PLC parameter-based laminator oven temperature and air speed coordinated control method and system

Abstract

The application provides a laminating machine oven temperature and air speed cooperative control method and system based on PLC parameters. In the application, the original temperature distribution data is spatially and temporally gridded and encoded according to the material movement direction to generate a structured temperature space-time distribution matrix. Then, the matrix is corrected using material thickness fluctuation data to eliminate the influence of thickness changes on temperature measurement, thereby generating a heat response dynamic distribution atlas. Based on the gas flow data, the air flow speed distribution characteristics are extracted and matched with the heat transfer direction in the heat response dynamic distribution atlas. Further, the real-time change trend of the PLC parameters and the heat response dynamic distribution atlas is combined to generate a cooperative operation instruction containing temperature set value and air speed set value, thereby realizing adaptive optimization control of the oven temperature and air speed parameters. The technical scheme provided by the application can improve the efficiency and precision of laminating machine oven temperature and air speed cooperative control.

Description

TECHNICAL FIELD

[0001] The application relates to the field of laminating machine oven temperature and air speed collaborative control, and particularly relates to a laminating machine oven temperature and air speed collaborative control method and system based on PLC parameters. BACKGROUND

[0002] In cross-industry film coating processes, sudden changes in material thickness can significantly affect the heat transfer efficiency and drying uniformity within the laminating machine oven. For example, when the material switches from thin to thick, if the temperature and air speed within the laminating machine oven are not adjusted in time, it may cause problems such as bubbles, cracking or incomplete curing on the coating surface, directly affecting product quality and production efficiency. Therefore, a control method is needed that can sense the change in material thickness in real time and quickly collaboratively adjust the temperature and air speed within the laminating machine oven to ensure that materials of different thicknesses can obtain stable drying effects and coating performance during the coating process.

[0003] The current mainstream solution uses a closed-loop system based on a sensor network and feedback control. A high-precision thickness detection device is deployed at the entrance of the laminating machine oven to collect material thickness data in real time and transmit it to the central controller. The controller combines a pre-set process parameter model to dynamically adjust the power output of the heating modules within the laminating machine oven to match the heat demand differences caused by changes in material thickness. This solution decouples the control logic of temperature and air speed and introduces a multi-variable collaborative adjustment mechanism to achieve a preliminary response to material mutation scenarios.

[0004] Although the above-mentioned solution can achieve basic dynamic adjustment, its core relies on pre-set process parameter models and fixed control logic, making it difficult to cope with the nonlinear characteristics of material thickness mutations under complex working conditions. For example, when the material thickness mutation amplitude is large or the frequency is high, the system may have a response lag due to a long model update period, causing local temperature or air speed fluctuations within the laminating machine oven to exceed the process tolerance range. In addition, signal delays between sensors and actuators and environmental disturbances can also weaken control accuracy, affecting the quality consistency of the final product. SUMMARY

[0005] The application provides a laminating machine oven temperature and air speed collaborative control method and system based on PLC parameters to solve the problems of low efficiency and poor precision in the collaborative control of laminating machine oven temperature and air speed in the prior art.

[0006] In the first aspect, the application provides a laminating machine oven temperature and air speed collaborative control method based on PLC parameters, comprising:

[0007] During the process of processing materials in the laminating machine oven, material thickness fluctuation data, gas flow data, original temperature distribution data of the material surface, and PLC parameters are synchronously collected.

[0008] temporally and spatially grid the original temperature distribution data according to the moving direction of the material to generate a temperature spatio-temporal distribution matrix of the material surface;

[0009] correct the temperature spatio-temporal distribution matrix by using the material thickness fluctuation data, and generate a thermal response dynamic distribution atlas reflecting the change of the heating state of the material based on the corrected temperature spatio-temporal distribution matrix;

[0010] extract a gas flow velocity distribution feature based on the gas flow data, and spatially match the gas flow velocity distribution feature with the heat transfer direction in the thermal response dynamic distribution atlas to obtain an initial matching relationship between temperature and wind speed in the laminating machine drying tunnel;

[0011] based on the PLC parameters and the real-time change trend of the thermal response dynamic distribution atlas, the initial matching relationship is cooperatively compensated to generate a cooperative operation instruction including temperature set value and wind speed set value.

[0012] Optionally, the initial matching relationship between temperature and wind speed in the laminating machine drying tunnel is obtained by extracting a gas flow velocity distribution feature based on the gas flow data, and spatially matching the gas flow velocity distribution feature with the heat transfer direction in the thermal response dynamic distribution atlas, comprising:

[0013] analyzing the wind speed measurement value and the gas flow direction angle of each position in the laminating machine drying tunnel in the gas flow data, and spatially matching the wind speed measurement value and the gas flow direction angle to generate a gas flow velocity vector field;

[0014] extracting a gas flow velocity distribution feature containing the dominant gas flow direction and the boundary of the high-speed gas flow region from the gas flow velocity vector field, and identifying the corresponding heat transfer direction and heat transfer diffusion range in the thermal response dynamic distribution atlas based on the gas flow velocity distribution feature;

[0015] calculating the direction angle between the dominant gas flow direction and the heat transfer direction of each position in the laminating machine drying tunnel, and simultaneously analyzing the spatial overlap degree between the boundary of the high-speed gas flow region and the heat transfer diffusion range to obtain an analysis result;

[0016] based on the direction angle and the analysis result, dynamically setting the wind speed target parameter and the temperature target parameter of each position in the laminating machine drying tunnel;

[0017] correlating and mapping the wind speed target parameter and the temperature target parameter to generate the initial matching relationship between temperature and wind speed in the laminating machine drying tunnel.

[0018] Optionally, the spatial overlap degree analysis between the boundary of the high-speed gas flow region and the heat transfer diffusion range to obtain an analysis result comprises:

[0019] extracting a set of spatial coordinates of the high-speed airflow area boundary and a set of three-dimensional coordinates of the heat transfer diffusion range respectively, and performing spatial overlap matching on the set of spatial coordinates and the set of three-dimensional coordinates to generate a density distribution map of an overlap area;

[0020] based on the density distribution map, calculating an overlap index of the high-speed airflow area boundary and the heat transfer diffusion range, and associating the overlap index with a preset spatial influence weight coefficient to obtain an analysis result.

[0021] Optionally, the original temperature distribution data is spatio-temporally gridded and encoded according to the moving direction of the material to generate a temperature spatio-temporal distribution matrix of the material surface, including:

[0022] According to the moving speed of the material in the oven of the laminating machine, the time sampling interval is divided, and the temperature distribution data frame of the original temperature distribution data in the time sampling interval is extracted, and each temperature distribution data frame is spatio-temporally aligned along the moving direction of the material to construct a three-dimensional temperature data set;

[0023] In the three-dimensional temperature data set, grid regions are divided according to a preset spatial resolution, and each grid region is assigned a spatio-temporal coordinate identifier containing a time serial number and a spatial position code;

[0024] The temperature distribution data frame is associated and mapped with the spatio-temporal coordinate identifier to generate a temperature spatio-temporal distribution matrix of the material surface.

[0025] Optionally, the corrected temperature spatio-temporal distribution matrix is used to generate a thermal response dynamic distribution map reflecting the change of the heating state of the material, including:

[0026] The corrected temperature spatio-temporal distribution matrix is divided into continuous spatio-temporal regions, and the temperature change rate of adjacent spatio-temporal regions is calculated, and the spatio-temporal region with the temperature change rate exceeding a set threshold is defined as a heat conduction transition region;

[0027] The thickness mutation point in the material thickness fluctuation data is located in the spatio-temporal coordinate position in the corrected temperature spatio-temporal distribution matrix, and the spatio-temporal region within the preset range of the marker around the spatio-temporal coordinate position is defined as a heat conduction delay region;

[0028] The heat conduction transition region and the heat conduction delay region are superimposed to generate a set of thermal anomaly regions, and the boundary points with the same spatial position in the set of thermal anomaly regions are connected to obtain a dynamic heat transfer path;

[0029] The set of thermal anomaly regions and the dynamic heat transfer path are associated and generated to generate a thermal response dynamic distribution map.

[0030] Optionally, the connecting the boundary points with the same spatial position in the heat anomaly region set to obtain a dynamic heat transfer path comprises:

[0031] Filtering the boundary points with the same spatial position from the boundary point set of the heat anomaly region set, and sorting the filtered boundary points in time sequence to generate a boundary point sequence;

[0032] According to the boundary point sequence, the spatial displacement vector between adjacent boundary points is calculated, and the connection boundary points satisfying the preset connection condition are filtered based on the spatial displacement vector. The connection boundary points are spliced in time and space sequence to generate a dynamic heat transfer path.

[0033] Optionally, based on the real-time change trend of the PLC parameter and the heat response dynamic distribution map, the initial matching relationship is cooperatively compensated to generate a cooperative operation instruction including a temperature set value and a wind speed set value, which comprises:

[0034] Analyzing the current fluctuation amplitude of the PLC parameter within a preset sampling period. When the current fluctuation amplitude exceeds a preset threshold, a temperature compensation coefficient is generated according to the deviation of the current fluctuation amplitude from a preset reference current;

[0035] Tracking the movement trajectory of the heat accumulation area boundary in the heat response dynamic distribution map, and generating a wind speed compensation coefficient when the change rate of the movement trajectory exceeds a preset threshold;

[0036] Using the temperature compensation coefficient and the wind speed compensation coefficient to respectively associate and compensate the temperature target parameter and the wind speed target parameter in the initial matching relationship to obtain a compensated temperature value and a compensated wind speed value;

[0037] Respectively sorting the compensated temperature value and the compensated wind speed value according to the spatial position sequence in the oven of the laminating machine to obtain a temperature set value and a wind speed set value, and timestamp binding the temperature set value and the wind speed set value to generate a cooperative operation instruction.

