Abstract: The measurement of ventilation resistance in mines is a key task in ventilation technology management. Through the obtained ventilation resistance data, the magnitude and distribution of ventilation resistance in underground coal mines can be understood and mastered, providing a basic basis for the adjustment of mine air volume and the optimization design of ventilation systems. This paper aims at the problems of low data processing efficiency and strong professional operation in the measurement of ventilation resistance in traditional mines. Guided by graph theory and the theory of mine ventilation network, combined with the requirements of intelligent ventilation, and using the MATLAB App Designer design tool, a set of data processing system for the measurement of ventilation resistance in mines has been developed. This system adopts the modular design concept, utilizes the App Designer component and designs callback functions to construct core functional modules such as static pressure, density, cross-sectional wind speed, potential pressure and velocity pressure. By inputting the measured raw data into the corresponding required positions of each module, The system will automatically generate the measurement results of ventilation resistance and judge the rationality of the data in accordance with the relevant regulations: the accuracy of the relevant values is less than or equal to 5%. The application shows that this system platform significantly improves the efficiency of data processing, is easy to operate, and its excellent visual human-computer interaction interface effectively lowers the operation threshold, demonstrating good engineering practicability.