Strip steel head end CT stability control method and system

Abstract

The invention provides a control method and system for CT stability of a strip steel head end, relates to the field of strip steel temperature control, and solves the technical problems of temperature control deviation and low strip steel yield caused by the fact that the temperature between a temperature sampling point and the strip steel head end is not considered in the prior art. The method comprises the following steps: acquiring process parameters of to-be-processed strip steel; wherein the process parameters comprise physical parameters and geometric parameters of the strip steel to be machined; obtaining a basic CT of the to-be-processed strip steel based on the process parameters, and obtaining a compensation CT of the head end of the to-be-processed strip steel; wherein the basic CT represents the CT which the to-be-processed strip steel needs to reach; the compensation CT represents temperature compensation required by the head end of the to-be-machined strip steel; based on the basic CT and the compensation CT, a target CT of the head end of the to-be-machined strip steel is obtained; and analyzing the cooling water flow required by the head end based on the target CT. The method is used in the strip steel head end temperature compensation process.

Description

Technical Field

[0001] This application relates to the field of strip temperature control, and in particular to a method and system for controlling the stability of the temperature CT at the head end of a strip. Background Technology

[0002] In the actual production process of strip steel, due to the large contact area between the head end and the air during the transport of slabs and intermediate billets on the roller table, and the phenomenon of vibration and temperature drop, the temperature of the strip head end will be lower than normal, which will affect the rolling parameters set based on the model. The temperature difference between the head end and the body will cause changes in the metal deformation resistance, resulting in fluctuations in rolling force, and ultimately causing the strip head thickness to exceed the tolerance range, reducing the strip yield. Summary of the Invention

[0003] This application provides a method and system for controlling the CT stability of the strip head end, which solves the technical problem that the prior art does not consider the temperature between the temperature sampling point and the strip head end, resulting in temperature control deviation and low strip yield.

[0004] To achieve the above objectives, this application adopts the following technical solution:

[0005] Firstly, a method for controlling the stability of a CT scanner with a steel tip is provided, including:

[0006] Obtain the process parameters of the strip steel to be processed; the process parameters include the physical parameters and geometric parameters of the strip steel to be processed;

[0007] The basic temperature coefficient (CT) of the strip to be processed is obtained based on process parameters, and the compensated CT of the head end of the strip to be processed is also obtained; the basic CT represents the CT that the strip to be processed needs to reach; the compensated CT represents the temperature compensation required at the head end of the strip to be processed; wherein, the head end is the region from the existing temperature sampling point to the end of the strip.

[0008] Based on basic CT and compensated CT, the target CT of the steel head end to be processed is obtained;

[0009] The required cooling water flow rate at the head end is based on the target CT analysis.

[0010] Based on the above technical solution, in the method for controlling the stability of the CT (Cut-to-Temperature) at the head end of a strip provided in this application, the basic CT is determined by acquiring the physical and geometric parameters of the strip to be processed. This fully considers the influence of the strip's own characteristics on the target temperature, making the basic CT more closely match the actual processing requirements of the strip. Simultaneously, a head-end compensation CT is specifically acquired to compensate for potential special conditions at the strip head end (such as uneven thickness, surface condition differences, etc.), resulting in a more accurate and reasonable target CT. The accurate target CT provides a reliable basis for subsequently determining the cooling water flow rate, helping to achieve precise control of the strip head-end cooling process, thereby ensuring the quality stability of the processed strip and reducing quality problems such as performance inconsistencies and deformation caused by improper temperature control.

[0011] In conjunction with the first aspect above, in one possible implementation, obtaining the basic CT of the strip to be processed based on process parameters includes:

[0012] The physical and geometric parameters of the strip to be processed are input into the CT evaluation model, and the basic CT of the strip to be processed is output; wherein, the CT evaluation model is constructed based on the DNN neural network model.

[0013] In conjunction with the first aspect above, in one possible implementation, the CT assessment model is constructed based on a DNN neural network model, including:

[0014] Obtain several process parameters for strip steel and corresponding basic CTs from historical data;

[0015] The process parameters of the strip steel and the basic CT are integrated into several sets of training data and test data; the training data is used to train the DNN neural network model; the test data is used to test the trained DNN neural network model, and the DNN neural network model is adjusted according to the test results; finally, a CT evaluation model with process parameters as input and basic CT as output is obtained.

[0016] In conjunction with the first aspect above, in one possible implementation, the compensation CT of the head end of the strip to be processed is obtained from a CT compensation table; the CT compensation table establishes a mapping relationship between different types of strip and compensation CT; different types of strip represent strips with different process parameters.

