Temperature control device for steel sheet

Abstract

As for the first control index related to the coiling temperature of the steel sheet, four kinds of values, the target value, the simple prediction value, the detailed prediction value, and the measured value are calculated. In addition to this, as for the second control index related to the coiling temperature of the steel sheet, three kinds of values, the target value, the simple prediction value, and the measured value are calculated. The target value of the first control index and the detailed prediction value of the first control index are used for the calculation of the water injection amount (FF water injection amount) in the FF bed group. The target values of the first and second control indexes and the measured values of the first and second control indexes are used for the calculation of the water injection amount (FB water injection amount) in the FB bed group. The water injection amount in the FF bed group is controlled based on each position of the section constituting the steel sheet and the initial water injection amount and the FF water injection amount. In addition, the water injection amount in the FB bed group is controlled based on each position of the section constituting the steel sheet and the initial water injection amount and the FB water injection amount.

Description

Technical Field

[0001] This disclosure relates to an apparatus for controlling the temperature of steel sheets wound by a coiler in a hot rolling line after being cooled by cooling water from a cooling bed assembly. Background Technology

[0002] Among the important properties of hot-rolled steel sheets are strength, ductility, and toughness, which are related to the material properties of the steel sheet. The material properties of the steel sheet are determined by the cooling process on the output roller table (hereinafter referred to as "ROT") located downstream of the hot rolling line. In the ROT, the temperature of the steel sheet during the cooling process is controlled. This control is sometimes referred to as coiling temperature control, which is named after the temperature of the steel sheet during the coiling process that follows the cooling process (i.e., the coiling temperature).

[0003] In the cooling process of ROT (Reverse Ore) steel plates, the following problems exist: the influence of gravity and differences in equipment (e.g., variations in the type and number of manifolds and nozzles, flow rates, and pressures) lead to different cooling effects on the upper and lower surfaces of the steel plate. Furthermore, there is a tendency for thicker steel plates to exhibit slower homogenization due to internal heat conduction. Therefore, in the cooling process of thick steel plates, a temperature difference easily arises between the upper and lower surfaces. This results in a warping phenomenon in the width direction of the steel plate, known as C-shaped warping. In particular, when the upper surface temperature is lower than the lower surface temperature, the two ends in the width direction warp upwards. Consequently, cooling water stagnates on the upper surface of the steel plate, causing a further decrease in its temperature. This results in quality degradation related to the steel plate material and flatness. In addition, the cooling water stagnating on the upper surface of the steel plate hinders accurate temperature measurement, leading to reduced accuracy of temperature control systems using this measurement method.

[0004] Patent Document 1 proposes a technique for altering the supply method of cooling water from multiple cooling beds on a Rotating Area (ROT) based on the location of these cooling beds. Specifically, in Patent Document 1, the ROT is divided into an upstream region and a downstream region. The cooling bed located in the upstream region, facing the lower surface of the steel plate, is controlled in a water-cooled state, while the cooling bed facing the upper surface of the steel plate is controlled in an air-cooled state (i.e., no cooling water is supplied). According to this conventional control, in the upstream region, cooling water can be supplied only to the lower surface of the steel plate. Therefore, the temperature of the lower surface of the steel plate passing through the upstream region can be intentionally reduced, creating a temperature difference between the upper and lower surfaces of the steel plate. Consequently, the formation of upward C-shaped warping can be suppressed.

[0005] Patent Document 2 discloses a control technique for a cooling device comprising a cooling nozzle that supplies cooling water to a steel plate and two thermometers (an upper surface thermometer and a lower surface thermometer) disposed opposite each other downstream of the cooling nozzle. In this conventional control, the difference between the measured 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 the variation of this measured value difference, the temperature difference between the upper and lower surfaces in the uncooled portion of the steel plate is predicted. Then, based on the predicted temperature difference, the ratio of the water injection volume from the cooling nozzle opposite the upper surface of the steel plate (upper surface side cooling nozzle) to the water injection volume from the cooling nozzle opposite the lower surface of the steel plate (lower surface side cooling nozzle) is adjusted.

[0006] Existing technical documents

[0007] Patent documents

[0008] Patent Document 1: Japanese Patent Application Publication No. 2021-186838

[0009] Patent Document 2: Japanese Patent Application Publication No. 2007-090425 Summary of the Invention

[0010] The problem that the invention will solve

[0011] However, in the control method described in Patent Document 1, there is a concern that the temperature difference between the upper and lower surfaces used to suppress upward C-shaped warping may cause downward C-shaped warping, which leads to a decrease in quality related to flatness. Furthermore, controlling the cooling bed opposite the upper surface of the steel plate in the upstream region to be in an air-cooled state means that the cooling rate of the steel plate in that region is limited. Therefore, it is difficult to manufacture a material that is rapidly cooled on the upstream side within the ROT, a process known as gradual cooling. Moreover, controlling the cooling bed opposite the lower surface of the steel plate in the upstream region to be in a water-cooled state means that only the lower surface of the steel plate in that region is rapidly cooled. Therefore, there is a risk of material inhomogeneity between the upper and lower surfaces of the steel plate.

[0012] The control method described in Patent Document 2 does not consider changes in the temperature of the steel plate at the inlet side of the cooling device or the conveying speed of the steel plate. Therefore, a feedforward control function that corrects for changes in conditions (e.g., inlet side temperature, conveying speed) during preset calculations, where the temperature difference between the upper and lower surfaces is a problem, is not applicable. Furthermore, when there is a discrepancy in the water cooling efficiency between the upper and lower surfaces, correcting the water injection ratio causes changes in the average temperature of the upper and lower surfaces, respectively. Therefore, while reducing the temperature difference between the upper and lower surfaces is possible, there is a problem that, despite changes in the average temperature of the steel plate as the original purpose of temperature control, this average temperature cannot be adjusted to an appropriate range.

[0013] This disclosure was made to solve the above-mentioned problems, and provides a technology that can improve the quality of steel sheets cooled by cooling water from a cooling bed and wound by a coiler, as well as the material properties and flatness.

[0014] Methods for solving problems

[0015] The first aspect of this disclosure is an apparatus for controlling the temperature of a steel sheet cooled by cooling water from a cooling bed assembly located downstream of a rolling mill and coiled by a coiler located downstream of the cooling bed assembly, having the following features.

[0016] The device includes a processor configured to perform various information processing tasks.

[0017] The cold bed group includes the FF bed group, which represents a cold bed group for feedforward control, and the FB bed group, which represents a cold bed group for feedback control.

[0018] The processor is configured such that,

[0019] The system acquires rolling installation information, including at least valve mode information related to the opening sequence of the multiple cooling valves in the cooling bed assembly and information on the target value of the coiling temperature of the steel plate; measured values ​​of the rolling mill exit-side temperature, indicating the temperature of the steel plate at the exit side of the rolling mill; measured values ​​of the coiling machine inlet-side upper surface temperature, indicating the temperature of the upper surface of the steel plate at the inlet side of the coiling machine; measured values ​​of the coiling machine inlet-side lower surface temperature, indicating the temperature of the lower surface of the steel plate at the inlet side of the coiling machine; and information on the conveying speed of the steel plate.

[0020] Based on the conveying speed, calculations are performed on the positions of each section constituting the steel plate.

[0021] Based on the rolling installation information and the pre-set temperature model, simplified predicted values ​​of the coiling upper surface temperature (representing the coiling temperature of the upper surface of the steel plate) and the coiling lower surface temperature (representing the coiling temperature of the lower surface of the steel plate) are calculated.

[0022] Based on the target value of the winding temperature, the target values ​​of the first control index and the second control index related to the winding temperature are calculated.

[0023] The initial water injection volume in the FF bed group and the FB bed group is calculated to ensure that the target value of the first control index is consistent with the simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the upper surface temperature and the lower surface temperature of the winding.

[0024] The valve mode is modified so that the target value of the second control index is consistent with the simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper and lower surface temperatures of the winding.

[0025] Based on the measured temperature at the mill exit side, the conveying speed, the rolling installation information, the corrected valve mode, and the temperature model, detailed predicted values ​​for the upper and lower surface temperatures of the coil are calculated.

[0026] The FF injection volume, representing the injection volume in the FF bed assembly, is calculated to ensure that the target value of the first control index is consistent with the detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the upper and lower surface temperatures of the winding.

[0027] Based on the measured values ​​of the upper and lower surface temperatures at the coiler inlet, the conveying speed, the rolling installation information, and the corrected valve mode, the FB water injection volume, representing the water injection amount in the FB bed, is calculated so that the target value of the first control index is consistent with the measured value of the first control index calculated based on the measured values ​​of the upper and lower surface temperatures at the coiler inlet, and the target value of the second control index is consistent with the measured value of the second control index calculated based on the measured values ​​of the upper and lower surface temperatures at the coiler inlet.

[0028] The water injection volume in the FF bed group is controlled based on the location of each section, the initial water injection volume, and the FF water injection volume.

[0029] The water injection volume in the FB bed group is controlled based on the location of each section, the initial water injection volume, and the FB water injection volume.

[0030] The second aspect of this disclosure is a device for controlling the temperature of steel sheets cooled by cooling water from first and second cooling bed groups located downstream of the rolling mill and coiled by coilers located downstream of the first and second cooling bed groups, having the following features.

[0031] The device includes a processor configured to perform various information processing tasks.

[0032] The first cold bed group includes a first FF bed group representing a cold bed group for feedforward control and a first FB bed group representing a cold bed group for feedback control.

[0033] The second cold bed group includes a second FF bed group representing the cold bed group for feedforward control and a second FB bed group representing the cold bed group for feedback control.

[0034] A first FB bed group is disposed downstream of the first FF bed group, and a second FF bed group is disposed downstream of the first FB bed group. A second FB bed group is disposed downstream of the second FF bed group.

[0035] The processor is configured such that,

[0036] The system acquires rolling installation information including at least valve mode information related to the opening sequence of multiple cooling valves in the first and second cooling bed groups, target value of the coiling temperature of the steel plate, and target value of the intermediate temperature of the steel plate at the intermediate position between the first FB bed group and the second FF bed group; measured value of the rolling mill exit side temperature of the steel plate at the exit side of the rolling mill; measured value of the coiler inlet side upper surface temperature of the steel plate at the inlet side of the coiler; measured value of the coiler inlet side lower surface temperature of the steel plate at the inlet side of the coiler; measured value of the intermediate upper surface temperature of the steel plate at the intermediate position; measured value of the intermediate lower surface temperature of the steel plate at the intermediate position; and information on the conveying speed of the steel plate.

