Overview of the Development Status and Path Planning Technology of Power Inspection Robots

Tao Wang; Zhibin Li

doi:10.54691/sjt.v4i5.753

Authors

Tao Wang
Zhibin Li

DOI:

https://doi.org/10.54691/sjt.v4i5.753

Keywords:

The Substation Inspection Robots; Path Planning Method.

Abstract

The substation is an important part of the transmission and transformation process of the power system, however, the traditional manual inspection of substation equipment will inevitably lead to some problems. With the development of intelligence in various fields in China, substation inspection robots will gradually replace manual inspection, and the article collates and analyzes the current situation of domestic and foreign research on power inspection robots, and analyzes the principle of the robot path planning method to facilitate the reference of readers engaged in research in related fields.

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References

Gage D W. UGV History 101: A brief history of unmanned ground vehicle (UGV) Development efforts[J]. Unmanned Systems, 1995, 13:9--32.

Gong Qinhui. Review of research on intelligent inspection robots in substations [J]. Shandong Electric Power Technology, 2015(2):56-61.

Lu S, Zhang Y, Su J. Mobile robot for power substation inspection: a survey[J]. IEEE/CAA Journal ofAutomaticaSinica,2017,4(4): 830-847.DOI:10.1109/JAS.2017.7510364.

Lu S, Qian Q, Zhang B, etal. Development of a Mobile Robot for Substation Equipment Inspection [J].Dianli Xitong Zidonghua, 2013, 30(13): 94-98.

Guo R, Li B, Sun Y, etal. A patrol robot for electric power substation[C]. Proc. of the International Conference on Mechatronics and Automation (ICMA), 2009: 5-59.

Wang BK, Chen GK. National first orbital substation inspection robot test run [EB/OL]. (2012-01-31) [2018-12-20].

Qin Liansheng. Chongqing 500 kV substation equipment robot inspection system put into trial operation in mid-September [EB/OL]]. (2010-09-01) [2018-12-20].

Zhao Rongqi. Research on robot path planning based on artificial potential field method [D]. Jinan:Shandong University, 2011.

Pei-Pei Zhou. Research on robot path planning algorithm in unknown environment [D]. Qingdao: Qingdao University of Science and Technology, 2014: 3-40.