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ParaViewWeb architecture method of power security emergency drill platform based on VR technology

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Abstract

In order to improve the proficiency and response ability of emergency command and rescue personnel at all levels on emergency responsibilities and processes, and reduce casualties and property losses caused by emergencies, a ParaViewWeb architecture method of power security emergency drill platform based on VR technology is proposed to improve the actual completion of the drill. Using the scalability of ParaViewWeb architecture, a power security emergency drill platform based on VR technology is built. In the platform, the self-learning algorithm for power safety emergency drills based on big data and deep learning is used to manage power data. Based on the processed data, three-dimensional scenes, mathematical models and pre-plan reasoning are established through VR technology, and gesture recognition algorithms are used to realize man–machine interaction; according to the 3D drill scenario based on VR technology, the message distribution mechanism, emergency drill mechanism and drill execution mechanism in the emergency drill platform is built to complete the power security emergency drill. The experimental results show that this method has high accuracy in character gesture recognition, can increase the purpose of message transmission, reduce the overhead waste and unnecessary transmission hopes of information transmission, and save the time of message transmission; the actual completion of the drill is very close to the expected completion, and the integrity of the emergency drill is high.

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Authors and Affiliations

  1. School of Management, Wuhan University of Technology, Wuhan, 430070, China

    Shaohua Zhang

  2. State Grid Ningxia Electric Power Co. Ltd., Yinchuan, 750001, China

    Shaohua Zhang

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  1. Shaohua Zhang
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Correspondence to Shaohua Zhang.

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Zhang, S. ParaViewWeb architecture method of power security emergency drill platform based on VR technology. Multimed Tools Appl 83, 6447–6467 (2024). https://doi.org/10.1007/s11042-023-15934-5

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