Research on Distributed Power Distribution Fault Detection Based on Edge Computing

With the advent of the era of Internet of Everything, the amount of data generated by edge devices in the distribution network has increased rapidly, bringing higher data transmission bandwidth requirements. At the same time, new applications have placed higher demands on the real-time nature of data processing, and traditional computing models have been unable to cope effectively. This paper proposes distributed power distribution fault detection based on edge computing, which can realize timely sensing and real-time response to distribution network faults, speed up distribution fault processing speed, shorten power outage time, improve power supply reliability and user satisfaction. Secondly, the basic principle of wavelet transform application in signal singularity detection is introduced, and a power signal fault signal analysis method based on wavelet transform is proposed. It not only makes full use of the advantages of wavelet transform in fault signal analysis, but also overcomes the shortcomings of traditional Fourier transform method, and verifies it through examples. Finally, based on the critical requirements of edge computing, such as agile connection, business real-time, data optimization, application intelligence, security and privacy protection, an evaluation system based on edge computing CROSS index fault detection model is proposed.