NEURAL NETWORK APPROACH IN INFORMATION PROCESS FOR PREDICTING HIGHWAY AREA AIR POLLUTION BY PEAT FIRE

  • Александр Николаевич Васильев Peter the Great Saint-Petersburg Polytechnic University
  • Владимир Николаевич Ложкин St. Petersburg University of State Fire Service of EMERCOM of Russia
  • Ольга Владимировна Ложкина St. Petersburg University of State Fire Service of EMERCOM of Russia
  • Дмитрий Альбертович Тархов Peter the Great Saint-Petersburg Polytechnic University
  • Владимир Дмитриевич Тимофеев St. Petersburg University of State Fire Service of EMERCOM of Russia

Abstract

The diffusion of carbon monoxide from a peat fire in the vicinity of the motorway is presented by the original neural network model with heterogeneous differential data. The methods of model refinement according to the calculation and measurement of carbon monoxide concentration in the smoke cloud area are elaborated. The numerical solutions of the problem are presented in the form of neural network approximations by Gauss models for concentration fields and neural network approximate solutions of partial differential equations for light fraction diffusion. The trained neural network can be used for prediction of an emergency when changing wind speed and direction and fire parameters. The method is recommended in the information processes monitoring the air environment quality.

Author Biographies

Александр Николаевич Васильев, Peter the Great Saint-Petersburg Polytechnic University

доктор технических наук, профессор кафедры Высшая математика Института прикладной математики и механики

Владимир Николаевич Ложкин, St. Petersburg University of State Fire Service of EMERCOM of Russia

Заслуженный деятель науки РФ, доктор технических наук, профессор кафедры пожарной, аварийно-спасательной техники и автомобильного хозяйства

Ольга Владимировна Ложкина, St. Petersburg University of State Fire Service of EMERCOM of Russia

кандидат химических наук, доцент кафедры физико-химических основ процессов горения и тушения

Дмитрий Альбертович Тархов, Peter the Great Saint-Petersburg Polytechnic University

доктор технических наук, профессор кафедры Высшая математика

Владимир Дмитриевич Тимофеев, St. Petersburg University of State Fire Service of EMERCOM of Russia

заместитель начальника 1 курса инженерно-технического факультета, инженер, адъюнкт

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Published
2016-11-26
How to Cite
ВАСИЛЬЕВ, Александр Николаевич et al. NEURAL NETWORK APPROACH IN INFORMATION PROCESS FOR PREDICTING HIGHWAY AREA AIR POLLUTION BY PEAT FIRE. Modern Information Technologies and IT-Education, [S.l.], v. 12, n. 3-2, p. 181-187, nov. 2016. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/137>. Date accessed: 26 aug. 2025.
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Vol 12 No 3-2 (2016): Modern information technologies and IT-education
Section
Scientific software in education and science
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