Design of Water Quality Monitoring System Based on Internet of Things Technology

Authors

  • Norsuzila Yaacob School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Nur Syaza Zainali School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Amirul Asraf Abdul Rahman School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Azita Laily Yusof School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Murizah Kassim School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Ahmad Shazri Nazif Salehudin School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.37934/araset.45.1.154167

Keywords:

Water quality monitoring system, IoT, pH, Temperature, Turbidity, Arduino, ESP8266, Blynk

Abstract

Water quality is an assessment of how appropriate water is for a certain use or purpose, taking into consideration various physical, chemical, and biological factors that can affect its suitability. These factors can include pH, turbidity, dissolved oxygen, temperature, and the presence of pollutants or pathogens. The outdated method has been used by scientists and researchers to monitor the quality of water from the sources. The objective of this project is to create an efficient Internet of Things (IoT) system that can various sensors to continuously monitor water quality. The system is implemented using Arduino as the microcontroller, and sensors. A real-time monitoring system that is IoT-based was done to improve the examination process of the water sample. The system device is containing a NodeMCU ESP8266 microcontroller, pH, temperature, and turbidity sensors and uses the Blynk application. The system experiment results show that the device can show different readings based on the variety of water samples from different water bodies.

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Author Biographies

Norsuzila Yaacob, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

norsuzilayaacob@gmail.com

Nur Syaza Zainali, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

syazazainali@gmail.com

Amirul Asraf Abdul Rahman, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

amirulasraf02@gmail.com

Azita Laily Yusof, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

azita968@uitm.edu.my

Murizah Kassim, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

murizah@uitm.edu.my

Ahmad Shazri Nazif Salehudin, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

ahmadshazrinazif@gmail.com

Published

2024-04-11

Issue

Section

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