Thin film hologram generation method and generation equipment

Abstract

The invention relates to the technical field of laser holographic image generation, in particular to a thin film hologram generation method and device, and the system comprises the steps: S1, thin film pretreatment; s2, coating operation and continuity detection are carried out; s3, analyzing the mass ratio of the coating film; s4, checking the hologram image; s5, adjusting coating quality detection parameters; the method comprises the following steps: performing surface pretreatment on a film, performing coating operation, performing continuity detection on a film coating liquid, performing mass ratio analysis when a detection result is a local discontinuous category, and performing corresponding re-coating measures; and after illumination treatment, carrying out quality inspection on a hologram on the thin film through an image recognition technology, and adjusting related parameters based on quality fluctuation occurring in the coating process so as to ensure that a final product meets the quality standard. According to the invention, a high-efficiency and stable coating technology is adopted, the production efficiency is improved while the film quality is ensured, and the device has the production capacity of being widely applied to anti-counterfeit labels, trademarks and self-defined stickers.

Description

Technical Field

[0001] The present invention relates to the technical field of laser holographic image generation, and in particular to a thin film hologram generation method and generation equipment. Background Art

[0002] The quality of thin-film holograms directly impacts the quality and stability of the final image. Traditional thin-film coating processes often rely on manual or empirical control, leading to issues such as uneven coating, unstable film thickness, and inadequate control of impurity particles. These issues not only impact coating quality but can also result in suboptimal holograms, or even render them unusable in severe cases. Furthermore, real-time monitoring and adjustment of the coating solution ratio and coating quality during the coating process are often complex and lack effective automated control methods.

[0003] To improve the accuracy and stability of the coating process, existing technologies have attempted to introduce automated detection and control methods, such as scanning images to assess coating quality. However, these technologies still face problems such as inaccurate determination of coating fluid continuity and delayed coating quality adjustments. Furthermore, traditional technologies also have inaccurate determination of the degree of curing during the coating process, making it difficult to implement effective remedial measures in a timely manner.

[0004] Therefore, developing a more precise and intelligent method for producing thin-film holograms is crucial. This method should ensure consistent and stable coating quality through comprehensive monitoring, real-time detection, and feedback adjustments during the coating process, while also optimizing final coating quality through sophisticated re-coating remedial measures. Furthermore, enhanced temperature control and real-time detection during the curing process are crucial for improving the overall quality and stability of thin-film holograms.

[0005] Chinese Patent Publication No. CN108215410A discloses a TPU film for document anti-counterfeiting and its preparation method. The film comprises a substrate layer and a TPU layer disposed on the substrate layer, the TPU layer having a laser holographic anti-counterfeiting image printed thereon. The TPU layer comprises the following raw materials in weight fractions: 15-30 parts isocyanate, 15-30 parts isothiocyanate, 80-120 parts oligomeric diol, 10-20 parts chain extender, and 2-5 parts catalyst. The TPU film is produced by first polymerizing a polyurethane elastomer, then blow-molding it with the substrate material through a double-layer co-extrusion blown film machine, and finally printing the laser holographic anti-counterfeiting image on the TPU layer. This method primarily focuses on the material composition and coating process, lacking a dynamic detection and adjustment mechanism for coating quality, resulting in weak dynamic adjustment capabilities and poor risk prevention capabilities. Summary of the Invention

[0006] To this end, the present invention provides a thin film hologram generation method and generation device to overcome the problems in the prior art of a single lateral exposure exclusion method during the coating process and weak feedback adjustment capability of preset parameters.

[0007] To achieve the above object, the present invention provides a method for generating a thin film hologram, comprising:

[0008] Pre-treatment of the film, including film corona treatment and pre-shearing process;

[0009] Performing a standard coating operation on the pretreated film using a preset coating liquid spray amount and a standard coating operation process, and obtaining various coating quality detection parameters after the operation is completed to detect the coating quality, including coating continuity evaluation and coated film quality ratio analysis;

[0010] Among them, standard coating operations include spraying, spreading and quantitative scraping of coating liquid;

[0011] obtaining a scanned image of the coated film through the coating continuity evaluation, and determining a coating liquid continuity category based on the scanned image;

[0012] If the coating liquid continuous category is the coating liquid partially discontinuous category, performing the coating film quality ratio analysis, including the coating liquid retained quality analysis and the coating liquid ratio analysis;

[0013] If the coating liquid retained mass analysis results in a first retained mass result and the coating liquid ratio analysis result is a second coating liquid density, executing a re-coating trigger determination step, including impurity quantity detection and curing degree determination;

[0014] If a first impurity detection result is obtained through the impurity quantity detection and the curing degree is determined to be an uncured state, remedial measures are taken such as re-coating and performing a photoreaction treatment;

[0015] The quality of the hologram after the light reaction is inspected, and the coating quality inspection parameters are adjusted based on different abnormal quality types.

[0016] Furthermore, the pre-shearing process includes:

[0017] Acquire the film thickness value and various parameter information of the target hologram, wherein the various parameter information of the target hologram includes the target hologram size value and the target hologram image information;

[0018] Obtaining a comparison result between the film thickness value and a standard thickness threshold, and determining whether to perform a pre-shearing process based on the comparison result;

[0019] Among them, the film thickness value is compared with the standard thickness threshold.

[0020] If the film thickness value is less than the standard thickness threshold, executing a shearing number acquisition step, shearing the film with the standard shearing area, and further performing a photoreaction treatment after performing a standard coating operation;

[0021] If the film thickness value is greater than or equal to the standard thickness threshold, a shearing number is obtained based on the shearing number obtaining step, the film is not pre-sheared, a subsequent standard coating operation is performed, and the coating quality is tested;

[0022] Among them, the shearing number acquisition step is to determine the coating area of the target hologram based on the target hologram size value and the size scale factor to determine the shearing area of the film and the standard shearing size value corresponding to the shearing area, and obtain the standard shearing area and shearing number corresponding to the standard shearing size value.

[0023] Furthermore, the coating quality is tested,

[0024] Obtaining a scanning image of the coated film, including a coating surface scanning image and a side scanning image;

[0025] Evaluating the coating continuity based on the scanned image of the coating surface to determine the coating liquid continuity category, including the coating liquid overall continuity category and the coating liquid local discontinuity category;

[0026] If the coating liquid continuity category is the overall coating liquid continuity category, a thickness test is performed, and based on the test results, it is determined whether to take re-coating remedial measures, and the corresponding number of re-coating times is limited when different re-coating remedial measures are taken;

[0027] If the coating liquid continuity category is the coating liquid partial discontinuity category, performing a coating film mass ratio analysis, and judging whether to take a recoating remedial measure based on the mass ratio analysis result, or performing a recoating trigger judgment step based on the side scan image;

[0028] Among them, the remedial measure of re-coating is to re-execute the standard coating operation process.

[0029] Furthermore, the coating continuity evaluation process includes:

[0030] Obtaining the coating area number of each target hologram, and updating the shearing number obtained by shearing processing to the coating area number corresponding to each target hologram;

[0031] Obtain the closed contour image of the coating liquid and the internal area of the closed contour in the scanning image of the coating surface in any coating area, calculate the area error normalization index, and compare it with the standard area error.

