Coiled material temperature control method and device, composite coiled material processing equipment and storage medium

Abstract

The invention discloses a coiled material temperature control method and device, composite coiled material processing equipment and a storage medium, and belongs to the technical field of coiled material processing. Temperature data of at least two coiled material layers entering a pressing device and cooling control data of a composite coiled material are obtained, and the composite coiled material is obtained after the at least two coiled material layers enter the pressing device; according to the at least two pieces of temperature data, the cooling control data and a quality identification model, determining predicted quality of the composite coiled material, wherein the predicted quality comprises wrinkle data of each coiled material layer of the composite coiled material; and determining target control data of the composite coiled material processing equipment according to the predicted quality and the detected actual detection quality of the composite coiled material. The technical effect of improving the quality of coiled material production is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of coiled material processing, in particular to a coiled material temperature control method, a coiled material temperature control device, a coiled material processing equipment and a storage medium. BACKGROUND

[0002] With the innovation of waterproof technology, a large number of waterproof materials have appeared in recent years, including various modified asphalt waterproof materials, high-density polyethylene waterproof materials, and polyurethane waterproof materials. In addition to waterproofing, these materials also need to have other excellent properties, such as UV resistance, high elasticity, and high mechanical strength. Currently, waterproof materials generally need to be produced using a composite process to form corresponding composite coiled materials. Specifically, each composite layer is prepared, and then the coiled material is formed by pressing or bonding. This production method is prone to wrinkles or deformation during the pressing process due to the temperature characteristics of new materials, and manual experience is required to gradually adjust the parameters, resulting in poor quality of the produced coiled material.

[0003] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0004] The main purpose of the present application is to provide a coiled material temperature control method, device, composite coiled material processing equipment, and storage medium, which aims to improve the quality of coiled material production.

[0005] To achieve the above purpose, the present application provides a coiled material temperature control method applied to a composite coiled material processing equipment, which comprises the following steps:

[0006] Obtaining temperature data of at least two coiled material layers entering a pressing device and cooling control data of a composite coiled material, the composite coiled material being obtained after the at least two coiled material layers enter the pressing device;

[0007] Determining a predicted quality of the composite coiled material according to the at least two temperature data, the cooling control data, and a quality identification model, the predicted quality including wrinkle data of each coiled material layer of the composite coiled material;

[0008] Determining target control data of the composite coiled material processing equipment according to the predicted quality and an actual detected quality of the composite coiled material.

[0009] Optionally, the step of determining the target control data of the composite coiled material processing equipment according to the predicted quality and the actual detected quality of the composite coiled material comprises:

[0010] When the actual detected quality reaches a preset quality indicator, determining the temperature data and the cooling control data of the composite coiled material as the target control data;

[0011] when the actual detection quality does not reach the preset quality index, and the preset quality index and the actual detection quality are the same, adjusting at least one of the preheating control data and the cooling control data of the two material layers according to the actual detection quality, and returning to the step of obtaining the temperature data of the at least two material layers entering the compression device and the cooling control data of the composite material.

[0012] when the actual detection quality does not reach the preset quality index, and the preset quality index and the actual detection quality are different, adjusting the quality identification model according to the temperature data, the cooling control data, the preset quality index, and the actual detection quality, and adjusting at least one of the preheating control data and the cooling control data of the two material layers according to the actual detection quality, and returning to the step of obtaining the temperature data of the at least two material layers entering the compression device and the cooling control data of the composite material.

[0013] Optionally, the actual detection quality includes the number of wrinkles and the position of wrinkles, and the step of adjusting at least one of the preheating control data and the cooling control data of the two material layers according to the actual detection quality includes:

[0014] when the position of the wrinkles is on the surface of the material layer, adjusting the preheating control data of the material layer corresponding to the position of the wrinkles according to the number of wrinkles;

[0015] when the position of the wrinkles is on the interface of the two material layers, adjusting the preheating control data and the cooling control data according to the number of wrinkles.

[0016] Optionally, the step of obtaining the temperature data of the at least two material layers entering the compression device and the cooling control data of the composite material includes:

[0017] controlling the heating device to heat each region of each material layer according to a preset heating setting;

[0018] controlling the infrared light sensor to collect infrared image data of each material layer, and determining temperature image data corresponding to the infrared image data as the temperature data;

[0019] obtaining operation data of a cooling device as the cooling control data, the cooling device being used to cool the composite material.

