JETI Admin2
Abstract
This paper presents the application of Internet of Things (IoT) and Wireless Sensor Networks (WSNs) in water quality assessment. The design for monitoring water quality involves collecting data at predetermined sites at regular intervals using low-power sensors and a sensitive microcontroller to sample and monitor water parameters online. Over the years, the demand for water has been rising steadily on a worldwide scale, which has been accompanied by declining water quality due to overuse of natural resources, fast industrialization, the use of chemical manures in agriculture etc. Water quality problems has been a threat to human sustenance as a varieties of water-borne diseases has claimed several lives! As a result, the long-term viability of the water quality is at risk, and to decrease the harm generated by water concerns, modern water purification techniques must be adopted and carried out quickly and accurately. The primary objectives of the research is to design and implement a system for measuring key water parameters, analyze real-time data and comparing it with the traditional methods employing internet of things and wireless sensor networks. This research employs the use of Esp-32 micro-controllers with a number of sensors to detect drinking water quality, assess pollution levels, and identify associated risks, thereby preventing widespread adverse effects on public health. Additionally, the paper discusses the merits of using WSN/IoT over the traditional methods in terms of accuracy, time responsiveness, efficiency and cost. It also mentioned the role of networks in the monitoring process. The k-nearest neighbor (KNN) algorithm and correlation coefficient were also used to analyze the simulated data obtained. Finally, the research work emphasized the need to embrace water monitoring with the proposed system to safe public health.
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