Water Quality Monitoring System

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.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-06-13
DOI
https://doi.org/10.55041/ijsrem.ncft005
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
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Water Quality Monitoring System

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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Water Quality Monitoring Technologies
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Water Quality Monitoring System

Nigama Vangala, Harish Yamala, Ramya Aligeti, Vanaja Gujjeti, Sindhusha Gourishetty
article en

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(06)
Openalex Percentile: Top 86%
Water Quality Monitoring Technologies
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