Simulation implementation of air pollution traceability algorithm based on unmanned aerial vehicle

摘要

Abstract Air pollution has serious harm to the ecological environment and human health. However, current ground monitoring methods and mobile robot traceability methods are difficult to accurately and quickly trace air pollution sources after pollution events. To solve this problem, this paper proposes an air pollution traceability algorithm based on unmanned aerial vehicle (UAV), which combines the mobile and flexible UAV with the hill climb traceability algorithm to realize the monitoring and tracking of air pollution source in a large area. Gaussian concentration field and turbulent concentration field are built by MATLAB, and the simulation experiment is carried out in these two concentration fields. Experimental results show that the algorithm can trace air pollution sources quickly and accurately.