LED soft screen

Abstract

The invention belongs to the field of display screen performance diagnosis and analysis, and relates to an LED soft screen. According to the invention, through real-time interaction between the display content transmission module and the signal interface, accurate transmission of the to-be-displayed content is realized; a dynamic picture is captured through a high-speed camera device, multi-dimensional color analysis (a brightness mean value, a comprehensive color difference value and response time delay amount) is carried out, and intelligent recognition and marking of color cast partitions are achieved; a color compensation mapping table is generated by substituting flexible features (a multi-axis folding angle, a lamp bead minimum spacing and a lamp bead folding angle) of an LED soft screen and environmental features (environmental illumination and visibility) into a constructed least square fitting model, and RGB driving current is corrected by combining frame-by-frame scanning, so that accurate color correction in a dynamic environment is realized; through brightness decay rate and heat dissipation efficiency analysis, partition diagnosis of aging performance and heat dissipation performance is realized.

Description

Technical Field

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

[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, lightness, and bendability. However, their dynamic display is easily affected by ambient light, physical deformation (such as folding) and lamp aging, resulting in color distortion, uneven brightness and response delay. Existing technologies focus on optimizing a single link, making it difficult to achieve full-link color consistency control, and lack real-time diagnosis of aging and heat dissipation, which restricts their application in high-reliability scenarios.

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

[0004] For example, Chinese patent publication number CN115083303B discloses a method, medium and device for spatial color correction of LED display screens under a moving viewing angle. For LED display screens with complex color cast, the present invention calculates the color correction LUT by partitioning to obtain a more accurate correction effect. Therefore, the present invention has a good color correction effect on the color cast problem of ground LED display screens.

[0005] However, the existing technology has the following problems: 1. Color cast correction problem: Existing color cast correction methods are mostly based on fixed parameters or simple threshold judgments, 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 over-compensation or under-compensation.

[0006] 2. Color shift zoning identification problem: Existing methods mostly rely on brightness or a single color parameter (such as RGB value) for judgment, which cannot fully reflect the comprehensive dynamic influence of the multi-dimensional characteristics of color shift (such as color difference value, lamp bead response delay), resulting in insufficient recognition accuracy of color shift types. Summary of the invention

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

[0008] The present invention provides an LED soft screen including a display content transmission module, a color display situation 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: the display content transmission module is connected to the color display situation analysis module, the color display situation analysis module is connected to the color abnormality discrimination module, the partition color correction module is connected to the color abnormality discrimination module, and the soft screen performance diagnosis module is connected to the partition color correction module.

[0009] 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.

[0010] The color display analysis module is used to capture the dynamic images displayed by the LED soft screen, calculate the average brightness, comprehensive color difference value and response time delay of each partition based on the CIE color space, and identify and mark the color deviation partitions.

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

[0012] 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 driving current of the color-shifted partition in a frame-by-frame scanning manner.

[0013] The soft screen performance diagnosis module is used to diagnose the aging performance and heat dissipation performance of the LED soft screen partition after the color correction of the color deviation partition, and provide feedback of the diagnosis report.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention calculates the brightness mean, comprehensive color difference value and response time delay of each partition through the CIE color space, identifies and marks the color-shifted partition, thereby improving the recognition accuracy of the color-shifted partition and providing a more accurate basis for subsequent color correction.

[0015] (2) The present invention generates a color compensation mapping table for color deviation partitioning by combining the flexible characteristics of the LED soft screen, such as the multi-axis folding angle, the minimum spacing between lamp beads, the folding angle of lamp beads, and environmental parameters such as ambient illumination and visibility, and adopts a multi-dimensional dynamic compensation mechanism to solve the problems of flexible screen morphology changes and adaptability to complex environments, significantly improve the color deviation correction accuracy, and meet the color consistency requirements of the soft screen.

[0016] (3) The present invention introduces historical color deviation records to train a least squares fitting model and establishes a dynamic mapping relationship between the feature matrix and the color compensation coefficient, so that the compensation strategy is automatically optimized with the flexibility of the soft screen and the environmental changes, thereby enhancing the adaptability in multiple usage scenarios.

