可调谐半导体激光吸收光谱（TDLAS）技术利用了半导体激光器可调谐和窄线宽的特性，具有高选择性和高灵敏度，可以在气体成分复杂、高温等恶劣环境下准确测量CO2。基于TDLAS的扫描波长直接吸收（SDAS）技术是常用的气体浓度反演方法，针对该方法反演气体浓度时采用的吸光度积分法需要准确获得频域信息，从而导致系统结构复杂的问题，本文提出了基于直接吸收峰峰值标定的气体浓度反演方法。首先利用HITRAN2016光谱数据库建立CO2数值仿真模型，并参考电厂尾部烟道内高温和高浓度的CO2环境，分析了吸收峰峰值随浓度（10%~20%）和温度（298~338 K）的理论变化规律，然后将理论规律作为建立实际吸收峰峰值浓度标定模型和温度修正曲线的参考依据。通过搭建基于TDLAS的CO2检测实验系统，验证了所提方法应用于浓度测量的可行性。研究结果显示，采用峰值标定法反演得到的CO2浓度的相对误差均方值为1.08%，验证了利用吸收峰峰值标定的气体浓度反演方法在高浓度CO2准确测量方面的可行性。

Tunable diode laser absorption spectroscopy （TDLAS） exploits the tunable and narrow linewidth characteristics of a diode laser to improve the selectivity and sensitivity of CO2 measurements in harsh environments， such as those with complex gas components and high temperature. The scanned-wavelength direct absorption spectroscopy technique based on TDLAS is commonly used for gas concentration inversion. However， the absorbance integral method in gas concentration inversion is applied in the frequency domain， which requires a complex system to retrieve accurate frequency-domain information. To avoid this problem， the present paper proposed a new gas-concentration inversion method based on calibration of the direct absorption peak value. First， the theoretical changes of absorption peak value with concentration（10%-20%） and temperature（298-338 K） were analyzed in a numerical model of the target gas （carbon dioxide， CO2）， which was established using the HITRAN2016 spectrum database and referring to high temperature and high concentration CO2 environment in tail flue of the power plant. The theoretical change was used as reference basis for establishing the actual absorption peak value concentration calibration model and temperature correction curve. To verify the feasibility of the method， a custom-built CO2 detection system based on TDLAS was built. The mean squared relative error of the inversed CO2 concentration by peak value calibration method was 1.08%， confirming that the gas-concentration inversion method based on direct absorption peak value calibration can accurately measure high concentrations of CO2.