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WO2025150235A1 - Blast furnace control method and control device - Google Patents

Blast furnace control method and control device

Info

Publication number
WO2025150235A1
WO2025150235A1 PCT/JP2024/036669 JP2024036669W WO2025150235A1 WO 2025150235 A1 WO2025150235 A1 WO 2025150235A1 JP 2024036669 W JP2024036669 W JP 2024036669W WO 2025150235 A1 WO2025150235 A1 WO 2025150235A1
Authority
WO
WIPO (PCT)
Prior art keywords
blast furnace
temperature distribution
heat transfer
molten iron
poor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/JP2024/036669
Other languages
French (fr)
Japanese (ja)
Inventor
亮太郎 松永
哲也 山本
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
JFE Steel Corp
Original Assignee
JFE Steel Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by JFE Steel Corp filed Critical JFE Steel Corp
Priority to JP2024574564A priority Critical patent/JP7722610B1/en
Publication of WO2025150235A1 publication Critical patent/WO2025150235A1/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21BMANUFACTURE OF IRON OR STEEL
    • C21B5/00Making pig-iron in the blast furnace
    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21BMANUFACTURE OF IRON OR STEEL
    • C21B7/00Blast furnaces
    • C21B7/10Cooling; Devices therefor
    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21BMANUFACTURE OF IRON OR STEEL
    • C21B7/00Blast furnaces
    • C21B7/24Test rods or other checking devices
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27FURNACES; KILNS; OVENS; RETORTS
    • F27DDETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00Arrangements of controlling devices
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27FURNACES; KILNS; OVENS; RETORTS
    • F27DDETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D21/00Arrangement of monitoring devices; Arrangement of safety devices

Definitions

  • the amount of heat supplied to the molten pig iron is determined by unknown quantities such as the combustibility of the coke and pulverized coal and the temperature of the furnace core coke, and also changes from moment to moment due to heat extraction by the furnace wall and the powder phase. For this reason, it is difficult to accurately detect the solidified layer with an estimation method based only on the thermal energy balance such as the method described in Patent Document 2.
  • the method described in Patent Document 3 uses the temperature measured at the bottom plate of the blast furnace as it is, but the temperature of the bottom of the blast furnace varies greatly not only depending on the inactive state inside the blast furnace but also on the strength or weakness of the cooling capacity and the outside air temperature of the blast furnace. For this reason, it is difficult to accurately diagnose the inactive state of the bottom of the blast furnace with the method described in Patent Document 3.
  • the temperature distribution estimation step may include a step of estimating the temperature distribution at the bottom of the blast furnace, taking into account heat transfer from the outside air around the blast furnace and heat transfer from the cooling water flowing through the piping of the blast furnace.
  • FIG. 1 is a block diagram showing the configuration of a blast furnace control device according to one embodiment of the present invention.
  • the blast furnace control device 1 according to one embodiment of the present invention is configured with an information processing device such as a computer.
  • the blast furnace control device 1 controls the operating state of the blast furnace 2 by executing a computer program with an arithmetic processing device such as a CPU in the information processing device.
  • an arithmetic processing device such as a CPU in the information processing device.
  • multiple thermocouples 2a are installed on the sidewall bricks and hearth bricks of the blast furnace 2, including around the tapping hole, and each thermocouple 2a inputs an electric signal indicating the temperature of the blast furnace 2 at the installation position to the blast furnace control device 1.
  • the blast furnace control device 1 having such a configuration executes the blast furnace control process described below to prevent the formation of a poor molten iron flow area at the bottom of the blast furnace 2. Below, the operation of the blast furnace control device 1 when executing the blast furnace control process will be described with reference to FIG. 2.
  • the blast furnace control device 1 constructs a numerical model of the blast furnace 2 for numerically calculating the temperature distribution of the blast furnace 2.
  • the numerical model of the blast furnace 2 is a numerical model of the size, shape, and material of the blast furnace 2, and can be generated from CAD data of the blast furnace 2 using publicly known technology.
  • the numerical model of the blast furnace 2 is a model of the region below the tuyere of the blast furnace 2, including the solidified layer of pig iron remaining at the hearth, the coke packed layer, the hearth residue such as molten pig iron slag present in the gaps in the coke packed layer, and the iron shell structure and refractories of the furnace body, as shown in Figures 3(a) to (c).
  • step S1 a mesh structure for numerical calculation is generated within the numerical model of the blast furnace 2.
  • the material of the blast furnace 2 is set to have temperature dependency in order to perform the heat transfer analysis described later with high accuracy. This completes the process of step S1, and the blast furnace control process proceeds to the process of step S2.
  • the blast furnace control device 1 sets the boundary conditions of heat transfer in the numerical model of the blast furnace 2 according to the specifications and current operating state of the blast furnace 2 based on information previously set by the operator.
  • the boundary conditions of heat transfer include the cooling capacity of the blast furnace 2 and the heat transfer from the molten metal and slag in the blast furnace 2.
  • Specific examples of the cooling capacity of the blast furnace 2 include heat transfer from the outside air on the surface of the steel shell of the blast furnace wall, heat transfer from the cooling water flowing in the cooling stave piping, and heat transfer from the cooling water flowing in the hearth refractory piping.
  • the blast furnace control device 1 estimates the temperature distribution in the region of the modeled blast furnace 2 by performing a heat transfer analysis to calculate the following mathematical formula (1) for each calculation region (rectangular region formed by generating a mesh structure) in the numerical model of the blast furnace 2.
  • C p is the specific heat (J/(kg ⁇ K)) of the calculation target region
  • is the density (kg/m 3 ) of the calculation target region
  • T is the temperature (K)
  • t is the time (s)
  • is the thermal conductivity (W/(m ⁇ K)) of the calculation target region
  • Q is the amount of heat transfer (J) for the calculation target region
  • ⁇ V is the unit volume (m 3 ) of the calculation target region.
  • step S4 the blast furnace control process proceeds to the process of step S5.
  • this technology was applied to a large blast furnace with four tap holes of about 5000 m3 .
  • a numerical model of the blast furnace was constructed based on the size, shape, and material of the target blast furnace.
  • the specific heat, thermal conductivity, and density of each material were input to create a numerical model of the blast furnace.
  • the boundary conditions of heat transfer were set.
  • piping through which cooling water flows is laid out on the hearth base.
  • the heat transfer coefficient of the hearth base was set to 30.6 W/ m2 ⁇ K and the cooling water temperature was set to 50°C.
  • the present invention provides a blast furnace control method and control device that can accurately determine the risk of a poor molten iron flow area forming at the bottom of the blast furnace and prevent the formation of a poor molten iron flow area.

