A plate rolling mill thickness control method and device and electronic equipment
By establishing a preset model of mill body bounce and roll system bounce, and adjusting the mill deformation in real time, the problem of inaccurate thickness control in plate rolling was solved, and precise control of the rolled product thickness was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CISDI INFORMATION TECH CO LTD
- Filing Date
- 2025-11-06
- Publication Date
- 2026-07-21
AI Technical Summary
During the plate rolling process, the measured roll gap value obtained by the mill position sensor is inconsistent with the actual roll gap value, resulting in inaccurate thickness control, especially when switching between rolled product specifications and changing rolls.
By establishing a preset mill body bounce model and a mill roll system bounce model, and combining the current measurement data, the mill deformation is calculated in real time, and the roll gap reduction is adjusted to improve the thickness control accuracy.
It enables real-time and precise control of thickness during the plate rolling process, improving the accuracy and stability of workpiece thickness measurement.
Smart Images
Figure CN121423385B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of sheet metal rolling technology, and in particular to a method, apparatus and electronic equipment for controlling the thickness of a sheet metal rolling mill. Background Technology
[0002] During plate rolling, the measured roll gap value obtained by the mill position sensor is not equal to the actual roll gap value between the work rolls. This is because during rolling, the plastic deformation of the workpiece and the elastic deformation of the mill occur simultaneously. The elastic deformation of the mill, i.e., mill bounce, increases the actual roll gap value. Mill bounce includes roll flattening and deflection, elastic deformation of the mill stand, deformation of the bearing housing, and deformation of other mechanical components. In addition, there are some factors in plate rolling that are difficult to measure directly, such as roll thermal expansion, roll wear, and the thickness of the oil film inside the bearings. These factors also change the actual roll gap value between the work rolls. Accurately calculating the actual roll gap value between the work rolls is crucial for setting mill roll gap control parameters and for soft measurement of workpiece thickness, directly determining the thickness accuracy of the workpiece.
[0003] In related technologies, some factors affecting the actual roll gap value between work rolls are modeled. Combined with the predicted steel plate size and rolling force of unrolled passes, the actual roll gap variation caused by these factors is predicted. A roll gap compensation coefficient is introduced to describe the unmodeled influencing factors, correcting the predicted actual roll gap variation of unrolled passes to obtain the final predicted actual roll gap variation value. The roll gap control parameters of the rolling mill are then set based on this predicted value. In this scheme, the roll gap compensation coefficient is calculated and updated after the actual thickness of the steel plate is measured by a thickness gauge, usually after a pass or after rolling. This results in a significant delay in the thickness gauge's measured data, making it impossible to provide real-time thickness measurement for feedback-based thickness control. Furthermore, the predicted actual roll gap variation caused by some influencing factors cannot be adjusted after calculation. This type of control system uses feedforward control and open-loop control. When the rolling force and actual roll gap influencing factors are not modeled accurately, the thickness control effect is poor, especially when switching between rolled sheet specifications and changing rolls. Summary of the Invention
[0004] This invention provides a method, apparatus, and electronic device for controlling the thickness of a plate rolling mill, in order to solve the technical problem of inaccurate detection of the actual roll gap between the work rolls.
[0005] This invention provides a method for controlling the thickness of a plate rolling mill. The method includes: acquiring current measurement data and predictive control data of plate rolling, wherein the current measurement data includes current measured roll gap value, current measured rolling force, current measured bending roll force, current measured workpiece width, and current measured rolling speed value; and the predictive control data includes predicted exit thickness. The method further involves determining multiple mill deformation measurement values based on a preset mill body bounce model, a preset mill roll system bounce model, and the current measurement data, wherein each mill deformation measurement value includes current mill body bounce, current roll gap value ... The current mill roll system bounce and other deformations of the current mill are considered; the current measured workpiece thickness is determined based on the current measured roll gap value and the measured deformation values of each mill; the roll gap reduction of the plate rolling is adjusted according to the plate thickness error between the current measured workpiece thickness and the predicted exit thickness; wherein, the preset mill body bounce model is obtained based on polynomial fitting with rolling force and bending roll force as independent variables, and / or, the preset mill roll system bounce model is obtained based on polynomial fitting with rolling force, bending roll force and workpiece width as independent variables.
[0006] In one embodiment of the present invention, the determination of the preset mill body bounce model includes: acquiring the mechanical material parameters of the rolls and multiple first historical measurement data of plate rolling, each first historical measurement data including a first measured rolling force, a first measured bending roll force, a first measured rolling speed value and a first measured roll gap value, each first historical measurement data being obtained by pressing the rolls along their entire length without a workpiece based on the variable controlled rolling force; determining multiple first mill body bounces based on the mechanical material parameters and each first historical measurement data; and fitting the established initial mill body bounce model based on each first measured rolling force, each first measured bending roll force and each first mill body bounce to obtain the preset mill body bounce model.
[0007] In one embodiment of the present invention, the establishment of the initial mill body bounce model includes: determining the sum of the rolling force and the bending roll force as the first independent variable; and determining a plurality of undetermined body coefficients as the coefficients corresponding to the first independent variable's linear term, square root term, quadratic term and constant term, so as to obtain the initial mill body bounce model.
