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JOURNALS // Computational nanotechnology // Archive

Comp. nanotechnol., 2021 Volume 8, Issue 3, Pages 76–85 (Mi cn350)

INTELLIGENT TECHNICAL SYSTEMS IN MANUFACTURING AND INDUSTRIAL PRACTICE

Model and algorithm for risk management of firefighters' deaths during fire extinguishing at metallurgical enterprises

A. N. Denisov, I. G. Tsokurova, S. N. Anikin

Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)

Abstract: The approbation of the application of the model and the algorithm for supporting the management of the forces and means of the firefighting and rescue garrison based on the model, which provides for the risk management of firefighters' deaths within the framework of the existing conditions for achieving the main task of fire departments, based on neural networks, has been carried out. Researchers have considered a model of management of fire and rescue units based on the applied methods of observation, description and modeling, including, among other things, the process of risk management of firefighters' deaths. To achieve the set goals, the formalization of the management model for fire and rescue units was carried out. The subject of the research is the risk management of firefighters' deaths during fire extinguishing at metallurgical enterprises when unloading raw materials from rolling stock onto conveyor belts of the enterprise, including by implementing a model of management of fire and rescue units based on neural networks. The obtained results can be used to support the management of fire and rescue units during fire extinguishing at metallurgical enterprises when unloading raw materials from rolling stock onto conveyor belts of the enterprises. This work is intended for people who make managerial decisions and who manage forces and means during fire extinguishing at metallurgical enterprises.

Keywords: fire, management risk, death of firefighters, metallurgical enterprises, conveyor belt, fire and rescue units, model, algorithm, rolling stock.

Received: 10.08.2021

DOI: 10.33693/2313-223X-2021-8-3-76-85



© Steklov Math. Inst. of RAS, 2024