Methods, devices, media, and electronic equipment for online cooling dynamic control of medium and heavy plates

Abstract

This application discloses a method, apparatus, medium, and electronic equipment for dynamic online cooling control of medium and heavy plates, relating to the field of online cooling technology for steel plates. The method includes: calculating the maximum cooling transport speed based on the thickness of the steel plate to be controlled and the target transport speed of the target thickness steel plate; calculating the online cooling time based on a predetermined starting cooling temperature, final cooling temperature, and different cooling rates; calculating steel plate cooling transport speeds with different cooling zone lengths corresponding to the same cooling speed based on the online cooling time and different cooling zone lengths; calculating the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, predetermined starting cooling temperature, and final cooling temperature; and selecting the target steel plate cooling transport speed and target cooling zone length by using the maximum and minimum cooling transport speeds as constraints and aiming to maximize the cooling transport speed and minimize the cooling zone length. This method can reduce costs while improving the quality of medium and heavy steel plates.

Description

Technical Field

[0001] This invention relates to the field of metal material processing technology, and in particular to a method, device, medium, and electronic equipment for online cooling dynamic control of medium and thick plates. Background Technology

[0002] Medium and heavy plates, as important structural materials, are widely used in construction, bridges, shipbuilding, machinery manufacturing, pressure vessels, and other fields. For medium and heavy plates with strength grades of 500MPa and below (such as Q235, Q345, and Q420), the market demand is enormous, making production cost control particularly crucial. Online cooling (such as ACC - Accelerated Cooling or UFC - UltraFast Cooling) is a core process in hot-rolled medium and heavy plate production lines, decisively influencing the final product's mechanical properties (especially strength and toughness), flatness, residual stress distribution, and microstructure uniformity.

[0003] Currently, the common online cooling technology for high-strength medium-thick plates tends to employ a strategy of "high-density pipe arrays and multi-stage fine cooling." The core idea is to use a large number of cooling manifolds with a low manifold opening rate (i.e., a small cooling intensity per manifold) to achieve multi-stage, incremental cooling control with small cooling rates. This strategy aims to achieve extremely high cooling path precision and temperature uniformity along the length and width of the steel plate, precisely controlling the complex phase transformation processes of high-strength steel (such as bainitic and martensitic transformations) to meet its stringent performance requirements. However, this fine cooling mode has several significant drawbacks, especially for the production of medium-thick plates below 500 MPa.

[0004] Traditional laminar flow cooling or ultra-fast cooling (UFC) systems control the start-up cooling temperature (SCT), final cooling temperature (FCT), and cooling rate (CR), typically employing a fixed number of manifolds or a fully open cooling mode. This leads to unstable cooling time and flow rate for the steel plate, resulting in uncontrolled plate shape or deviations from the expected final cooling temperature. However, in actual production, due to unreasonable cooling rate design, the start-up cooling temperature fluctuates. The system fails to optimize by combining minimum cooling time (t) and minimum number of manifolds (n), lacking adaptive adjustment capabilities for cooling strategies of different thicknesses. It is difficult to accurately calculate the number of manifolds (N) and steel plate velocity (V) under a given cooling rate (CR), causing changes in the steel plate shape and microstructure when the steel plate thickness (h) or start-up cooling temperature (SCT) changes.

[0005] During the production of medium and heavy plates, the initial cooling temperature of the steel plate fluctuates, which causes changes in the cooling water flow rate, the number of manifolds opened, and the speed of the roller conveyor during online cooling. This makes it difficult for the rapid cooling temperature model to self-learn and correct, thus affecting the low hit rate of the final cooling temperature of the steel plate.

[0006] During the cooling process, steel plates are affected by the gravity of the cooling water and the flow rate of the cooling water on the steel plate surface. The lower surface of the steel plate often cools faster than the upper surface, resulting in a faster microstructure transformation. This causes asymmetry in the microstructure transformation between the upper and lower parts of the steel plate, and the shape of the steel plate changes under different cooling rates. Insufficient cooling rate and prolonged cooling time can lead to asymmetry in the microstructure of the upper and lower parts of the steel plate during cooling, resulting in a "transverse concave shape" and an "upward curling" shape at both ends after cooling. This leads to a low first-pass yield rate, causing a decrease in production efficiency and an increase in production costs due to shape corrections. When producing thick steel plates, excessive cooling rate can result in insufficient cooling time in the core of the steel plate, leading to insufficient core yield strength and failure to meet mechanical property requirements.

[0007] Therefore, in order to improve the control of the cooling shape and microstructure of steel plates, it is urgent to develop an online cooling dynamic control method specifically for medium and heavy plates below 500MPa. Summary of the Invention

[0008] In view of this, the present invention provides a method, device, medium and electronic equipment for online cooling dynamic control of medium and heavy plates, the main purpose of which is to solve the problems of unstable cooling parameters and difficulty in controlling the final cooling temperature and plate shape in steel plate cooling.

