基于傅里叶变换红外光谱技术,选取低浓度的CO、CO_2、NO、NO_2、SO_2、HCl、HBr、HCN 8种典型有毒有害气体进行定量分析。经过合理选择光谱区间、数据预处理、样本筛选以及确定模型参数后,建立PLS回归模型,并对模型回归曲线进行多项式修正。模型中各组分实际浓度与预测浓度的拟合回归系数达到0.99,校正集误差均方根S~(RMSEC)低于15×10~(-6)。利用验证集对模型的预测性能进行检验,样本各组分的预测浓度误差小于满量程的±2%,各组分的预测误差均方根S~(RMSEP)不超过20×10~(-6)。 Based on Fourier transform infrared (FTIR) spectroscopy, eight typical toxic and harmful gases, CO, CO_2, NO, NO_2, SO_2, HCl, HBr and HCN, were selected for quantitative analysis. After reasonable selection of spectral interval, data preprocessing, sample screening and determination of model parameters, a PLS regression model was established, and the polynomial correction of regression curve was carried out. The fitting regression coefficient between the actual concentration and the predicted concentration of each component in the model reached 0.99, and the RMSEC of the calibration set error was less than 15 × 10 -6. The predictive performance of the model was tested by using the verification set. The predicted concentration error of each component was less than ± 2% of full scale, and the RMSEP of each component was no more than 20 × 10 -6 ).