JP2008007828A - Method and apparatus for controlling dephosphorization - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method and an apparatus for controlling the dephosphorization with which to the whole of molten iron states and operational conditions, the charging quantities of auxiliary raw materials are predicted in the most suitable. <P>SOLUTION: A blowing condition in a process newly operated, is defined as a new blowing vector, and a blowing condition actual result in each heat operation in the past, is defined as the respective plurality of actual result blowing vectors, and the actual result blowing vectors which are similar to the new blowing vector in these actual result blowing vectors, and contain the phosphorus concentration at the end point into the standard range, are selected, and further, the actual result blowing vector containing the phosphorus concentration at the end point, is selected from the selected prescribed number of the actual result blowing vectors. An approximate model, with which the charging quantity of the auxiliary raw material for dephosphorization in the process newly operated, is prepared from each blowing condition and the actual result charged quantity of the auxiliary raw material for dephosphorization in this selected actual result blowing vector and then, the charging quantity of the auxiliary raw material for dephosphorization in the process newly operated is estimated by using the prepared approximated model. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention determines the amount of auxiliary raw material input necessary for appropriately controlling the end phosphorus (phosphorus, P) concentration of molten steel in blow smelting, and sets the appropriate target end point temperature and target end point component. The present invention relates to a control method and apparatus.

  In the blowing process in the steel industry, pig iron supplied from a blast furnace and scrap prepared separately are the main raw materials, and after adding auxiliary raw materials such as lime to this, oxygen is blown into the sulfur contained inside Impurities such as S, silicon Si, and phosphorus P are removed by oxidation. The steel after the blown smelting is then refined / steeled and supplied to the rolling process.

  One process from supplying main raw materials and auxiliary raw materials to blowing equipment, spraying oxygen, and outputting steel with desired composition and temperature at the end of blowing (end point) This is called “charge”.

  The composition and temperature of pig iron and scrap supplied to the blow smelting equipment vary from charge to charge. Therefore, in order to produce the desired steel over the entire charge, it is necessary to implement optimum blowing control for each charge. There is.

  Pig iron contains various components, and phosphorus (phosphorus, P), which is the subject of the present invention, may be removed alone or may be removed together with other components.

  In blowing operation, it is an important issue to properly control the phosphorus concentration (end point P concentration) at the end of blowing. However, there are various factors for determining the input amount of the de-P auxiliary material, and it is difficult to grasp all the factors, so that there is a problem that the input amount of the auxiliary material is not optimized.

For this problem, for example, there is a technique disclosed in Patent Document 1 or 2 so far. Patent Document 1 or 2 sets a calculation formula for the amount of auxiliary material input, with the factors that can be grasped as explanatory variables and the factors that cannot be grasped as learning parameters.
JP 11-1117013 A JP 2000-309817 A

  However, since the de-P reaction changes in a complex manner depending on the hot metal state and operating conditions, even if the learning parameters proposed in Patent Document 1 or 2 described above are used, the auxiliary raw material is charged for all hot metal states and operating conditions. There is a problem that it is actually difficult to create a prediction formula that optimizes the quantity.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a dephosphorization control method and apparatus for optimally predicting the amount of auxiliary raw material input for all hot metal states and operating conditions.

  The invention according to claim 1 of the present invention is intended to keep the phosphorus concentration at the end of the blowing of each charge in the state in which pig iron and various auxiliary materials are charged into the converter or the pan in the target range. In the dephosphorization control method, the blowing conditions in the newly implemented charge are defined as new blowing vectors, and the blowing condition results in each charge performed in the past are defined as a plurality of actual blowing vectors, A performance blowing vector that is similar to the new blowing vector and has an end point phosphorus concentration within the reference range is selected from the performance blowing vectors, and each blowing condition of the selected performance blowing vector and Create an approximate model that estimates the amount of dephosphorization auxiliary material input for the newly implemented charge from the actual amount of dephosphorization auxiliary material input, and use this approximate model to create the dephosphorization auxiliary material for the newly implemented charge. Estimates the Iriryou, based on the estimated dephosphorization auxiliary raw material input, is a dephosphorization control method characterized by determining the dosage of dephosphorization adjuncts charge of implementing the new.

