A rolling mill roll shape optimization method and device, electronic equipment and storage medium

Abstract

The application belongs to the technical field of steel rolling, and provides a rolling mill roll type optimization method and device, an electronic device and a storage medium, the method comprising: obtaining a crown value and a wedge value of a steel plate to obtain a transverse same plate difference of the steel plate, calculating at least one group of target roll type curves through a model according to the transverse same plate difference, obtaining at least one group of target roll types according to the target roll type curves, performing a rolling test on a target steel plate through the target roll types, obtaining a target crown value and a target wedge value of the target steel plate according to the target steel plate after rolling, and obtaining a target transverse same plate difference of the target steel plate, and when the target crown value, the target wedge value and the target transverse same plate difference are all less than preset values, determining that the target roll type is a roll type process meeting the requirements, the application solves the problem that the transverse same plate difference of a steel plate after rolling is too large when a flat roll type is used in the prior art, reduces the product yield and increases the production cost, and improves the product yield and reduces the production cost.

Description

Technical Field

[0001] This invention relates to the field of steel rolling technology, and in particular to a method, apparatus, electronic device, and storage medium for optimizing rolling mill roll profiles. Background Technology

[0002] With the rapid development of modern industry and science and technology, industrial enterprises are placing increasingly stringent demands on the quality of medium and heavy plates. With the widespread application of AGC technology, the accuracy of thickness dimensions has been significantly improved, basically meeting various customer requirements. However, under these circumstances, the flatness and transverse thickness accuracy of steel plates are increasingly becoming a major problem for manufacturers.

[0003] Transverse thickness variation within the same plate is a crucial indicator for quality and cost control of medium and heavy plates. It primarily encompasses two aspects: crown and wedge shape. Excessive crown and wedge shape severely impact plate quality accuracy and increase costs. Improving the control level of crown and wedge shape in medium and heavy plate production is a critical issue that needs to be addressed. Currently, the work rolls and support rolls of the rolling mill stands in production lines all use flat rolls, resulting in particularly prominent crown and wedge shape problems in the rolled steel plates. The average transverse thickness variation within the same plate reaches over 0.30 mm, and in some cases, it even exceeds 0.60 mm. This has become a significant factor hindering product development on the production line. Furthermore, the excessive thickness variation also reduces the yield rate and greatly increases production costs. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a rolling mill roll profile optimization method, device, electronic device and storage medium to solve the problem that in the prior art, both the work rolls and support rolls of the rolling mill stand adopt flat roll profiles, resulting in excessive transverse plate difference of the rolled steel plate, which reduces the product yield and increases production costs.

[0005] To achieve the above and other related objectives, the present invention provides a method for optimizing rolling mill roll profiles, the method comprising:

[0006] Obtain the convexity and wedge shape values ​​of the steel plate;

[0007] Based on the convexity value and the wedge value, the transverse same-plate difference of the steel plate is obtained. Based on the transverse same-plate difference, at least one set of target roll profile curves is calculated by the model, wherein the target roll profile curves include the support roll profile curve and the work roll profile curve.

[0008] Based on the target roll profile curve, at least one set of target roll profiles is obtained, and a rolling test is performed on the target steel plate using the target roll profiles. The target roll profiles include support roll profiles and work roll profiles.

[0009] Based on the rolled target steel plate, the target convexity value and target wedge value of the target steel plate are obtained, and the target transverse same-plate difference of the target steel plate is obtained.

[0010] When the target convexity value, the target wedge value, and the target transverse plate difference are all less than preset values, the target roll type is determined to be a roll type process that meets the requirements.

[0011] Optionally, the convexity value includes the thickness difference between the middle and the edge of the steel plate, and the wedge value includes the waviness defect degree of the steel plate.

[0012] Optionally, both the support roller profile curve and the work roller profile curve are high-order polynomial functions.

[0013] Optionally, both the support roller and the working roller are convex rollers with a large diameter in the middle and small diameters at both ends, and the middle section of the roller surface is a special curved section that is almost straight.

[0014] Optionally, the target steel plate reduces the transverse inconsistency by reducing the convexity and wedge values.

[0015] Optionally, the preset values ​​include the maximum convexity value, the maximum wedge value, and the maximum lateral difference between the same plate, which meet the process requirements.

