A method, system, equipment and medium for controlling steel plate rolling.

Abstract

This application discloses a steel plate rolling control method, system, equipment, and medium, comprising the following steps: obtaining standard design parameters of the target steel plate; wherein, the target steel plate is an arc-shaped steel plate with a gradually changing thickness, and the standard design parameters include the theoretical design thickness H(x) and theoretical radius of curvature R(x) at any arc length position x of the target steel plate; obtaining the initial rolling parameters of the target steel plate according to the standard design parameters; wherein, the initial rolling parameters are the reference rolling force F(x), the reference roll gap G(x), the rolling speed V(x), and the bending roll force S. f (x); Based on the initial rolling parameters, the target steel plate is controlled and the real-time monitoring parameters of the rolling process are obtained; Based on the comparison deviation between the real-time monitoring parameters and the standard design parameters, the corrected rolling parameters are obtained; Based on the corrected rolling parameters, the target steel plate is controlled and rolled. This application has the advantage of improving the rolling quality of arc-shaped gradually thickened plates.

Description

Technical Field

[0001] This application relates to the field of precision control technology for steel rolling, and in particular to a method, system, equipment and medium for controlling steel plate rolling. Background Technology

[0002] Irregularly shaped, tapered steel plates are irregularly shaped cross-section steels with an overall curved surface structure. The thickness of the plate cross-section gradually changes along the direction of the arc curvature, unlike conventional flat plates of uniform thickness or fixed-curvature steel plates. They can be widely used in high-end engineering machinery, marine engineering, and special building structures. This type of irregularly shaped steel plate has extremely high requirements for cross-sectional thickness accuracy, arc curvature consistency, and plate surface flatness, making it a core category of high-precision special steel.

[0003] Currently, traditional steel plate rolling technology is mostly designed for flat plates of uniform thickness or plates with uniform curvature, which has the following obvious technical defects: it cannot adapt to the differentiated rolling requirements of plates with gradually changing thickness and arc shape; the rolling parameters are mostly fixed preset values ​​and cannot be dynamically adapted to the continuous changes in plate thickness and curvature, which can easily lead to local over- or under-pressure of the plate, resulting in defects such as thickness deviation, arc distortion, and plate wrinkles, and poor rolling quality. Summary of the Invention

[0004] The main objective of this application is to provide a steel plate rolling control method, system, equipment, and medium, which aims to solve the technical problem that existing rolling methods are difficult to adapt to arc-shaped gradually thick plates and have poor rolling quality.

[0005] To achieve the above objectives, this application provides a method for controlling steel plate rolling, comprising the following steps: Obtain the standard design parameters of the target steel plate; wherein, the target steel plate is an arc-shaped steel plate with a gradually changing thickness, and the standard design parameters include the theoretical design thickness H(x) and the theoretical radius of curvature R(x) at any arc length position x of the target steel plate; Based on the standard design parameters, the initial rolling parameters of the target steel plate are obtained; these initial rolling parameters include the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at any arc length x position of the target steel plate. f (x); The target steel plate is rolled based on the initial rolling parameters, and real-time monitoring parameters of the rolling process are obtained. Based on the deviation between real-time monitoring parameters and standard design parameters, corrected rolling parameters are obtained; Control the rolling of target steel plates based on modified rolling parameters.

[0006] Optionally, the expression for the reference rolling force F(x) is: ; In the formula, K is the deformation resistance coefficient of the steel plate, B is the rolling width of the steel plate, and R... roll Let H be the working radius of the roll, Δh(x) be the single-pass reduction at position x of the target steel plate, and H be the thickness of the plate blank. The expression for the reference roll gap G(x) is: ; In the formula, M is the rigidity coefficient of the rolling mill stand; δ(x) is the elastic rebound compensation amount at position x of the arc-shaped plate; The expression for the rolling speed V(x) is: ; In the formula, V0 is the reference rolling speed, and H max R is the maximum thickness at the end of the target steel plate. max The maximum radius of curvature of the target steel plate; Bending roller force S f The expression for (x) is: ; In the formula, S f0 The reference bending roll force is α, the bending roll compensation coefficient is H. avg This represents the average thickness of the sheet material.

