Water Quality Monitoring System
Sindhusha Gourishetty1, Nigama Vangala2, Harish Yamala3, Ramya Aligeti 4, Vanaja Gujjeti5
Sindhusha Gourishetty, Assistant Professor
Department of Computer Science and Engineering,
Jyothishmathi Institute of Technology and Science, Karimnagar – 505527, India
Email ID: gourishetty.sindhusha@jits.ac.in)
Nigama Vangala Department of Computer Science and Engineering
Jyothishmathi Institute of Technology and Science (JNTUH)
Karimnagar - 505527, India
Email ID: nigamavangala2004@gmail.com
Harish Yamala
Department of Computer Science and Engineering
Jyothishmathi Institute of Technology and Science (JNTUH)
Karimnagar - 505527, India
Email ID: harishyamala2002@gmail.com
Ramya Aligeti
Department of Computer Science and Engineering
Jyothishmathi Institute of Technology and Science (JNTUH)
Karimnagar - 505527, India Email ID: aligetiramya12@gmail.com
Vanaja Gujjeti
Department of Computer Science and Engineering
Jyothishmathi Institute of Technology and Science (JNTUH)
Karimnagar - 505527, India Email ID: vanajagujjeti@gmail.com
Abstract - Water is an essential resource for human life and crucial for various daily activities. The prevention of Aquatic pollution is a worldwide challenge. To assure the pure water access, the ongoing water quality surveillance is required. We present a model and development of a system for quality assessment of water through Internet of Things (IoT). This system consists of a microcontroller (ESP32) and multiple sensors to measure the water quality indicators such as pH, turbidity, ORP and TDS sensors. The sensors data is analysed by the microcontroller and output is shown on the LCD (Liquid Crystal Display). Concurrently, If the values are different with WHO standards of water quality measurements then an exact replica of the sensors readings are transferred remotely to the management and user’s mobile as a SMS via GSM (Global System for Mobile) module. A cloud-based platform (Thingspeak) is used for virtual observation of water quality. The advantages of this system are early identification and alerting through notifications, lower cost, avoids human error, increase safety. As the system is automatic, it is faster in monitoring, so it helps in preventing the water before contamination.
Keywords: Microcontroller, Sensors, IoT, Turbidity, Thingspeak.
