A calibrating method of roadway wind resistance based on air volume

Ventilation network analysis is the basis for decision-making and control of mine ventilation system (MVS). It is crucial that the wind resistance (WR) in each branch of the mine ventilation network has a sufficiently small margin of error. WR is typically measured using precision barometers via a simultaneous measurement approach, or it is derived from empirical formulas based on the roadway's parameters. In practice, on-site measurements are often time-consuming and labor-intensive, and empirical formulas frequently introduce significant errors. Such errors complicate the calculation of precise airflow information, thereby impeding the accurate control of air volume. Here, we propose a WR calibrating method for roadways based on air volume. This method establishes a quadratic programming (QP) optimization model to calculate the equivalent wind resistance (EWR), utilizing actual air volume measurements and the historical wind resistance (WR) data. Moreover, the inequality constraints and weight selection of the roadway are discussed and tested. Finally, on-site verification (Ma-cheng Iron Mine in November 2023) was carried on. We find that after our method of WR calibration, the results of the ventilation network calculation were significantly more in line with the actual air distribution in the mine's roadways compared to the results without calibration. Overall, our method obtains the globally reasonable EWR and provides a reliable guarantee for air volume monitoring and regulation.