Cognitive digital twin in manufacturing process: integrating the knowledge graph for enhanced human-centric Industry 5.0

doi:10.1080/00207543.2024.2435583

	Cognitive digital twin in manufacturing process: integrating the knowledge graph for enhanced human-centric Industry 5.0
	Su, Chang 1,2; Tang, Xin 3,4; Han, Yong 1,2; Wang, Tao 1,2; Jiang, Dongsheng 5
	2024-12-03
发表期刊	INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
ISSN	0020-7543
页码	22
摘要	Industry 5.0 emphasises human-centric intelligent manufacturing, posing challenges in integrating human expertise with advanced machine capabilities. To address these challenges, a novel three-layer cognitive digital twin model based on knowledge graphs is proposed, designed to integrate workers' knowledge and experience into intelligent manufacturing processes. This model comprises three layers: an ontology layer that constructs a foundational process knowledge ontology library; a knowledge layer that maps real-time data to dynamically update digital models; and a cognitive layer that utilises machine learning, knowledge reasoning, and knowledge mining for advanced analysis, state understanding, and model evolution. The model promotes user interaction through intuitive interfaces and a Q&A system, leveraging techniques such as knowledge reasoning and querying to support decision-making and enhance worker engagement. Validated through a system implemented for aero-engine blade production, this cognitive digital twin model leverages human expertise and machine capabilities to enhance process control, quality management, and overall efficiency. The proposed approach demonstrates significant potential for advancing personalised human-machine interaction in manufacturing, truly embodying the value of a human-centric approach and paving the way for future developments in the field.
关键词	Cognitive digital twin knowledge graph intelligent manufacturing Industry 5.0 human-machine collaboration decision support Cognitive digital twin knowledge graph intelligent manufacturing Industry 5.0 human-machine collaboration decision support
DOI	10.1080/00207543.2024.2435583
收录类别	SCI
语种	英语
资助项目	Shandong Provincial Key Research and Development Program[2022SFGC0601]
WOS研究方向	Engineering ; Operations Research & Management Science
WOS类目	Engineering, Industrial ; Engineering, Manufacturing ; Operations Research & Management Science
WOS记录号	WOS:001371110200001
出版者	TAYLOR & FRANCIS LTD
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/41121
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Han, Yong
作者单位	1.Ocean Univ China, Dept Informat Sci & Engn, Qingdao 266100, Peoples R China 2.Qingdao Marine Sci & Technol Ctr, Lab Reg Oceanog & Numercial Modeling, Qingdao, Peoples R China 3.North China Elect Power Univ, Control & Comp Engn, Beijing 102206, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 5.AECC South Ind Co Ltd, Zhuzhou City, Peoples R China
推荐引用方式 GB/T 7714	Su, Chang,Tang, Xin,Han, Yong,et al. Cognitive digital twin in manufacturing process: integrating the knowledge graph for enhanced human-centric Industry 5.0[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2024:22.
APA	Su, Chang,Tang, Xin,Han, Yong,Wang, Tao,&Jiang, Dongsheng.(2024).Cognitive digital twin in manufacturing process: integrating the knowledge graph for enhanced human-centric Industry 5.0.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,22.
MLA	Su, Chang,et al."Cognitive digital twin in manufacturing process: integrating the knowledge graph for enhanced human-centric Industry 5.0".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2024):22.