Rolling setting support system and rolling setting support method

Abstract

To support determination of a rolling control target value which can reduce variation in a material in a longitudinal direction of a rolled material.SOLUTION: A rolling setting support system for supporting determination of a control target value set in a rolling machine when a rolled material is rolled has a determination part for determining whether a material quality of a reference actual material having specification similar to the rolled material satisfies a target specification in a rolling direction. The rolling setting support system has an evaluation point selecting part for selecting a plurality of material evaluation points for calculating evaluation of the material quality used in determination of the control target value among points in the rolling direction of the reference actual material, when it is determined that the material quality does not satisfy the target specification by the determination part.SELECTED DRAWING: Figure 8

Description

[Technical Field]

[0001] The present invention relates to a rolling control system and a rolling control method. [Background technology]

[0002] In the field of hot rolling control, a material quality prediction system that predicts the material quality of rolled material is known. The material quality prediction system is used to support the determination of rolling control target values.

[0003] For example, Patent Document 1 discloses a technology for calculating a control target value that satisfies the target value of the mechanical property by calculating an influence coefficient of the control target value on the mechanical property using a material quality prediction technology that predicts the mechanical properties of a rolled material based on the control target value of hot rolling. The technology disclosed in Patent Document 1 makes it possible to calculate a control target value that achieves the target quality with good accuracy.

[0004] Furthermore, Patent Document 2 discloses a material quality control support device that displays hot rolling control target values ​​and material quality prediction results on the same screen. By using the material quality control support device disclosed in Patent Document 2, it is possible to support the determination of rolling control target values ​​that can satisfy desired mechanical properties, regardless of the operator's level of experience. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2014-133246 A [Patent Document 2] Japanese Patent Publication No. 2020-82112 Summary of the Invention [Problem to be solved by the invention]

[0006] However, in the conventional techniques including Patent Documents 1 and 2, there remains a problem in determining a control target value that reduces the variation in material quality along the longitudinal direction of the rolled material.

[0007] This is due to the following reason: While the material is being rolled sequentially from the front end, the rear end of the material waits to be rolled, and the longer the material is, the greater the difference in waiting time between the front and rear ends. In hot rolling, in which the material is heated to a high temperature, the material is cooled during the waiting time, resulting in temperature unevenness along the length of the material.

[0008] To reduce this temperature unevenness, accelerated rolling is used, which increases the rolling speed from the front end to the rear end of the rolled material, thereby reducing the difference in waiting time between the front and rear ends.By reducing the difference in waiting time between the front and rear ends, accelerated rolling can reduce temperature unevenness along the length of the rolled material.

[0009] However, although accelerated rolling can reduce temperature unevenness to some extent, it cannot completely eliminate it. Due to the change in rolling speed and temperature unevenness caused by accelerated rolling, the rolling conditions change in a complex manner along the longitudinal direction of the rolled material, resulting in fluctuations in the material quality.

[0010] The present invention has been made in consideration of the above points, and aims to provide a rolling control system and a rolling control method that can easily determine, with a small amount of calculation, rolling control target values ​​that can further reduce unevenness in the material quality along the longitudinal direction of the rolled material. [Means for solving the problem]

[0011] In order to solve the above-mentioned problems, one aspect of the present invention is a rolling setting support system that supports the determination of control target values ​​to be set in a rolling mill when rolling a material to be rolled, and is characterized by having a judgment unit that judges whether the material of a reference actual material having specifications similar to those of the material to be rolled satisfies the target specifications across the rolling direction, and an evaluation point selection unit that, when the judgment unit judges that the material does not satisfy the target specifications, selects a plurality of material evaluation points from points in the rolling direction of the reference actual material to calculate an evaluation of the material to be used when determining the control target values. [Effects of the Invention]

[0012] According to the present invention, rolling control target values ​​that can further reduce unevenness in the material quality along the longitudinal direction of the rolled material can be easily determined with a small amount of calculation. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a block diagram showing an example of a hot rolling control system according to an embodiment. [Figure 2] FIG. 4 is a diagram showing an example of a storage format of operation data. [Figure 3] FIG. 4 is a diagram showing an example of a storage format of operation data. [Figure 4] FIG. 4 is a diagram showing an example of a storage format of operation data. [Figure 5] FIG. 4 is a diagram showing an example of a storage format of operation data. [Figure 6] FIG. 4 is a diagram showing an example of a storage format of operation data. [Figure 7] FIG. 1 is a block diagram showing an example of the configuration of a rolling setting support system. [Figure 8] 3 is a flowchart showing a rolling setting support process executed by the rolling setting support system. [Figure 9] FIG. 10 is a diagram showing an example of a reference performance material selection screen for selecting a reference performance material from material quality prediction data of similar performance materials in a reference performance material selection step. [Figure 10] FIG. 10 is a diagram showing an example of a material evaluation point selection screen displayed to a user in a material evaluation point selection step. [Figure 11] FIG. 10 is a diagram showing an example of a rolling control target value editing screen displayed to a user in a rolling control target value editing step. [Figure 12] A graph comparing the operational data of the reference material with the hypothetical operational data. [Figure 13] A graph comparing the operational data of the reference material with the hypothetical operational data at multiple material evaluation points. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, embodiments of the technology disclosed herein will be described with reference to the drawings. The embodiments, including the drawings, are examples for explaining the present application. In the embodiments, appropriate omissions and simplifications have been made for clarity of explanation. Unless otherwise specified, each component of the embodiments may be singular or plural.

[0015] The same or similar components are given the same reference numerals, and descriptions of the previously described embodiments in later embodiments may be omitted or may focus on the differences.

[0016] When there are multiple identical or similar components, they may be described by using the same reference numeral with different subscripts. When there is no need to distinguish between these multiple components, the subscripts may be omitted.

