Research on Intelligent Diagnosis of Switch Partial Discharge Based on Power Internet of Things

The power Internet of Things revolves around all aspects of the power system, and makes full use of mobile interconnection, artificial intelligence technology, and advanced communication technology to realize the interconnection of everything and human-computer interaction in all aspects of the power system. Build a smart service system with comprehensive status perception, efficient information processing, and convenient and flexible application. In this paper, aiming at the calculation and analysis requirements of collecting data on the edge computing node side, this paper studies the intelligent diagnosis algorithm on the edge computing node side based on ultrasonic sensors. Convolutional neural network is used to monitor the partial discharge of switchgear deployed on the edge side. Upload abnormal data to the platform layer for diagnosis and analysis, and promptly push early warning information to operation and maintenance personnel, and adjust status monitoring strategies.