A gilding film production line cooling process adaptive control method and system

Abstract

The application relates to the technical field of gilding film production line cooling process control, and particularly discloses a gilding film production line cooling process adaptive control method and system, which realizes real-time acquisition of a global thermal field state by fusing multi-source data of an infrared thermal imager, a temperature sensor and a speed sensor. Based on this, the cooling capacity coefficient of each cooling section is calculated to quantize the cooling efficiency. In combination with real-time temperature deviation and the cooling capacity coefficient, a preliminary flow adjustment index is generated, and a historical data established influence coefficient matrix is introduced to cross temperature influence compensation of the adjustment index, so that interference caused by heat conduction and control delay is offset. Finally, the cooling liquid flow of each section is accurately adjusted according to the compensated index, fine and stable control of the cooling process is realized. The method effectively improves the control precision and stability, avoids system oscillation, and is beneficial to improving the size stability and flatness of the gilding film product.

Description

Technical Field

[0001] This application relates to the field of cooling process control technology for hot stamping film production lines, and more specifically, to an adaptive control method and system for the cooling process of hot stamping film production lines. Background Technology

[0002] In the industrial production of hot stamping film, the cooling process is a crucial step that determines the final quality of the product, especially its dimensional stability and flatness. Traditional cooling systems often rely on preset parameters or simple environmental feedback adjustments, which are insufficient to cope with the complex and ever-changing influencing factors during the production process.

[0003] To address the issue of uneven lateral temperature during hot stamping film production, a segmented cooling roller and an infrared thermal imager were introduced into the production line. The segmented cooling roller is internally divided into multiple independent cooling chambers, with the coolant flow rate in each area independently controllable. The infrared thermal imager scans the entire width of the film leaving the cooling roller in real time, generating a complete temperature distribution image. Based on the thermal imager data, the control system increases the coolant flow rate in the central cooling zone if it detects a higher temperature, and decreases the flow rate in the edge zones if it detects a lower temperature. Theoretically, this is a perfect closed-loop control.

[0004] However, in actual operation, heat is conducted both inside the metal roller and the film material. When the system enhances cooling in the central region, the cooling effect inevitably diffuses to the adjacent areas, affecting their temperatures. Furthermore, there is a significant delay in the entire process from the control system issuing an adjustment command to the change in coolant flow rate, the actual change in roller surface temperature, and finally, the change reflected in the film temperature. If the control system reacts too aggressively to detected temperature deviations, it leads to over-adjustment. For example, the system detects heat in the central region and drastically cools it, but due to the delay, the control command is still in effect when the film temperature drops, causing the central region to become overcooled. Simultaneously, the cooling also affects the adjacent areas. Next, the system detects the overcooling in the central region and the corresponding temperature changes on both sides, and then reverses course with drastic adjustments. The end result is that the temperature distribution at the high and low points in the transverse direction of the film remains unstable, and the entire system falls into a state of unconverged oscillation, which actually exacerbates the internal stress problem in the final product.

[0005] There is currently no effective technical solution to the above problems. Summary of the Invention

[0006] The purpose of this application is to provide an adaptive control method and system for the cooling process of a hot stamping film production line. This aims to solve the technical problems that make it difficult to achieve precise control of the cooling process in the hot stamping film production process, resulting in poor product quality consistency, and that traditional control systems are prone to oscillation when dealing with complex and variable influencing factors, making it impossible to stabilize the transverse temperature distribution of the film, which ultimately leads to an aggravation of internal stress problems in the product.

[0007] To solve the above problems, the solution proposed in this application is as follows:

[0008] As one aspect of this application, an adaptive control method for the cooling process of a hot stamping film production line is provided, which is applied to a hot stamping film production line containing multiple cooling sections. The method includes:

[0009] Step S1: Use an infrared thermal imager to scan and acquire the real-time temperature distribution of the hot stamping film leaving a single cooling section; use a temperature sensor to monitor the inlet and outlet temperatures of the coolant in each cooling section in real time; use a speed sensor to acquire the running linear speed of the hot stamping film in real time; perform time synchronization and structured fusion of the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running linear speed of the hot stamping film to form global thermal field status data.

[0010] Step S2: Calculate the cooling capacity coefficient corresponding to each cooling section using global thermal field state data, wherein the cooling capacity coefficient indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding cooling section;

[0011] Step S3: Calculate the deviation between the real-time temperature distribution of the hot stamping film in each cooling zone and the set target cooling temperature. Based on this deviation and the cooling capacity coefficient corresponding to each cooling zone, calculate the coolant flow rate adjustment index.

[0012] Step S4: Based on the calculated coolant flow rate adjustment index, use the influence coefficient matrix established based on the historical operating data of the hot stamping film production line to calculate the cross temperature influence parameters between each cooling section, and compensate the coolant flow rate adjustment index according to the cross temperature influence parameters to obtain the compensated coolant flow rate adjustment index.

[0013] Step S5: Adjust the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index.

[0014] Furthermore, step S2 includes:

[0015] Step S21: Obtain the heat transfer characteristic parameters of the cooling roller from the production parameter description of the hot stamping film production line. The heat transfer characteristic parameters of the cooling roller include the heat transfer coefficient, roller surface temperature difference, cooling medium flow rate, material thermal conductivity, and heat exchange power density.

[0016] Step S22: Based on the obtained heat transfer characteristic parameters of the cooling roller, according to the real-time temperature distribution of the hot stamping film in each cooling section, the inlet and outlet temperatures of the coolant in each cooling section, the running linear speed of the hot stamping film, and the heat transfer characteristic parameters of the cooling roller, the cooling capacity coefficient characterizing the cooling efficiency of each cooling section under the current working condition is obtained by looking up a table.

[0017] Furthermore, step S3 includes:

[0018] Step S31: Obtain the deviation ΔT_i between the current temperature T_i and the target temperature T_t of the hot stamping film area corresponding to each cooling section, and the cooling capacity coefficient C_i of each cooling section, where i indicates the number of the cooling section.

[0019] Step S32: Use the formula ΔF_i=K_p The initial flow adjustment ΔF_i for each cooling section i is calculated using ΔT_i / C_i; where K_p is the proportional coefficient, and the set of all ΔF_i constitutes the coolant flow adjustment index.