[0017] In conjunction with the first aspect above, in one possible implementation, the process of constructing the CT compensation table includes:

[0018] Extract the temperature values ​​lost during the production process of several different types of strip ends from historical data and mark them as CTs to be compensated.

[0019] Extract several CTs of the same type of strip steel to be compensated, and the mode of the several CTs to be compensated is the compensated CT of the same type of strip steel.

[0020] Based on different types of steel strips and compensated CT, a CT compensation table was constructed.

[0021] In conjunction with the first aspect above, in one possible implementation, if the process parameters of the strip to be processed are not in the CT compensation table, then similar strips are extracted from the CT compensation table.

[0022] If there is a similar strip, the compensation CT corresponding to the similar strip is the compensation CT of the strip to be processed; if there are multiple similar strips, the average of the compensation CTs corresponding to the multiple similar strips is the compensation CT of the strip to be processed.

[0023] In conjunction with the first aspect above, in one possible implementation, the extraction of similar strip steel includes:

[0024] The strip with the smallest difference index between the process parameters of the strip to be processed and the strip to be processed is obtained from the CT compensation table and marked as a similar strip. The difference index is the weighted sum of the differences between the process parameters of the strip to be processed and the median of the process parameters of each strip in the CT compensation table.

[0025] In conjunction with the first aspect above, in one possible implementation, the target CT of the steel head end to be processed is the sum of the base CT and the compensated CT.

[0026] In conjunction with the first aspect above, in one possible implementation, the cooling water flow rate required for the target CT analysis head includes:

[0027] Based on historical data, obtain several sets of cooling water flow rate, rolling speed and temperature change values, calculate the cooling water flow rate and rolling speed required for each set of unit temperature change values, and average the calculated cooling water flow rate and rolling speed to obtain the average cooling water flow rate and average rolling speed required for unit temperature change values.

[0028] Calculate the difference between the current CT at the head end and the target CT at the head end to obtain the temperature difference; calculate the product between the temperature difference and the average cooling water flow rate corresponding to the unit temperature change value to obtain the cooling water flow rate required at the current head end.

[0029] Secondly, a control device for the stability of the CT at the head end of a strip is provided, comprising: a communication unit and a processing unit; the communication unit is used to acquire process parameters of the strip to be processed; acquire the basic CT of the strip to be processed based on the process parameters, and acquire the compensation CT at the head end of the strip to be processed; the processing unit is used to acquire the target CT at the head end of the strip to be processed based on the basic CT and the compensation CT; and analyze the required cooling water flow rate at the head end based on the target CT.

[0030] Thirdly, this application provides a control device for CT stability with a steel tip, comprising: a processor and a storage medium; the storage medium includes instructions, and the processor is configured to execute the instructions to implement the method described in the first aspect and any possible implementation thereof. This control device for CT stability with a steel tip can be an electronic device or a chip within an electronic device.

[0031] Fourthly, this application provides a control system for the stability of the CT at the head end of a strip, comprising: an acquisition module, a compensation analysis module, and a cooling module; wherein, the acquisition module is used to acquire the process parameters of the strip to be processed; the compensation analysis module acquires the basic CT of the strip to be processed based on the process parameters, and acquires the compensation CT at the head end of the strip to be processed; based on the basic CT and the compensation CT, the target CT at the head end of the strip to be processed is acquired; and the cooling module analyzes the required cooling water flow rate at the head end based on the target CT.

[0032] Fifthly, this application provides a computer-readable storage medium storing instructions that, when executed on a control device for CT stability with a steel tip, cause the control device for CT stability with a steel tip to perform the method described in the first aspect and any possible implementation thereof.

[0033] Sixthly, this application provides a computer program product containing instructions that, when the computer program product is run on a control device for CT stability with a steel tip, causes the control device for CT stability with a steel tip to perform the methods described in the first aspect and any possible implementation thereof.

[0034] This application provides a method and system for controlling the temperature stability (CT) at the head end of a strip steel. By acquiring the physical and geometric parameters of the strip steel to be processed, and combining the basic CT with the head-end compensation CT, the target CT at the head end is accurately determined, and the required cooling water flow rate is analyzed accordingly. Its core advantages are: first, improved temperature control accuracy. By introducing a compensation CT, the temperature loss generated at the strip steel head end during transport or initial processing is effectively compensated, ensuring that the target CT is reached and significantly reducing defects such as deformation and cracks caused by uneven temperature. Second, enhanced system responsiveness. The cooling strategy is dynamically adjusted based on process parameters, achieving real-time optimized control of the cooling process and improving automation and production efficiency. Third, energy saving and consumption reduction. Precise control of cooling water flow rate and time avoids over-cooling or under-cooling, preventing the head-end temperature from decreasing and causing uneven strip steel temperature distribution. Fourth, improved process adaptability. It is applicable to the processing of strip steel of various specifications and materials, meeting diverse production needs. Overall, this method improves product quality stability and production line intelligence, reduces product damage rates, and has good application prospects.

