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TDLAS分析仪谱图微缓形变的复原算法

Transfer and Restoration Algorithm for Slow and Subtle Spectra Deformation of TDLAS Gas Analyser

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摘要

为了减小谱图的微缓形变对TDLAS气体分析仪精度的影响,提出一种传递复原方案.该方案通过比对校验气体的出厂校准谱图和现场测量谱图,得到其形变系数;由于校验气体与过程气体间拥有相同的形变机制,根据形变的传递性可将过程气体的实时谱图也复原到校准状态,从而维持分析仪的保真度.解决了动态过程气体谱图形变的复原问题,不需调节光学和电子系统硬件参数,通过信号滤波、特征提取、形变系数计算,使用拉格朗日插值公式或Sinc函数插值法复原.在仿真实验中,传递复原的谱图与校准谱图的相似度达到99.999%.实验采集不同程度形变的CO2气体谱图,采用拉格朗日插值复原算法的复原谱图与校准谱图的相似度达到99.9%.

Abstract

In order to reduce the impact of the chronic spectral deformation on TDLAS gas analyzer accuracy, a transfer and restoration method was proposed. By comparing the real time spectra with the calibration spectra for validation gas, the deformation coefficient is obtained. The process gas spectra share the same deformation mechanism with the validation gas. So the process spectra can be restored to the calibration state due to deformation transitivity. Consequently analyzer maintains the original fidelity. It solves the tough issue of spectra restoration for dynamic process gas. It requires no adjustment of hardware parameters of optical or electronics system. The spectra are restored through signal filtering, feature extraction and deformation coefficients calculation. In the simulation, the similarity measure maintained 99.999% between calibration spectra and restorated real time spectra. For the experimentally acquired CO2 gas spectra with different levels of deformation, the similarity measure maintained 99.9% between target spectra and real time spectra with Lagrangian interpolation restoration.

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中图分类号:O433.4

DOI:10.3788/gzxb20174608.0812001

基金项目:国家自然科学基金委国际(地区)合作与交流项目(No. 61105005)、华东师范大学精密光谱科学与技术国家重点实验室开放课题项目(No. F1505037A)、中国石油大学(华东)自主创新项目(Nos. 27R1505012A,27R1505024A)和中国石油大学(华东)研究生创新工程项目(No.YCXJ2016076)资助

收稿日期:2016-11-07

修改稿日期:2017-02-28

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季文海:中国石油大学(华东) 信息与控制工程学院,山东 青岛 266580华东师范大学 精密光谱科学与技术国家重点实验室,上海 200062
杨雅涵:中国石油大学(华东) 信息与控制工程学院,山东 青岛 266580
任鹏:中国石油大学(华东) 信息与控制工程学院,山东 青岛 266580
李国林:中国石油大学(华东) 信息与控制工程学院,山东 青岛 266580

联系人作者:季文海(jiwenhai@upc.edu.cn)

备注:季文海(1975-),男,副教授,博士,主要研究方向为激光近红外光谱技术的痕量气体检测.

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引用该论文

JI Wen-hai,YANG Ya-han,REN Peng,LI Guo-lin. Transfer and Restoration Algorithm for Slow and Subtle Spectra Deformation of TDLAS Gas Analyser[J]. ACTA PHOTONICA SINICA, 2017, 46(8): 0812001

季文海,杨雅涵,任鹏,李国林. TDLAS分析仪谱图微缓形变的复原算法[J]. 光子学报, 2017, 46(8): 0812001

被引情况

【1】季文海,宋 迪,吕晓翠,李国林. 通过标气校验和支持向量机提高光谱保真度的应用. 光学 精密工程, 2019, 27(10): 2144-2153

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