关键词: 电工装备, 工业互联网, 边缘缓存, 服务收益, 数据热门度, 粒子群算法

Abstract: Intelligent IoT of electrical equipment is conducive to the realization of high-level development of the electric equipment industry, while the traditional information interaction architecture cannot meet the information interaction requirements of intelligent IoT. Aiming at the problem of information distribution efficiency of electrical equipment intelligent manufacturing monitoring platform, an information distribution framework of electrical equipment based on edge cache is designed. Considering the cost of network construction and the delay demand of business data distribution, and aiming at maximizing the benefit of service cache of power companies, an edge information cache strategy for intelligent supervision of electrical equipment is studied. To reduce the complexity of problem solving, a cache decision algorithm based on improved particle swarm optimization is proposed. The simulation results show that the proposed caching algorithm achieves the high caching service benefits of power companies while guaranteeing the data caching requirements with high partial delay priority.

Key words: electrical equipment, industrial Internet, edge cache, service revenue, data popularity, particle swarm optimization algorithm