The Design and Application of a Track-type Autonomous Inspection Robot for Electrical Distribution Room

被引:13
作者
Cheng, Min [1 ]
Xiang, Dao [2 ]
机构
[1] Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230026, Anhui, Peoples R China
[2] Yijiahe Technol Co Ltd, R&D Ctr, Nanjing 210012, Jiangsu, Peoples R China
关键词
Electrical distribution room; Autonomous equipment inspection; Track-type robot; Image recognition; Partial discharge detection; MOBILE ROBOTS; ENVIRONMENTS; NAVIGATION;
D O I
10.1017/S0263574719000559
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Electrical distribution equipment inspection is crucial for the electric power industry. With the rapid increase in the number of electrical distribution rooms, an unattended inspection method, for example, autonomous inspection robot, is eagerly desired by the industry to make up for the deficiencies of traditional manual inspection in effectiveness and validity. Existing inspection robots designed for indoor substations are generally lack of practicality, due to the factors such as inspection requirements and robot weight. To bridge the gap between prototype and practicality, in this work, we design the first completely autonomous robotic system, LongSword, which provides a satisfying technical solution for equipment inspection with an optical zoom camera, a thermal imaging camera or a partial discharge detector. Firstly, we design a novel and flexible hardware architecture which allows the robot to move, lift, and rotate in the station to reach any desired position. Secondly, we develop an intelligent software framework which consists of several modules to achieve accurate equipment recognition and reliable failure diagnosis. Thirdly, we achieve an apposite integration of the existing technologies to implement an applicable robotic system that can fulfill the requirements of indoor equipment inspection. There are over 200 LongSwords currently serving about 160 electrical distribution rooms, some of which have been working for more than 1 year. The average precision of device status recognition is up to 99.70%, and the average inspection time of a single device is as short as 13.5 s. The feedback from workers shows that LongSword can significantly improve the efficiency and reliability of equipment inspection, which accelerates the process of setting up unmanned stations.
引用
收藏
页码:185 / 206
页数:22
相关论文
共 45 条
[1]  
Allan J.F., 2014, P 2014 3 INT C APPL, P1, DOI DOI 10.1109/CARPI.2014.7030049
[2]  
[Anonymous], 1997, ARTIFICIAL NEURAL NE
[3]  
[Anonymous], ADV NEURAL INFORM PR
[4]  
[Anonymous], INT J COMPUT APPL
[5]  
[Anonymous], IOP C SERIES EARTH E
[6]  
[Anonymous], HIGH VOLTAGE APPARAT
[7]  
[Anonymous], 2017, Int. J. Rough Sets Data Anal., DOI 10.4018/ijrsda.2017070105
[8]  
Aracil R., 1995, ESMO-95 Proceedings. Seventh International Conference on Transmission and Distribution Construction and Live Line Maintenance (Cat. No.95CH35755), P205, DOI 10.1109/TDCLLM.1995.485058
[9]   SURF: Speeded up robust features [J].
Bay, Herbert ;
Tuytelaars, Tinne ;
Van Gool, Luc .
COMPUTER VISION - ECCV 2006 , PT 1, PROCEEDINGS, 2006, 3951 :404-417
[10]   Visual navigation for mobile robots: A survey [J].
Bonin-Font, Francisco ;
Ortiz, Alberto ;
Oliver, Gabriel .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2008, 53 (03) :263-296