[0008] In one embodiment of the present invention, determining the bounce of the first mill body based on the mechanical material parameters and the first historical measurement data includes: determining the first measured mill deformation based on the difference between the first measured roll gap value and the preset initial roll gap; determining the measured oil film thickness based on the first measured rolling force, the first measured bending roll force, and the first measured rolling speed value, and determining the oil film thickness change based on the measured oil film thickness and the initial oil film thickness; determining the measured roll flattening amount based on the first measured rolling force, the first measured bending roll force, and the roll material and shape dimensions in the mechanical material parameters, and determining the roll flattening change based on the measured roll flattening amount and the initial roll flattening amount; and determining the first mill body bounce based on the roll flattening change, the oil film thickness change, and the first measured mill deformation; wherein the initial oil film thickness and the initial roll flattening amount are obtained based on the preset initial rolling force and the preset initial roll gap.
[0009] In one embodiment of the present invention, the determination of the preset mill roll system bounce model includes: acquiring physical property parameters of the rolled material and multiple second historical measurement data of plate rolling, each second historical measurement data including a second measured rolling force, a second measured bending roll force, a second measured rolling speed value, and a second measured roll gap value; determining multiple historical measured rolled piece widths and multiple second mill roll system bounces based on the preset mill body bounce model, the physical property parameters, and each second historical measurement data; fitting the established initial mill roll system bounce model based on each second measured rolling force, each second measured bending roll force, each second mill roll system bounce, and each historical measured rolled piece width to obtain the preset mill roll system bounce model, or updating the model parameters of the preset mill roll system bounce model; wherein each second historical measurement data is obtained based on at least one of a preset theoretical calculation method and production data acquisition, the preset theoretical calculation method including at least one of numerical simulation of the finite element method and the influence function method, and the production data acquisition including at least one of calibration data and actual production data collected under different rolled piece widths.
[0010] In one embodiment of the present invention, the establishment of the initial mill roll system bounce model includes: determining a second independent variable based on the natural logarithm of the reciprocal of the workpiece width, determining a third independent variable by the sum of the rolling force and the bending roll force, and determining the bending roll force as a fourth independent variable; sequentially determining three undetermined roll system coefficients as coefficients corresponding to the square term, linear term, and constant term of the second independent variable to obtain target coefficients; determining the target coefficients as coefficients of the third independent variable, and determining the fourth undetermined roll system coefficient as coefficients of the linear term of the fourth independent variable to obtain the initial mill roll system bounce model.
[0011] In one embodiment of the present invention, determining the historical measured workpiece width and the second mill roll system bounce based on the preset mill body bounce model, the physical performance parameters, and each of the second historical measurement data includes: the second historical measurement data further includes the calibration rolling force, calibration bending roll force, and calibration rolling speed values during roll gap calibration, to determine the calibration mill body bounce based on the preset mill body bounce model, determine the calibration roll system bounce based on the preset theoretical calculation method, and determine other deformations of the calibration mill, including calibration roll thermal expansion, calibration roll wear, and calibration oil film thickness; the second historical measurement data also includes the measured plate temperature, measured plate thickness, and measured plate width at the thickness measurement device after the plate rolling is completed or after a pass, as well as the measured rolling temperature, second measured rolling force, second measured bending roll force, second measured rolling speed value, second measured roll gap value, and work roll plate passage amount for different measurement targets, the measurement targets including the plate. Alternatively, the measurement can be divided into segments along the length of the same plate; based on the physical performance parameters, the temperature of the measured plate, the thickness of the measured plate, the width of the measured plate, and the measured rolling temperature, the historical measured workpiece thickness and width at the measured rolling temperature are determined; based on the second measured roll gap value, the historical measured workpiece thickness, the calibrated mill body bounce, and the calibrated roll system bounce, the second measured mill deformation is determined; based on the second measured rolling force, the second measured bending roll force, and the preset mill body bounce model, the second mill body bounce is determined; based on the second measured rolling force, the second measured bending roll force, the second measured rolling speed value, and the amount of work roll passing over the plate, other deformations of the second mill are determined, and other deformation changes are determined based on the other deformations of the second mill and the other deformations of the calibrated mill; the second mill roll system bounce is determined based on the second mill body bounce, the other deformation changes, and the second measured mill deformation.
[0012] In one embodiment of the present invention, the predictive control data further includes the predicted rolling force, predicted roll bending force, predicted entry thickness, and predicted workpiece width for the unrolled passes before the start of the pass; before determining multiple predicted values for the current pass based on the preset mill body bounce model, the preset mill roll system bounce model, and the current measurement data, the method further includes: determining multiple predicted values for mill deformation based on the predictive control data, each predicted value for mill deformation including predicted mill body bounce, predicted mill roll system bounce, predicted remaining mill deformation, and calibrated remaining mill deformation during roll gap calibration; and determining the roll gap pre-sway value for the plate rolling based on the predicted exit thickness and the predicted values for mill deformation, so as to pre-adjust the roll gap reduction before rolling.
[0013] This invention provides a plate rolling mill thickness control device, comprising: a data acquisition module for acquiring current measurement data and predictive control data of plate rolling, wherein the current measurement data includes current measured roll gap value, current measured rolling force, current measured bending roll force, current measured workpiece width, and current measured rolling speed value, and the predictive control data includes predicted exit thickness; and a deformation determination module for determining multiple mill deformation measurement values based on a preset mill body bounce model, a preset mill roll system bounce model, and the current measurement data, wherein each mill deformation measurement value includes current mill body bounce, current measured roll gap value ... The current mill roll system bounce and other deformations of the current mill; a thickness determination module, used to determine the current measured workpiece thickness based on the current measured roll gap value and the measured values of each mill deformation; a thickness adjustment module, used to adjust the roll gap reduction of the plate rolling according to the plate thickness error between the current measured workpiece thickness and the predicted exit thickness; wherein, the preset mill body bounce model is obtained based on polynomial fitting with rolling force and bending roll force as independent variables, and / or, the preset mill roll system bounce model is obtained based on polynomial fitting with rolling force, bending roll force and workpiece width as independent variables.