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Materials Engineering (AREA)
  • Metallurgy (AREA)
  • Organic Chemistry (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacture Of Iron (AREA)

Abstract

A blast furnace control method according to the present invention includes: a temperature distribution estimation step for estimating the temperature distribution of a blast furnace bottom section by executing heat transfer analysis using a blast furnace numerical model; a determination step for determining the risk of generation of a molten iron flow failure region at the blast furnace bottom section on the basis of a difference value between the temperature distribution estimated in the temperature distribution estimation step and an actual measurement value of the temperature of the blast furnace bottom section; and a control step for controlling blast furnace operation conditions on the basis of the determination result in the determination step so that a molten iron flow failure region is not generated.

Description

高炉の制御方法及び制御装置Blast furnace control method and control device

 本発明は、高炉の制御方法及び制御装置に関する。 The present invention relates to a method and device for controlling a blast furnace.

 高炉を用いた製鉄法では、高炉下部の送風羽口から高温ガスを吹き込み、鉄鉱石やコークスといった原料を昇温及び反応させることにより、銑鉄が生成される。そして、生成された銑鉄は、スラグと共に溶融して液相として高炉の底部に蓄積し、定期的に出銑孔を介して炉外へ排出される。一般に、高炉の底部には溶銑や溶融スラグの他にコークス充填層が存在し、コークス充填層の空隙の間を溶融物が流動している状態にある。しかしながら、高炉の底部で発生するコークス充填層や微粉炭由来の粉、コークス粒径の低下、及び炉熱不足等の要因により、溶融物の通液性が悪い低透過層や凝固層の領域(以下、溶銑流れ不良領域と表記)が形成される場合がある。このような溶銑流れ不良領域が形成された場合、出銑滓量が低下するため、粗鋼生産量の減少や溶銑滓量の増加による高炉トラブルの原因となり、収益低下に繋がる。このため、溶銑流れ不良領域を速やかに検知し、溶融物の通液性を改善する操業アクションを早急に実施するための技術が必要である。 In the steelmaking process using a blast furnace, hot gas is blown in from the blast tuyeres at the bottom of the blast furnace to heat and react raw materials such as iron ore and coke, producing pig iron. The pig iron produced melts together with slag and accumulates as a liquid phase at the bottom of the blast furnace, and is periodically discharged outside the furnace through a tap hole. Generally, in addition to molten iron and molten slag, a coke-packed layer is present at the bottom of the blast furnace, and the molten material flows between the gaps in the coke-packed layer. However, due to factors such as the coke-packed layer and powder derived from pulverized coal generated at the bottom of the blast furnace, a decrease in coke particle size, and insufficient furnace heat, a low-permeability layer or solidified layer area with poor permeability of the molten material (hereinafter referred to as a molten iron flow poor area) may be formed. When such a molten iron flow poor area is formed, the amount of molten iron and slag tapped decreases, which causes blast furnace troubles due to a decrease in crude steel production and an increase in the amount of molten iron and slag, leading to reduced profits. For this reason, technology is needed to quickly detect areas of poor molten iron flow and quickly implement operational actions to improve the permeability of the molten metal.

 このような背景から、特許文献1には、高炉の底部に存在する耐火物とその内面に付着する内容物凝固層の厚みを、高炉の底部に設置した熱電対の測定結果を用いて伝熱解析によって推定する方法が記載されている。また、特許文献2には、高炉の下部の溶銑に供給される熱量と出銑される溶銑の熱量から凝固層の生成消失を推定する方法が提案されている。また、特許文献3には、高炉の底部の底盤中央と炉底側壁の各出銑孔近傍の下部に埋め込まれた熱電対の測定温度から、高炉の底部の不活性状態を診断する方法が提案されている。 In light of this background, Patent Document 1 describes a method for estimating the thickness of the refractory material present at the bottom of a blast furnace and the solidified layer of contents adhering to its inner surface through heat transfer analysis using the measurement results of a thermocouple installed at the bottom of the blast furnace. Patent Document 2 also proposes a method for estimating the formation and disappearance of a solidified layer from the amount of heat supplied to the molten iron at the bottom of the blast furnace and the amount of heat of the molten iron being tapped. Patent Document 3 also proposes a method for diagnosing the inactive state of the bottom of a blast furnace from the measured temperatures of thermocouples embedded in the center of the bottom plate of the blast furnace and in the lower part near each tapping hole in the hearth side wall.