  In the invention according to claim 2 of the present invention, the phosphorus concentration at the end of the blowing of each charge in which the iron and various auxiliary materials are blown into the converter or the pot is kept within the target range. In the dephosphorization control method for the above, the blowing conditions in the newly implemented charge are defined as new blowing vectors, and the blowing condition results in each charge carried out in the past are defined as a plurality of actual blowing vectors, The actual blown vector that is similar to the new blown vector and whose end point phosphorus concentration is within the reference range is selected from the actual blown vectors, and the number of the selected actual blown vectors is When the ratio with respect to the predetermined number is equal to or less than the specified value, the predetermined number 2 similar to the new blowing vector in which the end point phosphorus concentration is within the reference range from the past blowing vectors of the charge carried out in the past. Select a vector, create an approximate model that estimates the end point temperature and end point component from each blowing condition and actual dephosphorization auxiliary material input amount of the selected vector, and execute the new using the created approximate model A dephosphorization control method characterized by calculating a target end point temperature of charge and a target end point component.

  Further, the invention according to claim 3 of the present invention is the dephosphorization control method according to claim 2, wherein the blowing condition in the charge to be newly carried out is newly based on the calculated target end point temperature and target end point component. Defining the blowing conditions in each charge carried out in the past as a plurality of actual blowing vectors, similar to the new blowing vector from among the actual blowing vectors, and The actual blown vector whose end point phosphorus concentration is within the reference range is selected, and the dephosphorization of the charge to be newly performed is determined from the blowing conditions and the actual dephosphorization auxiliary material input amount of the selected actual blown vector. An approximate model for estimating the amount of auxiliary raw material input is created, and the dephosphorized auxiliary material input amount of the newly implemented charge is estimated using the generated approximate model, and based on the estimated amount of dephosphorized auxiliary material input A dephosphorization control method characterized by determining the dosage of dephosphorization adjuncts charge of implementing the new.

  The invention according to claim 4 of the present invention is the dephosphorization control method according to any one of claims 1 to 3, wherein the blowing conditions include at least the amount of pig iron, the temperature, and the results of components, The dephosphorization control method further comprises a plurality of items including a blown oxygen amount, an auxiliary material input amount, an end point target temperature, and an end point target component.

  Furthermore, in the invention according to claim 5 of the present invention, the phosphorus concentration at the end of the blowing of each charge in which blowing is performed with pig iron and various auxiliary materials being put into the converter or the pot falls within the target range. In the dephosphorization control apparatus for the above, a new condition input unit for inputting new blowing condition data in a newly implemented charge, and a blowing performance database for storing past blowing condition actual data for each charge carried out in the past An estimation calculation unit for estimating the dephosphorization auxiliary material input amount of the charge to be newly implemented, and a display for outputting the dephosphorization auxiliary material input amount estimated by the estimation calculation unit, the estimation calculation unit Defines the new blowing condition data input in the new condition input unit as a new blowing vector, and inputs the blowing condition result data for each charge executed in the past stored in the blowing result database. , Each defined as an actual blown vector, and an actual blown vector similar to the new blown vector and having an end point phosphorus concentration within the reference range is selected from the actual blown vectors. The dephosphorization control apparatus is characterized in that the dephosphorization auxiliary material input amount of the newly implemented charge is estimated from each blowing condition and the actual dephosphorization auxiliary material input amount of the achieved actual blowing vector.

