Development and Experiments of a Novel Deep-sea Resident ROV

Yunxiu Zhang, Qifeng Zhang, Aiqun Zhang, Yingzhe Sun, Zhen He
{"title":"Development and Experiments of a Novel Deep-sea Resident ROV","authors":"Yunxiu Zhang, Qifeng Zhang, Aiqun Zhang, Yingzhe Sun, Zhen He","doi":"10.1109/ICCRE51898.2021.9435653","DOIUrl":null,"url":null,"abstract":"It is extremely difficult and expensive to operate a traditional remotely operated vehicle (ROV) in the deep-sea. In this paper, a novel small-scale deep-sea resident ROV, called Rover ROV, is designed to conduct regional fine-sounding operations. The Rover ROV does not require a complicated Launch and Recovery System (LARS) equipped on a surface vessel, instead, the Rover ROV can be placed on a deep-sea lander and diving to the seafloor together. To ensure sufficient energy for the Rover ROV and meanwhile reduce the complexity of the conventional Tether Management System (TMS), a combined energy supply scheme based on floating charging technology is proposed. This power supply solution avoids relying solely on strong cables to provide power. To validating the maneuverability of the self-developed resident ROV and the effectiveness of the combined energy supply solution, Field experiments have been conducted in the South China Sea area with a depth of 3000 m. The results show that the developed small-scale resident ROV system can be operated in deep-sea high-power scenario, which verifies the higher reliability and longtime working capability of the proposed system.","PeriodicalId":382619,"journal":{"name":"2021 6th International Conference on Control and Robotics Engineering (ICCRE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Control and Robotics Engineering (ICCRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCRE51898.2021.9435653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

It is extremely difficult and expensive to operate a traditional remotely operated vehicle (ROV) in the deep-sea. In this paper, a novel small-scale deep-sea resident ROV, called Rover ROV, is designed to conduct regional fine-sounding operations. The Rover ROV does not require a complicated Launch and Recovery System (LARS) equipped on a surface vessel, instead, the Rover ROV can be placed on a deep-sea lander and diving to the seafloor together. To ensure sufficient energy for the Rover ROV and meanwhile reduce the complexity of the conventional Tether Management System (TMS), a combined energy supply scheme based on floating charging technology is proposed. This power supply solution avoids relying solely on strong cables to provide power. To validating the maneuverability of the self-developed resident ROV and the effectiveness of the combined energy supply solution, Field experiments have been conducted in the South China Sea area with a depth of 3000 m. The results show that the developed small-scale resident ROV system can be operated in deep-sea high-power scenario, which verifies the higher reliability and longtime working capability of the proposed system.
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
新型深海常驻ROV研制与试验
在深海中操作传统的遥控潜水器(ROV)是非常困难和昂贵的。本文设计了一种新型的小型深海常驻ROV——Rover ROV,用于区域精细测深作业。Rover ROV不需要在水面舰艇上装备复杂的发射和回收系统(LARS),相反,Rover ROV可以放置在深海着陆器上并一起潜入海底。为了保证ROV的能量供给,同时降低传统Tether管理系统(TMS)的复杂性,提出了一种基于浮式充电技术的联合供能方案。这种供电解决方案避免了完全依赖牢固的电缆供电。为验证自主开发的常驻ROV的可操作性和联合供能方案的有效性,在南海海域3000 m深度进行了现场试验。结果表明,所研制的小型常驻ROV系统可以在深海大功率场景下运行,验证了所提出系统具有较高的可靠性和长时间工作能力。
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
Multiagent Motion Planning Based on Deep Reinforcement Learning in Complex Environments Design of an Unconventional Bionic Quadruped Robot with Low-degree-freedom of Movement Action Recognition Method for Multi-joint Industrial Robots Based on End-arm Vibration and BP Neural Network Multi-Mission Planning of Service Robot Based on L-HMM Obstacle Avoidable G2-continuous Trajectory Generated with Clothoid Spline Solution
×
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