Method and device for cooling hot rolled strip, electronic device and storage medium

Abstract

The application discloses a cooling method and device of hot-rolled strip steel, electronic equipment and storage medium, and relates to the technical field of hot-rolled strip steel cooling. The technical scheme of the application obtains a temperature data set of the hot-rolled strip steel, divides cooling sections along the length direction of the hot-rolled strip steel according to the temperature distribution represented by the temperature data set, so as to obtain a plurality of strip steel cooling sections; determines the cooling state of each strip steel cooling section when the hot-rolled strip steel executes a current cooling task, and the cooling state includes a first state in which the evaporation of the cooling water covering the hot-rolled strip steel does not occur and a second state in which the evaporation occurs; implements a corresponding strip steel cooling strategy according to the cooling state of each strip steel cooling section, so that the strip steel temperature of each strip steel cooling section reaches a target temperature required by a corresponding rolling process. The technical scheme refines the overall control into segmented control, enhances the flexibility and efficiency of local management, and further makes the cooling of the hot-rolled strip steel more uniform, while achieving the purpose of water saving.

Description

Technical Field

[0001] This invention relates to the technical field of cooling hot-rolled strip steel, and more particularly to a cooling method, apparatus, electronic device, and storage medium for hot-rolled strip steel. Background Technology

[0002] Cooling hot-rolled strip steel is a crucial step in steel production, directly impacting the final properties and quality of the steel. Traditional cooling methods for hot-rolled strip steel often employ fixed-mode water spraying, which, while simple, suffers from significant water waste and uneven cooling. With the advent of Industry 4.0 and the rapid development of intelligent manufacturing technologies, the steel industry urgently needs to introduce more efficient and precise cooling technologies to optimize production processes and improve product quality. Summary of the Invention

[0003] In view of the above-mentioned technical problems, the present invention provides a cooling method, apparatus, electronic equipment and storage medium for hot-rolled strip steel, which can make the cooling of hot-rolled strip steel more uniform and achieve the purpose of water saving.

[0004] The embodiments of the present invention provide the following solutions:

[0005] In a first aspect, embodiments of the present invention provide a cooling method for hot-rolled strip steel, the method comprising:

[0006] Acquire a set of temperature data for hot-rolled strip steel, wherein the set of temperature data consists of a set of surface temperature measurements along the length of the hot-rolled strip steel during historical cooling tasks.

[0007] The cooling sections are divided along the length of the hot-rolled strip based on the temperature data set to obtain multiple strip cooling sections.

[0008] When hot-rolled strip steel is performing the current cooling task, the cooling state of each strip steel cooling section is determined, wherein the cooling state includes a first state in which the cooling water covers the hot-rolled strip steel and does not evaporate, and a second state in which evaporation occurs;

[0009] Implement corresponding strip cooling strategies based on the cooling status of each strip cooling section to ensure that the strip temperature in each strip cooling section reaches the target temperature required by the corresponding rolling process.

[0010] In one optional embodiment, the cooling sections are divided along the length of the hot-rolled strip based on a temperature data set to obtain multiple strip cooling sections, including:

[0011] The temperature gradient of hot-rolled strip at all adjacent temperature measurement points along its length is obtained from the temperature data set.

[0012] The cooling sections are divided based on the temperature change characteristics of the temperature gradients of all adjacent temperature measurement points to obtain multiple strip cooling sections.

[0013] In one optional embodiment, the cooling sections are divided based on the temperature change characteristics exhibited by the temperature gradients of all adjacent temperature measurement points to obtain multiple strip cooling sections, including:

[0014] Determine whether the temperature gradient of each adjacent temperature measurement point is greater than the corresponding target threshold, where the target threshold is the maximum change value set based on the temperature cooling process requirements of hot-rolled strip steel;

[0015] When the temperature gradient is greater than the corresponding target threshold, the location of the adjacent temperature measurement point is determined as the strip cooling section.

[0016] In one optional embodiment, determining the cooling state of each strip cooling section includes:

[0017] The cooling water temperature of each strip cooling section is input into a preset data processing model to obtain the first critical temperature of the first state and the second critical temperature of the second state.

[0018] When the surface temperature of the strip in the current strip cooling section is greater than or equal to the first critical temperature, the hot-rolled strip in the current strip cooling section is determined to be in the first state.

