Steel plate temperature control device

Abstract

In the present invention, regarding first control indexes for steel-sheet winding temperature, four values, i.e., target, simple prediction, detailed prediction, and measured values, are calculated. Additionally, regarding second control indexes for steel-sheet winding temperature, three values, i.e., target, simple prediction, and measured values, are calculated. The target value and the detailed prediction value corresponding to the first control indexes are used for calculating a water spray amount (FF water spray amount) in FF banks. The target values corresponding to the first and second control indexes and the measured values corresponding to the first and second control indexes are used for calculating a water spray amount (FB water spray amount) in FB banks. The water spray amount in the FF banks is controlled on the basis of the positions of segments constituting the steel sheet, an initial water spray amount, and the FF water spray amount. The water spray amount in the FB banks is controlled on the basis of the positions of the segments constituting the steel sheet, an initial water spray amount, and the FB water spray amount.

Description

[Technical Field]

[0001] The present disclosure relates to an apparatus for controlling the temperature of a steel sheet that is cooled by cooling water from a group of cooling banks and then wound by a winder in a hot rolling line. [Background technology]

[0002] Important indices of steel plates produced in hot rolling include those related to the steel plate's properties, such as strength, ductility, and toughness. The properties of the steel plate are determined by the cooling process on the run-out table (hereinafter also referred to as "ROT") located downstream of the hot rolling line. The ROT controls the temperature of the steel plate during the cooling process. This control is sometimes called coiling temperature control, which refers to the temperature of the steel plate during the coiling process that follows the cooling process (i.e., the coiling temperature).

[0003] The cooling process on a ROT involves the effects of gravity and equipment variations (e.g., differences in the type and number of headers and nozzles, flow rate, and pressure) that can cause differences in the cooling effect on the top surface of the steel plate compared to the bottom surface. Furthermore, the thicker the steel plate, the slower the rate of heat transfer within the steel plate. Therefore, during the cooling process for thick steel plates, temperature differences tend to occur between the top and bottom surfaces. This can lead to a warp in the width direction of the steel plate known as C-warp. In particular, when the top surface temperature is lower than the bottom surface temperature, both ends of the width direction will warp upward. This causes cooling water to accumulate on the top surface of the steel plate, further lowering the top surface temperature. This can result in problems such as a deterioration in the quality of the steel plate's material and flatness. Furthermore, the cooling water accumulating on the top surface of the steel plate can interfere with accurate measurement of the steel plate's temperature, reducing the accuracy of temperature control using this measured temperature.

[0004] Patent Document 1 proposes a technology for changing the supply mode of cooling water from multiple cooling banks on a ROT depending on the location of these cooling banks. Specifically, Patent Document 1 divides the ROT into an upstream zone and a downstream zone, and controls the cooling banks located in the upstream zone, of which the cooling bank facing the bottom surface of the steel plate, to a water-cooled state, while the cooling bank facing the top surface of the steel plate to an air-cooled state (i.e., a state in which cooling water is not supplied). This conventional control allows cooling water to be supplied only to the bottom surface of the steel plate in the upstream zone. Therefore, it is possible to intentionally lower the temperature of the bottom surface of the steel plate passing through the upstream zone, thereby creating a temperature difference between the top and bottom surfaces of the steel plate. This makes it possible to suppress the occurrence of upward C-warp.

[0005] Patent Document 2 proposes a control technology for a cooling device that includes a cooling nozzle that supplies cooling water to a steel plate and two thermometers (upper and lower surface thermometers) that are arranged facing each other downstream of the cooling nozzle. In this conventional control, the difference between the measurement values ​​of the two thermometers (i.e., the temperature difference between the upper and lower surfaces of the steel plate) is calculated. Furthermore, based on fluctuations in the difference between these measurement values, the temperature difference between the upper and lower surfaces of the uncooled portion of the steel plate is predicted. Then, based on this predicted temperature difference, the ratio between the amount of water injected from the cooling nozzle facing the upper surface of the steel plate (upper surface cooling nozzle) and that from the cooling nozzle facing the lower surface of the steel plate (lower surface cooling nozzle) is corrected. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Publication No. 2021-186838 [Patent Document 2] Japanese Patent Application Publication No. 2007-090425 Summary of the Invention [Problem to be solved by the invention]

[0007] However, in the control method described in Patent Document 1, the temperature difference between the top and bottom surfaces, which is intended to suppress the occurrence of upward C-warp, can cause downward C-warp, which may degrade the quality of the steel sheet in terms of flatness. Furthermore, controlling the cooling bank facing the top surface of the steel sheet in the upstream zone to an air-cooled state means that the cooling rate of the steel sheet in this zone is restricted. This makes it difficult to achieve the so-called step cooling process, which rapidly cools the steel sheet in the upstream zone of the ROT. Furthermore, controlling the cooling bank facing the bottom surface of the steel sheet in the upstream zone to a water-cooled state means that only the bottom surface of the steel sheet in this zone is rapidly cooled. This may result in inconsistent quality between the top and bottom surfaces of the steel sheet.

[0008] The control method described in Patent Document 2 does not take into account changes in the steel plate temperature at the inlet side of the cooling device or the steel plate conveying speed. Therefore, it is not possible to use a feedforward control function that corrects for changes in conditions (e.g., inlet temperature and conveying speed) compared to the preset calculation in which each position of the steel plate is calculated individually. Furthermore, under conditions where there is a discrepancy in the water cooling efficiency between the top and bottom surfaces, which is a problem due to the temperature difference between the top and bottom surfaces, correcting the ratio of the water injection amount changes the average top surface temperature and the average bottom surface temperature, respectively. Therefore, while the temperature difference between the top and bottom surfaces can be reduced, there is a problem in that the average steel plate temperature, which is the original purpose of temperature control, cannot be adjusted within an appropriate range despite the change in this average temperature.

[0009] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a technology that can improve the quality in terms of material and flatness of a steel sheet that is cooled by cooling water from a group of cooling banks and wound by a winding machine. [Means for solving the problem]

[0010] A first aspect of the present disclosure is an apparatus for controlling the temperature of a steel sheet that is cooled by cooling water from a group of cooling banks provided downstream of a rolling mill and wound by a winder provided downstream of the group of cooling banks, and has the following features: The device includes a processor configured to perform various information processing operations. The cooling bank group includes an FF bank group indicating a cooling bank group for feedforward control, and an FB bank group indicating a cooling bank group for feedback control. The processor: acquire rolling setup information including at least information on a valve pattern relating to the opening sequence of a plurality of cooling valves of the cooling bank group and information on a target value of the coiling temperature of the steel sheet, information on a measured value of a rolling mill delivery temperature indicating the temperature of the steel sheet at the delivery side of the rolling mill, information on a measured value of a coiler entry upper surface temperature indicating the temperature of the top surface of the steel sheet at the entry side of the coiler, information on a measured value of a coiler entry lower surface temperature indicating the temperature of the bottom surface of the steel sheet at the entry side of the coiler, and information on the conveying speed of the steel sheet, calculating the positions of the segments constituting the steel plate based on the conveying speed; calculating a simplified predicted value of a coiling upper surface temperature indicating the coiling temperature on the upper surface of the steel sheet and a simplified predicted value of a coiling lower surface temperature indicating the coiling temperature on the lower surface of the steel sheet based on the rolling setup information and a temperature model set in advance; calculating target values ​​of first and second control indexes related to the coiling temperature based on the target value of the coiling temperature; calculating initial amounts of injected water in the FF bank group and the FB bank group so that the target value of the first control index coincides with a simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; correcting the valve pattern so that the target value of the second control index coincides with a simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; calculating a detailed predicted value of the coiling upper surface temperature and a detailed predicted value of the coiling lower surface temperature based on the measured value of the rolling mill delivery side temperature, the conveying speed, the rolling setup information, the corrected valve pattern, and the temperature model; calculating an FF water injection amount indicating an amount of water injected into the FF bank group so that the target value of the first control index coincides with a detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the winding upper surface temperature and the winding lower surface temperature; calculates an FB water injection amount indicating the amount of water injected into the FB bank group based on the measured values ​​of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, the conveying speed, the rolling setup information, and the corrected valve pattern, so that the target value of the first control index matches the measured value of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, and so that the target value of the second control index matches the measured value of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, controlling the amount of water injected into the FF bank group based on each position of the segment, the initial water injection amount, and the FF water injection amount; The amount of water injected into the FB bank group is controlled based on the position of each segment, the initial amount of water injected, and the amount of FB water injected. It is structured as follows.

