A method and apparatus for determining adaptive parameters of hot rolling force.

Abstract

This application relates to the technical field, and more particularly to a method for determining adaptive rolling force parameters in hot rolling. The method includes acquiring the rolling parameters of the current strip and the rolling parameters of several preceding strips; calculating the difference between the current strip and the preceding strips based on the rolling parameters; and matching a corresponding rolling force mode to the current strip based on the difference to obtain adaptive rolling force parameters for the current strip. This application eliminates the enormous workload associated with manually tracking and correcting rolling force in real time, improving both the accuracy of rolling force prediction and production efficiency.

Description

Technical Field

[0001] This application relates to the technical field, and in particular to a method and apparatus for determining adaptive parameters of hot rolling force. Background Technology

[0002] In hot rolling production, the accuracy of rolling force prediction is one of the most important process parameters determining rolling stability and product quality. Generally, relying solely on a physical model of rolling force is insufficient to accurately predict the rolling force; adaptive coefficients are needed to improve the model's prediction accuracy. These adaptive coefficients are typically obtained through a layer table. However, the layer table cannot predict the rolling force of new steel grades. Therefore, it is necessary to manually copy parameters from similar steel grades and track and correct the rolling process in real time. Since the accuracy of this correction depends partly on the experience of technicians and on-site operations, manual correction not only significantly increases the workload of technicians and reduces production capacity but also lowers the accuracy of rolling force prediction. Summary of the Invention

[0003] In order to reduce the enormous workload of manually tracking and correcting rolling force in real time, increase production capacity, and improve the accuracy of rolling force prediction,

[0004] In a first aspect, this application provides a method for determining adaptive parameters of hot rolling force, including obtaining the rolling parameters of the current strip and the rolling parameters of the previous multiple strips of the current strip;

[0005] Based on the rolling parameters, the difference between the current strip and the previous multiple strips is calculated;

[0006] Based on the difference, a corresponding rolling force mode is matched for the current strip to obtain the adaptive rolling force parameters for the current strip.

[0007] Furthermore, the calculation of the difference between the current strip and the previous multiple strips based on the rolling parameters includes, using the formula...

[0008]

[0009] The difference degree is calculated;

[0010] Wherein, k1-k4 are influencing factors, s' is the steel grade code of the previous multiple strips, h' is the target thickness of the previous multiple strips, w' is the target width of the previous multiple strips, f' is the heating furnace number of the previous multiple strips, and c' is the flag indicating whether the previous multiple strips use a hot coil box; s is the steel grade code of the current strip, h is the target thickness of the current strip, w is the target width of the current strip, f is the heating furnace number of the current strip, and c is the flag indicating whether the current strip uses a hot coil box.

[0011] Furthermore, the step of matching the current strip with the corresponding rolling force mode based on the difference degree includes determining whether the difference degree is less than a preset difference degree threshold;

[0012] If the judgment result is yes, the short-term parameter mode is matched as the rolling force mode;

[0013] If the judgment result is negative, determine whether the current strip rolling parameters match the strip rolling parameters in the preset parameter table;

[0014] When the judgment result is a match, the matching mid-term parameter mode is used as the rolling force mode;

[0015] When the judgment result is a mismatch, the long-term parameter mode is matched as the rolling force mode.

[0016] Furthermore, the short-term parameter mode includes taking the first few strips corresponding to the minimum value of the difference as the target strip and using the rolling force parameter of the target strip as the rolling force adaptive parameter of the current strip.

[0017] Furthermore, the preset parameter table is a stratification table;

[0018] The intermediate parameter mode includes using the strip steel with the same rolling parameters as the current strip steel in the layer table as the target strip steel;

[0019] The rolling force parameters of the target strip are used as the adaptive rolling force parameters of the current strip.

[0020] Furthermore, the long-term parameter mode includes using a machine learning model to determine the adaptive parameters of the rolling force.

[0021] Furthermore, after obtaining the adaptive rolling force parameters of the current strip, the method further includes importing the adaptive rolling force parameters and the rolling parameters of the current strip into the hot rolling force model to improve production efficiency.

[0022] Secondly, this application provides a device for determining adaptive parameters of hot rolling force, the device comprising,

[0023] The acquisition module is used to acquire the rolling parameters of the current strip and the rolling parameters of the previous multiple strips of the current strip;

[0024] The calculation module is used to calculate the difference between the current strip and the previous multiple strips based on the rolling parameters;

[0025] The matching module is used to match the corresponding rolling force mode for the current strip based on the difference degree, so as to obtain the adaptive rolling force parameters of the current strip.

[0026] Thirdly, this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method described in any of the first aspects.

[0027] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described in the first aspect.