[0016] Based on the same inventive concept, the present invention also provides a roller profile optimization device, the device comprising:

[0017] The acquisition module is used to acquire the convexity and wedge shape values ​​of the steel plate;

[0018] The calculation module is used to obtain the transverse same-plate difference of the steel plate based on the convexity value and the wedge value, and to calculate at least one set of target roll profile curves through the model based on the transverse same-plate difference, wherein the target roll profile curves include the support roll profile curve and the work roll profile curve;

[0019] An execution module is configured to obtain at least one set of target roll profiles based on the target roll profile curve, and to perform a rolling test on a target steel plate using the target roll profiles, wherein the target roll profiles include a support roll profile and a work roll profile;

[0020] The processing module is used to obtain the target convexity value and target wedge value of the target steel plate after rolling, and to obtain the target transverse same-plate difference of the target steel plate.

[0021] The determination module is used to determine that the target roll shape is a roll shape process that meets the requirements when the target convexity value, the target wedge value, and the target transverse plate difference are all less than the preset value.

[0022] Based on the same inventive concept, the present invention also provides an electronic device, the electronic device comprising:

[0023] One or more processors;

[0024] A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement a mill roll profile optimization method as described above.

[0025] Based on the same inventive concept, the present invention also provides a storage medium storing a computer program, which, when executed by a computer processor, causes the computer to perform a mill roll profile optimization method as described above.

[0026] As described above, the mill roll profile optimization method, apparatus, electronic device, and storage medium of the present invention have at least the following beneficial effects:

[0027] By acquiring the convexity and wedge shape values ​​of the steel plate, and based on these values, the transverse same-plate difference of the steel plate is obtained. Based on this transverse same-plate difference, at least one set of target roll profile curves is calculated using a model. These target roll profile curves include support roll profile curves and work roll profile curves. Based on these curves, at least one set of target roll profiles is obtained. A rolling test is then conducted on the target steel plate using these target roll profiles, which include support roll profiles and work roll profiles. Based on the rolled target steel plate, the target convexity value and target wedge shape value are acquired, and the target transverse same-plate difference is obtained. When the target convexity value, target wedge shape value, and target transverse same-plate difference are all less than preset values, the target roll profile is determined to be a roll profile process that meets the requirements. This reduces the transverse same-plate difference of the rolled steel plate, solving the problem in existing technologies where both the work rolls and support rolls of the rolling mill stand use flat roll profiles, resulting in an excessively large transverse same-plate difference in the rolled steel plate, which reduces the product yield and increases production costs. This method improves the product yield and reduces production costs.

[0028] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0029] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0030] Figure 1This is a flowchart illustrating a rolling mill roll profile optimization method in an exemplary embodiment of this application.

[0031] Figure 2 This is a block diagram illustrating a roller profile optimization device in an exemplary embodiment of this application.

[0032] Figure 3 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation

[0033] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.

[0034] It should be noted that the illustrations provided in this embodiment are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show components relevant to the present invention and are not drawn according to the actual number, shape, and size of components in implementation. In actual implementation, the form, quantity, and proportion of each component can be arbitrarily changed, and the component layout may be more complex. The structures, proportions, sizes, etc., depicted in the accompanying drawings are only for illustrative purposes to aid those skilled in the art and are not intended to limit the implementation conditions of the present invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to size, without affecting the effects and objectives of the present invention, should still fall within the scope of the technical content disclosed in the present invention. Furthermore, the terms such as "upper," "lower," "left," "right," "middle," and "one" used in this specification are only for clarity of description and are not intended to limit the scope of the present invention. Changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of the present invention.

[0035] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0036] In one exemplary embodiment, this application provides an exemplary method for optimizing rolling mill roll profiles. Please refer to [link to relevant documentation]. Figure 1 , Figure 1 This is a flowchart illustrating an exemplary embodiment of a rolling mill roll profile optimization method, the method comprising at least steps S110 to S150, detailed below:

[0037] Step S110: Obtain the convexity value and wedge shape value of the steel plate;

[0038] Step S120: Based on the convexity value and wedge value, the transverse same-plate difference of the steel plate is obtained. Based on the transverse same-plate difference, at least one set of target roll profile curves is calculated by the model. The target roll profile curves include the support roll profile curve and the work roll profile curve.

[0039] Step S130: Based on the target roll profile curve, at least one set of target roll profiles is obtained, and a rolling test is performed on the target steel plate using the target roll profiles. The target roll profiles include support roll profiles and work roll profiles.

[0040] Step S140: Based on the rolled target steel plate, obtain the target convexity value and target wedge value of the target steel plate, and obtain the target transverse same plate difference of the target steel plate;

[0041] Step S150: When the target convexity value, target wedge value, and target transverse plate difference are all less than the preset values, the target roll type is determined to be a roll type process that meets the requirements.