  In the present invention, in the dephosphorization blowing, similar charge data is selected from the hot metal information and the operating condition information, and the one in which the end point phosphorus concentration is within the set range is selected, and the dephosphorization auxiliary raw material is charged. Since the amount is calculated, an appropriate input amount can be obtained with high accuracy. Further, in the case of hot metal in which it is difficult to keep the end point dephosphorization concentration within the set range, there is also an effect that it is possible to realize an accurate control by presenting an appropriate target end point temperature and target end point component.

  The best mode for carrying out the present invention will be described below with reference to the drawings and mathematical expressions. FIG. 1 is a diagram showing a configuration example of an apparatus according to the present invention.

  In FIG. 1, 1 is an operation unit, 2 is a new condition input unit, 3 is a new condition vector definition unit, 4 is a normalized vector creation unit, 5 is a norm calculation unit, 6 is a similar vector selection unit, and 7 is a vector classification unit. , 8 is a de-P auxiliary material model creation unit, 9 is a de-P auxiliary material calculation unit, 10 is a de-P auxiliary material model reliability condition determination unit, 11 is a display, 12 is a blowing performance database, and 13 is a performance condition vector. A definition unit, 14 a vector selection unit, 15 an end point temperature approximate model creation unit, 16 an end point C approximate model creation unit, and 17 a target end point temperature / C calculation unit.

  In the apparatus configuration example shown in FIG. 1, first, an operation unit 1 for an operator such as a keyboard to input various information, a blowing performance database 12 for storing past data of each charge performed in the past, and a calculated removal. A display 11 for outputting a phosphorus auxiliary material input amount, a target end point temperature, and a target end point component is incorporated.

FIG. 2 is a diagram showing an example of data stored in the blowing performance database. In the blowing performance database 12, for example, a blowing condition result 18 and a dephosphorization auxiliary raw material (lime) input amount (result) 19 are stored for each charge number that identifies each charge that has been performed in the past. . Then, the blowing condition results, the actual value of a plurality of items _{1~n x 1, x 2, x} 3, x 4, x 5, x 6, ..., x n are stored.

For example, item 1 (value x ₁ ) is the amount of molten iron (actual) input to the blowing facility, item 2 (value x ₂ ) is the temperature of molten iron (actual) input to the blowing facility, item 3 (Value x ₃ ) is the carbon (C) content (actual) of hot metal to be introduced into the blowing facility, and item 4 (value x ₄ ) is the phosphorous (P) content (actual) of the hot metal. 5 (value x ₅ ) is the theoretical amount of dephosphorization auxiliary raw material (lime) input to the blowing facility, and item 6 (value x ₆ ) is the molten steel that is produced from the blowing facility at the end of the blowing operation (end point). Item 7 (value x ₇ ) is the carbon (C) content (actual) of the molten steel produced from the blowing equipment at the end of blowing (end point), item 8 (Value x ₈ ) is the phosphorus (P) content (actual result) of the molten steel produced from the blowing facility at the end of blowing (end point). The x _5, such as shown in Patent Document 1, the theoretical value of the dephosphorization auxiliary raw material input amount calculated from the mass balance, equation heat balance.

  Although not shown in FIG. 2, the amount of oxygen blown in blowing, the actual amount of coolant or temperature rising material introduced into the blowing facility for temperature adjustment during or in the middle of blowing It is more preferable to include data on the content of silicon Si, oxygen, etc. (in the molten iron and the molten steel at the end point) as yet another composition.

  The apparatus shown in FIG. 1 includes an estimation calculation unit 20 surrounded by a broken line portion in the above-described operation unit 1, blowing performance database 12, and display 11. Further, the estimation calculation unit 20 includes a new condition input unit 2, a new condition vector definition unit 3, a normalized vector creation unit 4, a norm calculation unit 5, a similar vector selection unit 6, a vector classification unit 7, and a de-P sub-raw material model creation. Unit 8, de-P auxiliary material calculation unit 9, de-P auxiliary material model reliability determination unit 10, performance condition vector definition unit 13, vector selection unit 14, end point temperature approximation model creation unit 15, end point C approximation model creation unit 16, And an end point temperature / C calculation unit 17.

