Laminating method, device and equipment for light guide plate

Abstract

The invention discloses a light guide plate film covering method, device and equipment, and the method comprises the steps: responding to the detected size, material and surface condition of a light guide plate, and judging whether the light guide plate meets a film covering standard or not; commanding the robot to grab the membrane material, accurately positioning the alignment operation of the light guide plate and the membrane material through a visual guidance system, and adjusting the fitting position; controlling the membrane material to be preliminarily attached to the light guide plate, and adjusting pressure and adsorption force in real time according to material characteristics; analyzing data of the visual detection system, commanding the intelligent fluid dynamics control device to process bubbles or wrinkles, and meanwhile, re-scanning the processed area to ensure that the defoaming effect is qualified; and controlling the curing time, the curing temperature or the UV light intensity according to the used curing mode. According to the technical scheme, the laminating quality is improved, and bubbles and flaws are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of light guide plate coating, and in particular to a light guide plate coating method, device and equipment. Background Art

[0002] Light guide plate is an important optical component, widely used in liquid crystal display, backlight system and other fields. In order to improve the light efficiency and performance of the light guide plate, it is usually necessary to coat its surface with a protective film or functional film. This coating process can not only protect the surface of the light guide plate from scratches, dust and moisture, but also improve the uniformity of light distribution, thereby improving the overall display effect.

[0003] At present, during lamination, mechanical equipment uses automated operation, such as roller pressing or vacuum lamination, to bond the film material to the surface of the light guide plate. During the mechanical lamination or vacuum lamination process, if the equipment cannot effectively remove air or the pressure is uneven, bubbles or wrinkles will often form between the light guide plate and the film material. This not only affects the optical performance of the product, but also leads to a high scrap rate in production, increasing costs. Summary of the invention

[0004] The main purpose of the present invention is to provide a light guide plate coating method, device and equipment, aiming to improve the coating quality and reduce the generation of bubbles and defects.

[0005] To achieve the above objectives, the present invention proposes the following technical solutions.

[0006] In a first aspect, the present invention provides a light guide plate coating method, comprising:

[0007] In response to the detected size, material and surface condition of the light guide plate, determining whether the light guide plate meets the coating standard;

[0008] If not, select an appropriate cleaning method to clean the surface of the light guide plate according to the test results, including but not limited to dust-free gas blowing and automatic ultrasonic cleaning to ensure that there are no particles, oil or dust residues;

[0009] Command the robot to grab the film material, and use the visual guidance system to accurately locate the alignment of the light guide plate and the film material and adjust the fitting position;

[0010] Control the initial bonding between the film material and the light guide plate, and adjust the pressure and adsorption force in real time according to the material characteristics;

[0011] Analyze the data from the visual inspection system and instruct the intelligent fluid dynamics control device to process bubbles or wrinkles. At the same time, rescan the treated area to ensure that the defoaming effect is qualified.

[0012] Depending on the curing method used, control the curing time, temperature or UV light intensity.

[0013] In a possible implementation, the step of judging whether the light guide plate meets the coating standard in response to the detected size, material and surface condition of the light guide plate includes:

[0014] Capture the microscopic material properties of light guide and film surfaces to identify surface texture, thickness, absorptivity and reflectivity;

[0015] Use light sources of different wavelengths for multispectral imaging to obtain the reflection and absorption characteristics of the light guide plate and film material in various spectral ranges, and identify the microstructural defects of the material, such as surface scratches, dents, and dust particles;

[0016] Classify and evaluate the surface structural characteristics of light guides and films to identify whether the film is suitable for immediate lamination or requires further surface treatment.

[0017] In a possible implementation, after the step of classifying and evaluating the surface structural characteristics of the light guide plate and the film material and identifying whether the film material is suitable for immediate lamination or requires further surface treatment, the following steps are included:

[0018] Through the pre-trained deep learning model, the surface data of the light guide plate and film material is analyzed to match the most suitable coating process. Based on the microstructure information of the material, the matching process flow is selected from the built-in process library, which includes nano-level surface finishing, plasma cleaning, and ultrasonic dust removal.

