Design of Automatic Identification System of Electrical Measuring Instrument Based on Artificial Intelligence Technology

With the rapid judgment of equipment running faults in substations, the previous manual inspection, meter reading and recording modes can no longer meet the requirements of substation management and production efficiency, and the automatic counting technology of instrument indication is directly related to the development process of substation automation and informatization. In order to improve the reliability of power grid transaction data, aiming at the problem that the current measurement error correction methods of power measuring instruments have poor measurement data error verification ability, resulting in a big difference between error correction results and ideal results, a measurement error correction method of power measuring instruments based on artificial intelligence technology is designed. In order to build a more intelligent substation, more and more inspection robots are used to detect instruments in substations. According to the EM-KF principle of artificial intelligence technology, combined with the types and characteristics of error data, the error correction of measurement data is completed. The calibration experiment link of electric power measuring instruments is constructed. Through the measurement of multiple environments and experimental conditions, it is determined that the data obtained after using the new error correction method is closer to the ideal data, and the use effect of this method is good.