使用在线过程质谱仪对反应气体或废气进行定量分析

IF 1 4区工程技术 Q4 INSTRUMENTS & INSTRUMENTATION

Metrology and Measurement Systems Pub Date : 2023-08-28 DOI:10.24425/mms.2023.144874

Fu-Qiang Wei, Zejian Huang, X. Dai, Xiang Fang, Shang-Zhong Jin

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引用次数: 0

摘要

工业生产中反应气体或废气的在线定量分析对提高生产能力和工艺具有重要意义。利用定量数学模型和机器学习的线性回归算法，开发了一种在线定量分析反应气体或废气的新方法。在准确估计反应气体或废气中的组分气体及其含量后，构建比率矩阵以分离相关重叠峰。用非线性过程质谱仪对比率和校准标准气体进行检测、过滤、归一化和线性回归，以校正治疗基质，并保持相对灵敏度。可以建立一个定量的数学模型，以实时绘制反应气体或排气中各成分的含量。在对代表年的废气进行在线定量后，该方法的最大定量误差和相对标准偏差在0.3%和1%之间。

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Quantitative analysis of reaction gases or exhaust using an online process mass spectrometer

Online quantitative analysis of reaction gases or exhaust in industrial production is of great signiﬁcance to improve the production capacity and process. A novel method is developed for the online quantitative analysis of reaction gases or exhaust using quantitative mathematical models combined with the linear regression algorithm of machine learning. After accurately estimating the component gases and their contents in the reaction gases or exhaust, a ratio matrix is constructed to separate the relevant overlapping peaks. The ratio andcalibrationstandardgasesaredetected,ﬁltered,normalized,andlinearlyregressedwithanonlineprocess massspectrometertocorrecttheratiomatricesandobtaintherelativesensitivitymatrices.Aquantitative mathematicalmodelcanbeestablishedtoobtainthecontentofeachcomponentofthereactiongasesor exhaustinrealtime.Themaximumquantiﬁcationerrorandrelativestandarddeviationofthemethodare within0.3%and1%,afteronlinequantiﬁcationoftherepresentativeyeastfermentertailgas.

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来源期刊

Metrology and Measurement Systems INSTRUMENTS & INSTRUMENTATION-

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

6 months

期刊介绍： Contributions are invited on all aspects of the research, development and applications of the measurement science and technology. The list of topics covered includes: theory and general principles of measurement; measurement of physical, chemical and biological quantities; medical measurements; sensors and transducers; measurement data acquisition; measurement signal transmission; processing and data analysis; measurement systems and embedded systems; design, manufacture and evaluation of instruments. The average publication cycle is 6 months.