INFORMATION SYSTEMS AND LOGISTICS IN CIVIL ENGINEERING

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
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