[0035] It should be understood that the descriptions of technical features, technical solutions, beneficial effects, or similar language in this application do not imply that all features and advantages can be achieved in any single embodiment. Rather, it is understood that the description of a feature or beneficial effect means that a specific technical feature, technical solution, or beneficial effect is included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions, or beneficial effects in this specification do not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions, and beneficial effects described in this embodiment can be combined in any suitable manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions, or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects may be identified in specific embodiments that do not embody all embodiments. Attached Figure Description

[0036] Figure 1 A system architecture diagram of a control system for CT stability with a steel head end provided in this application embodiment;

[0037] Figure 2 A flowchart illustrating a method for controlling the stability of a CT scanner with a steel head end, provided in an embodiment of this application;

[0038] Figure 3 This is a schematic diagram of the structure of a control device provided in an embodiment of this application;

[0039] Figure 4 This is a schematic diagram of the hardware structure of a control device provided in an embodiment of this application. Detailed Implementation

[0040] In the description of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B. The "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. Furthermore, "at least one" means one or more, and "multiple" means two or more. The terms "first," "second," etc., do not limit the quantity or order of execution, and "first," "second," etc., do not necessarily imply differences.

[0041] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0042] The control system for CT stability with a steel head end provided in this application embodiment can be applied to, for example... Figure 1 In the control system 100 shown, such as Figure 1 As shown, the communication system includes: an acquisition module, a compensation analysis module, and a cooling module;

[0043] The acquisition module is used to acquire the process parameters of the strip steel to be processed.

[0044] The compensation analysis module obtains the basic CT of the strip to be processed based on process parameters, and obtains the compensated CT of the head end of the strip to be processed; based on the basic CT and the compensated CT, it obtains the target CT of the head end of the strip to be processed; where the head end is the area from the existing temperature sampling point to the end of the strip.

[0045] The cooling module is based on the required cooling water flow rate at the target CT analysis head.

[0046] To address the technical problem in existing technologies that fail to consider the temperature difference between the temperature sampling point and the strip head, leading to temperature control deviations and low strip yield, this application provides a method for controlling the temperature stability (CT) at the strip head. This method includes: acquiring process parameters of the strip to be processed; acquiring a base CT and a compensated CT at the strip head based on the process parameters; acquiring a target CT at the strip head based on the base CT and the compensated CT; and analyzing the required cooling water flow rate at the head based on the target CT. By acquiring the base CT and the compensated CT, i.e., considering the correction value for the special state of the strip head, the target CT can be calculated more accurately, thereby achieving precise control of the cooling water flow rate. Because the strip head often experiences uneven heating or deformation when entering the rolling or cooling system, introducing a compensated CT can effectively compensate for this unevenness, avoiding quality problems such as cracks, deformation, or uneven microstructure, which affect the yield of the finished product.

[0047] like Figure 2 As shown in the embodiment of this application, a method for controlling the stability of a CT scanner with a steel head includes:

[0048] S201. Obtain the process parameters of the strip steel to be processed.

[0049] The process parameters include the physical and geometric parameters of the strip steel to be processed; the physical parameters include the type of strip steel, such as carbon content, and the geometric parameters include thickness and width.

[0050] S202. Obtain the basic CT of the strip steel to be processed based on process parameters.

[0051] Among them, the basic CT characterizes the CT required for the strip to be processed; the compensated CT characterizes the temperature compensation required at the head end of the strip to be processed.

[0052] It should be noted that the basic CT (cold-rolled thickness) is a core indicator for ensuring the quality performance and application reliability of strip steel.

[0053] S203. Based on the basic CT and compensated CT, obtain the target CT of the steel head end to be processed.

[0054] Among them, the target CT of the steel head end to be processed is the sum of the basic CT and the compensated CT.

[0055] It should be noted that in the actual production process, due to the large contact area between the head end and the air during the transport of slabs and intermediate billets on the roller conveyor, there is a phenomenon of shaking and temperature drop, which can lead to the temperature of the strip head end being too low and affecting the model setting. Therefore, it is necessary to compensate for the temperature of the strip head end.

[0056] S204, Cooling water flow rate required for the head end based on target CT analysis.

