Research on state evaluation system of power metering equipment based on BP neural network

Because the more and more complex external environment affects the safe and stable operation of power metering equipment, this paper studies the state evaluation system of power metering equipment based on BP neural network. The hardware of the system includes multi-environment parameter acquisition module, signal processing module, data transmission module and error evaluation module. The software system includes systematically collecting detection data of power metering equipment, selecting ambient temperature, humidity, magnetic field strength and atmospheric pressure as state quantities of power metering equipment, and introducing BP neural network to perform iterative calculation of state quantities to realize automatic state evaluation of power metering equipment. The experimental results show that the shortest detection time of the system is 2s, and the detection results are consistent with the actual results, which verifies that the system has a high efficiency and accuracy of the equipment status detection.