Kartik Maheshwari et al., International Journal of Emerging Trends in Engineering Research, 9(7), July 2021, 1020 – 1024 1020 ABSTRACT Monitoring the quality of water and its proper management is crucial for any industrial and economic application. The global shortage of water demands a sustainable solution to optimize its usage. The Internet of Things provides a robust and cost-effective solution for real-time monitoring of various parameters of water. The paper aims to implement an intelligent water quality monitoring system with the aid of IoT. The proposed system was successfully implemented to determine the turbidity, TDS, flow rate and the level of water for a given sample. The data obtained from the sensors are uploaded to the ThingSpeak dashboard for online monitoring purpose. Besides, an SMS alert is sent to the user whenever the turbidity and TDS values have crossed the threshold limit defined for good quality water. Key words : IoT, sensors, TDS, ThingSpeak, turbidity. 1. INTRODUCTION Water is undoubtedly one of the most vital environmental elements necessary to sustain our existence. Due to the exponential growth in population and improper management of water resources, there has been an acute shortage of water in different places around the globe. Besides, water pollution has adversely affected the lives of several organisms and is one of the foremost reasons for rise in mortality rate and outbreak of diseases worldwide. Thus assessing the quality of water and its proper management is of paramount importance. In order to cope up with the huge demand for water, we need high-quality technology which can monitor the quality of water as well as ensure its availability. Such a system should be capable of monitoring different parameters of water like TDS, turbidity etc as well as measure the level and flow of water in different reservoirs for proper management. The traditional system for water quality monitoring and management relied heavily on manual work with no real-time monitoring available. This resulted in efficiency compromise and is not suitable to scale up well with the digital age. [1] This paper establishes an IoT based system for monitoring various parameters related to water quality and management of water resources. Our embedded system consists of various sensors for measuring the flow and level of water along with its TDS and turbidity for accessing the quality of the water. The information obtained from these sensors is processed by the Arduino microcontroller, interfaced with an Ethernet shield and is uploaded to the ThingSpeak IoT platform. Real time monitoring can be performed from its dashboard from anywhere in the world. Besides, warning notifications will be sent to the user whenever the quality of water is poorer than expected. In this way, we’ll be able to manage multiple water reservoirs and access the water quality of the water. 2. LITERATURE SURVEY The implementation of a robust and cost-effective water monitoring system demands a good level of research and development. Many researchers have proposed different models in order to implement such a system. Mohammad Salah Uddin Chowdury et al. [2] have proposed a system for monitoring the quality of water in a river with the aid of an embedded system consisting of wireless sensor network and IoT. Deep learning models have been used to assess the quality of water and SMS alert is sent in case the value of a sensor has crossed the threshold. Soundarya Pappu et al. [3] have used a pH and a TDS sensor to determine the quality of water with the Arduino microcontroller and the Raspberry Pi3. K-means clustering algorithm is used to predict the quality of water based on the sensed values. Thinagaran Perumal, Md Nasir Sulaiman and Leong.C.Y [4] have implemented a system to monitor water level with IoT. The water level is measured using a sensor and is fed to a web-based dashboard. Twitter is used for sending necessary alerts to the users. Nikhil Kumar Koditala and Purnendu Shekar Pandey [5] have devised a model for regulating the temperature of water by predicting the temperature of the surrounding environment using machine learning. Besides, the quality of water is analyzed by sensors measuring pH and turbidity. The data is stored in Azure Event Hub and PowerBI is used for displaying the values obtained from the sensors. Juan Huan et al. [6] have used STM32L151C8 Water Quality Monitoring System Implemented With IoT Kartik Maheshwari 1 , Adrija Chakraborty 2 1 U.G. Student, Vellore Institute of Technology, Vellore, India, karthik.maheshwari2018@vitsudent.ac.in 2 U.G. Student, Vellore Institute of Technology, Vellore, India, adrija.chakraborty2018@vitstudent.ac.in ISSN 2347 - 3983 Volume 9. No. 7, July 2021 International Journal of Emerging Trends in Engineering Research Available Online at http://www.warse.org/IJETER/static/pdf/file/ijeter29972021.pdf https://doi.org/10.30534/ijeter/2021/29972021