[0007] Optionally, the real-time monitoring parameters include the actual thickness H'(x), actual radius of curvature R'(x), and real-time temperature T(x) of the rolling zone at position x of the target steel plate; The step of obtaining corrected rolling parameters based on the deviation between real-time monitoring parameters and standard design parameters includes: The actual thickness H'(x), actual radius of curvature R'(x), and real-time temperature T(x) of the rolling zone are input into a preset temperature cause correlation model to obtain the correlation coefficient η(x); where the correlation coefficient η(x) is used to characterize the credibility of the current forming deviation being caused by abnormal rolling temperature; Determine whether the correlation coefficient η(x) is greater than the preset critical threshold η0. If it is, obtain the corrected rolling parameters based on the preset temperature coupling compensation model. If not, obtain the corrected rolling parameters based on the preset PID correction model.

[0008] Optionally, the expression for the temperature-induced correlation model is: ; In the formula, ΔH0 is the preset thickness deviation threshold, ΔR0 is the preset radius of curvature deviation threshold, λ is the temperature sensitivity coefficient, T0 is the standard rated rolling temperature, ΔH(x)=|H(x)-H'(x)|, ΔR(x)=|R(x)-R'(x)|.

[0009] Optionally, the expression for the temperature coupling compensation model is: ; ; ; In the formula, ΔG(x) is the roll gap compensation amount, k T V is the thickness compensation calibration coefficient, ΔV(x) is the rolling speed compensation amount, and V T Here, ΔF(x) is the speed compensation calibration coefficient, ΔF(x) is the rolling force compensation amount, and f is the rolling force compensation amount. T This is the rolling force compensation calibration coefficient.

[0010] Optionally, the expression for the PID correction model is: ; ; ; In the formula, ΔG(x) is the roll gap compensation amount, and K P K i and K d The proportional coefficient, integral coefficient, and differential coefficient correspond to the roll gap correction, respectively; ΔV(x) is the rolling speed compensation amount; K VP and K Vd The proportional and differential coefficients corresponding to the rolling speed correction are respectively, ΔF(x) is the rolling force compensation amount, and K fP and K fi These correspond to the proportional and integral coefficients for rolling force correction, respectively. This represents the average rolling force deviation over multiple sampling periods at position x of the target steel plate.

[0011] Optionally, after obtaining the corrected rolling parameters based on the preset temperature coupling compensation model, the method further includes: Real-time monitoring parameters of the rolling process are continuously acquired over a preset continuous time. Determine whether the deviation between the real-time monitoring parameters and the standard design parameters is within a preset threshold range. If yes, continue rolling the target steel plate based on the corrected rolling parameters. If no, enter the shutdown and cooling procedure and obtain the shutdown and cooling time t. The expression for t is: ; In the formula, β is the calibration coefficient for cooling time.

[0012] To achieve the above objectives, this application also provides a steel plate rolling control system, comprising: The design parameter acquisition module is used to acquire the standard design parameters of the target steel plate. The target steel plate is an arc-shaped steel plate with a gradually changing thickness. The standard design parameters include the theoretical design thickness H(x) and the theoretical radius of curvature R(x) at any arc length position x of the target steel plate. The rolling parameter acquisition module is used to obtain the initial rolling parameters of the target steel plate according to the standard design parameters. These initial rolling parameters include the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at any arc length x position on the target steel plate. f (x); The measured parameter acquisition module is used to control the rolling of the target steel plate based on the initial rolling parameters and to acquire real-time monitoring parameters of the rolling process; The correction parameter acquisition module is used to acquire correction rolling parameters based on the deviation between real-time monitoring parameters and standard design parameters; The rolling control module is used to control the rolling of the target steel plate based on the modified rolling parameters.

[0013] To achieve the above objectives, this application also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0014] To achieve the above objectives, this application also provides a computer-readable storage medium storing a computer program, on which a processor executes the computer program to implement the above-described method.

[0015] The beneficial effects that this application can achieve are as follows: This application uses two core standard design parameters—the theoretical design thickness H(x) and the theoretical radius of curvature R(x)—at any arc length position x of the target steel plate to map and match the corresponding initial rolling parameters of the target steel plate. That is, based on different thickness gradient laws and different curvatures of the target steel plate, it adaptively matches the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at the corresponding position x. f (x) effectively solves the problem that traditional fixed parameters cannot be adapted to the rolling of gradually changing plate materials. At the same time, during the subsequent rolling of the target steel plate based on the initial rolling parameters, real-time monitoring parameters of the rolling process are also collected and compared with the standard design parameters to obtain the comparison deviation. If the comparison deviation exceeds the tolerance, the corresponding corrected rolling parameters can be obtained online. Then, the rolling of the target steel plate can continue to be controlled based on the corrected rolling parameters. Therefore, online correction can reduce the error caused by other factors during the rolling process, improve the rolling control accuracy of the arc-shaped gradually changing thickness plate material, and thus improve the rolling quality. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0017] Figure 1 This is a schematic flowchart of a steel plate rolling control method according to an embodiment of this application; Figure 2 This is a schematic diagram of the target steel plate in an embodiment of this application; Figure 3 This is a schematic diagram of the framework of a steel plate rolling control system according to an embodiment of this application.

