A method and system for monitoring and warning of out-of-control points of LED display modules

Abstract

The present invention is applicable to the field of LED display module quality monitoring, and provides a method and system for monitoring and early warning of out-of-control points of LED display modules, the method comprising: regularly importing several standard color test images and generating a primary mirror image consistent with the real-time output screen of the display module; acquiring and identifying the primary mirror image, extracting several target pixel points, and calculating the deviation values ​​of the several target pixel points; evaluating the real-time color uniformity of the display module and marking the predicted out-of-control point area; regularly accessing external signal sources of different formats and generating a secondary mirror image consistent with the real-time output screen of the display module; acquiring and identifying the secondary mirror image, identifying abnormal information of the predicted out-of-control point area, and determining the abnormal out-of-control point position; continuously acquiring the deterioration trend of the abnormal out-of-control point position, generating and sending targeted early warning information, and efficiently completing the out-of-control point monitoring without interfering with the normal operation of the display module, locking the possible out-of-control area in advance, and avoiding the expansion of the problem.

Description

Technical Field

[0001] The invention belongs to the field of LED display module quality monitoring, and in particular relates to a method and system for monitoring and early warning of out-of-control points of LED display modules. Background Art

[0002] With the widespread application of LED display technology, LED display modules play an important role in various scenarios, such as outdoor advertising screens, indoor information display screens, stage background displays, etc. However, in the long-term use of LED display modules, out-of-control point problems frequently occur, seriously affecting the display effect and the accuracy of information transmission.

[0003] On the one hand, LED lamp beads themselves have a certain probability of failure. Due to temperature changes in the working environment, fluctuations in current and voltage, and long-term continuous lighting, the semiconductor materials of the lamp beads may age and be damaged, causing them to fail to emit light normally or emit light of abnormal colors, forming a loss of control point. On the other hand, drive circuit failure is also a common cause of loss of control points. Overheating and short circuit of the driver chip, poor contact or open circuit of the line, etc., may cause the LED lamp beads to fail to obtain the correct drive signal, resulting in display abnormalities.

[0004] Existing monitoring methods have many shortcomings. Some existing automated monitoring technologies affect normal screen display and can only detect obvious brightness anomalies. They lack effective recognition capabilities for some early signs of out-of-control, such as slight color deviations and flickering. Therefore, there is an urgent need for a method that can efficiently and accurately monitor the out-of-control points of LED display modules to ensure the stable and reliable operation of LED display modules. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for monitoring and early warning of out-of-control points of LED display modules, aiming to solve the problems raised in the above-mentioned background technology.

[0006] The present invention is implemented in this way. On the one hand, a method for monitoring and early warning of out-of-control points of LED display modules is provided, and the method comprises:

[0007] Importing several standard color test images at regular intervals and generating a primary mirror image consistent with the real-time output image of the display module, wherein the primary mirror image includes several pure color images in the standard color test images;

[0008] Collect and identify the primary mirror image, extract a number of target pixel points, and calculate the deviation values ​​of a number of target pixel points;

[0009] Based on the calculation results of several targeted pixel deviation values, the real-time color uniformity of the display module is evaluated and the predicted out-of-control point area is marked;

[0010] Regularly access external signal sources of different formats and generate a secondary mirror image that is consistent with the real-time output screen of the display module, wherein the secondary mirror image includes a marked predicted out-of-control point area;

[0011] Collect and identify secondary mirror images, identify abnormal information in the predicted out-of-control point area, and determine the abnormal out-of-control point location;

[0012] Continuously obtain the deterioration trend of abnormal and out-of-control points, generate and send targeted early warning information.

[0013] As a further solution of the present invention, the collecting and identifying the primary mirror image, extracting a plurality of target pixel points, and calculating the deviation values ​​of the plurality of target pixel points specifically include:

[0014] According to a preset frame rate, the first-level mirror image is captured several times to generate a first-level mirror image set;

[0015] Establish pixel coordinate mapping;

[0016] Obtain a first-level mirror image set, select a target pixel point every 100 pixels, and generate a target pixel point list;

[0017] Get the actual color values ​​of the targeted pixel list one by one;

[0018] The difference between the actual color values ​​of several target pixels and the preset standard color values ​​in each color channel is calculated and stored to generate a comprehensive color difference.

[0019] As a further solution of the present invention, the method of evaluating the real-time color uniformity of the display module and marking the predicted out-of-control point area based on the calculation results of the deviation values ​​of several target pixels specifically includes:

[0020] Determine whether the comprehensive color difference of each target pixel is greater than the color difference threshold;

[0021] If the comprehensive color difference of the target pixel is greater than the color difference threshold, an abnormal pixel is generated;

[0022] Based on pixel coordinate mapping, locate the coordinate information of abnormal pixels;

[0023] Obtain the coordinate information of at least three adjacent abnormal pixels, generate and mark the predicted out-of-control point area.

