Research on on-site intelligent operation and maintenance of power equipment based on swarm intelligence algorithms
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.
swarm intelligence algorithmpower equipmenton siteintelligenceoperation and maintenance methods
万方数据
维普