[0014] The present invention provides an electronic device comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the plate mill thickness control method as described in any of the above embodiments.
[0015] The beneficial effects of the present invention are as follows: The plate mill thickness control method, device and electronic equipment proposed in this invention decouple the influencing factors by setting the mill body bounce model and the mill roll system bounce model, which can quickly determine the current roll gap deviation value, thereby improving the accuracy of the current measurement of the rolled piece thickness. Attached Figure Description
[0016] 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.
[0017] In the attached diagram: Figure 1 A schematic diagram of an exemplary system architecture provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating a plate mill thickness control method provided in one embodiment of the present invention; Figure 3This is a schematic diagram illustrating an embodiment of the plate mill thickness control method provided in one aspect of the present invention; Figure 4 This is a block diagram of a plate mill thickness control device provided in one embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of the present invention. Detailed Implementation
[0018] The following specific examples illustrate the implementation of the present invention. 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. 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. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.
[0019] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.
[0020] 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.
[0021] Please see Figure 1 , Figure 1 This is a schematic diagram of an exemplary system architecture provided in an embodiment of the present invention. Figure 1 As shown, the system architecture may include a rolling mill 110, a data acquisition device 120, and a computer device 130. The computer device may be at least one of a microcomputer, an embedded computer, an industrial computer, etc., and the data acquisition device 120 is used to collect current measurement data.
[0022] For example, computer device 130 acquires current measurement data and predictive control data for plate rolling. The current measurement data includes the current measured roll gap value, current measured rolling force, current measured bending roll force, current measured workpiece width, and current measured rolling speed value. The predictive control data includes the predicted exit thickness. Multiple mill deformation measurement values are determined based on a preset mill body bounce model, a preset mill roll system bounce model, and the current measurement data. Each mill deformation measurement value includes the current mill body bounce, the current mill roll system bounce, and other current mill deformations. The current measured workpiece thickness is determined based on the current measured roll gap value and the measured deformation values of each mill. The roll gap reduction for plate rolling is adjusted based on the plate thickness error between the current measured workpiece thickness and the predicted exit thickness. The preset mill body bounce model is obtained based on a polynomial fitting with rolling force and bending roll force as independent variables, and / or the preset mill roll system bounce model is obtained based on a polynomial fitting with rolling force, bending roll force, and workpiece width as independent variables.
[0023] In related technologies, there is a technical problem that the actual roll gap between work rolls is not accurately monitored.
[0024] To address the aforementioned technical problems, this invention provides a method, apparatus, and electronic device for controlling the thickness of a plate rolling mill. The implementation details of the technical solutions in the embodiments of this invention are described in detail below.
[0025] Please see Figure 2 , Figure 2 This is a schematic flowchart of a plate rolling mill thickness control method provided in one embodiment of the present invention. Figure 2 As shown, in an exemplary embodiment, the plate mill thickness control method includes at least steps S210 to S240, which are described in detail below: Step S210: Obtain the current measurement data and predictive control data for plate rolling.
[0026] The current measurement data includes the current measured roll gap value, the current measured rolling force, the current measured bending roll force, the current measured workpiece width, and the current measured rolling speed value. The predictive control data includes the predicted exit thickness.
[0027] In one embodiment of the present invention, the plate material includes a steel plate.
[0028] In one embodiment of the present invention, the roll gap deviation between the measured roll gap value and the actual roll gap value of the rolling mill is as follows: Equation (1) in, This is the roll gap deviation value. For the rolling mill body to bounce, To prevent the rolling mill roll system from bouncing, Other deformation amounts in the rolling mill.
[0029] In one embodiment of the present invention, the mill body bounce refers to the bounce that occurs when the mill stand and other mill components (excluding the rolls) are subjected to force. This bounce is determined by the stiffness characteristics of the mill stand and other mill components (excluding the rolls), which remain essentially stable after the mill is manufactured and installed. Therefore, the mill body bounce during rolling is only related to the rolling force and the bending roll force, and exhibits a non-linear relationship.
[0030] In one embodiment of the present invention, the roll system bounce of the rolling mill includes roll flattening and deflection. It is influenced by the roll material, shape and dimensions, rolling force, bending force, and workpiece width. While the roll system bounce can be solved in laboratory simulations using analytical methods, finite element methods, or influence function methods, these methods are computationally complex. Furthermore, the prediction error of the roll system bounce by the process control computer cannot be corrected during the rolling process, resulting in thickness deviations in the final product. Therefore, these methods are not suitable for real-time industrial applications.
[0031] In one embodiment of the present invention, other deformations of the rolling mill are deformations that affect the actual roll gap value of the rolling mill other than rolling mill bounce, including roll thermal expansion, roll wear and oil film thickness, etc.
[0032] In one embodiment of the present invention, the predictive control data further includes the predicted rolling force, predicted roll bending force, predicted entry thickness, and predicted workpiece width for the unrolled passes before the start of the pass; before determining multiple predicted values for the current pass based on the preset mill body bounce model, the preset mill roll system bounce model, and the current measurement data, the method further includes: determining multiple predicted values for mill deformation based on the predictive control data, each predicted value for mill deformation including predicted mill body bounce, predicted mill roll system bounce, predicted remaining mill deformation, and calibrated remaining mill deformation during roll gap calibration; and determining the roll gap pre-sway value for plate rolling based on the predicted exit thickness and the predicted values for mill deformation, so as to pre-adjust the roll gap reduction before rolling.
