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板带材生产全流程数字孪生模型及信息物理系统研究现状与趋势 被引量:10

Research status and tendency of digital twin model and cyber physical system for sheet and strip production process
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摘要 板带材生产具有难以精确建模、运行状态不可测、非线性动态耦合等特征,限制了产品质量和产线运行水平进一步提升。如何提高模型精度与复杂工况的动态适应能力,实现工序内和工序间的各层次协调优化,是板带生产面临的挑战性问题。研究高维动态工业大数据预处理、分布均衡化与特征提取方法,以集成学习建模对多工序动态运行指标进行评价;构建高精度动态数字孪生模型;开发运算速度快、具有柔性约束处理能力的多目标优化算法;构建以动态数字孪生为核心、以协调优化为特征的全流程、多层次信息物理系统,提高生产过程对于复杂多变工况的适应能力,以多层次协调实现工艺参数和过程控制能力的优化配置,并形成流程工业数字孪生模型和信息物理系统的普适性构建方法,是将来板带生产研究的重点。 The production processes of sheet and strip have the characteristics of difficult to establish accurate model, unpredictable running state, nonlinear dynamic coupling, etc., which limits the product quality and operation level of production line to be further improved. How to improve the precision and adaptability of the model under complex dynamic working conditions and realize the coordinated optimization of each level in and between processes is a challenging problem in this field. Preprocessing, distribution equalization and feature extraction methods for the high-dimensional dynamic industrial big data were studied, and then the multi-process dynamic operating index was evaluated by integrated learning modeling. High-precision dynamic digital twin models were bunlt. Additionally, a multi-objective optimization algorithm with fast calculation speed and large processing capacity under flexible constraints was developed.A though process and multi-level cyber physical system with dynamic digital twin as the core and coordination optimization as the characteristic was developed, improving the adaptability of the production process to complex and changeable working conditions, realizing the optimal configuration of process parameters and process control capabilities through multi-level coordination, and forming a universal construction method for process industry digital twin models and cyber-physical systems. They are the focus of future research in this field.
作者 孙杰 叶俊成 彭文 张殿华 SUN Jie;YE Juncheng;PENG Wen;ZHANG Dianhua(State Key Laboratory of Rolling and Automation,Northeastern University,Shenyang 110819,China)
出处 《轧钢》 2022年第6期37-45,共9页 Steel Rolling
基金 国家自然科学基金项目(U21A20117,U52074085) 辽宁省兴辽英才计划项目(XLYC1907065) 中央高校基本科研业务费项目(N2004010)。
关键词 板带材 数字孪生模型 多目标优化算法 信息物理系统 sheet and strip digital twin model multi-objective optimization algorithm cyber physical system
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