[0028] Beneficial effects:

[0029] This application provides a method for determining adaptive rolling force parameters in hot rolling, comprising: acquiring the rolling parameters of the current strip and the rolling parameters of several preceding strips; calculating the difference between the current strip and the preceding strips based on the rolling parameters; and matching a corresponding rolling force mode to the current strip based on the difference to obtain adaptive rolling force parameters for the current strip. The method provided in this application eliminates the enormous workload associated with manually tracking and correcting rolling force in real time, thereby improving both the accuracy of rolling force prediction and production efficiency. Attached Figure Description

[0030] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a flowchart of a method for determining adaptive parameters of hot rolling force provided in Embodiment 1 of this application;

[0032] Figure 2 This is a schematic diagram of the electronic structure device in Embodiment 3 of this application. Detailed Implementation

[0033] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0034] Example 1

[0035] Combined with appendix Figure 1Example 1 provides a method for determining adaptive parameters of hot rolling force, the main steps of which include:

[0036] S1, obtain the rolling parameters of the current strip and the rolling parameters of the previous multiple strips of the current strip;

[0037] S2, based on the rolling parameters, calculate the difference between the current strip and the previous multiple strips;

[0038] S3, based on the difference, match the corresponding rolling force mode for the current strip to obtain the adaptive rolling force parameters of the current strip;

[0039] S4. The adaptive rolling force parameters and the current strip rolling parameters are imported into the hot rolling force model to improve production efficiency.

[0040] Example 1 takes the previous 8 strips and the current strip as the implementation objects, and the specific implementation steps are as follows:

[0041] Execute step S1 to obtain the rolling parameters of the current strip and the rolling parameters of the first 8 strips of the current strip;

[0042] The rolling parameters include steel grade code, target thickness, target width, heating furnace number, and hot coil box mode;

[0043] Execute step S2, based on the rolling parameters, calculate the difference between the current strip and the previous multiple strips;

[0044] Through formula

[0045]

[0046] The difference degree is calculated;

[0047] Wherein, k1-k4 are influencing factors, s' is the steel grade code of the first 8 strips, h' is the target thickness of the first 8 strips, w' is the target width of the first 8 strips, f' is the heating furnace number of the first 8 strips, and c' is the flag indicating whether the first 8 strips use a hot coil box; s is the steel grade code of the current strip, h is the target thickness of the current strip, w is the target width of the current strip, f is the heating furnace number of the current strip, and c is the flag indicating whether the current strip uses a hot coil box.

[0048] In Example 1, the difference d between the first 8 strips and the current strip is calculated. m (m = 1 - 8);

[0049] Execute step S3, based on the difference degree, match the corresponding rolling force mode for the current strip steel to obtain the adaptive rolling force parameters of the current strip steel;

[0050] Determine whether the difference is less than a preset difference threshold.

[0051] When the judgment result is yes, the rolling force mode is matched to the short-term parameter mode, and the strip corresponding to the minimum difference value in the first 8 strips is determined as the target strip, and the rolling force adaptive parameter of the target strip is adopted.

[0052] That is, let d m To calculate the obtained difference, d k As a preset difference threshold, when d m <d k Select the strip corresponding to d = min (d1……d8) from the first 8 strips as the target strip, and obtain the adaptive rolling force parameter of the target strip as the rolling force parameter of the current strip;

[0053] If the judgment result is negative, determine whether the rolling parameters of the current strip steel match the rolling parameters of the strip steel in the preset layer table;

[0054] When the judgment result is a match, the matching mid-term parameter mode is used as the rolling force mode;

[0055] The intermediate parameter mode includes using the strip steel with the same rolling parameters as the current strip steel in the layer table as the target strip steel;

[0056] The rolling force parameters of the target strip are used as the adaptive rolling force parameters of the current strip;

[0057] Specifically, if no strip with the required difference is found in the first 8 strips, the layer table is searched to find the rolling force adaptive coefficient of the same steel grade and hot coil box mode, and the same thickness and width layer, which is provided as an intermediate parameter to the current strip.

[0058] When the judgment results are different, the long-term parameter mode is matched as the rolling force mode;

[0059] Specifically, if the same steel grade and hot-rolled roll pattern, and the same thickness and width layer are not found in the layer table, it means that the steel grade and specification have not been rolled. In this case, long-term parameters are used to read the rolling force adaptive coefficient from machine learning models such as RBF neural networks.

[0060] The stratification table is a model table in the database that stores the adaptive coefficients of rolling force. The stratification is divided by steel grade code, target thickness stratification, target width stratification, and whether a hot roll box is used.

[0061] The target thickness layer and target width layer are defined in two other model tables and can be manually modified.

