International Journal of Frontiers in Engineering Technology, 2024, 6(1); doi: 10.25236/IJFET.2024.060104.
Xuezhan Xu1,2,3
1School of Safety Science and Engineering, Anhui University of Science & Technology, Huainan 232001, China
2State Key Laboratory of Coal Mine Disaster Prevention and Control, Chongqing, 400039, China
3CCTEG Chongqing Research Institute, Chongqing, 400039, China
Stable and reliable operation of the ventilation system is a prerequisite to ensure efficient coal production. Yuka No.1 mine faces frequent level succession, many mining faces deployed at the same time, and a wide range of air demand points, which brings great difficulties to the distribution and control of mine airflow. For this reason, Yuka No.1 mine applies advanced CFD15 coal mine electronic anemometer and CPD120 mine intrinsically safe air pressure meter to the ventilation parameter monitoring of the key underground roadway, realizing the accurate monitoring of the ventilation network; based on the dynamic solution model of the ventilation network of the monitoring information, the abnormal analysis of the ventilation network and early warning technology, constructs the ventilation on-line monitoring and analysis and early warning system, realizing dynamic monitoring and intuitive display of the ventilation network, and providing the best solution for Yuka No.1 mine. It realizes dynamic monitoring and visual display of the ventilation network, and provides powerful support for the management and analysis of the ventilation system of Yuka No.1 Mine. The application of precise monitoring of ventilation network and intelligent identification of hidden dangers in Yuka No.1 mine is of great significance to the safe management of ventilation and safe production in the mine.
coal mine ventilation; ventilation parameters; hidden danger identification
Xuezhan Xu. Research on precise monitoring and hidden danger intelligent identification technology of ventilation network in Yuka No.1 mine. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 1: 22-28. https://doi.org/10.25236/IJFET.2024.060104.
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