[0011] A second aspect of the present disclosure is an apparatus for controlling the temperature of a steel sheet that is cooled by cooling water from first and second cooling bank groups provided downstream of a rolling mill and wound by a winder provided downstream of the first and second cooling bank groups, and has the following features: The device includes a processor configured to perform various information processing operations. The first cooling bank group includes a first FF bank group representing a cooling bank group for feedforward control, and a first FB bank group representing a cooling bank group for feedback control. The second cooling bank group includes a second FF bank group indicating a cooling bank group for the feedforward control, and a second FB bank group indicating a cooling bank group for the feedback control. The first FB bank group is provided downstream of the first FF bank group, the second FF bank group is provided downstream of the first FB bank group, and the second FB bank group is provided downstream of the second FF bank group. The processor: acquire rolling setup information including at least information on a valve pattern related to the opening sequence of a plurality of cooling valves of the first and second cooling bank groups, information on a target value of the coiling temperature of the steel plate, and information on a target value of an intermediate temperature indicating the temperature of the steel plate at an intermediate position between the first FB bank group and the second FF bank group; information on a measured value of a rolling mill delivery temperature indicating the temperature of the steel plate at the delivery side of the rolling mill; information on a measured value of a coiler entry upper surface temperature indicating the temperature of the top surface of the steel plate at the entry side of the coiler; information on a measured value of a coiler entry lower surface temperature indicating the temperature of the bottom surface of the steel plate at the entry side of the coiler; information on a measured value of an intermediate upper surface temperature indicating the temperature of the top surface of the steel plate at the intermediate position; information on a measured value of an intermediate lower surface temperature indicating the temperature of the bottom surface of the steel plate at the intermediate position; and information on the conveying speed of the steel plate, calculating the positions of the segments constituting the steel plate based on the conveying speed; calculating a simplified predicted value of an intermediate upper surface temperature indicating the intermediate temperature on the upper surface of the steel plate and a simplified predicted value of an intermediate lower surface temperature indicating the intermediate temperature on the lower surface of the steel plate based on the rolling setup information and a first temperature model set in advance; calculating intermediate target values ​​indicating target values ​​of first and second control parameters related to the intermediate temperature based on the target value of the intermediate temperature; calculating a first initial water injection amount in the first cooling bank group so that an intermediate target value of the first control index coincides with a simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature; correcting the valve pattern for the first cooling bank group so that an intermediate target value of the second control index coincides with a simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature; calculating a detailed predicted value of the intermediate top face temperature and a detailed predicted value of the intermediate bottom face temperature based on the measured value of the rolling mill delivery temperature, the conveying speed, the rolling setup information, the modified valve pattern for the first cooling bank group, and the first temperature model; calculate a first FF water injection amount indicating the amount of water injected into the first FF bank group so that an intermediate target value of the first control indicator coincides with a detailed predicted value of the first control indicator calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, and so that an intermediate target value of the second control indicator coincides with a detailed predicted value of the second control indicator related to the intermediate temperature calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature; calculate a first FB water injection amount indicating the amount of water injected into the first FB bank group based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, the conveying speed, the rolling setup information, and the corrected valve pattern for the first cooling bank group, so that an intermediate target value of the first control indicator matches an intermediate measured value of the first control indicator calculated based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, and so that an intermediate target value of the second control indicator matches an intermediate measured value of the second control indicator calculated based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, calculating a simplified predicted value of a coiling upper surface temperature indicating the coiling temperature on the upper surface of the steel sheet and a simplified predicted value of a coiling lower surface temperature indicating the coiling temperature on the lower surface of the steel sheet based on the rolling setup information and a second temperature model set in advance; calculating final target values ​​indicating target values ​​of first and second control indexes related to the coiling temperature based on the target value of the coiling temperature; calculating a second initial amount of water injected in the second cooling bank group so that a final target value of the first control index coincides with a simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; correcting the valve pattern for the second cooling bank group so that a final target value of the second control index coincides with a simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; calculating a detailed predicted value of the coiling top surface temperature and a detailed predicted value of the coiling bottom surface temperature based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, the conveying speed, the rolling setup information, the corrected valve pattern for the second cooling bank group, and the second temperature model; a second FF water injection amount indicating an amount of water injected into the second FF bank group is calculated so that a final target value of the first control indicator coincides with a detailed predicted value of the first control indicator calculated based on the detailed predicted values ​​of the upper winding surface temperature and the lower winding surface temperature, and so that a final target value of the second control indicator coincides with a detailed predicted value of the second control indicator related to the winding temperature calculated based on the detailed predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; calculate a second FB water injection amount indicating the amount of water injected into the second FB bank group based on the measured values ​​of the winding upper surface temperature and the winding lower surface temperature, the conveying speed, the rolling setup information, and the corrected valve pattern for the second cooling bank group, so that a final target value of the first control index and a final measured value of the first control index calculated based on the measured values ​​of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature coincide with each other, and so that a final target value of the second control index and a final measured value of the second control index calculated based on the measured values ​​of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature coincide with each other; controlling the amount of water injected into the first FF bank group based on each position of the segment, the first initial water injection amount, and the first FF water injection amount; controlling the amount of water injected into the first FB bank group based on each position of the segment, the first initial water injection amount, and the first FB water injection amount; controlling the amount of water injected into the second FF bank group based on each position of the segment, the second initial water injection amount, and the second FF water injection amount; The water injection amount in the second FB bank group is controlled based on each position of the segment, the second initial water injection amount, and the second FB water injection amount. It is structured as follows. [Effects of the Invention]

[0012] According to the first aspect, four types of values, i.e., a target value, a simple predicted value, a detailed predicted value, and a measured value, are calculated for a first control index related to the coiling temperature of the steel strip. In addition, three types of values, i.e., a target value, a simple predicted value, and a measured value, are calculated for a second control index related to the coiling temperature of the steel strip.

[0013] The target value of the first control index and the simplified predicted value of the first control index are used to calculate the initial water injection amount for the FF bank group and the FB bank group. Specifically, the initial water injection amount is calculated so that the target value of the first control index and the simplified predicted value of the first control index match. The target value of the second control index and the simplified predicted value of the second control index are used to correct the valve pattern related to the opening order of the FF bank group and the FB bank group. Specifically, the valve pattern is corrected so that the target value of the second control index and the simplified predicted value of the second control index match.

[0014] The target value of the first control indicator and the detailed predicted value of the first control indicator are used to calculate the amount of water injected into the FF bank group (FF water injection amount). Specifically, the FF water injection amount is calculated so that the target value of the first control indicator and the detailed predicted value of the first control indicator match. The target values ​​of the first and second control indicators and the measured values ​​of the first and second control indicators are used to calculate the amount of water injected into the FB bank group (FB water injection amount). Specifically, the FB water injection amount is calculated so that the target value of the first control indicator and the measured value of the first control indicator match, and the target value of the second control indicator and the measured value of the second control indicator match.

[0015] According to the first aspect, the amount of water injected into the FF bank group is controlled based on the positions of the segments constituting the steel plate, the initial amount of water injected, and the FF amount of water injected. Also, the amount of water injected into the FB bank group is controlled based on the positions of the segments constituting the steel plate, the initial amount of water injected, and the FB amount of water injected. Thus, according to the first aspect, the amount of water injected from the FF bank group and the FB bank group can be controlled based on the target values ​​of the first and second control indicators, the simplified predicted values ​​of the first and second control indicators, the detailed predicted value of the first control indicator, and the measured values ​​of the first and second control indicators. Therefore, it is possible to improve the quality of the steel plate in terms of material quality and flatness.

[0016] According to the second aspect, in a cooling bank configuration including first and second FF bank groups and first and second FB bank groups, calculations similar to those performed in the first aspect for the initial water injection amount, the FF water injection amount, and the FB water injection amount are performed. Therefore, according to the second aspect, the water injection amount from the first and second FF bank groups and the water injection amount from the first and second FB bank groups can be controlled based on target values ​​of the first and second control indexes, simple predicted values ​​of the first and second control indexes, detailed predicted values ​​of the first control index, and measured values ​​of the first and second control indexes. Therefore, it is possible to obtain the same effects as those achieved by the first aspect. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a diagram illustrating a configuration example of a hot rolling line to which a temperature control device according to a first embodiment is applied. [Figure 2] FIG. 1 is a diagram illustrating an example of the configuration of a cooling bank provided in a cooling facility. [Figure 3] FIG. 10 is a diagram showing an example of a valve pattern. [Figure 4] 1 is a diagram illustrating an example of a functional configuration of a temperature control device according to a first embodiment. [Figure 5] FIG. 2 is a diagram illustrating an FF control calculation unit and an FB control calculation unit. [Figure 6] 10 is a flowchart showing an example of a process related to calculation of a corrected valve pattern executed by a setting calculation unit. [Figure 7] 10 is a flowchart showing an example of processing related to calculation of the open / closed state of a valve for a cutting plate of interest, which is executed by an FF control calculation unit. [Figure 8] FIG. 2 is a diagram showing a control block of the FB control performed by the FB control calculation unit. [Figure 9] FIG. 10 is a diagram illustrating an example of a method for calculating the open / closed state of a valve. [Figure 10] FIG. 10 is a diagram illustrating a configuration example of a hot rolling line to which a temperature control device according to a third embodiment is applied. [Figure 11] FIG. 10 is a diagram illustrating an example of the configuration of a hot rolling line to which a temperature control device according to a fourth embodiment is applied, and an example of the functional configuration of this temperature control device. [Figure 12] FIG. 10 is a diagram illustrating an example of the configuration of a cooling bank in a fourth embodiment. [Figure 13] FIG. 13 is a diagram illustrating an example of the configuration of a cooling bank in a fifth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0018] Hereinafter, a temperature control device for a steel plate according to an embodiment of the present disclosure will be described in detail with reference to the drawings. Note that common elements in the various drawings will be assigned the same reference numerals and redundant explanations will be omitted.

[0019] 1. First embodiment 1-1. Example of hot rolling line configuration FIG. 1 is a diagram illustrating an example of the configuration of a hot rolling line to which the temperature control device according to the first embodiment is applied. FIG. 1 illustrates the configuration of the hot rolling line from a finishing rolling mill 5 to a winder 7. In the example shown in FIG. 1, a steel sheet (strip) 1 is transported in a direction DR. After passing through the final stand of the finishing rolling mill 5, the steel sheet 1 passes through a cooling facility 10 and pinch rolls 6 in the ROT, and is wound by the winder 7. The cooling facility 10 includes cooling banks B1 to B2. N(N is a natural number of 2 or more). Here, the steel plate 1 is managed in discrete units (segments) called "cut plate CPs" (see Figure 5), which are obtained by dividing the steel plate 1 into M pieces in the longitudinal direction at preset distances, and various measurements and controls are performed on each cut plate CP.

