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Preprints of the Keldysh Institute of Applied Mathematics, 2022, 024, 18 pp.
DOI: https://doi.org/10.20948/prepr-2022-24
(Mi ipmp3050)
 

The concept of creating an automated system of aerospace monitoring of forest fires

V. T. Zhukov, A. V. Koldomov, Yu. N. Orlov, M. A. Shakhramanyan
References:
Abstract: A structure of an automated aerospace monitoring system for monitoring of forest fires and a model for the joint use of satellite monitoring data of the forest fire situation in Russia and clarifying observations of unmanned aerial vehicles are proposed. A comparison of the effectiveness of each of the methods separately is carried out and an assessment of the improvement of the quality of control when they are used together is given. It is shown at the theoretical level that aerial monitoring using satellite observation data gives a significant reduction in the average time to detect a forest fire. To simulate the movement of unmanned aerial vehicles (UAVs), a non-stationary multidimensional Fokker-Planck equation is used with varying diffusion and drift coefficients, determined both by the initial goal of the flight task and by local measurements of gradients of atmospheric parameters (smoke content, temperature). The simulation principle is formulated, which is proposed to be the basis for the optimization of the projected aerospace monitoring system.
Keywords: forest fire, aerospace monitoring, unmanned aerial vehicle, random trajectory, Fokker-Planck equation.
Document Type: Preprint
Language: Russian
Citation: V. T. Zhukov, A. V. Koldomov, Yu. N. Orlov, M. A. Shakhramanyan, “The concept of creating an automated system of aerospace monitoring of forest fires”, Keldysh Institute preprints, 2022, 024, 18 pp.
Citation in format AMSBIB
\Bibitem{ZhuKolOrl22}
\by V.~T.~Zhukov, A.~V.~Koldomov, Yu.~N.~Orlov, M.~A.~Shakhramanyan
\paper The concept of creating an automated system of aerospace monitoring of forest fires
\jour Keldysh Institute preprints
\yr 2022
\papernumber 024
\totalpages 18
\mathnet{http://mi.mathnet.ru/ipmp3050}
\crossref{https://doi.org/10.20948/prepr-2022-24}
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