[0020] Optionally, before the step of controlling the heating device to heat each region of each material layer according to a preset heating setting, the method further includes:

[0021] dividing the material layer into a plurality of regions in a target direction;

[0022] generate a corresponding preset heating setting according to the position of the region.

[0023] Optionally, before the step of determining the predicted quality of the composite roll material according to the at least two temperature data, the cooling control data and the quality identification model, the method further comprises:

[0024] recording production record data acquired by the composite roll material processing equipment before the current time;

[0025] training a neural network model according to the production record data to obtain the quality identification model.

[0026] Optionally, the composite roll material processing equipment is provided with an optical sensor, the optical sensor comprising a visible light sensor and an infrared light sensor, and the step of recording the production record data acquired by the composite roll material processing equipment before the current time comprises:

[0027] controlling the infrared light sensor to collect infrared image information of a first roll material layer before the current time, and controlling the visible light sensor to collect visible light image information of a first composite roll material before the current time;

[0028] determining temperature distribution data of the first roll material layer according to the infrared image information;

[0029] taking the temperature distribution data and the visible light image information as the production record data.

[0030] In addition, to achieve the above-mentioned purposes, the application further provides a roll material temperature control device, which comprises:

[0031] an acquisition module, configured to acquire temperature data of at least two roll material layers entering a pressing device and cooling control data of a composite roll material, the composite roll material being obtained after the at least two roll material layers enter the pressing device;

[0032] an identification module, configured to determine a predicted quality of the composite roll material according to the at least two temperature data, the cooling control data and a quality identification model, the predicted quality comprising wrinkle data of each roll material layer of the composite roll material;

[0033] a control module, configured to determine target control data of the composite roll material processing equipment according to the predicted quality and an actual detected quality of the composite roll material.

[0034] In addition, to achieve the above object, the present application also provides a composite web processing equipment, which comprises a memory, a processor and a web temperature control program stored in the memory and executable on the processor, and the web temperature control program is configured to implement the steps of the web temperature control method according to any one of the above.

[0035] In addition, to achieve the above object, the present application also provides a storage medium, which stores a web temperature control program, and the web temperature control program implements the steps of the web temperature control method according to any one of the above when executed by a processor.

[0036] The present application provides a web temperature control method, which determines the predicted quality of the composite web through the at least two temperature data, the cooling control data and the quality identification model, the predicted quality including the wrinkle data of each web material layer of the composite web, and in fact is the result of predicting the quality of the current production based on the model of the same type of material before the current time, and determines the target control data of the composite web processing equipment according to the predicted quality and the actual detected quality of the composite web, which can effectively correct the control data of the temperature in the pressing process compared with the traditional method, so as to quickly improve the quality of the web production. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 is a structural schematic diagram of a composite web processing equipment related to a hardware running environment of an embodiment of the present application.

[0038] Figure 2 is a flowchart of the first embodiment of the web temperature control method of the present application.

[0039] Figure 3 is a flowchart of the second embodiment of the web temperature control method of the present application.

[0040] Figure 4 is a flowchart of the third embodiment of the web temperature control method of the present application.

[0041] The implementation of the object, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0042] It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0043] Reference Figure 1 , Figure 1 is a structural schematic diagram of a composite web processing equipment related to a hardware running environment of an embodiment of the present application.

[0044] As Figure 1 shown, the composite web processing equipment can include a processor 1001, such as a central processing unit (CPU), a communication bus 1002, an interactive device 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize the connection and communication between the components. The interactive device 1003 can include a display screen, an input unit such as a keyboard, and can also be connected to the communication bus through a standard wired interface or a wireless interface. The network interface 1004 can optionally include a standard wired interface or a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 1005 can be a high-speed random access memory (RAM) memory or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 can also be a storage device independent of the aforementioned processor 1001.

[0045] Those skilled in the art can understand that Figure 1 the structure shown in the figure does not constitute a limitation on the composite web processing equipment, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.

[0046] As Figure 1 shown, the memory 1005 as a storage medium can include an operating system, a data storage module, a network communication module, a user interface module, and a composite web processing program.

[0047] In Figure 1 the composite web processing equipment, the network interface 1004 is mainly used for data communication with other devices; the interactive device 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the composite web processing equipment of the present application can be arranged in the composite web processing equipment, and the composite web processing equipment calls the web temperature control program stored in the memory 1005 through the processor 1001, and executes the web temperature control method provided by the embodiment of the present application.