[0024] As a further solution of the present invention, the collecting and identifying the secondary mirror image, identifying the abnormal information of the predicted out-of-control point area, and determining the abnormal out-of-control point specifically includes:

[0025] Matching the predicted out-of-control point area to the corresponding area of ​​the secondary mirror image;

[0026] Convert the color values ​​of several pixels in the corresponding area to the HSV color space, and generate the hue, saturation, and brightness component values ​​of the predicted points;

[0027] Compare the hue, saturation, and brightness component values ​​of the predicted point with the standard hue, saturation, and brightness component values;

[0028] If at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component value, the predicted point is determined to be an abnormal out-of-control point.

[0029] As a further solution of the present invention, the continuously obtaining the deterioration trend of abnormal out-of-control points and generating and sending targeted warning information specifically includes:

[0030] Preset monitoring period, color deterioration index and spatial diffusion index of abnormal out-of-control points;

[0031] The color deterioration index is specifically the rate of change of the hue, saturation, and brightness component values ​​of the abnormal out-of-control point within the monitoring period;

[0032] The spatial diffusion index is the number of newly added abnormal out-of-control points within a preset pixel radius during the monitoring period;

[0033] Based on the monitoring period, if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold;

[0034] Generate and send the location information of the abnormal out-of-control point.

[0035] As a further solution of the present invention, on the other hand, a LED display module out-of-control point monitoring and early warning system, the system comprises:

[0036] An import module is used to periodically import several standard color test images and generate a primary mirror image that is consistent with the real-time output image of the display module;

[0037] The primary mirror image includes several pure color images in the standard color test image;

[0038] A first acquisition and recognition module, used for acquiring and recognizing a primary mirror image;

[0039] An extraction module, used to extract a number of target pixels;

[0040] A calculation module, used to calculate the deviation values ​​of several target pixel points;

[0041] An evaluation module, used to evaluate the real-time color uniformity of the display module and mark the predicted out-of-control point area based on the calculation results of several target pixel point deviation values;

[0042] The access module is used to periodically access external signal sources of different formats and generate a secondary mirror image that is consistent with the real-time output image of the display module;

[0043] The secondary mirror image includes a marked predicted out-of-control point area;

[0044] A second acquisition and recognition module acquires and recognizes a secondary mirror image;

[0045] The identification and determination module is used to identify abnormal information in the predicted out-of-control point area and determine the abnormal out-of-control point location;

[0046] Acquisition module, used to continuously acquire the deterioration trend of abnormal out-of-control points;

[0047] Generate and send module, used to generate and send targeted early warning information.

[0048] As a further solution of the present invention, the first acquisition and identification module specifically includes:

[0049] A first capturing unit, used to capture the primary mirror image several times according to a preset frame rate;

[0050] A first generating unit, used to generate a first-level mirror image set;

[0051] A coordinate mapping unit, used for establishing pixel coordinate mapping;

[0052] A first acquisition unit, used to acquire a first-level mirror image set;

[0053] A selection unit is used to select a target pixel point every 100 pixels;

[0054] A second generating unit, used to generate a target pixel point list;

[0055] A second acquisition unit is used to acquire the actual color values ​​of the target pixel list one by one;

[0056] The calculation storage unit is used to calculate and store the difference between the actual color values ​​of a number of target pixel points and the preset standard color values ​​in each color channel and generate a comprehensive color difference.

[0057] As a further solution of the present invention, the evaluation module specifically includes:

[0058] A judging unit, used to judge whether the comprehensive color difference of each target pixel is greater than a color difference threshold;

[0059] A third generating unit, used to generate abnormal pixel points;

[0060] A positioning unit, used to locate the coordinate information of abnormal pixel points;

[0061] A third acquisition unit, used to acquire coordinate information of at least three adjacent abnormal pixel points;

[0062] A marking unit is generated to generate and mark the predicted out-of-control point area.

[0063] As a further solution of the present invention, the collecting and identifying the secondary mirror image, identifying the abnormal information of the predicted out-of-control point area, and determining the abnormal out-of-control point specifically includes:

[0064] A matching unit, used for matching the predicted out-of-control point area with the corresponding area of ​​the secondary mirror image;

[0065] A conversion unit, used to convert the color values ​​of a number of pixels in a corresponding area into an HSV color space;

[0066] A fourth generating unit, used to generate hue, saturation, and brightness component values ​​of the predicted point;

[0067] A comparison unit, used to compare the hue, saturation, and brightness component values ​​of the predicted point with the standard hue, saturation, and brightness component values;

[0068] The determination unit is used to determine that the predicted point is an abnormal out-of-control point if at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component values.

