Color changing film automatic laminating control method and system

Abstract

The invention provides a color change film automatic lamination control method and system, and relates to the technical field of lamination control, and the method comprises the steps: carrying out the image collection of a to-be-laminated surface in a to-be-laminated object through a first industrial camera, and obtaining a first image set; performing image acquisition on the to-be-laminated film through a second industrial camera to obtain a second image set; cooperating with the first image set and the second image set to obtain a three-dimensional laminating positioning model, and obtaining a predicted laminating degree of the to-be-laminated surface and the to-be-laminated film according to the three-dimensional laminating positioning model; if the predicted fitting degree reaches a preset fitting degree limit value, introducing a fitting control optimization strategy to obtain an optimal fitting control scheme; and a laminating pressing plate in the laminating equipment is started, and the to-be-laminated film is laminated to the to-be-laminated surface based on the optimal laminating control scheme, so that a film-laminated object is obtained. The technical problem that in the prior art, the precision is low in the laminating process of the to-be-laminated film can be solved, and the technical effect of improving the laminating precision is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of conformal control, and particularly relates to a color-changing film automatic conformal control method and system. BACKGROUND

[0002] In modern manufacturing, especially in the precise film pasting application scenarios such as color-changing of automobile appearance and beautifying of consumer electronic product shell, the automatic film pasting technology gradually replaces the traditional manual pasting method, and becomes a key link to improve production efficiency, ensure the consistency of film pasting and the quality of appearance.

[0003] At present, the existing technology mostly adopts plane shooting for image acquisition before pasting, which is difficult to accurately establish a real three-dimensional surface model of the target object, resulting in low precision of film positioning and pasting path planning. Secondly, the parameter regulation in the pasting process is mostly preset or relies on fixed experience values, and cannot be dynamically adjusted according to real-time environment (such as temperature and humidity) and film object properties (such as film thickness and curvature), which is easy to cause defects such as bubbles, wrinkles or edge lifting in the pasting process. Thirdly, the existing pasting evaluation mechanism is usually based on manual detection or simple post-pasting image comparison, and cannot realize real-time quality prediction and optimization in the pasting process, and the pasting abnormality discovery and correction lag, which affects the final product yield. In addition, after the pasting abnormality occurs, there is a lack of precise coordinate feedback mechanism, which cannot adjust the local error in a targeted manner, resulting in an increase in the whole film rejection rate and resource waste.

[0004] In summary, the existing technology has the technical problems of low pasting path planning precision, frequent pasting defects and untimely regulation response due to insufficient image acquisition dimension before pasting and rigid pasting parameter regulation mechanism, which further affects the precision control, product yield and material utilization rate in the pasting process of the film to be pasted. SUMMARY

[0005] The purpose of the present application is to provide a color-changing film automatic conformal control method and system to solve the technical problems of low pasting path planning precision, frequent pasting defects and untimely regulation response due to insufficient image acquisition dimension before pasting and rigid pasting parameter regulation mechanism in the existing technology, which further affects the precision control, product yield and material utilization rate in the pasting process of the film to be pasted.

[0006] In view of the above problems, the present application provides a color-changing film automatic conformal control method and system.

[0007] In a first aspect, the present application provides an automatic control method for color-changing film lamination, comprising: acquiring images of a lamination surface of a lamination object by a first industrial camera, to obtain a first image set, wherein the lamination object is fixed on a stage of a lamination device; acquiring images of a lamination film by a second industrial camera, to obtain a second image set, wherein the lamination film is fixed by an adsorption assembly in the lamination device; obtaining a three-dimensional lamination positioning model based on the first image set and the second image set, and obtaining a predicted lamination degree of the lamination surface and the lamination film based on the three-dimensional lamination positioning model; if the predicted lamination degree reaches a predetermined lamination degree limit value, introducing a lamination control optimization strategy to obtain an optimal lamination control scheme; starting a lamination press plate in the lamination device, and laminating the lamination film to the lamination surface based on the optimal lamination control scheme, to obtain a laminated object.

[0008] Preferably, the automatic control method for color-changing film lamination further comprises: sequentially obtaining a first coordinate point and a second coordinate point of the lamination surface in the three-dimensional lamination positioning model; matching a third coordinate point and a fourth coordinate point of the lamination film corresponding to the first coordinate point and the second coordinate point in the three-dimensional lamination positioning model; calculating a first spatial distance from the first coordinate point to the third coordinate point; calculating a second spatial distance from the second coordinate point to the fourth coordinate point; and representing the predicted lamination degree by a spatial distance deviation of the normalized first spatial distance and the second spatial distance.

[0009] Preferably, the automatic control method for color-changing film lamination further comprises: if the predicted lamination degree does not reach the predetermined lamination degree limit value, calling a lamination adjustment strategy; arranging the first spatial distance and the second spatial distance in ascending order according to the lamination adjustment strategy, to obtain a spatial distance ascending list; obtaining a first to-be-adjusted spatial distance according to the spatial distance ascending list; taking a spatial distance median of the spatial distance ascending list, and combining the first to-be-adjusted spatial distance to form a first adjustment constraint; and adjusting a first to-be-adjusted coordinate point corresponding to the first to-be-adjusted spatial distance under the first adjustment constraint.

[0010] Preferably, the automatic control method for color-changing film lamination further comprises: extracting a front 30% spatial distance and a rear 30% spatial distance in the spatial distance ascending list to form a to-be-adjusted spatial distance set; and extracting any one spatial distance in the to-be-adjusted spatial distance set as the first to-be-adjusted spatial distance; wherein the first to-be-adjusted spatial distance set refers to a spatial distance between a first to-be-adjusted coordinate point of the lamination surface and a second to-be-adjusted coordinate point of the lamination film.

