LED soft screen

Abstract

The present application belongs to the field of display screen performance diagnosis and analysis, and relates to a LED soft screen. The present application realizes accurate transmission of content to be displayed through real-time interaction of a display content transmission module and a signal interface; realizes intelligent identification and marking of color deviation partition through capturing dynamic pictures by a high-speed camera device and performing multi-dimensional color analysis (brightness mean value, comprehensive color difference value, response time delay amount); realizes accurate color correction under dynamic environment by combining frame-by-frame scanning correction of RGB driving current, through inputting the flexible characteristics (multi-axis folding angle, minimum spacing of lamp beads, folding angle of lamp beads) and environmental characteristics (environmental illumination, visibility) of the LED soft screen into a least squares fitting model to generate a color compensation mapping table; and realizes partition diagnosis of aging performance and heat dissipation performance through brightness attenuation rate and heat dissipation efficiency analysis.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of display screen performance diagnosis and analysis, and relates to an LED soft screen. BACKGROUND

[0002] With the continuous development of display technology, LED soft screens have been widely used in advertising display, virtual reality, smart home and other fields due to their flexibility, thinness, bendability and other characteristics. However, they are easily affected by environmental light, physical deformation (such as folding) and lamp bead aging during dynamic display, resulting in color distortion, uneven brightness and response delay. The existing technology focuses on single-link optimization, which is difficult to achieve full-link color consistency control, and lacks real-time diagnosis of aging and heat dissipation, restricting the application of high reliability scenarios.

[0003] In the prior art, there are some related patents for color deviation correction of LED display screens. For example, a color uniformity correction method, system, device and medium for an LED display screen disclosed in Chinese Patent Publication No. CN118506718B, the method calculates the edge splicing pixel difference of each splicing module and the center pixel mean value of adjacent splicing modules, and according to the center pixel mean value and the corresponding edge splicing pixel difference, the gap pixels between adjacent splicing modules are uniformly processed, the LED module duty cycle of each splicing module is obtained, and according to the uniform processing result, the LED module duty cycle of adjacent modules is adjusted at the same frequency to obtain the color uniformity correction data of the LED display screen.

[0004] For example, a method for correcting the spatial color of an LED display screen under a mobile viewing angle, a medium and an apparatus disclosed in Chinese Patent Publication No. CN115083303B, the present application calculates the color correction LUT for the LED display screen with complex color deviation, to obtain more accurate correction effect. Thus, the present application has good color correction effect on the color deviation problem of the ground LED display screen.

[0005] However, the existing technology has the following problems: 1. Color deviation correction problem: the existing color deviation correction methods are mostly based on fixed parameters or simple threshold judgment, which cannot fully consider the flexible characteristics of LED display screens and complex environmental factors, resulting in low correction accuracy and poor adaptability, and easy overcompensation or insufficient compensation.

[0006] 2. Color deviation partition identification problem: the existing methods mostly rely on brightness or single color parameter (such as RGB value) for judgment, which cannot comprehensively reflect the comprehensive dynamic influence of multi-dimensional characteristics (such as color difference value, lamp bead response delay) of color deviation, resulting in insufficient identification accuracy of color deviation type. SUMMARY

[0007] The application aims to provide an LED soft screen, solve the problems of poor adaptability of color deviation correction, low partition recognition accuracy and lack of performance diagnosis in the prior art, and improve the display quality and long-term stability of the LED soft screen.

[0008] The application provides an LED soft screen including a display content transmission module, a color display condition analysis module, a color abnormality discrimination module, a partition color correction module and a soft screen performance diagnosis module.

[0009] The display content transmission module is used for receiving the to-be-displayed content of a signal source through a signal interface and transmitting the to-be-displayed content to a control terminal of the LED soft screen for display.

[0010] The color display condition analysis module is used for capturing a dynamic picture displayed by the LED soft screen, calculating the brightness mean value, the comprehensive color difference value and the response time delay amount of each partition based on the CIE chromaticity space, and identifying and marking the color deviation partition.

[0011] The color abnormality discrimination module is used for generating a color compensation mapping table of the color deviation partition through a pre-trained least square fitting model according to the soft screen flexibility characteristics and the environmental characteristics of the color deviation partition.

[0012] The partition color correction module is used for loading the compensation mapping table to the constant current controller of the corresponding partition to synchronously correct the RGB drive current of the color deviation partition in a frame-by-frame scanning mode.

[0013] The soft screen performance diagnosis module is used for diagnosing the aging performance and the heat dissipation performance of the LED soft screen partition after the color correction of the color deviation partition and feeding back the diagnosis report.

