Information technologies for environmental monitoring of landfills using remotely piloted aircraft
DOI:
https://doi.org/10.32347/2411-4049.2025.1.164-172Keywords:
information technology, mathematical model, control algorithms, remotely piloted aircraft, modeling accuracy, control system, satellite communication channelsAbstract
The paper proposes an analytical model for assessing the quality of performance of tasks of environmental monitoring of landfills by means of remotely piloted aircraft, the feature of which is taking into account the nature of anthropogenic impact on the state of the environment by improving the environmental monitoring equipment by optimizing the structure and parameters of the aircraft's onboard equipment.
An algorithm for controlling an environmental monitoring UAV has been developed, which, unlike existing ones, provides stabilization of the object on the research trajectory and provides increased accuracy in assessing the environmental safety of observation objects by using a communication channel with a remotely piloted aircraft. The purpose of this study is to increase the level of environmental safety of territories affected by landfills by improving technological processes and modernizing the onboard equipment of remotely piloted aircraft.
The object of the study is the process of using remotely piloted aircraft in systems for environmental monitoring of landfills. The object of the study is the process of using remotely piloted aircraft in systems for environmental monitoring of landfills.
The practical significance of the results obtained is that on the basis of the improved scientific and methodological apparatus of using remotely piloted aircraft in the system of environmental monitoring of landfills, it is possible to build ecological maps of a technogenic nature.
This will increase the reliability of the obtained data, determine the nature and properties of anthropogenic zones of influence. The use of remotely piloted aircraft for environmental monitoring allows you to quickly obtain data on the state of the environment, which is critically important for timely detection and response to environmental threats.
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