Research on Smart Meter Prognostics and Health Management Model Based on Virtual Measurement

The smart meter metering anomaly analysis model can directly determine whether a metering fault occurs according to the metering data of a smart meter, and the model can connect the real-time sampling data of the smart meter to determine the metering fault. In this paper, a fault identification model of smart electricity meter is proposed. Through the example verification, the model can directly determine the metering fault according to the metering data of smart electricity meter, and accurately and truly identify the metering fault of smart electricity meter. At the same time, the accuracy of fault prediction reaches 88.7%, which can achieve good prediction effect. It can be seen from the results that the smart meter metering anomaly analysis model can directly determine whether a metering fault occurs according to the metering data of a smart meter, and the model can connect the real-time sampling data of the smart meter to determine the metering fault.