特開平10-273708号公報Japanese Patent Application Publication No. 10-273708 特許第6947343号公報Patent No. 6947343 特開2005-272873号公報JP 2005-272873 A

 しかしながら、特許文献1に記載の方法によれば、耐火物の侵食度合や耐火物に付着した凝固層の厚みを推定することはできるが、コークス充填層の粉が原因で生成される低透過層を検知することはできない。また、検知できる凝固層も耐火物に付着したものに限定されるため、炉芯の不活性状態(溶融物の通気性や通液性が低下している状態)まで推定することはできない。一方、溶銑に供給される熱量は、コークスや微粉炭の燃焼性及び炉芯コークスの温度等の未知数によって決まり、また炉壁や粉相による抜熱によって時々刻々と変化する。このため、特許文献2に記載の方法のような熱エネルギー収支のみに基づいた推定方法では、凝固層を精度よく検知することは難しい。また、特許文献3に記載の方法は、高炉の底部の底盤で測定される温度をそのまま用いているが、高炉の底部の温度は、高炉内部の不活性状態だけでなく、冷却能力の強弱や高炉の外気温によって大きく変化する。このため、特許文献3に記載の方法によれば、高炉の底部の不活性状態を精度よく診断することは難しい。 However, according to the method described in Patent Document 1, although it is possible to estimate the degree of erosion of the refractory and the thickness of the solidified layer attached to the refractory, it is not possible to detect the low-permeability layer generated due to the powder of the coke packed bed. In addition, since the solidified layer that can be detected is limited to that attached to the refractory, it is not possible to estimate the inactive state of the furnace core (a state in which the air permeability and liquid permeability of the molten material are reduced). On the other hand, the amount of heat supplied to the molten pig iron is determined by unknown quantities such as the combustibility of the coke and pulverized coal and the temperature of the furnace core coke, and also changes from moment to moment due to heat extraction by the furnace wall and the powder phase. For this reason, it is difficult to accurately detect the solidified layer with an estimation method based only on the thermal energy balance such as the method described in Patent Document 2. In addition, the method described in Patent Document 3 uses the temperature measured at the bottom plate of the blast furnace as it is, but the temperature of the bottom of the blast furnace varies greatly not only depending on the inactive state inside the blast furnace but also on the strength or weakness of the cooling capacity and the outside air temperature of the blast furnace. For this reason, it is difficult to accurately diagnose the inactive state of the bottom of the blast furnace with the method described in Patent Document 3.

 本発明は、上記課題を解決すべくなされたものであり、その目的は、高炉の底部に溶銑流れ不良領域が生成されるリスクを精度よく判定して溶銑流れ不良領域が生成されることを抑制可能な高炉の制御方法及び制御装置を提供することにある。 The present invention has been made to solve the above problems, and its purpose is to provide a blast furnace control method and control device that can accurately determine the risk of a poor molten iron flow area forming at the bottom of the blast furnace and prevent the formation of a poor molten iron flow area.

 本発明に係る高炉の制御方法は、高炉の数値モデルを用いて伝熱解析を実行することにより高炉底部の温度分布を推定する温度分布推定ステップと、前記温度分布推定ステップにおいて推定された温度分布と前記高炉底部の温度の実測値との差分値に基づいて前記高炉底部における溶銑流れ不良領域の生成リスクを判定する判定ステップと、前記判定ステップにおける判定結果に基づいて前記溶銑流れ不良領域が生成されないように高炉の操業条件を制御する制御ステップと、を含む。 The blast furnace control method of the present invention includes a temperature distribution estimation step of estimating the temperature distribution at the bottom of the blast furnace by performing a heat transfer analysis using a numerical model of the blast furnace, a determination step of determining the risk of the generation of a poor molten iron flow area at the bottom of the blast furnace based on the difference between the temperature distribution estimated in the temperature distribution estimation step and the actual measured temperature value at the bottom of the blast furnace, and a control step of controlling the operating conditions of the blast furnace so that the poor molten iron flow area is not generated based on the determination result in the determination step.

 前記温度分布推定ステップは、高炉周囲の外気からの熱伝達及び高炉の配管内を流通する冷却水からの熱伝達を考慮して、前記高炉底部の温度分布を推定するステップを含むとよい。 The temperature distribution estimation step may include a step of estimating the temperature distribution at the bottom of the blast furnace, taking into account heat transfer from the outside air around the blast furnace and heat transfer from the cooling water flowing through the piping of the blast furnace.

 本発明に係る高炉の制御装置は、高炉の数値モデルを用いて伝熱解析を実行することにより高炉底部の温度分布を推定する温度分布推定手段と、前記温度分布推定手段によって推定された温度分布と前記高炉底部の温度の実測値との差分値に基づいて前記高炉底部における溶銑流れ不良領域の生成リスクを判定する判定手段と、前記判定手段の判定結果に基づいて前記溶銑流れ不良領域が生成されないように高炉の操業条件を制御する制御手段と、を備える。 The blast furnace control device of the present invention comprises: a temperature distribution estimation means for estimating the temperature distribution at the bottom of the blast furnace by performing a heat transfer analysis using a numerical model of the blast furnace; a determination means for determining the risk of the formation of a poor molten iron flow area at the bottom of the blast furnace based on the difference between the temperature distribution estimated by the temperature distribution estimation means and the actual measured temperature value at the bottom of the blast furnace; and a control means for controlling the operating conditions of the blast furnace so that the poor molten iron flow area is not formed based on the determination result of the determination means.

