Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An intelligent electric 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 fields of electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as the inability to accurately predict the life cycle of smart meters

Active Publication Date: 2019-04-09
WUHAN UNIV
View PDF8 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An intelligent electric meter life cycle prediction method and device based on correlation coefficient analysis
  • An intelligent electric meter life cycle prediction method and device based on correlation coefficient analysis
  • An intelligent electric meter life cycle prediction method and device based on correlation coefficient analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] This embodiment provides a smart meter life cycle prediction method based on correlation coefficient analysis, please refer to figure 1 , the method includes:

[0072] First execute step S1: calculate and verify the periodic correlation among the three factors of the unit, the meter manufacturer, and the cause of the failure, where the specific periodic correlation is: μ' and σ' represent the mean value and variance of the service life of each meter corresponding to the same meter manufacturer in different units with the same fault cause.

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

Embodiment 2

[0112] This embodiment provides a smart meter life cycle prediction method and device based on correlation coefficient analysis, please refer to image 3 , the device consists of:

[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 cause of the failure, wherein the specific periodic correlation is: 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 fault cause and different units;

[0114] The model construction module 302 is used to construct a smart meter life cycle prediction model according to the cycle correlation, 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) represents the mi...

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 , on which a computer program 411 is stored, and the method in Embodiment 1 is implemented when the program is executed.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an intelligent electric meter life cycle prediction method and device based on correlation coefficient analysis. According to the smart electric meter life cycle prediction method based on correlation coefficient analysis, a unit influence factor, a manufacturer influence factor and a fault type influence factor are taken as main parameters, and a neural network algorithm istaken as parameter training assistance. The method comprises the following steps: firstly, calculating periodic correlation of three factors, namely a verification unit, an electric meter manufacturer and a fault reason; Then a prediction model of the predicted replacement period of the electric meter is obtained, and values of each item appearing in the model are initialized; a weight is iteratively searched and determined by adopting a heuristic method, and correcting is performed by using a weight updating mode based on a neural network algorithm; Finally, an early warning model is designed. The technical effects of accurate prediction of the life cycle of the intelligent electric meter and 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 an intelligent electric meter based on correlation coefficient analysis. Background technique [0002] The smart energy meter is a new type of energy meter that has been widely popularized in the application layer of life in recent years. With the construction of "smart grid" and advanced metering infrastructure (AMI) and the advancement of related technologies worldwide, smart meters as their basic components and core equipment are attracting a large number of meter manufacturers. Smart meters need to have high reliability and long service life under normal conditions, and be able to work continuously and uninterruptedly under unattended conditions. [0003] In order to effectively manage smart meters and maintain national electric energy, it is very important to be able to accurately predict and estim...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/50
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com