[0017] In the embodiments, processing performed by executing a program may be described. A computer performs processing defined by a program using a processor (e.g., a central processing unit (CPU) or a graphics processing unit (GPU)) while using storage resources (e.g., memory). Therefore, the entity performing the processing by executing a program may be the processor. Similarly, the entity performing the processing by executing a program may be a controller, device, system, computer, or node having a processor. The entity performing the processing by executing a program may be a calculation unit, and may include a dedicated circuit that performs specific processing. Here, the dedicated circuit is, for example, an FPGA (field programmable gate array), an ASIC (application specific integrated circuit), or a CPLD (complex programmable logic device). The calculation unit that performs the "XXX step" may be called an "XXX unit."

[0018] A program may be installed on a computer from a program source. The program source may be, for example, a program distribution server or a non-transitory storage medium readable by a computer. When the program source is a program distribution server, the program distribution server may include a processor and a storage resource (storage) for storing the program to be distributed, and the processor of the program distribution server may distribute the program to be distributed to other computers. In addition, in an embodiment, two or more programs may be realized as one program, or one program may be realized as two or more programs.

[0019] In the following embodiments, various types of information are described in table format, but the various types of information may be in a data format other than a table format. Furthermore, various names such as "XX information," "XX table," "XX list," and "XX queue" are interchangeable. For example, "XX table" may be called "XX list." Furthermore, when describing identification information, expressions such as "identification information," "identifier," "name," "ID," and "number" are interchangeable.

[0020] [Embodiment] (Configuration of hot rolling control system 1) 1 is a block diagram showing an example of a hot rolling control system 1 according to embodiment 1. The hot rolling control system 1 determines rolling control target values ​​based on specification data of the rolled material input from a higher-level system 2, and controls the operation of a hot rolling line 3 based on the rolling control target values, thereby rolling a rolled material 4 (a material to be rolled).

[0021] The hot rolling control system 1 comprises a rolling setting device 11 , a rolling control device 12 , an operation data collection device 13 , a data storage device 14 , a material quality prediction device 15 , and a rolling setting support system 16 .

[0022] The rolling setting device 11 determines rolling control target values ​​and outputs them to the rolling control device 12. The rolling control device 12 controls the equipment belonging to the hot rolling line 3 based on the rolling control target values ​​input from the rolling control device 12. The operation data collection device 13 collects operation data from the rolling control device 12 and the hot rolling line 3. The data storage device 14 stores various data within the hot rolling control system 1.

[0023] The material quality prediction device 15 predicts the material quality of the rolled material from the data stored in the data storage device 14. The rolling setting support system 16 uses the data stored in the data storage device 14 and the material quality prediction device 15 to support the rolling setting device 11 in determining the rolling control target value and rolling setting value.

[0024] The hot rolling line 3 includes a roughing mill 31, a finishing mill 32, a ROT (Run-out Table) cooling facility 33, and a winder .

[0025] The roughing mill 31 rough-rolls a slab, which is a rolling material having a thickness of several hundred mm, to a rolled material 4 having a thickness of several tens of mm. The finishing mill 32 finish-rolls the rolled material 4, which has been rolled to a thickness of several tens of mm by the roughing mill 31, to a product thickness of several mm to several tens of mm. The ROT cooling equipment 33 cools the finish-rolled rolled material 4 while transporting it. The winder 34 winds up the cooled rolled material 4. The rolled material 4, which has been wound around the winder 34 and cooled to room temperature, becomes a product.

[0026] Although not shown in FIG. 1, in addition to the above-mentioned equipment, the hot rolling line 3 is equipped with measuring devices for measuring the temperature, thickness, width, etc. of the rolled material 4, cooling or heating devices for controlling the temperature of the rolled material 4, width rolling devices for controlling the width of the rolled material, and the like, at various locations on the rolling line.

[0027] In the rolling industry, one rolling operation is called one pass. Typically, rough rolling involves reciprocating rolling, in which the rolled material 4 is rolled back and forth before and after a roughing mill 31, for multiple passes, while finish rolling involves tandem rolling, in which the rolled material 4 is passed in one direction through multiple finish rolling mills 32 lined up in series, for multiple passes. Because reciprocating rolling is performed in roughing, the number of rolling passes is generally greater than the number of rolling mills.

[0028] The operation of each device in the hot rolling control system 1 will be described below.

[0029] The rolling setting device 11 receives specification data of the rolled material 4 from the upper system 2. The specification data of the rolled material 4 includes, for example, the following information. (Data 1-1) Unique number of rolled material 4 (Data 1-2) Chemical composition of the slab (Data 1-3) Slab temperature (Data 1-4) Slab thickness, width and length (Data 1-5) Target values ​​for product thickness, width, and length (Data 1-6) Target product varieties

[0030] Target specifications for materials such as tensile strength, yield strength, and elongation are determined for each product type (target type).

[0031] The rolling setting device 11 determines target values ​​for each control item of each piece of equipment belonging to the hot rolling line 3 so as to satisfy the received specification data of the rolled material 4, and outputs the determined target values ​​as rolling control target values ​​to the rolling control device 12. The rolling setting device 11 stores the rolling control target values ​​together with the specification data of the rolled material 4 in the data storage device 14. The rolling control target values ​​include, for example, the following information: (Data 2-1) Number of rolling passes for each rolling mill (Data 2-2) Thickness of rolled material 4 at the exit of each rolling mill for each rolling pass (Data 2-3) Temperature of the rolled material 4 at the entrance of the finishing mill 32 (Data 2-4) Temperature of the rolled material 4 at the exit of the finishing mill 32 (Data 2-5) Temperature of the rolled material 4 at the entrance of the winder 34 (Data 2-6) Rolling speed for each position in the longitudinal direction of the rolled material 4

[0032] Since rolling control target values ​​affect the dimensions and material of the product, the time required to roll the product, the energy consumption of each rolling mill, and the like, it is important to determine them appropriately. However, it is difficult to determine rolling control target values ​​based solely on the specification information of the rolled material 4. For example, information on the thickness of the product determines the thickness of the rolled material 4 at the exit of the last rolling pass of the finishing rolling mill 32, but does not determine the thickness at the exits of the other rolling passes. Other rolling control target values, such as the number of rolling passes, the temperature of the rolled material 4, and the rolling speed, are even more difficult to determine from the specification data of the rolled material 4. The rolling setting support system 16 of this embodiment is a device that supports the determination of such rolling control target values. The function of the rolling setting support system 16 will be described later.