  Note that the estimation calculation unit may be composed of a plurality of devices or a single device. Moreover, it is comprised by CPU, MPU, RAM, ROM, etc. of a computer, and it implement | achieves by operating the program recorded on RAM or ROM.

  FIG. 3 is a flowchart showing a processing procedure in the present invention. Hereinafter, detailed description will be given using this flowchart and FIG.

First, the operator performs actual values x ₁ , x ₂ , x ₃ , x ₄ , x ₅ , x in the items ₁ to n in the charge to be newly performed through the operation unit 1 of FIG. ₆ , x ₇ , x ₈ ,…, x _n are the new blowing conditions [x ^′ ₁ , x ^′ ₂ , x ^′ ₃ , x ^′ ₄ , x ^′ ₅ , x ^′ ₆ , x ^′ ₇ , x ^′ ₈ , .., X ^′ _n ], the new condition input unit 2 is activated, and the input new blowing condition is sent to the new condition vector definition unit 3 (step S1). Then, the new condition vector definition unit 3 defines the new blowing condition vector Va as the following new expression (1) (S2).

Va = (x ^′ ₁ , x ^′ ₂ , x ^′ ₃ , x ^′ ₄ , x ^′ ₅ , x ^′ ₆ , x ^′ ₇ , x ^′ ₈ ,..., X ^′ _n ) (1)
However, since the charge to be newly implemented is before blowing, there is no information at the end point, so the target value or the like is input to the end point actual temperature x ₆ , end point C concentration x ₇ and end point P concentration x ₈ . Further, the actual value of each item of 1~n described above in the charge of implementing the new _{x 1, x 2, x 3} , x 4, x 5, x 6, x 7, x 8, ..., x n is In addition to being given through the operation unit 1 by the operator, it may be given from a host computer.

Then, the result condition vector definition unit 13 is activated, and the blowing condition results [x ₁ , x ₂ , x ₃ , x ₄ , x ₅ for each charge of the results stored in the blowing performance database 12 of FIG. , X ₆ , x ₇ , x ₈ ,..., X _n ] are defined as actual blown vectors Vb as shown in equation (2).
_{Vb = (x 1, x 2} , x 3, x 4, x 5, x 6, x 7, x 8, ..., x n) ····· (2)

Following this, the normalized vector creation unit 4 is activated and all the actual values x _i (i = 1, 2,..., N) of the items 1 to n stored in the blowing performance database 12 are all stored. Averaging is performed over the charge, and an average value u _i and a standard deviation σ _i are calculated (S3). Next, the value x _i (i = 1, 2,..., N) of each item in the actual blowing conditions in each charge is normalized. The value x _ib of each item of the normalized vector is calculated by the following equation (3) (S4).
x _ib = (x _i −u _i ) / σ _i (3)

Next, the actual blown normalized vector Vbo shown in the equation (4) is defined by replacing each item value x _i of the actual blown vector Vb of each charge with the normalized value x _ib (S5).
Vbo = (x _1b , x _2b , x _3b , x _4b , x _5b , x _6b , x _7b , x _8b ,..., X _nb ) (4)

Furthermore, each item value x ^′ _i of the new blowing vector Va is normalized according to the following formula (5) using the average value and the standard deviation calculated from each value of the above-described blowing performance database 12.
x _ia = (x ^′ _i −u _i ) / σ _i (5)

Then, replacing with each normalized value, a new blowing normalization vector Vao is defined as shown in equation (6) (S6).
Vao = (x _1a , x _2a , x _3a , x _4a , x _5a , x _6a , x _7a , x _8a ,..., X _na ) (6)