[0009] To address the aforementioned problems, this application provides a method for dynamic online cooling control of medium-thick plates, comprising: The maximum cooling and transport speed of the steel plate to be controlled is obtained by calculating based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. The online cooling time of the steel plate to be controlled is obtained by calculating based on the predetermined starting cooling temperature, the predetermined final cooling temperature and different cooling rates. For the same cooling rate, calculations are performed based on the online cooling time and different cooling zone lengths to obtain the steel plate cooling and transport speeds with different cooling zone lengths corresponding to the same cooling rate. The minimum cooling transport speed for different cooling zone lengths is calculated based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. Using the maximum and minimum cooling transport speeds as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, the cooling transport speeds and cooling zone lengths of each steel plate are screened to obtain the target cooling transport speed and target cooling zone length for regulating the online cooling transport of the target steel plate.

[0010] Optionally, the maximum cooling transport speed of the steel plate to be controlled is obtained by calculating based on the thickness of the steel plate to be controlled and the target transport speed of the target thickness steel plate. The mathematical formula for the calculation is:

[0011] in, Maximum cooling transport speed; The thickness of the steel plate to be adjusted.

[0012] Optionally, the calculation based on the predetermined starting cooling temperature, predetermined final cooling temperature, and different cooling rates to obtain the online cooling time of the steel plate to be controlled at different cooling rates specifically includes: The temperature drop difference is obtained by subtracting the predetermined start-up cooling temperature and the predetermined final cooling temperature. The cooling rate of the steel plate to be controlled is determined based on the steel cooling microstructure transformation characteristic curve. Based on the temperature drop difference and the cooling rate, a division operation is performed to obtain the online cooling time of the steel plate to be controlled under different cooling rates.

[0013] Optionally, the step of calculating and processing steel plate cooling and transport speeds for different cooling zone lengths corresponding to the same cooling speed based on the online cooling time and different cooling zone lengths specifically includes: Based on the different lengths of the cooling zone and the online cooling time, a division operation is performed to obtain the steel plate cooling and transport speed corresponding to the different lengths of the cooling zone.

[0014] Optionally, the calculation of the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature specifically includes: Based on different cooling zone lengths and the maximum cooling transport speed, a division operation is performed to obtain the unit steel plate cooling transport speed corresponding to different cooling zone lengths. Based on the temperature drop difference and the unit steel plate cooling transport speed, a division operation is performed to obtain the minimum cooling transport speed for different cooling zone lengths.

[0015] Optionally, the steel plate to be adjusted is a medium-thick steel plate with a strength level of less than or equal to 500 MPa.

[0016] Optionally, the step of filtering the cooling transport speed and cooling zone length of each steel plate, using the maximum cooling transport speed and the minimum cooling transport speed as constraints and aiming to maximize the cooling transport speed and minimize the cooling zone length, to obtain the target cooling transport speed and target cooling zone length for regulating the online cooling transport of the target steel plate, specifically includes: The cooling transport speeds of the steel plates are screened to obtain a sequence of steel plate cooling transport speeds that simultaneously satisfy the condition of being greater than or equal to the minimum cooling transport speed and less than or equal to the maximum cooling transport speed. The maximum steel plate cooling transport speed in the steel plate cooling transport speed sequence is determined as the target steel plate cooling transport speed; The length of the cooling zone corresponding to the target steel plate cooling transport speed is determined as the target cooling zone length.

[0017] To address the aforementioned problems, this application provides an online cooling dynamic control device for medium-thick plates, comprising: The maximum cooling transport speed calculation module is used to calculate the maximum cooling transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. The online cooling time calculation module is used to perform calculations based on the predetermined starting cooling temperature, the predetermined final cooling temperature, and different cooling rates to obtain the online cooling time of the steel plate to be controlled under different cooling rates. The steel plate cooling and transport speed calculation module is used to perform calculations based on the online cooling time and different cooling zone lengths for the same cooling speed, so as to obtain the steel plate cooling and transport speeds with different cooling zone lengths corresponding to the same cooling speed. The minimum cooling transport speed calculation module is used to calculate the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. The filtering module is used to filter the cooling transport speed and cooling zone length of each steel plate with the maximum cooling transport speed and the minimum cooling transport speed as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, to obtain the target cooling transport speed and target cooling zone length for regulating the online cooling transport of the target steel plate.

[0018] To address the aforementioned problems, this application provides a storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described online cooling dynamic control method for medium-thick plates.

[0019] To address the aforementioned problems, this application provides an electronic device, comprising at least a memory and a processor. The memory stores a computer program, and the processor, when executing the computer program in the memory, implements the steps of the above-described online cooling dynamic control method for medium-thick plates.