[0014] Compared with the prior art, the application has the following beneficial effects: (1) the application calculates the brightness mean value, the comprehensive color difference value and the response time delay amount of each partition through the CIE chromaticity space, identifies and marks the color deviation partition, thereby improving the identification accuracy of the color deviation partition and providing a more accurate basis for subsequent color correction.

[0015] (2) the application generates the color compensation mapping table of the color deviation partition by using the flexible characteristics of the LED soft screen, such as the multi-axis folding angle, the minimum spacing of the lamp beads and the folding angle of the lamp beads, and the environmental parameters, such as the environmental illumination and the visibility, adopts a multi-dimensional dynamic compensation mechanism, solves the problems of adaptability to the shape change of the flexible screen body and the complex environment, significantly improves the color deviation correction accuracy, and meets the requirement of color consistency of the soft screen.

[0016] (3) The application trains the least square fitting model by introducing the historical color cast record, and establishes the dynamic mapping relationship between the feature matrix and the color compensation coefficient, so that the compensation strategy is automatically optimized with the flexibility change of the soft screen and the environmental change, and the adaptability in multiple use scenarios is enhanced.

[0017] (4) The application analyzes the aging performance through the luminance attenuation rate, evaluates the state of the heat dissipation system in combination with the heat dissipation efficiency, can locate the abnormal partition in real time and generate a diagnosis report, solves the traditional post-detection problem, and realizes fault early warning and maintenance decision support. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiment description, and obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0019] Figure 1 It is a schematic diagram of the connection of each module of the system of the application.

[0020] Figure 2 It is a flow chart of the comprehensive color difference value calculation step in the color display condition analysis module of the application.

[0021] Figure 3 It is a pre-training step flow chart of the least square fitting model in the color anomaly discrimination module of the application.

[0022] Figure 4 It is a block diagram of the storage medium for realizing the application. DETAILED DESCRIPTION

[0023] Various exemplary embodiments of the application will now be described in detail with reference to the accompanying drawings. Note that the relative arrangement, numerical expressions, and values of the components and steps set forth in these embodiments are not limiting to the scope of the application unless specifically stated otherwise. At the same time, it should be understood that the sizes of the various parts shown in the drawings are not drawn in accordance with the actual proportional relationship for the convenience of description.

[0024] The following description of at least one example embodiment is merely exemplary in nature and is in no way intended to limit the application or its application or uses. Techniques, methods, and devices known to those skilled in the relevant art can not be discussed in detail, but should be considered as part of the specification where appropriate.

[0025] In all examples shown and discussed here, any specific value should be interpreted as merely exemplary, not as a limitation. Therefore, other examples of the exemplary embodiments can have different values.

[0026] The application provides an LED soft screen, which realizes accurate transmission of to-be-displayed content through real-time interaction of a display content transmission module and a signal interface; realizes intelligent identification and marking of color deviation partitions through capturing dynamic pictures by a high-speed camera and performing multi-dimensional color analysis (luminance mean value, comprehensive color difference value and response time delay amount); realizes accurate color correction in a dynamic environment through color compensation mapping table generation based on a least square fitting model constructed by the flexible characteristics (multi-axis folding angle, minimum lamp bead spacing and lamp bead folding angle) and environmental characteristics (environmental illumination and visibility) of the LED soft screen, combined with frame-by-frame scanning correction of RGB driving current; and realizes partition diagnosis of aging performance and heat dissipation performance through luminance attenuation rate and heat dissipation efficiency analysis. The scheme not only breaks through the color deviation correction bottleneck of the existing LED soft screen under the conditions of flexible deformation and environmental light interference, but also provides a systematic solution for long-term reliability evaluation of the soft screen display device.

[0027] As shown in Figure 1 An LED soft screen includes a display content transmission module, a color display condition analysis module, a color abnormality discrimination module, a partition color correction module and a soft screen performance diagnosis module. The connection relationship between the modules is that the display content transmission module is connected with the color display condition analysis module, the color display condition analysis module is connected with the color abnormality discrimination module, the partition color correction module is connected with the color abnormality discrimination module, and the soft screen performance diagnosis module is connected with the partition color correction module.

[0028] The display content transmission module is used for receiving to-be-displayed content of a signal source through a signal interface and transmitting the to-be-displayed content to a control terminal of the LED soft screen for display.

[0029] The color display condition analysis module is used for capturing dynamic pictures displayed by the LED soft screen, calculating the luminance mean value, comprehensive color difference value and response time delay amount of each partition based on the CIE chromaticity space, and identifying and marking color deviation partitions.

[0030] The color deviation partition identification method is as follows: difference analysis is performed based on the luminance mean value of each partition and the reference white luminance to obtain a luminance difference; the luminance difference, comprehensive color difference value and response time delay amount of each partition are compared with the luminance difference threshold value, color difference threshold value and delay amount threshold value set by a person, respectively; if any of the luminance difference, comprehensive color difference value or response time delay amount of a certain partition exceeds the corresponding threshold value, the partition is a color deviation partition and is marked.

