Abstract

The purpose of the work is to analyze the statistical information about fires to establish the dependence of the number of fires in the industrial and warehouse buildings on the frequency of scheduled inspections and, on this basis, to develop a methodology for justifying the optimal frequency of scheduled inspections of their fire safety status by the federal state fire supervision authorities of the Ministry of Emergency Situations of Russia. For the first time, the mathematical models were obtained to determine the number of fires at industrial and warehouse protection facilities depending on the time elapsed since the last inspection, as well as to determine the number of fires at these protection facilities depending on the frequency of their scheduled inspections. The scientific novelty of the work lies in the fact that for the first time, on a scientific basis, an original method for substantiating the optimal frequency of scheduled fire safety inspections of industrial and warehouse protection facilities was developed and tested. The data obtained allows to substantiate on a scientific basis: the optimal frequency of scheduled inspections of the fire safety condition of industrial and warehouse buildings; the belonging of these objects of protection to the appropriate risk category, depending on the required frequency of their scheduled inspection; the required number of personnel of the federal state fire supervision bodies of the Ministry of Emergency Situations of Russia for timely and high-quality inspection of the supervised protection objects. The results of the work also make it possible to justify the need to amend the Regulations on the Federal State Fire Supervision, approved by Decree of the Government of the Russian Federation dated April 12, 2012, № 290, in terms of establishing an alternative method to the Federal Law dated July 31, 2020, № 248-FZ for justifying the frequency of scheduled control (supervision) activities in relation to the objects of control and their assignment to the appropriate risk category.

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