[0018] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0020] It should be noted that if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0021] Example 1 Reference Figures 1-2 This embodiment provides a method for controlling steel plate rolling, including the following steps: Obtain the standard design parameters of the target steel plate; wherein, the target steel plate is an arc-shaped steel plate with a gradually changing thickness, and the standard design parameters include the theoretical design thickness H(x) and the theoretical radius of curvature R(x) at any arc length position x of the target steel plate; Based on the standard design parameters, the initial rolling parameters of the target steel plate are obtained; these initial rolling parameters include the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at any arc length x position of the target steel plate. f (x); The target steel plate is rolled based on the initial rolling parameters, and real-time monitoring parameters of the rolling process are obtained. Based on the deviation between real-time monitoring parameters and standard design parameters, corrected rolling parameters are obtained; Control the rolling of target steel plates based on modified rolling parameters.

[0022] In this embodiment, based on the two core standard design parameters—the theoretical design thickness H(x) and the theoretical radius of curvature R(x)—at any arc length position x of the target steel plate (x being the displacement variable along the arc length), the initial rolling parameters of the corresponding target steel plate can be mapped and matched. That is, according to the different thickness gradient laws and different curvatures of the target steel plate, the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at the corresponding position x are adaptively matched. f (x) effectively solves the problem that traditional fixed parameters cannot be adapted to the rolling of gradually changing plate thickness. At the same time, during the subsequent rolling of the target steel plate based on the initial rolling parameters, real-time monitoring parameters of the rolling process are collected and compared with the standard design parameters to obtain the comparison deviation. If the comparison deviation exceeds the tolerance, the corresponding corrected rolling parameters can be obtained online. Then, the rolling of the target steel plate is controlled based on the corrected rolling parameters. Therefore, online correction can reduce the error caused by other factors (such as mill mechanical vibration, rolling temperature, etc.) during the rolling process, improve the rolling control accuracy of the arc-shaped gradually changing thickness plate, and thus improve the rolling quality.

[0023] It should be noted that the theoretical design thickness H(x) of the target steel plate satisfies the following gradient formula: ; In the formula, H max H represents the maximum thickness at the end of the target steel plate. min The minimum end thickness of the target steel plate, L is the length of the thickness gradient interval, S is the design arc length of the plate, and k is the thickness gradient adjustment coefficient. When k=1, it is a linear gradient, and when k≠1, it is a non-linear gradient. This is to adapt to the design requirements of irregularly shaped curved steel plates under different working conditions and has certain guiding significance.

[0024] As an optional implementation, the expression for the reference rolling force F(x) is: ; In the formula, K is the deformation resistance coefficient of the steel plate, B is the rolling width of the steel plate, and R... rollLet H be the working radius of the roll, Δh(x) be the single-pass reduction at position x of the target steel plate, and H be the thickness of the plate blank. The expression for the reference roll gap G(x) is: ; In the formula, M is the rigidity coefficient of the rolling mill stand; δ(x) is the elastic rebound compensation amount at position x of the arc-shaped plate; The expression for the rolling speed V(x) is: ; In the formula, V0 is the reference rolling speed, and H max R is the maximum thickness at the end of the target steel plate. max The maximum radius of curvature of the target steel plate; Bending roller force S f The expression for (x) is: ; In the formula, S f0 The reference bending roll force is α, the bending roll compensation coefficient (unit: kN / mm, determined through process calibration, characterizing the bending roll adjustment sensitivity corresponding to thickness deviation), and H. avg This represents the average thickness of the sheet material.