[0020] FIG. 1 also shows a finish delivery thermometer 2, a coiler entry upper surface thermometer 3, and a coiler entry lower surface thermometer 4. The finish delivery thermometer 2 measures the temperature of the steel sheet 1 passing directly below it (hereinafter referred to as the "finish delivery temperature T FDT " or "Temperature T FDT ) is measured, and the measured value T FDTact The coiler entry top surface thermometer 3 measures the top surface temperature of the steel sheet 1 passing directly below it (hereinafter referred to as the coiler top surface temperature T top CT " or "Temperature T top CT ") and measure the measured value. top CTact The coiler entry bottom surface thermometer 4 measures the bottom surface temperature of the steel sheet 1 passing directly above it (hereinafter referred to as the coiler entry bottom surface temperature T bot CT " or "Temperature T bot CT ") and measure the measured value. bot CTact is output to the temperature control device 20.

[0021] 1 also shows a setup device 40. The setup device 40 generates information (such as the thickness, width, and temperature T top CT The target value T top CTref , temperature T bot CT The target value T bot CTref, a valve pattern set in advance, etc. (hereinafter also referred to as "rolling setup information"). The calculation of the rolling setup information is performed based on calculations using mathematical models, indexing of pre-set table values, input from an operator, etc. The calculation results of the rolling setup information are output to the temperature control device 20. The target value T top CTref and T bot CTref may be target values ​​of the first and second control indices described below.

[0022] The temperature control device 20 corresponds to the temperature control device of the present disclosure. The temperature control device 20 is a computer including at least one processor 20a and at least one memory 20b. The memory 20b stores various information acquired in the hot rolling line. The various information stored in the memory 20b includes the measured value T FDTact , measured value T top CTact , and the measured value T bot CTact The various information also includes temperature information for the cooling banks B1 to B N The information also includes information on the operation history of the valves acquired from the terminal 1, the rolling speed of the steel plate 1 output from the final stand of the finishing rolling mill 5, and the winding speed of the steel plate 1 output from the winder 7.

[0023] The various information stored in the memory 20b further includes rolling setup information and calculation result information such as the conveying speed of the steel sheet 1 calculated based on at least one of the rolling speed and the winding speed. The processor 20a controls the cooling banks B1 to B2 based on the various information stored in the memory 20b. N The open / closed states of the valves are calculated, and these valves are individually operated according to the calculation results.

[0024] 1-2. Cooling bank configuration example FIG. 2 is a diagram showing an example of the configuration of a cooling bank provided in the cooling equipment 10. The cooling bank B shown in FIG. i (1≦i≦N) is a pipe laminar type cooling bank. Cooling bank Bi is cooling bank B i The cooling equipment 10 includes upper surface cooling headers 12a to 12d and lower surface cooling headers 15a to 15d arranged in the longitudinal direction of the cooling equipment 10. The upper surface cooling headers 12a to 12d are provided in an upper space of the cooling equipment 10. The lower surface cooling headers 15a to 15d are provided in a lower space of the cooling equipment 10. The total number of upper surface cooling headers 12a to 12d and the total number of lower surface cooling headers 15a to 15d are not particularly limited, as long as there is at least one of each.

[0025] The top surface cooling headers 12a to 12d are connected to the top surface cooling valves 11a to 11d, respectively. The bottom surface cooling headers 15a to 15d are connected to the bottom surface cooling valves 14a to 14d, respectively. The top surface cooling valves 11a to 11d and the bottom surface cooling valves 14a to 14d are connected to the cooling bank B. i Hereinafter, when the top surface cooling valves 11a to 11d are not particularly distinguished from one another, they will be collectively referred to as "top surface cooling valves 11," and when the bottom surface cooling valves 14a to 14d are not particularly distinguished from one another, they will be collectively referred to as "bottom surface cooling valves 14."

[0026] The open / close states of the top-surface cooling valve 11 and the bottom-surface cooling valve 14 are individually controlled based on commands from the temperature control device 20. When the top-surface cooling valve 11a is opened, cooling water is sprayed from multiple top-surface cooling nozzles 13a provided in the top-surface cooling header 12a. When the top-surface cooling valves 11b to 11d are opened, cooling water is sprayed from multiple top-surface cooling nozzles 13b to 13d, respectively. When the bottom-surface cooling valve 14a is opened, cooling water is sprayed from multiple bottom-surface cooling nozzles 16a provided in the bottom-surface cooling header 15a. When the bottom-surface cooling valves 14b to 14d are opened, cooling water is sprayed from multiple bottom-surface cooling nozzles 16b to 16d, respectively. Note that the pipe laminar-type configuration shown in FIG. 2 is just one example, and any cooling bank having a configuration in which the amount of water injected in the upper and lower spaces of the cooling equipment 10 can be applied to the present disclosure.

[0027] Cooling bank B1~B NThe open / close states of the plurality of valves (i.e., the top surface cooling valves 11 and the bottom surface cooling valves 14) of the cooling system are controlled by the coiling temperature of the steel sheet 1 (i.e., the temperature T top CT and T bot CT ) is the target value (i.e., the target value T top CTref and T bot CTref ) is determined based on a valve pattern (valve priority) relating to the opening order of these valves so as to match the rolling setup information. Fig. 3 is a diagram showing an example of a valve pattern. The valve pattern shown in Fig. 3 is an example of a set valve pattern (referring to a valve pattern set in advance corresponding to steel plate 1; the same applies hereinafter) included in the rolling setup information. In this example, cooling bank B N and B N-1 All valves in the engine are numbered from 1 to 32. These numbers indicate the order in which they open.

[0028] 1-3. Example of temperature control device function configuration An example of the functional configuration of the temperature control device according to the first embodiment will be described with reference to Fig. 4. As shown in Fig. 4, the temperature control device 20 The temperature control device 20 includes an index value calculation unit 21, a tracking calculation unit 22, a setting calculation unit 23, a FF (feedforward) control calculation unit 24, a FB (feedback) control calculation unit 25, a learning value calculation unit 26, a learning value storage unit 27, and a valve control unit 28. These functions are realized, for example, by the processor 20a shown in Fig. 1 executing a predetermined program stored in the memory 20b. Note that an overview of the functions of the temperature control device 20 will be described here, and the details of the processing performed by the temperature control device 20 will be described later.

[0029] The index value calculation unit 21 calculates the target value T top CTref and T bot CTref and the first control parameter T1 CT Target value T1 CTref and the second control index T2 CT Target value T2CTref and calculate the target value T1 CTref and T2 CTref are output to the setting calculation unit 23, the FF control calculation unit 24, the FB control calculation unit 25, and the learning value calculation unit 26. CTref and T2 CTref are given directly, these target values ​​may be output as they are.

[0030] The tracking calculation unit 22 calculates each position of the cut strip CP based on the conveying speed of the steel strip 1 in the ROT. The calculation results of each position of the cut strip CP are output to the valve control unit 28 for timing management of valve operation. This calculation result is also output to the FF control calculation unit 24 and the FB control calculation unit 25 for the purpose of control calculation. The conveying speed of the steel strip 1 is determined by using the rolling speed obtained from the final stand of the finishing rolling mill 5, the coiling speed obtained from the coiler 7, or the average value of the rolling speed and the coiling speed. Note that the rolling speed is preferably corrected to the conveying speed on the delivery side of the finishing rolling mill 5 by obtaining the forward slip ratio of the final stand of the finishing rolling mill 5 from the setup device 40. The rolling speed may be a value directly measured by a speedometer installed in equipment such as the cooling equipment 10. In the following description, the conveying speed is determined by using the average value of the rolling speed and the coiling speed.

[0031] The setting calculation unit 23 calculates the set valve pattern included in the rolling setup information and the target value T1 CTref and T2 CTref Based on this, a corrected valve pattern (which refers to the corrected set valve pattern; the same applies hereinafter) and the initial opening / closing state of the valve are calculated. Here, "initial" refers to the period before FF control or FB control is started. An example of the calculation of the corrected valve pattern and the initial opening / closing state of the valve will be described later in the explanation of FIG. 6. The calculation results of the corrected valve pattern and the initial opening / closing state of the valve are output to the FF control calculation unit 24, the FB control calculation unit 25, and the valve control unit 28, respectively, for the purpose of control calculation.

[0032] The FF control calculation unit 24 and the FB control calculation unit 25 will be described with reference to FIG. N However, cooling banks B1 to B are subject to FF control. j (1≦j≦N-1) and cooling bank B, which is the target of FB control j+1 ~B N In the example shown in FIG. j is located upstream of the cooling equipment 10, and cooling bank B j+1 ~B N are located downstream of the cooling equipment 10. j and cooling bank B j+1 ~B N are set based on, for example, rolling setup information. j When no distinction is made between these, they are collectively referred to as "FF bank" and cooling bank B j+1 ~B N When no distinction is made, these are collectively referred to as "FB Bank."

[0033] The FF control calculation unit 24 calculates the rolling setup information, the conveying speed, and the measured value T so that the cooling process of the cut plate CP to be cooled (for example, the cut plate CP located on the inlet side of the cooling equipment 10) is optimized. FDTact The open / close states of the valves in the FF bank are calculated based on the corrected valve pattern and the temperature model. The calculation results of the open / close states are output to the valve control unit 28. The temperature model is expressed, for example, by the following equation (1).

[0034]

number

[0035] In equation (1), T top CTprd is the winding surface temperature T top CT is the predicted value (detailed predicted value) of T bot CTprd is the winding surface temperature T bot CTare the predicted values ​​(detailed predicted values) of X1, X2, . . ., X N are parameters such as rolling setup information, conveying speed, and valve open / close status. top CT is the winding surface temperature T top CT is the learning value for z bot CT is the winding surface temperature T bot CT This is the learning value for

[0036] As can be seen from the right side of equation (1), the function f is top FDT and T bot FDT , various parameters such as rolling setup information, and learning values ​​are input, and the predicted value T top CTprd and T bot CTprd In the first embodiment, the measured value T top FDTact and T bot FDTact is the measured value T FDTact Assuming that these values ​​are equal to the measured value T FDTact is input into equation (1).

