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

Improved product quality abnormal data FP-Growth correlation analysis method

A correlation analysis and product quality technology, applied in data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve the problem of lack of in-depth data analysis and data mining for data and quality inspection data, and insufficient production data Use and other issues

Pending Publication Date: 2019-10-08
FUDAN UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most large-scale manufacturing enterprises have successively realized the automation and informatization of production, and accumulated a large amount of production data in the production and manufacturing process, but these precious production data have not been fully utilized
The production process data and quality inspection data of each link of the product lack in-depth data analysis and data mining

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
  • Improved product quality abnormal data FP-Growth correlation analysis method
  • Improved product quality abnormal data FP-Growth correlation analysis method
  • Improved product quality abnormal data FP-Growth correlation analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in further detail below in conjunction with the implementation examples.

[0047] 1. Improvement of the FP-Tree data structure in the FP-Growth algorithm: When executing the FP-Tree construction algorithm, the optimized item header table is used to avoid cumbersome loop traversal operations, and the specific execution is performed according to the code in Appendix 2.

[0048] 2. Improvement of FP-Growth algorithm parallelization strategy:

[0049] In the second step, first, through flatMap conversion, each transaction in the transaction set is converted into the form of , where key represents the transaction, and the value of value is set to 1. On this basis, use the reduceByKey operation to make the key value the same The values ​​of all elements are summed to obtain a data set stored in the format of , named Trans; again use flatMap to split the key of Trans into Shard the data, and then use the reduceByKey conversion to sum t...

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 belongs to the technical field of industrial big data, and particularly relates to an improved product quality abnormal data FP-Growth correlation analysis method. The main content of the method of the invention comprises the product quality abnormal data association analysis characterized in that the multi-factor association analysis is carried out on the product production qualityand the production process data, a series of association rules are mined based on a multi-factor association analysis algorithm, the potential problems of some indexes in the quality data are found, and the factors causing product quality abnormal influences are conveniently positioned; the FP-Tree data structure improvement characterized in that a field tail _ Link is newly added on the basis ofan FP-Tree frequent item header table, and the current last node of each data item is recorded, so that the repeated traversal linked list operation when a new node is inserted is avoided, and the FP-Tree tree building efficiency is improved; the improvement of the parallelization strategy of the FP-Growth association algorithm characterized in that an FP-Growth algorithm mining frequent mode is executed parallelly on each transaction set group to break through the original mode of firstly building a tree and then parallelizing, so that the calculation efficiency of each node in the parallelization execution is improved.

Description

technical field [0001] The invention belongs to the technical field of industrial big data, and in particular relates to an FP-Growth correlation analysis method for abnormal product quality data. Background technique [0002] The "big data era" we live in is an intelligent era that has been upgraded and evolved from the information age. The "big data era" is no longer limited to information sharing, but more focused on the intelligent application of information. In this era, data is no longer a worthless "by-product" of social production; on the contrary, data has become a renewable and valuable means of production. Massive data contains massive amounts of information and hides huge value. Through the analysis and mining of data, not only can the existing phenomena be described and explained in depth, but even the future can be predicted. Big data has penetrated into all aspects of people's lives, endowing people's lives with more intelligence and convenience. [0003] M...

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): G06F16/2458G06Q10/06G06Q50/04
CPCG06F16/2465G06Q10/06395G06Q50/04Y02P90/30
Inventor 李敏波丁铎
Owner FUDAN 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