摘要
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。
As the technology of data mining applied to the management of operation profile, making clustering analy sis 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 summa rized. 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.
出处
《钢铁》
CAS
CSCD
北大核心
2013年第10期17-22,35,共7页
Iron and Steel
基金
国家自然科学基金委员会与宝钢集团有限公司联合资助项目(51134008)
国家自然科学基金资助项目(51204013)
中央高校青年人才培养基金资助项目(FRF-TP-12-020A)
关键词
操作炉型
TwoStep算法
聚类分析
透气性指数
在线监测
operative profile
algorithm of TwoStep
clustering analysis
gas permeability index
on line monitoring
