Research Article
Navigation of Substation Inspection Robot Based on Machine Vision
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342732, author={Chunfeng Fan and Zhiyong Zhu and Weilong Chen and Kai Qin and Haimei Huang and Zhuang Huang}, title={Navigation of Substation Inspection Robot Based on Machine Vision}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={substation inspection machine vision robot navigation cluster analysis}, doi={10.4108/eai.17-11-2023.2342732} }- Chunfeng Fan
Zhiyong Zhu
Weilong Chen
Kai Qin
Haimei Huang
Zhuang Huang
Year: 2024
Navigation of Substation Inspection Robot Based on Machine Vision
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342732
Abstract
The research on robot navigation of substation inspection based on machine vision has important background significance. The purpose of this study is to evaluate and optimize the application effect of machine vision in the navigation of substation inspection robot. The experimental data show that the navigation system based on machine vision achieves 92.5% navigation accuracy and 85.2% navigation accuracy in environment A, which provides strong support for improving the efficiency and safety of substation inspection. In addition, it is found that the navigation accuracy drops to 76.4% and 64.9% in the case of sensor failure, so it is necessary to further improve the sensor system. Machine vision navigation technology has great potential in substation inspection robot, which is worthy of in-depth research and application.