传统曲房通过人工开关门窗和向曲房内撒水的方法来调节曲房内相对湿度，受自然环境的影响，很难保证不同位置大曲质量等级一致。需要掌握曲房内加湿装置对曲块发酵过程中湿度调控的变化规律，实现曲房内相对湿度的实时调控。基于曲房三维紊流模型，以曲房加湿过程中的相对湿度为研究对象，结合多孔介质模型及组分传输模型，运用Fluent软件对曲房加湿过程进行数值模拟，同时结合现有曲房加湿试验平台对曲房模拟模型进行验证。加湿过程中相对湿度模拟值和试验值最大偏差为1.1%，加湿时间仅相差6.5 s，验证曲房加湿模型的有效性。通过试验研究加湿管道直径、开孔数和开孔尺寸对曲房加湿效果的影响，使用单因素和正交试验法筛选出加湿装置参数的最优组合。结果表明：当管道直径为80 mm、开孔数为6、开孔直径为30 mm，曲房加湿效果最好，与优化前的加湿装置相比，优化控制参数后的加湿装置的加湿时间缩短了6.6%，为后续曲房湿度控制研究提供了模型参考和理论数据支撑。

The relative humidity of traditional Qu workshops is controlled by opening and closing doors and windows as well as spraying water manually in the workshop. This humidity control method is greatly affected by the natural environment, and it is difficult to ensure a constant humidity. Consequently, it is difficult to maintain a consistent quality of Daqu at different locations in the workshop. To realize real-time control of relative humidity in the workshop, it is necessary to understand how the humidifying devices in the workshop affect humidity control during Daqu fermentation. A three-dimensional turbulent flow model of the Qu workshop, coupled with porous media and component transport models, was adopted to study the relative humidity during humidification of the workshop. Numerical simulation of the humidification process in the workshop was performed using Fluent. Furthermore, the model of the workshop was verified using the humidification test setup currently available. The maximum deviation between the simulated and experimental values of the relative humidity during humidification was 1.1%, and that for the humidifying time was only 6.5 s. These results demonstrate the effectiveness of the humidification model established for the workshop. The effects of the pipeline diameter, number of openings, and opening size on the humidification performance were examined experimentally. The humidification device parameters and their combination were optimized with the help of the single-factor and orthogonal test methods. Humidification was found to be optimized with 80 mm-diameter pipelines with six 30 mm-diameter openings. The humidifying time needed was reduced by 6.6% after parameter optimization compared to that before optimization. The findings of this research provide a reference for model construction in subsequent humidity control research for Qu workshops in terms of both theory and data.

四川省科技计划项目（2019YJ0475）；自贡市重点科技计划项目（2018CXJD06）