Paper
23 August 2023 Electric power training simulation platform based on virtual reality technology
Jianlong Guo, Qingyun Zhou, Shan Xiong, Hongpo Liu, Shuang Xia, Ruishi Su
Author Affiliations +
Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127842S (2023) https://doi.org/10.1117/12.2691838
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
Most of the conventional electric power training simulation platforms are designed based on the structural principle of BP neural network. Their software performance is limited and the platform test pass rate is low, which cannot provide good support for electric power training. To solve this problem, a new electric power training simulation platform is designed by introducing virtual reality technology. The platform adopts B/S hardware architecture, which provides basic guarantee for the stable operation of hardware equipment. Through immersive power training environment modeling, power operation drill module design, and building platform training scene library based on virtual reality technology, the platform software design was completed. According to the test results, after the application of the new platform, the test pass rate of each project has reached more than 95%, which is highly feasible.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianlong Guo, Qingyun Zhou, Shan Xiong, Hongpo Liu, Shuang Xia, and Ruishi Su "Electric power training simulation platform based on virtual reality technology", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127842S (23 August 2023); https://doi.org/10.1117/12.2691838
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KEYWORDS
Education and training

Virtual reality

3D modeling

Computer simulations

Design and modelling

Data modeling

Circuit switching

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