用于近海海洋养殖场远程监测的LoRaWAN网络基础设施

Lorenzo Parri, Stefano Parrino, G. Peruzzi, A. Pozzebon
{"title":"用于近海海洋养殖场远程监测的LoRaWAN网络基础设施","authors":"Lorenzo Parri, Stefano Parrino, G. Peruzzi, A. Pozzebon","doi":"10.1109/I2MTC43012.2020.9128370","DOIUrl":null,"url":null,"abstract":"Fish farming is nowadays a crucial sector for food industry all around the world. While the total amount of captured fish production has remained almost constant in the last 30 years (around 90 millions tonnes according to the Food and Agriculture Organization (FAO) of the United States), in the same span of time the quantity of bred fish has increased tenfold, almost reaching the quantity of the captured one. What was once little more than a hand-crafted production, is now an actual industrial sector, employing around 60 million workers all around the world. Like all industrial sectors, aquaculture can considerably benefit by the introduction of Internet of Things (IoT) technologies, thus adopting them within the context of Industry 4.0 to optimize fish farming processes. In this context, this paper proposes a real-time monitoring infrastructure based on the use of Fixed Nodes and Mobile Sinks for the remote, real-time control of offshore sea farms. The proposed architecture exploits a LoRaWAN network infrastructure for data transmission: different configurations are tested on the field, proving the reliability of the communication channel in a worst case scenario up to a 8.33 km offshore distance. A complete real-time monitoring system is presented, allowing to measure in real time several parameters about the quality of water in the fish cages as well as their maintenance status.","PeriodicalId":227967,"journal":{"name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"146 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A LoRaWAN Network Infrastructure for the Remote Monitoring of Offshore Sea Farms\",\"authors\":\"Lorenzo Parri, Stefano Parrino, G. Peruzzi, A. Pozzebon\",\"doi\":\"10.1109/I2MTC43012.2020.9128370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fish farming is nowadays a crucial sector for food industry all around the world. While the total amount of captured fish production has remained almost constant in the last 30 years (around 90 millions tonnes according to the Food and Agriculture Organization (FAO) of the United States), in the same span of time the quantity of bred fish has increased tenfold, almost reaching the quantity of the captured one. What was once little more than a hand-crafted production, is now an actual industrial sector, employing around 60 million workers all around the world. Like all industrial sectors, aquaculture can considerably benefit by the introduction of Internet of Things (IoT) technologies, thus adopting them within the context of Industry 4.0 to optimize fish farming processes. In this context, this paper proposes a real-time monitoring infrastructure based on the use of Fixed Nodes and Mobile Sinks for the remote, real-time control of offshore sea farms. The proposed architecture exploits a LoRaWAN network infrastructure for data transmission: different configurations are tested on the field, proving the reliability of the communication channel in a worst case scenario up to a 8.33 km offshore distance. A complete real-time monitoring system is presented, allowing to measure in real time several parameters about the quality of water in the fish cages as well as their maintenance status.\",\"PeriodicalId\":227967,\"journal\":{\"name\":\"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)\",\"volume\":\"146 11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2MTC43012.2020.9128370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC43012.2020.9128370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

摘要

如今,养鱼是世界各地食品工业的一个重要部门。虽然在过去30年中捕获的鱼类生产总量几乎保持不变(根据美国粮食及农业组织(粮农组织)的数据约为9千万吨),但在同一时间段内,养殖鱼类的数量增加了10倍,几乎达到捕获鱼类的数量。曾经仅仅是手工制作的产品,现在是一个真正的工业部门,在世界各地雇佣了大约6000万工人。与所有工业部门一样,水产养殖可以通过引入物联网(IoT)技术而受益匪浅,从而在工业4.0的背景下采用这些技术来优化养鱼流程。在此背景下,本文提出了一种基于使用固定节点和移动汇的实时监控基础设施,用于远程实时控制近海海洋农场。提出的架构利用LoRaWAN网络基础设施进行数据传输:在现场测试了不同的配置,证明了通信通道在最坏情况下的可靠性,最远可达8.33公里的海上距离。提出了一个完整的实时监测系统,可以实时测量鱼网箱内水质的几个参数及其维护状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A LoRaWAN Network Infrastructure for the Remote Monitoring of Offshore Sea Farms
Fish farming is nowadays a crucial sector for food industry all around the world. While the total amount of captured fish production has remained almost constant in the last 30 years (around 90 millions tonnes according to the Food and Agriculture Organization (FAO) of the United States), in the same span of time the quantity of bred fish has increased tenfold, almost reaching the quantity of the captured one. What was once little more than a hand-crafted production, is now an actual industrial sector, employing around 60 million workers all around the world. Like all industrial sectors, aquaculture can considerably benefit by the introduction of Internet of Things (IoT) technologies, thus adopting them within the context of Industry 4.0 to optimize fish farming processes. In this context, this paper proposes a real-time monitoring infrastructure based on the use of Fixed Nodes and Mobile Sinks for the remote, real-time control of offshore sea farms. The proposed architecture exploits a LoRaWAN network infrastructure for data transmission: different configurations are tested on the field, proving the reliability of the communication channel in a worst case scenario up to a 8.33 km offshore distance. A complete real-time monitoring system is presented, allowing to measure in real time several parameters about the quality of water in the fish cages as well as their maintenance status.
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