• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 62 ›› Issue (6): 1-28.doi: 10.3901/JME.260173

• 特邀专栏:轧制技术与智能化 • 上一篇    

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宽幅热轧带钢高效集约生产与质量精益管控研究进展

邵健1,2, 何安瑞1,2, 杨荃1,2   

  1. 1. 北京科技大学国家板带生产先进装备工程技术研究中心 北京 100083;
    2. 北京科技大学高效轧制与智能制造国家工程研究中心 北京 100083
  • 收稿日期:2025-07-15 修回日期:2025-11-18 发布日期:2026-05-12
  • 作者简介:邵健(通信作者),男,1980年出生,博士,教授,博士研究生导师。主要研究方向为轧制过程控制多场耦合理论与建模、冶金智能工厂数字孪生与多业务协同智能控制技术。E-mail:jianshao@ustb.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(52574426)。

Research Progress on High-efficiency Intensive Production and Lean Quality Control for Wide Hot-rolled Steel Strip

SHAO Jian1,2, HE Anrui1,2, YANG Quan1,2   

  1. 1. National Engineering Research Center of Flat Rolling Equipment, University of Science and Technology Beijing, Beijing 100083;
    2. National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083
  • Received:2025-07-15 Revised:2025-11-18 Published:2026-05-12

摘要: 宽幅热轧带钢作为现代制造业的关键原材料,其高效集约生产与质量精益管控是支撑产业升级的关键。然而,热连轧生产过程影响因素多变量、强耦合,同时存在物料信息感知缺失、数据孤岛壁垒及关键环节自动化薄弱等难题,严重制约了质量控制、轧制稳定性、制造成本的协同优化。系统梳理了近些年技术突破,聚焦以下核心领域的研究进展:热连轧物料多维信息感知领域,基于机器学习与深度学习算法构建的鲁棒性感知系统,有效攻克高温强干扰环境下特征提取的技术瓶颈,显著提升复杂工况下的信息获取能力;多区作业信息互联和端边协同领域,通过多源异构数据融合与动态资源调配机制,打通库区-轧线-磨辊间的业务断点,实现跨区域作业协同优化;热连轧多区域集约化生产领域,依托智能检测与高精度混合建模方法,开发以少人化控制为目标的智能轧制技术,强化生产流程的紧凑性与响应速度;热连轧多业务协同领域,基于信息物理系统深度融合框架,建立在线预判、实时监控与异常诊断的精益化管控平台,推动多业务下生产管控方式变革。最后对宽幅热轧带钢高效集约生产与质量精益管控技术发展进行了总结和展望。

关键词: 热轧带钢, 质量精益管控, 集约化生产, 多区域集控, 多业务协同

Abstract: Wide hot-rolled strip is a core raw material for modern manufacturing,and its efficient large-scale production combined with refined quality management is essential for industrial upgrading. However,the hot rolling process is characterized by strongly coupled multivariable factors,along with limited material information sensing,fragmented data systems,and insufficient automation in critical stages. These challenges hinder the coordinated optimization of product quality,rolling stability,and manufacturing cost. This research systematically reviews recent technological advances,with a focus on progress in the following key areas. In the field of multidimensional material information sensing for hot continuous rolling,robust sensing systems based on machine learning and deep learning have addressed the difficulty of feature extraction under high-temperature and high-noise conditions,substantially improving information acquisition in complex conditions. In the area of multi-zone operational interconnection and edge–end collaboration,the integration of heterogeneous data from multiple sources and the use of dynamic resource allocation mechanisms have eliminated information discontinuities among storage yards,rolling lines,and roll grinding systems,enabling coordinated optimization across regions. In centralized control of multiple rolling lines and regions in hot continuous rolling,intelligent rolling technologies oriented toward reduced manual intervention have been developed by leveraging advanced inspection systems and high-accuracy hybrid modeling,thereby enhancing the compactness and responsiveness of the production process. In cross-business coordination for hot continuous rolling,lean management platforms integrating online prediction,real-time monitoring,and anomaly diagnosis have been established within a deeply integrated cyber–physical framework,driving transformation in production management across multiple business domains. Finally,the paper summarizes current developments and outlines future directions for efficient large-scale production and refined quality management of wide hot-rolled strip.

Key words: hot-rolled steel strip, lean quality control, intensive production, multi-zone centralized control, multi-service coordination

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