Models and algorithms for the management of fire and rescue units in extinguishing fires at metallurgical enterprises when unloading raw materials from rolling stock
( Pp. 59-67)
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Denisov Denisov N.
Dr. Sci. (Eng.), Professor; professor at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)
State Fire Academy of Emercom of Russia
Moscow, Russian Federation Danilov Mikhail M. Cand. Sci. (Eng.); associate professor at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)
State Fire Academy of Emercom of Russia
Moscow, Russian Federation Tsokurova Irina G. postgraduate at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)
State Fire Academy of Emercom of Russia
Moscow, Russian Federation Anikin Sergei N. postgraduate at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)
State Fire Academy of Emercom of Russia
Moscow, Russian Federation
State Fire Academy of Emercom of Russia
Moscow, Russian Federation Danilov Mikhail M. Cand. Sci. (Eng.); associate professor at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)
State Fire Academy of Emercom of Russia
Moscow, Russian Federation Tsokurova Irina G. postgraduate at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)
State Fire Academy of Emercom of Russia
Moscow, Russian Federation Anikin Sergei N. postgraduate at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex)
State Fire Academy of Emercom of Russia
Moscow, Russian Federation
Abstract:
The approbation of the application of models and algorithms for supporting the control of forces and means of a fire and rescue garrison based on optimal decision-making models (stochastic or probabilistic) within the framework of the existing conditions for achieving the main task of fire departments, based on the theory of finite Markov chains, has been carried out. Study of the consequences of fires at metallurgical enterprises, namely, fires that occur on conveyor belts, including when unloading raw materials from a transport rolling stock, as well as the process of optimizing the management of fire departments when extinguishing these fires. Researchers have considered a model for managing fire and rescue units using a method that includes a process of discrete sequential conditions for making managerial decisions (Markov chains). To achieve the set goals, a practical experiment was carried out on burning samples of conveyor belts in a muffle furnace and a calorimetric installation, the results obtained were assessed, and a model for managing fire and rescue units was described. The subject of the research is support for the management of fire and rescue units in extinguishing a fire at metallurgical enterprises when unloading raw materials from rolling stock onto conveyor belts of the enterprise. Results. The destructiveness and scale of the possible consequences of a fire at metalworking enterprises have been experimentally confirmed, and the need to apply preventive measures and extinguish fires at facilities of this type has been determined. The results obtained can be used to control fire and rescue units when extinguishing fires at metallurgical enterprises when unloading raw materials from rolling trains onto conveyor belts of the enterprise. This work is intended for persons who make managerial decisions and who manage forces and means when extinguishing fires at metallurgical enterprises.
How to Cite:
Denisov D.N., Danilov M.M., Tsokurova I.G., Anikin S.N., (2021), MODELS AND ALGORITHMS FOR THE MANAGEMENT OF FIRE AND RESCUE UNITS IN EXTINGUISHING FIRES AT METALLURGICAL ENTERPRISES WHEN UNLOADING RAW MATERIALS FROM ROLLING STOCK. Computational Nanotechnology, 1: 59-67. DOI: 10.33693/2313-223X-2021-8-1-59-67
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Pozhary i pozharnaya bezopasnost v 2017 godu: Statisticheskiy sbornik / pod obshch. red. D.M. Gordienko. M.: VNIIPO, 2018. 125 s.: il.
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Pozhary i pozharnaya bezopasnost v 2019 godu: Statisticheskiy sbornik / pod obshch. red. D.M. Gordienko. M.: VNIIPO, 2019. 80 s.: il.
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Danilova M.A., Danilov M.M., Denisov A.N. i dr. Model operativnogo upravleniya v prinyatii opornykh resheniy s uchyetom optimal nosti // Pozhary i chrezvychaynye situatsii: predotvrashchenie, likvidatsiya. 2018. № 3. S. 94-101. DOI: 10.25257/FE.2018.3.94-101.
Kornfel d I.P., Sinay YA.G., Fomin S.V. Ergodicheskaya teoriya. M.: Nauka, 1980. 384 c.
TSokurova I.G., Denisov A.N., Samoylenko S.A., Ostapchuk M.L. Ponizhenie klassa goryuchesti pri ekspluatatsii transporternykh lent na metallurgicheskom predpriyatii (na primere CHerepovetskogo zavoda PAO Severstal ) // Nauka, tekhnika i obrazovanie. 2018. №11. S. 47-50. DOI: 10.20861/2312-8267-2018-52-004.
Anikin S.N., Danilov M.M., Denisov A.N. Upravlenie al ternativami vybora prinyatiya opornykh resheniy v taktike tusheniya pozharov // Computational nanotechnology. 2020. T. 7. № 4. S. 39-47. DOI: 10.33693/2313223X-2020-7-4-39-47.
Porowski R., Ku nicki Z., Ma ozi D., Dziechciarz A. Determination of toxicity in combustion products - state of the art // CNBOP-PIB. 2018. № 4.
Keywords:
fire, metallurgical enterprises, conveyor belt, fire extinguishing control, fire and rescue units, model, algorithm, rolling stock.
