Luo Weichao, Huang Keke, Liang Xiaojun, Ren Hao, Zhou Nan, Zhang Chaobo, Yang Chunhua, Gui Weihua
IEEE Trans Cybern. 2024 Nov;54(11):6679-6692. doi: 10.1109/TCYB.2024.3420958. Epub 2024 Oct 30.
The intelligent goal of process manufacturing is to achieve high efficiency and greening of the entire production. Whereas the information system it used is functionally independent, resulting to knowledge gaps between each level. Decision-making still requires lots of knowledge workers making manually. The industrial metaverse is a necessary means to bridge the knowledge gaps by sharing and collaborative decision-making. Considering the safety and stability requirements of the process manufacturing, this article conducts a thorough survey on the process manufacturing intelligence empowered by industrial metaverse. First, it analyzes the current status and challenges of process manufacturing intelligence, and then summarizes the latest developments about key enabling technologies of industrial metaverse, such as interconnection technologies, artificial intelligence, cloud-edge computing, digital twin (DT), immersive interaction, and blockchain technology. On this basis, taking into account the characteristics of process manufacturing, a construction approach and architecture for the process industrial metaverse is proposed: a virtual-real fused industrial metaverse construction method that combines DTs with physical avatar, which can effectively ensure the safety of metaverse's application in industrial scenarios. Finally, we conducted preliminary exploration and research, to prove the feasibility of proposed method.
流程制造的智能目标是实现整个生产过程的高效化和绿色化。然而,其使用的信息系统在功能上是独立的,导致各层级之间存在知识差距。决策仍需要大量知识工作者手动完成。工业元宇宙是通过共享和协作决策来弥合知识差距的必要手段。考虑到流程制造的安全和稳定性要求,本文对工业元宇宙赋能的流程制造智能进行了全面调研。首先,分析了流程制造智能的现状和挑战,然后总结了工业元宇宙关键使能技术的最新进展,如互联技术、人工智能、云边计算、数字孪生(DT)、沉浸式交互和区块链技术。在此基础上,结合流程制造的特点,提出了流程工业元宇宙的构建方法和架构:一种将数字孪生与物理化身相结合的虚实融合工业元宇宙构建方法,可有效确保元宇宙在工业场景中应用的安全性。最后,进行了初步的探索和研究,以证明所提方法的可行性。