[0038] In a second aspect, the application provides a laminating machine oven temperature and wind speed cooperative control system based on PLC parameters, comprising:

[0039] The acquisition module synchronously acquires material thickness fluctuation data, gas flow data, original temperature distribution data of the material surface, and PLC parameters during the process of the laminating machine oven processing the material;

[0040] The encoding module spatially and temporally encodes the original temperature distribution data according to the movement direction of the material to generate a temperature space-time distribution matrix of the material surface;

[0041] a correction module, correcting the temperature space-time distribution matrix by using the material thickness fluctuation data, and generating a thermal response dynamic distribution map reflecting the change of the material heating state based on the corrected temperature space-time distribution matrix;

[0042] a matching module, extracting a gas flow speed distribution feature based on the gas flow data, and performing spatial matching between the gas flow speed distribution feature and the heat transfer direction in the thermal response dynamic distribution map to obtain an initial matching relationship between the temperature and the air speed in the laminator oven;

[0043] a generation module, performing collaborative compensation on the initial matching relationship based on the PLC parameters and the real-time change trend of the thermal response dynamic distribution map to generate a collaborative operation instruction including temperature set value and air speed set value.

[0044] In the third aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement the laminator oven temperature and air speed collaborative control method based on PLC parameters as described in the first aspect.

[0045] In the fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program, and when the computer program is executed by a computer, a laminator oven temperature and air speed collaborative control method based on PLC parameters as described in the first aspect is implemented.

[0046] In the embodiment of the present application, in the process of processing the material in the laminator oven, the material thickness fluctuation data, the gas flow data, the original temperature distribution data of the material surface and the PLC parameters are synchronously collected; the original temperature distribution data is space-time grid coded according to the moving direction of the material to generate a temperature space-time distribution matrix of the material surface; the temperature space-time distribution matrix is corrected by using the material thickness fluctuation data, and a thermal response dynamic distribution map reflecting the change of the material heating state is generated based on the corrected temperature space-time distribution matrix; the gas flow speed distribution feature is extracted based on the gas flow data, and spatial matching is performed between the gas flow speed distribution feature and the heat transfer direction in the thermal response dynamic distribution map to obtain an initial matching relationship between the temperature and the air speed in the laminator oven; the initial matching relationship is collaboratively compensated based on the PLC parameters and the real-time change trend of the thermal response dynamic distribution map to generate a collaborative operation instruction including temperature set value and air speed set value.

[0047] The technical scheme of the present application has the following beneficial effects:

[0048] The application realizes real-time synchronous acquisition of multi-source data, provides complete input basis for subsequent dynamic control, and avoids analysis deviation caused by data acquisition delay. The temperature data is converted into a spatiotemporal continuous matrix structure, the dynamic change rule of the material surface temperature in the movement process is quantified, and the spatiotemporal accuracy of the temperature field analysis is improved. The interference of uneven material thickness on temperature measurement is eliminated, the real heating state of the material is accurately restored, and the physical consistency of the thermal response analysis is ensured. A physical correlation model of airflow movement and heat transfer in the drying channel is established, the initial coupling mechanism of the temperature field and the wind speed field is revealed, and a theoretical basis is provided for collaborative control. The programmable logic controller parameter dynamic optimization wind temperature matching relationship is combined to generate anti-disturbance collaborative operation instructions, and the self-adaptive ability of the system to working condition fluctuations is improved.

[0049] Further, the airflow velocity vector field is generated by analyzing the gas flow data, the dominant airflow direction and the high-speed airflow area boundary are extracted, and the airflow velocity vector field is matched with the heat transfer direction and diffusion range in the thermal response dynamic distribution map in space. The direction angle is calculated and the spatial overlap degree is analyzed. According to this, the wind speed and temperature target parameters at each position are dynamically set, and finally the initial matching relationship of temperature and wind speed is generated. By quantifying the spatial geometric relationship between airflow and heat transfer, the physical action area of temperature and wind cooperation is accurately positioned, the spatial differentiated configuration of parameter setting is realized, the local overheating or underheating problem caused by global unified control is avoided, and a high-precision spatial reference for the initial matching relationship is provided.

[0050] These aspects or other aspects of the application will be more apparent in the following description of the embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can also be obtained by those skilled in the art without any creative effort.

[0052] Figure 1 A flow chart of a temperature and wind speed collaborative control method for a laminating machine drying channel based on PLC parameters provided by the application is shown;

[0053] Figure 2 A structural schematic diagram of a temperature and wind speed collaborative control system for a laminating machine drying channel based on PLC parameters provided by the application is shown;

[0054] Figure 3 A structural schematic diagram of a computing device provided by the application is shown. DETAILED DESCRIPTION

[0055] In order to enable personnel in the technical field to better understand the scheme of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application.

[0056] In some of the processes described in the specification and claims of the application and in the above description, multiple operations are described in a specific order. However, it should be clear that unless otherwise specifically stated, these operations can be performed in any order, or in parallel, and that the ordering of operations as described is merely an example and is not limiting. Additionally, some of the processes described in the specification and claims of the application and in the above description can include more, or fewer, operations than those specifically described. Furthermore, operations described herein can be performed in serial, in parallel, or in one or more other orders. As used herein, "first," "second," etc. are used only to identify different messages, devices, modules, etc. and do not require or imply these different messages, devices, modules, etc. to be in any specific order or to be of any specific type.

[0057] In cross-industry film coating processes, material thickness mutations pose significant challenges to heat transfer efficiency and drying uniformity within the laminator oven. Although existing mainstream solutions achieve basic dynamic adjustment through sensor networks and closed-loop control systems, they rely on preset process parameter models and fixed control logic, making it difficult to address the nonlinear characteristics of material thickness mutations. For example, when the material thickness mutation amplitude is large or the frequency is high, the system exhibits response lag due to the long model update period, resulting in local temperature or air speed fluctuations within the oven exceeding the process tolerance range. In addition, signal delays between sensors and actuators and environmental disturbances further weaken control accuracy, ultimately affecting product quality consistency. Such problems are particularly prominent under complex working conditions, necessitating a control method that can perceive material property changes in real time and rapidly coordinate temperature and air speed adjustments.

[0058] In view of the above defects, the application provides a lamination machine oven temperature and air speed collaborative control method based on PLC parameters. The method constructs a multi-dimensional data-driven dynamic control framework by collecting material thickness fluctuation, gas flow, original temperature distribution and PLC parameters. First, the temperature data is spatially and temporally gridded according to the material moving direction to generate a high-precision temperature space-time distribution matrix, and the matrix is corrected in combination with the thickness fluctuation data to eliminate the interference of thickness difference on the thermal response. Second, based on the spatial matching relationship between the gas flow speed distribution characteristics and the thermal response atlas, an initial matching model of temperature and air speed is dynamically established. Finally, through the collaborative compensation of PLC parameters and real-time change trend of thermal response, adaptive temperature and air speed collaborative operation instructions are generated. The scheme breaks through the limitations of traditional preset models, realizes real-time response and nonlinear adjustment to the material thickness mutation scene, significantly improves the control accuracy and stability of the oven system, thereby effectively solving the product quality problems caused by response lag and control decoupling, and ensuring the drying effect and coating performance consistency of materials of different thicknesses in the coating process.

[0059] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0060] Figure 1 A flowchart of a lamination machine oven temperature and air speed collaborative control method based on PLC parameters is provided for the embodiments of the application, as shown in Figure 1 The method comprises the following steps.

[0061] 101. In the process of processing materials in the lamination machine oven, the material thickness fluctuation data, gas flow data, original temperature distribution data of the material surface and PLC parameters are collected synchronously.

[0062] In this step, the lamination machine oven processing materials refers to the materials and related operations involved in the process of drying and curing the plastic film coated with adhesive and printed matter in the oven part of the lamination machine.

[0063] The material thickness fluctuation data refers to the thickness change caused by uneven thickness or process fluctuation during the movement of the material, including the thickness measurement value in time sequence.

[0064] The gas flow data refers to the speed, direction and distribution state of the gas flow in the oven, reflecting the influence of the gas flow on heat transfer.

[0065] Raw temperature distribution data refers to the real-time temperature measurement value of the material surface without being disturbed by thickness fluctuations. It is usually obtained by an infrared thermal imager and covers the spatial coordinates of the material surface.

[0066] PLC parameters refer to the process parameters stored in the programmable logic controller, including heating module power, wind speed control threshold, time delay compensation coefficient, etc., which are used to dynamically adjust system behavior.

[0067] In this embodiment, during the material processing in the drying tunnel of the laminating machine, firstly, a laser thickness gauge is used to collect real-time data on material thickness fluctuations, recording the thickness differences on the material surface caused by process variations. Simultaneously, an array of wind speed sensors is deployed to monitor gas flow data within the drying tunnel, acquiring airflow speed and direction information. Subsequently, an infrared thermal imager captures the original temperature distribution data of the material surface, establishing a correspondence between spatial coordinates and temperature values. Furthermore, a programmable logic controller (PLC) module reads current PLC parameters in real-time, including heating power and wind speed thresholds, providing basic input for subsequent analysis.

[0068] During the transition from thin to thick materials, a laser thickness gauge detects thickness fluctuations, an anemometer records a decrease in airflow velocity in the middle of the drying tunnel, and an infrared thermal imager captures localized temperature increases on the material surface. The PLC module reads current process requirements in real time and adjusts the heating module power accordingly. All data is integrated into a timestamp-aligned structured dataset via a synchronous triggering mechanism, including thickness changes, airflow velocity direction, and temperature distribution, serving as the foundational input for subsequent analysis.

[0069] 102. The original temperature distribution data is spatiotemporally gridded and encoded according to the direction of material movement to generate a spatiotemporal temperature distribution matrix on the material surface;

[0070] In this step, the direction of movement is a physical quantity that describes the tendency of the material to move, and it is usually consistent with the direction of velocity.

[0071] Spatiotemporal gridding coding refers to dividing the material into discrete spatial grids according to the direction of material movement, and recording the temperature value of each grid at time intervals to form a two-dimensional matrix.

[0072] The material surface refers to the outermost area of ​​a material that comes into contact with its surrounding environment. Its structure and physical properties differ significantly from those of the material's internal structure.

[0073] A temperature spatiotemporal distribution matrix refers to a matrix where rows represent time steps, columns represent spatial grids, and each element is the temperature value at the corresponding time and location. It is used to analyze the variation of temperature with time and space.

