Water Quality Monitoring System

Year : 2025 | Volume : 03 | Issue : 01 | Page : 37 44
    By

    Vishwajit V. Jade,

  • Prathamesh P. Mandavkar,

  • Atharv M. Nevrekar,

  • Aditya R. Panchal,

  • Gajanan P. Khapre,

  1. Student, Department of electronics and telecommunication engineering. Vidya prasarak mandal’s Maharshi prashuram college of engineering,velneshwar University of Mumbai, Maharashtra, India
  2. Student, Department of electronics and telecommunication engineering. Vidya prasarak mandal’s Maharshi prashuram college of engineering,velneshwar University of Mumbai, Maharashtra, India
  3. Student, Department of electronics and telecommunication engineering. Vidya prasarak mandal’s Maharshi prashuram college of engineering,velneshwar University of Mumbai, Maharashtra, India
  4. Student, Department of electronics and telecommunication engineering. Vidya prasarak mandal’s Maharshi prashuram college of engineering,velneshwar University of Mumbai, Maharashtra, India
  5. Professor, Department of Electronics and Telecommunication engineering. Vidya prasarak mandal’s Maharshi prashuram college of engineering,velneshwar University of Mumbai, Maharashtra, India

Abstract

Water contamination is a serious issue that endangers both human health and the environment. Monitoring water quality in real time is crucial to ensuring that people have access to clean and safe drinking water. This project uses Internet of Things (IoT) technologies to provide a low-cost, straightforward water quality monitoring device. The system measures the temperature, pH, turbidity (cloudiness), and water flow using a variety of sensors. These tests aid in determining whether water is suitable for human consumption. As the core controller, the ESP8266 module is the primary component of the system. Data is gathered from the sensors and processed instantly. This data is transmitted to an internet platform over Wi-Fi so that it may be watched from any location. Because of this real-time access, any changes in the quality of the water are promptly observed, enabling prompt response if problems occur. Through early detection of water pollution, this method contributes significantly to health protection. By maintaining the safety and cleanliness of water supplies, it also contributes to environmental conservation. The system can be utilized in homes, businesses, and farms due to its low cost and simplicity of setup. This water quality monitoring system makes it easier and more effective to assess the safety of the water by utilizing Internet of Things technology. It helps guarantee that everyone has access to safe water and offers precise, up-to-date statistics. This idea provides a clever and workable way to stop water contamination and encourage a more sustainable, healthy future.

Keywords: Water quality monitoring, internet of things (IoT), sensors, microcontroller, wireless communication, data platform, environmental monitor

[This article belongs to International Journal of Electrical Machine Analysis and Design ]

How to cite this article:
Vishwajit V. Jade, Prathamesh P. Mandavkar, Atharv M. Nevrekar, Aditya R. Panchal, Gajanan P. Khapre. Water Quality Monitoring System. International Journal of Electrical Machine Analysis and Design. 2025; 03(01):37-44.
How to cite this URL:
Vishwajit V. Jade, Prathamesh P. Mandavkar, Atharv M. Nevrekar, Aditya R. Panchal, Gajanan P. Khapre. Water Quality Monitoring System. International Journal of Electrical Machine Analysis and Design. 2025; 03(01):37-44. Available from: https://journals.stmjournals.com/ijemad/article=2025/view=206517


References

  1. Prasad AN, Mamun KA, Islam FR, Haqva H. Smart water quality monitoring system. In2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) 2015 Dec 2 (pp. 1-6). IEEE.
  2. Aspinall R. Interzoo Special. UltraMarine Magazine. 2014 Jun 1(46):58.
  3. El-Moselhy K. Seasonal Variations of the Physical and Chemical Properties of Seawater at the Northern Red Sea, Egypt.
  4. Mulvaney KK. First biennial assessment of the rhode island ocean special area management plan process.
  5. Lakshmikantha V, Hiriyannagowda A, Manjunath A, Patted A, Basavaiah J, Anthony AA. IoT based smart water quality monitoring system. Global Transitions Proceedings. 2021 Nov 1;2(2):181-6.
  6. Zhao X, Li W, Zhou L, Song GB, Ba Q, Ou J. Active thermometry based DS18B20 temperature sensor network for offshore pipeline scour monitoring using K-means clustering algorithm. International Journal of Distributed Sensor Networks. 2013 Jun 15;9(6):852090.
  7. Poursaeid M, Mastouri R, Shabanlou S, Najarchi M. Estimation of total dissolved solids, electrical conductivity, salinity and groundwater levels using novel learning machines. Environmental Earth Sciences. 2020 Oct;79:1-25.
  8. Li J, Conradi R, Bunse C, Torchiano M, Slyngstad OP, Morisio M. Development with off-the-shelf components: 10 facts. IEEE software. 2009 Feb 24;26(2):80-7.
  9. Bandara RM, Jayasignhe AB, Retscher G. The Integration of IoT (Internet of Things) Sensors and Location-Based Services for Water Quality Monitoring: A Systematic Literature Review. Sensors. 2025 Mar 19;25(6):1918.
  10. Miller T, Durlik I, Kostecka E, Kozlovska P, Łobodzińska A, Sokołowska S, Nowy A. Integrating Artificial Intelligence Agents with the Internet of Things for Enhanced Environmental Monitoring: Applications in Water Quality and Climate Data. Electronics. 2025 Feb 11;14(4):696.
Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 22/03/2025
Accepted 24/03/2025
Published 07/04/2025
Publication Time 16 Days
249

Login


My IP

PlumX Metrics