 本発明に係る高炉の制御方法及び制御装置によれば、高炉の底部に溶銑流れ不良領域が生成されるリスクを精度よく判定して溶銑流れ不良領域が生成されることを抑制できる。 The blast furnace control method and control device of the present invention can accurately determine the risk of a poor molten iron flow area occurring at the bottom of the blast furnace, and can prevent the poor molten iron flow area from occurring.

図1は、本発明の一実施形態である高炉制御装置の構成を示すブロック図である。FIG. 1 is a block diagram showing the configuration of a blast furnace control device according to an embodiment of the present invention. 図2は、本発明の一実施形態である高炉制御処理の流れを示すフローチャートである。FIG. 2 is a flowchart showing a flow of a blast furnace control process according to an embodiment of the present invention. 図3は、高炉の数値モデルの構成例を示す図である。FIG. 3 is a diagram showing an example of the configuration of a numerical model of a blast furnace. 図4は、伝熱不良指数を用いた溶銑流れ不良領域の推定方法を説明するための図である。FIG. 4 is a diagram for explaining a method for estimating a molten iron flow poor region using a heat transfer poor index. 図5は、実施例における熱伝達係数の変化を示す図である。FIG. 5 is a diagram showing the change in heat transfer coefficient in the examples. 図6は、実施例における伝達不良指数の算出結果を示す図である。FIG. 6 is a diagram showing the calculation results of the poor transmission index in the examples. 図7は、実施例における出銑量の推移を示す図である。FIG. 7 is a diagram showing the progress of the amount of pig iron produced in the examples.

 以下、図面を参照して、本発明の一実施形態である高炉制御装置について説明する。 Below, we will explain one embodiment of the blast furnace control device with reference to the drawings.

〔構成〕
 まず、図1を参照して、本発明の一実施形態である高炉制御装置の構成について説明する。
〔composition〕
First, with reference to FIG. 1, a configuration of a blast furnace control device according to an embodiment of the present invention will be described.

 図1は、本発明の一実施形態である高炉制御装置の構成を示すブロック図である。図1に示すように、本発明の一実施形態である高炉制御装置1は、コンピュータ等の情報処理装置によって構成されている。高炉制御装置1は、情報処理装置内のCPU等の演算処理装置がコンピュータプログラムを実行することにより、高炉2の操業状態を制御する。また、本実施形態では、出銑孔周りを含む高炉2の側壁れんがや炉底れんがに複数の熱電対2aが設置され、各熱電対2aは設置位置における高炉2の温度を示す電気信号を高炉制御装置1に入力する。 FIG. 1 is a block diagram showing the configuration of a blast furnace control device according to one embodiment of the present invention. As shown in FIG. 1, the blast furnace control device 1 according to one embodiment of the present invention is configured with an information processing device such as a computer. The blast furnace control device 1 controls the operating state of the blast furnace 2 by executing a computer program with an arithmetic processing device such as a CPU in the information processing device. In this embodiment, multiple thermocouples 2a are installed on the sidewall bricks and hearth bricks of the blast furnace 2, including around the tapping hole, and each thermocouple 2a inputs an electric signal indicating the temperature of the blast furnace 2 at the installation position to the blast furnace control device 1.

 このような構成を有する高炉制御装置1は、以下に示す高炉制御処理を実行することにより、高炉2の底部に溶銑流れ不良領域が生成されることを抑制する。以下、図2を参照して、高炉制御処理を実行する際の高炉制御装置1の動作について説明する。 The blast furnace control device 1 having such a configuration executes the blast furnace control process described below to prevent the formation of a poor molten iron flow area at the bottom of the blast furnace 2. Below, the operation of the blast furnace control device 1 when executing the blast furnace control process will be described with reference to FIG. 2.

〔高炉制御処理〕
 図2は、本発明の一実施形態である高炉制御処理の流れを示すフローチャートである。図2に示すフローチャートは、高炉2の操業が開始されたタイミングで開始となり、高炉制御処理はステップS1の処理に進む。
[Blast furnace control processing]
2 is a flowchart showing a flow of a blast furnace control process according to an embodiment of the present invention. The flowchart shown in FIG. 2 starts when the operation of the blast furnace 2 is started, and the blast furnace control process proceeds to step S1.

 ステップS1の処理では、高炉制御装置1が、高炉2の温度分布を数値計算するための高炉2の数値モデルを構築する。高炉2の数値モデルは、高炉2の大きさ、形状、及び材質を数値でモデル化したものであり、公知技術を用いて高炉2のCADデータ等から生成することができる。本実施形態では、高炉2の数値モデルは、図3(a)~(c)に示すように、炉底に残留した銑鉄の凝固層、コークス充填層、コークス充填層の空隙に存在する溶銑滓等の炉底残留物や、炉体の鉄皮構造及び耐火物を含む高炉2の羽口より下方の領域をモデル化したものである。また、高炉2の数値モデルには、数値計算のためのメッシュ構造が領域内に生成されている。また、高炉2の材質は、後述する伝熱解析を精度よく実施するために温度依存性を持たせて設定されている。これにより、ステップS1の処理は完了し、高炉制御処理はステップS2の処理に進む。 In the process of step S1, the blast furnace control device 1 constructs a numerical model of the blast furnace 2 for numerically calculating the temperature distribution of the blast furnace 2. The numerical model of the blast furnace 2 is a numerical model of the size, shape, and material of the blast furnace 2, and can be generated from CAD data of the blast furnace 2 using publicly known technology. In this embodiment, the numerical model of the blast furnace 2 is a model of the region below the tuyere of the blast furnace 2, including the solidified layer of pig iron remaining at the hearth, the coke packed layer, the hearth residue such as molten pig iron slag present in the gaps in the coke packed layer, and the iron shell structure and refractories of the furnace body, as shown in Figures 3(a) to (c). In addition, a mesh structure for numerical calculation is generated within the numerical model of the blast furnace 2. In addition, the material of the blast furnace 2 is set to have temperature dependency in order to perform the heat transfer analysis described later with high accuracy. This completes the process of step S1, and the blast furnace control process proceeds to the process of step S2.

