High-efficiency leather embossing method and system

Abstract

The application provides a high-efficiency leather embossing processing method and system. The method comprises the following steps: obtaining high-definition images of each leather to be embossed, extracting texture feature data of each leather to be embossed from the high-definition images, and predicting the softness of the corresponding leather to be embossed according to the texture feature data; determining the configuration mode of each sub-embossing head in the embossing head according to the target embossing pattern of each leather to be embossed, and controlling the embossing head to be in contact with and pressed down synchronously with each leather to be embossed; predicting the embossing holding time of each sub-embossing head according to the softness, and adjusting the working state of each sub-embossing head according to the embossing holding time. The application integrates multiple sub-embossing heads with different embossing patterns into the embossing head, so that simultaneous embossing of multiple patterns can be realized, and the problems of insufficient embossing and excessive embossing can be avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of leather processing and computer technology, in particular to a high-efficiency leather embossing processing method and system. BACKGROUND

[0002] It is well known that leather is widely used in many fields, such as automotive, furniture, clothing and shoemaking fields. The leather is usually embossed so as to obtain the desired patterns in the leather, which can be patterns imitating the skin features of another animal (such as a snake or a crocodile) to endow the leather with the skin features of full-grain leather, or artistic patterns.

[0003] The embossing is usually completed by a cylinder printing machine or a flatbed printing machine, but the embossing dies of the existing cylinder printing machine or flatbed printing machine are fixed, and only one piece of leather can be embossed with one pattern at a time. How to perform high-efficiency leather embossing processing is a technical problem to be solved at present. SUMMARY

[0004] To solve at least one of the above technical problems, the present application specifically provides a high-efficiency leather embossing processing method, system, electronic device, computer storage medium and computer program product.

[0005] The present application provides a high-efficiency leather embossing processing method, comprising the following steps:

[0006] High-definition images of each leather to be embossed are captured, and texture feature data of each leather to be embossed are extracted from the high-definition images, and softness of the corresponding leather to be embossed is predicted according to the texture feature data.

[0007] The configuration mode of each embossing sub-head in an embossing head is determined according to the target embossing pattern of each leather to be embossed, and the embossing head is controlled to be in contact with and pressed down synchronously with each leather to be embossed; wherein each embossing sub-head is configured with different embossing patterns.

[0008] The embossing retention time of each embossing sub-head is predicted according to the softness, and the working state of each embossing sub-head is regulated and controlled according to the embossing retention time.

[0009] Further, the high-definition images of each leather to be embossed are captured, comprising:

[0010] A first camera captures a first high-definition image of each leather to be embossed placed in order in an embossing target area, and / or a second camera captures a second high-definition image of leather of the same material as each leather to be embossed held by a user.

[0011] Further, the softness of each of the leathers to be embossed is predicted according to the texture feature data, including:

[0012] The texture feature data is divided into significant texture feature data and non-significant texture feature data; wherein the texture feature data at least includes color features, texture features, and pore features;

[0013] The significant texture feature data and the non-significant texture feature data are transmitted to a pre-labeled softness prediction model to obtain the predicted softness of each of the leathers to be embossed predicted by the softness prediction model.

[0014] Further, the texture feature data is divided into significant texture feature data and non-significant texture feature data, including:

[0015] The texture feature data is divided into color feature groups, texture feature groups, and pore feature groups, and the sub-feature distribution centralities of each group are calculated;

[0016] According to the high and low of the sub-feature distribution centralities, the color feature groups, the texture feature groups, and the pore feature groups are marked as significant texture feature data and non-significant texture feature data, respectively.

[0017] Further, the configuration mode of each embossing sub-head in the embossing head is determined according to the target embossing pattern of each leather to be embossed, including:

[0018] The target embossing pattern of each leather to be embossed and the layout position of each leather to be embossed are determined;

[0019] According to each target embossing pattern, the corresponding embossing sub-head is screened out, and according to each layout position, the layout position of each embossing sub-head in the embossing head is determined;

[0020] According to the layout position, each embossing sub-head is integrated into the embossing head and fixed.