[0020] Furthermore, in step S4, the compensated coolant flow rate adjustment index obtained by compensating for the cross-temperature influence parameter is calculated using the following mathematical formula:

[0021] The coolant flow rate adjustment index is set as a vector ΔF=[ΔF_1,ΔF_2,...,ΔF_i], where i indicates the number of the cooling section;

[0022] The cross-temperature influence parameter ΔT_c, obtained using the influence coefficient matrix M, is calculated using the following formula: ΔT_c = M ΔF;

[0023] The compensated flow adjustment index ΔF_c is calculated using the following formula: ΔF_c = ΔF - α (M^(-1) ΔT_c);

[0024] Where α is the compensation gain coefficient, which is used to adjust the intensity of compensation; M^(-1) is the inverse matrix of the influence coefficient matrix M.

[0025] Furthermore, in step S4, the influence coefficient matrix is ​​established using the following method:

[0026] When the hot stamping film production line is operating stably under the set benchmark conditions, a step change in coolant flow rate with a known flow rate amplitude is applied to each cooling section in sequence;

[0027] After each step change in coolant flow rate with a known flow rate amplitude, monitor and record the change in the temperature of the hot stamping film corresponding to all cooling sections when it reaches a steady state.

[0028] Based on the step change in coolant flow rate with a known flow rate amplitude applied each time and the change in the hot stamping film temperature of all cooling sections when they reach a steady state, the influence coefficient matrix M is obtained by using the least squares method. The matrix element M_ij in the influence coefficient matrix represents the influence coefficient of the coolant flow rate change in the i-th cooling section on the film temperature of the j-th cooling section.

[0029] Furthermore, the influence coefficient matrix is ​​a square matrix, wherein the dimension of the influence coefficient matrix is ​​the same as the number of cooling sections, and the off-diagonal elements in the influence coefficient matrix are used to quantify the cross-influence of heat conduction between the various cooling sections.

[0030] Furthermore, step S5 includes:

[0031] Step S51: Decompose the compensated coolant flow rate adjustment index into multiple flow rate adjustment amounts sorted by adjustment time according to the set weight.

[0032] Step S52: The flow adjustment amount is sequentially sent to the flow control actuator of the corresponding cooling section in chronological order, wherein the flow control actuator is a variable frequency pump or a proportional regulating valve.

[0033] Furthermore, the flow rate adjustment is configured to not exceed 5% of the current flow rate of the corresponding cooling section.

[0034] Furthermore, following step S5, the following steps are also included:

[0035] Step S61: Delay the set response period and obtain the real-time temperature distribution of the hot stamping film again;

[0036] Step S62: Compare the actual change in the temperature distribution obtained again with the predicted cross-temperature influence parameters to obtain the prediction error;

[0037] Step S63: Based on the obtained prediction error, the elements in the influence coefficient matrix are adjusted using the recursive least squares method.

[0038] As a second aspect of this application, an adaptive control system for the cooling process of a hot stamping film production line is provided, which is applied to a hot stamping film production line containing multiple cooling sections. The system includes:

[0039] A global thermal field state data forming module is used to scan and acquire the real-time temperature distribution of the hot stamping film leaving a single cooling section using an infrared thermal imager; to monitor the inlet and outlet temperatures of the coolant in each cooling section in real time using a temperature sensor; to acquire the running linear speed of the hot stamping film in real time using a speed sensor; and to perform time synchronization and structured fusion of the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running linear speed of the hot stamping film to form global thermal field state data.

[0040] The cooling capacity coefficient calculation module is used to calculate the cooling capacity coefficient corresponding to each cooling section using global thermal field state data. The cooling capacity coefficient indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding cooling section.

[0041] The coolant flow rate adjustment index calculation module is used to calculate the deviation between the real-time temperature distribution of the hot stamping film in each cooling section and the set target cooling temperature, and to calculate the coolant flow rate adjustment index based on the deviation and the cooling capacity coefficient corresponding to each cooling section.

[0042] The coolant flow rate adjustment index compensation module is used to calculate the cross temperature influence parameters between each cooling section based on the influence coefficient matrix established by the historical operation data of the hot stamping film production line according to the calculated coolant flow rate adjustment index, and to compensate the coolant flow rate adjustment index according to the cross temperature influence parameters to obtain the compensated coolant flow rate adjustment index.

[0043] A coolant flow rate regulation module is used to adjust the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index.

[0044] This application discloses an adaptive control method and system for the cooling process of a hot stamping film production line. It acquires multi-source data in real time, including the temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the linear speed of the hot stamping film, using an infrared thermal imager, temperature sensor, and speed sensor. This data is then synchronized and fused in a structured manner to form comprehensive global thermal field status data. This allows the system to accurately monitor the production line's operating status in real time, laying the foundation for subsequent precise control. Secondly, the cooling capacity coefficient of each cooling section is calculated using the global thermal field status data. This coefficient directly indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding section, thus quantifying the cooling efficiency of each section. Next, the deviation between the real-time temperature distribution of the hot stamping film and the target cooling temperature is calculated, and combined with the cooling capacity coefficient, a preliminary coolant flow rate adjustment index is obtained, ensuring that the flow rate adjustment is based on actual temperature requirements and cooling efficiency. Finally, an influence coefficient matrix based on historical operating data of the hot stamping film production line is introduced to calculate the cross-temperature influence parameters between different cooling sections. By compensating for the coolant flow rate adjustment index, this method effectively offsets the cross-influence caused by heat conduction and control delay, avoiding over-adjustment and system oscillation common in traditional control. Finally, this method adjusts the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index, achieving refined and stable control of the cooling process. In summary, this application overcomes the problems of low control accuracy and easy oscillation in the cooling process in the prior art through multi-source data fusion, cooling capacity quantification, and cross-influence compensation, which helps to improve the dimensional stability and flatness of hot stamping film products. Attached Figure Description

[0045] Figure 1 A flowchart of an adaptive control method for the cooling process of a hot stamping film production line is provided in this application embodiment;

[0046] Figure 2 A system structure block diagram of an adaptive control system for the cooling process of a hot stamping film production line provided in this application embodiment;

[0047] Figure reference numerals: 100, Adaptive control system for cooling process of hot stamping film production line; 101, Global thermal field state data generation module; 102, Cooling capacity coefficient calculation module; 103, Coolant flow rate adjustment index calculation module; 104, Coolant flow rate adjustment index compensation module; 105, Coolant flow rate regulation module. Detailed Implementation

[0048] To better illustrate the present invention, the invention will now be described in further detail with reference to the accompanying drawings.

