Quantitative analysis of the properties of different sizes of coal at Tunlan Coal Preparation Plant

For rapid determination of coal internal ash and sulfur contents,test is made with coal samples of 3 sizes（0.42 mm,0.177 mm and 0.125 mm）.On the basis of the near-infrared spectrums of 300 collected coal samples,a student’s residual-based quantitative regression model is established after abnormal samples have been rejected,using the principle component regression algorithm（PCR）.A comparison with the standard values indicates that a satisfactory modeling result can be expected for the determination of the ash of the 0.42 mm size coal and the sulfur of the 0.177 mm coal.In the former case,the calibrated correlation coefficient and root mean square are respectively 0.927 0 and 0.039 9 as against the predicted figures of 0.911 1 and 0.043 9 while in the latter case,the calibrated correlation coefficient reaches over 0.96 with a root mean square error of 0.019 5 as against the predicted figure of 0.016 7.The model was a high stability and predicative ability.It provides an effective means for analysis and rapid determination of coal internal properties.