INFORMATION SYSTEMS AND LOGISTICS IN CIVIL ENGINEERING

The system for statistical analysis of logistic information

Vestnik MGSU 5/2015
  • Khayrullin Rustam Zinnatullovich - Moscow State University of Civil Engineering (MGSU) Doctor of Physical and Mathematical Sciences, senior scientific worker, Professor, Department of Higher Mathematics, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 133-140

The current problem for managers in logistic and trading companies is the task of improving the operational business performance and developing the logistics support of sales. The development of logistics sales supposes development and implementation of a set of works for the development of the existing warehouse facilities, including both a detailed description of the work performed, and the timing of their implementation. Logistics engineering of warehouse complex includes such tasks as: determining the number and the types of technological zones, calculation of the required number of loading-unloading places, development of storage structures, development and pre-sales preparation zones, development of specifications of storage types, selection of loading-unloading equipment, detailed planning of warehouse logistics system, creation of architectural-planning decisions, selection of information-processing equipment, etc. The currently used ERP and WMS systems did not allow us to solve the full list of logistics engineering problems. In this regard, the development of specialized software products, taking into account the specifics of warehouse logistics, and subsequent integration of these software with ERP and WMS systems seems to be a current task. In this paper we suggest a system of statistical analysis of logistics information, designed to meet the challenges of logistics engineering and planning. The system is based on the methods of statistical data processing.The proposed specialized software is designed to improve the efficiency of the operating business and the development of logistics support of sales. The system is based on the methods of statistical data processing, the methods of assessment and prediction of logistics performance, the methods for the determination and calculation of the data required for registration, storage and processing of metal products, as well as the methods for planning the reconstruction and development of the existing warehouses. The results of approbation of software for the logistics of designing large warehouses of metal trading companies are given.

DOI: 10.22227/1997-0935.2015.5.133-140

References
  1. Sergeev V.I. Logistika v biznese [Logistics in Business]. Moscow, Infra-M Publ., 2007, 608 p. (In Russian)
  2. Frazelle E. World-Class Warehousing and Material Handling. McGraw-Hill; 1 edition, 2001, 280 p.
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  4. Zhavoronkov E.P. Effektivnost’ logistiki v stroitel’stve : protsessy, sistemy, upravlenie [Logistics Performance in Civil Engineering : Processes, Systems, Management]. Moscow, KIA center Publ., 2002, 136 p. (In Russian)
  5. Zelentsov L.B., Shilov Yu.V. Logisticheskoe modelirovanie predprinimatel’skoy deyatel’nosti v sfere kapital’nogo stroitel’stva [Logistics Modeling of Business Activity in Major Construction]. Rynok i stroitel’stvo : Uchenye zapiski instituta ekonomiki i upravleniya [The Market and Civil Engineering. Scientific Notes of the Institute of Economics and Management]. No. 1. Rostov on Don, RGSU Publ., 1997, pp. 34. (In Russian)
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  8. Shol’ E., Shumaev V. Informatsionnoe obespechenie logisticheskikh tekhnologiy [Information Support of Logistic Technologies]. RISK (Resursy, Informatsiya, Snabzhenie, Konkurentsiya) [RISK (Resources, Information, Supply, Competition]. 2006, no. 1, pp. 12—18. (In Russian)
  9. Tasueva T. K voprosu o logisticheskom potentsiale regional’noy skladskoy logisticheskoy sistemy [On the Potential Problem of Regional Warehouse Logistics System]. RISK (Resursy, Informatsiya, Snabzhenie, Konkurentsiya) [RISK (Resources, Information, Supply, Competition]. 2013, no. 2, pp. 31—33. (In Russian)
  10. Odess V., Semenov N. Ot snabzheniya i sbyta cherez optovuyu torgovlyu k logistike (Vospominaniya veteranov ITKOR ob istorii razvitiya instituta) [From supply and marketing through wholesale to logistics (Memoirs of the Veterans of ITKOR on the History of Institute Development]. RISK (Resursy, Informatsiya, Snabzhenie, Konkurentsiya) [RISK (Resources, Information, Supply, Competition]. 2012, no. 1, pp. 647—651. (In Russian)
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  14. Gayfulin B.N., Obukhov I.A. Avtomatizirovannye sistemy upravleniya predpriyatiyami standarta ERP/MRPII [Automated Enterprise Management Systems of Standard ERP / MRP-II]. Moscow, Bogorodskiy pechatnik Publ., 2001, 104 p. (In Russian)
  15. Trapulenis R. Struktura i osobennosti sistemy SOLVO.WMS [Structure and Features of the System SOLVO.WMS]. Korporativnye sistemy [Corporate Systems]. 2006, no. 6, pp. 55—58. (In Russian)
  16. Trapulenis R. Sistema SOLVO.WMS [System SOLVO.WMS]. Uslugi i tseny [Services and Prices]. 2008, no. 18, pp. 40—42. (In Russian)
  17. Khayrullin R.Z. Sistema operativnogo upravleniya skladskoy logistikoy metallotorguyushchikh kompaniy [Operational Management System for Warehouse Logistics of Metal Trafing Companies]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 6, pp. 172—178. (In Russian)
  18. Khayrullin R.Z. Sistema ucheta i kontrolya logisticheskikh zatrat [The System of Account and Control of Logistics Costs]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 12, pp. 193—201. (In Russian)
  19. Khayrullin R.Z. Matematicheskoe modelirovanie razvoza gruzov po razvetvlennoy seti avtodorog [Mathematical Simulation of the Cargoes Delivery on an Extensive Network of Automobile Roads]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 7, pp. 184—191. (In Russian)
  20. Gmurman V.E. Teoriya veroyatnostey i matematicheskaya statistika [The Probability Theory and Mathematical Statistics]. 9-th edition. Moscow, Vysshaya shkola Publ., 2003, 479 p. (In Russian)

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Method of determining the distance to the object by analyzing its image blur

Vestnik MGSU 6/2015
  • Loktev Aleksey Alekseevich - Moscow State University of Civil Engineering (MGSU) Doctor of Physical and Mathematical Sciences, Associate Professor, Department of Theoretical Mechanics and Aerodynamics, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; +7 (499) 183-24-01; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Loktev Daniil Alekseevich - Bauman Moscow State Technical University (BMSTU) postgraduate student, Department of Information Systems and Telecommunications, Bauman Moscow State Technical University (BMSTU), 5 2-ya Baumanskaya str., Moscow, 105005, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 140-151

In modern integrated monitoring systems and systems of automated control of technological processes there are several essential algorithms and procedures for obtaining primary information about an object and its behavior. The primary information is characteristics of static and moving objects: distance, speed, position in space etc. In order to obtain such information in the present work we proposed to use photos and video detectors that could provide the system with high-quality images of the object with high resolution. In the modern systems of video monitoring and automated control there are several ways of obtaining primary data on the behaviour and state of the studied objects: a multisensor approach (stereovision), building an image perspective, the use of fixed cameras and additional lighting of the object, and a special calibration of photo or video detector.In the present paper the authors develop a method of determining the distances to objects by analyzing a series of images using depth evaluation using defocusing. This method is based on the physical effect of the dependence of the determined distance to the object on the image from the focal length or aperture of the lens. When focusing the photodetector on the object at a certain distance, the other objects both closer and farther than a focal point, form a spot of blur depending on the distance to them in terms of images. Image blur of an object can be of different nature, it may be caused by the motion of the object or the detector, by the nature of the image boundaries of the object, by the object’s aggregate state, as well as by different settings of the photo-detector (focal length, shutter speed and aperture).When calculating the diameter of the blur spot it is assumed that blur at the point occurs equally in all directions. For more precise estimates of the geometrical parameters determination of the behavior and state of the object under study a statistical approach is used to determine the individual parameters and estimate their accuracy. A statistical approach is used to evaluate the deviation of the dependence of distance from the blur from different types of standard functions (logarithmic, exponential, linear). In the statistical approach the evaluation method of least squares and the method of least modules are included, as well as the Bayesian estimation, for which it is necessary to minimize the risks under different loss functions (quadratic, rectangular, linear) with known probability density (we consider normal, lognormal, Laplace, uniform distribution). As a result of the research it was established that the error variance of a function, the parameters of which are estimated using the least squares method, will be less than the error variance of the method of least modules, that is, the evaluation method of least squares is more stable. Also the errors’ estimation when using the method of least squares is unbiased, whereas the mathematical expectation when using the method of least modules is not zero, which indicates the displacement of error estimations. Therefore it is advisable to use the least squares method in the determination of the parameters of the function.In order to smooth out the possible outliers we use the Kalman filter to process the results of the initial observations and evaluation analysis, the method of least squares and the method of least three standard modules for the functions after applying the filter with different coefficients.

DOI: 10.22227/1997-0935.2015.6.140-151

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  15. Alfimtsev A.N., Loktev D.A., Loktev A.A. Sravnenie metodologiy razrabotki sistem intellektual’nogo vzaimodeystviya [Comparison of Development Methodologies for Systems of Intellectual Interaction]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2013, no. 5, pp. 200—208. (In Russian)
  16. Jiwani M.A., Dandare S.N. Single Image Fog Removal Using Depth Estimation Based on Blur Estimation. International Journal of Scientific and Research Publications. 2013, vol. 3, no. 6, pp. 1—6.
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  19. Wang H., Cao F., Fang Sh., Yang Cao, Fang Ch. Effective Improvement for Depth Estimated Based on Defocus Images. Journal of Computers. April 2013, vol. 8, no. 4, pp. 888—895. DOI: http://dx.doi.org/10.4304/jcp.8.4.888-895.
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Methodology of decision making in the process of reconstructing the destroyed structures

Vestnik MGSU 8/2014
  • Nekrest'yanov Viktor Nikolaevich - Military Technical University (VTU) postgraduate student, Military Technical University (VTU), 8 Karbysheva str., Balashikha, Moscow Region, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 192-198

The article regards decision tree method; it is a graphical interpretation of decision making process reflecting the factors taking place in decision making. For recovery operations of the destroyed objects it is often necessary to make decisions under the terms of uncertainty so this method will allow to find correct decision. The problem of recovery works usually rests on the questions of the recovery rationality of this or that structure under particular type of available technology. If technology applied to the recovery works is performed smoothly, the works can be made ahead of scheduled recovery. If work equipment fails, the result of it will be a backlog of work. This article describes the algorithm of making decisions. The suggested algorithm of making decisions gives a possibility to find a rational solution for other problems of a similar type. Thus, a manager has more alternate approaches to the solution of damage recovery problems. For example, in this case they consist of the following questions: whether it is necessary to construct a model of recovery works? is it worth starting the recovery works? what is the recovery time?

DOI: 10.22227/1997-0935.2014.8.192-198

References
  1. Larichev I.O. Verbal'nyy analiz resheniy [Verbal Decision Analysis]. Мoscow, Nauka Publ., 2006, 181 p.
  2. Orlov A.I. Organizatsionnye struktury i mekhanizmy upravleniya [Organization Structures and Controlling Mechanisms]. Biznes-komanda i ee lider [Business Team and its Leader]. 2005, no. 10, pp. 17—26.
  3. Petrovskiy A.B. Mnogokriterial'noe prinyatie resheniy po protivorechivym dannym: podkhod teorii mul'timnozhestv [Multicriterial Decision Making on Contradictory Data. Multiset Theory Approach]. Informatsionnye tekhnologii i vychislitel'nye sistemy [Information Technologies and Computer Systems]. 2004, no. 2, pp. 56—66.
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  7. Raiffa H. Decision Analysis: Introductory Readings on Choices under Uncertainty. McGraw Hill, 1997, 309 p.
  8. Clemen R. Making Hard Decisions: An Introduction to Decision Analysis. 2nd edition. Belmont CA. Duxbury Press, 1996, 664 p.
  9. Virine L., Trumper M. Project Decisions: The Art and Science. Vienna, VA, Management Concepts, 2008, 344 p.
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Statistical analysis of simulations of queuing system models with bunker storage and interval delay of the inception of service

Vestnik MGSU 10/2014
  • Anufriev Dmitriy Petrovich - Astrakhan Institute of Civil Engineering (AISI) Candidate of Technical Sciences, Professor, Rector, Astrakhan Institute of Civil Engineering (AISI), 18 Tatishcheva st., Astrakhan, 414056, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Kholodov Artem Yur'evich - Astrakhan Institute of Civil Engineering (ACEI) Candidate of Technical Sciences, Associate Professor, Department of Physics and Mathematics, Astrakhan Institute of Civil Engineering (ACEI), 18 Tatishchev st., Astrakhan, 414056; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 197-211

The present work is concerned with statistical analysis of functional characteristics’ estimation of the outlet flow with the purpose to transfer to the analysis of multiphase series-connected queuing net, where a definite queuing system will be considered as a phase. The authors observe statistical methods of fitting criteria use in the process of parametric hypotheses check. The article presents a series of simulation experiments and statistical analysis aimed at to determining the parameter dependencies of the queuing system with storage hopper and interval delay in the beginning of service basing on the condition of identity types of incoming and outgoing flows of applications. On the basis of the expected incoming flow and servicer, the authors defined the method for calculating the maximum possible interval between the beginning of service system and effluent applications in relation to the type of exponential distribution. The study also developed a technique to obtain the parameters of the statistical null hypothesis using approximation approaches based on least squares method and the integral method.