[0011] Preferably, the automatic attaching control method of the color-changing film further comprises: matching a first adsorption head corresponding to the first to-be-adjusted coordinate point in the adsorption assembly; obtaining a first adjustment height based on the first adjustment constraint, and performing position adjustment of the first adsorption head by the first adjustment height.

[0012] Preferably, the automatic attaching control method of the color-changing film further comprises: collecting a set of attaching influence parameters according to a predetermined attaching factor in the attaching control optimization strategy; performing weighted analysis on the set of attaching influence parameters to obtain an attaching influence coefficient; adjusting a reference attaching control scheme according to the attaching influence coefficient to obtain the optimal attaching control scheme; wherein the predetermined attaching factor comprises an attaching environment factor and a to-be-attached film characteristic factor, the attaching environment factor comprises an environmental temperature and an environmental humidity, the to-be-attached film characteristic factor comprises a material, a thickness, and an attaching area, and the reference attaching control scheme comprises a reference attaching control speed and a reference attaching control pressure.

[0013] Preferably, the automatic attaching control method of the color-changing film further comprises: obtaining an attaching control record of the attached film object; analyzing and extracting the attaching control record according to a predetermined attaching evaluation index to obtain an attaching adaptability of attaching the to-be-attached film to the to-be-attached surface; wherein the predetermined attaching evaluation index comprises an attaching quality, an attaching energy consumption, and an attaching efficiency.

[0014] Preferably, the automatic attaching control method of the color-changing film further comprises: collecting an attaching effect diagram of the attached film object; extracting a first attaching effect of a first edge in the attaching effect diagram, wherein the first attaching effect comprises a first film edge point and a first surface edge point; comparing the first film edge point and the first surface edge point to obtain a first set of attaching distances of the first edge; taking a difference between a maximum distance and a minimum distance in the first set of attaching distances, and normalizing the difference as a representation of the attaching quality.

[0015] In a second aspect, the application further provides an automatic color-changing film attaching control system, comprising: a first image acquisition module configured to acquire images of a to-be-attached surface in a to-be-attached object by a first industrial camera to obtain a first image set, wherein the to-be-attached object is fixed on a stage of an attaching device; a second image acquisition module configured to acquire images of a to-be-attached film by a second industrial camera to obtain a second image set, wherein the to-be-attached film is fixed by an adsorption assembly in the attaching device; an image set coordination module configured to obtain a three-dimensional attaching positioning model by coordinating the first image set and the second image set, and obtain a predicted attaching degree of the to-be-attached surface and the to-be-attached film according to the three-dimensional attaching positioning model; an optimal attaching control scheme acquisition module configured to introduce an attaching control optimization strategy to obtain an optimal attaching control scheme if the predicted attaching degree reaches a predetermined attaching degree limit value; and an attaching module configured to start an attaching platen in the attaching device, and attach the to-be-attached film to the to-be-attached surface based on the optimal attaching control scheme to obtain an object with an attached film.

[0016] In a third aspect, a computer-readable storage medium having a computer program stored thereon, the computer program, when executed, implements the steps of the automatic color-changing film attaching control method of any one of the first aspect.

[0017] The technical solutions provided in the application have at least the following technical effects or advantages: by achieving the technical target of high-precision film matching and dynamic attaching parameter optimization based on a three-dimensional attaching positioning model, the technical effects of improving attaching precision, reducing defect rate, improving production efficiency and material utilization rate are achieved.

[0018] The above description is only a summary of the technical solutions of the application. In order to enable one of ordinary skill in the art to better understand the technical means of the application and implement it according to the content of the description, and in order to enable the above and other purposes, features and advantages of the application to be more apparent and understandable, the specific embodiments of the application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the application or the prior art, the following will briefly introduce the drawings needed in the embodiments or the prior art description. Obviously, the drawings in the following description are only exemplary, and those skilled in the art can obtain other drawings without creative labor based on the provided drawings.

[0020] Figure 1 The flowchart of the automatic color-changing film attaching control method of the application is shown.

[0021] Figure 2 This is a schematic diagram of the automatic bonding control system for the color-changing film of this application.

[0022] Explanation of reference numerals in the attached figures: First image acquisition module 11, Second image acquisition module 12, Image set collaboration module 13, Optimal bonding control scheme acquisition module 14, Bonding module 15. Detailed Implementation

[0023] This application provides an automatic bonding control method and system for color-changing films, solving the technical problems in existing technologies where insufficient image acquisition dimensions before bonding and rigid bonding parameter adjustment mechanisms lead to low bonding path planning accuracy, frequent bonding defects, and untimely control responses, further affecting the precision control, product yield, and material utilization rate of the film to be bonded during the bonding process. It achieves the technical goal of high-precision film material matching and dynamic bonding parameter optimization based on a three-dimensional bonding positioning model, thereby improving bonding accuracy, reducing defect rates, and increasing production efficiency and material utilization.

[0024] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0025] Example 1, please refer to the appendix. Figure 1 This application provides an automatic bonding control method for color-changing film, which specifically includes the following steps: S1: The first industrial camera acquires images of the surface to be bonded in the object to be bonded, and obtains a first image set, wherein the object to be bonded is fixed on the stage of the bonding equipment.

