煤矿灾害气体的傅里叶变换红外光谱定量方法

发布时间：2018-06-24 01:21

本文选题：傅里叶变换红外光谱 + 支持向量机　；参考：《煤矿安全》2017年03期

【摘要】：为提高煤矿灾害气体红外光谱定量分析的准确性,利用傅里叶变换红外光谱分析仪,对煤矿灾害气体的傅里叶变换红外光谱定量分析方法进行了研究,建立了针对煤矿灾害气体的傅里叶变化红外光谱定量计算模型与定量校正模型,利用支持向量机理论对煤矿灾害气体中烷烃类气体的图谱交叠问题进行了改进,在一定程度上初步满足了煤矿灾害气体定量检测的需求。结果表明:CH_4、i-C_4H_(10)、C_2H_4、C_3H_6、C_2H_2与CO定量分析结果的准确性相对较高,绝对偏差也较小;C_2H_6、C_3H_8、n-C_4H_(10)与CO_2定量分析结果的准确性相对较低,但其绝对偏差较小,因此以上10种煤矿灾害气体均可利用傅里叶变换红外光谱定量方法进行定量分析。
[Abstract]:In order to improve the accuracy of infrared spectrum quantitative analysis of coal mine disaster gas, the method of Fourier transform infrared spectrum quantitative analysis of coal mine disaster gas was studied by using Fourier transform infrared spectrum analyzer. The Fourier transform infrared spectrum quantitative calculation model and quantitative correction model for coal mine disaster gas are established. The problem of overlapping of alkane gases in coal mine disaster gas is improved by using support vector machine theory. To some extent, it meets the need of gas quantitative detection of coal mine disaster. The results showed that the accuracy of the results of the quantitative analysis of C2H6 and C2H2 and the results of the quantitative analysis of CO were relatively higher, and the absolute deviation was also smaller than that of the results of the quantitative analysis of C2H3H8 / C _ (10) / C _ 2H _ (10) / C _ 2H _ (10) and COSID _ 2, but the absolute deviation was relatively low, but the absolute deviation was lower than that of C _ 2H _ (10) / C _ 2H _ (10) / C _ 2H _ (10) / C _ 2H _ (10) / C _ 2S _ 2. Therefore, the above 10 kinds of coal mine disaster gases can be quantitatively analyzed by Fourier transform infrared spectroscopy.
【作者单位】：煤科集团沈阳研究院有限公司;煤矿安全技术国家重点实验室;
【基金】：国家自然科学基金-青年科学基金资助项目(51404138) 国家重大科学仪器设备开发专项资助项目(2012YQ240127) 国家科技重大专项任务资助项目(2016ZX05045006004)
【分类号】：TD711;O657.33

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