[0019] When the surface temperature of the strip in the current strip cooling section is greater than or equal to the second critical temperature and less than the first critical temperature, the hot-rolled strip in the current strip cooling section is determined to be in the second state.

[0020] In one optional embodiment, the cooling water temperature of each strip cooling section is input into a preset data processing model to obtain a first critical temperature of a first state and a second critical temperature of a second state, including:

[0021] According to the formula The first critical temperature T1 is obtained, where T w Where q is the temperature of the cooling water, h1 is the surface heat flux density of the hot-rolled strip, and h1 is the first heat transfer coefficient at which the cooling water covers the hot-rolled strip to prevent evaporation.

[0022] According to the formula The second critical temperature T2 is obtained, where h2 is the second heat transfer coefficient for the evaporation of the hot-rolled strip covered by cooling water.

[0023] In one optional embodiment, a corresponding strip cooling strategy is implemented based on the cooling state of each strip cooling section to ensure that the strip temperature in each strip cooling section reaches the target temperature required by the corresponding rolling process, including:

[0024] The temperature data of each strip cooling section in the corresponding cooling state is input into the cooling prediction model. The temperature data includes the surface temperature of the hot-rolled strip in the corresponding strip cooling section.

[0025] The cooling rate of each strip cooling section is determined based on the output of the cooling prediction model;

[0026] Based on the cooling rate of each strip cooling section, the water spray valve of the corresponding strip cooling section is controlled to open to the target opening degree, where the target opening degree is the opening degree corresponding to the strip temperature reaching the target temperature.

[0027] In an optional embodiment, before inputting the temperature data of each strip cooling section in the corresponding cooling state into a preset cooling prediction model, the method further includes:

[0028] Obtain the cooling process curve of hot-rolled strip steel in each strip cooling section, where the cooling process curve is the curve of the target temperature of hot-rolled strip steel changing with time during the cooling process;

[0029] Based on the cooling data and temperature data represented by the cooling process curve, the preset initial prediction model is trained and tested.

[0030] When the initial prediction model accurately predicts the cooling rate of the corresponding strip cooling section, the initial prediction model that has completed training is determined as the cooling prediction model.

[0031] Secondly, embodiments of the present invention also provide a cooling device for hot-rolled strip steel, the device comprising:

[0032] The acquisition module is used to acquire a set of temperature data for hot-rolled strip steel, wherein the set of temperature data is a set of surface temperature measurements along the length of hot-rolled strip steel when historical cooling tasks are performed;

[0033] The module is used to divide the cooling section along the length of the hot-rolled strip based on the temperature data set, so as to obtain multiple strip cooling sections.

[0034] The determination module is used to determine the cooling state of each strip cooling section when the hot-rolled strip is performing the current cooling task, wherein the cooling state includes a first state in which the cooling water covers the hot-rolled strip and does not evaporate, and a second state in which evaporation occurs;

[0035] The control module is used to implement the corresponding strip cooling strategy according to the cooling status of each strip cooling section, so that the strip temperature of each strip cooling section reaches the target temperature required by the corresponding rolling process.

[0036] Thirdly, embodiments of the present invention also provide an electronic device, including a processor and a memory, the memory being coupled to the processor, the memory storing instructions that, when executed by the processor, cause the electronic device to perform the steps of any of the methods in the first aspect.

[0037] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods in the first aspect.

[0038] The cooling method, apparatus, electronic equipment, and storage medium for hot-rolled strip steel of the present invention have the following advantages compared with the prior art:

[0039] The technical solution of this invention acquires a temperature data set of hot-rolled strip steel. Since this temperature data set comprises surface temperature measurements along the length of the hot-rolled strip steel during historical cooling tasks, the strip steel can be divided into multiple cooling sections based on the temperature distribution represented by the data set. When the hot-rolled strip steel performs its current cooling task, the cooling state of each cooling section is determined. These states include a first state where cooling water covers the strip steel without evaporation and a second state where evaporation occurs. A corresponding cooling strategy is implemented based on the cooling state of each cooling section to ensure that the strip steel temperature in each cooling section reaches the target temperature required by the corresponding rolling process. This technical solution, based on the temperature distribution characteristics of the hot-rolled strip steel along its length, divides it into multiple cooling sections. Corresponding cooling strategies can be implemented for different cooling states in different sections, refining overall control into segmented control. This enhances the flexibility and efficiency of local management, resulting in more uniform cooling of the hot-rolled strip steel and achieving water conservation. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 A flowchart illustrating a cooling method for hot-rolled strip steel provided in an embodiment of the present invention;

[0042] Figure 2 This is a schematic diagram of a cooling device for hot-rolled strip steel provided in an embodiment of the present invention. Detailed Implementation

[0043] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the protection scope of the embodiments of the present invention.

