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Performance analysis of air monitoring system using 433 MHz LoRa module

The escalating air pollution issue has garnered significant public attention in recent years. This pervasive environmental challenge exerts a profound negative impact on living organisms and the ecosystem, posing a substantial threat to human health. Moreover, the existing works in air monitoring sy...

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Main Authors: Mas Haslinda, Mohamad, Abdul Rahim, Muhammad Khairul Naim, Baharudin, Elfarizanis, Mohamed Yunus, Mawarni
Format: Article
Language:English
Published: Wydawnictwo SIGMA-NOT 2024
Online Access:http://eprints.utem.edu.my/id/eprint/27966/2/02062150120249852678.pdf
http://eprints.utem.edu.my/id/eprint/27966/
http://pe.org.pl/articles/2024/3/39.pdf
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spelling my.utem.eprints.279662025-01-06T08:28:12Z http://eprints.utem.edu.my/id/eprint/27966/ Performance analysis of air monitoring system using 433 MHz LoRa module Mas Haslinda, Mohamad Abdul Rahim, Muhammad Khairul Naim Baharudin, Elfarizanis Mohamed Yunus, Mawarni The escalating air pollution issue has garnered significant public attention in recent years. This pervasive environmental challenge exerts a profound negative impact on living organisms and the ecosystem, posing a substantial threat to human health. Moreover, the existing works in air monitoring systems have a limited range and inability to identify specific pollutants. This issue can be solved by developing a real-time air quality monitoring system using the Internet of Things (IoT) and Long Range (LoRa) wireless technologies. This work addresses these issues through gas sensors and remote data collection. The system has been equipped with notification of AQI levels and types of gasses detected via email and the ThingSpeak platform. This work uses a series of gas sensors, MQ135, MQ7, MQ9 and Honeywell gas sensors, to measure the level of harmful gas such as ammonia, carbon monoxide gas, LPG gas, API, and dust particles. The data from the gas sensors is transmitted via LoRa, controlled by Arduino Nano and NodeMCU ESP8266 Wi-Fi module. Findings demonstrate that the proposed air monitoring system detected a higher AQI concentration, 185 ppm, at the Melaka Sentral parking area during peak hours. This reading is classified as unhealthy conditions for health. Wydawnictwo SIGMA-NOT 2024-01 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27966/2/02062150120249852678.pdf Mas Haslinda, Mohamad and Abdul Rahim, Muhammad Khairul Naim and Baharudin, Elfarizanis and Mohamed Yunus, Mawarni (2024) Performance analysis of air monitoring system using 433 MHz LoRa module. Przeglad Elektrotechniczny, 2024 (3). pp. 223-227. ISSN 0033-2097 http://pe.org.pl/articles/2024/3/39.pdf 10.15199/48.2024.03.39
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The escalating air pollution issue has garnered significant public attention in recent years. This pervasive environmental challenge exerts a profound negative impact on living organisms and the ecosystem, posing a substantial threat to human health. Moreover, the existing works in air monitoring systems have a limited range and inability to identify specific pollutants. This issue can be solved by developing a real-time air quality monitoring system using the Internet of Things (IoT) and Long Range (LoRa) wireless technologies. This work addresses these issues through gas sensors and remote data collection. The system has been equipped with notification of AQI levels and types of gasses detected via email and the ThingSpeak platform. This work uses a series of gas sensors, MQ135, MQ7, MQ9 and Honeywell gas sensors, to measure the level of harmful gas such as ammonia, carbon monoxide gas, LPG gas, API, and dust particles. The data from the gas sensors is transmitted via LoRa, controlled by Arduino Nano and NodeMCU ESP8266 Wi-Fi module. Findings demonstrate that the proposed air monitoring system detected a higher AQI concentration, 185 ppm, at the Melaka Sentral parking area during peak hours. This reading is classified as unhealthy conditions for health.
format Article
author Mas Haslinda, Mohamad
Abdul Rahim, Muhammad Khairul Naim
Baharudin, Elfarizanis
Mohamed Yunus, Mawarni
spellingShingle Mas Haslinda, Mohamad
Abdul Rahim, Muhammad Khairul Naim
Baharudin, Elfarizanis
Mohamed Yunus, Mawarni
Performance analysis of air monitoring system using 433 MHz LoRa module
author_facet Mas Haslinda, Mohamad
Abdul Rahim, Muhammad Khairul Naim
Baharudin, Elfarizanis
Mohamed Yunus, Mawarni
author_sort Mas Haslinda, Mohamad
title Performance analysis of air monitoring system using 433 MHz LoRa module
title_short Performance analysis of air monitoring system using 433 MHz LoRa module
title_full Performance analysis of air monitoring system using 433 MHz LoRa module
title_fullStr Performance analysis of air monitoring system using 433 MHz LoRa module
title_full_unstemmed Performance analysis of air monitoring system using 433 MHz LoRa module
title_sort performance analysis of air monitoring system using 433 mhz lora module
publisher Wydawnictwo SIGMA-NOT
publishDate 2024
url http://eprints.utem.edu.my/id/eprint/27966/2/02062150120249852678.pdf
http://eprints.utem.edu.my/id/eprint/27966/
http://pe.org.pl/articles/2024/3/39.pdf
_version_ 1821007581091463168
score 13.226694

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