Electricity metering equipment fault analysis method and device

A technology for equipment failure and analysis methods, applied in the direction of calculation, calculation model, data processing application, etc., can solve the problems of time and efficiency without good guarantee, large error, etc., to improve efficiency and accuracy, improve accuracy, The effect of reducing the cost of human resources

CN107967485APending Publication Date: 2018-04-27ELECTRIC POWER RES INST STATE GRID JIBEI ELECTRIC POWER COMPANY +3
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2018-04-27

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Abstract

The invention discloses an electricity metering equipment fault analysis method and device. The method comprises steps that source data related to faults of electricity metering equipment are acquired; data cleaning of the source data is carried out; characteristic item selection of the source data after data cleaning is carried out; selected characteristic items are made to be sample data, and the sample data comprises training data, test data and prediction data; the training data and the test data are loaded into a machine learning model established based on the Xgboost algorithm, and the model is trained and tested; the prediction data is loaded into the trained model, and the electricity metering equipment fault analysis result is acquired . The method is advantaged in that accuracy of electricity metering equipment fault analysis can be improved, manpower resource cost is reduced, and efficiency is improved.
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Description

technical field

[0001] The invention relates to the technical field of power metering, in particular to a fault analysis method and device for power metering equipment. Background technique

[0002] In recent years, with the development of society, the demand for electricity for people's life and social production has been increasing, and the electricity data measured by electricity metering equipment has also shown explosive growth. The current situation of a large number of users and a large amount of metering data is a big challenge to the metering work of the power system. On the other hand, across the country, there are many faulty electric meters during the operation of hundreds of millions of electric meters. There are many types of faults in these meters, which will eventually affect the metering data and cause damage to the vital interests of users or power supply companies. Therefore, ensuring the safe and reliable operation of electricity metering equipment and ...

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Embodiment Construction

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0025] In the embodiment of the present invention, the fault analysis of electricity metering equipment based on machine learning decision tree uses data mining technology to analyze the data of electricity metering equipment failure, finds useful information hidden in the data, and iteratively analyzes the data through the model , and finally can accurately determine the failure of the electricity metering equipment. The embodiments of the present invention can timely and efficiently discover the failure of the electricity metering equipment, which is beneficial to t...