影响焦炭质量预测效果的原因分析  

Analysis on Reasons Affecting Predictive Effects of Coke Quality

作　　者：贾晓宗[1] 陈影[1] 芦建文 Jia Xiao-zong;Chen Ying;Lu Jian-wen(Coke Chemical Engineering Branch Co.of Inner Mongolia Baotou Steel Union Co.,Ltd.,Baotou 014010,Inner Mongolia Autonomous Region,China;Information Service Center of Baotou Iron&Steel(Group)Co.,Ltd.,Baotou 014010,Inner Mongolia Autonomous Region,China)

机构地区：[1]内蒙古包钢钢联股份有限公司煤焦化工分公司,内蒙古包头014010 [2]包头钢铁(集团)有限责任公司信息服务中心,内蒙古包头014010

出　　处：《包钢科技》2020年第2期5-7,24,共4页Science & Technology of Baotou Steel

摘　　要：焦炭质量预测非常重要但误差较大,文章对影响焦炭质量预测效果的因素进行了探讨,将工艺变量引入预测模型用大数据方法进行研究,对误差原因进行了分析,并提出了改进建议。The prediction of coke quality is very important,but the errors are larger.In this paper,the factors affecting predictive effects of coke quality are discussed,the process variables are introduced into prediction model and the big data method is used to study.Moreover,the reasons of errors are analyzed and the improvement suggestions are put forward.

关 键 词：焦炭质量预测 工艺变量 大数据分析 

分 类 号：TF526.1[冶金工程—钢铁冶金]