Further, the norm calculation unit 5 is activated, and each deviation vector ΔVab between the new blowing normalization vector Vao and each actual blowing normalization vector Vbo is set as shown in equation (7) (S7). .
ΔVab = Vao−Vbo (7)
A norm | ΔVab | is calculated as a quantitative evaluation standard for the similarity between the vectors Vao and Vbo (S8). The norm calculation method is shown in the following equation (8).
| ΔVab | = [w ₁ (x _1a −x _1b ) ² + w ₂ (x _2a −x _2b ) ² +... + W _n (x _na −x _nb ) ² ] ^1/2 (8)

_{Here, w 1, w 2, ...} , w n is a weighting factor for each item of blowing conditions. In step S8, for example, the coefficient w ₅ 0 dephosphorization auxiliary raw material input theoretical value x _5, calculates the norm, such as by setting the other coefficients w _i 1. In addition, although the example of norm is shown here as a quantitative evaluation standard of similarity, it is not restricted to this, You may make it use another evaluation standard.

  In this way, when the norm | ΔVab | calculation process between all the actual charges stored in the blowing performance database 12 and the new charge is completed, the similar vector selection unit 6 is activated and each calculated norm | ΔVab | K (predetermined number) norms | ΔVab | are selected from the smaller one (S9).

  Thereafter, the vector classifying unit 7 is activated, and the actual blowing condition vectors corresponding to the selected k norms | ΔVab | are classified into a vector whose end point P concentration is equal to or less than the target value α and a vector that is not. (S10).

After that, the dephosphorization auxiliary material model creation unit 8 creates an approximate model of the dephosphorization auxiliary material input amount error using the actual blowing condition vector in which the end point P concentration is equal to or less than the target value α (S11 to S11). S12). Specifically, the difference between the actual value of dephosphorization auxiliary material input 19 of the selected actual charge and the theoretical value of dephosphorization auxiliary material input (item x ₅ ) is calculated for each charge, and this difference (error) is estimated. Create an approximate expression to The explanatory variable is each item of the vector (however, excluding the theoretical value x _{5 of the} dephosphorization auxiliary raw material input amount), and the shape of the approximate expression for estimating the difference (error) Err is, for example, the linear approximate expression (9) shown below And

Err = c ₀ + c ₁ x ₁ + c ₂ x ₂ + c ₃ x ₃ + c ₄ x ₄ + c ₆ x ₆ + c ₇ x ₇ + c ₈ x ₈ +… + c _n x _n (9)
Here, c ₀ , c ₁ , c ₂ , c ₃ , c ₄ , c ₆ , c ₇ , c ₈ ,..., C _n are coefficients, so that the estimation accuracy becomes high in the selected actual charge data. Adjusted to

By substituting each item of the new blowing condition vector into the created approximate equation, the error value of the dephosphorization auxiliary raw material input amount is estimated, and the theoretical value (x ₅ ) of the dephosphorization auxiliary raw material is added to that value. The amount of phosphorus auxiliary material input is calculated (S13). This calculation is performed by the de-P auxiliary material calculation unit 9.

Subsequently, the dephosphorization auxiliary material model reliability determination unit 10 checks the reliability of the estimated dephosphorization auxiliary material input amount (S14). Specifically, if the set of vectors whose end point P concentration is less than or equal to the target value α is S and the set of other vectors is F, check whether the condition shown in the following equation (10) is satisfied To do.
(Condition) [Number of vectors belonging to the set S] / k> [specified value β] (10)

  When the above condition is not satisfied, it is considered that there is little data in which the end point P concentration is suppressed to the target value α or less, and the reliability of the estimated value is low. Therefore, in this case, in order to keep the end point P concentration below the target value α, it is necessary to change other control amounts (the amount of oxygen blowing, the amount of coolant and the temperature rising material, the amount of other auxiliary materials input). is there. Since these values are derived from the target end point temperature and the target end point component by theoretical calculation or the like, it is urged to change the target value as follows.

