E3S Web Conf.
Volume 185, 20202020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|Number of page(s)||8|
|Section||Energy Engineering and Power System|
|Published online||01 September 2020|
Design of AR Inspection System for Protection Equipment of Intelligent Substation
1 National Engineering Research Center of System Simulation Technical Application in Economy, Beijing, 100854, People’s Republic of China
2 Dept. Computer Science and Technology, Tsinghua University, Beijing, 100084, People’s Republic of China ;
3 Aerospace Yinshan Electric Co., Ltd, Zhuhai, Guangdong , 519040, People’s Republic of China
According to the requirements of on-site inspection for protection equipment in intelligent substation, combined with spatial anchor, an AR inspection system with man in the loop and virtual reality integration is proposed based on the augmented reality technology. The overall design is carried out from multiple dimensions such as system architecture, business functions, business processes and network topology, and the technical methods and key technology implementation methods such as target recognition, spatial positioning, and near-eye display are elaborated in detail, the implementation of inspection task is verified by field application from macro and micro scales. The system realizes the enhanced display of real equipment in physical space and various equipment status, monitoring data, operation and maintenance information in virtual space, assists personnel to carry out inspection activities such as inspection route navigation, equipment location, inspection operation and process record, improves the patrol quality, efficiency and upgrade methods, it has important application value.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.