[0044] Please see Figure 1 , Figure 1 This is a flowchart illustrating a cooling method for hot-rolled strip steel according to an embodiment of the present invention. This cooling method can be applied to the operation of a cooling control terminal in a hot-rolled strip steel production line. The cooling control terminal can be a computer device or a PLC (Programmable Logic Controller), as long as it can run the control method; no specific limitations are imposed here. The control method includes:

[0045] S11. Obtain the temperature data set of hot-rolled strip steel, wherein the temperature data set is a data set composed of the surface temperature measured along the length direction of the hot-rolled strip steel when the historical cooling task was performed.

[0046] Specifically, when performing historical cooling tasks on hot-rolled strip steel, multiple temperature sensors installed on the production line can be used to measure the temperature of the hot-rolled strip steel. These sensors are spaced apart along the length of the hot-rolled strip steel. By measuring the surface temperature of the hot-rolled strip steel using these sensors, the corresponding surface temperature can be obtained. The set of all surface temperature measurements is then defined as the temperature data set. In essence, on the hot-rolled strip steel production line, multiple temperature sensors can be evenly spaced along the length of the hot-rolled strip steel, or selectively deployed as needed. The locations of these sensors should cover the main temperature variation areas of the strip steel so that the data in the temperature data set can characterize the temperature variation features of the hot-rolled strip steel.

[0047] To ensure the accuracy of the temperature data set, data cleaning can be performed. For example, a temperature acquisition range can be set for each temperature sensor. If the surface temperature measured by the sensor falls within this range, the temperature acquisition is accurate. Otherwise, it indicates that interference factors may be affecting the accuracy of the data. In this case, erroneous temperature data will be deleted, and data will be reacquired until an accurate temperature data set is obtained. After obtaining the temperature data set of hot-rolled strip steel, proceed to step S12.

[0048] S12. Divide the cooling sections along the length of the hot-rolled strip according to the temperature data set to obtain multiple strip cooling sections.

[0049] Specifically, each data point in the temperature dataset represents the surface temperature at a corresponding location along the length of the hot-rolled strip. These data points can be arranged sequentially based on the length-direction distribution of the hot-rolled strip, and cluster analysis can be used to obtain multiple strip temperature ranges. Based on these multiple strip temperature ranges, the upper and lower surfaces of the hot-rolled strip can also be divided into multiple strip cooling sections along their length. Each strip cooling section corresponds to a strip temperature range, and the two are mapped together. Through these steps, the strip can be divided into multiple strip cooling sections with different temperature characteristics based on the changes in the strip surface temperature data.

[0050] For example, step S12 includes sub-steps S12-1 to S12-2, which are described in detail below:

[0051] S12-1. Obtain the temperature gradient of the hot-rolled strip at all adjacent temperature measurement points along its length based on the temperature data set. The temperature gradient characterizes the rate of change of the hot-rolled strip between adjacent temperature measurement points, and can be expressed by the formula... Calculate the temperature gradient ΔT between adjacent temperature measurement points. (x) T (x) T represents the measured temperature of the hot-rolled strip at position x. (x-1) The temperature of the hot-rolled strip at position x-1 is the measured temperature. The difference between x and x-1 represents the temperature difference between adjacent temperature measurement points. x is the current temperature measurement point, and x-1 is the adjacent temperature measurement point. The difference between x and x-1 represents the distance between adjacent temperature measurement points. When multiple temperature sensors are set at equal intervals, each temperature gradient represents the temperature change between adjacent temperature measurement points.

[0052] S12-2. Based on the temperature change characteristics exhibited by the temperature gradients of all adjacent temperature measurement points, the cooling sections are divided to obtain multiple strip cooling sections. Since hot-rolled strip exhibits different gradient change characteristics along its length, the patterns and characteristics of temperature change can be identified, and the rate of temperature change can be determined. When the temperature gradients between adjacent temperature measurement points are significantly different, this usually means that the strip is undergoing cooling stages of varying magnitudes. By identifying these gradient change points, the entire cooling process can be divided into multiple strip cooling sections, each with specific cooling characteristics.

