A method, system, device and storage medium for cooling a finishing section of a hot strip mill

Abstract

The application provides a hot continuous rolling finishing section cooling method, system, equipment and storage medium, relates to the metallurgical hot rolling control technical field, and the method comprises the following steps: according to the product outline and rolling procedure of the rolling strip in the hot continuous rolling finishing section, the proportional relationship of the inlet cooling water quantity and the outlet cooling water quantity is determined; based on the heat load distribution of each area section of the rolling roller in the hot continuous rolling finishing section and the width parameter of the rolling strip, the distribution mode of the inlet cooling water and the outlet cooling water is determined; when the hot continuous rolling finishing section is cooled according to the proportional relationship and the distribution mode, the rolling process parameter of the hot continuous rolling finishing section is obtained; according to the rolling process parameter, the preset roller system model and the strip metal model are combined, the proportional relationship and the distribution mode of the inlet cooling water quantity and the outlet cooling water quantity are coupled and controlled, and the inlet cooling water quantity and the outlet cooling water quantity are fine-tuned until the hot continuous rolling finishing section meets the processing requirements. The application improves the cooling effect of the hot continuous rolling finishing section.

Description

Technical Field

[0001] This invention relates to the field of metallurgical hot rolling control technology, and more specifically, to a cooling method, system, equipment, and storage medium for the finishing section of a hot continuous rolling mill. Background Technology

[0002] In hot strip rolling production, the control of roll temperature and strip temperature are key parameters to ensure product quality and rolling stability. Roll temperature directly affects the state of the oxide film on its surface, thermal crown, and service life, while strip temperature determines the mechanical properties, microstructure consistency, and shape accuracy of the product. Therefore, the cooling technology of the finishing section of hot strip rolling is mainly divided into roll cooling and strip cooling.

[0003] In related technologies, both roll cooling and strip cooling are achieved by controlling the inlet and outlet water flow rates. Since existing technologies typically treat the cooling water flow rates on the inlet and outlet sides as independent control variables, it is difficult to accurately predict and control the temperature evolution path, phase transformation behavior, and residual stress distribution of the strip throughout the cooling process. This leads to problems such as large temperature differences between the head and tail, significant transverse temperature differences, and frequent longitudinal temperature fluctuations during the strip cooling process, which affect the mechanical properties, microstructure consistency, and sheet shape accuracy of the product. Summary of the Invention

[0004] The problem addressed by this invention is how to improve the cooling effect of the finishing section of a hot strip mill.

[0005] To address the aforementioned problems, this invention provides a cooling method, system, equipment, and storage medium for the finishing section of a hot continuous rolling mill.

[0006] In a first aspect, the cooling method for the finishing section of a hot continuous rolling mill according to the present invention includes: Based on the product outline and rolling specifications of the strip steel rolled in the hot strip mill finishing section, determine the ratio between the inlet cooling water volume and the outlet cooling water volume; Based on the heat load distribution of each section of the rolls in the hot continuous rolling finishing section and the width parameters of the rolled strip, the distribution patterns of the inlet cooling water and the outlet cooling water are determined respectively. When the hot strip finishing section is cooled according to the stated ratio and the stated distribution pattern, the rolling process parameters of the hot strip finishing section are obtained. Based on the rolling process parameters, and in conjunction with the preset roll system model and strip metal model, the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume are coupled and controlled. At the same time, the inlet cooling water volume and the outlet cooling water volume are finely adjusted until the temperature of the hot continuous rolling finishing section meets the processing requirements.

[0007] Optionally, determining the ratio of inlet cooling water volume to outlet cooling water volume based on the product outline and rolling specifications of the rolled strip in the hot strip mill finishing section includes: Extract the steel type and target thickness of the rolled strip from the product outline; Extract the rolling force range, rolling speed curve, and target temperature drop range of the finishing mill unit in the hot strip finishing section from the rolling procedure; Based on the thermal conductivity coefficient corresponding to the steel type and the heat dissipation requirement corresponding to the target thickness, and in conjunction with the target temperature drop range, determine the total cooling water volume required for the hot continuous rolling finishing section; Based on the rolling force range, the basic heat load requirements of each region of the roll are determined, and based on the basic heat load requirements and the heat accumulation rate corresponding to the rolling speed curve, the functional positioning of the inlet cooling water and the outlet cooling water is determined. Based on the stated functional positioning and the total cooling water volume, the proportional relationship is determined.

[0008] Optionally, determining the distribution patterns of the inlet cooling water and outlet cooling water based on the heat load distribution of each section of the rolls in the hot continuous rolling finishing section and the width parameters of the rolled strip includes: A quantitative analysis of the heat load distribution in each section of the roll is performed, and the rolls in the hot continuous rolling finishing section are divided into multiple regions in the axial direction. Based on the width parameter and according to the region, a preset number of independent cooling zones are determined; Based on the independent cooling zones, the distribution patterns of the inlet cooling water and the outlet cooling water are determined respectively.

[0009] Optionally, when cooling the hot strip finishing section according to the proportional relationship and the distribution pattern, obtaining the rolling process parameters of the hot strip finishing section includes: When the hot strip finishing section is cooled according to the ratio and distribution pattern, the rolling speed and temperature parameters of each stand in the finishing mill, as well as the temperature, position and geometric parameters of the rolled strip, are obtained in real time. The rolling speed and temperature parameters of the stand, as well as the temperature, position, and geometric parameters of the rolled strip, are used as the rolling process parameters of the hot strip finishing section.

[0010] Optionally, the step of coupling control of the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume based on the rolling process parameters and in conjunction with a preset roll system model and strip metal model, and simultaneously fine-tuning the inlet cooling water volume and the outlet cooling water volume until the temperature of the hot strip finishing section meets the processing requirements, includes: Based on the preset roll system model and strip metal model, the prediction results corresponding to the roll thermal crown and strip temperature field in the hot continuous rolling finishing section are generated respectively. Based on the rolling process parameters and the prediction results, the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume are updated through a feedforward-feedback composite control mechanism. Based on the updated results of the proportional relationship and the distribution pattern, the inlet cooling water volume and the outlet cooling water volume are finely adjusted until the hot continuous rolling finishing section meets the processing requirements. The processing requirements include: the deviation between the real-time temperature of the strip in the strip temperature field and the preset target value of the strip temperature is less than the preset temperature deviation threshold, and the thermal crown of the roll is within the preset thermal crown standard range.