[0062] In Example 1, a neural network machine learning model is used to select adaptive rolling force parameters;

[0063] The specific implementation process is as follows:

[0064] The rolling schedule of a 2250mm hot rolling production line of a steel company is shown in Tables 1 and 2 below. In Table 1, the rolling force adaptive coefficient of item 9 is used as a short-term parameter in the calculation, based on the rolling force adaptive coefficient of item 8. In Table 2, the RBF neural network calculation results are used as long-term parameters in the rolling force model calculation for the first rolling of item 9. In Table 2, the data in the layer table are used as medium-term parameters in the rolling force model calculation for the second and subsequent rolling of item 9.

[0065] Table 1

[0066] Rolling serial number Steel grade code Target thickness Target width Plate and roll box mode Heating furnace number Difference 1 12 6 1500 0 1 1001 2 12 4.5 1450 0 2 1000 3 12 3.5 1399 0 3 1000 4 12 3 1350 0 1 1000 5 12 2.5 1350 1 2 0.270 6 12 2.3 1300 1 3 0.135 7 12 2.2 1250 1 1 0.048 8 12 2.1 1250 1 2 0.000 9 12 2.1 1250 1 3

[0067] Table 2

[0068] Rolling serial number Steel grade code Target thickness Target width Plate and roll box mode Heating furnace number Difference 1 15 4.5 1500 0 1 1899 2 15 4.5 1450 0 2 1899 3 15 3 1399 0 3 1899 4 15 3 1350 0 1 1898 5 15 2.5 1350 1 2 899 6 15 2.3 1300 1 3 899 7 15 2.3 1250 1 1 899 8 15 2.3 1250 1 2 899 9 150 2.3 1250 1 3

[0069] Step S4 is executed to import the adaptive rolling force parameters and the current strip rolling parameters into the hot rolling force model to improve production efficiency;

[0070] After rolling, the adaptive rolling force coefficient of this strip is collected and stored in the corresponding layer of the layer table according to the steel grade code, target thickness, target width, and hot-rolled coil box mode for subsequent production use. The parameter update method is exponential smoothing.

[0071] Example 1 provides a method that, for cases where the steel grade is not being changed, adopts a short-term parameter mode to select adaptive rolling force parameters from the previous strip of similar specifications; for cases where the steel grade is being changed, uses a stratification table to select adaptive rolling force parameters; and for new steel grades, uses machine learning models such as neural networks to select adaptive rolling force parameters. By matching the rolling parameter with the smallest difference from the current strip rolling parameters as the adaptive rolling force parameter for the current strip, the method solves the problem that the stratification table cannot predict the rolling force of new steel grades, thus improving the accuracy of rolling force prediction. Simultaneously, it reduces the frequency of manual intervention in the development of new varieties, eliminates the huge workload associated with manually tracking and correcting rolling force in real time, and improves production efficiency.

[0072] Example 2

[0073] Based on the same inventive concept, Embodiment 2 provides a device for determining adaptive parameters of hot rolling force. Embodiment 2 takes the previous 10 strips and the current strip as the implementation object. The device provided in Embodiment 2 includes...

[0074] The acquisition module is used to acquire the rolling parameters of the current strip and the rolling parameters of the previous 10 strips of the current strip;

[0075] The calculation module is used to calculate the difference between the current strip and the previous multiple strips based on the rolling parameters;

[0076] The calculation of the difference between the current strip and the previous multiple strips, based on the rolling parameters, includes using the formula...

[0077]

[0078] The difference degree is calculated;

[0079] Wherein, k1-k4 are influencing factors, s' is the steel grade code of the previous multiple strips, h' is the target thickness of the previous multiple strips, w' is the target width of the previous multiple strips, f' is the heating furnace number of the previous multiple strips, and c' is the flag indicating whether the previous multiple strips use a hot coil box; s is the steel grade code of the current strip, h is the target thickness of the current strip, w is the target width of the current strip, f is the heating furnace number of the current strip, and c is the flag indicating whether the current strip uses a hot coil box.

[0080] The matching module is used to match the corresponding rolling force mode for the current strip based on the difference degree, so as to obtain the adaptive rolling force parameters of the current strip;

[0081] The matching module determines whether the difference is less than a preset difference threshold;

[0082] When the judgment result is yes, the short-term parameter mode is matched as the rolling force mode; the first few strips corresponding to the minimum value in the difference degree are taken as the target strips, and the rolling force parameters of the target strips are used as the rolling force adaptive parameters of the current strips.

