摘要
在对电力设备巡检前,合理地对巡检点进行选取,对巡检线路进行优化,可以提高巡检工作效率。本文提出一种依据设备的历史报缺状况以及巡检要求选取检测点的方法,进而利用粒子群算法,对巡检线路作出优化。从而对巡检工作进行了有效的规划。并通过实验数据,和获得最优解次数的比较,验证了算法的有效性。
To improve the efficiency of tour inspection of power equipments it is necessary to optimize the route before inspecting. This paper presents a Particle Swarm Optimization algorithm for the inspection routing problem based on their fault history and inspecting requirements of the equipments. The effectiveness of this algorithm is confirmed by the experimental data.
出处
《自动化技术与应用》
2009年第4期1-3,共3页
Techniques of Automation and Applications
关键词
巡检点的选取
线路优化
粒子群算法
inspection route selection
optimization
Particle Swarm Optimization