[0011] Optionally, updating the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume based on the rolling process parameters and prediction results through a feedforward-feedback composite control mechanism includes: The first cooling requirement is determined based on the rolling speed and temperature parameters of the stand. Based on the first cooling demand, determine the first inlet water volume correction value, and update the inlet cooling water volume based on the first inlet water volume correction value; Based on the preset target values ​​corresponding to strip temperature, strip crown, and strip shape, and combined with the temperature and geometric parameters of the rolled strip, the second cooling requirement is determined. The PID control algorithm determines the second inlet water volume correction value and the outlet water volume correction value based on the second cooling demand. Then, based on the second inlet water volume correction value and the outlet water volume correction value, the inlet cooling water volume and the outlet cooling water volume are updated to update the proportional relationship. Based on the rolling speed and temperature parameters of the stand, and combined with the prediction results corresponding to the thermal crown of the roll and the temperature field of the strip, the deviation is calculated to obtain the transverse temperature difference and crown deviation. The distribution pattern is updated based on the lateral temperature difference and the convexity deviation.

[0012] Optionally, the step of fine-tuning the inlet cooling water flow rate and the outlet cooling water flow rate based on the prediction result includes: Based on the predicted results corresponding to the thermal crown of the roll and the temperature field of the strip, the deviations from the target thermal crown and the target temperature field are calculated to obtain the thermal crown deviation and the temperature field deviation. Based on the thermal convexity deviation and the temperature field deviation, determine the inlet cooling water deviation and the outlet cooling water deviation. Based on the inlet cooling water deviation and the outlet cooling water deviation, and combined with the preset fine-tuning critical ranges corresponding to the inlet cooling water and the outlet cooling water respectively, the inlet cooling water volume and the outlet cooling water volume are finely adjusted.

[0013] Secondly, the hot strip finishing section cooling system of the present invention includes: The ratio determination unit is used to determine the ratio between the inlet cooling water volume and the outlet cooling water volume based on the product outline and rolling specifications of the strip steel rolled in the hot strip finishing section. The distribution pattern determination unit is used to determine the distribution patterns of the inlet cooling water and the outlet cooling water based on the heat load distribution of each section of the roll in the hot continuous rolling finishing section and the width parameters of the rolled strip. The data acquisition unit is used to acquire the rolling process parameters of the hot strip finishing section when the hot strip finishing section is cooled according to the proportional relationship and the distribution pattern. The control unit is used to couple and control the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume according to the rolling process parameters, combined with the preset roll system model and strip metal model, and to fine-tune the inlet cooling water volume and the outlet cooling water volume until the temperature of the hot continuous rolling finishing section meets the processing requirements.

[0014] Thirdly, the electronic device of the present invention includes: a processor and a memory, the memory being used to store a computer program; When the computer program is loaded by the processor, it causes the processor to execute the hot strip finishing section cooling method as described above.

[0015] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the hot strip finishing section cooling method as described above.

[0016] The present invention relates to a cooling method, system, equipment, and storage medium for the finishing section of a hot strip mill. By determining the ratio of inlet and outlet cooling water volume based on the product outline and rolling schedule of the strip steel in the finishing section, the cooling requirements corresponding to the strip steel grade characteristics, target thickness, and rolling rhythm are matched, avoiding insufficient cooling or resource waste caused by an imbalance in initial water volume distribution. Based on the heat load distribution of each section of the roll and the strip width parameters, the distribution pattern of inlet and outlet cooling water is determined, ensuring precise matching of cooling water flow rate with the actual heat load of the roll and the heat dissipation requirements in the strip width direction. This effectively solves the problem of oxide film peeling caused by insufficient cooling in the middle of the roll and the defect of excessive transverse temperature difference in the strip. When cooling is performed according to the above ratio and distribution pattern… Real-time acquisition of rolling process parameters enables timely capture of changes in operating conditions such as strip temperature, roll thermal crown, and rolling speed, providing data support for dynamic adjustments and preventing cooling lag due to fluctuations in operating conditions. By combining preset roll system models and strip metal models, the proportional relationship and distribution pattern are coupled and fine-tuned. The feedforward-feedback composite control mechanism predicts cooling demand in advance and corrects deviations in real time. At the same time, the water distribution is optimized using model prediction results. This not only enhances the system's anti-interference ability and robustness but also adapts to dynamic variable speed rolling conditions. Ultimately, it significantly improves the longitudinal and transverse temperature uniformity of strip, the cooling stability of rolls, and the temperature control accuracy, reduces system response lag and overshoot problems, lowers energy consumption, and ensures the mechanical properties, microstructure consistency, and strip shape quality of the product. Attached Figure Description

[0017] Figure 1 This is a schematic flowchart of a cooling method for the finishing section of a hot strip mill according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the coupling process between the inlet cooling water volume and the outlet cooling water volume in one embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the adjustment process of the inlet cooling water volume and the outlet cooling water volume in one embodiment of the present invention; Figure 4 This is a schematic diagram of the PID control process in one embodiment of the present invention; Figure 5 This is a schematic diagram of the cooling system of the hot strip finishing section in another embodiment of the present invention. Detailed Implementation

[0018] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Although some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the accompanying drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0019] It should be understood that the various steps described in the method embodiments of the present invention may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this respect.

[0020] The term "comprising" and its variations as used herein are open-ended, meaning "including but not limited to"; the term "based on" means "at least partially based on"; the term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments"; and the term "optionally" means "optional embodiments". Definitions of other terms will be given in the following description. It should be noted that the concepts of "first," "second," etc., mentioned in this invention are used only to distinguish different devices, modules, or units, and are not intended to limit the order of functions performed by these devices, modules, or units or their interdependencies.

[0021] It should be noted that the terms "a" and "a plurality of" used in this invention are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0022] The names of the messages or information exchanged between the multiple devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of these messages or information.

[0023] Combination Figure 1 As shown in the figure, an embodiment of the present invention provides a cooling method for a hot strip finishing section, comprising: Based on the product outline and rolling specifications of the strip steel rolled in the hot strip mill finishing section, determine the ratio between the inlet cooling water volume and the outlet cooling water volume.

[0024] Specifically, obtaining core parameters through product specifications and rolling schedules is the foundation for achieving coordinated cooling control. Specifically, the product specifications clarify the core attributes of the rolled strip, such as steel grade and target thickness, directly related to the strip's heat dissipation requirements and cooling sensitivity; the rolling schedule defines the key process parameters of the finishing rolling process, such as rolling force, rolling speed, and target temperature drop, determining the heat load level of the rolls and the overall requirements of the cooling system. By combining these two, the total demand targets that the cooling system must meet can be clearly defined first, such as the total cooling water volume required to achieve the target temperature drop. Then, based on the different functions of the inlet and outlet cooling water in finishing rolling cooling, a reasonable water volume ratio can be determined, avoiding the blind allocation of initial water volume.

[0025] Based on the heat load distribution of each section of the rolls in the hot continuous rolling finishing section and the width parameters of the rolled strip, the distribution patterns of the inlet cooling water and the outlet cooling water are determined respectively.