[0042] Steps S110 to S150 are described in detail below:

[0043] In step S110, the convexity value and wedge value of the steel plate are obtained, wherein the convexity value includes the thickness difference between the middle and the edge of the steel plate, and the wedge value includes the waviness defect degree of the steel plate.

[0044] In step S120, based on the convexity value and wedge value, the transverse same-plate difference of the steel plate is obtained. Based on the transverse same-plate difference, at least one set of target roll profile curves is calculated by the model. The target roll profile curves include the support roll profile curve and the work roll profile curve. Both the support roll profile curve and the work roll profile curve are high-order polynomial functions.

[0045] In step S130, at least one set of target roll profiles is obtained according to the target roll profile curve. The target steel plate is rolled using the target roll profiles. The target roll profiles include support roll profiles and work roll profiles. Both support roll profiles and work roll profiles are convex roll profiles with a large diameter in the middle and small diameters at both ends. The middle section of the roll surface is a special curve section that is close to straight.

[0046] In step S140, based on the rolled target steel plate, the target convexity value and target wedge value of the target steel plate are obtained, and the target transverse same-plate difference of the target steel plate is obtained. The target steel plate reduces the transverse same-plate difference by reducing the convexity value and wedge value.

[0047] In step S150, when the target convexity value, target wedge value, and target lateral plate difference are all less than preset values, the target roll type is determined to be a roll type process that meets the requirements. The preset values ​​include the maximum convexity value, the maximum wedge value, and the maximum lateral plate difference that meet the process requirements.

[0048] It can be seen that the technical solution provided in this embodiment no longer uses flat roll profiles to roll steel plates. Instead, it obtains the convexity and wedge shape values ​​of the steel plate, and based on these values, calculates the transverse same-plate difference. Based on this difference, at least one set of target roll profile curves is obtained through model calculation. These target roll profile curves include support roll profile curves and work roll profile curves. Based on these curves, at least one set of target roll profiles is obtained. A rolling test is then performed on the target steel plate using these target roll profiles. The target roll profiles include support roll profiles and work roll profiles. After rolling, the target convexity value and target wedge value of the target steel plate are obtained, and the target transverse same-plate difference of the target steel plate is obtained. When the target convexity value, target wedge value, and target transverse same-plate difference are all less than the preset value, the target roll type is determined to be a roll type process that meets the requirements. This reduces the transverse same-plate difference of the rolled steel plate and solves the problem in the existing technology where the work rolls and support rolls of the rolling mill stand are all flat roll type, resulting in an excessive transverse same-plate difference of the rolled steel plate, which reduces the product yield and increases the production cost. This method improves the product yield and reduces the production cost.

[0049] It should be noted that during the operation of the rolling mill, the work rolls are in direct contact with the steel plate, and the wear of the work rolls is much greater than that of the support rolls. In order to even out the wear of the support rolls, the roll profile curve of the support rolls is as follows:

[0050] y = -2.25E - 20x 6 +2.70E-16x 5 -1.33E-12x 4 +3.47E-09x 3 -5.00E-06x 2 +3.81E-03x

[0051] The roller profile curve of this support roller can prevent peeling and give the support roller good self-holding properties, ensuring that the support roller does not experience significant wear in the later stages.

[0052] Because the wear of the support roller is different in the early, middle and late stages, the crown value of the work roll gradually increases as the wear of the support roller increases. Therefore, after the support roller is replaced, the roll profile is changed every 3 to 6 work roll cycles, with the crown increasing by about 0.03 to 0.05 mm each time.

[0053] The use of work rolls is divided into three stages according to the service life of the support rolls. The first stage includes four types of work rolls, and the corresponding work roll type curves according to the order of use are as follows:

[0054] y = -1.83E-21x 6 +2.25E-17x 5 -1.14E-13x 4 +3.05E-10x 3 -4.53E-07x 2 +3.59E-04x

[0055] y = -2.29E-21x 6 +2.82E-17x 5 -1.43E-13x 4 +3.81E-10x 3 -5.66E-07x 2 +4.49E-04x

[0056] y = -2.75E-21x 6 +3.38E-17x 5 -1.71E-13x 4 +4.57E-10x 3 -6.80E-07x 2 +5.39E-04x

[0057] y = -3.21E-21x 6 +3.94E-17x 5 -2.00E-13x 4 +5.33E-10x 3 -7.93E-07x 2 +6.28E-04x

[0058] Each set of rollers uses 4 cycles.

