不同煤粒度的煤质近红外光谱预处理方法研究  

Pretreatment Method of Near-Infrared Spectroscopy Used for Different Coal Particle Size

作　　者：上官海兵 

机构地区：[1]山西焦煤西山煤电集团有限公司屯兰矿选煤厂,山西古交030206

出　　处：《煤炭技术》2016年第1期308-309,共2页Coal Technology

摘　　要：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 different coal particle size of coal, puts forward of a kind of quantitative analysis method of coal quality based on near infrared diffuse reflectance spectroscopy in view of the problem of slow speed, low efficiency of traditional methods. Different preprocessing methods with different particles size, 1, 3 and 5 ram, which established partial least- squares regression （PLSR） model of moisture by near infrared spectroscopy. The results indicated that this detection research is reasonable, feasible and having good application value.

关 键 词：煤粒度 全水分 近红外光谱 光谱预处理 偏最小二乘回归 

分 类 号：TQ53[化学工程—煤化学工程] O657.33[理学—分析化学]