首页> 外国专利> Method for learning model, method for changing running plate thickness, manufacturing method of steel plate, model learning device, running plate thickness changing device and steel plate manufacturing apparatus

Method for learning model, method for changing running plate thickness, manufacturing method of steel plate, model learning device, running plate thickness changing device and steel plate manufacturing apparatus

机译:用于学习模型的方法,改变运行板厚度的方法,钢板,模型学习装置,运行板厚改变装置和钢板制造装置的制造方法

摘要

Problem to be solved: to provide a model learning method, a method of changing a running plate thickness, a method of manufacturing a steel plate, a model learning device, a running plate thickness changing device and a steel plate manufacturing apparatus capable of performing a high accuracy of a change in the thickness of a running plate during continuous cold rolling by a cold rolling mill.The model learning method is based on the results of the cold rolling process in which the steel plate is welded with different conditions and continuously rolled by the cold rolling machine composed of two or more continuous rolling stands, and the result data of the previous step of the cold rolling process is input data. A learning model is generated by machine learning using rolling load of each rolling stand of a cold rolling mill as output data.Diagram
机译:要解决的问题:提供一种模型学习方法,一种改变运行板厚度的方法,一种制造钢板的方法,模型学习装置,运行板厚度改变装置和能够执行A的钢板制造装置 冷轧机连续冷轧过程中运行板厚度的高精度。模型学习方法基于冷轧过程的结果,其中钢板焊接不同的条件并连续轧制 由两个或更多个连续轧制台组成的冷轧机,以及冷轧过程的前一步的结果数据是输入数据。 使用冷轧机的每个滚动架的滚动负载作为输出数据,通过机器学习产生学习模型作为输出数据.diagram

著录项

  • 公开/公告号JP2021133415A

    专利类型

  • 公开/公告日2021-09-13

    原文格式PDF

  • 申请/专利权人 JFEスチール株式会社;

    申请/专利号JP20200033379

  • 发明设计人 ▲高▼山 正浩;吉田 翔;

    申请日2020-02-28

  • 分类号B21B37/26;G06N20;

  • 国家 JP

  • 入库时间 2022-08-24 21:00:29

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