With the increasing scale and complexity of power system,traditional monitoring methods can no longer meet the needs of modern power grid.This paper puts forward a technical scheme of remote real-time monitoring of power system equipment based on wireless communication.The technical scheme adopts multi-level heterogeneous wireless sensor networks to realize data acquisition and transmission,and combines multi-modal data fusion and deep learning algorithm for fault diagnosis and early warning,and builds a centralized monitoring platform based on Web.The experimental results show that,compared with the traditional wired monitoring technology,the technical scheme has significantly improved the real-time data transmission,communication reliability and fault diagnosis accuracy.
维普
万方数据