[0057] It should be noted that this is achieved by controlling the flow rate of cooling water and controlling the temperature change at the head end.

[0058] Based on the above technical solution, this application provides a method for controlling the stability of the CT at the head end of a strip steel. This method acquires the physical parameters (such as strip steel type and carbon content) and geometric parameters (thickness and width) of the strip steel to be processed. These parameters comprehensively cover the key factors affecting the processing quality of the strip steel. Different types and carbon contents of strip steel exhibit different performance characteristics during processing, and thickness and width also significantly impact the processing technology. By comprehensively considering these parameters, accurate basic information can be provided for subsequent processing control, helping to achieve a more precise processing process and ensuring the quality performance and application reliability of the strip steel. Considering that the head end of the strip steel has a large contact surface with air during transportation and experiences temperature drop due to vibration, leading to a lower temperature that affects model settings, a compensation CT is introduced to obtain the target CT at the head end of the strip steel to be processed. This targeted temperature compensation measure effectively solves the impact of abnormal head end temperature on processing quality, ensuring that the strip steel head end is at a suitable temperature during processing, thereby improving the quality uniformity and stability of the entire strip steel product. Through this temperature compensation mechanism, processing parameters can be adjusted in a timely manner, ensuring the smooth progress of the production process, reducing production interruptions and quality problems caused by abnormal temperatures, and improving the continuity and stability of production.

[0059] In one possible implementation of this application embodiment, the above-mentioned S201 can be specifically implemented by the following S301 and S302, which are described in detail below:

[0060] S301. Obtain several process parameters of strip steel and corresponding basic CT from historical data;

[0061] The process parameters of the strip steel and the basic CT are integrated into several sets of training data and test data; the training data is used to train the DNN neural network model; the test data is used to test the trained DNN neural network model, and the DNN neural network model is adjusted according to the test results; finally, a CT evaluation model with process parameters as input and basic CT as output is obtained.

[0062] S302. Input the physical and geometric parameters of the strip to be processed into the CT evaluation model and output the basic CT of the strip to be processed; wherein, the CT evaluation model is constructed based on the DNN neural network model.

[0063] For example, suppose a steel mill's historical database contains the following strip steel process parameters and corresponding baselines (CT):

[0064] Training data (70% of samples): used to train the DNN model, such as sample ID1, 3, 5...; Validation data (30% of samples): used to validate model performance, such as sample ID2, 4, 6...

[0065] DNN Model Construction and Training: Input Layer: 3 neurons (thickness, width, steel type and basic CT); Hidden Layer: 3 layers (number of neurons per layer: 64→32→16, activation function: ReLU); Output Layer: 1 neuron (basic CT, linear activation); Training Parameters: Mean Squared Error (MSE) loss function, Adam optimizer, iteration several times, such as 1000 times;

[0066] Test results: The average error in predicting CT on the test data is ±α, where α is a natural number; Adjustment measures: If the error is too large, try increasing the number of neurons in the hidden layer or adding a Dropout layer to prevent overfitting;

[0067] To evaluate the basic CT scan of a certain steel strip, the thickness, width, and steel type of the steel strip are input into the CT evaluation model, and the CT evaluation model outputs the basic CT scan of the steel strip.

[0068] Based on the above technical solution, several strip steel process parameters and corresponding basic CT values ​​are obtained from historical data as the basis for modeling. Historical data is a true record of the actual production process, containing rich information and reflecting the intrinsic relationship between process parameters and basic CT values. Building the model based on a large amount of real data ensures that the model has a solid realistic basis, avoiding subjective assumptions and empirical biases, and improving the scientific rigor and reliability of the model. A deep neural network (DNN) is chosen to build the model, fully utilizing its powerful nonlinear mapping and feature learning capabilities. The relationship between strip steel process parameters and basic CT values ​​is often complex and nonlinear, and traditional linear models struggle to accurately describe this relationship. DNNs, through the complex connections of multiple layers of neurons and the nonlinear transformation of activation functions, can automatically learn and extract deep-level features from the data, thereby more accurately fitting the complex mapping relationship between process parameters and basic CT values, providing strong support for building a high-quality CT evaluation model.

[0069] The integrated data is divided into training and testing data, which are used for model training and testing respectively. This approach follows the basic principles of machine learning: training the model to learn patterns and regularities from the data, and then using independent testing data to evaluate the model's performance. Adjusting and optimizing the model based on the testing results effectively avoids overfitting or underfitting, ensuring that the model exhibits good generalization ability even on unseen data, thereby improving the accuracy of the basic CT output by the CT evaluation model.

