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A LoRaWAN Network Infrastructure for the Remote Monitoring of Offshore Sea Farms

机译:洛拉瓦网络基础设施,用于离岸海洋农场的远程监控

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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.
机译:如今,养鱼养殖是一家全球食品行业的关键部门。虽然过去30年来捕获的鱼类产量的总量几乎不变(根据美国的食品和农业组织(粮农组织)约为90亿吨),但在同一时间的时间里,繁殖鱼类的数量增加十倍,几乎达到捕获的数量。什么又一点超过手工制作的生产,现在是一个实际的工业部门,在世界各地雇用约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(物联网)技术的引入,从而在行业4.0的背景下采用它们来优化鱼类农业过程。在这方面,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,用于近海海洋农场的远程实时控制。拟议的架构利用Lorawan网络基础设施进行数据传输:在该字段上测试了不同的配置,从而在最坏情况下,在最坏的情况下,在最坏的情况下,可以在最坏的情况下抵达8.33km距离距离。提出了一个完整的实时监控系统,允许实时测量关于鱼笼中的水质量的几个参数以及它们的维护状态。

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