基于傅里叶变换红外光谱技术对高温窑炉内气体红外辐射信号进行了遥测研究。根据工业现场条件,利用大气辐射原理建立被动辐射模型,计算了炉膛内高温气体透射率。针对湍流噪声对信噪比的影响,研究了红外干涉信号光谱转换的数据处理方法,以零光程差为基准对齐干涉信号,以实现多次扫描干涉信号的平均,减小了噪声和计算量,并提高了光谱数据率。利用HITRAN数据库和高温参考谱模型法,对谱线线强、线宽修正合成的校准光谱与透射谱进行非线性最小二乘拟合,反演了炉膛内不同吸收波段的高温气体浓度。结果表明该技术在窑炉内及其他工业燃烧过程中对高温气体的在线检测是可行、可靠的。

The remote detection of gas infrared radiation signal in high temperature kiln is carried out based on Fourier transform infrared spectrometry technique. According to industrial site conditions, a passive radiation model is built based on the principle of atmospheric radiation, and the high temperature gas transmittance in the cement-kiln is calculated. Aiming at the influence of turbulence noise on the signal to noise ratio, a data processing method for spectrum inversion of infrared interference signal is studied, and the average signal of multiple scanning interference signal is obtained when we align the interference signal on the basis of zero optical path difference. The noise and the amount of computation are reduced, and the spectral data rate is improved. Based on the HITRAN database and the high temperature reference spectrum model, the nonlinear least square fitting method is used for the spectrum line strength and corrected and transmission spectra obtained by line width correction, and the concentration of high temperature gas in cement-kiln in different absorption bands is inverted. The results show that the proposed method for on-line monitoring of high temperature gas in the cement-kiln and other industrial combustion processes is feasible and reliable.