Automatic control method and device for camber of medium and thick plates

By constructing wedge and bending models, the target wedge value and bending amount of roll joints are automatically calculated, which solves the problem of sickle bend in medium and thick plate production, improves control accuracy and automation level, and reduces equipment damage and manual dependence.

CN116037666BActive Publication Date: 2025-08-29BEIJING SHOUGANG AUTOMATION INFORMATION TECH
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Patent Information

Application Number
CN202211685050.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-27
Publication Date
2025-08-29
Estimated Expiration
2042-12-27

AI Technical Summary

Technical Problem

The sickle bending phenomenon in the production process of medium and thick plates leads to the problem of plate shape after rolling of steel plates, affecting the material formation rate and mill stability. The existing control methods have the risk of equipment damage and relying on manual experience.

Method used

By identifying the steel plate profile data, building a wedge model and bend model, and automatically calculating the target wedge value and bend quantity of roll joints, automatic control of sickle bend is achieved.

Benefits of technology

It improves the accuracy and automation level of sickle bending control, reduces the risk of equipment damage and labor intensity, and improves the stability of the production line.

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Abstract

The present invention discloses a method and device for automatically controlling the sickle bending of medium and thick plates. The method comprises the following steps: identifying the profile data of the steel plate at the exit of each pass; then obtaining equipment data, process data, measured data, and test result data; constructing a wedge model for the exit of the just-rolled pass, and calculating the thickness wedge amount at the exit of the just-rolled pass; then constructing a target value model for the thickness wedge at the exit of the upcoming pass, and calculating the target value for the thickness wedge at the exit of the upcoming pass; constructing a target wedge model for the roll gap of the upcoming pass, and calculating the target wedge value for the roll gap of the upcoming pass; and finally, constructing a bending adjustment model based on the target wedge value for the roll gap of the upcoming pass, and calculating the bending adjustment amount for the upcoming pass. In this way, the complete planar profile shape of the steel plate at the exit of each pass can be automatically identified, and a bending adjustment model can be constructed based on the current actual rolling situation data and test result data, so as to automatically calculate the compensation value for the roll gaps on both sides of the next pass.
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Description

Technical Field

[0001] The present invention relates to the technical field of steel rolling, and in particular to an automatic control method and device for cambering of medium and thick plates. Background Art

[0002] During the production of medium and thick plates, the steel plates may bend due to reasons such as the wedge shape of the incoming material, the tilt of the rolls, the temperature deviation on both sides of the rolled piece, the centering problem of the side guide plates, and the rigidity deviation on both sides of the frame. This will cause problems with the shape of the steel plates after rolling. This is one of the main factors affecting the product yield. At the same time, it may also cause steel plate scrap and steel jamming accidents in the rolling mill area, affecting the rolling stability of the production line.

[0003] Medium and heavy plate production lines typically employ two measures to address camber during rolling. One involves clamping the plate from insertion to release, preventing deviation and camber during rolling. The other involves operators using surveillance cameras to monitor the thickness and bending of the plate on both sides and manually adjusting the roll gap compensation based on experience. Both methods can help reduce camber, but they cannot effectively resolve the problem and have numerous drawbacks. The first method can easily damage the centering equipment, while the second relies entirely on operator experience, resulting in poor control accuracy. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed to provide a method and device for automatic control of sickle bending of medium and thick plates, which can reduce labor intensity, improve control accuracy and enhance the level of automation control of the production line without damaging the equipment.

[0005] According to a first aspect of the present invention, a method for automatically controlling camber of a medium and thick plate is provided, comprising:

[0006] Identify the profile data of the steel plate at the exit of each pass;

[0007] Obtain equipment data, process data, measured data and test result data;

[0008] Based on the acquired equipment data, process data and measured data, a wedge-shaped model of the exit of the just-pass rolling is constructed, and the thickness wedge amount of the exit of the just-pass rolling is calculated;

[0009] According to the thickness wedge value at the exit of the just-rolled pass, process data, and steel plate profile data, a target thickness wedge value model for the exit of the upcoming pass is constructed, and the target thickness wedge value for the exit of the upcoming pass is calculated.

