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基于数据驱动的酸轧板形参数与连退带钢跑偏相关性分析及预测评价

Data-Driven Correlation Analysis and Predictive Evaluation of Continuous Annealing Strip Deviation Based on Pickling-Rolling Strip Shape Parameters

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【作者】 袁雨田张飞荆丰伟黄学忠

【Author】 Yuan Yutian;Zhang Fei;Jing Fengwei;Huang Xuezhong;National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing,University of Science and Technology Beijing;Technical Research Institute,Guangxi Beigang New Material Co.,Ltd.;

【机构】 北京科技大学高效轧制与智能制造国家工程研究中心广西北港新材料有限公司技术研究院

【摘要】 针对连退炉内带钢跑偏问题,本研究旨在通过酸轧板形的二次拟合分析,建立非对称浪形与连退跑偏的量化关联模型,提出一种基于板形特征参数的跑偏预测与评价方法。本文从数据驱动的角度,对酸轧板形与连退跑偏的关系进行相关性研究,揭示了非对称浪形的一次项积分特性对连退跑偏的主导作用,为连退炉区稳定生产提供理论依据。通过本研究对酸轧带钢板形进行评价,可降低连退炉区带钢跑偏事故发生率,提升产线稳定性。

【Abstract】 To address the issue of strip deviation in continuous annealing furnaces, this study aims to establish a quantitative correlation model between asymmetric wave shapes and strip deviation through quadratic fitting analysis of pickling-rolling strip shapes, and proposes a deviation prediction and evaluation method based on strip shape characteristic parameters. From a data-driven perspective, this paper investigates the correlation between pickling-rolling strip shapes and strip deviation in continuous annealing, revealing the dominant role of the first-order integral characteristics of asymmetric wave shapes in causing deviation. The findings provide a theoretical foundation for stabilizing production in continuous annealing furnace sections. By evaluating the strip shape characteristics of acid-rolled strips through this research, the accident rate of strip deviation in continuous annealing furnaces can be reduced, thereby enhancing the stability of the production line.

【基金】 国家重点研发计划重点专项——面向多场景的流程工业绿色协同调度与智能优化方法(2022YFB3304000)
  • 【文献出处】 中国仪器仪表 ,China Instrumentation , 编辑部邮箱 ,2026年05期
  • 【分类号】TG335.56
  • 【下载频次】1
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