[0021] Further, the embossing holding time of each embossing sub-head is determined according to the predicted softness, and the operation state of each embossing sub-head is regulated according to the embossing holding time, including:

[0022] The first embossing holding time of each embossing sub-head is determined according to the predicted softness;

[0023] It is judged whether adjacent embossing sub-heads are located on the same leather to be embossed; if yes, a first coefficient is generated, otherwise a second coefficient is generated; wherein the first coefficient is greater than the second coefficient;

[0024] use the first coefficient to correct the first embossing holding time of the embossing head with a smaller first embossing holding time of the adjacent plurality of embossing heads to obtain a second embossing holding time;

[0025] When the actual embossing holding time of each embossing head reaches the first embossing holding time or the second embossing holding time, the corresponding embossing head is controlled to end the pressing state of the leather to be embossed.

[0026] The application also provides a high-efficiency leather embossing processing system, comprising a shooting module, a first control module and a second control module.

[0027] The shooting module is used to shoot high-definition images of each leather to be embossed, extract texture feature data of each leather to be embossed from the high-definition images, and predict the softness of the corresponding leather to be embossed according to the texture feature data.

[0028] The first control module is used to determine the configuration mode of each embossing sub-head in the embossing head according to the target embossing pattern of each leather to be embossed, and control the embossing head to be in contact with and pressed down synchronously with each leather to be embossed, wherein each embossing sub-head is configured with different embossing patterns.

[0029] The second control module is used to predict the embossing holding time of each embossing sub-head according to the softness, and adjust the working state of each embossing sub-head according to the embossing holding time.

[0030] The application provides an electronic device, comprising a memory storing executable program codes, a processor coupled with the memory, and the processor invokes the executable program codes stored in the memory to execute the method according to any one of the preceding embodiments.

[0031] The application provides a computer storage medium, which stores a computer program, and the computer program is executed by a processor to execute the method according to any one of the preceding embodiments.

[0032] The application provides a computer program product, which comprises a computer program stored on a non-transitory computer readable medium, and the computer program is executed by a processor to implement the method according to any one of the preceding embodiments.

[0033] The application has the following beneficial effects:

[0034] 1、The embossing head is improved, and a plurality of embossing sub-heads configured with different embossing patterns are integrated into the embossing head, so that simultaneous embossing of multiple patterns can be realized.

[0035] 2、The present application can also identify the image of the leather to be embossed, predict the softness and hardness of the leather based on the texture feature data obtained by identification, and determine the embossing holding time of each embossing sub-head, that is, the embossing operation with different holding time is performed on the leather with different softness and hardness, so that the best embossing operation effect can be obtained for each leather, and the problems of poor embossing effect caused by excessive embossing and insufficient embossing are avoided. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be considered as limiting the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0037] Figure 1 is a flowchart of a high-efficiency leather embossing processing method disclosed by the embodiments of the present application;

[0038] Figure 2 is a structural schematic diagram of a high-efficiency leather embossing processing system disclosed by the embodiments of the present application. DETAILED DESCRIPTION

[0039] The exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to help understanding, and should be considered as merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Also, in order to be clear and concise, the description below omits the description of well-known functions and structures.

[0040] Referring to Figure 1 The present application provides a high-efficiency leather embossing processing method, as shown in the flowchart, which includes the following steps:

[0041] High-definition images of each leather to be embossed are captured, and texture feature data of each leather to be embossed are extracted from the high-definition images, and the softness of the corresponding leather to be embossed is predicted according to the texture feature data;

[0042] The configuration mode of each embossing sub-head in the embossing head is determined according to the target embossing pattern of each leather to be embossed, and the embossing head is controlled to be in contact with and pressed down synchronously with each leather to be embossed; wherein each embossing sub-head is configured with different embossing patterns;

[0043] According to the softness prediction, the embossing holding time of each embossing sub-head is obtained, and the operation state of each embossing sub-head is regulated according to the embossing holding time.