[0010] According to the exit thickness wedge value of the just-rolled pass, the exit thickness wedge target value of the upcoming pass, as well as the equipment data and process data, a roll gap target wedge model for the upcoming pass is constructed, and the roll gap target wedge value for the upcoming pass is calculated;

[0011] According to the target wedge value of the roll gap in the upcoming rolling pass, a bending adjustment model is constructed to calculate the bending adjustment amount of the upcoming rolling pass.

[0012] According to a second aspect of the present invention, there is provided an automatic camber control device for medium and thick plates, comprising:

[0013] Identification module, used to identify the contour data of the steel plate at the exit of each pass;

[0014] Data acquisition module, used to obtain equipment data, process data, measured data and test result data;

[0015] The first processing module is used to construct a wedge shape model of the exit of the just-pass rolling according to the acquired equipment data, process data and measured data, and calculate the thickness wedge amount of the exit of the just-pass rolling;

[0016] The second processing module is used to build a target value model for the thickness wedge at the exit of the upcoming rolling pass based on the thickness wedge at the exit of the just-rolled pass, process data, and profile data of the steel plate, and calculate the target value for the thickness wedge at the exit of the upcoming rolling pass;

[0017] The third processing module is used to construct a target roll gap wedge model for the upcoming rolling pass based on the exit thickness wedge of the just-completed rolling pass, the target exit thickness wedge value of the upcoming rolling pass, equipment data, and process data, and calculate the target roll gap wedge value of the upcoming rolling pass;

[0018] The fourth processing module is used to construct a bending adjustment model based on the target wedge value of the roll gap of the upcoming rolling pass, and calculate the bending adjustment amount of the upcoming rolling pass.

[0019] According to the third aspect of the present invention, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the aforementioned automatic control method for sickle bending of medium and thick plates when executing the computer program.

[0020] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the aforementioned automatic control method for camber of medium and thick plates is implemented.

[0021] The above one or more technical solutions in the embodiments of this specification have at least the following technical effects:

[0022] The embodiments of this specification provide a method and device for automatically controlling the camber of medium and heavy plates. These methods automatically identify the complete planar profile of the exiting steel plate at each pass, as well as the plate's bending direction and degree. Based on current actual rolling data and test results, they construct a camber adjustment model and automatically calculate the compensation value for the roll gap on both sides of the next pass. This control method reduces labor intensity, improves control accuracy, and enhances the automation level of the production line without damaging the equipment.

[0023] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be construed as limiting the present invention. Throughout the accompanying drawings, the same reference figures represent the same components.

[0025] In the attached figure:

[0026] Figure 1 A schematic diagram of an electronic device in an embodiment of the present invention is shown.

[0027] Figure 2 A flow chart of an automatic control method for camber of medium and thick plates in an embodiment of the present invention is shown.

[0028] Figure 3 A block diagram of an automatic control device for cambering of medium and thick plates in an embodiment of the present invention is shown.

[0029] icon:

[0030] 100 - electronic equipment; 10 - automatic control device for sickle bending of medium and thick plates; 11 - identification module; 12 - data acquisition module; 13 - first processing module; 14 - second processing module; 15 - third processing module; 16 - fourth processing module; 20 - memory; 30 - processor; 40 - communication unit. DETAILED DESCRIPTION

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0032] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort are intended to fall within the scope of protection of the present invention.

[0033] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0034] In the description of the present invention, it should also be noted that, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; they may refer to mechanical connections or electrical connections; they may refer to direct connections or indirect connections through an intermediate medium; and they may refer to internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0035] See also Figure 1 , Figure 1 This is a structural block diagram of an electronic device 100 provided in this embodiment. Figure 1 As shown, the electronic device may include an automatic control device for sickle bending of medium and thick plates 10, a memory 20, a processor 30 and a communication unit 40. The memory 20 stores machine-readable instructions executable by the processor 30. When the electronic device 100 is running, the processor 30 and the memory 20 communicate through a bus, and the processor 30 executes the machine-readable instructions and executes the automatic control method for sickle bending of medium and thick plates.

[0036] The memory 20, processor 30, and communication unit 40 are electrically connected to each other, directly or indirectly, to enable signal transmission or interaction. For example, these components may be electrically connected via one or more communication buses or signal lines. The plate camber automatic control device 10 includes at least one software functional module stored in the memory 20 in the form of software or firmware. The processor 30 is configured to execute the executable module stored in the memory 20 (e.g., the software functional module or computer program included in the plate camber automatic control device 10).

