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

机器人 自动光学检测 Lift(数据挖掘) 计算机科学 缩放 可靠性(半导体) 人工智能 机器人学 自动X射线检查 磁道(磁盘驱动器) 实时计算 模拟 工程类 功率(物理) 图像处理 操作系统 数据挖掘 物理 图像(数学) 石油工程 量子力学 镜头(地质)
作者
Min Cheng,Dao Xiang
出处
期刊:Robotica [Cambridge University Press]
卷期号:38 (2): 185-206 被引量:15
标识
DOI:10.1017/s0263574719000559
摘要

Summary 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.
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