[0033] The rolling control device 12 controls the operation of each piece of equipment belonging to the hot rolling line 3 based on the rolling control target values ​​received from the rolling setting device 11. Due to aging of the equipment, environmental variations, and the like, the actual values ​​of the control items may not match the target values. The hot rolling line 3 is equipped with a plurality of sensors that measure the actual values ​​of the control items. Based on the data from these sensors, the rolling control device 12 adjusts the operation of each piece of equipment so that the actual values ​​of the control items match their target values. For this control, a method well known in the field of hot rolling control can be used. For example, one such technique is described in "6.5 Control Methods for Hot Rolling and Plate Rolling" (Iron and Steel Handbook, 5th Edition, Vol. 5, (pp. 240-250)).

[0034] The operation data collection device 13 collects data on the operation state of the hot rolling line 3 for one rolled material from the rolling control device 12 and stores it as operation data in the data storage device 14. The operation data includes, for example, the following information: (Data 3-1) The time when the rolled material 4 was fed into the hot rolling line 3 and the time when the winding of the rolled material 4 was completed (Data 3-2) Operation start and end times for each rolling pass (Data 3-3) Roll radius for each rolling pass (Data 3-4) Load applied to the rolling rolls in each rolling pass (Data 3-5) Roll rotation speed for each rolling pass (Data 3-6) Thickness of rolled material 4 at the exit of each rolling pass (Data 3-7) Temperature of the rolled material at the entrance and exit of the roughing mill 31 (Data 3-8) Temperature of the rolled material at the inlet and outlet of the finishing mill 32 (Data 3-9) Temperature of the rolled material at the entrance of the winder 34 (Data 3-10) Rotational speed of winder 34

[0035] The above (Data 3-1) to (Data 3-3) can be saved as common data for one rolled material. Figure 2 shows an example of the saving format of the operation data (Data 3-1) to (Data 3-3).

[0036] "Load Time" in FIG. 2 is "(Data 3-1) 'The time when the rolled material 4 was loaded into the hot rolling line 3'." Also, "Finish Time" in FIG. 2 is "(Data 3-1) 'The time when winding of the rolled material 4 was completed'." Also, "R1 Start Time" in FIG. 2 is "(Data 3-2) 'The time when the operation of each rolling pass started' (first rough rolling pass R1)." Also, "R1 End Time" in FIG. 2 is "(Data 3-2) 'The time when the operation of each rolling pass ended' (first rough rolling pass R1)." Also, "R1 Radius" in FIG. 2 is "(Data 3-3) 'The radius of the rolling roll in each rolling pass' (first rough rolling pass R1)." The same applies to the first rough rolling pass R1 and onward.

[0037] Furthermore, the above (Data 3-4) to (Data 3-6) can be stored for each rough rolling pass as different data for each longitudinal position of the rolled material 4. Figure 3 shows an example of the storage format of (Data 3-4) to (Data 3-6) for each longitudinal position of the rolled material 4 in the first rough rolling pass R1.

[0038] "Position" in FIG. 3 is the "longitudinal position of the rolled material 4." Also, "Load" in FIG. 3 is the "load applied to the rolling roll" (data 3-4). Also, "Speed" in FIG. 3 is the "rotational speed of the rolling roll" (data 3-5). Also, "Thickness" in FIG. 3 is the "thickness of the rolled material 4 at the exit" (data 3-6). The columns of "Position" to "Thickness" in FIG. 3 are repeated the number of rows corresponding to the number of finish rolls in the finishing mill 32 (data 2-1).

[0039] Furthermore, the above (Data 3-7) to (Data 3-10) can be saved as data for each longitudinal position of the rolled material 4 for each facility, inlet (Suction), and outlet (Delivery). Figure 4 shows an example of a saving format for the temperature data (Temperature) at the outlet (Finishing-Delivery) of the finishing mill 32 (Data 3-8).

[0040] FIG. 5 also shows an example of a storage format for the temperature data (Temperature) and speed data (Speed) of the winding machine 34 (Data 3-10).

[0041] The data storage device 14 stores various data for each rolled material 4. For example, the following data is stored in the data storage device 14: (Data 1) Specification data for rolled material 4 from upper system 2 (Data 2) Control target value data from the rolling control device 12 (Data 3) Operational data from the operational data collection device 13 (Data 4) Material prediction data from the material prediction device 15

[0042] The material quality prediction device 15 predicts the material quality of the rolled material using the operational data of the rolled material 4 and the chemical composition of the slab stored in the data storage device 14. Various well-known techniques can be used to predict the material quality of hot rolling. For example, by using a series of mathematical models described in "Material Quality Control and Prediction" (Iron and Steel Institute of Japan, 1988), it is possible to calculate predicted values ​​for the tensile strength, yield strength, elongation, and hardness of the rolled material from the operational data of the rolled material and the chemical composition of the slab.

[0043] When new operational data for the rolled material 4 is stored in the data storage device 14, the material quality prediction device 15 can automatically predict the material quality of the rolled material 4. After predicting the material quality of the rolled material 4, the material quality prediction device 15 stores material quality prediction data, which is the prediction result, in the data storage device 14. The material quality prediction data includes, for example, the following information: (Data 4-1) Location information of material prediction points (Data 4-2) Tensile strength (Data 4-3) Yield strength (Data 4-4) Elongation (Data 4-5) Hardness (Data 4-6) Tissue fraction (Data 4-7) Average particle size

[0044] FIG. 6 shows an example of a storage format for the material prediction data (data 4-1) to (data 4-7).

