An Intelligent Quality Control Method for Manufacturing Processes Based on a Human-Cyber-Physical Knowledge Graph

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外文摘要：Quality management is a constant and significant concern in enterprises.Effective determination of cor-rect solutions for comprehensive problems helps avoid increased backtesting costs.This study proposes an intelligent quality control method for manufacturing processes based on a human-cyber-physical(HCP)knowledge graph,which is a systematic method that encompasses the following elements:data management and classification based on HCP ternary data,HCP ontology construction,knowledge extrac-tion for constructing an HCP knowledge graph,and comprehensive application of quality control based on HCP knowledge.The proposed method implements case retrieval,automatic analysis,and assisted decision making based on an HCP knowledge graph,enabling quality monitoring,inspection,diagnosis,and maintenance strategies for quality control.In practical applications,the proposed modular and hier-archical HCP ontology exhibits significant superiority in terms of shareability and reusability of the acquired knowledge.Moreover,the HCP knowledge graph deeply integrates the provided HCP data and effectively supports comprehensive decision making.The proposed method was implemented in cases involving an automotive production line and a gear manufacturing process,and the effectiveness of the method was verified by the application system deployed.Furthermore,the proposed method can be extended to other manufacturing process quality control tasks.

外文关键词：

Quality controlHuman-cyber-physical ternary dataKnowledge graph

作者：

Shilong Wang、Jinhan Yang、Bo Yang、Dong Li、Ling Kang

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作者单位：

State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing 400044,China

College of Mathematics and Statistics,Chongqing University,Chongqing 400044,China

基金：

National Science and Technology Innovation 2030 of China Next-Generation Artificial Intelligence Major ProjectNational Natural Science Foundation of ChinaRegional Innovation Cooperation Project of Sichuan Province

项目编号：

2018AAA0101800523754822023YFQ0019

出版年：

2024

DOI：

10.1016/j.eng.2024.03.022

工程(英文)

CSTPCDEI

ISSN：2095-8099

年,卷(期)：2024.41(10)