[0048] The embodiment of the present application provides a web temperature control method, which refers to Figure 2 , Figure 2 the flowchart of the first embodiment of the web temperature control method of the present application.

[0049] In this embodiment, the web temperature control method comprises:

[0050] S1, obtaining temperature data of at least two layers of material rolls entering a pressing device and cooling control data of a composite roll formed by the at least two layers of material rolls after entering the pressing device;

[0051] In the embodiment, the temperature data can be detected by a temperature detection device. The pressing device includes a pressing roller, and the at least two layers of material rolls are pressed by the pressing roller. Optionally, the layers of material rolls can include a PE layer as a protective layer and SBS (styrene-butadiene block copolymer) as an intermediate layer. The composite roll refers to the roll after being pressed, and the roll needs to be cooled after being pressed. For cooling by a medium, the cooling data generally includes a cooling medium temperature and a cooling contact time.

[0052] S2, determining a predicted quality of the composite roll according to the at least two temperature data, the cooling control data, and a quality identification model, the predicted quality including wrinkle data of each layer of material roll of the composite roll;

[0053] The quality identification model is trained by data generated in a production process of similar materials. In the embodiment, the similar materials refer to APP modified asphalt, high-viscosity modified asphalt, and other materials mixed in SBS material. The at least two temperature data and the cooling control data are input into the quality identification model, and a result output by the model is obtained as the predicted quality. In the embodiment, the predicted quality is actually obtained for comparison with actual measurement, and the difference between a newly used material and a commonly used material in production is determined by actual data. Generally, a supplier provides characteristics of a material, such as water impermeability, tensile strength, low-temperature flexibility, and thermal dimensional change rate. However, how to adjust parameters in a production process is not clear to the supplier.

[0054] S3, determining target control data of a composite roll processing device according to the predicted quality and actual detection quality of the composite roll.

[0055] In the embodiment, the difference between a new material and an old material can be determined according to the predicted quality and the actual detection quality of the composite roll. Since the difference is a comparison of production quality results, whether the two materials are the same in processing characteristics can be effectively determined by the above analysis. Specifically, the appearance area of the wrinkle and the number of the wrinkle are compared, and the temperature control of the composite roll processing device is adjusted.

[0056] In this embodiment, the predicted quality of the composite roll is determined by the at least two temperature data, the cooling control data, and the quality identification model. The predicted quality includes the wrinkle data of each layer of the composite roll material. In fact, it is based on the model of the same type of material before the current moment to predict the quality of the current production. The target control data of the composite roll processing equipment is determined according to the predicted quality and the actual detected quality of the composite roll. Compared with the traditional method, it can effectively correct the temperature control data during the pressing process, thereby rapidly improving the quality of roll production.

[0057] Furthermore, based on the first embodiment, a second embodiment of the roll material temperature control method of the present invention is proposed. In this embodiment, reference is made to... Figure 3 The step of determining the target control data of the composite roll processing equipment based on the predicted quality and the actual detected quality of the composite roll includes:

[0058] Step S31: When the actual test quality reaches the preset quality index, the temperature data and the cooling control data of the composite roll are determined as the target control data.

[0059] In this embodiment, the specific preset quality indicator is the number of pleats. The number of pleats can be designed by production technicians. Preferably, the preset quality indicator for the composite roll material is zero. The target control data specifically includes the specific parameters for controlling the temperature during the production of the composite roll material using the composite roll material processing equipment. Different control parameters often correspond to different types of new materials. When the actual test quality reaches the preset quality indicator, it is determined that the temperature control enables the produced composite roll material to meet the production requirements. Therefore, the temperature data and the cooling control data of the composite roll material can be determined as the target control data.

[0060] Step S32: When the actual test quality does not reach the preset quality index, and the preset quality index is the same as the actual test quality, adjust at least one of the preheating control data and the cooling control data of the two roll material layers according to the actual test quality, and return to the step of obtaining the temperature data of at least two roll material layers entering the pressing device and the cooling control data of the composite roll.

[0061] In this embodiment, when the preset quality index and the actual detected quality are determined to be the same, it can be determined that the quality identification model can output the correct result based on the temperature data and cooling control data obtained in step S1. This means that the probability of outputting data that is the same as the actual detected quality in the neighborhood of the temperature data value is relatively high. Therefore, when adjustments are made based on the current temperature data and cooling control data, the smaller the data adjustment, the more accurate the preset data can be guaranteed. Therefore, the actual detected quality includes the number of wrinkles and the position of wrinkles, and a first temperature adjustment coefficient is set. The first temperature adjustment coefficient is positively correlated with the number of wrinkles, while the position of wrinkles is used to determine the data type of adjustment, specifically at least one of the preheating control data and the cooling control data.