[0026] Specifically, the first industrial camera is a high-precision camera positioned on the side of the surface to be bonded. This camera features high resolution, high frame rate, and strong anti-interference capabilities, and is used in industrial applications. For example, it can be used for automated production line inspection, dimensional measurement, or position recognition. The object to be bonded refers to the object to which the film needs to be bonded, such as a vehicle body panel or an electrical appliance casing. The surface to be bonded is the exposed outer surface of the object to be bonded. Image acquisition involves using the first industrial camera to convert visual information on the surface to be bonded into image data by setting the angle, lighting, and focus conditions, thus obtaining a first image set. The stage of the bonding equipment is a mechanical platform used to fix the object to be bonded. It possesses stability, positioning accuracy, and the ability to adapt to workpieces of different sizes, and may employ vacuum adsorption, mechanical clamping, or magnetic fixation methods. By stably placing the object to be bonded on the stage, positional deviations caused by shaking during the bonding process can be avoided, improving overall bonding accuracy.

[0027] S2: The second industrial camera acquires images of the film to be laminated, resulting in a second image set, wherein the film to be laminated is adsorbed and fixed by the adsorption component in the lamination equipment.

[0028] Specifically, the second industrial camera is an industrial vision unit positioned on the side of the film to be laminated, possessing high resolution, low latency, and precise imaging capabilities. The film to be laminated is a thin film material with visual decorative or functional properties, used in scenarios such as automotive modification and beautification of 3C product casings, and may have specific elasticity, thickness, and gloss. When the film to be laminated enters the lamination preparation stage, the second industrial camera acquires images of the film under set lighting and parameter conditions, primarily identifying information such as film edges, color, local wrinkles, and pre-layout status. The optical image signals from the surface of the film to be laminated are converted into digital image data, resulting in a second image set.

[0029] Next, the adsorption assembly is a key mechanical component in the lamination equipment. It consists of multiple adsorption heads, each of which is a small vacuum suction cup or electrostatic adsorption unit. It flattens and fixes a local area of ​​the film to be laminated by generating negative pressure or electric field attraction. Because the film material to be laminated is thin and soft, it needs to be flattened and kept stable by the adsorption assembly before lamination. This prevents the film material from shifting, wrinkling, or curling at the edges during image acquisition or lamination, ensuring accurate calculation of the subsequent lamination path.

[0030] S3: A three-dimensional bonding positioning model is obtained by combining the first image set and the second image set, and the predicted bonding degree between the surface to be bonded and the film to be bonded is obtained based on the three-dimensional bonding positioning model.

[0031] Specifically, the first image set consists of images of the surfaces to be bonded, captured by a first industrial camera, reflecting their true geometric shape and texture features. The second image set comprises images of the film to be bonded, recording its shape, position, and boundary features. Collaboration involves jointly processing the first and second image sets using registration, pairing, or fusion algorithms to construct a comprehensive 3D model reflecting the relative relationship between the two bonding surfaces. This results in a 3D bonding and positioning model, providing a foundation for bonding accuracy and motion control.

[0032] Subsequently, the predicted adhesion degree between the surface to be bonded and the film to be bonded is obtained based on the three-dimensional bonding positioning model. The three-dimensional bonding positioning model not only provides the coordinate information of the object and the film to be bonded in space, but can also be used to determine whether there are height differences, angular offsets, or other issues between them. By using spatial distance to evaluate the predicted adhesion degree, the quality of the pre-bonding state can be predicted.

[0033] S4: If the predicted fit degree reaches the predetermined fit degree limit, then a fit control optimization strategy is introduced to obtain the optimal fit control scheme.

[0034] Specifically, a higher predicted fit value indicates more precise bonding. The predetermined fit limit is a manually set benchmark used to determine whether the current bonding state meets the process requirements. For example, a value of 0.95 means that a predicted fit of 95% or higher is considered an acceptable bonding effect. When the predicted fit reaches the predetermined fit limit, the bonding quality predicted based on pre-bonding data has met the set qualification standard. This leads to the introduction of a bonding control optimization strategy, which further optimizes the control process under the premise that the current bonding meets the standard, thereby achieving the optimal balance between bonding efficiency and energy consumption. The bonding control optimization strategy includes parameter weight allocation, calculating the optimal bonding control scheme based on historical data and current operating conditions.

[0035] S5: Start the bonding platen in the bonding device, and bond the film to be bonded to the surface to be bonded based on the optimal bonding control scheme to obtain the film-bonded object.

[0036] Specifically, starting the laminating platen in the laminating equipment activates the platen assembly used to apply mechanical pressure, causing it to begin moving and preparing for the laminating operation. The laminating platen is typically controlled by an electric or pneumatic drive system, and its function is to firmly press the film to be laminated onto the surface to be laminated, ensuring full contact between the film and the object surface.

[0037] Based on the optimal bonding control scheme, the film to be bonded is applied to the surface to be bonded. The specific bonding operation is performed according to the optimal bonding control scheme to obtain the film-bonded object, thus forming a finished product with the expected appearance and function. The film-bonded object is the final output of the bonding process, and can then proceed to appearance inspection, edge trimming, or packaging processes.

[0038] Furthermore, this application also includes: sequentially obtaining the first coordinate point and the second coordinate point of the surface to be bonded in the three-dimensional bonding positioning model; matching the third coordinate point and the fourth coordinate point of the film to be bonded, which correspond to the first coordinate point and the second coordinate point, respectively, in the three-dimensional bonding positioning model; calculating the first spatial distance from the first coordinate point to the third coordinate point; calculating the second spatial distance from the second coordinate point to the fourth coordinate point; and using the spatial distance deviation between the normalized first spatial distance and the second spatial distance to characterize the predicted bonding degree.