[0037] Based on the conveying speed, calculations are performed on the positions of each section constituting the steel plate.

[0038] Based on the rolling installation information and a pre-set first temperature model, simplified predicted values ​​for the intermediate upper surface temperature (representing the intermediate temperature of the upper surface of the steel plate) and the intermediate lower surface temperature (representing the intermediate temperature of the lower surface of the steel plate) are calculated.

[0039] Based on the target value of the intermediate temperature, intermediate target values ​​representing the target values ​​of the first and second control indicators related to the intermediate temperature are calculated.

[0040] The initial water injection volume in the first cooling bed group is calculated to ensure that the intermediate target value of the first control index is consistent with the 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.

[0041] The valve mode for the first cooling bed is modified so that the intermediate target value of the second control index is consistent with the 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.

[0042] Based on the measured temperature at the mill exit side, the conveying speed, the rolling installation information, the corrected valve mode for the first cooling bed group, and the first temperature model, detailed predicted values ​​for the intermediate upper surface temperature and the intermediate lower surface temperature are calculated.

[0043] The first FF injection volume, representing the injection volume in the first FF bed group, is calculated to ensure that the intermediate target value of the first control index is consistent with the detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, and that the intermediate target value of the second control index is consistent with the detailed predicted value of the second control index related to the intermediate temperature calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature.

[0044] Based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, the conveying speed, the rolling installation information, and the corrected valve mode regarding the first cooling bed group, a first FB water injection volume representing the water injection volume in the first FB bed group is calculated, so that the intermediate target value of the first control index is consistent with the intermediate measured value of the first control index calculated based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, and the intermediate target value of the second control index is consistent with the intermediate measured value of the second control index calculated based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature.

[0045] Based on the rolling installation information and the pre-set second temperature model, simplified predicted values ​​of the coiling upper surface temperature (representing the coiling temperature of the upper surface of the steel plate) and the coiling lower surface temperature (representing the coiling temperature of the lower surface of the steel plate) are calculated.

[0046] Based on the target value of the winding temperature, the final target value representing the target values ​​of the first and second control indicators related to the winding temperature is calculated.

[0047] The second initial water injection volume in the second cooling bed group is calculated so that the final target value of the first control index is consistent with the simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the upper surface temperature and the lower surface temperature of the winding.

[0048] The valve mode for the second cooling bed is modified so that the final target value of the second control index is consistent with the simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper and lower surface temperatures of the winding.

[0049] Based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, the conveying speed, the rolling installation information, the corrected valve mode for the second cooling bed, and the second temperature model, detailed predicted values ​​for the coiling upper surface temperature and the coiling lower surface temperature are calculated.

[0050] The second FF injection volume, representing the injection volume in the second FF bed, is calculated to ensure that the final target value of the first control index is consistent with the detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the upper and lower surface temperatures of the winding, and that the final target value of the second control index is consistent with the detailed predicted value of the second control index related to the winding temperature calculated based on the detailed predicted values ​​of the upper and lower surface temperatures of the winding.

[0051] Based on the measured values ​​of the upper and lower surface temperatures of the coiler, the conveying speed, the rolling installation information, and the corrected valve mode regarding the second cooling bed group, a second FB water injection volume representing the water injection volume in the second FB bed group is calculated to ensure that the final target value of the first control index is consistent with the final measured value of the first control index calculated based on the measured values ​​of the upper and lower surface temperatures of the coiler inlet side, and that the final target value of the second control index is consistent with the final measured value of the second control index calculated based on the measured values ​​of the upper and lower surface temperatures of the coiler inlet side.

[0052] The water injection volume in the first FF bed group is controlled based on the location of each section, the first initial water injection volume, and the first FF water injection volume.

[0053] The water injection volume in the first FB bed group is controlled based on the location of each section, the first initial water injection volume, and the first FB water injection volume.

[0054] The water injection volume in the second FF bed group is controlled based on the location of each section, the second initial water injection volume, and the second FF water injection volume.

[0055] The water injection volume in the second FB bed group is controlled based on the location of each section, the second initial water injection volume, and the second FB water injection volume.

[0056] Invention Effects

[0057] According to the first viewpoint, the first control index related to the coiling temperature of the steel sheet comprises four values: calculated target value, simplified predicted value, detailed predicted value, and measured value. In addition, the second control index related to the coiling temperature of the steel sheet comprises three values: calculated target value, simplified predicted value, and measured value.

[0058] The target value and simplified predicted value of the first control indicator are used to calculate the initial injection volume in the FF and FB bed groups. Specifically, the initial injection volume is calculated to ensure that the target value and simplified predicted value of the first control indicator are consistent. The target value and simplified predicted value of the second control indicator are used to correct the valve mode related to the opening sequence of the FF and FB bed groups. Specifically, the valve mode is corrected to ensure that the target value and simplified predicted value of the second control indicator are consistent.

[0059] The target value and detailed predicted value of the first control indicator are used to calculate the injection volume (FF injection volume) in the FF bed group. Specifically, the FF injection volume is calculated to ensure that the target value and detailed predicted value of the first control indicator are consistent. The target values ​​and measured values ​​of the first and second control indicators are used to calculate the injection volume (FB injection volume) in the FB bed group. Specifically, the FB injection volume is calculated to ensure that the target value and measured value of the first control indicator are consistent, and that the target value and measured value of the second control indicator are consistent.

[0060] According to the first viewpoint, the water injection volume in the FF bed group is controlled based on the location of each section constituting the steel plate, the initial water injection volume, and the FF water injection volume. Similarly, the water injection volume in the FB bed group is controlled based on the location of each section constituting the steel plate, the initial water injection volume, and the FB water injection volume. Thus, according to the first viewpoint, the water injection volume from the FF and FB bed groups 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, the quality related to the material and flatness of the steel plate can be improved.

[0061] According to the second viewpoint, in a cooling bed configuration comprising first and second FF bed groups and first and second FB bed groups, calculations are performed with the same purpose as those performed in the first viewpoint regarding the initial water injection volume, FF water injection volume, and FB water injection volume. Therefore, according to the second viewpoint, the water injection volumes from the first and second FF bed groups and from the first and second FB bed groups 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 values ​​of the first control indicator, and the measured values ​​of the first and second control indicators. Thus, the same effect as that achieved by the first viewpoint can be obtained. Attached Figure Description

[0062] Figure 1 This is a diagram illustrating an example of the configuration of a hot rolling line to which the temperature control device of the first embodiment is applicable.

[0063] Figure 2 This is a diagram showing an example of the configuration of a cooling bed installed in a cooling device.

[0064] Figure 3 This is a diagram representing an example of a valve pattern.

[0065] Figure 4 This is a diagram illustrating an example of the functional configuration of the temperature control device according to the first embodiment.

[0066] Figure 5 This is a diagram illustrating the FF control and arithmetic unit and the FB control and arithmetic unit.

[0067] Figure 6 This is a flowchart illustrating an example of the processing related to the operation of the correction valve mode executed by the setting calculation unit.

[0068] Figure 7 This is a flowchart illustrating an example of the processing related to the calculation of the opening and closing state of the valve of the cutting plate of interest, performed by the FF control calculation unit.

[0069] Figure 8 This is a diagram showing the control module that performs FB control by the FB control arithmetic unit.

[0070] Figure 9 This is a diagram illustrating an example of how the valve's open and closed states are calculated.

[0071] Figure 10 This is a diagram illustrating an example of the configuration of a hot rolling line to which the temperature control device of the third embodiment is applicable.

[0072] Figure 11 This diagram illustrates an example of the configuration of a hot rolling line to which the temperature control device of the fourth embodiment is applicable and an example of the functional configuration of the temperature control device.

[0073] Figure 12 This is a diagram illustrating an example of the configuration of the cooling bed in the fourth embodiment.

[0074] Figure 13 This is a diagram showing an example of the configuration of the cooling bed in the fifth embodiment. Detailed Implementation

[0075] Hereinafter, the temperature control device for the steel plate according to the embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Furthermore, common elements are labeled with the same reference numerals in the various figures, and repeated descriptions are omitted.

[0076] 1. First Implementation Method

[0077] 1-1. Example of hot rolling line construction

[0078] Figure 1 This is a diagram illustrating an example of the configuration of a hot rolling line to which the temperature control device of the first embodiment is applicable. Figure 1 The text describes the structure from the finishing mill 5 to the coiler 7 in the hot rolling line. Figure 1 In the example shown, steel plate (strip) 1 is conveyed along direction DR. After passing through the final stand of the finishing mill 5, the steel plate 1 is wound by the coiler 7 via the cooling device 10 and clamping rolls 6 within the ROT. The cooling device 10 is equipped with cooling beds B1 to B2. N (N is a natural number greater than 2). Here, steel plate 1 is divided into M sections along its length at predetermined intervals, called "cutting plates CP" (see reference). Figure 5 The discrete units (segments) are managed, and various measurements and controls are performed on each cutting plate CP.

[0079] exist Figure 1 The diagram also depicts a finishing exit side thermometer 2, a coiler inlet side upper surface thermometer 3, and a coiler inlet side lower surface thermometer 4. The finishing exit side thermometer 2 measures the temperature of the steel plate 1 directly below it (hereinafter also referred to as "finishing exit side temperature T"). FDT "or temperature T" FDT "), and the measured value T FDTact Output to temperature control device 20. The upper surface temperature gauge 3 on the inlet side of the coiler measures the upper surface temperature of the steel plate 1 directly below it (hereinafter also referred to as "coiling upper surface temperature T"). top CT "or temperature T" top CT ”), to measure the value top CTact Output to temperature control device 20. The lower surface temperature gauge 4 on the inlet side of the coiler measures the temperature of the lower surface of the steel plate 1 directly above it (hereinafter also referred to as "coiling lower surface temperature T").bot CT "or temperature T" bot CT ”), to measure the value bot CTact Output to temperature control device 20.

