炼铁制造系统主料资源转换效率的主因素分析模型研究  

Development of Main Factors Analysis Model for Conversion Efficiency of Main Materials in Iron-Making Systems

作　　者：冯朝辉[1] 张华[1] 王艳红[1] 江志刚[1] 

机构地区：[1]武汉科技大学机械自动化学院,湖北武汉430081

出　　处：《机械设计与制造》2013年第6期254-256,共3页Machinery Design & Manufacture

基　　金：国家自然科学基金(70971102)

摘　　要：影响炼铁制造系统主料资源转换效率的因素众多,为了更好地描述主料资源转换效率与影响因素之间的关系,需要在诸多影响因素中确定主因素。从炼铁制造系统输入输出角度对炼铁过程功能进行分析,确定焦比为系统目标变量以及目标变量的30个影响因素。在此基础上提出了一种基于灰色关联分析的主因素分析模型,求解系统灰色关联判断矩阵,对灰色关联度排序确定主因素。应用该模型对高炉生产数据进行处理,确定了影响炼铁制造系统主料资源转换效率的主因素,为后续主料资源转换效率数学模型的研究奠定了基础。The conversion efficiency of main materials in iron-making system is determined by many influencing factors.In order to quantificationally describe the relationship between the conversion efficiency of main materials and influence factors,the main factors must be found.It gives a general analysis on the function of in iron-making system from the aspect of the system＇s inputs and outputs.Coke rate as the dependent variable and 30 independent variables are determined.A main factors analysis model based on Grey Correlation Analysis（GCA）that establishes the gray incidence matrix is employed for processing production data of the blast furnace and determining the main factors by sorting the grey correlation.The research is to lay the foundation for establishing the mathematical model of the conversion efficiency of main materials.

关 键 词：炼铁 主料资源转换效率 主因素 灰色关联分析 

分 类 号：TH16[机械工程—机械制造及自动化]