[0039] Specifically, the 3D bonding and positioning model is a 3D spatial model reconstructed by fusing images captured by multi-angle industrial cameras. In the 3D bonding and positioning model, the first coordinate point and the second coordinate point are two spatial locations randomly selected from the surface to be bonded, used for subsequent bonding accuracy judgment. For example, they can be located at the left and right ends or the top and bottom corners of the bonding surface to cover representative features of the entire area.

[0040] Next, in the 3D bonding positioning model, the corresponding third and fourth coordinate points on the film to be bonded are found for the first and second coordinate points, respectively. Specifically, the first coordinate point in the 3D bonding positioning model corresponds to the third coordinate point on the film to be bonded, and the second coordinate point in the 3D bonding positioning model corresponds to the fourth coordinate point on the film to be bonded. The matching process is achieved by calculating the points with the shortest distance or the closest edge features, establishing a one-to-one spatial pairing relationship between the bonding surface and the film material, facilitating subsequent error analysis.

[0041] Subsequently, the spatial distance between the first and third coordinate points, i.e., the first spatial distance, is calculated. This represents the linear difference in three-dimensional space between a point on the surface to be bonded and the ideal bonding point of the film material. A smaller first spatial distance indicates a smaller bonding error between the surface to be bonded and the film material, reflecting a higher bonding accuracy corresponding to the first and third coordinate points. The second spatial distance refers to the spatial distance between the second and fourth coordinate points, reflecting the linear difference in three-dimensional space between a point on another surface to be bonded and the ideal bonding point of the film material.

[0042] The first and second spatial distances are normalized, that is, the raw data of the first and second spatial distances are transformed into standard values ​​between 0 and 1, and the difference between the first and second spatial distances is used to characterize the predicted fit. The smaller the spatial distance deviation between the first and second spatial distances, the closer the fit accuracy of the two points, the more uniform the overall fit effect, and the higher the predicted fit, which means that it can smoothly enter the actual application stage.

[0043] Furthermore, this application also includes: if the predicted fit degree does not reach the predetermined fit degree limit, retrieving the fit adjustment strategy; according to the fit adjustment strategy, sorting the first spatial distance and the second spatial distance in ascending order to obtain a spatial distance ascending sequence list; according to the spatial distance ascending sequence list, obtaining the first spatial distance to be adjusted; taking the median of the spatial distances in the spatial distance ascending sequence list and forming a first adjustment constraint with the first spatial distance to be adjusted; under the first adjustment constraint, adjusting the position of the first coordinate point to be adjusted corresponding to the first spatial distance to be adjusted.

[0044] Specifically, the bonding adjustment strategy is invoked. The predetermined bonding limit is a bonding quality judgment threshold pre-set by those skilled in the art. If the predicted result is lower than the predetermined bonding limit, it indicates that the bonding deviation is too large and it is not suitable to directly perform bonding work. At this time, in order to avoid bonding failure or waste of resources, the built-in bonding adjustment strategy is automatically invoked to correct the bonding position.

[0045] Next, the first spatial distance and the second spatial distance represent the three-dimensional distances between key points on the surface to be bonded and corresponding points on the film to be bonded, reflecting the accuracy of the bonding alignment. Based on the bonding adjustment strategy, the first and second spatial distances are sorted in ascending order to generate an ascending spatial distance list. This ascending order helps to reveal areas with smaller bonding errors or larger deviations, thus providing a priority ranking basis for subsequent adjustments.

[0046] Then, the first spatial distance to be adjusted is obtained from the ascending spatial distance list. By selecting a specific spatial distance point as the adjustment target, indiscriminate processing can be avoided, improving efficiency and the targeted use of resources. Next, the median of the spatial distances across the entire ascending list is taken and combined with the first spatial distance to be adjusted to form the first adjustment constraint. The median spatial distance is a robust statistical indicator that reflects the central tendency of the overall deviation; comparing it with a single deviation can form a limiting range or adjustment target value, called the first adjustment constraint, thereby avoiding over- or under-adjustment.

[0047] Finally, guided by the first adjustment constraint, the position of the first coordinate point corresponding to the first spatial distance to be adjusted is adjusted. The first coordinate point to be adjusted refers to a specific spatial point on the film or surface to be bonded, which is a position in three-dimensional space. By controlling the adsorption component, this point is finely adjusted to the expected position, thereby reducing deviation and improving the bonding degree.

[0048] Furthermore, this application also includes: extracting the first 30% and the last 30% of the spatial distances from the ascending spatial distance list to form a set of spatial distances to be adjusted; extracting any one spatial distance from the set of spatial distances to be adjusted as the first spatial distance to be adjusted; wherein, the first set of spatial distances to be adjusted refers to the spatial distance between the first coordinate point to be adjusted on the surface to be bonded and the second coordinate point to be adjusted on the film to be bonded.

[0049] Specifically, the spatial distance ascending sequence list is a list formed by sorting the spatial error values ​​between all mating points from smallest to largest. The first 30% of spatial distances represent the area with the smallest error, while the last 30% represent the area with the largest error. During the mating control process, the first 30% and last 30% of spatial distances are extracted from the spatial distance ascending sequence list and combined into a new set, called the spatial distance set to be adjusted, thereby improving the comprehensiveness of the adjustment strategy.