[0032] If the standard area error normalization index is less than the standard area error, further obtaining a first average thickness of the coating area of the target hologram, and performing a thickness test on the first average thickness to determine whether a coating liquid film exists;

[0033] If the normalized index of the standard area error is greater than or equal to the standard area error, the coating liquid film is broken, the coating liquid continuous category is the coating liquid local discontinuity category, and the coating film quality ratio analysis is performed on the coating area of the target hologram, including the coating liquid retention quality analysis and the coating liquid ratio analysis. When the coating liquid retention quality analysis obtains the first retention quality result, the coating liquid ratio analysis is further performed;

[0034] The area error normalization index is the ratio of the absolute value of the difference between the inner area of the closed contour and the coating area of the target hologram to the coating area of the target hologram.

[0035] Furthermore, the thickness detection includes:

[0036] Compare the first average thickness value with the standard coating liquid thickness threshold,

[0037] If the first average thickness value is greater than or equal to the standard coating liquid thickness threshold, a light reaction treatment is performed;

[0038] If the first average thickness value is less than the standard coating liquid thickness threshold and is not zero, reducing the scraping speed in the quantitative scraping step of the coating liquid, performing re-coating remedial measures and limiting the re-coating to two times or less;

[0039] If the first average thickness value is less than the standard coating liquid thickness threshold and is zero, the coating liquid spraying equipment fails, and re-coating remedial measures are performed and the re-coating is limited to three times or less.

[0040] Furthermore, the process of analyzing the retained quality of the coating liquid is as follows:

[0041] Obtain the coating liquid retention mass in the coating area of any target hologram and compare it with the standard retention mass.

[0042] If the retained mass of the coating liquid is greater than or equal to the standard retained mass, a first retained mass result is obtained, and the coating liquid ratio analysis is performed;

[0043] If the retained mass of the coating liquid is less than the standard retained mass, a second retained mass result is obtained, the preset coating liquid spraying amount is increased, and re-coating remedial measures are performed before performing a light reaction treatment;

[0044] The standard retained mass is the theoretical mass of the coating liquid retained on the film under each standard operation.

[0045] Furthermore, the process of performing the coating liquid ratio analysis is as follows:

[0046] Obtaining the initial ratio of the coating liquid and the real-time flow rate of the coating liquid in the coating area of the target hologram;

[0047] Based on the empirical density conversion formula, the real-time density of the coating liquid corresponding to the real-time flow rate of the coating liquid is obtained;

[0048] Compare the real-time density of the coating liquid with the standard density threshold corresponding to the initial ratio of the coating liquid.

[0049] If the real-time density of the coating liquid is less than or equal to the standard density threshold, the first coating liquid density is obtained, and the real-time density of the coating liquid is normal, the scraping gap in the quantitative scraping step of the coating liquid is reduced, and re-coating remedial measures are performed and light reaction treatment is performed;

[0050] If the real-time density of the coating liquid is greater than the standard density threshold, a second coating liquid density is obtained, and the real-time density of the coating liquid is abnormal, and a re-coating trigger judgment step is further performed.

[0051] Furthermore, the process of detecting the amount of impurities is as follows:

[0052] Obtaining the number of foreign particles in the coating liquid in the coating surface and side scan images, comparing them with a standard foreign matter number threshold, and obtaining a first foreign matter detection result and a second foreign matter detection result;

[0053] If the first impurity detection result is obtained, the impurity elimination measures are executed and then the impurity quantity is re-detected until the re-detected impurity quantity is less than the standard impurity quantity threshold;

[0054] If the second impurity test result is obtained, continue to determine the degree of curing to determine whether it meets the recoating standard;

[0055] Among them, the impurity quantity re-test is to re-execute the impurity quantity test;

[0056] The process of judging the degree of curing is to perform a curing test on the coating area of any target hologram to obtain a solid state test result;

[0057] If it is in a cured state, adjust the ambient light intensity, obtain the number of the coating area of the target hologram and mark the area as a non-recoating area, and perform photoreaction treatment;

[0058] If it is in an uncured state, obtain the ratio adjustment factor corresponding to the current coating liquid ratio, adjust the coating liquid ratio parameters according to the factor, perform re-coating remedial measures with the current coating liquid ratio, and then perform photoreaction treatment;

[0059] A hologram image inspection is performed on the coating area of the target hologram after the photoreaction treatment to perform a quality inspection on the hologram after the photoreaction.

[0060] Further, adjusting coating quality detection parameters based on different abnormal quality types includes:

[0061] Acquire a scanned image of the hologram to be detected in the target hologram coating area after the photoreaction treatment, divide the scanned image of the hologram to be detected into a plurality of areas of preset sizes as a plurality of gray domain blocks to be detected, and analyze the scanned image of the hologram to be detected to obtain image grayscale;

[0062] Compare the image grayscale with the standard grayscale to obtain normal grayscale judgment results and abnormal grayscale judgment results;

[0063] If the grayscale judgment result is normal, obtain the outline of the hologram to be detected in the scanned image of the hologram to be detected, and judge whether the similarity of the outline of the hologram to be detected meets the preset similarity standard;

[0064] If the similarity meets the preset standard, the quality of the hologram to be tested meets the production requirements;

[0065] If the similarity does not meet the preset standard, the quality of the hologram to be tested does not meet the production requirements, and the preset coating liquid spraying amount is reduced; if the grayscale abnormality judgment result is a grayscale abnormal area in each gray domain block and the total grayscale abnormal area of the scanned image of the hologram to be tested are obtained, and compared with the local abnormality threshold and the overall abnormality threshold respectively;

[0066] If the grayscale anomaly is locally distributed, residual impurities may affect the hologram imaging, so adjust the standard impurity quantity threshold to a smaller value.

[0067] If the grayscale anomaly is distributed as a whole, the entire area of the hologram scanned image to be detected is determined to be a solidified area, and the standard reaction force threshold in the solidification detection is adjusted.

[0068] On the other hand, the present invention also provides a thin film hologram generating device applied to the above-mentioned thin film hologram generating method, comprising:

[0069] The conveying mechanism is used to drive the film to move along a specified path so that it passes through each processing station in sequence;

[0070] A corona treatment mechanism for performing corona treatment on the film conveyed by the conveying mechanism;

[0071] A pre-shearing mechanism, connected to the corona treatment mechanism, is used to obtain a film that has been corona treated and meets the pre-shearing standard, and to shear the film;

[0072] A coating liquid spraying mechanism, which is connected to the front shearing mechanism, is used to obtain the film and evenly spray the coating liquid on the surface of the film according to a preset coating liquid spraying amount;

[0073] The coating liquid spreading mechanism is connected to the coating liquid spraying mechanism and is used to spread the sprayed coating liquid so that it evenly covers the surface of the film to obtain a coating layer;

[0074] a coating liquid quantitative scraping mechanism connected to the coating liquid quantitative scraping mechanism, for obtaining the coating layer and scraping the coating layer at a preset scraping gap to form a coated film;

[0075] a first visual scanning mechanism, connected to the coating liquid quantitative scraping mechanism, for scanning the coated film to obtain a scanning image and a side scanning image;

[0076] A weight detection mechanism, which is connected to the coating liquid quantitative scraping mechanism, and is used to detect the weight of the film and coating liquid in a specific area;

[0077] An impurity detection mechanism for determining the amount and location of impurities in an image;

[0078] Curing detection mechanism, used to detect the curing degree of the coating liquid;

[0079] A light reaction mechanism, connected to the first visual scanning mechanism and the curing detection mechanism, is used to emit a light source of a specific wavelength band to illuminate the coating area to form a film pattern;

[0080] A second visual scanning mechanism for acquiring a scanning image of the hologram to be detected;

[0081] Secondary processing mechanism, used for drying, water-cooling curing, online exposure operation and UI lamp secondary curing;

[0082] A control mechanism is respectively connected to the conveying mechanism, the corona treatment mechanism, the pre-shearing mechanism, the coating liquid spraying mechanism, the coating liquid spreading mechanism, the coating liquid quantitative scraping mechanism, the first visual scanning mechanism, the weight detection mechanism, the impurity detection mechanism, the curing detection mechanism, the photoreaction mechanism, the second visual scanning mechanism and the secondary processing mechanism, and is used to control the working process of each mechanism.

