Research on Fault Location Method of Relay Protection Communication System Based on Big Data
The article proposes a big data based fault localization method for relay protection communication systems,addressing the complex and difficult problems of fault localization.This method design includes four modules:fault information management,Bayesian network model processing,fault probability calculation,and communication resource control.It utilizes big data technology to efficiently store and process massive heterogeneous data.The Bayesian network model integrates multiple sources of information,accurately infers the cause of faults,and allocates communication resources in real-time based on fault diagnosis results.Simulation experiments show that this method is significantly superior to traditional methods in terms of accuracy and real-time performance in fault localization,providing a new solution for improving the reliability of relay protection communication systems.
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