DOI: 10.22227/1997-0935.2014.10.197-211

References
  1. Anufriev D.P., Kholodov A.Yu. Imitatsionnaya model' sistemy massovogo obsluzhivaniya s nakopitelem i interval'noy zaderzhkoy nachala obsluzhivaniya [Simulation Model of a Queuing System with Storage and Interval Delay of the Beginning of Service]. Perspektivy razvitiya stroitel'nogo kompleksa : materialy VII Mezhdunarodnoy nauchno-prakticheskoy konferentsii professorsko-prepodavatel'skogo sostava, molodykh uchenykh i studentov 28—31 oktyabrya 2013 goda [Prospects for the Development of the Building Complex: Materials of the 7th International Scientific-practical Conference of Academic Staff, Students and Young Scientists, October 28—31, 2013]. Edited by V.A. Gutman, A.L. Khachen'yan. Astrakhan, GAOU AO VPO «AISI» Publ., 2013, vol. 1, pp. 88—94. (in Russian)
  2. Anufriev D.P. Zhilishche kak element sotsial'no-ekonomicheskoy sistemy regiona: opyt prikladnogo issledovaniya [Housing as an Element of Regional Social and Economic System: the Experience of Applied Research]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 2, pp. 187—195. (in Russian)
  3. Anufriev D.P. Matematicheskaya model' regional'nogo stroitel'nogo kompleksa [Мathematical Model of Regional Building Complex]. Astrakhan' — dom budushchego: Tezisy 2 Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Astrakhan — Home of the Future. Proceedings of the 2nd International Scientific and Practical Conference]. Astrakhan, 2010, pp. 58—73. (in Russian)
  4. Kargapolova E.V., Aryasova A.Yu., Grechkina T.Yu., Lebedintseva L.A., Ubogovich Yu.I. Sotsiokul'turnyy portret Astrakhanskoy oblasti: opyt sotsiologicheskogo, ekonomicheskogo i politicheskogo analiza: monografiya [Social and Cultural Portrait of the Astrakhan Region: the Experience of Sociological, Economic and Political Analysis]. Volgograd, Volgogradskoe nauchnoe izdatel’stvo Publ., 2010, 307 p. (in Russian)
  5. Anufriev D.P. Upravlenie stroitel'nym kompleksom kak sotsial'no-ekonomicheskoy sistemoy: postanovka problemy [Managing the Building Complex as a Social and Economic System: Problem Statement]. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering]. 2012, no. 8, pp. 8—10. (in Russian)
  6. Konheim A.G., Reiser M. A Queueing Model with Finite Waiting Room and Blocking. J. Assoc. Comput. Mach. 1976, vol. 23, no. 2, pp. 328—341. DOI: http://dx.doi.org/10.1145/321941.321952.
  7. Kuehn P. Approximate Analysis of General Queuing Networks by Decomposition. IEEE Transact. on Communications. 1979, vol. 27, no. 1, pp. 113—126. DOI: http://dx.doi.org/10.1109/TCOM.1979.1094270.
  8. Kholodov A.Yu. Imitatsionnaya model' finansovykh vzaimootnosheniy uchastnikov dolevogo stroitel'stva [Simulation Model of Financial relations between the Participants of Shared Construction]. Imitatsionnoe modelirovanie. Teoriya i praktika : sbornik dokladov 5 Vserossiyskoy nauchno-prakticheskoy konferentsii IMMOD-2011 [Simulation. Theory and Practice: Proceedings of the 5th Anniversary All-Russian Scientific-Practical Conference IMMOD 2011]. Saint Petersburg, OAO «TsTSS» Publ., 2011, vol. 2, pp. 300—302. (in Russian)
  9. Kholodov A.Yu., Anufriev D.P. Imitatsionnoe modelirovanie finansovykh vzaimootnosheniy uchastnikov dolevogo stroitel'stva i otsenki riskov stroitel'nykh organizatsiy pri kompleksnoy zastroyke [Simulation Modeling of Financial Relationships in Participatory Construction and Risk Assessment of Construction Companies in the Process of Complex Building]. Trudy Vserossiyskoy nauchno-prakticheskoy konferentsii po imitatsionnomu modelirovaniyu sotsial'no-ekonomicheskikh sistem (VKIMSES) 15 maya 2012 goda [Works of the International Scientific and Practical Conference on Simulation of Socio-economic Systems, 15 May, 2012]. Moscow, OOO «Print-Servis» Publ., 2012, pp. 120—124. (in Russian)
  10. Zacks S. Theory of Statistical Inference. John Wiley & Sons Inc; First Edition edition, 626 p.
  11. Shannon R. Systems Simulation: The Art and Science. Prentice Hall, 368 p.
  12. Economou A., Fakinos D. Product Form Stationary Distributions for Queueing Networks with Blocking and Rerouting. Queueing Sistems: Theory Appl. 1998, vol. 30, no. 3/4, pp. 251—260. DOI: http://dx.doi.org/10.1023/A:1019117121530.
  13. Williams R.J. Diffusion Approximations for Open Multiclass Queueing Networks: Sufficient Conditions Involving State Space Collapse. Queueing Systems: Theory Appl. 1998, vol. 30, no. 1/2, pp. 27—88. DOI: 10.1023/A:1019108819713.

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Modular decomposition of production and logistic processes in construction

Vestnik MGSU 10/2014
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, corresponding member of Russian Academy of Architectural and Construction Sciences, Professor, Department of Information Systems, Technologies and automation in Construction, Rector, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Petrova Svetlana Nikolaevna - Moscow State University of Civil Engineering (MGSU) Candidate of Technical Sciences, Assosiate Professor, Department of Information Systems, Technology and Automation in Civil Engineering, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Dubovkina Alla Viktorovna - Moscow State University of Civil Engineering (MGSU) postgraduate student, Assistant Lecturer, Department of Information Systems, Technologies and Automation in Construction, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 212-218

In the process of organizing the cooperation of participants of construction special attention should be paid to logistic connections, which formed in frames of planning, management and control of material, information and financial resources. Logistics in the construction is of integrated character and is carried out in frames of different modules cooperation. In the given article the authors consider the cooperation of organizations-participants of a big construction company, which includes enterprises and organizations - suppliers of materials and raw materials for construction industry, transport organizations and organizations performing construction and installation works. Modular decomposition of production and logistic construction processes is conducted. The authors suggest a solution for the problem of expedience of putting a construction object into operation with the help of cooperation organization of the participants basing on the normative document - industrial transport and technological modulus. It is planned to control of schedules and plans in such time scale, in which they are made, by means of "virtual enterprise".

DOI: 10.22227/1997-0935.2014.10.212-218

References
  1. Stakhanov V.N., Ivakin E.K. Logistika v stroitel’stve [Logistics in construction]. Moscow, Prior Publ., 2001, 176 p. (in Russian)
  2. Pantileenko V.N., Veryaskina E.M. Organizatsiya, upravlenie i planirovanie v stroitel’stve [Organization, Management and Planning in the Construction]. Ukhta, UGTU Publ., 2010, 176 p. (in Russian)
  3. Us’kov V.V. Komp’yuternye tekhnologii v podgotovke i upravlenii stroitel’stvom ob”ektov [Computer Technologies in the Preparation and Management of Construction Projects]. Vologda, Infra-Inzheneriya Publ., 2011, 320 p. (in Russian)
  4. Volkov A.A. Informatsionnoe obespechenie v ramkakh kontseptsii intellektual’nogo zhilishcha [Information Support under the Concept of Smart Homes]. Zhilishchnoe stroitel’stvo [House Construction]. 2001, no. 8, pp. 4—5. (in Russian)
  5. Volkov A.A. Aktivnaya bezopasnost’ stroitel’nykh ob”ektov v usloviyakh chrezvychaynoy situatsii [Active Safety of Construction Objects in Emergency Situations]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and Civil Engineering]. 2000, No. 6, pp. 34—35. (in Russian)
  6. Volkov A.A. Sistemy aktivnoy bezopasnosti stroitel’nykh ob”ektov [Active Safety Systems of Construction Sites]. Zhilishchnoe stroitel’stvo [House Construction]. 2000, no. 7, p. 13. (in Russian)
  7. Volkov A.A. Kompleksnaya bezopasnost’ uslovno-abstraktnykh ob”ektov (zdaniy i sooruzheniy) v usloviyakh chrezvychaynykh situatsiy [Integrated Safety of Conditionally Abstract Objects (Buildings and Structures) in Emergency Situations]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2007, no. 3, pp. 30—35. (in Russian)
  8. Volkov A.A. Gomeostaticheskoe upravlenie zdaniyami [Homeostatic Management of Buildings]. Zhilishchnoe stroitel’stvo [House Construction]. 2003, no. 4, pp. 9—10. (in Russian)
  9. Volkov A.A., Pikhterev D.V. K voprosu ob organizatsii informatsionnogo obespecheniya stroitel’nogo ob”ekta [On the Issue of Arrangement of Information Support of a Construction Facility]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2011, no. 6, pp. 460—462. (in Russian)
  10. Volkov A.A. Virtual’nyy informatsionnyy ofis stroitel’noy organizatsii [Virtual Information Office of a Building Company]. Stroitel’nye materialy, oborudovanie, tekhnologii XXI veka [Building Materials, Equipment, Technologies of the 21st century]. 2002, no. 2, pp. 28—29. (in Russian)
  11. Volkov A.A. Gomeostat stroitel’nykh ob”ektov. Chast’ 3. Gomeostaticheskoe upravlenie [Homeostat of Construction Projects. Part 3. Homeostatic Management]. Stroitel’nye materialy, oborudovanie, tekhnologii XXI veka [Building Materials, Equipment, Technologies of the 21st century]. 2003, no. 2, pp. 34—35. (in Russian)
  12. Losev K.Yu., Losev Yu.G., Volkov A.A. Razvitie modeley predmetnoy oblasti stroitel’noy sistemy v protsesse razrabotki informatsionnoy podderzhki proektirovaniya [Building System Subject Area Development During the Process of Design-cals-system Work out]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2011, vol. 1, no. 1, pp. 352—357. (in Russian)
  13. Volkov A., Chulkov V., Kazaryan R., Fachratov M., Kyzina O., Gazaryan R. Components and Guidance for Constructional Rearrangement of Buildings and Structures within Reorganization Cycles. Applied Mechanics and Materials. 2014, vol. 580—583, pp. 2281—2284. DOI: http://dx.doi.org/10.4028/www.scientific.net/AMM.580-583.2281.
  14. Comer D.E. Internetworking with TCP/IP: Principles, Protocols, and Architecture. Vol. 1, 2nd ed. Englewood Cliffs, New Jersey, Prentice Hall, 1991, 547 p.
  15. CORBA — Arkhitektura raspredelennykh ob"ektov. Delphi, Tekhnologii, CORBA [CORBA — Architecture of Distributed Objects. Delphi, Technologies, CORBA]. KANSoftWare. Available at: http://www.kansoftware.ru/?tid=861. Date of access: 13.09.2014.
  16. Davidow W.H., Malone M.S. The Virtual Corporation: Structuring and Revitalizing the Corporation for the 21st Century. New York, Harper Collins, 1992, 304 p.
  17. Extensible Markup Language (XML) 1.1 (Second Edition) W3C Recommendation 16 August 2006, edited in place 29 September 2006. W3C. Available at: http://craab-ninja.appspot.com/www.w3.org/TR/xml11. Date of access: 13.09.2014.
  18. Fouquet М., Niedermayer Н., Carle G. Cloud Computing for the Masses. Proceedings of the 1st ACM Workshop on User-provided Networking: Challenges and Opportunities. ACM, 2009, pp. 31—36.
  19. Weinstein B. NET Platform Could be Answer to ASP, HSP Security Problems. ASPStreet.com, April 4, 2002. Available at: http://www.aspstreet.com/archive/d.taf/sid,25/id,18541. Date of access: 13.09.2014.
  20. Ying Z. Research on Management of Data Flow in the Cloud Storage Node Based on Data Block. 3th International Conference on Information and Computing. 2010, vol. 4, pp. 333—335. DOI: http://dx.doi.org/10.1109/ICIC.2010.355.

