A method and system for controlling synchronous processing of sheets

Abstract

The present invention relates to the field of processing control technology, and in particular to a method and system for controlling synchronous processing of material sheets, the method comprising: acquiring a conveying area image of a conveying mechanism, identifying material sheets entering the conveying mechanism, determining a deviation angle between the material sheet and the conveying direction of the conveying mechanism, and a position of the material sheet in the conveying area image; determining a predicted time and a predicted position when the material sheet arrives at a guide mechanism; further determining material sheets of the same batch arriving at the end of the conveying mechanism, and a maximum position deviation of material sheets of the same batch, and determining an entrance width of the guide mechanism based on the maximum position deviation; adjusting an opening of the guide mechanism according to the entrance width, and adjusting the entrance width of the guide mechanism to a collimation width after determining that all material sheets of the same batch have entered the guide mechanism; and processing the material sheets arriving at the baffle when it is determined that the number of material sheets arriving at the baffle reaches a set number; the present invention ensures synchronous conveying and processing of the material sheets, and improves processing efficiency and product quality.

Description

Technical Field

[0001] The present invention relates to the technical field of processing control, and in particular to a method and system for controlling synchronous processing of material sheets. Background Art

[0002] Due to the long-term production of the ceramic rollers in the heating furnace, the surface of the furnace rollers is coated, and the diameter of the furnace rollers becomes larger. Different furnace rollers are used as sheets in the process of heating and conveying. When they come out of the furnace, they will appear one after the other. The slow sheet fails to reach the centering table at the set time. This leads to the following effects: 1. The centering finger cannot hit the position of the sheet, generating a fault alarm. 2. It is easy to cause the clamp to deform and damage. 3. The sheet cannot be correctly placed in the positioning range of the mold. 4. When the loading hand transports the sheet, the sheet is easy to fall and break the belt of the centering finger.

[0003] Therefore, in order to avoid the above-mentioned influences, how to ensure the synchronization of the time when the blanks are discharged from the furnace has become an urgent problem to be solved. Summary of the invention

[0004] The present invention aims to provide a method and system for controlling synchronous processing of sheets, aiming to ensure synchronous conveying and processing of sheets, and improve processing efficiency and product quality.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides a method for controlling synchronous processing of a sheet, the method comprising the following steps:

[0007] S100, acquiring a conveying area image of the conveying mechanism, wherein the conveying area image includes an image of an area where the conveying mechanism is located; wherein a camera for collecting the conveying area image is disposed above the conveying mechanism; a guide mechanism is disposed at the end of the conveying mechanism, wherein the guide mechanism is a clamping plate with an adjustable inlet width, and a baffle perpendicular to the conveying direction of the sheet is disposed at the outlet of the guide mechanism;

[0008] S200, identifying a sheet entering a conveying mechanism from the conveying region image, and determining a deviation angle between the sheet and a conveying direction of the conveying mechanism, and a position of the sheet in the conveying region image;

[0009] S300, determining a predicted time and a predicted position when the web arrives at the guide mechanism based on a deviation angle and a position of the web in a plurality of frames of images of the conveying region;

[0010] S400, determining the same batch of sheets arriving at the end of the conveying mechanism based on the predicted time, determining the maximum position deviation of the same batch of sheets based on the predicted position, and determining the entrance width of the guide mechanism based on the maximum position deviation;

[0011] S500, adjusting the opening of the guide mechanism according to the inlet width, and after determining that the same batch of sheets have entered the guide mechanism, adjusting the inlet width of the guide mechanism to a collimation width; wherein the collimation width is determined according to the number and diameter of the same batch of sheets;

[0012] S600, when it is determined that the number of sheets arriving at the baffle plate reaches a set number, the sheets arriving at the baffle plate are processed.

