智能在线水产养殖系统研究,加强风力劳动

Muh. Anis Mustaghfirin, Priyambodo Nur Ardi Nugroho, Dwi Sasmita Aji Pambudi, Eky Novianarenti
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引用次数: 0

摘要

本文讨论了利用集成智能养殖系统开发用于虾池的桨轮曝气器以支持集约化的初步研究。成功安装了两台不同相位的桨轮曝气器。该测试是在两种不同类型的电机上进行的,旨在了解叶轮曝气器上每台电机的性能。单相电动机的速度值的比率为102rpm,三相电动机的速度数值的比率为110.3rpm。充气轮电机的性能观察数据可以通过智能手机使用网站应用程序查看。观测显示的数据以电压、电流、频率、功率、功率因数和风车电机产生的功率数据的形式出现。测试结果显示,曝气轮电机在正常条件下工作,平均测量误差为0.23%,低于0.5%的可接受误差极限。这项研究为国内开发智能水产养殖系统奠定了基础,该系统可用于支持印尼当地产业。
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Studi Pendahuluan Sistem Akuakultur Cerdas Berbasis Online Monitoring Terhadap Unjuk Kerja Kincir Aerasi
This article discusses a preliminary study of developing a paddlewheel aerator for shrimp ponds using an integrated intelligent aquaculture system to support intensification. Two paddlewheel aerators with different phases have been successfully installed. The test was carried out on two different types of motors, which were intended to comprehend the performance of every motor on a paddlewheel aerator. The ratio of the speed values for a single-phase motor was 102 rpm and for a 3-phase motor was 110.3 rpm. The data from the performance observation of the aeration wheel motor can be viewed via a smartphone using a website application. The data displayed from the observations are in the form of data on voltage, current, frequency, power, power factor, and the power generated by the pinwheel motor. The test results show the performance of the aeration wheel motor that works under normal conditions with an average measurement error of 0.23%, below the acceptable error limit of 0.5%. This research forms the basis for a smart aquaculture system that can be developed domestically to support local industries in Indonesia.
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自引率
0.00%
发文量
30
审稿时长
12 weeks
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