[0020] The beneficial effects of this application are as follows: Addressing the industry pain points of online cooling for medium and heavy plates below 500MPa, this application proposes a dynamic control method based on the principle of "high cooling rate and few manifolds." This method can be implemented without adding new hardware, simply by optimizing the existing control system. It significantly improves the cooling plate shape, eliminates defects such as transverse concaveness and upward curling at the ends, significantly reduces plate unevenness, and greatly increases the first-pass yield. It also ensures that the mechanical properties of the steel plate surface and core are consistently up to standard, with a high red-hot temperature hit rate. Simultaneously, it effectively shortens cooling time and improves production line cycle time and operational efficiency. This reduces the number of cooling manifolds that need to be opened, thereby lowering overall production costs such as cooling water consumption. Furthermore, it establishes a closed-loop calculation model based on thickness, roll speed, cooling time, and number of cooling zones, enabling adaptive dynamic control of cooling processes for medium and heavy plates of different specifications and steel grades. This improves the intelligence level and system synergy of the production line, specifically filling the gap in dedicated cooling processes for low-strength medium and heavy plates below 500MPa. It balances product quality, production efficiency, and cost control, demonstrating strong applicability and a high return on investment. It has significant promotional and application value for the technological upgrading and quality improvement of related hot rolling production lines.

[0021] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0022] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A schematic flowchart of a method for dynamic control of online cooling of medium-thick plates provided in an embodiment of this application is shown. Figure 2 A flowchart illustrating a method for dynamic control of online cooling of medium-thick plates according to another embodiment of this application is shown. Figure 3 A schematic diagram of an online cooling device for medium-thick plates according to an embodiment of this application is shown; Figure 4 A comparative diagram of Embodiments 7 and 8 in Table 4 of this application is shown; Figure 5 A structural block diagram of a dynamic control device for online cooling of medium-thick plates, according to another embodiment of this application, is shown. Detailed Implementation

[0023] Various embodiments and features of this application are described herein with reference to the accompanying drawings.

[0024] It should be understood that various modifications can be made to the embodiments described herein. Therefore, the above description should not be considered as limiting, but merely as an example of embodiments. Other modifications within the scope and spirit of this application will be apparent to those skilled in the art.

[0025] The accompanying drawings, which are included in and form part of this specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.

[0026] These and other features of this application will become apparent from the following description of preferred forms of embodiments given as non-limiting examples, with reference to the accompanying drawings.

[0027] It should also be understood that although this application has been described with reference to some specific examples, those skilled in the art can certainly implement many other equivalent forms of this application.

[0028] The above and other aspects, features and advantages of this application will become more apparent when taken in conjunction with the accompanying drawings and in view of the following detailed description.

[0029] Specific embodiments of this application are described thereafter with reference to the accompanying drawings; however, it should be understood that the claimed embodiments are merely examples of this application, which can be implemented in various ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that could obscure the application. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely to teach those skilled in the art to use this application in a variety of substantially any suitable detailed structures.

[0030] This specification may use the phrases “in one embodiment,” “in another embodiment,” “in yet another embodiment,” or “in other embodiments,” all of which may refer to one or more of the same or different embodiments according to this application.

[0031] This application provides a method for dynamic control of online cooling of medium-thick plates, such as... Figure 1 As shown, it includes: Step S101: Calculate the maximum cooling and transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. In this step, the steel plate to be controlled is a medium-thick steel plate with a strength grade less than or equal to 500 MPa. The mathematical formula for calculating the maximum cooling transport speed is:

[0032] in, Maximum cooling transport speed; The thickness of the steel plate to be adjusted.

[0033] Step S102: Based on the predetermined starting cooling temperature, predetermined final cooling temperature and different cooling rates, perform calculations to obtain the online cooling time of the steel plate to be controlled under different cooling rates; In this step, a subtraction operation is performed based on the predetermined starting cooling temperature and the predetermined final cooling temperature to obtain the temperature drop difference; the cooling rate of the steel plate to be controlled is determined based on the cooling microstructure transformation characteristic curve of the steel grade; and a division operation is performed based on the temperature drop difference and the cooling rate to obtain the online cooling time of the steel plate to be controlled under different cooling rates.

[0034] Step S103: For the same cooling speed, calculate based on the online cooling time and different cooling zone lengths to obtain the steel plate cooling transport speed with different cooling zone lengths corresponding to the same cooling speed; In the specific implementation process, this step involves performing a division operation based on different cooling zone lengths and online cooling times to obtain the steel plate cooling and transport speeds corresponding to different cooling zone lengths.

[0035] Step S104: Calculate the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. In this step, a division operation is performed based on different cooling zone lengths and the maximum cooling transport speed to obtain the unit steel plate cooling transport speed corresponding to different cooling zone lengths; a division operation is performed based on the temperature drop difference and the unit steel plate cooling transport speed to obtain the minimum cooling transport speed for different cooling zone lengths.

[0036] Step S105: Using the maximum cooling transport speed and the minimum cooling transport speed as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, the cooling transport speed and the length of each of the steel plates are screened to obtain the target cooling transport speed and the target cooling zone length for regulating the online cooling transport of the target steel plate.

