Development of a method for rapid detection of fires based on combined current sampling and dispersions of a controlled hazardous environmental parameter

Authors

DOI:

https://doi.org/10.15587/2706-5448.2025.326336

Keywords:

fire detection, premises, hazardous parameters of the gas environment, sample means, sample variance

Abstract

The object of research is the process of detecting the ignition of materials in a premise based on the joint use of current sample means and variances of the controlled hazardous gas environment parameter. The problem is to develop a method for detecting the ignition of materials based on the joint use of current sample means and variances of the controlled hazardous gas environment parameter in a premise. The synthesis of the optimal method for detecting fires was achieved by moving from the space of controlled hazardous gas environment parameters to the spaces of sample means, sample variances, and also the space of joint sample means and variances. Under conditions of large samples, the distribution of sample means, sample variances and its joint values asymptotically tends to a Gaussian distribution. This allows to use the likelihood ratio criterion, which is optimal, in the synthesis. Unlike the traditional approach, the likelihood ratio is current and is determined for a fixed Gaussian distribution in the case of a reliable absence of ignition. It is established that the optimal method of fire detection based on the joint use of sample means and variances with the same quality indicators outperforms the optimal methods of fire detection based only on the sample mean or sample variance of the controlled hazardous parameter of the gas environment. This is explained by the fact that the optimal method of fire detection based on the joint use of sample means and variances uses a larger amount of information contained in the controlled parameters of the gas environment. The results obtained are useful from a theoretical point of view for the proposed optimal methods of fire detection. The practical significance of the work lies in the further improvement of existing fire protection systems of facilities in order to prevent fires.

Author Biographies

Boris Pospelov

Doctor of Technical Sciences, Professor

Evgeniy Rybka, National University of Civil Protection of Ukraine

Doctor of Technical Sciences, Professor

Department of Fire Prevention in Populated Areas

Yurii Otrosh, National University of Civil Protection of Ukraine

Doctor of Technical Sciences, Professor

Department of Fire Prevention in Populated Areas

Larysa Maladyka, National University of Civil Protection of Ukraine

PhD, Associate Professor

Department of Fire Prevention in Populated Areas

Olekcii Krainiukov, V. N. Karazin Kharkiv National University

Doctor of Geographical Sciences, Professor

Department of Environmental Safety and Environmental Education

Tymur Kurtseitov, National Defense University of Ukraine

Doctor of Technical Sciences, Professor

Department of Electromagnetic Struggle

Marharyta Vorovka, Bogdan Khmelnitsky Melitopol State Pedagogical University

Doctor of Pedagogical Sciences, Professor

Research Center

Svitlana Hryshko, Bogdan Khmelnitsky Melitopol State Pedagogical University

PhD, Associate Professor

Department of Geography and Tourism

Mykola Pidhorodetskyi, National Defense University of Ukraine

PhD, Associate Professor

Department of Engineer Support

Olga Salamatina, Mykolayiv National Agrarian University

PhD, Associate Professor

Research Center

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Development of a method for rapid detection of fires based on combined current sampling and dispersions of a controlled hazardous environmental parameter

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Published

2025-04-11

How to Cite

Pospelov, B., Rybka, E., Otrosh, Y., Maladyka, L., Krainiukov, O., Kurtseitov, T., Vorovka, M., Hryshko, S., Pidhorodetskyi, M., & Salamatina, O. (2025). Development of a method for rapid detection of fires based on combined current sampling and dispersions of a controlled hazardous environmental parameter. Technology Audit and Production Reserves, 2(3(82), 31–35. https://doi.org/10.15587/2706-5448.2025.326336

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Section

Ecology and Environmental Technology