[0080] exist Figure 1 The image also depicts an installation device 40. Based on the specifications of the steel plate 1 provided from a host computer (not shown), the installation device 40 calculates the information required for the cooling and coiling processes (e.g., plate thickness, plate width, temperature T)... top CT Target value T top CTref Temperature T bot CT Target value T bot CTref Pre-set valve modes, etc. (Hereinafter referred to as "rolling installation information"). The calculation of the rolling installation information is based on calculations using a mathematical model, indexes of pre-set table values, and input from operators. The calculation result of the rolling installation information is output to the temperature control device 20. Additionally, the target value T... top CTref And T bot CTref It can also be the target value of the first and second control indicators, which will be discussed later.

[0081] Temperature control device 20 is equivalent to the temperature control device of this disclosure. Temperature control device 20 is a computer having at least one processor 20a and at least one memory 20b. Various information obtained from the hot rolling line is stored in memory 20b. The various information stored in memory 20b includes the measured value T. FDTact Measured value T top CTact and the measured value T bot CTact Temperature information. This information also includes data from the cooling bed B1 to B... N The obtained information includes actual valve operation information, rolling speed of steel plate 1 output from the final stand of finishing mill 5, and coiling speed of steel plate 1 output from coiler 7.

[0082] The various information stored in memory 20b also includes calculation results such as the conveying speed of steel plate 1 calculated based on at least one of rolling installation information, rolling speed, and coiling speed. Processor 20a calculates the cooling beds B1 to B2 based on the various information stored in memory 20b. N The open / closed states of the multiple valves are determined, and these valves are operated according to the calculation results.

[0083] 1-2. Examples of the composition of a cooling bed

[0084] Figure 2 This is a diagram showing an example of the configuration of the cooling bed installed in the cooling equipment 10. Figure 2 The cooling bed B shown i (1≤i≤N) is a tubular laminar flow cooling bed. Cooling bed B i Equipped with cooling bed B i The cooling equipment 10 has upper surface cooling manifolds 12a-12d and lower surface cooling manifolds 15a-15d arranged along its length. The upper surface cooling manifolds 12a-12d are located in the upper space of the cooling equipment 10. The lower surface cooling manifolds 15a-15d are located in the lower space of the cooling equipment 10. Furthermore, the total number of upper surface cooling manifolds 12a-12d and the total number of lower surface cooling manifolds 15a-15d are not particularly limited; each may be one or more.

[0085] The upper surface cooling manifolds 12a-12d are respectively connected to the upper surface cooling valves 11a-11d. The lower surface cooling manifolds 15a-15d are respectively connected to the lower surface cooling valves 14a-14d. The upper surface cooling valves 11a-11d and the lower surface cooling valves 14a-14d are part of the cooling bed B. i Hereinafter, without particularly distinguishing between the upper surface cooling valves 11a to 11d, they will be referred to as "upper surface cooling valve 11", and without particularly distinguishing between the lower surface cooling valves 14a to 14d, they will be referred to as "lower surface cooling valve 14".

[0086] The opening and closing states of the upper surface cooling valve 11 and the lower surface cooling valve 14 are controlled respectively based on commands from the temperature control device 20. If the upper surface cooling valve 11a is open, cooling water is sprayed from the plurality of upper surface cooling nozzles 13a provided on the upper surface cooling manifold 12a. If the upper surface cooling valves 11b to 11d are open, cooling water is sprayed from the plurality of upper surface cooling nozzles 13b to 13d respectively. If the lower surface cooling valve 14a is open, cooling water is sprayed from the plurality of lower surface cooling nozzles 16a provided on the lower surface cooling manifold 15a. If the lower surface cooling valves 14b to 14d are open, cooling water is sprayed from the plurality of lower surface cooling nozzles 16b to 16d respectively. Furthermore, Figure 2 The illustrated laminar flow configuration is an example. This disclosure applies to any cooling bed that has a configuration that allows adjustment of the water injection volume in the upper and lower spaces of the cooling device 10.

[0087] Cold bed B1~B N The opening and closing states of the multiple valves (i.e., the upper surface cooling valve 11 and the lower surface cooling valve 14) are determined based on a valve mode (valve priority) related to the opening sequence of these valves, so as to control the coiling temperature of the steel sheet 1 (i.e., temperature T). topCT And T bot CT ) and the target value (i.e., the target value T) top CTref And T bot CTref Consistent. Figure 3 This is a diagram representing an example of a valve pattern. Figure 3 The valve pattern shown is an example of the preset valve pattern contained in the rolling installation information (referring to the valve pattern preset corresponding to steel plate 1. The same applies hereinafter). In this example, for cooling bed B... N And B N－1 All valves are assigned numbers from "1" to "32". These numbers indicate the opening sequence.

[0088] 1-3. Example of the functional composition of a temperature control device

[0089] While referring to Figure 4 The functional configuration example of the temperature control device in the first embodiment will be explained. For example... Figure 4 As shown, 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, an 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 achieved, for example, by... Figure 1 The processor 20a shown executes a predetermined program stored in the memory 20b to achieve this. Furthermore, an overview of the function of the temperature control device 20 is given here; details regarding the processing performed by the temperature control device 20 will be described later.

[0090] The index value calculation unit 21 uses the target value T top CTref And T bot CTref The first control index T1 is calculated using a pre-defined coefficient matrix. CT Target value T1 CTref With the second control index T2 CT Target value T2 CTref Target value T1 CTref and T2 CTref The values ​​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. Additionally, the target value T1 is directly provided from the mounting device 40. CTref and T2 CTref In such cases, these target values ​​can also be output directly.

[0091] The tracking calculation unit 22 calculates the positions of the cutting plate CP based on the conveying speed of the steel plate 1 in the ROT. The calculation results of each position of the cutting plate CP are output to the valve control unit 28 for timing management of valve operation. The calculation results are also output to the FF control calculation unit 24 and the FB control calculation unit 25 for control calculation purposes. The conveying speed of the steel plate 1 is the rolling speed obtained from the final stand of the finishing mill 5, the coiling speed obtained from the coiler 7, or the average of the rolling speed and the coiling speed. In addition, regarding the rolling speed, it is desirable to obtain the forward slip ratio of the final stand of the finishing mill 5 from the mounting device 40 and correct it to the conveying speed on the exit side of the finishing mill 5. The rolling speed can also be the value directly measured by a speedometer installed in the cooling equipment 10 or similar equipment. In the following description, it is assumed that the average of the rolling speed and the coiling speed is the conveying speed.

[0092] The setting calculation unit 23 sets the valve mode and target value T1 based on the rolling installation information. CTref and T2 CTref The calculation corrects the valve mode (referring to the corrected set valve mode; the same applies below) and the initial valve opening and closing state. Here, "initial" refers to the period before FF or FB control begins. Examples of calculations for correcting the valve mode and the initial valve opening and closing state will follow later. Figure 6 As described in the description. The calculation results of the corrected valve mode and the initial opening and 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.

[0093] While referring to Figure 5 The FF control calculation unit 24 and the FB control calculation unit 25 will be described separately. In the first embodiment, the cooling beds B1 to B1... N Including the cold beds B1 to B, which are controlled by FF. j (1≤j≤N-1) and the cold bed B of the object controlled by FB. j+1 ~B N .exist Figure 5 In the example shown, cooling beds B1 to B j Located upstream of cooling equipment 10, cooling bed B j+1 ~B N Located downstream of cooling equipment 10. Cooling bed B1~B j And cold bed B j+1 ~B N For example, it is set based on rolling mill installation information. Hereinafter, without special distinction between cooling beds B1 to B... j In this case, they are generally referred to as "FF beds," without specifically distinguishing them from cold beds (B). j+1 ~B N In such cases, they are collectively referred to as "FB beds".

[0094] The FF control and calculation unit 24 is based on rolling installation information, conveying speed, and measured value T. FDTact The valve mode and temperature model calculations are performed on the opening and closing states of multiple valves in the FF bed to optimize the cooling process of the cutting plate CP (e.g., the cutting plate CP located on the inlet side of the cooling device 10), which is the object to be cooled. The calculation results of the opening and closing states are output to the valve control unit 28. The temperature model is, for example, expressed by the following equation (1).

[0095]

Formula 1

[0096]

[0097] In equation (1), T top CTprd The temperature of the upper surface of the winding is T. top CT The predicted value (detailed predicted value), T bot CTprd It is the temperature of the lower surface of the winding, T. bot CT The predicted values ​​(detailed predicted values). X1, X2, ..., X N These include parameters such as rolling installation information, conveying speed, and valve opening / closing status. top CT It is related to the temperature T of the upper surface of the winding. top CT The relevant learning value, z bot CT It is related to the surface temperature T of the winding. bot CT Related learning values.

[0098] From the right side of equation (1), it can be understood that the function f is the input temperature T for a cutting plate CP. top FDT And T bot FDT The system combines various parameters such as rolling installation information with learned values ​​and outputs the predicted value T. top CTprd And T bot CTprd A multi-input multi-output function. Furthermore, in the first embodiment, it is assumed that the measured value T... top FDTact And T bot FDTact With the measured value T FDTact Equal to these values, the measured value T FDTact It is input into equation (1).

[0099] The FB control and calculation unit 25 is based on rolling installation information, conveying speed, and measured value T. FDTactThe correction valve mode operation calculates the opening and closing states of multiple valves in the FB bed to adjust the cooling state of the cutting plate CP (e.g., located in the cooling bed B). Bj With cold bed B j+1 The cooling process of the cutting plate (CP) between them is optimized. The calculation results of the opening and closing states are output to the valve control unit 28.

[0100] The learning value calculation unit 26 calculates and corrects the predicted value (i.e., the predicted value T) calculated using the temperature model. top CTprd And T bot CTprd ) and the actual measured value (i.e., the measured value T) top CTact And T bot CTact The learning value of the error (i.e., the learning value z) top CT and z bot CT The learned values ​​are updated, for example, after the cooling equipment 10 cools the steel plate 1. In this case, the historical information of the predicted and measured values, along with the rolling installation information of the steel plate 1, the historical information of the conveying speed of the steel plate 1, and the actual operating information of the multiple valves of the FF bed and FB bed during the cooling of the steel plate 1, are temporarily stored in the memory 20b.

[0101] In another example, the learning value is updated during the cooling process of the steel plate 1 by the cooling device 10. When the learning value is updated during the cooling process of the steel plate 1, a learning value for the same steel plate 1 is calculated based on historical information regarding the predicted and measured values ​​of the steel plate 1. In this case, the historical information of the predicted and measured values ​​up to the calculation of the learning value, the rolling installation information of the steel plate 1, the historical information of the conveying speed of the steel plate 1 up to the calculation of the learning value, and the actual operating information of the multiple valves of the FF and FB beds up to the calculation of the learning value are temporarily stored together in the memory 20b.

