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Research on Intelligent Manufacturing Training System Based on Industrial Metaverse

  • Yuqi Zhou,
  • Tan Li,
  • Bohu Li,
  • Gang Wu,
  • Xianghui Meng,
  • Jin Guo,
  • Nengwen Wan,
  • Jingyu Zhu,
  • Shimei Li,
  • Weining Song,
  • Chunhui Su,
  • Nanjiang Chen,
  • Yalan Xing,
  • Qi Wang,
  • Yanwen Lin,
  • Runqiang Li

摘要

Skilled human resource becomes an essential resource for implementing intelligent manufacturing in the new era, prompting high demands on Intelligent Manufacturing Training (IMT). Empowering the effective IMT, the new mode of IMT based on Industrial Metaverse is proposed as well as detailed comparison with traditional training modes. The layered technical architecture is discussed as a guidance for training system construction, as well as specific solutions for the six key technologies based on primary research, including rapid modeling, natural interaction, real-time communication, industrial avatar/agent, industrial tools access, industrial AIGC, etc. Verifying the effectiveness of Industrial Metaverse based IMT, a prototype system “TrAiN” for industrial internet skill training is built, constructing a private Industrial Metaverse based on specific industrial equipment and fields in certain factory, facilitating the virtual training. Future research hotspots on Industrial Metaverse based IMT are prospected at the end based on the primary research and application.