[0033] In one embodiment of the present invention, the process control system pre-calculates the predicted rolling force for the unrolled passes before the start of each pass. Predicting the bending force of the roller Predicting inlet thickness Predicting export thickness Predicting the width of the rolled piece Based on these predictive control data, multiple mill deformation predictions are made during each pass, including predictions of mill body bounce. Predicting the bounce of the rolling mill roll system Predicting the remaining deformation of the rolling mill And the remaining deformation of the mill during roll calibration. The predicted values of deformation for each mill are determined based on the preset mill body bounce model and the preset mill roll system bounce model, or by the preset theoretical calculation method.
[0034] In one embodiment of the present invention, roll gap calibration is used to characterize and determine whether the actual opening degree between the rolls is consistent with the value displayed by the control system under no-load and load conditions with rolling force, and to perform calibration.
[0035] In one embodiment of the present invention, the process control system sends the calculated predicted value of the mill deformation to the basic automation system, which then pre-adjusts the roll gap reduction of the pressing mechanism before the steel plate is rolled based on the predicted exit thickness and the predicted value of the deformation of each mill.
[0036] In one embodiment of the present invention, the roll gap pre-sway value is determined as follows: Equation (2) in, This is the roll gap pre-sway value. To predict the thickness of the export, To calibrate the rolling mill body bounce, To calibrate the roller system bounce, To predict the bounce of the rolling mill body, To predict the bounce of the rolling mill roll system, To predict the remaining deformation of the rolling mill, To calibrate the remaining deformation of the rolling mill.
[0037] In one embodiment of the present invention, the basic automation system adjusts the roll gap reduction based on the real-time collected current measurement data.
[0038] Step S220: Determine multiple mill deformation measurement values based on the preset mill body bounce model, the preset mill roll system bounce model, and the current measurement data.
[0039] The measured values of deformation of each mill include the current mill body bounce, the current mill roll system bounce, and other deformations of the current mill. The preset mill body bounce model is obtained by polynomial fitting with rolling force and bending force as independent variables, and / or the preset mill roll system bounce model is obtained by polynomial fitting with rolling force, bending force, and workpiece width as independent variables.
[0040] In one embodiment of the present invention, the determination of the preset mill body bounce model includes: acquiring the mechanical material parameters of the rolls and multiple first historical measurement data of plate rolling, each first historical measurement data including a first measured rolling force, a first measured bending roll force, a first measured rolling speed value and a first measured roll gap value, each first historical measurement data being obtained by pressing the rolls along their entire length without a workpiece based on the variable controlled rolling force; determining multiple first mill body bounces based on the mechanical material parameters and each first historical measurement data; and fitting the established initial mill body bounce model based on each first measured rolling force, each first measured bending roll force and each first mill body bounce to obtain the preset mill body bounce model.
[0041] In one embodiment of the present invention, the first historical measurement data is obtained by pressing the rolls along the entire length without workpieces based on only varying the control rolling force. This includes: rotating the rolls at a preset rolling speed value and maintaining a preset balanced bending roll force stable before pressing the rolls along the entire length without workpieces. The pressing of the rolls along the entire length without workpieces includes: starting with a preset initial rolling force and a preset initial roll gap, gradually increasing the control rolling force according to a preset rolling force increment, and collecting first historical measurement data under different stable states. The stable state includes maintaining the control rolling force, the preset balanced bending roll force, and the preset rolling speed value stable until the support roll rotates at least one revolution.
[0042] In one embodiment of the present invention, before the mill is put into operation or after maintenance, the jumping characteristics of the mill body are determined by the full-length roll pressing method, and a model is created to obtain a preset mill body jumping model.
[0043] In one embodiment of the present invention, a fixed preset rolling speed value is used. Rotate the rolls to maintain the preset balance bending force. After stabilization, the rolls are pressed along their full length without a workpiece in the process. This is achieved using a relatively small, preset initial rolling force. and the preset initial roll gap measured by the rolling mill Initially, according to a fixed preset rolling force increment... The controlled rolling force is gradually increased while maintaining stable values for the controlled rolling force, preset balance bending roll force, and preset rolling speed until the support roll rotates at least one revolution. The first stable measured rolling force during the gradual increase of the controlled rolling force is collected in real time. First measurement of bending roller force First measurement of rolling speed value and the first measured roll gap value And store it in the database. These are integers starting from 0, used to identify a set of first historical measurement data obtained by adjusting for a fixed preset rolling force increment; details will not be elaborated further below. The meaning of .
[0044] In one embodiment of the present invention, determining the bounce of the first mill body based on mechanical material parameters and first historical measurement data includes: determining the first measured mill deformation based on the difference between the first measured roll gap value and the preset initial roll gap; determining the measured oil film thickness based on the first measured rolling force, the first measured bending roll force, and the first measured rolling speed value, and determining the change in oil film thickness based on the measured oil film thickness and the initial oil film thickness; determining the measured roll flattening amount based on the first measured rolling force, the first measured bending roll force, and the roll material and shape dimensions in the mechanical material parameters, and determining the change in roll flattening amount based on the measured roll flattening amount and the initial roll flattening amount; and determining the bounce of the first mill body based on the change in roll flattening amount, the change in oil film thickness, and the first measured mill deformation; wherein the initial oil film thickness and the initial roll flattening amount are obtained based on the preset initial rolling force and the preset initial roll gap.
[0045] In one embodiment of the present invention, the determination of the first measurement of the mill deformation is as follows: Equation (3) in, The first measurement is the deformation of the rolling mill. To preset the initial roll gap, The first measured roll gap value.
[0046] In one embodiment of the present invention, the change in oil film thickness is determined as follows: Equation (4) in, This represents the change in oil film thickness. The initial oil film thickness. To measure the thickness of the oil film.
