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A smart meter life cycle prediction method and device based on correlation coefficient analysis

A technology of correlation coefficient analysis and life cycle, which is applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as the inability to accurately predict the life cycle of smart meters, and achieve the effect of improving accuracy

Active Publication Date: 2022-07-05
WUHAN UNIV
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Problems solved by technology

[0005] In view of this, the present invention provides a method and device for predicting the life cycle of smart meters based on correlation coefficient analysis, to solve or at least partly solve the technical problem that the life cycle of smart meters cannot be accurately predicted in the prior art

Method used

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  • A smart meter life cycle prediction method and device based on correlation coefficient analysis
  • A smart meter life cycle prediction method and device based on correlation coefficient analysis
  • A smart meter life cycle prediction method and device based on correlation coefficient analysis

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Embodiment 1

[0071] This embodiment provides a method for predicting the life cycle of a smart meter based on correlation coefficient analysis, see figure 1 , the method includes:

[0072] First perform step S1: calculate and verify the periodic correlation between the three factors of the unit, the meter manufacturer, and the cause of the failure, where the periodic correlation is specifically: μ' and σ' respectively represent the average value and variance of the life of each meter corresponding to the same meter manufacturer in the same units with different failure causes.

[0073] Specifically, correlation coefficient analysis is a statistical analysis method that studies the correlation between two or more random variables in the same status. For example, the correlation between human height and weight; the correlation between relative humidity in the air and rainfall are all problems of correlation analysis research. Correlation analysis can be applied to various fields such as in...

Embodiment 2

[0112] This embodiment provides a method and device for predicting the life cycle of a smart meter based on correlation coefficient analysis. Please refer to image 3 , the device includes:

[0113] The calculation and verification module 301 is used to calculate and verify the periodic correlation between the three factors of the unit, the meter manufacturer, and the fault cause, wherein the periodic correlation is specifically: μ' and σ' respectively represent the average value and variance of the life of each meter corresponding to the same meter manufacturer in the same units with different failure causes;

[0114] The model building module 302 is configured to build a life cycle prediction model of the smart meter according to the cycle correlation, and the prediction model is specifically:

[0115]

[0116] Among them, M represents the total number of meter manufacturers, N represents the total number of fault causes, W represents the total number of units, min(M, N...

Embodiment 3

[0138] Based on the same inventive concept, the present application also provides a computer-readable storage medium 400, please refer to Figure 4 , a computer program 411 is stored thereon, and the method in the first embodiment is implemented when the program is executed.

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Abstract

The invention provides a method and device for predicting the life cycle of a smart meter based on correlation coefficient analysis. The main parameters of the smart meter life cycle prediction method based on correlation coefficient analysis are based on the unit influence factor, the manufacturer's influence factor and the fault type influence factor, And the neural network algorithm is used as a parameter training aid. The process of the method is as follows: first, calculate the periodic correlation of the three factors of the verification unit, the meter manufacturer, and the cause of the failure; then obtain the prediction model of the predicted replacement cycle of the electric meter, and initialize the values ​​of the items in the model; then use the heuristic method The weight is determined by iterative search, and the update weight method based on the neural network algorithm is used for correction; finally, the early warning model is designed. Accurate prediction of the life cycle of smart meters and the technical effect of replacement early warning are achieved.

Description

technical field [0001] The invention relates to the technical field of data mining in computer science, in particular to a method and device for predicting the life cycle of a smart meter based on correlation coefficient analysis. Background technique [0002] Smart energy meter is a new type of electricity meter that has been widely popularized in the life application layer in recent years. With the worldwide construction of "smart grid" and advanced metering infrastructure (AMI) and the advancement of related technologies, smart meters as their basic components and core equipment are attracting a large number of meter manufacturers. Smart meters require high reliability and long life under normal conditions, as well as the ability to operate continuously and unattended in unattended conditions. [0003] In order to effectively manage smart meters and maintain national electrical energy, it is very important to be able to accurately predict and estimate the life characteri...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/00
CPCG06F30/20
Inventor 刘金硕刘必为李瞧杨广益李扬眉李晨曦田浩翔柳凯谢志国冯阔严鸿昌
Owner WUHAN UNIV
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