Real-Time Iot Air Quality Analysis Using Arduino

Authors

  • Adnan Adel Bitar, Dr. V. Sujatha

DOI:

https://doi.org/10.17762/msea.v71i4.539

Abstract

The pollution level in our environment grows as countries become more industrialized, presenting a major hazard to all living organisms. Pollution levels increase rapidly as a result of factors such as industry, urbanization, population growth, and car use, all of which impair human health. Air pollution is the most serious environmental problem, causing a variety of human ailments and contributing to global warming. To prevent the negative imbalance in nature, a pollution monitoring system is essential. This model tracks the pollutant PM2.5 in the air, which people may readily inhale and let to enter our lungs and bloodstream, causing major health concerns. We proposed design includes a hardware module, such as a dust sensor, and software architecture for remotely monitoring pollution data through a single web-based graphical application that may be utilized in industrial regions and traffic areas to monitor air quality levels. Furthermore, air pollutant information should be presented in public locations so that everyone is aware of the pollutants levels around them.

Downloads

Published

2022-08-24

How to Cite

Adnan Adel Bitar, Dr. V. Sujatha. (2022). Real-Time Iot Air Quality Analysis Using Arduino. Mathematical Statistician and Engineering Applications, 71(4), 600–610. https://doi.org/10.17762/msea.v71i4.539

Issue

Section

Articles