[0062] Step S33: When the actual detection quality does not reach the preset quality index, and the preset quality index and the actual detection quality are different, adjust the quality identification model according to the temperature data, the cooling control data, the preset quality index and the actual detection quality, and adjust at least one of the preheating control data and the cooling control data of the two roll material layers according to the actual detection quality, and return to the step of obtaining the temperature data of at least two roll material layers entering the pressing device and the cooling control data of the composite roll.

[0063] When the actual test quality fails to meet the preset quality index, and the preset quality index and the actual test quality are not the same, it indicates that the current new material differs significantly from previous materials. Therefore, a second temperature adjustment coefficient needs to be set. This second temperature adjustment coefficient is positively correlated with the deviation between the preset quality index and the actual test quality. That is, the larger the deviation between the preset quality index and the actual test quality, the more the step size of the preheating control data and cooling control data corresponding to the temperature data needs to be adjusted. In this embodiment, the adjustment control data needs to be determined through the generated first and second temperature adjustment coefficients. In other words, the adjustment step size can actually be determined in this embodiment. The specific selection of the data to be adjusted depends on the wrinkle position.

[0064] Furthermore, the actual inspection quality includes: the number of wrinkles and the location of wrinkles, and the step of adjusting at least one of the preheating control data and the cooling control data of the two roll material layers according to the actual inspection quality includes:

[0065] When the folds are located on the surface of the roll material layer, the preheating control data of the roll material layer corresponding to the fold positions is adjusted according to the number of folds.

[0066] In this embodiment, it is necessary to determine which parameters need to be adjusted based on the location of the wrinkles. Specifically, if wrinkles appear on the surface, it is necessary to adjust the surface tension of the corresponding roll material, thereby determining that the temperature of the roll material needs to be adjusted, which in turn requires adjusting the preheating control data.

[0067] When the folds are located at the interface between the two layers of the roll material, the preheating control data and the cooling control data are adjusted according to the number of folds.

[0068] Specifically, when the wrinkle is located at the interface of two layers of the roll material, it indicates uneven shrinkage of the two contacting layers during the cooling process. Therefore, it is necessary to adjust the cooling rate to determine the adjustment of the preheating control data and the cooling control data. The adjustment step size can be determined based on the aforementioned second temperature adjustment coefficient. It should be noted that the cause of the wrinkle can be determined by its texture. Specifically, wrinkles caused by excessive tension are characterized by being longitudinal, deep, and generally appearing as straight or diagonal lines. The wrinkles are relatively regular, with a clear directionality, and are usually distributed along the longitudinal direction of the roll material. Wrinkles caused by insufficient tension are characterized by being transverse, irregular, and generally appearing as wavy or S-shaped wrinkles. The wrinkles are relatively loose and their positions are not fixed. Therefore, the cause of abnormal tension can be accurately identified by the shape of the wrinkle.

[0069] In this embodiment, when the folds are located on the surface of the roll material layer, the preheating control data of the roll material layer corresponding to the fold position is adjusted according to the number of folds; when the folds are located at the interface of two roll material layers, the preheating control data and the cooling control data are adjusted according to the number of folds. Through rapid iterative correction, the target control data can be quickly determined, thereby achieving accurate temperature control during the production of the roll material.

[0070] Furthermore, based on the first or second embodiment, a third embodiment of the roll material temperature control method of the present invention is proposed. In this embodiment, reference is made to... Figure 4 The step of obtaining temperature data of at least two roll material layers upon entering the laminating device and cooling control data of the composite roll includes:

[0071] Step S11: Control the heating device to heat each area of ​​each roll material layer according to the preset heating settings;

[0072] In this embodiment, the heating device can heat the roller, and the heating of each area is controlled by controlling the temperature of the heating roller and the contact time with the roll material layer. Of course, the heating method can be hot air heating, laser heating, etc. Optionally, the heating roller can be controlled to uniformly heat each area according to the preset heating settings.

[0073] Step S12: Control the infrared light sensor to collect infrared image data of each roll material layer, and determine the temperature image data corresponding to the infrared image data as the temperature data;

[0074] In this embodiment, optionally, the infrared image data refers to an image of each roll material layer at a distance of 5 cm to 15 cm from the pressing device. The roll material layers are then conveyed to the pressing device for pressing.

