Conventional maintenance methods for power equipment mainly focus on fault feature analysis and processing,but multi-source data fusion reduces maintenance efficiency and is not conducive to the application of intelligent maintenance scenarios.Therefore,this article designs an intelligent on-site operation and maintenance method for power equipment based on swarm intelligence algorithms.This method is based on swarm intelligence algorithms to construct a power equipment operation and maintenance model.It utilizes swarm intelligence algorithms such as wolf colony and ant colony to balance the relationship between maintenance workload,equipment reliability,and economy,and generate the optimal objective function.When solving the global update parameters for intelligent operation and maintenance of power equipment,the positive feedback method of on-site intelligent operation and maintenance of power equipment is used to seek the optimal solution for operation and maintenance,thereby meeting the needs of intelligent operation and maintenance.By analyzing examples,it has been verified that this method has higher efficiency and economy in operation and maintenance,and can be applied in practical life.
关键词
群体智能算法/电力设备/现场/智能化/运维检修方法
Key words
swarm intelligence algorithm/power equipment/on site/intelligence/operation and maintenance methods
维普
万方数据