[0070] In one possible implementation of this application embodiment, the above-mentioned S202 can be specifically implemented by the following S401 and S402, which are described in detail below:

[0071] S401. Extract the temperature values ​​lost during the production process of several different types of strip steel ends from historical data and mark them as CTs to be compensated.

[0072] Extract several CTs of the same type of strip steel to be compensated, and the mode of the several CTs to be compensated is the compensated CT of the same type of strip steel.

[0073] Based on different types of steel strips and compensated CT, a CT compensation table was constructed.

[0074] It should be noted that the CT compensation table establishes a mapping relationship between different types of strip steel and compensated CT; different types of strip steel represent strip steel with different process parameters.

[0075] S402. Based on the process parameters of the strip to be processed, find the strip with the same common process parameters from the CT compensation table. The compensation CT of the head end of the strip is the compensation CT of the head end of the strip to be processed.

[0076] If the process parameters of the strip to be processed are not in the CT compensation table, then similar strips will be extracted from the CT compensation table, as follows:

[0077] The strip with the smallest difference index between the process parameters of the strip to be processed and the process parameters of the strip to be processed is obtained from the CT compensation table and marked as a similar strip; where the difference index is the weighted sum of the differences between the process parameters of the strip to be processed and the process parameters of each strip in the CT compensation table.

[0078] If there is a similar strip, the compensation CT corresponding to the similar strip is the compensation CT of the strip to be processed; if there are multiple similar strips, the average of the compensation CTs corresponding to the multiple similar strips is the compensation CT of the strip to be processed.

[0079] For example, suppose a hot rolling mill collects the following strip steel production data and records the head end temperature loss value (CT to be compensated), as shown in Table 1 below, which is a CT compensation statistics table for various types of strip steel, and Table 2 is a CT compensation table.

[0080] Table 1. CT Compensation Statistics for Various Types of Strip Steel

[0081]

[0082]

[0083] Table 2 CT Compensation Table

[0084]

[0085] Specifically, it is assumed that the carbon content of strip steel type A is 0.08% to 0.1%, the thickness is 2 mm to 5 mm, and the width is 1250 mm to 1500 mm; the carbon content of strip steel type B is 0.2% to 0.35%, the thickness is 5 mm to 7 mm, and the width is 1500 mm to 1700 mm; and the carbon content of strip steel type C is 0.35% to 0.4%, the thickness is 8 mm to 9 mm, and the width is 1800 mm to 2000 mm.

[0086] The compensation CT of a certain strip steel to be processed is now being evaluated, including the following two cases:

[0087] The first scenario: The process parameters of the strip to be processed exist in the compensation CT table;

[0088] For example, the parameters of the strip steel to be processed are: thickness = 5.0mm, width = 1550mm, carbon content = 0.2%. The content of each parameter is within type B, so the strip steel to be processed belongs to type B.

[0089] The compensation CT is directly obtained from the table as 20℃; if the base CT of the strip to be processed is 600℃, then the head end CT = 600℃ + 20℃ = 620℃.

[0090] The second scenario: The process parameters of the strip to be processed are not present in the compensation CT table;

[0091] For example, the process parameters for the strip steel to be processed are: thickness = 5.0 mm, width = 1750 mm, carbon content = 0.38%.

[0092] The weighting coefficients of each process parameter can be set according to the actual situation. In this embodiment, the weighting coefficients of each process parameter are set to 0.3, 0.35, and 0.35, respectively.

[0093] It should be noted that if a certain process parameter is included in the range of process parameters corresponding to a certain strip steel type, the difference between the process parameters is 0; if it is not within the range, the absolute value of the difference between the process parameter and the median value of the corresponding process parameter is calculated; median value = (upper limit value + lower limit value) / 2.

[0094] The difference index between the process parameters of the strip to be processed and strip A is 0×0.3+|1375-1750|×0.35+|0.09-0.38|×0.35≈131;

[0095] The difference index between the process parameters of the strip to be processed and strip B is 0×0.3+|1600-1750|×0.35+|0.275-0.38|×0.35≈52;

[0096] The difference index between the process parameters of the strip steel to be processed and the strip steel C is: |8.5-5|×0.3+|1900-1750|×0.35+|0.375-0.38|×0.35≈54;

[0097] Based on the above calculation results, it can be seen that the difference index between strip B and the strip to be processed is the smallest, so strip B is a similar strip; the compensation CT of the strip to be processed is the compensation CT corresponding to the similar strip, and the compensation CT = 20℃; if the base CT of the strip to be processed is 600℃, then the head end CT = 600℃ + 20℃ = 620℃.

