Abstract
The effective conduct of emergency rescue operations in the context of the prevention and liquidation of technological emergencies is accompanied by a contradiction between tactics that were developed in the 60-70s of the twentieth century, taking into account the rescue equipment created at that time and given in existing documents, and current practice operational work of rescuers who use new samples of such equipment with improved tactical and technical characteristics. However, for them there are no recommendations on their use, which would take into account the level of preparedness of personnel or the time of year and the like. The operational deployment of fire trucks during the liquidation of technological emergencies can be considered in the form of an ordered set, which allows us to proceed to the consideration of a multifactorial polynomial model, the development of which is based on the corresponding plan of a simulated physical experiment. When choosing the latter, it is necessary to take into account that the initial indicators can have a nonlinear effect on the performance indicators of the operational deployment of tank trucks, and can also be interconnected. It is shown that increasing the effectiveness of emergency rescue operations during the liquidation of industrial emergencies requires a multifactor assessment of the operational deployment of fire trucks. When making such an assessment, it is necessary to take into account that the initial indicators can have a nonlinear effect on the performance indicators and be interconnected. The expediency of using the 3x2x2 plan for conducting a multivariate experiment and obtaining polynomial models of the dependence of the operational deployment time on the class of fire truck, the level of preparedness of the personnel and the time of the year is determined. In accordance with the available experimental results, three-factor polynomial models of the functioning of the system “lifeguard - fire truck - time of year” were obtained and analyzed. Keywords: operational deployment, fire truck, emergency, multifactor assessment
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