Development and implement of an inspection robot for power substation

Haojie Zhang, Bo Su, Haiping Song, W. Xiong
{"title":"Development and implement of an inspection robot for power substation","authors":"Haojie Zhang, Bo Su, Haiping Song, W. Xiong","doi":"10.1109/IVS.2015.7225673","DOIUrl":null,"url":null,"abstract":"Along with the development demand of intelligent power substation, mobile robot is implemented to serve power substations. The robot is equipped with inspecting sensors, such as CCD camera and thermal infrared imager which are together referred to as workload. These inspecting sensors are used to detect the environment parameters e.g. reading meter, measuring temperature etc., inside the substation. However, due to the strong electromagnetic interference inside substation, accurate localization of the workload and inspection robot is still a difficult problem to be solved. Existing methods solve the problem by paving magnetic strips or rail. However, in this way, the working area of the robot is limited by the paved infrastructures. In this paper, an inspection robot system is developed for working in substation. In the proposed system, the localization of the robot is realized using adaptive Monte-Carlo localization based on the known environment model. A visual servo system is designed to realize the high accuracy localization of the workload. The proposed robot system should guarantee to obtain fine inspecting results of equipments in substation.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2015.7225673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

Along with the development demand of intelligent power substation, mobile robot is implemented to serve power substations. The robot is equipped with inspecting sensors, such as CCD camera and thermal infrared imager which are together referred to as workload. These inspecting sensors are used to detect the environment parameters e.g. reading meter, measuring temperature etc., inside the substation. However, due to the strong electromagnetic interference inside substation, accurate localization of the workload and inspection robot is still a difficult problem to be solved. Existing methods solve the problem by paving magnetic strips or rail. However, in this way, the working area of the robot is limited by the paved infrastructures. In this paper, an inspection robot system is developed for working in substation. In the proposed system, the localization of the robot is realized using adaptive Monte-Carlo localization based on the known environment model. A visual servo system is designed to realize the high accuracy localization of the workload. The proposed robot system should guarantee to obtain fine inspecting results of equipments in substation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
变电站巡检机器人的研制与实现
随着智能化变电站的发展需求,实现了移动机器人为变电站服务。机器人配备了检测传感器,如CCD相机和热红外成像仪,这些传感器统称为工作负载。这些检测传感器用于检测变电站内部的环境参数,如抄表、测温等。然而,由于变电站内部存在较强的电磁干扰,对工作量和巡检机器人的准确定位仍然是一个亟待解决的难题。现有的方法是通过铺设磁条或轨道来解决问题。然而,这样一来,机器人的工作区域受到铺设的基础设施的限制。本文研制了一种变电站巡检机器人系统。在该系统中,基于已知的环境模型,采用自适应蒙特卡罗定位方法实现机器人的定位。为实现工作负载的高精度定位,设计了视觉伺服系统。所提出的机器人系统应能保证对变电站设备进行良好的巡检。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimal parameter selection of a Model Predictive Control algorithm for energy efficient driving of heavy duty vehicles Map free lane following based on low-cost laser scanner for near future autonomous service vehicle Real-time small obstacle detection on highways using compressive RBM road reconstruction Developing a framework of Eco-Approach and Departure application for actuated signal control Face orientation estimation for driver monitoring with a single depth camera
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1