[0013] Optionally, in S200, identifying the sheet entering the conveying mechanism from the conveying area image, determining the deviation angle between the sheet and the conveying direction of the conveying mechanism, and the position of the sheet in the conveying area image includes:

[0014] S210, using a target detection algorithm to identify the sheet in the conveying area image;

[0015] S220, using an edge detection algorithm to identify the outline of the sheet, determine the minimum circumscribed rectangle of the outline, and use the center point of the minimum circumscribed rectangle as the position of the sheet in the conveying area image; and use the angle between the central axis of the two longer sides of the minimum circumscribed rectangle and the conveying direction of the conveying mechanism as the deviation angle.

[0016] Optionally, in S300, determining the predicted time and predicted position when the web arrives at the guide mechanism based on the deviation angle and position of the web in the multiple frames of the conveying area image includes:

[0017] S310, determining an angle deviation value of the material that changes with time based on the deviation angle of the material in the multiple frames of the conveying area image, and determining a moving speed of the material based on the position of the material in the multiple frames of the conveying area image;

[0018] S320, determining the predicted time when the sheet arrives at the end of the conveying mechanism based on the conveying distance of the conveying mechanism and the moving speed of the sheet, and determining the predicted position when the sheet arrives at the end of the conveying mechanism based on the angular deviation value of the sheet that changes with time and the predicted time.

[0019] Optionally, in S310, determining the angle deviation value of the web that changes with time based on the deviation angle of the web in the multiple frames of the conveying area image includes:

[0020] The optical flow method is used to estimate the deviation angle of the material in multiple frames of the conveying area image, and the difference between the deviation angles of the material in two adjacent frames of the conveying area image is calculated to obtain a rotation angle. The multiple consecutive rotation angles are formed into a rotation angle time series to obtain the angle deviation value of the material changing with time.

[0021] Optionally, in S310, determining the moving speed of the web based on the position of the web in the multiple frames of the conveying area image includes:

[0022] A target tracking algorithm is used to obtain the position of the outline of the sheet in multiple frames of continuous conveying area images, and the moving speed of the sheet is determined based on the position difference in multiple frames of continuous conveying area images and the acquisition frequency of the conveying area images.

[0023] Optionally, in S320, determining the predicted position of the web when it reaches the end of the conveying mechanism based on the angle deviation value of the web that changes with time and the predicted time includes:

[0024] S321, obtaining a rotation angle time series, performing data cleaning and normalization on the rotation angle time series, and obtaining a normalized time series;

[0025] S322, establishing a time series model, and training the time series model based on the normalized time series to obtain a trained time series model;

[0026] S323, inputting the predicted time into the trained time series model to obtain the predicted position of the sheet when it arrives at the end of the conveying mechanism.

[0027] Optionally, in S400, determining the same batch of sheets arriving at the end of the conveying mechanism based on the predicted time, determining the maximum position deviation of the same batch of sheets based on the predicted position, and determining the entrance width of the guide mechanism based on the maximum position deviation includes:

[0028] S410, obtaining a production rhythm, and determining a synchronization period according to the production rhythm;

[0029] S420, obtaining the sheets whose predicted time is within the current synchronization period as sheets from the same batch;

[0030] S430, determining the maximum position deviation of the same batch of sheets according to the predicted position of each sheet in the same batch of sheets; and determining the inlet width of the guide mechanism according to the maximum position deviation.

[0031] In a second aspect, an embodiment of the present invention provides a system for controlling synchronous processing of webs, the system comprising:

[0032] at least one processor;

[0033] at least one memory for storing at least one program;

[0034] When the at least one program is executed by the at least one processor, the at least one processor implements the method as described in any one of the first aspects.

[0035] The beneficial effects of the present invention are as follows: the present invention discloses a method and system for controlling synchronous processing of blanks, which realizes real-time monitoring and adjustment of the movement state of blanks by processing and analyzing the image of the conveying area entering the conveying mechanism, and effectively solves the problem of inconsistent time of blanks coming out of the furnace by unifying batches in the conveying mechanism and performing width alignment on the blanks in the same batch. The present invention ensures synchronous conveying and processing of blanks, and improves processing efficiency and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0037] Figure 1 is a schematic flow chart of a method for controlling synchronous processing of blanks in an embodiment of the present invention;

[0038] Figure 2 is a schematic diagram of a conveying mechanism in an embodiment of the present invention;

[0039] Figure 3 Schematic diagram of the structure of the system for controlling synchronous processing of blanks in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0041] In the related art, a widely used solution to the problem in the background art is to make the model provide the basis for judging whether it is correct while providing the confidence of its recognition. However, the above method can only provide uncertainty information of the data or model, but cannot use the uncertainty information to feed back to the network for training.

