Water quality monitoring system with IOT

This project proposed an improved method to provide an early detection system at Semangar water treatment plant as many pollution cases occurred within the past years had left many housing area without water supply for days. The solution is based on the idea of developing an alert system, and also a...

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Main Author:	Rosw Zaidi, Rose Neezar
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/79495/1/RoseNeezarMFKE2018.pdf
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id	my-utm-ep.79495
record_format	uketd_dc
spelling	my-utm-ep.794952018-10-31T12:41:52Z Water quality monitoring system with IOT 2018 Rosw Zaidi, Rose Neezar TK Electrical engineering. Electronics Nuclear engineering This project proposed an improved method to provide an early detection system at Semangar water treatment plant as many pollution cases occurred within the past years had left many housing area without water supply for days. The solution is based on the idea of developing an alert system, and also a real time database that can store data ammonia, turbidity and pH. The approach has several notable merits, namely cost efficient, not changing the existing system as it only act as an additional feature and higher safety. The idea is proven based on two subsystems. First the early detection system is based on notification through a mobile application. It provides user with notification every time the ammonia reading is above 2 parts per million threshold. Second, The real time database saves the ammonia parameter reading data every 10 seconds in Google Spreadsheet. The current reading of the chemicals can also be viewed using a web server which can then be connected through a mobile application. Database application is not only by Google Spreadsheet but also using Firebase application which can also be viewed through the mobile application. The method proposed in this project can be used for any water treatment plant in Malaysia that’s requires data to be stored and view at any given time. 2018 Thesis http://eprints.utm.my/id/eprint/79495/ http://eprints.utm.my/id/eprint/79495/1/RoseNeezarMFKE2018.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Rosw Zaidi, Rose Neezar Water quality monitoring system with IOT
description	This project proposed an improved method to provide an early detection system at Semangar water treatment plant as many pollution cases occurred within the past years had left many housing area without water supply for days. The solution is based on the idea of developing an alert system, and also a real time database that can store data ammonia, turbidity and pH. The approach has several notable merits, namely cost efficient, not changing the existing system as it only act as an additional feature and higher safety. The idea is proven based on two subsystems. First the early detection system is based on notification through a mobile application. It provides user with notification every time the ammonia reading is above 2 parts per million threshold. Second, The real time database saves the ammonia parameter reading data every 10 seconds in Google Spreadsheet. The current reading of the chemicals can also be viewed using a web server which can then be connected through a mobile application. Database application is not only by Google Spreadsheet but also using Firebase application which can also be viewed through the mobile application. The method proposed in this project can be used for any water treatment plant in Malaysia that’s requires data to be stored and view at any given time.
format	Thesis
qualification_level	Master's degree
author	Rosw Zaidi, Rose Neezar
author_facet	Rosw Zaidi, Rose Neezar
author_sort	Rosw Zaidi, Rose Neezar
title	Water quality monitoring system with IOT
title_short	Water quality monitoring system with IOT
title_full	Water quality monitoring system with IOT
title_fullStr	Water quality monitoring system with IOT
title_full_unstemmed	Water quality monitoring system with IOT
title_sort	water quality monitoring system with iot
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/79495/1/RoseNeezarMFKE2018.pdf
_version_	1747818240239730688

Water quality monitoring system with IOT

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