[0102] 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 installation information.

[0103] The valve control unit 28 adjusts the water injection volume by opening and closing multiple valves (i.e., upper surface cooling valve 11 and lower surface cooling valve 14) of the FF bed and FB bed based on information about the position of the cutting plate CP of the steel plate 1 being conveyed on the ROT, information about the conveying speed of the steel plate 1, and information about the opening and closing status of the valves in each cooling process of the cutting plate CP.

[0104] 1-4. First and Second Control Indicators

[0105] The calculations performed in the setting calculation unit 23, the FF control calculation unit 24, and the FB control calculation unit 25 use the target value T1. CTref and T2 CTref To proceed. As already described, the target value T1 CTref and T2 CTref The calculation is performed in the index value calculation unit 21. Target value T1 CTref and target value T2 CTref The operation is performed according to the following formulas (2) to (4).

[0106]

Formula 2

[0107]

[0108]

Formula 3

[0109]

[0110]

Formula 4

[0111]

[0112] In equations (2) to (4), a1, b1, a2, and b2 are used to allocate the winding surface temperature T. top CT and the surface temperature T of the winding bot CT The coefficients. Coefficients a1, b1, a2, and b2 are preset. However, these coefficients are set to make the coefficient matrix A shown in equation (4) regular. In the following explanation, the case of coefficients (a1, b1, a2, b2) = (1, 0, 1, -1) is explained, that is, the first control index T1. CT For temperature T top CT And the second control index T2 CT For temperature T top CT With temperature T bot CT The difference is considered, but the combination of coefficients (a1, b1, a2, b2) is not limited to this example. Additionally, the second control index T2... CT In comparison, the first control indicator T1 CT It is easier to control variations along the entire length of steel plate 1. Therefore, it is desirable to control the temperature T. top CT Or temperature T top CT With temperature T bot CT The average value is set as the first control index T1 CT .

[0113] The index value calculation unit 21 calculates the target value T1 CTref and target value T2 CTref The values ​​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.

[0114] 1-5. Examples of temperature control device processing

[0115] The processing 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 is described in detail. The processing of these functional units includes setting processing, control processing, and learning processing. Setting processing is performed before the initial (front-end) cutting plate CP of the steel plate 1 reaches the position of the finishing exit side thermometer 2. Control processing begins after the initial cutting plate CP reaches the position of the finishing exit side thermometer 2. Furthermore, control processing ends after the final (tail-end) cutting plate CP of the steel plate 1 reaches the position of the coiler inlet side upper surface thermometer 3 (or, the coiler inlet side lower surface thermometer 4). Learning processing begins after the final cutting plate CP reaches the position of the coiler inlet side upper surface thermometer 3 (or, the coiler inlet side lower surface thermometer 4). Learning processing can also begin after the initial cutting plate CP reaches the position of the coiler inlet side upper surface thermometer 3 (or, the coiler inlet side lower surface thermometer 4).

[0116] At the start of the setting process, rolling installation information is provided from the installation device 40 to the setting calculation unit 23. This rolling installation information includes the setting valve mode and the setting conveying speed (a conveying speed pre-set corresponding to the steel plate 1). Additionally, the target value T1 is provided from the index value calculation unit 21 to the setting calculation unit 23. CTref and T2 CTref The calculation unit 23 is configured to operate in a correction valve mode, ensuring that the target value T2 is achieved regardless of the number of open valves (open state valves). CTref The arithmetic unit 23 is configured to simultaneously achieve the target value T1. CTref The initial number of valves to open.

[0117] Figure 6 This is a flowchart illustrating an example of processing related to the operation of the correction valve mode executed by the setting arithmetic unit 23 (processor 20a). Figure 6 In the example shown, firstly, the rolling installation information of steel plate 1 and the information of the learning value corresponding to steel plate 1 are read in (step S10). Next, based on the set valve mode and the number of valves to be opened as a temporary setting for repeated calculation, the opening and closing state of the valve is determined (step S11).

[0118] Following step S11, the surface temperature T of the coil is calculated. top CT The predicted value (simple predicted value) T top CTprd With the lower surface temperature T of the winding bot CT The predicted value (simple predicted value) T bot CTprd (Step S12). Simplified predicted value T top CTprd And T bot CTprd The calculation is performed by applying the rolling installation information read in step S10 and the measured values ​​obtained from the finishing exit temperature gauge 2 in the temperature model of the above equation (1). FDTact These parameters are used for execution.

[0119] Following step S12, the first control index T1 is calculated. CT The predicted value (simple predicted value) T1 CTprd With the second control index T2 CT The predicted value (simple predicted value) T2 CTprd (Step S13). Simplified predicted value T1 CTprd and T2 CTprd The calculation is performed by applying the simplified prediction value T calculated in step S12 using equations (2) and (3) above. top CTprd And T bot CTprd To proceed.

[0120] Following step S13, the first control index T1 is calculated. CT The evaluation function J1 is used (step S14). The evaluation function J1 is calculated using, for example, the following equation (5). Additionally, the predicted value T1 on the right-hand side of the following equation (5) is... CTprd The value calculated in step S13 is used. On the other hand, the target value T1... CTref The value is used from the index value calculation unit 21.

[0121]

Formula 5

[0122]

[0123] Following step S14, it is determined whether the evaluation function J1 meets the first termination condition (step S15). The first termination condition is determined, for example, based on whether the evaluation function J1 falls within a pre-defined range. If the first termination condition is not met, the number of valves opened is changed (step S16), and the process of step S11 is performed. That is, steps S11 to S16 are repeated until the first termination condition is met. The number of valves opened is changed, for example, by increasing the number when the evaluation function J1 is positive and decreasing the number when the evaluation function J1 is negative.

[0124] If the first termination condition is met, the second control index T2 is calculated. CT The evaluation function J2 (step S17). The following equation (6) is used, for example, in the calculation of the evaluation function J2. Additionally, the predicted value T2 on the right-hand side of the following equation (6) is... CTprd The value calculated in step S13 is used. On the other hand, the target value T2... CTref The value is used from the index value calculation unit 21.

[0125]

Formula 6

[0126]

[0127] Following step S17, it is determined whether the evaluation function J2 meets the second termination condition (step S18). The second termination condition is determined, for example, based on whether the evaluation function J2 falls within a pre-set range. If the second termination condition is not met, the valve mode is changed (step S19), and the process of step S12 is performed. That is, the processes of steps S12 to S19 are repeated until the second termination condition is met. The valve mode is changed, for example, by reassigning the opening sequence to rapidly increase the water injection volume in a specific area without rapid cooling, and by changing the ratio of the number of open valves of the upper surface cooling valve 11 to the number of open valves of the lower surface cooling valve 14 in each cooling bed or in a pre-set cooling bed group.

[0128] If the second termination condition is met, the valve mode at which the second termination condition is met is set to the corrected valve mode, and the number of open valves is set to the initial number of open valves. This information is output to the FF control calculation unit 24 and the FB control calculation unit 25. In addition, the valve opening and closing status information calculated based on the corrected valve mode and the initial number of open valves is output to the valve control unit 28.

[0129] During the execution of the setting process, the FF control calculation unit 24 obtains the rolling installation information of the steel plate 1 from the mounting device 40. The FF control calculation unit 24 also obtains the target value T1 from the index value calculation unit 21. CTref and T2 CTrefThe FF control calculation unit 24 further obtains information about the learning value corresponding to the steel plate 1 from the learning value storage unit 27. The FF control calculation unit 24 also obtains information about the correction valve mode and the initial number of valves opened from the setting calculation unit 23.

[0130] During the execution of the control process, the FF control calculation unit 24 obtains the measured value T of the cutting plate CP from the finishing exit side temperature gauge 2 each time. FDTact At that time, the opening and closing states of the valves in the FF bed are calculated. The calculation results of the opening and closing states are output to the valve control unit 28.

[0131] Figure 7 This refers to the cutting board CP executed by the FF control arithmetic unit 24 (processor 20a) for the object of interest. tgt A flowchart illustrating an example of the processing related to the calculation of the valve's open and closed states. Figure 7 In the example shown, firstly, the rolling installation information of steel plate 1, the learning value information corresponding to steel plate 1, the correction valve mode information, and the measured value T are read in. FDTact Information, information on the conveying speed of steel plate 1, and information on the CP cutting plate. tgt Information on the number of open valves on the cutting plate CP in the previous partition (step S20). Additionally, information on the number of open valves on the cutting plate CP... tgt In the case of a front-end cutting plate CP, when targeting a cutting plate CP... tgt The information on the number of open valves in the cutting plate CP of the previous partition uses the information on the initial number of open valves.

[0132] Following step S20, the processing is based on the correction valve mode of the FF bed and the comparison cutting plate CP. tgt The number of valves open on the cutting plate CP in the previous partition determines the number of valves available for the cutting plate CP. tgt The opening and closing status of the valve (step S21).

[0133] Following step S21, the surface temperature T of the coil is calculated. top CT The predicted value (detailed predicted value) T top CTprd With the lower surface temperature T of the winding bot CT The predicted value (detailed predicted value) T bot CTprd (Step S22). Detailed predicted value T top CTprd And T bot CTprdThe calculation is performed by applying the rolling installation information read in step S20 and the measured value T obtained from the finishing exit temperature gauge 2 in the temperature model of the above equation (1). FDTact These parameters are used for execution.

[0134] Following step S22, the first control index T1 is calculated. CT Predicted value (detailed predicted value) T1 CTprd With the second control index T2 CT Predicted values ​​(detailed predicted values) T2 CTprd (Step S23). Detailed predicted value T1 CTprd and T2 CTprd The calculation is performed by applying the detailed predicted value T calculated in step S22 to the variables on the right-hand side of equations (2) and (3) above. top CTprd And T bot CTprd To proceed.

[0135] Following step S23, the first control index T1 is calculated. CT The evaluation function J3 (step S24). In the calculation of the evaluation function J3, for example, the following equation (7) is used. Additionally, the predicted value T1 on the right-hand side of the following equation (7) is... CTprd The value calculated in step S23 is used. On the other hand, the target value T1... CTref The value is used from the index value calculation unit 21.