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Mathematical description of information interaction in investment and construction activities

Vestnik MGSU 5/2014
  • Sborshchikov Sergey Borisovich - Moscow State University of Civil Engineering (MGSU) Doctor of Economical Sciences, Professor, Department of Technology, Management and Administration in the Construction, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Lazareva Natal'ya Valer'evna - Moscow State University of Civil Engineering (MGSU) assistant, Department of Organization Technology and Management in Construction, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Zharov Yaroslav Vladimirovich - Moscow State University of Civil Engineering (MGSU) assistant, Department of Technology, Management and Administration in the Construction, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russia; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 170-175

For effective management of investment and construction activity (ICA) there must be a subsystem responsible for information interaction. The article considers the role of information in ICA, as well as the requirements and objectives of the information systems. Data collection, communication and processing, according to the authors, reflect the system running efficiency. Thanks to information security subsystem there is a possibility of measuring the efficiency of resource use and the relations between inputs and outputs of individual elements throughout investment and construction activities. Requirements of modern economic realities, particularly, investment and construction activities dynamics, should be adjusted to the flow of information: creating new connections, terminating the others. Developing the information management system, its structure and composition require consideration and planning. Development planning and management is closely related to the improvement of information links and upgrading the entire system of information security, its structure and functioning.

DOI: 10.22227/1997-0935.2014.5.170-175

References
  1. Manakov L.F., Faltinskiy R.A. Krizis v investitsionno-stroitel'noy sfere: istoki, ugrozy, novye vozmozhnosti [The Crisis in the Construction Industry Investment: Origins, Threats, New Opportunities]. Ekonomicheskoe vozrozhdenie Rossii [Economic Renovation of Russia]. 2009, no. 1, pp. 19—24.
  2. Volkov A.A., Losev Yu.G., Losev K.Yu. Informatsionnaya podderzhka zhiznennogo tsikla ob"ektov stroitel'stva [Information Support of Construction Project Lifecycle]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2012, no. 11, pp. 253—258.
  3. Sborshchikov S.B. Organizatsionnye osnovy ustoychivogo razvitiya energeticheskogo stroitel'stva [Institutional Framework for Sustainable Development of Energy Sector Construction]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2010, no. 4, vol. 2, pp. 363—368.
  4. Volkov A.A., Anikin D.V., Kulikova E.N. Model' interoperabel'nosti korporativnogo informatsionnogo prostranstva stroitel'nykh organizatsiy [Interoperability Model for Corporate Information Space of Construction Companies]. International Journal for Computational Civil and Structural Engineering. 2012, vol. 8, no. 4, pp. 117—121.
  5. Zharov Ya.V. Organizatsionno-tekhnologicheskoe proektirovanie pri realizatsii investitsionno-stroitel'nykh proektov [Process Organization Design within the Framework of Construction Projects]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2013, no. 5, pp. 176—184.
  6. Sborshchikov S.B., Lazareva N.V. Logisticheskoe opisanie sistemy upravleniya investitsionno-stroitel'noy deyatel'nost'yu [Logistic Description of Investment and Construction Management]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 1, pp. 196—201.
  7. Markasov S.V., Mkrtchyan K.M. Infokommunikatsii i effektivnost' ikh ispol'zovaniya [Infocommunications and Their Effective Use]. Ekonomicheskoe vozrozhdenie Rossii [Economic Renovation of Russia]. 2010, no. 2, pp. 24—29.
  8. Zhavoronkov E.P. Resursnyy faktor i logistika v stroitel'stve [Resource Factor and Logistics in Construction]. Ekonomicheskoe vozrozhdenie Rossii [Economic Renovation of Russia]. 2006, no. 1, pp. 7—13.
  9. Kostyuchenko V.V., Kudinov D.O. Informatsionnoe obespechenie upravleniya stroitel'nymi sistemami [Data Support of Construction System Management]. Inzhenernyy vestnik Dona [Engineering Proceedings of Don]. 2012, no. 3, pp. 25—30.
  10. Sacks R., Koskela L., Dave B., Owen R. Interaction of Lean and Building Information Modeling in Construction. Journal of Construction Engineering and Management. 2010, vol. 136, no. 9, pp. 968—980. DOI: 10.1061/(ASCE)CO.1943-7862.0000203.
  11. Dulaimi M.F., Ling F.Y. and Bajracharya A. Organizational Motivation and Inter-Organizational Interaction in Construction Innovation in Singapore. Construction Management and Economics. 2003, vol. 21, no. 3, pp. 307—318. DOI:10.1080/0144619032000056144.
  12. Durán R.P., Szymanski M.H. Cooperative Learning Interaction and Construction of Activity. Discourse Processes. 1995, vol. 19, no. 1, pp. 149—164. DOI: 10.1080/01638539109544909.
  13. Koo B., Fischer M. Feasibility Study of 4D CAD in Commercial Construction. Journal of Construction Engineering and Management. 2000, vol. 126, no. 4, pp. 251—260.
  14. Hage Chehade F., Shahrour I. Numerical Analysis of the Interaction Between Twin-Tunnels: Influence of the Relative Position and Construction Procedure. Tunneling and Underground Space Technology. 2008, vol. 23, no. 2, pp. 210—214. DOI: 10.1016/j.tust.2007.03.004.
  15. Kuhlthau C.C. The Role of Experience in the Information Search Process of an Early Career Information Worker: Perceptions of Uncertainty, Complexity Construction, and Sources. JASIS. 1999, vol. 50, no. 5, pp. 399—412. DOI: 10.1002/(SICI)1097-4571(1999)50:5<399::AID-ASI3>3.0.CO;2-L.

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GPU TECHNOLOGIES EMBODIED IN PARALLEL SOLVERS OF LINEAR ALGEBRAIC EQUATION SYSTEMS

Vestnik MGSU 5/2012
  • Sidorov Alexander Vladimirovich - Research and Educational Centre of Computer Modeling, Moscow State University of Civil Engineering (MSUCE) postgraduate student, Junior Researcher, Research and Educational Centre of Computer Modeling, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 187 - 193

The author reviews existing shareware solvers that are operated by graphical computer devices. The purpose of this review is to explore the opportunities and limitations of the above parallel solvers applicable for resolution of linear algebraic problems that arise at Research and Educational Centre of Computer Modeling at MSUCE, and Research and Engineering Centre STADYO. The author has explored new applications of the GPU in the PETSc suite and compared them with the results generated absent of the GPU. The research is performed within the CUSP library developed to resolve the problems of linear algebra through the application of GPU. The author has also reviewed the new MAGMA project which is analogous to LAPACK for the GPU.

DOI: 10.22227/1997-0935.2012.5.187 - 193

References
  1. StaDyO Scientific and Research Centre, website available at: http://www.stadyo.ru. Date of access: 16.04.12.
  2. CUDA Zone. Website available at: http://www.nvidia.ru/object/cuda_home_new_ru.html. Date of access: 16.04.12.
  3. GPGPU. Website available at: http://ru.wikipedia.org/wiki/GPGPU. Date of access: 16.04.12.
  4. PETSc. Website available at: http://www.mcs.anl.gov/petsc. Date of access: 16.04.12.
  5. Message Passing Interface. Website available at: http://ru.wikipedia.org/wiki/Message_Passing_Interface. Date of access: 16.04.12.
  6. Thrust Code at the Speed of Light. Website available at: http://code.google.com/p/thrust. Date of access: 16.04.12.
  7. Magnus R. Hestenes and Eduard Stiefel. Methods of Conjugate Gradients for Solving Linear Systems. Journal of Research of the National Bureau of Standards, no. 6, vol. 49, December 1952. Research Paper 2379, pp. 409—436.
  8. cusp-library — Generic Parallel Algorithms for Sparse Matrix and Graph Computations. Website available at: http://code.google.com/p/cusp-library. Date of access: 16.04.12.
  9. MAGMA. Website available at: http://icl.cs.utk.edu/magma. Date of access: 16.04.12.
  10. Belostotsky A.M., Vasilyev S.L., Sidorov A.V. Solving of Large Algebraic Problems by Parallel Algorithms. Leading Program Packages Features and Own Investigation. International Journal for Computational Civil and Structural Engineering, no.1 & 2, vol. 6, 2010, pp. 65—66.

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ALGORITHM OF OBJECT RECOGNITION

Vestnik MGSU 5/2012
  • Loktev Alexey Alexeevich - Moscow State University of Civil Engineering (MSUCE) Candidate of Physical and Mathematical Sciences, Associated Professor, Department of Theoretical Mechanics and Aerodynamics, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Alfimtsev Alexander Nikolaevich - Moscow State Technical University named after N.E. Bauman (МSTU) Candidate of Technical Sciences, Associated Professor, Department of Information Systems and Telecommunications +7 (499) 267-65-37, Moscow State Technical University named after N.E. Bauman (МSTU), 5 2-nd Baumanskaya st., Moscow, 105005, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Loktev Daniil Alexeevich - Moscow State Technical University named after N.E. Bauman (МSTU) student, Department of Informatics and Control Systems +7 (499) 267-65-37, Moscow State Technical University named after N.E. Bauman (МSTU), 5 2-nd Baumanskaya st., Moscow, 105005, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 194 - 201

The second important problem to be resolved to the algorithm and its software, that comprises an automatic design of a complex closed circuit television system, represents object recognition, by virtue of which an image is transmitted by the video camera. Since imaging of almost any object is dependent on many factors, including its orientation in respect of the camera, lighting conditions, parameters of the registering system, static and dynamic parameters of the object itself, it is quite difficult to formalize the image and represent it in the form of a certain mathematical model. Therefore, methods of computer-aided visualization depend substantially on the problems to be solved. They can be rarely generalized. The majority of these methods are non-linear; therefore, there is a need to increase the computing power and complexity of algorithms to be able to process the image. This paper covers the research of visual object recognition and implementation of the algorithm in the view of the software application that operates in the real-time mode

DOI: 10.22227/1997-0935.2012.5.194 - 201

References
  1. Nikitin V.V., Tsytsulin A.K. Televidenie v sistemakh fizicheskoy zashchity [Television within the Framework of Systems of Physical Protection: Tutorial]. St.Petersburg, LETI Publ., 2001,135 p.
  2. Volkhonskiy G.V. Kriterii vybora razreshayushchey sposobnosti v sistemakh telenablyudeniya [Criteria of Choice of Resolution of Videosurveillance Systems]. PROSystem CCTV, 2009, no.2 (38), pp. 60—64.
  3. Druki A.A. Sistema poiska, vydeleniya i raspoznavaniya lits na izobrazheniyakh [System of Search, Identification, and Recognition of Faces in Images]. Izvestiya Tomskogo politekhnicheskogo universiteta [News Bulletin of Tomsk Polytechnic University]. 2011, no. 5, vol. 318, pp. 64—70.
  4. Chernomordik I.V. Ob odnom algoritme vosstanovleniya v zadache raspoznavaniya izobrazheniya [About the Algorithm of Recovery within the Framework of Image Recognition Problem]. Vestnik Permskogo universiteta. Seriya: Matematika. Mekhanika. Informatika [Proceedings of Perm University. Series: Mathematics. Mechanics. Informatics]. 2010, vol. 4(4), pp. 50—53.
  5. Glumov N.I. Myasnikov E.V., Kopenkov V.N., Chicheva M.A. Metod bystroy korrelyatsii s ispol’zovaniem ternarnykh shablonov pri raspoznavanii ob”ektov na izobrazheniyakh [Method of Fast Correlation Based on the Use of Ternary Patterns as Part of Object Recognition in Images]. Komp’yuternaya optika [Computer Optics]. 2008, no. 3, vol. 32, pp. 277—282.
  6. Kravchenko P.P., Khusainov N.Sh., Khadzhinov A.A., Pogorelov K.V., Shkurko A.N. Programmnaya sistema mnogostoronnego obmena audiovideoinformatsiey dlya ispol’zovaniya v sistemakh videonablyudeniya [Software System of Multilateral Exchange of Audio Information to Be Implemented in Systems of Video Surveillance]. Informatsionnoe protivodeystvie ugrozam terrorizma [Informational Resistance to Threats of Terrorism]. 2002, no. 1, pp. 109—114.