[0069] As a further solution of the present invention, the generating and sending module specifically includes:

[0070] A preset unit is used to preset the monitoring period, color deterioration index and spatial diffusion index of abnormal out-of-control points;

[0071] The generating and sending unit generates and sends the location information of the abnormal out-of-control point based on the monitoring period if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold.

[0072] The present invention provides a method and system for monitoring and warning of out-of-control points of LED display modules. The method and system can efficiently complete out-of-control point monitoring without interfering with the normal operation of the display module. Through the acquisition and analysis of mirror images, the color uniformity can be accurately evaluated, and the possible out-of-control area can be locked in advance to avoid the expansion of the problem. Accurate identification and continuous tracking of out-of-control points ensure timely warning before the problem worsens, effectively reduce maintenance costs, improve the reliability and service life of the display module, and provide stable display guarantee for various scenes that rely on LED display. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 The invention is a main flow chart of a method for monitoring and early warning of out-of-control points of an LED display module.

[0074] Figure 2The invention discloses a flow chart for collecting and identifying a primary mirror image, extracting a plurality of target pixel points, and calculating the deviation values ​​of the plurality of target pixel points in a method for monitoring and warning an out-of-control point of an LED display module.

[0075] Figure 3 The invention relates to a flow chart for evaluating the real-time color uniformity of a display module and marking a predicted out-of-control point area based on the calculation results of several target pixel point deviation values ​​in an out-of-control point monitoring and early warning method of an LED display module.

[0076] Figure 4 The invention discloses a flow chart for collecting and identifying abnormal information of a secondary mirror image recognition predicted out-of-control point area in an out-of-control point monitoring and early warning method for an LED display module, and determining the abnormal out-of-control point position.

[0077] Figure 5 The invention discloses a flow chart for continuously acquiring the deterioration trend of abnormal out-of-control points in an out-of-control point monitoring and early warning method of an LED display module, generating and sending targeted early warning information.

[0078] Figure 6 It is a main structural diagram of an LED display module out-of-control point monitoring and early warning system.

[0079] Figure 7 The present invention is a structural block diagram of the first acquisition and identification module in the out-of-control point monitoring and early warning system of the LED display module.

[0080] Figure 8 The present invention is a structural block diagram of an evaluation module in an out-of-control point monitoring and early warning system of an LED display module.

[0081] Fig. 9 The present invention is a structural block diagram of the second acquisition and identification module in the out-of-control point monitoring and early warning system of the LED display module.

[0082] Fig.10 The present invention is a structural block diagram of a generation and transmission module in a LED display module out-of-control point monitoring and early warning system. DETAILED DESCRIPTION

[0083] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0084] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0085] The present invention provides a method and system for monitoring and early warning of out-of-control points of LED display modules, which solve the technical problems in the background technology.

[0086] like Figure 1As shown, it is a main flow chart of a method for monitoring and warning of an out-of-control point of an LED display module provided by an embodiment of the present invention, and the method for monitoring and warning of an out-of-control point of an LED display module includes:

[0087] Step S100: importing several standard color test images at regular intervals and generating a primary mirror image consistent with the real-time output image of the display module;

[0088] The primary mirror image includes several pure color images in the standard color test image;

[0089] Step S200: collecting and identifying a primary mirror image, extracting a number of target pixel points, and calculating deviation values ​​of the number of target pixel points;

[0090] Step S300: Based on the calculation results of the deviation values ​​of several target pixels, the real-time color uniformity of the display module is evaluated and the predicted out-of-control point area is marked;

[0091] Step S400: regularly accessing external signal sources of different formats and generating a secondary mirror image consistent with the real-time output screen of the display module, wherein the secondary mirror image includes a marked predicted out-of-control point area;

[0092] Step S500: collecting and identifying the secondary mirror image, identifying abnormal information in the predicted out-of-control point area, and determining the abnormal out-of-control point;

[0093] Step S600: Continuously obtain the deterioration trend of abnormal out-of-control points, generate and send targeted warning information.

[0094] When this embodiment is applied, firstly, several standard color test images are imported at regular intervals and a first-level mirror image is generated that is completely consistent with the real-time output screen of the LED display module. The mirror image contains multiple pure color images such as red, green, blue, white, and black in the standard color test image. A high-resolution camera is used to collect the first-level mirror image at a fixed distance and angle. Subsequently, the collected image is analyzed. By accurately calculating the deviation between the color value of each pixel and the standard color value, the number of pixels whose deviation exceeds the preset threshold and their distribution are statistically analyzed, and the color uniformity of the LED display module is accurately evaluated. Once the color uniformity is lower than the preset standard, the system will quickly mark the area where there may be out-of-control points, and clarify the focus range for subsequent detection. Then, external signal sources of different formats are regularly connected to generate a second-level mirror image that is consistent with the real-time output screen of the display module. This second-level mirror image particularly covers the predicted out-of-control point area marked in the color uniformity detection. Next, the second-level mirror image is connected to different types of external signal sources in turn, and these external signal sources will output video signals with different formats and contents. When the secondary mirror image displays images input from different external signal sources, the system focuses on the predicted out-of-control point area. By comparing the display status of the marked area in the secondary mirror image under different external signal sources, the abnormal out-of-control point is determined. The monitoring cycle, color deterioration index and spatial diffusion index of the abnormal out-of-control point are preset, and the color deterioration index and spatial diffusion index of the abnormal out-of-control point are periodically and continuously monitored. During the monitoring cycle, once the color deterioration index and spatial diffusion index of the abnormal out-of-control point reach the warning conditions, the location information of the abnormal out-of-control point is generated and sent. The system will send warning information to relevant maintenance personnel in a timely manner through multiple preset methods such as sending text messages, pop-up prompts, and sending warning signals to related monitoring systems, so that maintenance measures can be taken quickly.

