Smart IoT-Based Aquarium Monitoring System on Anabas Testudineus Habitat using NodeMcu and Blynk Platform

Abdul Rahman Mohamad Soleh, N. Sulaiman, Murizah Kassim
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引用次数: 1

Abstract

In today’s world, many Internets of Things (IoT) system has been developed in the agriculture sector, especially in fish breeding. Anabas Testudineus (Puyu fish) is one of the favorite aquatic creatures that have been bred for commercials used and needs to be handled carefully for their healthier life habitats. Aquarium’s water becomes unclean due to the reproduction of algae, waste from the fish, the palette, and others. Hence, a Smart IoT-Based Aquarium Monitoring System for Anabas Testudineus (AMSAT) has been designed and deployed to ensure that the water in the aquarium is safe and clean for Anabas Testudineus breeding. NodeMCU controller was used and connected to pH and temperature sensors with an embedded Wi-Fi module built into the microcontroller allows the smartphone to connect with the cloud for real-time data collection. The Liquid Crystal Display (LCD) and Lighting Emitting Diode (LED) are connected to view information on the water condition. Arduino software (IDE) is used to generate code while the Blynk data analytic platform will presents analyzed data via a smartphone. Four tests were done to measure the pH level after feeding the fish with and without a water filter in 2 and 3 days. Results present the pH value has dropped the lowest for Test 2 at 5.66 pH value compared to 7.17, 7.31, and 7.06 after feeding the fish for 2 days and with filters. This system has been successfully viewed and monitored in real-time via Blynk mobile apps on the pH and temperature levels. This research is significant for Anabas Testudineus breeders that support the agriculture sector for recent technology deployment.
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基于NodeMcu和Blynk平台的Testudineus栖息地智能物联网水族监测系统
当今世界,许多物联网(IoT)系统已经在农业部门,特别是在鱼类养殖中得到了发展。鲶鱼是最受欢迎的水生生物之一,被用于商业用途,需要小心处理,以确保它们更健康的生活栖息地。由于藻类的繁殖、鱼类的废物、调色板和其他因素,水族馆的水变得不干净。因此,我们设计并部署了基于智能物联网的Testudineus水族箱监测系统(AMSAT),以确保水族箱内的水安全和清洁,以供Testudineus繁殖。采用NodeMCU控制器,通过内置在微控制器中的嵌入式Wi-Fi模块连接pH值和温度传感器,使智能手机能够与云连接以进行实时数据收集。液晶显示器(LCD)和发光二极管(LED)相连,可以查看水况信息。使用Arduino软件(IDE)生成代码,而Blynk数据分析平台将通过智能手机呈现分析数据。分别在2天和3天内进行了4次试验,以测定饲喂和不饲喂滤水器后的pH值。结果显示,试验2的pH值下降最低,为5.66,而喂食鱼2天后,pH值为7.17,7.31和7.06。该系统已成功地通过Blynk移动应用程序实时查看和监测pH和温度水平。这项研究对支持农业部门最新技术部署的龙鸡育种者具有重要意义。
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