[0083] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention performs spraying, spreading and quantitative scraping in sequence according to the standard coating process, which makes the distribution of the coating liquid more stable and can significantly reduce local accumulation and film breakage caused by human or equipment fluctuations; by scanning the image to identify the continuity state of the coating liquid, the accurate identification and classification of discontinuous areas are further realized; for areas with local discontinuities, the material residue and component abnormalities are quantified through mass ratio analysis. When the impurity quantity exceeds the standard or the curing is insufficient, re-coating is triggered and photoreaction treatment is performed, which can effectively improve the edge image quality and reduce the interference caused by the lateral light penetration effect; finally, the re-inspection and parameter adjustment mechanism of the hologram quality enable the system to have closed-loop self-optimization capabilities, improve the overall yield and batch stability, and meet the continuous production needs of high-precision optical films or anti-counterfeiting labels.

[0084] Furthermore, this step introduces the area error normalization index as a judgment criterion, which can quickly and accurately evaluate the spreading integrity of the coating liquid in the target hologram area; this parameter is based on the deviation between the actual closed contour area of the coating and the area of the standard coating area, significantly improving the automatic identification ability of problems such as film breakage and localized detachment.

[0085] Furthermore, this step automatically adjusts the scraping speed based on the test results and limits the number of re-coating times, effectively improving the stability and reliability of the coating process, preventing image blur and film defects caused by repeated re-coating, and ensuring the interference quality and visual clarity of the final hologram product.

[0086] Furthermore, this step achieves accurate monitoring of the actual proportioning state of the coating liquid by obtaining the flow rate of the coating liquid in real time and calculating its density based on an empirical formula; combined with the setting mechanism of the scraping gap adjustment factor, the scraping gap can be adjusted down in time when a slight deviation in the ratio is detected, thereby enhancing the uniformity and tightness of the film coating, and effectively avoiding blurred patterns or incomplete interference caused by ratio fluctuations. BRIEF DESCRIPTION OF THE DRAWINGS

[0087] Figure 1 Schematic diagram of a thin film hologram generation method according to an embodiment of the present invention;

[0088] Figure 2 A logic decision diagram for detecting coating quality according to an embodiment of the present invention;

[0089] Figure 3 This is a logic decision diagram for detecting the amount of impurities according to an embodiment of the present invention;

[0090] Figure 4 It is a schematic structural diagram of a thin film hologram generating device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0091] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below with reference to embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0092] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0093] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0094] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0095] See also Figure 1 As shown, it is a schematic diagram of a respiratory rehabilitation system based on virtual reality according to an embodiment of the present invention. The present invention provides a thin film hologram generation method and generation device, including:

[0096] Pre-treatment of the film, including film corona treatment and pre-shearing process;

[0097] Performing a standard coating operation on the pretreated film using a preset coating liquid spray amount and a standard coating operation process, and obtaining various coating quality detection parameters after the operation is completed to detect the coating quality, including coating continuity evaluation and coated film quality ratio analysis;

[0098] Among them, standard coating operations include spraying, spreading and quantitative scraping of coating liquid;

[0099] obtaining a scanned image of the coated film through the coating continuity evaluation, and determining a coating liquid continuity category based on the scanned image;

[0100] If the coating liquid continuous category is the coating liquid partially discontinuous category, performing the coating film quality ratio analysis, including the coating liquid retained quality analysis and the coating liquid ratio analysis;

[0101] If the coating liquid retained mass analysis results in a first retained mass result and the coating liquid ratio analysis result is a second coating liquid density, executing a re-coating trigger determination step, including impurity quantity detection and curing degree determination;

[0102] If a first impurity detection result is obtained through the impurity quantity detection and the curing degree is determined to be an uncured state, remedial measures are taken such as re-coating and performing a photoreaction treatment;

[0103] Performing a quality inspection on the hologram after the light reaction, and adjusting the coating quality inspection parameters based on different abnormal quality types;

[0104] The present invention performs spraying, spreading and quantitative scraping in sequence according to the standard coating process, which makes the distribution of the coating liquid more stable and can significantly reduce local accumulation and film breakage caused by human or equipment fluctuations; by scanning the image to identify the continuity state of the coating liquid, it further realizes the accurate identification and classification of discontinuous areas; for areas with local discontinuities, the material residue and component abnormalities are quantified through mass ratio analysis. When the impurity quantity exceeds the standard or the curing is insufficient, re-coating is triggered and photoreaction treatment is performed, which can effectively improve the edge image quality and reduce the interference caused by the lateral light penetration effect; finally, the re-inspection of the hologram quality and the parameter adjustment mechanism enable the system to have closed-loop self-optimization capabilities, improve the overall yield and batch stability, and meet the continuous production needs of high-precision optical films or anti-counterfeiting labels.

[0105] Specifically, the pre-shearing process includes:

[0106] Acquire the film thickness value and various parameter information of the target hologram, wherein the various parameter information of the target hologram includes the target hologram size value and the target hologram image information;

[0107] Obtaining a comparison result between the film thickness value and a standard thickness threshold, and determining whether to perform a pre-shearing process based on the comparison result;

[0108] Among them, the film thickness value is compared with the standard thickness threshold.

