Electric power measurement data quality physical examination method based on rule base

Abstract

The invention relates to an electric power measurement data quality physical examination method based on a rule base, and belongs to the technical field of electric power data management. The method comprises the following steps: S1, determining an electric power measurement data quality evaluation dimension index; S2, carding and defining an electric power measurement data quality evaluation rulebase; S3, constructing an electric power measurement data quality evaluation model; S4, data quality quasi-real-time physical examination; and S5, analyzing abnormal reasons of the physical examination result. Based on a plurality of data objects of the electric power measurement automation system, a set of quality evaluation system based on electric power measurement data is constructed, and quasi-real-time physical examination is performed on mass data of the electric power measurement automation system by defining a data quality evaluation rule base and establishing a data quality evaluation model. The problems that the metering data exception problem cannot be found in time, the exception reason searching and positioning efficiency is low, and the exception handling strategy lags behind can be effectively solved.

Description

technical field [0001] The invention relates to a method suitable for power measurement data quality assessment and physical examination, and belongs to the technical field of power data management. Background technique [0002] With the accelerated integration of new technologies such as electric power and big data, artificial intelligence, 5G, and blockchain, the operating characteristics of power grid enterprises and the physical structure of the power system have undergone fundamental changes. The power data related to the operation and calculation of the class is more abundant, the dimensions of the data are increasing, and the sources of the data are more diverse, which makes it more difficult to determine the abnormal causes that affect the transmission and calculation accuracy of the power data system. At present, the processing capacity of the existing data quality verification system based on the electric power metering automation system and the electric energy dat...

AI Technical Summary

Problems solved by technology

[0002] With the accelerated integration of new technologies such as electric power and big data, artificial intelligence, 5G, and blockchain, the operating characteristics of power grid enterprises and the physical structure of the power system have undergone fundamental changes. The electric power data of class operation and calculation are more abundant, the dimensions of data are increasing, and the sources of data are more diverse, which makes it more difficult to determine the abnormal causes that affect the transmission and calculation accuracy of electric power data systems

At present, the processing capacity of the existing data quality verification system based on the electric power metering automation system and the electric energy data calculation platform has become a serious bottleneck, and it is difficult to quickly complete the real-time monitoring and accuracy verification of abnormal data quality

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