Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa
The traditional method of water quality monitoring is time-consuming and expensive because it involves collecting water samples from various locations, transporting them to a laboratory, and analysing the samples. To address these limitations, a new system was proposed that used a LoRa (Long Range)...
Published in: | 2024 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS, I2CACIS 2024 |
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Main Authors: | , , , , , , |
Format: | Proceedings Paper |
Language: | English |
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IEEE
2024
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Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001308267400007 |
author |
Bin Ghazali Muhmmad Ashraf; Rahman Farah Yasmin Abdul; Mohamad Roslina; Shahbudin Shahrani; Suliman Saiful Izwan; Yusof Yuslinda Wati Mohamad |
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Bin Ghazali Muhmmad Ashraf; Rahman Farah Yasmin Abdul; Mohamad Roslina; Shahbudin Shahrani; Suliman Saiful Izwan; Yusof Yuslinda Wati Mohamad Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa Automation & Control Systems; Computer Science |
author_facet |
Bin Ghazali Muhmmad Ashraf; Rahman Farah Yasmin Abdul; Mohamad Roslina; Shahbudin Shahrani; Suliman Saiful Izwan; Yusof Yuslinda Wati Mohamad |
author_sort |
Bin Ghazali |
spelling |
Bin Ghazali, Muhmmad Ashraf; Rahman, Farah Yasmin Abdul; Mohamad, Roslina; Shahbudin, Shahrani; Suliman, Saiful Izwan; Yusof, Yuslinda Wati Mohamad Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa 2024 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS, I2CACIS 2024 English Proceedings Paper The traditional method of water quality monitoring is time-consuming and expensive because it involves collecting water samples from various locations, transporting them to a laboratory, and analysing the samples. To address these limitations, a new system was proposed that used a LoRa (Long Range) sensor node to collect real-time water quality data. The data was then routed to a remote server via a LoRa Gateway. The remote server was built on a Raspberry Pi, and the user interface was designed with Grafana software. The system was capable of measuring pH (potential hydrogen), temperature, and total dissolved substance (TDS) and recording the data in a database that can be accessed via the internet. The system can last up to 3 to 5 days with the backup battery supplies. From our study, it is found that the developed system provides a dependable, real-time solution for water quality monitoring that can be employed in remote places and removes the requirement for manual water sample collecting and laboratory analysis. IEEE 2995-2840 2024 10.1109/I2CACIS61270.2024.10649865 Automation & Control Systems; Computer Science WOS:001308267400007 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001308267400007 |
title |
Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa |
title_short |
Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa |
title_full |
Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa |
title_fullStr |
Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa |
title_full_unstemmed |
Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa |
title_sort |
Development of Water Quality Monitoring and Communication System using Raspberry Pi and LoRa |
container_title |
2024 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS, I2CACIS 2024 |
language |
English |
format |
Proceedings Paper |
description |
The traditional method of water quality monitoring is time-consuming and expensive because it involves collecting water samples from various locations, transporting them to a laboratory, and analysing the samples. To address these limitations, a new system was proposed that used a LoRa (Long Range) sensor node to collect real-time water quality data. The data was then routed to a remote server via a LoRa Gateway. The remote server was built on a Raspberry Pi, and the user interface was designed with Grafana software. The system was capable of measuring pH (potential hydrogen), temperature, and total dissolved substance (TDS) and recording the data in a database that can be accessed via the internet. The system can last up to 3 to 5 days with the backup battery supplies. From our study, it is found that the developed system provides a dependable, real-time solution for water quality monitoring that can be employed in remote places and removes the requirement for manual water sample collecting and laboratory analysis. |
publisher |
IEEE |
issn |
2995-2840 |
publishDate |
2024 |
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container_issue |
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doi_str_mv |
10.1109/I2CACIS61270.2024.10649865 |
topic |
Automation & Control Systems; Computer Science |
topic_facet |
Automation & Control Systems; Computer Science |
accesstype |
|
id |
WOS:001308267400007 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001308267400007 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1820775406995767296 |