[0109] If the film thickness value is less than the standard thickness threshold, executing a shearing number acquisition step, shearing the film with the standard shearing area, and further performing a photoreaction treatment after performing a standard coating operation;

[0110] If the film thickness value is greater than or equal to the standard thickness threshold, a shearing number is obtained based on the shearing number obtaining step, the film is not pre-sheared, a subsequent standard coating operation is performed, and the coating quality is tested;

[0111] The shear number acquisition step comprises determining the coating area of the target hologram based on the target hologram size value and the size scale factor to determine the shear area of the film and the standard shear size value corresponding to the shear area, and acquiring the standard shear area and shear number corresponding to the standard shear size value;

[0112] In this embodiment, the coating area of the hologram and the shearing area of the film are in a one-to-one correspondence, that is, each coating area corresponds to a unique shearing area, and the two overlap in spatial position;

[0113] Obtaining film thickness values through side scan images of the coated film;

[0114] The hologram size value is the length and width of the hologram image. The clipping area corresponding to the hologram size value is the area after the hologram size value is magnified by the size scale factor, which is used for subsequent positioning and protection processing;

[0115] The target hologram image information includes the image center point coordinate system, image spatial frequency information and image type identifier;

[0116] Among them, the image center point coordinate system is used for automatic alignment of the spraying area;

[0117] Image spatial band information is used to determine the exposure bands required for different band parts in the image;

[0118] The image type identifier is the pattern of the image;

[0119] Based on historical production data verification, the standard thickness threshold was selected as 50μm;

[0120] If the film thickness is less than this value, a pre-shearing process is required to prevent the interference pattern from being disturbed by lateral light refraction;

[0121] When the film thickness is greater than 50μm, light enters the interference zone through the edge, causing side-transmission interference, which affects image clarity and phase consistency. In this case, the film is not sheared. The size scale factor is set to 1.2, that is, the required shearing area for each image size is enlarged by 20% of the actual image size to avoid edge exposure defects. For example, if the target image size is 54mm×54mm, its standard shearing area is 64.8mm×64.8mm.

[0122] This step effectively avoids interference image blur or phase distortion caused by lateral light refraction when the film thickness is too small by introducing a pre-shearing process and setting a standard thickness threshold, thereby improving the imaging clarity and interference accuracy of the hologram. At the same time, combined with the size scale factor, the shearing area has sufficient edge redundancy, ensuring positioning accuracy and edge integrity during coating and exposure, and enhancing the stability of image quality and process consistency.

[0123] See Figure 2 As shown, it is a logic determination diagram for detecting coating quality according to an embodiment of the present invention;

[0124] Specifically, the coating quality is tested including:

[0125] Obtaining a scanning image of the coated film, including a coating surface scanning image and a side scanning image;

[0126] Evaluating the coating continuity based on the scanned image of the coating surface to determine the coating liquid continuity category, including the coating liquid overall continuity category and the coating liquid local discontinuity category;

[0127] If the coating liquid continuity category is the overall coating liquid continuity category, a thickness test is performed, and based on the test results, it is determined whether to take re-coating remedial measures, and the corresponding number of re-coating times is limited when different re-coating remedial measures are taken;

[0128] If the coating liquid continuity category is the coating liquid partial discontinuity category, performing a coating film mass ratio analysis, and judging whether to take a recoating remedial measure based on the mass ratio analysis result, or performing a recoating trigger judgment step based on the side scan image;

[0129] Among them, the remedial measure of re-coating is to re-execute the standard coating operation process.

[0130] Specifically, the coating continuity evaluation process includes:

[0131] Obtaining the coating area number of each target hologram, and updating the shearing number obtained by shearing processing to the coating area number corresponding to each target hologram;

[0132] Obtain the closed contour image of the coating liquid and the internal area of the closed contour in the scanning image of the coating surface in any coating area, calculate the area error normalization index, and compare it with the standard area error.

[0133] If the standard area error normalization index is less than the standard area error, further obtaining a first average thickness of the coating area of the target hologram, and performing a thickness test on the first average thickness to determine whether a coating liquid film exists;

[0134] If the normalized index of the standard area error is greater than or equal to the standard area error, the coating liquid film is broken, the coating liquid continuous category is the coating liquid local discontinuity category, and the coating film quality ratio analysis is performed on the coating area of the target hologram, including the coating liquid retention quality analysis and the coating liquid ratio analysis. When the coating liquid retention quality analysis obtains the first retention quality result, the coating liquid ratio analysis is further performed;

[0135] The area error normalization index is the ratio of the absolute value of the difference between the inner area of the closed contour and the coating area of the target hologram to the coating area of the target hologram;

[0136] In this embodiment, the coating area number corresponding to each target hologram is first obtained. The coating area number is updated from the cutting number, where the cutting number comes from the unique number generated for each target hologram in the previous cutting process;

[0137] Extracting the closed contour image of the coating liquid on the coating surface through image recognition algorithm;

[0138] The calculation formula for the area error normalization index is:

[0139]

[0140] Wherein, N is the area error normalization index;

[0141] Set the standard area error = 0.05;

[0142] A c is the interior area of the closed contour;

[0143] A s The coating area of the target hologram;

[0144] If the coating area of the target hologram is 54mm×54mm, the closed contour area is 3500mm 2 , the normalized area error index = 0.166> 0.05, and the film layer is determined to be discontinuous;

[0145] The detection area on the side is scanned using an image recognition algorithm. The upper and lower surface contour lines are extracted from the image for each scan line. For each pixel position, the vertical distance between the upper and lower boundaries is calculated to obtain each thickness data point and the average of each thickness data point, i.e., the first average thickness.

[0146] This step introduces the area error normalization index as a judgment criterion, which can quickly and accurately evaluate the spreading integrity of the coating liquid within the target hologram area. This parameter is based on the deviation between the actual closed contour area of the coating and the area of the standard coating area, significantly improving the ability to automatically identify problems such as film breakage and localized detachment.

[0147] Specifically, the thickness detection includes:

[0148] Compare the first average thickness value with the standard coating liquid thickness threshold,

[0149] If the first average thickness value is greater than or equal to the standard coating liquid thickness threshold, the coating liquid is classified as a continuous category as a whole, and a light reaction treatment is performed;

[0150] If the first average thickness value is less than the standard coating liquid thickness threshold and is not zero, reducing the scraping speed in the quantitative scraping step of the coating liquid, performing re-coating remedial measures and limiting the re-coating to two times or less;

[0151] If the first average thickness value is less than the standard coating liquid thickness threshold and is zero, the coating liquid spraying equipment fails, and re-coating remedial measures are performed and the re-coating is limited to three times or less;

[0152] In this embodiment, the standard coating liquid thickness threshold is set to 3.5 μm; this value is determined based on a large amount of historical production data and can ensure that the coating has good interference and transmission properties during the photoreaction treatment stage;

[0153] A coating speed adjustment factor is defined, which is the ratio of the absolute value of the difference between the first average thickness value and the standard coating liquid thickness threshold to the standard coating liquid thickness threshold;

[0154] If the scraping speed adjustment factor is less than 0.1, the scraping speed is reduced by 5%;

[0155] If the scraping speed adjustment factor is greater than or equal to 0.1 and less than 0.3, the scraping speed is reduced by 10%;

[0156] If the scraping speed adjustment factor is greater than or equal to 0.3, the scraping speed is reduced by 15%;

[0157] If the first average thickness of a certain target hologram coating area is 2.8 μm, the calculation is: scraping speed adjustment factor = 0.2, so the scraping speed should be reduced by 10% and a re-coating should be performed;

[0158] If the surface is still not up to standard after re-coating, a second re-coating may be performed, but not more than twice to prevent repeated interference with film formation and image distortion;

[0159] This step automatically adjusts the scraping speed based on the test results and limits the number of re-coating times, effectively improving the stability and reliability of the coating process and preventing image blur and film defects caused by repeated re-coating, thereby ensuring the interference quality and visual clarity of the final hologram product.

[0160] Specifically, the process of the coating liquid retention quality analysis is:

[0161] Obtain the coating liquid retention mass in the coating area of any target hologram and compare it with the standard retention mass.