[0031] The application calculates the luminance mean value, comprehensive color difference value and response time delay amount of each partition based on the CIE chromaticity space, identifies and marks color deviation partitions, thereby improving the identification accuracy of color deviation partitions and providing a more accurate basis for subsequent color correction.

[0032] The luminance difference is the absolute value of the result of subtracting the average luminance from the reference white luminance, and is calculated by ratio with the reference white luminance. In a specific embodiment, the luminance difference threshold , the color difference threshold (CIE2000 standard), the delay amount threshold .

[0033] It should be noted that the color display condition analysis module includes the following: capturing the dynamic picture of the LED soft screen display by a high-speed camera, and dividing the captured dynamic picture into a plurality of partitions by grid.

[0034] Extracting the RGB value of each partition and converting it into XYZ tristimulus value, and then obtaining the xy chromaticity coordinate and luminance Y value.

[0035] Further, the xy chromaticity coordinate and luminance Y value are obtained by applying a conversion matrix to the RGB value (R, G, B) of all pixel points in each partition to calculate the XYZ value: [ X Y Z ] = M 3 × 3 × [ R G B ] , wherein represents a customized conversion matrix based on the spectral characteristics of the LED.

[0036] The xy chromaticity coordinate (x, y) is derived from the XYZ value, wherein , .

[0037] The luminance Y value of all pixel points in each partition is averaged to obtain the average luminance.

[0038] The xy chromaticity coordinate of all pixel points in each partition is compared with the preset target xy value, and the chromaticity difference, lightness difference and hue angle difference are analyzed, and the comprehensive color difference value is calculated according to the CIE2000 standard formula.

[0039] As shown in Figure 2 , the comprehensive color difference value calculation step is as follows: S1, extracting the xy chromaticity coordinate of all pixel points in each partition, and determining the preset target xy value at the corresponding position.

[0040] S2, converting the xy chromaticity coordinate into lightness, chroma and hue angle, and subtracting the lightness, chroma and hue angle converted from the preset target xy value respectively to obtain the chroma difference, lightness difference and hue angle difference.

[0041] S3, converting the xy chromaticity coordinate into lightness, chroma and hue angle respectively into lightness compensation function, chroma compensation function and hue compensation function to obtain lightness weight, chroma weight and hue weight.

[0042] S4, calculate the comprehensive color difference value according to the CIE 2000 standard formula, and obtain the comprehensive color difference value of each partition by averaging the comprehensive color difference values of all pixel points.

[0043] Brightness refers to the brightness of color, which is a quantitative indicator of visual perception of color "light and dark", reflecting the luminous intensity or reflectivity of color under light. It can distinguish the light and dark levels of color, such as red, which can be divided into deep red (low brightness) and light red (high brightness). In CIE color space, the brightness Y value is substituted into the standard brightness calculation formula to obtain the brightness .

[0044] Chroma is a set of color properties, including hue and saturation, used to describe the "category" and "vividness" of color. Hue: refers to the specific category of color, such as red, green, and blue, which is the fundamental feature of distinguishing different colors. Saturation: refers to the vividness of color, the higher the saturation, the more vivid the color (such as pure red); the lower the saturation, the closer the color to gray (such as gray red). In polar coordinate color space, saturation is calculated by the deviation of color from gray; in CIE color space, chroma , where and are derived from the standard derivation formula and the standard derivation formula .

[0045] Hue angle is a parameter in the polar coordinate color model that represents the hue in angle value. Different angles correspond to different colors, forming a color circle cycle (usually 0 ~ 360). It can accurately locate the color category, such as 0 corresponding to red, 120 corresponding to green, and 240 corresponding to blue. In CIE color space, the hue angle . Through the hue angle, the "bias" of color can be quantified directly, which helps color difference analysis and correction.

[0046] Brightness compensation function is a mathematical model for correcting color brightness deviation, which adjusts the luminous intensity of pixel points to make the actual display brightness close to the target value. The brightness weight is obtained by substituting the brightness into the chroma compensation function, which reflects the influence weight of brightness on color difference.

[0047] Chroma compensation function is a function model for correcting the hue and saturation deviation of color, ensuring that the color purity and category meet the design requirements. The chroma weight is obtained by substituting the chroma into the chroma compensation function, which reflects the sensitivity of chroma change to color difference.

[0048] Hue compensation function is a compensation model designed for color category deviation (such as red bias towards orange), which realizes accurate hue correction by adjusting the hue angle. The hue weight is obtained by substituting the chroma and the hue angle Substitute the hue compensation function to obtain.

