Research on Status Monitoring and Fault Diagnosis of Intelligent Substation Equipment Based on Internet of Things
This study explores an intelligent substation equipment status monitoring and fault diagnosis system based on the Internet of Things.The system constructs an Internet of Things architecture consisting of a perception layer,a network layer,and a platform layer.The perception layer collects key operating parameters such as temperature,vibration,current,and voltage in real-time through a sensor network deployed on substation equipment;The network communication layer utilizes wireless communication technology to achieve efficient and secure transmission of perception layer data;The platform layer utilizes deep learning algorithms to analyze data for device status monitoring and fault diagnosis.The research results indicate that the system can timely detect potential faults and provide strong guarantees for the safe and stable operation of the power system.
Internet of Thingsintelligent substationfault diagnosistechnical architecture
万方数据
维普
