IoT Based Air Quality Detection and Monitoring System

Saiye, Y. D. and AJOSE-ISMAIL, B. M. (2020) IoT Based Air Quality Detection and Monitoring System. International Journal of Research and Innovation in Applied Science, 5 (7). pp. 66-68. ISSN 2454-6194

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Abstract

The tremendous increase in the level of unclean emissions from industries and automobiles including the growth of civilization has resulted to the creation of serious environmental issues like greenhouse effect and diseases. Poor air quality is extremely difficult for human beings to feel or sense; thus, most people cannot tell whether or not indoor air quality is bad. In light of the aforementioned, there is an imminent need for an efficient, effective and widely-accessible indoor air quality monitoring system that can provide an intuitive sense of air quality conditions in indoor environments. In this project, an air pollution monitoring system is proposed. Arduino Uno microcontroller was used as the backbone to develop the wireless sensor network system. In order to monitor and analyze air quality in real-time and log data to a remote server whilst keeping the data updated over the internet, the air pollution monitoring system was designed for this particular purpose. Parts per Million (PPM) was used as a metric to obtain air quality measurements which was analyzed using Microsoft Excel. The result was displayed on the designed hardware’s display interface and could be accessed via the cloud on any smart mobile device.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mr. Bolanle Yisau I.
Date Deposited:	07 Jun 2021 10:38
Last Modified:	07 Jun 2021 10:38
URI:	http://eprints.federalpolyilaro.edu.ng/id/eprint/1649

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