Anan Ravi,
Aman Firoj Devale,
Farhan Raja Jamadar,
A. O. Mulani,
- Student, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
- Professor, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
Abstract
Air pollution has emerged as one of the most serious environmental challenges of the modern era, posing significant threats to human health, ecological balance, and overall quality of life. Rapid industrialization, urbanization, increasing vehicular emissions, and the extensive use of fossil fuels have led to a continuous rise in air pollutant levels, especially in densely populated urban areas. Air pollution has emerged as a major environmental and public health concern due to its long-term impact on human health, ecological balance, and climate. Continuous exposure to contaminated air can contribute to respiratory illnesses, cardiovascular diseases, decreased life expectancy, and environmental degradation. Therefore, the implementation of reliable systems for continuous air quality assessment has become increasingly important to support environmental monitoring and informed decision-making. This project presents the design and implementation of a real-time Air Monitoring System that continuously measures and evaluates key air quality parameters. The proposed system integrates multiple environmental sensors to detect harmful pollutants, including carbon monoxide (CO), carbon dioxide (CO₂), nitrogen dioxide (NO₂), ozone (O₃), and particulate matter (PM2.5 and PM10). These pollutants are widely recognized as significant indicators of ambient air quality and are commonly monitored to evaluate pollution severity and potential health hazards. The acquired sensor readings are processed using a microcontroller platform, such as Arduino or Raspberry Pi, which enables efficient data collection, filtering, and management. The processed information is subsequently transmitted to a cloud-based server for secure storage, real-time monitoring, and historical data analysis. A dedicated web or mobile application provides users with remote access to air quality information, allowing them to visualize current pollution levels, monitor long-term trends, and receive notifications whenever pollutant concentrations exceed predefined safety thresholds. The proposed Air Monitoring System is designed to be affordable, portable, and easily scalable, making it suitable for deployment across a wide range of environments, including urban regions, industrial facilities, educational campuses, and residential communities. By enabling continuous environmental surveillance and timely access to air quality information, the system can support pollution management strategies and contribute to improved public health and environmental sustainability. By providing real-time information and raising public awareness, the system 8supports informed decision-making, environmental planning, and proactive measures to reduce the impact of air pollution on human health and the ecosystem.
Keywords: Air quality monitoring, Internet of Things (IoT), Gas sensors, Particulate matter (PM2.5, PM10), Real-time data acquisition, Cloud computing, Air quality index (AQI).
[This article belongs to International Journal of Environmental Noise and Pollution Control ]
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| Volume | 04 | |
| Issue | 02 | |
| Received | 04/05/2026 | |
| Accepted | 03/08/2026 | |
| Published | 28/08/2026 | |
| Publication Time | 116 Days |