Development and application of a mine ventilation resistance measurement data processing system

Mine ventilation resistance measurement data are an important basis for regulating air volume and optimizing the ventilation system. To address the problems of low efficiency and high operational complexity in traditional mine ventilation resistance data processing, a mine ventilation resistance measurement data processing system was developed using MATLAB App Designer. The system adopted a modular design and implemented component interaction through callback functions, and constructed a complete data processing chain for mine ventilation resistance measurement with seven core functional modules, including basic data collection, static pressure, density, cross-sectional air velocity, potential pressure and velocity pressure, data summary, and distribution along the route. The measured raw data were imported or manually entered into each module, and the system automatically generated ventilation resistance measurement results. Field application results showed that the system calculated mine ventilation resistance quickly and accurately, with an error of 1.74% compared with the measured values. The system determined the operating status of the ventilation system based on ventilation resistance and its distribution, external leakage rate, and effective air volume rate, in accordance with the provisions of the Coal Mine Safety Regulations. Through a visual human–computer interaction interface, the system reduces the difficulty of operation and demonstrates good engineering applicability.