[0045] Furthermore, the material quality prediction device 15 can also predict the material quality of the virtual rolled material by using virtual operation data input from the rolling setting support system 16, in response to a command from the rolling setting support system 16. In this case, the material quality prediction device 15 predicts the material quality of the virtual rolled material, and then transmits material prediction data, which is the prediction result, to the rolling setting support system 16.

[0046] The material quality prediction device 15 has a configuration capable of parallel processing in order to simultaneously execute two types of material quality prediction: material quality prediction that is automatically performed when operation data is saved, and material quality prediction that is performed in response to a command from the rolling setting support system 16. Such a configuration may, for example, be one in which each material quality prediction process is assigned to two or more arithmetic devices and executed.

[0047] (Configuration of rolling setting support system 16) 7 is a block diagram showing an example of the configuration of the rolling setting support system 16. The rolling setting support system 16 includes a memory 161, a calculation unit 162, a data storage unit 163, an input unit 164, an output unit 165, a data transmission / reception unit 166, and a data bus 167.

[0048] The memory 161 stores a rolling setting support software program (hereinafter referred to as the program). The calculation unit 162 executes the program. The data storage unit 163 stores input and output data of the program. The input unit 164 receives input from a user of the rolling setting support system 16. The output unit 165 outputs calculation results to the user of the rolling setting support system 16. The data transmission / reception unit 166 is responsible for transmitting and receiving data between the rolling setting device 11, the data storage device 14, and the material quality prediction device 15. The data bus 167 is a data transmission path within the rolling setting support system 16. The rolling setting support system 16 operates the calculation unit 162 in accordance with the program stored in the memory 161, and performs input and output with the user and data transmission and reception with each device.

[0049] (Rolling setting support processing) FIG. 8 is a flowchart showing the rolling setting support processing executed by the rolling setting support system 16.

[0050] First, in step S1, the rolling setting support system 16 executes a similar actual material selection step of selecting a similar actual material that is similar to the rolled material 4 for which a new rolling control target value is to be determined. Next, in step S2, the rolling setting support system 16 executes a reference actual material selection step of selecting a reference actual material to be used in determining the rolling control target value from the one or more similar actual materials selected in step S1. Next, in step S3, the rolling setting support system 16 executes a target achievement determination step of determining whether the material quality of the one or more reference actual materials selected in step S2 satisfies the target specifications of the rolled material 4 over the entire length in the rolling direction.

[0051] The rolling setting support system 16 moves the process to step S8 when the rolling control target value does not need to be corrected because the material quality of the reference actual material satisfies the target specifications of the rolling material 4 over the entire length in the rolling direction (step S3 No). On the other hand, the rolling setting support system 16 moves the process to step S4 when the rolling control target value needs to be corrected because there are portions that do not satisfy the target specifications (step S3 Yes).

[0052] In step S4, the rolling setting support system 16 executes a material quality evaluation point selection step of selecting a material quality evaluation point for evaluating the material quality when determining the rolling control target value from among a plurality of material quality prediction points along the longitudinal direction of the reference actual material. The material quality evaluation point is selected using a well-known method.

[0053] Next, in step S5, the rolling setting support system 16 executes a rolling control target value editing step in which rolling control target values ​​are edited from the respective values ​​of the reference actual material. Next, in step S6, the rolling setting support system 16 executes a virtual operation data creation step in which virtual operation data is created from the rolling control target values ​​edited in step S5 and operation data indicating the operation conditions of the hot rolling line 3 when rolling the reference actual material. The virtual operation data indicates the operation conditions for operating the hot rolling line 3 based on the rolling control target values.

[0054] Next, in step S7, the rolling setting support system 16 executes a material quality prediction process using virtual operation data to predict the material quality at the material evaluation point using the virtual operation data. When step S7 is completed, the rolling setting support system 16 returns the process to step S3.

[0055] In step S8, the rolling setting support system 16 executes a rolling control target value output step of outputting the rolling control targets of the reference rolled material that satisfy the target specifications as recommended values ​​to the rolling setting device 11, and then ends the rolling setting support processing.

[0056] The details of each of steps S1 to S8 will be explained below in order.

[0057] In the similar proven material selection process of step S1, the rolling setting support system 16 receives specification data of the new rolled material 4 from the rolling setting device 11. A user of the rolling setting support system 16 selects a rolled material 4 that is similar to the specification data of the new rolled material 4 from the specification data of rolled materials 4 already stored in the data storage device 14. Hereinafter, the rolled material whose data is already stored in the data storage device 14 will be referred to as a proven material.

[0058] In order to select a proven material similar to the new rolled material 4, the user of the rolling setting support system 16 searches for proven materials. For example, the target product type or the target thickness of the product is used as a search key for this search. Other data included in the specification data of the rolled material 4, such as the target width of the product or the chemical composition of the slab, may also be used as a search key, or these search keys may be appropriately combined for the search. Furthermore, the specification data of the rolled material may be used not as a search key but as a condition for limiting the range of proven materials to be searched.

[0059] For example, the search is limited to past records whose input time to the hot rolling line 3 is within a certain time, for example, one week, from the time of the search, and from among the past records, a record is searched for that has a target type, target thickness, etc. that is most similar to the new rolled material 4. This makes it easy to select similar past records from the search results. The user of the rolling setting support system 16 selects one or more similar past records from the search results.

[0060] In the reference actual material selection process of step S2, the rolling setup support system 16 displays the material quality prediction data of the similar actual material selected in step S1. The displayed material quality prediction data is data predicted at multiple material quality prediction positions along the longitudinal direction of the rolled material 4. The interval between the material quality prediction positions is preferably equal to or less than the product of the movement speed of the rolled material and the control cycle of the equipment on the hot rolling line 3. For example, if the movement speed of the rolled material is 20 m / s and the control cycle is 0.5 s, the interval between the material quality prediction positions is preferably 10 m or less. However, since there may be equipment on the hot rolling line 3 with different control cycles, the material quality prediction positions used by the rolling setup support system 16 can also be set appropriately by the user.