[0025] In this embodiment, based on the thickness and curvature gradient characteristics of the sheet metal, a mapping model between standard design parameters and core rolling parameters is established. This model can pre-calculate the initial rolling parameters for each rolling interval, mainly including four parameters: reference rolling force, reference roll gap, rolling speed, and bending roll force. The formula for the reference rolling force F(x) is reconstructed based on the hot-rolled plastic deformation mechanics model, which can adapt to the non-uniform deformation characteristics of sheet metal with continuously varying thickness. The smaller the sheet thickness, the greater the required rolling force should be. Therefore, the target forming thickness (i.e., the theoretical design thickness H(x)) should be inversely proportional to the rolling force. It can conform to the mechanical laws of rolling contact arc length, accurately represent the actual contact deformation area between the roll and the plate, and ensure that the mechanical modeling closely matches the real rolling state. In addition, the steel deformation resistance coefficient K (unit: N / mm) 2The K-value is determined by the material of the sheet metal, rolling temperature, and metallographic structure. The higher the temperature, the smaller the K-value, which is suitable for the softening characteristics of high-temperature rolling. Considering that the rolling force during the rolling process will cause elastic stretching of the stand and micro-deformation of the rolls, if the target thickness is directly used as the roll gap value, the finished product thickness will be too thick due to equipment deformation. At the same time, curved irregular sheet metal has a surface springback effect. The greater the curvature and the thicker the sheet metal, the more obvious the springback deformation. Therefore, the formula for the reference roll gap G(x) forms a three-layer correction logic: 1. Based on the target forming thickness H(x), ensure the forming reference; 2. Superimpose the stand elastic deformation compensation F(x) / M: the greater the rolling force, the more obvious the stand stretching. Appropriately enlarge the roll gap to offset the thickness deviation caused by equipment deformation; 3. Subtract the sheet elastic springback δ(x): the curved sheet metal will automatically spring back and thicken after rolling. Pre-compensation is used in advance to offset the springback deformation and ensure that the thickness after forming is accurate. Because curved gradient plates exhibit variations in both thickness and curvature, traditional constant-speed rolling can lead to defects such as thick plate accumulation, thin plate stretching, and curved distortion. Therefore, the above formula for rolling speed V(x) achieves adaptive speed matching through a dual constraint of thickness-linked speed regulation and curvature-linked speed regulation. The thickness speed regulation term... The thick region H(x) is large (i.e., the target forming thickness is large), and the rolling speed can be appropriately increased to avoid large reduction of thick material and accumulation wrinkles caused by lag in metal flow. Furthermore, the square root model is used here to ensure a smooth speed transition without abrupt impacts. The thin region H(x) is small (i.e., the target forming thickness is small), and the speed can be appropriately reduced to prevent the thin plate from being stretched and thinned during high-speed rolling, resulting in sheet tearing. The curvature speed regulation term R(x) / R max The smaller the radius of curvature (the greater the curvature of the arc, the smaller R(x)), the smaller R(x) / R max The smaller the ratio, the lower the rolling speed should be to ensure uniform metal flow and sufficient deformation in the large-radius bend section, effectively avoiding defects such as arc distortion, surface wrinkling, and discontinuous arc transition; the larger the radius of curvature (the smoother the arc surface), the closer R(x) is to R. max When the ratio approaches 1, the rolling speed approaches the benchmark matching speed, improving rolling efficiency in the smooth section while ensuring forming accuracy. This curvature speed regulation logic is primarily adapted to the core rolling process principle of "slow rolling for sharp bends, fast rolling for gentle bends" for irregularly shaped curved steel plates, and is coordinated and unified with the thickness speed regulation logic. Simultaneously, considering that the pressure load on the rolls differs in different thickness ranges during the rolling of gradually thickened plates, leading to differentiated deflection deformation of the rolls, and consequently causing plate warping, edge wavy lines, and flatness deviations, the aforementioned bending roll force S... fFormula (x) is based on dynamic compensation of bending roll force for thickness deviation, achieving real-time roll shape correction. When the target forming thickness at position x is close to the average target thickness, the deviation approaches 0, and the bending roll force maintains the reference value to ensure steady-state flat rolling. When the target forming thickness at position x is greater than the average target thickness, the thickness deviation is positive, and the bending roll force is increased to offset the roll deflection caused by the high pressure in the thick section, preventing the middle of the plate surface from sinking and the edges from wavy. When the target forming thickness at position x is less than the average target thickness, the thickness deviation is negative, and the bending roll force is adaptively reduced to avoid reverse warping caused by over-correction of the thin plate section. Therefore, the bending roll force S f Formula (x) uses the overall average thickness of the plate as a benchmark to achieve local thickness difference bending roll compensation, accurately offset the roll system deformation deviation caused by gradual rolling, and effectively solve the common local unevenness defects such as waves and warping in irregularly shaped gradual steel plates.

