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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/27562/1/Evaluating%20IoT%20Based%20Passive%20Water%20Catchment%20Monitoring%20System%20Data%20Acquisition%20and%20Analysis.pdf
http://umpir.ump.edu.my/id/eprint/27562/
http://beei.org/index.php/EEI/article/view/1583
http://dx.doi.org/10.11591/eei.v8i4.1583
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spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/27562/1/Evaluating%20IoT%20Based%20Passive%20Water%20Catchment%20Monitoring%20System%20Data%20Acquisition%20and%20Analysis.pdf
http://umpir.ump.edu.my/id/eprint/27562/
http://beei.org/index.php/EEI/article/view/1583
http://dx.doi.org/10.11591/eei.v8i4.1583
_version_ 1657487853730398208
score 13.211869

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