[0037] Among them, the memory 20 can be, but is not limited to, random access memory (RAM), read only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0038] In some embodiments, the processor 30 is used to perform one or more functions described in this embodiment. In some embodiments, the processor 30 may include one or more processing cores (e.g., a single-core processor (S) or a multi-core processor (S)). By way of example only, the processor 30 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), an application-specific instruction set processor (ASIP), a graphics processing unit (GPU), a physical processing unit (PPU), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic device (PLD), a controller, a microcontroller unit, a reduced instruction set computer (RISC) or a microprocessor, or any combination thereof.

[0039] For ease of explanation, only one processor is described in the electronic device 100. However, it should be noted that the electronic device 100 in this embodiment may also include multiple processors, so the steps performed by one processor described in this embodiment may also be performed jointly or individually by multiple processors. For example, if the processor of the server performs step A and step B, it should be understood that step A and step B may also be performed jointly by two different processors or individually in one processor. For example, a processor performs step A and a second processor performs step B, or the processor and the second processor perform steps A and B together.

[0040] In this embodiment, the memory 20 is used to store programs, and the processor 30 is used to execute the programs after receiving execution instructions. The process definition method disclosed in any implementation of this embodiment can be applied to the processor 30 or implemented by the processor 30.

[0041] The communication unit 40 is used to establish a communication connection between the electronic device 100 and other devices through a network, and to send and receive data through the network.

[0042] In some embodiments, the network can be any type of wired or wireless network, or a combination thereof. By way of example only, the network can include a wired network, a wireless network, a fiber optic network, a telecommunications network, an intranet, the Internet, a local area network (LAN), a wide area network (WAN), a wireless local area network (WLAN), a metropolitan area network (MAN), a wide area network (WAN), a public switched telephone network (PSTN), a Bluetooth network, a ZigBee network, a near field communication (NFC) network, or any combination thereof.

[0043] In this embodiment, the electronic device 100 can be, but is not limited to, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), or other electronic devices. This embodiment does not impose any restrictions on the specific type of electronic device.

[0044] Understandably, Figure 1 The structure shown is for illustration only. The electronic device 100 may also have Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown. Figure 1 The components shown may be implemented in hardware, software, or a combination thereof.

[0045] based on Figure 1 This embodiment provides a method for automatically controlling the camber of a medium and thick plate. Figure 1 The electronic device 100 shown in FIG. 1 is executed based on the following Figure 1 The structure diagram of the electronic device 100 shows the steps of the automatic control method for the sickle camber of the medium and thick plate provided in this embodiment. Figure 2 As shown, the automatic control method for camber of medium and thick plates includes steps 101 to 106:

[0046] Step 101: Identify the contour data of the steel plate at the exit of each pass;

[0047] The number of passes can be multiple, and this embodiment is described by taking 14 as an example. The contour data of the steel plate includes the bending direction and the bending curvature.

[0048] Step 102: Obtain equipment data, process data, measured data, and test result data;

[0049] Among them, the equipment data includes the spacing between the pressing screws on both sides and the average stiffness of the rolling mill; the process data includes the pass number, entrance width, entrance thickness, exit thickness, and plasticity coefficient; the measured data includes the rolling force on the transmission side, the rolling force on the operating side, the roll gap on the transmission side, and the roll gap on the operating side.

[0050] Step 103: constructing a wedge shape model at the exit of the just-pass rolling process based on the acquired equipment data, process data, and measured data, and calculating the thickness wedge shape at the exit of the just-pass rolling process;

[0051] Among them, the wedge-shaped model at the exit of the just-pass rolling is:

[0052]

[0053] Where ΔH i+1 is the exit wedge of the just-rolled pass, i is the number of the just-rolled pass, Wi is the entrance width of the just-rolled pass, L S is the distance between the hold-down screws on both sides of the rolling mill, ΔSi is the difference in roll gap between the operating side and the transmission side just after the rolling pass, ΔFi is the difference in rolling force between the operating side and the transmission side just after the rolling pass, ΔS0 is the current plate foundation leveling parameter, and K is the stiffness coefficient.