[0050] Next, based on the set priority logic or a specific algorithm, any spatial distance is randomly or strategically extracted from the set of spatial distances to be adjusted, and used as the first spatial distance to be adjusted. For example, the point with the largest deviation or the point with the greatest volatility is selected first as the main correction target in the current adjustment round.

[0051] The first set of spatial distances to be adjusted refers to the three-dimensional spatial distance between the first coordinate point to be adjusted on the bonding surface and the corresponding second coordinate point to be adjusted on the bonding film. It represents the alignment relationship between the bonding surface and the bonding film in space. The larger the distance in the first set of spatial distances to be adjusted, the more serious the deviation, requiring a larger adjustment; while a smaller distance indicates that the bonding is approaching accuracy. Table 1 shows a partial record of the most recent acquisition of the set of spatial distances to be adjusted and the first set of spatial distances to be adjusted.

[0052] Table 1: Partial records of the most recent acquisition of the set of spatial distances to be adjusted and the first spatial distance to be adjusted

[0053] Furthermore, this application also includes: matching a first adsorption head corresponding to the first coordinate point to be adjusted in the adsorption assembly; obtaining a first adjustment height based on the first adjustment constraint; and adjusting the position of the first adsorption head according to the first adjustment height.

[0054] Specifically, after identifying the first coordinate point to be adjusted, the first adsorption head corresponding to the first coordinate point needs to be located in the adsorption assembly. The first adsorption head corresponding to the first coordinate point to be adjusted is matched in the adsorption assembly using coordinate mapping or number indexing to ensure accurate correspondence with the adsorption assembly on the mechanical structure.

[0055] Next, the specific first adjustment height is calculated based on the first adjustment constraint, and the height position of the corresponding first adsorption head is adjusted. The adjustment height refers to the displacement of the first adsorption head in the Z-axis direction of the spatial coordinate axis, that is, the displacement on the vertical axis, to achieve precise correction of the membrane material position. The amount by which the first adsorption head should move up or down is determined based on the error magnitude and the adjustment constraint. For example, if the point deviates from the target surface by 1.2 mm, and the median deviation is 0.6 mm, then the first adjustment height may be set to decrease by 0.6 mm.

[0056] Furthermore, this application also includes: collecting a set of bonding influence parameters based on a predetermined bonding factor in the bonding control optimization strategy; performing a weighted analysis on the set of bonding influence parameters to obtain a bonding influence coefficient; adjusting the benchmark bonding control scheme based on the bonding influence coefficient to obtain the optimal bonding control scheme; wherein, the predetermined bonding factor includes a bonding environment factor and a film characteristic factor to be bonded, and the bonding environment factor includes ambient temperature and ambient humidity, the film characteristic factor to be bonded includes material, thickness, and bonding area, and the benchmark bonding control scheme includes a benchmark bonding control speed and a benchmark bonding control pressure.

[0057] Specifically, based on the pre-set bonding factors in the bonding control optimization strategy, various parameter information related to the bonding process is collected, thus forming a bonding influence parameter set. The pre-set bonding factors are key variables in the bonding control optimization strategy, typically including environmental conditions, the membrane material properties of the membrane to be bonded, and equipment operating parameters. For example, ambient temperature, humidity, membrane material and thickness, and the curvature of the target surface are all included in the data collection as factors affecting the bonding results, constituting the bonding influence parameter set, which facilitates subsequent quantitative analysis.

[0058] Next, a weighted analysis is performed on the collected set of bonding influence parameters. Weighted analysis involves assigning weights to each parameter based on its relative importance in the actual bonding result. For example, changes in membrane thickness may have a greater impact on the bonding process than temperature fluctuations, thus receiving a higher weight. This results in a bonding influence coefficient. By using a weighted approach, multiple influencing factors can be transformed into one or more comprehensive indicators, namely the bonding influence coefficient, to quantitatively evaluate the adaptability of the current bonding environment to the control scheme.

[0059] Subsequently, the preset baseline bonding control scheme is modified using the bonding influence coefficient to form the optimal bonding control scheme. The baseline bonding control scheme consists of standard operating parameters preset at the factory, including the baseline bonding control speed and baseline bonding control pressure, i.e., the movement speed of the pressure plate and the applied pressure intensity during bonding, for example, a control speed of 50 mm / s and a control pressure of 30 kPa. The larger the bonding influence coefficient, the stronger the influence of the external environment on the bonding process. Therefore, the speed and pressure are adjusted accordingly based on this coefficient to ensure that the bonding process is always within a high-quality range.

[0060] Pre-set bonding factors refer to variables that are pre-defined and carefully considered during the bonding control process, significantly impacting bonding quality and process stability. Among these, bonding environmental factors refer to the external environmental conditions of the bonding operation, including ambient temperature and humidity. Ambient temperature affects the softening degree and adsorption stability of the membrane material; for example, as the temperature increases from 20 degrees Celsius to 30 degrees Celsius, the membrane material to be bonded becomes more flexible, making it easier to bond to complex curved surfaces. Ambient humidity affects the susceptibility of the bonding interface to moisture interference; humidity levels above 80% may cause localized bubble formation.

[0061] Next, the characteristic factors of the film to be laminated refer to the physical and structural properties of the film itself, which directly affect the selection and adjustment of the lamination process. The material determines the elasticity, surface friction coefficient, and light transmittance of the film; different materials respond differently to pressure and speed. The thickness affects the amount of pressure required for lamination and the accuracy of positional compensation; for example, when the thickness increases from 0.1 mm to 0.2 mm, the required lamination pressure may increase by 25%. The lamination area relates to the complexity of lamination path planning and multi-point control strategies; the larger the area, the more significant the deviation may be during the lamination process, and the higher the control requirements.