[0019] In a possible implementation, the command robot grabs the film material, and accurately positions the alignment operation of the light guide plate and the film material through a visual guidance system, and the step of adjusting the lamination position includes:

[0020] Identify the stacking position, shape, thickness and edge characteristics of the film material through a high-resolution camera or 3D vision sensor installed at the workstation;

[0021] Through the AI ​​algorithm integrated with the vision system, the robot plans its movement path according to the real-time position of the film material;

[0022] Through the visual guidance system, the specific position, surface shape and edge position of the light guide plate are identified to obtain a three-dimensional data model of the light guide plate;

[0023] After grabbing the film material, the robot monitors the relative position of the film material and the light guide plate in real time through the visual guidance system, and adjusts the position, angle and alignment direction of the film material in the air;

[0024] When the film material approaches the surface of the light guide plate, the vision guidance system will use more sophisticated edge detection and shape matching algorithms to accurately fine-tune the position of the film material.

[0025] In a possible implementation, the command robot grabs the film material, and uses a visual guidance system to accurately position the alignment operation of the light guide plate and the film material, and the step of adjusting the lamination position includes:

[0026] Apply adhesive evenly to the light guide and adjust the spray volume and path based on real-time feedback.

[0027] In a possible implementation, in the step of controlling the initial bonding between the film material and the light guide plate and adjusting the pressure and adsorption force in real time according to the material properties, the bonding pressure is adjusted in real time according to the flexibility and surface tension of the film material. If the film material is relatively soft, a lower pressure is selected; for a relatively hard film material, a higher pressure is selected to ensure its smooth adhesion.

[0028] In a possible implementation, the step of analyzing the data of the visual inspection system, directing the intelligent fluid dynamics control device to process the bubbles or wrinkles, and rescanning the processed area to ensure that the defoaming effect is qualified includes:

[0029] After the initial lamination of the film materials is completed, the surface of the light guide plate is fully scanned by a high-resolution camera or spectral imaging device to generate high-precision surface image data;

[0030] Analyze surface image data, identify defective areas including but not limited to bubbles and wrinkles, and accurately locate the specific locations of the defective areas;

[0031] Mark the data of the defective area in the three-dimensional model and record the size, shape and location of each defective area;

[0032] The intelligent fluid control device accurately aligns the bubble or wrinkle area based on the feedback of three-dimensional data, applies an appropriate amount of airflow or micro-pressure, and slightly lifts or flattens the film material through the airflow, gradually expelling bubbles or smoothing wrinkles.

[0033] In a second aspect, the present invention provides a light guide plate coating device, comprising:

[0034] The recognition module is used to detect the size, material and surface condition of the light guide plate and determine whether the light guide plate meets the coating standards;

[0035] A cleaning module, used to select a suitable cleaning method to clean the surface of the light guide plate according to the detection results, wherein the cleaning method includes but is not limited to dust-free gas blowing and automatic ultrasonic cleaning to ensure that there is no particle, oil or dust residue;

[0036] The alignment module is used to command the robot to grab the film material, and accurately locate the alignment operation of the light guide plate and the film material through the visual guidance system to adjust the fitting position;

[0037] The laminating module is used to control the initial lamination of the film material and the light guide plate, and adjust the pressure and adsorption force in real time according to the material characteristics;

[0038] The defoaming module is used to analyze the data of the visual inspection system and command the intelligent fluid dynamics control device to deal with bubbles or wrinkles. At the same time, it rescans the treated area to ensure that the defoaming effect is qualified;

[0039] A curing module is used to control the curing time, temperature or UV light intensity depending on the curing method used.

[0040] In a third aspect, the present invention provides a device comprising: a processor and a memory, wherein the memory is coupled to the processor, the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor reads the computer instructions from the memory, the electronic device executes the light guide plate coating method as described in the first aspect or any possible implementation manner of the first aspect.