[0026] As an optional implementation, the real-time monitoring parameters include the actual thickness H'(x), actual radius of curvature R'(x), and real-time temperature T(x) of the rolling zone at position x of the target steel plate; The step of obtaining corrected rolling parameters based on the deviation between real-time monitoring parameters and standard design parameters includes: The actual thickness H'(x), actual radius of curvature R'(x), and real-time temperature T(x) of the rolling zone are input into a preset temperature cause correlation model to obtain the correlation coefficient η(x); where the correlation coefficient η(x) is used to characterize the credibility of the current forming deviation being caused by abnormal rolling temperature; Determine whether the correlation coefficient η(x) is greater than the preset critical threshold η0. If it is, obtain the corrected rolling parameters based on the preset temperature coupling compensation model. If not, obtain the corrected rolling parameters based on the preset PID correction model.

[0027] Because existing control methods cannot distinguish between "routine deviations caused by mechanical disturbances" and "systematic deviations caused by temperature drift", they cannot carry out corresponding compensation methods, which can easily lead to mass scrapping. Therefore, in this embodiment, considering that there is a certain deviation between the real-time monitoring parameters and the standard design parameters, the cause of this deviation may be the conventional equipment deviation caused by the mechanical vibration of the rolling mill, or it may be that during the continuous rolling process, the rolls and the plate will continuously generate rolling heat, causing the plate deformation resistance, roll shape, and plate springback to drift with temperature, thus producing continuous thickness and curvature deviations, i.e., temperature-induced deviations. Therefore, a temperature-induced correlation model is constructed here. The core parameters, actual thickness H'(x), actual radius of curvature R'(x), and real-time temperature T(x) of the rolling area can be input into the model, and compared with the correlation critical threshold η0. If the correlation coefficient η(x) is greater than the pre-correlation critical threshold η0, it indicates that it is a temperature-induced deviation, and the temperature coupling compensation model is used to obtain the corrected rolling parameters. Otherwise, it indicates that it is a conventional equipment deviation, and the conventional PID correction model can be used to obtain the corrected rolling parameters, thereby realizing automated source tracing of deviation causes and matching the corresponding correction compensation method, further improving rolling accuracy.

[0028] As an optional implementation method, the expression for the temperature-induced correlation model is: ; In the formula, ΔH0 is the preset thickness deviation threshold, ΔR0 is the preset radius of curvature deviation threshold, λ is the temperature sensitivity coefficient (calibrated by material and process), T0 is the standard rated rolling temperature, ΔH(x)=|H(x)-H'(x)|, ΔR(x)=|R(x)-R'(x)|.

[0029] In this embodiment, based on the above model formula, when the temperature has no deviation ( When ), temperature coupling term When the temperature approaches 0, even with minor molding deviations, the final calculated value of η(x) is extremely low, and it can be judged as a normal equipment deviation, requiring no temperature control intervention. When the temperature slightly exceeds the tolerance, i.e., the temperature coupling term rises slightly, the molding deviation is weakly correlated with temperature. As long as the final calculated value of η(x) is less than the correlation critical threshold η0, it is also judged as a normal equipment deviation. Only when the temperature exceeds the tolerance to a certain extent (the temperature coupling term approaches 1), and at the same time there is a certain molding deviation, the calculated value of η(x) increases significantly and exceeds the threshold η0, which can be judged as a temperature-induced deviation, thus initiating temperature compensation. Therefore, based on the above formula, it is possible to accurately distinguish between mechanical normal equipment deviations and temperature-induced deviations, with high discrimination accuracy and strong guidance.

[0030] As an optional implementation, the expression for the temperature coupling compensation model is: ; ; ; In the formula, ΔG(x) is the roll gap compensation amount, k T The thickness compensation calibration coefficient is (pre-calibrated experimentally based on the plate material, rolling temperature range, and plate thickness specifications to adapt to different working conditions and compensation sensitivity), ΔV(x) is the rolling speed compensation amount, and V T Here, ΔF(x) is the speed compensation calibration coefficient (used to calibrate speed compensation sensitivity and adapt to the high-temperature metal flow characteristics of different materials), f is the rolling force compensation amount, and f is the rolling force compensation amount. T This is the rolling force compensation calibration coefficient (calibrated based on the high-temperature deformation resistance attenuation characteristics of steel).