[0037] The FB control calculation unit 25 calculates the cutting plate CP (for example, the cooling bank BB) to be cooled. j and cooling bank B j+1 The rolling setup information, transport speed and measured value T FDTact The open / close states of the valves in the FB bank are calculated based on the corrected valve pattern and the calculated open / close states are output to the valve control unit 28.

[0038] The learning value calculation unit 26 calculates a predicted value (i.e., predicted value T top CTprd and T bot CTprd ) and the actual measurement value (i.e., measurement value T topCTact and T bot CTact ) to correct the error (i.e., the learning value z top CT and z bot CT ) is calculated. The learned value is updated, for example, after the steel sheet 1 is cooled by the cooling equipment 10. In this case, historical information on the predicted values ​​and measured values ​​is temporarily stored in the memory 20b together with rolling setup information for the steel sheet 1, historical information on the conveying speed of the steel sheet 1, and operation record information on the multiple valves in the FF bank and FB bank during cooling of the steel sheet 1.

[0039] In another example, the learned value is updated while the steel sheet 1 is being cooled by the cooling equipment 10. When updating the learned value while the steel sheet 1 is being cooled, a learned value for the same steel sheet 1 is calculated based on historical information about predicted values ​​and measured values ​​for the steel sheet 1. In this case, the historical information about predicted values ​​and measured values ​​up to the calculation of the learned value is temporarily stored in the memory 20b together with rolling setup information for the steel sheet 1, historical information about the conveying speed of the steel sheet 1 up to the calculation of the learned value, and operation record information for the multiple valves in the FF bank and FB bank up to the calculation of the learned value.

[0040] The learning value storage unit 27 records the learning values ​​calculated by the learning value calculation unit 26 in a table divided based on the rolling setup information.

[0041] The valve control unit 28 adjusts the amount of water injected by opening and closing multiple valves (i.e., top surface cooling valve 11 and bottom surface cooling valve 14) in the FF bank and FB bank based on information on each position of the cut sheet CP of the steel sheet 1 transported on the ROT, information on the transport speed of the steel sheet 1, and information on the open / closed state of the valves in each cooling process of the cut sheet CP.

[0042] 1-4. First and second control indicators The calculations performed in the setting calculation unit 23, the FF control calculation unit 24, and the FB control calculation unit 25 are performed to calculate the target value T1 CTref and T2 CTref As mentioned above, the target value T1 CTrefand T2 CTref The calculation of the target value T1 is performed in the index value calculation unit 21. CTref and target value T2 CTref The calculation is performed according to the following equations (2) to (4).

[0043]

number

[0044]

number

[0045]

number

[0046] In the formulas (2) to (4), a1, b1, a2, and b2 are the winding surface temperatures T top CT and winding bottom surface temperature T bot CT The coefficients a1, b1, a2, and b2 are set in advance. However, these coefficients are set so that the coefficient matrix A shown in equation (4) becomes regular. In the following explanation, when the coefficients (a1, b1, a2, b2)=(1, 0, 1, -1), that is, when the first control index T1 CT is the temperature T top CT and the second control index T2 CT is the temperature T top CT and temperature T bot CT However, the combination of the coefficients (a1, b1, a2, b2) is not limited to this example. CT than the first control index T1 CT It is easier to control the fluctuation of the temperature T top CT , or temperature T top CT and temperature T bot CT The average value of the first control index T1CT It is recommended to set it to

[0047] The index value calculation unit 21 calculates the target value T1 CTref and target value T2 CTref are output to the setting calculation unit 23, the FF control calculation unit 24, the FB control calculation unit 25 and the learning value calculation unit 26, respectively.

[0048] 1-5. Processing example using temperature control device The details of the processes performed by the setting calculation unit 23, the FF control calculation unit 24, the FB control calculation unit 25, the learning value calculation unit 26, and the valve control unit 28 will be described below. The processes performed by these functional units include a setting process, a control process, and a learning process. The setting process is performed before the first (leading end) cut strip CP of the steel strip 1 reaches the position of the finish delivery thermometer 2. The control process is started after the first cut strip CP reaches the position of the finish delivery thermometer 2. The control process is ended after the last (trailing end) cut strip CP of the steel strip 1 reaches the position of the winder entry top surface thermometer 3 (or the position of the winder entry bottom surface thermometer 4). The learning process is started after the last cut strip CP reaches the position of the winder entry top surface thermometer 3 (or the position of the winder entry bottom surface thermometer 4). The learning process may be started after the first cut strip CP reaches the position of the winder entry top surface thermometer 3 (or the position of the winder entry bottom surface thermometer 4).

[0049] At the start of the setting process, the setting calculation unit 23 is given rolling setup information from the setup device 40. This rolling setup information includes a set valve pattern and a set conveyance speed (a conveyance speed that is set in advance corresponding to the steel sheet 1). In addition, the setting calculation unit 23 receives a target value T1 from the index value calculation unit 21. CTref and T2 CTref The setting calculation unit 23 calculates the target value T2 CTref The setting calculation unit 23 also calculates a corrected valve pattern so that the target value T1 CTref The initial number of open valves that can simultaneously achieve the above is calculated.

[0050] Fig. 6 is a flowchart showing an example of processing related to the calculation of a corrected valve pattern executed by the setting calculation unit 23 (processor 20a). In the routine shown in Fig. 6, first, rolling setup information for the steel sheet 1 and information on learned values ​​corresponding to this steel sheet 1 are read (step S10). Next, the open / closed states of the valves are determined based on the set valve pattern and the number of open valves that is set in advance as a temporary setting for repeated calculations (step S11).

[0051] Following the process of step S11, the winding upper surface temperature T top CT Predicted value (simple predicted value) T top CTprd and the winding surface temperature T bot CT Predicted value (simple predicted value) T bot CTprd The simple predicted value T top CTprd and T bot CTprd The calculation is performed by adding the rolling setup information read in the processing of step S10 and the measurement value acquired from the finishing delivery thermometer 2 to the temperature model of the above formula (1). FDTact This is done by applying parameters such as:

[0052] Following the processing of step S12, the first control index T1 CT Predicted value (simple predicted value) T1 CTprd and the second control index T2 CT Predicted value (simple predicted value) T2 CTprd The simple predicted value T1 is calculated (step S13). CTprd and T2 CTprd The calculation of is performed by adding the simple predicted value T calculated in the process of step S12 to the above equations (2) and (3). top CTprd and T bot CTprd This is done by applying

[0053] Following the processing of step S13, the first control index T1 CTThe evaluation function J1 is calculated (step S14). For example, the following formula (5) is used to calculate the evaluation function J1. Note that the predicted value T1 on the right side of the following formula (5) CTprd The value calculated in the process of step S13 is used for the target value T1 CTref The value given by the index value calculation unit 21 is used for the parameter.

[0054]

number

[0055] Following the processing of step S14, it is determined whether or not the evaluation function J1 satisfies a first termination condition (step S15). The first termination condition is determined, for example, by whether or not the evaluation function J1 falls within a preset range. If it is determined that the first termination condition is not satisfied, the number of open valves is changed (step S16), and the processing of step S11 is performed. That is, the processing of steps S11 to S16 is repeated until it is determined that the first termination condition is satisfied. The number of open valves is changed, for example, by increasing the number when the evaluation function J1 is positive, and by decreasing the number when the evaluation function J1 is negative.

[0056] If it is determined that the first termination condition is satisfied, the second control index T2 CT The evaluation function J2 is calculated (step S17). For example, the following formula (6) is used to calculate the evaluation function J2. Note that the predicted value T2 on the right side of the following formula (6) CTprd The value calculated in the process of step S13 is used for the target value T2 CTref The value given by the index value calculation unit 21 is used for the parameter.

[0057]

number

[0058] Following the processing of step S17, it is determined whether or not the evaluation function J2 satisfies a second termination condition (step S18). The second termination condition is determined, for example, by whether or not the evaluation function J2 falls within a preset range. If it is determined that the second termination condition is not satisfied, the valve pattern is changed (step S19), and the processing of step S12 is performed. In other words, 2 The processes of steps S12 to S19 are repeated until it is determined that the termination condition is satisfied. The change of the valve pattern is performed, for example, by rearranging the opening order so that the amount of water injected into a specific region does not increase suddenly, causing rapid cooling, and the ratio of the number of open valves of the top surface cooling valves 11 and the bottom surface cooling valves 14 is changed within each cooling bank or within a preset cooling bank group.

[0059] If it is determined that the second termination condition is satisfied, the valve pattern when this second termination condition is satisfied is set as a modified valve pattern, and the number of open valves is set as the initial number of open valves, and information on this is output to the FF control calculation unit 24 and the FB control calculation unit 25. In addition, information on the open / closed states of the valves calculated based on the modified valve pattern and the initial number of open valves is output to the valve control unit 28.

[0060] During the execution of the setting process, the FF control calculation unit 24 acquires rolling setup information for the steel sheet 1 from the setup device 40. The FF control calculation unit 24 also acquires the target value T1 CTref and T2 CTref The FF control calculation unit 24 acquires the information on the learned value corresponding to the steel plate 1 from the learning value storage unit 27. The FF control calculation unit 24 further acquires information on the corrected valve pattern and the initial number of open valves for the FF bank from the setting calculation unit 23.

[0061] During the execution of the control process, the FF control calculation unit 24 receives the measured value T FDTact Each time the controller 21 acquires the current value, it calculates the open / closed state of the valves in the FF bank. The calculation result of the open / closed state is output to the valve control unit 28.

[0062] FIG. 7 shows the cutting operation of the target cutting plate CP executed by the FF control calculation unit 24 (processor 20a). tgt 1 is a flowchart showing an example of a process for calculating the open / closed state of a valve for 7 In the routine shown in FIG. 1, first, the rolling setup information of the steel plate 1, the information of the learned value corresponding to this steel plate 1, the information of the corrected valve pattern, and the measured value T FDTact The information on the conveying speed of steel plate 1 and the cut plate CP tgt The information on the number of open valves for the cutting plate CP one division before is read (step S20). tgt If the cutting edge CP is the cutting edge CP tgt The information on the number of open valves for the cutting plate CP one division before is based on the information on the initial number of open valves.

