Performance evaluation of portable air quality measurement system using raspberry Pi for remote monitoring

United Nations’ Sustainable Development Goals focuses on good health and well-being for all. Air pollution becomes a huge threat to delivering on the vision of a better world and related at least to Goal 3, 7, 11, and 13. In Malaysia, air pollution index were monitored on 68 locations. The Departmen...

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Bibliographic Details
Main Authors: Gunawan, T.S (Author), Janin, Z. (Author), Kartiwi, M. (Author), Mohd Pu’ad, M.F (Author)
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2019
Subjects:
Online Access:View Fulltext in Publisher
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LEADER 02540nam a2200277Ia 4500
001 10.11591-ijeecs.v17.i2.pp564-574
008 220121s2019 CNT 000 0 und d
020 |a 25024752 (ISSN) 
245 1 0 |a Performance evaluation of portable air quality measurement system using raspberry Pi for remote monitoring 
260 0 |b Institute of Advanced Engineering and Science  |c 2019 
650 0 4 |a Air pollution 
650 0 4 |a Air pollution index 
650 0 4 |a Air quality measurement 
650 0 4 |a Gas sensors 
650 0 4 |a Internet of things 
650 0 4 |a PM2.5 
650 0 4 |a Raspberry Pi 
650 0 4 |a Remote monitoring 
856 |z View Fulltext in Publisher  |u https://doi.org/10.11591/ijeecs.v17.i2.pp564-574 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073834883&doi=10.11591%2fijeecs.v17.i2.pp564-574&partnerID=40&md5=583e76a401833c09198e38af42ee82c8 
520 3 |a United Nations’ Sustainable Development Goals focuses on good health and well-being for all. Air pollution becomes a huge threat to delivering on the vision of a better world and related at least to Goal 3, 7, 11, and 13. In Malaysia, air pollution index were monitored on 68 locations. 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. The objective of this paper is to develop a portable air quality measurement system which can measure particulate matters (PM) smaller than 10 and 2.5 microns, and four hazardous gasses, including carbon monoxide, sulphur dioxide, ground level ozone and nitrogen dioxide, as well as humidity and temperature. Six sensors were used and validated using several rigorous experiments. 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 air pollutants instantly. Furthermore, equipped with the mobile internet, geo-tagged GPS location and web server on Raspberry Pi, the developed portable system could be accessed remotely. Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved. 
700 1 0 |a Gunawan, T.S.  |e author  
700 1 0 |a Janin, Z.  |e author  
700 1 0 |a Kartiwi, M.  |e author  
700 1 0 |a Mohd Pu’ad, M.F.  |e author  
773 |t Indonesian Journal of Electrical Engineering and Computer Science  |x 25024752 (ISSN)  |g 17 2, 564-574