[0074] In this embodiment, the original temperature distribution data of the material surface is first divided into discrete spatial grids according to the material's movement direction, with each grid corresponding to a specific temperature value. Missing points are then filled in using a linear interpolation algorithm to form a two-dimensional matrix. The rows of the matrix represent time steps, the columns represent spatial grids, and each element represents the temperature value at the corresponding time and location. During the time-series mapping process, the grid density is dynamically adjusted based on the material's movement speed to ensure that the temperature change trend is consistent with the actual process conditions. Finally, the data from all time steps and spatial grids are integrated to generate a spatiotemporal temperature distribution matrix of the material surface, which is used for subsequent thickness correction and thermal response analysis.

[0075] During the material processing in the laminating machine's drying tunnel, the raw temperature distribution data of the material surface along the moving direction is first acquired in real time using an infrared thermal imager. For example, when the material moves at a certain speed, the thermal imager records the temperature value at each location on the material surface once per second. By dividing the material width into equally spaced spatial grids and recording temperature changes according to time steps, a two-dimensional temperature spatiotemporal distribution matrix is ​​generated. For example, the temperature of the front grid and the temperature of the back grid in the first second are interpolated using a linear interpolation algorithm to fill in missing points, forming a continuous temperature distribution. During the time series mapping process, the grid density is dynamically adjusted according to the material's moving speed to ensure that the temperature gradient is consistent with the actual process conditions.

[0076] 103. The temperature spatiotemporal distribution matrix is ​​corrected using the material thickness fluctuation data, and a dynamic distribution map of thermal response reflecting the changes in the material's heating state is generated based on the corrected temperature spatiotemporal distribution matrix.

[0077] In this step, the corrected temperature spatiotemporal distribution matrix refers to the two-dimensional matrix that is recalculated and generated after eliminating the influence of material thickness fluctuations on the temperature distribution.

[0078] Material thermal state change refers to the intuitive display of the temperature distribution, heat transfer direction and evolution of abnormal areas of the material during processing through dynamic distribution maps of thermal response.

[0079] The dynamic distribution map of thermal response refers to a visual map that reflects the change of the material's thermal state over time, including features such as temperature gradient, hot spot region, and cooling rate.

[0080] In the embodiments of the present application, first, based on the material thickness fluctuation data, the influence of thickness change on temperature distribution is calculated through a heat conduction model to generate a correction coefficient. Each element in the original temperature space-time distribution matrix is associated with the correction coefficient to eliminate the temperature deviation caused by thickness difference and form a corrected temperature space-time distribution matrix. Subsequently, the corrected temperature space-time distribution matrix is dynamically simulated by using a thermodynamic simulation software to generate a heat response dynamic distribution map. The heat response dynamic distribution map marks the heat transfer direction, hot spot area, cooling rate and other characteristics, and directly reflects the change law of the material heating state. The heat response dynamic distribution map provides a key basis for the subsequent.

[0081] In the process of treating materials in the laminating machine drying channel, based on the material thickness fluctuation data collected by the laser thickness gauge, the influence of thickness change on temperature distribution is calculated through a heat conduction model to generate a correction coefficient. Each element in the original temperature space-time distribution matrix is multiplied by the correction coefficient to generate a corrected matrix, which eliminates the temperature deviation caused by thickness difference. The corrected matrix is dynamically simulated by using a thermodynamic simulation software to generate a heat response dynamic distribution map, which marks the diffusion from the high temperature zone to the low temperature zone and the local overheating. If the local temperature abnormally rises due to sudden thickness increase in a certain area, the map will be marked as a "high thermal resistance area", prompting the air flow disturbance to be adjusted to accelerate heat dissipation.

[0082] 104、Based on the gas flow data, the gas flow velocity distribution characteristics are extracted, and the gas flow velocity distribution characteristics are spatially matched with the heat transfer direction in the heat response dynamic distribution map to obtain an initial matching relationship between the temperature and the wind speed in the laminating machine drying channel;

[0083] In this step, the gas flow velocity distribution characteristics refer to the dominant gas flow direction and high-speed gas flow boundary extracted from the gas flow data.

[0084] The heat transfer direction refers to the vector direction of the thermal energy flow on the material surface, which is determined by the temperature gradient in the heat response dynamic distribution map.

[0085] Spatial matching refers to the calculation of the degree of overlap between the vector field analysis and the heat transfer direction of the heat response map to determine the enhancement or inhibition effect of the gas flow on heat transfer.

[0086] The initial matching relationship refers to the spatial correlation model of the gas flow velocity distribution characteristics and the heat transfer direction, which determines the enhancement or inhibition effect of the gas flow on heat transfer through vector field analysis algorithm.

[0087] In the embodiments of the present application, first, the wind speed measurement values and airflow direction angles of each position in the oven of the laminating machine in the gas flow data are analyzed, and the wind speed and direction are converted into a two-dimensional vector field through Euler coordinate system analysis, each vector containing velocity magnitude and direction information. Subsequently, the dominant airflow direction and high-speed airflow region boundary are extracted from the two-dimensional vector field, and the airflow velocity distribution characteristics of the airflow distribution are identified using a spatial statistical analysis algorithm. Based on the airflow velocity distribution characteristics, combined with the heat transfer direction and diffusion range in the heat response dynamic distribution map, the angle between the airflow direction and the heat transfer direction is determined through a vector angle calculation algorithm, and the spatial overlap degree of the high-speed airflow boundary and the heat diffusion range is evaluated using a region overlap analysis technique. According to the analysis results of the angle and the overlap degree, the target parameters of wind speed and temperature at each position in the oven are dynamically set, and finally the wind speed and temperature parameters are integrated into the initial matching relationship between temperature and wind speed in the oven of the laminating machine through a correlation mapping algorithm, providing a basic model for subsequent collaborative control.

[0088] In the process of processing materials in the oven of the laminating machine, the gas flow data is converted into a two-dimensional vector field after being collected by an array of wind speed sensors, each vector containing velocity magnitude and direction angle. Through Euler coordinate system analysis, the dominant airflow direction and high-speed airflow region boundary are extracted. Combined with the heat transfer direction and diffusion range in the heat response map, the angle between the airflow vector and the heat transfer direction is calculated, and the spatial overlap degree of the high-speed airflow boundary and the heat diffusion range is evaluated using a region overlap analysis technique. If the angle between the airflow direction and the heat transfer direction is small, it is determined to be a strong collaborative relationship; if the overlap degree exceeds half, the wind speed needs to be adjusted to enhance the heat transfer efficiency. Based on the analysis results, the target parameters of wind speed are dynamically set, and are correlated and mapped with the temperature distribution characteristics in the heat response map to generate the initial matching relationship between temperature and wind speed.

[0089] 105、Based on the real-time change trend of the PLC parameters and the heat response dynamic distribution map, the initial matching relationship is collaboratively compensated to generate a collaborative operation instruction including temperature set value and wind speed set value.

[0090] In this step, the real-time change trend refers to the quantitative analysis of the instantaneous change law of the key parameters in the heat response dynamic distribution map, which is usually extracted by a time series prediction algorithm in the future short time.

[0091] Temperature set value refers to the target temperature value specified by the user for the process in the industrial control system.

[0092] Wind speed set value refers to the target value specified by the user for the airflow velocity in the industrial control system, which is usually used to adjust ventilation, heat dissipation or material conveying efficiency.

[0093] Collaborative compensation refers to dynamically adjusting the temperature and wind speed set values in combination with the real-time change trend of the PLC parameters and the heat response map to ensure that the system adapts to complex working conditions.

[0094] The cooperative operation instruction includes temperature set value and air speed set value, which are output to the actuator by the PLC.

[0095] In the embodiment of the present application, firstly, the heating module power, air speed threshold and time delay compensation coefficient set in the current process in the PLC parameter are read, and the time series prediction algorithm is used to analyze the thermal response change rule in the future short time by combining the real-time change trend of the thermal response dynamic distribution map. Based on the correlation model of temperature and air speed in the initial matching relationship, the air speed target parameter and the temperature target parameter are dynamically compensated by the feedback control algorithm, for example, when the thermal response map shows that the temperature in a certain area is continuously higher than the set value, the air speed in this area is automatically reduced to reduce heat dissipation, or the heating power is increased to maintain temperature balance. The compensated parameters generate the cooperative operation instruction of temperature set value and air speed set value through the optimization algorithm, and the closed-loop cooperative regulation of temperature and air speed in the oven of the laminating machine is completed.

[0096] In the process of processing materials in the oven of the laminating machine, the time series prediction algorithm is used to analyze the thermal response change rule in the future short time by combining the real-time change trend of the PLC parameter and the thermal response map. If it is predicted that the temperature on the left side of the oven will decrease, the heating power in this area is increased and the air speed is reduced for compensation. The correlation model of temperature and air speed in the initial matching relationship is dynamically adjusted by the feedback control algorithm to ensure that the parameters adapt to complex working conditions. The compensated parameters generate the cooperative operation instruction through the optimization algorithm. The instruction is output to the heater and fan actuator through the PLC control system to complete the closed-loop cooperative regulation of temperature and air speed in the oven of the laminating machine.

[0097] In summary, steps 101 to 105 realize the dynamic cooperative control of temperature and air speed in the oven of the laminating machine by synchronously collecting material thickness, air flow, temperature and PLC parameters, combining space-time grid encoding, thickness correction model, spatial matching analysis of air flow and thermal response, and cooperative compensation mechanism based on PLC parameters. Its significant advantage is to shorten the system response time and quickly respond to material thickness mutation scenarios. Through the spatial matching algorithm of air flow characteristics and thermal response, the temperature control accuracy is significantly improved and the air speed matching error is reduced. The dynamic adjustment mechanism based on PLC parameters can adapt to diversified process requirements, reduce manual intervention and improve production efficiency, while eliminating the interference of thickness fluctuation on heat transfer, effectively reducing the coating defect rate and ensuring product quality consistency.

