Improved algorithm for notifying the population about emergency situations caused by major fires
- Authors: Kuznetsov S.A.1, Butuzov S.Y.1
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Affiliations:
- Academy of the State Fire Service of the Ministry of Emergency Situations of Russian Federation
- Issue: Vol 12, No 4 (2025)
- Pages: 81-90
- Section: MANAGEMENT IN ORGANIZATIONAL SYSTEMS
- URL: https://ogarev-online.ru/2313-223X/article/view/380189
- DOI: https://doi.org/10.33693/2313-223X-2025-12-4-81-90
- EDN: https://elibrary.ru/FJCPEO
- ID: 380189
Cite item
Abstract
The article proposes an algorithm for alerting the population in case of fires using feedback via SMS and mapping services. The mechanism integrates distributed ledger technology and artificial intelligence to improve the accuracy, coverage and adaptability of the system. The article also develops a model that takes into account the distribution of population density during alerting in a given zone, as well as the optimal radius of the alert zone. The model is implemented in the form of software “Model of the effective radius of alerting in case of fire”. Results. The results obtained can be used to adjust the existing model of public notification in case of large fires, both natural and man-made. This work is intended for those who make managerial decisions and manage the forces and means of extinguishing fires.
About the authors
Sergey A. Kuznetsov
Academy of the State Fire Service of the Ministry of Emergency Situations of Russian Federation
Author for correspondence.
Email: nextnoname3@mail.ru
SPIN-code: 1917-8561
adjunct, Department of Information Technology, Part of the Educational and Scientific Complex of Automated Systems and Information Technologies
Russian Federation, MoscowStanislav Yu. Butuzov
Academy of the State Fire Service of the Ministry of Emergency Situations of Russian Federation
Email: butuzov_s_yu@mail.ru
ORCID iD: 0000-0003-0465-1903
SPIN-code: 4642-9955
Dr. Sci. (Eng.), Associate Professor, Professor, Department of Information Technology, Part of the Educational and Scientific Complex of Automated Systems and Information Technologies
Russian Federation, MoscowReferences
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