Optimization of path planning algorithm for UAV swarms in emergency rescue of mountain geological disasters
无人机集群在山区地质灾害应急救援中的路径规划算法优化

摘要

无人机集群在山区地质灾害应急救援中展现出重要的应用价值。山区复杂地形和灾害环境的不确定性使传统救援手段难以高效执行，进而无人机集群成为一种重要的补充。本文聚焦于无人机集群在山区灾害中的路径规划问题，提出了一种基于智能算法的优化路径规划方法。该方法通过建立地形模型和灾区环境分析，实现飞行路径的实时调整，避免障碍物并提高任务执行效率。在实际灾害场景中，本文评估了该算法的应用效果，验证了其在灾区救援中的优越性。与传统路径规划方法对比，优化后的算法在任务完成时间、飞行稳定性和效率方面显示出显著的提升。研究结果为无人机集群在山区地质灾害应急救援中的有效应用提供了理论依据与技术支持。

Abstract

UAV swarms have shown significant application value in emergency rescue operations for mountain geological disasters. The complex terrain in mountainous areas and the uncertainty of disaster environments make traditional rescue methods difficult to implement efficiently, thus making UAV swarms an important supplement. This paper focuses on the path planning problem of UAV swarms in mountain disaster scenarios and proposes an optimized path planning method based on intelligent algorithms. By establishing a terrain model and analyzing the disaster area environment, this method realizes real-time adjustment of flight paths, avoids obstacles, and improves the efficiency of task execution. In actual disaster scenarios, this paper evaluates the application effect of the algorithm and verifies its superiority in disaster area rescue. Compared with traditional path planning methods, the optimized algorithm shows significant improvements in task completion time, flight stability, and efficiency. The research results provide a theoretical basis and technical support for the effective application of UAV swarms in emergency rescue of mountain geological disasters.