[0042] See also Figure 1 and Figure 2 , Figure 1 1 is a flow chart of a method for controlling synchronous processing of a sheet provided by the present invention, the method comprising the following steps:

[0043] S100, acquiring a conveying area image of the conveying mechanism, wherein the conveying area image includes an image of an area where the conveying mechanism is located; wherein a camera for collecting the conveying area image is disposed above the conveying mechanism; a guide mechanism is disposed at the end of the conveying mechanism, wherein the guide mechanism is a clamping plate with an adjustable inlet width, and a baffle perpendicular to the conveying direction of the sheet is disposed at the outlet of the guide mechanism;

[0044] Specifically, ensure that the camera is located above the conveying mechanism so as to capture the image of the conveying area. Ensure that the guide mechanism is located at the end of the conveying mechanism to guide the sheet to correctly enter the conveying mechanism. Control the conveying device to convey the sheet to the collection range of the camera. Use the image acquisition device to take a picture of the sheet to obtain the image of the sheet. Further processing or recognition is performed based on the captured image. The sheet in this embodiment is a cylindrical roller body, etc.

[0045] S200, identifying a sheet entering a conveying mechanism from the conveying region image, and determining a deviation angle between the sheet and a conveying direction of the conveying mechanism, and a position of the sheet in the conveying region image;

[0046] Specifically, the sheet entering the conveying mechanism is identified by conveying area image recognition; the deviation angle between the sheet and the preset motion trajectory of the conveying mechanism is calculated by image analysis; and the position of the sheet in the conveying mechanism is determined by locating the precise coordinates of the sheet in the image.

[0047] S300, determining a predicted time and a predicted position when the web arrives at the guide mechanism based on a deviation angle and a position of the web in a plurality of frames of images of the conveying region;

[0048] S400, determining the same batch of sheets arriving at the end of the conveying mechanism based on the predicted time, determining the maximum position deviation of the same batch of sheets based on the predicted position, and determining the entrance width of the guide mechanism based on the maximum position deviation;

[0049] It should be noted that, in the embodiment of the present invention, the entrance width of the guide mechanism is determined according to the predicted position, and the entrance width of the guide mechanism is controlled to adapt to the incoming materials of the same batch, thereby ensuring that the materials can smoothly enter the guide mechanism; by predicting and regulating the entrance width of the guide mechanism, batch calibration is performed on the materials of the same batch, thereby improving the adaptation efficiency.

[0050] S500, adjusting the opening of the guide mechanism according to the inlet width, and after determining that the same batch of sheets have entered the guide mechanism, adjusting the inlet width of the guide mechanism to a collimation width; wherein the collimation width is determined according to the number and diameter of the same batch of sheets;

[0051] Specifically, the collimation width does not exceed the product of the number and diameter of the same batch of sheets. For example, the number and diameter of the same batch of sheets are multiplied to obtain the collimation width; or the number and diameter of the same batch of sheets are multiplied and then reduced by a certain proportion to obtain the collimation width; after determining that the same batch of sheets have all entered the guide mechanism, the entrance width of the guide mechanism is adjusted to the collimation width, thereby performing position calibration on the same batch of sheets.

[0052] By continuously monitoring the position and deviation angle of the sheet on the conveying mechanism, the entrance width of the guide mechanism is adjusted in time to keep it consistent with the movement trajectory of the sheet, ensuring that the sheet can be accurately conveyed to the target position along the predetermined path.

[0053] S600, when it is determined that the number of sheets arriving at the baffle plate reaches a set number, the sheets arriving at the baffle plate are processed.