[0162] If the retained mass of the coating liquid is greater than or equal to the standard retained mass, a first retained mass result is obtained, and the coating liquid ratio analysis is performed;

[0163] If the retained mass of the coating liquid is less than the standard retained mass, a second retained mass result is obtained, the preset coating liquid spraying amount is increased, and re-coating remedial measures are performed before performing a light reaction treatment;

[0164] Among them, the standard retained mass is the theoretical mass of the coating liquid retained on the film under each standard operation;

[0165] In this embodiment, the standard retained mass is set to 3.2 mg. This value has been verified through repeated tests to be the minimum mass standard for ensuring the formation of interference pattern effects in the film layer under normal temperature and humidity.

[0166] Define the coating liquid spraying amount adjustment factor, which is the ratio of the absolute value of the difference between the coating liquid retention mass and the standard retention mass to the standard retention mass;

[0167] If the coating liquid spraying amount adjustment factor is less than 0.2, the spraying amount is increased by 5%.

[0168] If the coating liquid spray amount adjustment factor is greater than or equal to 0.2 and less than 0.4, the spray amount is increased by 10%;

[0169] If the coating liquid spray amount adjustment factor is greater than or equal to 0.4, the spray amount is increased by 15%;

[0170] For example, if the retained mass in the coating area of a certain target hologram is 2.4 mg, the coating liquid spraying amount adjustment factor = 0.25, then the spraying amount should be increased by 10%, and a re-coating operation should be performed;

[0171] This step quantitatively analyzes the difference between the retained mass of the coating liquid and the standard value, and dynamically adjusts the coating liquid spraying amount accordingly. This can effectively deal with the problem of insufficient coating caused by fluctuations in the spraying equipment, changes in ambient humidity or uneven scraping, and ensure the interference ability and imaging clarity of the coating layer in subsequent photoreaction processing.

[0172] Specifically, the process of performing the coating liquid ratio analysis is as follows:

[0173] Obtaining the initial ratio of the coating liquid and the real-time flow rate of the coating liquid in the coating area of the target hologram;

[0174] Based on the empirical density conversion formula, the real-time density of the coating liquid corresponding to the real-time flow rate of the coating liquid is obtained;

[0175] Compare the real-time density of the coating liquid with the standard density threshold corresponding to the initial ratio of the coating liquid.

[0176] If the real-time density of the coating liquid is less than or equal to the standard density threshold, the first coating liquid density is obtained, and the real-time density of the coating liquid is normal, the scraping gap in the quantitative scraping step of the coating liquid is reduced, and re-coating remedial measures are performed and light reaction treatment is performed;

[0177] If the real-time density of the coating liquid is greater than the standard density threshold, a second coating liquid density is obtained, indicating that the real-time density of the coating liquid is abnormal, and a re-coating trigger judgment step is further executed;

[0178] In this embodiment, the empirical density conversion formula is:

[0179] ρ 实 =kv 实 +b

[0180] Among them, ρ 实 It is the real-time density of the coating liquid;

[0181] v 实 Real-time flow rate of coating liquid

[0182] k is an empirical parameter obtained based on experimental fitting of different coating liquid ratios. In this embodiment, k is set to 0.85;

[0183] b is an empirical parameter obtained by experimental fitting based on different coating liquid ratios, which is applicable to different types of coatings. In this embodiment, b=0.12;

[0184] The real-time flow rate of the coating liquid is obtained by using a micro flow rate sensor installed at the front end of the coating head spray path. The flow rate value is calculated by combining the sensor output frequency change with the standard spray speed. The sampling frequency is 50Hz, and the real-time error does not exceed ±0.02mm / s.

[0185] The standard density threshold is 1.25 mg / mm 2 , this value corresponds to the initial ratio that can ensure the optical interference effect while maintaining the clarity of the pattern;

[0186] The scraping gap adjustment factor is defined as:

[0187] Δ g =(ρ 标 -ρ 实 )*C

[0188] Δ g is the scraping gap adjustment factor;

[0189] ρ 标 is the standard density threshold;

[0190] ρ 实 It is the real-time density of the coating liquid;

[0191] C is the density-gap adjustment conversion coefficient, which is used to convert the density difference into the coating gap adjustment range. In this embodiment, the value is 60%;

[0192] If Δ g If the value is greater than 0 and less than 5%, the scraping gap is adjusted downward by 3%;

[0193] If Δ g If the scraping gap is greater than or equal to 5% and less than 8%, the scraping gap should be lowered by 5%;

[0194] If Δ g If the value is greater than or equal to 8%, reduce the scraping gap by 8%;

[0195] This step achieves accurate monitoring of the actual proportion status of the coating liquid by obtaining the flow rate of the coating liquid in real time and calculating its density based on an empirical formula; combined with the setting mechanism of the scraping gap adjustment factor, the scraping gap can be timely adjusted down when a slight deviation in the ratio is detected, thereby enhancing the uniformity and tightness of the film coating, and effectively avoiding blurred patterns or incomplete interference caused by ratio fluctuations.

[0196] See Figure 3 As shown, it is a logic decision diagram for impurity quantity detection according to an embodiment of the present invention;

[0197] Specifically, the process of detecting the amount of impurities is as follows:

[0198] Obtaining the number of foreign particles in the coating liquid in the coating surface and side scan images, comparing them with a standard foreign matter number threshold, and obtaining a first foreign matter detection result and a second foreign matter detection result;

[0199] If the first impurity detection result is obtained, the impurity elimination measures are executed and then the impurity quantity is re-detected until the re-detected impurity quantity is less than the standard impurity quantity threshold;

[0200] If the second impurity test result is obtained, continue to determine the degree of curing to determine whether it meets the recoating standard;

[0201] Among them, the impurity quantity re-test is to re-execute the impurity quantity test;

[0202] The process of judging the degree of curing is to perform a curing test on the coating area of any target hologram to obtain a solid state test result;

[0203] If it is in a cured state, adjust the ambient light intensity, obtain the number of the coating area of the target hologram and mark the area as a non-recoating area, and perform photoreaction treatment;

[0204] If it is in an uncured state, obtain the ratio adjustment factor corresponding to the current coating liquid ratio, adjust the coating liquid ratio parameters according to the factor, perform re-coating remedial measures with the current coating liquid ratio, and then perform photoreaction treatment;

[0205] Performing a hologram image inspection on the coating area of the target hologram after the photoreaction treatment to perform a quality inspection on the hologram after the photoreaction;

[0206] In this embodiment, shading blades are set at the ambient light source, and the opening and closing angles are dynamically adjusted to adjust the ambient light intensity. During curing, the angle between the shading blades and the ceiling is set to 40 degrees to reduce the impact of ambient light;

[0207] The impurity detection steps are:

[0208] The coating surface scan image of the target hologram and its corresponding side scan image are collected synchronously, and image processing is performed using an image recognition algorithm to identify foreign particles in the coating liquid;

[0209] The recognition process uses a multi-level feature extraction model based on edge detection and grayscale threshold segmentation to distinguish the morphological characteristics of different impurity particles, such as size, brightness distribution and irregular contours, and then classifies and labels the detected impurity particles to obtain information on particle type and quantity;

[0210] Compare the number of impurity particles with the standard impurity number threshold,

