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

基于人-信息-物理知识图谱的智能制造过程质量控制方法

作　　者：Shilong Wang Jinhan Yang Bo Yang Dong Li Ling Kang 

机构地区：[1]State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing 400044,China [2]College of Mathematics and Statistics,Chongqing University,Chongqing 400044,China

出　　处：《Engineering》2024年第10期242-260,共19页工程（英文）

基　　金：supported by the National Science and Technology Innovation 2030 of China Next-Generation Artificial Intelligence Major Project(2018AAA0101800);the National Natural Science Foundation of China(52375482);the Regional Innovation Cooperation Project of Sichuan Province(2023YFQ0019).

摘　　要：Quality management is a constant and significant concern in enterprises.Effective determination of correct 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 extraction 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 hierarchical 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.

关 键 词：Quality control Human-cyber-physical ternary data Knowledge graph 

分 类 号：TH16[机械工程—机械制造及自动化]