为探究影响喷雾降尘效果的主要因素对喷雾降尘后煤尘粒度的作用规律，获得表征影响因素与喷雾降尘后煤尘的粒径参数间定量的数学模型。基于搭建的喷雾除尘综合实验平台，应用正交试验和回归分析方法，研究喷雾架距尘源距离、巷道风速和喷嘴供水压力3个因素作用下喷雾降尘后煤尘特征粒径D₉₀的变化规律，并对25组试验结果进行相关性分析。通过均方差决策法，确定了各影响因素在喷雾降尘后煤尘D₉₀中所占的权重值。在此基础上，结合各影响因素的权重，构建了基于加权的喷雾降尘后煤尘D₉₀多元非线性回归预测模型，并将其与多元线性回归模型的预测结果进行了对比分析。研究结果表明：喷雾降尘后煤尘D₉₀随喷雾架距尘源距离的增加而降低，随风速的增加先增大后减小，随供水压力的增加而增加；全尘、呼尘降尘效率和D₉₀存在较强的正相关性，喷雾降尘效果越好，喷雾降尘后煤尘D₉₀越大；基于加权的喷雾降尘后煤尘D₉₀预测模型准确性更高，误差较小，可准确表征喷雾降尘后煤尘D₉₀与喷雾架距尘源距离、巷道风速和喷嘴供水压力3个影响因素间的定量关系。

In order to investigate the main factors affecting the effect of spray dust reduction on the particle size of coal dust after spray dust reduction, a quantitative mathematical model was obtained to characterize the quantitative relationship between the influencing factors and the particle size parameters of coal dust after spray dust reduction. Based on the comprehensive experimental platform for spray dust removal, orthogonal experiments and regression analysis methods were applied to study the change rule of coal dust characteristic particle size D₉₀ after spray dust reduction under the effect of three factors, namely, spray frame distance from dust source, tunnel wind speed and nozzle water supply pressure, and correlation analysis was carried out on 25 groups of experimental results. The weight value of each influencing factor in the coal dust D₉₀ after spray dust reduction was determined by the mean square variance decision making method. On this basis, combined with the weights of each influencing factor, a weighted-based multivariate nonlinear regression prediction model of coal dust D₉₀ after spraying dust reduction was constructed, and its prediction results were compared and analyzed with those of the multivariate linear regression model. The results show that: the coal dust D₉₀ after spray dust reduction decreases with the increase of the distance from the dust source to the spray frame, increases and then decreases with the increase of wind speed, and increases with the increase of water supply pressure, and there is a strong positive correlation between full dust, exhaled dust reduction efficiency and D₉₀, the better the spray dust reduction effect, the larger the coal dust D₉₀ after spray dust reduction; the weighting-based prediction model of coal dust D₉₀ after dust spraying has higher accuracy and smaller error, and can accurately characterize the quantitative relationship between coal dust D₉₀ after dust spraying and three influencing factors, namely, the distance of the spray frame from the dust source, the wind speed of the roadway, and the water supply pressure of the nozzle.