SmartBreathe: IoT-Integrated Community Air Purification System Enhancing Air Quality and Health in High-Pollution Urban and Industrial Areas
Authors: - Sourish Dey , - Diksha Kumari , - Penta Mourya , - Koushik Paul 
Published: December 2024

Abstract:-
This paper describes the development and deployment of a community-based air purification system that is expected to combat highly polluted air in high-density urban areas. By using the principles of IoT, this system is composed of several interconnected units that purify air together, working in a way that ensures their continuous real-time monitoring, analysis, and purification of the air. Each of the network units is adaptive with a dynamic configuration of its operation parameters with respect to the latest pollution levels, which are monitored by numerous environment sensors. The device is designed with distributed architecture for hotspot control at which monitoring units as well as an air purification system are adjusted dynamically relative to the surrounding conditions.

The IoT-based approach ensures better efficiency in control of pollutants because it is supportive of localized sense and response mechanisms using data that correlates directly. Real-time monitoring of air-quality indicators, such as PM2.5 and PM10, NO₂, CO, O₃, and VOCs helps evaluate pollution levels and their trend in each monitored zone. Metrics are key parameters in optimized unit operation by increasing airflow, adjusting filtration intensity, or activating the higher purification mechanisms during episodes of high pollution.

Each air purifier is attached to a central Internet of Things platform, which analyzes the compiled data to draw insights about pollution patterns' spatial distribution and monitor changes in the environment. This approach based on data will usher in valuable insights in the decision-making space both at community and municipal levels as it pinpoints sources of pollution that persist, measures the progress of mitigation, and supports the development of targeted interventions. It helps the system adapt according to real-time pollution data and predictive analytics while adjusting its power usage, filtration rates, and operational timing. Adaptivity will take in less energy consumption while increasing the system's lifetime, which at the same time opens up responsive and efficient air purification in every specific zone.

The system is designed to enhance public health outcomes, especially with regard to respiratory health, and the quality of life of residents in densely populated communities by reducing air pollutants. Chronic exposure to airborne pollutants is an established risk factor for numerous health conditions that range from asthma and bronchitis to cardiovascular diseases and cancer. Locally, therefore, air purification can greatly impact community health more so in vulnerable populations like the children, the elderly, and those with pre-existing conditions. The initiative also aims at contributing to sustainable urban planning where residents have a say in the process, thereby making them participate more in managing air quality by seeing transparency and accountability in efforts made towards reducing pollution.