Development of air quality measurement system using raspberry Pi

Air pollution is a major health issue in many countries. Air pollutants pose a danger to human health if their concentrations exceeding the tolerable levels. Monitoring such pollutants and their levels is an important precautionary measure to alarm the public about air quality around them. In Malays...

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Main Authors: Mohd Pu'ad, Muhamad Farhan, Gunawan, Teddy Surya, Kartiwi, Mira, Janin, Zuriati
Format: Proceeding Paper
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
Online Access:http://irep.iium.edu.my/71847/
http://irep.iium.edu.my/71847/1/71847_Development%20of%20Air%20Quality%20Measurement.pdf
http://irep.iium.edu.my/71847/7/71847%20Development%20of%20Air%20Quality%20Measurement%20System%20using%20Raspberry%20Pi%20SCOPUS.pdf
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author Mohd Pu'ad, Muhamad Farhan
Gunawan, Teddy Surya
Kartiwi, Mira
Janin, Zuriati
author_facet Mohd Pu'ad, Muhamad Farhan
Gunawan, Teddy Surya
Kartiwi, Mira
Janin, Zuriati
author_sort Mohd Pu'ad, Muhamad Farhan
building IIUM Repository
collection Online Access
description Air pollution is a major health issue in many countries. Air pollutants pose a danger to human health if their concentrations exceeding the tolerable levels. Monitoring such pollutants and their levels is an important precautionary measure to alarm the public about air quality around them. In Malaysia, the Department of Environment monitors air quality using costly continuous air quality monitoring stations (CAQMs) installed at fixed locations of highly populated and industrial areas. For other areas, their API readings are just estimates taken from the nearest CAQMs. Furthermore, most of the CAQMs still do not measure particulate matters (PM) smaller than 2.5 micron (PM2.5). The objective of this paper is to develop an air quality measurement system which can measure PM smaller than 10 and 2.5 microns, and four hazardous gasses, including carbon monoxide, sulphur dioxide, ground level ozone and nitrogen dioxide. The functionality of the system was evaluated by measuring sub-API readings in areas with low and high traffic volumes. Experimental results showed that the proposed system was highly responsive and able to detect the types and concentrations of pollutants instantly. For validation, the device API readings was compared with API of the nearby Batu Muda CAQMS, in which 3.23% error was obtained.
first_indexed 2025-11-14T17:26:13Z
format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T17:26:13Z
publishDate 2018
publisher Institute of Electrical and Electronics Engineers Inc.
recordtype eprints
repository_type Digital Repository
spelling iium-718472019-07-03T07:09:57Z http://irep.iium.edu.my/71847/ Development of air quality measurement system using raspberry Pi Mohd Pu'ad, Muhamad Farhan Gunawan, Teddy Surya Kartiwi, Mira Janin, Zuriati TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Air pollution is a major health issue in many countries. Air pollutants pose a danger to human health if their concentrations exceeding the tolerable levels. Monitoring such pollutants and their levels is an important precautionary measure to alarm the public about air quality around them. In Malaysia, the Department of Environment monitors air quality using costly continuous air quality monitoring stations (CAQMs) installed at fixed locations of highly populated and industrial areas. For other areas, their API readings are just estimates taken from the nearest CAQMs. Furthermore, most of the CAQMs still do not measure particulate matters (PM) smaller than 2.5 micron (PM2.5). The objective of this paper is to develop an air quality measurement system which can measure PM smaller than 10 and 2.5 microns, and four hazardous gasses, including carbon monoxide, sulphur dioxide, ground level ozone and nitrogen dioxide. The functionality of the system was evaluated by measuring sub-API readings in areas with low and high traffic volumes. Experimental results showed that the proposed system was highly responsive and able to detect the types and concentrations of pollutants instantly. For validation, the device API readings was compared with API of the nearby Batu Muda CAQMS, in which 3.23% error was obtained. Institute of Electrical and Electronics Engineers Inc. 2018-11-28 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/71847/1/71847_Development%20of%20Air%20Quality%20Measurement.pdf application/pdf en http://irep.iium.edu.my/71847/7/71847%20Development%20of%20Air%20Quality%20Measurement%20System%20using%20Raspberry%20Pi%20SCOPUS.pdf Mohd Pu'ad, Muhamad Farhan and Gunawan, Teddy Surya and Kartiwi, Mira and Janin, Zuriati (2018) Development of air quality measurement system using raspberry Pi. In: 2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), 28th-30th Nov 2018, Songkla, Thailand. https://ieeexplore.ieee.org/document/8688748 10.1109/ICSIMA.2018.8688748
spellingShingle TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Mohd Pu'ad, Muhamad Farhan
Gunawan, Teddy Surya
Kartiwi, Mira
Janin, Zuriati
Development of air quality measurement system using raspberry Pi
title Development of air quality measurement system using raspberry Pi
title_full Development of air quality measurement system using raspberry Pi
title_fullStr Development of air quality measurement system using raspberry Pi
title_full_unstemmed Development of air quality measurement system using raspberry Pi
title_short Development of air quality measurement system using raspberry Pi
title_sort development of air quality measurement system using raspberry pi
topic TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
url http://irep.iium.edu.my/71847/
http://irep.iium.edu.my/71847/
http://irep.iium.edu.my/71847/
http://irep.iium.edu.my/71847/1/71847_Development%20of%20Air%20Quality%20Measurement.pdf
http://irep.iium.edu.my/71847/7/71847%20Development%20of%20Air%20Quality%20Measurement%20System%20using%20Raspberry%20Pi%20SCOPUS.pdf