[0017] (4) The present invention analyzes aging performance through brightness attenuation rate and evaluates the status of the cooling system in combination with heat dissipation efficiency. It can locate abnormal partitions in real time and generate diagnostic reports, thus solving the problem of traditional post-detection and achieving fault warning and maintenance decision support. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

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

[0020] Figure 2 The present invention is a flowchart of the steps for calculating the comprehensive color difference value in the color display situation analysis module.

[0021] Figure 3 The figure is a flow chart of the pre-training steps of the least squares fitting model in the color anomaly discrimination module of the present invention.

[0022] Figure 4 A block diagram of a storage medium for implementing the present invention. DETAILED DESCRIPTION

[0023] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of the components and steps, the numerical expressions and the numerical values ​​described in these embodiments do not limit the scope of the present invention. At the same time, it should be understood that for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship.

[0024] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention and its application or use. Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and devices should be considered part of the specification.

[0025] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0026] The present invention proposes an LED soft screen, which realizes accurate transmission of the content to be displayed through real-time interaction between the display content transmission module and the signal interface; captures dynamic images through a high-speed camera device and performs multi-dimensional color analysis (brightness mean, comprehensive color difference value, response time delay) to realize intelligent identification and marking of color deviation partitions; substitutes the flexible characteristics of the LED soft screen (multi-axis folding angle, minimum spacing of lamp beads, folding angle of lamp beads) and environmental characteristics (ambient illumination, visibility) into the constructed least squares fitting model to generate a color compensation mapping table, and combines frame-by-frame scanning to correct the RGB driving current to realize accurate color correction in a dynamic environment; and realizes partition diagnosis of aging performance and heat dissipation performance through brightness attenuation rate and heat dissipation efficiency analysis. This solution not only breaks through the bottleneck of color deviation correction of existing LED soft screens under flexible deformation and ambient light interference, but also provides a systematic solution for the long-term reliability evaluation of soft screen display devices.

[0027] like Figure 1 As shown, an LED soft screen includes a display content transmission module, a color display situation 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: the display content transmission module is connected to the color display situation analysis module, the color display situation analysis module is connected to the color abnormality discrimination module, the partition color correction module is connected to the color abnormality discrimination module, and the soft screen performance diagnosis module is connected to the partition color correction module.

[0028] 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.

[0029] The color display analysis module is used to capture the dynamic images displayed by the LED soft screen, calculate the average brightness, comprehensive color difference value and response time delay of each partition based on the CIE color space, and identify and mark the color deviation partitions.

[0030] The color deviation partition identification method is as follows: based on the brightness mean of each partition and the reference white brightness, a difference analysis is performed to obtain the brightness difference, and the brightness difference, the comprehensive color difference value and the response time delay of each partition are compared with the manually 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, the partition is a color deviation partition and is marked.

[0031] The present invention calculates the brightness mean, comprehensive color difference value and response time delay of each partition through the CIE chromaticity space, identifies and marks the color-shifted partition, thereby improving the recognition accuracy of the color-shifted partition and providing a more accurate basis for subsequent color correction.

[0032] The brightness difference is the absolute value of the result obtained by subtracting the reference white brightness from the brightness mean, and the ratio is calculated with the reference white brightness. , color difference threshold (CIE2000 standard), delay threshold .

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

[0034] The RGB value of each partition is extracted and converted into XYZ tristimulus values, thereby obtaining the xy chromaticity coordinates and the brightness Y value.

[0035] Furthermore, the xy chromaticity coordinates and the brightness Y value are obtained by applying the transformation matrix to the RGB values ​​(R, G, B) of all pixels in each partition and calculating the XYZ values: [ X Y Z ] = M 3 × 3 × [ R G B ] ,in Represents a customized conversion matrix based on the LED spectral characteristics.

[0036] The xy chromaticity coordinates (x, y) are derived from the XYZ values, where , .

[0037] The brightness Y values ​​of all pixels in each partition are averaged to obtain the mean brightness.

[0038] Compare the xy chromaticity coordinates of all pixels in each partition with the preset target xy values, analyze the chromaticity difference, brightness difference and hue angle difference, and calculate the comprehensive color difference value according to the CIE2000 standard formula.

