Li, Hao, Wang, Haoqi, Liu, Gen, Wang, Junling, Evans, Steve, Li, Linli, Wang, Xiaocong, Zhang, Shuai ORCID: 0000-0002-9796-058X , Wen, Xiaoyu, Nie, Fuquan, Wang, Xinchang, Hao, Bing, Jiang, Wei and Liu, Yongguang (2021) The concept, structure and mechanism of industrial digital twin systems. Computer Integrated Manufacturing Systems, 27 (12):001. pp. 3373-3390. ISSN 1006-5911 (doi:https://doi.org/10.13196/j.cims.2021.12.001)

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Abstract

Digital twin was originally and firstly researched in manufacturing, and is now widely and maturely used for application in industries. Recent theoretical studies and technical applications mainly focus on the definition of the digital twin, the integration of design and manufacture based on digital twin, and the fault diagnosis and operation maintenance of products on the basis of the digital twin. There are very few studies on the characteristics, system composition, logical architecture, and system operation mode of digital twin systems applied on industrial products. To fill the gap above, this paper proposes the concept of industrial Digital Twin System (iDTS) and summarizes the typical characteristics of iDTS, based on the comparison of different types of digital twin systems, including people-centered thinking, "human-machine-environment" mutual fusion, high fidelity of the system and complexity of twin model. iDTS integrates these characteristics with the functional structure composed of physical layer, perception layer, twin layer, application layer, and control layer. In addition, the maturity model of iDTS is developed to describe the maturity stage of iDTS, along with the life cycle progress of products or systems. Lastly, this paper analyzes four iDTS operation modes and verifies the feasibility of the proposed iDTS with typical cases for specific industrial application scenarios.

Item Type:	Article
Uncontrolled Keywords:	Intelligent manufacturing, industrial digital twin system, maturity model, functional structure, operating mode
Subjects:	H Social Sciences > H Social Sciences (General)
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy
Related URLs:	Publisher
Last Modified:	03 Mar 2022 08:23
URI:	http://gala.gre.ac.uk/id/eprint/35345

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