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Development of a Low-Cost Air Quality Data Acquisition IoT-based System using Arduino Leonardo
Journal article   Open access   Peer reviewed

Development of a Low-Cost Air Quality Data Acquisition IoT-based System using Arduino Leonardo

Louis Cruz, Maria Griño, Thea Marie V Tungol and Bautista Joel
International Journal of Engineering and Manufacturing, Vol.9(3), pp.1-18
2019
DOI: https://doi.org/10.5815/ijem.2019.03.01
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Published Version Open Access CC BY V4.0
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https://doi.org/10.5815/ijem.2019.03.01View
Published Version Open CC BY V4.0

Abstract

Air monitoring Air pollution Air quality Internet of Things Monitoring systems Outdoor air quality Arduino Leonardo
Air pollution is responsible for an estimated 5.5 million deaths in 2013 which costed the global economy approximately US$225 billion in lost labor income. To address the problems caused by air pollution, this study aims to develop a low-cost and portable air quality monitoring system that detects the levels of CO, PM2.5, PM10, temperature, and humidity. Using Internet of Things (IoT), the data that the system gathers can be accessed through the internet. Moreover, the system assesses the obtained data through a comparative analysis with the AQI. The Iterative Design Loop method was used in the development of the air quality monitoring system. Furthermore, the sensors were programmed using the Arduino Integrated Development Environment (IDE). Using the Welch’s t-test, it was found that the obtained data of the system is not significantly different to that of the standard air quality monitoring systems. To achieve more accurate data from the developed system, the raw data of the developed and standard system were calibrated through an equation from the trendline. Through the use of Acer CloudProfessor, the study successfully developed an air quality monitoring system that can be accessed through the internet.

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