Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study

Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can gi...

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Main Authors: Alkandari, Abdulrahman Abdullah (Author), Moein, Samer (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-04-01.
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LEADER 02130 am a22003013u 4500
001 ijeecs11064_8171
042 |a dc 
100 1 0 |a Alkandari, Abdulrahman Abdullah  |e author 
100 1 0 |e contributor 
700 1 0 |a Moein, Samer  |e author 
245 0 0 |a Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study 
260 |b Institute of Advanced Engineering and Science,   |c 2018-04-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/11064 
520 |a Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can give accurate readings that can be analyzed and manipulated, and can even provide warnings through sending emails. These requirements are found in the Raspberry Pi when it hooked up to the sensors. This paper was focused on few dangerous gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and other gases. The results in this paper showed that some gases, specifically CO, may be a problem in Kuwait as it is always slightly below the warning level. The success with the Raspberry Pi and the results were encouraging to open the way for much improvement in the future. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Environment Monitoring system; Air Quality; Raspberry Pi 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 10, No 1: April 2018; 43-49 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v10.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/11064/8171 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/11064/8171  |z Get fulltext