An error analysis method for measuring equipment based on big data

Abstract

The invention discloses a large-data-based error analysis method for metering equipment. The large-data-based error analysis method for metering equipment is characterized in that based on a metering equipment detection system, according to the calculated load situation of each sub-station server, a main monitoring platform server selects a server with the lowest calculated load as an analysis server for the current analysis task, and transmits the original data required by the current analysis task to the analysis server; the analysis server constructs a metering equipment error matrix according to the error of the metering equipment, constructs an environmental influence matrix according to the environmental parameter situation during the detection process, solves the correlation function between the metering equipment error matrix and the environmental parameter situation, and analyzes the relationship between the error of the metering equipment and various environment variables according to the solved result. The large-data-based error analysis method for metering equipment analyzes the relationship between the error of the metering equipment and the environment factor, is beneficial to research of the failure mechanism of metering equipment, can realize analysis of large amounts of detection data, and has the advantages of high analysis speed, high efficiency, high processing capability, and high equipment utilization rate.

Description

technical field [0001] The invention relates to the technical field of electric power detection, in particular to a method for analyzing errors of metering equipment based on big data. Background technique [0002] Whether the measurement of power metering equipment is accurate is directly related to the safety of the whole process of power production and consumption, as well as the economic interests and social justice of the three parties of power generation, supply and consumption. Therefore, it is very necessary to accurately analyze the error of metering equipment. However, as the installation coverage of power metering equipment becomes wider and wider, and the geographical environment where it is installed becomes more and more complex, the influence of environmental factors on power metering equipment cannot be ignored. In order to clarify the relationship between the errors of metering equipment such as smart energy meters, electricity information collection equipme...

AI Technical Summary

Problems solved by technology

In the face of such a large amount of detection data, the existing error processing methods cannot make fast analysis when processing data, the calculation efficiency is low, and even the problem of insufficient storage may occur, which will directly affect the efficiency of error analysis

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