Design and Development of Web Application Using AI Based Sensors for Improving Air Quality Index

International Journal of Electronics and Communication Engineering

© 2024 by SSRG - IJECE Journal

Volume 11 Issue 5

Year of Publication : 2024

Authors : M. Suresh Babu, D. Asha Devi, A.Pranayanath Reddy, Sudeepthi Govathoti

10.14445/23488549/IJECE-V11I5P107

How to Cite?

M. Suresh Babu, D. Asha Devi, A.Pranayanath Reddy, Sudeepthi Govathoti, "Design and Development of Web Application Using AI Based Sensors for Improving Air Quality Index," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 5, pp. 69-77, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I5P107

Abstract:

This paper presents a Web-based platform for monitoring air quality that consists of a web server and the "SmartAir" Air quality sensor. This platform uses cloud computing and the Internet of Things to track air quality everywhere, at any time, through seamless connectivity and powered AI through an LTE modem. Based on IoT technology, Smart-Air was created to effectively monitor air quality and send data to a web server through LTE in real time. A microprocessor, sensors for pollutant detection, and an LTE modem make up the device. In order to monitor the quality of the air, the research equipment was created to detect the concentration of aerosol, VOC, CO, CO2, Particulate Matter, SO2, NO2, and temperature-humidity. The device was then successfully reliability tested by adhering to the Pollution Control Board's recommended protocol. In order to identify and visualise air quality in accordance with the Pollution Control Board and regulatory standards, Ubiquitous computing has also been integrated into a web server for data analysis from the device. To aid in tracking the air quality, an app was created. Consequently, authorised staff can use the web server or the application to check the air quality at any time and from anywhere. Artificial Intelligence (AI) plays a significant role in improving the Air Quality Index (AQI) through various applications and processes.  The backend server stores all data which is accumulated from different sources and provides resources for further analysis of indoor air quality.

Keywords:

Web server, LTE Modem,  Artificial Intelligence,  Air Quality Index, Sensor.

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