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The sensitivity analysis is an important analysis method to realize the intelligent control of branch air volume for the mine ventilation network. Aiming at the current situation that the ventilation on-demand (VOD) regulation cannot meet the large demand for air volume in specific air consumption branches in mine, this paper proposed a multi-branch wind resistance joint regulation method based on sensitivity analysis of the ventilation network. Based on the sensitivity theory, the concept of sensitivity change rate was proposed to quantitatively analyze the change law of the sensitivity of branch air volume to multi-branch air resistance, and the calculation formula of the sensitivity change rate matrix was obtained. The Lagrangian interpolation method is used to further optimize the relationship between air volume sensitivity and wind resistance. By using the loop air volume method to calculate and analyze a large number of ventilation networks, the adjustable range of wind resistance was determined and the air volume dispatching calculation model for multi-branch was established, which can more efficiently, accurately, and reliably adjust the branch air volume. This theory was applied to the optimal selection of regulating branch set and stability analysis of branch air volume. Finally, the rationality of this theory is verified through case analysis. In addition, this theory can also be applied to the preparation of emergency plans and the rapid prediction of the changing trend of the branch air volume during the disaster period.

Multi-branch joint adjustment method of mine ventilation based on sensitivity