Influence of Particle Adhesion and Dust Properties on Measurement Errors of Different Dust Monitoring Methods in Mining Environments

Accurate measurement of ultra-fine dust concentration is crucial for effective dust control and safe mining. However, the precise detection of dust concentration during mining has not been fully addressed. This study established a controllable laboratory system to investigate the relative errors of two dust monitoring methods based on different measurement principles, and to analyze the relationship between particle attachment and measurement errors. Using a laser dust monitor and a double-head sampler, three concentration levels were tested on three representative dust samples (coal dust, carbon powder, and SiO₂). The relative errors of the two sampling methods were evaluated by the system, and the relationship between the actual values and the measured values was determined through fitting analysis. Additionally, the causes of particle attachment were further explored using characterization methods. The results showed that the relative error was larger at high concentrations. For the laser dust monitor, the relative error ranged from 85.30% to 97.39%, while for the double-head sampler, the relative error was between 46.18% and 82.05%. Particle size, dust characteristics, and attachment behavior significantly affect the accuracy of dust concentration measurement, providing a reference basis for subsequent mining operations and research.