[0039] like Figure 2 As shown, the steps for calculating the comprehensive color difference value are as follows: S1, extracting the xy chromaticity coordinates of all pixels in each partition, and determining the preset target xy value of the corresponding position.

[0040] 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 values ​​to obtain chromaticity difference, lightness difference and hue angle difference.

[0041] S3. Convert the xy chromaticity coordinates into lightness, chromaticity and hue angles, and substitute them into the lightness compensation function, chromaticity compensation function and hue compensation function to obtain lightness weight, chromaticity weight and hue weight.

[0042] 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.

[0043] Brightness refers to the brightness of a color. It is a quantitative indicator of the visual perception of the "brightness" of a color, reflecting the luminous intensity or reflectivity of the color under light. It can distinguish the light and dark levels of a color. For example, red can be divided into dark red (low brightness) and light red (high brightness). In the 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 attributes, including hue and saturation, which are used to describe the "category" and "brightness" of color. Hue: refers to the specific category of color, such as red, green, and blue, which is the fundamental characteristic to distinguish different colors. Saturation: refers to the brightness of the color. The higher the saturation, the richer the color (such as pure red); the lower the saturation, the closer the color is to gray (such as gray-red). In the polar coordinate color space, saturation is calculated by the degree of deviation of the color from gray; in the CIE color space, chroma is calculated by the degree of deviation of the color from gray. ,in and is substituted by the XYZ value Standard derivation formula and Derived from the standard derivation formula.

[0045] Hue angle is a parameter that represents hue in the polar coordinate color model in terms of angle. Different angles correspond to different colors, forming a color wheel cycle (usually 0 to 360 degrees). It can accurately locate color categories, such as 0 corresponds to red, 120 corresponds to green, and 240 corresponds to blue. In the CIE color space, hue angle The hue angle can be used to intuitively quantify the "bias" of color, assisting in color difference analysis and correction.

[0046] The brightness compensation function is a mathematical model used to correct color brightness deviation. By adjusting the luminous intensity of the pixel, the actual displayed brightness is close to the target value. Substituting into the chromaticity compensation function, we get the weight of the influence of brightness on color difference.

[0047] The chromaticity compensation function is used to correct the hue and saturation deviation of the color to ensure that the color purity and category meet the functional model required by the design. Substituting into the chromaticity compensation function, we get: , which reflects the sensitivity of chromaticity change to color difference.

[0048] The hue compensation function is used to compensate for color category deviations (such as red leaning towards orange) and achieves precise hue correction by adjusting the hue angle. and hue angle Substitute into the tone compensation function to get.

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

[0050] It should be noted that the standard brightness calculation formula, Standard derivation formula and The standard derivation formula, brightness compensation function, chromaticity compensation function, hue compensation function and CIE2000 standard formula are all existing technologies of CIE color space and will not be described in detail here.

[0051] Compare the timestamp of the received signal source and the timestamp of the actual display, and obtain the response time delay through the difference between the two. Embed a timestamp generator in the display content transmission module, send trigger pulses to the control terminal and the high-speed camera synchronously, record the capture timestamp of the high-speed camera, use it as the timestamp of the received signal source, and record the timestamp when the brightness of the partition reaches 90% of the target value, which is used as the timestamp of the actual display.

[0052] The color anomaly discrimination module is used to generate a color compensation mapping table for the color deviation partition according to the soft screen flexibility characteristics and 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 features and environmental features of the color deviation partition, the soft screen flexibility features include multi-axis folding angle, the minimum spacing of lamp beads, and the folding angle of lamp beads, and the environmental features include visibility and ambient illumination.

[0054] The soft screen flexibility features and environmental features are normalized, and a feature matrix is ​​constructed by combining chromaticity difference, brightness difference and hue angle difference.

