超高压变电站自动采油机器人系统的设计

Yingke Mao, Jianmin Wu, Zhengyi Zhu, Yong Zhou, Jia Chen, Min Zhao, Yiming Huang, Jianjun Yuan
{"title":"超高压变电站自动采油机器人系统的设计","authors":"Yingke Mao, Jianmin Wu, Zhengyi Zhu, Yong Zhou, Jia Chen, Min Zhao, Yiming Huang, Jianjun Yuan","doi":"10.1109/RCAR54675.2022.9872250","DOIUrl":null,"url":null,"abstract":"The transformer oil, which plays an insulating role, will deteriorate due to the long-term work of the transformer, thus reducing the insulation performance. Therefore, it’s important to conduct regular sampling and inspection of the transformer oil The transformers in the substation are widely distributed which makes manual sampling time-consuming and costly. An autonomous oil sampling robot system is designed for ultra-high voltage (UHV) substations to address the problem. The system mainly includes mobile platform, underlying control module, autonomous navigation module, robot arm grasping module and target identification module. After completing the development of the above modules, the autonomous oil sampling robot system can complete autonomous movement and sampling in the UHV substation. The system’s repeat positioning accuracy of navigation is about 12cm, and the detection and recognition rate of key objects is about 99.96%, which can be widely used in the task of talking oil samples in UHV substations.","PeriodicalId":304963,"journal":{"name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of an autonomous robot system for oil sampling in ultra-high voltage substation\",\"authors\":\"Yingke Mao, Jianmin Wu, Zhengyi Zhu, Yong Zhou, Jia Chen, Min Zhao, Yiming Huang, Jianjun Yuan\",\"doi\":\"10.1109/RCAR54675.2022.9872250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The transformer oil, which plays an insulating role, will deteriorate due to the long-term work of the transformer, thus reducing the insulation performance. Therefore, it’s important to conduct regular sampling and inspection of the transformer oil The transformers in the substation are widely distributed which makes manual sampling time-consuming and costly. An autonomous oil sampling robot system is designed for ultra-high voltage (UHV) substations to address the problem. The system mainly includes mobile platform, underlying control module, autonomous navigation module, robot arm grasping module and target identification module. After completing the development of the above modules, the autonomous oil sampling robot system can complete autonomous movement and sampling in the UHV substation. The system’s repeat positioning accuracy of navigation is about 12cm, and the detection and recognition rate of key objects is about 99.96%, which can be widely used in the task of talking oil samples in UHV substations.\",\"PeriodicalId\":304963,\"journal\":{\"name\":\"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCAR54675.2022.9872250\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR54675.2022.9872250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

起绝缘作用的变压器油,由于变压器长期工作,会变质,从而降低绝缘性能。因此,定期对变压器油进行取样和检查十分重要。变电站变压器分布广泛,人工取样耗时长,成本高。为解决这一问题,设计了一种针对特高压变电站的自动采油机器人系统。该系统主要包括移动平台、底层控制模块、自主导航模块、机械臂抓取模块和目标识别模块。在完成上述模块的开发后,自主采油机器人系统可以在特高压变电站内完成自主移动和采样。该系统的导航重复定位精度约为12cm,对关键目标的检测识别率约为99.96%,可广泛应用于特高压变电站的油样通话任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of an autonomous robot system for oil sampling in ultra-high voltage substation
The transformer oil, which plays an insulating role, will deteriorate due to the long-term work of the transformer, thus reducing the insulation performance. Therefore, it’s important to conduct regular sampling and inspection of the transformer oil The transformers in the substation are widely distributed which makes manual sampling time-consuming and costly. An autonomous oil sampling robot system is designed for ultra-high voltage (UHV) substations to address the problem. The system mainly includes mobile platform, underlying control module, autonomous navigation module, robot arm grasping module and target identification module. After completing the development of the above modules, the autonomous oil sampling robot system can complete autonomous movement and sampling in the UHV substation. The system’s repeat positioning accuracy of navigation is about 12cm, and the detection and recognition rate of key objects is about 99.96%, which can be widely used in the task of talking oil samples in UHV substations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信