graduate student from 01.01.2023 to 01.01.2026
Saint-Petersburg, St. Petersburg, Russian Federation
The article considers the problem of a normatively compatible accounting of the operational and algorithmic characteristics of a modular warning and evacuation management system based on Internet of Things (IoT) technology when calculating individual fire risk according to the methodology established by order of EMERCOM of Russia dated November 14 2022 № 1140 «On Approval of the Methodology for Determining Calculated Fire Risk values in Buildings, Structures and Firefighters compartments of various functional fire hazard classes». In the fire risk calculations, the values are set as constant values, whereas in real operation they change over time and depend on the condition of the equipment, network infrastructure and the behavior of the contingent. The main points of integration of the characteristics of the IoT system into the calculation are highlighted: the parameters of the evacuation start time (including the delay in notification and pre-evacuation actions), the probability of successful evacuation, and the probabilistic characteristics of the alert system performance. The coefficient of confirmed functional reliability of the SSE is introduced, which is formed according to the logs and the results of routine tests.; The structure of notification delays is being clarified, taking into account step-by-step and addressable notification; rules for the presentation of adaptive routing and human flow management, including cases of blocking paths by fire hazards, are being set. Additionally, the coefficient of adaptivity of the IoT system (0...1) and the time risk profile are proposed, which make it possible to link the calculation of the IoT with the dynamics of the situation and operating modes without changing the basic structure of the methodology. It is shown that the transition to probabilistic and statistical accounting of delays, reliability, and failure conditions increases the reproducibility of the fire risks assessment and the reasonableness of the choice of additional fire prevention measures.
fire risk, evacuation, Internet of Things, fire safety, notification, fire alarm system
1. Chistyakova A.A., Prus M.Yu. Podderzhka risk-orientirovannogo upravleniya pozharnoj bezopasnost'yu v zhilom sektore na osnove analiza struktury pozharnyh riskov // Tekhnologii tekhnosfernoj bezopasnosti. 2024. № 2 (104). S. 112–137. EDN GULAKE. DOI:https://doi.org/10.25257/TTS.2024.2.104.112-137
2. Sulejmenova R.D., Bolotina E.V. Ocenka pozharnyh riskov, metody rascheta i klyuchevye faktory, vliyayushchie na uroven' riska // Aktual'nye voprosy obespecheniya kompleksnoj bezopasnosti: materialy nacional'noj nauch.-prakt. konf. s mezhdunarodnym uchastiem, posvyashchennoj 35-letiyu MCHS Rossii i 95-letiyu Orenburgskogo GAU. Orenburg: Orenburgskij gosudarstvennyj agrarnyj universitet, 2025. S. 211–215. EDN AWVIRP.
3. Mel'nikov G.O., Sineshchuk Yu.I. Sovremennye podhody k evakuacii iz zdanij: rol' IoT i 5G tekhnologij // Servis bezopasnosti v Rossii: opyt, problemy, perspektivy: materialy Mezhdunar. foruma. SPb.: Sankt-Peterb. un-t GPS MCHS Rossii, 2024. S. 74–78. EDN JEXLPC.
4. Budykina T.A., Lyashenko S.M., Fedotov S.B. Ocenka pozharnoj opasnosti ob"ekta obrazovaniya na osnove termicheskogo analiza i opredeleniya raschetnyh velichin pozharnogo riska // Nauchnye i obrazovatel'nye problemy grazhdanskoj zashchity. 2023. № 2 (57). S. 26–38. EDN IEYXZX.
5. Kochnov O.V. Ocenka effektivnosti rechevyh sistem opoveshcheniya i upravleniya evakuaciej lyudej pri pozhare. Kazan': OOO «Buk», 2025. 250 s. EDN LFXZJD.
6. Pozhary i pozharnaya bezopasnost' v 2024 g. Statistika pozharov i ih posledstvij: inform.-analit. sb. Balashiha: FGBU VNIIPO MCHS Rossii, 2025. 112 s.
7. Ob utverzhdenii metodiki opredeleniya raschetnyh velichin pozharnogo riska v zdaniyah, sooruzheniyah i pozharnyh otsekah razlichnyh klassov funkcional'noj pozharnoj opasnosti: prikaz MCHS Rossii ot 21 sent. 2021 g. № 1140. Dostup iz sprav.-pravovoj sistemy «Konsul'tantPlyus».
