IoT-based monitoring and automated air purification system for industrial pollution control

Abstract

Industrial air pollution poses a critical public health challenge in Bangladesh, causing 102,000 premature deaths annually and reducing life expectancy by 5.5 years, yet existing monitoring and purification systems remain prohibitively expensive and ineffective for small and medium enterprises. This project developed an integrated IoT-based monitoring and automated air purification system to address this gap through real-time multi-pollutant sensing, fog-based distributed architecture, and adaptive two-stage filtration. The system was validated through controlled laboratory testing and industrial deployment at Allied Solar Energy Ltd., demonstrating 96.59% PM2.5 and 91.27% PM10 removal efficiency within 93 minutes of operation. Economic analysis revealed exceptional financial viability with 40% first-year ROI, 8.6-month payback period, and 5.31 benefit-cost ratio over five years. The low capital cost of 46,434 BDT makes the technology accessible to resource-constrained industries, potentially benefiting thousands of workers and surrounding communities while supporting regulatory compliance with Bangladesh Air Pollution Control Rules 2022.