[0059] The second stage includes three types of work roll profiles, and the corresponding work roll profile curves according to the order of use are as follows:

[0060] y=-3.66E-21x6+4.51E-17x5-2.28E-13x4+6.09E-10x3-9.06E-07x2+7.18E-04x

[0061] y=-4.12E-21x6+5.07E-17x5-2.57E-13x4+6.85E-10x3-1.02E-06x2+8.08E-04x

[0062] y=-4.58E-21x6+5.63E-17x5-2.85E-13x4+7.61E-10x3-1.13E-06x2+8.98E-04x

[0063] Each set of rollers is used for 3 cycles.

[0064] The third stage includes two types of work roll profiles, and the corresponding work roll profile curves according to the order of use are as follows:

[0065] y = -5.04E-21x 6 +6.20E-17x 5 -3.14E-13x 4 +8.38E-10x 3 -1.25E-06x 2 +9.87E-04x

[0066] y = -5.50E-21x 6 +6.76E-17x 5 -3.42E-13x 4 +9.14E-10x 3 -1.36E-06x 2 +1.08E-03x

[0067] Each set of rollers is used for 2 cycles.

[0068] Figure 2 This is a block diagram illustrating a roller profile optimization device according to an exemplary embodiment of this application. The device can be applied to… Figure 1 The implementation environment shown is not limited to this embodiment. This device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applicable.

[0069] like Figure 2 As shown, this exemplary roller profile optimization device includes: an acquisition module 201, a calculation module 202, an execution module 203, a processing module 204, and a determination module 205. Detailed descriptions of each module are as follows:

[0070] The acquisition module 201 is configured to acquire the convexity value and wedge shape value of the steel plate;

[0071] The calculation module 202 is configured to obtain the transverse same-plate difference of the steel plate based on the convexity value and the wedge value, and to obtain at least one set of target roll profile curves through model calculation based on the transverse same-plate difference, wherein the target roll profile curves include the support roll profile curve and the work roll profile curve;

[0072] The execution module 203 is configured to obtain at least one set of target roll profiles based on the target roll profile curve, and to perform a rolling test on the target steel plate using the target roll profiles. The target roll profiles include support roll profiles and work roll profiles.

[0073] The processing module 204 is configured to obtain the target convexity value and target wedge value of the target steel plate after rolling, and to obtain the target transverse same-plate difference of the target steel plate.

[0074] The judgment module 205 is configured to determine the target roll type as a roll type process that meets the requirements when the target convexity value, target wedge value and target transverse plate difference are all less than the preset value.

[0075] The roll profile optimization device provided in this application first obtains the convexity and wedge shape values ​​of the steel plate. Based on the convexity and wedge shape values, the transverse same-plate difference of the steel plate is obtained. According to the transverse same-plate difference, at least one set of target roll profile curves is calculated through a model. The target roll profile curves include the support roll profile curve and the work roll profile curve. Based on the target roll profile curves, at least one set of target roll profiles is obtained. A rolling test is performed on the target steel plate using the target roll profiles. The target roll profiles include the support roll profile and the work roll profile. Based on the rolled target steel plate... The target convexity value and target wedge value of the target steel plate are obtained, and the target transverse same-plate difference of the target steel plate is obtained. When the target convexity value, target wedge value and target transverse same-plate difference are all less than the preset value, the target roll type is determined to be a roll type process that meets the requirements. This reduces the transverse same-plate difference of the rolled steel plate and solves the problem that the work rolls and support rolls of the rolling mill stand are all flat roll type in the existing technology, which leads to an excessive transverse same-plate difference of the rolled steel plate, which reduces the product yield and increases the production cost. This method improves the product yield and reduces the production cost.

[0076] It should be noted that the roll profile optimization device provided in the above embodiments and the mill roll profile optimization method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the roll profile optimization device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0077] Embodiments of this application also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the mill roll profile optimization method provided in the above embodiments.

[0078] Figure 3 A schematic diagram of a computer system suitable for implementing the embodiments of this application is shown. It should be noted that... Figure 3 The computer system 300 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0079] like Figure 3 As shown, the computer system 300 includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 302 or programs loaded from storage portion 308 into Random Access Memory (RAM) 303, such as performing the methods described in the above embodiments. The RAM 303 also stores various programs and data required for system operation. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0080] The following components are connected to I / O interface 305: an input section 306 including a keyboard, mouse, etc.; an output section 307 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to I / O interface 305 as needed. Removable media 311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0081] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs various functions defined in the system of this application.