[0054] Step 104: constructing a target thickness wedge value model for the exit of the upcoming pass based on the thickness wedge value at the exit of the just-completed pass, process data, and profile data of the steel plate, and calculating the target thickness wedge value for the exit of the upcoming pass;

[0055] The target value model of the thickness wedge at the exit of the next rolling pass is:

[0056]

[0057] Where Δh i+1 is the exit thickness of the upcoming rolling pass; i is the number of the pass just rolled; ΔH i+1 H is the exit wedge shape after the rolling pass. i+1 is the entrance thickness of the upcoming rolling pass; W i+1 is the entrance width of the upcoming rolling pass; ρ i is the detected bending curvature of the steel plate that has just been rolled; when the bending direction is the transmission side, k = 1, when the bending direction is the operation side, k = -1.

[0058] Step 105: Based on the exit thickness wedge value of the just-rolled pass, the exit thickness wedge target value of the upcoming pass, equipment data, and process data, a roll gap target wedge model for the upcoming pass is constructed, and the roll gap target wedge value for the upcoming pass is calculated;

[0059] The target wedge shape model of the roll gap before the next rolling pass is:

[0060]

[0061] Wherein, ΔS is the target value of the exit thickness wedge of the upcoming rolling pass; L S W is the distance between the pressing screws on both sides of the rolling mill. i+1 is the entrance width of the upcoming rolling pass; Q is the plasticity coefficient, K is the stiffness coefficient, is the entrance width of the upcoming rolling pass, ΔH i+1 is the exit wedge shape after the rolling pass, Δh i+1 is the exit wedge target value of the upcoming rolling pass, and ΔS0 is the current plate foundation leveling parameter.

[0062] Step 106: Based on the target roll gap wedge value of the upcoming rolling pass, a bending adjustment model is constructed to calculate the bending adjustment amount of the upcoming rolling pass.

[0063] The bending model is:

[0064] ΔS * =a*ΔS

[0065] Where, ΔS * is the bending adjustment amount; a is the model parameter, and a is set to 0.5.

[0066] This embodiment is described by taking the current plate steel grade as NV A32, the blank size as 200.0x1850.0x2798.0mm, and the target plate size as 13.1x2305mm as an example. The blank thickness is 200mm, the target plate thickness is 13.1mm, and the relevant parameters for rolling the current plate are shown in Tables 1, 2, 3, and 4. Among them, Table 1 is the equipment data, Table 2 is the process data, Table 3 is the measured data, and Table 4 is the detected steel plate profile data.

[0067] Parameter name Numerical Distance between press screws on both sides / mm 4800 Average stiffness of rolling mill / kN / mm 4525

[0068] Table 1 Equipment data

[0069]

[0070]

[0071] Table 2 Process data

[0072]

[0073] Table 3 Measured data

[0074]

[0075]

[0076] Table 4 Detected steel plate profile data

[0077] It can be seen from Table 2 that the number of loaded passes for this steel plate is 14, and it can be seen from Table 4 that the steel plate profile data detected in the first 8 passes of this steel plate are invalid.

[0078] Based on the current equipment data, process data, measured data, etc., a wedge shape model of the exit of the just-pass rolling is constructed to calculate the thickness wedge shape of the exit of the just-pass rolling. The calculation model is: The current plate foundation leveling parameter ΔS0 is -0.15.

[0079] Based on the thickness wedge value at the exit of the just-rolled pass, combined with process data and the plane profile shape data of the steel plate detected by the testing equipment, a target value model for the thickness wedge value at the exit of the upcoming rolling pass is constructed to calculate the target value for the thickness wedge value at the exit of the upcoming rolling pass. The calculation model is: It can be seen from Table 4 that the detected bending directions of the steel plates are all on the transmission side, so k = 1.0.

[0080] Based on the exit thickness wedge value of the just-rolled pass and the exit thickness wedge target value of the upcoming pass, as well as equipment data and process data, a roll gap target wedge model for the upcoming pass is constructed to calculate the roll gap target wedge value for the upcoming pass. The calculation model is:

[0081]

[0082] Based on the target wedge value of the roll gap in the upcoming rolling pass, a bending adjustment model is constructed to calculate the bending adjustment amount of the upcoming rolling pass. The calculation model is: ΔS * =a*ΔS, where a is 0.5.

