Clustering Analysis and Application of Operative Profile in Guofeng No.1 Blast Furnace Based on the Algorithm of TwoStep
CAO Ying-jie1,ZHANG Jian-liang1,2,GUO Hong-wei1,2,DU Shen1,BAI Jun-li1
1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China 2.State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China
Abstract：As the technology of data mining applied to the management of operation profile, making clustering analysis of the thermocouple temperature of blast furnace cooling stave with the algorithm of TwoStep in data mining in Guofeng No. 1 blast furnace, the relationship between the change of operative profile and production index of blast furnace was built, and some rules on the change of operative profile related to gas permeability index were summarized. The data on the process of practical production in Guofeng in November 2012 was taken an example to monitor the application results of the clustering analysis online. The practice has proved that the result of clustering analysis can effectively monitor and control the change of operative, and it can provide reliable information on the blast furnace monitoring.
曹英杰，张建良 ，国宏伟 ，杜申，白俊丽. 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,,DU Shen,BAI Jun-li. Clustering Analysis and Application of Operative Profile in Guofeng No.1 Blast Furnace Based on the Algorithm of TwoStep. Iron and Steel, 2013, 48(10): 17-22.
2013, Vol. 48 