[0211] If the number of impurity particles is greater than or equal to the standard impurity number threshold, a first impurity detection result is obtained, and after the impurity elimination measures are implemented, the impurity number is re-detected until the re-detected impurity number is less than the standard impurity number threshold;

[0212] If the number of impurity particles is less than the standard impurity number threshold, continue to determine the degree of solidification;

[0213] Among them, the standard impurity number threshold is 15 particles / mm 2 ,Impurity elimination measures include local plasma cleaning and electrostatic adsorption cleaning, and re-image acquisition and inspection are carried out after treatment to ensure that the cleanliness of the coating liquid meets the process requirements;

[0214] The determination of the degree of solidification includes:

[0215] Based on historical production data, the area that is most difficult to achieve complete curing under standard operating conditions is selected, usually the edge corner of the film layer or the spray coverage interface area, and set it as the curing measurement area;

[0216] In this embodiment, the curing measurement area is set to 5% of the coating area, with priority given to areas with significant thickness fluctuations or sudden changes in flow rate. The shape of the area is ensured to be a regular rectangle or ellipse for subsequent mechanical measurements. The geometric center point is extracted from the curing measurement area as the curing measurement point, and the micro-reaction force measurement needle is vertically contacted with this point to record the reaction force value during the contact process.

[0217] The measurement adopts the elastic contact measurement mode, records the maximum reaction force peak value per unit time as the curing degree indicator; compares the peak value with the preset standard reaction force threshold;

[0218] In this embodiment, the standard reaction force threshold is set to 0.045N, which can ensure that the film surface reaches a flexible curing degree suitable for re-spraying;

[0219] If the actual measured reaction force is less than the standard reaction force threshold, it means that the coating has not been cured and meets the curing requirements of the remedial measure of recoating. At this time, the recoating operation can be performed;

[0220] If the actual reaction force is greater than or equal to the standard reaction force threshold, it indicates that the film layer has been partially or completely solidified and can no longer be effectively fused and sprayed, and re-coating remedial measures are not appropriate;

[0221] If it is not solidified, obtain the coating liquid ratio and material batch number, and retrieve the recommended ratio correction factor main agent increment coefficient α corresponding to the matching combination in the historical database. B Compensation coefficient β of curing agent B ;

[0222] The main agent amount is multiplied by the main agent increment coefficient to obtain the main agent increment, and the curing agent amount is multiplied by the curing agent compensation coefficient to obtain the curing agent compensation amount to adjust the coating liquid ratio;

[0223] This step ensures that remedial measures are triggered only when reversible defects exist in the film layer, thus reducing the scrap rate. By automatically identifying, classifying and comparing the quantity of impurity particles in the image, accurate judgment is made in combination with the classification threshold and the total amount threshold, thereby achieving rapid identification and processing of abnormal areas. At the same time, the curing state judgment mechanism based on curing area point selection and micro-force testing ensures that recoating operations are only performed on areas that have not yet been fully cured, thereby avoiding the occurrence of interlayer detachment and optical distortion problems.

[0224] Specifically, the coating quality detection parameters are adjusted based on different abnormal quality types, including:

[0225] Acquire a scanned image of the hologram to be detected in the target hologram coating area after the photoreaction treatment, divide the scanned image of the hologram to be detected into a plurality of areas of preset sizes as a plurality of gray domain blocks to be detected, and analyze the scanned image of the hologram to be detected to obtain image grayscale;

[0226] Compare the image grayscale with the standard grayscale to obtain normal grayscale judgment results and abnormal grayscale judgment results;

[0227] If the grayscale judgment result is normal, obtain the outline of the hologram to be detected in the scanned image of the hologram to be detected, and judge whether the similarity of the outline of the hologram to be detected meets the preset similarity standard;

[0228] If the similarity meets the preset standard, the quality of the hologram to be tested meets the production requirements;

[0229] If the similarity does not meet the preset standard, the quality of the hologram to be tested does not meet the production requirements, and the preset coating liquid spraying amount is reduced; if the grayscale abnormality judgment result is a grayscale abnormal area in each gray domain block and the total grayscale abnormal area of the scanned image of the hologram to be tested are obtained, and compared with the local abnormality threshold and the overall abnormality threshold respectively;

[0230] If the grayscale anomaly is locally distributed, residual impurities may affect the hologram imaging, so adjust the standard impurity quantity threshold to a smaller value.

[0231] If the grayscale anomaly is distributed as a whole, the entire area of the hologram scanned image to be tested is determined to be a solidified area, and the standard reaction force threshold in the solidification test is adjusted;

[0232] In this embodiment, a grid-based image region partitioning method is used to divide the scanned hologram image to be detected into several equal-sized grayscale blocks, each 50 pixels by 50 pixels. This size can ensure local recognition accuracy while controlling the computational complexity, and is suitable for processing images captured by high-resolution industrial cameras.

[0233] Use the linear grayscale normalization algorithm to process the image grayscale so that the grayscale range is standardized to 0~255;

[0234] The standard grayscale range is set to 180-230. This range is obtained based on the statistics of a large number of qualified hologram samples and can effectively reflect the brightness and clarity of the image after light reaction.

[0235] Compare the grayscale value with the standard grayscale range.

[0236] If the grayscale value is within the standard grayscale range, the grayscale normal judgment result is obtained;

[0237] If the grayscale value is not within the standard grayscale range, a grayscale abnormality judgment result is obtained;

[0238] In this embodiment, the steps for determining whether the similarity of the outline of the hologram to be detected meets the preset similarity standard are as follows:

[0239] The contour extraction method based on Canny edge detection + morphological closing operation is adopted: the Canny algorithm captures the strong gradient edge of the image and extracts the preliminary contour of the image;

[0240] Further, the small edges are removed through the dilation morphological operation to form the main contour area;

[0241] The edges are converted into comparable geometric contours using a contour fitting algorithm, and the similarity is determined by the joint matching method of Hu invariant moment + contour Hausdorff distance.

[0242] The Hu moment reflects the shape characteristics of the contour and is invariant to image rotation and scaling;

[0243] The Hausdorff distance measures the maximum deviation distance between two contour point sets and is used to determine the contour matching error;

[0244] Among them, the preset similarity standards include Hu moment matching error and Hausdorff distance;

[0245] Only when the Hu moment matching error is less than 0.05 and the Hausdorff distance is less than 5 pixels, the contour similarity is determined to meet the standard;

[0246] In this embodiment, the local abnormality threshold is 60% of the abnormal area of a single gray block; the overall abnormality threshold is 25% of the total image area;

[0247] This embodiment uses grid-based segmentation and grayscale normalization comparison methods to accurately identify holographic image quality, effectively distinguishing between local impurities and overall curing issues. Combining the Hu moment and Hausdorff distance for contour similarity determination improves the ability to identify image contour integrity and imaging accuracy. This strategy enhances the inspection system's tolerance and ability to adjust to imaging defects.

