Сценарий поиска, выявления и тушения пожара в лесном массиве
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Scenario for searching, detecting and extinguishing a fire in a forest area

Meshcheryakov R.V.,  Salomatin A.A.,  Senchuk D.V.,  Shirokov A.S. 

UDC 629.7
DOI: 10.26102/2310-6018/2020.31.4.024

  • Abstract
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This article examines and describes the process of constructing an algorithm of actions - a scenario for searching, detecting and extinguishing a fire in a forest with unmanned aerial vehicles, developed at the initial stage when designing the operation of heterogeneous unmanned aerial systems in an automatic mode in order to optimize the solution of an urgent problem aimed at preserving flora and fauna, by the forces and means of the Ministry of the Russian Federation for Civil Defense, Emergencies and Elimination of the Consequences of Natural Disasters. The developed scenario makes it possible to achieve the solution of this problem by the forces of a heterogeneous unmanned aircraft system. Based on the experience of units armed with and actively operating unmanned aerial vehicles, limitations for the considered simplified scenario have been developed and described. This scenario was investigated using a mathematical apparatus, namely, a multicriteria optimization problem was built, which allows calculating the optimal number of unmanned aerial vehicles used, the total time for examining and extinguishing a fire, and the cost costs associated with trees in areas of fire that have not been extinguished.

Keywords: unmanned aerial vehicles, unmanned aviation systems, operation restrictions, scenarios for the use of unmanned aerial vehicles, multi-criteria optimization problem

For citation: Meshcheryakov R.V., Salomatin A.A., Senchuk D.V., Shirokov A.S. Scenario for searching, detecting and extinguishing a fire in a forest area. Modeling, Optimization and Information Technology. 2020;8(4). URL: https://moitvivt.ru/ru/journal/pdf?id=870 DOI: 10.26102/2310-6018/2020.31.4.024 (In Russ).

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Published 31.12.2020