State Detection of Electric Energy Metering Device Using Computer Neural Network

Itis to explore the detection of the state of electric energy metering device by computer neural network. 15 users as the analysis object, the combination of the artificial intelligence technology and the state detection of electric energy metering device; the neural network in the realization method of state detection of electric energy metering device; secondary processing of the collected data of the measurement automation system; two kinds of state detection technology scheme models of neural network were created. A theoretical analysis for the operation state of the electric energy metering device was performed. Through the real case analysis, the priority of the analysis results is I: user 1 and user 48; priority II: user 26, user 45, user 49, user 44; priority III: user 14, user 15, user 20, user 25, user 28, user 30, user 37; priority IV: user 22, user 34. The comprehensive evaluation of the state detection of the electric energy metering device is completed, which further verifies the feasibility of the implementation of the research results and ensures the safe, accurate, stable, and reliable operation of the electric energy metering device.