[0049] The CIE2000 standard formula is , wherein respectively represent the chroma difference, the lightness difference and the hue angle difference, represents the comprehensive color difference, represents the hue rotation function, , respectively are the lightness weight, the chroma weight and the hue weight.

[0050] It should be noted that the standard lightness calculation formula, the standard derivation formula and the standard derivation formula, the lightness compensation function, the chroma compensation function, the hue compensation function and the CIE2000 standard formula are all prior art of the CIE color space, which will not be described in detail here.

[0051] By comparing the timestamp of the received signal source and the actually displayed timestamp, the response time delay is obtained by the difference between the two. The time stamp generator is embedded in the display content transmission module, and the trigger pulse is sent to the control terminal and the high-speed camera synchronously, the capture timestamp of the high-speed camera is recorded as the timestamp of the received signal source, and the timestamp when the partition brightness reaches 90% of the target value is recorded as the actually displayed timestamp.

[0052] The color anomaly discrimination module is used to generate a color compensation mapping table of the color deviation partition according to the soft screen flexibility characteristics and the environmental characteristics of the color deviation partition through a pre-trained least squares fitting model.

[0053] The color anomaly discrimination module specifically includes the following contents: extracting the soft screen flexibility characteristics and the environmental characteristics of the color deviation partition, the soft screen flexibility characteristics including multi-axis folding angle, minimum lamp bead spacing, lamp bead folding angle, and the environmental characteristics including visibility and environmental illumination.

[0054] The soft screen flexibility characteristics and the environmental characteristics are normalized, and a feature matrix is constructed in combination with the chroma difference, the lightness difference and the hue angle difference.

[0055] A least squares fitting model is constructed with the feature matrix as input and the color compensation coefficient matrix as output.

[0056] The feature matrix of each color deviation partition is substituted into the constructed least squares fitting model to obtain the color compensation coefficient matrix of each color deviation partition, and a color compensation mapping table of the color deviation partition is generated.

[0057] The application generates a color compensation mapping table of color deviation partitions by the multi-axis folding angle, the minimum spacing of lamp beads, the folding angle of lamp beads and other flexible characteristics of the LED soft screen and environmental parameters such as environmental illumination and visibility, adopts a multi-dimensional dynamic compensation mechanism, solves the problems of flexible screen form change and complex environment adaptability, significantly improves the color deviation correction accuracy, and meets the color consistency requirements of the soft screen.

[0058] In a specific embodiment, the multi-axis folding angle is the folding angle of the XYZ axis when the LED soft screen is installed, and the XYZ axis folding angle of the LED soft screen during folding is sensed in real time by embedding a micro high-precision angle sensor (such as a gyroscope or an inclination sensor) at the key nodes (such as hinges) of the folding axis of the LED soft screen. The normalization processing mode of the multi-axis folding angle is: , wherein is the normalized multi-axis folding angle, are the folding angles of the XYZ axis, respectively, is the maximum angle of the LED soft screen during multi-axis folding.

[0059] The minimum spacing of lamp beads is the minimum spacing of the surfaces of adjacent lamp beads during folding of the LED soft screen. The lamp bead array of the color deviation partition of the LED soft screen is scanned by a micro laser displacement sensor, the shortest distance between the edges of adjacent lamp beads is measured, and the shortest distance between the edges of all adjacent lamp beads in the color deviation partition is selected as the minimum spacing of the lamp beads. For a small spacing, optical magnification equipment can be used for auxiliary measurement. The normalization processing mode of the minimum spacing of the lamp beads is , wherein is the normalized minimum spacing of the lamp beads, is the minimum spacing of the lamp beads, is the average value of the surface spacing between all adjacent lamp beads in the color deviation partition.

[0060] The folding angle of the lamp beads is the inclination angle of the lamp beads during folding of the LED soft screen. The inclination state of the lamp bead array of the color deviation partition of the LED soft screen is monitored in real time by the inclination sensor integrated on each lamp bead packaging substrate. When the lamp beads are folded with the soft screen, the sensor captures the angle change generated by the folding deformation in real time, and records the folding angle of the lamp beads. The normalization processing mode of the folding angle of the lamp beads is to calculate the maximum value , the mean value and the standard deviation of all the folding angles of the lamp beads in the color deviation partition of the LED soft screen, and obtain the normalized folding angle of the lamp beads by using the Z-score standardization formula .

[0061] The visibility is the environmental visibility of the installation periphery of the LED soft screen. The particle concentration is measured by a particulate matter concentration sensor, and the environmental visibility is inversely calculated The normalized visibility is , wherein is the normalized visibility.

