Air Quality Measurement: Digital Dashboard Using Smartphone

R. Deepalakshmi¹ , R. Vanitha² , M. Shivashankari³ , J. Jeyarani⁴ , S. Shanthi⁵

Section:Research Paper, Product Type: Journal
Vol.10 , Issue.1 , pp.11-16, Mar-2022

Online published on Mar 31, 2022

Copyright © R. Deepalakshmi, R. Vanitha, M. Shivashankari, J. Jeyarani, S. Shanthi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
— In cities all over the globe are transforming into smart cities. Smart cities initiatives need to address environmental concerns such as air pollution to provide clean air. A scalable and cost-effective air monitoring system is imperative to monitor and control air pollution for smart city development. Air pollution has notable effects on the well-being of the population a whole, global atmosphere, and worldwide economy. This paper presents a scalable smart air quality monitoring system with low cost sensors and long-range communication protocol. The sensors collect four parameters, temperature, humidity, dust and carbon dioxide in the air. The proposed end-to-end system has been implemented and deployed in Yangon, the business capital of Myanmar, as a case study since Jun 2018. The system allows the users to log in to an online dashboard to monitor the real-time status. In addition, based the collected air quality parameters for the past two months, a Machine Learning model has been trained to make predictions of parameters such that proactive actions can be taken to alleviate the impacts from air pollution.

Key-Words / Index Term :
Temperature, Humidity, Dust and Carbon dioxide, Machine Learning omponent, Formatting, Style, Styling, Insert

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