First, the vector selection unit 14 selects a charge whose end point P concentration is equal to or less than the target value α from all the actual charges, and calculates a norm defined below for each selected charge.
| ΔVab | ′ = [w ^′ ₁ (x _1a −x _1b ) ² + w ^′ ₂ (x _2a −x _2b ) ² + ... + w ^′ _n (x _na −x _nb ) ² ] ^1/2. 11)
Here, the weighting factor w ^′ _i may be set to 0 for the end point actual temperature and the concentration of each component at the end point, and to 1 for the other factors.

  Then, k ′ (predetermined number) of charges corresponding to the smaller norm | ΔVab | ′ are selected, and item data is read (S15).

Next, the end point temperature approximate model creating unit 15 and the end point C approximate model creating unit 16 are activated to create an approximate model for the data read in step S15 (S16). Specifically, for example, the following linear approximation formulas (12) and (13) are created for the end point temperature Tf and the end point C concentration Dcf.
Tf = c _t0 + c _t1 x ₁ + c _t2 x ₂ + c _t3 x ₃ + c _t4 x ₄ + c _t5 x ₅ + c _t8 x ₈ + ... + c _tn x _n (12)
Dcf = c _D0 + c _D1 x ₁ + c _D2 x ₂ + c _D3 x ₃ + c _D4 x ₄ + c _D5 x ₅ + c _D8 x ₈ + ... + c _Dn x _n (13)
However, c _t0 , c _t1 , c _t2 , c _t3 , c _t4 , c _t5 , c _t8 ,..., C _tn and c _D0 , c _D1 , c _D2 , c _D3 , c _D4 , c _D5 , c _D8,. , C _Dn is a coefficient, and the explanatory variables are items of the actual blowing vector excluding the end point temperature (actual, item x ₆ ) and the end point C concentration (actual, item x ₇ ).

  Subsequently, the target end point temperature / C calculation unit 17 is activated, and the new charge data is substituted into the linear approximation formulas (12) and (13), and the target end point temperature and the target end point C concentration are calculated (S17). ).

  Finally, the calculation results (dephosphorization auxiliary raw material input amount, target end point temperature, target end point C concentration) are output to the display 11 to complete the process (S18). When the target end point temperature and the target end point C concentration are calculated, they can be manually or automatically input to the new condition input unit 2 to recalculate the dephosphorization auxiliary material input amount.

  The effect of the present invention was verified on about 2000 actual blowing condition data. In step S17 in FIG. 3, the target end point temperature and the target end point C concentration are recalculated, and it is verified how much accuracy is improved when a regression equation is created using this new target value.

  Table 1 below compares the errors of the de-P auxiliary material input amount regression equation model before the target end point temperature, the target end point C concentration change, and after the target end point temperature (after S17) and the target end point C concentration change. It is.

  By changing the target value, the input error average value can be changed from 100 to 38, and it has been found that the error of the regression model is greatly reduced by the present invention.

  Depending on the hot metal state of the charge, it may be difficult to achieve the target end point temperature and the target end point C concentration. However, in the present invention, the target value is relaxed with reference to the value calculated in step S17. Precision control can be realized.

It is a figure which shows the structural example of the apparatus which concerns on this invention. It is a figure which shows the example of data memorize | stored in the blowing performance database. It is a flowchart which shows the process sequence in this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Operation part 2 New condition input part 3 New condition vector definition part 4 Normalization vector creation part 5 Norm calculation part 6 Similar vector selection part 7 Vector classification part 8 De-P auxiliary material model preparation part 9 De-P auxiliary material calculation part 10 Deletion P sub-raw material model reliability condition determination unit 11 Display 12 Blowing performance database 13 Performance condition vector definition unit 14 Vector selection unit 15 End point temperature approximate model creation unit 16 End point C approximate model creation unit 17 Target end point temperature / C calculation unit 18 Blowing condition results 19 Auxiliary raw material input amount results 20 Estimated calculation section

Claims (5)