[0049] It should be understood that, in order to make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. The components of the embodiments of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0050] The following description uses at least one specific embodiment as an example. In this embodiment:

[0051] Firstly, such as Figure 1 As shown, an adaptive control method for the cooling process of a hot stamping film production line is provided, which is applied to a hot stamping film production line containing multiple cooling sections. The method includes:

[0052] Step S1: Use an infrared thermal imager to scan and acquire the real-time temperature distribution of the hot stamping film leaving a single cooling section; use a temperature sensor to monitor the inlet and outlet temperatures of the coolant in each cooling section in real time; use a speed sensor to acquire the running linear speed of the hot stamping film in real time; perform time synchronization and structured fusion of the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running linear speed of the hot stamping film to form global thermal field status data.

[0053] Step S2: Calculate the cooling capacity coefficient corresponding to each cooling section using global thermal field state data, wherein the cooling capacity coefficient indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding cooling section;

[0054] Step S3: Calculate the deviation between the real-time temperature distribution of the hot stamping film in each cooling zone and the set target cooling temperature. Based on this deviation and the cooling capacity coefficient corresponding to each cooling zone, calculate the coolant flow rate adjustment index.

[0055] Step S4: Based on the calculated coolant flow rate adjustment index, use the influence coefficient matrix established based on the historical operating data of the hot stamping film production line to calculate the cross temperature influence parameters between each cooling section, and compensate the coolant flow rate adjustment index according to the cross temperature influence parameters to obtain the compensated coolant flow rate adjustment index.

[0056] Step S5: Adjust the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index.

[0057] The adaptive control method for the cooling process of the hot stamping film production line in this application first involves step S1, namely, a comprehensive perception of the operating status of the hot stamping film production line. Specifically, an infrared thermal imager can be used to scan and acquire the real-time temperature distribution of the hot stamping film leaving a single cooling section. For example, the infrared thermal imager can be installed at the outlet of each cooling section to ensure that the instantaneous temperature information of the hot stamping film after cooling in that section is obtained. Simultaneously, temperature sensors are used to monitor the inlet and outlet temperatures of the coolant in each cooling section in real time. Temperature sensors can be installed on the inlet and outlet pipes of the coolant. Furthermore, a speed sensor is used to acquire the running linear speed of the hot stamping film in real time. This sensor can be installed on the conveying path of the hot stamping film, for example, by calculating the linear speed by measuring the rotational speed of the measuring roller. After acquiring this raw data, the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running linear speed of the hot stamping film need to be time-synchronized and structured fused to form global thermal field state data. Time synchronization can be achieved by assigning a unified timestamp to all sensor data, while structured fusion integrates these heterogeneous data into a unified data model for subsequent processing.

[0058] In step S2, the cooling capacity coefficient corresponding to each cooling section is calculated using global thermal field state data. The cooling capacity coefficient indicates the temperature change amplitude after a unit flow rate of coolant passes through the corresponding cooling section. For example, the cooling capacity of each cooling section can be estimated based on the coolant flow rate, inlet and outlet temperature difference, and the temperature change of the hot stamping film. This is achieved by establishing a simplified heat balance model that correlates the heat carried away by the coolant with the heat released by the temperature drop of the hot stamping film.

[0059] The next step, S3, involves calculating the deviation between the real-time temperature distribution of the hot stamping film in each cooling zone and the set target cooling temperature. Based on this deviation and the cooling capacity coefficient corresponding to each cooling zone, a coolant flow rate adjustment index is calculated. For example, an ideal temperature curve can be set as the target cooling temperature, and then the real-time temperature distribution of the hot stamping film is compared with this target curve to obtain the temperature deviation for each cooling zone. Subsequently, combined with the cooling capacity coefficient calculated in step S2, the required coolant flow rate adjustment for each cooling zone is initially estimated to eliminate the temperature deviation.

[0060] In step S4, based on the calculated coolant flow rate adjustment index, an influence coefficient matrix established using historical operating data of the hot stamping film production line is used to calculate the cross-temperature influence parameters between each cooling section. The coolant flow rate adjustment index is then compensated based on these cross-temperature influence parameters to obtain the compensated coolant flow rate adjustment index. For example, the influence coefficient matrix can be obtained through offline experiments or historical data analysis, and is used to quantify the impact of flow rate changes in one cooling section on the temperature of other cooling sections. By multiplying the initial flow rate adjustment index by the influence coefficient matrix, the potential cross-temperature influences caused by these adjustments can be predicted. Then, based on these predicted cross-influences, the initial flow rate adjustment index is reverse-compensated to offset or weaken undesirable cross-influences, thereby obtaining a more accurate compensated coolant flow rate adjustment index.

[0061] Finally, in step S5, the coolant flow rate in each cooling section is adjusted according to the compensated coolant flow rate adjustment index. For example, the compensated flow rate adjustment index can be sent to the flow control actuators of each cooling section, such as variable frequency pumps or proportional control valves, to precisely adjust the coolant flow rate. The actuators will change the coolant flow rate in real time according to the received instructions, thereby achieving precise control of the hot stamping film temperature.

[0062] In summary, the adaptive control method for the cooling process of the hot stamping film production line in this embodiment improves the control accuracy and stability of the cooling process by intelligently fusing multi-source data, dynamically evaluating the cooling capacity coefficient, and accurately compensating for cross-temperature effects. Compared with traditional control systems that rely on preset parameters or simple feedback, this application can more effectively cope with the complexity and dynamic changes in the production process, and solves the problems of system oscillation and unstable product quality that exist in traditional methods.

[0063] Furthermore, step S2 includes:

[0064] Step S21: Obtain the heat transfer characteristic parameters of the cooling roller from the production parameter description of the hot stamping film production line. The heat transfer characteristic parameters of the cooling roller include the heat transfer coefficient, roller surface temperature difference, cooling medium flow rate, material thermal conductivity, and heat exchange power density.

[0065] Step S22: Based on the obtained heat transfer characteristic parameters of the cooling roller, according to the real-time temperature distribution of the hot stamping film in each cooling section, the inlet and outlet temperatures of the coolant in each cooling section, the running linear speed of the hot stamping film, and the heat transfer characteristic parameters of the cooling roller, the cooling capacity coefficient characterizing the cooling efficiency of each cooling section under the current working condition is obtained by looking up a table.

