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西林瓶内氧气含量在线检测的基线快速校正方法

Fast Baseline Correction Method for Online Detection of Oxygen Content in Vials

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摘要

构建了一个开放单光路短光程激光检测平台,提出了一种基于线型的Levenberg-Marquardt(L-M)算法,以洛伦兹线型和高斯线型的二阶导数作为L-M算法的拟合函数,对氧气体积分数为0%~21%的样本进行校正。结果表明:在基于洛伦兹线型的L-M算法校正中,氧气含量-二次谐波峰值的拟合系数最高,为0.9995;以洛伦兹线型为优化依据,对含氧气体积分数为1%的样品进行了多次测量,校正处理前后预测的氧气体积分数最大偏差分别为0.38%和0.22%,预测的均方根误差分别为0.25%和0.16%。

Abstract

A laser detection platform with an open single path and short optical distance is constructed, and a Levenberg-Marquardt (L-M) algorithm based on linetype is proposed. The method uses second order derivative of Gaussian linetype and Lorenz linetype as the fitting function of L-M algorithm. The samples with oxygen volume fraction of 0%-21% are corrected. The results show that the correlation coefficients of oxygen content and peak is the highest in L-M algorithm correction based on Lorentz linetype (0.9995). The sample with oxygen volume fraction of 1% is measured several times on the basis of Lorentz linetype. Compared with the measured results before and after the correction, the predicted maximum deviations of oxygen volume fraction are 0.38% and 0.22%, respectively, and the root mean square errors of prediction are 0.25% and 0.16%, respectively.

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中图分类号:O433

DOI:10.3788/cjl201946.0211001

所属栏目:光谱学

基金项目:国家自然科学基金(61773403,61873282)、湖南省教育厅科学研究项目(17A109)、湖南省技术创新引导计划(2018ZK4053)

收稿日期:2018-09-05

修改稿日期:2018-10-11

网络出版日期:2018-10-24

作者单位    点击查看

朱高峰:湖南人文科技学院信息学院, 湖南 娄底 417000
朱红求:中南大学信息科学与工程学院, 湖南 长沙 410083
钱灏:中南大学信息科学与工程学院, 湖南 长沙 410083
朱剑平:楚天科技股份有限公司研发中心, 湖南 长沙 410600

联系人作者:朱高峰(hnrkzgf@163.com)

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引用该论文

Zhu Gaofeng,Zhu Hongqiu,Qian Hao,Zhu Jianping. Fast Baseline Correction Method for Online Detection of Oxygen Content in Vials[J]. Chinese Journal of Lasers, 2019, 46(2): 0211001

朱高峰,朱红求,钱灏,朱剑平. 西林瓶内氧气含量在线检测的基线快速校正方法[J]. 中国激光, 2019, 46(2): 0211001

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