[0031] In this embodiment, the formula for the roll gap compensation amount ΔG(x) is based on both the correlation coefficient η(x) and the real-time thickness deviation ΔH(x), thereby dynamically calculating the roll gap compensation amount and correcting the current reference roll gap G(x). This achieves temperature-adaptive differentiated control of roll gap compensation, accurately matching the temperature-induced thickness drift characteristics. The formula for the rolling speed compensation amount ΔV(x) has a built-in negative control mechanism. When the temperature exceeds the tolerance or the temperature correlation is high, a negative speed correction amount is automatically generated to achieve adaptive control of high-temperature speed reduction. The more severe the temperature deviation from the reference and the stronger the correlation between the deviation and temperature, the greater the speed reduction, accurately offsetting the metal flow rate disorder caused by high temperature. When the temperature is normal, the compensation amount approaches 0, without affecting normal rolling efficiency. The formula for the rolling force compensation amount ΔF(x) indicates that the greater the thickness deviation, the higher the rolling force compensation amount, offsetting the temperature-induced drift in the mechanical properties of steel in real time, making the actual reduction return to the design reference, and ensuring uniform reduction and consistent deformation in the gradual thickness range. In summary, all three sets of formulas use the temperature deviation correlation coefficient η(x) as the core weighting factor, ensuring that all temperature compensation actions are based on the temperature traceability results, eliminating blind compensation without temperature basis, and achieving extremely high control accuracy.

[0032] As an optional implementation, the expression for the PID correction model is: ; ; ; In the formula, ΔG(x) is the roll gap compensation amount, and K P K i and K d The proportional coefficient, integral coefficient, and differential coefficient correspond to the roll gap correction, respectively; ΔV(x) is the rolling speed compensation amount; K VP and K VdThe proportional and differential coefficients corresponding to the rolling speed correction are respectively, ΔF(x) is the rolling force compensation amount, and K fP and K fi These correspond to the proportional and integral coefficients for rolling force correction, respectively. This represents the average rolling force deviation over multiple sampling periods at position x of the target steel plate.

[0033] In this embodiment, the formula for the roll gap compensation amount ΔG(x) is used for closed-loop dynamic correction of the plate thickness deviation. Through proportional-integral-derivative three-dimensional adjustment, the thickness deviation caused by roll gap offset, mechanical vibration, and reduction fluctuation during the gradual rolling process is accurately eliminated. The specific adjustment principle is as follows: through the proportional coefficient K p The roll gap correction amount is output synchronously with the current thickness deviation in real time, achieving immediate response to deviation; through the integral coefficient K i By integrating the historical cumulative thickness deviation, the steady-state residual static error is eliminated, thus resolving the thickness drift problem caused by the accumulation of small deviations over a long period in the gradual change interval; this is achieved through the differential coefficient K. d Based on the rate of change of thickness deviation, the deviation trend is predicted, and sudden deviation changes are suppressed in advance, effectively preventing overshoot and rolling oscillation. The formula for the rolling speed compensation ΔV(x) is used for speed-linked correction of the plate's curvature deviation. Through a proportional-derivative adjustment mechanism, it dynamically adapts to the curved surface forming state, eliminating forming defects such as curved distortion, uneven surface transition, and local waviness. The specific adjustment principle is as follows: through the proportional coefficient K... VP The rolling speed is dynamically fine-tuned based on the real-time curvature deviation; the greater the curvature deviation, the larger the speed correction. This is achieved through the differential coefficient K. Vd Based on the rate of change of curvature deviation, the deformation trend of the curved surface is predicted, and the speed jitter caused by sudden curvature changes is suppressed. This formula omits the integral term because speed is a dynamic transient parameter, and integral accumulation easily leads to speed lag, buildup, and stretching defects. Using only PD adjustment ensures rapid speed response and smooth transition. The formula for the rolling force compensation ΔF(x) above links and corrects the thickness deviation and steady-state deviation of the rolling force, dynamically compensating for rolling pressure, adapting to the deformation resistance differences in the gradually changing thickness range, and ensuring uniform reduction and sufficient deformation at each position. The specific adjustment principle is: through the proportional coefficient K... fP The rolling force is dynamically compensated based on real-time thickness deviation; if the thickness is too large, the pressure is increased, and if the thickness is too small, the pressure is decreased, adapting to the rolling requirements of gradient plates, through the integral coefficient K. fi Steady-state correction is performed on the average rolling force deviation over multiple consecutive frames to eliminate systematic pressure drift caused by roll wear and stand micro-deformation during long-term rolling.