[0066] By introducing the heat transfer characteristic parameters of the cooling roller, the calculation of the cooling capacity coefficient no longer relies solely on macroscopic global thermal field data, but also considers the specific heat transfer physical processes within the cooling section. These heat transfer characteristic parameters provide detailed information about the cooling roller itself and the heat exchange efficiency between it and the cooling medium, thus more accurately reflecting the actual cooling capacity of the cooling section.

[0067] Based on this, a lookup table method is used to establish a mapping relationship that can accurately reflect cooling efficiency under various operating conditions. This allows the calculated cooling capacity coefficient to more accurately characterize the cooling efficiency of each cooling section under the current operating conditions, thus providing a more reliable basis for subsequent coolant flow rate adjustments.

[0068] In some preferred embodiments, this application is implemented as follows. First, before the hot stamping film production line is put into operation, the heat transfer characteristic parameters such as the heat transfer coefficient, roller surface temperature difference, cooling medium flow rate, material thermal conductivity, and heat transfer power density of the cooling rollers in each cooling section are obtained through technical documents, design drawings, and necessary offline experiments provided by the equipment supplier.

[0069] Subsequently, the production line was tested under typical operating conditions, including different production loads, ambient temperatures, and hot stamping film running speeds. The real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running speed of the hot stamping film were recorded simultaneously. During these tests, the actual cooling effect was precisely measured, and the true cooling capacity coefficient under the corresponding operating conditions was calculated. These data points (i.e., the combinations of input parameters and their corresponding true cooling capacity coefficients) were then compiled into a multidimensional lookup table.

[0070] During normal production line operation, when it is necessary to calculate the cooling capacity coefficient, the system will acquire the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, the running speed of the hot stamping film, and the preset heat transfer characteristic parameters of the cooling roller. Then, using these real-time data as an index, the system will query a pre-established lookup table to quickly and accurately obtain the cooling capacity coefficient that characterizes the cooling efficiency of each cooling section under the current operating conditions.

[0071] Furthermore, step S3 includes:

[0072] Step S31: Obtain the deviation ΔT_i between the current temperature T_i and the target temperature T_t of the hot stamping film area corresponding to each cooling section, and the cooling capacity coefficient C_i of each cooling section, where i indicates the number of the cooling section.

[0073] Step S32: Use the formula ΔF_i=K_p The initial flow adjustment ΔF_i for each cooling section i is calculated using ΔT_i / C_i; where K_p is the proportional coefficient, and the set of all ΔF_i constitutes the coolant flow adjustment index.

[0074] Specifically, in step S31, the current temperature T_i refers to a representative temperature in the real-time temperature distribution of the hot stamping film in a specific cooling section, such as the average temperature, maximum temperature, or temperature at a specific point in the measured area. The target temperature T_t refers to the preset ideal cooling temperature that the hot stamping film is expected to reach in the corresponding cooling section. This target temperature can be set according to the material properties of the hot stamping film, production process requirements, and final product quality standards. The deviation ΔT_i refers to the difference between the current temperature T_i and the target temperature T_t, reflecting the gap between the current cooling effect and the expected cooling effect. The cooling capacity coefficient C_i, as described above, indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding cooling section, characterizing the cooling efficiency of the cooling section under the current operating conditions. Here, i indicates the number of the cooling section, used to uniquely identify each cooling section in the production line.

[0075] Furthermore, in step S32, the initial flow adjustment amount ΔF_i is determined by the formula ΔF_i=K_p. ΔT_i / C_i is calculated. Here, K_p is a proportionality coefficient, which adjusts the intensity of the influence of temperature deviation on the flow rate adjustment. It can be optimized based on actual production experience, system response characteristics, or through system debugging. The set of all preliminary flow rate adjustments ΔF_i constitutes the coolant flow rate adjustment index, which serves as the input for subsequent cross-temperature influence compensation.

[0076] By explicitly combining the temperature deviation ΔT_i with the cooling capacity coefficient C_i and introducing a proportionality coefficient K_p, the initial flow rate adjustment for each cooling section is quantitatively calculated. Specifically, when the current temperature T_i of the hot stamping film in a certain cooling section is higher than the target temperature T_t, a positive temperature deviation ΔT_i is generated, requiring an increase in coolant flow rate. Conversely, when the current temperature T_i is lower than the target temperature T_t, a negative temperature deviation ΔT_i is generated, requiring a decrease in coolant flow rate. By dividing the temperature deviation ΔT_i by the cooling capacity coefficient C_i, the temperature adjustment requirement can be effectively converted into a coolant flow rate adjustment requirement, as the cooling capacity coefficient C_i directly reflects the temperature change induced by a unit flow rate of coolant. The proportionality coefficient K_p allows the system to adjust its response sensitivity to temperature deviations according to actual needs, ensuring a balance between system stability and response speed.

[0077] Furthermore, in step S4, the compensated coolant flow rate adjustment index obtained by compensating for the cross-temperature influence parameter is calculated using the following mathematical formula:

[0078] The coolant flow rate adjustment index is set as a vector ΔF=[ΔF_1,ΔF_2,...,ΔF_i], where i indicates the number of the cooling section;

[0079] The cross-temperature influence parameter ΔT_c, obtained using the influence coefficient matrix M, is calculated using the following formula: ΔT_c = M ΔF;

[0080] The compensated flow adjustment index ΔF_c is calculated using the following formula: ΔF_c = ΔF - α (M^(-1) ΔT_c);

[0081] Where α is the compensation gain coefficient, which is used to adjust the intensity of compensation; M^(-1) is the inverse matrix of the influence coefficient matrix M.

[0082] Specifically, the coolant flow rate adjustment index is set as a vector ΔF, which contains the initial flow rate adjustment ΔF_i for each cooling section i. ΔF_i is calculated based on the deviation between the real-time temperature distribution of the hot-stamped film in each cooling section and the set target cooling temperature, as well as the cooling capacity coefficient corresponding to each cooling section. The influence coefficient matrix M is a matrix used to quantify the cross-influence of heat conduction between cooling sections, where the element M_ij represents the influence coefficient of the coolant flow rate change in the i-th cooling section on the film temperature of the j-th cooling section. The cross-temperature influence parameter ΔT_c is obtained by multiplying the influence coefficient matrix M by the initial flow rate adjustment vector ΔF. This parameter characterizes the cross-influence of the initial flow rate adjustment ΔF on the temperature distribution of each cooling section without compensation. The compensation gain coefficient α is an adjustable parameter used to control the intensity of compensation to adapt to different production conditions and control requirements. M^(-1) is the inverse matrix of the influence coefficient matrix M, which is used in the compensation calculation to deduce the required flow rate adjustment.

