Enhancing Air Quality with an Innovative IoT-Integrated Hybrid Air Pollution Control System

Particulate matter (PM) of 2.5 is the most severe air pollution problem facing the waste processor industry. Integrating Internet of Things (IoT) technology into hybrid wet scrubbers in combustion processes represents a significant leap forward in environmental monitoring and management. IoT enables the instantaneous tracking and regulation of waste processor factories in air pollution control, with the wet scrubber's adsorption system allowing for swift adjustments to changing conditions, thereby enhancing pollutant elimination's effectiveness. The removal efficiency of particulate matter of 2.5 microns (PM2.5) using an innovative air pollution system with an IoT system for PM2.5 real-time monitoring was investigated. IoT's remote monitoring and management capabilities allow for the flexible control of air pollution processes from any location with internet access, offering a promising future for air quality control. This research aimed to an effective IoT system for air pollution control and to create an effective air pollution control system, define objectives and requirements, select appropriate air quality sensors, deploy them strategically, establish a robust communication infrastructure, collect and store data, develop real-time monitoring and alerts, analyze data, and create visualizations. Integrate external data sources like weather information and traffic patterns to understand pollution levels. Implement control mechanisms based on analysis to mitigate pollution. Develop a user interface and public awareness to educate the public about air quality. Ensure compliance with local and national air quality monitoring and control regulations. Regularly maintain and calibrate sensors, plan system upgrades, and establish a feedback loop for continuous improvement with sustainable Health.