[0054] In summary, the present invention provides a method for controlling the synchronous processing of material sheets, which realizes real-time monitoring and adjustment of the movement state of the material sheets by processing and analyzing the image of the conveying area entering the conveying mechanism, effectively ensures the synchronous conveying and processing of the material sheets, and improves the processing efficiency and product quality.

[0055] In some embodiments, in S200, identifying the sheet entering the conveying mechanism from the conveying area image, determining the deviation angle between the sheet and the conveying direction of the conveying mechanism, and the position of the sheet in the conveying area image includes:

[0056] S210, using a target detection algorithm to identify the sheet in the conveying area image;

[0057] S220, using an edge detection algorithm to identify the outline of the sheet, determine the minimum circumscribed rectangle of the outline, and use the center point of the minimum circumscribed rectangle as the position of the sheet in the conveying area image; and use the angle between the central axis of the two longer sides of the minimum circumscribed rectangle and the conveying direction of the conveying mechanism as the deviation angle.

[0058] Specifically, after the conveying area image is acquired by the camera, the conveying area image is preprocessed to improve the accuracy of subsequent processing steps. Preprocessing includes graying, filtering and denoising, contrast enhancement, etc. Then, the target detection algorithm is used to identify the sheet in the conveying area image, and then the edge detection algorithm (such as the Canny edge detector) is used to identify the sheet outline and determine the position of the sheet in the image; finally, the optical flow method is used to determine the displacement of the sheet; by analyzing the geometric features and direction of the sheet, the accuracy and robustness of sheet identification are improved, and the deviation angle of the sheet relative to the conveying direction of the conveying mechanism is accurately calculated.

[0059] In some embodiments, in S300, determining the predicted time and predicted position when the web arrives at the guide mechanism based on the deviation angle and position of the web in the multiple frames of the conveying area image includes:

[0060] S310, determining an angle deviation value of the material that changes with time based on the deviation angle of the material in the multiple frames of the conveying area image, and determining a moving speed of the material based on the position of the material in the multiple frames of the conveying area image;

[0061] S320, determining the predicted time when the sheet arrives at the end of the conveying mechanism based on the conveying distance of the conveying mechanism and the moving speed of the sheet, and determining the predicted position when the sheet arrives at the end of the conveying mechanism based on the angular deviation value of the sheet that changes with time and the predicted time.

[0062] In some embodiments, in S310, determining the angle deviation value of the web that changes with time based on the deviation angle of the web in multiple frames of the conveying area image includes:

[0063] The optical flow method is used to estimate the deviation angle of the material in multiple frames of the conveying area image, and the difference between the deviation angles of the material in two adjacent frames of the conveying area image is calculated to obtain a rotation angle. The multiple consecutive rotation angles are formed into a rotation angle time series to obtain the angle deviation value of the material changing with time.

[0064] Specifically, the deviation angles of the sheet in the two frames of the conveying area image are selected in chronological order to obtain the difference; the obtained multiple differences are sequenced in chronological order to obtain a time series.

[0065] In some embodiments, in S310, determining the moving speed of the web based on the position of the web in the multiple frames of the conveying area image includes:

[0066] A target tracking algorithm is used to obtain the position of the outline of the sheet in multiple frames of continuous conveying area images, and the moving speed of the sheet is determined based on the position difference in multiple frames of continuous conveying area images and the acquisition frequency of the conveying area images.

[0067] Specifically, the acquisition frequency of the conveying area image can be used to determine the acquisition time interval between two adjacent frames of the conveying area image; the position difference between two adjacent frames of the conveying area image is divided by the acquisition time interval to obtain a speed value; and the moving speed of the sheet can be obtained by averaging multiple speed values.

[0068] In some embodiments, in S320, determining the predicted position of the web when it reaches the end of the conveying mechanism based on the angle deviation value of the web that changes with time and the predicted time includes:

[0069] S321, obtaining a rotation angle time series, performing data cleaning and normalization on the rotation angle time series, and obtaining a normalized time series;

[0070] Specifically, after establishing the corresponding relationship between the unit rotation angle of the sheet and the time, the data is cleaned to remove outliers and noise to ensure data quality. The data is normalized to have a unified dimension and range.