[0026] Specifically, since the heat load distribution in each section of the roll reflects the difference in heat accumulation at different positions along the roll's axis, it directly determines the difference in cooling intensity requirements at different positions; the strip width parameter defines the effective spatial range that cooling needs to cover. Based on these two factors, the distribution patterns of the inlet and outlet can be designed accordingly. In this embodiment, the inlet needs to provide uniform basic cooling across the entire width of the roll, so the distribution pattern must ensure uniform axial coverage of the flow rate; the outlet needs to precisely match the differences in the roll's heat load, so the distribution pattern must strengthen cooling in areas with high heat load and weaken cooling in areas with low heat load, thereby achieving on-demand spatial distribution of cooling water and solving the problem of uneven cooling.

[0027] When the hot strip finishing section is cooled according to the stated ratio and the stated distribution pattern, the rolling process parameters of the hot strip finishing section are obtained.

[0028] Specifically, in actual rolling, the condition of the strip, the condition of the rolls, and the operating status of the equipment may fluctuate over time. If only the initially set proportions and distribution patterns are relied upon, it is easy to cause a disconnect between cooling and actual operating conditions. By acquiring these rolling process parameters in real time, it is possible to promptly grasp the current cooling effect (such as whether the strip temperature meets the standard), the condition of the rolls (such as whether the heat load is unbalanced), and the operating status of the equipment.

[0029] Based on the rolling process parameters, and in conjunction with the preset roll system model and strip metal model, the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume are coupled and controlled. At the same time, the inlet cooling water volume and the outlet cooling water volume are finely adjusted until the temperature of the hot continuous rolling finishing section meets the processing requirements.

[0030] Specifically, by combining model prediction with real-time adjustment, the inlet and outlet cooling water are optimized in synergy to ensure that the cooling effect meets the standards. The preset roll system model can predict key states such as the temperature field and thermal crown of the rolls based on rolling process parameters, while the strip metal model can predict the temperature field and phase transformation behavior of the strip. The combination of these two models can predict the changing trends of cooling demand in advance. Based on this, the proportional relationship (overall water volume distribution) and distribution pattern (spatial flow distribution) of the inlet and outlet are coupled and controlled to avoid the unbalanced coordination caused by independent adjustments. Simultaneously, fine-tuning further corrects local deviations (such as fine-tuning the cooling water volume at the corresponding location when the temperature in a certain area exceeds the standard), ensuring cooling accuracy until the strip temperature and roll condition meet processing requirements, thus solving the problems of low control accuracy and lag in existing technologies. It is worth mentioning that fine-tuning the inlet and outlet cooling water volumes does not affect the proportional relationship between them.

[0031] The cooling method for the finishing section of a hot strip mill of this invention determines the ratio of inlet cooling water volume to outlet cooling water volume based on the product outline and rolling schedule of the strip steel in the finishing section. This matches the basic cooling requirements corresponding to the strip steel grade characteristics, target thickness, and rolling rhythm, avoiding insufficient cooling or resource waste caused by an imbalance in the initial water volume distribution. The distribution pattern of inlet and outlet cooling water is determined based on the heat load distribution of each section of the roll and the strip width parameters, ensuring precise matching of cooling water flow rate with the actual heat load of the roll and the heat dissipation requirements in the strip width direction. This effectively solves the problem of oxide film peeling caused by insufficient cooling in the middle of the roll and the defect of excessive transverse temperature difference in the strip. During cooling according to the above ratio and distribution pattern, rolling data is collected in real time. The process parameters can capture changes in strip temperature, roll thermal crown, rolling speed, and other operating conditions in a timely manner, providing data support for dynamic adjustments and avoiding cooling lag caused by fluctuations in operating conditions. By combining the preset roll system model and strip metal model, the proportional relationship and distribution pattern are coupled and fine-tuned. The cooling demand is predicted in advance and deviations are corrected in real time through a feedforward-feedback composite control mechanism. At the same time, the water distribution is optimized by using the model prediction results. This not only enhances the system's anti-interference ability and robustness, but also adapts to dynamic variable speed rolling conditions. Ultimately, it significantly improves the longitudinal and transverse temperature uniformity of strip, the rolling roll cooling stability and temperature control accuracy, reduces system response lag and overshoot problems, reduces energy consumption, and ensures the mechanical properties, microstructure consistency and strip shape quality of the product.

[0032] Optionally, determining the ratio of inlet cooling water volume to outlet cooling water volume based on the product outline and rolling specifications of the rolled strip in the hot strip mill finishing section includes: Extract the steel type and target thickness of the rolled strip from the product outline; Extract the rolling force range, rolling speed curve, and target temperature drop range of the finishing mill unit in the hot strip finishing section from the rolling procedure; Based on the thermal conductivity coefficient corresponding to the steel type and the heat dissipation requirement corresponding to the target thickness, and in conjunction with the target temperature drop range, determine the total cooling water volume required for the hot continuous rolling finishing section; Based on the rolling force range, the basic heat load requirements of each region of the roll are determined, and based on the basic heat load requirements and the heat accumulation rate corresponding to the rolling speed curve, the functional positioning of the inlet cooling water and the outlet cooling water is determined. Based on the stated functional positioning and the total cooling water volume, the proportional relationship is determined.

[0033] Specifically, firstly, the steel type and target thickness are extracted from the product outline, directly relating to the thermophysical properties and heat dissipation requirements of the strip. Different steel types (such as DP780 high-strength steel and Q235 ordinary steel) correspond to different thermal conductivity coefficients. High-strength steel typically has a lower thermal conductivity coefficient and slower heat dissipation. The larger the target thickness, the greater the temperature difference between the core and surface of the strip, requiring higher heat dissipation intensity. Secondly, the rolling force range, rolling speed curve, and target temperature drop range of the finishing mill are extracted from the rolling specifications. The rolling force range reflects the intensity of frictional heat generation when the rolls contact the strip. The greater the rolling force, the higher the heat load on the rolls. The rolling speed curve determines the rate of heat accumulation per unit time. Heat accumulation is faster during high-speed rolling, requiring adjustments to the cooling rhythm to avoid heat buildup. The target temperature drop range clarifies the temperature drop that the strip needs to achieve from the finishing mill inlet to the outlet (e.g., from 1050℃ to 880℃, a temperature drop of 170℃), providing a core objective for calculating the total cooling water volume. Next, based on the thermal conductivity coefficient of the steel grade, the heat dissipation requirements of the target thickness, and the target temperature drop range, in this embodiment of the invention, the total cooling water volume can be determined using a heat balance calculation method, converting thermophysical parameters and process objectives into specific total water volume values. Then, combined with the rolling force range, the basic heat load requirements of each area of ​​the roll are determined (the heat load is higher in the middle of the roll where the rolling force is concentrated), and the functional positioning of the inlet and outlet cooling water is clarified according to the heat accumulation rate corresponding to the rolling speed curve: since it is necessary to quickly reduce the initial temperature of the roll to lay a stable thermal state for subsequent rolling, the inlet cooling water undertakes the functions of pre-cooling and initial temperature control of the roll. Since it is necessary to accurately control the final temperature of the strip and balance the heat accumulation of the roll due to continuous rolling, the outlet cooling water undertakes the functions of final cooling temperature control and roll heat load balancing. Finally, according to the functional positioning and total cooling water volume, in the preferred embodiment of the invention, the proportion of inlet water volume ranges from 10% to 30%, and the proportion of outlet water volume ranges from 70% to 90%. If the steel grade has slow heat dissipation, a large target temperature drop, and high rolling force with rapid heat accumulation, the proportion of outlet water volume will be appropriately increased.

