METHODS OF ASSESSING THE EFFICIENCY OF FUNCTIONING OF FIRE PROTECTION SYSTEMS

Abstract

The work provides statistical data on fires in Ukraine for 2021 and their consequences, including: the number of dead and injured people (including children), direct and collateral damage. Analytical methods were used, including comprehensive analysis and generalization of previously performed works. An analysis of literary sources and scientific research was carried out regarding the theoretical methods of assessing the reliability of technical systems and the list of reliability indicators, which at the same time are investigated and affect the efficiency of the functioning of technical systems; the classification of reliability indicators according to the properties characterizing the reliability of technical systems is given. The scheme of the procedure for researching the efficiency of the technical system is depicted. It is shown that the most applicable in practice when evaluating the effectiveness of the functioning of technical systems are probabilistic methods, the detailing of which is possible using statistical data. Mathematical models of distribution laws are given, which allow implementing probabilistic methods when evaluating the effectiveness of fire protection systems, and an analysis of their scope of application is carried out. The advantages and disadvantages of using methods for analyzing the efficiency of technical systems, namely probability distribution, binomial distribution, normal distribution, log-normal distribution, exponential distribution, Weibull distribution, are studied. It is shown that the probability (coefficient) of the influence of fire protection systems on the value of individual fire risk can also be established using field modeling methods. Approaches to assessing the probability of effective functioning, using theoretical methods, of both individual types of fire protection systems and their joint various combinations are considered. Formulated conclusions and directions for further research