[0098] To solve the complexity problem of temperature and airflow coordination control in the laminating machine drying channel, the scheme generates an airflow velocity vector field by analyzing gas flow data, identifies heat transfer direction and diffusion range by combining a dynamic heat response distribution map, calculates the angle between the airflow direction and the heat transfer direction and the spatial overlap between the high-speed airflow area and the heat diffusion range, dynamically sets the target parameters of wind speed and temperature, and generates the initial matching relationship between temperature and wind speed in the laminating machine drying channel through correlation mapping, to realize spatial coordination optimization of airflow and heat transfer characteristics. In some embodiments, the step 104 includes:

[0099] 201. Analyzing the wind speed measurement values and airflow direction angles at each position in the laminating machine drying channel in the gas flow data, and spatially matching the wind speed measurement values and the airflow direction angles to generate an airflow velocity vector field;

[0100] In step 201, the wind speed measurement value refers to the air flow speed value measured by the wind speed sensor at each position in the laminating machine drying channel. Spatial matching refers to mapping discrete wind speed measurement values and airflow direction angles into the spatial coordinate system of the drying channel to form a continuous vector field. The airflow direction angle refers to the angle between the airflow flow direction and the reference coordinate system. The airflow velocity vector field refers to a two-dimensional or three-dimensional spatial distribution map composed of wind speed vectors, used to describe the airflow motion state.

[0101] In the embodiments of the present application, first, the wind speed measurement values and airflow direction angles at each position are collected by the wind speed sensor and direction sensor arranged in the laminating machine drying channel. Then, the discrete measurement data is mapped into the three-dimensional coordinate system of the laminating machine drying channel using a spatial interpolation algorithm to generate continuous spatial distribution data. Next, the wind speed measurement value and airflow direction angle of each spatial point are converted into a velocity vector in the Cartesian coordinate system, and finally the airflow velocity vector field is synthesized. The airflow velocity vector field completely describes the motion state of the airflow in the drying channel, providing basic data support for subsequent analysis.

[0102] 202. Extracting airflow velocity distribution features including the dominant airflow direction and high-speed airflow area boundary from the airflow velocity vector field, and identifying the corresponding heat transfer direction and heat transfer diffusion range in the dynamic heat response distribution map based on the airflow velocity distribution features;

[0103] In step 202, the dominant airflow direction refers to the main direction of airflow movement in the oven, which is identified by cluster analysis of high-frequency airflow directions. The high-speed airflow region boundary refers to the boundary where the airflow speed is significantly higher than the surrounding area, which is extracted by an edge detection algorithm. The airflow speed distribution feature refers to the distribution of airflow speed and direction at each point in a specific space or region, which is one of the core parameters for describing the state of airflow movement. The heat transfer direction refers to the direction of heat flow determined by the temperature gradient, which is calculated by the Fourier law. The heat transfer diffusion range refers to the spatial range of heat diffusion from high-temperature regions to low-temperature regions, which is covered by the heat energy migration driven by the temperature gradient.

[0104] In the embodiment of the present application, in the airflow velocity vector field, first, the dominant airflow direction is identified by cluster analysis, that is, the high-frequency airflow movement trend. Then, the edge detection algorithm is used to extract the airflow speed distribution feature of the high-speed airflow region boundary. At the same time, the temperature gradient of the material surface is calculated by combining the infrared thermal imaging data and the heat conduction model generated heat response dynamic distribution map, and the heat transfer direction and heat transfer diffusion range are determined. Provide the basis for subsequent analysis.

[0105] 203, calculate the direction angle between the dominant airflow direction and the heat transfer direction at each position in the laminating machine oven, and simultaneously perform spatial overlap analysis on the high-speed airflow region boundary and the heat transfer diffusion range to obtain an analysis result;

[0106] In step 203, the direction angle refers to the angle difference between the dominant airflow direction and the heat transfer direction, which is calculated by vector dot product. Spatial overlap analysis refers to evaluating the spatial intersection degree of the high-speed airflow region boundary and the heat diffusion range, which is quantified by Euclidean distance or intersection area ratio. The analysis result refers to the conclusion obtained by data processing and modeling, including the angle between the dominant airflow direction and the heat transfer direction, the overlap degree of the high-speed airflow region and the heat diffusion range, etc.

[0107] In the embodiment of the present application, first, for each spatial point in the laminating machine oven, the direction angle between the dominant airflow direction and the heat transfer direction is calculated by vector dot product to generate an angle distribution map. Then, through spatial intersection analysis, the overlap degree of the high-speed airflow region boundary and the heat transfer diffusion range is evaluated. For example, if the overlap area ratio is high, it indicates that the airflow and heat transfer are highly coordinated; otherwise, the control strategy needs to be adjusted. Finally, the angle and overlap degree results are integrated into the analysis result to guide subsequent parameter optimization.

[0108] 204, based on the direction angle and the analysis result, dynamically set the wind speed target parameter and the temperature target parameter at each position in the laminating machine oven;

[0109] In step 204, dynamic setting is the process of automatically adjusting system parameters based on real-time analysis results to achieve synergistic optimization of airflow and heat transfer. The wind speed target parameter refers to the target airflow velocity value dynamically adjusted based on the analysis results of the included angle and overlap. The temperature target parameter refers to the target temperature value dynamically set based on the thermal response trend.

[0110] In this embodiment, firstly, based on the directional angle between the dominant airflow direction and the heat transfer direction, and the spatial overlap analysis results between the boundary of the high-speed airflow region and the heat transfer diffusion range, regions with synergistic differences between the dominant airflow direction and the heat transfer direction in the laminating machine's drying tunnel are identified. For regions with large directional angles and low overlap, a proportional-integral-derivative (PID) control algorithm is used to dynamically adjust the wind speed target parameter. By reducing the wind speed target parameter, the heat retention effect is enhanced. Simultaneously, a linear programming model is used to optimize the temperature target parameter, increasing it to compensate for insufficient heat dissipation. For regions with small directional angles and high overlap, the original wind speed target parameter is kept unchanged, and the temperature target parameter is appropriately reduced to avoid overheating. This provides a data foundation for subsequent correlation mapping.

[0111] 205. Associate and map the target wind speed parameter and the target temperature parameter to generate an initial matching relationship between temperature and wind speed in the drying tunnel of the laminating machine.

[0112] In step 205, the correlation mapping refers to establishing a dynamic correlation model between the wind speed target parameter and the temperature target parameter to ensure their coordinated optimization. The initial matching relationship refers to the combination rules of the wind speed and temperature target parameters, which are used to guide the subsequent closed-loop control strategy.

[0113] In this embodiment, firstly, the target wind speed and temperature parameters are input into a multiple linear regression model to analyze their coupling relationship. By fitting historical process data, a dynamic mapping function between the target wind speed and temperature parameters is established, and mapping rules are generated. Subsequently, the mapping rules are written into the parameter library of the programmable logic controller (PLC) to form an initial matching relationship between temperature and wind speed. For example, when the target wind speed value in the middle region of the drying tunnel is adjusted, the corresponding target temperature value automatically matches the corresponding degree Celsius. When the target wind speed value in the inlet region is maintained, the target temperature value automatically matches the corresponding degree Celsius. This ensures uniform heating of the material and production stability.

[0114] Here is a specific example:

[0115] In the process of treating plastic film material in the laminating machine oven, in order to ensure uniform heating of the material and avoid local overheating deformation, first, by arranging multiple air speed sensors and a few direction sensors in the oven, the air flow speed and direction data are collected to generate an air flow speed vector field, for example, the air flow speed and direction in the middle region of the oven are in the horizontal direction. Subsequently, through cluster analysis, it is found that the dominant air flow direction at the entrance of the oven is horizontal, and the high-speed air flow region boundary covers about one-third of the entrance area, and combined with the dynamic distribution map of thermal response, it is shown that the high temperature area is mainly concentrated in the middle of the oven and the heat transfer direction is downstream. Based on this, the angle between the air flow direction and the heat transfer direction at the entrance and the spatial overlap degree are further calculated, as well as the angle and overlap degree of the middle region. According to the analysis results, the target values of wind speed and temperature in the middle region are dynamically adjusted to increase the temperature target value, so as to enhance the heat retention effect. At the same time, the target values of wind speed and temperature in the entrance region are kept down to maintain the efficient cooperation of air flow and heat transfer. Finally, by establishing the mapping relationship between the target parameters of wind speed and temperature, the dynamic matching rule is written into the PLC control system to realize the real-time cooperative optimization control of air flow and temperature in the oven.

[0116] In summary, steps 201 to 205 accurately identify the matching relationship between air flow and heat transfer through the cooperative analysis of air flow vector field and thermal response map, dynamically adjust the target parameters of wind speed and temperature, and significantly improve the heating uniformity of the material in the oven and the energy utilization efficiency. At the same time, through the establishment of the initial matching relationship, the adaptive optimization of the process parameters is realized, the need for manual intervention is reduced, and the production stability and product quality are improved.

[0117] In order to solve the problem of insufficient cooperation between air flow and heat transfer in the laminating machine oven, the scheme matches the spatial coordinate set of the high-speed air flow region boundary and the heat transfer diffusion range, generates a density distribution map and calculates the overlap index, and combines the preset spatial influence weight to quantitatively analyze the results, providing quantitative basis for the spatial matching of air flow and heat transfer, supporting the accuracy of subsequent dynamic parameter adjustment. In some embodiments, step 203 matches the spatial overlap degree of the high-speed air flow region boundary and the heat transfer diffusion range, and obtains an analysis result, including:

[0118] 301、Respectively extract the spatial coordinate set of the high-speed air flow region boundary and the three-dimensional coordinate set of the heat transfer diffusion range, and perform spatial overlap matching on the spatial coordinate set and the three-dimensional coordinate set to generate a density distribution map of the overlap region;

[0119] In step 301, the spatial coordinate set of the high-speed airflow area boundary refers to a set of three-dimensional coordinate points of the high-speed airflow area boundary extracted by a sensor or simulation data, used to describe the boundary range of the airflow speed significantly higher than the surrounding area. The three-dimensional coordinate set of the heat transfer diffusion range refers to a set of three-dimensional coordinate points of the heat diffusion area obtained by a thermal imaging or temperature sensor, used to describe the spatial range of heat diffusion from a high-temperature area to a low-temperature area. Spatial overlap matching refers to comparing the coordinate sets of the airflow boundary and the heat diffusion range through a spatial analysis algorithm to identify the spatial overlap area of the two. The density distribution map refers to a density distribution of the overlap area in the form of a density map, reflecting the concentration degree of the synergy of airflow and heat transfer.