[0037] In this step, the cooling transport speeds of each steel plate are screened to obtain a sequence of steel plate cooling transport speeds that simultaneously satisfy the condition of being greater than or equal to the minimum cooling transport speed and less than or equal to the maximum cooling transport speed; the maximum steel plate cooling transport speed in the steel plate cooling transport speed sequence is determined as the target steel plate cooling transport speed; and the length of the cooling zone corresponding to the target steel plate cooling transport speed is determined as the target cooling zone length.

[0038] This application addresses the industry pain points of online cooling for medium and heavy plates below 500MPa by proposing a dynamic control method based on the principle of "high cooling speed and few manifolds." This method requires no new hardware and can be implemented simply by optimizing the existing control system. It significantly improves the cooling plate shape, eliminates defects such as transverse concaveness and upward curling at the ends, significantly reduces plate unevenness, and greatly increases the first-pass yield. It also ensures stable and compliant mechanical properties of the steel plate surface and core, with a high red-hot temperature hit rate. Simultaneously, it effectively shortens cooling time, increases production line cycle time and operating efficiency, and reduces the number of cooling manifolds required for operation, thus lowering overall production costs such as cooling water consumption. Furthermore, it establishes a closed-loop calculation model of thickness-roll speed-cooling time-number of cooling zones, enabling adaptive dynamic control of the cooling process for medium and heavy plates of different specifications and steel grades. This enhances the intelligence level and system synergy of the production line, specifically filling the gap in dedicated cooling processes for low-strength medium and heavy plates below 500MPa. It balances product quality, production efficiency, and cost control, demonstrating strong applicability and a high return on investment. It has significant promotional and application value for the technological upgrading and quality improvement of related hot rolling production lines.

[0039] Another embodiment of this application provides another method for online cooling dynamic control of medium-thick plates, such as... Figure 2 As shown, it includes: Step S201: Calculate the maximum cooling and transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. In this step, the steel plate to be controlled is a medium-thick steel plate with a strength grade less than or equal to 500 MPa. The mathematical formula for calculating the maximum cooling transport speed is:

[0040] in, Maximum cooling transport speed; The thickness of the steel plate to be adjusted.

[0041] The target thickness steel plate can be a 20mm thick steel plate. The target conveying speed of the cooling roller conveyor for the 20mm thick steel plate is 1.6m / s. A function to calculate and control the conveying speed of the cooling roller conveyor based on different steel plate thicknesses is added to the cooling control system of the rapid cooling device. A maximum conveying roller speed limit is imposed on the steel plate to ensure sufficient cooling of the steel plate core and accurate roller speed control. Simultaneously, the maximum speed of the rapid cooling system is matched with the straightening machine, and the minimum roller speed control accuracy is ensured. Apply maximum and minimum speed limits.

[0042] Step S202: Perform a subtraction operation based on the predetermined starting cooling temperature and the predetermined final cooling temperature to obtain the temperature drop difference; In the specific implementation process, this step is based on the predetermined cooling temperature. and the predetermined final cooling temperature Perform a subtraction operation to obtain the temperature drop difference; temperature drop difference The mathematical formula for calculation is:

[0043] Step S203: Determine the cooling rate of the steel plate to be controlled based on the steel cooling microstructure transformation characteristic curve; In the specific implementation of this step, the cooling rate is initially set according to the cooling microstructure transformation characteristics (CCT curve) of the steel grade.

[0044] Step S204: Perform a division operation based on the temperature drop difference and the cooling rate to obtain the online cooling time of the steel plate to be controlled under different cooling rates; In the specific implementation process of this step, the mathematical formula is as follows:

[0045] Step S205: For the same cooling speed, calculate based on the online cooling time and different cooling zone lengths to obtain the steel plate cooling transport speed with different cooling zone lengths corresponding to the same cooling speed; In the specific implementation process of this step, the steel plate cooling of this application requires the configuration of multiple cooling zones, and the number of cooling zones can be set according to actual needs. The mathematical expression for the steel plate cooling transport speed is:

[0046] in, For the cooling and transport speed of steel plates; Represents the length of the cooling zone; This refers to the online cooling time.

[0047] For example, such as Figure 3The diagram shows an online cooling device for medium and heavy plates. It can be divided into four cooling zones of equal length: A, B, C, and D. Each cooling zone includes six sets of symmetrical upper and lower manifolds, and each cooling zone is 6 meters long. Based on the cooling time of the steel plate, the transport speed of the steel plate can be calculated for different cooling zone lengths when using the total number of cooling zones. When using one cooling zone… It is 6m; when using two cooling zones, It is 12m; when using three cooling zones, It is 18m; when using four cooling zones, It is 24m.