[0098] Based on the above calculation method, assuming that the analysis yields several similar strips, such as strip A and strip B, then the compensation CT for the processed strip is (compensation CT of strip A + compensation CT of strip B) / 2.

[0099] Based on the above technical solution, the temperature values ​​lost at the ends of different types of strip steel during production are extracted from historical data as the temperature coefficients (CTs) to be compensated, and the compensation CTs for the same type of strip steel are further determined. Historical data is a true reflection of the actual production process, including temperature changes at the ends of strip steel under various complex working conditions. Through the analysis and refinement of a large amount of historical data, the patterns and characteristics of temperature loss at the ends of different types of strip steel can be accurately captured, thus providing a reliable basis for determining a reasonable compensation CT and effectively improving the accuracy of compensation. Furthermore, the use of the mode method to determine the compensation CTs for the same type of strip steel has a certain degree of scientific validity and rationality. The mode is the value that appears most frequently in a set of data; it can reflect the central tendency of the data. Using the mode as the compensation CT can avoid the influence of individual abnormal data on the compensation results, further improving the accuracy of compensation. In addition, the CT compensation table establishes a mapping relationship between different types of strip steel and compensation CTs, where different types of strip steel represent strip steel with different process parameters. This means that the compensation table can adapt to the production needs of strip steel of various specifications and materials.

[0100] It should be noted that the calculated values ​​in the embodiments of the present invention are all rounded to the nearest integer.

[0101] In one possible implementation of this application embodiment, the above-mentioned S204 can be specifically implemented by the following S501, S502 and S503, which are described in detail below:

[0102] S501: Based on historical data, obtain several sets of cooling water flow rate, rolling speed and temperature change values, and calculate the cooling water flow rate and rolling speed required for each set of unit temperature change values.

[0103] S502: The calculated cooling water flow rate and rolling speed are averaged to obtain the average cooling water flow rate and average rolling speed required per unit temperature change.

[0104] S503: Calculate the difference between the current CT at the head end and the target CT at the head end to obtain the temperature difference; calculate the product between the temperature difference and the average cooling water flow rate corresponding to the unit temperature change value to obtain the cooling water flow rate required at the current head end.

[0105] Based on the above technical solution, multi-dimensional information such as cooling water flow rate and temperature change values ​​are obtained from historical data. By calculating the cooling water flow rate required for each unit temperature change, the complex cooling process is quantitatively analyzed. The calculated cooling water flow rates are then averaged to obtain the average and mean values ​​of the cooling water flow rate required for each unit temperature change. Averaging smooths out fluctuations and noise in the data, reduces the impact of individual outliers on the results, and makes the obtained averages more representative and stable. Proportional allocation of cooling resources based on the required cooling resources per unit temperature change allows for precise determination of the cooling water flow rate needed under current production conditions, achieving personalized and precise cooling control.

[0106] The above primarily describes the solutions of the embodiments of this application from the perspective of device implementation. It is understood that each device, for example, a control device for CT stability with a steel head end, includes at least one of the hardware structures and software modules corresponding to the execution of each function in order to achieve the above-mentioned functions. Those skilled in the art should readily recognize that, based on the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0107] This application embodiment can divide a control device for the stability of a CT with a steel head end into functional units based on the above method example. For example, each function can be divided into separate functional units, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents a logical functional division; other division methods may be used in actual implementation.

[0108] When using integrated units, Figure 3 A possible structural schematic diagram of a control device (denoted as control device 50) for the stability of a CT with a steel head end involved in the above embodiments is shown. The control device 50 includes a processing unit 501 and a communication unit 502, and may also include a storage unit 503. Figure 3 The structural diagram shown can be used to illustrate the structure of the control device involved in the above embodiments.

[0109] when Figure 3The schematic diagram shown illustrates the structure of the control device involved in the above embodiments. The processing unit 501 is used to control and manage the operation of the control device, the communication unit 502 is used for the control device to communicate with other devices, and the storage unit 503 is used to store the program code and data of the control device.

[0110] For example, communication unit 502 is used to acquire process parameters of the strip steel to be processed;

[0111] The processing unit 501 is used to obtain the basic CT of the strip to be processed based on the process parameters, and to obtain the compensation CT of the head end of the strip to be processed; and to obtain the target CT of the head end of the strip to be processed based on the basic CT and the compensation CT.

[0112] In addition, the processing unit 501 is also used for the cooling water flow rate required for the target CT analysis head.