[0082] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0083] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0084] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0085] Another aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a computer's processor, causes the computer to perform the mill roll profile optimization method as described above. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not incorporated into the electronic device.

[0086] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the mill roll profile optimization method provided in the various embodiments described above.

[0087] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for optimizing rolling mill roll profiles, characterized in that, The method includes: Obtain the convexity and wedge shape values ​​of the steel plate; Based on the convexity value and the wedge value, the transverse same-plate difference of the steel plate is obtained. Based on the transverse same-plate difference, at least one set of target roll profile curves is calculated by the model, wherein the target roll profile curves include the support roll profile curve and the work roll profile curve. Based on the target roll profile curve, at least one set of target roll profiles is obtained, and a rolling test is performed on the target steel plate using the target roll profiles. The target roll profiles include support roll profiles and work roll profiles. Based on the rolled target steel plate, the target convexity value and target wedge value of the target steel plate are obtained, and the target transverse same-plate difference of the target steel plate is obtained. When the target convexity value, the target wedge value, and the target transverse plate difference are all less than the preset value, the target roll type is determined to be a roll type process that meets the requirements. The use of work rolls is divided into three stages according to the service life of the support rolls. The first stage includes four types of work rolls, and the corresponding work roll type curves according to the order of use are as follows: y = -1.83E -21 x 6 + 2.25E -17 x 5 - 1.14E -13 x 4 + 3.05E -10 x 3 - 4.53E -07 x 2 + 3.59E -04 x y = -2.29E -21 x 6 + 2.82E -17 x 5 - 1.43E -13 x 4 + 3.81E -10 x 3 - 5.66E -07 x 2 + 4.49E -04 x y = -2.75E -21 x 6 + 3.38E -17 x 5 - 1.71E -13 x 4 + 4.57E -10 x 3 - 6.80E -07 x 2 + 5.39E -04 x y = -3.21E -21 x 6 + 3.94E -17 x 5 - 2.00E -13 x 4 + 5.33E -10 x 3 - 7.93E -07 x 2 + 6.28E -04 x Each set of rollers uses 4 cycles; The second stage includes three types of work roll profiles, and the corresponding work roll profile curves according to the order of use are as follows: y = -3.66E -21 x 6 + 4.51E -17 x 5 - 2.28E -13 x 4 + 6.09E -10 x 3 - 9.06E -07 x 2 + 7.18E -04 x y = -4.12E -21 x 6 + 5.07E -17 x 5 - 2.57E -13 x 4 + 6.85E -10 x 3 - 1.02E -06 x 2 + 8.08E -04 x y = -4.58E -21 x 6 + 5.63E -17 x 5 - 2.85E -13 x 4 + 7.61E -10 x 3 - 1.13E -06 x 2 + 8.98E -04 x Each set of rollers is used for 3 cycles; The third stage includes two types of work roll profiles, and the corresponding work roll profile curves according to the order of use are as follows: y = -5.04E -21 x 6 + 6.20E -17 x 5 - 3.14E -13 x 4 + 8.38E -10 x 3 - 1.25E -06 x 2 + 9.87E -04 x y = -5.50E -21 x 6 + 6.76E -17 x 5 - 3.42E -13 x 4 + 9.14E -10 x 3 - 1.36E -06 x 2 + 1.08E -03 x Each set of rollers is used for 2 cycles.

2. The method for optimizing rolling mill roll profile according to claim 1, characterized in that, The steps for obtaining the convexity and wedge shape values ​​of the steel plate include: The convexity value includes the thickness difference between the middle and the edge of the steel plate, and the wedge value includes the waviness defect degree of the steel plate.

3. The method for optimizing rolling mill roll profile according to claim 1, characterized in that, The step of obtaining the target convexity value and target wedge value of the target steel plate after rolling, and obtaining the target transverse same-plate difference of the target steel plate, includes: The target steel plate reduces the transverse inconsistency by reducing the convexity and wedge values.

4. The method for optimizing rolling mill roll profile according to claim 1, characterized in that, The step of determining that the target roll profile meets the required roll profile process when the target convexity value, the target wedge value, and the target lateral difference between the roll profile and the plate are all less than preset values ​​includes: The preset values ​​include the maximum convexity value, the maximum wedge value, and the maximum transverse difference between the same plate, which meet the process requirements.

5. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement a mill roll profile optimization method as described in any one of claims 1 to 4.

6. A storage medium, characterized in that, It stores a computer program, which, when executed by the computer's processor, causes the computer to perform a mill roll profile optimization method according to any one of claims 1 to 4.

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