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COMPUTER-AIDED ANALYSIS OF THE REINFORCEMENT OF A LOGGIA SLAB THAT HAS A BRICK BARRIER

Vestnik MGSU 8/2012
  • Zaikin Vladimir Genrikhovich - State Unitary Enterprise Vladimirgrazhdanproekt - Principal Institute of Structural Design postgraduate student, Director, Department of Analysis of Building Structures 8 (4922) 32-62-32, 8 (4922) 32-27-54, State Unitary Enterprise Vladimirgrazhdanproekt - Principal Institute of Structural Design, Vladimir, 9 Oktyabrskiy prospekt, 600025, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 221 - 225

In the paper, the author demonstrates the possibility to take account of effective stiffness of the
barrier in the analysis of the reinforcement of a loggia slab based on the condition of deflection. No
enhanced reinforcement is needed, unlike in the event of a manual analysis.
The method of computer-aided analysis proposed by the author may be applicable to the
analysis of monolithic mushroom structures, particularly, to those sections that are located below the
walls. The amount of reinforcing steel saved through the application of the proposed methodology
may exceed 50 %, if the boundary deflection values are taken into account.

DOI: 10.22227/1997-0935.2012.8.221 - 225

References
  1. SNiP 2.01.07—85*. Nagruzki i vozdeystviya [Construction Norms and Rules 2.01.07—85*. Loads and Actions]. Gosstroy SSSR [USSR State Committee for Construction]. Moscow, GUP TsPP [State Unitary Enterprise Centre for Design Products in the Construction Industry]. 2000, 44 p.
  2. SNiP II-22—81*. Kamennye i armokamennye konstruktsii [Construction Norms and Rules II-22—81*. Masonry and Reinforced Masonry Structures]. Gosstroy Rossii [State Committee for Construction of Russia]. Moscow, FGUP TsPP [Federal State Unitary Enterprise Centre for Design Products in the Construction Industry], 2004, 41 p.
  3. SP 52-101—2003. Betonnye i zhelezobetonnye konstruktsii bez predvaritel’nogo napryazheniya armatury [Construction Rules 52-101—2003. Concrete and Reinforced Concrete Structures without Prestressing of the Reinforcement]. NIIZhB Gosstroya Rossii [Scientific and Research Institute of Concrete and Reinforced Concrete of the State Committee for Construction of Russia]. Moscow, FGUP TsPP [Federal State Unitary Enterprise Centre for Design Products in the Construction Industry]. 2004, 53 p.
  4. Posobie po proektirovaniyu betonnykh i zhelezobetonnykh konstruktsiy iz tyazhelogo betona bez predvaritel’nogo napryazheniya armatury (k SP 52-101—2003) [Manual on Design of Concrete and Reinforced Concrete Structures Made of Heavy Concrete without Prestressing of the Reinforcement (Based on Construction Rules 52-101-2003)]. Moscow, TsNIIPromzdaniy [Central Scientific and Research Institute of Industrial Buildings], Moscow, 2005, 214 p.
  5. SNiP 3.03.01—87. Nesushchie i ograzhdayushchie konstruktsii [Construction Norms and Rules 3.03.01—87. Bearing and Walling Structures]. Gosstroy SSSR [USSR State Committee for Construction]. Moscow, 1988, 191 p.

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AUTOMATED DESIGN AND STRENGTH ANALYSIS OF SINGLE-CONTOUR GEODETIC SHELLS COMPOSED OF FLAT ELEMENTS

Vestnik MGSU 8/2012
  • Suprun Anatoliy Nikolaevich - Nizhegorodskiy State University of Architecture and Civil Engineering Doctor of Physical and Mathematical Sciences, Professor, Chair, Department of Information Systems and Technologies 8 (831) 4 30-54-92, Nizhegorodskiy State University of Architecture and Civil Engineering, 65 Nizhniy Novgorod, 603950, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Dyskin Lev Matveevich - Nizhegorodskiy State University of Architecture and Civil Engineering ( Doctor of Technical Sciences, Professor, Department of Heating and Ventilation 8 (831) 430-54-86, Nizhegorodskiy State University of Architecture and Civil Engineering (, 65 Nizhniy Novgorod, 603950, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Platov Aleksandr Yurevich - Nizhegorodskiy State University of Architecture and Civil Engineering Doctor of Technical Sciences, Associated Professor, Department of Information Systems in the Economy 8 (831) 437-07-28, Nizhegorodskiy State University of Architecture and Civil Engineering, 65 Nizhniy Novgorod, 603950, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Lakhov Andrey Yakovlevich - Nizhegorodskiy State University of Architecture and Civil Engineering Candidate of Technical Sciences, Associated Professor, Department of Informational Systems and Technologies 8 (831) 430-54- 92, Nizhegorodskiy State University of Architecture and Civil Engineering, 65 Nizhniy Novgorod, 603950, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 226 - 233

The article is a brief review of the research of the stress-deformation state of a structure
that represents a hemispherical geodetic dome exposed to the dead load. Single-contour geodetic
domes composed of flat plates are the subject of the research. The process of their design has two
stages: (a) design of geometric models of geodetic domes and (b) analysis of domes.
The authors demonstrate that the first stage can be implemented through the employment of
the library of ArchiCAD objects. Supplementary research is needed to have the second stage implemented.
The objective of this research is to present the results of the research using computer-aided
methods of modeling of metal structures. The analysis of smooth hemispherical domes is performed
using analytical and finite-element methods within the Patran/Nastran environment. The authors
demonstrate that the results of the finite-element method analysis converge with the results of the
analytical method analysis.
Conversion of geometric models of geodetic domes into the format that satisfies Patran preprocessor
requires the employment of the Visual Basic software. Ultimately, comparison between
the results obtained in respect of the geodetic dome and the analytical results obtained in respect
of the smooth dome exposed to the dead load is performed. The conclusion is that the maximal
stress experienced by a single-contour geodetic dome, in the event of reduction of sizes of plates,
converges with the maximal stress of similar smooth domes.

DOI: 10.22227/1997-0935.2012.8.226 - 233

References
  1. Tupolev M.S. Novye arkhitekturnye tipy svodov i kupolov dlya massovogo stroitel’stva [New Architectural Types of Vaults and Domes for Large-scale Construction]. Мoscow, 1951.
  2. Fuller R.B. Geodesic Dome. Perspecta Publ., 1952, no. 1, pp. 30—33.
  3. Pavlov G.N., Suprun A.N. Avtomatizatsiya arkhitekturnogo proektirovaniya geodezicheskikh kupolov i obolochek [Automation of Architectural Design of Geodetic Domes and Envelopes]. Nizhniy Novgorod, NNGASU Publ., 2006, 162 p.
  4. Suprun A.N., Pavlov G.N., Lakhov A.Ya., Tkachenko A.K. Avtomatizatsiya arkhitekturnogo proektirovaniya i prochnostnogo rascheta geodezicheskikh obolochek [Automation of Architectural Design and Strength Analysis of Geodetic Domes]. Privolzhskiy nauchnyy zhurnal [Privolzhskiy Scientific Journal]. Nizhniy Novgorod, NNGASU Publ., 2008, № 23(7), pp. 15—19.
  5. Lakhov A.Ya., Suprun A.N. SVN — trekhmernye grafi cheskie interfeysy na osnove DirectX i VC# dlya vizualizatsii rezul’tatov raschetov bezopasnosti stroitel’nykh konstruktsiy [SVN — Three-dimensional Graphic Interfaces on the Basis of DirectX and VC # for Visualization of Results of Analysis of Safety of Building Structures]. Privolzhskiy nauchnyy zhurnal [Privolzhskiy Scientific Journal]. Nizhniy Novgorod, NNGASU Publ., 2010, no. 2, pp. 10—15.
  6. Lakhov A.Ya. Raschet dvukhkonturnykh geodezicheskikh kupolov sistemy «P» metodom konechnykh elementov v sisteme Patran/Nastran [Analysis of Dual-contour Geodetic Domes of P-System Using Method of Finite elements within the Patran/Nastran System]. Informatsionnaya sreda vuza [Information Medium of an Institution of Higher Education]. Proceedings of the 17th Scientific and Technical Conference. IGASU Publ., 2010, pp. 121—125.
  7. Lakhov A.Ya. Translyator geometricheskikh modeley odnokonturnykh geodezicheskikh obolochek ArchiCAD — Patran [ArchiCAD — Patran Translator of Geometric Models of Single-contour Geodetic Domes]. Proceedings of KOGRAF 2012 Scientific and Technical Conference. Nizhniy Novgorod, 2012, pp. 155—159.
  8. Karpov Yu.G. Teoriya i tekhnologiya programmirovaniya. Osnovy postroeniya translyatorov. [Theory and Technology of Programming. Basics of Constructing of Translators]. St.Petersburg, BHV-Peterburg Publ., 2005, 272 p.
  9. Vinogradov G.G. Raschet stroitel’nykh prostranstvennykh konstruktsiy. [Analysis of Spacial Structures]. Moscow, Stroyizdat Publ., 1990, 264 p.
  10. Shimkovich D.G. Raschet konstruktsiy v MSC.visualNastran for Windows [Analysis of Structures in MSC.visualNastran for Windows]. Moscow, DMK Press Publ., 2004, 704 p.
  11. Ohmori H., Yamamoto K. Shape Optimization of Shell and Spatial Structure for Specifi ed Stress Distribution. Memoires of the School of Engineering, Nagoya University, vol. 50, no. 1(1998), pp. 1—32.
  12. Loganathan S., Morgan R.C. Snap-through Buckling Analysis of Shallow Geodesic Dome Using MSC/Nastran. The Fifth Australian MSC Users Conference, Sydney, Australia, November, 1991.
  13. Anders M., Harte R. Buckling of Concrete Shells: a Simplifi ed Numerical Approach. Journal of the International Association for Shell and Spatial Structures. IASS Publ., vol. 47(2006), no. 3.

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SYSTEM ENGINEERING OF FUNCTIONAL MODELING OF INTELLIGENT BUILDINGS

Vestnik MGSU 10/2015
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, Professor, Rector, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Batov Evgeniy Igorevich - Moscow State University of Civil Engineering (National Research University (MGSU) postgraduate student, Department of Information Systems, Technology and Automation in Construction, Moscow State University of Civil Engineering (National Research University (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.

Pages 188-193

The authors’ scientific hypothesis is that a selection of the most appropriate smart building solution for a particular building can be done properly only using functional modeling. “Intelligent” building was examined from the point of view of systems theory and cybernetics for the purpose of identifying essential factors which should be taken into account in functional modeling. The goal of an “intelligent” building, as a system, was identified as a continuous adaptation to the building occupants’ life-cycle. Building Intelligence Quotient serves the purpose of a quantification of the system’s goal. The system state is a set of building parameters which can be measured by sensors and meters. Two main factors that influence the changes of the system state are: occupants’ activities and outside environment changes. A functional model of an “intelligent” building should be able to provide the ability to simulate such influence. Based on the conducted system analysis, system engineering principles, which can be particularly helpful for a functional model development of “intelligent” buildings, were selected: the principle of a functional system, the probabilistic-statistical principle, the principle of simulation modeling, the principle of interactive graphics, the feasibility study principle.