[0071] S322, establishing a time series model, and training the time series model based on the normalized time series to obtain a trained time series model;

[0072] Specifically, the time series model represents the corresponding relationship between the rotation angle of the sheet and time. The time series model is trained using a normalized time series. The accuracy and reliability of the prediction results of the time series model are verified using indicators such as mean square error (MSE) and root mean square error (RMSE). The time series model is adjusted and optimized according to the verification results to obtain a trained time series model. The trained time series model is applied to new data for prediction or analysis.

[0073] S323, inputting the predicted time into the trained time series model to obtain the predicted position of the sheet when it arrives at the end of the conveying mechanism.

[0074] In the embodiment provided by the present invention, the physical properties of the sheet, the motion characteristics of the conveying mechanism, and the accuracy of image acquisition are considered, and time series analysis is used to reveal the pattern and trend of the deviation angle of the sheet over time. By predicting the change in the deviation angle of the sheet, measures can be taken in advance to optimize the conveying process and improve production efficiency and quality. By determining the angular deviation value of the sheet over time, it is convenient to subsequently determine the predicted position of the sheet when it arrives at the guide mechanism. The movement of the sheet during the conveying process can be effectively monitored and adjusted to ensure that it enters the next production link correctly.

[0075] In some embodiments, in S400, determining the same batch of webs arriving at the end of the conveying mechanism based on the predicted time, determining the maximum position deviation of the same batch of webs based on the predicted position, and determining the entrance width of the guide mechanism based on the maximum position deviation includes:

[0076] S410, obtaining a production rhythm, and determining a synchronization period according to the production rhythm;

[0077] S420, obtaining the sheets whose predicted time is within the current synchronization period as sheets from the same batch;

[0078] S430, determining the maximum position deviation of the same batch of sheets according to the predicted position of each sheet in the same batch of sheets; and determining the inlet width of the guide mechanism according to the maximum position deviation.

[0079] It should be noted that the inlet width should be large enough to allow the sheet to pass smoothly under the maximum deviation, and at the same time should be as small as possible to reduce the lateral movement of the sheet during the conveying process and improve the conveying efficiency.

[0080] In addition, refer to Figure 3 One embodiment of the present invention further provides a system for controlling synchronous processing of blanks, the system comprising:

[0081] at least one processor;

[0082] at least one memory for storing at least one program;

[0083] When the at least one program is executed by the at least one processor, the at least one processor implements the method in the above embodiment.

[0084] It can be seen that the contents of the above method embodiments are all applicable to the present system embodiments, the functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0085] In addition, an embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are executed by a processor or controller, for example, by a processor in the above-mentioned electronic device embodiment, so that the above-mentioned processor can execute the method in the above-mentioned embodiment.

[0086] Similarly, the contents of the above method embodiments are all applicable to the present storage medium embodiments. The functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0087] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CDROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0088] The above is a specific description of the preferred implementation of the present disclosure, but the present disclosure is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions without violating the spirit of the present disclosure. These equivalent deformations or substitutions are all included in the scope defined by the claims of the present disclosure.

