以国丰1号高炉为平台,将数据挖掘技术运用到操作炉型管理中,采用数据挖掘中的TwoStep算法,对高炉炉身冷却壁热电偶温度值进行聚类分析,研究了操作炉型变化与高炉生产指标之间的对应关系,总结出与透气性指数相关的炉型变化的部分规律,并以国丰1号高炉2012年11月实际生产数据为例,对聚类分析结果应用情况进行在线监测。实践证明,聚类分析结果可以有效监控炉型变化,对炉况监测提供了可靠信息。 Taking Guofeng No.1 blast furnace as a platform, the data mining technology was applied to the operation furnace type management. TwoStep algorithm in data mining was used to cluster the thermocouple temperature values ​​of the blast furnace shaft cooling stave. The change of operation furnace type And blast furnace production index, summed up some rules of furnace type change related to gas permeability index. Taking the actual production data of Guo Feng 1 blast furnace in November 2012 as an example, the application of cluster analysis results was carried out Online Monitoring. Practice has proved that the results of cluster analysis can effectively monitor changes in furnace type and provide reliable information on furnace condition monitoring.