| 乙醇浓度预测的多元线性回归模型建立及验证 |
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| 引用本文： | 肖雄亮,陈长明.乙醇浓度预测的多元线性回归模型建立及验证[J].红外技术,2021,43(12):1228-1233. |
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| 作者姓名： | 肖雄亮 陈长明 |
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| 作者单位： | 湖南信息学院 电子科学与工程学院，湖南 长沙 410151 |
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| 基金项目： | 湖南省教育厅科学研究重点项目20A347 |
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| 摘 要： | 设计了由光源、气室、探测器和控制器等组成的非分散红外吸收系统，往气室内通入不同浓度的多组分气体（含有乙醇、二氧化碳和水蒸气），采用红外光谱仪进行光谱数据采集，得到多组分气体混合光谱图。根据数据集样本求解回归系数，建立了多元线性回归模型，并进行干扰修正以降低二氧化碳和水蒸气对乙醇浓度预测的影响。对建立的多元线性回归模型进行评价，结果表明:模型真实有效且具有良好的线性回归效果，可以用于预测气体浓度，乙醇、二氧化碳和水蒸气浓度预测误差均在可接受的范围之内，其中乙醇浓度预测误差最小，不超过2.0×10-4。通过干扰修正尽可能排除二氧化碳和水蒸气的干扰，能够较准确地预测乙醇浓度。
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| 关 键 词： | 多元线性回归模型 乙醇浓度预测 非分散红外技术 干扰修正 |
| 收稿时间： | 2021-02-07 |
Establishment and Verification of Multivariate Linear Regression Model for Prediction of Ethanol Concentration |
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| Affiliation: | School of Electronic Science and Engineering, Hunan Institute of Information Technology, Changsha 410151, China |
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| Abstract: | A non-dispersive infrared absorption system comprising a light source, gas chamber, detector, and controller is designed, and multi-component gases of different concentrations (including ethanol, carbon dioxide, and water vapor) are injected into the chamber. An infrared spectrometer is used to collect the spectral data, and amulti-component gas mixture spectrum isobtained. A multiple linear regression model is established based on the regression coefficients of the dataset samples, and interference correction is performed to reduce the effect of carbon dioxide and water vapor on the concentration of ethanol. The established multiple linear regression model is evaluated, and the results indicate that the model is reliable and effective with a good linear regression effect. The model can be used to predict the gas concentration, and the prediction errors of ethanol, carbon dioxide, and water vapor concentration are within an acceptable range. The prediction error of ethanol concentration is the minimum, which is less than 2.0×10-4. The interference of carbon dioxide and water vapor can be mostly eliminated through interference correction. Importantly, the ethanol concentration can be predicted more accurately. |
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