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Design and development of IoT based water leakage monitoring system

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Main Authors: Muhammad Azfar Shazmi, Mohd Adnan, Mohd Hanif, Mohd Ramli, Nurul Syuhadah, Khusaini, Wan Sulaiman, Wan Mohamad, Zulkifli, Mohamed
Other Authors: zulkifli127@uitm.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
IoT
Water leakage
Flowrate
Blynk
Flow sensor
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74973
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spelling my.unimap-749732022-04-14T07:56:57Z Design and development of IoT based water leakage monitoring system Muhammad Azfar Shazmi, Mohd Adnan Mohd Hanif, Mohd Ramli Nurul Syuhadah, Khusaini Wan Sulaiman, Wan Mohamad Zulkifli, Mohamed zulkifli127@uitm.edu.my IoT Water leakage Flowrate Blynk Flow sensor Link to publisher's homepage at http://ijneam.unimap.edu.my Nowadays, water leakage has become one of the major issues in the water distribution system, and it can cause a lot of water loss through water pipelines. Hence, causing financial loss if it goes undetected at an early stage. In this project, we present the principle of real-time monitoring water leakage systems via the Internet of Things (IoT). IoT is an important component of smart tracking and real time monitoring, which connects people and systems through wireless technologies. The device used to analyse the water leakage in the pipeline is the water flow sensor. The water flow sensor is utilised in this research to measure the water flow rate in the pipeline in order to solve all water-related issues such as leakage and usage. The system focuses on standard housing pipes, and the collected data is displayed through a smartphone. In addition, a newly developed fully integrated water leakage system had been designed and built. The result shows that the system is fully function and provide high accuracy and stability of water flow rate with 98% of accuracy. The system is also capable of transferring real-time data to smartphones via the Blynk application and alert the users when leaks are detected, and the reading is more than the lower and upper limit of the threshold data. 2022-04-14T07:56:57Z 2022-04-14T07:56:57Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 219-226 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74973 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic IoT
Water leakage
Flowrate
Blynk
Flow sensor
spellingShingle IoT
Water leakage
Flowrate
Blynk
Flow sensor
Muhammad Azfar Shazmi, Mohd Adnan
Mohd Hanif, Mohd Ramli
Nurul Syuhadah, Khusaini
Wan Sulaiman, Wan Mohamad
Zulkifli, Mohamed
Design and development of IoT based water leakage monitoring system
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 zulkifli127@uitm.edu.my
author_facet zulkifli127@uitm.edu.my
Muhammad Azfar Shazmi, Mohd Adnan
Mohd Hanif, Mohd Ramli
Nurul Syuhadah, Khusaini
Wan Sulaiman, Wan Mohamad
Zulkifli, Mohamed
format Article
author Muhammad Azfar Shazmi, Mohd Adnan
Mohd Hanif, Mohd Ramli
Nurul Syuhadah, Khusaini
Wan Sulaiman, Wan Mohamad
Zulkifli, Mohamed
author_sort Muhammad Azfar Shazmi, Mohd Adnan
title Design and development of IoT based water leakage monitoring system
title_short Design and development of IoT based water leakage monitoring system
title_full Design and development of IoT based water leakage monitoring system
title_fullStr Design and development of IoT based water leakage monitoring system
title_full_unstemmed Design and development of IoT based water leakage monitoring system
title_sort design and development of iot based water leakage monitoring system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74973
_version_ 1738511689532309504
score 13.222552

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