 ステップS2の処理では、高炉制御装置1が、オペレータによって予め設定された情報等に基づいて、高炉2の仕様及び現在の操業状態に合わせて高炉2の数値モデル内における伝熱の境界条件を設定する。ここで、伝熱の境界条件には、高炉2の冷却能力と高炉2内の溶銑滓から受ける伝熱がある。高炉2の冷却能力の具体的例としては、高炉炉壁の鉄皮表面の外気からの熱伝達、クーリングステーブの配管内を流通する冷却水からの熱伝達、炉底耐火物の配管内を流通する冷却水からの熱伝達等が挙げられる。一方、高炉2内の溶銑滓から受ける伝熱の具体例としては、出銑による高炉2内の溶銑滓流れから受ける熱伝達や、羽口で昇温される溶銑滓の滴下による接触伝熱等が挙げられる。これにより、ステップS2の処理は完了し、高炉制御処理はステップS3の処理に進む。 In the process of step S2, the blast furnace control device 1 sets the boundary conditions of heat transfer in the numerical model of the blast furnace 2 according to the specifications and current operating state of the blast furnace 2 based on information previously set by the operator. Here, the boundary conditions of heat transfer include the cooling capacity of the blast furnace 2 and the heat transfer from the molten metal and slag in the blast furnace 2. Specific examples of the cooling capacity of the blast furnace 2 include heat transfer from the outside air on the surface of the steel shell of the blast furnace wall, heat transfer from the cooling water flowing in the cooling stave piping, and heat transfer from the cooling water flowing in the hearth refractory piping. On the other hand, specific examples of heat transfer from the molten metal and slag in the blast furnace 2 include heat transfer from the flow of molten metal and slag in the blast furnace 2 due to tapping, and contact heat transfer from the dripping of molten metal and slag heated in the tuyere. This completes the process of step S2, and the blast furnace control process proceeds to the process of step S3.

 ステップS3の処理では、高炉制御装置1が、高炉2の数値モデル内の各計算領域(メッシュ構造を生成することにより形成される矩形領域)について以下に示す数式(1)を計算する伝熱解析を実行することにより、モデル化した高炉2の領域内の温度分布を推定する。なお、数式(1)において、Cは計算対象領域の比熱(J/(kg・K))、ρは計算対象領域の密度(kg/m)、Tは温度(K)、tは時間(s)、λは計算対象領域の熱伝導率(W/(m・K))、Qは計算対象領域に対する熱伝達量(J)、ΔVは計算対象領域の単位体積(m)を示す。また、数式(1)を計算することによってモデル化した高炉2の領域内の温度分布を推定することができるが、操業中の高炉2は必ずしも平衡状態とは言えないため、非定常状態として数式(1)を計算することが好ましい。これにより、ステップS3の処理は完了し、高炉制御処理はステップS4の処理に進む。 In the process of step S3, the blast furnace control device 1 estimates the temperature distribution in the region of the modeled blast furnace 2 by performing a heat transfer analysis to calculate the following mathematical formula (1) for each calculation region (rectangular region formed by generating a mesh structure) in the numerical model of the blast furnace 2. In addition, in the mathematical formula (1), C p is the specific heat (J/(kg·K)) of the calculation target region, ρ is the density (kg/m 3 ) of the calculation target region, T is the temperature (K), t is the time (s), λ is the thermal conductivity (W/(m·K)) of the calculation target region, Q is the amount of heat transfer (J) for the calculation target region, and ΔV is the unit volume (m 3 ) of the calculation target region. In addition, although the temperature distribution in the region of the modeled blast furnace 2 can be estimated by calculating the mathematical formula (1), since the blast furnace 2 in operation is not necessarily in an equilibrium state, it is preferable to calculate the mathematical formula (1) as a non-steady state. As a result, the process of step S3 is completed, and the blast furnace control process proceeds to the process of step S4.

