Institutional Repository of Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
Research on online correction algorithm with neural network multi-environment factors for CO detection of motor vehicle exhaust | |
Liu Guo-Hua1,2; Zhang Yu-Jun1; Zhang Kai1,2; Tang Qi-Xing1,2; Fan Bo-Qiang1,2; Lu Yi-Bing1,2; You Kun1; He Ying1; Yu Dong-Qi1,2 | |
2018-12-01 | |
发表期刊 | JOURNAL OF INFRARED AND MILLIMETER WAVES |
ISSN | 1001-9014 |
摘要 | The influence of temperature, humidity and pressure on the measurement of exhaust gas CO concentration after pretreatment is analyzed. An on-line correction algorithm with multi-environment factors of neural network for the vehicle exhaust CO detection has been proposed. First, the exhaust gas sample data has been trained offline to build the BP neural network model, and then the real-time measured temperature, humidity, pressure and decimal absorption value of the samples have been put into the model for its online correction. Then the corrected CO concentration has been achieved, so the measurement error of the NDIR sensor caused by environmental changes has been solved. Through the prototype experiment, the simulation experiment and the comparison with SEMTECH-EcoStar, the maximum relative deviation of the CO with the concentration from 0 to 0.2% is 4.8% when the temperature range is from 30 to 50 degrees C, relative humidity is from 25 to 40%, the pressure is from 95 to 115 kPa. The experiments have been carried out in the vehicle field to get the correction factor between 0.8 and 1, which verifies the necessity and reliability of the method and provided effective technical support for the detection of the CO concentration of the high-temperature exhaust gas from motor vehicles. |
关键词 | CO exhaust detection infrared absorption multiple environmental factors online correction BP neural network |
DOI | 10.11972/j.issn.1001-9014.2018.06.012 |
关键词[WOS] | TEMPERATURE |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2016YFC0201000] ; Anhui Science and Technology Major Project[15czz04124] |
项目资助者 | National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project ; Anhui Science and Technology Major Project |
WOS研究方向 | Optics |
WOS类目 | Optics |
WOS记录号 | WOS:000455098300012 |
出版者 | SCIENCE PRESS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/41442 |
专题 | 中科院安徽光学精密机械研究所 |
通讯作者 | Zhang Yu-Jun |
作者单位 | 1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Anhui, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China |
第一作者单位 | 中科院安徽光学精密机械研究所 |
通讯作者单位 | 中科院安徽光学精密机械研究所 |
推荐引用方式 GB/T 7714 | Liu Guo-Hua,Zhang Yu-Jun,Zhang Kai,et al. Research on online correction algorithm with neural network multi-environment factors for CO detection of motor vehicle exhaust[J]. JOURNAL OF INFRARED AND MILLIMETER WAVES,2018,37(6):704-710. |
APA | Liu Guo-Hua.,Zhang Yu-Jun.,Zhang Kai.,Tang Qi-Xing.,Fan Bo-Qiang.,...&Yu Dong-Qi.(2018).Research on online correction algorithm with neural network multi-environment factors for CO detection of motor vehicle exhaust.JOURNAL OF INFRARED AND MILLIMETER WAVES,37(6),704-710. |
MLA | Liu Guo-Hua,et al."Research on online correction algorithm with neural network multi-environment factors for CO detection of motor vehicle exhaust".JOURNAL OF INFRARED AND MILLIMETER WAVES 37.6(2018):704-710. |
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