[0034] In a preferred embodiment of the present invention, the inlet water distribution module is responsible for calculating the inlet cooling water volume according to the product outline and rolling schedule. First, the rolling rhythm of each major width is determined according to the product outline. According to the design specification allocation table, the thickness group is k, for example, the thickness of 2.0~6.0mm is divided into 3 groups, namely 2.0~3.5mm, 3.5~5.0mm, and 5.0~6.0mm. The width group is m, for example, the width of 1000~1800mm is divided into 4 groups, namely 1000~1200mm, 1200~1500mm, 1500~1700mm, and 1700~1800mm. Then, the temperature drop curve of the hot strip finishing mill stand and the transverse temperature difference change law are calculated according to the rolling rhythm. For example, the temperature drop trend from the finishing mill inlet of 1050℃ to the outlet of 880℃, and the temperature difference between the middle and the edge of the strip is controlled within ±10℃. The inlet cooling water volume accounts for 10% to 30% of the total cooling water volume. For example, when rolling DP780 steel, the inlet water volume is set to 22%, and a uniform distribution mode is adopted to ensure that the inlet cooling water covers the entire width of the roll. For example, if the roll body length is 1800mm, the inlet cooling water uniformly covers this range, laying the foundation for the non-uniform distribution of the outlet cooling water.

[0035] In this embodiment of the invention, by accurately extracting key parameters and quantifying them, the blindness of traditional empirical water allocation is avoided. This ensures that the ratio of inlet to outlet water volume matches both the thermophysical properties and heat dissipation requirements of the strip steel and the heat load and heat accumulation rate of the rolls. This provides a stable benchmark for subsequent cooling distribution mode setting and dynamic control. At the same time, by clearly defining the division of labor between inlet and outlet water volume through functional positioning, the problem of low cooling efficiency caused by functional overlap or lack is reduced, ensuring the rationality and stability of the initial operation of the finishing mill cooling system.

[0036] Optionally, determining the distribution patterns of the inlet cooling water and outlet cooling water based on the heat load distribution of each section of the rolls in the hot continuous rolling finishing section and the width parameters of the rolled strip includes: A quantitative analysis of the heat load distribution in each section of the roll is performed, and the rolls in the hot continuous rolling finishing section are divided into multiple regions in the axial direction. Based on the width parameter and according to the region, a preset number of independent cooling zones are determined; Based on the independent cooling zones, the distribution patterns of the inlet cooling water and the outlet cooling water are determined respectively.

[0037] Specifically, firstly, real-time temperatures at different axial positions are collected using roll surface temperature sensors. Combined with the roll thermodynamic model (finite element thermal analysis model), the heat load density at each position is calculated, and heat load density thresholds are set, including high and low load thresholds. The roll axial direction is then divided into high-load, low-load, and transition zones, clearly defining the proportion of each zone along the roll axial direction. Secondly, based on the strip width parameter, a partitioning method matching the number of partitions to the width is adopted. Along the roll axial direction, n independent cooling partitions are symmetrically divided with the strip width centerline as the reference, ensuring that each partition completely covers the corresponding roll area of ​​the strip, avoiding over- or under-coverage of the cooling range. The independent cooling partitions and the high-load, low-load, and transition zones are spatially corresponding and functionally compatible. Specifically, the independent cooling partitions are physical partitioning units, while the high / low load zones are thermal state partitioning units. The former needs to match the heat load distribution of the latter to set the cooling intensity. Finally, the inlet cooling water aims to uniformly cool the roll foundation, so its distribution pattern is determined to be uniform, meaning the inlet cooling water flow rate per unit width is equal in each independent cooling zone, ensuring uniform initial temperature along the roll axis. The outlet cooling water aims to match the roll's heat load distribution and precisely control the cooling intensity, so its distribution pattern is determined to be non-uniform stepped distribution. That is, the flow rate per unit width of the independent cooling zones corresponding to the high-load zone, transition zone, and low-load zone decreases sequentially, forming a stepped flow gradient along the roll axis, achieving precise matching between cooling intensity and heat load. In this embodiment of the invention, based on the width of the strip to be rolled and the target strip shape, an initial outlet water distribution template is retrieved from a pre-set database. The outlet water distribution template defines the reference water volume ratio for different regions along the roll axis (such as the middle, edge, and transition zone), exhibiting a non-uniform stepped distribution.

[0038] In a preferred embodiment of the present invention, firstly, based on the rolling rhythm and rolling schedule, the temperature characteristics of each section of the roll are calculated using a roll thermodynamic model; secondly, considering that the inlet water volume accounts for 10% to 30% of the total water volume, the outlet cooling water volume is determined to account for 70% to 90% of the total cooling water volume. An overall water volume distribution pattern is adopted to allocate the outlet water volume. With the roll axis as the center, the roll axial direction is divided into n independent width units according to the strip width. For example, a strip width of 1500mm is divided into 5 300mm wide units, n=5. The unit width water volume is divided into n intervals according to size, ensuring that each water volume interval corresponds one-to-one with the strip width unit, facilitating precise matching with the rolling load distribution of each area of ​​the roll; finally, a correlation relationship between the unit width flow rate of the inlet and outlet is established: let the flow rate of each width unit at the inlet be Y1, Y2…Y… n Exports are X1, X2...X n The default setting is Y1:Y2:…:Y n =X1:X2:…:X nTo maintain a coordinated distribution trend, if a local convexity anomaly is detected, the flow ratio of the corresponding units at the inlet and outlet can be adjusted to be inconsistent, thereby effectively solving the problems of insufficient roll cooling, excessive wear, and significant convexity fluctuations as a whole, and completing the determination of the initial distribution pattern of the outlet cooling water.

[0039] In this embodiment of the invention, the cooling intensity is matched with the actual heat demand of the roll by quantifying the heat load and dividing the cooling zone according to the strip width to avoid resource waste and cooling deficiency. The differentiated distribution pattern is designed to meet the basic cooling at the inlet and the precise temperature control at the outlet respectively. This effectively solves the problems of insufficient cooling in the middle of the roll (which easily causes oxide film peeling) and large transverse temperature difference of the strip (which affects the shape and performance) caused by the traditional uniform distribution. It improves the cooling uniformity of the roll and the transverse temperature consistency of the strip, thereby improving the cooling effect of the finishing section of hot continuous rolling.

