CAJ | 학술논문

煤炭的发热量是评价煤炭品质的重要指标。首先对比分析了平滑处理、微分处理、多元散射校正（MSC）以及标准归一化（SNV）等光谱与处理方法在改善煤粉近红外漫反射光谱信噪比的效果，然后利用偏最小二乘法（PLS）和主成分分析方法（PCR）分别对采用每种预处理方法处理后的光谱建立煤粉发热量模型，发现采用5点平滑处理、多元散射校正和标准归一化处理可使模型的性能有较明显的改观，5点平滑效果最好，相关系数、校正标准差和预测标准差分别为：0.9899，0.00049和0.00052，采用25点平滑处理产生了过平滑现象，导致模型的性能变坏，采用微分预处理后的光谱建立的模型没有明显变化，对模型的性能影响不大。
매탄적발열량시평개매탄품질적중요지표。수선대비분석료평활처리、미분처리、다원산사교정（MSC）이급표준귀일화（SNV）등광보여처리방법재개선매분근홍외만반사광보신조비적효과，연후이용편최소이승법（PLS）화주성분분석방법（PCR）분별대채용매충예처리방법처리후적광보건립매분발열량모형，발현채용5점평활처리、다원산사교정화표준귀일화처리가사모형적성능유교명현적개관，5점평활효과최호，상관계수、교정표준차화예측표준차분별위：0.9899，0.00049화0.00052，채용25점평활처리산생료과평활현상，도치모형적성능변배，채용미분예처리후적광보건립적모형몰유명현변화，대모형적성능영향불대。
The calorific value of coal ash is an important indicator to evaluate the coal quality .In the experiment ,the effect of spectrum and processing methods such as smoothing ,differential processing ,multiplicative scatter correction (MSC) and stand-ard normal variate (SNV) in improving the near-infrared diffuse reflection spectrum signal-noise ratio was analyzed first ,then partial least squares (PLS) and principal component analysis (PCR) were used to establish the calorific value model of coal ash for the spectrums processed with each preprocessing method respectively .It was found that the model performance can be obvi-ously improved with 5-point smoothing processing ,MSC and SNV ,in which 5-point smoothing processing has the best effect , the coefficient of association ,correction standard deviation and forecast standard deviation are respectively 0.989 9 ,0.000 49 and 0.000 52 ,and when 25-point smoothing processing is adopted ,over-smoothing occurs ,which worsens the model perform-ance ,while the model established with the spectrum after differential preprocessing has no obvious change and the influence on the model is not large .