无人机遥感监测下大气污染源追踪定位仿真

Simulation of Atmospheric Pollution Source Tracking and Positioning under UAV Remote Sensing Monitoring

针对当前方法进行无人机遥感监测大气污染源追踪定位时,普遍存在着定位所需时间过长、成本开销较大、精度较低等问题。提出基于萤火虫算法的大气污染源追踪定位方法。通过对无人机遥感监测下大气污染源进行分析,构建大气污染源扩散模型,以该模型为依据分析大气污染源形成原因,提取大气污染源特征,以特征值为依据,利用萤火虫算法对无人机遥感监测下大气污染源进行追踪定位,将萤火虫种群分为无数个单独子群,根据各个子群之间信息交流找出大气污染源追踪查询最优方案,构建无人机遥感监测下大气污染源追踪定位模型,以此实现大气污染源追踪定位。实验结果表明,所提方法在进行大气污染源追踪定位时所需时间较短、成本开销较少、精度较高。

This paper presents a method to track and locate atmospheric pollution source based on firefly algo rithm.By analyzing the atmospheric pollution source under the remote sensing monitoring of unmanned aerial vehi c le,we constructed the atmospheric pollution source diffusion model.Based on this model,the causes of atmospheric pollution source were analyzed,and then the characteristic of atmospheric pollution source was extracted.Based on eigenvalue,we used the firefly algorithm to track and locate the atmospheric pollution source under the remote sens ing monitoring of unmanned aerial vehicle.Meanwhile,we divided the firefly population into countless subgroups.According to the information exchange between subgroups,we found the optimal scheme of tracking and querying at mospheric pollution source.Finally,we built the tracking and locating model of atmospheric pollution source under the remote sensing monitoring of unmanned aerial vehicle.Thus,we achieved the tracking and location of atmospher ic pollution source.Simulation results prove that the proposed method needs less time,less cost and higher precision in tracking and locating atmospheric pollution source than the existing methods.