[0075] Step S13: Obtain the operating data of the cooling equipment as the cooling control data. The cooling equipment is used to cool the composite roll.

[0076] In this embodiment, the cooling device may include a cooling roller that contacts the composite roll to cool it.

[0077] Furthermore, before the step of controlling the heating device to heat each area of ​​each roll material layer according to the preset heating settings, the method further includes:

[0078] The roll material layer is divided into multiple regions in the target direction;

[0079] Generate corresponding preset heating settings based on the location of the area.

[0080] The target direction is perpendicular to the transport direction of the roll material layer. The further away the region is from the initial position in the target direction, the greater the temperature difference, thus creating a temperature gradient in each region.

[0081] In this embodiment, by setting the target direction perpendicular to the transport direction of the roll material layer, the greater the temperature difference between the region in the target direction and the initial position in the target direction, the temperature gradient exists in each region. For a roll material layer with a large width, the temperature data at various entry points into the pressing device can be determined, thereby effectively saving the amount of roll material layer used.

[0082] Furthermore, based on any of the above embodiments, a fourth embodiment of the roll material temperature control method of the present invention is proposed. In this embodiment, before the step of determining the predicted quality of the composite roll material based on the at least two temperature data, the cooling control data, and the quality identification model, the method further includes:

[0083] Record the production data acquired by the composite roll processing equipment before the current moment;

[0084] The quality identification model is obtained by training the neural network model based on the production record data.

[0085] In this embodiment, the production record data may include data on the production of composite rolls from the current roll material layer, or data on the production of composite rolls from materials similar to the current roll material. Preferably, when a new roll material is used as the current roll material, the production record data only includes materials similar to the current roll material. The production record data is normalized and grouped into training and testing sets according to a preset ratio. The training set is used to train a deep neural network model to obtain the quality identification model. The type of deep neural network is not limited and can be selected by the customer based on actual conditions. The types of production record data include: data types corresponding to temperature data, data types corresponding to cooling control data, and data types corresponding to predicted quality.

[0086] Furthermore, the composite roll processing equipment is equipped with optical sensors, including visible light sensors and infrared light sensors. The step of recording the production record data acquired by the composite roll processing equipment before the current moment includes:

[0087] The infrared light sensor is controlled to acquire infrared image information of the first roll material layer before the current moment, and the visible light sensor is controlled to acquire visible light image information of the first composite roll before the current moment.

[0088] The temperature distribution data of the first roll material is determined based on the infrared image information;

[0089] The temperature distribution data and the visible light image information are used as the production record data.

[0090] In this embodiment, the temperature distribution data refers to the temperature of various regions of the first roll material. Since the visible light image information includes wrinkle data of each roll material layer, this visible light image information, as the production record data, enables the training of deep neural networks.

[0091] Furthermore, this invention also provides a roll material temperature control device, characterized in that the roll material temperature control device includes:

[0092] The acquisition module is used to acquire temperature data of at least two roll material layers as they enter the pressing device and cooling control data of the composite roll, wherein the composite roll is obtained after at least two roll material layers enter the pressing device;

[0093] The identification module is used to determine the predicted quality of the composite roll material based on the at least two temperature data, the cooling control data, and the quality identification model. The predicted quality includes the wrinkle data of each roll material layer of the composite roll material.

[0094] The control module is used to determine the target control data of the composite roll processing equipment based on the predicted quality and the actual detected quality of the composite roll.

[0095] Furthermore, this invention also proposes a composite roll material processing device, characterized in that the composite roll material processing device includes: a memory, a processor, and a roll material temperature control program stored in the memory and executable on the processor, wherein the roll material temperature control program is configured to implement the steps of the roll material temperature control method described above.

[0096] Furthermore, embodiments of the present invention also propose a storage medium storing a roll material temperature control program, wherein when the roll material temperature control program is executed by a processor, it implements the steps of the roll material temperature control method described in any of the above claims.

[0097] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0098] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0099] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0100] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for controlling the temperature of rolled materials, characterized in that, The temperature control method for composite roll materials, applicable to composite roll material processing equipment, includes the following steps: The temperature data of at least two roll material layers entering the pressing device and the cooling control data of the composite roll are obtained, wherein the composite roll is obtained after at least two roll material layers enter the pressing device; The predicted quality of the composite roll is determined based on the at least two temperature data, the cooling control data, and the quality identification model. The predicted quality includes wrinkle data of each roll material layer of the composite roll. The target control data for the composite roll processing equipment is determined based on the predicted quality and the actual detected quality of the composite roll.

