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Industrial Metaverse for Smart Manufacturing: Model, Architecture, and Applications
Beihang University, School of Automation Science and Electrical Engineering, Beijing, China; State Key Laboratory of Intelligent Manufacturing Systems Technology, Beijing, China; Zhongguancun Laboratory, Beijing, China.
Beihang University, School of Automation Science and Electrical Engineering, Beijing, China; State Key Laboratory of Intelligent Manufacturing Systems Technology, Beijing, China.
Beihang University, School of Automation Science and Electrical Engineering, Beijing, China; State Key Laboratory of Intelligent Manufacturing Systems Technology, Beijing, China.
Beihang University, School of Automation Science and Electrical Engineering, Beijing, China; State Key Laboratory of Intelligent Manufacturing Systems Technology, Beijing, China; Zhongguancun Laboratory, Beijing, China.
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2024 (English)In: IEEE Transactions on Cybernetics, ISSN 2168-2267, E-ISSN 2168-2275, Vol. 54, no 5, p. 2683-2695Article in journal (Refereed) Published
Abstract [en]

Smart manufacturing has been transforming toward industrial digitalization integrated with various advanced technologies. Metaverse has been evolving as a next-generation paradigm of a digital space extended and augmented by reality. In the metaverse, users are interconnected for various virtual activities. In consideration of advanced possibilities that may be brought by the metaverse, it is envisioned that industrial metaverse should be integrated into smart manufacturing to upgrade industry for more visible, intelligent and efficient production in the future. Therefore, a conceptual model, named IMverse Model, and novel characteristics of the industrial metaverse for smart manufacturing are proposed in this article. Besides, an industrial metaverse architecture, named IMverse Architecture, is proposed involving several key enabling technologies. Typical innovative applications of the industrial metaverse throughout the whole product life cycle for smart manufacturing are presented with insights. Nonetheless, in prospect of future, the industrial metaverse still faces limitations and is far from implementation. Thus, challenges and open issues of the industrial metaverse for smart manufacturing are discussed, then outlook is provided for further research and application.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. Vol. 54, no 5, p. 2683-2695
Keywords [en]
Cloud manufacturing, cyber-physical-social system, digital twin (DT), industrial big model, industrial metaverse, metaverse, smart manufacturing
National Category
Computer Systems Computer Engineering Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-366901DOI: 10.1109/TCYB.2024.3372591ISI: 001189542700001PubMedID: 38512748Scopus ID: 2-s2.0-85188916768OAI: oai:DiVA.org:kth-366901DiVA, id: diva2:1983474
Note

QC 20250711

Available from: 2025-07-11 Created: 2025-07-11 Last updated: 2025-07-11Bibliographically approved

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Wang, Lihui

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