DOI: 10.22227/1997-0935.2015.10.188-193

References
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  2. Surmin Yu.P. Teoriya sistem i sistemnyy analiz [Theory of Systems and System Analysis]. Kiev, MAUP Publ., 2003, p. 64. (In Russian)
  3. Volkov A.A. Intellekt zdaniy: formula [Intelligence of Buildings: the Formula]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and Civil Engineering]. 2012, no. 3, pp. 54—57. (In Russian)
  4. Volkov A.A. Intellekt zdaniy. Chast’ 2 [Intelligence of buildings. Part 2]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2009, no. 1, pp. 213—216. (In Russian)
  5. Volkov A.A. Gomeostaticheskoe upravlenie zdaniyami [Homeostatic Management of Buildings]. Zhilishchnoe stroitel’stvo [House Construction]. 2003, no. 4, pp. 9—10. (In Russian)
  6. Gusakov A.A. Sistemotekhnika stroitel’stva [System Engineering of the Construction]. Moscow, Stroyizdat Publ., 1993, 368 p. (In Russian)
  7. Mozer M.C. Lessons from an Adaptive Home. Smart Environments: Technologies, Protocols, and Applications. Edited by D.J. Cook and S.K. Das. 2005, John Wiley & Sons, Inc. DOI: http://dx.doi.org/10.1002/047168659X.ch12.
  8. National Building Information Model Standard Project Committee: National BIM Standard — United States. Data access: https://www.nationalbimstandard.org/.
  9. BuildingSmart. Data access: http://www.buildingsmart.org.
  10. Volkov A.A. Kompleksnaya bezopasnost’ uslovno-abstraktnykh ob”ektov (zdaniy i sooruzheniy) v usloviyakh chrezvychaynykh situatsiy [Integrated Safety of conditionally abstract objects (buildings and structures) in emergency situations]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2007, no. 3, pp. 30—35. (In Russian)
  11. Volkov A.A. Sistemy aktivnoy bezopasnosti stroitel’nykh ob”ektov [Active Safety Systems of Construction Sites]. Zhilishchnoe stroitel’stvo [House Construction]. 2000, no. 7, p. 13. (In Russian)
  12. Volkov A.A., Yarulin R.N. Avtomatizatsiya proektirovaniya proizvodstva remontnykh rabot zdaniy i inzhenernoy infrastruktury [Computer-Aided Design of Repairs of Buildings and the Engineering Infrastructure]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2012, no. 9, pp. 234—240. (In Russian)

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MIDDLEWARE FOR FUNCTIONAL MODELING OF INTELLIGENT BUILDINGS

Vestnik MGSU 10/2015
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, Professor, Rector, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Batov Evgeniy Igorevich - Moscow State University of Civil Engineering (National Research University (MGSU) postgraduate student, Department of Information Systems, Technology and Automation in Construction, Moscow State University of Civil Engineering (National Research University (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.

Pages 182-187

The main aim of intelligent building as a system is constant adaptation to life cycle of inhabitants, preservation of dynamic equilibrium (homeostasis) of the building parameters corresponding to the preferences of the residents, energy efficiency and safety. Adaptation happens with the help of three additional groups of components if compared to common buildings. They form a system of “artificial” building intelligence: hardware, software, communication network. This article concerns integration of an intelligent building and a functional model. The usage of middleware for integration was substantiated. The following requirements to middleware were set: delivery to several recipients, low-latency, asynchronous delivery, messages prioritization, durability and configurable time to live, heterogeneous integration. Based on the conducted analysis, message-oriented middleware with publisher-subscriber and point-to-point models was selected. The authors proved that middleware is necessary for integration of the system of artifical intelligence of a building and a functional model. The most adaptable solution is today the use of middleware based on message passing.

DOI: 10.22227/1997-0935.2015.10.182-187

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SIMULATION OF QUEUING NETWORKS WITH A SEQUENCE OF CONNECTED NODES

Vestnik MGSU 10/2015
  • Anufriev Dmitriy Petrovich - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Candidate of Technical Sciences, Professor, Rector, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishcheva st., Astrakhan, 414056, Russian Federation.
  • Kholodov Artem Yur’evich - Astrakhan Institute of Civil Engineering (ACEI) Candidate of Technical Sciences, Associate Professor, Department of Physics and Mathematics, Information Technologies, Astrakhan Institute of Civil Engineering (ACEI), 18 Tatishcheva st., Astrakhan, 414056, Russian Federation.
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, Professor, Rector, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.

Pages 171-181

The authors have previously defined the queuing system with a bunker storage and an interval delay of service beginning and its simulation discrete-event model was implemented with setting adequacy introduced into system observation. In the present article the authors developed discrete-event and agent-based simulation models of queuing networks connected in series with the phases that are queuing systems (QS) with the bunker and the interval delay of service beginning. A comparative analysis of the developed simulation models is conducted. The dynamic structures allow the buffer transition possibility of transactions between phases and different disciplines of applications queues transmission using priority, including selfish based on stochastic approaches. Using the Fishman-Kiviat criterion the authors set the adequacy of logical operation of the developed model. It is also important to note, that agent models are characterized by decentralized behavior of applications in comparison to the centralized behavior of applications in discrete-event realizations. That’s why the choice of model type depends on the requirements to the business-process being simulated and the level of abstraction.

DOI: 10.22227/1997-0935.2015.10.171-181

References
  1. Anufriev D.P., Kholodov A.Yu. Imitatsionnaya model’ sistemy massovogo obsluzhivaniya s nakopitelem i interval’noy zaderzhkoy nachala obsluzhivaniya [Simulation Model of a Queuing System with Storage and Interval Delay of the Beginning of Service]. Perspektivy razvitiya stroitel’nogo kompleksa : materialy VII Mezhdunarodnoy nauchno-prakticheskoy konferentsii professorsko-prepodavatel’skogo sostava, molodykh uchenykh i studentov. 28—31 oktyabrya 2013 g. [Prospects for the Development of the Building Complex: Materials of the 7th International Scientific-Practical Conference of Academic Staff, Students and Young Scientists, October 28—31, 2013]. Astrakhan, GAOU AOO VPO «AISI» Publ., 2013, vol. 1, pp. 88—94. (In Russian)
  2. Anufriev D.P., Kholodov A.Yu. Statisticheskiy analiz imitatsionnykh eksperimentov modeli sistemy massovogo obsluzhivaniya s nakopitelem i interval’noy zaderzhkoy nachala obsluzhivaniya [Statistical Analysis of Simulations of Queuing System Models with Bunker Storage and Interval Delay of the Inception of Service]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 10, pp. 197—211. (In Russian)
  3. Anufriev D.P. Matematicheskaya model’ regional’nogo stroitel’nogo kompleksa [Mathematical Model of Regional Building Complex]. Astrakhan’ — dom budushchego: Tezisy 2 Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Astrakhan — Home of the Future. Proceedings of the 2nd International Scientific and Practical Conference]. Astrakhan, 2010, Sorokin Roman Vasil’evich Publ., pp. 58—73. (In Russian)
  4. Anufriev D.P. Upravlenie stroitel’nym kompleksom kak sotsial’no-ekonomicheskoy sistemoy: postanovka problemy [Managing the Building Complex as a Social and Economic System: Problem Statement]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and Civil Engineering]. 2012, no. 8, pp. 8—10. (In Russian)
  5. Kholodov A.Yu. Imitatsionnaya model’ finansovykh vzaimootnosheniy uchastnikov dolevogo stroitel’stva [Simulation Model of Financial Relations between the Participants of Shared Construction]. Imitatsionnoe modelirovanie. Teoriya i praktika : sbornik dokladov 5 Vserossiyskoy nauchno-prakticheskoy konferentsii IMMOD-2011 [Simulation. Theory and Practice: Proceedings of the 5th All-Russian Scientific-Practical Conference IMMOD 2011]. Saint Petersburg, OAO «TsTSS» Publ., 2011, vol. 2, pp. 300—302. (In Russian)
  6. Kholodov A.Yu., Anufriev D.P. Imitatsionnoe modelirovanie finansovykh vzaimootnosheniy uchastnikov dolevogo stroitel’stva i otsenki riskov stroitel’nykh organizatsiy pri kompleksnoy zastroyke [Simulation Modeling of Financial Relationships in Participatory Construction and Risk Assessment of Construction Companies in the Process of Complex Building]. Trudy Vserossiyskoy nauchno-prakticheskoy konferentsii po imitatsionnomu modelirovaniyu sotsial’no-ekonomicheskikh sistem (VKIMSES) 15 maya 2012 goda [Works of the International Scientific and Practical Conference on Simulation of Socio-Economic Systems (VKIMSES), 15 May, 2012]. Moscow, OOO «Print-Servis» Publ., 2012, pp. 120—124. (In Russian)
  7. Konheim A.G., Reiser M. A Queueing Model with Finite Waiting Room and Blocking. J. Assoc. Comput. Mach. 1976, vol. 23, no. 2, pp. 328—341. DOI: http://dx.doi.org/10.1145/321941.321952.
  8. Kuehn P. Approximate Analysis of General Queuing Networks by Decomposition. IEEE Transact. on Communications. 1979, vol. 27, no. 1, pp. 113—126. DOI: http://dx.doi.org/10.1109/TCOM.1979.1094270.
  9. Henderson W., Taylor P.G. Some New Results on Queueing Networks with Batch Movement. Journal of Applied Probability. 1991, vol. 28, no. 2, pp. 409—421. DOI: http://dx.doi. org/10.2307/3214876.
  10. Henderson W. Queueing Networks with Negative Customers and Negative Queue Lengths. Journal of Applied Probability. 1993, vol. 30, no. 4, pp. 931—942. DOI: http://dx.doi.org/10.2307/3214523.
  11. Bronshtein O. and Gertsbakh I. An Open Exponential Queueing Network with Limited Waiting Spaces and Losses: A Method of Approximate Analysis. Performance Evaluation. 1984, vol. 4 (1), pp. 31—43. DOI: http://dx.doi.org/10.1016/0166-5316(84)90024-5.
  12. Zacks S. Theory of Statistical Inference. John Wiley & Sons Inc; First Edition edition, 626 p.
  13. Shannon R. Systems Simulation: The Art and Science. Prentice Hall, 368 p.
  14. Economou A., Fakinos D. Product Form Stationary Distributions for Queueing Networks with Blocking and Rerouting. Queueing Sistems: Theory Appl. 1998, vol. 30, no. 3/4, pp. 251—260. DOI: http://dx.doi.org/10.1023/A:1019117121530.
  15. Williams R.J. Diffusion Approximations for Open Multiclass Queueing Networks: Sufficient Conditions Involving State Space Collapse. Queueing Systems: Theory Appl. 1998, vol. 30, no. 1/2, pp. 27—88. DOI: http://dx.doi.org/10.1023/A:1019108819713.
  16. Kelly F.P. Networks of Queues. Advances in Applied Probability. 1976, vol. 8, no. 2, pp. 416—432. DOI: http://dx.doi.org/10.2307/1425912.
  17. Baskett F., Chandy K.M., Muntz R.R. and Palacios F.G. Open, Closed, and Mixed Networks of Queues with Different Classes of Customers. J. of ACM. 1975, vol. 22, no. 2, pp. 248—260. DOI: http://dx.doi.org/10.1145/321879.321887.

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Valuation of organizational and technological capacity of a building project formed on the basis of information flows

Vestnik MGSU 11/2015
  • Lapidus Azariy Abramovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Professor, Doctor of Technical Sciences, chair, Department of Technology and Management of the Construction, Honored Builder of the Russian Federation, Recipient of the Prize of the Russian Federation Government in the field of Science and Technology, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Fel’dman Aleksandr Olegovich - Moscow State University of Civil Engineering (National Research University) (MGSU) postgraduate student, Department of Technology and Management of the Construction, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 193-201

At the modern stage of construction branch development there is a current task of forming the indicator, the application of which will allow forecasting the final indicator of a construction project depending on organizational-technological and management solutions influencing it - the organizational and technological capacity of a construction project. The construction project capacity, which has been actively investigated in the recent years, is formed on the basis of account for the processes directly or tangentially related to production and technological specifics of the construction industry on all the stages of project development: design solutions, preparation of a construction site, general construction and finishing works, special works (building water supply and water disposal systems, technological equipment, electric wiring and low currents, ventilation, conditioning and fire security, elevators), external supply lines, amenities. The introduction of organizational-technological capacity concept of a building project in the form of a numerical integral value is given in the article, allowing to make relevant management decisions at any step of the construction project. The article deals with the essence of information flows as an important component in the construction project evaluation. The authors discuss the separation of information flows into groups, depending on different criteria. As a result, the mathematical model is offered, which gives the construction project potential evaluation with taking into account the impact of information flows.