[0063] Following the processing of step S20, the corrected valve pattern for the FF bank and the cut plate CP tgt Based on the number of open valves for the cut plate CP one division before, tgt The open / closed state of the valve for the target is determined (step S21).

[0064] Following the process of step S21, the winding upper surface temperature T top CT Predicted value (detailed predicted value) T top CTprd and the winding surface temperature T bot CT Predicted value (detailed predicted value) T bot CTprd The detailed predicted value T top CTprd and T bot CTprd The calculation is performed by adding the rolling setup information read in the processing of step S20 and the measurement value T obtained from the finishing delivery thermometer 2 to the temperature model of the above formula (1). FDTact This is done by applying parameters such as:

[0065] Following the processing of step S22, the first control index T1 CT Predicted value (detailed predicted value) T1 CTprd and the second control index T2 CT Predicted value (detailed predicted value) T2 CTprd The detailed predicted value T1 is calculated (step S23). CTprd and T2 CTprd The calculation is performed by substituting the detailed predicted value T calculated in the process of step S22 into the variables on the right side of the above equations (2) and (3). top CTprd and T bot CTprd This is done by applying

[0066] Following the processing of step S23, the first control index T1 CT The evaluation function J3 is calculated (step S24). For example, the following formula (7) is used to calculate the evaluation function J3. Note that the predicted value T1 on the right side of the following formula (7) CTprd The value calculated in the process of step S23 is used for the target value T1 CTref The value given by the index value calculation unit 21 is used for the parameter.

[0067]

number

[0068] Following the processing of step S24, it is determined whether or not the evaluation function J3 satisfies a termination condition (step S25). This termination condition is determined, for example, by whether or not the evaluation function J3 falls within a preset range. If it is determined that the termination condition is not satisfied, the number of open valves is changed based on the evaluation function J3 (step S26), and the processing of step S21 is performed. That is, the processing of steps S21 to S26 is repeated until it is determined that the termination condition is satisfied. The change in the number of open valves based on the evaluation function J3 is performed, for example, by increasing the number of open valves by one until the evaluation function J3 changes from a positive value to a negative value.

[0069] If it is determined that the termination condition is met, the cutting board CP when this termination condition is met tgt Information on the open / closed state of the valves for the cutting plate CP is output to the valve control unit 28. Information on the number of open valves when the end condition is satisfied is also output to the cutting plate CP. tgt The value is stored for calculating the open / close state of the valve for the cutter plate CP one division later.

[0070] During the execution of the setting process, the FB control calculation unit 25 acquires rolling setup information for the steel sheet 1 from the setup device 40. The FB control calculation unit 25 also acquires the target value T1 CTref and T2 CTref The FB control calculation unit 25 acquires the information on the learned value corresponding to the steel plate 1 from the learning value storage unit 27. The FB control calculation unit 25 further acquires information on the corrected valve pattern and the initial number of open valves for the FB bank from the setting calculation unit 23.

[0071] During the execution of the control process, the FB control calculation unit 25 receives the measured value T FDTact Each time the controller 21 acquires the value, it calculates the open / closed state of the valves in the FB bank. The calculation result of the open / closed state is output to the valve control unit 28.

[0072] 8 is a diagram showing a control block of the FB control performed by the FB control calculation unit 25 (processor 20a). As shown in FIG. 8, in the FB control, the measured value T top FDTact and T bot FDTact (In the first embodiment, T top FDTact =T bot FDTact =T FDTact ) and the above equations (2) and (3), the first control index T1 CT Measurement value T1 CTact and the second control index T2 CT Measurement value T2 CTact In FB control, the measured value T1 CTact and T2 CTact and target value T1CTref and T2 CTref Based on the following equations (8) and (9), the first control index T1 CT Deviation ΔT1 CT and the second control index T2 CT Deviation ΔT2 CT are calculated respectively.

[0073]

number

[0074]

number

[0075] Deviation ΔT1 CT and ΔT2 CT is the first control index T1 CT and the second control index T2 CT These controllers are, for example, PID controllers.

[0076] The amount of temperature drop on the top surface of steel plate 1 due to cooling water from the FB bank dT top FB and the drop in bottom surface temperature dT bot FB is the number N of open valves of the upper cooling valve 11 top FB and the number N of open valves of the bottom cooling valves 14. bot FB It is expressed by the following equation (10) using

[0077]

number

[0078] In equation (10), F is the number N top FB and N bot FB The amount of dT top FB and dT botFB is a matrix for calculating the above. The matrix F can be obtained, for example, by linearization based on sensitivity analysis of the temperature model of the above formula (1) in which rolling setup information corresponding to the steel sheet 1 is set. In another example, the matrix F can be obtained by statistical analysis of performance data on past steel sheets rolled under the same rolling conditions as those of the steel sheet 1, by indexing from table values ​​based on pre-analyzed rolling conditions, or by sequentially calculating a matrix locally linearized near the current state using a temperature model. Note that, if sequential calculation is not performed, a correction term related to the conveying speed of the steel sheet 1 may be provided in consideration of the influence of this conveying speed. Furthermore, in consideration of changes over time due to heat conduction, the matrix F may be expressed using a differential equation or a difference equation to take past values ​​into account.

[0079] In FB control, the first control index T1 CT The change in dT1 CT and the second control index T2 CT The change in dT2 CT Based on the following equations (11) and (12), the number of open valves N top FB and N bot FB are calculated respectively.

[0080]

number

[0081]

number

[0082] In equation (12), C is the inverse matrix A of the matrix A shown in equation (4) above. -1 The change amount dT1 CT and dT2 CT The amount of drop dT top FB and dT bot FB and the inverse matrix F of the matrix F shown in the above equation (10) is obtained. -1The number of these descending amounts is N top FB and N bot FB The element of the i-th row and j-th column of the matrix C is the coefficient matrix c shown in Figure 8. 11 ~c 22 It corresponds to.

[0083] In FB control, the last calculated number N top FB and N bot FB is converted into an integer. According to this conversion into an integer, the first control index T1 CT FB control for the second control index T2 CT Therefore, it is possible to suppress interference between the feedback control and the feedback control.

[0084] The FB control calculation unit 25 calculates the integer number N top FB and N bot FB and the corrected valve pattern for the FB bank, the open / close states of the valves in the FB bank are calculated. The calculation results of the open / close states are output to the valve control unit 28.

[0085] 9 is a diagram for explaining an example of a method for calculating the open / closed state of the valve. N-1 ~B N The set valve pattern for bank B is shown in FIG. 9. In the example shown in FIG. 9, a corrected valve pattern is calculated. This corrected valve pattern separates the opening order of the top surface cooling valves 11 and the bottom surface cooling valves 14, and rearranges the opening order for the top and bottom individually. The middle part of FIG. 9 shows the valve pattern (i.e., the corrected valve pattern) after the opening order has been rearranged. Number of valves N top FB and N bot FB Once calculated, the valves to be opened are selected in accordance with this corrected valve pattern.

[0086] The bottom of Figure 9 shows the number N top FB= 4, and number N bot FB An example of selecting an open valve when = 7 is shown. In the example at the bottom of Figure 9, cooling bank B N The top cooling valves 11f, 11e, 11d and 11c of cooling bank B are open. N The lower cooling valves 14f, 14e, 14d, 14c, 14b and 14a of the cooling bank B N-1 The bottom cooling valve 14h is open.

[0087] During the setting process, the valve control unit 28 controls the cooling banks B1 to B2 provided by the setting calculation unit 23. N The valves of these cooling banks are operated according to the information on the initial open / close states of the valves.

[0088] During the control process, the valve control unit 28 operates the multiple valves of the FF bank based on information on each position of the cutting plate CP provided by the tracking calculation unit 22 and information on the open / close states of the valves of the FF bank provided by the FF control calculation unit 24. The valve control unit 28 also operates the multiple valves of the FB bank based on information on each position of the cutting plate CP and information on the open / close states of the valves of the FB bank provided by the FB control calculation unit 25. The valve control unit 28 also outputs valve operation performance information to the learning value calculation unit 26.

[0089] During the execution of the setting process, the learning value calculation unit 26 acquires rolling setup information for the steel sheet 1 from the setup device 40. The learning value calculation unit 26 also calculates the target value T1 CTref and T2 CTref The information is acquired from the index value calculation unit 21. The learning value calculation unit 26 further acquires information on the learning value corresponding to the steel plate 1 from the learning value storage unit 27.

[0090] During the control process, the learning value calculation unit 26 calculates the measured value T FDTact and the measured value T top CTact and the measured value T bot CTactThe learning value calculation unit 26 also acquires and temporarily stores information on each position of the cut sheet CP, information on the conveying speed of the steel sheet 1, and information on the operation results of the valves.

[0091] During the execution of the learning process, the learning value calculation unit 26 calculates the winding upper surface temperature T top CT Predicted value (training predicted value) T top CTprd and the winding surface temperature T bot CT Predicted value (training predicted value) T bot CTprd The learning value calculation unit 26 also calculates the learning predicted value T top CTprd and T bot CTprd This evaluation is performed using, for example, an evaluation function J4 shown in the following formula (13). In formula (13), h denotes the number of the cutting board CP.