[0044] The conventional embossing head has one embossing sub-head, that is, only one pattern of embossing can be provided at a time. The embossing head is improved in the application, and multiple embossing sub-heads configured with different embossing patterns are integrated into the embossing head, so that multiple patterns of embossing can be realized at the same time. In addition, the application can also perform image recognition on the leather to be embossed, predict the softness of the leather based on the texture feature data obtained by recognition, and determine the embossing holding time of each embossing sub-head, that is, different holding times of embossing operation are performed on leathers with different softness, so as to ensure that each leather can obtain the best embossing operation effect, and avoid the problem of poor embossing effect caused by excessive or insufficient embossing.

[0045] Further, the high-definition images of each leather to be embossed are obtained by shooting, including:

[0046] The first camera shoots the first high-definition image of each leather to be embossed placed in the embossing target area, and / or the second camera shoots the second high-definition image of the leather of the same material as each leather to be embossed held by the user.

[0047] In the embodiment, two cameras are arranged on the leather embossing machine, one of which is aligned with the embossing target area, and the other is aligned with the operation area. After at least one leather to be embossed is placed in the embossing target area, the first camera shoots the first high-definition image from the embossing target area; and the user can also hold the leather of the same material as each leather to be embossed to the second camera, and the second camera shoots the second high-definition image.

[0048] The above two cameras can complement and cooperate with each other, for example, after one of the cameras is damaged, the other camera can be automatically turned on. Of course, the two cameras can also be manually switched by the user, and the details are not described herein.

[0049] Further, the softness of each leather to be embossed is predicted according to the texture feature data, including:

[0050] The texture feature data is divided into significant texture feature data and non-significant texture feature data; wherein the texture feature data at least includes color feature, texture feature, and pore feature;

[0051] The significant texture feature data and the non-significant texture feature data are transmitted to a pre-labeled softness prediction model to obtain the softness of each leather to be embossed predicted by the softness prediction model.

[0052] In the present embodiment, the existing leather softness test method is to clamp and fix the leather on the base of the tester, then lower the cylindrical load probe above the sample at a proper speed, and when it contacts the sample, it generates a downward pressure. The deformation of the sample is used to represent its softness. Obviously, this test method is not suitable for embossing machine.

[0053] To this end, the present application extracts the texture feature data of the corresponding leather from the high-definition image of the leather to be embossed by image recognition technology, which contains various texture features such as color, grain, and pore characteristics. A calibrated softness prediction model (preferably based on neural network algorithm) is used to predict the softness of the corresponding leather to be embossed. In addition, before inputting the texture feature data into the softness prediction model, the texture feature data is divided into significant texture feature data and non-significant texture feature data, and the corresponding group of texture feature data is input into the softness prediction model for analysis and calculation.

[0054] The softness prediction model mainly uses significant texture feature data to predict the type of leather (corresponding softness), and also uses non-significant texture feature data to verify the prediction results, so as to obtain more accurate leather type, and then obtain the softness corresponding to the leather type based on the preset corresponding relationship.

[0055] Further, the division of the texture feature data into significant texture feature data and non-significant texture feature data includes:

[0056] The texture feature data is divided into color feature group, grain feature group, and pore feature group, and the sub-feature distribution concentration of each group is calculated.

[0057] According to the high and low of the sub-feature distribution concentration, the color feature group, the grain feature group, and the pore feature group are marked as significant texture feature data and non-significant texture feature data, respectively.

[0058] In the present embodiment, the texture feature data of the leather to be embossed can be obtained by preliminary extraction, and all the features contained therein are divided into corresponding groups according to color features, grain features, and pore features. The sub-feature distribution concentration in each group is calculated, and according to the high and low of the sub-feature distribution concentration, it is distinguished whether each group belongs to significant texture feature or non-significant texture feature.