DOI: 10.22227/1997-0935.2015.11.193-201

References
  1. Lapidus A.A., Demidov L.P. Issledovanie faktorov, vliyayushchikh na pokazatel’ potentsiala stroitel’noy ploshchadki [Investigation of the Factors Influencing the Potential Indicator of a Construction Site]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 4, pp. 160—166. (In Russian)
  2. Maksimov A.A. Struktura informatsionnykh potokov sovremennogo promyshlennogo predpriyatiya [Structure of Informational Flows of a Contemporary Industrial Enterprise]. Informatsionnye resursy Rossii [Informational Resources of Russia]. 2005, no. 5. Available at: http://www.aselibrary.ru/datadocs/doc_316gi.pdf. (In Russian)
  3. Arnorsson H. Optimizing the Information Flow on the Construction Site. Master’s Thesis, Aalborg University, 2012, pp. 76—79.
  4. Minko I.S., Kryakov P.N. Organizatsiya informatsionnykh potokov v innovatsionnoy deyatel’nosti [Organization of Information Flows in Innovative Activity]. Nauchnyy zhurnal NIU ITMO. Seriya: Ekonomika i ekologicheskiy menedzhment [Scientific Journal NRU ITMO Series “Economics and Environmental Management”]. 2014, no. 1, article 51. (In Russian)
  5. Saydaev Kh.L.-A. Metodika vybora stroitel’noy kompanii v ramkakh organizatsii tendera na osnove rascheta kompleksnogo pokazatelya rezul’tativnosti [Methodology of Choosing a Construction Company for Tender on the Basis of Estimating Complex Efficiency Index]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2013, no. 10, pp. 266—271. (In Russian)
  6. Marugin V.M., Azgal’dov G.G. Kvalimetricheskaya ekspertiza stroitel’nykh ob”ektov [Qualimetric Inspection of Construction Objects]. Saint Petersburg, Politekhnika Publ., 2008, 527 p. (In Russian)
  7. Lapidus A.A., Govorukha P.A. Organizatsionno-tekhnologicheskiy potentsial ograzhdayushchikh konstruktsiy mnogoetazhnykh zhilykh zdaniy [Organizational and Technological Potential of Enveloping Structures of Multi-Storeyed Residential Buildings]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2015, no. 4, pp. 143—149. (In Russian)
  8. Lapidus A.A. Instrument operativnogo upravleniya proizvodstvom — integral’nyy potentsial effektivnosti organizatsionno-tekhnologicheskikh i upravlencheskikh resheniy stroitel’nogo ob”ekta [Tools of Production Scheduling — an Integral Efficiency Potential of Organizational, Technological and Management Solutions of a Construction Object]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2015, no. 1, pp. 97—102. (In Russian)
  9. Fel’dman A.O. Optimizatsiya organizatsionno-tekhnologicheskogo potentsiala stroitel’nogo proekta formiruemogo na osnove informatsionnykh potokov [Optimization of Organizational-Technological [Optimization of Organizational-Technological Capacity of a Construction Project Formed Basing on Informational Flows]. Tekhnologiya i organizatsiya stroitel’nogo proizvodstva [Technology and Organization of Construction Production]. 2014—2015, no. 4/no. 1 (9), pp. 52—53. (In Russian)
  10. Berezhnyy A.Yu. Formirovanie informatsionnoy bazy dannykh dlya sistemy otsenki ekologicheskoy effektivnosti organizatsionno-tekhnologicheskikh resheniy v protsesse stroitel’nogo proizvodstva [Formation of Informational Database for Evaluation System of Ecological Efficiency of Organizational and Technological Solutions in the Process of Construction Production]. Tekhnicheskoe regulirovanie. Stroitel’stvo, proektirovanie i izyskaniya [Technical Regulation. Construction, Design and Research]. 2012, no. 1, pp. 42—43. (In Russian)
  11. Kononykhin B.D., Potapenko A.I. Novoe napravlenie v sozdanii sredstv informatsionnogo obespecheniya v stroitel’stve [New Trend in Creation of Information Support Means in the Construction]. Mekhanizatsiya stroitel’stva [Mechanization of the Construction]. 2006, no. 9, pp. 17—18. (In Russian)
  12. Bokova O.V. Sovremennye trebovaniya k informatsionnym sistemam obespecheniya ustoychivoy deyatel’nosti stroitel’nogo predpriyatiya [Modern Requirements to Information Systems of Providing Stable Operation of a Construction Enterprise]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and Civil Engineering]. 2007, no. 10, p. 32. (In Russian)
  13. Sergeev V.I. Korporativnaya logistika — upravlenie zapasami [Corporative Logistics — Materials Management]. Moscow, INFRA-M Publ., 2005, p. 150. (In Russian)
  14. Fursov I.G. Upravlenie informatsiey — vazhneyshiy biznes-resurs sovremennogo predpriyatiya [Information Management — the Most Important Business-resourse of a Modern Enterprise]. Stroitel’nye materialy, oborudovanie, tekhnologii XXI veka [Construction Materials, Equipment, Technologies of the 21st Century]. 2005, no. 1, pp. 56—57. (In Russian)
  15. Magomedov M.Yu., Khalimbekov Kh. Osnovnye printsipy postroeniya informatsionnoy sistemy upravleniya stroitel’nogo predpriyatiya [Main Principles of Information System Creation of a Construction Enterprise Management]. Ekonomika stroitel’stva [Construction Economy]. 2005, no. 4, pp. 13—22. (In Russian)
  16. Maslova I.A. Organizatsiya vzaimodeystviya programmnogo obespecheniya na stroitel’nom predpriyatii [Organizing the Interaction of Software in a Construction Enterprise]. Stroitel’stvo: nalogooblozhenie, bukhuchet [Construction: Taxation, Accounting]. 2007, no. 1, pp. 27—32. (In Russian)
  17. Bessonov A.K., Verstina N.G., Kulakov Yu.N. Innovatsionnyy potentsial stroitel’nykh predpriyatiy: formirovanie i ispol’zovanie v protsesse innovatsionnogo razvitiya [Innovational Potential of Construction Companies: Formation and Use in the Process of Innovational Development]. Moscow, ASV Publ., 2009, 166 p. (In Russian)
  18. Kotlyarov I.D. Klassifikatsiya veb-predstavitel’stv po stepeni avtomatizatsii obrabotki informatsionnykh potokov [Classification of Web-Representatives According to the Degree of Automation of Information Flows Processing]. Informatsionnye resursy Rossii [Informational Resources of Russia]. 2012, no. 5, pp. 18—21. (In Russian)
  19. Menyaev M.F. Informatsionnye potoki v sisteme upravleniya [Information Flows in Management System]. Nauka i obrazovanie [Science and Education]. 2011, no. 5, pp. 1—4. (In Russian)
  20. Merzlyak A.V. Strukturizatsiya informatsionnykh potokov dlya sovershenstvovaniya upravleniya logisticheskimi sistemami [Structuring of Information Flows for Improvement of Logistic Systems Management]. Sotsial’no-ekonomicheskie problemy modernizatsii sovremennogo obshchestva : kollektivnaya monografiya [Social and Economic Problems of Modern Society Modernization : Multi-authored Monograph]. Saint Petersburg, NPK «ROST» Publ., 2011, pp. 611—617. (In Russian)

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Algorithm of restoring unambiguity in the system of distance emergency alerts from persons with disabilities

Vestnik MGSU 11/2015
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, corresponding member of Russian Academy of Architectural and Construction Sciences, Professor, Department of Information Systems, Technologies and automation in Construction, Rector, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Antonov Sergey Vladimirovich - State Fire Academy of the Ministry of the Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters (SFA of Emercom of Russia) Senior Lecturer, Department of Special Electrical Engineering of Automated Systems and Communications, State Fire Academy of the Ministry of the Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters (SFA of Emercom of Russia), 4 Borisа Galushkina str., Moscow, 129339, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 186-192

Usually a message on fire or other emergency is sent to operations control by a witness. The situation causes stress. That’s why it may be difficult to understand the meaning of the witness’s text message because of pressing adjacent letters or T9 mistakes. So an operator may take such a message for spam and may not react adequately. Though if the system of “Smart House” is equipped with the module of processing Messages-112, the problem will be solved. The article analyzes the way of processing the messages to Messages-112 from persons with disabilities in the system of “Smart House”. The authors offer a variant of recovering unambiguity of notion sense from messages with errors of T9 and possible accidental pressing of adjacent letters. The system looks for key words, reduces noise, chooses the target rescue services and redirects the message to them.

DOI: 10.22227/1997-0935.2015.11.186-192

References
  1. Volkov A.A., Batov E.I. Promezhutochnoe programmnoe obespechenie v funktsional’-noy modeli intellektual’nogo zdaniya [Middleware for Functional Modeling of Intelligent Buildings]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2015, no. 10, pp. 182—187. (In Russian)
  2. Volkov A.A., Batov E.I. Sistemotekhnika funktsional’nogo modelirovaniya intellektual’nykh zdaniy [System Engineering of Functional Modeling of Intelligent Buildings]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2015, no. 10, pp. 188—193. (In Russian)
  3. Antonov S.V. Opredelenie klyuchevykh slov dlya dezhurno-dispetcherskikh sluzhb Sistemy-112 [Identification of the Key Words for Duty and Dispatch Services of the System-112]. Pozhary i chrezvychaynye situatsii: predotvrashchenie, likvidatsiya [Fire and Emergencies: Prevention, Elimination]. 2014, no. 2, pp. 29—34. (In Russian)
  4. Antonov S.V. Tsentry obsluzhivaniya vyzovov, postupayushchikh po liniyam spetsial’noy svyazi «01» [Call Centers for the lines of Specialized Communication “01”]. Sistemy bezopasnosti — 2012 : мaterialy dvadtsat’ pervoy nauchno-tekhnicheskoy konferentsii [Safety Systems — 2012 : Proceedings of the Twenty First Scientific-Technical Conference]. Moscow, Akademiya GPS MChS Rossii Publ., 2012, pp. 223—226. (In Russian)
  5. Antonov S.V. Algoritm obrabotki potoka tekstovykh soobshcheniy, postupayushchikh na nomer 112 [Processing Algorithm of the Stream of Text Messages Sent to the Number 112]. Sistemy bezopasnosti — 2013 : materialy dvadtsat’ vtoroy mezhdunarodnoy nauchno-tekhnicheskoy konferentsii [Safety Systems — 2013 : Proceedings of the Twenty Second International Scientific-Technical Conference]. Moscow, Akademiya GPS MChS Rossii Publ., 2013, pp. 49—54. (In Russian)
  6. Volkov A.A. Kompleksnaya bezopasnost’ uslovno-abstraktnykh ob”ektov (zdaniy i sooruzheniy) v usloviyakh chrezvychaynykh situatsiy [Integrated Safety of conditionally abstract objects (buildings and structures) in emergency situations]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2007, no. 3, pp. 30—35. (In Russian)
  7. Volkov A.A. Osnovy gomeostatiki zdaniy i sooruzheniy [Fundamentals of Homeostatic Buildings and Structures]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and civil Engineering]. 2002, no. 1, p. 34. (In Russian)
  8. Volkov A.A. Sistemy aktivnoy bezopasnosti stroitel’nykh ob”ektov [Active Safety Systems of Construction Sites]. Zhilishchnoe stroitel’stvo [House Construction]. 2000, no. 7, p. 13. (In Russian)
  9. Volkov A.A., Antonov S.V. Elementy avtomatizatsii distantsionnogo opoveshcheniya o chrezvychaynykh situatsiyakh ot lits s ogranichennymi vozmozhnostyami [Elements of Automation of Distance Emergency Alerts from Persons with Disabilities]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2015, no. 11, pp. 120—129. (In Russian)
  10. Volkov A.A. Gomeostaticheskoe upravlenie zdaniyami [Homeostatic Management of Buildings]. Zhilishchnoe stroitel’stvo [House Construction]. 2003, no. 4, pp. 9—10. (In Russian)
  11. Volkov A.A. Intellekt zdaniy. Chast’ 1 [Intelligence of Buildings. Part 1]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2008, no. 4, pp. 186—190. (In Russian)

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Design of information-measuring and control systems for intelligent buildings. Trends of development

Vestnik MGSU 12/2015
  • Petrova Irina Yur’evna - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Doctor of Technical Sciences, Professor, First Vice-Rector, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.
  • Zaripova Viktoriya Madiyarovna - Astrakhan Institute of Civil Engineering (AICE) Candidate of Technical Sciences, Associate Professor, Department of Computer Aided Design, Astrakhan Institute of Civil Engineering (AICE), 18 Tatishcheva str., Astrakhan, 414056, Russian Federation.
  • Lezhnina Yuliya Arkad’evna - Astrakhan Institute of Civil Engineering (AICE) Candidate of Technical Sciences, Associate Professor, Department of Computer Aided Design, Astrakhan Institute of Civil Engineering (AICE), 18 Tatishcheva str., Astrakhan, 414056, Russian Federation.