[0048] Step S206: Perform a division operation based on different cooling zone lengths and the maximum cooling transport speed to obtain the unit steel plate cooling transport speed corresponding to different cooling zone lengths; In this step, a division operation is performed based on different cooling zone lengths and the maximum cooling transport speed to obtain the unit steel plate cooling transport speed corresponding to different cooling zone lengths. The mathematical expression is:

[0049] Step S207: Perform a division operation based on the temperature drop difference and the unit steel plate cooling transport speed to obtain the minimum cooling transport speed for different cooling zone lengths; In this step, a division operation is performed based on the temperature drop difference and the unit steel plate cooling transport speed to obtain the minimum cooling transport speed for different cooling zone lengths. The mathematical expression is:

[0050] Step S208: Using the maximum cooling transport speed and the minimum cooling transport speed as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, the cooling transport speed and the length of each of the steel plates are screened to obtain the target cooling transport speed and the target cooling zone length for regulating the online cooling transport of the target steel plate.

[0051] In this step, the cooling transport speeds of each steel plate are screened to obtain a sequence of steel plate cooling transport speeds that simultaneously satisfy the condition of being greater than or equal to the minimum cooling transport speed and less than or equal to the maximum cooling transport speed; the maximum steel plate cooling transport speed in the steel plate cooling transport speed sequence is determined as the target steel plate cooling transport speed; and the length of the cooling zone corresponding to the target steel plate cooling transport speed is determined as the target cooling zone length.

[0052] This application addresses the industry pain points of online cooling for medium and heavy plates below 500MPa by proposing a dynamic control method based on the principle of "high cooling speed and few manifolds." This method requires no new hardware and can be implemented simply by optimizing the existing control system. It significantly improves the cooling plate shape, eliminates defects such as transverse concaveness and upward curling at the ends, significantly reduces plate unevenness, and greatly increases the first-pass yield. It also ensures stable and compliant mechanical properties of the steel plate surface and core, with a high red-hot temperature hit rate. Simultaneously, it effectively shortens cooling time, increases production line cycle time and operating efficiency, and reduces the number of cooling manifolds required for operation, thus lowering overall production costs such as cooling water consumption. Furthermore, it establishes a closed-loop calculation model of thickness-roll speed-cooling time-number of cooling zones, enabling adaptive dynamic control of the cooling process for medium and heavy plates of different specifications and steel grades. This enhances the intelligence level and system synergy of the production line, specifically filling the gap in dedicated cooling processes for low-strength medium and heavy plates below 500MPa. It balances product quality, production efficiency, and cost control, demonstrating strong applicability and a high return on investment. It has significant promotional and application value for the technological upgrading and quality improvement of related hot rolling production lines.

[0053] The following explanation of this application will be based on practical applications: As shown in Table 1 below: The maximum cooling transport speed of the steel plate is calculated based on the thickness in the fast cooling L2 control system. Based on the maximum straightening speed of the hot straightener after the fast cooling device is limited to 1.5m / s, the straightening speed of the long steel plate head after entering the straightener is ensured to be consistent with the cooling transport speed. At the same time, the minimum speed of the roller conveyor is limited to 0.5m / s to ensure the minimum speed control accuracy of the fast cooling roller conveyor.

[0054] Table 1: Maximum Cooling Transport Speed ​​by Specification

[0055] As shown in Table 2 below: Based on the number and length of the cooling zones in the rapid cooling device, the cooling rate of the steel plate is precisely calculated and adjusted according to the starting and final cooling temperatures under the process requirements of each steel plate. A calculation model for the cooling rate and roller speed of different steel grades and thicknesses is formulated to achieve the goal of cooling with the minimum number of cooling zones.

[0056] Table 2

[0057] Table 3 shows the comparison results of the number of cooling zones and cooling time for the same type and specification of steel plates under different cooling rates: Table 3: Comparison of the number of cooling zones and cooling time for steel plates of the same type and specification under different cooling rates

[0058] Examples 2, 4, 6, 8, and 10 above are comparative examples of Examples 1, 3, 5, 7, and 9, respectively. They mainly study the comparison of the number of cooling zones and cooling water volume used in the automatic rapid cooling model calculation under different cooling rates for the same variety and specifications, as well as the impact on the red-heat temperature hit, mechanical properties, and plate unevenness.

[0059] The comparison of experimental data from the above embodiments shows that, for the same variety and specification under different cooling rates, a higher cooling rate results in fewer cooling zones in the automatic cooling model, a correspondingly larger cooling flow rate, shorter cooling time, and a relatively better cooling plate shape. However, it has less impact on the accuracy of the red-hot temperature and mechanical properties.

[0060] As shown in Table 4, the comparison results of the actual reddening temperature, performance, and plate shape of the same variety and specification under different cooling rates are as follows: Table 4: Comparison of Actual Red-Return Temperature, Performance, and Plate Shape of the Same Variety and Specifications under Different Cooling Rates

[0061] The method described in this application allows the mechanical properties of the steel plate to better meet design requirements, such as... Figure 4 The diagram shows a comparison of the results of Examples 7 and 8. It can be seen that the cooling plate shape is significantly improved by selecting a method with a large cooling rate and a small number of coils.