[0062] Furthermore, this application also includes: obtaining the bonding control record of the film-coated object; analyzing and extracting the bonding control record according to a predetermined bonding evaluation index to obtain the bonding adaptability of bonding the film to be bonded to the surface to be bonded; wherein the predetermined bonding evaluation index includes bonding quality, bonding energy consumption and bonding efficiency.

[0063] Specifically, the bonding control records of the film-coated object are obtained, and relevant bonding process data, including bonding start and end times, bonding pressure, bonding path, bonding speed, and adsorption component movement trajectory, are retrieved from samples of completed bonding processes. This data is used to evaluate the bonding effect and optimize subsequent bonding strategies.

[0064] Next, the bonding control records are analyzed and extracted according to predetermined bonding evaluation indicators. Using predefined evaluation standards, the data in the bonding control records are classified, decomposed, and analyzed to extract numerical indicators that reflect the actual bonding performance. This yields the bonding adaptability of the film to be bonded to the bonding surface, representing the overall performance under specific working conditions. A higher value indicates that the current bonding strategy is more suitable for the current membrane material and environmental conditions.

[0065] The pre-defined bonding evaluation indicators include three aspects: bonding quality, bonding energy consumption, and bonding efficiency. Bonding quality refers to the integrity and smoothness of the bonding between the film and the surface to be bonded, which can be measured by detecting the proportion of defects such as bubbles and wrinkles. Bonding energy consumption represents the electrical or pneumatic energy consumed to complete the bonding operation, measured in kilowatt-hours or joules. Bonding efficiency reflects the ability to complete bonding per unit time, expressed as the area bonded per minute or the number of pieces per minute.

[0066] Furthermore, this application also includes: acquiring a bonding effect image of the film-coated object; extracting a first bonding effect of a first edge from the bonding effect image, wherein the first bonding effect includes a first film edge point and a first surface edge point; comparing the first film edge point and the first surface edge point to obtain a first bonding distance set of the first edge; taking the difference between the maximum distance and the minimum distance in the first bonding distance set and normalizing it as a characterization of the bonding quality.

[0067] Specifically, a bonding effect image refers to an image captured on the surface of an object after bonding has been completed, using an industrial camera or other imaging equipment. Acquiring bonding effect images of objects with laminated films is used to analyze the visual effect and geometrical positional relationship between the film to be laminated and the surface to be laminated.

[0068] The first bonding effect is extracted from the first edge of the bonding effect image, which means selecting a specific area of ​​the edge for analysis; this area is called the first edge. The first bonding effect refers to the identification of two key points through image processing algorithms: the first film edge point, which is the pixel position of the edge of the film to be bonded in the image, and the first surface edge point, which is the corresponding pixel position of the edge of the original surface to be bonded. The first film edge point and the first surface edge point are used to calculate the tightness of the bonding between the film and the surface at the edge.

[0069] By comparing the edge points of the first film with the edge points of the first surface, a first bonding distance set for the first edge is obtained. The distances between the edge points of the first film and the edge points of the first surface are calculated in three-dimensional or two-dimensional space to obtain the first bonding distance set for the first edge. This first bonding distance set reflects the magnitude of the geometric error between the film to be bonded and the surface to be bonded within that edge region. The closer the distances in the first bonding distance set, the tighter the bonding; a greater difference in distance may indicate problems such as edge lifting or air bubbles.

[0070] The difference between the maximum and minimum distances within the first bonding distance set is taken, and this difference is normalized to between 0 and 1, serving as an evaluation index characterizing the bonding quality. Normalization facilitates comparisons across different scales or batches. For example, if the maximum distance is 1.8 mm and the minimum distance is 0.2 mm, the difference is 1.6 mm, and the normalized score is 0.8, indicating significant local unevenness at the bonding edge.

[0071] In summary, the automatic bonding control method for films to be bonded based on industrial vision provided in this application has the following technical effects: by achieving the technical goals of high-precision film material matching and dynamic bonding parameter optimization based on a three-dimensional bonding positioning model, it achieves the technical effects of improving bonding accuracy, reducing defect rate, and increasing production efficiency and material utilization.

[0072] Example 2: Based on the same inventive concept as the automatic bonding control method for color-changing film in the foregoing examples, this application also provides an automatic bonding control system for color-changing film. Please refer to the appendix. Figure 2 The system includes: a first image acquisition module 11, used to acquire images of the surface to be bonded in the object to be bonded using a first industrial camera, to obtain a first image set, wherein the object to be bonded is fixed on the stage of the bonding equipment; a second image acquisition module 12, used to acquire images of the film to be bonded using a second industrial camera, to obtain a second image set, wherein the film to be bonded is adsorbed and fixed by an adsorption component in the bonding equipment; an image set coordination module 13, used to coordinate the first image set and the second image set to obtain a three-dimensional bonding positioning model, and to obtain a predicted bonding degree between the surface to be bonded and the film to be bonded based on the three-dimensional bonding positioning model; an optimal bonding control scheme acquisition module 14, used to introduce a bonding control optimization strategy to obtain an optimal bonding control scheme if the predicted bonding degree reaches a predetermined bonding degree limit; and a bonding module 15, used to activate the bonding pressure plate in the bonding equipment, and to bond the film to be bonded to the surface to be bonded based on the optimal bonding control scheme, to obtain a bonded object.

