Abstract:
Dust emission from quarry crushers poses health risks and environmental concerns, especially
in unregulated industrial settings. This project focused on the design of an automated dust
suppression system that detects and controls airborne particulate matter using real-time
monitoring. A review of related technologies highlighted the efficiency of sensor-based
automation and the effectiveness of water-based suppression methods. The system was
developed using a DSM501A dust sensor, an Arduino Uno microcontroller, a relay and a water
pump, with data displayed via an LCD and logged on the serial monitor. In the methodology,
simulated dust values were used to test the system response to varying concentrations, with the
threshold set at 5000 µg/m³ as per OSHA guidelines. Results show a significant reduction in
dust levels post-activation of the system, with efficiency above 70% in most trials.
Additionally, the economic analysis confirmed the system’s viability with a project pay back
period of less than three years. The solution presents a scalable and cost-effective approach for
enhancing air quality in quarry environment.