[0062] Another embodiment of this application provides a dynamic control device 500 for online cooling of medium-thick plates, such as... Figure 5 As shown, it includes: The maximum cooling transport speed calculation module 501 is used to calculate the maximum cooling transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. The online cooling time calculation module 502 is used to perform calculations based on the predetermined starting cooling temperature, the predetermined final cooling temperature, and different cooling rates to obtain the online cooling time of the steel plate to be controlled under different cooling rates. The steel plate cooling and transport speed calculation module 503 is used to perform calculations based on the online cooling time and different cooling zone lengths for the same cooling speed, so as to obtain the steel plate cooling and transport speed with different cooling zone lengths corresponding to the same cooling speed. The minimum cooling transport speed calculation module 504 is used to calculate the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. The filtering module 505 is used to filter the cooling transport speed and cooling zone length of each steel plate with the maximum cooling transport speed and the minimum cooling transport speed as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, to obtain the target cooling transport speed and target cooling zone length for regulating the online cooling transport of the target steel plate.

[0063] In specific implementation, the maximum cooling transport speed calculation module 501 is specifically used to calculate the maximum cooling transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the target thickness steel plate. The calculation formula is as follows:

[0064] in, Maximum cooling transport speed; The thickness of the steel plate to be adjusted.

[0065] In the specific implementation process, the online cooling time calculation module 502 is specifically used to perform subtraction operation based on the predetermined starting cooling temperature and the predetermined final cooling temperature to obtain the temperature drop difference; determine the cooling rate of the steel plate to be controlled based on the cooling microstructure transformation characteristic curve of the steel grade; and perform division operation based on the temperature drop difference and the cooling rate to obtain the online cooling time of the steel plate to be controlled under different cooling rates.

[0066] In the specific implementation process, the steel plate cooling transport speed calculation module 503 is specifically used to perform division operations based on different cooling zone lengths and online cooling times to obtain the steel plate cooling transport speed corresponding to different cooling zone lengths.

[0067] In the specific implementation process, the minimum cooling transport speed calculation module 504 is specifically used to perform division operations based on different cooling zone lengths and the maximum cooling transport speed to obtain the unit steel plate cooling transport speed corresponding to different cooling zone lengths; and to perform division operations based on the temperature drop difference and the unit steel plate cooling transport speed to obtain the minimum cooling transport speed for different cooling zone lengths.

[0068] In the specific implementation process, the maximum cooling transport speed calculation module 501 is also used to determine that the steel plate to be controlled is a medium-thick steel plate with a strength level of less than or equal to 500MPa.

[0069] In the specific implementation process, the screening module 505 is specifically used to screen the cooling transport speeds of each steel plate to obtain a sequence of steel plate cooling transport speeds that simultaneously satisfy the condition of being greater than or equal to the minimum cooling transport speed and less than or equal to the maximum cooling transport speed; determine the maximum steel plate cooling transport speed in the steel plate cooling transport speed sequence as the target steel plate cooling transport speed; and determine the length of the cooling zone corresponding to the target steel plate cooling transport speed as the target cooling zone length.

[0070] This application addresses the industry pain points of online cooling for medium and heavy plates below 500MPa by proposing a dynamic control method based on the principle of "high cooling speed and few manifolds." This method requires no new hardware and can be implemented simply by optimizing the existing control system. It significantly improves the cooling plate shape, eliminates defects such as transverse concaveness and upward curling at the ends, significantly reduces plate unevenness, and greatly increases the first-pass yield. It also ensures stable and compliant mechanical properties of the steel plate surface and core, with a high red-hot temperature hit rate. Simultaneously, it effectively shortens cooling time, increases production line cycle time and operating efficiency, and reduces the number of cooling manifolds required for operation, thus lowering overall production costs such as cooling water consumption. Furthermore, it establishes a closed-loop calculation model of thickness, roll speed, cooling time, and number of cooling zones, enabling adaptive dynamic control of the cooling process for medium and heavy plates of different specifications and steel grades. This enhances the intelligence level and system synergy of the production line, specifically filling the gap in dedicated cooling processes for low-strength medium and heavy plates below 500MPa. It balances product quality, production efficiency, and cost control, demonstrating strong applicability and a high return on investment. It has significant application value for the technological upgrading and quality improvement of related hot rolling production lines.

[0071] Another embodiment of this application provides a storage medium storing a computer program, which, when executed by a processor, implements the following method steps: Step 1: Calculate the maximum cooling and transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. Step 2: Based on the predetermined starting cooling temperature, predetermined final cooling temperature, and different cooling rates, perform calculations to obtain the online cooling time of the steel plate to be controlled under different cooling rates; Step 3: For the same cooling rate, calculate based on the online cooling time and different cooling zone lengths to obtain the steel plate cooling and transport speed corresponding to different cooling zone lengths for the same cooling rate; Step 4: Calculate the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. Step 5: Using the maximum cooling transport speed and the minimum cooling transport speed as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, filter the cooling transport speed and the length of the cooling zone for each steel plate to obtain the target cooling transport speed and the target cooling zone length for regulating the online cooling transport of the target steel plate.