[0073] Furthermore, the automatic bonding control system for the color-changing film is also used to: sequentially obtain the first coordinate point and the second coordinate point of the surface to be bonded in the three-dimensional bonding positioning model; match the third coordinate point and the fourth coordinate point of the film to be bonded, which correspond to the first coordinate point and the second coordinate point, respectively, in the three-dimensional bonding positioning model; calculate the first spatial distance from the first coordinate point to the third coordinate point; calculate the second spatial distance from the second coordinate point to the fourth coordinate point; and characterize the predicted bonding degree by the spatial distance deviation between the normalized first spatial distance and the second spatial distance.

[0074] Furthermore, the automatic bonding control system for the color-changing film is also used for: if the predicted bonding degree does not reach the predetermined bonding degree limit, retrieving a bonding adjustment strategy; according to the bonding adjustment strategy, sorting the first spatial distance and the second spatial distance in ascending order to obtain a spatial distance ascending sequence list; according to the spatial distance ascending sequence list, obtaining a first spatial distance to be adjusted; taking the median of the spatial distances in the spatial distance ascending sequence list and forming a first adjustment constraint with the first spatial distance to be adjusted; under the first adjustment constraint, adjusting the position of the first coordinate point to be adjusted corresponding to the first spatial distance to be adjusted.

[0075] Furthermore, the automatic bonding control system for the color-changing film is also used to: extract the first 30% and the last 30% of the spatial distances in the ascending spatial distance sequence list to form a set of spatial distances to be adjusted; extract any one spatial distance from the set of spatial distances to be adjusted as the first spatial distance to be adjusted; wherein, the first set of spatial distances to be adjusted refers to the spatial distance between the first coordinate point to be adjusted on the bonding surface and the second coordinate point to be adjusted on the bonding film.

[0076] Furthermore, the automatic bonding control system for the color-changing film is also used to: match the first adsorption head corresponding to the first coordinate point to be adjusted in the adsorption assembly; obtain the first adjustment height based on the first adjustment constraint; and adjust the position of the first adsorption head according to the first adjustment height.

[0077] Furthermore, the automatic bonding control system for the color-changing film is also used for: collecting a set of bonding influence parameters based on a predetermined bonding factor in the bonding control optimization strategy; performing a weighted analysis on the set of bonding influence parameters to obtain a bonding influence coefficient; and adjusting the benchmark bonding control scheme based on the bonding influence coefficient to obtain the optimal bonding control scheme; wherein the predetermined bonding factor includes a bonding environment factor and a characteristic factor of the film to be bonded, and the bonding environment factor includes ambient temperature and ambient humidity, the characteristic factor of the film to be bonded includes material, thickness, and bonding area, and the benchmark bonding control scheme includes a benchmark bonding control speed and a benchmark bonding control pressure.

[0078] Furthermore, the automatic color-changing film bonding control system is also used to: acquire bonding control records of the film-bonded object; analyze and extract the bonding control records according to predetermined bonding evaluation indicators to obtain the bonding adaptability of bonding the film to be bonded to the bonding surface; wherein, the predetermined bonding evaluation indicators include bonding quality, bonding energy consumption, and bonding efficiency.

[0079] Furthermore, the automatic bonding control system for the color-changing film is also used to: acquire a bonding effect image of the object with the film already bonded; extract a first bonding effect of a first edge from the bonding effect image, wherein the first bonding effect includes a first film edge point and a first surface edge point; compare the first film edge point and the first surface edge point to obtain a first bonding distance set of the first edge; take the difference between the maximum distance and the minimum distance in the first bonding distance set and normalize it as a characterization of the bonding quality.

[0080] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The automatic color-changing film bonding control method and specific examples in the aforementioned embodiment one are also applicable to the automatic color-changing film bonding control system of this embodiment. Through the foregoing detailed description of the automatic color-changing film bonding control method, those skilled in the art can clearly understand the automatic color-changing film bonding control system of this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0081] In Embodiment 3, based on the same inventive concept as the automatic bonding control method for color-changing film in the foregoing embodiments, this application also provides a computer-readable storage medium storing a computer program, which, when executed, implements the steps of the automatic bonding control method for color-changing film described in any one of Embodiment 1.

[0082] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0083] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. An automatic bonding control method for color-changing film, characterized in that, include: The first industrial camera acquires images of the surface to be bonded in the object to be bonded, and obtains a first image set, wherein the object to be bonded is fixed on the stage of the bonding equipment. A second industrial camera acquires images of the film to be laminated, resulting in a second image set. The film to be laminated is then adsorbed and fixed by an adsorption component in the lamination equipment. A three-dimensional bonding and positioning model is obtained by combining the first image set and the second image set, and the predicted bonding degree between the surface to be bonded and the film to be bonded is obtained based on the three-dimensional bonding and positioning model; If the predicted fit reaches the predetermined fit limit, a fit control optimization strategy is introduced to obtain the optimal fit control scheme. The bonding platen in the bonding device is activated, and the film to be bonded is bonded to the surface to be bonded based on the optimal bonding control scheme to obtain the film-bonded object.

