DOI: 10.11799/ce202511020
Accurate perception of temporal wind speed in mine shafts for intelligent ventilation
LIU Xingshu
GUO Chenyang
LI Yucheng
XING Kai
YANG Huijie
DIAO Youpeng
HE Guanghui
MA Xiangbing
Abstract：Accurate perception of air velocity in mine shafts is a core link in realizing intelligent ventilation systems.However,current monitoring results in mine shafts suffer from significant errors due to airflow fluctuations caused by turbulent disturbances.To eliminate such errors,an adaptive and accurate perception algorithm for shaft air velocity is proposed.Through prediction and update steps,combining with adaptive adjustment of model errors,the algorithm continuously optimizes air velocity estimation,reduces data noise,thereby eliminates the effects of turbulence.Continuous 600-second monitoring was conducted for six shaft air velocities:0.15,0.50,2.00,5.00,10.00,and 15.00 m/s,and the monitoring data were corrected using the proposed algorithm.The analysis results show that compared to the monitored data,the algorithm-corrected data significantly approach the expected values,with accuracy improvements of 73.56%,65.04%,56.24%,61.38%,71.04%,and 69.63%,respectively.This algorithm provides accurate and reliable data support for intelligent ventilation systems and promotes the development of mine intelligence.
Keywords：intelligent ventilationair velocity monitoringaccurate perceptionmodel error
Publication Date：2025-11-20
Online Publishing Date：2026-01-15(First online date of this platform, not the publication date of the document)
Pages：9( 158-166 )