[0120] In the embodiments of the present application, first, the wind speed data of the high-speed airflow area boundary in the drying tunnel of the laminating machine is obtained through an ultrasonic wind speed sensor or computational fluid dynamics simulation, and the area with a wind speed significantly higher than the threshold is screened out. The edge detection algorithm is used to identify the boundary contour to generate the spatial coordinate set of the high-speed airflow area boundary. Subsequently, the temperature data of the heat transfer diffusion range is collected through an infrared thermal imager or a temperature sensor network, and the area with a significant temperature gradient is screened out. The diffusion range is calculated in combination with a heat diffusion model to generate the three-dimensional coordinate set of the heat transfer diffusion range. Then, the two coordinate sets are imported into a spatial database, and the overlap area of the two is calculated through spatial intersection operation. Finally, the kernel density estimation is performed on the coordinate points of the overlap area, the data is smoothed using a Gaussian kernel function, and the density distribution map of the overlap area is generated.

[0121] 302, based on the density distribution map, calculate the overlap index of the high-speed airflow area boundary and the heat transfer diffusion range, associate the overlap index with the preset spatial influence weight coefficient to obtain an analysis result.

[0122] In step 302, the overlap index refers to an index quantifying the degree of spatial overlap between the high-speed airflow area boundary and the heat transfer diffusion range, and a larger value range indicates more significant overlap. The preset spatial influence weight coefficient refers to a weight parameter set according to material properties and process requirements, used to adjust the influence of the overlap index on the final analysis result.

[0123] In the embodiments of the present application, first, the area and volume data of the overlap area are extracted from the density distribution map, the overlap index is calculated in combination with the area of the minimum circumscribed rectangle, and the concentration degree of the synergy of the high-speed airflow area boundary and the heat transfer diffusion range is reflected. Subsequently, the preset spatial influence weight coefficient is set according to the material properties, and the value of the overlap index is adjusted through weighted calculation. For example, if the material is highly heat-sensitive, the weight coefficient is increased to strengthen the inhibition effect on the overlap area. Finally, the weighted overlap index is associated with the process parameters to generate an analysis result, guiding the dynamic adjustment of the airflow speed and temperature distribution in the drying tunnel to achieve the synergy optimization of airflow and heat transfer.

[0124] The following is a specific example:

[0125] During the process of treating plastic film in the laminating machine oven, a high-speed airflow area is detected at the entrance of the oven by an ultrasonic wind speed sensor, and the wind speed reaches a high value. Then the boundary coordinate set of this area is extracted. At the same time, the heat diffusion range of the high-temperature area in the middle of the oven is obtained by an infrared thermal imager, and the corresponding three-dimensional coordinate set is generated. Through spatial overlap matching analysis, it is found that there is a certain proportion of overlapping area between the entrance high-speed airflow and the middle high-temperature area, and the density distribution diagram shows that the overlapping part is mainly concentrated near the right wall surface of the oven. Based on this, the overlap index is calculated, and the spatial influence weight coefficient is set according to the heat-sensitive characteristics of the plastic film. The final analysis result shows that the current airflow and heat transfer have low synergy. According to this conclusion, the process parameters near the right wall surface are dynamically adjusted, the target value of wind speed is reduced from a high value to a low value, and the target value of temperature is moderately increased, so as to balance the airflow disturbance and heat transfer efficiency, and optimize the material heating uniformity.

[0126] In summary, steps 301 to 302 precisely locate the difference area of the synergy between airflow and heat transfer in the oven by extracting the spatial coordinate set of airflow and heat transfer, combining density distribution diagram and overlap index analysis. After dynamically adjusting the wind speed and temperature parameters, the material heating uniformity can be significantly improved, the material deformation caused by local overheating or insufficient heat dissipation can be reduced, and the energy consumption can be reduced, improving the production stability and product quality.

[0127] In order to solve the problem that the space-time distribution of material surface temperature in the laminating machine oven is difficult to accurately model, the scheme divides the time sampling interval according to the material moving speed, aligns the original temperature distribution data in space-time along the material moving direction, constructs a three-dimensional temperature data set, divides the grid area according to the spatial resolution, and generates a temperature space-time distribution matrix after giving space-time coordinate identification and correlation mapping, realizing the space-time structured expression of material surface temperature data. In some embodiments, the step 102 of space-time gridding encoding the original temperature distribution data along the moving direction of the material to generate a temperature space-time distribution matrix of the material surface includes:

[0128] 401、According to the moving speed of the material in the laminating machine oven, the time sampling interval is divided, and the temperature distribution data frame of the original temperature distribution data in the time sampling interval is extracted. Align the temperature distribution data frame in space-time along the moving direction of the material, construct a three-dimensional temperature data set;

[0129] In step 401, the moving speed of the material refers to the linear motion speed of the material in the conveying direction of the oven, which is used to dynamically divide the time sampling interval. The time sampling interval refers to the sampling time calculated according to the material moving speed and the target resolution, which ensures the continuity of the temperature data in the material moving direction. The temperature distribution data frame refers to a set of spatial distribution data of the material surface temperature at a specific time point. The space-time alignment refers to the spatial position calibration of the temperature data frames at different time points in the material moving direction, which eliminates the offset error caused by material movement. The three-dimensional temperature data set refers to a multi-dimensional data set containing time series and spatial coordinates, which is used to characterize the variation law of the material surface temperature with time and space.

[0130] In the embodiments of the present application, first, the time sampling interval is calculated according to the moving speed of the material in the oven. For example, if the material moves at a high speed, the sampling interval is shortened to ensure continuity. Through the infrared thermal imager or temperature sensor network, the original temperature distribution data of the material surface is obtained at the time sampling interval, and the temperature distribution data frame corresponding to each time point is extracted. Then, the displacement between adjacent temperature distribution data frames is identified along the moving direction of the material by using the edge detection algorithm, and the temperature distribution data frames are translated and calibrated by using the linear interpolation algorithm to eliminate the spatial offset caused by material movement. Finally, all the calibrated temperature distribution data frames are superimposed to construct a three-dimensional temperature data set containing time series and spatial coordinates.

[0131] 402、In the three-dimensional temperature data set, grid regions are divided according to a preset spatial resolution, and a space-time coordinate identifier containing a time serial number and a spatial position code is assigned to each grid region;

[0132] In step 402, the preset spatial resolution refers to the minimum size of the divided grid region, which is used to quantify the spatial position information. The grid region refers to a regular cubic unit divided according to the spatial resolution, which covers a local area of the material surface. The spatial position code refers to a technology that converts the position information in the physical space into a digital or string representation that can be processed by a computer. The space-time coordinate identifier refers to a unique identifier containing a time serial number and a spatial position code, which is used to locate the grid region.

[0133] In the embodiments of the present application, first, on the basis of the three-dimensional temperature data set, a regular grid division algorithm is used to uniformly divide the two-dimensional space of the material surface into rectangular grid units, and the size of each grid region is determined by the preset spatial resolution. Then, a unique space-time coordinate identifier is assigned to each grid region. The space-time coordinate identifier contains a time serial number and a spatial position code. The time serial number corresponds to the data frame of each time point in the three-dimensional temperature data set, which is used to mark the time attribute of the data; the spatial position code is generated based on the coding rule, which uniquely identifies the spatial position of the grid unit by converting the geographical coordinates of the grid unit into a one-dimensional string. Index support is provided for subsequent data association.

[0134] 403、correlate the temperature distribution data frames with the spatiotemporal coordinate identifiers to generate a temperature spatiotemporal distribution matrix of the material surface.

[0135] In step 403, the correlation mapping refers to binding the temperature values in the temperature distribution data frames with the spatiotemporal coordinate identifiers of the grid regions to establish a data indexing relationship. The temperature spatiotemporal distribution matrix refers to a multi-dimensional matrix with grid regions as units, time sequence numbers as rows, and spatial position codes as columns, used to store temperature values.

[0136] In the embodiments of the present application, first, the spatial coordinates and temperature values of each pixel point in each temperature distribution data frame are extracted. Then, the grid cell corresponding to the spatial coordinates is found according to the grid region, and its spatiotemporal coordinate identifier is obtained. Next, the temperature value of the pixel point is bound with the spatiotemporal coordinate identifier of the grid to form key-value pair data. Finally, all key-value pair data is organized into a multi-dimensional matrix to generate a temperature spatiotemporal distribution matrix. The temperature spatiotemporal distribution matrix supports querying temperature data by time or spatial dimension, realizing dynamic analysis of material surface temperature and process optimization.

[0137] The following is a specific example:

[0138] In the process of processing plastic film in the laminating machine oven, first, the time sampling interval is determined according to the moving speed of the material, and the spatial resolution is set. The temperature distribution images of the material surface are continuously collected by the infrared thermal imager according to the set time interval. Each collected temperature image contains two-dimensional temperature distribution data of the material surface. Then, the linear interpolation algorithm is used to align the adjacent frames in the material moving direction to eliminate the position deviation caused by material movement. Finally, all calibrated temperature data are superimposed to construct a three-dimensional temperature data set containing time sequence and spatial coordinates. On this basis, according to the preset spatial resolution division rule grid, a unique spatial position identifier generated based on the geographic spatial coding rule is allocated to each grid, and the corresponding spatiotemporal coordinate identifier is generated combined with the time sequence information, establishing the mapping relationship table of the grid and the spatiotemporal coordinate. Finally, the temperature value of each pixel point in the three-dimensional temperature data set is associated with the spatiotemporal coordinate identifier of the corresponding grid, and the temperature data is organized in the form of a matrix to form a temperature spatiotemporal distribution matrix that can reflect the change of the material surface temperature with time and space. The matrix can query the temperature data of a specific time point and spatial region, and is used to analyze the heat transfer efficiency of the material in the oven and process optimization.