[0061] The rolling setting support system 16 can display the material prediction data of similar performance materials read from the data storage device 14 when the material prediction position of the material prediction process executed by the material prediction device 15 satisfies the setting of the material prediction position used in the rolling setting support system 16.

[0062] On the other hand, when the material quality prediction position in the material quality prediction process does not satisfy the setting of the material quality prediction position used in the rolling setting support system 16, the rolling setting support system 16 inputs the operation data of similar actual material stored in the data storage device 14 as virtual operation data to the material quality prediction device 15. The rolling setting support system 16 can obtain material quality prediction data of similar actual material by executing material quality prediction at a predetermined position under the conditions of the virtual operation data.

[0063] (Referenced material selection screen 165D1) FIG. 9 is a diagram showing an example of a reference past material selection screen 165D1 for selecting a reference past material from the material quality prediction data of similar past materials in the reference past material selection step.

[0064] In Figure 9, the reference strip selection screen 165D1 displays the unique number (Strip ID) of the rolled strip 4 for each reference strip, the similarity (Similarity) with the new rolled strip 4, the target grade (Grade), the rolling start time (Load Time), and a list of margins (TS Margin, YS Margin, EL Margin) for each material (TS, YS, EL), as well as a selection box for each reference strip.

[0065] Here, the material quality margin is the degree of margin that the material quality of the actual material has relative to the material quality specification value of the product type. For example, it is the minimum value of the difference between the material quality value over the entire length of the rolled material 4 and the material quality specification value of the product type. A negative material quality margin indicates that the material quality value has reached the material quality specification value.

[0066] There are various other ways to display the material prediction data for selecting the reference performance material, and for example, statistical values ​​such as the average value of the material over the entire length of the rolled material 4, its standard deviation, maximum value, and minimum value may be displayed.

[0067] The user of the rolling mill setup support system 16 selects a reference actual material to be used for rolling mill setup support based on the displayed material quality prediction data. Typically, from among multiple similar actual materials, a similar actual material with material quality prediction data that meets the material quality target over the entire length of the rolled material 4 is selected. When there are multiple similar actual materials with material quality prediction data that meet the material quality target, for example, the most recent similar actual material is selected. Alternatively, from among multiple similar actual materials with material quality prediction data that meet the material quality target, a similar actual material with the smallest material quality variation over the entire length of the rolled material 4 may be selected, or a similar actual material with the highest similarity to the new rolled material 4 for which control target values ​​are being determined may be selected. After selecting a similar actual material, the user presses the "OK" button to confirm the selection of the similar actual material.

[0068] The rolling setting support system 16 reads the rolling control target values ​​of the selected reference actual material from the data storage device 14.

[0069] In the target achievement determination step of step S3, the rolling setting support system 16 compares the material quality prediction result of the reference actual material with the material quality target value of the specification data, and accepts input of the result of the user's judgment as to whether or not it is necessary to correct the rolling control target value of the reference actual material. If it is necessary to correct the rolling control target value of the reference actual material (step S3 Yes), the rolling setting support system 16 proceeds to a material quality evaluation point selection step (step S4). If it is not necessary to correct the rolling control target value of the reference actual material (step S3 No), the rolling setting support system 16 transitions to a rolling control target value output step (step S8).

[0070] In the material evaluation point selection step of step S4, the rolling setting support system 16 displays the change in material quality prediction data along the longitudinal direction of the rolled material for the reference actual material selected in the reference actual material selection step (step S2). The user of the rolling setting support system 16 selects from the displayed changes in material quality evaluation points to be used in determining the rolling control target values ​​for the new rolled material.

[0071] (Material evaluation point selection screen 165D2) 10 is a diagram showing an example of a material evaluation point selection screen 165D2 displayed to the user in the material evaluation point selection step. Data is displayed for each material prediction point on a graph with the horizontal axis representing the position in the longitudinal direction of the rolled material and the vertical axis representing the material quality. The user of the rolling setting support system 16 can select one or more material evaluation points to be used in determining the rolling control target values ​​for the new rolled material by using the input device to select an appropriate point from the material prediction points of the reference actual material displayed.

[0072] 10 shows an example in which tensile strength is displayed as the material, but it is also possible to switch to displaying other materials. Also, other display methods such as displaying multiple types of materials together may be used.

[0073] First, a representative point having the most frequent value of the material is selected as the material evaluation point. In many cases, a material evaluation point near the center of the rolled material in the longitudinal direction can be selected as this representative point ("Point 2" in Figure 10). Next, a point to focus on when correcting the control target value is selected. The selected point is typically a point with a small margin relative to the material specification value. However, other points such as points with large fluctuations in the longitudinal direction ("Point 1" and "Point 3" in Figure 10) or points where the trend of fluctuations in the longitudinal direction changes significantly ("Point 1" and "Point 3" in Figure 10) may also be selected.

[0074] (Rolling control target value editing screen 1615D3) Fig. 11 is a diagram showing an example of a rolling control target value editing screen 1615D3 displayed to the user in the rolling control target value editing process of step S5. The rolling control target value editing screen 165D3 displays specification data received from the upper system 2 regarding the rolled material (Target) for which a new control target value is to be determined. In the example of Fig. 11, the length, thickness, and chemical composition (mass composition ratios of "C", "Mn", "Si", ..., "Nb", "Ti", "V", ...) of the slab and product (Strip) are displayed. Other specification data may be added to the display, or a separate screen for displaying detailed specifications may be provided.