[0041] The technical solution of the present invention determines whether the light guide plate meets the coating standard by using the detected size, material and surface condition of the light guide plate; if it does not meet the requirements, a suitable cleaning method is selected according to the detection result to clean the surface of the light guide plate, and the cleaning method includes but is not limited to dust-free gas blowing and automatic ultrasonic cleaning to ensure that there are no particulate matter, oil or dust residues; the robot grabs the film material, and accurately locates the alignment operation of the light guide plate and the film material through the visual guidance system, and adjusts the fitting position; the initial fitting of the film material and the light guide plate is controlled, and the pressure and adsorption force are adjusted in real time according to the material properties; the data of the visual detection system is analyzed, and the intelligent fluid dynamics control device is directed to process the bubbles or wrinkles, and at the same time, the processed area is rescanned to ensure that the defoaming effect is qualified; the curing time, temperature or UV light intensity are controlled according to the curing method used. During the initial lamination process of the film material, the system will dynamically adjust the pressure and adsorption force according to the material properties detected in real time to ensure that the film material and the surface of the light guide plate are tightly and evenly attached, which can effectively reduce the generation of wrinkles and bubbles in the film material and improve the overall quality and aesthetics of the lamination; the visual inspection system can automatically identify and locate the bubbles or wrinkles generated during the lamination process. The system will use intelligent fluid dynamics devices to accurately control the airflow and pressure to gradually eliminate bubbles or smooth out wrinkles. Through this intelligent correction process, the flatness and quality of the lamination are guaranteed, and the number of manual interventions and reworks is reduced. In summary, from light guide plate detection, cleaning, film material grabbing and alignment, to bubble handling and curing processes, the entire lamination process has achieved highly intelligent and automated operations, reducing manual intervention and human errors, greatly improving production efficiency, and shortening production cycles. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] 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 or the description of the prior art 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 the structures shown in these drawings without paying creative work.

[0043] Figure 1 The figure is a flow chart of an embodiment of a light guide plate coating method of the present invention.

[0044] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0046] The light guide plate coating method described in this embodiment includes a complete process from light guide plate detection, cleaning, film material grabbing, alignment, lamination to defoaming and curing. The entire process is coordinated by automated equipment such as robots, vision systems, and intelligent fluid control devices in an industrial Internet of Things (IIoT) environment.

[0047] Combined with reference Figure 1 As shown, the present invention proposes a light guide plate coating method comprising the following steps:

[0048] S10: In response to the detected size, material and surface condition of the light guide plate, determining whether the light guide plate meets the lamination standard.

[0049] This step responds to the different characteristics of the light guide plate and uses multispectral imaging and AI algorithms to conduct a comprehensive inspection of the light guide plate. The system uses infrared and ultraviolet light sources to scan and capture the microscopic material properties of the light guide plate, including thickness, surface texture, reflectivity and absorptivity. The AI ​​algorithm can automatically classify the inspection results and determine whether the light guide plate meets the coating standards.

[0050] S20: If not, select a suitable cleaning method to clean the surface of the light guide plate according to the test results. The cleaning method includes but is not limited to dust-free gas blowing and automatic ultrasonic cleaning to ensure that there are no particles, oil stains or dust residues.

[0051] If the light guide plate does not meet the standards, the system will automatically select the appropriate cleaning method based on the AI ​​detection results. You can choose to use dust-free gas blowing to remove surface particles, or use an automatic ultrasonic cleaning system to remove oil or residues to ensure that the surface is smooth and free of foreign matter, suitable for lamination operations. The light guide plate is fully inspected and analyzed through multi-spectral imaging technology to improve the detection accuracy and ensure that the surface state of the light guide plate meets the lamination requirements. At the same time, the intelligent cleaning system can automatically select the best cleaning method to reduce human error.

[0052] S30: Command the robot to grab the film material, and use the visual guidance system to accurately locate the alignment operation of the light guide plate and the film material, and adjust the fitting position.

[0053] Through the high-resolution camera and 3D vision sensor installed at the workstation, the robot system can automatically identify the stacking position, thickness and edge characteristics of the film material and plan its grasping path. The robot performs visual guidance operations, accurately locates the starting position of the film material, and grasps the film material. After grasping the film material, the robot uses the vision guidance system to identify the three-dimensional model of the light guide plate, adjust the angle and position of the film material in real time, and ensure that the film material and the light guide plate are accurately aligned. When approaching the surface of the light guide plate, the system further uses sophisticated edge detection technology to fine-tune the position of the film material. The robot automatically grasps the film material and combines the vision system for precise alignment, which improves the accuracy of the lamination and avoids errors and repeatability problems in human operation.

[0054] S40: Control the initial bonding between the film material and the light guide plate, and adjust the pressure and adsorption force in real time according to the material characteristics.

[0055] After the film and the light guide plate are aligned, the robot begins the preliminary bonding. According to the flexibility and surface tension of the film, the system adjusts the pressure and adsorption force during bonding in real time. Softer films use lower pressure to ensure that wrinkles will not be generated; harder films use higher pressure to ensure that they are evenly attached to the surface of the light guide plate. The system uses built-in sensors to monitor the bonding status of the film and adjusts the pressure based on the feedback data to ensure that the film fits the light guide plate tightly and the surface is wrinkle-free. By real-time monitoring and feedback adjustment of pressure, inconsistencies in human intervention are eliminated, ensuring perfect bonding between the film and the light guide plate and reducing the generation of bubbles and wrinkles.