[0139] In summary, steps 401 to 403 construct a high-precision three-dimensional temperature dataset by dynamically dividing the time sampling interval and spatiotemporal alignment. Combined with encoding and gridding processing, efficient association of temperature data and spatial position is achieved. The finally generated temperature spatiotemporal distribution matrix can monitor the temperature change of the material surface in real time, optimize the air flow and heat energy distribution in the drying channel, significantly improve the heating uniformity of the plastic film, reduce material deformation caused by local overheating, and at the same time reduce energy consumption, improve production stability and product quality.

[0140] To solve the problems of difficult accurate positioning of heat abnormal areas and difficult modeling of dynamic heat transfer paths during the process of processing materials in the drying channel of the laminating machine, the scheme defines the heat conduction transition area by calculating the temperature change rate of adjacent areas in the corrected temperature spatiotemporal distribution matrix, locates the heat conduction delay area combined with the material thickness fluctuation data, superimposes the heat abnormal area set and connects the boundary points to form the dynamic heat transfer path, and finally integrates the heat abnormal area and the path to generate the heat response dynamic distribution map, reflecting the dynamic change law of the material heating state. In some embodiments, the heat response dynamic distribution map reflecting the change of the material heating state based on the corrected temperature spatiotemporal distribution matrix in step 103 comprises:

[0141] 501. Divide the corrected temperature spatiotemporal distribution matrix into continuous spatiotemporal areas, and calculate the temperature change rate of adjacent spatiotemporal areas, and define the spatiotemporal area with the temperature change rate exceeding the set threshold as the heat conduction transition area;

[0142] In step 501, the continuous spatiotemporal area refers to a regular grid unit divided according to the preset spatial resolution and time interval, and each unit contains a unique time sequence number and spatial position code. The heat conduction transition area refers to an area where the temperature change rate of adjacent spatiotemporal areas in the material surface temperature distribution exceeds the preset threshold, reflecting the boundary of rapid heat transfer or abnormal diffusion. The temperature change rate refers to the ratio of the temperature difference of adjacent spatiotemporal areas to the time or spatial distance, which is used to quantify the dynamic characteristics of heat conduction.

[0143] In the embodiments of the present application, first, the corrected temperature spatiotemporal distribution matrix is divided into continuous spatiotemporal areas according to the preset spatial resolution and time interval, and each area is uniquely identified by a time sequence number and a spatial position code. Then, the temperature difference of adjacent spatiotemporal areas is calculated using the finite difference method, and the temperature change rate is quantified by the difference algorithm combined with the time interval or spatial distance. When the temperature change rate exceeds the set threshold, the corresponding spatiotemporal area is marked as the heat conduction transition area.

[0144] 502、locate the time-space coordinate position of the thickness mutation point in the corrected temperature-time-space distribution matrix, and define the time-space region within the preset range around the time-space coordinate position as the heat conduction delay region;

[0145] In step 502, the material thickness fluctuation data refers to the measured value of the change of the material thickness with time recorded by the thickness detection system, reflecting the unevenness of the material structure. The time-space coordinate position refers to the unique identification of a physical point on the material surface in four-dimensional space-time, composed of a time sequence number and a spatial position code, used to accurately locate the time and space of the event. The heat conduction delay region refers to the region related to the abnormal temperature change rate caused by the lag of heat transfer due to the thickness mutation of the material. The thickness mutation point refers to the time-space coordinate of the thickness value in the material thickness fluctuation data, which jumps significantly, reflecting the influence of the unevenness of the material structure on heat conduction.

[0146] In the embodiments of the present application, first, the thickness fluctuation data is obtained from the material thickness detection system, and the time-space coordinates of the thickness mutation points are extracted. Then, the positions corresponding to these coordinates are located in the corrected temperature-time-space distribution matrix, and the adjacent time-space regions within the preset range are defined by the space-filling curve algorithm with the time-space coordinate position as the center. By comparing the difference between the temperature change rate of these regions and the historical average, the regions that meet the delay characteristics are selected, and finally defined as the heat conduction delay region.

[0147] 503、superimpose the heat conduction transition region and the heat conduction delay region to generate a heat anomaly region set, and connect the boundary points with the same spatial position in the heat anomaly region set to obtain a dynamic heat transfer path;

[0148] In step 503, the boundary point refers to a point in a topological space that belongs to both a set and its complement neighborhood, i.e. any neighborhood of the point contains both points of the set and points of the complement. The same spatial position refers to multiple time-space regions having completely consistent physical coordinate ranges in the spatial dimension, with the same spatial position code but possibly different time sequence numbers. The heat anomaly region set refers to the superimposition result of the heat conduction transition region and the heat conduction delay region, reflecting the overall distribution of the heat transfer anomaly on the material surface. The dynamic heat transfer path refers to a continuous path formed by connecting the boundary points with the same spatial position, representing the migration trajectory of heat on the material surface.

[0149] In the embodiments of the present application, first, the heat conduction transition region and the heat conduction delay region are superimposed by Boolean operation to generate a heat anomaly region set. Then, the boundary points with the same spatial position code in the heat anomaly region set are extracted, and the minimum spanning tree algorithm is used to construct a continuous dynamic heat transfer path based on the spatial adjacency relationship of the boundary points and the temperature gradient direction.

[0150] 504、combine the set of thermal anomaly regions with the dynamic heat transfer path and generate a thermal response dynamic distribution map.

[0151] In step 504, the combination refers to the operation of integrating two or more data sets into a unified data structure according to common fields through logical operation or data model. The thermal response dynamic distribution map refers to the fusion result of the set of thermal anomaly regions and the dynamic heat transfer path, representing the spatio-temporal evolution characteristics of material surface heat transfer.

[0152] In the embodiments of the present application, first, the set of thermal anomaly regions is matched with the dynamic heat transfer path in space indexing, and the dynamic heat transfer path data is embedded into the spatio-temporal coordinate identifier of the set of thermal anomaly regions through multi-dimensional matrix splicing technology. Subsequently, the temperature data and the path trajectory are superimposed by using the heat map rendering algorithm to generate a thermal response dynamic distribution map containing color gradient and arrow direction.

[0153] The following is a specific example:

[0154] In the process of processing plastic film in the oven of the laminating machine, the material moves at a certain speed, the infrared thermal imager collects temperature images at high frequency, and the thickness detection system synchronously records thickness fluctuation data. The temperature image is divided into regular grid regions, the temperature change rate of adjacent regions is calculated, and the threshold is set to identify the high-temperature rapid diffusion region near the oven outlet as the heat conduction transition region. The spatio-temporal coordinates corresponding to the material thickness mutation points such as wrinkles or bubbles are located, the regions within the range centered on the coordinates are selected, and the parts with temperature change lagging behind the normal regions are defined as the heat conduction delay region. After superimposing the transition and delay regions, it is found that the high-temperature region of the material wrinkle and the delay region exist spatial overlap, and by connecting the boundary points of these regions, a dynamic heat transfer path along the wrinkle is generated. The path is combined with the temperature data to generate a thermal response dynamic distribution map, which shows the heat concentration and lagging transfer characteristics of the wrinkle region.

[0155] In summary, steps 501 to 504 realize the accurate positioning of thermal anomaly regions and the dynamic modeling of heat transfer paths through spatio-temporal division, temperature change rate analysis and thickness fluctuation correlation. In the running process of the oven of the laminating machine, this method can detect thermal anomalies caused by material wrinkles, bubbles and other defects in real time, and optimize the temperature field distribution of the oven through visual path analysis, reduce the material deformation problems caused by local overheating or uneven heat dissipation, and improve product quality and production efficiency.

[0156] To solve the problem that the dynamic heat transfer path in the process of treating materials in the oven of the laminating machine is difficult to model accurately, the scheme screens boundary points with the same spatial position from a boundary point set of a thermal anomaly region set and sorts them in a time sequence, screens boundary points that meet a connection condition through a spatial displacement vector, and splices to generate a dynamic heat transfer path in a space-time sequence, thereby providing a continuous spatial evolution feature description for a thermal response dynamic distribution map. In some embodiments, the connecting, in step 503, of the boundary points with the same spatial position in the thermal anomaly region set to obtain the dynamic heat transfer path includes:

[0157] 601. Screening, from a boundary point set of the thermal anomaly region set, boundary points with the same spatial position and sorting the screened boundary points in a time sequence to generate a boundary point sequence;

[0158] In step 601, the boundary point set refers to a set composed of multiple boundary points. The time sequence refers to a sequence formed by arranging values of the same statistical index in chronological order. The boundary point sequence refers to a boundary point set arranged in chronological order at the same spatial position, reflecting the trajectory of the thermal anomaly region on the material surface evolving over time. The same spatial position refers to multiple boundary points covering the same physical region in the spatial dimension, with consistent spatial position encoding but different time stamps.

[0159] In the embodiments of the present application, first, the spatial position encoding of all boundary points in the boundary point set of the thermal anomaly region set is extracted, and boundary points with the same spatial position encoding are screened through spatial index matching technology. Then, the screened boundary points are sorted in ascending order of time stamp to form a time sequence point set with a fixed spatial position as the reference. Finally, the boundary point sequence corresponding to each spatial position is output, and the boundary point sequence represents the thermal state evolution trajectory of a specific position in the time dimension.

[0160] 602. Calculating a spatial displacement vector between adjacent boundary points according to the boundary point sequence, and screening connection boundary points that meet a preset connection condition based on the spatial displacement vector, and splicing the connection boundary points in a space-time sequence to generate a dynamic heat transfer path.

[0161] In step 602, the preset connection condition refers to a rule or threshold set by humans and used for screening and connecting adjacent boundary points. The adjacent boundary points refer to two boundary points that are continuous in the time sequence or the space sequence. The spatial displacement vector refers to the difference in spatial coordinates between adjacent boundary points, used to quantify the direction and speed of heat migration. The connection boundary points refer to adjacent boundary points that meet the preset connection condition and are used to construct a continuous heat transfer trajectory.

[0162] In the embodiments of the present application, first, based on the spatial coordinates of adjacent boundary points in the boundary point sequence, the spatial displacement vector is calculated by vector operation. Then, according to the preset connection condition, such as the displacement vector length being less than a certain range and the direction angle being less than a certain angle, the connection boundary points meeting the condition are screened out, and the adjacent points meeting the condition are marked as connection boundary points, and the ones not meeting the condition are supplemented with intermediate points by linear interpolation. Finally, the screened connection boundary points are arranged in ascending order of timestamp and spliced to generate a dynamic heat transfer path.

