Smart and Low Cost Real Time Water Quality Monitoring System Using IoT

Jeba Anandh S, A. M, Aswinrajan J, K. G, K. P
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Abstract

Now a day’s water pollution is one of the biggest fears for the green globalization. To prevent the water pollution, first we have to estimate the water parameters like pH, turbidity, temperature and TDS as the variations in the values of these parameters point towards the presence of pollutants. In this project we design and develop a low cost system for real time monitoring of the water quality in IoT. Nowadays Internet of Things (IoT) and Remote Sensing (RS) techniques are used in different area of research for monitoring, collecting and analysis data from remote locations. This project proposes a Sensor-Based Water Quality Monitoring System which is used for measuring physical and chemical parameters of the water. The parameters such as Temperature, pH, TDS and water level of the water can be measured and the system provides a visual image of interior part of water container using raspberry pi camera. The measured values from the sensors can be processed by the core controller. The Raspberry Pi model can be used as a core controller. Finally, the sensor data can be viewed on internet using cloud storage (Thingspeak). The system also provides an alert to a remote user, when there is a deviation of water quality parameters from the predefined set of standard values. The uniqueness of our proposed paper is to obtain the water monitoring system with high frequency, high mobility, and low powered.
基于物联网的智能低成本实时水质监测系统
如今,每天的水污染是绿色全球化最大的担忧之一。为了防止水污染,首先我们必须估计水的参数,如pH、浊度、温度和TDS,因为这些参数值的变化表明污染物的存在。在这个项目中,我们设计和开发了一个低成本的系统,用于物联网中水质的实时监测。如今,物联网(IoT)和遥感(RS)技术被用于不同的研究领域,用于监测、收集和分析来自偏远地区的数据。本课题提出了一种基于传感器的水质监测系统,用于测量水体的理化参数。系统通过树莓派相机对容器内的水温、pH、TDS、水位等参数进行测量,并提供容器内部的视觉图像。来自传感器的测量值可以由核心控制器进行处理。树莓派模型可以用作核心控制器。最后,传感器数据可以通过云存储(Thingspeak)在互联网上查看。当水质参数偏离预定义的标准值集时,系统还向远程用户提供警报。本文的独特之处在于获得了高频、高移动性、低功耗的水监测系统。
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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