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

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

[0057] The present invention generates a color compensation mapping table for color deviation partitions based on the flexible characteristics of the LED soft screen, such as the multi-axis folding angle, the minimum spacing between lamp beads, the folding angle of lamp beads, and environmental parameters such as ambient illumination and visibility. It adopts a multi-dimensional dynamic compensation mechanism to solve the problems of flexible screen morphology changes and adaptability to complex environments, significantly improve the color deviation correction accuracy, and meet 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. By embedding a micro high-precision angle sensor (such as a gyroscope or tilt sensor) at the key node (such as the hinge) of the folding axis of the LED soft screen, the folding angle of the XYZ axis when the LED soft screen is folded can be sensed in real time. The normalization method for the multi-axis folding angle is: , where is the normalized multi-axis folding angle, are the folding angles of the XYZ axes, It is the maximum angle of the LED soft screen when folded in multiple axes.

[0059] The minimum spacing between lamp beads is the minimum spacing between adjacent lamp bead surfaces when the LED soft screen is folded. The micro laser displacement sensor is used to scan the lamp bead array of the LED soft screen color deviation partition, and the shortest distance between adjacent lamp bead edges is measured. The shortest distance between all adjacent lamp bead edges in the color deviation partition is selected as the minimum spacing between lamp beads. For tiny spacing, optical magnification equipment can be used to assist in measurement. The normalization method for the minimum spacing between lamp beads is as follows: , where is the normalized minimum spacing of the lamp beads, is the minimum spacing between lamp beads. It is the average value of the surface spacing between all adjacent lamp beads in the color deviation zone.

[0060] The lamp bead folding angle is the tilt angle of the lamp bead when the LED soft screen is folded. The tilt sensor integrated on each lamp bead package substrate monitors the tilt state of the LED soft screen color deviation partition lamp bead array in real time. When the lamp bead is folded with the soft screen, the sensor captures the angle change caused by the folding deformation in real time and records the lamp bead folding angle. The normalization method for the lamp bead folding angle is to maximize the folding angle of all lamp beads in the LED soft screen color deviation partition. , mean and standard deviation Calculation, using the Z-score standardized formula Get the normalized lamp bead folding angle .

[0061] Visibility refers to the environmental visibility around the LED soft screen installation. The particle concentration is measured by the particle concentration sensor to infer the environmental visibility. The visibility is normalized as follows: , where is the normalized visibility.

[0062] Ambient illumination refers to the ambient illumination of the LED soft screen. Through the light intensity sensor (such as photoresistor or silicon photocell illuminance meter), the radiation flux of the ambient light is sensed, the light signal is converted into an electrical signal, and the ambient illumination value is output after calibration and calculation, so as to realize the quantitative monitoring of the light intensity. The ambient illumination is normalized to compare the ambient illumination with the set ambient illumination, where the set ambient illumination can be 100000 lux.

[0063] like Figure 3 As shown, the pre-training steps of the least square fitting model are as follows: Step 1, 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. The color difference value includes chromaticity difference, brightness difference and hue angle difference.

[0064] Step 2: extract color compensation coefficients of multiple color-shift partitions during color correction, including brightness, chromaticity, and hue compensation coefficients of RGB channels, to form a reference color compensation coefficient matrix.

[0065] Step 3: Use the least square method to solve the weight matrix of the reference feature matrix and the reference color compensation coefficient matrix, and construct a least square fitting model with the feature matrix as input and the color compensation coefficient matrix as output based on the solved weight matrix.

[0066] The present invention introduces historical color deviation records to train a least squares fitting model, establishes a dynamic mapping relationship between the feature matrix and the color compensation coefficient, and automatically optimizes the compensation strategy as the soft screen flexibility changes and the environment changes, thereby enhancing the adaptability in multiple usage scenarios.

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

[0068] The weight matrix is ​​solved using the least squares method. , where is the reference feature transposed matrix, is the inverse matrix operation.

[0069] In a specific embodiment, historical color deviation records are retrieved from the control terminal of the LED soft screen, 1000 color deviation partition events are screened, and the soft screen flexibility features (multi-axis folding angle, minimum lamp bead spacing and lamp bead folding angle), environmental features (visibility and ambient illumination) and color difference values ​​(chromaticity difference, brightness difference and hue angle difference) of the 1000 color deviation partition events are extracted, and normalized processing is performed to construct a reference feature matrix (Dimensions are ); At the same time, the reference color compensation coefficient matrix is ​​determined according to the brightness, chromaticity, and hue compensation coefficients of the RGB channels during color correction for 1000 color deviation partition events (Dimensions are ).