[0163] The following is a specific example:

[0164] In the process of treating plastic film in the oven of the laminating machine, the material moves at a certain speed, and the infrared thermal imager collects temperature images at a high frequency. The boundary points at the wrinkle are extracted from the thermal anomaly area, the points with the same spatial position are screened out, and the boundary point sequence is generated after sorting by timestamp, reflecting the trajectory of the temperature anomaly diffusion of the wrinkle area over time. The spatial displacement vector of adjacent boundary points is calculated, the connection points with the same direction as the material movement direction are screened out, and the dynamic heat transfer path along the wrinkle is generated by splicing, which directly shows the trajectory of heat migration from the inlet to the outlet of the oven.

[0165] In summary, steps 601 to 602 realize the accurate modeling of the dynamic heat transfer path by screening the boundary points with the same spatial position and constructing the time sequence, and screening and splicing the path by combining the spatial displacement vector. In the oven scene of the laminating machine, this method can track the heat migration trajectory caused by defects such as wrinkles or bubbles in real time, provide data support for optimizing the temperature distribution of the oven and defect positioning, and significantly improve the visualization analysis capability and process control efficiency of the material heat treatment process.

[0166] In order to solve the dynamic matching problem of temperature and air speed control in the process of treating materials in the oven of the laminating machine, the scheme generates a temperature compensation coefficient by analyzing the current fluctuation amplitude in the PLC parameter, traces the moving trajectory of the heat accumulation area boundary in the heat response dynamic distribution map to generate an air speed compensation coefficient, and uses the compensation coefficient to associate and adjust the temperature and air speed target parameters in the initial matching relationship to generate temperature and air speed set values sorted by spatial position and bound by timestamp, forming a collaborative operation instruction to dynamically optimize the oven operating parameters. In some embodiments, step 105 generates a collaborative operation instruction including temperature and air speed set values by compensating the initial matching relationship based on the real-time change trend of the PLC parameter and the heat response dynamic distribution map, including:

[0167] 701. Analyze the current fluctuation amplitude of the PLC parameter within a preset sampling period. When the current fluctuation amplitude exceeds a preset threshold, generate a temperature compensation coefficient according to the deviation of the current fluctuation amplitude from a preset reference current;

[0168] In step 701, the PLC parameter refers to real-time current data recorded in a programmable logic controller, including a sampling timestamp and a current value. The preset sampling period refers to a fixed time interval for periodically collecting current data. The current fluctuation amplitude refers to the difference between the maximum difference and the minimum difference of the current value in adjacent sampling periods. The preset threshold refers to an artificially set upper limit of the current fluctuation range. The preset reference current refers to an artificially set fixed current value in circuit design, which is used for comparison or calibration with other currents. The temperature compensation coefficient refers to a correction parameter calculated according to the deviation of the current fluctuation and the reference current, which is used to adjust the temperature target parameter.

[0169] In the embodiments of the present application, first, real-time current data in a preset sampling period is collected by a programmable logic controller, and the difference between the maximum difference and the minimum difference of the current value in adjacent periods is calculated using a sliding window algorithm to obtain the current fluctuation amplitude. Then, the fluctuation amplitude is compared with the preset threshold, and if it exceeds the threshold, the deviation ratio of the current fluctuation amplitude and the preset reference current is calculated. Finally, the deviation ratio is mapped to a temperature compensation coefficient through normalization processing.

[0170] 702, track the moving trajectory of the heat accumulation area boundary in the heat response dynamic distribution map, and generate a wind speed compensation coefficient when the change rate of the moving trajectory exceeds a preset threshold value;

[0171] In step 702, the heat accumulation area boundary refers to the edge profile of the temperature abrupt change region in the map. The moving trajectory refers to the spatial position change path of the boundary point in consecutive time frames. The change rate refers to the distance change value of the boundary movement per unit time. The preset threshold value refers to an artificially set upper limit of the boundary movement speed. The wind speed compensation coefficient refers to a correction parameter calculated according to the boundary movement rate, which is used to adjust the wind speed target parameter.

[0172] In the embodiments of the present application, first, the heat response dynamic distribution map is obtained by an infrared thermal imager, and the profile point set of the heat accumulation area boundary is extracted using an image segmentation algorithm. Then, the spatial displacement of the profile point in consecutive time frames is tracked, and the change rate of the boundary moving trajectory is calculated through vector operation. If the change rate of the moving trajectory exceeds the preset threshold value, the abnormality of the boundary movement is judged by the length and direction consistency of the displacement vector. Finally, the ratio of the abnormal displacement value to the reference wind speed is normalized to the wind speed compensation coefficient.

[0173] 703, using the temperature compensation coefficient and the wind speed compensation coefficient to respectively associate and compensate the temperature target parameter and the wind speed target parameter in the initial matching relationship, to obtain a compensated temperature value and a compensated wind speed value;

[0174] In step 703, the temperature target parameter refers to the expected temperature value set by the user or system, which is used to guide the operation of the heating device. The wind speed target parameter refers to the expected wind speed value set by the user or system, which is used to control the operation of the air blowing device. The associated compensation refers to the process of adjusting the initial parameters through temperature compensation coefficients and wind speed compensation coefficients. The compensated temperature value refers to the corrected temperature setting value, and the compensated wind speed value refers to the corrected wind speed setting value.

[0175] In the embodiments of the present application, first, the temperature compensation coefficient is associated with the initial temperature target parameter to obtain the compensated temperature value. At the same time, the wind speed compensation coefficient is associated with the initial wind speed target parameter to obtain the compensated wind speed value. Subsequently, the linear regression algorithm is used to verify whether the compensated temperature target parameter and the wind speed target parameter meet the process constraints. If they meet, the compensated temperature value and the compensated wind speed value are output. This process realizes the linkage correction of temperature and wind speed, ensuring that the adjusted parameters meet the production requirements.

[0176] 704, respectively, the compensated temperature value and the compensated wind speed value are sorted according to the spatial position sequence in the oven of the laminating machine, to obtain the temperature setting value and the wind speed setting value, and the temperature setting value and the wind speed setting value are timestamped to generate a cooperative operation instruction.

[0177] In step 704, the temperature setting value refers to the actual execution temperature value corrected by the compensation algorithm, which is used to drive the heating device. The wind speed setting value refers to the actual execution wind speed value corrected by the compensation algorithm, which is used to drive the air blowing device. The spatial position sequence refers to the physical arrangement sequence of each heating zone or air blowing zone in the oven of the laminating machine. The sorting refers to the process of reorganizing the compensation parameters according to the spatial position. The timestamp binding refers to the process of associating the temperature and wind speed parameters at the same time.

[0178] In the embodiments of the present application, first, according to the physical arrangement sequence of each heating zone or air blowing zone in the oven of the laminating machine, the compensated temperature value and the compensated wind speed value are arranged in ascending or descending order of spatial position to generate the temperature setting value and the wind speed setting value of the corresponding region. Through the spatial index mapping technology, the compensation parameters are matched with the physical position of the oven partition to ensure that the parameter value of each region matches its actual installation position. Subsequently, each sorted temperature setting value and wind speed setting value is assigned a current timestamp, and the time synchronization algorithm is used to ensure that the temperature and wind speed parameters at the same time are strictly aligned in the time dimension. Finally, the temperature setting value and the wind speed setting value with the bound timestamp are combined into a cooperative operation instruction.

[0179] The following is a specific example:

[0180] In the process of treating plastic film in the laminating machine oven, the current data of the heating area of the oven is collected in real time according to the programmable logic controller, and when the current fluctuation amplitude at a certain moment exceeds the preset threshold, the temperature compensation coefficient is generated by calculating the deviation proportion of the current from the reference current. When the boundary movement speed of the heat accumulation area in the middle of the oven is higher than the critical value, the wind speed compensation coefficient is generated according to the boundary displacement characteristics. The initial temperature target parameter and the wind speed target parameter are multiplied by the temperature compensation coefficient and the wind speed compensation coefficient respectively to obtain the compensated temperature value and the wind speed value. According to the spatial position sequence of the left, middle and right heating areas of the oven, the compensation parameters are sorted, and the same timestamp is bound to the corresponding parameters to finally generate the cooperative operation instruction to control the programmable logic controller to adjust the temperature and wind speed set values of each area synchronously.

[0181] In summary, steps 701 to 704 solve the nonlinear coupling problem of temperature and wind speed in the process of treating materials in the laminating machine oven through dynamic monitoring of current fluctuation and boundary movement, combined with parameter compensation and space-time synchronous control. Current abnormality triggers temperature compensation to avoid overheating damage to materials. Boundary movement abnormality triggers wind speed compensation to enhance heat uniformity. The compensation parameters are sorted according to the spatial sequence and bound to the timestamp to ensure the accuracy of multi-zone cooperative control. Finally, the material heating uniformity is improved, the energy consumption is reduced, and the production efficiency is improved.

[0182] Figure 2 A structure diagram of a laminating machine oven temperature and wind speed cooperative control system based on PLC parameters is provided for the embodiments of the present application, as shown in Figure 2 The system comprises:

[0183] The acquisition module 21 synchronously acquires material thickness fluctuation data, gas flow data, original temperature distribution data on the surface of the material, and PLC parameters in the process of treating materials in the laminating machine oven.

[0184] The encoding module 22 encodes the original temperature distribution data according to the moving direction of the material to generate a temperature space-time distribution matrix on the surface of the material.

[0185] The correction module 23 corrects the temperature space-time distribution matrix using the material thickness fluctuation data, and generates a heat response dynamic distribution map reflecting the change in the heating state of the material based on the corrected temperature space-time distribution matrix.

[0186] The matching module 24 extracts the gas flow velocity distribution characteristics based on the gas flow data, and performs spatial matching between the gas flow velocity distribution characteristics and the heat transfer direction in the heat response dynamic distribution map to obtain the initial matching relationship between the temperature and the wind speed in the laminating machine oven.

