Model for Water Quality Monitoring Based on Internet of Things

Soka Zimba, C. Chembe
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Abstract

In Lusaka, water pollution has been a problem for many decades, which has led to outbreaks of various waterborne diseases such as cholera, dysentery, and many more. In this research, we proposed a water quality monitoring system based on the Internet of Things (IoT). IoT relies on sensors to measure different parameters in water and report the results in real-time. The real-time information obtained from sensors through the IoT system can be used to warn users if there is any contamination in the water before the community gets infected. The deliverables for this research project are 1) Water quality monitoring using IoT sensors; 2) a dashboard to show water analysis from sensors, and 3) a mobile application to notify users should there be contamination of water. The results were obtained through the testing of water collected from various sources. Others results collected are dairy gold milk, undiluted Coolsplash juice and combination of other mixture. The results obtained show that IoT technology can be used to detect water quality. The model design has demonstrated to be effective based on the results obtained from the experiments. The proposed prototype can be used to help monitor water quality in Zambia.
基于物联网的水质监测模型
在卢萨卡,水污染几十年来一直是一个问题,导致霍乱、痢疾等各种水传播疾病的爆发。在本研究中,我们提出了一种基于物联网的水质监测系统。物联网依靠传感器测量水中的不同参数并实时报告结果。通过物联网系统从传感器获取的实时信息可用于在社区感染之前警告用户水中是否有污染。本研究项目的成果包括:1)利用物联网传感器进行水质监测;2)一个显示来自传感器的水分析的仪表板,3)一个移动应用程序,如果有水污染,通知用户。这些结果是通过对从不同来源收集的水进行测试得出的。其他收集的结果是牛奶金牛奶,未稀释的Coolsplash果汁和其他混合物的组合。结果表明,物联网技术可以用于水质检测。实验结果表明,该模型设计是有效的。提出的原型可以用来帮助监测赞比亚的水质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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