[0047] In one embodiment of the present invention, the amount of flattening change of the roller system is determined as follows: Equation (5) in, This represents the change in flattening of the roller system. To measure the flattening amount of the roller system, This represents the initial flattening amount of the roller system.
[0048] In one embodiment of the present invention, the bounce of the first rolling mill body is determined as follows: Equation (6) in, The first rolling mill body bounced. The first measurement is the deformation of the rolling mill. This represents the change in oil film thickness. This represents the change in flattening of the roller system.
[0049] In one embodiment of the present invention, by combining the above data, a mill body bounce table is obtained, which represents the mapping relationship between the first measured rolling force, the first measured bending roll force, and the first mill body bounce. And store it in the database.
[0050] In one embodiment of the present invention, the establishment of the initial mill body bounce model includes: determining the sum of rolling force and bending roll force as the first independent variable; and determining multiple undetermined body coefficients in sequence as the coefficients corresponding to the first independent variable's linear term, square root term, quadratic term and constant term, so as to obtain the initial mill body bounce model.
[0051] In one embodiment of the present invention, the initial mill body bounce model is as follows: Equation (7) in, For the rolling mill body to bounce, For rolling force, For the bending roller force, This is the first undetermined ontology coefficient. This is the second undetermined ontology coefficient. This is the third undetermined ontology coefficient. This is the fourth undetermined ontology coefficient.
[0052] In one embodiment of the present invention, the data in the mill body bounce table is fitted based on equation (7) to obtain a preset mill body bounce model, which can be used to estimate the mill body bounce online in real time.
[0053] In one embodiment of the present invention, the determination of the preset mill roll system bounce model includes: acquiring the physical performance parameters of the rolled material and multiple second historical measurement data of plate rolling, each second historical measurement data including a second measured rolling force, a second measured bending roll force, a second measured rolling speed value, and a second measured roll gap value; determining multiple historical measured rolled piece widths and multiple second mill roll system bounces based on the preset mill body bounce model, physical performance parameters, and each second historical measurement data; fitting the established initial mill roll system bounce model based on each second measured rolling force, each second measured bending roll force, each second mill roll system bounce, and each historical measured rolled piece width to obtain the preset mill roll system bounce model, or updating the model parameters of the preset mill roll system bounce model; wherein, each second historical measurement data is obtained based on at least one of a preset theoretical calculation method and production data acquisition, the preset theoretical calculation method including at least one of numerical simulation of the finite element method and the influence function method, and the production data acquisition including at least one of calibration data and actual production data acquired under different rolled piece widths.
[0054] In one embodiment of the present invention, the establishment of the initial mill roll system bounce model includes: determining a second independent variable based on the natural logarithm of the reciprocal of the workpiece width, determining a third independent variable based on the sum of the rolling force and the bending force, and determining the bending force as a fourth independent variable; sequentially determining the three undetermined roll system coefficients as the coefficients corresponding to the square term, linear term, and constant term of the second independent variable to obtain the target coefficients; determining the target coefficients as the coefficients of the third independent variable, and determining the fourth undetermined roll system coefficient as the coefficient of the linear term of the fourth independent variable to obtain the initial mill roll system bounce model.
[0055] In one embodiment of the present invention, the initial mill roll system bounce model is as follows: Equation (8) in, To prevent the rolling mill roll system from bouncing, This is the first undetermined roller system coefficient. The length of the working roll. For the width of the rolled piece, This is the second undetermined roller system coefficient. This is the third undetermined roller system coefficient. For rolling force, For the bending roller force, This is the fourth undetermined roller system coefficient.
[0056] In one embodiment of the present invention, the unknown roll system coefficient is obtained by fitting a set of data consisting of a second roll system bounce, a second measured rolling force, a second measured bending roll force, and a historical measured workpiece width. This set of data can be obtained through existing preset theoretical calculation methods, such as numerical simulation using the finite element method or offline calculation using the influence function method, or it can be obtained by collecting calibration data or actual production data under different workpiece widths of the rolling mill.
[0057] In one embodiment of the present invention, the determination of the historical measured workpiece width and the second mill roll system bounce based on a preset mill body bounce model, physical performance parameters, and various second historical measurement data includes: the second historical measurement data further includes the calibrated rolling force, calibrated bending roll force, and calibrated rolling speed values during roll gap calibration, to determine the calibrated mill body bounce based on the preset mill body bounce model, to determine the calibrated roll system bounce based on a preset theoretical calculation method, and to determine other deformations of the calibrated mill, including calibrated roll thermal expansion, calibrated roll wear, and calibrated oil film thickness; the second historical measurement data also includes the measured plate temperature, measured plate thickness, and measured plate width at the thickness measurement equipment after the end of plate rolling or after the end of a pass, as well as the measured rolling temperature, second measured rolling force, second measured bending roll force, second measured rolling speed value, second measured roll gap value, and work roll overload value for different measurement targets. The measurement targets include the sheet material or measurement segments divided along the length of the same sheet material. Based on physical performance parameters, the measured sheet temperature, sheet thickness, sheet width, and rolling temperature, the historical measured workpiece thickness and width at the measured rolling temperature are determined. The second measured mill deformation is determined based on the second measured roll gap value, historical measured workpiece thickness, calibrated mill body bounce, and calibrated roll system bounce. The second mill body bounce is determined based on the second measured rolling force, second measured bending roll force, and a preset mill body bounce model. Other deformations of the second mill are determined based on the second measured rolling force, second measured bending roll force, second measured rolling speed value, and the amount of sheet material passed by the work rolls. Other deformation changes are determined based on these other deformations and calibrated mill deformations. The second mill roll system bounce is determined based on the second mill body bounce, other deformation changes, and the second measured mill deformation.
