Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

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Comprehensive Analysis of Inspection Robot Technology and Application in Substation

Authors
Meixi Jin1, *, Yidan Tang2, Zhifan Wang3
1College of Mechanical and Electrical Engineering, Dalian Minzu University, Dalian City, Liaoning Province, 116000, China
2Cambridge International Exam Centre in Shanghai Experimental School, Shanghai City, Shanghai Province, 200000, China
3Nanjing No.1 Middle School, Nanjing City, Jiangsu Province, 210000, China
*Corresponding author. Email: rsilver54444@student.napavalley.edu
Corresponding Author
Meixi Jin
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_16How to use a DOI?
Keywords
intelligent inspection robot; substation intelligent inspection; computer vision; autonomous navigation; SLAM
Abstract

For the past few years, with the development of smart grid and Industry 4.0 concepts, global industrial development has continued to accelerate, followed by a substantial increase in the demand for electricity by users. As a result, there is a sharp rise in the number of electrical equipment and electrical places, which not only adds to the workload of inspection and maintenance staff but also leads to unsatisfactory industrial production efficiency. The emergence of intelligent inspection robots has solved this problem to a great extent. In this paper, the main technology and application of inspection robots in substations are summarized and analyzed comprehensively. In view of the current research history and development status in this field, the working principle, core technology, optimization measures, and development trend of substation inspection robots are studied and discussed. Based upon this, the future research and development direction is proposed with a summary discussion on the research status of substation inspection robots completed. This paper has certain guiding capabilities and reference values for the investigation of substation intelligent inspection robots.

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 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
10.2991/978-94-6463-370-2_16
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_16How 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  - Meixi Jin
AU  - Yidan Tang
AU  - Zhifan Wang
PY  - 2024
DA  - 2024/02/14
TI  - Comprehensive Analysis of Inspection Robot Technology and Application in Substation
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 136
EP  - 147
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_16
DO  - 10.2991/978-94-6463-370-2_16
ID  - Jin2024
ER  -