[0095] like Figure 2 As shown, as a preferred embodiment of the present invention, the collecting and identifying the primary mirror image, extracting a plurality of target pixel points, and calculating the deviation values ​​of the plurality of target pixel points specifically include:

[0096] Step S201: capturing the first-level mirror image several times according to a preset frame rate to generate a first-level mirror image set;

[0097] Step S202: Establish pixel coordinate mapping;

[0098] Step S203: obtaining a first-level mirror image set, selecting a target pixel point every 100 pixels, and generating a target pixel point list;

[0099] Step S204: Acquire the actual color values ​​of the target pixel list one by one;

[0100] Step S205: Calculate and store the difference between the actual color values ​​of a number of target pixels and the preset standard color values ​​in each color channel and generate a comprehensive color difference;

[0101] When this embodiment is applied, first, the first-level mirror image is captured multiple times according to the preset frame rate to ensure that continuous image data with time dimension changes are obtained, and then a first-level mirror image set is generated. This image set fully reflects the display state of the display module at different times, providing rich samples for subsequent in-depth analysis. Subsequently, a pixel coordinate mapping is established to build a corresponding relationship between image pixels and actual physical positions, so that the pixel position can be accurately locked in subsequent analysis, greatly improving the accuracy and traceability of the analysis. After obtaining the first-level mirror image set, a target pixel point is selected every 100 pixels, effectively reducing the amount of data processing and generating a list of targeted pixel points. These targeted pixel points become key samples reflecting the overall color characteristics of the image. The actual color values ​​of each point in the list of targeted pixel points are obtained one by one to provide basic data for color analysis. Then, the difference between the actual color value of each targeted pixel point and the preset standard color value in each color channel, the color channel is the red, green, and blue channels in the RGB color space, and the comprehensive color difference is calculated by a preset algorithm. The comprehensive color difference reflects the degree of deviation between the targeted pixel point and the standard color.

[0102] like Figure 3 As shown, as a preferred embodiment of the present invention, the method of evaluating the real-time color uniformity of the display module and marking the predicted out-of-control point area based on the calculation results of the deviation values ​​of several target pixels specifically includes:

[0103] Step S301: determining whether the comprehensive color difference of each target pixel is greater than a color difference threshold;

[0104] Step S302: if the comprehensive color difference of the target pixel is greater than the color difference threshold, an abnormal pixel is generated;

[0105] Step S303: locating coordinate information of abnormal pixel points based on pixel coordinate mapping;

[0106] Step S304: Obtain coordinate information of at least three adjacent abnormal pixel points, generate and mark a predicted out-of-control point area.

[0107] When this embodiment is applied, it is determined whether the comprehensive color difference of each targeted pixel is greater than a preset color difference threshold. This threshold is preset based on the display module performance standard and the actual application scenario. Once the comprehensive color difference of the targeted pixel is greater than the threshold, the system immediately generates an abnormal pixel and locates its coordinate information with the help of pixel coordinate mapping. The system further obtains the coordinate information of at least three adjacent abnormal pixels. If these points are closely adjacent in space and reach a certain degree of aggregation, the predicted out-of-control point area is generated and marked. These areas are very likely to be the key parts where the display module fails and out-of-control points are generated.

[0108] like Figure 4 As shown, as a preferred embodiment of the present invention, the acquisition and identification of the secondary mirror image, identification of abnormal information in the predicted out-of-control point area, and determination of the abnormal out-of-control point specifically include:

[0109] Step S501: matching the predicted out-of-control point area in the corresponding area of ​​the secondary mirror image;

[0110] Step S502: converting the color values ​​of a number of pixels in the corresponding area into the HSV color space, and generating the hue, saturation, and brightness component values ​​of the predicted points;

[0111] Step S503: comparing the hue, saturation, and brightness component values ​​of the predicted point with the standard hue, saturation, and brightness component values;

[0112] Step S504: If at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component values, the predicted point is determined to be an abnormal out-of-control point.