In the dephosphorization control method for keeping the phosphorous concentration within the target range at the end of the blowing of each charge in which the pig iron and various auxiliary materials are blown into the converter or the pan,
Define the blowing condition for the newly implemented charge as a new blowing vector,
Blowing condition results for each charge carried out in the past are defined as multiple performance blowing vectors,
From the actual blown vectors, select a pasted blow vector that is similar to the new blown vector and whose end point phosphorus concentration is within the reference range,
Create an approximate model for estimating the dephosphorization auxiliary material input amount of the newly implemented charge from each blowing condition and actual dephosphorization auxiliary material input amount of the selected actual blowing vector,
Estimating the dephosphorization auxiliary material input amount of the newly implemented charge using this created approximate model,
A dephosphorization control method characterized in that, based on the estimated dephosphorization auxiliary material input amount, an input amount of the dephosphorization auxiliary raw material for the newly implemented charge is determined. In the dephosphorization control method for keeping the phosphorus concentration within the target range at the end of the blowing of each charge, in which the pig iron and various auxiliary materials are blown into the converter or the pan,
Define the blowing condition for the newly implemented charge as a new blowing vector,
Blowing condition results for each charge carried out in the past are defined as multiple performance blowing vectors,
From the actual blowing vectors, select an actual blowing vector that is similar to the new blowing vector and whose end point phosphorus concentration is within the reference range,
When the ratio of the selected number of actual blown vectors to the predetermined number is equal to or less than a specified value,
Selecting a predetermined number of two vectors similar to the new blown vector whose end point phosphorus concentration is within the reference range from the past blow vectors of charge carried out in the past,
Create an approximate model that estimates the end-point temperature and end-point component from each blowing condition and actual dephosphorization auxiliary raw material input amount of the selected vector,
A dephosphorization control method characterized by calculating a target end point temperature and a target end point component of the charge to be newly performed by using the created approximate model. In the dephosphorization control method of Claim 2,
Based on the calculated target end point temperature and target end point component, the blowing condition in the charge to be newly implemented is defined as a new blowing vector,
Blowing condition results for each charge carried out in the past are defined as multiple performance blowing vectors,
From the actual blowing vectors, select an actual blowing vector that is similar to the new blowing vector and whose end point phosphorus concentration is within the reference range,
Create an approximate model for estimating the dephosphorization auxiliary material input amount of the newly implemented charge from each blowing condition and actual dephosphorization auxiliary material input amount of the selected actual blowing vector,
Estimating the dephosphorization auxiliary material input amount of the newly implemented charge using this created approximate model,
A dephosphorization control method characterized in that, based on the estimated dephosphorization auxiliary material input amount, an input amount of the dephosphorization auxiliary raw material for the newly implemented charge is determined. In the dephosphorization control method according to any one of claims 1 to 3,
The blowing conditions are:
A dephosphorization control method comprising a plurality of items including at least the amount of pig iron, the temperature, and the results of the components, the amount of blown oxygen, the amount of auxiliary raw material input, the end point target temperature, and the end point target component. In the dephosphorization control device for keeping the phosphorous concentration within the target range at the end of the blowing of each charge in which the pig iron and various auxiliary materials are blown into the converter or the pan,
A new condition input unit for inputting new blowing condition data in the charge to be newly implemented,
Blowing performance database that memorizes the blowing condition performance data of each charge carried out in the past,
An estimation calculation unit for estimating the charge dephosphorization auxiliary material input amount to be newly implemented;
A display for outputting the dephosphorization auxiliary material input amount estimated by the estimation calculation unit,
The estimation calculation unit defines the new blowing condition data input by the new condition input unit as a new blowing vector,
Enter the blowing condition performance data in each charge carried out in the past stored in the blowing performance database, define each as a performance blowing vector,
From the actual blowing vectors, select an actual blowing vector that is similar to the new blowing vector and whose end point phosphorus concentration is within the reference range,
A dephosphorization control apparatus for estimating a dephosphorization auxiliary material input amount of the newly implemented charge from each blowing condition and actual dephosphorization auxiliary material input amount of the selected actual blowing vector.

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