Electric energy meter comprehensive verification method and system based on stepwise regression algorithm

Abstract

The invention discloses an electric energy meter comprehensive verification method and system based on a stepwise regression algorithm, and the method comprises the following steps: carrying out the visualization of an original data distribution scatter diagram, deleting an abnormal value, and generating sample data; drawing a normal probability graph according to the sample data and carrying outnormal distribution inspection processing; fitting a sample error average regression line and a median regression line according to the sample data after inspection processing, and screening the sample data; performing multiple regression analysis on the screened sample data by using the stepwise regression algorithm, and determining a regression equation; checking the credibility of the regression equation, and determining a data regression model; performing independent variable weight normalization processing on the regression equation, and calculating the influence weight of the independentvariable on the error based on the relevancy; and substituting the influence weight of the independent variable on the error into the data regression model and then carrying out comprehensive verification on the electric energy meter. According to the invention method, the electric energy meter is comprehensively calibrated, and the reliability and stability of the electric energy metering deviceare ensured.

Description

technical field [0001] The invention relates to a comprehensive verification method and system for an electric energy meter based on a stepwise regression algorithm, and belongs to the technical field of electric energy measurement. Background technique [0002] The automatic verification assembly line workshop of smart energy meters contains a large number of smart energy meter bodies and verification equipment, and various error sources such as temperature and humidity are cross-mixed. It is difficult to use ordinary air conditioners to strictly control conditions such as reference temperature in the huge verification workshop. Usually, precision air conditioners are used, but this method requires a lot of investment and energy consumption. The latest international standard for energy meters, IR46, has expanded the ambient temperature control range from 2 degrees to 5 degrees. For this reason, the reference conditions in my country's existing electric energy verification ...

AI Technical Summary

Problems solved by technology

However, in the comprehensive verification error model of smart energy meters, other environmental variables such as temperature and humidity may be interdependent and mutually restrictive, and there may be a certain correlation between the respective variables. The estimated results have a relatively large negative impact, which is generally manifested as poor stability of the regression coefficient, low precision, and poor interpretability of the model, etc.

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