[0059] The sub-feature distribution concentration degree refers to the overall similarity of a plurality of sub-features (color features: black sub-feature, gray sub-feature, brown sub-feature, etc.; texture features: litchi texture, leopard texture, cross texture, diamond texture, etc.; pore features: flat round, a plurality of pore groups, and pore distance, etc.) in the corresponding group. If the overall similarity of the sub-features in the corresponding group is particularly high, for example, more than 90% are black and flat round pores, then the sub-feature distribution concentration degree of the color feature group and the pore feature group is high, while the sub-feature distribution concentration degree of the texture feature group is low. At this time, the color feature group and the pore feature group are set as significant texture feature data, and the texture feature group is set as non-significant texture feature data (for example, including 30% litchi texture, 20% leopard texture, 15% cross texture, etc., indicating that the texture is chaotic and has no significant characteristics).

[0060] Further, the configuration mode of each embossing sub-head in the embossing head according to the target embossing pattern of each leather to be embossed comprises:

[0061] determining the target embossing pattern of each leather to be embossed, and the layout position of each leather to be embossed;

[0062] According to each target embossing pattern, the corresponding embossing sub-head is selected, and according to each layout position, the layout position of each embossing sub-head in the embossing head is determined;

[0063] According to the layout position, each embossing sub-head is integrated into the embossing head and fixed.

[0064] In this embodiment, first, the target embossing pattern of each leather to be embossed is determined according to the preset demand instruction. Since different embossing sub-heads are specially configured with specific embossing patterns, the corresponding embossing sub-heads can be selected. Then, the high-definition image of each leather to be embossed placed in the embossing target area can be captured by the first camera (which can be the aforementioned first high-definition image or a newly captured third high-definition image), so as to determine the layout position of each leather to be embossed in the embossing target area. In this way, the arrangement mode of each embossing sub-head in the embossing head can be determined, so that each embossing sub-head corresponds to each leather to be embossed placed in the embossing target area, and when the embossing head is controlled to be pressed, each embossing sub-head can be in contact with and pressed against the corresponding leather to be embossed.

[0065] The above process can be completed by the embossing machine itself or with the assistance of a corresponding mechanical arm. For example, the mechanical arm selects the corresponding embossing sub-head based on the control instruction, and then arranges each embossing sub-head into the mounting slot of the embossing head according to the layout position information. The embossing head fixes each embossing sub-head therein.

[0066] Further, the first embossing holding time of each of the embossing sub-heads is obtained according to the softness of each of the leathers, and the working state of each of the embossing sub-heads is regulated according to the first embossing holding time, including:

[0067] The first embossing holding time of each of the embossing sub-heads is obtained according to the softness of each of the leathers;

[0068] It is judged whether the adjacent embossing sub-heads are located on the same leather to be embossed, and if yes, a first coefficient is generated, otherwise a second coefficient is generated; wherein the first coefficient is greater than the second coefficient;

[0069] The first embossing holding time of the embossing sub-heads with smaller first embossing holding time is corrected using the first coefficient to obtain a second embossing holding time;

[0070] When the actual embossing holding time of each of the embossing sub-heads reaches the first embossing holding time or the second embossing holding time, the corresponding embossing sub-heads are controlled to end the pressing state on the leather to be embossed.

[0071] In this embodiment, in the embossing operation on the leather, in order to ensure the stability of the embossing, the pressing state needs to be maintained for a certain time, for example, 7 hours. The softness of different leathers is different, and the recovery ability corresponding to different softness is also different, accordingly, the time length of maintaining different pressing state is also different. The corresponding relationship between this pressing state holding time and different leathers can be determined in advance, for example, a control table is established. Therefore, by looking up the table, the first embossing holding time of the leather with a specific softness type can be obtained, so that when the first embossing holding time is reached, the corresponding embossing sub-heads in the embossing head can be gradually lifted to end the embossing, and other embossing sub-heads continue to maintain the pressing state until the corresponding embossing holding time. Of course, when multiple leathers to be embossed are selected for synchronous embossing, leathers with similar embossing holding time are preferred.