[0040] Optionally, when cooling the hot strip finishing section according to the proportional relationship and the distribution pattern, obtaining the rolling process parameters of the hot strip finishing section includes: When the hot strip finishing section is cooled according to the ratio and distribution pattern, the rolling speed and temperature parameters of each stand in the finishing mill, as well as the temperature, position and geometric parameters of the rolled strip, are obtained in real time. The rolling speed and temperature parameters of the stand, as well as the temperature, position, and geometric parameters of the rolled strip, are used as the rolling process parameters of the hot strip finishing section.

[0041] Specifically, the cooling of the finishing mill section is initiated according to a preset proportional relationship and distribution pattern as a time node, and the real-time data acquisition process is started simultaneously to ensure that the acquired data completely corresponds to the current cooling conditions. In the embodiments of the present invention, for each stand of the finishing mill, the rolling speed can be acquired by a speed sensor installed in the stand drive system, and the stand temperature parameters can be acquired by a contact temperature sensor embedded in the stand roller table. For the rolled strip, the strip temperature parameters are acquired by an infrared thermometer at the finishing mill and the exit, the position parameters are acquired by a strip head or tail position tracking sensor, and the thickness, width, and shape data of the strip are acquired by a thickness gauge, a width gauge, and a shape detection roll, respectively. Finally, the acquired stand rolling speed, stand temperature parameters, strip temperature parameters, strip position parameters, and strip geometric parameters are uniformly defined as the rolling process parameters of the hot continuous rolling finishing section to ensure that the data range called by the subsequent control links is clear and without omissions.

[0042] In this embodiment of the invention, by clearly defining the acquisition trigger conditions, configuring detection equipment for different objects, and clearly classifying parameters, it is ensured that the rolling process parameters can reflect the cooling conditions and the status of the strip and the stand in real time and comprehensively. This avoids the blind control caused by missing or delayed parameters in traditional acquisition methods, provides accurate data for subsequent parameter-based coupled control and fine-tuning, ensures that cooling adjustments can closely match dynamic rolling requirements, and improves the timeliness and accuracy of cooling control.

[0043] Optionally, the step of coupling control of the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume based on the rolling process parameters and in conjunction with a preset roll system model and strip metal model, and simultaneously fine-tuning the inlet cooling water volume and the outlet cooling water volume until the temperature of the hot strip finishing section meets the processing requirements, includes: Based on the preset roll system model and strip metal model, the prediction results corresponding to the roll thermal crown and strip temperature field in the hot continuous rolling finishing section are generated respectively. Based on the rolling process parameters and the prediction results, the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume are updated through a feedforward-feedback composite control mechanism. Based on the updated results of the proportional relationship and the distribution pattern, the inlet cooling water volume and the outlet cooling water volume are finely adjusted until the hot continuous rolling finishing section meets the processing requirements. The processing requirements include: the deviation between the real-time temperature of the strip in the strip temperature field and the preset target value of the strip temperature is less than the preset temperature deviation threshold, and the thermal crown of the roll is within the preset thermal crown standard range.

[0044] Specifically, firstly, a dual-model collaborative prediction is performed using a pre-set roll system model and a strip metal model. The pre-set roll system model is constructed based on roll thermodynamics and structural mechanics, simulating the thermal expansion law of rolls. The pre-set strip metal model is constructed based on the theory of strip heat conduction and phase transformation, simulating the temperature evolution of strip. Specifically, rolling process parameters (including strip temperature, roll temperature, rolling force, etc.) are input into the pre-set roll system model to generate predicted roll thermal crown values; simultaneously, they are input into the strip metal model to generate predicted strip temperature field values ​​(including longitudinal temperature trends and transverse temperature difference distribution). Secondly, the proportional relationship and distribution pattern are updated through a feedforward-feedback composite control mechanism. This includes: based on dynamic parameters such as rolling speed and strip width in the rolling process parameters, combined with the prediction results of the dual models, predicting changes in cooling demand; using a PID control algorithm, comparing the deviations of the actual strip temperature and actual roll thermal crown in the rolling process parameters with the model prediction results and target values, calculating correction amounts, and simultaneously updating the inlet and outlet distribution patterns. Finally, based on the prediction results and composite control feedback, water volume is fine-tuned. The local flow rate of the inlet cooling water is adjusted according to the deviation between the predicted roll thermal crown and the preset thermal crown standard range; the zoned flow rate of the outlet cooling water is adjusted according to the deviation between the predicted strip temperature field and the preset temperature target value. Furthermore, the processing requirements are typically that the real-time strip temperature deviates from the target value by less than ±15℃, and the roll thermal crown is within the standard range of 50-150μm, to ensure that the cooling effect meets the standards.

[0045] Combination Figure 2 As shown, firstly, based on the ratio of inlet and outlet cooling water volume determined by the product outline and rolling specifications, the lateral ratio of inlet and outlet cooling water volume of the finishing mill is set. Then, combined with the inlet and outlet cooling water volume distribution pattern determined based on the roll heat load distribution and strip width parameters, the lateral law of heat transfer coefficient is calculated by region, and this law is integrated through the single-stand equivalent heat transfer function. Subsequently, combined with the strip temperature parameters (coupled strip temperature field) obtained during the rolling process and the stand heat source distribution data, the roll temperature field and thermal crown are generated using the preset roll system model, thereby obtaining the strip crown and plate shape. Next, these indicators are compared with the preset target values ​​(corresponding to processing requirements). If they are not met, the deviation value is calculated and fed back to the outlet cooling water volume distribution link to adjust the lateral ratio and distribution pattern. If they are met, the post-rolling residual distribution is recorded and the indicator requirements are improved, realizing the dynamic updating and fine-tuning of the ratio and distribution pattern of inlet and outlet cooling water volume, and finally meeting the processing requirements such as strip temperature and roll thermal crown.

[0046] Combination Figure 3As shown, in another preferred embodiment of the present invention, the strip shape and crown index can be used as the core target. First, the load roll gap shape is determined by combining sample cases and current operating parameters. Then, the roll thermal crown is calculated based on the inherited conditions of each stand and the online measured rolling parameters. At the same time, the roll temperature field is obtained through the strip temperature field model and the equivalent heat transfer coefficient. Subsequently, the inlet and outlet water volume matching is completed according to the current operating conditions. First, the outlet water volume is quickly adjusted and it is judged whether it meets the index requirements. If it meets the requirements, the closed-loop control is completed. If it does not meet the requirements, the inlet water volume is quickly adjusted and it is judged again whether it meets the requirements. If it still does not meet the requirements, the inlet and outlet water volumes are increased proportionally at the same time, and the operating data of this time is saved as a new sample case to achieve precise matching between cooling water volume and strip shape and roll state.

