基于蚁群算法的变电站巡检机器人全局路径规划研究

Research on Global Path Planning of Substation Inspection Robots Based on Ant Colony Algorithm

针对变电站巡检工作难度大和效率低的问题,本文提出了一种基于蚁群算法的变电站巡检机器人全局路径规划方法。此方法利用蚁群算法模拟蚂蚁觅食过程,通过不断迭代寻优确定巡检机器人的最优路径。与传统的基于Dijkstra算法的路径规划方法相比,本文方法具有更高的搜索效率和更优质的解。

This paper presents a novel approach to address the challenge of high difficulty and low efficiency of substation inspection.Specifically,the proposed approach is a global path planning method for substation inspection robots based on ant colony algorithm.The key idea behind this approach is to simulate the foraging behavior of ants using the ant colony algorithm,and then use continuous iterative optimization to determine the optimal path for the inspection robots.To evaluate the effectiveness of the proposed method,this paper compared it with the traditional path planning method based on Dijkstra algorithm.The results demonstrate that our approach is characterized by higher search efficiency and better solution,thereby making it a promising alternative for substation inspection.