[0136]

Formula 7

[0137]

[0138] Following step S24, it is determined whether the evaluation function J3 meets the termination condition (step S25). This termination condition is determined, for example, based on whether the evaluation function J3 falls within a pre-defined range. If the termination condition is not met, the number of valves opened is changed based on the evaluation function J3 (step S26), and the process of step S21 is performed. That is, steps S21 to S26 are repeated until the termination condition is met. The change in the number of valves opened based on the evaluation function J3 is performed, for example, by increasing the number of valves opened by one each time until the evaluation function J3 changes from a positive value to a negative value.

[0139] If the termination condition is determined to be met, the valve control unit 28 outputs a CP for the cutting plate when the termination condition is met. tgt Information on the open / closed state of the valves. Additionally, information on the number of valves open when the termination condition is met is needed for calculations targeting the CP cutting plate. tgtThe opening and closing status of the valve on the next partition cutting plate CP is stored.

[0140] During the execution of the setting process, the FB control calculation unit 25 obtains the rolling installation information of the steel plate 1 from the mounting device 40. The FB control calculation unit 25 also obtains the target value T1 from the index value calculation unit 21. CTref and T2 CTref The FB control calculation unit 25 further obtains information about the learning value corresponding to the steel plate 1 from the learning value storage unit 27. The FB control calculation unit 25 also obtains information about the correction valve mode and the initial number of valves opened from the setting calculation unit 23.

[0141] During the execution of the control process, the FB control calculation unit 25 obtains the measured value T of the cutting plate CP of the steel plate 1 from the finishing exit side thermometer 2 each time. FDTact At that time, the opening and closing states of the valves in the FB bed are calculated. The calculation results of the opening and closing states are output to the valve control unit 28.

[0142] Figure 8 This is a diagram showing the control module for FB control performed by the FB control arithmetic unit 25 (processor 20a). For example... Figure 8 As shown, in FB control, based on 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) are used to calculate the first control index T1 respectively. CT The measured value T1 CTact and the second control indicator T2 CT The measured value T2 CTact In FB control, the measured value T1 is also used as a basis. CTact and T2 CTact Target value T1 CTref and T2 CTref The first control index T1 is calculated using equations (8) and (9) below. CT deviation ΔT1 CT and the second control indicator T2 CT deviation ΔT2 CT .

[0143]

Formula 8

[0144]

[0145]

Formula 9

[0146]

[0147] Deviation ΔT1 CT and ΔT2 CT Input respectively into the first control index T1 CT and the second control indicator T2 CT These controllers are, for example, composed of PID controllers.

[0148] The decrease in temperature dT of the upper surface of steel plate 1 caused by the cooling water from the FB bed top FB The decrease in temperature of the lower surface, dT bot FB The number N of the valves that use the upper surface cooling valve 11 is determined by top FB The number N of the opening valves of the lower surface cooling valve 14 bot FB The following formula (10) represents it.

[0149]

Formula 10

[0150]

[0151] In equation (10), F is used to determine the number N. top FB and N bot FB Operational decrease dT top FB and dT bot FB The matrix F can be obtained, for example, by linearizing the temperature model based on the sensitivity analysis of the temperature model in equation (1) above, which sets the rolling installation information corresponding to steel plate 1. In another example, matrix F can be obtained by statistical analysis of actual data of past steel plates rolled under the same rolling conditions as steel plate 1, by indexing the table values ​​based on the pre-analyzed rolling conditions, and by sequentially calculating the locally linearized matrix using the temperature model near the current state. Alternatively, without sequential calculation, the influence of the conveying speed of steel plate 1 can be considered and a correction term related to the conveying speed can be set. Alternatively, the time variation caused by heat conduction can be considered, and the matrix F can be represented by considering past values ​​using differential equations or difference equations.

[0152] In FB control, the next step is to base the first control index T1 on the controller output. CT The change in dT1 CT and the second control indicator T2 CT The change in dT2 CTThe number N of valves to be opened is calculated using equations (11) and (12) below. top FB and N bot FB .

[0153]

Formula 11

[0154]

[0155]

Formula 12

[0156] C = F -1 A -1 …(12)

[0157] In equation (12), C is the inverse matrix A of matrix A as shown in equation (4) above. －1 The change dT1 CT and dT2 CT Convert them to decrease dT respectively top FB and dT bot FB And according to the above equation (10), the inverse matrix F of matrix F is... －1 Convert these decreases into numbers N respectively top FB and N bot FB The coefficient matrix. The elements in row i and column j of matrix C are... Figure 8 c shown 11 ~c 22 correspond.

[0158] In the FB control, the final calculated number N top FB and N bot FB It is integerized. Based on this integerization, it is possible to suppress the influence of the first control index T1. CT FB control and according to the second control index T2 CT The FB controls interfere with each other.

[0159] The FB control arithmetic unit 25 is based on the integer number N. top FB and N bot FB Based on the modified valve mode of the FB bed, the opening and closing states of the valves possessed by the FB bed are calculated. The calculation results of the opening and closing states are output to the valve control unit 28.

[0160] Figure 9 This is a diagram illustrating an example of the calculation method for the open and closed states of a valve. In Figure 9 The upper layer shows the cold bed B as FB.N－1 ~B N The set valve mode for bed B. Figure 9 In the example shown, a corrected valve mode is calculated. This corrected valve mode is to make the opening sequence of the upper surface cooling valve 11 different from that of the lower surface cooling valve 14, thus redistributing the opening sequence for the upper and lower valves respectively. Figure 9 The middle layer shows the valve mode after the opening order is reassigned (i.e., the corrected valve mode). If the number N is calculated... top FB and N bot FB If so, select the valve opening mode according to the corrected valve mode.

[0161] exist Figure 9 The lower layer shows the number N top FB =4, and the number N bot FB Example of valve selection when =7. In Figure 9 In the lower-level example, the cold bed B N The upper surface cooling valves 11f, 11e, 11d, and 11c are opened. Additionally, the cooling bed B... N The lower surface cooling valves 14f, 14e, 14d, 14c, 14b and 14a are connected to the cooling bed B. N－1 The lower surface cooling valve opens after 14 hours.

[0162] During the execution of the setting process, the valve control unit 28 follows the instructions provided by the setting calculation unit 23 for the cooling beds B1 to B2. N Information on the initial opening and closing status of the valves, and operation of the multiple valves present in these cooling beds.

[0163] During the execution of the control processing, the valve control unit 28 operates multiple valves of the FF bed based on the position information of the cutting plate CP provided by the tracking calculation unit 22 and the opening and closing status information of the valves of the FF bed provided by the FF control calculation unit 24. The valve control unit 28 also operates multiple valves of the FB bed based on the position information of the cutting plate CP and the opening and closing status information of the valves of the FB bed provided by the FB control calculation unit 25. The valve control unit 28 further outputs the actual valve operation information to the learning value calculation unit 26.

[0164] During the execution of the setting process, the learning value calculation unit 26 obtains the rolling installation information of the steel plate 1 from the mounting device 40. The learning value calculation unit 26 also obtains the target value T1 from the index value calculation unit 21. CTref and T2 CTref The learning value calculation unit 26 further obtains the learning value information corresponding to the steel plate 1 from the learning value storage unit 27.

[0165] During the execution of the control processing, the learning value calculation unit 26 obtains the measured value T for each cutting plate CP. FDTact Measured value T top CTact and the measured value T bot CTact The learning value calculation unit 26 also acquires and temporarily stores information about the positions of the cutting plate CP, the conveying speed of the steel plate 1, and the actual operation information of the valve.

[0166] During the execution of the learning process, the learning value calculation unit 26 calculates the upper surface temperature T based on the rolling installation information provided by the installation device 40, the learning value information corresponding to the steel plate 1, various information temporarily stored in the control process, and the temperature model. top CT The predicted value (for learning purposes) T top CTprd With the lower surface temperature T of the winding bot CT The predicted value (for learning purposes) T bot CTprd The learning value calculation unit 26 also processes the predicted value T used for learning. top CTprd And T bot CTprd An evaluation is performed. This evaluation is performed, for example, using the evaluation function J4 shown in equation (13) below. In equation (13), h refers to the number of the cutting plate CP.

[0167]

Formula 13

[0168]

[0169] For the predicted value T used in learning top CTprd And T bot CTprd In the evaluation, it is determined whether the evaluation function J4 meets the 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 this evaluation are both at a pre-set value. If the termination condition is not met, the learning value is updated based on the evaluation function J4, and the predicted value T is learned. top CTprd And T bot CTprdThe calculation and evaluation using the above equation (13) are performed. In the learning value update method based on the evaluation function, for example, the quasi-Newton method known in optimization methods can be applied. The calculation of the predicted value, the evaluation using the evaluation function, and the update of the learning value are repeated until the termination condition is met. If the termination condition is met, the operation takes the learning value at the time of meeting the termination condition and the learning value corresponding to the steel plate 1 as the final learning value. This final learning value is recorded in the learning value storage unit 27.

[0170] 2. Second Implementation Method

[0171] In the second embodiment, in the calculation of the valve opening and closing state performed by the FB control calculation unit 25 in the first embodiment, instead of the above equations (8) and (9), the deviation ΔT1 based on the Smith prediction, expressed by the following equations (14) and (15), is calculated. CTsmt and ΔT2 CTsmt . Deviation ΔT1 CTsmt and ΔT2 CTsmt Input respectively into the first control index T1 CT and the second control indicator T2 CT The controller (refer to) Figure 8 ).

[0172]

Formula 14

[0173]

[0174]

Formula 15

[0175]

[0176] Smith predictor calculations about entering cold bed B j+1 CP cutting plate tgt (i.e., located in cooling bed B) j With cold bed B j+1 The temperature T of the upper surface of the winding of the cutting plate (CP) between them top CT Predicted value T top CTsmt1 With the lower surface temperature T of the winding bot CT Predicted value T bot CTsmt1 Predicted value T top CTsmt1 And T bot CTsmt1 The operation is based on the cutting plate CP tgt The measured value T at the position of thermometer 2 on the outlet side of the precision machining process. FDTact Valve opening and closing status (regarding the FF valve, it refers to the cutting plate CP) tgtThe actual open / closed state of the FB valve is relative to the CP cutting plate. tgt The calculation is based on the opening and closing state of the cutting plate CP in the previous partition and the conveying speed.