[0034] As an optional implementation, after obtaining the corrected rolling parameters based on the preset temperature coupling compensation model, the method further includes: Real-time monitoring parameters of the rolling process are continuously acquired over a preset continuous time. Determine whether the deviation between the real-time monitoring parameters and the standard design parameters is within a preset threshold range. If yes, continue rolling the target steel plate based on the corrected rolling parameters. If no, enter the shutdown and cooling procedure and obtain the shutdown and cooling time t. The expression for t is: ; In the formula, β is the cooling time calibration coefficient (unit: s / (mm·℃), which is experimentally calibrated in advance according to the material of the plate, the thickness range of the plate, and the rolling process, and is used to unify the dimensions and calibrate the cooling sensitivity).

[0035] In this embodiment, after obtaining the corrected rolling parameters based on temperature coupling compensation and rolling for a period of time, the deviation from the standard design parameters is judged based on the real-time monitoring parameters obtained. If the deviation falls back to the preset threshold range, it is determined that the temperature accumulation exceeds the limit and the deviation cannot be eliminated by parameter fine-tuning. The rolling work must be stopped immediately and the constant temperature cooling and resting stage is entered. At the same time, in order to ensure work efficiency and avoid excessive downtime, the downtime cooling time t can be accurately calculated. The calculation formula of t is a positive product model, which indicates that the larger the forming deviation and the more serious the temperature exceedance, the longer the calculated cooling time should be. This effectively and accurately guides the downtime cooling time to ensure work efficiency.

[0036] Example 2 Reference Figure 3 Based on the same inventive concept as the foregoing embodiments, this embodiment also provides a steel plate rolling control system, including: The design parameter acquisition module is used to acquire the standard design parameters of the target steel plate. The target steel plate is an arc-shaped steel plate with a gradually changing thickness. The standard design parameters include the theoretical design thickness H(x) and the theoretical radius of curvature R(x) at any arc length position x of the target steel plate. The rolling parameter acquisition module is used to obtain the initial rolling parameters of the target steel plate according to the standard design parameters. These initial rolling parameters include the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at any arc length x position on the target steel plate. f (x); The measured parameter acquisition module is used to control the rolling of the target steel plate based on the initial rolling parameters and to acquire real-time monitoring parameters of the rolling process; The correction parameter acquisition module is used to acquire correction rolling parameters based on the deviation between real-time monitoring parameters and standard design parameters; The rolling control module is used to control the rolling of the target steel plate based on the modified rolling parameters.

[0037] The explanations and examples of the modules in this embodiment can be found in the methods of the foregoing embodiments, and will not be repeated here.

[0038] Example 3 Based on the same inventive concept as the foregoing embodiments, this embodiment provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0039] Example 4 Based on the same inventive concept as the foregoing embodiments, this embodiment provides a computer-readable storage medium storing a computer program, and a processor executes the computer program to implement the above-described method.

[0040] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a variety of devices including one or any combination of the above-mentioned memories.

[0041] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for controlling steel plate rolling, characterized in that, Includes the following steps: Obtain the standard design parameters of the target steel plate; wherein, the target steel plate is an arc-shaped steel plate with a gradually changing thickness, and the standard design parameters include the theoretical design thickness H(x) and the theoretical radius of curvature R(x) at any arc length position x of the target steel plate; Based on the standard design parameters, the initial rolling parameters of the target steel plate are obtained; these initial rolling parameters include the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at any arc length x position of the target steel plate. f (x); The target steel plate is rolled based on the initial rolling parameters, and real-time monitoring parameters of the rolling process are obtained. Based on the deviation between real-time monitoring parameters and standard design parameters, corrected rolling parameters are obtained; Control the rolling of target steel plates based on modified rolling parameters.

2. The steel plate rolling control method as described in claim 1, characterized in that, The expression for the reference rolling force F(x) is: ； In the formula, K is the deformation resistance coefficient of the steel plate, B is the rolling width of the steel plate, and R... roll Let H be the working radius of the roll, Δh(x) be the single-pass reduction at position x of the target steel plate, and H be the thickness of the plate blank. The expression for the reference roll gap G(x) is: ； In the formula, M is the rigidity coefficient of the rolling mill stand; δ(x) is the elastic rebound compensation amount at position x of the arc-shaped plate; The expression for the rolling speed V(x) is: ； In the formula, V0 is the reference rolling speed, and H max R is the maximum thickness at the end of the target steel plate. max The maximum radius of curvature of the target steel plate; Bending roller force S f The expression for (x) is: ； In the formula, S f0 The reference bending roll force is α, the bending roll compensation coefficient is H. avg This represents the average thickness of the sheet material.