[0083] First, by representing the initial flow adjustment as a vector ΔF and using a pre-established influence coefficient matrix M, the cross-temperature influence parameter ΔT_c between the cooling sections caused by the initial flow adjustment can be accurately calculated. This can predict how the temperature of other cooling sections will be affected when the flow rate of one cooling section changes. Then, by combining this cross-temperature influence parameter ΔT_c with the inverse matrix M^(-1) of the influence coefficient matrix M and multiplying it by the compensation gain coefficient α, a reverse adjustment can be calculated to offset or reduce the expected cross-influence. Finally, this reverse adjustment is subtracted from the initial flow adjustment ΔF to obtain the compensated flow adjustment index ΔF_c.

[0084] In some preferred embodiments, it is assumed that the hot stamping film production line includes three cooling sections, numbered 1, 2, and 3. At a certain moment, the initial flow adjustment amounts for each cooling section are calculated in step S3 as ΔF_1 = 5 L / min, ΔF_2 = -2 L / min, and ΔF_3 = 3 L / min. Therefore, the initial flow adjustment vector ΔF can be represented as [5, -2, 3].

[0085] Assume the influence coefficient matrix M, constructed using historical operational data, is as follows:

[0086] M=[[1.0,0.1,0.05],[0.15,1.0,0.08],[0.03,0.07,1.0]]

[0087] Where M_12=0.1 indicates that the flow rate change in cooling section 1 has a cross-effect of 0.1 on the temperature of cooling section 2.

[0088] First, calculate the cross-temperature effect parameter ΔT_c:

[0089] ΔT_c=M ΔF=[[1.0,0.1,0.05],[0.15,1.0,0.08],

[0090] [0.03, 0.07, 1.0]] [5,-2,3];

[0091] ΔT_c=[1.0 5+0.1 (-2)+0.05 3,0.15 5+1.0 (-2)+0.08 3,

[0092] 0.03 5+0.07 (-2)+1.0 3]

[0093] ΔT_c=[5-0.2+0.15,0.75-2+0.24,0.15-0.14+3]

[0094] ΔT_c=[4.95,-1.01,3.01]

[0095] This means that, without compensation, the initial flow adjustment will result in cross-temperature effects of 4.95, -1.01, and 3.01 units in each segment.

[0096] Next, assuming the compensation gain coefficient α is set to 0.8, and the inverse matrix M^(-1) of the influence coefficient matrix M has already been calculated, the formula ΔF_c = ΔF - α is used. (M^(-1) The compensated flow adjustment index ΔF_c can be obtained by calculating ΔT_c. For example, if the calculation result is ΔF_c=[4.5,-1.5,2.8], these compensated flow adjustment amounts will be issued to the flow control actuators of each cooling section.

[0097] Furthermore, in step S4, the influence coefficient matrix is ​​established using the following method:

[0098] When the hot stamping film production line is operating stably under the set benchmark conditions, a step change in coolant flow rate with a known flow rate amplitude is applied to each cooling section in sequence;

[0099] After each step change in coolant flow rate with a known flow rate amplitude, monitor and record the change in the temperature of the hot stamping film corresponding to all cooling sections when it reaches a steady state.

[0100] Based on the step change in coolant flow rate with a known flow rate amplitude applied each time and the change in the hot stamping film temperature of all cooling sections when they reach a steady state, the influence coefficient matrix M is obtained by using the least squares method. The matrix element M_ij in the influence coefficient matrix represents the influence coefficient of the coolant flow rate change of the i-th cooling section on the film temperature of the j-th cooling section.

[0101] Specifically, "when the hot stamping film production line is operating stably under the set baseline conditions" means that the production line operates under preset, constant production parameters, such as maintaining a constant hot stamping film running speed, initial temperature, and environmental conditions, to ensure that the system is in a repeatable and stable state, so that subsequent experimental data can accurately reflect the inherent thermal coupling characteristics between cooling sections. "Applying a known flow rate step change to a single cooling section sequentially" means that during the experiment, only the coolant flow rate of one cooling section is instantaneously changed by a preset magnitude each time, while the flow rates of other cooling sections remain unchanged. This operation helps to isolate and quantify the impact of flow rate changes in a single cooling section on the temperature field of the entire system. The "known flow rate amplitude" ensures the quantifiability of the input disturbance. "Monitoring and recording the change values ​​of the hot stamping film temperature corresponding to all cooling sections when it reaches a steady state" means that after each step change, the system needs to wait a sufficiently long time until the hot stamping film temperature of all cooling sections no longer fluctuates significantly, reaching a new steady state. The recorded temperature change value at this time is relative to the steady-state temperature under the baseline conditions. The phrase "using the least squares method to obtain the influence coefficient matrix M" refers to using the collected flow rate step changes and corresponding steady-state temperature changes as input data, and employing the least squares method—a mathematical optimization technique—to calculate a matrix M that best fits these experimental data, thereby minimizing the impact of measurement errors and random noise on the estimation of matrix elements. Specifically, the phrase "the matrix element M_ij in the influence coefficient matrix represents the influence coefficient of the coolant flow rate change in the i-th cooling section on the film temperature of the j-th cooling section" clarifies the physical meaning of each element in matrix M, quantifying the degree of cross-influence of heat conduction between different cooling sections.

[0102] The proposed solution addresses the problem of accurately establishing the influence coefficient matrix M through experimental calibration. Specifically, under the baseline operating conditions of a stable production line, a known-amplitude step change in coolant flow rate is applied sequentially to each cooling section, and the temperature response of all cooling sections is monitored. This yields experimental data on the impact of flow rate changes in different cooling sections on the temperature of other cooling sections. These data reflect the heat conduction and interaction between the cooling sections. Subsequently, by fitting these experimental data using the least squares method, the precise influence coefficients between each cooling section can be extracted from the noise, thereby constructing the influence coefficient matrix M that accurately reflects the dynamic characteristics of the system.