Pages 147-159

The article considers the modern requirements for integrated management systems of a smart home. The authors propose a hierarchical classification of the levels of house automation, which allows allocating different levels of information transfer. The article considers the trends of development of information-measuring and control systems of intelligent buildings. The generalized scheme of information-measuring and control subsystems of an intelligent building are given. The energy-information model of the knowledge base of physical and technical effects described in the article allows developing a system of automated support of the conceptual stage of elements design in information measuring and control systems. With the help of this knowledge base the system allows dozens of times expanding the scope of knowledge actively used by specialists and two or three times reducing the time of creating new solutions by selecting the most efficient of the options and the underlying calculation of the essential characteristics of their conceptual models, which significantly reduces the number of created prototypes and field tests.

DOI: 10.22227/1997-0935.2015.12.147-159

References
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  4. Aldrich Frances K. Smart Homes: Past Present, and Future. Inside the Smart Home (ed. Richard Harper). N.P. London, Springer, 2003.
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  21. Zaripova V., Petrova I. System of Conceptual Design Based on Energy-Informational Model. Progress in Systems Engineering, Proceedings of the 23rd International Conference on Systems Engineering, August, 2014, Las Vegas, NV, Series: Advances in Intelligent Systems and Computing. 2014, vol. 330, pp. 365—373. DOI: http://dx.doi.org/10.1007/978-3-319-08422-0_54.
  22. Zaripova V.M., Petrova I.Yu. Ontological Knowledge Base of Physical and Technical Effects for Conceptual Design of Sensors. Journal of Physics: Conference. Series 588. 2015, vol. 588, issue 1, article id. 012031, pp. 1—6. DOI: http://dx.doi.org/10.1088/1742-6596/588/1/012031.
  23. Zaripova V.M., Petrova I.Yu., Lezhnina Yu.A., Faber E.N. Ontologicheskaya baza znaniy po fiziko-tekhnicheskim effektam dlya avtomatizatsii tekhnologicheskikh protsessov [Ontological Knowledge Base of Physical and Technical Effects for the Automation of Technological Processes]. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Upravlenie, vychislitel’naya tekhnika i informatika [Bulletin of the Astrakhan State Technical University. Series: Management, Computer Engineering, Computer Science]. 2015, no. 4, pp. 47—56. (In Russian)

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Optimizing transport logistics taking into account the state of roads and road traffic

Vestnik MGSU 12/2015
  • Shikul’skaya Ol’ga Mikhaylovna - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Doctor of Technical Science, Professor, Department Chair, Fire Safety and Water Use Department, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.
  • Esmagambetov Timur Ulykmanovich - Astrakhan State University (ASU) postgraduate student, Department of Information Technologies, Astrakhan State University (ASU), 20a Tatishcheva str., Astrakhan, 414056, Russian Federation.

Pages 160-173

The choice and use of rational routes at strict observance of deliveries terms help to achieve not only minimization of operational expenses, but also to reduce commodity and production stocks in warehouses by 1,5...2 times. Therefore special relevance is gained by the works allowing precisely calculating the volumes of a cargo transportation, to count the quantity of transport units necessary for providing cargo flow, to define the rational routes of transportation, and also to reduce total costs of transportation. On the basis of the analysis of the known mathematical methods applied in transport logistics, the authors drew a conclusion that the route of freight delivery is estimated according to the distance passed by the vehicle. However the time of freight delivery depends not only on distance, but also on a set of other factors, such as vehicle type, road capacity, intensity of transport stream, weather conditions, season and others. For taking note of additional factors when optimizing a freight delivery route the method of analogy and similarity is used by the authors. The transportation parameters were estimated by analogy with an electric chain. For this purpose the authors entered the new concepts “fictitious distance” and “conductivity of the road”. The mathematical model allowing optimizing the organization of freight delivery taking into account not only distances, but also the probable speed of the vehicle movement depending on the road quality, intensity of transport stream and weather conditions is developed. Further development of the system of decision-making support while choosing the optimum route of cargo delivery is planned.

DOI: 10.22227/1997-0935.2015.12.160-173

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Constantly operating geoinformation system for geoenvironment as a tool for pre-project investigations in city infrastructure development (on the example of moscow)

Vestnik MGSU 2/2016
  • Osipov Viktor Ivanovich - Sergeev Institute of Environmental Geoscience of the Russian Academy of Sciences (IEG RAS) Doctor of Geologo-Mineralogical Sciences, Professor, academician, scientific supervisor, Sergeev Institute of Environmental Geoscience of the Russian Academy of Sciences (IEG RAS), 13-2 Ulanskiy pereulok, Moscow, 101000, Russian Federation, P.O.B. 145; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Mironov Oleg Konstantinovich - Sergeev Institute of Environmental Geoscience of the Russian Academy of Sciences (IEG RAS) Candidate of Physical and Mathematical Sciences, head, Laboratory of Geoinformatics and Computer Mapping, Sergeev Institute of Environmental Geoscience of the Russian Academy of Sciences (IEG RAS), 13-2 Ulanskiy pereulok, Moscow, 101000, Russian Federation, P.O.B. 145; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Belyaev Valeriy L’vovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, Associate Professor, Department of Building Design and Urban Development, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoye Shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 159-172

The concept of a geoinformation system for urban geoenvironment is concerned. Geological data is necessary for the sustainable development of city infrastructure. The municipal departments should use geological and environmental information for perspective planning, selecting the location for important infrastructure objects, solving ecologycal problems, and in decision making. The concept includes a preliminary list of system’s users, their informational needs, main functionalities, methodical approaches to the system design and development. Geological data must contain source documents from geological archives “as is” and geodata based on its interpretation for various tasks. These data must be checked carefully and updated with new engineering-geological investigations. Geoinformation system must integrate various geological, engineering-geological, hydrogeological, and environmental data. Sophisticated procedures must be provided to check complicated logical dependences in the system database and to analyze contradictions between source documents. 3D modeling is an adequate language for presenting geological data, therefore, the considered system must include 3D models of various scales. In the suggested concept 3D modeling is considered as a tool for investigations, not only for presentations. The end users should have possibilities to get results of their queries in various formats: tables, geological and thematic maps, geological cross-sections, 2D and 3D grids as source data for mathematical modeling, etc. In conclusion, the paper briefly describes IEG RAS activities in GIS technologies for geological cartography and 3D modeling.