3. A steel plate rolling control method as described in claim 1 or 2, characterized in that, The real-time monitoring parameters include the actual thickness H'(x) at position x of the target steel plate, the actual radius of curvature R'(x), and the real-time temperature T(x) of the rolling zone; The step of obtaining corrected rolling parameters based on the deviation between real-time monitoring parameters and standard design parameters includes: The actual thickness H'(x), actual radius of curvature R'(x), and real-time temperature T(x) of the rolling zone are input into a preset temperature cause correlation model to obtain the correlation coefficient η(x); where the correlation coefficient η(x) is used to characterize the credibility of the current forming deviation being caused by abnormal rolling temperature; Determine whether the correlation coefficient η(x) is greater than the preset critical threshold η0. If it is, obtain the corrected rolling parameters based on the preset temperature coupling compensation model. If not, obtain the corrected rolling parameters based on the preset PID correction model.

4. The steel plate rolling control method as described in claim 3, characterized in that, The expression for the temperature-induced correlation model is as follows: ； In the formula, ΔH0 is the preset thickness deviation threshold, ΔR0 is the preset radius of curvature deviation threshold, λ is the temperature sensitivity coefficient, T0 is the standard rated rolling temperature, ΔH(x)=|H(x)-H'(x)|, ΔR(x)=|R(x)-R'(x)|.

5. The steel plate rolling control method as described in claim 3, characterized in that, The expression for the temperature coupling compensation model is: ； ； ； In the formula, ΔG(x) is the roll gap compensation amount, k T V is the thickness compensation calibration coefficient, ΔV(x) is the rolling speed compensation amount, and V T Here, ΔF(x) is the speed compensation calibration coefficient, ΔF(x) is the rolling force compensation amount, and f is the rolling force compensation amount. T This is the rolling force compensation calibration coefficient.

6. The steel plate rolling control method as described in claim 3, characterized in that, The expression for the PID correction model is: ； ； ； In the formula, ΔG(x) is the roll gap compensation amount, and K P K i and K d The proportional coefficient, integral coefficient, and differential coefficient correspond to the roll gap correction, respectively; ΔV(x) is the rolling speed compensation amount; K VP and K Vd The proportional and differential coefficients corresponding to the rolling speed correction are respectively, ΔF(x) is the rolling force compensation amount, and K fP and K fi These correspond to the proportional and integral coefficients for rolling force correction, respectively. This represents the average rolling force deviation over multiple sampling periods at position x of the target steel plate.

7. The steel plate rolling control method as described in claim 5, characterized in that, After obtaining the corrected rolling parameters based on the preset temperature coupling compensation model, the process also includes: Real-time monitoring parameters of the rolling process are continuously acquired over a preset continuous time. Determine whether the deviation between the real-time monitoring parameters and the standard design parameters is within a preset threshold range. If yes, continue rolling the target steel plate based on the corrected rolling parameters. If no, enter the shutdown and cooling procedure and obtain the shutdown and cooling time t. The expression for t is: ； In the formula, β is the calibration coefficient for cooling time.

8. A steel plate rolling control system, characterized in that, include: The design parameter acquisition module is used to acquire the standard design parameters of the target steel plate. The target steel plate is an arc-shaped steel plate with a gradually changing thickness. The standard design parameters include the theoretical design thickness H(x) and the theoretical radius of curvature R(x) at any arc length position x of the target steel plate. The rolling parameter acquisition module is used to obtain the initial rolling parameters of the target steel plate according to the standard design parameters. These initial rolling parameters include the reference rolling force F(x), reference roll gap G(x), rolling speed V(x), and bending roll force S at any arc length x position on the target steel plate. f (x); The measured parameter acquisition module is used to control the rolling of the target steel plate based on the initial rolling parameters and to acquire real-time monitoring parameters of the rolling process; The correction parameter acquisition module is used to acquire correction rolling parameters based on the deviation between real-time monitoring parameters and standard design parameters; The rolling control module is used to control the rolling of the target steel plate based on the modified rolling parameters.

9. A computer device, characterized in that, The computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a steel plate rolling control method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement a steel plate rolling control method as described in any one of claims 1-7.

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