钢铁数字化协同制造技术的应用实践  

Application practice of digital collaborative manufacturing technology in steel industry

作　　者：杨恒 周平 丁敬国[2] 王成镇 李长新 牛春波 YANG Heng;ZHOU Ping;DING Jingguo;WANG Chengzhen;LI Changxin;NIU Chunbo(Research Institute,Shandong Iron and Steel Group Co.,Ltd.,Jinan 271104,China;State Key Laboratory of Rolling and Automation,Northeastern University,Shenyang 110819,China;Rizhao Co.,Ltd.,Shandong Iron and Steel Group,Rizhao 276800,China)

机构地区：[1]山东钢铁集团有限公司研究院,山东济南271104 [2]东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳110819 [3]山东钢铁集团日照有限公司,山东日照276800

出　　处：《轧钢》2024年第3期98-106,共9页Steel Rolling

基　　金：国家重点研发计划项目(2022YFB3304800);国家自然科学基金项目(U21A20475)。

摘　　要：山钢生产过程中存在数据融合困难、工序发展不均衡、关键工艺控制模型精度低、企业内外部协同共享不够等问题。为解决上述问题,山钢构建了多源数据采集与异构数据处理平台,实现了异构数据的自动转换、自动匹配和时空同步。应用数据驱动融合机理的动态数字孪生模型,针对冶炼过程、热轧过程等工序的关键控制难题,通过钢铁制造过程数字化产业链/供应链协同平台,实现了面向未来的数字化创新应用和钢铁数字化协同制造。相关技术应用后,订单交货准确度达到96.56%以上,人均钢产量达到1 710 t以上。There are some problems,such as difficulties in data fusion,imbalanced process development,low accuracy of key process control models and insufficient collaboration and sharing between internal and external enterprises,in the manufacturing process of Shandong Iron and Steel Group Co.,Ltd.To address the above problems,a multi-source data collection and heterogeneous data processing platform was built in Shangang,and the automatic conversion,matching and spatiotemporal synchronization of heterogeneous data were carried out.A dynamic digital twin model using data-driven fusion mechanism was applied to address key control challenges in processes of smelting and hot rolling.Through the digital industrial chain/supply chain collaboration platform for the steel manufacturing process,future-oriented digital innovation applications and steel digital collaborative manufacturing have been achieved.After the application of relevant technologies,the accuracy of order delivery has reached over 96.56%,and the per capita steel production has reached over 1710 tons.

关 键 词：工业互联网 互联互通 数据驱动 动态数字孪生 数字化协同制造 数字化转型 

分 类 号：TF4[冶金工程—钢铁冶金] TG335[金属学及工艺—金属压力加工]