2. The method for controlling the temperature of rolled materials as described in claim 1, characterized in that, The step of determining the target control data of the composite roll processing equipment based on the predicted quality and the actual detected quality of the composite roll includes: When the actual test quality reaches the preset quality index, the temperature data and the cooling control data of the composite roll are determined as the target control data; When the actual test quality does not meet the preset quality index, and the preset quality index is the same as the actual test quality, adjust at least one of the preheating control data and the cooling control data of the two roll material layers according to the actual test quality, and return to the step of obtaining the temperature data of at least two roll material layers entering the pressing device and the cooling control data of the composite roll. When the actual detection quality does not meet the preset quality index, and the preset quality index and the actual detection quality are different, the quality identification model is adjusted according to the temperature data, the cooling control data, the preset quality index and the actual detection quality, and at least one of the preheating control data and the cooling control data of the two roll material layers is adjusted according to the actual detection quality, and the process returns to the step of obtaining the temperature data of at least two roll material layers entering the pressing device and the cooling control data of the composite roll.

3. The method for controlling the temperature of rolled materials as described in claim 2, characterized in that, The actual inspection quality includes: the number of wrinkles and the location of wrinkles. The step of adjusting at least one of the preheating control data and the cooling control data of the two roll material layers according to the actual inspection quality includes: When the folds are located on the surface of the roll material layer, the preheating control data of the roll material layer corresponding to the fold positions is adjusted according to the number of folds. When the folds are located at the interface between the two layers of the roll material, the preheating control data and the cooling control data are adjusted according to the number of folds.

4. The method for controlling the temperature of rolled materials as described in claim 1, characterized in that, The step of obtaining temperature data of at least two roll material layers upon entering the laminating device and cooling control data of the composite roll includes: The heating device is controlled to heat each area of ​​each roll material layer according to the preset heating settings; The infrared light sensor is controlled to collect infrared image data of each layer of the roll material, and the corresponding temperature image data is determined as the temperature data. The operating data of the cooling equipment is obtained as the cooling control data, and the cooling equipment is used to cool the composite roll.

5. The method for controlling the temperature of rolled materials as described in claim 4, characterized in that, Before the step of the controlled heating device heating each area of ​​each roll material layer according to the preset heating settings, the method further includes: The roll material layer is divided into multiple regions in the target direction; Generate corresponding preset heating settings based on the location of the area.

6. The method for controlling the temperature of roll materials as described in any one of claims 1 to 5, characterized in that, Before the step of determining the predicted quality of the composite roll material based on the at least two temperature data points, the cooling control data, and the quality identification model, the method further includes: Record the production data acquired by the composite roll processing equipment before the current moment; The quality identification model is obtained by training the neural network model based on the production record data.

7. The method for controlling the temperature of rolled materials as described in claim 6, characterized in that, The composite roll material processing equipment is equipped with optical sensors, including visible light sensors and infrared light sensors. The step of recording the production record data acquired by the composite roll material processing equipment before the current moment includes: The infrared light sensor is controlled to acquire infrared image information of the first roll material layer before the current moment, and the visible light sensor is controlled to acquire visible light image information of the first composite roll before the current moment. The temperature distribution data of the first roll material is determined based on the infrared image information; The temperature distribution data and the visible light image information are used as the production record data.

8. A roll material temperature control device, characterized in that, The roll material temperature control device includes: The acquisition module is used to acquire temperature data of at least two roll material layers as they enter the pressing device and cooling control data of the composite roll, wherein the composite roll is obtained after at least two roll material layers enter the pressing device; The identification module is used to determine the predicted quality of the composite roll material based on the at least two temperature data, the cooling control data, and the quality identification model. The predicted quality includes the wrinkle data of each roll material layer of the composite roll material. The control module is used to determine the target control data of the composite roll processing equipment based on the predicted quality and the actual detected quality of the composite roll.

9. A composite roll material processing equipment, characterized in that, The composite roll processing equipment includes: a memory, a processor, and a roll temperature control program stored in the memory and executable on the processor, the roll temperature control program being configured to implement the steps of the roll temperature control method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores a roll material temperature control program, which, when executed by a processor, implements the steps of the roll material temperature control method as described in any one of claims 1 to 7.

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