[0047] In this embodiment of the invention, the risk of cooling deviation is avoided in advance by using dual-model prediction, and the feedforward-feedback composite control takes into account both working condition prediction and real-time correction. Furthermore, the local cooling effect is optimized by precise fine-tuning, which effectively solves the problems of response lag and overshoot in traditional control. At the same time, the cooling effect is ensured to meet the standard by using quantitative processing requirements as the termination standard, which significantly improves the temperature control accuracy of strip steel and the thermal stability of rolls, and ensures the consistency of product mechanical properties and plate shape quality.

[0048] Optionally, updating the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume based on the rolling process parameters and prediction results through a feedforward-feedback composite control mechanism includes: The first cooling requirement is determined based on the rolling speed and temperature parameters of the stand. Based on the first cooling demand, determine the first inlet water volume correction value, and update the inlet cooling water volume based on the first inlet water volume correction value; Based on the preset target values ​​corresponding to strip temperature, strip crown, and strip shape, and combined with the temperature and geometric parameters of the rolled strip, the second cooling requirement is determined. The PID control algorithm determines the second inlet water volume correction value and the outlet water volume correction value based on the second cooling demand. Then, based on the second inlet water volume correction value and the outlet water volume correction value, the inlet cooling water volume and the outlet cooling water volume are updated to update the proportional relationship. Based on the rolling speed and temperature parameters of the stand, and combined with the prediction results corresponding to the thermal crown of the roll and the temperature field of the strip, the deviation is calculated to obtain the transverse temperature difference and crown deviation. The distribution pattern is updated based on the lateral temperature difference and the convexity deviation.

[0049] Specifically, by introducing a feedforward-feedback composite control mechanism, combined with rolling process parameters and prediction results, dynamic updates to the ratio and distribution pattern of inlet and outlet cooling water volumes are achieved. Firstly, based on the rolling speed and temperature parameters of the mill stand, the initial cooling demand is calculated using a preset model or empirical formula, thereby determining the first inlet water volume correction value and making initial adjustments to the inlet cooling water volume. This process leverages the advantages of feedforward control, predicting cooling demand in advance based on real-time changes in rolling speed and temperature parameters, rapidly responding to dynamic conditions, and providing a foundation for subsequent precise control. Subsequently, using a PID control algorithm, combined with preset target values ​​for strip temperature, crown, and shape, as well as actual temperature and geometric parameters, the second cooling demand is calculated, thereby determining the second inlet and outlet water volume correction values. These correction values ​​are applied to adjust the inlet and outlet cooling water volumes, achieving precise feedback control of the cooling water volume. Furthermore, by combining the predicted results of roll thermal crown and strip temperature field, the transverse temperature difference and crown deviation are calculated, and the distribution pattern is updated accordingly to further optimize the cooling effect. This updated distribution pattern dynamically changes the flow distribution of cooling water in the width direction (lateral) of the rolls based on real-time operating conditions. This process not only considers real-time monitoring data but also incorporates predictive models. Through feedback correction and distribution pattern adjustment, it achieves refined control of the cooling process, effectively solving problems such as poor temperature uniformity and large thermal crown fluctuations caused by decoupled cooling water control in existing technologies. This significantly improves the cooling control accuracy and product quality of the hot strip finishing section. In a preferred embodiment of the invention, if the lateral temperature difference is greater than or equal to a preset positive threshold, it indicates that the temperature in the middle of the strip is too high, thus requiring an increase in the proportion of water exiting the middle of the rolls to enhance central cooling. If the lateral temperature difference is less than a negative threshold, it indicates that the temperature at the edge of the strip is too low, thus requiring a decrease in the proportion of water exiting the edge of the rolls to weaken edge cooling. If the predicted thermal crown value exceeds the allowable range, the water distribution patterns at the inlet and outlet are adjusted collaboratively to precisely control the thermal expansion of the rolls and ensure it meets the strip shape control requirements. Throughout the rolling process, the aforementioned proportional relationship and distribution pattern adjustment form a closed-loop control loop, which is executed periodically (e.g., every 0.5-1 second) during the rolling process, thereby achieving online, dynamic, and adaptive adjustment of the distribution pattern.

[0050] Combination Figure 4 As shown, the inlet and outlet water volume target curves are generated based on the strip shape and convexity model. Combined with the current operating parameters, the temperature of the rolls and strip is predicted, and the transverse temperature deviation of the rolls is obtained accordingly. Based on this deviation, the inlet and outlet water volume ratio is determined and then input into the coupling control module. The coupling control module synchronously executes the inlet feedforward adjustment and the outlet feedback adjustment to obtain the current strip convexity and strip shape. Finally, the deviation between the current strip convexity and strip shape and the target value is input into the PID control loop.

[0051] In another preferred embodiment of the present invention, a PID controller is typically used to execute the PID control algorithm. Specifically, the PID controller performs independent calculations on temperature, convexity, and plate shape.

[0052] Taking temperature control as an example, the controlled object is the actual temperature of the strip at the finishing mill exit; the set value is the target temperature required by the process (such as 880°C); the feedback value is the actual temperature measured by the infrared thermometer at the exit; and the control quantity is the total cooling water volume at the exit that needs to be adjusted.

[0053] Based on the above settings, the PID control process is as follows: First, proportional (P) control is performed. The current temperature deviation e(t) is calculated as: actual temperature - target temperature. The proportional term output is: P out =Kp×e (t); Among them, P out The output is the proportional term, where Kp is the proportionality coefficient, which determines the sensitivity of the reaction. This step immediately generates a correction amount proportional to the deviation. Because the actual temperature is higher than expected, the P term (proportional term) directly outputs an instruction to increase the cooling water flow.

[0054] Next, integral (I) control is performed. The sum of temperature deviations within the accumulated time t is ∫e(t) dt, and the output integral term is: I out =Ki×∫e (t) dt; Among them, I out The output is the integral term, where Ki is the integration coefficient, which determines the speed at which steady-state error is eliminated. Based on the output integral term, steady-state error is eliminated. If the temperature remains too high, the I term (integral term) will output increasingly stronger correction commands through the accumulation of deviations until the temperature is pulled back to the target value.

[0055] Then, differential (D) control is performed, calculating the rate of change of the current temperature deviation de(t) / dt, and the output differential term is: D out =Kd×de (t) / dt; Where t is the time variable, de(t) / dt is the rate of change of temperature deviation at time t, and Kd is the differential coefficient, which determines the strength of the advance suppression, thereby providing the advance regulation effect. Due to the rapid rise in temperature, term D (differential term) will output the suppression command to brake in advance and prevent the system from overshooting.

[0056] The final adjustment to the export volume is the sum of three items, namely: Control quantity = P out +I out +D out ; The water volume control value is decomposed into each transverse zone along the roll axis according to the current outlet water volume distribution ratio to obtain the second inlet water volume correction value and the outlet water volume correction value, and the corresponding water volume adjustment is performed.

