Substation equipment state monitoring method and device based on edge computing

Abstract

This application relates to a method and apparatus for substation equipment condition monitoring based on edge computing. The method includes: deploying edge computing nodes at the substation side, which aggregate real-time condition data collected by monitoring equipment; preprocessing and extracting features from the real-time condition data at the edge computing nodes to obtain equipment feature vectors representing the health status of the equipment; dynamically determining high-risk monitoring areas within the substation based on historical operation and maintenance data and real-time power grid operation requirements, and deploying corresponding lightweight intelligent diagnostic models at the edge computing nodes according to these high-risk monitoring areas; using the lightweight intelligent diagnostic models to perform real-time analysis of the equipment feature vectors to obtain equipment condition diagnostic results including fault types and fault probabilities; and executing tiered early warning or rapid control operations at the edge side based on the equipment condition diagnostic results. This method can improve the diagnostic results of substation equipment condition monitoring.

Images