An intelligent diagnosis method of electric energy metering fault based on s-curve function

Abstract

An intelligent fault diagnosis method for electric energy metering based on an S-shaped curve function, comprising the following steps: S1: extracting historical data of real-time load, daily electricity, terminal alarm, and master station alarm from the metering automation system; S2: extracting from the historical data Metering fault evaluation index; S3: construct a training sample set based on the S-curve function; S4: construct a metering fault diagnosis model; S5: intelligent diagnosis of metering fault; S6: optimize the parameters of the metering fault diagnosis model, and reconstruct the metering fault diagnosis model. The method is based on an electric energy metering automation system, and can automatically perform intelligent diagnosis and analysis on massive electric power data. The measurement fault diagnosis system can automatically adjust and optimize the model structure and parameters according to its application environment, the latest actual data and system feedback, so as to achieve better diagnosis results.

Description

technical field [0001] The invention relates to a method for intelligently diagnosing metering faults occurring in an electric energy metering automation system, in particular to an intelligent diagnosis method for electric energy metering faults based on an S-curve function. technical background [0002] With the rapid development of my country's market economy and the rapid increase in electricity consumption of enterprises, the complexity of power supply and the diversity of power consumption are becoming more and more prominent, and the abnormal phenomenon of power consumption is also frequently occurring in a more serious direction. The rapid development of science and technology enables power supply companies to provide high-quality power supply services to power users more efficiently. At the same time, abnormal power consumption behaviors are also more complex and hidden under the background of high technology, causing huge losses to the country and power supply compa...

AI Technical Summary

Problems solved by technology

However, the staffing of power supply companies will become a bottleneck restricting the analysis of abnormal power consumption. After all, there are still not many technical backbones with rich industry experience, which is not enough to meet the needs of personnel who need to conduct empirical analysis on massive data.

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