Development of a method for assessing the reliability of fire detection in premises

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.259493

Keywords:

fire detection, empirical distribution function, confidence interval, probability of fire, recurrence

Abstract

The object of this study is the detection of fires in the premises. The problem that was solved is the development of tools to assess the reliability of detection of fires in the premises based on the recurrence of the vector of increases in dangerous parameters of the gas environment. The method includes the sequential implementation of five procedures related to the formation of the vector of current increases in dangerous parameters, determining the recurrence of the current vector and evaluating the empirical distribution function relative to the calculated current recurrence of the state vector. Features and distinctive attributes of the developed method are the use of empirical cumulative distribution function in relation to the current recurrence of the state of hazardous parameters of the gas environment in the premises during fires. This makes it possible to solve the task of developing tools for the numerical determining of the trust limit for the predefined level of significance (reliability) and the likelihood of detecting fires in the premises in real time. The scope and conditions for the practical use of the obtained results are the modern and promising means and fire protection systems of various types of premises in buildings and structures. The proposed method was tested on the example of igniting test materials in the laboratory chamber. It is established that for materials with a high combustion rate (alcohol and cellulose) with a probability of 0.95, there is a sharp decrease in the value of the empirical function assessment to zero values. For timber, the value of this estimate is 0.15, and for textiles, the minimum value of the estimate is 0.31. It is established that the boundaries of the confidence interval with the level of significance covering the obtained estimates are determined by the value of ±0.086. In general, the results of the test indicate the operability of the proposed method for determining the reliability of detection of fires in the premises on the basis of the current degree of recurrence of increases in dangerous parameters of the gas environment

Author Biographies

Volodymyr Sadkovyi, National University of Civil Defence of Ukraine

Doctor of Science in Public Administration, Professor, Rector

Boris Pospelov, Scientific-methodical Center of Educational Institutions in the Sphere of Civil Defence

Doctor of Technical Sciences, Professor

 

Evgenіy Rybka, National University of Civil Defence of Ukraine

Doctor of Technical Sciences, Senior Researcher

Research Center

Borys Kreminskyi, State Scientific Institution «Institute of education content modernization»

Doctor of Pedagogical Science, Associate Professor

Department of Work With Gifted Youth

Oleksandr Yashchenko, National University of Civil Defence of Ukraine

PhD, Associate Professor

Department of Management and Organization of Civil Defence

Yuliia Bezuhla, National University of Civil Defence of Ukraine

PhD, Associate Professor

Department of Prevention Activities and Monitoring

Eleonora Darmofal, Kharkiv State Academy of Physical Culture

PhD, Head of Department

Educational Department

Eduard Kochanov, V. N. Karazin Kharkiv National University

PhD, Associate Professor

Department of Environmental Monitoring and Preservation

Svitlana Hryshko, Bogdan Khmelnitsky Melitopol State Pedagogical University

PhD

Department of Physical Geography and Geology

Iryna Kozynska, Pavlo Tychyna Uman State Pedagogical University

PhD

Department of Geography and Methods of its Education

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Published

2022-06-30

How to Cite

Sadkovyi, V., Pospelov, B., Rybka, E., Kreminskyi, B., Yashchenko, O., Bezuhla, Y., Darmofal, E., Kochanov, E., Hryshko, S., & Kozynska, I. (2022). Development of a method for assessing the reliability of fire detection in premises. Eastern-European Journal of Enterprise Technologies, 3(10 (117), 56–62. https://doi.org/10.15587/1729-4061.2022.259493

Issue

Vol. 3 No. 10 (117) (2022): Ecology

Section

Ecology

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Copyright (c) 2022 Volodymyr Sadkovyi, Boris Pospelov, Evgenіy Rybka, Borys Kreminskyi, Oleksandr Yashchenko, Yuliia Bezuhla, Eleonora Darmofal, Eduard Kochanov, Svitlana Hryshko, Iryna Kozynska

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