科技创新与应用2025，Vol.15Issue(27)：46-49,4.DOI:10.19981/j.CN23-1581/G3.2025.27.010
一种基于人工鱼群算法的山林火灾扫描无人机路径规划
摘要
Abstract
With the frequent occurrence of fires in mountains and forests,the importance of unmanned aerial vehicle(UAV)path planning in fire monitoring has become increasingly prominent and has become a key issue that needs to be solved urgently.In this paper,aiming at mountain forest fire scenarios,combined with the complex terrain characteristics of mountain forest,cubic spline interpolation algorithm is used to build a path function and generate a path model that adapts to changeable terrain.Secondly,a path planning model based on the artificial fish swarm algorithm is established to realize efficient planning of the UAV's flight path by solving and calculating the shortest path.Using MATLAB R2024a simulation platform,simulation optimization was carried out based on mountain characteristics,and the effectiveness of the algorithm was verified.In the end,the optimal path under the established conditions was successfully obtained,which significantly improved the Incident Response Service role of UAVs in forest fire monitoring.Experimental results show that the algorithm provides reliable technical support for fire control and rescue of mountain fires,and has important practical application value.关键词
山林火灾/仿生优化算法/路径规划/MATLAB/人工鱼群算法Key words
forest fire/biomimetic optimization algorithm/path planning/MATLAB/artificial fish swarm algorithm分类
信息技术与安全科学引用本文复制引用
袁欣欣,孟宪宗..一种基于人工鱼群算法的山林火灾扫描无人机路径规划[J].科技创新与应用,2025,15(27):46-49,4.