[0072] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0073] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0074] The specific implementation process of the above method steps can be found in the embodiments of the above-mentioned online cooling dynamic control method for any medium-thick plate, and will not be repeated here.

[0075] This application addresses the industry pain points of online cooling for medium and heavy plates below 500MPa by proposing a dynamic control method based on the principle of "high cooling speed and few manifolds." This method requires no new hardware and can be implemented simply by optimizing the existing control system. It significantly improves the cooling plate shape, eliminates defects such as transverse concaveness and upward curling at the ends, significantly reduces plate unevenness, and greatly increases the first-pass yield. It also ensures stable and compliant mechanical properties of the steel plate surface and core, with a high red-hot temperature hit rate. Simultaneously, it effectively shortens cooling time, increases production line cycle time and operating efficiency, and reduces the number of cooling manifolds required for operation, thus lowering overall production costs such as cooling water consumption. Furthermore, it establishes a closed-loop calculation model of thickness, roll speed, cooling time, and number of cooling zones, enabling adaptive dynamic control of the cooling process for medium and heavy plates of different specifications and steel grades. This enhances the intelligence level and system synergy of the production line, specifically filling the gap in dedicated cooling processes for low-strength medium and heavy plates below 500MPa. It balances product quality, production efficiency, and cost control, demonstrating strong applicability and a high return on investment. It has significant application value for the technological upgrading and quality improvement of related hot rolling production lines.

[0076] Another embodiment of this application provides an electronic device, which can be a server. The electronic device includes a processor, a memory, a network interface, and a database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external clients via a network connection. When the program is executed by the processor, it implements the functions or steps of a server-side method for dynamic online cooling control of medium-thick plates.

[0077] In one embodiment, an electronic device is provided, which can be a client. The electronic device includes a processor, memory, a network interface, a display screen, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface is used to communicate with an external server via a network connection. When the program of the electronic device is executed by the processor, it implements the functions or steps of a client-side method for dynamic control of online cooling of medium-thick plates.

[0078] Another embodiment of this application provides an electronic device, including at least a memory and a processor. The memory stores a computer program, and the processor, when executing the computer program in the memory, performs the following method steps: Step 1: Calculate the maximum cooling and transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. Step 2: Based on the predetermined starting cooling temperature, predetermined final cooling temperature, and different cooling rates, perform calculations to obtain the online cooling time of the steel plate to be controlled under different cooling rates; Step 3: For the same cooling rate, calculate based on the online cooling time and different cooling zone lengths to obtain the steel plate cooling and transport speed corresponding to different cooling zone lengths for the same cooling rate; Step 4: Calculate the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. Step 5: Using the maximum cooling transport speed and the minimum cooling transport speed as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, filter the cooling transport speed and the length of the cooling zone for each steel plate to obtain the target cooling transport speed and the target cooling zone length for regulating the online cooling transport of the target steel plate.

[0079] The specific implementation process of the above method steps can be found in the embodiments of the above-mentioned online cooling dynamic control method for any medium-thick plate, and will not be repeated here.

[0080] This application addresses the industry pain points of online cooling for medium and heavy plates below 500MPa by proposing a dynamic control method based on the principle of "high cooling speed and few manifolds." This method requires no new hardware and can be implemented simply by optimizing the existing control system. It significantly improves the cooling plate shape, eliminates defects such as transverse concaveness and upward curling at the ends, significantly reduces plate unevenness, and greatly increases the first-pass yield. It also ensures stable and compliant mechanical properties of the steel plate surface and core, with a high red-hot temperature hit rate. Simultaneously, it effectively shortens cooling time, increases production line cycle time and operating efficiency, and reduces the number of cooling manifolds required for operation, thus lowering overall production costs such as cooling water consumption. Furthermore, it establishes a closed-loop calculation model of thickness, roll speed, cooling time, and number of cooling zones, enabling adaptive dynamic control of the cooling process for medium and heavy plates of different specifications and steel grades. This enhances the intelligence level and system synergy of the production line, specifically filling the gap in dedicated cooling processes for low-strength medium and heavy plates below 500MPa. It balances product quality, production efficiency, and cost control, demonstrating strong applicability and a high return on investment. It has significant application value for the technological upgrading and quality improvement of related hot rolling production lines.