[0070] For the reference feature matrix Perform a transpose operation to obtain the reference feature transposed matrix (Dimensions are ), perform matrix multiplication, and calculate and The product of (Dimensions are ), followed by Inverse it and get the inverse matrix (Dimensions are ).

[0071] Transpose the reference feature matrix With the reference color compensation coefficient matrix Multiply them together to get the matrix (Dimensions are ),Will and Substitute into the formula , and get the weight matrix (Dimensions are ).

[0072] Construct a least squares fitting model with feature matrix as input and color compensation coefficient matrix as output .

[0073] 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 driving current of the color-shifted partition in a frame-by-frame scanning manner.

[0074] The RGB driving current correction method of the color deviation partition is as follows: the original RGB driving current of the color deviation partition is set, the brightness, chromaticity, and hue compensation coefficients of the RGB channel are retrieved from the compensation mapping table, and the compensation coefficients are respectively coupled with the corresponding brightness weight, chromaticity weight, and hue weight, and the coupling result is multiplied with the original RGB driving current of the color deviation partition to obtain the corrected RGB driving current of the color deviation partition, and the corrected RGB driving current of the color deviation partition is loaded into the constant current controller according to the corresponding partition through the distributed driving circuit, and the RGB driving current is updated by scanning frame by frame.

[0075] Furthermore, the RGB driving current analysis method of the corrected color deviation partition is: , They are the RGB driving currents of the corrected color deviation partitions, The original RGB driving currents for setting the color deviation partitions are respectively determined by the preset values ​​of the constant current controller. They are the brightness compensation coefficient, chromaticity compensation coefficient, and hue compensation coefficient of the RGB channels respectively. is the hue angle, They represent the hue angle difference respectively. To compensate for brightness, it acts equally on the three RGB channels to increase the overall luminous intensity; To compensate for chromaticity, adjust the ratio of red and green channels through polar coordinate decomposition (cos / sin) and correct saturation; To compensate for the hue, reverse compensation is performed on the blue channel to correct the hue angle deviation.

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

[0077] Table 1. RGB drive current test data list for multiple color shift partitions

[0078]

[0079] As can be seen from the table, brightness compensation dominates the scene, such as color shift partition 3: when the brightness compensation coefficient When it is larger (such as 0.2), the current of the RGB three channels is significantly improved, and the overall brightness average is increased, which is suitable for low-brightness color deviation.

[0080] Chroma compensation dominant scene, such as color shift partition 1: When the chroma compensation coefficient The ratio of red and green channels is adjusted through polar coordinate decomposition (cos / sin) to correct saturation deviation (such as increasing the red channel current when red is grayish).

[0081] Tone compensation sensitive scenes, such as color shift partition 2: blue channel current is affected Reverse correction, when the hue angle deviates At larger values ​​(e.g. 10°), the blue light output needs to be significantly reduced to correct the hue shift.

[0082] Ambient light interference suppression, such as color shift zone 4: Under high ambient illumination (>100000 lux), the compensation coefficient needs to be superimposed with the ambient light offset item (such as reducing the brightness weight ), to avoid distortion caused by over-compensation.

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

[0084] The soft screen performance diagnosis module is used to diagnose the aging performance and heat dissipation performance of the LED soft screen partition after the color correction of the color deviation partition, and provide feedback of the diagnosis report.

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

[0086] Based on thermal imaging, the high-temperature hot spots of all partitions are obtained, and the temperature of the high-temperature hot spots is coupled with the ambient temperature to obtain the heat dissipation efficiency. The heat dissipation efficiency indicates the extent to which the heat dissipation system can reduce the temperature for every 1 watt of power consumed. The larger the value, the stronger the heat dissipation capacity. 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 in the LED soft screen, which is usually measured by multiplying the voltage by the 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, the more effective it is for the heat dissipation system to 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 a negative value, indicating that the heat dissipation system efficiency is too low or abnormal.

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

[0088] Diagnose aging performance and heat dissipation performance based on the brightness decay rate and heat dissipation efficiency of all partitions, and generate a diagnostic report.

[0089] The aging performance and heat dissipation performance diagnosis method is: matching the brightness decay rate of all partitions with the set aging performance grading standard to obtain the aging performance level of all partitions, and marking the partitions except the normal aging level.

