E3S Web Conf.
Volume 97, 2019XXII International Scientific Conference “Construction the Formation of Living Environment” (FORM-2019)
|Number of page(s)||11|
|Section||Safety in Construction|
|Published online||29 May 2019|
Algorithms for characteristics recognition of man-induced incidents based on safe city HSC
Moscow State University of Civil Engineering, Yaroslavskoye Shosse, 26, Moscow, 129337, Russia
2 Academy of State Fire service of EMERCOM of Russia. Boris Galushkin str., 4 Main Department of EMERCOM of Russia in Tyumen region
* Corresponding author: BarinovSV@mgsu.ru
Under the conditions created by the introduction of anti-Russian sanctions, the top priority is to ensure the well-being of citizens as the main state development indicator.
The volume of construction of industrial facilities is increasing under these conditions in Russia.
State authorities and local governments take measures to protect the population from natural and man-induces emergencies, as well as to reduce the risk of their occurrence within the Russian Federation.
In Russia, the concept of building and developing Safe City Hardware and Software Complex (HSC) is being implemented, which allows to monitor the condition of buildings, structures, to ensure the operation of message receiving and processing systems, emergency call systems, as well as other municipal services of various activities; monitoring, forecasting, notification and management systems of all types of risks and threats peculiar to a municipal corporation .
The authors have developed various algorithms to automate the processes.
Algorithm for characteristics recognition of man-induced incidents aimed to improve the accuracy of emergency identification when incomplete source information regarding the current situation is received, as well as the structure of an information decision-making support system while managing forces and means of emergency response based on SAFE CITY HSC.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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