Intelligent electric energy meter service life prediction method based on Weibull distribution curve

A Weibull distribution, smart energy meter technology, applied in the field of electric energy meters, can solve problems such as low accuracy and slow life prediction speed of electric energy meters, and achieve the effects of fast reliability life, wide practical value, and accurate prediction.

Pending Publication Date: 2022-06-10
国网河北省电力有限公司营销服务中心 +1
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Problems solved by technology

[0003] The purpose of the present invention is to provide a life prediction method for smart electric energy meters based on the Weibull distribution curve, so as to solve the technical problems of slow speed and low accuracy in the life prediction of electric energy meters in the prior art

Method used

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  • Intelligent electric energy meter service life prediction method based on Weibull distribution curve
  • Intelligent electric energy meter service life prediction method based on Weibull distribution curve
  • Intelligent electric energy meter service life prediction method based on Weibull distribution curve

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specific Embodiment

[0059] average value

[0060] Factors that affect the average include usage time and word count, and a linear model and an exponential model were established for comparison.

[0061] The linear model is f(x)=p1x+p2, where f(x) is the mean.

[0062] When x is the usage time, p1=5.347e-005, p2=-0.0347, the sum variance (SSE) after fitting is 10.09, and the coefficient of determination (R-square) is 0.7283.

[0063] When x is the number of words taken, p1=4.146e-006, p2=0.01119, the sum variance (SSE) after fitting is 21.18, and the coefficient of determination (R-square) is 0.4297.

[0064] The exponential model is f(x)=ae (bx) , where f(x) is the mean.

[0065] When x is the usage time, a=0.004282, b=0.001445, the sum variance (SSE) after fitting is 14.4, and the coefficient of determination (R-square) is 0.6123.

[0066] When x is the number of words taken, a=0.01871, b=7.705e-005, the sum variance (SSE) after fitting is 25.51, and the coefficient of determination (R-squar...

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Abstract

The invention provides an intelligent electric energy meter service life prediction method based on a Weibull distribution curve, which belongs to the technical field of electric energy meters and comprises the steps of sampling data analysis, model analysis and average value and standard deviation calculation. Target data in analysis are selected, and incomplete data are filtered and screened to be removed; obtaining a cover opening record in a use process by reading a record of the electric energy meter, and further establishing a mathematical model of a relationship among error change, a word number and use time; and finally, comparing the initial error data and the used error data of the electric energy meter, establishing a mathematical model for the change of the average value and the variance, and drawing a Weibull distribution curve of the fault rate and the service life of the electric energy meter. According to the intelligent electric energy meter service life prediction method based on the Weibull distribution curve, the reliable service life of the electric energy meter can be rapidly and accurately predicted, and the method has wide practical value for improving lean management of the intelligent electric energy meter.

Description

technical field [0001] The invention belongs to the technical field of electric energy meters, and more particularly relates to a life prediction method for smart electric energy meters based on Weibull distribution curves. Background technique [0002] As a measuring instrument for settlement between electric power companies and individual users, the service life of electric energy meters needs to be predicted to ensure that users can use them normally. At present, there are some foreign prediction methods or software for the life of instruments or electronic devices, but the life prediction speed is slow and the accuracy is low. SUMMARY OF THE INVENTION [0003] The purpose of the present invention is to provide a method for predicting the life of a smart electric energy meter based on a Weibull distribution curve, so as to solve the technical problems in the prior art that the life prediction speed of the electric energy meter is slow and the accuracy is low. [0004] ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F119/04
CPCG06F30/20G06F2119/04
Inventor 李兵王浩吴一敌李鹏李翀何炳哲王毅王锦腾
Owner 国网河北省电力有限公司营销服务中心
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