A Traceability Method of Air Pollutants Based on Longhorn Beetle Search Algorithm

Abstract

The present invention provides a traceability method for air pollutants based on a longicorn beetle search algorithm, which is used to realize fast and accurate positioning of air pollutants when wind direction information is unknown. At present, most of the existing odor source location algorithms need to rely on wind direction information to search against the wind to track the plume. They are highly dependent on wind direction information, and the actual wind speed and wind direction fluctuate greatly, which affects the diffusion of odor sources in the air. Larger, at this time, referring to the wind direction information and using the wind direction to locate the odor source, the search effect is poor, and the robot in the search process is likely to fall into a local optimum, and the search efficiency is low. The air pollutant traceability method is based on the beetle's beard search algorithm. Gas sensors are installed at the left and right ends of the drone to read the pollutant concentrations at the left and right ends of the drone in real time. The position of the next step of the machine, and then continue to iterate, gradually approaching the source of pollution. Without relying on wind direction information, this algorithm effectively avoids the UAV from falling into a local optimum during the search process, and accurately and quickly locates the location of the pollution source.

Description

technical field [0001] The invention relates to a method for locating pollution sources, in particular to a method for tracing the source of air pollutants based on a beetle beetle search algorithm. Background technique [0002] In recent years, the problem of air pollution has become increasingly serious. Up to now, there are more than one billion urban residents in the world who live in different levels of air pollution. This atmospheric environment can induce a variety of respiratory and even other diseases, which is harmful to the health of residents posed a serious threat. Due to the strong mobility of the air, and in order to discharge exhaust gas to farther places and avoid local pollution, factories in various places adopt high chimneys and far-discharge methods to expand the scope of air pollution. It is difficult to control the flow of polluted air, and the whole world is under the threat of air pollution. Therefore, the location of air pollution sources is of gr...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved in the present invention is how to develop a suitable air pollutant traceability algorithm and apply it to unmanned aerial vehicles by combining the wind direction information and the actual situation of air pollutant traceability. Algorithm-Based Air Pollutant Traceability Method

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