一种基于人工鱼群算法的山林火灾扫描无人机路径规划

打开文本图片集

中图分类号：TP391.9 文献标志码：A 文章编号：2095-2945（2025）27-0046-04

Abstract：Withthefrequentoccurrenceoffiresinmountainsandforests，theimportanceofunmannedaerialvehicle（UAV） pathplanninginfiremonitoringhasbecomeincreasinglyprominentandhasbecomeakeyissethatnedstobesolved urgently.Inthispaper，aimingatmountainforestfirescenarioscombinedwiththecomplexteraincharacteristicsofmountain forest，cubicsplineinterpolationalgorthmisusedtobuildapathfunctionandgenerateapathmodelthatadaptstochangeable terainSecondly，apathplaningmodelbasedonthearifcialfishswarmalgorithmisestablishedtorealizeficientpangof theUAVsflightpathbysolvingandcalculatingtheshortestpath.Using MATLABR2024asimulationplatform，simulation optimizationwascariedoutbasedonmountaincharacteristics，andtheefectivenessofthealgorithmwasverified.Intheend， theoptimalpathundertheestablishedcondionswassuccesfullyobtained，whichsignificantlyimprovedtheIncidentesponse ServiceroleofUAVsinforestfiremonitoring.Experimentalresultsshowthatthealgorithmprovidesreliabletechnicalsuortfor fire control and rescue of mountain fires，and has important practical application value.

Keywords：forestfire;biomimeticoptimizationalgorithm;pathplanning;MATLAB;artificial fishswarmalgorithm

近年来，全球山林火灾的发生频率显著上升，导致大量有害气体释放，危害人类和动植物健康，还会摧毁基础设施，威胁居民生命财产安全，并造成巨大的经济损失。（剩余6487字）