 ステップS4の処理では、高炉制御装置1が、ステップS3の処理において推定された高炉2の温度分布と各熱電対2aによって測定された高炉2の温度を用いて、以下の数式(2)に示す伝熱不良指数ΔT(℃)を熱電対2a毎に算出する。なお、数式(2)において、Tobsは熱電対2aの温度測定値、Tcalは熱電対2aの設置位置に近い位置における数値モデルによる温度推定値を示す。数値モデルによる温度推定値は、高炉底部のレンガ侵食が全く見られず、尚且つ低透過層や凝固層といった溶銑滓流れによる伝熱を阻害する層が全くない状態を仮定して得られる。このため、温度推定値は設定した伝熱の境界条件に対して一意であるが、熱電対2aの測定値はレンガ侵食や伝熱を阻害する層の生成消失により変化する。このため、伝熱不良指数ΔTの値から、高炉底部の溶銑流れ不良領域の生成リスクを判定することができる。具体的には、高炉底部の溶銑流れ不良領域の生成リスクが低い場合、熱電対2aの測定値は上昇するため、伝熱不良指数ΔTの値は大きくなる。一方、高炉底部の溶銑流れ不良領域の生成リスクが高い場合には、熱電対2aの測定値は低下するため、伝熱不良指数ΔTの値は小さくなる。従って、図4に示すように、伝熱不良指数ΔTの値から溶銑流れ不良領域が生成されている領域を推定することができる。これにより、ステップS4の処理は完了し、高炉制御処理はステップS5の処理に進む。 In the process of step S4, the blast furnace control device 1 calculates a heat transfer poor index ΔT (°C) shown in the following formula (2) for each thermocouple 2a using the temperature distribution of the blast furnace 2 estimated in the process of step S3 and the temperature of the blast furnace 2 measured by each thermocouple 2a. In the formula (2), T obs indicates the temperature measurement value of the thermocouple 2a, and T cal indicates the temperature estimated by the numerical model at a position close to the installation position of the thermocouple 2a. The temperature estimated by the numerical model is obtained assuming a state in which no brick erosion is observed at the bottom of the blast furnace and no layer that inhibits heat transfer by the molten iron and slag flow, such as a low permeability layer or a solidified layer, is present. For this reason, the temperature estimated value is unique for the set boundary conditions of heat transfer, but the measured value of the thermocouple 2a changes due to brick erosion and the formation and disappearance of a layer that inhibits heat transfer. For this reason, the risk of formation of a molten iron flow poor area at the bottom of the blast furnace can be determined from the value of the heat transfer poor index ΔT. Specifically, when the risk of generation of a poor molten iron flow region at the bottom of the blast furnace is low, the measurement value of the thermocouple 2a increases, and the value of the poor heat transfer index ΔT increases. On the other hand, when the risk of generation of a poor molten iron flow region at the bottom of the blast furnace is high, the measurement value of the thermocouple 2a decreases, and the value of the poor heat transfer index ΔT decreases. Therefore, as shown in Fig. 4, the region where the poor molten iron flow region is generated can be estimated from the value of the poor heat transfer index ΔT. This completes the process of step S4, and the blast furnace control process proceeds to the process of step S5.

 ステップS5の処理では、高炉制御装置1が、ステップS4の処理において算出された伝熱不良指数ΔTに基づいて各熱電対2aの設置位置における溶銑流れ不良領域の生成リスクを判定する。具体的には、高炉制御装置1は、伝熱不良指数ΔTの値が高炉2の操業状況に応じて設定される所定の閾値(例えば10℃)以下である場合、熱電対2aの設置位置に溶銑流れ不良領域が生成されている可能性が高いと判定する。なお、閾値は、熱電対2aの測定値から求められた全ての伝熱不良指数ΔTに対して設定してもよいし、出銑孔周りに設定された熱電対2aの測定値の平均値から求められた伝熱不良指数ΔTに対して設定してもよい。そして、溶銑流れ不良領域の生成リスクが高い領域がある場合には、高炉制御装置1は、溶銑流れ不良領域が生成されないようにコークス比等の高炉2の操業条件を制御する。これにより、ステップS5の処理は完了し、一連の高炉制御処理は終了する。 In the process of step S5, the blast furnace control device 1 judges the risk of the generation of a molten iron flow poor area at the installation position of each thermocouple 2a based on the heat transfer poor index ΔT calculated in the process of step S4. Specifically, when the value of the heat transfer poor index ΔT is equal to or less than a predetermined threshold value (e.g., 10°C) set according to the operating status of the blast furnace 2, the blast furnace control device 1 judges that there is a high possibility that a molten iron flow poor area has been generated at the installation position of the thermocouple 2a. The threshold value may be set for all heat transfer poor indexes ΔT obtained from the measured values of the thermocouples 2a, or may be set for the heat transfer poor index ΔT obtained from the average value of the measured values of the thermocouples 2a set around the tap hole. Then, when there is an area with a high risk of the generation of a molten iron flow poor area, the blast furnace control device 1 controls the operating conditions of the blast furnace 2, such as the coke ratio, so that a molten iron flow poor area is not generated. This completes the process of step S5, and the series of blast furnace control processes ends.

 以上の説明から明らかなように、本発明の一実施形態である高炉制御処理では、まず、高炉制御装置1が、高炉2の数値モデルを用いて伝熱解析を実行することにより高炉底部の温度分布を推定する。そして、高炉制御装置1は、推定された温度分布と高炉底部の温度の実測値との差分値に基づいて高炉底部における溶銑流れ不良領域の生成リスクを判定し、判定結果に基づいて溶銑流れ不良領域が生成されないように高炉の操業条件を制御する。これにより、高炉の底部に溶銑流れ不良領域が生成されるリスクを精度よく判定して溶銑流れ不良領域が生成されることを抑制できる。 As is clear from the above explanation, in the blast furnace control process which is one embodiment of the present invention, first, the blast furnace control device 1 estimates the temperature distribution at the bottom of the blast furnace by performing a heat transfer analysis using a numerical model of the blast furnace 2. Then, the blast furnace control device 1 determines the risk of the generation of a poor molten iron flow area at the bottom of the blast furnace based on the difference between the estimated temperature distribution and the actual measured temperature value at the bottom of the blast furnace, and controls the operating conditions of the blast furnace so that a poor molten iron flow area is not generated based on the determination result. This makes it possible to accurately determine the risk of the generation of a poor molten iron flow area at the bottom of the blast furnace and suppress the generation of a poor molten iron flow area.