[0083] According to the above steps, the calculation process values ​​and bending adjustment values ​​are shown in Table 5.

[0084]

[0085] Table 5 Model calculated values

[0086] The embodiments of this specification provide an automatic camber control method for medium and heavy plate. This method automatically identifies the complete planar profile of the exiting steel plate at each pass, identifies the plate's bending direction and degree, constructs a camber adjustment model based on current actual rolling data and test results, and automatically calculates the compensation value for the roll gap on both sides of the next pass. This control method reduces labor intensity, improves control accuracy, and enhances the automation level of the production line without damaging the equipment.

[0087] Based on the same inventive concept, combined Figure 3 As shown, the embodiment of the present invention further provides an automatic control device 10 for camber of medium and thick plates, comprising:

[0088] Identification module 11, used to identify the contour data of the steel plate at the exit of each pass;

[0089] Data acquisition module 12, used to acquire equipment data, process data, measured data and test result data;

[0090] The first processing module 13 is used to construct a wedge shape model of the exit of the rolling pass based on the acquired equipment data, process data, and measured data, and calculate the thickness wedge amount at the exit of the rolling pass;

[0091] The second processing module 14 is used to construct a target thickness wedge value model for the exit of the upcoming rolling pass based on the thickness wedge value at the exit of the just-rolled pass, process data, and profile data of the steel plate, and calculate the target thickness wedge value for the exit of the upcoming rolling pass;

[0092] The third processing module 15 is used to construct a target roll gap wedge model for the upcoming rolling pass based on the exit thickness wedge of the just-completed rolling pass, the target exit thickness wedge value of the upcoming rolling pass, equipment data, and process data, and calculate the target roll gap wedge value for the upcoming rolling pass;

[0093] The fourth processing module 16 is used to construct a bending adjustment model according to the target roll gap wedge value of the upcoming rolling pass, and calculate the bending adjustment amount of the upcoming rolling pass.

[0094] The embodiments of this specification provide an automatic camber control device for medium and heavy plate. This device automatically identifies the complete planar profile of the exiting steel plate at each pass, identifies the plate's bending direction and degree, constructs a camber adjustment model based on current actual rolling data and test results, and automatically calculates the compensation value for the roll gap on both sides of the next pass. This control method reduces labor intensity, improves control accuracy, and enhances the automation level of the production line without damaging the equipment.

[0095] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the automatic control device for sickle bending of medium and thick plates described above can refer to the corresponding process in the aforementioned method, and will not be elaborated here.

[0096] Based on the above, this embodiment provides a readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the automatic control method for sickle bending of medium and thick plates of any of the aforementioned embodiments is implemented.

[0097] Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working process of the readable storage medium described above can refer to the corresponding process in the aforementioned method and will not be elaborated here.

[0098] The above are merely various embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for automatically controlling the camber of medium and thick plates, characterized in that: include: Identify the profile data of the steel plate at the exit of each pass; Obtain equipment data, process data, measured data and test result data; Based on the acquired equipment data, process data and measured data, a wedge-shaped model of the exit of the just-pass rolling is constructed, and the thickness wedge amount of the exit of the just-pass rolling is calculated; According to the thickness wedge amount at the exit of the just-rolled pass, process data, and profile data of the steel plate, a target value model for the thickness wedge at the exit of the upcoming rolling pass is constructed, and a target value for the thickness wedge at the exit of the upcoming rolling pass is calculated; According to the exit thickness wedge value of the just-rolled pass, the exit thickness wedge target value of the upcoming rolling pass, equipment data, and process data, a roll gap target wedge model for the upcoming rolling pass is constructed, and the roll gap target wedge value for the upcoming rolling pass is calculated; According to the target roll gap wedge value of the upcoming rolling pass, a bending adjustment model is constructed to calculate the bending adjustment amount of the upcoming rolling pass; The wedge-shaped model of the exit just after the rolling pass is: Where ΔH i+1 is the exit wedge of the just-rolled pass, i is the number of the just-rolled pass, Wi is the entrance width of the just-rolled pass, L S is the distance between the hold-down screws on both sides of the rolling mill, ΔSi is the difference in roll gap between the operating side and the transmission side just after the rolling pass, ΔFi is the difference in rolling force between the operating side and the transmission side just after the rolling pass, ΔS0 is the current plate foundation leveling parameter, and K is the stiffness coefficient; The target value model of the thickness wedge at the exit of the next rolling pass is: Where Δh i+1 is the exit thickness of the upcoming rolling pass; i is the number of the pass just rolled; ΔH i+1 H is the exit wedge shape after the rolling pass. i+1 is the entrance thickness of the upcoming rolling pass; W i+1 is the entrance width of the upcoming rolling pass; ρ i is the detected bending curvature of the steel plate that has just been rolled; when the bending direction is the transmission side, k = 1, when the bending direction is the operation side, k = -1.

