Multi-task Conditions for the Management of Fire and Rescue Units During Rolling Stock Extinguishing at Metallurgical Enterprises
( Pp. 39-46)
More about authors
Denisov Alexey N.
Doctor of Engineering, 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@mail.ru
Danilov Mikhail M.
Candidate of Engineering, Associate Professor; 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@yandex.ru
Anikin Sergei N.
postgraduate at the Department of Fire Tactics and Service (as part of the educational and scientific fire-fighting complex), @mail.ru
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
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
Abstract:
The article defines algorithms for assessing the cognitive capabilities of the head of a fire and rescue unit and also considers the managerial task of minimizing the decision-making time of the head in the field of extinguishing fires of railway trains at a metallurgical enterprise based on the conditions of multitasking, the factors of decision-making in the conditions of operational multitasking are considered. The results obtained can be used to adjust the existing model of fire and rescue units management when extinguishing fires of rolling stock at metallurgical enterprises. This work is intended for those who make managerial decisions and manage forces and means when extinguishing fires.
How to Cite:
Denisov A.N., Danilov M.M., Anikin S.N., Tsokurova I.G., (2022), MULTI-TASK CONDITIONS FOR THE MANAGEMENT OF FIRE AND RESCUE UNITS DURING ROLLING STOCK EXTINGUISHING AT METALLURGICAL ENTERPRISES. Computational Nanotechnology, 1 => 39-46.
Reference list:
Order EMERCOM of Russia dated 16.10.2017 No. 444 (ed. from 28.02.2020) “On approval of the Combat Charter of Fire Protection Units, which determines the procedure for organizing fire fighting and emergency rescue operations” (Registered with the Ministry of Justice of Russia 20.02.2018 No. 50100).
Pranov B.M. Models and methods of automated information processing and their application. In: About one class of problems of optimal allocation of resources. Tver, 1991. Pp. 43-65.
Danilov M.M., Tsokurova G.I., Anikin S.N. Model and algorithm for risk management of firefighters’ deaths during fire extinguishing at metallurgical enterprises. Computational Nanotechnology. 2021. Vol. 8. No. 3. Pp. 76-85. (In Rus.) DOI: 10.33693/2313-223X-2021-8-3-76-85
Charron S., Koechlin E. Divided representation of concurrent goals in the human frontal lobes. Science. 2010. No. 328. P. 360. DOI: 10.1126/science.1183614.
Antosyak P.P., Voloshin A.F. On the problem of finding a strict resulting ranking in the form of the Kemeni-Snell’s median. In: International Book Series “Information Science and Computing”. Artificial Intelligence and Decision Making. 2007. Pp. 91-98.
Pham Quang Hiep, Kvyatkovskaya I.Yu. The deployment of distribution median to solveproblems of estimations competitiveness telecommunication services. Izvestia VTSU. Series: Current problems of management, computer engineering and informatics in technical systems: Inter-university. coll. scientific papers. 2014. No. 6 (133). Issue 20. Pp. 86-91.
Set of rules. Locations of fire departments. Procedure and method of determination (Ministry of Emergencies of the Russian Federation dated 25.03.2009 No. 181) (ed. from 09.12.2010) [Electronic resource]. URL: http://docs.cntd.ru/document/1200071155
Fires and fire safety in 2016: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2017. 125 p.
Fires and fire safety in 2017: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2018. 126 p.
Fires and fire safety in 2018: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2019. 127 p.
Fires and fire safety in 2019: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2019. 82 p.
Fires and fire safety in 2020: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2021. 114 p.
Huang C., Moraga C. A diffusion-neural-network for learning from small samples // International Journal of Approximate Reasoning. 2004. Vol. 35. Pp. 137-161.
Pranov B.M. Models and methods of automated information processing and their application. In: About one class of problems of optimal allocation of resources. Tver, 1991. Pp. 43-65.
Danilov M.M., Tsokurova G.I., Anikin S.N. Model and algorithm for risk management of firefighters’ deaths during fire extinguishing at metallurgical enterprises. Computational Nanotechnology. 2021. Vol. 8. No. 3. Pp. 76-85. (In Rus.) DOI: 10.33693/2313-223X-2021-8-3-76-85
Charron S., Koechlin E. Divided representation of concurrent goals in the human frontal lobes. Science. 2010. No. 328. P. 360. DOI: 10.1126/science.1183614.
Antosyak P.P., Voloshin A.F. On the problem of finding a strict resulting ranking in the form of the Kemeni-Snell’s median. In: International Book Series “Information Science and Computing”. Artificial Intelligence and Decision Making. 2007. Pp. 91-98.
Pham Quang Hiep, Kvyatkovskaya I.Yu. The deployment of distribution median to solveproblems of estimations competitiveness telecommunication services. Izvestia VTSU. Series: Current problems of management, computer engineering and informatics in technical systems: Inter-university. coll. scientific papers. 2014. No. 6 (133). Issue 20. Pp. 86-91.
Set of rules. Locations of fire departments. Procedure and method of determination (Ministry of Emergencies of the Russian Federation dated 25.03.2009 No. 181) (ed. from 09.12.2010) [Electronic resource]. URL: http://docs.cntd.ru/document/1200071155
Fires and fire safety in 2016: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2017. 125 p.
Fires and fire safety in 2017: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2018. 126 p.
Fires and fire safety in 2018: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2019. 127 p.
Fires and fire safety in 2019: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2019. 82 p.
Fires and fire safety in 2020: A statistical digest. D.M. Gordienko (gen. ed.). Moscow: VNIIPO, 2021. 114 p.
Huang C., Moraga C. A diffusion-neural-network for learning from small samples // International Journal of Approximate Reasoning. 2004. Vol. 35. Pp. 137-161.
Keywords:
extinguishing control task, fire extinguishing manager, evaluation, algorithm.
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