Aquaponic growbed siphon water flow status acquisition and control using fog server
Aquaponic growbed siphon water flow status acquisition and control using fog server
复制标题
利用雾服务器进行鱼菜共生生长床虹吸水流状态采集与控制
DOI：
10.1109/micc.2017.8311763
复制
发表时间：
2017
期刊：
影响因子：
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通讯作者：
Sazali Mahmud
中科院分区：
文献类型：
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作者：
M. A. Romli;S. Daud;P. E. Kan;Z. A. Ahmad;Sazali Mahmud
物联网（IoT）使数据能够在云中上传和聚合。许多类型的数据将在云中可用，包括垃圾。云数据通常充当历史。基于云数据的即时反应几乎是不可能的，因为交付不是基于实时的。雾服务器作为设备和云之间的一层引入。服务器可以根据收集的实时数据作为决策中心作出反应。它还能够提供分析并相应地指导相关设备。现代水产养殖需要涉及连续的、真实的时间的电子数据采集和装置。参数相当数量和更新周期各不相同-有些是每天的，有些是经常的。通过实现雾服务器，只有选定的数据将被上传到云，相关的大量数据仍然在雾服务器。通过这样做，可以通过查看云数据来进行表面水平分析。如果触发了错误的条件，用户可以直接进入雾服务器进行进一步分析，并立即执行相关操作。鱼菜共生，从综合多营养水产养殖（IMTA）类，需要水质和流量控制。本文将展示如何使用雾服务器调节鱼菜共生中的水控制。
Internet of Thing (IoT) enables data to be uploaded and aggregated in cloud. Many type of data will be available in the cloud including rubbish. Cloud data normally acts as history. It will be almost impossible to react instantly based on the cloud data since the delivery not based on real-time. Fog server introduced as a layer between device and the cloud. The server can react as the decision center based on the gathered real-time data. It also has the capability to provide analysis and instruct the related devices accordingly. Modern aquaculture need to involve continuous and real time electronic data acquisition and device. The parameter quite numbers and the update period vary — some daily based and some quite often. By implementing fog server, only selected data will be uploaded to the cloud and related vast number of data remains in the fog server. By doing this, surface level analysis can be done by looking at the cloud data. If there is something wrong condition triggered, user directly goes to fog server to do further analysis and related action can be done immediately. Aquaponics, from Integrated MultiTrophic Aquaculture (IMTA) class, requires water quality and flow control. This paper will show how to regulate water control in aquaponic growbed using fog server.