[0113] It should be understood that, first, the predicted out-of-control point area is matched in the corresponding area of ​​the secondary mirror image. The secondary mirror image covers the screen after the display module is connected to the external signal source. Through precise matching, the predicted out-of-control point area determined in the primary mirror image analysis is matched to the new image environment to ensure the consistency and pertinence of the analysis. Next, the color values ​​of several pixels in the corresponding area are converted to the HSV color space. Compared with the RGB color space, the HSV color space is more in line with the human visual perception characteristics and can more intuitively separate the hue, saturation and brightness information of the color. Through this conversion, the hue, saturation, and brightness component values ​​of the predicted point are generated to provide a suitable data form for subsequent accurate comparison. Subsequently, the key comparison work is carried out, that is, the hue, saturation, and brightness component values ​​of the predicted point are compared with the standard hue, saturation, and brightness component values. These standard values ​​are pre-set according to the design specifications and color standards of the display module. If, during the comparison process, at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component value, the system immediately determines that the predicted point is an abnormal out-of-control point. This judgment rule comprehensively considers multiple key dimensions of color to avoid the limitations of single-dimensional judgment.

[0114] like Figure 5 As shown, as a preferred embodiment of the present invention, the continuously obtaining the deterioration trend of abnormal out-of-control points and generating and sending targeted warning information specifically includes:

[0115] Step S601: Preset the monitoring period, color deterioration index and spatial diffusion index of the abnormal out-of-control point;

[0116] The color deterioration index is specifically the rate of change of the hue, saturation, and brightness component values ​​of the abnormal out-of-control point within the monitoring period;

[0117] The spatial diffusion index is the number of newly added abnormal out-of-control points within a preset pixel radius during the monitoring period;

[0118] Step S602: Based on the monitoring period, if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold;

[0119] Step S603: Generate and send the location information of the abnormal out-of-control point.

[0120] When this embodiment is applied, the monitoring mechanism for abnormal out-of-control points is further improved. The monitoring period of the abnormal out-of-control points is set, for example, data collection and analysis are performed every hour. The color deterioration index is defined, that is, the rate of change of the hue, saturation, and brightness component values ​​of the abnormal out-of-control points during the monitoring period. At the same time, the spatial diffusion index is set, which is the number of new abnormal out-of-control points within a preset pixel radius (such as within a radius of 5 pixels centered on the abnormal out-of-control point) during the monitoring period. Based on the monitoring period, once the color deterioration index or the spatial diffusion index is greater than the respective preset warning thresholds, the system immediately triggers the warning mechanism. At this time, the system will generate and send the location information of the abnormal out-of-control point, and promptly pass the detailed coordinates and related abnormal data to the maintenance personnel so that maintenance measures can be taken quickly.

[0121] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, a LED display module out-of-control point monitoring and early warning system, the system comprises:

[0122] The import module 100 is used to import several standard color test images at regular intervals and generate a primary mirror image consistent with the real-time output image of the display module;

[0123] The primary mirror image includes several pure color images in the standard color test image;

[0124] A first acquisition and recognition module 200, used for acquiring and recognizing a primary mirror image;

[0125] An extraction module 300 is used to extract a number of target pixels;

[0126] A calculation module 400 is used to calculate the deviation values ​​of a plurality of target pixel points;

[0127] An evaluation module 500 is used to evaluate the real-time color uniformity of the display module and mark the predicted out-of-control point area based on the calculation results of the deviation values ​​of a plurality of target pixels;

[0128] The access module 600 is used to periodically access external signal sources of different formats and generate a secondary mirror image consistent with the real-time output image of the display module;

[0129] The secondary mirror image includes a marked predicted out-of-control point area;

[0130] The second acquisition and recognition module 700 acquires and recognizes the secondary mirror image;

[0131] The identification and determination module 800 is used to identify abnormal information in the predicted out-of-control point area and determine the abnormal out-of-control point;

[0132] An acquisition module 900 is used to continuously acquire the deterioration trend of abnormal out-of-control points;

[0133] The generation and sending module 1000 is used to generate and send targeted early warning information.

[0134] When this embodiment is applied, the import module 100 periodically imports several standard color test images and generates a primary mirror image consistent with the real-time output screen of the display module, the first acquisition and identification module 200 acquires and identifies the primary mirror image, the extraction module extracts several target pixel points, the calculation module 400 calculates the deviation values ​​of several target pixel points, and based on the calculation results of the deviation values ​​of several target pixel points, the evaluation module 500 evaluates the real-time color uniformity of the display module and marks the predicted out-of-control point area, the access module 600 periodically accesses external signal sources of different formats and generates a secondary mirror image consistent with the real-time output screen of the display module, the second acquisition and identification module 700 acquires and identifies the secondary mirror image, the identification and determination module 800 identifies abnormal information of the predicted out-of-control point area, determines the abnormal out-of-control point position, the acquisition module 900 continuously acquires the deterioration trend of the abnormal out-of-control point position, and the generation and sending module 1000 generates and sends targeted early warning information.

