基于无人机的大气污染物变步长溯源算法研究

Research on air pollutant variable steptracing algorithm based on UAV

目的:研究如何快速、精确定位大气污染源的位置。方法:以无人机作为大气环境移动监测平台,提出了变步长Z字形浓度梯度大气污染物溯源算法,利用Fluent和Matlab件对大气污染物的扩散进行模拟计算,构建多种用于测试溯源算法的浓度场。结果:变步长Z字形浓度梯度算法在仿真实验和实际测试环境下成功定位到污染源。结论:变步长Z字形浓度梯度算法在烟羽发现过程中不仅全局搜索能力更高,而且在烟羽跟踪过程中局部搜索能力更细化,定位误差更小。

Aims:Study how to quickly and accurately locate the atmospheric pollution sources.Methods:UAV as a mobile atmospheric environment monitoring platform,a variable step size zigzag-concentration gradient algorithm for atmospheric pollutants is proposed.The diffusion of atmospheric pollutants is simulated by FLUENT and MATLAB software,and a variety of concentration fields for testing traceability algorithms are constructed.Results:Variable step size zigzag-concentration gradient algorithm can successfully locate pollution sources in simulation experiments and actual test environments.Conclusions:The variable step size zigzag-concentration gradient algorithm not only has a higher global search ability in the plume discovery process,but also has a more detailed local search ability and a smaller positioning error during the plume tracking process.