Claims

1. A method for controlling synchronous processing of a sheet, characterized in that: The method comprises the following steps: S100, acquiring a conveying area image of the conveying mechanism, wherein the conveying area image includes an image of an area where the conveying mechanism is located; wherein a camera for collecting the conveying area image is disposed above the conveying mechanism; a guide mechanism is disposed at the end of the conveying mechanism, wherein the guide mechanism is a clamping plate with an adjustable inlet width, and a baffle perpendicular to the conveying direction of the sheet is disposed at the outlet of the guide mechanism; S200, identifying a sheet entering a conveying mechanism from the conveying region image, and determining a deviation angle between the sheet and a conveying direction of the conveying mechanism, and a position of the sheet in the conveying region image; S300, determining a predicted time and a predicted position when the web arrives at the guide mechanism based on a deviation angle and a position of the web in a plurality of frames of images of the conveying region; S400, determining the same batch of sheets arriving at the end of the conveying mechanism based on the predicted time, determining the maximum position deviation of the same batch of sheets based on the predicted position, and determining the entrance width of the guide mechanism based on the maximum position deviation; S500, adjusting the opening of the guide mechanism according to the inlet width, and after determining that the same batch of sheets have entered the guide mechanism, adjusting the inlet width of the guide mechanism to a collimation width; wherein the collimation width is determined according to the number and diameter of the same batch of sheets; S600, when it is determined that the number of sheets arriving at the baffle plate reaches a set number, the sheets arriving at the baffle plate are processed; In S200, the step of identifying the sheet entering the conveying mechanism from the conveying region image, and determining the deviation angle between the sheet and the conveying direction of the conveying mechanism, and the position of the sheet in the conveying region image, includes: S210, using a target detection algorithm to identify the sheet in the conveying area image; S220, using an edge detection algorithm to identify the outline of the sheet, determine the minimum circumscribed rectangle of the outline, and use the center point of the minimum circumscribed rectangle as the position of the sheet in the conveying area image; and use the angle between the central axis of the two longer sides of the minimum circumscribed rectangle and the conveying direction of the conveying mechanism as the deviation angle; In S300, the step of determining the predicted time and predicted position of the web when it reaches the guide mechanism based on the deviation angle and position of the web in the multiple frames of the conveying area image includes: S310, determining an angle deviation value of the material that changes with time based on the deviation angle of the material in the multiple frames of the conveying area image, and determining a moving speed of the material based on the position of the material in the multiple frames of the conveying area image; S320, determining a predicted time when the web arrives at the end of the conveying mechanism based on the conveying distance of the conveying mechanism and the moving speed of the web, and determining a predicted position when the web arrives at the end of the conveying mechanism based on the angle deviation value of the web that changes with time and the predicted time; In S400, the determining of the same batch of sheets arriving at the end of the conveying mechanism based on the predicted time, determining the maximum position deviation of the same batch of sheets based on the predicted position, and determining the entrance width of the guide mechanism based on the maximum position deviation includes: S410, obtaining a production rhythm, and determining a synchronization period according to the production rhythm; S420, obtaining the sheets whose predicted time is within the current synchronization period as sheets from the same batch; S430, determining the maximum position deviation of the same batch of sheets according to the predicted position of each sheet in the same batch of sheets; and determining the inlet width of the guide mechanism according to the maximum position deviation.

2. A method for controlling synchronous processing of blanks according to claim 1, characterized in that: In S310, determining the angle deviation value of the web that changes with time based on the deviation angle of the web in the multiple frames of the conveying area image includes: The optical flow method is used to estimate the deviation angle of the material in multiple frames of the conveying area image, and the difference between the deviation angles of the material in two adjacent frames of the conveying area image is calculated to obtain a rotation angle. The multiple consecutive rotation angles are formed into a rotation angle time series to obtain the angle deviation value of the material changing with time.

3. A method for controlling synchronous processing of blanks according to claim 2, characterized in that: In S310, determining the moving speed of the web based on the position of the web in the multiple frames of the conveying area image includes: A target tracking algorithm is used to obtain the position of the outline of the sheet in multiple frames of continuous conveying area images, and the moving speed of the sheet is determined based on the position difference in multiple frames of continuous conveying area images and the acquisition frequency of the conveying area images.

4. A method for controlling synchronous processing of blanks according to claim 3, characterized in that: In S320, determining the predicted position of the web when it reaches the end of the conveying mechanism based on the angle deviation value of the web that changes with time and the predicted time includes: S321, obtaining a rotation angle time series, performing data cleaning and normalization on the rotation angle time series, and obtaining a normalized time series; S322, establishing a time series model, and training the time series model based on the normalized time series to obtain a trained time series model; S323, inputting the predicted time into the trained time series model to obtain the predicted position of the sheet when it arrives at the end of the conveying mechanism.

5. A system for controlling synchronous processing of webs, characterized in that: The system comprises: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 4.

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