[0057] Based on the PID control process described above, similarly, crown control and strip shape control can be applied. Specifically, taking crown control as an example, the controlled object is the actual crown of the strip at the finishing mill exit; the setpoint is the target crown required by the process (e.g., 100μm); the feedback value is the actual crown measured by the strip shape detection roll; and the control quantity is the lateral distribution ratio of the outlet cooling water. The PID controller first calculates the current crown deviation (actual crown - target crown). The proportional term (Kp) outputs the corresponding adjustment amount according to the magnitude of the deviation (e.g., if the crown is too large, immediately increase the proportion of water at the edge of the roll exit); the integral term (Ki) accumulates the total deviation to eliminate the persistent crown steady-state error (e.g., if the crown slightly exceeds the target for a long time, gradually strengthen the edge cooling); the derivative term (Kd) calculates the rate of change of the crown deviation. If the crown increases rapidly, an inhibitory adjustment command is output in advance to avoid overshoot; finally, the control quantity superimposed by the three terms will act on the lateral partition flow of the outlet cooling unit to achieve precise crown control.

[0058] Taking strip shape control as an example, the controlled object is the actual strip shape (e.g., flatness) at the finishing mill exit; the setpoint is the target strip shape required by the process (e.g., ≤3I); the feedback value is the actual flatness data measured by the strip shape analyzer; and the control variable is the coordinated distribution pattern of the inlet and outlet cooling water volumes. The PID controller first calculates the current strip shape deviation (actual flatness - target flatness). The proportional term (Kp) outputs an immediate adjustment command based on the deviation (e.g., increasing the outlet water volume at the edge when the strip shape is wavy). The integral term (Ki) accumulates the deviation to eliminate the steady-state error of long-term strip shape fluctuations. The derivative term (Kd) captures the rate of change of the strip shape deviation. If the strip shape deteriorates rapidly, it fine-tunes the inlet and outlet water volume distribution in advance to suppress the trend. Finally, the control variable synchronously adjusts the uniformly distributed local flow rate at the inlet and the non-uniformly distributed flow rate gradient at the outlet to stabilize the strip shape within the target range.

[0059] In this embodiment of the invention, a feedforward-feedback composite control mechanism, combined with real-time monitoring data and a predictive model, enables dynamic updating of the cooling water volume ratio and distribution pattern. Feedforward control, based on rapid response to rolling speed and temperature parameters, provides initial correction for cooling water volume adjustment, improving the system's response speed. Feedback control, through a PID algorithm, precisely adjusts the cooling water volume to ensure the cooling effect meets target requirements. Simultaneously, the distribution pattern is optimized based on prediction results, further enhancing the precision of the cooling process. This effectively solves problems such as lag in cooling control, poor temperature uniformity, and large fluctuations in thermal crown in existing technologies, significantly improving the cooling control accuracy of the hot continuous rolling finishing section, optimizing product quality, reducing production costs, and enhancing the system's dynamic adaptability and stability.

[0060] Optionally, the step of fine-tuning the inlet cooling water flow rate and the outlet cooling water flow rate based on the prediction result includes: Based on the predicted results corresponding to the thermal crown of the roll and the temperature field of the strip, the deviations from the target thermal crown and the target temperature field are calculated to obtain the thermal crown deviation and the temperature field deviation. Based on the thermal convexity deviation and the temperature field deviation, determine the inlet cooling water deviation and the outlet cooling water deviation. Based on the inlet cooling water deviation and the outlet cooling water deviation, and combined with the preset fine-tuning critical ranges corresponding to the inlet cooling water and the outlet cooling water respectively, the inlet cooling water volume and the outlet cooling water volume are finely adjusted.

[0061] Specifically, firstly, using a pre-set roll system model and strip metal model, combined with real-time acquired rolling process parameters, prediction results for roll thermal crown and strip temperature field are generated. Mathematical modeling and numerical simulation techniques are employed to reflect the real-time thermal changes of the rolls and strip during rolling. Subsequently, the prediction results are compared with preset target thermal crown and target temperature field to calculate the deviations, obtaining thermal crown deviations and temperature field deviations. This deviation quantification provides a precise basis for subsequent cooling water volume adjustments. Based on the deviation values, the inlet and outlet cooling water deviations are further determined, and the cooling water volume is fine-tuned according to a preset fine-tuning critical range. Updating the proportional relationship and distribution pattern ensures that the cooling system can quickly respond to significant changes in operating conditions (such as rolling speed and strip specification switching), avoiding systemic problems of insufficient or excessive cooling; fine-tuning compensates for deviations that still exist after the update, eliminating steady-state errors and ensuring that indicators such as strip temperature and roll thermal crown ultimately meet processing requirements.

[0062] This process employs closed-loop control technology. By setting a fine-tuning critical range, it ensures that the cooling water volume adjustment is within a reasonable range, avoiding system instability caused by excessive adjustment. The entire process not only considers real-time monitoring data but also incorporates predictive models. Through deviation calculation and fine-tuning mechanisms, it achieves dynamic optimization of the cooling water volume, effectively solving the problem of insufficient cooling control precision in existing technologies and significantly improving the cooling control precision and product quality of the hot continuous rolling finishing section.

[0063] In this embodiment of the invention, dynamic optimization and adjustment of cooling water volume are achieved through deviation calculation and fine-tuning mechanisms based on prediction results. This not only improves the accuracy of cooling control but also enhances the stability and adaptability of the system. By introducing a preset fine-tuning critical range, the adjustment of cooling water volume is ensured to be within a reasonable range, avoiding system oscillations caused by over-adjustment. Simultaneously, by combining real-time monitoring data and prediction models, the system can quickly respond to dynamic changes during the rolling process, significantly improving the cooling control accuracy and product quality of the hot strip finishing section, reducing production costs, and enhancing the dynamic adaptability and stability of the system.

[0064] Combination Figure 5 As shown, another embodiment of the hot strip mill finishing section cooling system provided by the present invention includes: The ratio determination unit is used to determine the ratio between the inlet cooling water volume and the outlet cooling water volume based on the product outline and rolling specifications of the strip steel rolled in the hot strip finishing section. The distribution pattern determination unit is used to determine the distribution patterns of the inlet cooling water and the outlet cooling water based on the heat load distribution of each section of the roll in the hot continuous rolling finishing section and the width parameters of the rolled strip. The data acquisition unit is used to acquire the rolling process parameters of the hot strip finishing section when the hot strip finishing section is cooled according to the proportional relationship and the distribution pattern. The control unit is used to couple and control the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume according to the rolling process parameters, combined with the preset roll system model and strip metal model, and to fine-tune the inlet cooling water volume and the outlet cooling water volume until the temperature of the hot continuous rolling finishing section meets the processing requirements.

[0065] The advantages of the hot strip mill finishing section cooling system of the present invention compared with the prior art are the same as those of the above-mentioned hot strip mill finishing section cooling method compared with the prior art, and will not be repeated here.

