生活在边缘-船舶和海洋设备远程监控的新范例

K. Rau
{"title":"生活在边缘-船舶和海洋设备远程监控的新范例","authors":"K. Rau","doi":"10.3940/rina.mi.2019.02","DOIUrl":null,"url":null,"abstract":"Adoption of Internet of Things (IoT) technologies in the marine industry is accelerating and the applications result in a vast amount of data to be processed. By deploying edge computing, independent and autonomous decisions can be made by vessels and remote marine assets without relying on constant communication with servers on shore or in the cloud. This paper proposes a system architecture that enables condition monitoring of remote marine assets with higher performance, improved latency and reduced total cost of ownership.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LIVING ON THE EDGE – A NEW PARADIGM FOR REMOTE MONITORING OF VESSELS AND MARINE EQUIPMENT\",\"authors\":\"K. Rau\",\"doi\":\"10.3940/rina.mi.2019.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adoption of Internet of Things (IoT) technologies in the marine industry is accelerating and the applications result in a vast amount of data to be processed. By deploying edge computing, independent and autonomous decisions can be made by vessels and remote marine assets without relying on constant communication with servers on shore or in the cloud. This paper proposes a system architecture that enables condition monitoring of remote marine assets with higher performance, improved latency and reduced total cost of ownership.\",\"PeriodicalId\":249358,\"journal\":{\"name\":\"Internationnal Conference on Marine Industry 4.0\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internationnal Conference on Marine Industry 4.0\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3940/rina.mi.2019.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internationnal Conference on Marine Industry 4.0","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3940/rina.mi.2019.02","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

物联网(IoT)技术在海洋工业中的应用正在加速,其应用导致需要处理大量数据。通过部署边缘计算,船舶和远程海上资产可以独立自主地做出决策,而无需依赖于与岸上或云端服务器的持续通信。本文提出了一种系统架构,使远程海上资产的状态监测具有更高的性能,改进的延迟和降低的总拥有成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LIVING ON THE EDGE – A NEW PARADIGM FOR REMOTE MONITORING OF VESSELS AND MARINE EQUIPMENT
Adoption of Internet of Things (IoT) technologies in the marine industry is accelerating and the applications result in a vast amount of data to be processed. By deploying edge computing, independent and autonomous decisions can be made by vessels and remote marine assets without relying on constant communication with servers on shore or in the cloud. This paper proposes a system architecture that enables condition monitoring of remote marine assets with higher performance, improved latency and reduced total cost of ownership.
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