[0062] The ambient illuminance is the ambient illuminance received by the LED soft screen, and is sensed by a light intensity sensor (such as a photoresistor or a silicon photocell illuminometer) to convert the light signal into an electrical signal, and output the ambient illuminance value after calibration and calculation, so as to realize quantitative monitoring of the light intensity. The normalized processing mode of the ambient illuminance is to take the ratio of the ambient illuminance and the set ambient illuminance, wherein the set ambient illuminance can be 100000 lux.

[0063] As shown in Figure 3 , the pre-training step of the least square fitting model is: step one, retrieve the historical color deviation record from the control terminal of the LED soft screen, screen the soft screen flexibility features, environmental features and color difference values of multiple color deviation partitions, and construct a reference feature matrix after normalization processing. The color difference values include the chroma difference value, the lightness difference value and the hue angle difference value.

[0064] Step two, extract the color compensation coefficients of multiple color deviation partitions during color correction, including the brightness, chroma and hue compensation coefficients of the RGB channel, to form a reference color compensation coefficient matrix.

[0065] Step three, solve the weight matrix by the least square method for the reference feature matrix and the reference color compensation coefficient matrix, and construct the least square fitting model with the feature matrix as the input and the color compensation coefficient matrix as the output according to the solved weight matrix.

[0066] The present application trains the least square fitting model by introducing the historical color deviation record, establishes the dynamic mapping relationship between the feature matrix and the color compensation coefficient, automatically optimizes the compensation strategy with the change of the soft screen flexibility and the change of the environment, and enhances the adaptability in multiple use scenarios.

[0067] The weight matrix solving process is: a linear relationship is established between the reference feature matrix and the reference color compensation coefficient matrix to obtain the linear equation of the reference feature matrix and the reference color compensation coefficient matrix , wherein is the reference color compensation coefficient matrix, is the weight matrix, is the reference feature matrix.

[0068] The weight matrix is solved by the least square method , wherein is the reference feature transposition matrix, is the inverse matrix operation.

[0069] In a specific embodiment, the historical color cast records are called from the control terminal of the LED soft screen, 1000 color cast partition events are screened, the soft screen flexibility features (multi-axis folding angle, minimum distance between lamp beads and lamp bead folding angle), environmental features (visibility and environmental illumination) and color difference values (color difference value, lightness difference value and hue angle difference value) of the 1000 color cast partition events are extracted, normalized processing is performed to construct a reference feature matrix (the dimension of which is ); meanwhile, the reference color compensation coefficient matrix (the dimension of which is ) is determined according to the brightness, chroma and hue compensation coefficients of the RGB channel of the 1000 color cast partition events at the time of color correction.

[0070] The reference feature matrix is subjected to a transpose operation to obtain a reference feature transpose matrix (the dimension of which is ), matrix multiplication is performed to calculate the product of (the dimension of which is ), then the inverse of is calculated to obtain an inverse matrix (the dimension of which is ).

[0071] The reference feature transpose matrix is multiplied by the reference color compensation coefficient matrix to obtain a matrix (the dimension of which is ), and and are substituted into the formula to obtain a weight matrix (the dimension of which is ).

[0072] A least square fitting model is constructed with the feature matrix as input and the color compensation coefficient matrix as output .

[0073] The partition color correction module is used to load the compensation mapping table to the constant current controller of the corresponding partition to synchronously correct the RGB drive current of the color cast partition in a frame-by-frame scanning manner.

[0074] ​The RGB drive current correction method of the color deviation partition is: setting the original RGB drive current of the color deviation partition, calling the luminance, chrominance, and hue compensation coefficients of the RGB channel from the compensation mapping table, coupling them with the corresponding brightness weight, chrominance weight, and hue weight respectively, multiplying the coupling results with the original RGB drive current of the color deviation partition to obtain the corrected RGB drive current of the color deviation partition, loading the corrected RGB drive current of the color deviation partition into the constant current controller according to the corresponding partition through the distributed drive circuit, and updating the RGB drive current frame by frame.

[0075] Further, the corrected RGB drive current analysis method of the color deviation partition is: , are the corrected RGB drive currents of the color deviation partition, are the original RGB drive currents of the color deviation partition, determined by the preset value of the constant current controller. are the luminance compensation coefficient, the chrominance compensation coefficient, and the hue compensation coefficient of the RGB channel, is the hue angle, respectively represent the hue angle difference. is the luminance compensation, which equally acts on the RGB three channels to improve the overall luminous intensity; is the chrominance compensation, which adjusts the red-green channel ratio through polar decomposition (cos / sin) to correct the saturation; is the hue compensation, which compensates the blue channel in the opposite direction to correct the hue angle deviation.

[0076] The following is a list of test data of the RGB drive current of multiple color deviation partitions based on compensation coefficient correction, combined with specific parameter examples and calculation results, as shown in Table 1.