[0053] It is understandable that while a temperature gradient can exhibit certain temperature change characteristics, there is uncertainty as to whether the strip cooling sections divided based on these characteristics match the cooling process of hot-rolled strip. This could lead to the divided strip cooling sections being unsuitable for the cooling process. Step S12-2 includes the following steps:

[0054] The first step is to determine whether the temperature gradient at each adjacent temperature measuring point is greater than the corresponding target threshold. The target threshold is the maximum change value set based on the temperature cooling process requirements of the hot-rolled strip. The target threshold can be determined based on the temperature cooling process requirements of the hot-rolled strip, with corresponding target thresholds configured for all temperature measuring points. For example, if 10 temperature sensors are set along the length of the hot-rolled strip, and based on the data acquired by each sensor, there are 9 temperature gradients, then a corresponding target threshold can be configured for each temperature gradient based on the temperature cooling process requirements of the hot-rolled strip, such as setting a target threshold based on the cooling gradient required by the temperature cooling process.

[0055] The second step involves identifying the location of the adjacent temperature measurement point as the strip cooling section when the temperature gradient exceeds the target threshold. This indicates a significant temperature change in the hot-rolled strip between these adjacent measurement points, necessitating precise cooling control. By traversing all cooling zones of the hot-rolled strip during production using this method, multiple strip cooling sections can be obtained. When the temperature gradient is less than or equal to the target threshold, normal cooling is applied to the hot-rolled strip in that area.

[0056] At this point, the division of cooling sections along the length of the hot-rolled strip has been completed, and multiple strip cooling sections have been obtained.

[0057] S13. When performing the current cooling task on the hot-rolled strip, determine the cooling state of each strip cooling section, wherein the cooling state includes a first state in which the cooling water covers the hot-rolled strip and does not evaporate, and a second state in which evaporation occurs.

[0058] Specifically, the current cooling task is for the production line to perform the current task of cooling the hot-rolled strip. The cooling state of each strip cooling section can be determined based on the cooling water temperature and / or the surface temperature of the hot-rolled strip. For example, if the cooling water temperature of a certain strip cooling section is much higher than the normal value, it indicates that the cooling water temperature of this section is too high and may not be able to meet the cooling needs of the hot-rolled strip in this section. In this case, the strip cooling section is determined to be in the second state, where the cooling water covers the hot-rolled strip and causes evaporation. Conversely, if the cooling water temperature is within the normal range, it indicates that the cooling water may cover the hot-rolled strip, and the cooling state of this section is determined to be in the first state.

[0059] For example, step S13 includes sub-steps S13-1 to S13-3, which are described in detail below:

[0060] S13-1. Input the cooling water temperature of each strip cooling section into a preset data processing model to obtain the first critical temperature of the first state and the second critical temperature of the second state. The cooling water temperature can be acquired based on the temperature sensor installed in each strip cooling section, and the first and second critical temperatures can be determined through calibration experiments on the cooling water temperature.

[0061] Data processing models can be set based on formulas, for example, according to formulas. The first critical temperature T1 is obtained, where T w Let be the cooling water temperature, q be the surface heat flux density of the hot-rolled strip, and h1 be the first heat transfer coefficient that prevents evaporation of the hot-rolled strip under cooling water coverage. According to the formula... The second critical temperature T2 is obtained, where h2 is the second heat transfer coefficient for the evaporation of the hot-rolled strip covered by cooling water.

[0062] S13-2. When the surface temperature of the strip in the current strip cooling section is greater than or equal to the first critical temperature, it indicates that the water film formed by the cooling water in the current strip cooling section can completely cover the hot-rolled strip in the current strip cooling section. The water film forms a stable covering layer on the surface of the hot-rolled strip. The water film is in a complete covering state. The evaporation rate of the water film is relatively low, and the cooling effect deteriorates. It is determined that the hot-rolled strip in the current strip cooling section is in the first state.

[0063] S13-3. When the surface temperature of the strip in the current strip cooling section is greater than or equal to the second critical temperature and less than the first critical temperature, it indicates that the water film formed by the cooling water cannot completely cover the hot-rolled strip in the current strip cooling section. The water film is in a state of partial evaporation or rupture, that is, the partial water film stage. In other words, the water film cannot completely cover the surface of the strip, but forms discontinuous patches or stripes. The heat exchange rate is relatively improved compared to the complete water film. It is determined that the hot-rolled strip in the current strip cooling section is in the second state.

