A method and system for evaluating heat dissipation performance of a backlight

Abstract

The application discloses a heat dissipation performance evaluation method and system for a backlight source. In a first test period, a backlight module is powered on, and an infrared image of the module is acquired, color features are extracted based on a color histogram, and a backlight sub-region is divided by adopting condensed hierarchical clustering. In a second test period, the sub-region and the whole are powered on respectively, RGB color features and temperature differences in the two tests are extracted, color feature differences and temperature differences are calculated, and a heat dissipation index of each region is evaluated. The index can comprehensively reflect the heat dissipation performance of different regions, effectively guide structural adjustment and production optimization of the backlight module, and improve production test efficiency and performance evaluation accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of display backlight, more particularly, to a heat dissipation performance evaluation method and system for backlight. BACKGROUND

[0002] With the development of display, the power density of display backlight module (such as Mini LED, Micro LED array, etc.) continues to increase, and its heat dissipation performance directly affects the light efficiency stability of the module, the service life of the module and the deviation of the backlight. In the analysis and testing of the heat dissipation performance of the backlight module, the traditional technology often follows a single test scheme, which is single in the process of screening products, and it is difficult to accurately measure the heat dissipation performance and heat dissipation distribution of the product. It is difficult to achieve better adaptability for various specifications of products, lacks technology combining infrared images for heat dissipation distribution, lacks comprehensive and highly intelligent performance test scheme, and hinders the technical development of backlight module. SUMMARY

[0003] The present application overcomes the defects of the prior art and provides a heat dissipation performance evaluation method and system for backlight.

[0004] The first aspect of the present application provides a heat dissipation performance evaluation method for backlight, comprising:

[0005] S101: In the first power-on period, the backlight module is tested and the infrared image data of the backlight module is obtained;

[0006] S102: Based on the division of the backlight module into multiple unit areas, the infrared image data is preprocessed, the color features of each unit area are extracted based on the color histogram, the color features are clustered through the form of condensed hierarchical clustering, and the unit areas are merged based on the clustering data state to obtain multiple backlight sub-areas;

[0007] S103: In the second power-on period, each backlight sub-area is tested separately, the whole module is tested, the color features of the backlight sub-area in the two tests of separate power-on and whole module power-on are extracted, and the first color feature and the second color feature are marked respectively, and the temperature difference of the two tests is recorded;

[0008] S104: The first color feature and the second color feature are calculated for the color feature difference of RGB three channels, combined with the temperature difference, and the first heat dissipation index of each backlight sub-area is evaluated;

[0009] S105: The heat dissipation performance of the backlight module is evaluated and the module production is optimized through the first heat dissipation index of each backlight sub-area.

[0010] In the present application, the S101 is specifically:

[0011] A first power-on period is set, and the backlight module is powered on for testing in the first power-on period;

[0012] Infrared image data of the backlight module is obtained by an infrared camera device.

[0013] In this scheme, S102 is specifically:

[0014] Based on the size of the backlight module area, a plurality of unit areas are divided to ensure that the shape and size of each unit area are consistent;

[0015] The infrared image data is preprocessed by noise reduction and standardization, and for each unit area, the corresponding color histogram is counted, and the feature data is extracted based on the color histogram to obtain the color feature of each unit area;

[0016] By using the condensed hierarchical clustering method, the color feature of each unit area is set as an independent cluster, the distance between the independent clusters is calculated by the standard Euclidean distance, and the independent clusters are merged based on the distance threshold, and the center point of each independent cluster after merging is recalculated.

[0017] A plurality of independent clusters are generated by a predetermined number of iterations, and a plurality of unit areas are merged based on the clustering data state to obtain a plurality of backlight sub-areas.

[0018] In this scheme, S103 is specifically:

[0019] In the second power-on period, each backlight sub-area is powered on for testing, and the first infrared image of the separate power-on test is obtained by the infrared camera device;

[0020] The first infrared image is preprocessed and the image features are extracted by the color histogram to obtain the first color feature, and the temperature value is recorded;

[0021] The overall module is powered on for testing, and the overall color feature is obtained based on the color histogram, and the temperature value of each backlight sub-area is recorded during the power-on test based on the infrared camera device;

[0022] In the overall color feature, the color feature of each backlight sub-area is extracted to obtain the second color feature.

[0023] In this scheme, S104 is specifically:

[0024] RGB three-channel color feature difference calculation is performed according to the first color feature and the second color feature, and the difference degree of the three channels is homogenized to obtain the color difference value;

[0025] For each backlight sub-region, the temperature difference is calculated by the twice recorded temperature values, and the first heat dissipation index of each backlight sub-region is evaluated by the color difference value and the temperature difference.

[0026] In this scheme, the S105, specifically:

[0027] The first heat dissipation index of each backlight sub-region is used to evaluate the heat dissipation performance distribution of the backlight module, to judge the production quality distribution of the backlight module, and to perform production anomaly evaluation on each backlight sub-region, and to set the generation optimization scheme of the backlight module.