[0092]

number

[0093] Predicted value for learning T top CTprd and T bot CTprd In the evaluation of the training data, it is determined whether the evaluation function J4 satisfies a termination condition. This termination condition is determined, for example, by whether the evaluation function J4 in the previous evaluation and the evaluation function J4 in the current evaluation are both equal to or less than a preset value. If it is determined that the termination condition is not satisfied, the learning value is updated based on the evaluation function J4, and the training predicted value T top CTprd and T bot CTprdand evaluation using the above formula (13). As a method for updating the learning value based on the evaluation function, for example, the quasi-Newton method, which is known as an optimization method, can be applied. The calculation of the predicted value, evaluation using the evaluation function, and update of the learning value are repeated until the termination condition is satisfied. When the termination condition is satisfied, a value obtained by proportionally dividing the learning value when this termination condition is satisfied and the learning value corresponding to the steel plate 1 is calculated as the final learning value. This final learning value is recorded in the learning value storage unit 27.

[0094] 2. Second embodiment In the second embodiment, in the calculation of the valve open / close state performed by the FB control calculation unit 25 in the first embodiment, the deviation ΔT1 by Smith prediction expressed by the following equations (14) and (15) is used instead of the above equations (8) and (9). CTsmt and ΔT2 CTsmt is calculated. Deviation ΔT1 CTsmt and ΔT2 CTsmt is the first control index T1 CT and the second control index T2 CT are input to the controller (see FIG. 8).

[0095]

number

[0096]

number

[0097] The Smith predictor is for cooling bank B. j+1 Cut plate CP entering tgt (i.e., cooling bank B j and cooling bank B j+1 The temperature T of the upper surface of the coil (the cutting strip CP located between top CT The predicted value of T top CTsmt1 and the winding surface temperature T bot CT The predicted value of T bot CTsmt1 The predicted value Ttop CTsmt1 and T bot CTsmt1 The calculation is done by cutting board CP tgt The measured value T when it passes the position of the finishing exit thermometer 2 FDTact and the valve open / close status (for FF valves, cut plate CP tgt The actual open / close state of the FB valve is the cutting plate CP tgt The opening / closing state is calculated for the cutting plate CP one division before the opening / closing state and the conveying speed.

[0098] Prediction value T top CTsmt1 and T bot CTsmt1 When the first control parameter T1 is calculated, the first control parameter T1 is calculated based on these predicted values ​​and the following equation (16). CT Predicted value (Smith prediction) T1 CTsmt1 and the second control index T2 CT Predicted value (Smith prediction value) T2 CTsmt1 and are calculated.

[0099]

number

[0100] In equation (16), A is the coefficient matrix shown in equation (4). In order to consider the dead time delay due to transportation, the measured value T top CTact and T bot CTact and the first control parameter T1 expressed by the following equation (17): CT Predicted value (Smith prediction) T1 CTsmt2 and the second control index T2 CT Predicted value (Smith prediction value) T2 CTsmt2 The error between the predicted value T1 CTsmt2 and T2 CTsmt2 is a cutting board CP tgt More wasted time than T d Seconds ago, cooling bank B j+1This is the predicted value for the cutting plate CP that has entered the

[0101]

number

[0102] Measurement value T top CTact and T bot CTact and Smith prediction value T1 CTsmt2 and T2 CTsmt2 Once the error between the two is calculated, the predicted value T top CTsmt1 and T bot CTsmt1 The series of calculations are expressed in the above equations (14) and (15).

[0103] 3. Third embodiment Fig. 10 is a diagram illustrating a configuration example of a hot rolling line to which a temperature control device according to the third embodiment is applied. The difference between the configuration example shown in Fig. 10 and that shown in Fig. 1 is the thermometer on the outlet side of the final stand of the finishing rolling mill 5. That is, while the configuration example shown in Fig. 1 has only a finish outlet thermometer 2, the configuration example shown in Fig. 10 has a finish outlet top surface thermometer 2a and a finish outlet bottom surface thermometer 2b.

[0104] In the third embodiment, the predicted value T based on the calculations by the FF control calculation unit 24 and the learning value calculation unit 26 in the first embodiment and the temperature model of the FB control calculation unit 25 in the second embodiment is used. bot CTsmt1 and T bot CTsmt1 The measurement value T top FDTact and T bot FDTact Therefore, it is possible to improve the accuracy of calculation of various predicted values ​​compared to the first embodiment.

[0105] 4. Fourth embodiment FIG. 11 is a diagram for explaining a configuration example of a hot rolling line to which the temperature control device according to the fourth embodiment is applied and a functional configuration example of this temperature control device. In FIG. 11, an intermediate upper surface thermometer 8 and an intermediate lower surface thermometer 9 are depicted. The intermediate upper surface thermometer 8 and the intermediate lower surface thermometer 9 are provided on the outlet side of the cooling bank B l (2 < l ≦ N - 2). The intermediate upper surface thermometer 8 measures the temperature of the steel sheet 1 passing directly below it (hereinafter, also referred to as "intermediate upper surface temperature T top MT " or "temperature T top MT "), and outputs the measured value T top MTact to the temperature control device 20. The intermediate lower surface thermometer 9 measures the temperature of the steel sheet 1 passing directly above it (hereinafter, also referred to as "intermediate lower surface temperature T bot MT " or "temperature T bot MT "), and outputs the measured value bot MTact to the temperature control device 20.

[0106] The temperature control device shown in FIG. 11 20 has, as functions replacing the FF control calculation unit 24 and the FB control calculation unit 25 shown in FIG. 4, FF control calculation units 24a and 24b, and FB control calculation units 25a and 25b. However, the basic functions of the FF control calculation units 24a and 24b are the same as those of the FF control calculation unit 24 shown in FIG. 4. Also, the basic functions of the FB control calculation units 25a and 25b are the same as those of the FB control calculation unit 25 shown in FIG. 4.

[0107] FIG. 12 is a diagram for explaining a configuration example of the cooling banks B1 to B N in the fourth embodiment. In the example shown in FIG. 12, in order from the upstream side of the cooling facility 10, cooling banks B1 to B k , cooling banks B k+1 to B<00​​​​​​​​​​and B l+1 ~B m corresponds to the FF bank. Cooling bank B k+1 ~B l and B m+1 ~B N corresponds to FB Bank.

[0108] Below, cooling banks B1 to B k When no distinction is made between them, they are collectively referred to as the "1st FF bank" and the cooling bank B l+1 ~B m When no distinction is made between them, they are collectively referred to as the "second FF bank." k+1 ~B l When no distinction is made between them, they are collectively referred to as "1st FB bank" and "2nd FB bank" m+1 ~B N When no distinction is made, these are collectively referred to as "Second FB Bank."

[0109] Returning to Figure 11, the temperature control device 20 The functional configuration example will be explained below. In the first embodiment, the first control index T1 CT Target value T1 CTref and the second control index T2 CT Target value T2 CTref Based on this, calculations were performed in the setting calculation unit 23, the FF control calculation unit 24, and the FB control calculation unit 25. CTref and T2 CTref is also used in the fourth embodiment. In the fourth embodiment, target values ​​of the first and second control indexes related to the intermediate temperature are further used.

[0110] First control parameter T1 for intermediate temperature MT Target value T1 MTref and the second control index T2 MT Target value T2 MTref is calculated, for example, according to the following equation (18).

[0111]

number

[0112] In equation (18), A is the same as the matrix A shown in equation (4). MTref and T2 MTref The variables on the right side of equation (18) are the measured values ​​T top MTact and T bot MTact It is calculated by applying

[0113] Target value T1 CTref and T2 CTref and target value T1 MTref and T2 MTref In order to distinguish between these two, the target value T1 CTref and T2 CTref "Final target value T1 CTref and T2 CTref " and the target value T1 MTref and T2 MTref "Intermediate target value T1 MTref and T2 MTref "It is also called "

[0114] The FF control calculation unit 24a calculates the open / close states of multiple valves in the first FF bank and outputs the results to the valve control unit 28. The FF control calculation unit 24b calculates the open / close states of multiple valves in the second FF bank and outputs the results to the valve control unit 28. The FB control calculation unit 25a calculates the open / close states of multiple valves in the first FB bank and outputs the results to the valve control unit 28. The FB control calculation unit 25b calculates the open / close states of multiple valves in the second FB bank and outputs the results to the valve control unit 28.

[0115] During the execution of the setting process, the FF control calculation unit 24a receives the setting information from the setup device 40. rolling The FF control calculation unit 24a also obtains the setup information. MTref and T2 MTrefThe FF control calculation unit 24a acquires information on the corrected valve pattern and the initial number of open valves for the first FF bank from the setting calculation unit 23. The FF control calculation unit 24a further acquires information on learned values ​​related to a "first temperature model" corresponding to the steel plate 1 from the learned value storage unit 27. Here, the first temperature model is expressed, for example, by the following equation (19).

[0116]

number

[0117] The variables on the right side of equation (19) are basically the same as those on the right side of equation (1). However, the learning value z MT is the intermediate top surface temperature T top MT is the learning value for z bot MT is the intermediate bottom surface temperature T bot MT This is the learning value for

[0118] During the control process, the FF control calculation unit 24a receives the measured value T FDTact Each time the first control index T1 is acquired, the open / close state of the valves in the first FF bank is calculated. The calculation result of the open / close state is output to the valve control unit 28. In the calculation of the open / close state of the valves, in the explanation of FIG. 7, "FF control calculation unit 24" is read as "FF control calculation unit 24a" and "FF bank" is read as "first FF bank". Also, "first control index T1 CT " to "First control index T1 MT " and "Second control index T2 CT " to "Second control index T2 MT " and "Detailed forecast value T CTprd and T bot CTprd " to "Prediction value (detailed prediction value) T MTprd and T bot MTprd Furthermore, "the temperature model of the above formula (1)" is replaced with "the first temperature model of the above formula (19)" and "the target value T1 CTref " to "Target value T1MTref This explains an example of the process for calculating the open / closed state of the valves in the first FF bank.

[0119] During the execution of the setting process, the FB control calculation unit 25a acquires rolling setup information for the steel sheet 1 from the setup device 40. The FB control calculation unit 25a also acquires the target value T1 MTref and T2 MTref The FB control calculation unit 25a acquires the information on the learned value corresponding to the steel plate 1 from the learning value storage unit 27. The FB control calculation unit 25a further acquires information on the corrected valve pattern and the initial number of open valves for the first FB bank from the setting calculation unit 23.

