Smart Water Quality Monitoring with the Implementation of IoT

DOI

10.2991/978-94-6463-589-8_25How to use a DOI?

Keywords

Water Quality; IoT; Temperature; pH: turbidity; TDS

Abstract

Globally, an estimated 80% of industrial and municipal wastewater is discharged into the environment without proper treatment, adversely affecting water quality. To ensure the sustainability and reliability of water quality, real-time monitoring systems are essential for maintaining optimal water quality and mitigating environmental risks. While traditional water quality monitoring methods have served as a foundation for understanding aquatic ecosystems, smart monitoring systems integrating Internet of Things (IoT) technology have become a game changer in water management. Unlike traditional methods, which rely on manual data collection, smart water monitoring systems provide continuous, real-time insights into crucial water quality. This project aims to develop and design an embedded system architecture to perform real-time water quality monitoring with the integration of IoT technology and display the water quality in a graphical format via an Android app (Blynk). The entire embedded system was based on the Arduino platform and the Blynk cloud server. ESP32 module was used to log temperature, PH, turbidity, and TDS sensor data. By utilising the compatibility of IoT, these systems enable remote monitoring, immediate alerts for deviations, and data-driven decision-making. Initial tests were gathered from Taman Tasik Seksyen 7 on 19th May. Several parameters were observed in the initial test, namely water temperature (30.37 ℃), pH (9.97), turbidity (33.00 ppm), and TDS (180.00 ppm). The water quality readings indicate that the water can be used for water supply with conventional treatment or for recreational activities involving bodily contact. This demonstrates the possibility of continuously monitoring water quality on-site and alerting users to any alarming lake conditions if they exist. This proactive approach enhances the efficiency and productivity of water quality inspections and minimises environmental risks.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Megat Hadif bin Mohamad
AU  - S. M. B. Abdul Rahman
AU  - Ahsana Aqilah Ahmad
PY  - 2024
DA  - 2024/12/01
TI  - Smart Water Quality Monitoring with the Implementation of IoT
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 276
EP  - 286
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_25
DO  - 10.2991/978-94-6463-589-8_25
ID  - Mohamad2024
ER  -