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DEVELOPMENT OF AUTOMATED MONITORING SYSTEM
OF ATMOSPHERIC AIR UNMANNED AERIAL VEHICLE
Vladimir A. Osanov, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia, osanov97v@mail.ru
Andrey A. Shchurikhin, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia, andrey.s.97@mail.ru
Sergey M. Kondratev, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia, puma200909@mail.ru
Iuliia A. Mikhalenko, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia, mihalenko97@mail.ru
Olga S. Konyaeva, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia, konyaeva2012@gmail.com
Abstract
One of the most pressing environmental problems of the modern world is air pollution, which can greatly harm human health. In this case, most often it is not accessible to vision. This article analyzes the environmental situation in Russia, identifies the main sources of air pollution and statistical data on the dynamics of pollutant emissions. Modern methods of air pollution control are described. Their shortcomings were identified, which resulted in the conclusion that modern air monitoring systems cannot be continuously monitored under various weather conditions, in order to obtain data on the concentration of pollutants and to identify pollution sources, which in turn is an obstacle to effective pollution control. To solve this problem, we propose a comprehensive automated solution for monitoring the level of concentration of pollutants in the air and identifying the most polluted areas in the established radius using an unmanned aerial vehicle (UAV). This project will allow visually, with the help of an interactive map, with a gradation according to a color attribute, generated on the basis of collecting air samples, to observe the level of pollution. The project implementation includes five main stages, which are described in detail in the article, the advantages of the system being developed over its analogues, and the preliminary results of the system’s work are described. The scope of application of the automated system are industrial enterprises within the city and beyond.
Keywords: air pollution, harmful substances, industrial plants, environmental monitoring, automated system, quadracopter, autopilot, sensor, interactive map.
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Information about authors:
Vladimir A. Osanov, student of the Department of Software and Management in Technical Systems, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
Andrey A. Shchurikhin, student of the Department of Software and Management in Technical Systems, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
Sergey M. Kondratev, student of the Department of Software and Management in Technical Systems, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
Iuliia A. Mikhalenko, student of the Department of Digital Economics, Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
Olga S. Konyaeva, candidate of Science, associate professor of the Department of Software and Management in Technical Systems, Povolzhskiy State Universityof Telecommunications and Informatics, Samara, Russia