Research on Rapid Metaverse Generation Technology of Industrial Tools for Intelligent Manufacturing Training Based on Industrial Metaverse
Industrial Metaverse plays an increasingly important role in Intelligent Manufacturing Training, improving the user immersion as well as reducing the cost and risks in training. As essential factor in live manufacturing, industrial tools like welding torch or hammer are frequently used but lack of rapid generation and convenient interaction in Industrial Metaverse. The NeuS algorithm based Metaverse Generation of industrial tools is researched, which combines the Self-Attention module to effectively distinguish simple industrial tools from the confusing factory background full of industrial equipment. Moreover, parallel processing of the generation tasks is proposed to improve the rapidity. The application of Rapid Metaverse Generation is finally demonstrated in the industrial metaverse of the intelligent manufacturing training through the homemade industrial tools dataset.
Authors
- Yalan Xing (ORCID: https://orcid.org/0000-0003-1176-9969)
- Gang Wu (ORCID: https://orcid.org/0000-0001-6558-3508)
- Congying Wu (ORCID: https://orcid.org/0000-0002-3223-7884)
- Jingyu Zhu (ORCID: https://orcid.org/0000-0002-6219-3405)
- Nanjiang Chen (ORCID: https://orcid.org/0009-0003-2473-5028)
- Li Tan (ORCID: https://orcid.org/0000-0001-5133-405X)
- Weining Song (ORCID: https://orcid.org/0000-0003-2052-3880)
- Wenjun Zhang (ORCID: https://orcid.org/0000-0001-8799-1182)
- Yue Wang (ORCID: https://orcid.org/0000-0002-7265-6186)
- Xianghui Meng (ORCID: https://orcid.org/0000-0003-1630-7560)
- Jin Guo
- Qi Wang (ORCID: https://orcid.org/0000-0002-1556-2167)
Institutions
- Nanchang University (CN)
- East China University of Technology (CN)
- Beihang University (CN)
Publication Details
- Published
- 2024-12-02
- DOI
- https://doi.org/10.1109/swc62898.2024.00339
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00