E3S Web Conf.
Volume 243, 2021The 5th International Conference on Power, Energy and Mechanical Engineering (ICPEME 2021)
|Number of page(s)||4|
|Section||Mechanical Engineering and Industrial Automation|
|Published online||11 March 2021|
Research on GIS Monitoring System in Operation Based on Rail Robot
1 China Electric Power Research Institute, High Voltage Research Institute, 15 Xiaoying East Road, Qinghe, Haidian District, Beijing, China
2 Shaoxing Power Supply Branch, Zhejiang Electric Power Co., Ltd, 58 Shengli East Road, Yuecheng District, Shaoxing, China
3 Equipment Management Department, State Grid Corporation Limited, 86 West Chang'an Street, Xicheng District, Beijing, China
* Corresponding author:email@example.com
GIS is prone to various defects and faults after putting into operation, and the failure rate is high. At present, the inspection methods of GIS in operation include traditional inspection mode, two-dimensional code inspection mode, radio frequency identification technology mode and robot inspection mode. However, the current inspection robot has the disadvantages of weak adaptability to complex environment, insufficient inspection scope, low efficiency and low intelligence. Therefore, this paper designs a GIS monitoring system based on the rail robot. By installing all kinds of sensors on the rail robot, with the help of binocular vision and mechanical arm, the omni-directional live detection of GIS in transit can be realized.
© The Authors, published by EDP Sciences, 2021
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.