[0077] Table 1, list of test data of the RGB drive current of multiple color deviation partitions

[0078]

[0079] As can be seen from the table, the luminance compensation dominates the scene, such as color deviation partition 3: when the luminance compensation coefficient is large (such as 0.2), the RGB three-channel current is significantly improved, the overall luminance mean is increased, and it is suitable for low-brightness color deviation.

[0080] The chrominance compensation dominates the scene, such as color deviation partition 1: when the chrominance compensation coefficient is large (such as 0.2), the RGB three-channel current is significantly improved, the overall luminance mean is increased, and it is suitable for low-brightness color deviation. The chrominance compensation adjusts the red-green channel ratio through polar decomposition (cos / sin) to correct the saturation deviation (such as increasing the red channel current when the red color is gray).

[0081] The hue compensation sensitive scene, such as color deviation partition 2: the blue channel current is affected by the hue compensation coefficient, ​Reverse correction, when hue angle deviation When it is large (e.g. 10°), the blue light output needs to be significantly reduced to correct the hue deviation.

[0082] Ambient light interference suppression, such as color deviation partition 4: under high ambient illumination (>100000 lux), the compensation coefficient needs to superimpose an ambient light offset term (such as reducing the brightness weight ), to avoid overcompensation leading to distortion.

[0083] Through experimental data verification, the driving current correction formula based on the compensation coefficient can effectively reduce the comprehensive color difference value, and the correction amplitude dynamically adapts to the lamp bead arrangement characteristics (such as folding angle) and environmental parameters (such as visibility), meeting the color consistency requirements of flexible screens.

[0084] Soft screen performance diagnosis module, used for diagnosing the aging performance and heat dissipation performance of the LED soft screen partition after color deviation partition color correction, and feeding back the diagnosis report.

[0085] The specific content of the soft screen performance diagnosis module includes: real-time acquisition of dynamic pictures and thermal images of the LED soft screen after color deviation partition color correction, obtaining the brightness values of all partitions based on the dynamic pictures, and performing brightness decay analysis on the brightness values of all partitions and the set brightness values according to the set brightness values of the dynamic pictures corresponding to the to-be-displayed content, to obtain the brightness decay rate. The brightness decay rate is the percentage calculation of the difference value between the brightness value and the set brightness value, to obtain the brightness decay rate.

[0086] Based on the thermal images, the high-temperature hot spots of all partitions are obtained, and the heat dissipation efficiency is obtained by coupling the temperature of the high-temperature hot spots with the ambient temperature. The heat dissipation efficiency represents the magnitude of temperature reduction that the heat dissipation system can reduce per watt of power consumption. The larger the value is, the stronger the heat dissipation ability is. The heat dissipation efficiency is the ratio of the difference between the ambient temperature and the high-temperature hot spot temperature to the corresponding partition power. The partition power is the real-time power consumption of the partition lamp beads working in the LED soft screen, which is usually measured by voltage multiplied by current. In the positive temperature difference scenario where the ambient temperature is greater than the high-temperature hot spot temperature, the higher the heat dissipation efficiency is, the more effectively the heat dissipation system can transfer heat from the high-temperature hot spot to the environment. In the negative temperature difference scenario where the ambient temperature is less than the high-temperature hot spot temperature, the heat dissipation efficiency is negative, indicating that the heat dissipation system is too low or abnormal.

[0087] It should be noted that the high-temperature hot spots of all partitions are the position points with the highest temperature in the corresponding partitions.

[0088] The aging performance and heat dissipation performance are diagnosed according to the brightness decay rate and heat dissipation efficiency of all partitions, and a diagnosis report is generated.

[0089] The aging performance and heat dissipation performance diagnosis method is that the luminance attenuation rates of all the partitions are matched with the set aging performance grading standard to obtain the aging performance levels of all the partitions, and the partitions except the normally aged partitions are marked.

[0090] The heat dissipation efficiencies of all the partitions are compared with the set heat dissipation efficiency threshold, and the partitions with the heat dissipation efficiency lower than the set heat dissipation efficiency threshold are marked.

[0091] In a specific embodiment, the set aging performance grading standard includes a normal aging level, a moderate aging level and a severe aging level. The normal aging is that the luminance attenuation rate is greater than 80%; the moderate aging is that 60%≤luminance attenuation rate≤80%, and monitoring is recommended; and the severe aging is that the luminance attenuation rate is less than 60%, and the lamp bead needs to be replaced.

[0092] The present application can locate the abnormal partitions in real time and generate a diagnosis report by analyzing the aging performance through the luminance attenuation rate and evaluating the heat dissipation system state in combination with the heat dissipation efficiency, solves the traditional after-detection problem, and realizes fault early warning and maintenance decision support.