[0113] The processing unit 501 can be a processor or a controller, and the communication unit 502 can be a communication interface, transceiver, transceiver circuit, transceiver device, etc. The term "communication interface" is a general term and may include one or more interfaces. The storage unit 503 can be a memory. When the control device 50 is a chip, the processing unit 501 can be a processor or a controller, and the communication unit 502 can be an input interface and / or an output interface, pins, or circuits, etc. The storage unit 503 can be a storage unit within the chip (e.g., a register, cache, etc.) or a storage unit located outside the chip (e.g., read-only memory (ROM), random access memory (RAM, etc.)).

[0114] The communication unit can also be called a transceiver unit. The antenna and control circuit with transceiver functions in the control device 50 can be considered as the communication unit 502 of the control device 50, and the processor with processing functions can be considered as the processing unit 501 of the control device 50. Optionally, the device in the communication unit 502 that implements the receiving function can be considered as a communication unit. The communication unit is used to execute the receiving steps in the embodiments of this application, and the communication unit can be a receiver, a receiver circuit, etc. The device in the communication unit 502 that implements the transmitting function can be considered as a transmitting unit. The transmitting unit is used to execute the transmitting steps in the embodiments of this application, and the transmitting unit can be a transmitter, a transmitter, a transmitting circuit, etc.

[0115] Figure 3If the integrated units in the process are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of software products. These computer software products are stored in a storage medium and include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. Storage media for storing computer software products include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, random access memory, magnetic disks, or optical disks.

[0116] Figure 3 The units in the process can also be called modules; for example, a processing unit can be called a processing module.

[0117] This application embodiment also provides a hardware structure diagram of a control device for CT stability at the steel tip (denoted as control device 60), see [link to diagram]. Figure 4 The control device 60 includes a processor 601, and optionally, a memory 602 connected to the processor 601.

[0118] In the first possible implementation, see Figure 4 The control device 60 also includes a transceiver 603. The processor 601, memory 602, and transceiver 603 are connected via a bus. The transceiver 603 is used to communicate with other devices or communication networks. Optionally, the transceiver 603 may include a transmitter and a receiver. The device in the transceiver 603 that implements the receiving function can be considered as a receiver, which is used to perform the receiving steps in the embodiments of this application. The device in the transceiver 603 that implements the transmitting function can be considered as a transmitter, which is used to perform the transmitting steps in the embodiments of this application.

[0119] Based on the first possible implementation method Figure 4 The structural diagram shown can be used to illustrate the structure of the control device involved in the above embodiments.

[0120] in, Figure 4 Alternatively, the system chip in the control device can be illustrated. In this case, the actions performed by the aforementioned control device can be implemented by the system chip; the specific actions performed can be found above and will not be repeated here.

[0121] In implementation, each step of the method provided in this embodiment can be completed by integrated logic circuits in the processor or by instructions in software form. The steps of the method disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or being executed by a combination of hardware and software modules in the processor.

[0122] The processor in this application may include, but is not limited to, at least one of the following: a central processing unit (CPU), a microprocessor, a digital signal processor (DSP), a microcontroller unit (MCU), or an artificial intelligence processor, etc., and other computing devices that run software. Each computing device may include one or more cores for executing software instructions to perform calculations or processing. The processor may be a standalone semiconductor chip or integrated with other circuits into a single semiconductor chip. For example, it may form a System-on-a-Chip (SoC) with other circuits (such as encoding / decoding circuits, hardware acceleration circuits, or various bus and interface circuits), or it may be integrated as a built-in processor within an ASIC. The ASIC with the integrated processor may be packaged separately or together with other circuits. In addition to the cores for executing software instructions to perform calculations or processing, the processor may further include necessary hardware accelerators, such as field-programmable gate arrays (FPGAs), programmable logic devices (PLDs), or logic circuits that implement dedicated logic operations.

[0123] The memory in the embodiments of this application may include at least one of the following types: read-only memory (ROM) or other types of static storage devices capable of storing static information and instructions; random access memory (RAM) or other types of dynamic storage devices capable of storing information and instructions; or electrically erasable programmable-only memory (EEPROM). In some scenarios, the memory may also be a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.

[0124] This application also provides a computer-readable storage medium including instructions that, when run on a computer, cause the computer to perform any of the methods described above.

[0125] This application also provides a computer program product containing instructions that, when run on a computer, cause the computer to perform any of the methods described above.

[0126] This application also provides a chip including a processor and an interface circuit. The interface circuit is coupled to the processor. The processor is used to run computer programs or instructions to implement the above-described method. The interface circuit is used to communicate with other modules outside the chip.

[0127] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks (SSDs)).