[0135] like Figure 7 As shown, as another preferred embodiment of the present invention, the first acquisition and identification module 200 specifically includes:

[0136] The first capturing unit 201 is used to capture the primary mirror image several times according to a preset frame rate;

[0137] A first generating unit 202, configured to generate a first-level mirror image set;

[0138] A coordinate mapping unit 203, used to establish pixel coordinate mapping;

[0139] A first acquisition unit 204 is used to acquire a first-level mirror image set;

[0140] A selection unit 205 is used to select a target pixel point every 100 pixels;

[0141] A second generating unit 206, configured to generate a target pixel point list;

[0142] A second acquisition unit 207 is used to acquire the actual color values ​​of the target pixel list one by one;

[0143] The calculation storage unit 208 is used to calculate and store the difference between the actual color values ​​of a number of target pixels and the preset standard color values ​​in each color channel and generate a comprehensive color difference.

[0144] When this embodiment is applied, according to the preset frame rate, the first capturing unit 201 captures the first-level mirror image several times, the first generating unit 202 generates a first-level mirror image set, the coordinate mapping unit 203 establishes a pixel coordinate mapping, the first acquiring unit 204 acquires the first-level mirror image set, the selecting unit 205 selects a target pixel point every 100 pixels, the second generating unit 206 generates a target pixel point list, the second acquiring unit 207 acquires the actual color value of the target pixel point list one by one, and the calculating and storing unit 208 calculates and stores the difference between the actual color values ​​of several target pixel points and the preset standard color value in each color channel and generates a comprehensive color difference.

[0145] like Figure 8 As shown, as another preferred embodiment of the present invention, the evaluation module 500 specifically includes:

[0146] A judging unit 501 is used to judge whether the comprehensive color difference of each target pixel is greater than a color difference threshold;

[0147] The third generating unit 502 is used to generate abnormal pixel points;

[0148] A positioning unit 503, used to locate the coordinate information of abnormal pixel points;

[0149] A third acquisition unit 504 is used to acquire coordinate information of at least three adjacent abnormal pixel points;

[0150] The generating and marking unit 505 is used to generate and mark the predicted out-of-control point area.

[0151] When this embodiment is applied, the judgment unit 501 judges whether the comprehensive color difference of each target pixel point is greater than the color difference threshold, the third generation unit 502 generates abnormal pixels, the positioning unit 503 locates the coordinate information of the abnormal pixels, the third acquisition unit 504 acquires the coordinate information of at least three adjacent abnormal pixels, and the generation marking unit 505 generates and marks the predicted out-of-control point area.

[0152] like Fig. 9 As shown, as another preferred embodiment of the present invention, the second acquisition and identification module 700 specifically includes:

[0153] A matching unit 701 is used to match the predicted out-of-control point area with the corresponding area of ​​the secondary mirror image;

[0154] A conversion unit 702, used to convert the color values ​​of a plurality of pixels in a corresponding area into an HSV color space;

[0155] The fourth generating unit 703 is used to generate the hue, saturation and brightness component values ​​of the predicted point;

[0156] A comparison unit 704 is used to compare the hue, saturation, and brightness component values ​​of the predicted point with the standard hue, saturation, and brightness component values;

[0157] The determination unit 705 is used to determine that the predicted point is an abnormal out-of-control point if at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component values.

[0158] When this embodiment is applied, the matching unit 701 matches the corresponding area of ​​the predicted out-of-control point area in the secondary mirror image, the conversion unit 702 converts the color values ​​of several pixel points in the corresponding area into the HSV color space, the fourth generation unit 703 generates the hue, saturation, and brightness component values ​​of the predicted point, and the comparison unit 704 compares the hue, saturation, and brightness component values ​​of the predicted point with the standard hue, saturation, and brightness component values. If at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component values, the determination unit 705 determines that the predicted point is an abnormal out-of-control point.

[0159] like Fig.10 As shown, as another preferred embodiment of the present invention, the generating and sending module 1000 specifically includes:

[0160] A preset unit 1001 is used to preset a monitoring period, a color deterioration index and a spatial diffusion index of an abnormal out-of-control point;

[0161] The generating and sending unit 1002 generates and sends the position information of the abnormal out-of-control point based on the monitoring period if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold.

[0162] When this embodiment is applied, the preset unit presets the monitoring period, color deterioration index and spatial diffusion index of the abnormal out-of-control point. Based on the monitoring period, if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold, the generating and sending unit generates and sends the location information of the abnormal out-of-control point.