8. Mel'nikov G.O., Sineshchuk Yu.I. Modul'naya model' sistemy opoveshcheniya i upravleniya evakuaciej lyudej na osnove tekhnologii IOT // Problemy upravleniya riskami v tekhnosfere. 2025. № 4 (76). S. 182–200. EDN RSLCQX. DOI:https://doi.org/10.61260/1998-8990-2025-4-182-200
9. Moskvina N.V. Preimushchestva ispol'zovaniya cifrovoj platformy dlya podklyucheniya ustrojstv «Interneta veshchej» pri preduprezhdenii i likvidacii proisshestvij i CHS // Aktual'nye problemy obespecheniya pozharnoj bezopasnosti i zashchity ot chrezvychajnyh situacij: sb. materialov Vseros. nauch.-prakt. konf. ZHeleznogorsk: Sibirskaya pozharno-spasatel'naya akademiya, 2021. S. 370–375. EDN BWFBPU.
10. IoT Analytics. State of IoT Summer 2024: Number of connected IoT devices growing 13 % to 18,8 billion globally. 2024. URL: https://iot-analytics.com/number-connected-iot-devices/ (data obrashcheniya: 04.05.2026).
11. Yen H.-H., Lin C.-H., Tsao H.-W. Novel Smoke-Aware Individual Evacuation and Congestion-Aware Group Evacuation Algorithms in IoT-Enabled Multi-Story Multi-Exit Buildings // IEEE Access. 2022. Vol. 10. P. 119402–119418. DOI:https://doi.org/10.1109/ACCESS.2022.3221757
12. Fang H., Lo S., Lo J.T.Y. Building Fire Evacuation: An IoT-Aided Perspective in the 5G Era // Buildings. 2021. Vol. 11. № 12. Article 643. DOI:https://doi.org/10.3390/buildings11120643
13. A Fire Evacuation and Control System in Smart Buildings Based on the Internet of Things and a Hybrid Intelligent Algorithm / A. Mohammadiounotikandi [et al.] // Fire. 2023. Vol. 6. № 4. Article 171. DOI:https://doi.org/10.3390/fire6040171
14. Yen H.-H., Lin C.-H. Intelligent Evacuation Sign Control Mechanism in IoT-Enabled Multi-Floor Multi-Exit Buildings // Sensors. 2024. Vol. 24. № 4. Article 1115. DOI:https://doi.org/10.3390/s24041115
15. Jiang L., J. Shi C., Wang Z. Pan Intelligent control of building fire protection system using digital twins and semantic web technologies // Automation in Construction. 2023. Vol. 147. Article 104728. DOI:https://doi.org/10.1016/j.autcon.2022.104728
16. Building Artificial-Intelligence Digital Fire (AID-Fire) system: A real-scale demonstration / T. Zhang [et al.] // Journal of Building Engineering. 2022. Vol. 62. Article 105363. DOI:https://doi.org/10.1016/j.jobe.2022.105363
17. Ding Yu., Zhang Yu., Huang X. Intelligent emergency digital twin system for monitoring building fire evacuation // Journal of Building Engineering. 2023. Vol. 77. Article 107416. DOI:https://doi.org/10.1016/j.jobe.2023.107416
18. Advanced fire emergency management based on potential fire risk assessment with informative digital twins / Yu.J. Kim [et al.] // Automation in Construction. 2024. Vol. 167. Article 105722. DOI:https://doi.org/10.1016/j.autcon.2024.105722
19. Intellektual'naya sistema opoveshcheniya i upravleniya evakuaciej lyudej pri pozhare ob"ektov s massovym prebyvaniem lyudej na osnove BIM-modelirovaniya / G.A. Lazarev [i dr.] // Nauchnyj zhurnal. 2022. № 2 (64). S. 21–29. EDN QTDIOF.
20. Intellektual'naya sistema opoveshcheniya i upravleniya evakuaciej lyudej na ob"ektah zashchity s primeneniem BIM-modelirovaniya / G.L. SHidlovskij [i dr.] // Aktual'nye problemy pozharnoj bezopasnosti: materialy XXHI Mezhdunar. nauch.-prakt. konf. M.: Vserossijskij ordena «Znak Pocheta» nauchno-issledovatel'skij institut protivopozharnoj oborony Ministerstva Rossijskoj Federacii po delam grazhdanskoj oborony, chrezvychajnym situaciyam i likvidacii posledstvij stihijnyh bedstvij, 2019. S. 597–599. EDN BNFAOV.
21. Doronin A.S. Obosnovanie i razrabotka prototipa ustrojstva na osnove iskusstvennogo intellekta dlya raspoznavaniya pozhara: dis. … kand. tekhn. nauk. SPb., 2025. 166 s.