[0058] In one embodiment of the present invention, the calibration rolling force is collected during roll gap calibration. Calibration of bending roller force 1. Calibrate rolling speed value The calibration mill body bounce is calculated during roll gap calibration based on the established preset mill body bounce model. The bounce of the calibration roller system during roll gap calibration is calculated based on a preset theoretical calculation method. Other deformations of the calibration mill during roll gap calibration are calculated based on the established preset calculation model. .
[0059] In one embodiment of the present invention, after a pass or rolling process is completed, the plate temperature of the steel plate is measured at the thickness measuring device. Measuring the thickness of the sheet material and measuring the width of the sheet material ; Collect the second measurement of the rolling mill roll gap for the corresponding pass. Measure rolling temperature The second measurement is the rolling force. The second measurement is the bending roller force. The second measurement is the rolling speed value. And the amount of sheet material passed through the work roller. (Here) For different measurement targets, details will not be elaborated below. The meaning of .
[0060] In one embodiment of the present invention, the temperature of the steel plate measured at the thickness measuring device is used... Measuring the thickness of the sheet material Measure the width of the board material and measuring rolling temperature By combining the physical property parameters of the rolled material, the historical thickness of the rolled piece at the measured rolling temperature was calculated. and historical measurement of rolled piece width .
[0061] In one embodiment of the present invention, the determination of the second measurement of mill deformation is as follows: Equation (9) in, The second measurement is the deformation of the rolling mill. The second measurement is the roll gap value. For historical measurement of rolled piece thickness, To calibrate the rolling mill body bounce, To calibrate the roller system bounce.
[0062] In one embodiment of the present invention, the determination of other deformation changes relative to the roll gap calibration is as follows: Equation (10) in, For other deformation changes, For other deformation amounts in the second rolling mill, To calibrate other deformation amounts of the rolling mill.
[0063] In one embodiment of the present invention, the bounce of the second rolling mill roll system is determined as follows: Equation (11) in, For the second rolling mill roll system bounce, The second measurement is the deformation of the rolling mill. For the second rolling mill body to bounce, For other deformation changes.
[0064] In one embodiment of the invention, data are combined to obtain a representation of the second measured rolling force. The second measurement is the bending roller force. Historical measurement of rolled piece width The second rolling mill roll system bounces Roller roll system bounce table showing the mapping relationship between them And store it in the database.
[0065] In one embodiment of the present invention, after obtaining the data in the mill roll system bounce table, the values of the undetermined roll system coefficients in the initial mill roll system bounce model can be obtained by data fitting, or the existing model parameters in the preset mill roll system bounce model can be incrementally updated by recursive least squares method.
[0066] Step S230: Determine the thickness of the current measured workpiece based on the current measured roll gap value and the measured deformation values of each rolling mill.
[0067] In one embodiment of the present invention, the current roll gap deviation value is determined based on the measured values of deformation of each of the rolling mills, such as the determination of the current roll gap deviation value based on equation (1) as follows: Equation (12) in, This is the current roll gap deviation value. The current rolling mill body bounces. The current rolling mill roll system bounce, This refers to other deformation amounts in the current rolling mill.
[0068] In one embodiment of the present invention, the current measurement of the workpiece thickness is determined as follows: Equation (13) in, For the current measurement of the rolled piece thickness, The current measured roll gap value, To calibrate the rolling mill body bounce, To calibrate the roller system bounce, To calibrate the remaining deformation of the rolling mill, This represents the current roll gap deviation value.
[0069] Step S240: Adjust the roll gap reduction of the plate rolling according to the plate thickness error between the current measured thickness of the rolled piece and the predicted exit thickness.
[0070] In one embodiment of the present invention, the thickness error of the sheet metal is determined as follows: Equation (13) in, To account for the thickness error of the sheet metal, For the current measurement of the rolled piece thickness, To predict the thickness of the export product.
[0071] In one embodiment of the present invention, the adjustment of the roll gap reduction in sheet rolling can be achieved using existing control algorithms.
[0072] In one embodiment of the present invention, please refer to Figure 3 , Figure 3 This is a schematic diagram illustrating an embodiment of the plate rolling mill thickness control method provided in one embodiment of the present invention. For example... Figure 3 As shown, the target thickness, set roll gap, and soft measurement model parameters are obtained through the process control system. The target thickness is also the predicted exit thickness, and the set roll gap is also the roll gap pre-sway value. The soft measurement model parameters include the values of the undetermined body coefficient in equation (7) and the values of the undetermined roll system coefficient in equation (8). The thickness soft measurement value is obtained based on the roll gap measurement value, rolling force, bending roll force, and rolling speed through the thickness soft measurement model. The thickness soft measurement model is obtained based on equations (7), (8), (12), and (13). The thickness soft measurement value is also the current measured thickness of the rolled piece. The roll gap adjustment controller determines the roll gap adjustment amount through the thickness deviation between the target thickness and the thickness soft measurement value, so as to adjust the roll gap reduction of the mill. The thickness deviation is also the plate thickness error. Through the above modular design, it can be quickly adapted to the existing control system. Among them, the left vertical arrow of the mill is the predicted inlet thickness before the rolled piece is rolled, the right vertical arrow is the current measured thickness of the rolled piece after the rolled piece is rolled, and the right diagonal arrow is the current measured width of the rolled piece. Figure 3 The rolls with larger diameters are called support rolls, and the rolls with smaller diameters are called work rolls.
