摘要
随着电力设备不断更新,电气巡检变得越来越重要,为提高巡检效率,减少人力成本,电气巡检机器人逐渐成为一种可行的解决方案。基于此,,文章提出一种基于变步长蚁群算法的电气巡检机器人路径规划方法,该方法将蚁群算法与变步长策略结合,通过建立电力设备和巡检点之间的图模型,将问题转化为TSP问题。然后,利用蚁群算法进行路径搜索,并引入变步长策略动态调整蚂蚁的步长,以加快搜索速度并避免陷入局部最优解。为验证该方法的有效性,在实际电力设备中进行仿真实验。结果表明,基于变步长蚁群算法的路径规划方法能有效地优化路径,减少巡检时间和成本。与传统的路径规划方法相比,该方法在搜索效率和路径质量方面都具有明显的优势。
With the continuous update of electric power equipment,electrical inspection has become more and more important.In order to improve the inspection efficiency and reduce labor costs,electrical inspection robots have grad-ually become a feasible solution.Based on this,this paper proposes a path planning method of electrical inspection robot based on variable step size ant colony algorithm.This method combines ant colony algorithm with variable step size strategy,and transforms the problem into TSP problem by establishing a graph model between electric power e-quipment and inspection point.Then,the ant colony algorithm is used to search the path,and the variable step size strategy is introduced to dynamically adjust the ant step size to speed up the search and avoid falling into the local op-timal solution.In order to verify the effectiveness of this method,simulation experiments are carried out in real elec-tric power equipment.The results show that the path planning method based on variable step size ant colony algorithm can effectively optimize the path and reduce the inspection time and cost.Compared with the traditional path planning methods,this method possesses obvious advantages in search efficiency and path quality.
作者
张祺
Zhang Qi(Hangzhou Xiaoshan Technician College,Hangzhou 311208,China)
出处
《办公自动化》
2024年第11期83-85,共3页
Office Informatization
关键词
变步长蚁群算法
电气巡检机器人
路径
规划方法
variable step size ant colony algorithm
electrical inspection robot
path
planning method