[0103] As a specific implementation method, assume a hot stamping film production line includes three cooling sections. When the production line is operating stably under a set baseline condition, a +5% step change is first applied to the coolant flow rate of the first cooling section. After the hot stamping film temperature in all sections stabilizes, the temperature changes ΔT_11, ΔT_21, and ΔT_31 are recorded for the three sections. Next, the flow rate of the first section is restored, and a +5% step change is applied to the coolant flow rate of the second cooling section. After the temperature stabilizes, the temperature changes ΔT_12, ΔT_22, and ΔT_32 are recorded for the three sections. Similarly, the operation is performed on the third cooling section, and the temperature changes ΔT_13, ΔT_23, and ΔT_33 are recorded. Substituting these flow rate changes (e.g., ΔF_1, ΔF_2, ΔF_3) and the corresponding temperature changes (ΔT_j,i) into the least squares model, a 3x3 influence coefficient matrix M can be obtained. For example, M_12 represents the influence coefficient of the coolant flow rate change in the first cooling zone on the hot stamping film temperature in the second cooling zone.

[0104] Preferably, the influence coefficient matrix is ​​a square matrix, wherein the dimension of the influence coefficient matrix is ​​the same as the number of cooling sections, and the off-diagonal elements in the influence coefficient matrix are used to quantify the cross-influence of heat conduction between the various cooling sections.

[0105] By defining the influence coefficient matrix as a square matrix and ensuring its dimensions match the number of cooling sections, a comprehensive mathematical model reflecting the thermodynamic coupling between cooling sections can be constructed. Since the off-diagonal elements of the matrix are explicitly used to quantify the cross-influence of heat conduction between cooling sections, the system can fully consider the cascading effects of flow rate adjustments in one cooling section on the temperatures of other sections when calculating coolant flow rate adjustment parameters. Therefore, when compensating for coolant flow rate adjustment parameters, this matrix can accurately predict and offset these cross-influences, preventing temperature fluctuations in other areas caused by local adjustments.

[0106] Furthermore, step S5 includes:

[0107] Step S51: Decompose the compensated coolant flow rate adjustment index into multiple flow rate adjustment amounts sorted by adjustment time according to the set weight.

[0108] Step S52: The flow adjustment amount is sequentially sent to the flow control actuator of the corresponding cooling section in chronological order, wherein the flow control actuator is a variable frequency pump or a proportional regulating valve.

[0109] Specifically, the compensated coolant flow rate adjustment index refers to the total flow rate adjustment requirement obtained after compensation for cross-temperature influence parameters. This index is decomposed into multiple flow rate adjustment amounts to avoid system shocks that may result from a large-scale, one-time adjustment of the coolant flow rate. The set weight can be understood as the proportion of each step adjustment amount in the total adjustment amount. For example, it can be decomposed according to equal weights, or different weights can be set based on experience or model predictions to adapt to different cooling section characteristics or production conditions.

[0110] The flow control actuator is the device that actually regulates the coolant flow rate. In practical applications, this actuator is specifically a variable frequency pump or a proportional control valve. A variable frequency pump adjusts the pump speed by changing the motor frequency, thereby controlling the coolant flow rate; a proportional control valve precisely controls the fluid throughput by changing the valve opening. The purpose is to ensure that the flow adjustment is accurately and promptly converted into actual coolant flow rate changes.

[0111] In some preferred embodiments, it is assumed that after compensation, a certain cooling section requires an increase in coolant flow rate of 100 L / min. According to the solution of this application, this 100 L / min flow rate adjustment target can be decomposed into five 20 L / min flow rate adjustment increments. Specifically, the system can be set to issue a 20 L / min adjustment command every 30 seconds. In the first 30 seconds, the flow control actuator (e.g., a variable frequency pump) increases the coolant flow rate by 20 L / min; in the next 30 seconds, it increases it by another 20 L / min, and so on, until the total flow rate increases to 100 L / min. This step-by-step adjustment method allows the temperature of the hot stamping film to decrease smoothly, avoiding the sudden temperature drop or system oscillation that could be caused by a one-time increase of 100 L / min in flow rate.

[0112] Preferably, in the practical application of this embodiment, the flow rate adjustment amount is configured to not exceed 5% of the current flow rate of the corresponding cooling section.

[0113] Furthermore, following step S5, the following steps are also included:

[0114] Step S61: Delay the set response period and obtain the real-time temperature distribution of the hot stamping film again;

[0115] Step S62: Compare the actual change in the temperature distribution obtained again with the predicted cross-temperature influence parameters to obtain the prediction error;

[0116] Step S63: Based on the obtained prediction error, the elements in the influence coefficient matrix are adjusted using the recursive least squares method.

[0117] Specifically, the delayed response period refers to the time required for the system to reach a new stable state after the coolant flow rate is adjusted. In other words, the effect of the flow rate adjustment needs time to be fully reflected in the temperature distribution of the hot stamping film. This response period can be preset based on the physical characteristics, thermal inertia, and empirical data of the production line to ensure that the impact of the flow rate adjustment is fully apparent when the temperature distribution is acquired again. Acquiring the real-time temperature distribution of the hot stamping film again aims to obtain the actual temperature response after the flow rate adjustment, serving as the basis for subsequent matrix adjustments.

[0118] The predicted cross-temperature influence parameter refers to the expected temperature cross-influence between various cooling sections, calculated in step S4 based on the current coolant flow rate adjustment index and influence coefficient matrix. The actual change refers to the actual temperature change obtained by comparing the real-time temperature distribution of the hot-stamping film acquired again after the delayed response period with the temperature distribution before adjustment. Comparing the actual change in the re-acquired temperature distribution with the predicted cross-temperature influence parameter yields the prediction error, which quantifies the difference between the predictive capability of the current influence coefficient matrix and the actual system response.