[0072] Meanwhile, one or more leathers to be embossed can be placed in the embossed target area, and multiple embossing sub-heads can be configured in one-to-one or multiple-to-one with each leather to be embossed. If it is one-to-one, there is no connection force relationship between adjacent leathers, and when the adjacent embossing sub-heads are lifted, the pattern on the embossed leather will not be affected. If it is multiple-to-one (i.e., multiple embossing sub-heads simultaneously emboss different areas of a leather), when one of the embossing sub-heads is lifted, the pressure of the adjacent embossing sub-heads will extend the force to the pattern of the area that has been embossed, which can cause the leather in the area that has been embossed to recover faster, resulting in a shallower embossed pattern, and in severe cases, the pattern can be severely deformed. To this end, the present application uses a first coefficient to appropriately increase the embossing holding time of the embossing sub-head with a shorter embossing holding time when multiple target embossed patterns are located on the same leather to be embossed, so that the embossing holding time of the embossing sub-head is as close as possible to the embossing holding time of the adjacent embossing sub-heads performing embossing operations on the same leather to be embossed, thereby avoiding the above problems. The second coefficient can be 1, i.e., the first embossing holding time is not corrected when multiple target embossed patterns are located on the same leather to be embossed.

[0073] As shown in the Figure 2 embodiments of the present application provide a high-efficiency leather embossing processing system, which comprises a shooting module, a first control module and a second control module.

[0074] The shooting module is used to shoot and obtain high-definition images of each leather to be embossed, extract texture feature data of each leather to be embossed from the high-definition images, and predict the softness of the corresponding leather to be embossed according to each texture feature data.

[0075] The first control module is used to determine the configuration mode of each embossing sub-head in the embossing head according to the target embossed pattern of each leather to be embossed, and control the embossing head to contact and press each leather to be embossed synchronously. Each embossing sub-head is configured with different embossed patterns.

[0076] The second control module is used to predict the embossing holding time of each embossing sub-head according to each softness, and adjust the operation state of each embossing sub-head according to the embossing holding time.

[0077] The present application provides an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor invokes the executable program code stored in the memory to execute the method as described in the foregoing embodiments.

[0078] The application provides a computer storage medium, which has a computer program stored thereon, and the computer program is executed by a processor to perform the method in the foregoing embodiment.

[0079] The application provides a computer program product, which comprises a computer program stored on a non-transitory computer readable medium, and the computer program is executed by a processor to perform the method in the foregoing embodiment.

[0080] Various embodiments of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application-specific integrated circuit (ASIC), a complex programmable logic device (CPLD), a computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0081] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces a means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. The program code can be retrieved from a storage medium or from another source via a data network. The program code can be executed by the processor or controller to cause the functions / acts specified in the flowchart and / or block diagram block or blocks to be performed.

[0082] In the context of this disclosure, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include a lined- up electrical connection, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0083] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0084] It should be understood that various forms of flow shown above can be used, with steps reordered, added, or removed. For example, steps recited in the present disclosure can be performed in parallel, in series, or in a different order, without limitation herein, so long as the desired results of the technology disclosed in the present disclosure are achieved.

[0085] The specific embodiments discussed above do not constrain the scope of the present disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations and alternatives can be made to the specific embodiments without departing from the spirit and principles of the present disclosure. Any such modifications, equivalents, alternatives, and combinations, etc., are intended to fall within the scope of the present disclosure.