2. The automatic control method for camber of medium and thick plates according to claim 1, characterized in that: The target wedge shape model of the roll gap of the upcoming rolling pass is: Wherein, ΔS is the target value of the exit thickness wedge of the upcoming rolling pass; L S W is the distance between the pressing screws on both sides of the rolling mill. i+1 is the entrance width of the upcoming rolling pass; Q is the plasticity coefficient, K is the stiffness coefficient, is the entrance width of the upcoming rolling pass, ΔH i+1 is the exit wedge shape after the rolling pass, Δh i+1 is the exit wedge target value of the upcoming rolling pass, and ΔS0 is the current plate foundation leveling parameter.

3. The automatic control method for camber of medium and thick plates according to claim 1, characterized in that: The bending adjustment model is: ΔS * =a*ΔS Where, ΔS * is the bending adjustment amount; a is the model parameter.

4. The automatic control method for camber of medium and thick plates according to claim 3, characterized in that: a is taken as 0.

5.

5. The automatic control method for camber of medium and thick plates according to claim 1, characterized in that: The number of passes is 14.

6. An automatic control device for camber of medium and thick plates, characterized in that: include: Identification module, used to identify the contour data of the steel plate at the exit of each pass; Data acquisition module, used to obtain equipment data, process data, measured data and test result data; The first processing module is used to construct a wedge shape model of the exit of the just-pass rolling according to the acquired equipment data, process data and measured data, and calculate the thickness wedge amount of the exit of the just-pass rolling; The second processing module is used to construct a target value model for the thickness wedge at the exit of the upcoming rolling pass based on the thickness wedge at the exit of the just-rolled pass, process data, and profile data of the steel plate, and calculate the target value for the thickness wedge at the exit of the upcoming rolling pass; The third processing module is used to construct a roll gap target wedge model for the upcoming rolling pass based on the exit thickness wedge of the just-completed rolling pass, the exit thickness wedge target value of the upcoming rolling pass, equipment data, and process data, and calculate the roll gap target wedge value for the upcoming rolling pass; a fourth processing module, configured to construct a bending adjustment model according to the target roll gap wedge value of the upcoming rolling pass, and calculate the bending adjustment amount of the upcoming rolling pass; The wedge-shaped model of the exit just after the rolling pass is: Where ΔH i+1 is the exit wedge of the just-rolled pass, i is the number of the just-rolled pass, Wi is the entrance width of the just-rolled pass, L S is the distance between the hold-down screws on both sides of the rolling mill, ΔSi is the difference in roll gap between the operating side and the transmission side just after the rolling pass, ΔFi is the difference in rolling force between the operating side and the transmission side just after the rolling pass, ΔS0 is the current plate foundation leveling parameter, and K is the stiffness coefficient; The target value model of the thickness wedge at the exit of the next rolling pass is: Where Δh i+1 is the exit thickness of the upcoming rolling pass; i is the number of the pass just rolled; ΔH i+1 H is the exit wedge shape after the rolling pass. i+1 is the entrance thickness of the upcoming rolling pass; W i+1 is the entrance width of the upcoming rolling pass; ρ i is the detected bending curvature of the steel plate that has just been rolled; when the bending direction is the transmission side, k = 1, when the bending direction is the operation side, k = -1.

7. An electronic device, characterized in that: The electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the automatic control method for the sickle bending of medium and thick plates described in any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the program is executed by a processor, the automatic control method for sickle bending of medium and thick plates as described in any one of claims 1 to 5 is implemented.

Citation Information

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