 本実施例では、約5000m級で4つの出銑孔を有する大型高炉に対して本技術を適用した。まず、対象とする高炉の大きさ、形状、及び材質から高炉の数値モデルを構築した。次に、材質毎に比熱、熱伝導率、密度を入力して高炉の数値モデルとした。次に、伝熱の境界条件を設定した。対象高炉では、炉底底盤に冷却水が流通する配管が張り巡らされている。これを模擬するために、炉底底盤の熱伝達係数を30.6W/m・K、冷却水温を50℃とした。一方、高炉内の溶銑滓から受ける伝熱に関しては、出銑により生じる炉底部の溶銑流れから受ける熱伝達を考慮し、羽口下の領域に1500℃の溶銑が流れると仮定し、出銑量の実績値及び炉床の断面積から熱伝達係数を計算して与えた。実際に与えた熱伝達係数を図5に示す。これにより、羽口で1500℃まで昇温される溶銑の出銑による溶銑滓流れに起因する熱伝達を再現することができる。次に、48日間分の伝熱解析を実施した。また、本実施例では、伝熱不良指数ΔTに閾値を設定し、伝熱不良指数ΔTが以下の数式(3)に示す条件を満たすように高炉を操業した。 In this embodiment, this technology was applied to a large blast furnace with four tap holes of about 5000 m3 . First, a numerical model of the blast furnace was constructed based on the size, shape, and material of the target blast furnace. Next, the specific heat, thermal conductivity, and density of each material were input to create a numerical model of the blast furnace. Next, the boundary conditions of heat transfer were set. In the target blast furnace, piping through which cooling water flows is laid out on the hearth base. In order to simulate this, the heat transfer coefficient of the hearth base was set to 30.6 W/ m2 ·K and the cooling water temperature was set to 50°C. On the other hand, regarding the heat transfer from the molten iron and slag in the blast furnace, the heat transfer from the molten iron flow at the hearth caused by tapping was taken into consideration, and it was assumed that molten iron at 1500°C flows in the area below the tuyere, and the heat transfer coefficient was calculated and given from the actual value of the amount of tapping and the cross-sectional area of the hearth. The heat transfer coefficient actually given is shown in FIG. 5. This makes it possible to reproduce the heat transfer caused by the flow of molten iron and slag due to the tapping of molten iron whose temperature is raised to 1500°C at the tuyere. Next, a heat transfer analysis for 48 days was performed. In this embodiment, a threshold value was set for the heat transfer poor index ΔT, and the blast furnace was operated so that the heat transfer poor index ΔT satisfied the condition shown in the following formula (3).

 計算終了後、4つ設置されている出銑孔の位置に近い熱電対に着目し、その温度実測値と各熱電対に最も近い出力点における温度計算値を用いて伝熱不良指数ΔTを算出した。算出結果を図6に示す。図6に示すように、操業27日目から30日目にかけて全出銑孔における伝熱不良指数ΔTが急激に低下した。これは当期間に休風を実施していたことによる熱伝達の急激な低下が原因である。一方、操業40日目から48日目でも伝熱不良指数ΔTの低下が全体的に確認され、特に出銑孔1での低下が最も急勾配であった。実際に、操業48日目に出銑孔1で出銑不良が発生しており、高炉内部の出銑孔1付近では低透過層や凝固層といった溶銑流れ不良領域が生じていた可能性がある。これに基づき、数式(3)に示す条件を満足するために、48日目以降ではコークス比を上昇させ、高炉底部の伝熱不良を解消させた。その時の出銑量の推移を図7に示す。図7に示すように、コークス比の上昇で出銑量が再度上昇したため、炉芯不活性を回避できていることが確認された。以上より、伝熱不良指数ΔTに基づいてコークス比等の高炉2の操業条件を制御することにより、溶銑流れ不良領域の生成を抑制できることが確認された。 After the calculations were completed, the heat transfer poor index ΔT was calculated by focusing on the thermocouples installed near the four tap holes and using the measured temperature values and the calculated temperature values at the output points closest to each thermocouple. The calculation results are shown in Figure 6. As shown in Figure 6, the heat transfer poor index ΔT at all tap holes dropped sharply from the 27th to 30th day of operation. This was due to the sudden drop in heat transfer caused by the implementation of a blast stop during this period. On the other hand, a drop in the heat transfer poor index ΔT was confirmed overall from the 40th to 48th day of operation, and the drop at tap hole 1 was particularly steep. In fact, tapping poorly occurred at tap hole 1 on the 48th day of operation, and it is possible that areas of poor molten iron flow, such as low permeability layers and solidified layers, occurred near tap hole 1 inside the blast furnace. Based on this, in order to satisfy the conditions shown in formula (3), the coke rate was increased from the 48th day onwards to eliminate the poor heat transfer at the bottom of the blast furnace. The change in the amount of molten iron produced over that time is shown in Figure 7. As shown in Figure 7, the amount of molten iron produced increased again as the coke rate increased, confirming that the deadman deactivation was avoided. From the above, it was confirmed that the occurrence of poor molten iron flow areas can be suppressed by controlling the operating conditions of blast furnace 2, such as the coke rate, based on the poor heat transfer index ΔT.

 以上、本発明者らによってなされた発明を適用した実施の形態について説明したが、本実施形態による本発明の開示の一部をなす記述及び図面により本発明が限定されることはない。例えば、羽口毎の燃焼状態が大きく異なり、炉芯や溶銑の昇温状況が周方向で異なる高炉を対象とする場合には、羽口毎に推定される燃焼性を数値モデルに入力し、羽口毎の燃焼性の違いを伝熱解析の昇温条件に反映させてもよい。このように、本実施形態に基づいて当業者等によりなされる他の実施の形態、実施例、及び運用技術等は全て本発明の範疇に含まれる。 The above describes an embodiment in which the invention made by the present inventors is applied, but the present invention is not limited by the description and drawings that form part of the disclosure of the present invention according to this embodiment. For example, in a blast furnace in which the combustion state varies greatly for each tuyere and the temperature rise conditions of the core and molten iron vary in the circumferential direction, the combustibility estimated for each tuyere may be input into a numerical model, and the difference in combustibility for each tuyere may be reflected in the temperature rise conditions of the heat transfer analysis. In this way, all other embodiments, examples, and operational techniques made by those skilled in the art based on this embodiment are included in the scope of the present invention.