[0120] During the execution of the control process, the FB control calculation unit 25a receives the measured value T FDTact Each time the first control index T1 is acquired, the open / close state of the valves in the first FB bank is calculated. The calculation result of the open / close state is output to the valve control unit 28. In the explanation of FIG. 8, the "FB control calculation unit 25" is read as the "FB control calculation unit 25a" and the "FB bank" is read as the "first FB bank". CT " to "First control index T1 MT " and "Second control index T2 CT " to "Second control index T2 MT " Furthermore, "Measurement value T1 CTact and T2 CTact " to "Measurement value T1 MTact and T2 MTact " and "Target value T1 CTref and T2 CTref " to "Target value T1 MTref and T2 MTref " and "Deviation ΔT1 CT and ΔT2 CT " to "Deviation ΔT1 MT and ΔT2 MT " and "Change dT1 CT and dT2 CT " to "Change dT1 MT and dT2MT This explains an example of the process for calculating the open / closed state of the valves in the first FF bank.

[0121] During the execution of the setting process, the FF control calculation unit 24b receives the setting information from the setup device 40. rolling The FF control calculation unit 24b also obtains the setup information. CTref and T2 CTref The FF control calculation unit 24b acquires information on the corrected valve pattern and the initial number of open valves for the second FF bank from the setting calculation unit 23. The FF control calculation unit 24b further acquires information on learned values ​​related to a "second temperature model" corresponding to the steel plate 1 from the learned value storage unit 27. Here, the second temperature model is expressed, for example, by the following equation (20).

[0122]

number

[0123] The variables on the right side of equation (20) are basically the same as those on the right side of equation (1) above. However, T top MT The intermediate top surface temperature T top MT The measured value of T top MTact is entered, and T bot MT The intermediate bottom temperature T bot MT The measured value of T bot MTact is entered.

[0124] During the control process, the FF control calculation unit 24b receives the measured values ​​T top MTact and T bot MTactEach time the temperature model (temperature model) is acquired, the open / closed state of the valves in the second FF bank is calculated. The calculation result of the open / closed state is output to the valve control unit 28. In the calculation of the open / closed state of the valves in the explanation of FIG. 7, "FF control calculation unit 24" is read as "FF control calculation unit 24b", and "FF bank" is read as "second FF bank". Furthermore, "temperature model of the above formula (1)" is read as "second temperature model of the above formula (20)". This explains an example of the process for calculating the open / closed state of the valves in the second FF bank.

[0125] During the execution of the setting process, the FB control calculation unit 25b acquires rolling setup information for the steel sheet 1 from the setup device 40. The FB control calculation unit 25b also acquires the target value T1 CTref and T2 CTref The FB control calculation unit 25b acquires the information on the learned value corresponding to the steel plate 1 from the learning value storage unit 27. The FB control calculation unit 25b further acquires information on the corrected valve pattern and the initial number of open valves for the second FB bank from the setting calculation unit 23.

[0126] During the execution of the control process, the FB control calculation unit 25b calculates the measured value T top MTact and T bot MTact Each time the second FB bank is acquired, the open / closed states of the valves in the second FB bank are calculated. The calculation results of the open / closed states are output to the valve control unit 28. In the explanation of FIG. 8, the "FB control calculation unit 25" is read as the "FB control calculation unit 25b" and the "FB bank" is read as the "second FB bank." This explains an example of the process for calculating the open / closed states of the valves in the second FB bank.

[0127] The learned value storage unit 27 stores the learned values ​​relating to the first temperature model and the learned values ​​relating to the second temperature model separately.

[0128] During the control process, the learning value calculation unit 26 receives the measurement value T topMTact The measured value T bot MTact is acquired and temporarily stored.

[0129] During the learning process, the learning value calculation unit 26 receives a learning value related to the first temperature model from the learning value storage unit 27. The learning value calculation unit 26 also calculates the intermediate upper surface temperature T top MT Predicted value (training predicted value) T top MTprd and the intermediate bottom surface temperature T bot MT Predicted value (training predicted value) T bot MTprd The learning value calculation unit 26 further calculates the learning predicted value T top MTprd and T bot MTprd This evaluation is performed using, for example, an evaluation function J5 shown in the following formula (21). In formula (21), h denotes the number of the cutting board CP.

[0130]

number

[0131] Predicted value for learning T top CTprd and T bot CTprd The evaluation method for the learning predicted value T top CTprd and T bot CTprd Furthermore, the method of determining and updating the learned values ​​for the first temperature model is the same as the method of determining and updating the learned values ​​for the temperature model in the first embodiment.

[0132] During the learning process, the learning value calculation unit 26 determines and updates the learning value for the second temperature model. The method for determining and updating the learning value for the second temperature model is the same as the method for determining and updating the learning value for the temperature model in the first embodiment.

[0133] In the fourth embodiment, a pair of intermediate upper surface thermometer 8 and intermediate lower surface thermometer 9 is installed in the ROT. However, the total number of intermediate thermometers forming this pair may be two or more, and in this case, the target value, simple predicted value, detailed predicted value, etc. are calculated as appropriate in accordance with the description of the fourth embodiment.

[0134] 5. Fifth embodiment Fig. 13 is a diagram showing a configuration example of a cooling bank in the fifth embodiment. In the example shown in Fig. 13, an upper surface flow rate adjustment valve 17 is provided upstream of the upper surface cooling valve 11. In addition, a lower surface flow rate adjustment valve 18 is provided upstream of the lower surface cooling valve 14.

[0135] In the first embodiment, the number N of open valves of the upper surface cooling valve 11 and the lower surface cooling valve 14 is top FB and N bot FB Cooling bank B by opening and closing the valve based on i In the fifth embodiment, the flow rates of the cooling water from the upper surface flow rate adjustment valve 17 and the lower surface flow rate adjustment valve 18 are adjusted.

[0136] The flow rate of cooling water from the upper surface flow rate control valve 17 (upper surface flow rate) and the flow rate of cooling water from the lower surface flow rate control valve 18 ( Bottom surface The flow rate) is calculated, for example, by counting the number of valves that are open on the upper surface side and the number of valves that are open on the lower surface side from the valve open / closed states calculated in the first embodiment, and converting them into an upper surface flow rate and a lower surface flow rate based on the following relational expression (22). The calculated upper surface flow rate and lower surface flow rate are output to the valve control unit 28.

[0137]

number

[0138] In equation (22), q i is cooling bank B i is the flow rate (total flow rate) on the upper and lower surfaces at maxi is cooling bank B i The maximum flow rate at the top and bottom of the calc i is cooling bank B i is the number of valves that open on the top and bottom sides calculated for N max i is cooling bank B i This is the maximum number of valves that can be opened on the top and bottom sides of the valve.

[0139] The calculation of the upper surface flow rate and the lower surface flow rate is not limited to this example, and they may be calculated directly by applying the flow rate of each cooling bank to the temperature model. i The multiple upper surface cooling valves have the same valve priority, and the multiple lower surface cooling valves also have the same valve priority. However, the valve priority of the upper surface cooling valves and that of the lower surface cooling valves may be the same or different.

[0140] In the fifth embodiment, the valve control unit 28 receives the values ​​of the cooling banks B1 to B2 provided by the setting calculation unit 23, the FF control calculation unit 24, and the FB control calculation unit 25. N The upper surface flow rate q top 1 ~q top N and the bottom flow rate q bot 1 ~q bot N Based on this, the upper surface flow rate control valve 17 and the lower surface flow rate control valve 18 are operated. [Explanation of symbols]

[0141] 1 Steel plate 2 Finishing exit side thermometer 2a Finishing exit side upper surface thermometer 2b Finishing exit side lower surface thermometer 3 Winder entry side upper surface thermometer 4 Winder entry side lower surface thermometer 5 Finishing rolling mill 7 Winder 10 Cooling equipment 11a to 11h Upper surface cooling valve 14a to 14h Lower surface cooling valve 20 Temperature control device 20a Processor 20b Memory 40 Setup device B1 to B N cooling bank CP,CP tgt cutting board

Claims

1. 1. An apparatus for controlling the temperature of a steel sheet that is cooled by cooling water from a cooling bank group provided downstream of a rolling mill and is wound by a winder provided downstream of the cooling bank group, A processor for executing various information processing operations is provided. the cooling bank group includes an FF bank group representing a cooling bank group for feedforward control and an FB bank group representing a cooling bank group for feedback control, The processor: acquire rolling setup information including at least information on a valve pattern relating to the opening sequence of a plurality of cooling valves of the cooling bank group and information on a target value of the coiling temperature of the steel sheet, information on a measured value of a rolling mill delivery temperature indicating the temperature of the steel sheet at the delivery side of the rolling mill, information on a measured value of a coiler entry upper surface temperature indicating the temperature of the top surface of the steel sheet at the entry side of the coiler, information on a measured value of a coiler entry lower surface temperature indicating the temperature of the bottom surface of the steel sheet at the entry side of the coiler, and information on the conveying speed of the steel sheet, calculating the positions of the segments constituting the steel plate based on the conveying speed; calculating a simplified predicted value of a coiling upper surface temperature indicating the coiling temperature on the upper surface of the steel sheet and a simplified predicted value of a coiling lower surface temperature indicating the coiling temperature on the lower surface of the steel sheet based on the rolling setup information and a temperature model set in advance; calculating target values ​​of first and second control indexes related to the winding temperature based on the target value of the winding temperature; calculating initial amounts of injected water in the FF bank group and the FB bank group so that the target value of the first control index coincides with a simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the winding upper surface temperature and the winding lower surface temperature; correcting the valve pattern so that the target value of the second control index coincides with a simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; calculating a detailed predicted value of the coiling upper surface temperature and a detailed predicted value of the coiling lower surface temperature based on the measured value of the rolling mill delivery side temperature, the conveying speed, the rolling setup information, the corrected valve pattern, and the temperature model; calculating an FF water injection amount indicating an amount of water injected into the FF bank group so that the target value of the first control index coincides with a detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the winding upper surface temperature and the winding lower surface temperature; calculates an FB water injection amount indicating the amount of water injected into the FB bank group based on the measured values ​​of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, the conveying speed, the rolling setup information, and the corrected valve pattern, so that the target value of the first control index matches the measured value of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, and so that the target value of the second control index matches the measured value of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, controlling the amount of water injected into the FF bank group based on each position of the segment, the initial water injection amount, and the FF water injection amount; The amount of water injected into the FB bank group is controlled based on the position of each segment, the initial amount of water injected, and the amount of FB water injected. A temperature control device for steel plate characterized by the above.

