REAL-TIME AIR QUALITY MONITORING USING IOT
Authors/Creators
Description
The rapid urbanization and industrialization of modern societies have led to a significant increase in air pollution,
posing severe health risks and environmental challenges. To address this critical issue, an IoT-based air pollution
monitoring system emerges as a promising solution. This system leverages the capacities of Web of Things to
provide real-time, accurate, and comprehensive air quality data, enabling timely responses and informed decisionmaking. By integrating various sensors and devices, the system continuously monitors key pollutants such as
particulate matter (PM2.5 and PM10), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and
ozone (O3). These sensors, strategically placed in urban and industrial areas, transmit data to a centralized cloud
platform via wireless communication technologies. The cloud platform processes and analyzes the incoming data,
presenting it through user-friendly interfaces such as mobile applications and web dashboards. This accessibility
ensures that both authorities and the general public stay informed about the air quality in their vicinity.
Additionally, the framework utilizes AI calculations to predict pollution trends and identify potential sources,
further enhancing its effectiveness. The deployment of an IoT-based air pollution monitoring system also
facilitates the implementation of smart city initiatives, contributing to the improvement of sustainable urban
environments. By providing real-time alerts and long-term analytics, this system empowers communities to take
proactive measures, such as the execution of c management and industrial regulation, to mitigate pollution levels.
Furthermore, the incorporation of IoT with different innovations like block chain can ensure data integrity and
transparency, fostering public trust in the system. The scalability of this solution allows for widespread adoption,
from densely populated cities to rural areas, ensuring a comprehensive approach to air quality management. In
summary, an IoT-based air pollution monitoring system represents a transformative approach to environmental
monitoring, offering real-time data, predictive insights, and broad accessibility, ultimately leading to healthier
communities and a cleaner environment.
Files
JAN36.pdf
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Additional details
Software
- Repository URL
- https://ijetrm.com/issue/?volume=January~2026&pg=2