基于数字孪生的宽厚板轧机状态智能识别技术研究  

Research on Intelligent Recognition Technology for the Status of Wide and Thick Plate Rolling Mills Based on Digital Twins

作　　者：周平 杨恒 霍宪刚 黄少文 李新东 ZHOU Ping;YANG Heng;HUO Xiangang;HUANG Shaowen;LI Xindong(Research Institute,Shandong Iron and Steel Group Co.,Ltd.,Jinan 271104,China;Laiwu Iron and Steel Group Yinshan Section Steel Co.,Ltd.Plate and Strip Factory,Jinan 271104,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]莱芜钢铁集团银山型钢有限公司板带厂,山东济南271104

出　　处：《山东冶金》2024年第1期54-57,共4页Shandong Metallurgy

摘　　要：宽厚板生产过程高度依赖轧机设备可靠性和运行精度,介绍了基于数字孪生和轧制过程大数据的精轧状态智能识别技术。在构建多维度模型和轧机数字孪生体基础上,研究开发轧机状态智能识别平台,实时动态显示轧机运行状态,提升了轧机轧制过程的精准控制水平。相关技术应用后,轧机状态得到显著改善,钢板镰刀弯比例降低至3.5%,轧件刮框等异常问题降低25%以上。The production process of wide and thick plates highly relies on the reliability and operating accuracy of rolling mill equipment.This article introduces the intelligent recognition technology of precision rolling status based on digital twin and big data of rolling process.On the basis of constructing a multi-dimensional model and rolling mill digital twin,a rolling mill status intelligent recognition platform is developed to dynamically display the running status of the rolling mill in real time,improve the precision control level of the rolling process of the rolling mill.After the application of relevant technologies,the rolling mill status has been significantly improved,the proportion of steel plate sickle bending has been reduced to 3.5%,and abnormal problems such as scraping frames of rolled parts have been reduced by more than 25%.

关 键 词：轧机 数字孪生 多源数据 状态智能识别 “机理+数据”模型 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]