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煤尘的润湿性是影响煤矿湿式除尘的关键因素,受到多种物理化学因素的影响,且各影响因素间存在多重共线性。鉴于多元逐步回归在克服多变量多重共线性的优良有效性,利用SPSS软件,采用多元逐步回归的方法研究了煤尘的工业分析、元素分析、表面含氧官能团含量等因素对煤尘润湿性的影响。研究结果表明,影响煤尘润湿性的主要因素是煤尘表面的酚羟基含量和煤尘中固定碳含量,最优回归方程为θ=35.042-10.780[酚羟基]+0.859Wad(FC),最优回归方程的复相关系数为0.943,拟合优度较高,回归效果较好。
The wettability of coal dust is the key factor that affects the wet dust removal in coal mines. It is affected by many kinds of physicochemical factors, and there are multiple collinearities among the influencing factors. In view of the multivariate stepwise regression to overcome the multivariate multicollinearity of the excellent and effective, the use of SPSS software, the use of multiple stepwise regression method to study the industrial analysis of coal dust, elemental analysis, the oxygen content of functional groups and other factors on the coal dust wettability Impact. The results show that the main factors affecting the wettability of coal dust are phenolic hydroxyl content on coal dust and fixed carbon content in coal dust. The optimal regression equation is θ = 35.042-10.780 [phenolic hydroxyl] + 0.859Wad (FC) The regression equation of the best correlation coefficient of 0.943, goodness of fit higher, the regression effect is better.