Support for decision-making to combat natural fires in Taiga-Analyst system : доклад, тезисы доклада

Dorrer G.A.; Kobijzhakova S.V.; Yarovoy S.V.

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Support for decision-making to combat natural fires in Taiga-Analyst system : доклад, тезисы доклада / G. A. Dorrer, S. V. Kobijzhakova, S. V. Yarovoy. - [S. l. : s. n.], 2020. - Текст : непосредственный // IOP Conference Series: Materials Science and Engineering / Krasnoyarsk Science and Technology City Hall of the Russian Union of Scientific and Engineering Associations ; II International Scientific Conference "Advanced Technologies in Aerospace, Mechanical and Automation Engineering" (2019 ; 18.11 - 21.11 ; Krasnoyarsk) : Institute of Physics and IOP Publishing Limited, 2020. - 734. - P. 12019. - DOI 10.1088/1757-899X/734/1/012019.

Аннотация: The system of regulatory documents defining the processes of decision-making on combating natural fires in the Russian Federation is described and the necessity of creating an information system to support decision-making in this field is justified. The processes of detection and response to natural fires are presented in the form of agency models. The structure of the system of support of decision-making on the use of resources and means for fire elimination, based on the software product "Taiga - Analyst," is proposed. The system is implemented on the basis of agency simulation modelling and allows to select forces and means for fire control, model its propagation and elimination with reference to the terrain map using a geographic information system. The scheme of decision-making in the fight against natural fires using the proposed system is shown. Participants of fire fighting as agents from the moment of fire detection to the moment of use of forces and means are considered in detail. A comparative analysis is presented with an indication of the technical characteristics of aircraft involved in the fight against natural fires.

Год издания: 2020

Авторы: Dorrer G.A. , Kobijzhakova S.V. , Yarovoy S.V.

Издательство: Institute of Physics and IOP Publishing Limited

Источник: IOP Conference Series: Materials Science and Engineering

Выпуск: 734

Мероприятие: II International Scientific Conference "Advanced Technologies in Aerospace, Mechanical and Automation Engineering" (Krasnoyarsk, 2019 ; 18.11 - 21.11)

Номера страниц: 12019

Держатель оригинала документа: FSBOU VO Siberian Fire and Rescue Academy of the Ministry of Emergency Situations of Russia, M.F. Reshetnev's Siberian state university of science and technologies

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