2. 2. The temperature control device according to claim 1, The processor further comprises: acquiring information on at least one of a rolling speed in a final stand of the rolling mill and a winding speed in the winder; The conveying speed is calculated based on at least one of the rolling speed and the winding speed. A temperature control device for steel plate characterized by the above.

3. 2. The temperature control device according to claim 1, The processor: Information on the transport speed is obtained from a speedometer provided midway through the group of cooling banks. A temperature control device for steel plate characterized by the above.

4. 3. The temperature control device according to claim 1 or 2, The information on the measurement value of the rolling mill outlet temperature includes information on the measurement value of the rolling mill outlet upper surface temperature indicating the temperature of the upper surface of the steel plate at the outlet of the rolling mill, and information on the measurement value of the rolling mill outlet lower surface temperature indicating the temperature of the lower surface of the steel plate at the outlet of the rolling mill. A temperature control device for steel plate characterized by the above.

5. 3. The temperature control device according to claim 1 or 2, The processor: calculating a learning predicted value of the coiling upper surface temperature and a learning predicted value of the coiling lower surface temperature based on history information of the conveying speed, the rolling setup information, history information of the measured values ​​of the winding machine inlet side upper surface temperature and the winding machine inlet side lower surface temperature, operation record information of the plurality of cooling valves, and the temperature model; A learning value of the temperature model is calculated based on an error between the measured value of the winding machine inlet side upper surface temperature and the predicted value for learning of the winding upper surface temperature, and an error between the measured value of the winding machine inlet side lower surface temperature and the predicted value for learning of the winding lower surface temperature. A temperature control device for steel plate characterized by the above.

6. 3. The temperature control device according to claim 1 or 2, The processor: The amount of water injected into the FF bank group and the FB bank group is controlled by switching the open / close states of the plurality of cooling valves. A temperature control device for steel plate characterized by the above.

7. 3. The temperature control device according to claim 1 or 2, The processor: The amount of water injected into the FF bank group and the FB bank group is controlled by operating a flow rate adjustment valve that adjusts the amount of water injected from the plurality of cooling valves. A temperature control device for steel plate characterized by the above.

8. 1. An apparatus for controlling the temperature of a steel sheet that is cooled by cooling water from first and second cooling bank groups provided downstream of a rolling mill and that is wound by a winder that is provided downstream of the first and second cooling bank groups, A processor for executing various information processing operations is provided. the first cooling bank group includes a first FF bank group representing a cooling bank group for feedforward control and a first FB bank group representing a cooling bank group for feedback control, the second cooling bank group includes a second FF bank group representing a cooling bank group for the feedforward control and a second FB bank group representing a cooling bank group for the feedback control, the first FB bank group is provided downstream of the first FF bank group, the second FF bank group is provided downstream of the first FB bank group, and the second FB bank group is provided downstream of the second FF bank group; The processor: acquire rolling setup information including at least information on a valve pattern related to the opening sequence of a plurality of cooling valves of the first and second cooling bank groups, information on a target value of the coiling temperature of the steel plate, and information on a target value of an intermediate temperature indicating the temperature of the steel plate at an intermediate position between the first FB bank group and the second FF bank group; information on a measured value of a rolling mill delivery temperature indicating the temperature of the steel plate at the delivery side of the rolling mill; information on a measured value of a coiler entry upper surface temperature indicating the temperature of the top surface of the steel plate at the entry side of the coiler; information on a measured value of a coiler entry lower surface temperature indicating the temperature of the bottom surface of the steel plate at the entry side of the coiler; information on a measured value of an intermediate upper surface temperature indicating the temperature of the top surface of the steel plate at the intermediate position; information on a measured value of an intermediate lower surface temperature indicating the temperature of the bottom surface of the steel plate at the intermediate position; and information on the conveying speed of the steel plate, calculating the positions of the segments constituting the steel plate based on the conveying speed; calculating a simplified predicted value of an intermediate upper surface temperature indicating the intermediate temperature on the upper surface of the steel plate and a simplified predicted value of an intermediate lower surface temperature indicating the intermediate temperature on the lower surface of the steel plate based on the rolling setup information and a first temperature model set in advance; calculating intermediate target values ​​indicating target values ​​of first and second control parameters related to the intermediate temperature based on the target value of the intermediate temperature; calculating a first initial water injection amount in the first cooling bank group so that an intermediate target value of the first control index coincides with a simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature; correcting the valve pattern for the first cooling bank group so that an intermediate target value of the second control index coincides with a simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature; calculating a detailed predicted value of the intermediate top face temperature and a detailed predicted value of the intermediate bottom face temperature based on the measured value of the rolling mill delivery temperature, the conveying speed, the rolling setup information, the modified valve pattern for the first cooling bank group, and the first temperature model; calculate a first FF water injection amount indicating the amount of water injected into the first FF bank group so that an intermediate target value of the first control indicator coincides with a detailed predicted value of the first control indicator calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, and so that an intermediate target value of the second control indicator coincides with a detailed predicted value of the second control indicator related to the intermediate temperature calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature; calculate a first FB water injection amount indicating the amount of water injected into the first FB bank group based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, the conveying speed, the rolling setup information, and the corrected valve pattern for the first cooling bank group, so that an intermediate target value of the first control indicator matches an intermediate measured value of the first control indicator calculated based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, and so that an intermediate target value of the second control indicator matches an intermediate measured value of the second control indicator calculated based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, calculating a simplified predicted value of a coiling upper surface temperature indicating the coiling temperature on the upper surface of the steel sheet and a simplified predicted value of a coiling lower surface temperature indicating the coiling temperature on the lower surface of the steel sheet based on the rolling setup information and a second temperature model set in advance; calculating final target values ​​indicating target values ​​of first and second control indexes related to the winding temperature based on the target value of the winding temperature; calculating a second initial amount of water injected in the second cooling bank group so that a final target value of the first control index coincides with a simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; correcting the valve pattern for the second cooling bank group so that a final target value of the second control index coincides with a simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper winding surface temperature and the lower winding surface temperature; calculating a detailed predicted value of the coiling top surface temperature and a detailed predicted value of the coiling bottom surface temperature based on the measured values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, the conveying speed, the rolling setup information, the corrected valve pattern for the second cooling bank group, and the second temperature model; a second FF water injection amount indicating an amount of water injected in the second FF bank group is calculated so that a final target value of the first control indicator coincides with a detailed predicted value of the first control indicator calculated based on the detailed predicted values ​​of the winding upper surface temperature and the winding lower surface temperature, and so that a final target value of the second control indicator coincides with a detailed predicted value of the second control indicator related to the winding temperature calculated based on the detailed predicted values ​​of the winding upper surface temperature and the winding lower surface temperature; calculating a second FB water injection amount indicating the amount of water injected into the second FB bank group based on the measured values ​​of the winding upper surface temperature and the winding lower surface temperature, the conveying speed, the rolling setup information, and the corrected valve pattern for the second cooling bank group, so that a final target value of the first control indicator matches a final measured value of the first control indicator calculated based on the measured values ​​of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, and so that a final target value of the second control indicator matches a final measured value of the second control indicator calculated based on the measured values ​​of the winding machine entry side upper surface temperature and the winding machine entry side lower surface temperature, controlling the amount of water injected into the first FF bank group based on each position of the segment, the first initial water injection amount, and the first FF water injection amount; controlling the amount of water injected into the first FB bank group based on each position of the segment, the first initial water injection amount, and the first FB water injection amount; controlling the amount of water injected into the second FF bank group based on each position of the segment, the second initial water injection amount, and the second FF water injection amount; The amount of water injected into the second FB bank group is controlled based on the positions of the segments, the second initial water injection amount, and the second FB water injection amount. A temperature control device for steel plate characterized by the above.

9. 9. The temperature control device according to claim 8, The processor: calculating a learning predicted value of the intermediate top surface temperature and a learning predicted value of the intermediate bottom surface temperature based on history information of the conveying speed, the rolling setup information, history information of the measurement values ​​of the intermediate top surface temperature and the intermediate bottom surface temperature, operation record information of the plurality of cooling valves, and the first temperature model; calculating a learning value of the first temperature model based on an error between the measurement value of the intermediate upper surface temperature and the predicted value for learning of the intermediate upper surface temperature, and an error between the measurement value of the intermediate lower surface temperature and the predicted value for learning of the intermediate lower surface temperature; calculating a learning predicted value of the coiling upper surface temperature and a learning predicted value of the coiling lower surface temperature based on the conveying speed information, the rolling setup information, information on the measured values ​​of the coiling machine inlet side upper surface temperature and the coiling machine inlet side lower surface temperature, operation record information of the plurality of cooling valves, and the second temperature model; A learning value of the second temperature model is calculated based on an error between the measured value of the winding upper surface temperature and the predicted value for learning of the winding upper surface temperature, and an error between the measured value of the winding lower surface temperature and the predicted value for learning of the winding lower surface temperature. A temperature control device for steel plate characterized by the above.

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