DEVELOPMENT AND EVALUATION OF AN IoT-BASED PORTABLE WATER QUALITY MONITORING SYSTEM FOR AQUACULTURE

IF 0.6 Q4 AGRICULTURAL ENGINEERING INMATEH-Agricultural Engineering Pub Date : 2023-08-17 DOI:10.35633/inmateh-70-35
Yin XU, Jiadong JIN, Songwei ZENG, Yun ZHANG, Qinglai XIAO
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Abstract

In this paper, the development of a portable, multifunctional water quality monitoring system for aquaculture that is based on IoT technology is presented. The system integrates a main control module, sensor module, Human Machine Interface (HMI) module, Wi-Fi module and power module, and is equipped with system software based on Real Time Operating System (RTOS) for scheduling tasks. The main control module collects crucial water quality information, including water temperature (WT), dissolved oxygen (DO), ammonia nitrogen (NH3-N), and pH, through the sensor module and facilitates data interaction with the HMI module. The proposed aquaculture water quality evaluation model utilizes water quality parameters as input to assign a grade based on the evaluation result. These parameters are transmitted wirelessly to the OneNet cloud platform using Wi-Fi modules, enabling users to remotely monitor the water quality through a visual interface. The system structure has been meticulously designed to accommodate both portable and fixed-point remote monitoring applications. The experimental results demonstrate that the system is accurate, stable, and cost-effective, providing a reliable and efficient solution for intelligent aquaculture in small and medium-sized enterprises.
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基于物联网的水产养殖便携式水质监测系统的开发与评价
本文介绍了一种基于物联网技术的便携式多功能水产养殖水质监测系统的开发。该系统集成了主控模块、传感器模块、HMI (Human Machine Interface)模块、Wi-Fi模块和电源模块,并配有基于实时操作系统(RTOS)的系统软件,用于任务调度。主控模块通过传感器模块采集水温(WT)、溶解氧(DO)、氨氮(NH3-N)、pH值等关键水质信息,并与人机界面模块进行数据交互。提出的水产养殖水质评价模型以水质参数为输入,根据评价结果进行分级。这些参数通过Wi-Fi模块无线传输到OneNet云平台,使用户能够通过可视化界面远程监控水质。系统结构经过精心设计,以适应便携式和定点远程监测应用。实验结果表明,该系统准确、稳定、性价比高,为中小企业智能化养殖提供了可靠、高效的解决方案。
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来源期刊
INMATEH-Agricultural Engineering
INMATEH-Agricultural Engineering AGRICULTURAL ENGINEERING-
CiteScore
1.30
自引率
57.10%
发文量
98
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