基于事物的基于水和自动饲料的对虾池的原型(很多)

I. Gunawan, Muhamad Sadali, Muhammad Wasil, Imam Fathurrahman
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引用次数: 1

摘要

在对虾池水质的所有参数中,酸度(pH)和温度的影响最为重要。pH值的测定通常是由操作员使用pH计进行手动和周期性测量,以及进料过程,这仍然是手动完成的,这当然会发生在进料过程中,而不是。因此,研究人员设计了一种可以监测酸度(pH)和温度的工具,并利用互联网自动制作虾池饲料播撒器。使用连接的智能软件和系统利用传感器收集的数据,使用物联网(IOT)技术方法和使用blynk应用平台控制自动化。这项研究产生了一个原型控制系统,并根据预定的时间表自动监测水温、pH含量和鱼饲料控制等相关数据。
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Prototipe Alat Kontrol Kualitas Air Dan Penebar Pakan Otomatis Pada Tambak Udang Berbasis Internet Of Things (IOT)
Among all parameters of shrimp pond water quality, the degree of acidity (pH) and temperature play the most important role. Determination of the pH value is usually done by means of manual and periodic measurements by the operator using a pH meter, as well as the feeding process which is still done manually, which of course will occur in the process of feeding that is not. Therefore, the researchers designed a tool that can monitor the degree of acidity (pH) and temperature and make a shrimp pond feed spreader automatically using the internet. The use of connected intelligent software and systems to utilize data collected by sensors using the Internet of Things (IOT) technology approach and control automation using the blynk application platform. This research resulted in a prototype control system and monitoring data related to water temperature, pH content and control of fish feed automatically according to a predetermined time schedule.
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