[0083] If the judgment result is negative, determine whether the current strip rolling parameters match the strip rolling parameters in the preset parameter table;

[0084] When the judgment result is a match, the matching mid-term parameter mode is used as the rolling force mode; the strip steel with the same rolling parameters as the current strip steel in the layer table is used as the target strip steel;

[0085] The rolling force parameters of the target strip are used as the adaptive rolling force parameters of the current strip;

[0086] When the judgment result is a mismatch, the long-term parameter pattern is matched as the rolling force pattern, and the adaptive parameters of the rolling force are determined by a machine learning model.

[0087] When the current strip steel enters the device provided in Example 2, the rolling parameters with the smallest difference from the current strip steel are automatically matched as the rolling force adaptive parameters, thereby eliminating the huge workload caused by manually tracking and correcting the rolling force in real time, improving the prediction accuracy of the rolling force and also improving production efficiency.

[0088] Example 3

[0089] Based on the same inventive concept, Embodiment 3 of this application provides an electronic device, as shown in the appendix. Figure 2 As shown, it includes a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302. When the processor 302 executes the program, it implements the steps of the above-described method for determining adaptive parameters of hot rolling force.

[0090] Among them, Figure 2 In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 306 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 can be used to store data used by processor 302 during operation.

[0091] Example 4

[0092] Based on the same inventive concept, Embodiment 4 of the present invention provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described method for determining adaptive parameters of hot rolling force.

[0093] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0094] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0095] Similarly, it should be understood that, in order to simplify this disclosure and aid in understanding one or more of the various aspects of the invention, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this method of disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0096] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0097] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0098] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the thermal simulation apparatus for aluminum substrates or electronic devices according to embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0099] The above descriptions are merely embodiments of this application. Commonly known structures and characteristics of the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, based on the guidance provided in this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of this application. These should also be considered within the scope of protection of this application, and will not affect the effectiveness of the implementation of this application or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A method for determining adaptive parameters of hot rolling force, characterized in that, include, Obtain the rolling parameters of the current strip and the rolling parameters of the previous multiple strips of the current strip; Based on the rolling parameters, the difference between the current strip and the previous multiple strips is calculated; Based on the difference, a corresponding rolling force mode is matched for the current strip to obtain the adaptive rolling force parameters of the current strip; The rolling parameters include: steel grade code, target thickness, target width, heating furnace number, and hot coil box mode; The method of matching the rolling force mode corresponding to the current strip steel based on the degree of difference includes: Determine whether the difference is less than a preset difference threshold; If the judgment result is yes, the short-term parameter mode is matched as the rolling force mode; If the judgment result is negative, determine whether the current strip rolling parameters match the strip rolling parameters in the preset parameter table; When the judgment result is a match, the matching mid-term parameter mode is used as the rolling force mode; When the judgment result is a mismatch, the long-term parameter mode is matched as the rolling force mode; The calculation of the difference between the current strip and the previous multiple strips based on the rolling parameters includes, using the formula... The difference degree is calculated; Wherein, k1-k4 are influencing factors, s' is the steel grade code of the previous multiple strips, h' is the target thickness of the previous multiple strips, w' is the target width of the previous multiple strips, and c' is the flag indicating whether the previous multiple strips use a hot-rolling box; s is the steel grade code of the current strip, h is the target thickness of the current strip, w is the target width of the current strip, and c is the flag indicating whether the current strip uses a hot-rolling box. The short-term parameter mode includes taking the first few strips corresponding to the minimum value of the difference as the target strip and using the rolling force parameter of the target strip as the rolling force adaptive parameter of the current strip. The preset parameter table is a layer table; The intermediate parameter mode includes using the strip steel with the same rolling parameters as the current strip steel in the layer table as the target strip steel; The rolling force parameters of the target strip are used as the adaptive rolling force parameters of the current strip; The long-term parameter mode includes using a machine learning model to determine the adaptive parameters of the rolling force.

2. The method for determining adaptive parameters of hot rolling force as described in claim 1, characterized in that, After obtaining the adaptive rolling force parameters of the current strip, the method further includes importing the adaptive rolling force parameters and the rolling parameters of the current strip into the hot rolling force model to improve production efficiency.

3. A device for determining adaptive parameters of hot rolling force, the device being compatible with the method for determining adaptive parameters of hot rolling force according to any one of claims 1-2, the device comprising: The acquisition module is used to acquire the rolling parameters of the current strip and the rolling parameters of the previous multiple strips of the current strip; The calculation module is used to calculate the difference between the current strip and the previous multiple strips based on the rolling parameters; The matching module is used to match the corresponding rolling force mode for the current strip based on the difference degree, so as to obtain the adaptive rolling force parameters of the current strip.

4. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method as described in any one of claims 1-2.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method as described in any one of claims 1-2.

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