摘要
基于现有的硬件监测基础与信息系统,充分吸收国内外高炉智能制造经验,按照数据采集存储、工业建模、数据驱动的技术路线构建了高炉数字孪生系统,实现了高炉生产实体与数字虚体的精准映射。系统投入使用后,日产生铁由6 107 t提高到6 333 t以上,利用系数达到2.52 t/m~3·d,燃料比由536 kg/tFe降至530 kg/tFe,高炉综合焦比降低4 kg/tFe,年创效2 970万元。
Based on the existing hardware monitoring equipment and information system,together with completely getting the experiences in intelligent manufacturing of blast furnaces at home and abroad,the digital twin system for a blast furnace was constructed by following the technical route in terms of data-collecting and memorizing,industrial modeling,and data driving,by which the accurate mapping between the operation of the blast furnace in production and the digital virtual operating.After the system was put into operation,the daily pig iron output was increased to more than 6333 t from 6107 t,the capacity factor of a blast furnace was 2.52 t/m3·d,the fuel ratio was reduced to 530 kg/tFe from 536 kg/tFe,the comprehensive coke ratio of the blast furnace was reduced by 4 kg/tFe,and thus the annual creating benefits reached 29.7 million yuan.
作者
何天庆
宁武
王晓雪
葛小亮
仝占国
赵宏博
HE Tianqing;NING Wu;WANG Xiaoxue;GE Xiaoliang;TONG Zhanguo;ZHAO Hongbo(Chaoyang Iron and Steel Co.,Ltd.of Ansteel Group Co.,Ltd.,Chaoyang 122000,Liaoning,China;Beijing Zhiye Internet Technology Co.,Ltd.,Beijing 100144,China;Beijing Beike Yili Technology Co.,Ltd.,Beijing 100041,China)
出处
《鞍钢技术》
CAS
2022年第6期66-71,共6页
Angang Technology
关键词
高炉
数字孪生
工业建模
智能制造
blast furnace
digital twins
industrial modeling
intelligent manufacturing
