IJBTT

Air Quality Monitor using Arduino
	© 2021 by IJCTT Journal
	Volume-69 Issue-7
	Year of Publication : 2021
	Authors : Anannya Patra, Arvind S, Gautham M K, Sreelatha R
	DOI :  10.14445/22312803/IJCTT-V69I7P104

How to Cite?

Anannya Patra, Arvind S, Gautham M K, Sreelatha R, "Air Quality Monitor using Arduino," International Journal of Computer Trends and Technology, vol. 69, no. 7, pp. 29-34, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I7P104

Abstract
Indoor Air Quality (IAQ), of late, has been an increasing cause for concern due to its worrisome effects on human health. Indoor surroundings undoubtedly contain pollutants, and their presence has only increased in recent decades due to factors like constructions, furnishings, cooking fuels, personal care products, pesticides, household cleaners, and more. Multiple studies have shown time and again that we humans spend a large amount of our time indoors. Even more concerning is the fact that the ongoing COVID-19 pandemic is forcing us to stay indoors for longer than ever before. This calls for an analysis of our indoor surroundings, the silent pollutants present within, and their corresponding effects on our health. With this research work, we present an efficient, low cost and user-friendly indoor air quality monitor developed with an IoT-based sensor network coupled with the Arduino Uno. The resulting system can sense the presence of taint gases like CO, CO2, CH4, SO2, Acetone, and NH3. Sensor data is sent to the cloud, logged, and exposed to the user through interactive graphs. Alerts are provided over email to let the user know in case the optimal threshold for any of these gases is breached.

Keywords
Air quality Monitor, Arduino, Internet of Things Sensors.

Reference

[1] R. Kiruthika and A. Umamakeswari., Low-cost pollution control and air quality monitoring system using Raspberry Pi for Internet of Things., 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), (2017) 2319-2326, doi: 10.1109/ICECDS.2017.8389867.
[2] T. H. Nasution, A. Hizriadi, K. Tanjung and F., Nurmayadi, Design of Indoor Air Quality Monitoring Systems., 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), (2020) 238-241, doi: 10.1109/ELTICOM50775.2020.9230511.
[3] Y. Han, N. Zhu, N. Lu, J. Chen, Y. Ding, and Y. Han., The Sources and Health Impacts of Indoor Air Pollution, 4th International Conference on Bioinformatics and Biomedical Engineering, (2010) 1-4, doi: 10.1109/ICBBE.2010.5515150.
[4] A. Tapashetti, D. Vegiraju, and T. Ogunfunmi., IoT-enabled air quality monitoring device: A low-cost smart health solution, 2016 IEEE Global Humanitarian Technology Conference (GHTC), (2016) 682-685, doi: 10.1109/GHTC.2016.7857352.
[5] R. Saha, S. N. M. A. Hoque, M. M. R. Manu, and A. Hoque., Monitoring Air Quality of Dhaka using IoT: Effects of COVID19., 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (CREST), (2021) 715-721, doi: 10.1109/ICREST51555.2021.9331026.
[6] M. Y. Thu, W. Htun, Y. L. Aung, P. E. E. Shwe, and N. M. Tun., Smart Air Quality Monitoring System with LoRaWAN, 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), (2018) 10-15, doi: 10.1109/IOTAIS.2018.8600904.
[7] A. Mir and A. Khachane.m., Sensing Harmful Gases in Industries Using IOT and WSN, Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), (2018) 1-3, doi: 10.1109/ICCUBEA.2018.8697380.
[8] M. Ibrahim, A. Elgamri, S. Babiker, and A. Mohamed., Internet of things based smart environmental monitoring using the Raspberry-Pi computer., Fifth International Conference on Digital Information Processing and Communications (ICDIPC), (2015) 159-164, doi: 10.1109/ICDIPC.2015.7323023.
[9] Marilena Kampa, Elias Castanas., Human health effects of air pollution”, Environmental Pollution, 151(2) (2008) 362-367, ISSN0269-7491, https://doi.org/10.1016/j.envpol.2007.06.012.
[10] M. P. Silva et al., Implementation of IoT for Monitoring Ambient Air in Ubiquitous AAL Environments., Brazilian Symposium on Computing Systems Engineering (SBESC), (2015) 158-161, doi: 10.1109/SBESC.2015.37.
[11] A.K. Saha et al., A raspberry Pi-controlled cloud based air and sound pollution monitoring system with temperature and humidity sensing., 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), (2018) 607-611, doi: 10.1109/CCWC.2018.8301660.
[12] S. Kumar and A. Jasuja., Air quality monitoring system based on IoT using Raspberry Pi, International Conference on Computing, Communication and Automation (ICCCA) (2017) 1341-1346, doi: 10.1109/CCAA.2017.8230005.
[13] Jones, Andy P., Indoor air quality and health., Atmospheric environment 33.28 (1999) 4535-4564.
[14] M. F. Mohd Pu`ad, T. S. Gunawan, M. Kartiwi, and Z. Janin., Development of Air Quality Measurement System using Raspberry Pi, IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), (2018) 1-4 doi: 10.1109/ICSIMA.2018.8688748.
[15] A. A. Ibrahim., Carbon Dioxide and Carbon Monoxide Level Detector., 2018 21st International Conference of Computer and Information Technology (ICCIT), (2018) 1-5 doi: 10.1109/ICCITECHN.2018.8631933.