Claims

1. A highly efficient leather embossing process, characterized in that, Includes the following steps: High-resolution images of each type of leather to be embossed are captured. Texture feature data of each type of leather is extracted from the high-resolution images. The softness of the corresponding type of leather is predicted based on the texture feature data, including: The texture feature data is divided into color feature group, texture feature group, and pore feature group, and the distribution concentration of sub-features in each group is calculated. Based on the concentration of the sub-feature distribution, the color feature group, texture feature group, and pore feature group are respectively marked as significant texture feature data and non-significant texture feature data; wherein, the texture feature data includes at least color features, texture features, and pore features; The salient texture feature data and the non-salient texture feature data are transmitted to a pre-calibrated softness prediction model to obtain the softness of each of the leathers to be embossed, as predicted by the softness prediction model. The sub-feature distribution concentration refers to the overall similarity of several sub-features within a corresponding group, and the feature group with a high overall similarity of sub-features is the salient texture feature data. The configuration of each embossing sub-head in the embossing machine head is determined according to the target embossing pattern of each of the leathers to be embossed, and the embossing machine head is controlled to synchronously contact and press down with each of the leathers to be embossed; wherein, each of the embossing sub-heads is configured with a different embossing pattern; The embossing holding time of each embossing sub-head is determined based on the predicted softness, and the working state of each embossing sub-head is adjusted according to the embossing holding time.

2. The high-efficiency leather embossing method according to claim 1, characterized in that: The process of capturing high-resolution images of each leather to be embossed includes: The first camera captures a first high-resolution image of each of the leathers to be embossed neatly arranged within the embossing target area, and / or the second camera captures a second high-resolution image of a leather of the same material as each of the leathers to be embossed, held and displayed by the user.

3. The high-efficiency leather embossing method according to claim 1, characterized in that: The method of determining the configuration of each embossing sub-head in the embossing machine head according to the target embossing pattern of each of the leathers to be embossed includes: Determine the target embossing pattern for each of the leathers to be embossed, and the placement position of each of the leathers to be embossed; The corresponding embossing sub-heads are obtained by filtering according to each of the target embossing patterns, and the placement position of each of the embossing sub-heads in the embossing head is determined according to each of the placement positions. Each of the embossing sub-heads is integrated into the embossing head and fixed according to the specified layout position.

4. The high-efficiency leather embossing method according to claim 3, characterized in that: The step of predicting the embossing holding time of each embossing sub-head based on the softness of each part, and adjusting the working state of each embossing sub-head based on the embossing holding time, includes: The first embossing duration of each embossing sub-head is determined based on the predicted softness of each of the aforementioned embossing sub-heads; Determine whether adjacent embossing machine heads are located on the same leather to be embossed; if so, generate a first coefficient, otherwise generate a second coefficient; wherein the first coefficient is greater than the second coefficient; The first coefficient is used to correct the first embossing holding time of the adjacent embossing sub-heads that has a smaller first embossing holding time, so as to obtain a second embossing holding time; When the actual embossing holding time of each of the embossing sub-heads reaches the first embossing holding time or the second embossing holding time, the corresponding embossing sub-head is controlled to end the pressure state on the leather to be embossed.

5. A high-efficiency leather embossing system, said system being based on the method according to any one of claims 1-4, characterized in that: Includes a shooting module, a first control module, and a second control module; The shooting module is used to capture high-definition images of each leather to be embossed, extract texture feature data of each leather to be embossed from the high-definition images, and predict the softness of the corresponding leather based on the texture feature data. The first control module is used to determine the configuration of each embossing sub-head in the embossing machine head according to the target embossing pattern of each of the leathers to be embossed, and to control the embossing machine head to synchronously contact and press down with each of the leathers to be embossed; wherein each of the embossing sub-heads is configured with a different embossing pattern; The second control module is used to predict the embossing holding time of each of the embossing sub-heads based on the softness of each embossing sub-head, and to adjust the working state of each of the embossing sub-heads based on the embossing holding time.

6. An electronic device, comprising: Memory containing executable program code; A processor coupled to the memory; characterized in that: the processor calls the executable program code stored in the memory to perform the method as described in any one of claims 1-4.

7. A computer storage medium storing a computer program, characterized in that: The computer program is executed by the processor to perform the method as described in any one of claims 1-4.

8. A computer program product comprising a computer program stored on a non-transitory computer-readable medium, characterized in that: When the computer program is executed by a processor, it implements the method as described in any one of claims 1-4.

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