铁前数模技术进展与大数据应用探讨  

Introduction of development and progress of mathematical modeling technology in iron-making area and discussion on application prospects of big data technology

作　　者：马富涛[1] 张建良[1] 张磊 焦克新[1] 郝良元 刘福龙 MA Fu-tao;ZHANG Jian-liang;ZHANG Lei;JIAO Ke-xin;HAO Liang-yuan;LIU Fu-long(School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100081, China;Central Iron and Steel Research Institute, Hesteel Group, Shijiazhuang 050023, Hebei, China)

机构地区：[1]北京科技大学冶金与生态工程学院,北京100081 [2]河钢集团钢铁研究总院,河北石家庄050023

出　　处：《钢铁》2018年第12期1-9,共9页Iron and Steel

摘　　要：高炉专家系统是近几十年铁前数模技术高度集成的典型代表,回顾了铁前专家系统的发展历程和概况,剖析了高炉专家系统技术存在的历史局限性和技术瓶颈,着重介绍了近年来铁前数模技术的继承与发展,以及取得的成效,最后从钢铁行业需求出发,探讨了大数据及机器学习技术在铁前领域尤其是高炉领域的应用前景和研究方向。The blast furnace expert system is a typical representative of the highly integrated mathematical modeling technology in the iron-making area in recent decades.The development history and the general situation of the iron-making expert system were reviewed,and historical limitations and technical bottlenecks of the expert system technology were analyzed.Furthermore,the inheritance and the progress of the iron-making mathematical modeling technology in recent years were introduced,as well as achieved results.Finally,according to the actual requirement and status of the present steel industry,application prospects and research directions of big data and machine learning technology in the iron-making area were discussed,especially in the blast furnace area.

关 键 词：炼铁 高炉 专家系统 大数据 机器学习 

分 类 号：TF325.6[冶金工程—冶金机械及自动化]