Evaluation of Blast Furnace Operation Profile Based on Principal Component Analysis (PCA)

doi:10.12068/j.issn.1005-3026.2015.07.009

Abstract

Abstract: Aiming at solving the existing problems that there are many indexes used in operation profile evaluation and there are many overlaps among them， an improved method based on principal component analysis (PCA) was proposed. The method can generate three new core indicators from traditional indexes in operation profile evaluation (coke ratio， coal ratio， comprehensive coke ratio， utilization coefficient and the silicon content in hot metal). The new core indicators are independent of each other in space， and can represent the original ones. The above problems are thus solved. The improved model of operation profile evaluation was developed and applied to No.1 1780m³ blast furnace in Guofeng Steel， and the main categories of operation profile of the blast furnace were determined and evaluated.

Key words: operation profile, clustering, production indexes, principal component analysis, comprehensive evaluation

CLC Number:

TF543.3

YAN Bing-ji， ZHANG Jian-liang， GUO Hong-wei， CAO Ying-jie. Evaluation of Blast Furnace Operation Profile Based on Principal Component Analysis (PCA)[J]. Journal of Northeastern University Natural Science, 2015, 36(7): 952-956.

References

[1]Inada T，Takatani K，Takata K，et al.The effect of the change of furnace profile with the increase in furnace volume on operation［J］.ISIJ International，2003，43(8):1143-1150.
[2]Kholzakov V I，Bratchenko V P，Ostroukhov M Y，et al.The effect of the working profile of the blast furnace on the distribution of gas streams［J］.Metallurgist，1963，7(8):341-344.
[3]Ichida M，Nishihara K，Tamura K，et al.Influence of inner wall profile on descending and melting behavior of burden in blast furnace［J］. ISIJ International，1991，31(5):515-523.
[4]陈令坤，左海滨，于仲洁，等．高炉冶炼专家系统的开发研究［J］．钢铁，2006，41(1):14-18.(Chen Ling-kun，Zuo Hai-bin，Yu Zhong-jie，et al.Development of expert system on blast furnace［J］. Iron and Steel，2006，41(1):14-18.)
[5]车玉满，孙鹏，李连成，等．鞍钢铜冷却壁高炉操作炉型管理模型开发与应用［J］．炼铁，2007，26(5):18-21.(Che Yu-man，Sun Peng，Li Lian-cheng，et al.The development and application of the inner profile management model in Angang’s BF lined with the copper stave［J］.Ironmaking，2007，26(5):18-21.)
[6]Zagaria M，Dimastromatteo V，Colla V.Monitoring erosion and skull profile in blast furnace hearth［J］.Ironmaking & Steelmaking，2010，37(3):229-234.
[7]Zhang Y，Deshpande R，Huang D，et al.Numerical analysis of blast furnace hearth inner profile by using CFD and heat transfer model for different time periods［J］.International Journal of Heat and Mass Transfer，2008，51(1/2):186-197.
[8]Brnnbacka J，Saxén H.Model for fast computation of blast furnace hearth erosion and buildup profiles［J］.Industrial and Engineering Chemistry Research，2008，47(20):7793-7801.
[9]García F A，Campoy P，Mochón J，et al.A new “user-friendly” blast furnace advisory control system using a neural network temperature profile classifier［J］．ISIJ International，2011，50(5):730-737.
[10]Saxena C，Prasad S，Lavanya A，et al.Classification of above burden profile using SOM and k-means ［J］．Ironmaking & Steelmaking，2007，34(1):5-9.
[11]曹英杰，张建良，国宏伟，等．基于TwoStep算法的国丰1号高炉操作炉型聚类分析与应用［J］．钢铁，2013，48(10):17-22.(Cao Ying-jie，Zhang Jian-liang，Guo Hong-wei，et al.Clustering analysis and application of operative profile in Guofeng No.1 blast furnace based on the algorithm of TwoStep［J］.Iron and Steel，2013，48(10):17-22.)
[12]Guo H W，Su B X，Zhang J L，et al.Extracting the core indicators of pulverized coal for blast furnace injection based on principal component analysis［J］. International Journal of Minerals，Metallurgy and Materials，2013，20(3):246-252.

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