电力巡检中的无人机群路径规划算法

随着无人机技术的飞速发展, 无人机被广泛用于各种领域的巡检任务. 近年来, 电力网络的规模和长度都在快速增长, 无人机因其独特的性能和优势成为了电力巡检的首选, 无人机巡检不仅能保证安全性, 还能有效地提高巡检效率, 而路径规划是其在实际应用中的关键一步. 本文提出了一种新的混合元启发式方法, 用于解决电力巡检中带有多...

UAVs Routing Planning Algorithm in Power Inspection

With the rapid development of unmanned aerial vehicle (UAV) technology, UAVs are widely used in inspection tasks of various fields. In recent years, the scale and length of power networks have been growing rapidly, and UAVs have become the first choice for power inspection due to their unique performance and advantages. They can not only ensure safety, but also effectively improve inspection efficiency. Regarding inspection tasks, the path planning of UAVs is crucial in practical application. In this paper, a new hybrid meta-heuristic algorithm is proposed to solve the UAVs routing planning problem with multiple depots in power inspection. In the framework of adaptive large neighborhood search, the variable neighborhood descent strategy is added to enhance the neighborhood search ability and increase the possibility of finding a better solution. Experimental results show that the proposed algorithm can effectively solve the problem and has good stability and robustness. In addition, the proposed algorithm is compared with other meta-heuristic algorithms experimentally, and the comparison results verify that this algorithm can effectively reduce the number and time cost of UAVs used in inspection.