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A Mining Method of Association Rules Oriented to Battery Production Data

A technology for producing data and batteries, applied in other database retrieval, other database query, special data processing applications, etc., can solve the problems of low mining efficiency and low accuracy

Active Publication Date: 2021-07-06
WUHAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of this, the present invention provides a method for mining association rules oriented to battery production data, to solve or at least partially solve the technical problems of low mining efficiency and low accuracy in existing methods in the prior art

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  • A Mining Method of Association Rules Oriented to Battery Production Data
  • A Mining Method of Association Rules Oriented to Battery Production Data
  • A Mining Method of Association Rules Oriented to Battery Production Data

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Embodiment 1

[0040] The invention provides a reliable data source for data analysis by analyzing each process in the battery production process and analyzing the practical significance of important process data of each process. Combining the characteristics of the battery production process data and the defects of the classic Apriori algorithm, mining the relationship between the production data and the battery qualification rate in the battery industrial automation production, a mining method for the association rules of the battery automation industrial production is proposed, that is, the improved The latter Apriori algorithm (Association rule algorithm for battery automation industrial production) is referred to as BI_Apriori algorithm for short. The BI_Apriori algorithm improves the classic Apriori algorithm from three aspects: (1) reduce the number of database mining, (2) reduce the number of candidate sets, (3) take the battery qualification rate parameter as the mining target, and r...

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Abstract

The invention discloses an association rule mining method for battery production data. First, the battery production data is stored; and the support degree and confidence degree of each item set are calculated to generate a first candidate set, and then according to all items in the first candidate set The relationship between the support degree of the itemset and the preset support degree and the relationship between the confidence degree of all itemsets and the preset reliability degree generate the first frequent itemset; Connect to generate the second candidate set, and further generate the second frequent item set; then sort each item in the second frequent item set to generate the third candidate set, perform the connection step, and keep the third candidate set containing the battery qualification rate parameter Gather, and finally perform the pruning step. Loop in turn, and end when no new frequent itemsets can be generated, and output all association rules related to the battery qualification rate and satisfying the conditions. The invention realizes the technical effects of improving mining efficiency and making mining results more relevant.

Description

technical field [0001] The invention relates to the technical field of data mining in battery automation industrial production, in particular to a method for mining association rules oriented to battery production data. Background technique [0002] With the rise of smart phones and new energy vehicles, the demand for lithium batteries in domestic and foreign markets has been stimulated. China has become the world's largest lithium battery manufacturing base, the second largest lithium battery producer and exporter. In order to reduce production costs, improve product quality and production efficiency, and ensure production safety and product consistency, battery manufacturers have introduced automated production lines into the lithium battery production process. In the automatic production process, a large amount of production process data and sensor status data are collected. From these data, potential domain knowledge and process parameter data related to production qual...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/903G06F16/904G06F16/906
CPCG06F16/903G06F16/904G06F16/906
Inventor 周宁周建新乔梦诗
Owner WUHAN UNIV OF TECH