ВЕРОЯТНОСТНО-СТАТИСТИЧЕСКИЕ ЗАКОНОМЕРНОСТИ ФУНКЦИОНИРОВАНИЯ ВОЕНИЗИРОВАННЫХ ГОРНОСПАСАТЕЛЬНЫХ ОТРЯДОВ НА ОБЪЕКТАХ ГОРНОРУДНОЙ ПРОМЫШЛЕННОСТИ

Abstract

Purpose. The article discusses the possibility and necessity of forming and functioning of emergency rescue squads capable of carrying out a wide range of emergency rescue and other urgent operations at the mining industry facilities. Methods. The basis for theoretical researches was mathematical statistics methods, the mathematical modeling method, modeling and calculations related to the assessment of joint units forming and functioning for servicing hazardous production facilities of the mining industry. Findings. The study of statistical data on responses of the most loaded paramilitary mine rescue squads carried out on the territory of guarded hazardous production facilities of the mining industry of the Russian Federation for the period from 2015 to 2019 has been carried out. Substantiating the number of the mine rescue squads detachments for servicing calls has been carried out. The probabilistic, time and frequency characteristics of the failure-free call service have been used as criteria to substantiate the number n of the detachments. It has been found that accidents and incidents at mining sites are of a different nature, and mine rescue squads have a different load associated with the operational activity, which is explained by the industrial hazard of protected mining sites and industrial infrastructure. The main share of registered accidents at mining facilities are fires (52.4 %) and collapses (22.9 %). Research application field. The data obtained can be used in the organizational design of mine rescue units and services. Conclusions. The flow of destructive events at the mining industry facilities obeys the Poisson stationary distribution law, and the temporal characteristics of the mine rescue squads response process are described by the Erlang distribution. Methods of mathematical modeling functioning processes of urgent emergency rescue services can be used for organizational design of emergency rescue services and units at the mining industry facilities.