[0093] Figure 4 is a block diagram of a computer storage medium for implementing some embodiments of the present application. As shown in Figure 4 The storage medium 100 can be in the form of a general computing device. The storage medium 100 includes a memory 110, a processor 120 and a bus 130 connecting different system components.

[0094] The memory 110 may, for example, include a system memory, a non-volatile storage medium, etc. The system memory, for example, stores an operating system, an application program, a BootLoader and other programs, etc. The system memory can include a volatile storage medium, such as a random access memory (RAM) and / or a cache memory. The non-volatile storage medium, for example, stores instructions for implementing at least one of the corresponding embodiments of the LED soft screen. The non-volatile storage medium includes, but is not limited to, a magnetic disk storage, an optical storage, a flash memory, etc.

[0095] The processor 120 can be implemented in the form of a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor, etc. Accordingly, each of the modules such as the display content transmission module, the color display condition analysis module, the color anomaly discrimination module, the partition color correction module and the soft screen performance diagnosis module can be implemented by a central processing unit (CPU) running instructions in the memory for performing corresponding steps, or by a special circuit for performing corresponding steps.

[0096] The bus 130 can use any of a variety of bus structures, including, for example, a

[0097] The storage medium 100 can also include an input / output interface 140, a network interface 150, a storage interface 160, and the like. These interfaces, as well as the memory 110 and the processor 120, can be connected through the bus 130. The input / output interface 140 can provide a connection interface for display, mouse, keyboard, and the like input / output devices. The network interface 150 provides a connection interface for various networking devices. The storage interface 160 provides a connection interface for external storage devices such as floppy disks, U disks, SD cards, and the like.

[0098] Here, various aspects of the present application are described with reference to flowcharts and / or block diagrams of methods, systems, and storage media according to embodiments of the present application. It should be understood that each block of the flowchart and / or block diagram, and combinations of blocks in the flowchart and / or block diagram, can be implemented by computer readable program instructions.

[0099] These computer readable program instructions can be provided to a processor of a general purpose computer, a special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and / or block diagram block or blocks.

[0100] These computer readable program instructions can also be stored in a computer readable storage medium that can cause a computer to operate in a specific manner, thereby generating an article of manufacture including instructions for implementing the functions specified in one or more blocks of the flowchart and / or block diagram.

[0101] The present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment containing both software and hardware aspects.

[0102] The above is merely an example and a description of the concept of the present application, and those skilled in the art can make various modifications or additions to the described specific embodiments or use similar ways to replace, as long as the modifications or additions do not deviate from the concept of the present application or exceed the scope defined by the present application.

Claims

1. An LED flexible screen, characterized in that, include: The display content transmission module is used to receive the content to be displayed from the signal source through the signal interface and transmit it to the control terminal of the LED soft screen for display. The color display analysis module is used to capture the dynamic images of the LED soft screen display, calculate the average brightness, comprehensive color difference and response time delay of each zone based on the CIE color space, and identify and mark the color deviation zones. The color anomaly detection module is used to generate a color compensation mapping table for the color-biased partition based on the flexible characteristics of the soft screen and the environmental characteristics of the color-biased partition, using a pre-trained least squares fitting model. The partition color correction module is used to load the compensation mapping table into the constant current controller of the corresponding partition and synchronously correct the RGB drive current of the color-biased partition in a frame-by-frame scanning manner. The soft screen performance diagnostic module is used to diagnose the aging performance and heat dissipation performance of the LED soft screen after color deviation correction, and to provide a diagnostic report. The color display analysis module includes the following steps: capturing dynamic images of the LED soft screen display using a high-speed camera; dividing the captured dynamic images into several partitions using a grid; extracting the RGB values ​​of each partition and converting them into XYZ tristimulus values ​​to obtain xy chromaticity coordinates and luminance Y values; averaging the luminance Y values ​​of all pixels in each partition to obtain the average luminance; comparing the xy chromaticity coordinates of all pixels in each partition with preset target xy values, analyzing chromaticity difference, luminance difference, and hue angle difference, and calculating the comprehensive color difference value according to the CIE2000 standard formula; and comparing the timestamp of the received signal source with the actual display timestamp to obtain the response time delay through the difference between the two. The steps for calculating the comprehensive color difference value are as follows: S1. Extract the xy chromaticity coordinates of all pixels in each partition and determine the preset target xy value at the corresponding position; S2. Convert the xy chromaticity coordinates into lightness, chromaticity, and hue angle, and subtract them from the lightness, chromaticity, and hue angle converted from the preset target xy value to obtain the chromaticity difference value, lightness difference value, and hue angle difference value; S3. Convert the xy chromaticity coordinates into lightness, chromaticity, and hue angle, and substitute them into the lightness compensation function, chromaticity compensation function, and hue compensation function to obtain the lightness weight, chromaticity weight, and hue weight; S4. Calculate the comprehensive color difference value according to the CIE2000 standard formula, and average the comprehensive color difference values ​​of all pixels to obtain the comprehensive color difference value of each partition; The color anomaly detection module specifically includes the following: extracting the flexible features and environmental features of the color deviation zone, including the multi-axis folding angle, the minimum spacing of the LED beads, and the folding angle of the LED beads; and the environmental features including visibility and ambient illuminance. The flexible features and environmental features are normalized and combined with the chromaticity difference, brightness difference, and hue angle difference to construct a feature matrix. A least-squares fitting model is constructed using the feature matrix as input and the color compensation coefficient matrix as output. The feature matrix of each color-biased region is then substituted into the constructed least-squares fitting model to obtain the color compensation coefficient matrix of each color-biased region, thereby generating a color compensation mapping table for the color-biased regions.

