RespiroPure: Advancing Air Quality Management Through Intelligent and Automated Purification Systems
Industrial air pollution poses severe health risks, particularly respiratory issues like asthma, due to airborne particulate matter. This research proposes an advanced, fully automated air purification system to address these challenges. The system focuses on real-time air quality monitoring and employs responsive purification mechanisms to minimize harmful pollutants. By integrating advanced filtration technologies and exploring additional innovative methods, the system ensures efficient reduction of airborne contaminants, particularly in industrial regions. The proposed solution autonomously detects pollutants and activates purification processes, offering a sustainable and proactive approach to mitigate the health impacts of industrial emissions. This research emphasizes enhancing public health, particularly for vulnerable populations, by providing a cleaner and healthier environment. The system's automation, combined with modern engineering techniques, presents a viable, scalable solution to improve air quality and reduce pollution-related diseases. Ultimately, this work contributes to fostering long-term well-being in communities affected by industrial pollution.
Authors
- R. Ranjana
- T.D. Subha (ORCID: https://orcid.org/0000-0003-2040-948X)
- G. Jagadeesh (ORCID: https://orcid.org/0000-0002-5495-9351)
- Vkg Kalaiselvi
- A Hemalatha
- R Sandhiya
Institutions
- National Institute of Technical Teachers’ Training and Research (IN)
- National Institute of Technical Teachers Training and Research, Chandigarh (IN)
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11019813
- Citations
- 1
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.80