数字孪生驱动的热轧钢卷边裂管控框架  

Digital twin-driven control framework for edge crack in hot rolled coil

作　　者：曾凡航 ZENG Fanhang(Key Laboratory of Metallurgical Equipment and Control of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China;Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering,Wuhan University of Science and Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学冶金装备及其控制教育部重点实验室,武汉430081 [2]武汉科技大学机械传动与制造工程湖北省重点实验室,武汉430081

出　　处：《智能计算机与应用》2023年第7期89-93,共5页Intelligent Computer and Applications

摘　　要：在实际生产中导致热轧钢卷出现边裂缺陷的因素众多,并且人员也无法对边裂缺陷进行实时预测。针对这些问题,本文结合数字孪生技术,提出热轧钢卷边裂缺陷管控框架,从虚拟模型仿真和数据驱动的角度出发,建立钢卷热轧过程孪生模型,并分析了数据采集、数据融合、融合数据一致性检验、边裂缺陷预测等关键技术,最后展望了该理论框架的实现对边裂缺陷的管控效果。In actual production,there are many factors that lead to the edge crack of hot rolled coil,and it is impossible to predict the edge crack in real time.In order to solve these problems,the paper combines with digital twinning technology,and proposes the control framework of hot rolled coil edge crack.From the perspective of virtual model simulation and data-driven technology,the paper establishes the twin model of hot rolling process,and analyses the key technologies,including data collection,data fusion,fusion data consistency test and prediction of edge crack.Finally,the paper looks forward to the effect of the theoretical framework on the control of edge crack.

关 键 词：钢卷热轧 孪生模型 边裂管控 缺陷预测 

分 类 号：TB472[一般工业技术—工业设计]