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Research Article

Air Quality Monitoring System

Open Access Peer Reviewed Crossref DOI

Authors

  • Karpagam N1
  • Abirami M2
  • Revathi R3
  • Arun kumar S4

12 Information Technology, V.S.B College of Engineering Technical Campus/ Anna University, Tamilnadu, India. 34Assistant professor, Information Technology, V.S.B College of Engineering Technical Campus/ Anna University, Tamilnadu, India.

Article Information

Published Online
May-June 2023
Pages
176-180
Article Type
Research Article
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Abstract

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Abstract: In both developed and developing countries, air pollution is increasing daily, compromising the air quality index and causing harm to everyone. Some of the reasons for this rapid increase in air pollution include the growing population, rising number of industries, rapid urbanization, and excessive use of fuel-consuming transportation. Hence, there is an ever-increasing need to monitor air quality using an energy-efficient, ubiquitous and connected manner. The system presented in this project is an advanced real time air quality reporting system supported with Internet Of things (IOT) architecture. The term Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. Degrading air qualit has been a matter of concern nowadays and real time monitoring of air quality helps us to keep a check on it.Air Quality is the scale to measure how polluted the air is. Greater air pollution indicates more dangerous air is for human health. The model presented here uses a combination of the Arduino IDE software and hardware along with a Gas sensors - MQ135, temperature and humidity sensor which help in detecting gases like NO2, CO, Ammonia, and Sulphide. Live location tracking and Data updating will also be done with the help of GPS and IOT. Further, this research work monitor the Air Quality over an IOT analytics application BLYNK using internet connected with the hardware. It can also integrate the real time data into our mobile phone app. The circuit finally displays the PPM values as well as Air Quality level of gases on an Android application which fetches data from sensor through IoT. The current model is implemented successfully and can be deployed for real system implementations.

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