Research on power VR training mode based on multi-person collaborative technology

Li-hui Zhang

doi:10.1117/12.2670395

1 June 2023 Research on power VR training mode based on multi-person collaborative technology

Li-hui Zhang

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126250O (2023) https://doi.org/10.1117/12.2670395
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

With the rapid development of social economy and information technology, the role of VR technology in power safety production is becoming more and more obvious. According to the analysis of the technical research results of scholars around the world in recent years, it can be seen that the training mode of electric power enterprises with VR technology as the core has been attached importance to the development of the industry, and has been comprehensively promoted in practice. In order to better meet the demand of each department personnel training, can let users of the system and the interaction between virtual customers a wide range of behavior, some scholars based on synergy technology put forward many new power VR training model, it can reduce unnecessary loss of resources, cost control system, and can promote education training speed, enhancing the employees of collaborative interaction. Therefore, on the basis of understanding VR technology theory and characteristics, this paper conducts an empirical analysis on the existing power VR simulation training multi-person collaborative platform according to the development status of VR technology and multi-person collaborative technology. The final results show that this platform design not only meets the current development needs of power enterprises, but also can provide more excellent talents for industry innovation.

Citation Download Citation

Li-hui Zhang "Research on power VR training mode based on multi-person collaborative technology", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126250O (1 June 2023); https://doi.org/10.1117/12.2670395

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