[0075] The rolling control target value editing screen 165D3 provides an editing area for the rolling control target value. The rolling control target value of the reference actual material selected in the reference actual material selection process is input as a default value in the editing area. FIG. 11 shows, as an example, the setting of the number of passes (Num.) for roughing and finishing rolling, and the thickness of the rolled material at the exit of each pass (Thi.1, Thi.2, ...). Furthermore, FIG. 11 displays the speed (V.1, V.2, ...) for each position (P.1, P.2, ...) over the entire length of the rolled material, the temperature control target value of the rolled material, and the setting of the ROT cooling equipment. As temperature control targets, an example is shown in which the temperature of the rolled material at the entrance of the finishing rolling mill 32 (Finishing Entering Temperature: FET), the temperature of the rolled material at the exit of the finishing rolling mill 32 (Finishing Delivery Temperature: FDT), and the temperature of the rolled material at the entrance of the coiler 34 (Coiling Temperature: CT) are input as specified values. Also, an example is shown in which a preset setting menu named "FFFFMMSSSS" is selected as the specified value for the ROT cooling equipment 33.

[0076] In this example, the numerous cooling nozzles provided in the ROT cooling equipment 33 are divided into 10 zones and controlled. "F," "M," and "S" represent the target cooling state of the rolled material in each zone: fast, medium, and slow, respectively. The target cooling state is achieved by opening or closing the cooling nozzles. For example, "F" opens all cooling nozzles in the zone, "M" opens half of the cooling nozzles, and "S" closes all cooling nozzles. The user edits the input values ​​in the editing zone and presses the "OK" button to reflect the edited values. The user presses the "Predict" button to create virtual operation data and executes the material quality prediction process of step S7 using the input values ​​in the rolling control target value editing screen 165D3 based on this virtual operation data.

[0077] In the example shown in FIG. 11, the speed over the entire length of the rolled material 4 is set by the number of speed change points excluding the leading and trailing ends of the rolled material 4, the position of each speed change point (such as "P.1"), and the speed at each position (such as "V.1"). Between each speed change point, the speed may be set to change at a constant acceleration. Furthermore, the speed at the leading end and the tail end of the rolled material 4 may be set to be the same as the speed at the first speed change point on the leading end side of the rolled material 4 and the speed at the final speed change point on the tail end side, respectively.

[0078] In the virtual operation data creation step of step S6, the rolling setting support system 16 creates virtual operation data using the operation data of the reference actual material stored in the data storage device 14.

[0079] The virtual operation data can be expressed, for example, by dividing the history of the temperature T and strain rate SR (Strain Rate) at each material evaluation point from Time_0, the time when the strip is fed into the hot rolling line 3, to Time_N, the time when the strip arrives at the winder 34, into multiple steps as follows: [Table 1]

[0080] In Table 1 above, odd-numbered rows, such as the first row for time Time_0 and the third row for time Time_1, represent the temperature T and strain rate SR of the material evaluation point at each time point Time. Even-numbered rows, such as "S" in the second row and "D" in the fourth row, represent whether or not the material evaluation point is rolled during the period represented by that row. "S" means no rolling, and "D" means rolling.

[0081] The above example shows that the material evaluation point is not rolled between time Time_0 and time Time_1, but is rolled between time Time_1 and time Time_2. Between each time, the temperature T and strain rate SR change linearly. For example, the temperature T at time t between time Time_1 and time Time_2 can be calculated using a linear interpolation formula as shown in the following equation (1). T(t)=[(T_1-T_0) / (Time_1-Time_0)]*(t-Time_0)+T_0 …(1)

[0082] Furthermore, Time, T, and SR of the virtual operation data can be determined in the same manner, for example, by the following equation (2). Ymod=Yref+ΔY / ΔS …(2) Here, Y is Time, T, or SR.

[0083] Here, Ymod is Time, T, or SR of the virtual operation data, and Yref is Time, T, or SR of the operation data of the reference actual material. S is a control target value as shown in Fig. 11. The increment ΔY of Time, T, or SR relative to the increment ΔS of the control target value is well known in the rolling field, and is disclosed, for example, in "Theory and Practice of Plate Rolling," 2010, Iron and Steel Institute of Japan, etc.

[0084] As shown in the above formula (2), if the rolling control target value remains the same as the value of the reference actual material, the virtual operation data may be the same as the operation data of the reference actual material. If the control target value of the reference actual material is changed, the virtual operation data may be obtained by adding the change to the operation data of the reference actual material.

[0085] (Comparison of reference actual material operation data and hypothetical operation data) Fig. 12 is a graph comparing the operational data of the reference actual material with the hypothetical operational data. Fig. 12 shows an example in which FET (the temperature of the rolled material at the inlet of the finishing mill 32) and CT (the temperature of the rolled material at the inlet of the winder 34) are left at the target values ​​of the reference actual material, and only FDT (the temperature of the rolled material at the outlet of the finishing mill 32) is increased by 20°C from the target value of the reference actual material.

[0086] In FIG. 12, the solid line indicates the temperature data of the rolled material extracted from the operational data of the reference actual material, and the dashed line indicates the virtual operational data obtained by adding the change in the FDT target value to the actual operational data.

[0087] In order to set the FDT (the temperature of the rolled material at the exit of the finishing mill 32) to a specified control target value, the cooling amount of the cooling device located between the entrance of the finishing mill 32 at the FET measurement point and the exit of the finishing mill at the FDT measurement point is reduced. As a result, the temperature history of the virtual operation data becomes higher than the actual operation data (see the dashed line in Figure 12). The difference (discrepancy) between the control target value of the reference actual material and the actual operation data is carried over to the virtual operation data as is. By creating virtual operation data based on the actual operation data in this way, the effects of imperfections and aging of each piece of equipment on the hot rolling line 3 can be more accurately incorporated into the prediction.

[0088] (Comparison of reference actual material operating data and virtual operating data for each material evaluation point) Figure 13 is a graph comparing the operational data of the reference actual material with the virtual operational data at multiple material evaluation points. The virtual operational data is created for each material evaluation point selected in the material evaluation point selection process (step S4). As an example, Figure 13 shows the actual operational data with a solid line and the virtual operational data with a dashed line for each of the three material evaluation points (Point 1, Point 2, Point 3) in Figure 10.