[0119] By introducing a closed-loop adaptive mechanism, the potential static or dynamic errors in the influence coefficient matrix are addressed. When the coolant flow rate is adjusted, the system delays the response by one cycle to ensure the effect of the flow adjustment is fully reflected in the temperature of the hot stamping film. Subsequently, the real-time temperature distribution obtained again provides the system's true response under the current adjustment. By comparing this actual response with the cross-temperature influence parameters predicted based on the existing influence coefficient matrix, the prediction error of the matrix can be accurately quantified. It is precisely because of this error that the system can identify the deficiencies of the current matrix. Furthermore, using recursive least squares, this error is effectively used to update and adjust the elements of the influence coefficient matrix online. This iterative adjustment process allows the influence coefficient matrix to continuously approximate the actual heat transfer characteristics of the production line, thereby ensuring more accurate and effective compensation for cross-temperature influences in subsequent coolant flow rate adjustments.

[0120] In some preferred embodiments, a specific example is given below. Assume a hot stamping film production line comprises three cooling sections. Initially, an influence coefficient matrix is ​​established using historical data. After a period of operation, due to wear on the cooling roller surface or a slight decrease in the efficiency of the coolant circulation system, the actual cross-temperature influence deviates slightly from the predicted values ​​of the initial matrix. For example, after adjusting the coolant flow rate in the first cooling section, the system predicts that the temperature in the second cooling section will increase by 0.5°C, but actual monitoring shows an increase of 0.6°C. At this point, step S61 delays the response period by one cycle (e.g., 5 minutes) and then re-acquires the real-time temperature distribution of the hot stamping film in the three cooling sections. Step S62 compares the actual temperature change (e.g., a 0.6°C increase in the second section) with the predicted cross-temperature influence parameter (e.g., a 0.5°C increase), obtaining a prediction error of 0.1°C. Based on this prediction error, step S63 uses recursive least squares to fine-tune the elements in the influence coefficient matrix related to the influence of the first cooling section on the second cooling section. As production continues, this adjustment process is repeated continuously, allowing the influence coefficient matrix to continuously adapt to the actual operating conditions of the production line. This ensures more accurate compensation of the coolant flow rate adjustment index, ultimately achieving more precise control of the hot stamping film temperature.

[0121] Secondly, such as Figure 2 As shown, an adaptive control system 100 for the cooling process of a hot stamping film production line is provided. This system is applied to a hot stamping film production line containing multiple cooling zones and includes:

[0122] The global thermal field state data forming module 101 is used to scan and acquire the real-time temperature distribution of the hot stamping film leaving a single cooling section using an infrared thermal imager; to monitor the inlet and outlet temperatures of the coolant in each cooling section in real time using a temperature sensor; to acquire the running linear speed of the hot stamping film in real time using a speed sensor; and to perform time synchronization and structured fusion of the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running linear speed of the hot stamping film to form global thermal field state data.

[0123] Cooling capacity coefficient calculation module 102 is used to calculate the cooling capacity coefficient corresponding to each cooling section using global thermal field state data. The cooling capacity coefficient indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding cooling section.

[0124] The coolant flow rate adjustment index calculation module 103 is used to calculate the deviation between the real-time temperature distribution of the hot stamping film in each cooling section and the set target cooling temperature, and to calculate the coolant flow rate adjustment index based on the deviation and the cooling capacity coefficient corresponding to each cooling section.

[0125] The coolant flow rate adjustment index compensation module 104 is used to calculate the cross temperature influence parameters between each cooling section based on the influence coefficient matrix established based on the historical operation data of the hot stamping film production line, and to compensate the coolant flow rate adjustment index according to the cross temperature influence parameters to obtain the compensated coolant flow rate adjustment index.

[0126] The coolant flow rate adjustment module 105 is used to adjust the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index.

[0127] This application discloses an adaptive control method and system for the cooling process of a hot stamping film production line. It acquires multi-source data in real time, including the temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the linear speed of the hot stamping film, using an infrared thermal imager, temperature sensor, and speed sensor. This data is then synchronized and fused in a structured manner to form comprehensive global thermal field status data. This allows the system to accurately monitor the production line's operating status in real time, laying the foundation for subsequent precise control. Secondly, the cooling capacity coefficient of each cooling section is calculated using the global thermal field status data. This coefficient directly indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding section, thus quantifying the cooling efficiency of each section. Next, the deviation between the real-time temperature distribution of the hot stamping film and the target cooling temperature is calculated, and combined with the cooling capacity coefficient, a preliminary coolant flow rate adjustment index is obtained, ensuring that the flow rate adjustment is based on actual temperature requirements and cooling efficiency. Finally, an influence coefficient matrix based on historical operating data of the hot stamping film production line is introduced to calculate the cross-temperature influence parameters between different cooling sections. By compensating for the coolant flow rate adjustment index, this method effectively offsets the cross-influence caused by heat conduction and control delay, avoiding over-adjustment and system oscillation common in traditional control. Finally, this method adjusts the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index, achieving refined and stable control of the cooling process. In summary, this application overcomes the problems of low control accuracy and easy oscillation in the cooling process in the prior art through multi-source data fusion, cooling capacity quantification, and cross-influence compensation, which helps to improve the dimensional stability and flatness of hot stamping film products.

[0128] Finally, it should be noted that the above-described embodiments are merely specific implementations of this disclosure, used to illustrate the technical solutions of this disclosure, and not to limit them. The protection scope of this disclosure is not limited thereto. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the scope of the technology disclosed in this disclosure. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be covered within the protection scope of this disclosure.

Claims

1. An adaptive control method for the cooling process of a hot stamping film production line, applied to a hot stamping film production line comprising multiple cooling zones, characterized in that, The method includes: Step S1: Use an infrared thermal imager to scan and acquire the real-time temperature distribution of the hot stamping film leaving a single cooling section; use a temperature sensor to monitor the inlet and outlet temperatures of the coolant in each cooling section in real time; use a speed sensor to acquire the running linear speed of the hot stamping film in real time; perform time synchronization and structured fusion of the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running linear speed of the hot stamping film to form global thermal field status data. Step S2: Calculate the cooling capacity coefficient corresponding to each cooling section using global thermal field state data, wherein the cooling capacity coefficient indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding cooling section; Step S3: Calculate the deviation between the real-time temperature distribution of the hot stamping film in each cooling zone and the set target cooling temperature. Based on this deviation and the cooling capacity coefficient corresponding to each cooling zone, calculate the coolant flow rate adjustment index. Step S4: Based on the calculated coolant flow rate adjustment index, use the influence coefficient matrix established based on the historical operating data of the hot stamping film production line to calculate the cross temperature influence parameters between each cooling section, and compensate the coolant flow rate adjustment index according to the cross temperature influence parameters to obtain the compensated coolant flow rate adjustment index. Step S5: Adjust the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index.

