人工图像分析法是目前分析低阶煤显微组分的主要方法,这种方法耗时耗力精度低。利用拉曼光谱快速准确判断物质组成的特点,对内蒙古补连塔低阶煤显微组分采用拉曼光谱研究,发现D1和G峰值位置、半峰宽和峰高存在差异,并结合成分分子结构差异讨论峰值差异原因,以期实现快速准确确定低阶煤煤岩显微组分。 Artificial image analysis method is the main method of analyzing low-rank coal microscopic components, this method is time-consuming and labor-intensive low accuracy. Using Raman spectroscopy to determine the composition of the material quickly and accurately, Raman spectroscopy was used to study the microstructure of low-rank coal in BuLint tower in Inner Mongolia. It was found that there were differences in peak position, half-width and peak height of D1 and G, Structure differences discuss the reasons for the differences in peak, in order to achieve rapid and accurate determination of low-rank coal rock micro-components.