[0081] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. Those skilled in the art can make various modifications or equivalent substitutions to this application within the scope and nature of this application, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. A method for dynamic control of online cooling of medium-thick plates, characterized in that, include: The maximum cooling and transport speed of the steel plate to be controlled is obtained by calculating based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. The online cooling time of the steel plate to be controlled is obtained by calculating based on the predetermined starting cooling temperature, the predetermined final cooling temperature and different cooling rates. For the same cooling rate, calculations are performed based on the online cooling time and different cooling zone lengths to obtain the steel plate cooling and transport speeds with different cooling zone lengths corresponding to the same cooling rate. The minimum cooling transport speed for different cooling zone lengths is calculated based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. Using the maximum and minimum cooling transport speeds as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, the cooling transport speeds and cooling zone lengths of each steel plate are screened to obtain the target cooling transport speed and target cooling zone length for regulating the online cooling transport of the target steel plate.

2. The method as described in claim 1, characterized in that, The maximum cooling transport speed of the steel plate to be controlled is calculated based on the thickness of the steel plate to be controlled and the target transport speed of the target thickness steel plate. The mathematical formula for the calculation is as follows: in, Maximum cooling transport speed; The thickness of the steel plate to be adjusted.

3. The method as described in claim 1, characterized in that, The calculation process, based on a predetermined starting cooling temperature, a predetermined final cooling temperature, and different cooling rates, yields the online cooling time of the steel plate to be controlled at different cooling rates. Specifically, this includes: The temperature drop difference is obtained by subtracting the predetermined start-up cooling temperature and the predetermined final cooling temperature. The cooling rate of the steel plate to be controlled is determined based on the steel cooling microstructure transformation characteristic curve. Based on the temperature drop difference and the cooling rate, a division operation is performed to obtain the online cooling time of the steel plate to be controlled under different cooling rates.

4. The method as described in claim 1, characterized in that, The calculation process, based on the online cooling time and different cooling zone lengths, for the same cooling rate, yields the steel plate cooling and transport speeds for different cooling zone lengths corresponding to the same cooling rate. Specifically, this includes: Based on the different lengths of the cooling zone and the online cooling time, a division operation is performed to obtain the steel plate cooling and transport speed corresponding to the different lengths of the cooling zone.

5. The method as described in claim 3, characterized in that, The calculation based on the maximum cooling transport speed, the predetermined starting cooling temperature, and the predetermined final cooling temperature to obtain the minimum cooling transport speed for different cooling zone lengths specifically includes: Based on different cooling zone lengths and the maximum cooling transport speed, a division operation is performed to obtain the unit steel plate cooling transport speed corresponding to different cooling zone lengths. Based on the temperature drop difference and the unit steel plate cooling transport speed, a division operation is performed to obtain the minimum cooling transport speed for different cooling zone lengths.

6. The method as described in claim 1, characterized in that, The steel plate to be adjusted is a medium-thick steel plate with a strength grade of less than or equal to 500MPa.

7. The method as described in claim 1, characterized in that, The process of filtering the cooling transport speed and cooling zone length of each steel plate, using the maximum and minimum cooling transport speeds as constraints and aiming to maximize the cooling transport speed and minimize the cooling zone length, yields the target cooling transport speed and target cooling zone length for regulating the online cooling transport of the target steel plate. Specifically, this includes: The cooling transport speeds of the steel plates are screened to obtain a sequence of steel plate cooling transport speeds that simultaneously satisfy the condition of being greater than or equal to the minimum cooling transport speed and less than or equal to the maximum cooling transport speed. The maximum steel plate cooling transport speed in the steel plate cooling transport speed sequence is determined as the target steel plate cooling transport speed; The length of the cooling zone corresponding to the target steel plate cooling transport speed is determined as the target cooling zone length.

8. A dynamic control device for online cooling of medium-thick plates, characterized in that, include: The maximum cooling transport speed calculation module is used to calculate the maximum cooling transport speed of the steel plate to be controlled based on the thickness of the steel plate to be controlled and the target transport speed of the steel plate with the target thickness. The online cooling time calculation module is used to perform calculations based on the predetermined starting cooling temperature, the predetermined final cooling temperature, and different cooling rates to obtain the online cooling time of the steel plate to be controlled under different cooling rates. The steel plate cooling and transport speed calculation module is used to perform calculations based on the online cooling time and different cooling zone lengths for the same cooling speed, so as to obtain the steel plate cooling and transport speeds with different cooling zone lengths corresponding to the same cooling speed. The minimum cooling transport speed calculation module is used to calculate the minimum cooling transport speed for different cooling zone lengths based on the maximum cooling transport speed, the predetermined start-up cooling temperature, and the predetermined final cooling temperature. The filtering module is used to filter the cooling transport speed and cooling zone length of each steel plate with the maximum cooling transport speed and the minimum cooling transport speed as constraints, and with the goal of maximizing the cooling transport speed and minimizing the cooling zone length, to obtain the target cooling transport speed and target cooling zone length for regulating the online cooling transport of the target steel plate.

9. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the online cooling dynamic control method for medium-thick plates according to any one of claims 1-7.

10. An electronic device, characterized in that, It includes at least a memory and a processor, wherein the memory stores a computer program, and the processor, when executing the computer program in the memory, implements the steps of the online cooling dynamic control method for medium and thick plates according to any one of claims 1-7.

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