[0064] Of course, the surface temperature of the strip in the current strip cooling section may also be lower than the second critical temperature. At this time, the water film has been completely evaporated or has never been formed. That is, the surface of the hot-rolled strip is in a state without water film. In other words, the surface of the hot-rolled strip may be directly exposed to the air or have only a small amount of residual moisture. The heat exchange efficiency is the highest and the cooling speed is the fastest under this state.

[0065] At this point, the cooling status of each strip cooling section has been determined, and we proceed to step S14.

[0066] S14. Implement the corresponding strip cooling strategy according to the cooling state of each strip cooling section, so that the strip temperature of each strip cooling section reaches the target temperature required by the corresponding rolling process.

[0067] Specifically, different cooling states reflect the heat exchange efficiency between the cooling water and the hot-rolled strip. When the water film completely covers the cooling section of the hot-rolled strip, it indicates low heat exchange efficiency, requiring the highest level of enhanced cooling for this section. This can be achieved by pumping more cooling water or using lower-temperature cooling water to cool the hot-rolled strip. When the water film does not completely cover the cooling section, it indicates moderate heat exchange efficiency, requiring appropriate enhancement of cooling for this section. This can be achieved by pumping more cooling water to improve heat exchange between the cooling water and the hot-rolled strip. When the surface of the hot-rolled strip is free of a water film, normal cooling control is implemented for this section. The goal of the above strip cooling strategy is to ensure that the strip temperature in each cooling section reaches the target temperature required by the corresponding rolling process, improve the uniformity of hot-rolled strip cooling, and simultaneously achieve water conservation.

[0068] For example, step S14 includes sub-steps S14-1 to S14-3, which are described in detail below:

[0069] S14-1. Input the temperature data of each strip cooling section under the corresponding cooling state into the cooling prediction model. The temperature data includes the surface temperature of the hot-rolled strip in the corresponding cooling section. The cooling prediction model can be constructed based on the actual needs of data processing, and it only needs to be able to accurately predict the cooling rate of each strip cooling section.

[0070] It is understandable that the cooling prediction model can be obtained through training. The cooling prediction model can be configured as a convolutional neural network model, or other data processing models capable of predicting cooling rates. The specific methods for training the model are as follows:

[0071] The first step is to obtain the cooling process curves for each cooling section of the hot-rolled strip. These curves depict the target temperature changing over time during the cooling process. They are typically pre-set based on process requirements and material properties, describing the target path of temperature reduction over time, i.e., the curve curvature. The target temperature is the temperature of the hot-rolled strip after cooling, determined based on production process requirements. To ensure that the cooling of the hot-rolled strip meets production process requirements, corresponding cooling process curves are provided for different cooling sections.

[0072] The second step involves training and testing the pre-set initial prediction model based on the cooling and temperature data represented by the cooling process curve. Training and testing sets can be obtained based on the cooling and temperature data. After training the initial prediction model, it can then be tested using the testing set.

[0073] The third step is to determine the initial prediction model as the cooling prediction model when it accurately predicts the cooling rate of the corresponding strip cooling section. This indicates that the initial prediction model is capable of accurately predicting the cooling rate, and the initial prediction model that has completed training is then identified as the cooling prediction model.

[0074] S14-2. Determine the cooling rate of each strip cooling section based on the output of the cooling prediction model. The cooling rate characterizes the required cooling speed for that strip cooling section. For each strip cooling section, select real-time temperature data and find the corresponding target temperature at that time point in the cooling process curve. Input the real-time temperature data and target temperature into the cooling prediction model. The cooling prediction model calculates the cooling rate required to reach the target temperature under the current conditions based on the input data. Repeat the above steps for each subsequent time point and corresponding strip cooling section until all strip cooling sections have been traversed. Collect the cooling rate corresponding to each strip cooling section to form a set of cooling rate data.