[0248] See Figure 4 As shown, it is a schematic structural diagram of a thin film hologram generating device according to an embodiment of the present invention. The present invention also provides a thin film hologram generating device applied to the above-mentioned thin film hologram generating method, comprising a conveying mechanism 1, a corona treatment mechanism 2, a pre-shearing mechanism 3, a coating liquid spraying mechanism 4, a coating liquid spreading mechanism 5, a coating liquid quantitative scraping mechanism 6, a first visual scanning mechanism 7, a weight detection mechanism 8, an impurity detection mechanism 9, a curing detection mechanism 10, a photoreaction mechanism 11, a second visual scanning mechanism 12, a secondary processing mechanism 13, and a control mechanism (not shown in the figure), wherein:

[0249] The conveying mechanism 1 is used to drive the film to move along a specified path so that it passes through each processing station in sequence;

[0250] A corona treatment mechanism 2, which is used to perform corona treatment on the film conveyed by the conveying mechanism;

[0251] A pre-shearing mechanism 3, which is connected to the corona treatment mechanism, is used to obtain a film that has been corona treated and meets the pre-shearing standard, and to shear the film;

[0252] The coating liquid spraying mechanism 4 is connected to the front shearing mechanism, which is used to obtain the film and evenly spray the coating liquid on the surface of the film according to the preset coating liquid spraying amount;

[0253] The coating liquid spreading mechanism 5 is connected to the coating liquid spraying mechanism and is used to spread the sprayed coating liquid so that it evenly covers the surface of the film to obtain a coating layer;

[0254] The coating liquid quantitative scraping mechanism 6 is connected to the coating liquid quantitative scraping mechanism, and is used to obtain the coating layer and scrape the coating layer at a preset scraping gap to form a coated film;

[0255] A first visual scanning mechanism 7, which is connected to the coating liquid quantitative scraping mechanism, and is used to scan the coated film to obtain a scanning image and a side scanning image;

[0256] The weight detection mechanism 8 is connected to the coating liquid quantitative scraping mechanism and is used to detect the weight of the film and coating liquid in a specific area;

[0257] Impurity detection mechanism 9, used to determine the amount and location of impurities in the image;

[0258] The curing detection mechanism 10 is used to detect the curing degree of the coating liquid;

[0259] The light reaction mechanism 11 is connected to the first visual scanning mechanism and the curing detection mechanism, and is used to emit a light source of a specific wavelength band to illuminate the coating area to form a film pattern;

[0260] The second visual scanning mechanism 12 is used to obtain a scanning image of the hologram to be detected;

[0261] Secondary processing mechanism 13, used for drying, water-cooling curing, line exposure operation and UI lamp secondary curing;

[0262] A control mechanism is respectively connected to the conveying mechanism 1, the corona treatment mechanism 2, the pre-shearing mechanism 3, the coating liquid spraying mechanism 4, the coating liquid spreading mechanism 5, the coating liquid quantitative scraping mechanism 6, the first visual scanning mechanism 7, the weight detection mechanism 8, the impurity detection mechanism 9, the curing detection mechanism 10, the photoreaction mechanism 11, the second visual scanning mechanism 12 and the secondary processing mechanism 13, and is used to control the working process of each mechanism.

[0263] In this embodiment, the specific area detected by the weight detection mechanism is the coating area of the target hologram corresponding to the coating area number of each target hologram.

[0264] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0265] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for generating a thin film hologram, characterized in that: include, Pre-treatment of the film, including film corona treatment and pre-shearing process; Performing a standard coating operation on the pretreated film using a preset coating liquid spray amount and a standard coating operation process, and obtaining various coating quality detection parameters after the operation is completed to detect the coating quality, including coating continuity evaluation and coated film quality ratio analysis; Among them, standard coating operations include spraying, spreading and quantitative scraping of coating liquid; obtaining a scanned image of the coated film through the coating continuity evaluation, and determining a coating liquid continuity category based on the scanned image; If the coating liquid continuous category is the coating liquid partially discontinuous category, performing the coating film quality ratio analysis, including the coating liquid retained quality analysis and the coating liquid ratio analysis; If the coating liquid retained mass analysis results in a first retained mass result and the coating liquid ratio analysis result is a second coating liquid density, executing a re-coating trigger determination step, including impurity quantity detection and curing degree determination; If a first impurity detection result is obtained through the impurity quantity detection and the curing degree is determined to be an uncured state, remedial measures are taken such as re-coating and performing a photoreaction treatment; The quality of the hologram after the light reaction is inspected, and the coating quality inspection parameters are adjusted based on different abnormal quality types.

2. The thin film hologram generation method according to claim 1, characterized in that: The pre-shearing process includes: Acquire the film thickness value and various parameter information of the target hologram, wherein the various parameter information of the target hologram includes the target hologram size value and the target hologram image information; Obtaining a comparison result between the film thickness value and a standard thickness threshold, and determining whether to perform a pre-shearing process based on the comparison result; Among them, the film thickness value is compared with the standard thickness threshold. If the film thickness value is less than the standard thickness threshold, executing a shearing number acquisition step, shearing the film with the standard shearing area, and further performing a photoreaction treatment after performing a standard coating operation; If the film thickness value is greater than or equal to the standard thickness threshold, a shearing number is obtained based on the shearing number obtaining step, the film is not pre-sheared, a subsequent standard coating operation is performed, and the coating quality is tested; Among them, the shearing number acquisition step is to determine the coating area of the target hologram based on the target hologram size value and the size scale factor to determine the shearing area of the film and the standard shearing size value corresponding to the shearing area, and obtain the standard shearing area and shearing number corresponding to the standard shearing size value.

3. The method for generating a thin film hologram according to claim 2, wherein: Testing the coating quality includes: Obtaining a scanning image of the coated film, including a coating surface scanning image and a side scanning image; Evaluating the coating continuity based on the scanned image of the coating surface to determine the coating liquid continuity category, including the coating liquid overall continuity category and the coating liquid local discontinuity category; If the coating liquid continuity category is the overall coating liquid continuity category, a thickness test is performed, and based on the test results, it is determined whether to take re-coating remedial measures, and the corresponding number of re-coating times is limited when different re-coating remedial measures are taken; If the coating liquid continuity category is the coating liquid partial discontinuity category, performing a coating film mass ratio analysis, and judging whether to take a recoating remedial measure based on the mass ratio analysis result, or performing a recoating trigger judgment step based on the side scan image; Among them, the remedial measure of re-coating is to re-execute the standard coating operation process.

4. The method for generating a thin film hologram according to claim 3, wherein: The coating continuity evaluation process includes: Obtaining the coating area number of each target hologram, and updating the shearing number obtained by shearing processing to the coating area number corresponding to each target hologram; Obtain the closed contour image of the coating liquid and the internal area of the closed contour in the scanning image of the coating surface in any coating area, calculate the area error normalization index, and compare it with the standard area error. If the standard area error normalization index is less than the standard area error, further obtaining a first average thickness of the coating area of the target hologram, and performing a thickness test on the first average thickness to determine whether a coating liquid film exists; If the normalized index of the standard area error is greater than or equal to the standard area error, the coating liquid film is broken, the coating liquid continuous category is the coating liquid local discontinuity category, and the coating film quality ratio analysis is performed on the coating area of the target hologram, including the coating liquid retention quality analysis and the coating liquid ratio analysis. When the coating liquid retention quality analysis obtains the first retention quality result, the coating liquid ratio analysis is further performed; The area error normalization index is the ratio of the absolute value of the difference between the inner area of the closed contour and the coating area of the target hologram to the coating area of the target hologram.