[0128] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, the disclosure, and the appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0129] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

[0130] Some of the data in the above formula are calculated by removing dimensions and taking their numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

Claims

1. A method for controlling the stability of a CT scanner with a steel-tipped end, characterized in that, include: Obtain the process parameters of the strip steel to be processed; The process parameters include the physical and geometric parameters of the strip steel to be processed; The basic temperature coefficient (CT) of the strip to be processed is obtained based on process parameters, and the compensated CT of the head end of the strip to be processed is also obtained; the basic CT represents the CT that the strip to be processed needs to reach; the compensated CT represents the temperature compensation required at the head end of the strip to be processed; wherein, the head end is the region from the existing temperature sampling point to the end of the strip. Based on basic CT and compensated CT, the target CT of the steel head end to be processed is obtained; The required cooling water flow rate at the head end is based on the target CT analysis.

2. The method for controlling the stability of a CT scanner with a steel head as described in claim 1, characterized in that, The basic CT for obtaining the strip steel to be processed based on process parameters includes: The physical and geometric parameters of the strip to be processed are input into the CT evaluation model, and the basic CT of the strip to be processed is output; wherein, the CT evaluation model is constructed based on the DNN neural network model.

3. The method for controlling the stability of a CT scanner with a steel head as described in claim 2, characterized in that, The CT assessment model is built based on a DNN neural network model and includes: Obtain several process parameters for strip steel and corresponding basic CTs from historical data; The process parameters of the strip steel and the basic CT are integrated into several sets of training data and test data; the training data is used to train the DNN neural network model; the test data is used to test the trained DNN neural network model, and the DNN neural network model is adjusted according to the test results; finally, a CT evaluation model with process parameters as input and basic CT as output is obtained.

4. The method for controlling the stability of a CT scanner with a steel head as described in claim 1, characterized in that, The compensation CT at the head end of the strip to be processed is obtained from the CT compensation table; the CT compensation table establishes a mapping relationship between different types of strip and compensation CT; different types of strip represent strips with different process parameters.

5. The method for controlling the stability of a CT scanner with a steel head as described in claim 4, characterized in that, The process of constructing the CT compensation table includes: Extract the temperature values ​​lost during the production process of several different types of strip ends from historical data and mark them as CTs to be compensated. Extract several CTs of the same type of strip steel to be compensated, and the mode of the several CTs to be compensated is the compensated CT of the same type of strip steel. Based on different types of steel strips and compensated CT, a CT compensation table was constructed.

6. The method for controlling the stability of a CT scanner with a steel head end according to claim 5, characterized in that, If the process parameters of the strip to be processed are not in the CT compensation table, then similar strips are extracted from the CT compensation table. If there is a similar strip, the compensation CT corresponding to the similar strip is the compensation CT of the strip to be processed; if there are multiple similar strips, the average of the compensation CTs corresponding to the multiple similar strips is the compensation CT of the strip to be processed.

7. The method for controlling the stability of a CT scanner with a steel head as described in claim 6, characterized in that, The extraction of similar strip steel includes: The strip with the smallest difference index between the process parameters of the strip to be processed and the strip to be processed is obtained from the CT compensation table and marked as a similar strip. The difference index is the weighted sum of the differences between the process parameters of the strip to be processed and the median of the process parameters of each strip in the CT compensation table.

8. The method for controlling the stability of a CT scanner with a steel head as described in claim 1, characterized in that, The target CT to be processed with the steel head end is the sum of the base CT and the compensated CT.

9. The method for controlling the stability of a CT scanner with a steel head as described in claim 1, characterized in that, The required cooling water flow rate for the head end based on the target CT analysis includes: Based on historical data, obtain several sets of cooling water flow rate, rolling speed and temperature change values, calculate the cooling water flow rate and rolling speed required for each set of unit temperature change values, and average the calculated cooling water flow rate and rolling speed to obtain the average cooling water flow rate and average rolling speed required for unit temperature change values. Calculate the difference between the current CT at the head end and the target CT at the head end to obtain the temperature difference; calculate the product between the temperature difference and the average cooling water flow rate corresponding to the unit temperature change value to obtain the cooling water flow rate required at the current head end.

10. A control system for CT stability with a steel-tipped end, characterized in that, The system includes: Acquisition module, compensation analysis module, and cooling module; The acquisition module is used to acquire the process parameters of the strip steel to be processed; The compensation analysis module obtains the basic CT of the strip to be processed based on process parameters, and obtains the compensated CT of the head end of the strip to be processed; based on the basic CT and the compensated CT, it obtains the target CT of the head end of the strip to be processed. The cooling module is based on the cooling water flow rate required for the target CT analysis head.

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