[0075] S14-3. Based on the cooling rate of each strip cooling section, control the opening of the corresponding water spray valve to the target opening degree, where the target opening degree is the opening degree corresponding to the strip temperature reaching the target temperature. Based on the determined water film state of each strip cooling section, analyze the impact of different cooling rates on the cooling effect. The complete water film state has the worst heat exchange efficiency and can use a high cooling rate; similarly, a partial water film state uses a medium cooling rate; and a state without a water film uses a low cooling rate. Based on the analysis of cooling rate data and water film state of multiple strip cooling sections, and by comprehensively adjusting the cooling parameters, a cooling scheme that meets the cooling requirements and considers water film stability can be constructed. Through this process, real-time temperature data, cooling process curves, and water film state can be effectively combined to construct and optimize the cooling prediction model, thereby formulating a reasonable cooling strategy. As shown in Table 1, Table 1 shows the cooling rates of different strip cooling sections.

[0076] Table 1:

[0077]

[0078] Table 1 illustrates the cooling rates corresponding to each time point, strip temperature range, target temperature, and real-time temperature data. Each time point represents the corresponding time point when the strip passes through the strip cooling section.

[0079] It should be noted that when implementing corresponding cooling for different strip cooling sections, multiple sets of water spray valves can be installed along the length of the strip on both the upper and lower surfaces. These valves are controlled based on the cooling scheme, with each set including an upper and lower spray valve. It is crucial to ensure that each set of spray valves (including the upper and lower spray valves) is evenly distributed along the strip length to achieve a uniform cooling effect across the entire length of the hot-rolled strip. Based on the pre-matched cooling scheme for multiple strip cooling sections, the control parameters for the upper and lower spray valves, such as target cooling rate, spray time, and spray intensity, are precisely set to ensure a uniform cooling effect across the entire strip length. Effectively controlling multiple sets of spray valves to cool the strip based on the cooling scheme achieves intelligent strip cooling. By precisely controlling various parameters of the cooling process, cooling efficiency is effectively improved, cooling water waste is reduced, and the uniformity and stability of the hot-rolled strip cooling effect are guaranteed.

[0080] Based on the well-matched cooling scheme, the control parameters of the upper and lower water spray valves are precisely set to achieve a uniform cooling effect, as shown in Table 2:

[0081] Table 2

[0082]

[0083] Based on the same technical concept as the cooling method, embodiments of the present invention also provide a cooling device for hot-rolled strip steel. Please refer to [link to relevant documentation]. Figure 2 , Figure 2 This is a schematic diagram of the cooling device. The cooling device includes:

[0084] The acquisition module 201 is used to acquire a temperature data set of hot-rolled strip steel, wherein the temperature data set is a data set consisting of surface temperature measurements along the length of the hot-rolled strip steel when the hot-rolled strip steel performs historical cooling tasks;

[0085] Module 202 is used to divide the cooling section along the length of the hot-rolled strip according to the temperature data set, so as to obtain multiple strip cooling sections.

[0086] The determination module 203 is used to determine the cooling state of each strip cooling section when the hot-rolled strip is performing the current cooling task, wherein the cooling state includes a first state in which the cooling water covers the hot-rolled strip and does not evaporate, and a second state in which evaporation occurs;

[0087] The control module 204 is used to implement the corresponding strip cooling strategy according to the cooling state of each strip cooling section, so that the strip temperature of each strip cooling section reaches the target temperature required by the corresponding rolling process.

[0088] In one alternative embodiment, the obtaining module includes:

[0089] The first acquisition submodule is used to obtain the temperature gradient of all adjacent temperature measurement points along the length of the hot-rolled strip based on the temperature data set.

[0090] The second submodule is used to divide the cooling sections according to the temperature change characteristics presented by the temperature gradient of all adjacent temperature measurement points, so as to obtain multiple strip cooling sections.

[0091] In one optional embodiment, the second obtaining submodule includes:

[0092] The judgment unit is used to determine whether the temperature gradient of each adjacent temperature measurement point is greater than the corresponding target threshold, wherein the target threshold is the maximum change value set based on the temperature cooling process requirements of hot-rolled strip steel;

[0093] The determination unit is used to determine the location of the adjacent temperature measurement point as the strip cooling section when the temperature gradient is greater than the corresponding target threshold.

[0094] In one alternative embodiment, the determining module includes:

[0095] The third submodule is used to input the cooling water temperature of each strip cooling section into a preset data processing model to obtain the first critical temperature of the first state and the second critical temperature of the second state.

[0096] The first determining submodule is used to determine that the hot-rolled strip in the current strip cooling section is in a first state when the surface temperature of the strip in the current strip cooling section is greater than or equal to the first critical temperature.

