Air Quality Index Monitoring System using IOT

Air Quality Index Monitoring System using IOT

Er. Shivani Sharma Dept. of Computer Science &

Engineering Chandigarh University Mohali,

Punjab, India shivani.e16453@cumail.in

Devam Kumar

Dept. of Computer Science & Engineering

Chandigarh University Mohali, Punjab, India email2devam@gmail.com

Ankush Saini

Dept. of Computer Science & Engineering

Chandigarh University Mohali, Punjab, India ankush827822@gmail.com

Abstract–– A number of reasons, including industries, urbanization, population growth, and automobile use, are contributing to the rapid increase in pollution levels that may be detrimental to human health. A web server and the Internet are employed by an IOT-based air pollution monitoring system to monitor the condition of the air. The alarm will go off when the air quality drops below a present threshold and the number of dangerous substances—like alcohol, cigarettes, CO2, benzene, NH3, and NOx—in the air is sufficiently high. The LCD and website's display of the air quality in parts per million will make monitoring air pollution very simple. Without a doubt, we require an air quality monitoring system to determine whether it is safe to leave the house and travel. Air pollution poses a major hazard to both the ecology and public health. Regular monitoring and assessment of the air quality is necessary to comprehend pollution levels and take the necessary action to mitigate its effects. This investigation presents a cutting-edge Air Quality Index (AQI) monitoring system that is based on the Internet of Things (IoT) and is designed to deliver real-time, precise, and accessible air quality data. The suggested system consists of a network of IoT sensors that are carefully positioned throughout different sites within a region. These devices are equipped with environmental sensors that can measure critical air quality indicators, including particulate matter (PM2.5 and PM10), volatile organic compounds (VOCs), carbon monoxide (CO), nitrogen dioxide (NO2), and ozone (O3). Data is gathered by these sensors and wirelessly sent to a central computer for processing and analysis. The central server uses advanced data analytics algorithms to calculate the Air Quality Index (AQI) for each site in real-time. An easy way to compare different places is with the Air Quality Index (AQI), a standardized statistic that provides an accurate evaluation of air quality and quantifies air pollution levels. The system also visualizes data via an easy-to- use web-based interface and mobile applications, making it easy for the general public, local government officials, and researchers to get information about air quality. When AQI values exceed predetermined levels, the system can broadcast warnings and messages, allowing for a swift response in the event of deteriorating air quality. This function is critical for protecting public health and improving urban planning and traffic control.