DEVELOPMENT OF FIRE PREDICTION AND PREVENTION DIGITAL SYSTEM ALGORITHMS

Authors

Oybek Zokirovich Koraboshev, Tashkent state agrarian university, Tashkent, Uzbekistan. E-mail: koraboshevoybek@gmail.com.Follow

Abstract

This research work is devoted to the development of algorithms for a digital system aimed at early detection, prediction and prevention of fire hazards. In the work, the process of fire hazard assessment is modeled on the basis of modern information technologies and artificial intelligence tools. The main focus is on collecting data in real time, analyzing it and creating algorithms that determine the level of danger. In the process of research, methods of data cleaning, normalization and determination of correlation between variables were used to process multidimensional data streams obtained from various sensors (temperature, smoke, gas concentration and humidity meters). The effectiveness of statistical models and machine learning algorithms (logistic regression, random forests, neural networks) in predicting the probability of fire occurrence was compared. As a result, the optimal algorithm was selected and tested in real conditions. The results of the research will serve to increase fire safety, reduce material and human losses, and ensure safety in industrial, transport, and residential infrastructure based on digital management.

First Page

55

Last Page

60

References

1. Nurmukhamedov, T., Hudayberdiev, M., Koraboshev, O., Sodikov, S., Hudayberdiev, K. (2023). Algorithms and methods of using intelligent systems in fire safety. Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), Gr. Noida, UP, India. DOI: 10.1201/9781032684994-98.
2. Ozerova, M.I. (2012). Development of the management telecommunication systems mechanism with problem of the high loading. Zhigalov, I.E., Novikov, I.A. Scientific enquiry in the contemporary world: theoretical basiсs and innovative approach. FL, USA, L&L Publishing, 4, Technical Sciences, 20-23.
3. Tupikov, D.V. (2013). The base of knowledge for operative management of enterprises with explosion- and fire-risks. Bringing Science to Life: Proceedings of the International Internet Conference 2013. Saratov. SSTU, 65-66.
4. Demin, A.V. (2021). Deep Learning of Adaptive Control Systems Based on a Logical-probabilistic Approach. The Bulletin of Irkutsk State University. Series Mathematics, 38, 65-83. (in Russian). https://doi.org/10.26516/1997-7670.2021.38.65.
5. Zhuravlev, N.M. (2020). On the evaluation of the effectiveness of solutions to fire safety management problems on the example of fire risk analysis. Proceedings of the VII International Scientific and Practical Conference “Fire Fighting: Problems, Technologies, Innovations”. Part 2. M.: Academy of the State Fire Service of the Ministry of Emergency Situations of Russia, 173-180.
6. Semikov, V.L. (2017). Important directions for the development of innovations in security systems. Annual International Scientific and Technical Conference Security Systems, 39-42.
7. Kolomiets, L.V., Ponikarova, N.Yu. (2017). Least squares method: method. instructions. Moscow: Publishing house of Samara University. 132 p.
8. Hudayberdiev, M.X., Koraboshev, O.Z. (2023). Methods and algorithms for monitoring and prediction of various fire hazardous situations. Journal of Chemical technology control and management. 2(110), 72-79.
9. Koraboshev, O.Z. (2023). Prediction using fire data based on machine learning algorithms. Journal of Chemical technology control and management. 3 (111), 57-63.
10. Korolev, D.S., Kalach, A.V. (2016). Prediction based on molecular descriptors and artificial neural networks as a way to eliminate the formation of a flammable environment. Fires and emergencies: prevention, elimination, 68-72.
11. Khasanov, U. (2022). Application of fuzzy methods for solving incorrect problems. Proceedings of the 1st International Scientific and Practical Conference «Science in the Environment of Rapid Changes», Brussels, Belgium, 274-277.

Recommended Citation

Koraboshev, Oybek Zokirovich (2025) "DEVELOPMENT OF FIRE PREDICTION AND PREVENTION DIGITAL SYSTEM ALGORITHMS," Chemical Technology, Control and Management: Vol. 2025: Iss. 5, Article 7.
DOI: https://doi.org/10.59048/2181-1105.1704