JPWO2023095647A5 - - Google Patents
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- JPWO2023095647A5 JPWO2023095647A5 JP2023505466A JP2023505466A JPWO2023095647A5 JP WO2023095647 A5 JPWO2023095647 A5 JP WO2023095647A5 JP 2023505466 A JP2023505466 A JP 2023505466A JP 2023505466 A JP2023505466 A JP 2023505466A JP WO2023095647 A5 JPWO2023095647 A5 JP WO2023095647A5
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- furnace
- refining process
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- 238000007670 refining Methods 0.000 claims 35
- 238000000034 method Methods 0.000 claims 34
- 239000002184 metal Substances 0.000 claims 15
- 229910052751 metal Inorganic materials 0.000 claims 15
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims 11
- 229910052760 oxygen Inorganic materials 0.000 claims 11
- 239000001301 oxygen Substances 0.000 claims 11
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims 10
- 229910052799 carbon Inorganic materials 0.000 claims 10
- 238000007664 blowing Methods 0.000 claims 6
- 239000002893 slag Substances 0.000 claims 5
- 238000005259 measurement Methods 0.000 claims 4
- 230000001186 cumulative effect Effects 0.000 claims 3
- 238000011156 evaluation Methods 0.000 claims 3
- 239000007789 gas Substances 0.000 claims 3
- 239000012535 impurity Substances 0.000 claims 3
- 239000000463 material Substances 0.000 claims 3
- 230000001590 oxidative effect Effects 0.000 claims 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims 2
- 238000003723 Smelting Methods 0.000 claims 2
- 238000011282 treatment Methods 0.000 claims 2
- 235000008733 Citrus aurantifolia Nutrition 0.000 claims 1
- 229910000831 Steel Inorganic materials 0.000 claims 1
- 235000011941 Tilia x europaea Nutrition 0.000 claims 1
- 229910052742 iron Inorganic materials 0.000 claims 1
- 239000004571 lime Substances 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 claims 1
- 238000005070 sampling Methods 0.000 claims 1
- 239000010959 steel Substances 0.000 claims 1
Claims (11)
前記精錬設備における吹錬反応に関するモデルのモデルパラメータと、前記実績情報と、前記精錬処理の条件と、が記憶されるデータベースから取得した過去の前記モデルパラメータを用いて、対象チャージの前記精錬処理における前記モデルパラメータを決定するモデル決定部と、
決定された前記モデルパラメータを用いて、前記溶湯の温度及び成分濃度並びにスラグの成分濃度を含む炉内の状態量を計算する炉内状態計算部と、
前記対象チャージの前記精錬処理の結果を含む前記実績情報を用いて、前記精錬処理における特定期間の始点から終点までの前記炉内の物質収支誤差及び熱収支誤差を表す項を含む評価関数に基づいて、前記対象チャージの前記精錬処理における前記モデルパラメータを計算するモデルパラメータ計算部と、を備える、炉内状態推定装置。 Includes measurement results for the smelting equipment, including the measurement results of the temperature and component concentration of the molten metal and the component concentration of the slag before or during the refining process in the refining equipment, and the flow rate and component concentration of the exhaust gas discharged from the refining equipment. an input section into which performance information and conditions for the refining process are input;
The model parameters of the model related to the blowing reaction in the refining equipment, the performance information, and the conditions of the refining process are stored in the refining process of the target charge using the past model parameters acquired from the database. a model determining unit that determines the model parameters;
an in-furnace state calculation unit that calculates in-furnace state quantities including the temperature and component concentration of the molten metal and the component concentration of slag using the determined model parameters;
Using the performance information including the results of the refining process of the target charge, based on an evaluation function including a term representing a material balance error and a heat balance error in the furnace from the start point to the end point of a specific period in the refining process. an in-furnace state estimating device, comprising: a model parameter calculation unit that calculates the model parameters in the refining process of the target charge;
精錬設備における精錬処理の開始前又は処理中の溶湯の温度及び成分濃度並びにスラグの成分濃度の計測結果、前記精錬設備から排出される排ガスの流量及び成分濃度を含む精錬設備についての計測結果を含む実績情報と、前記精錬処理の条件と、が入力される入力ステップと、
前記精錬設備における吹錬反応に関するモデルのモデルパラメータと、前記実績情報と、前記精錬処理の条件と、が記憶されるデータベースから取得した過去の前記モデルパラメータを用いて、対象チャージの前記精錬処理における前記モデルパラメータを決定するモデル決定ステップと、
決定された前記モデルパラメータを用いて、前記溶湯の温度及び成分濃度並びにスラグの成分濃度を含む炉内の状態量を計算する炉内状態計算ステップと、
