Development of Airborne Particle Filtering System Using IoT

Design and development of an innovative air-borne particle filtering system integrated with Internet of Things (IOT) technology. The proposed system is an automated device that filters dust particles from the atmosphere using an embedded system approach. It comprises two main components: the filtering unit and the embedded control system with IOT connectivity. The embedded control system incorporates a Arduino uno, which regulates the speed of the DC motors based on real-time air quality data obtained from a dust sensor. The system leverages IOT technology to enable remote monitoring and control of the air quality. The microcontroller interfaces with an IOT module or a Wi-Fi/Ethernet interface, allowing data logging, monitoring, and remote control through a cloud-based platform or local network. Real- time air quality data, including dust particle concentrations, can be accessed and monitored remotely, enabling facility managers and environmental health and safety personnel to track air quality conditions effectively. By implementing this air-borne particle filtering system with IOT integration, textile facilities can proactively address the issue of dust particles in the workplace, promoting a healthier and safer environment for employees while ensuring compliance with occupational health and safety regulations.