[0056] S50: Analyze the data from the visual inspection system and instruct the intelligent fluid dynamics control device to process bubbles or wrinkles. At the same time, rescan the treated area to ensure that the defoaming effect is qualified.

[0057] After the initial bonding is completed, the visual inspection system will scan the surface of the light guide plate, generate high-resolution surface image data, and analyze the location, size, and shape of bubbles and wrinkles. The intelligent fluid dynamics control device accurately controls the airflow or micro-pressure to process these areas based on the detection feedback, gradually expelling bubbles or smoothing wrinkles. After the treatment is completed, the system will scan the correction area again to ensure that the defoaming effect meets the requirements. If bubbles or wrinkles are found that are not completely eliminated, the system will perform local secondary treatment until the coating quality is qualified. Through intelligent fluid control and secondary inspection, efficient bubble and wrinkle processing is achieved, ensuring the smoothness of the coating surface and improving product quality.

[0058] S60: Control the curing time, temperature or UV light intensity according to the curing method used.

[0059] According to the characteristics of the film material, the system will select the appropriate curing method (such as UV curing or thermal curing) and automatically control the curing time, temperature or UV light intensity. By real-time monitoring of the curing process, it ensures that the film material forms a solid and uniform bonding layer on the light guide plate. By adaptively controlling the curing parameters, the problem of over-curing or insufficient curing is avoided, ensuring the final bonding quality.

[0060] In summary, the light guide plate lamination method in this embodiment not only improves production efficiency, reduces manual intervention, but also improves lamination quality and consistency. By introducing multispectral imaging, AI algorithms and intelligent fluid dynamics control, the entire process is more intelligent and precise, greatly reducing the incidence of problems such as bubbles and wrinkles, while achieving real-time data optimization and cross-regional collaborative control through the integration of IIoT.

[0061] In a possible implementation, the step of judging whether the light guide plate meets the coating standard in response to the detected size, material and surface condition of the light guide plate includes:

[0062] Capture the microscopic material properties of light guide and film surfaces to identify surface texture, thickness, absorptivity and reflectivity;

[0063] Use light sources of different wavelengths for multispectral imaging to obtain the reflection and absorption characteristics of the light guide plate and film material in various spectral ranges, and identify the microstructural defects of the material, such as surface scratches, dents, and dust particles;

[0064] Classify and evaluate the surface structural characteristics of light guides and films to identify whether the film is suitable for immediate lamination or requires further surface treatment.

[0065] The surface material properties of the light guide plate and film are captured by high-precision optical sensors combined with multispectral imaging technology. This process uses light sources of different wavelengths (such as visible light, ultraviolet light, infrared light, etc.) to irradiate the material to obtain its reflection and absorption characteristics at each wavelength. The sensor can capture microscopic characteristic data such as surface texture, thickness, absorptivity and reflectivity of the light guide plate and film. Multispectral imaging technology scans the surface of the material through light sources of multiple wavelengths. Light of different wavelengths will interact differently with the structure and surface morphology of the material. The system collects the reflectivity and absorption characteristics of the light guide plate and film in various spectral ranges to identify microscopic structural defects such as scratches, depressions, and dust particles. Through multispectral imaging, not only can the explicit defects on the surface of the material be detected, but also the hidden defects (such as dust and fine scratches) can be identified. This technology provides higher detection accuracy, avoids minor defects that may be overlooked by conventional detection methods, and improves the consistency of lamination quality. Based on the captured material characteristic data, the AI ​​algorithm classifies and evaluates the surface structural characteristics of the light guide plate and film. By analyzing the reflectivity, absorptivity, and distribution of microscopic defects, the system can determine whether the film material is suitable for immediate lamination or whether further surface treatment, such as plasma cleaning or ultrasonic dust removal, is required. By classifying and evaluating the surface structure of the material, the system can predict in advance whether the film material meets the lamination conditions, avoiding unqualified materials from directly entering the lamination process and reducing the defective rate. At the same time, the automatic classification and analysis of the AI ​​algorithm significantly improves the intelligence level of the production line and reduces the error of human judgment.

