摘要:
采用傅立叶变换中红外漫反射光谱法同时对褐煤中的内水分、挥发分、含硫量、高位发热量、低位发热量和折合率6个指标进行了基于最小二乘法(PLS)的定量分析.结果显示,内水分、挥发分、含硫量、高位发热量、低位发热量和折合率的相对误差分别为3.4%、2.0%、4.0%、1.4%、2.5%和2.2%,得到了满意的预测结果.采用中红外光谱分析的方式实现了一种快速分析煤炭品质的新方法,为工业在线分析煤炭品质论证了可行性.
Abstract:
Diffuse reflection infrared Fourier transform spectrometry (DRIFTS) with middleinfrared range (MIR) has been used for determination of six key properties of brown coal samples including internal moisture, volatile matter, sulfur content, high calorific power, net calorific power and reduction coefficient, with satisfactory results. The relative errors for these six key properties are 3.4%, 2.0%, 4.0%, 1.4%, 2.5% and 2.2%, respectively. It provides a new method for rapid analysis and evaluation of coal quality.