[0177] If the predicted value T is calculated top CTsmt1 And T bot CTsmt1 Based on these predicted values ​​and the following equation (16), the first control index T1 is calculated. CT The predicted value (Smith prediction) T1 CTsmt1 Second control indicator T2 CT The predicted value (Smith's prediction) T2 CTsmt1 .

[0178]

Formula 16

[0179]

[0180] In equation (16), A is the coefficient matrix shown in equation (4). To account for the dead time delay caused by conveying, the measured value T of the cutting plate CP located directly below the upper surface thermometer 3 on the winding machine inlet side (or directly above the lower surface thermometer 4 on the winding machine inlet side) is calculated. top CTact And T bot CTact The first control index T1 is represented by the following formula (17). CT The predicted value (Smith prediction) T1 CTsmt2 and the second control indicator T2 CT The predicted value (Smith's prediction) T2 CTsmt2 The error. Additionally, the predicted value T1 CTsmt2 and T2 CTsmt2 It's about the CP of the cutting plate. tgt Entering cold bed B before the early dead zone time Td seconds ago. j+1 The predicted value of CP for the cutting plate.

[0181]

Formula 17

[0182]

[0183] Once the measured value T is calculated top CTact And T bot CTact Compared with Smith's predicted value T1 CTsmt2 and T2 CTsmt2 If the error is such that the predicted value T is corrected, then the error is used to correct the predicted value T. top CTsmt1 And T bot CTsmt1The series of calculations can be expressed by formulas (14) and (15) above.

[0184] 3. Third Implementation Method

[0185] Figure 10 This is a diagram illustrating an example of the configuration of a hot rolling line to which the temperature control device of the third embodiment is applicable. Figure 10 The example shown is similar to Figure 1 The difference in the configuration example shown is the temperature gauge on the exit side of the final stand of the finishing mill 5. That is, Figure 1 The configuration example shown only has a fine-finished outlet-side thermometer 2, but Figure 10 The configuration example shown has a finishing outlet side upper surface thermometer 2a and a finishing outlet side lower surface thermometer 2b.

[0186] In the third embodiment, the calculations of the FF control calculation unit 24 and the learning value calculation unit 26 in the first embodiment, and the predicted value T based on the temperature model of the FB control calculation unit 25 in the second embodiment are performed. bot CTsmt1 And T bot CTsmt1 The calculation uses the measured value T top FDTact And T bot FDTact Therefore, the calculation accuracy of various predicted values ​​can be improved compared to the first embodiment.

[0187] 4. Fourth Implementation Method

[0188] Figure 11 This diagram illustrates an example of the configuration of a hot rolling line to which the temperature control device of the fourth embodiment is applicable, and an example of the functional configuration of the temperature control device. Figure 11 The image depicts an upper intermediate surface thermometer 8 and a lower intermediate surface thermometer 9. The upper intermediate surface thermometer 8 and the lower intermediate surface thermometer 9 are located on the cooling bed B. l The outlet side (2<l≤N-2). The intermediate upper surface thermometer 8 measures the temperature of the steel plate 1 directly below it (hereinafter also referred to as "intermediate upper surface temperature T"). top MT "or temperature T" top MT "), and the measured value T top MTact Output to temperature control device 20. The intermediate lower surface thermometer 9 measures the temperature of the steel plate 1 directly above it (hereinafter also referred to as "intermediate lower surface temperature T"). bot MT "or temperature T" bot MT ”), to measure the value botMTact Output to temperature control device 20.

[0189] Figure 11 The temperature control device 20 shown is used as a replacement Figure 4 The FF control arithmetic unit 24 and FB control arithmetic unit 25 shown have the functions of FF control arithmetic units 24a and 24b, and FB control arithmetic units 25a and 25b. However, the basic functions of FF control arithmetic units 24a and 24b are similar to those of FF control arithmetic units 24a and 24b. Figure 4 The FF control arithmetic unit 24 shown has the same basic function. Furthermore, the FB control arithmetic units 25a and 25b have the same basic function. Figure 4 The FB control and calculation unit 25 shown has the same basic functions.

[0190] Figure 12 This describes the cooling beds B1 to B in the fourth embodiment. N A diagram illustrating the composition of an example. In Figure 12 In the example shown, cooling beds B1 to B2 are arranged sequentially from the upstream side of the cooling device 10. k Cold bed B k+1 ~B l Cold bed B l+1 ~B m And cold bed B m+1 ~B N (1≤k<l<m≤N-1). Cooling bed B1~B k And B l+1 ~B m Equivalent to FF bed. Cold bed B. k+1 ~B l And B m+1 ~B N It's equivalent to a FB bed.

[0191] The following, without specifically distinguishing between cold beds B1 to B k In general, they are referred to as "first FF beds" without special distinction from cold beds B. l+1 ~B m In this case, they are generally referred to as "second FF beds". Additionally, without specifically distinguishing between cold beds (B)... k+1 ~B l In general, they are referred to as "first FB beds" without special distinction from cold beds (B beds). m+1 ~B N In these cases, they are collectively referred to as "second FB beds".

[0192] return Figure 11 The functional configuration example of the temperature control device 20 will be further described below. In the first embodiment, based on the first control index T1 CT Target value T1 CTref With the second control index T2CT Target value T2 CTref The calculations are performed in the setting calculation unit 23, the FF control calculation unit 24, and the FB control calculation unit 25. In the fourth embodiment, the target value T1 is also used. CTref and T2 CTref In the fourth embodiment, target values ​​for the first and second control parameters related to the intermediate temperature are also used.

[0193] The first control index T1 related to the intermediate temperature MT Target value T1 MTref Second control index T2 MT Target value T2 MTref For example, calculate according to the following formula (18).

[0194]

Formula 18

[0195]

[0196] In equation (18), A is the same as matrix A shown in equation (4) above. Target value T1 MTref and T2 MTref By applying the measured value T to the variable on the right-hand side of equation (18) top MTact And T bot MTact To perform the calculation.

[0197] Below, in order to distinguish the target value T1 CTref and T2 CTref With target value T1 MTref and T2 MTref The target value T1 will also be... CTref and T2 CTref Called "final target value T1" CTref and T2 CTref "and also the target value T1 MTref and T2 MTref This is called the "intermediate target value T1" MTref and T2 MTref ".

[0198] The FF control calculation unit 24a calculates the opening and closing states of the multiple valves in the first FF bed and outputs them to the valve control unit 28. The FF control calculation unit 24b calculates the opening and closing states of the multiple valves in the second FF bed and outputs them to the valve control unit 28. The FB control calculation unit 25a calculates the opening and closing states of the multiple valves in the first FB bed and outputs them to the valve control unit 28. The FB control calculation unit 25b calculates the opening and closing states of the multiple valves in the second FB bed and outputs them to the valve control unit 28.

[0199] During the execution of the setting process, the FF control calculation unit 24a obtains rolling installation information from the mounting device 40. The FF control calculation unit 24a also obtains the intermediate target value T1 from the index value calculation unit 21. MTref and T2 MTref The FF control calculation unit 24 also obtains information from the setting calculation unit 23 regarding the correction valve mode and the initial number of valves opened for the first FF bed. Furthermore, the FF control calculation unit 24a also obtains information from the learning value storage unit 27 regarding the learning value related to the "first temperature model" corresponding to the steel plate 1. Here, the first temperature model is represented, for example, by the following equation (19).

[0200]

Formula 19

[0201]

[0202] The variables on the right-hand side of equation (19) are basically the same as those on the right-hand side of equation (1) above. However, the learning value z MT It is related to the temperature T of the middle upper surface. top MT The relevant learning value, z bot MT It is related to the temperature T of the lower middle surface. bot MT Related learning values.

[0203] In the control processing, the FF control calculation unit 24a obtains the measured value T of the cutting plate CP from the finishing exit side temperature gauge 2 each time. FDTact The system calculates the opening and closing states of the valves in the first FF bed. The calculation result of the opening and closing states is output to the valve control unit 28. Regarding the calculation of the valve opening and closing states, in... Figure 7 In the description, "FF control calculation unit 24" is renamed "FF control calculation unit 24a", and "FF bed" is renamed "first FF bed". Additionally, "first control index T1" is changed to "FF control calculation unit 24a". CT "Renamed to "First Control Indicator T1" MT "The second control indicator T2" CT "Renamed to "Second Control Indicator T2" MT ", to "detailed predicted value T" CTprd And T bot CTprd "Renamed to "Predicted Value (Detailed Predicted Value) T" MTprd And T bot MTprd Furthermore, the "temperature model of the above equation (1)" is renamed "the first temperature model of the above equation (19)," and the "target value T1" is changed to "the first temperature model of the above equation (19)." CTref "Renamed to "Target Value T1" MTrefThis illustrates an example of processing related to the calculation of the opening and closing states of the valves in the first FF bed.

[0204] During the execution of the setting process, the FB control calculation unit 25a obtains the rolling installation information of the steel plate 1 from the mounting device 40. The FB control calculation unit 25a also obtains the target value T1 from the index value calculation unit 21. MTref and T2 MTref The FB control calculation unit 25a also obtains information about the learning value corresponding to the steel plate 1 from the learning value storage unit 27. Furthermore, the FB control calculation unit 25a also obtains information about the correction valve mode and the initial number of valves opened for the first FB bed from the setting calculation unit 23.

[0205] During the execution of the control process, the FB control calculation unit 25a obtains the measured value T of the cutting plate CP of the steel plate 1 from the finishing exit side thermometer 2 each time. FDTact The system calculates the opening and closing states of the valves in the first FB bed. The calculation results of the opening and closing states are output to the valve control unit 28. Regarding the calculation of the valve's opening and closing states, in... Figure 8 In the description, "FB control calculation unit 25" is renamed "FB control calculation unit 25a", and "FB bed" is renamed "first FB bed". Additionally, "first control index T1" is changed to "FB control calculation unit 25a". CT "Renamed to "First Control Indicator T1" MT "The second control indicator T2" CT "Renamed to "Second Control Indicator T2" MT Furthermore, the "measured value T1" CTact and T2 CTact "Renamed to "Measurement value T1" MTact and T2 MTact "Target value T1" CTref and T2 CTref "Renamed to "Target Value T1" MTref and T2 MTref ", will "deviation ΔT1" CT and ΔT2 CT "Renamed "Deviation ΔT1" MT and ΔT2 MT "Change dT1" CT and dT2 CT "Renamed to "change dT1" MT and dT2 MT This illustrates an example of processing related to the calculation of the opening and closing states of the valves in the first FF bed.