[0066] In a possible implementation, after the step of classifying and evaluating the surface structural characteristics of the light guide plate and the film material and identifying whether the film material is suitable for immediate lamination or requires further surface treatment, the following steps are included:

[0067] Through the pre-trained deep learning model, the surface data of the light guide plate and film material is analyzed to match the most suitable coating process. Based on the microstructure information of the material, the matching process flow is selected from the built-in process library, which includes nano-level surface finishing, plasma cleaning, and ultrasonic dust removal.

[0068] In the intelligent light guide plate lamination process, the pre-trained deep learning model automatically matches the appropriate lamination process by analyzing the surface data of the light guide plate and the film material. The deep learning model has been trained based on a large amount of historical data, including the texture, absorptivity, reflectivity, thickness and microstructure characteristics of the surface of different materials. Through the analysis of this model, the microstructural differences of the materials, such as surface scratches and tiny particles, can be accurately identified.

[0069] When the system captures the microstructure information of the light guide plate and film material, it will compare this information with the built-in process library. The process library contains process flows suitable for different materials and different surface conditions, such as nano-level surface finishing, plasma cleaning and ultrasonic dust removal. According to the specific defects and characteristics of the material surface, the system automatically selects and applies the corresponding process.

[0070] If a tiny scratch is detected on the surface of the light guide plate, the deep learning model will identify the depth and shape of the scratch and automatically match the "nano-level surface finishing" process. In this process, the scratches are finely repaired through nano-level polishing technology to ensure that the surface of the light guide plate is smooth and flawless, suitable for subsequent lamination. If dust particles are detected on the surface of the light guide plate, the deep learning model will select the "ultrasonic dust removal" process. The ultrasonic dust removal device completely removes particles from the surface of the light guide plate through high-frequency vibration, ensuring that the lamination process is not disturbed by particles.

[0071] The deep learning model automatically selects the most suitable lamination process according to the microstructural characteristics of the material, ensuring that each process selection is based on the actual needs of the material, greatly improving the quality and accuracy of the lamination. In traditional processes, operators need to judge the material processing method based on experience, which is prone to errors. After the introduction of the deep learning model, the system can automatically make accurate judgments and decisions, reduce human judgment errors, and improve efficiency.

[0072] In a possible implementation, the command robot grabs the film material, and accurately positions the alignment operation of the light guide plate and the film material through a visual guidance system, and the step of adjusting the lamination position includes:

[0073] Identify the stacking position, shape, thickness and edge characteristics of the film material through a high-resolution camera or 3D vision sensor installed at the workstation;

[0074] Through the AI ​​algorithm integrated with the vision system, the robot plans its movement path according to the real-time position of the film material;

[0075] Through the visual guidance system, the specific position, surface shape and edge position of the light guide plate are identified to obtain a three-dimensional data model of the light guide plate;

[0076] After grabbing the film material, the robot monitors the relative position of the film material and the light guide plate in real time through the visual guidance system, and adjusts the position, angle and alignment direction of the film material in the air;

[0077] When the film material approaches the surface of the light guide plate, the vision guidance system will use more sophisticated edge detection and shape matching algorithms to accurately fine-tune the position of the film material.

[0078] In the intelligent process of light guide plate lamination, the robot can accurately identify the stacking position, shape, thickness and edge characteristics of the film material with the help of high-resolution cameras or 3D vision sensors. Through the visual guidance system integrated with the AI ​​algorithm, the robot plans the movement path of the film material based on the real-time detected data, and monitors the position and surface shape of the light guide plate to ensure the precise alignment of the film material with the light guide plate. This process combines the three-dimensional data model and the visual guidance system, allowing the robot to adjust the position, angle and alignment direction in real time when grabbing the film material and approaching the light guide plate. When the film material is about to be attached to the light guide plate, the edge detection and shape matching algorithms are used to fine-tune the position of the film material to ensure the accuracy of the final lamination operation.

[0079] When handling flexible film materials, the robot uses 3D sensors to capture the edge and shape features of the film materials and adjusts the gripping action in real time. If the film position is slightly deviated, the visual system will immediately identify and correct it to ensure that the film is accurately aligned with the light guide plate. If there is a slight curvature or irregular shape on the surface of the light guide plate, the visual guidance system can update the 3D model data of the light guide plate in real time, and continuously correct the film bonding path through the edge detection algorithm to ensure perfect synchronization of the bonding process.

