Design and Implementation of Real-Time Fault Diagnosis System for Intelligent Distribution Network Equipment Based on 5G Communication
Aiming at the problems of long diagnosis time and low accuracy of traditional fault diagnosis methods,this paper proposes a real-time fault diagnosis system for intelligent distribution network equipment based on 5G communication.By constructing a high-speed and reliable 5G communication network,the system realizes the real-time collection and transmission of operation data of distribution equipment.At the same time,the system adopts advanced artificial intelligence algorithms such as multitask learning and graph convolution network,which can quickly and accurately diagnose fault types and locate them.The simulation results show that the designed system can complete fault diagnosis in a short time,and the diagnosis accuracy is high,showing excellent real-time and reliability.
distribution networkfault diagnosis5G communicationmultitask learning
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