光谱学与光谱分析 |
|
|
|
|
|
A Research of Stability Method for Non-Dispersive Infrared Gas Analysis Based on Multi-Parameter Model |
LI Cui-ping1,2, HAN Jiu-qiang1*, DONG Xiao-qiang2, DING Ya-ming3, ZHANG Dian-guo3, MU Ning2 |
1. Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an 710049, China 2. Institute of Chemical Defense, Beijing 102205, China 3. Beijing Kang Er Xing Technology Development Co., Ltd., Beijing 100088, China |
|
|
Abstract To non-dispersive infrared gas analysis, it was the most difficult challenge to maintain very low zero and temperature drift over long periods. Electronic and detector response drifts irremediably required some form of manual zeroing procedure. To solve zero and temperature drift, a multi-parameters model was developed, by which zero and temperature drifts were automatically corrected. These parameters include zero gas intensity, reference channels intensity, standard temperature, environment temperature, temperature drift coefficients etc. Trial results and in-situ applications showed that the monitoring precisions of the instrument were lesser than 5%F.S in different temperatures and for a long time. The average precision of monitoring carbon monoxide concentration increased respectively from 9.26% to 1.23%, and monitoring hydrocarbon concentration from 10.61% to 0.70% before and after compensated. The instrument required essentially no periodic calibration and have very low maintenance cost.
|
Received: 2012-04-05
Accepted: 2012-07-05
|
|
Corresponding Authors:
HAN Jiu-qiang
E-mail: jqhan@mail.xjtu.edu.cn
|
|
[1] WANG Wen-cui,LUAN Mei-sheng,YU Tong-yan(王文萃,栾美生,于彤彦). Infrared Technology(红外技术), 2009, 31(8): 458. [2] Sotnikova G Y, Aleksandrov S E, Gavrilov G A. Proc. of SPIE, 2009, 7356: 73561T. [3] Yasuda T, Yonemura S, Tani A. Sensors, 2012, 12: 3641. [4] Bernard P, Labranche B. Proc. of SPIE, 1998, 3414: 210. [5] TAN Jian-jun(谭建军). Ideo Engineering(电视技术), 2004, 6: 180. [6] HUANG Shu-hua, SUN You-wen, LIU Wen-qing, et al(黄书华,孙有文,刘文清,等). Infrared(红外),2011, 32(12): 10. |
[1] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[2] |
WANG Yao1,2, WANG Shi-xin1,2*, ZHOU Yi1,2, WANG Fu-tao1,2*, WANG Zhen-qing1,2. Research on Fire Point Monitoring Based on GaoFen-4 Satellite Data With Bright Temperature Difference Correction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3595-3601. |
[3] |
MA Li1, 2, FAN Xin-li1, 2, ZHANG Shuo1, 2, WANG Wei-feng1, 2, WEI Gao-ming1, 2. Research on CH4 Gas Detection and Temperature Correction Based on TDLAS Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3632-3638. |
[4] |
SHI Ting, LUAN Xiao-li*, LIU Fei. Theoretical Analysis and Verification of Prediction Variances and Confidence Limits for Global Temperature Compensation Modeling Approaches[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1058-1063. |
[5] |
BAO Jian-guang, LIU Zheng-kun*, CHEN Huo-yao, LIN Ji-ping, FU Shao-jun . Development of Micro-Spectrometer with a Function of Timely Temperature Compensation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(05): 1409-1413. |
[6] |
WANG Yan-chao1, WANG Zhi-bin1, 2, ZHANG Ji-long1, 2, CHEN You-hua1 . Temperature Compensation Strategy and Implementation for Photoelectric Modulation Interferometer with Large Optical Path Difference [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(05): 1429-1432. |
[7] |
WANG Jia-hua, PAN Lu, LI Peng-fei, HAN Dong-hai* . Temperature Compensation for Calibration Model of Apple Fruit Soluble Solids Contents by Near Infrared Reflectance [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(06): 1517-1520. |
|
|
|
|