前記対象チャージの前記精錬処理の結果を含む前記実績情報を用いて、前記精錬処理における特定期間の始点から終点までの前記炉内の物質収支誤差及び熱収支誤差を表す項を含む評価関数に基づいて、前記対象チャージの前記精錬処理における前記モデルパラメータを計算するモデルパラメータ計算ステップと、を含む、炉内状態推定方法。 An in-core state estimation method executed by an in-core state estimation device, the method comprising:
Includes measurement results for the smelting equipment, including the measurement results of the temperature and component concentration of the molten metal and the component concentration of the slag before or during the refining process in the refining equipment, and the flow rate and component concentration of the exhaust gas discharged from the refining equipment. an input step in which performance information and conditions for the refining process are input;
The model parameters of the model related to the blowing reaction in the refining equipment, the performance information, and the conditions of the refining process are stored in the refining process of the target charge using the past model parameters acquired from the database. a model determining step of determining the model parameters;
a furnace state calculation step of calculating the state quantities in the furnace including the temperature and component concentration of the molten metal and the component concentration of the slag using the determined model parameters;
Using the performance information including the results of the refining process of the target charge, the method is based on an evaluation function including a term representing a material balance error and a heat balance error in the furnace from the start point to the end point of a specific period in the refining process. and a model parameter calculation step of calculating the model parameters in the refining process of the target charge.
Based on the temperature and component concentration of the molten metal and the component concentration of the slag estimated by the furnace state estimation method according to any one of claims 8 to 10 , the flow rate and speed of top-blowing oxygen, and the height of the top-blowing lance are determined. Then, the refining operation is carried out by determining at least one of the following: the flow rate of bottom blowing gas, the amount and timing of inputting auxiliary materials such as lime and iron ore, the timing of sampling the molten metal, and the timing of ending blowing. A method for producing molten steel.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2021193655 | 2021-11-29 | ||
JP2021193655 | 2021-11-29 | ||
PCT/JP2022/042138 WO2023095647A1 (en) | 2021-11-29 | 2022-11-11 | Intra-furnace state inference device, intra-furnace state inference method, and molten steel manufacturing method |
Publications (3)
Publication Number | Publication Date |
---|---|
JPWO2023095647A1 JPWO2023095647A1 (en) | 2023-06-01 |
JPWO2023095647A5 true JPWO2023095647A5 (en) | 2023-10-27 |
JP7392897B2 JP7392897B2 (en) | 2023-12-06 |
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ID=86539542
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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JP2023505466A Active JP7392897B2 (en) | 2021-11-29 | 2022-11-11 | Furnace state estimation device, furnace state estimation method, and molten steel manufacturing method |
Country Status (3)
Country | Link |
---|---|
JP (1) | JP7392897B2 (en) |
CN (1) | CN118103530A (en) |
WO (1) | WO2023095647A1 (en) |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2014201770A (en) * | 2013-04-02 | 2014-10-27 | 株式会社神戸製鋼所 | Estimation apparatus and estimation method of prediction model of converter |
JP6376200B2 (en) | 2015-11-02 | 2018-08-22 | Jfeスチール株式会社 | Molten state estimation device, molten state estimation method, and molten metal manufacturing method |
WO2019181562A1 (en) * | 2018-03-19 | 2019-09-26 | Jfeスチール株式会社 | Molten metal component estimation device, molten metal component estimation method, and molten metal production method |
-
2022
- 2022-11-11 WO PCT/JP2022/042138 patent/WO2023095647A1/en active Application Filing
- 2022-11-11 JP JP2023505466A patent/JP7392897B2/en active Active
- 2022-11-11 CN CN202280069651.9A patent/CN118103530A/en active Pending
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