[0066] Another embodiment of the present invention provides an electronic device comprising: a processor and a memory, wherein the memory is used to store a computer program; When the computer program is loaded by the processor, it causes the processor to execute the hot strip finishing section cooling method as described above.

[0067] The electronic device of the present invention has the same advantages over the prior art as the aforementioned hot continuous rolling mill finishing section cooling method, and will not be repeated here.

[0068] Another embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the hot strip finishing section cooling method as described above.

[0069] The computer-readable storage medium of the present invention has the same advantages over the prior art as the aforementioned hot strip mill finishing section cooling method over the prior art, and will not be repeated here.

[0070] While the present invention has been disclosed above, its scope of protection is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and all such changes and modifications will fall within the scope of protection of the present invention.

Claims

1. A cooling method for a hot continuous rolling mill finishing section, characterized in that, include: Based on the product outline and rolling schedule of the strip steel rolled in the hot strip mill finishing section, the proportional relationship between the inlet cooling water volume and the outlet cooling water volume is determined. Specifically, this includes: extracting the steel type and target thickness of the strip steel from the product outline; extracting the rolling force range, rolling speed curve, and target temperature drop range of the finishing mill unit in the hot strip mill finishing section from the rolling schedule; determining the total cooling water volume required for the hot strip mill finishing section based on the thermal conductivity coefficient corresponding to the steel type and the heat dissipation requirements corresponding to the target thickness, combined with the target temperature drop range; determining the basic heat load requirements for each area of ​​the rolls based on the rolling force range, and determining the functional positioning of the inlet cooling water and the outlet cooling water based on the basic heat load requirements and the heat accumulation rate corresponding to the rolling speed curve; and determining the proportional relationship based on the functional positioning and the total cooling water volume. Based on the heat load distribution of each section of the rolls in the hot continuous rolling finishing section and the width parameter of the rolled strip, the distribution patterns of the inlet cooling water and outlet cooling water are determined. Specifically, this includes: quantitatively analyzing the heat load distribution of each section of the rolls, dividing the rolls of the hot continuous rolling finishing section into multiple regions in the axial direction; determining a preset number of independent cooling zones according to the regions, based on the width parameter; and determining the distribution patterns of the inlet cooling water and outlet cooling water according to the independent cooling zones. When the hot strip mill finishing section is cooled according to the stated ratio and distribution pattern, the rolling process parameters of the hot strip mill finishing section are obtained, specifically including: when the hot strip mill finishing section is cooled according to the stated ratio and distribution pattern, the rolling speed and temperature parameters of each stand in the finishing mill, as well as the temperature parameters, position parameters, and geometric parameters of the rolled strip, are obtained in real time; the rolling speed and temperature parameters of the stands, as well as the temperature parameters, position parameters, and geometric parameters of the rolled strip, are used as the rolling process parameters of the hot strip mill finishing section; Based on the rolling process parameters, and combined with a preset roll system model and strip metal model, the proportional relationship and distribution pattern of the inlet cooling water volume and the outlet cooling water volume are coupled and controlled. Simultaneously, the inlet cooling water volume and the outlet cooling water volume are fine-tuned until the temperature of the hot strip finishing section meets the processing requirements. Specifically, this includes: generating predicted results corresponding to the roll thermal crown and strip temperature field in the hot strip finishing section using the preset roll system model and strip metal model; updating the proportional relationship and distribution pattern of the inlet cooling water volume and the outlet cooling water volume respectively through a feedforward-feedback composite control mechanism based on the rolling process parameters and the predicted results; and updating the proportional relationship and distribution pattern of the inlet cooling water volume and the outlet cooling water volume respectively based on the predicted results. Based on the updated system and distribution pattern, the inlet cooling water volume and the outlet cooling water volume are fine-tuned until the hot continuous rolling finishing section meets the processing requirements; according to the rolling process parameters and combined with the prediction results, the proportional relationship and distribution pattern of the inlet cooling water volume and the outlet cooling water volume are updated through a feedforward-feedback composite control mechanism, including: determining a first cooling demand based on the rolling speed and temperature parameters of the stand; determining a first inlet water volume correction value based on the first cooling demand, and updating the inlet cooling water volume based on the first inlet water volume correction value; and updating the inlet cooling water volume based on preset target values ​​corresponding to strip temperature, strip crown, and strip shape. Based on the temperature and geometric parameters of the rolled strip, a second cooling demand is determined. Using a PID control algorithm, a second inlet water flow correction value and an outlet water flow correction value are determined based on the second cooling demand. Then, based on these correction values, the inlet and outlet cooling water flows are updated to update the proportional relationship. Based on the rolling speed and temperature parameters of the mill stand, and combined with the predicted results of the roll thermal crown and the strip temperature field, deviation calculations are performed to obtain the transverse temperature difference and crown deviation. Based on the transverse temperature difference and crown deviation, the distribution pattern is updated. Based on the roll thermal crown and the... The predicted results corresponding to the strip temperature field are respectively compared with the target thermal crown and the target temperature field to calculate the deviation, resulting in thermal crown deviation and temperature field deviation. Based on the thermal crown deviation and the temperature field deviation, the inlet cooling water deviation and the outlet cooling water deviation are determined. Based on the inlet cooling water deviation and the outlet cooling water deviation, and combined with the preset fine-tuning critical ranges corresponding to the inlet cooling water and the outlet cooling water respectively, the inlet cooling water volume and the outlet cooling water volume are fine-tuned. The processing requirements include: the deviation between the real-time temperature of the strip in the strip temperature field and the preset strip temperature target value is less than the preset temperature deviation threshold, and the thermal crown of the roll is within the preset thermal crown standard range.

2. A cooling system for a hot strip mill finishing section for implementing the cooling method for the hot strip mill finishing section as described in claim 1, characterized in that, include: The ratio determination unit is used to determine the ratio between the inlet cooling water volume and the outlet cooling water volume based on the product outline and rolling specifications of the strip steel rolled in the hot strip finishing section. The distribution pattern determination unit is used to determine the distribution patterns of the inlet cooling water and the outlet cooling water based on the heat load distribution of each section of the roll in the hot continuous rolling finishing section and the width parameters of the rolled strip. The data acquisition unit is used to acquire the rolling process parameters of the hot strip finishing section when the hot strip finishing section is cooled according to the proportional relationship and the distribution pattern. The control unit is used to couple and control the ratio and distribution pattern of the inlet cooling water volume and the outlet cooling water volume according to the rolling process parameters, combined with the preset roll system model and strip metal model, and to fine-tune the inlet cooling water volume and the outlet cooling water volume until the temperature of the hot continuous rolling finishing section meets the processing requirements.

3. An electronic device, characterized in that, include: Processor and memory, the memory being used to store computer programs; When the computer program is loaded by the processor, it causes the processor to execute the hot strip finishing section cooling method as described in claim 1.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the hot strip finishing section cooling method as described in claim 1.

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