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Wind network analysis is the basis for decision-making and control. Tunnel wind resistance is generally measured using precision barometers via a simultaneous measurement method. This method is inherently and inevitably subject to error, and may even calculate a negative wind resistance that does not match the actual wind network calculations. It can lead to analysis and alarms of the intelligent ventilation system as well as malfunctions of the intelligent control module. In order to solve the above problems, this paper proposes a wind volume-based tunnel wind resistance correction adjustment method. This method comprehensively considers the air volume and wind resistance data of the tunnel, and applies equation constraints based on the balance law of the loop wind pressure. Then, inequality constraints are applied to prevent negative values of the tunnel wind resistance. Finally, a completely smooth Newton iteration method is used to adjust the secondary planning of the tunnel wind resistance adjustment of the entire ventilation network. It obtains the globally optimal and negative values of tunnel wind resistance adjustment that meets the actual wind distribution results, providing a reliable guarantee for accurate air volume prediction and wind regulation decision-making in the mine intelligent ventilation system.