 本発明によれば、高炉の底部に溶銑流れ不良領域が生成されるリスクを精度よく判定して溶銑流れ不良領域が生成されることを抑制可能な高炉の制御方法及び制御装置を提供することができる。 The present invention provides a blast furnace control method and control device that can accurately determine the risk of a poor molten iron flow area forming at the bottom of the blast furnace and prevent the formation of a poor molten iron flow area.

 1 高炉制御装置
 2 高炉
 2a 熱電対
1 Blast furnace control device 2 Blast furnace 2a Thermocouple

Claims (3)

 高炉の数値モデルを用いて伝熱解析を実行することにより高炉底部の温度分布を推定する温度分布推定ステップと、
 前記温度分布推定ステップにおいて推定された温度分布と前記高炉底部の温度の実測値との差分値に基づいて前記高炉底部における溶銑流れ不良領域の生成リスクを判定する判定ステップと、
 前記判定ステップにおける判定結果に基づいて前記溶銑流れ不良領域が生成されないように高炉の操業条件を制御する制御ステップと、
 を含む、高炉の制御方法。
A temperature distribution estimation step of estimating a temperature distribution at a bottom of the blast furnace by performing a heat transfer analysis using a numerical model of the blast furnace;
a determination step of determining a risk of generation of a poor molten iron flow region at the bottom of the blast furnace based on a difference value between the temperature distribution estimated in the temperature distribution estimation step and an actual measured value of the temperature at the bottom of the blast furnace;
a control step of controlling operation conditions of the blast furnace based on a result of the judgment in the judgment step so that the poor molten iron flow region is not generated;
A method for controlling a blast furnace, comprising:
 前記温度分布推定ステップは、高炉周囲の外気からの熱伝達及び高炉の配管内を流通する冷却水からの熱伝達を考慮して、前記高炉底部の温度分布を推定するステップを含む、請求項1に記載の高炉の制御方法。 The blast furnace control method according to claim 1, wherein the temperature distribution estimation step includes a step of estimating the temperature distribution at the bottom of the blast furnace, taking into account heat transfer from the outside air around the blast furnace and heat transfer from the cooling water flowing through the piping of the blast furnace.  高炉の数値モデルを用いて伝熱解析を実行することにより高炉底部の温度分布を推定する温度分布推定手段と、
 前記温度分布推定手段によって推定された温度分布と前記高炉底部の温度の実測値との差分値に基づいて前記高炉底部における溶銑流れ不良領域の生成リスクを判定する判定手段と、
 前記判定手段の判定結果に基づいて前記溶銑流れ不良領域が生成されないように高炉の操業条件を制御する制御手段と、
 を備える、高炉の制御装置。
A temperature distribution estimation means for estimating a temperature distribution at a bottom of the blast furnace by performing a heat transfer analysis using a numerical model of the blast furnace;
a determination means for determining a risk of generation of a poor molten iron flow region in the bottom of the blast furnace based on a difference value between the temperature distribution estimated by the temperature distribution estimation means and an actual measured value of the temperature in the bottom of the blast furnace;
a control means for controlling the operating conditions of the blast furnace based on the judgment result of the judgment means so that the poor molten iron flow region is not generated;
A blast furnace control device comprising:
PCT/JP2024/036669 2024-01-09 2024-10-15 Blast furnace control method and control device Pending WO2025150235A1 (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10273708A (en) * 1997-03-28 1998-10-13 Nippon Steel Corp Estimation method of blast furnace bottom condition
JP2003013118A (en) * 2001-07-05 2003-01-15 Nippon Steel Corp Management method for the lower part of the blast furnace
JP2018024935A (en) * 2016-08-02 2018-02-15 Jfeスチール株式会社 Molten iron temperature prediction method, molten iron temperature prediction device, operation method of blast furnace, operation guidance device, molten iron temperature control method and molten iron temperature control device
WO2021220751A1 (en) * 2020-04-30 2021-11-04 Jfeスチール株式会社 Method for detecting fluctuation in coagulation layer and blast furnace operation method
JP2021179004A (en) * 2020-05-15 2021-11-18 Jfeスチール株式会社 Heating method of furnace bottom and method for restarting blast furnace

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10273708A (en) * 1997-03-28 1998-10-13 Nippon Steel Corp Estimation method of blast furnace bottom condition
JP2003013118A (en) * 2001-07-05 2003-01-15 Nippon Steel Corp Management method for the lower part of the blast furnace
JP2018024935A (en) * 2016-08-02 2018-02-15 Jfeスチール株式会社 Molten iron temperature prediction method, molten iron temperature prediction device, operation method of blast furnace, operation guidance device, molten iron temperature control method and molten iron temperature control device
WO2021220751A1 (en) * 2020-04-30 2021-11-04 Jfeスチール株式会社 Method for detecting fluctuation in coagulation layer and blast furnace operation method
JP2021179004A (en) * 2020-05-15 2021-11-18 Jfeスチール株式会社 Heating method of furnace bottom and method for restarting blast furnace

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