2. The automatic bonding control method for color-changing film according to claim 1, characterized in that, A three-dimensional bonding and positioning model is obtained by combining the first image set and the second image set, and the predicted bonding degree between the surface to be bonded and the film to be bonded is obtained based on the three-dimensional bonding and positioning model, including: In the three-dimensional bonding and positioning model, the first coordinate point and the second coordinate point of the surface to be bonded are obtained sequentially; In the three-dimensional bonding and positioning model, match the third and fourth coordinate points of the film to be bonded, which correspond to the first and second coordinate points, respectively; Calculate the first spatial distance between the first coordinate point and the third coordinate point; Calculate the second spatial distance between the second coordinate point and the fourth coordinate point; The predicted fit is characterized by the spatial distance deviation between the normalized first spatial distance and the second spatial distance.

3. The automatic bonding control method for color-changing film according to claim 2, characterized in that, After obtaining a three-dimensional bonding and positioning model by coordinating the first image set and the second image set, and obtaining the predicted bonding degree between the surface to be bonded and the film to be bonded based on the three-dimensional bonding and positioning model, the process includes: If the predicted fit does not reach the predetermined fit limit, the fit adjustment strategy is retrieved; According to the fitting adjustment strategy, the first spatial distance and the second spatial distance are sorted in ascending order to obtain an ascending list of spatial distances; According to the spatial distance ascending sequence list, obtain the first spatial distance to be adjusted; Take the median of the spatial distances in the ascending spatial distance list and combine it with the first spatial distance to be adjusted to form a first adjustment constraint; Under the first adjustment constraint, the position of the first coordinate point corresponding to the first spatial distance to be adjusted is adjusted.

4. The automatic bonding control method for color-changing film according to claim 3, characterized in that, Based on the aforementioned ascending spatial distance sequence list, obtain the first spatial distance to be adjusted, including: Extract the first 30% and the last 30% of the spatial distances from the ascending spatial distance list to form a set of spatial distances to be adjusted; Extract any one spatial distance from the set of spatial distances to be adjusted, and use it as the first spatial distance to be adjusted; Wherein, the first set of spatial distances to be adjusted refers to the spatial distance between the first coordinate point to be adjusted on the surface to be bonded and the second coordinate point to be adjusted on the film to be bonded.

5. The automatic bonding control method for color-changing film according to claim 3, characterized in that, Under the first adjustment constraint, the position of the first coordinate point to be adjusted corresponding to the first spatial distance to be adjusted is adjusted, including: In the adsorption assembly, a first adsorption head is matched to the first coordinate point to be adjusted; Based on the first adjustment constraint, a first adjustment height is obtained, and the position of the first adsorption head is adjusted to the first adjustment height.

6. The automatic bonding control method for color-changing film according to claim 1, characterized in that, If the predicted fit reaches the predetermined fit limit, a fit control optimization strategy is introduced to obtain the optimal fit control scheme, including: Based on the predetermined fitting factor in the fitting control optimization strategy, a set of fitting influence parameters is collected; A weighted analysis is performed on the set of bonding influence parameters to obtain the bonding influence coefficients; The optimal bonding control scheme is obtained by adjusting the baseline bonding control scheme based on the bonding influence coefficient. The predetermined bonding factors include bonding environment factors and film characteristic factors to be bonded. The bonding environment factors include ambient temperature and ambient humidity, and the film characteristic factors to be bonded include material, thickness, and bonding area. The reference bonding control scheme includes reference bonding control speed and reference bonding control pressure.

7. The automatic bonding control method for color-changing film according to claim 1, characterized in that, After activating the bonding platen in the bonding device and bonding the film to be bonded to the bonding surface based on the optimal bonding control scheme to obtain the film-bonded object, the process further includes: Obtain the adhesion control record of the film-coated object; The bonding control records are analyzed and extracted according to the predetermined bonding evaluation index to obtain the bonding adaptability of the film to be bonded to the surface to be bonded. The predetermined bonding evaluation indicators include bonding quality, bonding energy consumption, and bonding efficiency.

8. The automatic bonding control method for color-changing film according to claim 7, characterized in that, The bonding control records are analyzed and extracted according to predetermined bonding evaluation indicators to obtain the bonding adaptability of the film to be bonded to the bonding surface, including: Collect images showing the bonding effect of the film-coated object; Extract the first bonding effect of the first edge in the bonding effect image, wherein the first bonding effect includes the first film edge point and the first surface edge point; By comparing the edge points of the first membrane with the edge points of the first surface, a first set of fitting distances for the first edge is obtained. The difference between the maximum and minimum distances in the first bonding distance set is taken and normalized as a characterization of the bonding quality.

9. An automatic lamination control system for color-changing film, characterized in that, The steps for implementing the automatic bonding control method for color-changing film according to any one of claims 1 to 8 include: The first image acquisition module is used to acquire images of the surface to be bonded in the object to be bonded using a first industrial camera to obtain a first image set, wherein the object to be bonded is fixed to the stage of the bonding equipment. The second image acquisition module is used to acquire images of the film to be laminated using a second industrial camera to obtain a second image set, wherein the film to be laminated is adsorbed and fixed by an adsorption component in the lamination equipment; The image set collaboration module is used to collaborate the first image set and the second image set to obtain a three-dimensional bonding and positioning model, and to obtain the predicted bonding degree between the surface to be bonded and the film to be bonded based on the three-dimensional bonding and positioning model. The optimal fit control scheme acquisition module is used to introduce a fit control optimization strategy to obtain the optimal fit control scheme if the predicted fit degree reaches the predetermined fit degree limit. The bonding module is used to activate the bonding platen in the bonding device and, based on the optimal bonding control scheme, bond the film to be bonded to the surface to be bonded to obtain a film-bonded object.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed, implements the steps of the automatic bonding control method for color-changing film according to any one of claims 1 to 8.

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