[0073] Please see Figure 4 , Figure 4 This is a block diagram of a plate rolling mill thickness control device provided in one embodiment of the present invention. This device can be applied to... Figure 1 The implementation environment shown is specifically configured in computer device 130. 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.
[0074] like Figure 4 As shown, a plate mill thickness control device 400 according to an embodiment of the present invention includes: a data acquisition module 410, a deformation determination module 420, a thickness determination module 430, and a thickness adjustment module 440.
[0075] The data acquisition module 410 is used to acquire the current measurement data and predictive control data of the plate rolling. The current measurement data includes the current measured roll gap value, the current measured rolling force, the current measured bending roll force, the current measured workpiece width, and the current measured rolling speed value. The predictive control data includes the predicted exit thickness. The deformation determination module 420 is used to determine multiple mill deformation measurement values based on the preset mill body bounce model, the preset mill roll system bounce model and the current measurement data. Each mill deformation measurement value includes the current mill body bounce, the current mill roll system bounce and other current mill deformations. Thickness determination module 430 is used to determine the thickness of the currently measured rolled piece based on the current measured roll gap value and the measured deformation value of each rolling mill. The thickness adjustment module 440 is used to adjust the roll gap reduction of the plate rolling based on the plate thickness error between the current measured workpiece thickness and the predicted exit thickness. Among them, the preset mill body bounce model is obtained based on polynomial fitting with rolling force and bending roll force as independent variables, and / or, the preset mill roll system bounce model is obtained based on polynomial fitting with rolling force, bending roll force and workpiece width as independent variables.
[0076] It should be noted that the plate mill thickness control device and the plate mill thickness control 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 plate mill thickness control 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 the present invention also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the plate mill thickness control method provided in the above embodiments.
[0078] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of the present invention. Figure 5 The computer system 500 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 the present invention.
[0079] like Figure 5As shown, the computer system 500 includes a central processing unit 501, which can perform various appropriate actions and processes based on a program stored in the read-only memory 502 or a program loaded from the storage section 508 into the random access memory 503, such as performing the methods described in the above embodiments. The random access memory 503 also stores various programs and data required for system operation. The central processing unit 501, the read-only memory 502, and the random access memory 503 are interconnected via a bus 504. An input / output interface 505 is also connected to the bus 504.
[0080] The following components are connected to the input / output interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 510 as needed so that computer programs read from it can be installed into the storage section 508 as needed.
[0081] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs 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 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit 501, it performs various functions defined in the system of the present invention.
[0082] The computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium, a computer-readable storage medium, or any combination thereof. 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, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM), flash memory, optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, 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 may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. Computer programs contained on computer-readable media 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 the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code containing 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, may 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 the present invention 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. Therefore, the technical solutions according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, portable hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of the present invention.
[0085] Another aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer's processor, causes the computer to perform the plate mill thickness control method provided in the above embodiments. 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] In the above embodiments, unless otherwise specified, the use of ordinal numbers such as "first" and "second" to describe common objects only indicates that they refer to different instances of the same object, rather than indicating that the objects being described must be in a given order, whether temporally, spatially, sequentially, or in any other way.
[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 controlling the thickness of a plate rolling mill, characterized in that, The method includes: The current measurement data and predictive control data of plate rolling are obtained. The current measurement data includes the current measured roll gap value, the current measured rolling force, the current measured bending roll force, the current measured workpiece width, and the current measured rolling speed value. The predictive control data includes the predicted exit thickness. Multiple mill deformation measurement values are determined based on the preset mill body bounce model, the preset mill roll system bounce model, and the current measurement data. Each mill deformation measurement value includes the current mill body bounce, the current mill roll system bounce, and other current mill deformations. The thickness of the rolled piece is determined based on the current measured roll gap value and the measured deformation values of each mill. The roll gap reduction during plate rolling is adjusted based on the plate thickness error between the current measured workpiece thickness and the predicted exit thickness. The preset mill body bounce model is obtained based on polynomial fitting with rolling force and bending roll force as independent variables, and / or the preset mill roll system bounce model is obtained based on polynomial fitting with rolling force, bending roll force and workpiece width as independent variables. The method for determining the preset rolling mill body bounce model includes: The mechanical material parameters of the rolls and multiple first historical measurement data of plate rolling are obtained. Each first historical measurement data includes a first measured rolling force, a first measured roll bending force, a first measured rolling speed value and a first measured roll gap value. Each first historical measurement data is obtained by pressing the rolls along the entire length without a workpiece based on the change control rolling force. Multiple first mill body bounces are determined based on the mechanical material parameters and each of the first historical measurement data; Based on the first measured rolling force, the first measured bending roll force, and the first mill body bounce, the established initial mill body bounce model is fitted to obtain a preset mill body bounce model. The expression of the initial mill body bounce model is as follows: in, For the rolling mill body to bounce, For rolling force, For the bending roller force, This is the first undetermined ontology coefficient. This is the second undetermined ontology coefficient. This is the third undetermined ontology coefficient. This is the fourth undetermined ontology coefficient; The method for determining the preset rolling mill roll system bounce model includes: The physical property parameters of the rolled material and multiple second historical measurement data of the plate rolling are obtained. Each second historical measurement data includes a second measured rolling force, a second measured bending roll force, a second measured rolling speed value, and a second measured roll gap value. Based on the preset mill body bounce model, the physical performance parameters, and each of the second historical measurement data, multiple historical measured workpiece widths and multiple second mill roll system bounces are determined. Based on each of the second measured rolling forces, each of the second measured bending roll forces, each of the second mill roll system bounces, and each of the historical measured workpiece widths, the established initial mill roll system bounce model is fitted to obtain the preset mill roll system bounce model, or the model parameters of the preset mill roll system bounce model are updated. The second historical measurement data are obtained based on at least one of a preset theoretical calculation method and production data acquisition. The preset theoretical calculation method includes at least one of numerical simulation using the finite element method and the influence function method. The production data acquisition includes at least one of calibration data and actual production data collected at different roll widths. The expression for the initial mill roll system bounce model is: in, To prevent the rolling mill roll system from bouncing, This is the first undetermined roller system coefficient. The length of the working roll. For the width of the rolled piece, This is the second undetermined roller system coefficient. This is the third undetermined roller system coefficient. For rolling force, For the bending roller force, This is the fourth undetermined roller system coefficient.