DOI: 10.22227/1997-0935.2016.2.159-172

References
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  5. Postanovlenie Pravitel’stva Rossiyskoy Federatsii ot 09.06.2014 № 534 «O vnesenii izmeneniy v Polozhenie o vypolnenii inzhenernykh izyskaniy dlya podgotovki proektnoy dokumentatsii, stroitel’stva, rekonstruktsii, kapital’nogo remonta ob”ektov kapital’nogo stroitel’stva» [Decree of the Government of the Russian Federation dated 09.06.2014 No. 534 “On Modification in Regulations about Carrying Out Engineering Studies for the Preparation of Project Documentation, Construction, Reconstruction, Overhaul”]. Dokipediya. Available at: http://dokipedia.ru/document/5179981. Date of access: 29.11.2015. (In Russian)
  6. Osipov V.I., Antipov A.V. Printsipy inzhenerno-geologicheskogo rayonirovaniya territorii Moskvy [Principles of Engineering-Geological Zoning of Moscow]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2009, no. 1, pp. 3—13. (In Russian)
  7. Antipov A.V., Koshkarev A.V., Potapov B.V., Filippov N.V. Edinoe geoinformatsionnoe prostranstvo goroda Moskvy kak sostavnaya chast’ infrastruktury prostranstvennykh dannykh Rossiyskoy Federatsii. Chast’ 1 [Unified Geoinnformation Space of the Moscow City as a Part of Spatial Data Infrastructure of the Russian Federation. Part 1]. Moscow, OOO Izdatel’stvo Prospekt Publ., 2013, 222 p. (In Russian)
  8. Alpatov S.N., Belyaev V.L., Lomakin E.A. Razvitie gorodskogo podzemnogo prostranstva — put’ ot dorozhnoy karty k proektnym resheniyam [City Underground Development —a Way from the Road Map to Project Design]. Rossiyskiy opyt stroitel’stva metropolitena v g. Moskve. Tendentsii. Problemy. Perspektivy : sbornik trudov Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii (15 oktyabrya 2014 g.) [Russian Experience of Metro Construction in Moscow. Tendencies. Problems. Prospects : Collection of Works of the International Science and Technical Conference (October 15, 2014)]. Moscow, 2014, pp. 7—14. (In Russian)
  9. Belyaev V. 3D Models as Vista Information Management Governance in the Field of Development of Underground Space in Cities. Applied Mechanics and Materials. Jul. 2014, vols. 580—583, pp. 3227—3230.
  10. Sepúlveda S.A., Rebolledo S., Bórquez X., Prieto J., Muñoz J.A. Geohazard Studies for Urban Planning in the Santiago Metropolitan Region, Chile: Some Lessons for Future Interactions Between Engineering Geoscientists and Urban Planners in Developing Countries. Engineering Geology for Society and Territory — Vol. 5. Urban Geology, Sustainable Planning and Landscape Exploitation : Proceedings of IAEG 2014 Congress. Springer, 2015, pp. 327—330. DOI: http://www.doi.org/10.1007/978-3-319-09048-1_62.
  11. Marker B. Communication of Geological Information in Planning of Urban Areas. Engineering Geology for Society and Territory — Vol. 5. Urban Geology, Sustainable Planning and Landscape Exploitation : Proceedings of IAEG 2014 Congress. Springer, 2015, pp. 335—338. DOI: http://www.doi.org/10.1007/978-3-319-09048-1_64.
  12. Jackson L.E.Jr., Ellerbeck M., Carmona F.M. The COMCOM Process: Informing and Transforming Communities in the Developing World through Geotechnical Information. Engineering Geology for Society and Territory — Vol. 5. Urban Geology, Sustainable Planning and Landscape Exploitation : Proceedings of IAEG 2014 Congress. Springer, 2015, pp. 355—358. DOI: http://www.doi.org/10.1007/978-3-319-09048-1_68.
  13. De Mulder E.F.J. Communicating Applied Geoscientific Expertise to Rural and Urban Planners: Some Lessons Learned. Engineering Geology for Society and Territory — Vol. 5. Urban Geology, Sustainable Planning and Landscape Exploitation : Proceedings of IAEG 2014 Congress. Springer, 2015, pp. 345—349. DOI: http://www.doi.org/10.1007/978-3-319-09048-1_66.
  14. Royse K.R., Bricker S.H., Jackson C.R., Kingdon A., Hughes A.G. The Development of Linked Databases and Environmental Modelling Systems for Decision-Making in London. Engineering Geology for Society and Territory — Vol. 5. Urban Geology, Sustainable Planning and Landscape Exploitation : Proceedings of IAEG 2014 Congress. Springer, 2015, pp. 1195—1199. DOI: http://www.doi.org/10.1007/978-3-319-09048-1_228.
  15. Otraslevoy uzel Edinogo geoinformatsionnogo prostranstva goroda Moskvy // Komitet po arkhitekture i gradostroitel’stvu goroda Moskvy [Industrial Site of a United Geo-Information Space of Moscow]. Available at: http://www.http://egip.mka.mos.ru/egip/egip.nsf. Date of access: 29.11.2015. (In Russian)
  16. Mironov O.K. O kontseptsii bazy znaniy v fondakh geologicheskoy informatsii [On the Concept of Knowledge Database for a Geological Archive]. Sergeevskie chteniya [Sergeevskie Readings]. No. 16. Razvitie idey akademika E.M. Sergeeva na sovremennom etape [Development of the Ideas of an Academitian Sergeev E.M. on the Modern Stage]. Moscow, RUDN Publ., 2014, pp. 595—599. (In Russian)
  17. Mironov O.K., Pikulik E.A., Fesel’ K.I. O ponyatii trekhmernoy geologicheskoy karty [On the Concept of a 3-Dimensional Geological Map]. Geodeziya i kartografiya [Geodesy and cartography]. 2011, no. 6, pp. 36—41. (In Russian)
  18. Osipov V.I., Kutepov V.M., Anisimova N.G., Kozhevnikova I.A., Kozlyakova I.V. Rayonirovanie geologicheskoy sredy goroda Moskvy dlya tseley stroitel’stva ob”ektov s zaglublennymi osnovaniyami [Zoning of Moscow Geonvironment for Building of Objects with Deep Fundaments]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2011, no. 3, pp. 227—237. (In Russian)
  19. Mironov O.K. Geoinformatsionnye tekhnologii dlya sostavleniya krupnomasshtabnykh geologicheskikh kart territorii Moskvy [Geoinformation Technologies for Large-Scale Geological Mapping of Moscow]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2011, no. 3, pp. 198—214. (In Russian)
  20. Kutepov V.M., Anisimova N.G., Eremina O.N., Kozhevnikova I.A., Kozlyakova I.V. Karta dochetvertichnykh otlozheniy kak osnova krupnomasshtabnogo geologicheskogo kartirovaniya territorii g. Moskvy [Geological Map of Pre-Quaternary Deposits as the Basis for Large-Scale Geological Mapping of Moscow]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2011, no. 5, pp. 399—410. (In Russian)
  21. Osipov V.I., Burova V.N., Zaikanov V.G., Molodykh I.I., Pyrchenko V.A., Savis’ko I.S. Karta krupnomasshtabnogo (detal’nogo) inzhenerno-geologicheskogo rayonirovaniya territorii g. Moskvy [Large-Scale Engineering-Geological Zoning Map of Moscow]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2011, no. 4, pp. 306—318. (In Russian)
  22. Kutepov V.M., Kozlyakova I.V., Anisimova N.G., Eremina O.N., Kozhevnikova I.A. Otsenka karstovoy i karstovo-suffozionnoy opasnosti v proekte krupnomasshtabnogo geologicheskogo kartirovaniya g. Moskvy [Karst and Karst-Suffosion Hazard Estimation in the Project of Large-Scale Geological Mapping of Moscow]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2011, no. 3, pp. 215—226. (In Russian)
  23. Sevost’yanov V.V., Mindel’ I.G., Trifonov B.A., Ragozin N.A., Shpektorova O.A. Seysmicheskoe mikrorayonirovanie territorii g. Moskvy dlya vysotnogo stroitel’stva [Seismic Microzoning of Moscow Territory for High-Rise Construction]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2011, no. 4, pp. 319—327. (In Russian)
  24. Pozdnyakova I.A., Galitskaya I.V., Mironov O.K., Kostikova I.A., Dorozhko A.L., Batrak G.I., Matveeva L.A., Fesel’ K.I. Vyyavlenie gidrogeologicheskikh okon na osnove krupnomasshtabnogo kartirovaniya geologicheskogo stroeniya i gidrogeologicheskikh usloviy territorii g. Moskvy [Detection of Hydrogeological Windows Based on Large-Scale Geological and Hydrogeological Mapping of Moscow]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2015, no. 4, pp. 352—364. (In Russian)
  25. Mironov O.K., Viktorov A.A., Fesel’ K.I. O problemakh vedeniya baz dannykh fondovoy informatsii [On the Problems of Maintenaning Geological Archive Databases]. Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya [Environmental Geoscience: Engineering Geology, Hydrogeology, Geocryology]. 2011, no. 5, pp. 455—464. (In Russian)

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INFORMATIONAL COMMUNICATION BETWEEN THE PARTICIPANTS OF A CONSTRUCTION PROJECT AS AN ADDITIONAL FACTOR IN EVALUATING THE ORGANIZATIONAL AND TECHNOLOGICAL CAPACITY

Vestnik MGSU 6/2016
  • Lapidus Azariy Abramovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Professor, Doctor of Technical Sciences, chair, Department of Technology and Management of the Construction, Honored Builder of the Russian Federation, Recipient of the Prize of the Russian Federation Government in the field of Science and Technology, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Fel’dman Aleksandr Olegovich - Moscow State University of Civil Engineering (National Research University) (MGSU) postgraduate student, Department of Technology and Management of the Construction, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 101-106

The current trends of dynamic implementation of new materials, equipment and organizational and technological solutions in the construction lead to increase of information volume. Although the great amount of information flows isn’t fixed in the final variant of design documentation or doesn’t reach the construction site as instructions. This problem is most pressing for major construction projects. The main reason for such a loss of information is inefficiency of data management. The article discusses the influence of the interaction between the participants of a construction project on the effectiveness of the use of information flows within the construction project. The article also indicates the justification of such influence for organizational and technological building project evaluation, which is formed on the basis of information flows. The basic components of the information flow and conditions of effective transfer to final recipient are given. The concept of the role of a participant of building project is introduced as social component of information flow transfer is.

DOI: 10.22227/1997-0935.2016.6.101-106

References
  1. Lapidus A.A., Demidov L.P. Issledovanie faktorov, vliyayushchikh na pokazatel’ potentsiala stroitel’noy ploshchadki [Investigation of the Factors Influencing the Potential Indicator of a Construction Site]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 4, pp. 160—166. (In Russian)
  2. Maksimov A.A. Struktura informatsionnykh potokov sovremennogo promyshlennogo predpriyatiya [Structure of Informational Flows of a Contemporary Industrial Enterprise]. Informatsionnye resursy Rossii [Informational Resources of Russia]. 2005, no. 5, p. 3. (In Russian)
  3. Minko I.S., Kryakov P.N. Organizatsiya informatsionnykh potokov v innovatsionnoy deyatel’nosti [Organization of Information Flows in Innovative Activity]. Nauchnyy zhurnal NIU ITMO. Seriya: Ekonomika i ekologicheskiy menedzhment [Scientific Journal NRU ITMO Series: Economics and Environmental Management]. 2014, no. 1, p. 50. (In Russian)
  4. Arnorsson H. Optimizing the Information Flow on the Construction Site. Master’s Thesis, Aalborg University, 2012, pp. 76—79.
  5. Berezhnyy A.Yu. Formirovanie informatsionnoy bazy dannykh dlya sistemy otsenki ekologicheskoy effektivnosti organizatsionno-tekhnologicheskikh resheniy v protsesse stroitel’nogo proizvodstva [Formation of Informational Database for Evaluation System of Ecological Efficiency of Organizational and Technological Solutions in the Process of Construction Production]. Tekhnicheskoe regulirovanie. Stroitel’stvo, proektirovanie i izyskaniya [Technical Regulation. Construction, Design and Research]. 2012, no. 1, pp. 42—43. (In Russian)
  6. Sergeev V.I. Korporativnaya logistika — upravlenie zapasami [Corporative Logistics —Materials Management]. Moscow, INFRA-M Publ., 2005, p. 150. (In Russian)
  7. Abouzar Golyani, Hoi-Yan Hon. Information Handling in Construction Projects. Master’s thesis. 2010:135, 51 p. Available at: http://publications.lib.chalmers.se/records/fulltext/127600.pdf.
  8. Andreas Floros Phelps. Managing Information Flow on Complex Projects. 2012, pp. 1—3. Available at: http://www.leanconstruction.org/media/docs/chapterpdf/nor-cal/2012-03-14-lci-nor-cal-meeting-phelps.pdf.
  9. Oleynik P.P., Brodskiy V.I. Osobennosti organizatsii stroitel’nogo proizvodstva pri rekonstruktsii zdaniy i sooruzheniy [Features of Construction Operations Management When Reconstructing Buildings and Structures]. Tekhnologiya i organizatsiya stroitel’nogo proizvodstva [Technology and Organization of Construction Operations]. 2013, no. 4 (5), pp. 40—45. (In Russian)
  10. Zhadanovskiy B.V. Tekhnicheskiy uroven’ proizvodstva opalubochnykh, armaturnykh i betonnykh rabot v otechestvennom stroitel’stve [Technical Level of Formworks, Reinforcement and Concrete Works in the Domestic Construction]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and Civil Engineering]. 2005, no. 10, pp. 17—19. (In Russian)
  11. Cherednichenko N.D. Modelirovanie stroitel’nogo protsessa na etape predproektnoy podgotovki stroitel’stva [Modeling of the Construction Process on the Pre-Design Stage of the Construction]. Inzhenernyy vestnik Dona [Engineering Journal of Don]. 2012, vol. 22, no. 4-1, article 174. Available at: http://www.ivdon.ru/ru/magazine/archive/n4p1y2012/1167. (In Russian)
  12. Ivanov V.A. Perekhod ot litsenzirovaniya k samoregulirovaniyu v stroitel’noy otrasli [Transfer from Licensing to Self-Regulation in the Construction Branch]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and Civil Engineering]. 2013, no. 3, pp. 3—5. (In Russian)
  13. Zhunin A.A. Metody sokrashcheniya trudozatrat i uluchsheniya kontrolya kachestva rabot pri vozvedenii energoeffektivnykh ograzhdayushchikh konstruktsiy [Methods of Reducing Labour Costs and Increasing the Quality Control when Constructing Energy Efficient Enveloping Structures]. Vestnik grazhdanskikh inzhenerov [Bulletin of Civil Engineers]. 2014, no. 3 (44), pp. 137—141. (In Russian)

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Software package to automate the design and production of translucent building structures made of pvc

Vestnik MGSU 8/2016
  • Petrova Irina Yur’evna - Astrakhan State University of Civil Engineering (ASUACE) Doctor of Technical Sciences, Professor, chair, Department of Design and Modeling Automation Systems, Astrakhan State University of Civil Engineering (ASUACE), 18 Tatishcheva str., Astrakhan, 414056, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Puchkova Anna Aleksandrovna - Astrakhan State University of Civil Engineering (ASUACE) postgraduate student, Department of Information Technologies, Astrakhan State University of Civil Engineering (ASUACE), 18 Tatishcheva str., Astrakhan, 414056, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 121-132

The article describes the features of the design and production of translucent building structures made of PVC. The analysis of the automation systems of this process currently existing on the market is carried out, their advantages and disadvantages are identified. Basing on this analysis, a set of requirements for automation systems for the design and production of translucent building structures made of PVC is formulated; the basic entities are involved in those business processes. The necessary functions for the main application and for dealers’ application are specified. The main application is based on technological platform 1C: Enterprise 8.2. The dealers’ module is .NET application and is developed with the use of Microsoft Visual Studio and Microsoft SQL Server because these software products have client versions free for end users (.NET Framework 4.0 Client Profile and Microsoft SQL Server 2008 Express). The features of the developed software complex implementation are described; the relevant charts are given. The scheme of system deployment and protocols of data exchange between 1C server, 1C client and dealer is presented. Also the functions supported by 1C module and .NET module are described. The article describes the content of class library developed for .NET module. The specification of integration of the two applications in a single software package is given. The features of the GUI organization are described; the corresponding screenshots are given. The possible ways of further development of the described software complex are presented and a conclusion about its competitiveness and expediency of new researches is made.

DOI: 10.22227/1997-0935.2016.8.121-132

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