| 计算机辅助汽油调合设计 |
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| 引用本文： | 张运陶,段启彬,白春艳,杨晓丽,郑伟.计算机辅助汽油调合设计[J].化工学报,2006,57(7):1732-1735. |
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| 作者姓名： | 张运陶 段启彬 白春艳 杨晓丽 郑伟 |
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| 作者单位： | 西华师范大学应用化学研究所，四川 南充 637002;南充炼油化工总厂，四川 南充 637000 |
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| 摘 要： | 引言 汽油调合是炼油生产的重要环节,由于汽油是炼油厂的主要产品,调合结果对炼油厂的经济效益影响甚大,因此,炼油企业均希望通过对调合汽油的生产优化获取更多的利润.
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| 关 键 词： | 汽油调合 辛烷值 预测模型 数据变换 机器学习 |
| 文章编号： | 0438-1157（2006）07-1732-04 |
| 收稿时间： | 08 25 2005 12:00AM |
| 修稿时间： | 2005-08-252005-12-02 |
Computer assisted gasoline blending design |
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| ZHANG Yuntao,DUAN Qibin,BAI Chunyan,YANG Xiaoli,ZHENG Wei.Computer assisted gasoline blending design[J].Journal of Chemical Industry and Engineering(China),2006,57(7):1732-1735. |
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| Authors: | ZHANG Yuntao DUAN Qibin BAI Chunyan YANG Xiaoli ZHENG Wei |
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| Abstract: | The design of gasoline blending made a linear transformation of the set of variables comprising component octane number, component distillation process data, component proportion of blending gasoline, and additive quantity. With a production-based data LSSVM and v-SVR and RBFNN machine learning methods the prediction model for octane number was established, and the design was computerized for directing gasoline blending in a petroleum refinery. The experimental results showed that the mean of value of absolute error was 0. 227RON, and the maximun absolute error was 0. 480RON. The experiments with the absolute error within 0.3RON accounted for 76.2% of the total experiments while those with absolute error within 0.4RON accounts for 90.5% of total experiments. |
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| Keywords: | gasoline blending octane number prediction model transformation of data machine learning |
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