Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Research on the motion location of a substation inspection robot

Authors
Qiqi Zhao, Rong Liu, Ziwei Guo, Hao Zheng
Corresponding Author
Qiqi Zhao
Available Online May 2018.
DOI
10.2991/amcce-18.2018.39How to use a DOI?
Keywords
inspection robot; motion control; magnetic navigation; radio frequency identification; path planning
Abstract

A kind of inspection robot which can be applied to smart substation is introduced. Starting from the mechanical structure of mobile robot, the kinematics analysis model is established. Aiming at the characteristics of smart substation, a magnetic navigation system is designed, and the optimal path planning and two-way walking are realized by applying radio frequency identification. Autonomous or remote control can be used to make the robot detect the operation and discover abnormality of the substation equipment in time. The inspection robot can replace manual labor and become the main monitoring and testing tool for substations in the future.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
10.2991/amcce-18.2018.39How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qiqi Zhao
AU  - Rong Liu
AU  - Ziwei Guo
AU  - Hao Zheng
PY  - 2018/05
DA  - 2018/05
TI  - Research on the motion location of a substation inspection robot
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 216
EP  - 223
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.39
DO  - 10.2991/amcce-18.2018.39
ID  - Zhao2018/05
ER  -