[0089] In step S7, a material quality prediction process using virtual operation data, the rolling setup support system 16 outputs the virtual operation data created in step S6 to the material quality prediction device 15 and instructs the device to predict the material quality at the material quality evaluation point. The material quality prediction device 15 receives the material quality prediction instruction and, using the virtual operation data and the chemical composition of the slab received from the rolling setup support system 16, predicts the material quality of the rolled material at the material quality evaluation point when the finishing mill 4 is operated and rolled under the conditions of the virtual operation data. Various well-known techniques can be used to predict the material quality of hot rolling. For example, the series of mathematical models described in "Material Quality Control and Prediction" (1988, Iron and Steel Institute of Japan) pp. 187-199 are used to calculate predicted values ​​for the tensile strength, yield strength, elongation, and hardness of the rolled material. Once the material quality prediction for the virtual operation data is complete, the material quality prediction device 15 outputs the material quality prediction data to the rolling setup support system 16.

[0090] The material quality prediction process using the virtual operation data in step S7 ends when the rolling setting support system 16 acquires the material quality prediction data from the material quality prediction device 15.

[0091] The rolling setting support system 16 returns the process to the target achievement determination step of step S3, and determines whether the material quality prediction result for the virtual operation data satisfies the target value for the material quality. Thereafter, steps S3 to S7 are repeated until the material quality prediction result satisfies the target value. However, the material quality evaluation point selection step of step S4 may be executed only the first time, and the material quality evaluation point selected the first time may be used from the second time onwards.

[0092] In the rolling control target value output process of step S8, the rolling setting support system 16 determines the rolling control target value of the reference actual material as the control target value of the new rolling material, and outputs it to the rolling setting device 11.

[0093] In the above-mentioned rolling setting support processing, the user of the rolling setting support system 16 makes judgments or selections in some steps, but the rolling setting support system 16 may automatically make judgments or selections by determining criteria for judgment or selection in advance. In addition, the criteria for judgment or selection may be determined using statistical analysis of data or machine learning, and may be automatically updated as learning progresses.

[0094] For example, a relationship model between the specifications of a reference performance material and the material evaluation points of previously selected reference performance materials is learned in advance, and then, in the evaluation point selection step (step S4 (FIG. 8)), multiple material evaluation points output using the specifications of the currently selected reference performance material as input may be selected for this relationship model.

[0095] The technology disclosed herein is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the technology disclosed herein, and are not necessarily limited to those including all of the described configurations. Furthermore, as long as there is no contradiction, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add part or all of the configuration of one embodiment to part or all of the configuration of another embodiment. Furthermore, it is possible to add, delete, replace, integrate, or distribute part of the configuration of each embodiment. Furthermore, the configurations and processes described in the embodiments can be distributed, integrated, or replaced as appropriate based on processing efficiency or implementation efficiency. [Explanation of symbols]

[0096] 1: Hot rolling control system, 2: Host system, 3: Hot rolling line, 3: Rolling line, 4: Rolled material, 11: Rolling setting device, 12: Rolling control device, 13: Operation data collection device, 14: Data storage device, 15: Material quality prediction device, 16: Rolling setting support system, 31: Roughing mill, 32: Finishing rolling mill, 33: ROT cooling equipment, 34: Winder, 161: Memory, 162: Calculation unit, 163: Data storage unit, 164: Input unit, 165: Output unit, 165D1: Reference actual material selection screen, 165D2: Material quality evaluation point selection screen, 165D3: Rolling control target value editing screen, 166: Data transmission / reception unit, 167: Data bus.

Claims

1. A rolling setting support system that supports the determination of control target values ​​to be set in a rolling mill when rolling a material to be rolled, a determination unit that determines whether the material quality of a reference performance material having specifications similar to those of the rolled material satisfies the target specifications across the rolling direction; an evaluation point selection unit that, when the judgment unit judges that the material does not satisfy the target specification, selects a plurality of material evaluation points for calculating an evaluation of the material to be used when determining the control target value from points in the rolling direction of the reference actual material; a control target value output unit that determines and outputs the control target value to be set in the rolling mill; and The determination unit determining whether the material at the plurality of material evaluation points selected by the evaluation point selection unit satisfies the target specification; The control target value output unit The control target value to be set in the rolling mill is determined and output based on the reference actual material whose material quality at the plurality of material evaluation points is determined by the determination unit to satisfy the target specification. A rolling setting support system characterized by:

2. A rolling setting support system that supports the determination of control target values ​​to be set in a rolling mill when rolling a material to be rolled, a determination unit that determines whether the material quality of a reference performance material having specifications similar to those of the rolled material satisfies the target specifications across the rolling direction; an evaluation point selection unit that, when the judgment unit judges that the material does not satisfy the target specification, selects a plurality of material evaluation points for calculating an evaluation of the material to be used when determining the control target value from points in the rolling direction of the reference actual material; a control target value editing unit that edits the control target value; a control target value output unit that determines and outputs the control target value to be set in the rolling mill; and The determination unit determining whether the prediction result of the material quality based on the control target values ​​edited by the control target value editing unit at the plurality of material quality evaluation points selected by the evaluation point selection unit or operation data indicating the operating conditions of the rolling mill when the reference actual material was rolled satisfies the target specification; The control target value output unit When it is determined that the predicted results of the material properties at the selected plurality of material property evaluation points satisfy the target specifications, the control target values ​​to be set in the rolling mill are determined and output based on the control target values ​​that satisfy the target specifications or the reference actual material. A rolling setting support system characterized by:

3. The rolling setting support system according to claim 1 or 2, The evaluation point selection unit learns a relationship model between the specifications of the reference performance material and the material evaluation points of the reference performance material selected in the past, and selects a plurality of the material evaluation points outputted from the relationship model using the specifications of the reference performance material selected this time as an input. A rolling setting support system characterized by:

4. The rolling setting support system according to claim 1, a similar performance material selection unit that selects a similar performance material having specifications similar to those of the material to be rolled from performance materials that have been rolled in the past by the rolling mill; a reference performance material selection unit that selects the reference performance material from one or more of the similar performance materials; a control target value editing unit that displays an editing screen for editing the control target value; A rolling setting support system comprising:

5. The rolling setting support system according to claim 2, a similar performance material selection unit that selects a similar performance material having specifications similar to those of the material to be rolled from performance materials that have been rolled in the past by the rolling mill; a reference performance material selection unit that selects the reference performance material from one or more of the similar performance materials; A rolling setting support system comprising:

6. The rolling setting support system according to claim 4 or 5, a virtual operation data creation unit that creates virtual operation data that indicates the operating conditions of the rolling mill when the reference actual material is rolled by operating the rolling mill based on the control target values, from the control target values ​​edited by the control target value editing unit and operation data that indicates the operating conditions of the rolling mill when the reference actual material is rolled; a material quality prediction unit that predicts the material quality at the material quality evaluation point based on the virtual operation data; A rolling setting support system comprising:

7. The rolling setting support system according to claim 6, The determination unit determining whether the material predicted by the material prediction unit satisfies the target specifications; The control target value output unit When the determining unit determines that the material satisfies the target specifications, the control target value when the virtual operation data was created is determined as the control target value to be set for the rolling mill, and is output. A rolling setting support system characterized by:

8. The rolling setting support system according to claim 7, until the determining unit determines that the material satisfies the target specifications. the evaluation point selection unit selects a plurality of the material evaluation points, the control target value editing unit accepts editing of the control target value; the virtual operation data creation unit creates the virtual operation data based on the control target values ​​edited by the control target value editing unit, The material quality prediction unit predicts the material quality at the plurality of material quality evaluation points selected by the evaluation point selection unit based on the virtual operation data created by the virtual operation data creation unit. A rolling setting support system characterized by:

9. A rolling setting support method executed by a rolling setting support system that supports determination of control target values ​​to be set in a rolling mill when rolling a material to be rolled, comprising: a determination step of determining whether the material quality of a reference performance material having specifications similar to those of the rolled material satisfies the target specifications across the rolling direction; an evaluation point selection step of selecting, when it is determined in the determination step that the material does not satisfy the target specifications, a plurality of material evaluation points for calculating an evaluation of the material to be used when determining the control target value from points in the rolling direction of the reference actual material; a control target value output step of determining and outputting the control target value to be set in the rolling mill; and In the determination step, determining whether the material at the plurality of material evaluation points selected in the evaluation point selection step satisfies the target specifications; In the control target value output step, The control target value to be set in the rolling mill is determined and output based on the reference actual material whose material quality at the plurality of material evaluation points is determined to satisfy the target specification in the determining step. A rolling setting support method characterized by:

10. A rolling setting support method executed by a rolling setting support system that supports determination of control target values ​​to be set in a rolling mill when rolling a material to be rolled, comprising: a determination step of determining whether the material quality of a reference performance material having specifications similar to those of the rolled material satisfies the target specifications across the rolling direction; an evaluation point selection step of selecting, when it is determined in the determination step that the material does not satisfy the target specifications, a plurality of material evaluation points for calculating an evaluation of the material to be used when determining the control target value from points in the rolling direction of the reference actual material; a control target value editing step of editing the control target value; a control target value output step of determining and outputting the control target value to be set in the rolling mill; and The determination step includes: determining whether the prediction result of the material quality based on the control target values ​​edited in the control target value editing step at the plurality of material quality evaluation points selected in the evaluation point selection step or operation data indicating the operating conditions of the rolling mill when the reference actual material was rolled satisfies the target specification; The control target value output step includes: When it is determined that the predicted results of the material properties at the selected plurality of material property evaluation points satisfy the target specifications, the control target values ​​to be set in the rolling mill are determined and output based on the control target values ​​that satisfy the target specifications or the reference actual material. A rolling setting support system characterized by:

11. The rolling setting support method according to claim 9, a similar performance material selection step of selecting a similar performance material having specifications similar to those of the material to be rolled from performance materials previously rolled by the rolling mill; a reference performance material selection step of selecting the reference performance material from one or more of the similar performance materials; a control target value editing step of displaying an editing screen for editing the control target value; A rolling setting support method comprising:

12. The rolling setting support method according to claim 10, a similar performance material selection step of selecting a similar performance material having specifications similar to those of the material to be rolled from performance materials previously rolled by the rolling mill; a reference performance material selection step of selecting the reference performance material from one or more of the similar performance materials; A rolling setting support method comprising:

13. The rolling setting support method according to claim 11 or 12, a virtual operation data creation step of creating virtual operation data indicating the operating conditions of the rolling mill when the reference actual material is rolled by operating the rolling mill based on the control target values, from the control target values ​​edited in the control target value editing step and operation data indicating the operating conditions of the rolling mill when the reference actual material is rolled; a material prediction step of predicting the material quality at the material quality evaluation point based on the virtual operation data; A rolling setting support method comprising:

14. The rolling setting support method according to claim 13, The determination step includes: determining whether the material predicted by the material prediction step satisfies the target specifications; The control target value output step includes: When it is determined in the determination step that the material satisfies the target specifications, the control target value when the virtual operation data was created is determined as the control target value to be set in the rolling mill, and output. A rolling setting support method characterized by:

15. The rolling setting support method according to claim 14, until it is determined in the determining step that the material satisfies the target specifications. The evaluation point selection step selects a plurality of the material evaluation points; The control target value editing step accepts an edit of the control target value; the virtual operation data creation step creates the virtual operation data based on the control target values ​​edited in the control target value editing step; The material quality prediction step predicts the material quality at the plurality of material quality evaluation points selected by the evaluation point selection step based on the virtual operation data created by the virtual operation data creation step. A rolling setting support method characterized by:

Images