[0080] Through the combination of the visual guidance system and AI algorithm, the robot can accurately identify every detail of the film material and the light guide plate, and make adjustments in real time to ensure that the position and angle during the lamination process are highly accurate. The real-time monitoring and edge detection functions of the visual system ensure the perfect alignment between the film material and the light guide plate, avoiding the errors in traditional manual alignment and reducing the defective rate during the lamination process.

[0081] In a possible implementation, the command robot grabs the film material, and uses a visual guidance system to accurately position the alignment operation of the light guide plate and the film material, and the step of adjusting the lamination position includes:

[0082] Apply adhesive evenly to the light guide and adjust the spray volume and path based on real-time feedback.

[0083] In the process of laminating the light guide plate, uniformly applying the adhesive is a key step to ensure that the film material is tightly bonded to the surface of the light guide plate. Through the intelligent control system, the surface of the light guide plate is fed back in real time, and the amount and path of the sprayed adhesive are automatically adjusted. This process monitors the thickness and uniformity of the adhesive coating and the adsorption of the light guide plate surface through sensors and visual inspection systems installed on the coating equipment, and then adjusts the spraying speed, angle and path in real time based on these data to make the distribution of the adhesive more accurate. When processing light guide plates with large surface temperature differences, the AI ​​algorithm can detect areas with higher temperatures in local areas, thereby reducing the amount of adhesive sprayed in the area and avoiding surface unevenness caused by excessive evaporation of the adhesive due to high temperature. When there are slight bumps and unevenness on the surface of the light guide plate, the visual system can identify these areas and make fine adjustments on the spraying path, appropriately increase the amount of adhesive, and ensure uniform surface bonding. Through real-time feedback and path planning, the adhesive is evenly distributed on the surface of the light guide plate, avoiding overspraying or missing areas, and improving the bonding effect.

[0084] In a possible implementation, in the step of controlling the initial bonding between the film material and the light guide plate and adjusting the pressure and adsorption force in real time according to the material properties, the bonding pressure is adjusted in real time according to the flexibility and surface tension of the film material. If the film material is relatively soft, a lower pressure is selected; for a relatively hard film material, a higher pressure is selected to ensure its smooth adhesion.

[0085] During the lamination process of the light guide plate, the flexibility and surface tension of different film materials will affect the lamination effect between the film material and the light guide plate. Soft film materials may wrinkle or deform excessively under excessive pressure, while hard film materials require greater pressure to ensure smooth adhesion. Therefore, by real-time detection of the flexibility and surface tension of the film material, the system can intelligently adjust the lamination pressure to ensure that the film material and the surface of the light guide plate are flat and laminating. When dealing with very soft nano-films, the detection system will feedback the low flexibility and low surface tension of the film material, and the intelligent system will adjust the pressure to the lowest range to avoid wrinkling of the film material during lamination. When using conductive film materials with higher hardness, the intelligent system will recognize the high rigidity of the film material and automatically adjust higher pressure to ensure no bubbles or uneven adhesion. Through real-time detection of the flexibility and surface tension of the film material, the system can adaptively adjust the pressure to avoid the risk of manually setting too much or too little pressure.

[0086] In a possible implementation, the step of analyzing the data of the visual inspection system, directing the intelligent fluid dynamics control device to process the bubbles or wrinkles, and rescanning the processed area to ensure that the defoaming effect is qualified includes:

[0087] After the initial lamination of the film materials is completed, the surface of the light guide plate is fully scanned by a high-resolution camera or spectral imaging device to generate high-precision surface image data;

[0088] Analyze surface image data, identify defective areas including but not limited to bubbles and wrinkles, and accurately locate the specific locations of the defective areas;

[0089] Mark the data of the defective area in the three-dimensional model and record the size, shape and location of each defective area;

[0090] The intelligent fluid control device accurately aligns the bubble or wrinkle area based on the feedback of three-dimensional data, applies an appropriate amount of airflow or micro-pressure, and slightly lifts or flattens the film material through the airflow, gradually expelling bubbles or smoothing wrinkles.

[0091] After the film material is attached to the light guide plate, defects such as bubbles or wrinkles may appear on the surface. In order to prevent these defects from affecting the optical performance of the light guide plate, a high-resolution camera or spectral imaging device is used to scan the entire surface of the light guide plate to obtain accurate surface data. By analyzing this data, the system identifies the specific location, size and shape of the defective area and integrates its information into the three-dimensional model. Then, based on this data, the intelligent fluid control device uses fine-tuned airflow or pressure to locally treat the defective area, gradually expel bubbles or smooth wrinkles to ensure the quality of the coating. For example, after the light guide plate surface is attached, the scanning device finds a bubble with a diameter of 2 mm. The intelligent fluid control device uses micro-airflow technology to slightly lift the bubble area, squeeze out the bubbles through the flow of airflow, and achieve a smooth surface. A wrinkle with a length of 5 mm is detected at a certain edge of the film material. The system records the specific location and shape of the area, and smoothes the wrinkles by gradually applying airflow pressure, while monitoring the pressure changes in real time.