[0206] During the execution of the setting process, the FF control calculation unit 24b obtains rolling installation information from the mounting device 40. The FF control calculation unit 24b also obtains the target value T1 from the index value calculation unit 21. CTref and T2 CTref The FF control calculation unit 24b also obtains information from the setting calculation unit 23 regarding the correction valve mode and the initial number of valves opened for the second FF bed. Furthermore, the FF control calculation unit 24b also obtains information from the learning value storage unit 27 regarding the learning value related to the "second temperature model" corresponding to the steel plate 1. Here, the second temperature model is represented, for example, by the following equation (20).

[0207]

Formula 20

[0208]

[0209] The variables on the right-hand side of equation (20) are basically the same as those on the right-hand side of equation (1) above. However, T top MT The input is the temperature T of the middle upper surface. top MT The measured value T top MTact T bot MT The input is the lower surface temperature T. bot MT The measured value T bot MTact .

[0210] In the control processing, the FF control arithmetic unit 24b calculates the value T from the cutting plate CP each time. top MTact And T bot MTact By acquiring the intermediate upper surface thermometer 8 and the intermediate lower surface thermometer 9, the opening and closing states of the valves in the second FF bed are calculated. The calculation results of the opening and closing states are output to the valve control unit 28. Regarding the calculation of the valve opening and closing states, in... Figure 7 In the description, "FF control calculation unit 24" is renamed "FF control calculation unit 24b", and "FF bed" is renamed "second FF bed". In addition, "temperature model of the above formula (1)" is renamed "second temperature model of the above formula (20)". Thus, an example of the processing related to the calculation of the opening and closing state of the valves of the second FF bed is explained.

[0211] During the execution of the setting process, the FB control calculation unit 25b obtains the rolling installation information of the steel plate 1 from the mounting device 40. The FB control calculation unit 25b also obtains the target value T1 from the index value calculation unit 21. CTref and T2 CTrefThe FB control calculation unit 25 also obtains information about the learning value corresponding to the steel plate 1 from the learning value storage unit 27. In addition, the FB control calculation unit 25b also obtains information about the correction valve mode and the initial number of valves opened of the second FB bed from the setting calculation unit 23.

[0212] During the execution of the control processing, the FB control calculation unit 25b obtains the measured value T of the cutting plate CP from the intermediate upper surface thermometer 8 and the intermediate lower surface thermometer 9. top MTact And T bot MTact The system calculates the opening and closing states of the valves in the second FB bed. The calculation results of the opening and closing states are output to the valve control unit 28. Regarding the calculation of the valve opening and closing states, in... Figure 8 In the description, "FB control calculation unit 25" is referred to as "FB control calculation unit 25b", and "FB bed" is referred to as "second FB bed". Thus, an example of processing related to the calculation of the opening and closing states of the valves possessed by the second FB bed is explained.

[0213] The learning value storage unit 27 stores the learning values ​​related to the first temperature model and the learning values ​​related to the second temperature model, respectively.

[0214] During the execution of the control process, the learning value calculation unit 26 obtains the measured value T from the intermediate upper surface thermometer 8. top MTact The measured value T was obtained from the lower surface thermometer 9. bot MTact And temporarily store it.

[0215] During the execution of the learning process, the learning value calculation unit 26 receives learning values ​​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 The predicted value (for learning purposes) T top MTprd With the middle lower surface temperature T bot MT The predicted value (for learning purposes) T bot MTprd The learning value calculation unit 26 also performs calculations on the predicted value T used for learning. top MTprd And T bot MTprd The evaluation is performed, for example, using the evaluation function J5 shown in equation (21) below. In equation (21), h refers to the number of the cutting plate CP.

[0216]

Formula 21

[0217]

[0218] For the predicted value T used in learning top CTprd And T bot CTprd The evaluation method is the same as that in the first embodiment for the learning prediction value T. top CTprd And T bot CTprd The evaluation method is the same. Furthermore, the method for determining and updating the learning values ​​associated with the first temperature model is the same as the method for determining and updating the learning values ​​associated with the temperature model in the first embodiment.

[0219] During the execution of the learning process, the learning value calculation unit 26 determines and updates the learning values ​​related to the second temperature model. The method for determining and updating the learning values ​​related to the second temperature model is the same as the method for determining and updating the learning values ​​related to the temperature model in the first embodiment.

[0220] Furthermore, in the fourth embodiment, the intermediate upper surface thermometer 8 and the intermediate lower surface thermometer 9 are provided as a pair within the ROT. However, the total number of these pairs of intermediate thermometers may also be two or more. In this case, the target value, simplified predicted value, detailed predicted value, etc., are appropriately calculated according to the description of the fourth embodiment.

[0221] 5. Fifth Implementation Method

[0222] Figure 13 This diagram illustrates an example of the configuration of the cooling bed in the fifth embodiment. Figure 13 In the example shown, an upper surface flow regulating valve 17 is provided upstream of the upper surface cooling valve 11. Additionally, a lower surface flow regulating valve 18 is provided upstream of the lower surface cooling valve 14.

[0223] In the first embodiment, the number N of the upper surface cooling valve 11 and the lower surface cooling valve 14 is based on the number of valves N that are open. top FB and N bot FB The valve is opened and closed, thereby adjusting the flow from the cooling bed B. i The water injection volume. In the fifth embodiment, the flow rate of cooling water from the upper surface flow regulating valve 17 and the lower surface flow regulating valve 18 is adjusted.

[0224] The flow rates of cooling water from the upper surface flow regulating valve 17 (upper surface flow rate) and the flow rates of cooling water from the lower surface flow regulating valve 18 (lower surface flow rate) are calculated, for example, by counting the number of valves open on the upper surface side and the number of valves open on the lower surface side according to the valve opening and closing states calculated in the first embodiment, and converting them into upper surface flow rate and lower surface flow rate respectively based on the following relationship (22). The calculated upper surface flow rate and lower surface flow rate are output to the valve control unit 28.

[0225]

Formula 22

[0226]

[0227] In equation (22), q i It's a cold bed B i The flow rate (total flow rate) of the upper and lower surfaces in the middle, q max i It's a cold bed B i The maximum flow rate on the upper and lower surfaces of the medium. N calc i It's about cold bed B. i The number of valves open on the upper and lower surfaces is calculated. N max i It is possible to use a cold bed B i The maximum number of valves that can be opened on the upper and lower surfaces of the device.

[0228] Examples of calculating the flow rates of the upper and lower surfaces are not limited to this; they can also be directly calculated by applying the flow rates of each cooling bed within a temperature model. Furthermore, in this case, the same cooling bed B... i The multiple upper surface cooling valves have the same valve priority, and the lower surface cooling valves also have the same valve priority. However, the valve priority of the upper surface cooling valves can be the same as that of the lower surface cooling valves, or they can be different.

[0229] In the fifth embodiment, the valve control unit 28 is based on the cooling beds B1 to B1 provided by the setting calculation unit 23, the FF control calculation unit 24, and the FB control calculation unit 25. N upper surface flow rate q top 1 ~q top N With the flow rate q on the lower surface bot 1 ~q bot N Operate the upper surface flow regulating valve 17 and the lower surface flow regulating valve 18.

[0230] Explanation of reference numerals in the attached figures

[0231] 1. Steel plate 2. Finishing mill exit side thermometer 2a. Finishing mill exit side upper surface thermometer 2b. Finishing mill exit side lower surface thermometer 3. Coiler inlet side upper surface thermometer 4. Coiler inlet side lower surface thermometer 5. Finishing mill 7. Coiler 10. Cooling equipment 11a~11h upper surface cooling valve 14a~14h lower surface cooling valve 20. Temperature control device 20a. Processor 20b. Memory 40. Installation device B1~B N Cold Bed CP, CP tgt Cutting board

Claims

1. A temperature control device for a steel plate, comprising a device for controlling the temperature of a steel plate cooled by cooling water from a cooling bed assembly located downstream of a rolling mill and wound by a coiler located downstream of the cooling bed assembly, characterized in that, The temperature control device is equipped with a processor that performs various information processing functions. The cold bed group includes the FF bed group, which represents a cold bed group for feedforward control, and the FB bed group, which represents a cold bed group for feedback control. The processor performs the following processing: The system acquires rolling installation information, including at least valve mode information related to the opening sequence of the multiple cooling valves in the cooling bed assembly and information on the target value of the coiling temperature of the steel plate; measured values ​​of the rolling mill exit-side temperature, indicating the temperature of the steel plate at the exit side of the rolling mill; measured values ​​of the coiling machine inlet-side upper surface temperature, indicating the temperature of the upper surface of the steel plate at the inlet side of the coiling machine; measured values ​​of the coiling machine inlet-side lower surface temperature, indicating the temperature of the lower surface of the steel plate at the inlet side of the coiling machine; and information on the conveying speed of the steel plate. Based on the conveying speed, the positions of each segment constituting the steel plate are calculated. Based on the rolling installation information and a pre-set temperature model, a simplified predicted value for the coiling upper surface temperature, representing the coiling temperature of the upper surface of the steel plate, and a simplified predicted value for the coiling lower surface temperature, representing the coiling temperature of the lower surface of the steel plate, are calculated. Based on the target value of the winding temperature, the target values ​​of the first control index and the second control index related to the winding temperature are calculated. The initial water injection volume in the FF bed group and the FB bed group is calculated so that the target value of the first control index is consistent with the simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the upper surface temperature and the lower surface temperature of the winding. The valve mode is modified so that the target value of the second control index is consistent with the simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper and lower surface temperatures of the winding. Based on the measured temperature at the mill exit side, the conveying speed, the rolling installation information, the corrected valve mode, and the temperature model, detailed predicted values ​​for the upper surface temperature of the coil and the lower surface temperature of the coil are calculated. The FF injection volume, representing the injection volume in the FF bed group, is calculated so that the target value of the first control index is consistent with the detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the upper and lower surface temperatures of the winding. Based on the measured values ​​of the upper and lower surface temperatures at the coiler inlet, the conveying speed, the rolling installation information, and the corrected valve mode, the FB water injection volume, representing the water injection amount in the FB bed, is calculated. This ensures that the target value of the first control index is consistent with the measured value of the first control index calculated based on the measured values ​​of the upper and lower surface temperatures at the coiler inlet, and that the target value of the second control index is consistent with the measured value of the second control index calculated based on the measured values ​​of the upper and lower surface temperatures at the coiler inlet. The water injection volume in the FF bed group is controlled based on the location of each section, the initial water injection volume, and the FF water injection volume. The water injection volume in the FB bed group is controlled based on the location of each section, the initial water injection volume, and the FB water injection volume.

