Model of Hot Metal Silicon Content in Blast Furnace Based on Principal Component Analysis Application and Partial Least Square

钢铁研究学报(英文版), 2011, 18(10): 13-16.

Model of Hot Metal Silicon Content in Blast Furnace Based on Principal Component Analysis Application and Partial Least Square

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1.School of Mathematics, Physics and Biological Engineering, University of Science and Technology Inner Mongolia, Baotou 014010, Inner Mongolia, China;

2.School of Information Engineering, University of Science and Technology Inner Mongolia, Baotou 014010, Inner Mongolia, China

3.School of Mathematics, Physics and Biological Engineering, University of Science and Technology Inner Mongolia, Baotou 014010, Inner Mongolia, China;

4.School of Mathematics, Physics and Biological Engineering, University of Science and Technology Inner Mongolia, Baotou 014010, Inner Mongolia, China;

基金项目: National Natural Science Foundation of China(51064019) Natural Science Foundation of Inner Mongolia of China(20010MS0911;NJzy08075)

关键词：铁水硅含量 , 主成分分析 , 偏最小二乘 , 回归模型 , 高炉 , 铁水质量 , 回归方法 , 相对稳定

Model of Hot Metal Silicon Content in Blast Furnace Based on Principal Component Analysis Application and Partial Least Square

Keywords： hot metal silicon content , partial least square , principal component analysis , temperature prediction ,

In blast furnace （BF） iron-making process, the hot metal silicon content was usually used to measure the quality of hot metal and to reflect the thermal state of BF. Principal component analysis （PCA） and partial least- square （PLS） regression methods were used to predict the hot metal silicon content. Under the conditions of BF rela- tively stable situation, PCA and PLS regression models of hot metal silicon content utilizing data from Baotou Steel No. 6 BF were established, which provided the accuracy of 88.4% and 89.2%. PLS model used less variables and time than principal component analysis model, and it was simple to calculate. It is shown that the model gives good results and is helpful for practical production.

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Model of Hot Metal Silicon Content in Blast Furnace Based on Principal Component Analysis Application and Partial Least Square

Model of Hot Metal Silicon Content in Blast Furnace Based on Principal Component Analysis Application and Partial Least Square

参考文献