[0092] High-resolution scanning technology can accurately identify the location, size and shape of defective areas such as bubbles and wrinkles to ensure targeted treatment. Intelligent fluid control technology can automatically and accurately treat defective areas, reducing errors and inconsistencies in manual operations.

[0093] In a second aspect, the present invention provides a light guide plate coating device, comprising:

[0094] The recognition module is used to detect the size, material and surface condition of the light guide plate and determine whether the light guide plate meets the coating standards;

[0095] A cleaning module, used to select a suitable cleaning method to clean the surface of the light guide plate according to the detection results, wherein the cleaning method includes but is not limited to dust-free gas blowing and automatic ultrasonic cleaning to ensure that there is no particle, oil or dust residue;

[0096] The alignment module is used to command the robot to grab the film material, and accurately locate the alignment operation of the light guide plate and the film material through the visual guidance system to adjust the fitting position;

[0097] The laminating module is used to control the initial lamination of the film material and the light guide plate, and adjust the pressure and adsorption force in real time according to the material characteristics;

[0098] The defoaming module is used to analyze the data of the visual inspection system and command the intelligent fluid dynamics control device to deal with bubbles or wrinkles. At the same time, it rescans the treated area to ensure that the defoaming effect is qualified;

[0099] A curing module is used to control the curing time, temperature or UV light intensity depending on the curing method used.

[0100] Those skilled in the art should understand that the division of the various modules in the embodiment is merely a division of logical functions, and in actual application, all or part of them can be integrated into one or more actual carriers, and these modules can be implemented entirely in the form of software called through a processing unit, or entirely in the form of hardware, or in the form of a combination of software and hardware. It should be noted that each module in the light guide plate coating device in the present embodiment corresponds one-to-one to each step in the light guide plate coating method in the aforementioned embodiment. Therefore, the specific implementation of the present embodiment can refer to the implementation of the aforementioned light guide plate coating method, which will not be repeated here.

[0101] In a third aspect, the present invention provides a device comprising: a processor and a memory, wherein the memory is coupled to the processor, the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor reads the computer instructions from the memory, the electronic device executes the light guide plate coating method as described in the first aspect or any possible implementation manner of the first aspect.

[0102] In some embodiments, the computer readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or various devices including one or any combination of the above memories. The computer may be various computing devices including intelligent terminals and servers.

[0103] In some embodiments, executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0104] As an example, executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file that stores other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0105] By way of example, executable instructions may be deployed to be executed on one computing device, or on multiple computing devices located at one site, or on multiple computing devices distributed across multiple sites and interconnected by a communication network.

[0106] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A light guide plate coating method, It is characterized in that include: In response to the detected size, material and surface condition of the light guide plate, determining whether the light guide plate meets the coating standard; If not, select an appropriate cleaning method to clean the surface of the light guide plate according to the test results, including but not limited to dust-free gas blowing and automatic ultrasonic cleaning to ensure that there are no particles, oil or dust residues; Command the robot to grab the film material, and use the visual guidance system to accurately locate the alignment of the light guide plate and the film material and adjust the fitting position; Control the initial bonding between the film material and the light guide plate, and adjust the pressure and adsorption force in real time according to the material characteristics; Analyze the data from the visual inspection system and instruct the intelligent fluid dynamics control device to process bubbles or wrinkles. At the same time, rescan the treated area to ensure that the defoaming effect is qualified. Depending on the curing method used, control the curing time, temperature or UV light intensity.

2. The light guide plate coating method according to claim 1, It is characterized in that The step of judging whether the light guide plate meets the coating standard in response to the detected size, material and surface condition of the light guide plate comprises: Capture the microscopic material properties of light guide and film surfaces to identify surface texture, thickness, absorptivity and reflectivity; Use light sources of different wavelengths for multispectral imaging to obtain the reflection and absorption characteristics of the light guide plate and film material in various spectral ranges, and identify the microstructural defects of the material, such as surface scratches, dents, and dust particles; Classify and evaluate the surface structural characteristics of light guides and films to identify whether the film is suitable for immediate lamination or requires further surface treatment.

