为了检测不同煤粒度的煤质内部成分,针对传统方法检测速度慢、效率低等问题,提出一种基于近红外漫反射光谱的煤质定量分析方法。结合不同光谱预处理方法建立1、3和5 mm粒度等级下的煤质全水分近红外偏最小二乘回归(PLSR)模型。研究结果表明该检测方法合理可行,具有很好的应用价值。 In order to detect the internal components of coal with different coal particle sizes, aiming at the problems of slow detection and low efficiency of traditional methods, a quantitative analysis method based on near-infrared diffuse reflectance spectroscopy was proposed. Based on the different spectral pretreatment methods, the partial near-infrared partial least squares regression (PLSR) model for coal quality under the granularity of 1, 3 and 5 mm was established. The results show that the detection method is reasonable and feasible, and has good application value.