5. The method for generating a thin film hologram according to claim 3, wherein: The thickness detection includes, Compare the first average thickness value with the standard coating liquid thickness threshold, If the first average thickness value is greater than or equal to the standard coating liquid thickness threshold, a light reaction treatment is performed; If the first average thickness value is less than the standard coating liquid thickness threshold and is not zero, the coating speed in the quantitative coating step of the coating liquid is reduced, and re-coating remedial measures are performed and the re-coating is limited to two times or less; If the first average thickness value is less than the standard coating liquid thickness threshold and is zero, the coating liquid spraying equipment fails, and re-coating remedial measures are performed and the re-coating is limited to three times or less.

6. The method for generating a thin film hologram according to claim 4, wherein: The process of the coating liquid retention quality analysis is as follows: Obtain the coating liquid retention mass in the coating area of any target hologram and compare it with the standard retention mass. If the retained mass of the coating liquid is greater than or equal to the standard retained mass, a first retained mass result is obtained, and the coating liquid ratio analysis is performed; If the retained mass of the coating liquid is less than the standard retained mass, a second retained mass result is obtained, the preset coating liquid spraying amount is increased, and re-coating remedial measures are performed before performing a light reaction treatment; The standard retained mass is the theoretical mass of the coating liquid retained on the film under each standard operation.

7. The method for generating a thin film hologram according to claim 6, wherein: The process of performing the coating liquid ratio analysis is as follows: Obtaining the initial ratio of the coating liquid and the real-time flow rate of the coating liquid in the coating area of the target hologram; Based on the empirical density conversion formula, the real-time density of the coating liquid corresponding to the real-time flow rate of the coating liquid is obtained; Compare the real-time density of the coating liquid with the standard density threshold corresponding to the initial ratio of the coating liquid. If the real-time density of the coating liquid is less than or equal to the standard density threshold, the first coating liquid density is obtained, and the real-time density of the coating liquid is normal, the scraping gap in the quantitative scraping step of the coating liquid is reduced, and re-coating remedial measures are performed and light reaction treatment is performed; If the real-time density of the coating liquid is greater than the standard density threshold, a second coating liquid density is obtained, and the real-time density of the coating liquid is abnormal, and a re-coating trigger judgment step is further performed.

8. The method for generating a thin film hologram according to claim 7, wherein: The process of detecting the amount of impurities is as follows: Obtaining the number of foreign particles in the coating liquid in the coating surface and side scan images, comparing them with a standard foreign matter number threshold, and obtaining a first foreign matter detection result and a second foreign matter detection result; If the first impurity detection result is obtained, the impurity elimination measures are executed and then the impurity quantity is re-detected until the re-detected impurity quantity is less than the standard impurity quantity threshold; If the second impurity test result is obtained, continue to determine the degree of curing to determine whether it meets the recoating standard; Among them, the impurity quantity re-test is to re-execute the impurity quantity test; The process of judging the degree of curing is to perform a curing test on the coating area of any target hologram to obtain a solid state test result; If it is in a cured state, adjust the ambient light intensity, obtain the number of the coating area of the target hologram and mark the area as a non-recoating area, and perform photoreaction treatment; If it is in an uncured state, obtaining a ratio adjustment factor corresponding to the current coating liquid ratio, adjusting the coating liquid ratio parameters according to the factor, performing re-coating remedial measures with the current coating liquid ratio, and then performing a light reaction treatment; A hologram image inspection is performed on the coating area of the target hologram after the photoreaction treatment to perform a quality inspection on the hologram after the photoreaction.

9. The method for generating a thin film hologram according to claim 8, wherein: Adjusting coating quality detection parameters based on different abnormal quality types includes: Acquire a scanned image of the hologram to be detected in the target hologram coating area after photoreaction treatment, divide the scanned image of the hologram to be detected into a plurality of areas of preset sizes as a plurality of gray domain blocks to be detected, and analyze the scanned image of the hologram to be detected to obtain image grayscale; Compare the image grayscale with the standard grayscale to obtain normal grayscale judgment results and abnormal grayscale judgment results; If the grayscale judgment result is normal, obtain the outline of the hologram to be detected in the scanned image of the hologram to be detected, and judge whether the similarity of the outline of the hologram to be detected meets the preset similarity standard; If the similarity meets the preset standard, the quality of the hologram to be tested meets the production requirements; If the similarity does not meet the preset standard, the quality of the hologram to be tested does not meet the production requirements, and the preset coating liquid spraying amount is reduced; If the result is grayscale abnormality, the grayscale abnormal area in each gray domain block and the total grayscale abnormal area of the hologram scan image to be detected are obtained, and compared with the local abnormality threshold and the overall abnormality threshold respectively; If the grayscale anomaly is locally distributed, residual impurities may affect the hologram imaging, so adjust the standard impurity quantity threshold to a smaller value. If the grayscale anomaly is distributed as a whole, the entire area of the hologram scanned image to be detected is determined to be a solidified area, and the standard reaction force threshold in the solidification detection is adjusted.

10. A thin film hologram generating device applied to the thin film hologram generating method according to any one of claims 1 to 9, characterized in that: include, The conveying mechanism is used to drive the film to move along a specified path so that it passes through each processing station in sequence; A corona treatment mechanism for performing corona treatment on the film conveyed by the conveying mechanism; A pre-shearing mechanism, connected to the corona treatment mechanism, is used to obtain a film that has been corona treated and meets the pre-shearing standard, and to shear the film; A coating liquid spraying mechanism, which is connected to the front shearing mechanism, is used to obtain the film and evenly spray the coating liquid on the surface of the film according to a preset coating liquid spraying amount; The coating liquid spreading mechanism is connected to the coating liquid spraying mechanism and is used to spread the sprayed coating liquid so that it evenly covers the surface of the film to obtain a coating layer; a coating liquid quantitative scraping mechanism connected to the coating liquid quantitative scraping mechanism, for obtaining the coating layer and scraping the coating layer at a preset scraping gap to form a coated film; a first visual scanning mechanism, connected to the coating liquid quantitative scraping mechanism, for scanning the coated film to obtain a scanning image and a side scanning image; A weight detection mechanism, which is connected to the coating liquid quantitative scraping mechanism, and is used to detect the weight of the film and coating liquid in a specific area; An impurity detection mechanism for determining the amount and location of impurities in an image; Curing detection mechanism, used to detect the curing degree of the coating liquid; A light reaction mechanism, connected to the first visual scanning mechanism and the curing detection mechanism, is used to emit a light source of a specific wavelength band to illuminate the coating area to form a film pattern; A second visual scanning mechanism for acquiring a scanning image of the hologram to be detected; Secondary processing mechanism, used for drying, water-cooling curing, online exposure operation and UI lamp secondary curing; A control mechanism is respectively connected to the conveying mechanism, the corona treatment mechanism, the pre-shearing mechanism, the coating liquid spraying mechanism, the coating liquid spreading mechanism, the coating liquid quantitative scraping mechanism, the first visual scanning mechanism, the weight detection mechanism, the impurity detection mechanism, the curing detection mechanism, the photoreaction mechanism, the second visual scanning mechanism and the secondary processing mechanism, and is used to control the working process of each mechanism.

Images