[0187] The generating module 25 generates a coordinated operation instruction including a temperature set value and a wind speed set value based on the PLC parameter and a real-time change trend of the thermal response dynamic distribution map to cooperatively compensate the initial matching relationship.

[0188] Figure 2 The PLC parameter-based laminating machine oven temperature and wind speed coordination control system can perform Figure 1 The PLC parameter-based laminating machine oven temperature and wind speed coordination control method of the embodiments described above has the implementation principle and technical effects which will not be repeated. The specific operation of each module and unit of the PLC parameter-based laminating machine oven temperature and wind speed coordination control system in the above embodiments has been described in detail in the embodiments related to the method, and will not be described in detail here.

[0189] In one possible design, Figure 2 The PLC parameter-based laminating machine oven temperature and wind speed coordination control system of the embodiments described above can be implemented as a computing device, such as Figure 3 As shown in the figure, the computing device can include a storage component 31 and a processing component 32.

[0190] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32.

[0191] The processing component 32 is configured to perform the above Figure 1 The PLC parameter-based laminating machine oven temperature and wind speed coordination control method of the embodiments described above.

[0192] The processing component 32 can include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component can also be one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, for executing the above method.

[0193] The storage component 31 is configured to store various types of data to support the operation of the terminal. The storage component can be realized by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0194] Of course, the computing device can also include other components, such as input / output interfaces, display components, communication components, etc.

[0195] The input / output interface provides an interface between the processing component and peripheral interface modules, which can be output devices, input devices, etc.

[0196] The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, etc.

[0197] The computing device can be a physical device or an elastic computing host provided by a cloud computing platform, and the processing component, the storage component, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0198] The embodiment of the application also provides a computer storage medium storing a computer program, and the computer program can implement the above-mentioned Figure 1 The embodiment shown in the figure is a lamination machine oven temperature and wind speed collaborative control method based on PLC parameters.

[0199] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

[0200] The device embodiments described above are only schematic, and the units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0201] From the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software and necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software product, which can be stored in a computer readable storage medium such as ROM / RAM, magnetic disk, optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, server, or network device, etc.) execute the method described in each embodiment or some part of the embodiment.

[0202] Finally, it should be noted that the above examples are only used to illustrate the technical solutions of the present application, and are not intended to limit the same; although the present application has been described in detail with reference to the foregoing examples, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for oven temperature and air speed coordinated control of a laminator based on PLC parameters, characterized in that, The application relates to a method for dynamically matching temperature and air speed in a laminating machine oven, comprising the following steps: During the process of treating materials in a laminating machine oven, the thickness fluctuation data of the materials, the gas flow data, the original temperature distribution data of the material surface and the PLC parameters are synchronously collected; The original temperature distribution data is time-space grid encoded according to the moving direction of the materials, and a temperature time-space distribution matrix of the material surface is generated; The temperature time-space distribution matrix is corrected by using the thickness fluctuation data of the materials, and a thermal response dynamic distribution map reflecting the change of the heating state of the materials is generated based on the corrected temperature time-space distribution matrix; Based on the gas flow data, the gas flow velocity distribution characteristics are extracted, and the gas flow velocity distribution characteristics are spatially matched with the heat transfer direction in the thermal response dynamic distribution map, so that an initial matching relationship between the temperature and the air speed in the laminating machine oven is obtained, including: the wind speed measurement values and the gas flow direction angles of each position in the laminating machine oven are analyzed from the gas flow data, and the wind speed measurement values and the gas flow direction angles are spatially matched to generate a gas flow velocity vector field; the gas flow velocity distribution characteristics containing the dominant gas flow direction and the high-speed gas flow region boundary are extracted from the gas flow velocity vector field, and the corresponding heat transfer direction and heat transfer diffusion range are identified in the thermal response dynamic distribution map based on the gas flow velocity distribution characteristics; the direction included angle between the dominant gas flow direction and the heat transfer direction of each position in the laminating machine oven is calculated, and meanwhile, the spatial overlapping degree of the high-speed gas flow region boundary and the heat transfer diffusion range is analyzed to obtain an analysis result; based on the direction included angle and the analysis result, the wind speed target parameters and the temperature target parameters of each position in the laminating machine oven are dynamically set; the wind speed target parameters and the temperature target parameters are associated and mapped to generate the initial matching relationship between the temperature and the air speed in the laminating machine oven; Based on the real-time change trend of the PLC parameters and the thermal response dynamic distribution map, the initial matching relationship is cooperatively compensated to generate a cooperative operation instruction containing temperature set values and air speed set values.

2. The method of claim 1, wherein, The spatial overlapping degree of the high-speed gas flow region boundary and the heat transfer diffusion range is analyzed to obtain an analysis result, including: The spatial coordinate set of the high-speed gas flow region boundary and the three-dimensional coordinate set of the heat transfer diffusion range are extracted respectively, and the spatial coordinate set and the three-dimensional coordinate set are spatially overlapped and matched to generate a density distribution map of the overlapped region; Based on the density distribution map, the overlapping degree index of the high-speed gas flow region boundary and the heat transfer diffusion range is calculated, the overlapping degree index is associated with a preset spatial influence weight coefficient, and the analysis result is obtained.

3. The method of claim 1, wherein, The original temperature distribution data is time-space grid encoded according to the moving direction of the materials, and a temperature time-space distribution matrix of the material surface is generated, including: The time sampling interval is divided according to the moving speed of the materials in the laminating machine oven, the temperature distribution data frames of the original temperature distribution data in the time sampling interval are extracted, each temperature distribution data frame is time-space aligned along the moving direction of the materials, and a three-dimensional temperature data set is constructed; In the three-dimensional temperature dataset, grid regions are divided according to a preset spatial resolution, and each grid region is assigned a spatiotemporal coordinate identifier containing a time sequence number and a spatial location code. The temperature distribution data frame is associated and mapped with the spatiotemporal coordinate identifier to generate a spatiotemporal temperature distribution matrix on the material surface.

4. The method of claim 1, wherein, The generation of a dynamic distribution map of thermal response reflecting changes in the material's thermal state based on the corrected temperature spatiotemporal distribution matrix includes: The corrected temperature spatiotemporal distribution matrix is ​​divided into continuous spatiotemporal regions, and the temperature change rate of adjacent spatiotemporal regions is calculated. The spatiotemporal region where the temperature change rate exceeds a set threshold is defined as the heat conduction transition region. The thickness abrupt change point in the material thickness fluctuation data is located in the spatiotemporal coordinate position of the corrected temperature spatiotemporal distribution matrix, and the spatiotemporal region within the preset range of the surrounding spatiotemporal coordinate position is defined as the heat conduction delay region. The heat conduction transition region and the heat conduction delay region are superimposed to generate a set of heat anomaly regions. The boundary points with the same spatial location in the set of heat anomaly regions are connected to obtain a dynamic heat transfer path. The set of thermal anomaly regions is associated with and merged with the dynamic heat transfer path to generate a dynamic distribution map of thermal response.

5. The method of claim 4, wherein, The step of connecting the boundary points with the same spatial location in the thermal anomaly region to obtain a dynamic heat transfer path includes: Boundary points with the same spatial location are selected from the set of boundary points of the thermal anomaly region set, and the selected boundary points are sorted according to the time series to generate a boundary point sequence. The spatial displacement vector between adjacent boundary points is calculated based on the boundary point sequence. Based on the spatial displacement vector, connection boundary points that meet the preset connection conditions are selected. The connection boundary points are then spliced ​​together according to the spatiotemporal sequence to generate a dynamic heat transfer path.

6. The method of claim 1, wherein, Based on the real-time changing trends of the PLC parameters and the dynamic distribution map of the thermal response, the initial matching relationship is compensated collaboratively to generate collaborative operation instructions including temperature setpoints and wind speed setpoints, including: The current fluctuation amplitude of the PLC parameters within a preset sampling period is analyzed. When the current fluctuation amplitude exceeds a preset threshold, a temperature compensation coefficient is generated based on the deviation between the current fluctuation amplitude and the preset reference current. Track the movement trajectory of the boundary of the heat accumulation area in the dynamic distribution map of the thermal response, and generate a wind speed compensation coefficient when the rate of change of the movement trajectory exceeds a preset critical value; The temperature target parameter and the wind speed target parameter in the initial matching relationship are correlated and compensated using the temperature compensation coefficient and the wind speed compensation coefficient, respectively, to obtain the compensated temperature value and the compensated wind speed value. The compensated temperature value and the compensated wind speed value are sorted according to their spatial position within the drying tunnel of the laminating machine to obtain the temperature setpoint and wind speed setpoint. The temperature setpoint and wind speed setpoint are then timestamped to generate a collaborative operation command.

7. A laminating machine oven temperature and air speed coordinated control system based on PLC parameters, applied to the laminating machine oven temperature and air speed coordinated control method based on PLC parameters in any one of claims 1-6, characterized in that, include: The collection module synchronously collects material thickness fluctuation data, gas flow data, original temperature distribution data of the material surface and PLC parameters during the process of the laminating machine oven processing the material; The encoding module encodes the original temperature distribution data according to the moving direction of the material to generate a temperature space-time distribution matrix of the material surface; The correction module corrects the temperature space-time distribution matrix by using the material thickness fluctuation data, and generates a heat response dynamic distribution map reflecting the change of the heating state of the material based on the corrected temperature space-time distribution matrix; The matching module extracts the gas flow velocity distribution characteristics based on the gas flow data, and performs spatial matching between the gas flow velocity distribution characteristics and the heat transfer direction in the heat response dynamic distribution map to obtain an initial matching relationship between the temperature and the wind speed in the laminating machine oven; The generation module performs collaborative compensation on the initial matching relationship based on the real-time change trend of the PLC parameters and the heat response dynamic distribution map to generate a collaborative operation instruction including temperature set value and wind speed set value.

8. A computing device, comprising: The system comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to realize the laminating machine oven temperature and wind speed collaborative control method based on PLC parameters according to any one of claims 1-6.

9. A computer storage medium, characterized in that The computer program is stored in the computer and is executed by the computer to realize the laminating machine oven temperature and wind speed collaborative control method based on PLC parameters according to any one of claims 1-6.

Images