Application research of mixed reality technology in maintenance tasks of pumped storage power station

Jiafei Huan; Xinjie Guo; Hailong Ren; Fang Du

doi:10.1117/12.3054960

11 December 2024 Application research of mixed reality technology in maintenance tasks of pumped storage power station

Jiafei Huan, Xinjie Guo, Hailong Ren, Fang Du

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134451C (2024) https://doi.org/10.1117/12.3054960
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

With the growth of global energy demand and the improvement of environmental protection awareness, the efficiency and safety of the maintenance of pumped storage power station as a key component of the power system is particularly important. This paper deeply discusses the application of mixed reality technology in the maintenance task of pumped storage power station, aiming at improving the modernization and intelligence level of maintenance work. By analyzing the existing maintenance process and combining with the characteristics of MR technology, this paper proposes a set of MR-based maintenance process optimization scheme, including remote fault diagnosis, remote maintenance assistance, auxiliary maintenance training and maintenance safety education. The results show that the application of MR technology significantly improves the maintenance efficiency, reduces the cost, and enhances the training effect, which has an important impact on the safe and stable operation of the power plant and the reliability and economy of the power system.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiafei Huan, Xinjie Guo, Hailong Ren, and Fang Du "Application research of mixed reality technology in maintenance tasks of pumped storage power station", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134451C (11 December 2024); https://doi.org/10.1117/12.3054960

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