2. The adaptive control method for the cooling process of the hot stamping film production line according to claim 1, characterized in that, Step S2 includes: Step S21: Obtain the heat transfer characteristic parameters of the cooling roller from the production parameter description of the hot stamping film production line. The heat transfer characteristic parameters of the cooling roller include the heat transfer coefficient, roller surface temperature difference, cooling medium flow rate, material thermal conductivity, and heat exchange power density. Step S22: Based on the obtained heat transfer characteristic parameters of the cooling roller, according to the real-time temperature distribution of the hot stamping film in each cooling section, the inlet and outlet temperatures of the coolant in each cooling section, the running linear speed of the hot stamping film, and the heat transfer characteristic parameters of the cooling roller, the cooling capacity coefficient characterizing the cooling efficiency of each cooling section under the current working condition is obtained by looking up a table.

3. The adaptive control method for the cooling process of the hot stamping film production line according to claim 2, characterized in that, Step S3 includes: Step S31: Obtain the deviation ΔT_i between the current temperature T_i and the target temperature T_t of the hot stamping film area corresponding to each cooling section, and the cooling capacity coefficient C_i of each cooling section, where i indicates the number of the cooling section. Step S32: Use the formula ΔF_i=K_p The initial flow adjustment ΔF_i for each cooling section i is calculated using ΔT_i / C_i; where K_p is the proportional coefficient, and the set of all ΔF_i constitutes the coolant flow adjustment index.

4. The adaptive control method for the cooling process of the hot stamping film production line according to claim 3, characterized in that, In step S4, the compensated coolant flow rate adjustment index, obtained by compensating for the cross-temperature influence parameter, is calculated using the following mathematical formula: The coolant flow rate adjustment index is set as a vector ΔF=[ΔF_1,ΔF_2,...,ΔF_i], where i indicates the number of the cooling section; The cross-temperature influence parameter ΔT_c, obtained using the influence coefficient matrix M, is calculated using the following formula: ΔT_c = M ΔF; The compensated flow adjustment index ΔF_c is calculated using the following formula: ΔF_c = ΔF - α (M^(-1) ΔT_c); Where α is the compensation gain coefficient, which is used to adjust the intensity of compensation; M^(-1) is the inverse matrix of the influence coefficient matrix M.

5. The adaptive control method for the cooling process of the hot stamping film production line according to claim 1, characterized in that, In step S4, the influence coefficient matrix is ​​established using the following method: When the hot stamping film production line is operating stably under the set benchmark conditions, a step change in coolant flow rate with a known flow rate amplitude is applied to each cooling section in sequence; After each step change in coolant flow rate with a known flow rate amplitude, monitor and record the change in the temperature of the hot stamping film corresponding to all cooling sections when it reaches a steady state. Based on the step change in coolant flow rate with a known flow rate amplitude applied each time and the change in the hot stamping film temperature of all cooling sections when they reach a steady state, the influence coefficient matrix M is obtained by using the least squares method. The matrix element M_ij in the influence coefficient matrix represents the influence coefficient of the coolant flow rate change in the i-th cooling section on the film temperature of the j-th cooling section.

6. The adaptive control method for the cooling process of the hot stamping film production line according to claim 5, characterized in that: The influence coefficient matrix is ​​a square matrix, wherein the dimension of the influence coefficient matrix is ​​the same as the number of cooling sections, and the off-diagonal elements in the influence coefficient matrix are used to quantify the cross-influence of heat conduction between the various cooling sections.

7. The adaptive control method for the cooling process of the hot stamping film production line according to claim 1, characterized in that, Step S5 includes: Step S51: Decompose the compensated coolant flow rate adjustment index into multiple flow rate adjustment amounts sorted by adjustment time according to the set weight. Step S52: The flow adjustment amount is sequentially sent to the flow control actuator of the corresponding cooling section in chronological order, wherein the flow control actuator is a variable frequency pump or a proportional regulating valve.

8. The adaptive control method for the cooling process of the hot stamping film production line according to claim 1, characterized in that, The flow rate adjustment is configured to not exceed 5% of the current flow rate of the corresponding cooling section.

9. The adaptive control method for the cooling process of the hot stamping film production line according to claim 1, characterized in that, Following step S5, the method further includes: Step S61: Delay the set response period and obtain the real-time temperature distribution of the hot stamping film again; Step S62: Compare the actual change in the temperature distribution obtained again with the predicted cross-temperature influence parameters to obtain the prediction error; Step S63: Based on the obtained prediction error, the elements in the influence coefficient matrix are adjusted using the recursive least squares method.

10. An adaptive control system for the cooling process of a hot stamping film production line, applied in a hot stamping film production line comprising multiple cooling zones, characterized in that, The system includes: A global thermal field state data forming module is used to scan and acquire the real-time temperature distribution of the hot stamping film leaving a single cooling section using an infrared thermal imager; to monitor the inlet and outlet temperatures of the coolant in each cooling section in real time using a temperature sensor; to acquire the running linear speed of the hot stamping film in real time using a speed sensor; and to perform time synchronization and structured fusion of the real-time temperature distribution of the hot stamping film, the inlet and outlet temperatures of the coolant, and the running linear speed of the hot stamping film to form global thermal field state data. The cooling capacity coefficient calculation module is used to calculate the cooling capacity coefficient corresponding to each cooling section using global thermal field state data. The cooling capacity coefficient indicates the temperature change amplitude after a unit flow of coolant passes through the corresponding cooling section. The coolant flow rate adjustment index calculation module is used to calculate the deviation between the real-time temperature distribution of the hot stamping film in each cooling section and the set target cooling temperature, and to calculate the coolant flow rate adjustment index based on the deviation and the cooling capacity coefficient corresponding to each cooling section. The coolant flow rate adjustment index compensation module is used to calculate the cross temperature influence parameters between each cooling section based on the influence coefficient matrix established by the historical operation data of the hot stamping film production line according to the calculated coolant flow rate adjustment index, and to compensate the coolant flow rate adjustment index according to the cross temperature influence parameters to obtain the compensated coolant flow rate adjustment index. A coolant flow rate regulation module is used to adjust the coolant flow rate of each cooling section according to the compensated coolant flow rate adjustment index.

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