Abstract
The industrial metaverse is a vertical application of metaverse technology in the industrial sector, which reshapes the production and manufacturing mode and industrial ecology. With the rise of Industry 5.0, the concept of human-centric smart manufacturing has gradually gained attention. The development of the industrial metaverse focusing on human-centric smart manufacturing has realized the deep integration of the two emerging concepts and has shown great research value and potential. Therefore, a digital twin modeling and distributed virtual collaboration method of human-centric smart manufacturing system in the context of industrial metauniverse is proposed. The aim is to address the challenges of rapid customization of human digital twin models and efficient collaboration among multi-human in a virtual space. A metamodel-based method for the rapid customization of human digital twins is developed, and virtual-real mapping and dynamic interaction between humans and their digital twins are realized with machine vision, which lays the foundation for the industrial metaverse. Next, a multi-human collaboration method for the metaverse space is proposed and a server-client distributed access framework is established to realize the integration and interaction of multi-human digital twins, which provides support for multi-person remote, real-time online, and effective collaboration. Finally, the effectiveness of the proposed approach is validated through a dual-human collaborative loading and unloading scenario in a human-centric smart manufacturing system.
| Translated title of the contribution | Digital Twin Modeling and Distributed Virtual Collaboration Method of Human-centric Smart Manufacturing System in the Context of Industrial Metauniverse |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 385-398 |
| Number of pages | 14 |
| Journal | Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering |
| Volume | 61 |
| Issue number | 15 |
| DOIs | |
| Publication status | Published - 5 Aug 2025 |
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