[0097] The second determining submodule is used to determine that the hot-rolled strip in the current strip cooling section is in the second state when the surface temperature of the strip in the current strip cooling section is greater than or equal to the second critical temperature and less than the first critical temperature.

[0098] In one optional embodiment, the third obtaining submodule includes:

[0099] The first obtaining unit is used according to the formula. The first critical temperature T1 is obtained, where T w Where q is the temperature of the cooling water, h1 is the surface heat flux density of the hot-rolled strip, and h1 is the first heat transfer coefficient at which the cooling water covers the hot-rolled strip to prevent evaporation.

[0100] The second obtaining unit is used to obtain according to the formula. The second critical temperature T2 is obtained, where h2 is the second heat transfer coefficient for the evaporation of the hot-rolled strip covered by cooling water.

[0101] In one optional embodiment, the control module includes:

[0102] The input submodule is used to input the temperature data of each strip cooling section in the corresponding cooling state into the cooling prediction model. The temperature data includes the surface temperature of the hot-rolled strip in the corresponding strip cooling section.

[0103] The third determination submodule is used to determine the cooling rate of each strip cooling section based on the output of the cooling prediction model;

[0104] The control submodule is used to control the water spray valve of the corresponding strip cooling section to open to the target opening degree according to the cooling rate of each strip cooling section. The target opening degree is the opening degree corresponding to the strip temperature reaching the target temperature.

[0105] In an optional embodiment, the control module further includes:

[0106] The acquisition submodule is used to acquire the cooling process curve of hot-rolled strip steel in each strip cooling section. The cooling process curve is the curve of the target temperature of hot-rolled strip steel changing with time during the cooling process.

[0107] The training and testing submodule is used to train and test the preset initial prediction model based on the cooling data and temperature data represented by the cooling process curve.

[0108] The fourth determination submodule is used to determine the completed initial prediction model as the cooling prediction model when the initial prediction model accurately predicts the cooling rate of the corresponding strip cooling section.

[0109] Based on the same technical concept as the cooling method, embodiments of the present invention also provide an electronic device, including a processor and a memory, the memory being coupled to the processor, the memory storing instructions, which, when executed by the processor, cause the electronic device to perform the steps of any of the cooling methods.

[0110] Based on the same technical concept as the cooling method, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the cooling methods.

[0111] The technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0112] By acquiring a temperature data set of hot-rolled strip steel, which consists of surface temperature measurements along the length of the hot-rolled strip steel during historical cooling tasks, the strip steel can be divided into multiple cooling sections based on the temperature distribution represented by the data set. During the current cooling task, the cooling state of each cooling section is determined, including a first state where cooling water covers the strip steel without evaporation and a second state where evaporation occurs. A corresponding cooling strategy is implemented based on the cooling state of each cooling section to ensure that the strip steel temperature in each section reaches the target temperature required by the corresponding rolling process. This technical solution, based on the temperature distribution characteristics of hot-rolled strip steel along its length, divides the strip steel into multiple cooling sections. Corresponding cooling strategies can be implemented for different cooling states in different sections, refining overall control into segmented control, enhancing the flexibility and efficiency of local management, thereby making the cooling of hot-rolled strip steel more uniform and achieving water conservation.

[0113] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (modules, systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0115] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0116] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0117] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0118] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A cooling method for hot-rolled strip steel, characterized in that, The method includes: Acquire a set of temperature data for hot-rolled strip steel, wherein the set of temperature data is a set of surface temperature measurements along the length of the hot-rolled strip steel during historical cooling tasks; The cooling sections are divided along the length of the hot-rolled strip based on the temperature data set to obtain multiple strip cooling sections. When hot-rolled strip steel is performing the current cooling task, the cooling state of each strip steel cooling section is determined, wherein the cooling state includes a first state in which cooling water covers the hot-rolled strip steel without evaporation and a second state in which evaporation occurs; Implement corresponding strip cooling strategies based on the cooling state of each strip cooling section, so that the strip temperature of each strip cooling section reaches the target temperature required by the corresponding rolling process.

2. The cooling method for hot-rolled strip steel according to claim 1, characterized in that, The step of dividing the hot-rolled strip into cooling sections along its length based on the temperature data set to obtain multiple strip cooling sections includes: The temperature gradient of the hot-rolled strip at all adjacent temperature measurement points along its length is obtained based on the temperature data set. The cooling sections are divided based on the temperature change characteristics of the temperature gradients of all adjacent temperature measurement points to obtain multiple strip cooling sections.