2. The LED flexible screen according to claim 1, characterized in that: The color deviation partition recognition method is as follows: Based on the difference analysis of the average brightness of each partition and the reference white brightness, the brightness difference is obtained. The brightness difference, comprehensive color difference value and response time delay of each partition are compared with the set brightness difference threshold, color difference threshold and delay threshold, respectively. If any of the brightness difference, comprehensive color difference value or response time delay of a partition exceeds the corresponding threshold, then the partition is a color deviation partition and is marked.

3. The LED flexible screen according to claim 2, characterized in that: The pre-training steps for the least squares fitting model are as follows: Step 1: Retrieve historical color deviation records from the control terminal of the LED flexible screen, filter the flexible features, environmental features and color difference values ​​of the flexible screen in multiple color deviation zones, and construct a reference feature matrix after normalization. Step 2: Extract the color compensation coefficients for multiple color offset zones during color correction, including the brightness, chromaticity, and hue compensation coefficients of the RGB channels, to form a reference color compensation coefficient matrix. Step 3: Solve the weight matrix using the least squares method from the reference feature matrix and the reference color compensation coefficient matrix. Based on the solved weight matrix, construct a least squares fitting model with the feature matrix as input and the color compensation coefficient matrix as output.

4. The LED flexible screen according to claim 3, characterized in that: The process of solving the weight matrix is ​​as follows: By establishing a linear relationship between the reference feature matrix and the reference color compensation coefficient matrix, a linear equation for the relationship between the reference feature matrix and the reference color compensation coefficient matrix is ​​obtained. In the formula For reference color compensation coefficient matrix, This is the weight matrix. For reference feature matrix; The weight matrix is ​​solved using the least squares method. In the formula As a reference eigenvalue transpose matrix, This refers to inverse matrix operations.

5. The LED flexible screen according to claim 3, characterized in that: The RGB drive current correction method for the color offset partition is as follows: The original RGB drive current of the color offset partition is set, and the luminance, chroma, and hue compensation coefficients of the RGB channels are retrieved from the compensation mapping table. These coefficients are then coupled with the corresponding luminance weight, chroma weight, and hue weight, respectively. The coupling result is multiplied by the original RGB drive current of the color offset partition to obtain the corrected RGB drive current of the color offset partition. The corrected RGB drive current of the color offset partition is then loaded into the constant current controller according to the corresponding partition through a distributed drive circuit. The RGB drive current is updated by scanning frame by frame.

6. The LED flexible screen according to claim 1, characterized in that: The specific contents of the soft screen performance diagnosis module include: After color correction of color deviation zones, the dynamic images and thermal images of the LED soft screen are acquired in real time. The brightness values ​​of all zones are obtained based on the dynamic images. According to the set brightness value of the dynamic images corresponding to the content to be displayed, the brightness values ​​of all zones are compared with the set brightness values ​​to obtain the brightness attenuation rate. The high-temperature hotspots in all zones are obtained based on thermal imaging, and the heat dissipation efficiency is obtained by coupling the temperature of the high-temperature hotspots with the ambient temperature. Diagnose aging performance and heat dissipation performance based on the brightness decay rate and heat dissipation efficiency of all zones, and generate a diagnostic report.

7. The LED flexible screen according to claim 1, characterized in that: The methods for diagnosing aging performance and heat dissipation performance are as follows: Match the brightness decay rate of all partitions with the set aging performance grading standard to obtain the aging performance level of all partitions, and mark the partitions except the normal aging level. The heat dissipation efficiency of all partitions is compared with the set heat dissipation efficiency threshold, and partitions with heat dissipation efficiency lower than the set heat dissipation efficiency threshold are marked.

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