| COREX冷煤气成分预测的二步建模方法 |
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| 引用本文： | 赵晨熙,张群,徐金梧,黎敏.COREX冷煤气成分预测的二步建模方法[J].北京科技大学学报,2012,34(10):1184-1189. |
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| 作者姓名： | 赵晨熙 张群 徐金梧 黎敏 |
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| 作者单位： | 1. 北京科技大学机械工程学院,北京,100083
2. 宝钢股份研究院,上海,201900 |
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| 基金项目： | 国家自然科学基金资助项目(50934007;51004013);中央高校基本科研业务费专项(FRF-MP-09-009B;FRF-AS-09-008B) |
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| 摘 要： | 针对熔融气化炉冷煤气成分含量,提出了基于熵权模糊C均值聚类和偏最小二乘的COREX冷煤气成分预测方法.建模过程中首先根据料单中各种原料的单耗量,利用熵权模糊C均值聚类的方法将料单聚类成若干种料单类别,然后针对不同的料单类别,利用偏最小二乘法分别建立冷煤气成分预测模型.对宝钢COREX-1#炉实际生产数据验证结果表明:该方法可以有效地建立COREX冷煤气成分预测模型,具有较好的预测精度.
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| 关 键 词： | 熔炼 铁矿石还原 煤气 预测 模糊聚类 偏最小二乘法 |
Two-stage modeling method for predicting COREX cold gas content |
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| ZHAO Chen-xi,ZHANG Qun,XU Jin-wu,LI Min.Two-stage modeling method for predicting COREX cold gas content[J].Journal of University of Science and Technology Beijing,2012,34(10):1184-1189. |
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| Authors: | ZHAO Chen-xi ZHANG Qun XU Jin-wu LI Min |
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| Institution: | 1) 1) School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China 2) Research Institute,Baoshan Iron & Steel Co.Ltd.,Shanghai 201900,China |
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| Abstract: | A method for predicting cold gas content in a melter-gasifier was proposed based on entropy-weighted fuzzy C-means clustering and partial least squares(PLS).In the modeling process,an entropy-weighted fuzzy C-means clustering algorithm is used to get the clustering result of burden calculation reports according to the consumption of raw materials at first.Then,different prediction models are built based on a PLS algorithm for various cluster types.The real field data of cold gas content from Baosteel COREX-1# were used for verification.It is shown that the method can build the prediction model of COREX cold gas content effectively,and has an advantage in prediction accuracy. |
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| Keywords: | smelting iron ore reduction gases prediction fuzzy clustering partial least squares |
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