3. The cooling method for hot-rolled strip steel according to claim 2, characterized in that, The cooling section is divided based on the temperature change characteristics presented by the temperature gradient of all adjacent temperature measuring points to obtain multiple strip cooling sections, including: Determine whether the temperature gradient of each adjacent temperature measurement point is greater than the corresponding target threshold, wherein the target threshold is the maximum change value set based on the temperature cooling process requirements of the hot-rolled strip steel; When the temperature gradient is greater than the corresponding target threshold, the location of the adjacent temperature measurement point is determined as the strip cooling section.

4. The cooling method for hot-rolled strip steel according to claim 1, characterized in that, Determining the cooling state of each strip cooling section includes: The cooling water temperature of each strip cooling section is input into a preset data processing model to obtain the first critical temperature of the first state and the second critical temperature of the second state. When the surface temperature of the strip in the current strip cooling section is greater than or equal to the first critical temperature, the hot-rolled strip in the current strip cooling section is determined to be in the first state. When the surface temperature of the strip in the current strip cooling section is greater than or equal to the second critical temperature and less than the first critical temperature, the hot-rolled strip in the current strip cooling section is determined to be in the second state.

5. The cooling method for hot-rolled strip steel according to claim 4, characterized in that, The step of inputting the cooling water temperature of each strip cooling section into a preset data processing model to obtain the first critical temperature of the first state and the second critical temperature of the second state includes: According to the formula The first critical temperature T1 is obtained, where T w The temperature of the cooling water is q, the surface heat flux density of the hot-rolled strip is h1, and the first heat transfer coefficient is the coefficient by which the cooling water covers the hot-rolled strip to prevent evaporation. According to the formula The second critical temperature T2 is obtained, where h2 is the second heat transfer coefficient for the evaporation of the hot-rolled strip covered by cooling water.

6. The cooling method for hot-rolled strip steel according to claim 1, characterized in that, The step of implementing a corresponding strip cooling strategy based on the cooling state of each strip cooling section to ensure that the strip temperature in each strip cooling section reaches the target temperature required by the corresponding rolling process includes: The temperature data of each strip cooling section in the corresponding cooling state is input into the cooling prediction model, wherein the temperature data includes the surface temperature of the hot-rolled strip in the corresponding strip cooling section; The cooling rate of each strip cooling section is determined based on the output of the cooling prediction model. Based on the cooling rate of each strip cooling section, the water spray valve of the corresponding strip cooling section is controlled to open to the target opening degree, wherein the target opening degree is the opening degree corresponding to the strip temperature reaching the target temperature.

7. The cooling method for hot-rolled strip steel according to claim 6, characterized in that, Before inputting the temperature data of each strip cooling section in its corresponding cooling state into a preset cooling prediction model, the method further includes: Obtain the cooling process curve of the hot-rolled strip in each strip cooling section, wherein the cooling process curve is the curve of the target temperature of the hot-rolled strip changing with time during the cooling process; Based on the cooling data represented by the cooling process curve and the temperature data, the preset initial prediction model is trained and tested. When the initial prediction model accurately predicts the cooling rate of the corresponding strip cooling section, the initial prediction model that has completed training is determined as the cooling prediction model.

8. A cooling device for hot-rolled strip steel, characterized in that, The device includes: The acquisition module is used to acquire a set of temperature data for hot-rolled strip steel, wherein the set of temperature data is a set of surface temperature measurements along the length of hot-rolled strip steel during historical cooling tasks. The module is used to divide the cooling section along the length of the hot-rolled strip according to the temperature data set, so as to obtain multiple strip cooling sections. The determination module is used to determine the cooling state of each strip cooling section when the hot-rolled strip is performing the current cooling task, wherein the cooling state includes a first state in which the cooling water covers the hot-rolled strip without evaporation and a second state in which evaporation occurs; The control module is used to implement a corresponding strip cooling strategy according to the cooling state of each strip cooling section, so that the strip temperature of each strip cooling section reaches the target temperature required by the corresponding rolling process.

9. An electronic device, characterized in that, The device includes a processor and a memory, the memory being coupled to the processor, the memory storing instructions that, when executed by the processor, cause the electronic device to perform the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method described in any one of claims 1-7.

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