Digital twin system for manufacturing processes based on a multi-layer knowledge graph model

doi:10.1038/s41598-024-85053-0

	Digital twin system for manufacturing processes based on a multi-layer knowledge graph model
	Su, Chang 1,2; Tang, Xin 3,4; Jiang, Qi 1,2; Han, Yong 1,2; Wang, Tao 1,2; Jiang, Dongsheng 5
	2025-04-14
发表期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
卷号	15 期号:1 页码:14
摘要	Digital twin technology in the manufacturing process faces challenges like integrating diverse data sources and managing real-time data flow. To address this, we propose a novel three-layer knowledge graph architecture to enhance digital twin modeling for manufacturing processes. This architecture consists of a concept layer that structures key information into a knowledge network, a model layer that aligns digital and physical parameters, and a decision layer that leverages model and real-time data for decision support. Validated in aero-engine blade production, this system integrates multi-source data, enhances predictive analysis and anomaly detection, and supports process control and quality management. Over a 5-month validation period, the maximum contour error precision of the blades improved from 0.073 mm to 0.062 mm, and the product qualification rate increased from 81.3% to 85.2%. This demonstrates the system's robust capability for advancing digital twin utilization in manufacturing, highlighting its potential for future improvements.
关键词	Digital twin Knowledge graph Intelligent manufacturing Data integration Manufacturing process management Decision support
DOI	10.1038/s41598-024-85053-0
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2020YFB1710401]
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001466916100021
出版者	NATURE PORTFOLIO
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40595
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 410000, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Su, Chang,Tang, Xin,Jiang, Qi,et al. Digital twin system for manufacturing processes based on a multi-layer knowledge graph model[J]. SCIENTIFIC REPORTS,2025,15(1):14.
APA	Su, Chang,Tang, Xin,Jiang, Qi,Han, Yong,Wang, Tao,&Jiang, Dongsheng.(2025).Digital twin system for manufacturing processes based on a multi-layer knowledge graph model.SCIENTIFIC REPORTS,15(1),14.
MLA	Su, Chang,et al."Digital twin system for manufacturing processes based on a multi-layer knowledge graph model".SCIENTIFIC REPORTS 15.1(2025):14.