[0163] In the above embodiment of the present invention, a method for monitoring and warning of out-of-control points of an LED display module is provided, and a monitoring and warning system for out-of-control points of an LED display module is provided. First, several standard color test images are regularly imported and a first-level mirror image is generated that is completely consistent with the real-time output screen of the LED display module. The mirror image contains multiple pure color images such as red, green, blue, white, and black in the standard color test image. A high-resolution camera is used to collect the first-level mirror image at a fixed distance and angle. Subsequently, the collected image is analyzed. By accurately calculating the deviation between the color value of each pixel and the standard color value, the number of pixels whose deviation exceeds the preset threshold and their distribution are statistically analyzed, and the color uniformity of the LED display module is accurately evaluated. Once the color uniformity is lower than the preset standard, the system will quickly mark the area where the out-of-control point may exist, and clarify the focus range for subsequent detection. Then, external signal sources of different formats are regularly connected and a second-level mirror image is generated that is consistent with the real-time output screen of the display module. This second-level mirror image particularly covers the predicted out-of-control point area marked in the color uniformity detection. Next, the secondary mirror image is connected to different types of external signal sources in turn, and these external signal sources will output video signals with different formats and contents. When the secondary mirror image displays the images input by different external signal sources, the system focuses on the predicted out-of-control point area. By comparing the display status of the marked area in the secondary mirror image under different external signal sources, the abnormal out-of-control point is determined. The monitoring cycle, color deterioration index and spatial diffusion index of the abnormal out-of-control point are preset, and the color deterioration index and spatial diffusion index of the abnormal out-of-control point are periodically and continuously monitored. During the monitoring period, once the color deterioration index and spatial diffusion index of the abnormal out-of-control point reach the warning conditions, the location information of the abnormal out-of-control point is generated and sent. The system will send warning information to the relevant maintenance personnel in a timely manner through a variety of preset methods such as sending text messages, pop-up prompts, and sending warning signals to the associated monitoring system, so as to quickly take maintenance measures; this method and system efficiently complete the out-of-control point monitoring without interfering with the normal operation of the display module. Through the acquisition and analysis of mirror images, the color uniformity is accurately evaluated, and the possible out-of-control area is locked in advance to avoid the expansion of the problem. Accurate identification and continuous tracking of out-of-control points ensure timely warning before the problem worsens, effectively reduce maintenance costs, improve the reliability and service life of the display module, and provide stable display guarantee for various scenarios that rely on LED displays.

[0164] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0165] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0166] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0167] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0168] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring and early warning of out-of-control points of LED display modules, characterized in that: The method comprises: Importing several standard color test images at regular intervals and generating a primary mirror image consistent with the real-time output image of the display module, wherein the primary mirror image includes several pure color images in the standard color test images; Collect and identify the primary mirror image, extract a number of target pixel points, and calculate the deviation values ​​of a number of target pixel points; Based on the calculation results of several targeted pixel deviation values, the real-time color uniformity of the display module is evaluated and the predicted out-of-control point area is marked; Regularly access external signal sources of different formats and generate a secondary mirror image that is consistent with the real-time output screen of the display module, wherein the secondary mirror image includes a marked predicted out-of-control point area; Collect and identify secondary mirror images, identify abnormal information in the predicted out-of-control point area, and determine the abnormal out-of-control point location; Continuously obtain the deterioration trend of abnormal out-of-control points, generate and send targeted early warning information; The continuously obtaining the deterioration trend of abnormal out-of-control points and generating and sending targeted warning information specifically includes: Preset monitoring period, color deterioration index and spatial diffusion index of abnormal out-of-control points; The color deterioration index is specifically the rate of change of the hue, saturation, and brightness component values ​​of the abnormal out-of-control point within the monitoring period; The spatial diffusion index is the number of newly added abnormal out-of-control points within a preset pixel radius during the monitoring period; Based on the monitoring period, if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold; Generate and send the location information of the abnormal out-of-control point.

2. The LED display module out-of-control point monitoring and early warning method according to claim 1 is characterized in that: The collecting and identifying the primary mirror image, extracting a plurality of target pixel points, and calculating the deviation values ​​of the plurality of target pixel points specifically include: According to a preset frame rate, the first-level mirror image is captured several times to generate a first-level mirror image set; Establish pixel coordinate mapping; Obtain a first-level mirror image set, select a target pixel point every 100 pixels, and generate a target pixel point list; Get the actual color values ​​of the targeted pixel list one by one; The difference between the actual color values ​​of several target pixels and the preset standard color values ​​in each color channel is calculated and stored to generate a comprehensive color difference.

