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Title:
加熱炉における金属片の抽出温度予測装置、及び予測モデルの学習装置
Document Type and Number:
Japanese Patent JP7428868
Kind Code:
B2
Abstract:
To accurately predict an extraction temperature of a metal piece in a heating furnace.SOLUTION: In an extraction temperature prediction device 100, an input section 101 accepts input of the characteristic quantities of a target steel slab and the characteristic quantities of each seven steel slabs before and after the target steel slab. The characteristic quantities of the steel slab are target extraction temperature, material, size (length, width, thickness), charging temperature, retention temperature, and retention time. A prediction model holding section 102 holds a prediction model by machine learning. In the prediction model, explanatory variables are the characteristic quantities of one steel slab and the characteristic quantities of each seven steel slabs before and after one steel slab, and an objective variable is extraction temperature of one steel slab. A prediction section 103 uses the prediction model held by the prediction model holding section 102 to predict the extraction temperature of the target steel slab based on the characteristic quantities of the target steel slab and the characteristic quantities of each seven steel slabs before and after the target steel slabs input to the input section 101.SELECTED DRAWING: Figure 1

Inventors:
Yuto Hirata
Takumi Adachi
Application Number:
JP2019142366A
Publication Date:
February 07, 2024
Filing Date:
August 01, 2019
Export Citation:
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Assignee:
Nippon Steel Corporation
International Classes:
C21D9/00; B21B38/00
Domestic Patent References:
JP2005048202A
JP62238329A
JP9268328A
JP2018077823A
JP2001349883A
JP2012188752A
JP1246322A
JP2013209692A
JP2013252531A
JP2007262527A
JP2013255943A
JP2019014953A
JP2000144255A
Attorney, Agent or Firm:
Koetsu Kokubun