Electric energy meter calibrating device error online evaluation method

Abstract

The invention discloses an electric energy meter calibrating device error online evaluation method, including the following steps: (1) pre-processing basic data; (2) establishing an error evaluation model; (3) estimating errors of a calibrating device, using electric energy meter basic error experimental data as input, and using an error evaluation algorithm, to obtain calibrating device error distribution, so as to obtain statistical information of error distribution mean values and mid-values, and complete calibrating device error estimation; (4) predicting errors of the calibrating device,based on electric energy meter calibrating device error estimation history, using a time sequence prediction method to complete calibrating device error trend prediction. The method integrates large amount of basic error experimental data of low-accuracy class electric energy meters into a virtual standard electric energy meter equivalent to high accuracy level, and performs real-time online monitoring and trend prediction on errors of the electric energy meter calibrating device, and completes electric energy meter calibrating device error online evaluation, so as to improve normalization, economical efficiency, and timeliness of calibrating device error evaluation.

Description

technical field [0001] The invention relates to the technical field of electric energy metering, in particular to an online error evaluation method of an electric energy meter verification device. Background technique [0002] In terms of the management of the verification device of the electric energy meter, the existing verification regulations and calibration specifications require the use of methods such as periodic inspection and interim verification to realize the staged evaluation of the error of the verification device. The existing method requires manual assembly of the standard table, which requires a large workload and tedious operations, and the quality and efficiency of error evaluation are greatly affected by human factors; during the evaluation period, some verification devices are shut down, which has a certain impact on the verification efficiency; The verification device is inaccurate, and the influence area is large. Contents of the invention [0003] I...

AI Technical Summary

Problems solved by technology

The existing method requires manual assembly of the standard table, which requires a large workload and tedious operations, and the quality and efficiency of error evaluation are greatly affected by human factors; during the evaluation period, some verification devices are shut down, which has a certain impact on the verification efficiency; The verification device is inaccurate, and the influence area is large

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