3. The light guide plate coating method according to claim 2, It is characterized in that The steps of classifying and evaluating the surface structural characteristics of the light guide plate and the film material and identifying whether the film material is suitable for immediate lamination or requires further surface treatment include: Through the pre-trained deep learning model, the surface data of the light guide plate and film material is analyzed to match the most suitable coating process. Based on the microstructure information of the material, the matching process flow is selected from the built-in process library, which includes nano-level surface finishing, plasma cleaning, and ultrasonic dust removal.

4. The light guide plate coating method according to claim 1, It is characterized in that The command robot grabs the film material, and accurately locates the alignment operation of the light guide plate and the film material through the visual guidance system, and the step of adjusting the fitting position includes: Identify the stacking position, shape, thickness and edge characteristics of the film material through a high-resolution camera or 3D vision sensor installed at the workstation; Through the AI ​​algorithm integrated with the vision system, the robot plans its movement path according to the real-time position of the film material; Through the visual guidance system, the specific position, surface shape and edge position of the light guide plate are identified to obtain a three-dimensional data model of the light guide plate; After grabbing the film material, the robot monitors the relative position of the film material and the light guide plate in real time through the visual guidance system, and adjusts the position, angle and alignment direction of the film material in the air; When the film material approaches the surface of the light guide plate, the vision guidance system will use more sophisticated edge detection and shape matching algorithms to accurately fine-tune the position of the film material.

5. The light guide plate coating method according to claim 4, It is characterized in that The command robot grabs the film material, and accurately locates the alignment operation of the light guide plate and the film material through the visual guidance system, and the step of adjusting the lamination position includes: Apply adhesive evenly to the light guide and adjust the spray volume and path based on real-time feedback.

6. The light guide plate coating method according to claim 1, It is characterized in that In the step of controlling the initial bonding between the film material and the light guide plate and adjusting the pressure and adsorption force in real time according to the material properties, the bonding pressure is adjusted in real time according to the flexibility and surface tension of the film material. If the film material is relatively soft, a lower pressure is selected; for a relatively hard film material, a higher pressure is selected to ensure its smooth adhesion.

7. The light guide plate coating method according to claim 1, It is characterized in that The steps of analyzing the data of the visual inspection system, directing the intelligent fluid dynamics control device to process the bubbles or wrinkles, and rescanning the processed area to ensure that the defoaming effect is qualified include: After the initial lamination of the film materials is completed, the surface of the light guide plate is fully scanned by a high-resolution camera or spectral imaging device to generate high-precision surface image data; Analyze surface image data, identify defective areas including but not limited to bubbles and wrinkles, and accurately locate the specific locations of the defective areas; Mark the data of the defective area in the three-dimensional model and record the size, shape and location of each defective area; The intelligent fluid control device accurately aligns the bubble or wrinkle area based on the feedback of three-dimensional data, applies an appropriate amount of airflow or micro-pressure, and slightly lifts or flattens the film material through the airflow, gradually expelling bubbles or smoothing wrinkles.

8. A light guide plate coating device, It is characterized in that include: The recognition module is used to detect the size, material and surface condition of the light guide plate and determine whether the light guide plate meets the coating standards; A cleaning module, used to select a suitable cleaning method to clean the surface of the light guide plate according to the detection results, wherein the cleaning method includes but is not limited to dust-free gas blowing and automatic ultrasonic cleaning to ensure that there is no particle, oil or dust residue; The alignment module is used to command the robot to grab the film material, and accurately locate the alignment operation of the light guide plate and the film material through the visual guidance system to adjust the fitting position; The laminating module is used to control the initial lamination of the film material and the light guide plate, and adjust the pressure and adsorption force in real time according to the material characteristics; The defoaming module is used to analyze the data of the visual inspection system and command the intelligent fluid dynamics control device to deal with bubbles or wrinkles. At the same time, it rescans the treated area to ensure that the defoaming effect is qualified; A curing module is used to control the curing time, temperature or UV light intensity depending on the curing method used.

9. A device, It is characterized in that include: A processor and a memory, wherein the memory is coupled to the processor, and the memory is used to store computer program code, wherein the computer program code includes computer instructions. When the processor reads the computer instructions from the memory, the electronic device executes the light guide plate coating method as described in any one of claims 1 to 7.

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