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Title:
高炉の荷下り速度予測モデルの学習方法、高炉の荷下り速度予測方法、高炉の操業ガイダンス方法、高炉の荷下り速度制御方法、溶銑の製造方法、高炉の操業方法、及び高炉の荷下り速度予測モデルの学習装置
Document Type and Number:
Japanese Patent JP6933196
Kind Code:
B2
Abstract:
To provide a learning method of a level lowering speed prediction model for a blast furnace, level lowering speed prediction model for a blast furnace, prediction method of level lowering speed for a blast furnace, blast furnace operation guidance method, control method of level lowering speed for a blast furnace, molten iron production method, blast furnace operation method, and a learning device for a level lowering speed prediction model for a blast furnace, by which a level lowering speed in a blast furnace can be accurately predicted.SOLUTION: The learning method of a level lowering speed prediction model for a blast furnace according to the present invention includes at least one operation variables consisting of a flow rate in blast furnace operation, enrichment oxygen flow, pulverized coal blowing amount; ventilation moisture content; and a coke ratio at the top of the furnace, as an input variable. The learning method includes: a step of constructing a model of a level lowering speed prediction model for a blast furnace which uses a level lowering speed of a blast furnace at the time step one time step ahead of the current time as an output variable as a recursive neural network model; and a step of determining a learning parameter of a level lowering speed prediction model of a blast furnace using learning data based on the raw material residence time in the blast furnace.SELECTED DRAWING: Figure 1

Inventors:
Yoshiya Hashimoto
Tatsuya Kaise
Application Number:
JP2018145017A
Publication Date:
September 08, 2021
Filing Date:
August 01, 2018
Export Citation:
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Assignee:
jfe Steel Corporation
International Classes:
C21B5/00; C21B7/24; F27B1/28; F27D21/00
Domestic Patent References:
JP62270712A
JP2182813A
JP1205010A
Foreign References:
KR1020140016635A
US4248625
Attorney, Agent or Firm:
Sakai International Patent Office



 
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