Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Research on the application key technology of AR technology in power simulation training

Authors
Chao Wen1, *, Xiaobo Qiu1, Yifeng Zhao1, Jiaheng Zou1, Qi Zheng1, Xiao Liang1, Xiaoyu Zhang1
1CSG POWER GENERATION CO., LTD MAINTENANCE AND TEST BRANCH, 511400, Guangzhou, China
*Corresponding author. Email: xfliu0102@163.com
Corresponding Author
Chao Wen
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_2How to use a DOI?
Keywords
AR technology; virtual simulation; training guidance
Abstract

AR virtual simulation technology is a comprehensive technology that integrates into multiple disciplines. It uses special intelligent equipment and computers as tools to dynamically analyze actual assumptions with the help of system models. Combining virtual simulation technology with power skills training is helpful to mobilize people’s senses and mind, improve learning ability, help power inspection personnel to quickly accept knowledge, and improve the efficiency of knowledge application. This paper combining with the key AR technology analyzes the power professional skills training and AR virtual simulation technology from three aspects of interaction, display and positioning, and explores the application of AR technology in power plant operations by analyzing the virtual technology simulating the operation process of workers means for worker training.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_2
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_2How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chao Wen
AU  - Xiaobo Qiu
AU  - Yifeng Zhao
AU  - Jiaheng Zou
AU  - Qi Zheng
AU  - Xiao Liang
AU  - Xiaoyu Zhang
PY  - 2023
DA  - 2023/09/28
TI  - Research on the application key technology of AR technology in power simulation training
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 4
EP  - 14
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_2
DO  - 10.2991/978-94-6463-264-4_2
ID  - Wen2023
ER  -