Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Navigation of Substation Inspection Robot Based on Machine Vision

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  • @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
Chunfeng Fan1, Zhiyong Zhu1,*, Weilong Chen1, Kai Qin1, Haimei Huang1, Zhuang Huang1
  • 1: Laibin Power Supply Bureau of Guangxi Power Grid Co., Ltd, Laibin, 519000, GuangXi, China
*Contact email: yongwang0222@126.com

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.