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

[0091] In a specific embodiment, the set aging performance classification standard includes normal aging level, moderate aging level and severe aging level. Normal aging: brightness decay rate>80%; moderate aging: 60%≤brightness decay rate≤80%, monitoring is recommended; severe aging: brightness decay rate<60%, lamp beads need to be replaced.

[0092] The present invention analyzes aging performance through brightness decay rate and evaluates the status of the cooling system in combination with heat dissipation efficiency. It can locate abnormal partitions in real time and generate diagnostic reports, solve traditional post-detection problems, and achieve fault warning and maintenance decision support.

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

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

[0095] The processor 120 may be implemented by 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 devices, discrete gates or transistors, and other discrete hardware components. Accordingly, each module such as the display content transmission module, the color display situation analysis module, the color abnormality identification module, the partition color correction module, and the soft screen performance diagnosis module may be implemented by a central processing unit (CPU) running instructions in a memory that execute corresponding steps, or may be implemented by a dedicated circuit that executes corresponding steps.

[0096] The bus 130 may use any of a variety of bus architectures, including, but not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, and a Peripheral Component Interconnect (PCI) bus.

[0097] The storage medium 100 may also include an input / output interface 140, a network interface 150, a storage interface 160, etc. These interfaces and the memory 110 and the processor 120 may be connected via a bus 130. The input / output interface 140 may provide a connection interface for input / output devices such as a display, a mouse, and a keyboard. The network interface 150 may provide a connection interface for various networked devices. The storage interface 160 may provide a connection interface for external storage devices such as a floppy disk, a USB flash drive, and an SD card.

[0098] Here, various aspects of the present invention are described with reference to the flowchart and / or block diagram of the method, system and storage medium according to the embodiment of the present invention. It should be understood that each frame of the flowchart and / or block diagram and the combination of each frame can be implemented by computer-readable program instructions.

[0099] These computer-readable program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable device to produce a machine, so that the processor executes the instructions to produce a device that implements the functions specified in one or more blocks in the flowchart and / or block diagram.

[0100] These computer-readable program instructions may also be stored in a computer-readable memory, which cause the computer to work in a specific manner to produce an article of manufacture, including instructions for implementing the functions specified in one or more blocks in the flowchart and / or block diagram.

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

[0102] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A LED soft screen, characterized in that: include: A 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 displayed by the LED soft screen, calculate the brightness mean, comprehensive color difference value and response time delay of each partition based on the CIE color space, and identify and mark the color deviation partition; A color anomaly discrimination module is used to generate a color compensation mapping table for the color deviation partition through a pre-trained least squares fitting model according to the soft screen flexibility characteristics and environmental characteristics of the color deviation partition; A partition color correction module is used to load the compensation mapping table to the constant current controller of the corresponding partition, and synchronously correct the RGB driving current of the color deviation partition in a frame-by-frame scanning manner; The soft screen performance diagnosis module is used to diagnose the aging performance and heat dissipation performance of the LED soft screen partition after the color correction of the color deviation partition, and provide feedback of the diagnosis report.

2. The LED soft screen according to claim 1, characterized in that: The color display situation analysis module includes the following contents: The dynamic images displayed on the LED soft screen are captured by a high-speed camera device, and the captured dynamic images are divided into several partitions by grid; Extract the RGB value of each partition and convert it into XYZ tristimulus value, and then obtain the xy chromaticity coordinate and brightness Y value; The brightness Y values ​​of all pixels in each partition are averaged to obtain the brightness mean; Compare the xy chromaticity coordinates of all pixels in each partition with the preset target xy values, analyze the chromaticity difference, lightness difference and hue angle difference, and calculate the comprehensive color difference value according to the CIE2000 standard formula; Compare the timestamp of the received signal source with the timestamp actually displayed, and use the difference between the two to get the response time delay.