2. The temperature control device for steel plates according to claim 1, characterized in that, The processor also obtains information on at least one of the rolling speed in the final stand of the rolling mill and the winding speed in the coiler, and calculates the conveying speed based on at least one of the rolling speed and the winding speed.

3. The temperature control device for steel plates according to claim 1, characterized in that, The processor obtains the conveying speed information from a speedometer located midway through the cooling bed assembly.

4. The temperature control device for steel plates according to claim 1 or 2, characterized in that, The information regarding the measured temperature at the mill exit side includes information on the measured temperature of the upper surface of the steel plate at the mill exit side, representing the temperature of the upper surface of the steel plate at the mill exit side, and information on the measured temperature of the lower surface of the steel plate at the mill exit side, representing the temperature of the lower surface of the steel plate at the mill exit side.

5. The temperature control device for steel plates according to claim 1 or 2, characterized in that, In the calculation of the FB water injection volume, the processor performs the following processing: Whenever the segment reaches the inlet side of the FB bed, detailed predicted values ​​for the upper and lower surface temperatures of the winding of the segment reaching the inlet side of the FB bed are calculated. Based on the deviation between the detailed predicted value of the upper surface temperature of the winding machine calculated for a prior segment reaching the position of the inlet-side thermometer of the winding machine and the detailed predicted value of the upper surface temperature of the winding machine calculated for a subsequent segment reaching the inlet side of the FB bed when the prior segment reaches the position of the inlet-side thermometer of the winding machine, the detailed predicted value of the upper surface temperature of the winding machine calculated for the subsequent segment is corrected. The inlet-side thermometer of the winding machine is configured opposite to the inlet side of the winding machine and is used to measure the upper surface temperature and the lower surface temperature of the inlet side of the winding machine. Based on the deviation between the detailed predicted value of the winding lower surface temperature calculated for the earlier segment and the value calculated for the subsequent segment, the detailed predicted value of the winding lower surface temperature calculated for the subsequent segment is corrected.

6. The temperature control device for steel plates according to claim 1 or 2, characterized in that, The processor performs the following processing: Based on the historical information of the conveying speed, the rolling installation information, the historical information of the measured values ​​of the upper surface temperature and the lower surface temperature of the coiler inlet, the actual operation information of the multiple cooling valves, and the temperature model, the learned predicted values ​​of the upper surface temperature and the lower surface temperature of the coiler are calculated. The learning value of the temperature model is calculated based on the error between the measured value of the upper surface temperature on the winding machine inlet side and the learning prediction value of the upper surface temperature of the winding machine, and the error between the measured value of the lower surface temperature on the winding machine inlet side and the learning prediction value of the lower surface temperature of the winding machine.

7. The temperature control device for steel plates according to claim 1 or 2, characterized in that, The processor controls the water injection volume in the FF bed group and the FB bed group by switching the opening and closing states of the plurality of cooling valves.

8. The temperature control device for steel plates according to claim 1 or 2, characterized in that, The processor controls the water injection volume in the FF bed group and the FB bed group by adjusting the operation of a flow regulating valve that adjusts the water injection volume from the plurality of cooling valves.

9. A temperature control device for a steel plate, comprising a device for controlling the temperature of a steel plate cooled by cooling water from a first cooling bed group and a second cooling bed group located downstream of a rolling mill and wound by a coiler located downstream of the first cooling bed group and the second cooling bed group, characterized in that, The temperature control device is equipped with a processor that performs various information processing functions. The first cold bed group includes a first FF bed group representing a cold bed group for feedforward control and a first FB bed group representing a cold bed group for feedback control. The second cold bed group includes a second FF bed group representing the cold bed group for feedforward control and a second FB bed group representing the cold bed group for feedback control. A first FB bed group is disposed downstream of the first FF bed group, and a second FF bed group is disposed downstream of the first FB bed group. A second FB bed group is disposed downstream of the second FF bed group. The processor performs the following processing: The system acquires rolling installation information including at least valve mode information related to the opening sequence of multiple cooling valves in the first and second cooling bed groups, target value of the coiling temperature of the steel plate, and target value of the intermediate temperature of the steel plate at the intermediate position between the first FB bed group and the second FF bed group; measured value of the rolling mill exit side temperature of the steel plate at the exit side of the rolling mill; measured value of the upper surface temperature of the steel plate at the inlet side of the coiler; measured value of the lower surface temperature of the steel plate at the inlet side of the coiler; measured value of the intermediate upper surface temperature of the upper surface of the steel plate at the intermediate position; measured value of the intermediate lower surface temperature of the steel plate at the intermediate position; and information on the conveying speed of the steel plate. Based on the conveying speed, the positions of each segment constituting the steel plate are calculated. Based on the rolling installation information and a pre-set first temperature model, a simplified predicted value for the intermediate upper surface temperature, representing the intermediate temperature of the upper surface of the steel plate, and a simplified predicted value for the intermediate lower surface temperature, representing the intermediate temperature of the lower surface of the steel plate, are calculated. Based on the target value of the intermediate temperature, an intermediate target value representing the target value of the first control index and the target value of the second control index related to the intermediate temperature is calculated. The initial water injection volume in the first cooling bed group is calculated so that the intermediate target value of the first control index is consistent with the 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. The valve mode for the first cooling bed is modified so that the intermediate target value of the second control index is consistent with the 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. Based on the measured temperature at the mill exit side, the conveying speed, the rolling installation information, the corrected valve mode for the first cooling bed group, and the first temperature model, detailed predicted values ​​for the intermediate upper surface temperature and the intermediate lower surface temperature are calculated. A first FF injection volume, representing the injection volume in the first FF bed group, is calculated such that the intermediate target value of the first control index is consistent with the detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, and the intermediate target value of the second control index is consistent with the detailed predicted value of the second control index related to the intermediate temperature calculated based on the detailed predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature. Based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, the conveying speed, the rolling installation information, and the corrected valve mode regarding the first cooling bed group, a first FB water injection volume representing the water injection volume in the first FB bed group is calculated, so that the intermediate target value of the first control index is consistent with the intermediate measured value of the first control index calculated based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, and the intermediate target value of the second control index is consistent with the intermediate measured value of the second control index calculated based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature. Based on the rolling installation information and the pre-set second temperature model, a simplified predicted value for the coiling upper surface temperature, representing the coiling temperature of the upper surface of the steel plate, and a simplified predicted value for the coiling lower surface temperature, representing the coiling temperature of the lower surface of the steel plate, are calculated. Based on the target value of the winding temperature, the final target values ​​representing the target values ​​of the first control index and the second control index related to the winding temperature are calculated. The second initial water injection volume in the second cooling bed is calculated so that the final target value of the first control index is consistent with the simplified predicted value of the first control index calculated based on the simplified predicted values ​​of the upper and lower surface temperatures of the winding. The valve mode for the second cooling bed is modified so that the final target value of the second control index is consistent with the simplified predicted value of the second control index calculated based on the simplified predicted values ​​of the upper and lower surface temperatures of the winding. Based on the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, the conveying speed, the rolling installation information, the corrected valve mode for the second cooling bed, and the second temperature model, detailed predicted values ​​for the coiling upper surface temperature and the coiling lower surface temperature are calculated. A second FF injection volume, representing the injection volume in the second FF bed, is calculated to ensure that the final target value of the first control index is consistent with the detailed predicted value of the first control index calculated based on the detailed predicted values ​​of the upper and lower surface temperatures of the winding, and that the final target value of the second control index is consistent with the detailed predicted value of the second control index related to the winding temperature calculated based on the detailed predicted values ​​of the upper and lower surface temperatures of the winding. Based on the measured values ​​of the upper and lower surface temperatures of the coiler, the conveying speed, the rolling installation information, and the corrected valve mode regarding the second cooling bed group, a second FB water injection volume representing the water injection volume in the second FB bed group is calculated. This ensures that the final target value of the first control index is consistent with the final measured value of the first control index calculated based on the measured values ​​of the upper and lower surface temperatures of the coiler inlet side, and that the final target value of the second control index is consistent with the final measured value of the second control index calculated based on the measured values ​​of the upper and lower surface temperatures of the coiler inlet side. The water injection volume in the first FF bed group is controlled based on the location of each section, the first initial water injection volume, and the first FF water injection volume. The water injection volume in the first FB bed group is controlled based on the location of each section, the first initial water injection volume, and the first FB water injection volume. The water injection volume in the second FF bed group is controlled based on the location of each section, the second initial water injection volume, and the second FF water injection volume. The water injection volume in the second FB bed group is controlled based on the location of each section, the second initial water injection volume, and the second FB water injection volume.

10. The temperature control device for steel plates according to claim 9, characterized in that, The processor performs the following processing: Based on the historical information of the conveying speed, the rolling installation information, the historical information of the measured values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature, the actual operation information of the multiple cooling valves, and the first temperature model, the learned predicted values ​​of the intermediate upper surface temperature and the intermediate lower surface temperature are calculated. Based on the errors between the measured value of the upper intermediate surface temperature and the learned predicted value of the upper intermediate surface temperature, and the errors between the measured value of the lower intermediate surface temperature and the learned predicted value of the lower intermediate surface temperature, the learned value of the first temperature model is calculated. Based on the information of the conveying speed, the rolling installation information, the measured values ​​of the upper surface temperature and the lower surface temperature on the coiler inlet side, the actual operating information of the multiple cooling valves, and the second temperature model, the learned predicted values ​​of the upper surface temperature and the lower surface temperature of the coil are calculated. The learning value of the second temperature model is calculated based on the error between the measured value of the upper surface temperature of the winding and the learning prediction value of the upper surface temperature of the winding, and the error between the measured value of the lower surface temperature of the winding and the learning prediction value of the lower surface temperature of the winding.

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