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作 者:邓旭阳 张亚竹[1] 安超达 曹宇 黄军[1] DENG Xuyang;ZHANG Yazhu;AN Chaoda;CAO Yu;HUANG Jun(School of Energy and Environment,Inner Mongolia University of Science and Technology,Baotou 014010,China)
机构地区:[1]内蒙古科技大学能源与环境学院,内蒙古包头014010
出 处:《重型机械》2024年第2期40-46,共7页Heavy Machinery
摘 要:铁钢界面是连接炼铁与炼钢间的重要工序,及时掌握铁水温度变化,提前半小时得到鱼雷罐车中铁水温度范围区间对于现场后续工作有很强的指导性,准确预测铁钢界面铁水温度对实现铁钢界面极致减碳和降本增效具有重要意义。为解决机理模型在铁钢界面预测铁水温度的局限性,基于某国内钢铁企业铁钢界面实际数据开发多种数据模型预测铁水温度,与机理模型相比,数据模型整体命中率提高1.13%。根据铁水转运过程中传热学特征和现场实际情况,将机理模型和数据模型融合形成串联模型和并联模型预测铁水温度,串联模型在实际应用过程中整体命中率为93.89%,并联模型整体命中率为94.26%高于其他模型。The ironmaking and steelmaking interface is an important process connecting ironmaking and steelmaking.Timely understanding of the changes in hot metal temperature and obtaining the range of hot metal temperature in torpedo tank car half an hour in advance provides strong guidance for the follow-up work on site.Accurately predicting the hot metal temperature is of great significance for achieving ultimate carbon reduction and cost reduction and efficiency enhancement at the interface.In order to solve the limitation of the mechanism model in predicting the hot metal temperature at the interface,a variety of data models were developed based on the actual data of a domestic steel enterprise.Compared with the mechanism model,the overall hit rate of the data model was increased by 1.13%.According to the heat transfer characteristics and the actual situation of the field,the mechanism model and the data model were fused to form series model and parallel model to predict the hot metal temperature.The overall hit rate of the series model is 93.89%in practical application,and that of the parallel model is 94.26%,which are higher than that of other models.
关 键 词:融合模型 铁水温降 铁钢界面 机理模型 数据模型
分 类 号:TF345.03[冶金工程—冶金机械及自动化]
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