3. The LED soft screen according to claim 2, characterized in that: The steps for calculating the comprehensive color difference value are as follows: S1, extracting the xy chromaticity coordinates of all pixels in each partition and determining the preset target xy values ​​of the corresponding positions; S2, converting the xy chromaticity coordinates into lightness, chromaticity and hue angle, and subtracting them from the lightness, chromaticity and hue angle converted from the preset target xy values ​​to obtain chromaticity difference, lightness difference and hue angle difference; S3, converting the xy chromaticity coordinates into lightness, chromaticity and hue angles and substituting them into the lightness compensation function, chromaticity compensation function and hue compensation function to obtain 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.

4. The LED soft screen according to claim 1, characterized in that: The color shift partition identification method is: Based on the difference analysis of the brightness mean 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, the partition is a color deviation partition and is marked.

5. The LED soft screen according to claim 3, characterized in that: The color anomaly discrimination module specifically includes the following contents: Extract the soft screen flexibility features and environmental features of the color shift partition. The soft screen flexibility features include multi-axis folding angle, minimum spacing of lamp beads, and folding angle of lamp beads. The environmental features include visibility and ambient illumination. Normalize the soft screen flexibility features and environmental features, and construct a feature matrix by combining chromaticity difference, brightness difference and hue angle difference; A least squares fitting model is constructed by taking the feature matrix as input and the color compensation coefficient matrix as output; The characteristic matrix of each color-shifted partition is substituted into the constructed least squares fitting model to obtain the color compensation coefficient matrix of each color-shifted partition, and a color compensation mapping table of the color-shifted partition is generated.

6. The LED soft screen according to claim 5, characterized in that: The pre-training steps of the least squares fitting model are: Step 1: retrieve the historical color deviation records 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; Step 2: extracting color compensation coefficients of multiple color-shift partitions during color correction, including brightness, chromaticity, and hue compensation coefficients of RGB channels, to form a reference color compensation coefficient matrix; Step 3: Use the least square method to solve the weight matrix of the reference feature matrix and the reference color compensation coefficient matrix, and construct a least square fitting model with the feature matrix as input and the color compensation coefficient matrix as output based on the solved weight matrix.

7. The LED soft screen according to claim 6, characterized in that: The weight matrix solution 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: , where is the reference color compensation coefficient matrix, is the weight matrix, is the reference feature matrix; The weight matrix is ​​solved using the least squares method. , where is the reference feature transposed matrix, It is the inverse matrix operation.

8. The LED soft screen according to claim 6, characterized in that: The RGB driving current correction method of the color deviation partition is: The original RGB driving current of the color deviation partition is set, and the brightness, chromaticity, and hue compensation coefficients of the RGB channels are retrieved from the compensation mapping table, and they are coupled with the corresponding brightness weight, chromaticity weight, and hue weight respectively. The coupling result is multiplied with the original RGB driving current of the color deviation partition to obtain the corrected RGB driving current of the color deviation partition. The corrected RGB driving current of the color deviation partition is loaded into the constant current controller according to the corresponding partition through the distributed driving circuit, and the RGB driving current is updated by frame-by-frame scanning.

9. The LED soft screen according to claim 2, characterized in that: The specific contents of the soft screen performance diagnosis module include: After color correction of color deviation partition, the dynamic picture and thermal imaging of LED soft screen are collected in real time, the brightness values ​​of all partitions are obtained based on the dynamic picture, and the brightness attenuation analysis is performed on the brightness values ​​of all partitions and the set brightness values ​​according to the set brightness values ​​of the dynamic picture corresponding to the content to be displayed, and the brightness attenuation rate is obtained; Based on thermal imaging, the high-temperature hot spots of all partitions are obtained, and the temperature of the high-temperature hot spots is coupled with the ambient temperature to obtain the heat dissipation efficiency; Diagnose aging performance and heat dissipation performance based on the brightness decay rate and heat dissipation efficiency of all partitions, and generate a diagnostic report.

10. The LED soft screen according to claim 2, characterized in that: The aging performance and heat dissipation performance diagnosis method is as follows: Match the brightness decay rates of all partitions with the set aging performance grading standards to obtain the aging performance levels of all partitions, and mark the partitions except those with normal aging levels; The heat dissipation efficiency of all partitions is compared with the set heat dissipation efficiency threshold, and the partitions whose heat dissipation efficiency is lower than the set heat dissipation efficiency threshold are marked.

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