2. The plate rolling mill thickness control method according to claim 1, characterized in that, Determining the first mill body bounce based on the mechanical material parameters and the first historical measurement data includes: The first measured mill deformation is determined based on the difference between the first measured roll gap value and the preset initial roll gap. The oil film thickness is determined based on the first measured rolling force, the first measured bending roll force, and the first measured rolling speed value, and the change in oil film thickness is determined based on the measured oil film thickness and the initial oil film thickness. Based on the first measured rolling force, the first measured bending roll force, and the roll material and shape dimensions in the mechanical material parameters, the flattening amount of the measured roll system is determined, and the flattening change of the roll system is determined based on the flattening amount of the measured roll system and the initial flattening amount of the roll system. The bounce of the first mill body is determined based on the change in the flattening of the roll system, the change in the thickness of the oil film, and the first measured mill deformation. The initial oil film thickness and the initial roll flattening amount are obtained based on the preset initial rolling force and the preset initial roll gap.
3. The plate rolling mill thickness control method according to claim 1, characterized in that, The historical measured workpiece width and the second mill roll system bounce are determined based on the preset mill body bounce model, the physical performance parameters, and each of the second historical measurement data, including: The second historical measurement data also includes the calibration rolling force, calibration bending roll force and calibration rolling speed values during roll gap calibration, so as to determine the calibration mill body bounce according to the preset mill body bounce model, determine the calibration roll system bounce according to the preset theoretical calculation method, and determine other deformations of the calibration mill, including calibration roll thermal expansion, calibration roll wear and calibration oil film thickness; The second historical measurement data also includes the measured plate temperature, measured plate thickness, and measured plate width at the thickness measuring device after the plate rolling is completed or after a pass, as well as the measured rolling temperature, second measured rolling force, second measured bending roll force, second measured rolling speed value, second measured roll gap value, and work roll passing through the plate for different measurement targets. The measurement targets include the plate or the measurement segments divided along the length direction of the same plate. The historical measured thickness and width of the rolled piece at the measured rolling temperature are determined based on the physical performance parameters, the measured plate temperature, the measured plate thickness, the measured plate width, and the measured rolling temperature. The deformation of the second measuring mill is determined based on the second measured roll gap value, the historical measured workpiece thickness, the calibrated mill body bounce, and the calibrated roll system bounce. The second mill body bounce is determined based on the second measured rolling force, the second measured bending roll force, and the preset mill body bounce model; Other deformation amounts of the second mill are determined based on the second measured rolling force, the second measured bending roll force, the second measured rolling speed value, and the amount of work roll passing through the plate. Other deformation changes are determined based on the other deformation amounts of the second mill and the other deformation amounts of the calibrated mill. The second mill roll system bounce is determined based on the bounce of the second mill body, the other deformation changes, and the second measured mill deformation.
4. The plate rolling mill thickness control method according to any one of claims 1-3, characterized in that, The predictive control data also includes the predicted rolling force, predicted roll bending force, predicted entry thickness, and predicted workpiece width for the unrolled passes before the start of the pass. Before determining multiple current pass prediction values based on the preset mill body bounce model, the preset mill roll system bounce model, and the current measurement data, the method further includes: Based on the predictive control data, multiple mill deformation prediction values are determined. Each mill deformation prediction value includes the predicted mill body bounce, the predicted mill roll system bounce, the predicted mill other deformation, and the calibrated mill other deformation during roll gap calibration. Based on the predicted exit thickness and the predicted value of the mill deformation, the roll gap pre-sway value for the plate rolling is determined in order to pre-adjust the roll gap reduction before rolling.
5. A plate rolling mill thickness control device, characterized in that, The device employs the plate rolling mill thickness control method according to any one of claims 1-4, and the device comprises: The data acquisition module is used to acquire current measurement data and predictive control data of plate rolling. The current measurement data includes the current measured roll gap value, the current measured rolling force, the current measured bending roll force, the current measured workpiece width, and the current measured rolling speed value. The predictive control data includes the predicted exit thickness. The deformation determination module is used to determine multiple mill deformation measurement values based on the preset mill body bounce model, the preset mill roll system bounce model, and the current measurement data. Each mill deformation measurement value includes the current mill body bounce, the current mill roll system bounce, and other current mill deformations. The thickness determination module is used to determine the thickness of the currently measured rolled piece based on the current measured roll gap value and the measured deformation values of each mill. The thickness adjustment module is used to adjust the roll gap reduction of the plate rolling based on the plate thickness error between the current measured workpiece thickness and the predicted exit thickness; The preset mill body bounce model is obtained based on polynomial fitting with rolling force and bending roll force as independent variables, and / or the preset mill roll system bounce model is obtained based on polynomial fitting with rolling force, bending roll force and workpiece width as independent variables.
6. 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 the one or more processors, cause the electronic device to implement the plate mill thickness control method as described in any one of claims 1 to 4.