3. The LED display module out-of-control point monitoring and early warning method according to claim 1 is characterized in that: The method of evaluating the real-time color uniformity of the display module and marking the predicted out-of-control point area based on the calculation results of the deviation values ​​of several target pixels specifically includes: Determine whether the comprehensive color difference of each target pixel is greater than the color difference threshold; If the comprehensive color difference of the target pixel is greater than the color difference threshold, an abnormal pixel is generated; Based on pixel coordinate mapping, locate the coordinate information of abnormal pixels; Obtain the coordinate information of at least three adjacent abnormal pixels, generate and mark the predicted out-of-control point area.

4. The LED display module out-of-control point monitoring and early warning method according to claim 1 is characterized in that: The collecting and identifying of the secondary mirror image, identifying the abnormal information of the predicted out-of-control point area, and determining the abnormal out-of-control point specifically include: Matching the predicted out-of-control point area to the corresponding area of ​​the secondary mirror image; Convert the color values ​​of several pixels in the corresponding area to the HSV color space, and generate the hue, saturation, and brightness component values ​​of the predicted points; Compare the hue, saturation, and brightness component values ​​of the predicted point with the standard hue, saturation, and brightness component values; If at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component value, the predicted point is determined to be an abnormal out-of-control point.

5. A LED display module out-of-control point monitoring and early warning system, characterized in that: The display module out-of-control point monitoring and early warning method according to any one of claims 1 to 4 is applied, and the system comprises: An import module is used to periodically import several standard color test images and generate a primary mirror image that is consistent with the real-time output image of the display module; The primary mirror image includes several pure color images in the standard color test image; A first acquisition and recognition module, used for acquiring and recognizing a primary mirror image; An extraction module, used to extract a number of target pixels; A calculation module, used to calculate the deviation values ​​of several target pixel points; An evaluation module, used to evaluate the real-time color uniformity of the display module and mark the predicted out-of-control point area based on the calculation results of several target pixel point deviation values; The access module is used to periodically access external signal sources of different formats and generate a secondary mirror image that is consistent with the real-time output image of the display module; The secondary mirror image includes a marked predicted out-of-control point area; A second acquisition and recognition module acquires and recognizes a secondary mirror image; The identification and determination module is used to identify abnormal information in the predicted out-of-control point area and determine the abnormal out-of-control point location; Acquisition module, used to continuously acquire the deterioration trend of abnormal out-of-control points; A generation and sending module is used to generate and send targeted early warning information; The generating and sending module specifically comprises: A preset unit is used to preset the monitoring period, color deterioration index and spatial diffusion index of abnormal out-of-control points; A generating and sending unit generates and sends the location information of the abnormal out-of-control point based on the monitoring period if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold; The color deterioration index is specifically the rate of change of the hue, saturation, and brightness component values ​​of the abnormal out-of-control point within the monitoring period; The spatial diffusion index is the number of newly added abnormal out-of-control points within a preset pixel radius during the monitoring period; Based on the monitoring period, if the color deterioration index or the spatial diffusion index is greater than the corresponding preset warning threshold; Generate and send the location information of the abnormal out-of-control point.

6. The LED display module out-of-control point monitoring and early warning system according to claim 5 is characterized in that: The first acquisition and identification module specifically includes: A first capturing unit, used to capture the primary mirror image several times according to a preset frame rate; A first generating unit, used to generate a first-level mirror image set; A coordinate mapping unit, used for establishing pixel coordinate mapping; A first acquisition unit, used to acquire a first-level mirror image set; A selection unit is used to select a target pixel point every 100 pixels; A second generating unit, used to generate a target pixel point list; A second acquisition unit is used to acquire the actual color values ​​of the target pixel list one by one; The calculation storage unit is used to calculate and store the difference between the actual color values ​​of a number of target pixel points and the preset standard color values ​​in each color channel and generate a comprehensive color difference.

7. The LED display module out-of-control point monitoring and early warning system according to claim 5 is characterized in that: The evaluation module specifically includes: A judging unit, used to judge whether the comprehensive color difference of each target pixel is greater than a color difference threshold; A third generating unit, used to generate abnormal pixel points; A positioning unit, used to locate the coordinate information of abnormal pixel points; A third acquisition unit, used to acquire coordinate information of at least three adjacent abnormal pixel points; A marking unit is generated to generate and mark the predicted out-of-control point area.

8. The LED display module out-of-control point monitoring and early warning system according to claim 5 is characterized in that: The second acquisition and identification module specifically includes: A matching unit, used for matching the predicted out-of-control point area with the corresponding area of ​​the secondary mirror image; A conversion unit, used to convert the color values ​​of a number of pixels in a corresponding area into an HSV color space; A fourth generating unit, used to generate hue, saturation, and brightness component values ​​of the predicted point; A comparison unit, used to compare the hue, saturation, and brightness component values ​​of the predicted point with the standard hue, saturation, and brightness component values; The determination unit is used to determine that the predicted point is an abnormal out-of-control point if at least one of the hue, saturation, and brightness component values ​​of the predicted point is greater than the standard hue, saturation, and brightness component values.

Images