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作 者:张悦[1] 李勇[1] 李泽兵 邬金妮 赵刚[1] 马维光[1] ZHANG Yue;LI Yong;LI Ze-bing;WU Jin-ni;ZHAO Gang;MAWei-guang(State Key Laboratory of Quantum Optics and Quantum Optics Devices,Institute of Laser Spectroscopy,Shanxi University,Taiyuan 030006,China)
机构地区:[1]山西大学激光光谱研究所量子光学与光量子器件国家重点实验室,山西百太原030006
出 处:《量子光学学报》2024年第2期82-91,共10页Journal of Quantum Optics
基 金:国家重点研发计划资助项目(2022YFC3703900);国家自然科学基金(61875107,62175139);山西省留学人员科技活动择优资助项目(20220001)。
摘 要:在基于激光吸收光谱技术的痕量气体检测过程中,不同气体光谱重叠现象会对提取吸收光谱真实特征造成影响,引入反演浓度的误差。设计了结合多通道池和直接吸收光谱技术的痕量气体检测装置,分别应用BP神经网络和偏最小二乘法(PLS)消除干扰,使用模拟光谱对BP神经网络模型和PLS模型进行训练,从而大大简化了训练过程。为了保证模拟光谱的准确性,利用F-P腔的透射峰进行定标,获取了准确的激光波长变化,继而带入模拟过程。使用实测的光谱数据作为测试集,得到系统对浓度响应的线性拟合度大于0.99,误差小于0.21%。最后,分析了etalon噪声对两种算法的影响,结果表明,PLS模型的浓度误差小于4.4×10^(-7),比基于BP神经网络模型的结果优5倍以上。In trace gas detection based on laser absorption spectroscopy,the overlap of different gas absorption spectra affects the extraction of the characteristics of the absorption spectrum,which consequently introduce the error of the deduced concentration.In this paper,a trace gas detector by the combination of a multipass cell and direct absorption spectroscopy is present.BP neural network model and PLS model are utilized,respectively,to restrict the spectral overlap.In order to simplify the training progress,simulated spectral models have been used as training set.The laser frequency are calibrated with the help of the transmission peaks of an F-P cavity and then introduced into the simulation model.As a result,the accuracy of the simulation has been improved.Then,the measured data is acted as test set.The linearity of the system's response to the concentration is greater than 0.99,and the relative error is less than 0.21%.Finally,the influence of etalon noise to the two algorithm has been analyzed and the result shows the concentration error with PLS model is less than 4.4×10^(-7),which is more than five times that by BP neural network.
关 键 词:可调谐二极管激光吸收光谱 BP神经网络 偏最小二乘法
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