Predicting Fire Risk in High-Risk Facilities Using Risk Estimation Algorithms

Nurmuxamedov, Tolaniddin; Koraboshev, Oybek; Shaumarov, Rustambek

doi:Under indexing

Proceedings of International Conference on Applied Innovation in IT · 2026/06/12 · Vol. 14 · Issue 4 · pp. 245–250

Predicting Fire Risk in High-Risk Facilities Using Risk Estimation Algorithms

Tolaniddin Nurmuxamedov, Oybek Koraboshev, Rustambek Melikuziev and Said Shaumarov

📄 Download PDF DOI: Under indexing

Abstract

This article considers the issue of using algorithms for calculation of estimates in ensuring fire safety at high-fire risk facilities. The proposed algorithms are based on methods and approaches such as multi-criteria assessment and statistical analysis. According to the assessment results, facilities are rated according to the level of danger and optimal management decisions are developed for fire prevention measures. The possibilities of fire risk monitoring and prediction are also considered. As a result of the research, an algorithmic solution has been developed that helps digitize the decision-making process aimed at increasing the level of safety for high-fire risk facilities. This approach allows reducing fire risk, minimizing errors caused by the human factor, and effectively planning safety measures. However, in this article, mathematical models and statistical analysis methods are used to assess fire risk, and the accuracy of predictions is increased through the integration of artificial intelligence with machine learning algorithms. According to the results, the developed model allows for early detection of dangerous situations in high-risk facilities and increases the efficiency of security systems. Using the proposed algorithms, an index expressing the risk level in percentages is formed, which facilitates the categorization of facilities by risk level. The results of this study will be of practical importance in the field of fire safety for the modernization of monitoring systems, optimization of the activities of firefighting services, and planning preventive measures.

Keywords

Algorithms for Calculation of Estimates Control Parameters Optimization Hybrid Approaches Distance Matrices Minimization Factors Features

References

M. Kh. Hudayberdiyev and O. Z. Koraboshev, “Development of schematic solutions for rapid detection and reporting of toxic gases in the air,” Fire and Explosion Safety, no. 3, vol. 12, pp. 65-71, 2023.
U. Khasanov, “Application of fuzzy methods for solving incorrect problems,” in Proceedings of the 1st International Scientific and Practical Conference “Science in the Environment of Rapid Changes”, Brussels, Belgium, 2022, pp. 274-277.
A. V. Demin, “Deep Learning of Adaptive Control Systems Based on a Logical-Probabilistic Approach,” The Bulletin of Irkutsk State University. Series Mathematics, vol. 38, pp. 65-83, 2021, [Online]. Available: https://doi.org/10.26516/1997-7670.2021.38.65.
E. V. Arefieva and M. V. Bolgov, “Features of forecasting natural floods in order to reduce the risk of emergency situations on the example of Krasnodar Krai,” Civil Security Technologies, vol. 15, no. 4, pp. 40-47, 2018.
E. M. Bogdanova and I. S. Markov, “Forecasting emergencies and other incidents in transport: A neural network approach,” in Proceedings of the IX International Scientific Seminar “Fire Safety of Business Facilities”, Russia, 2020, pp. 107-115.
A. Sh. Arifzhanov, D. K. Mukhamedieva, and U. U. Khasanov, “Modeling processes of optimizing the structure of forces and means at a fire using parallel computing,” High-Performance Computing Systems and Technologies, vol. 5, no. 2, pp. 35-42, 2021.
G. F. Malykhina, P. S. Zhirakova, and A. V. Militsyn, “Design of an intelligent fire protection system,” Ontology of Designing, vol. 14, no. 2, pp. 217-229, 2024, [Online]. Available: https://doi.org/10.18287/2223-9537-2024-14-2-217-229.
N. G. Topolskiy, D. V. Tarakanov, A. V. Mokshantsev, and K. A. Mikhaylov, “Infrared technologies use in the exploration of fire by the fire links,” in Proceedings of the 25th International Scientific-Technical Conference “Safety Systems 2016”, Moscow, Russia: State Fire Academy of EMERCOM of Russia, 2016, pp. 611-613.
V. Kodur and M. Z. Naser, “Fire hazard in transportation infrastructure: Review, assessment and mitigation strategies,” Frontiers of Structural and Civil Engineering, vol. 15, no. 1, pp. 46-60, 2021.
D. I. Pavlov, “General principles and approaches to the selection and use of smoke fire detectors for protection facilities,” Supervisory Activity and Forensic Examination in the Security System, no. 2, pp. 30-42, 2020.
Yu. I. Zhuravlev, “On the algebraic approach to solving recognition or classification problems,” Problems of Cybernetics, no. 33, pp. 5-68, 1978.
A. A. Bykov and V. N. Bashkin, “On extreme natural phenomena and assessment of natural and environmental risks,” Problems of Risk Analysis, vol. 15, no. 3, pp. 4-5, 2018.
B. A. Mavlyankariev and B. B. Khatamov, “Method for modeling factors determining the characteristic of multifunctional special equipment in ensuring the required level of fire safety of a complex object,” International Journal of Advanced Research in Science, Engineering and Technology, vol. 6, no. 9, pp. 10799-10804, 2019.