Research on the application of group intelligent algorithm in the field of intelligent operation and maintenance of power equipment

With the rapid development of the power industry, the operation and maintenance of electrical equipment has become increasingly complex. Traditional O&M methods fall short in areas such as multi-source data integration, making it difficult to meet the demands of intelligent O&M. This paper delves into the application of swarm intelligence algorithms in the intelligent O&M of power equipment at the site. By constructing an O&M model based on swarm intelligence algorithms, solving global update parameters, and validating its effectiveness through case studies, this work aims to provide new ideas and methods for improving the efficiency and economic viability of power equipment O&M.