Evaluating IoT based passive water catchment monitoring system data acquisition and analysis

Water quality is the main aspect to determine the quality of aquatic systems. Poor water quality will pose a health risk for people and ecosystems. The old methods such as collecting samples of water manually and testing and analysing at lab will cause the time consuming, wastage of man power and no...

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Main Authors:	Muhammad Aznil, Ab Aziz, Mohammad Fadhil, Abas, Mohamad Khairul Anwar, Abu Bashri, Norhafidzah, Mohd Saad, Mohd Hisyam, Mohd Ariff
Format:	Article
Language:	English
Published:	IAES 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27562/ http://umpir.ump.edu.my/id/eprint/27562/ http://umpir.ump.edu.my/id/eprint/27562/ http://umpir.ump.edu.my/id/eprint/27562/1/Evaluating%20IoT%20Based%20Passive%20Water%20Catchment%20Monitoring%20System%20Data%20Acquisition%20and%20Analysis.pdf

id	ump-27562
recordtype	eprints
spelling	ump-275622020-01-29T03:47:43Z http://umpir.ump.edu.my/id/eprint/27562/ Evaluating IoT based passive water catchment monitoring system data acquisition and analysis Muhammad Aznil, Ab Aziz Mohammad Fadhil, Abas Mohamad Khairul Anwar, Abu Bashri Norhafidzah, Mohd Saad Mohd Hisyam, Mohd Ariff TK Electrical engineering. Electronics Nuclear engineering Water quality is the main aspect to determine the quality of aquatic systems. Poor water quality will pose a health risk for people and ecosystems. The old methods such as collecting samples of water manually and testing and analysing at lab will cause the time consuming, wastage of man power and not economical. A system is needed to provide a real-time data for environmental protection and tracking pollution sources. This paper aims to describe on how to monitor water quality continuously through IoT platform. Water Quality Catchment Monitoring System was introduced to check and monitor water quality continuously. It’s features five sensors which are temperature sensor, light intensity sensor, pH sensor, GPS tracker and Inertia Movement Unit (IMU). IMU is a new feature in the system where the direction of x and y is determined for planning and find out where a water quality problem exists by determining the flow of water. The system uses an internet wireless connection using the ESP8266 Wi-Fi Shield Module as a connection between Arduino Mega2560 and laptop. ThingSpeak application acts as an IoT platform used for real-time data monitoring IAES 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27562/1/Evaluating%20IoT%20Based%20Passive%20Water%20Catchment%20Monitoring%20System%20Data%20Acquisition%20and%20Analysis.pdf Muhammad Aznil, Ab Aziz and Mohammad Fadhil, Abas and Mohamad Khairul Anwar, Abu Bashri and Norhafidzah, Mohd Saad and Mohd Hisyam, Mohd Ariff (2019) Evaluating IoT based passive water catchment monitoring system data acquisition and analysis. Bulletin of Electrical Engineering and Informatics, 8 (4). pp. 1373-1382. ISSN 2302-9285 http://beei.org/index.php/EEI/article/view/1583 http://dx.doi.org/10.11591/eei.v8i4.1583
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Muhammad Aznil, Ab Aziz Mohammad Fadhil, Abas Mohamad Khairul Anwar, Abu Bashri Norhafidzah, Mohd Saad Mohd Hisyam, Mohd Ariff Evaluating IoT based passive water catchment monitoring system data acquisition and analysis
description	Water quality is the main aspect to determine the quality of aquatic systems. Poor water quality will pose a health risk for people and ecosystems. The old methods such as collecting samples of water manually and testing and analysing at lab will cause the time consuming, wastage of man power and not economical. A system is needed to provide a real-time data for environmental protection and tracking pollution sources. This paper aims to describe on how to monitor water quality continuously through IoT platform. Water Quality Catchment Monitoring System was introduced to check and monitor water quality continuously. It’s features five sensors which are temperature sensor, light intensity sensor, pH sensor, GPS tracker and Inertia Movement Unit (IMU). IMU is a new feature in the system where the direction of x and y is determined for planning and find out where a water quality problem exists by determining the flow of water. The system uses an internet wireless connection using the ESP8266 Wi-Fi Shield Module as a connection between Arduino Mega2560 and laptop. ThingSpeak application acts as an IoT platform used for real-time data monitoring
format	Article
author	Muhammad Aznil, Ab Aziz Mohammad Fadhil, Abas Mohamad Khairul Anwar, Abu Bashri Norhafidzah, Mohd Saad Mohd Hisyam, Mohd Ariff
author_facet	Muhammad Aznil, Ab Aziz Mohammad Fadhil, Abas Mohamad Khairul Anwar, Abu Bashri Norhafidzah, Mohd Saad Mohd Hisyam, Mohd Ariff
author_sort	Muhammad Aznil, Ab Aziz
title	Evaluating IoT based passive water catchment monitoring system data acquisition and analysis
title_short	Evaluating IoT based passive water catchment monitoring system data acquisition and analysis
title_full	Evaluating IoT based passive water catchment monitoring system data acquisition and analysis
title_fullStr	Evaluating IoT based passive water catchment monitoring system data acquisition and analysis
title_full_unstemmed	Evaluating IoT based passive water catchment monitoring system data acquisition and analysis
title_sort	evaluating iot based passive water catchment monitoring system data acquisition and analysis
publisher	IAES
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27562/ http://umpir.ump.edu.my/id/eprint/27562/ http://umpir.ump.edu.my/id/eprint/27562/ http://umpir.ump.edu.my/id/eprint/27562/1/Evaluating%20IoT%20Based%20Passive%20Water%20Catchment%20Monitoring%20System%20Data%20Acquisition%20and%20Analysis.pdf
first_indexed	2023-09-18T22:43:20Z
last_indexed	2023-09-18T22:43:20Z
_version_	1777417060859510784

Evaluating IoT based passive water catchment monitoring system data acquisition and analysis

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