[0028] The second aspect of the present application also provides a heat dissipation performance evaluation system for a backlight source, which comprises a memory and a processor, wherein the memory comprises a heat dissipation performance evaluation program for the backlight source, and the heat dissipation performance evaluation program for the backlight source is executed by the processor to realize the following steps:

[0029] S101: In the first power-on period, the backlight module is tested for power-on, and infrared image data of the backlight module is obtained;

[0030] S102: Based on the division of the backlight module into multiple unit regions, the infrared image data is preprocessed, the color features of each unit region are extracted based on the color histogram, the color features are clustered in the form of agglomerative hierarchical clustering, and the unit regions are merged based on the clustering data state to obtain multiple backlight sub-regions;

[0031] S103: In the second power-on period, each backlight sub-region is tested for power-on, the whole module is tested for power-on, the color features of the backlight sub-regions in the two tests of individual power-on and whole module power-on are extracted, and the color features are respectively marked as first color features and second color features, and the temperature difference in the two tests is recorded;

[0032] S104: The first color features and the second color features are calculated for the color feature difference of the RGB three channels, and the temperature difference is combined to evaluate the first heat dissipation index of each backlight sub-region;

[0033] S105: The first heat dissipation index of each backlight sub-region is used to evaluate the heat dissipation performance of the backlight module and the module production optimization.

[0034] The third aspect of the present application also provides a computer readable storage medium, wherein the computer readable storage medium comprises a heat dissipation performance evaluation program for a backlight source, and the heat dissipation performance evaluation program for the backlight source is executed by the processor to realize the steps of the heat dissipation performance evaluation method for the backlight source as described in any one of the above aspects.

[0035] The application discloses a heat dissipation performance evaluation method and system for a backlight source. In a first test period, a backlight module is powered on, and an infrared image of the backlight module is acquired; color features are extracted based on a color histogram, and backlight sub-regions are divided by adopting condensed hierarchical clustering; in a second test period, the sub-regions and the whole are powered on respectively, RGB color features and temperature differences in the two tests are extracted, color feature differences and temperature differences are calculated, and a heat dissipation index of each region is evaluated; the index can comprehensively reflect the heat dissipation performance of different regions, and effectively guide the backlight module to make structural adjustment and production optimization, improve production test efficiency and performance evaluation accuracy. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 A flow chart of a heat dissipation performance evaluation method for a backlight source is shown;

[0037] Figure 2 A block diagram of a heat dissipation performance evaluation system for a backlight source is shown. DETAILED DESCRIPTION

[0038] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the present application will be further described in detail below with reference to the drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0039] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, however, the present application can also be implemented in other ways different from those described herein, therefore, the protection scope of the present application is not limited by the specific embodiments disclosed below.

[0040] Figure 1 A flow chart of a heat dissipation performance evaluation method for a backlight source is shown.

[0041] As Figure 1 shown, the first aspect of the present application provides a heat dissipation performance evaluation method for a backlight source, comprising:

[0042] S101: in a first power-on period, the backlight module is powered on for testing, and infrared image data of the backlight module is acquired;

[0043] S102: based on the backlight module, a plurality of unit regions are divided, the infrared image data is preprocessed, color features of each unit region are extracted based on a color histogram, the color features are clustered by adopting condensed hierarchical clustering, the unit regions are merged based on the clustering data state, and a plurality of backlight sub-regions are obtained;

[0044] S103: In the second power-on period, each backlight sub-region is tested for individual power-on, the overall module is tested for power-on, the color characteristics of the backlight sub-region in the two tests of individual power-on and overall module power-on are extracted, and are marked as first color characteristics and second color characteristics respectively, and the temperature difference of the two tests is recorded;

[0045] S104: The first color characteristics and the second color characteristics are calculated for the color characteristic difference of the RGB three channels, the temperature difference is combined, and the first heat dissipation index of each backlight sub-region is evaluated;

[0046] S105: The heat dissipation performance of the backlight module is evaluated and the module production is optimized through the first heat dissipation index of each backlight sub-region.

[0047] It should be noted that the backlight module is a backlight source module, and the overall region of the backlight source is used for heat dissipation performance research.

[0048] According to the embodiment of the application, the S101 is specifically:

[0049] A first power-on period is set, and the backlight module is tested for power-on in the first power-on period;

[0050] The infrared image data of the backlight module is obtained by an infrared camera device.

[0051] It should be noted that the infrared image data is used to analyze the temperature control change of the backlight module, and the corresponding color characteristics effectively record the temperature change information. The power-on test in the first power-on period is a test of the overall backlight module, the first power-on period is a relatively short time period, which is used for rapid evaluation and regional division of the overall module heat dissipation, and the second power-on period is a relatively long period, and the measurement items are more, which is used for detailed analysis of the heat dissipation performance distribution.

[0052] According to the embodiment of the application, the S102 is specifically:

[0053] Based on the size of the backlight module, a plurality of unit regions are divided, and the shape and size of each unit region are ensured to be consistent;

[0054] The infrared image data is preprocessed by noise reduction and standardization, the color histogram of each unit region is counted, and the feature data is extracted based on the color histogram to obtain the color characteristics of each unit region;

[0055] The color characteristics of each unit region are set as independent clusters by the agglomerative hierarchical clustering method, the distance between the independent clusters is calculated by the standard Euclidean distance, the independent clusters are merged based on the distance threshold, and the center point of each independent cluster after merging is recalculated;

[0056] The preset iteration number is used to generate multiple independent clusters, and the multiple unit areas are merged based on a clustering data state to obtain multiple backlight sub-areas.

[0057] It should be noted that the unit area can be divided in a grid division form, such as 16*16 areas or 32*32 areas, for refining the area to evaluate the heat dissipation performance. The color feature specifically includes brightness and RGB three-channel color feature information. The distance threshold is set by the user, and the larger the value, the more clusters of the clustering result. The color feature is converted into a feature vector for standard Euclidean distance calculation.

[0058] According to the embodiment of the present application, S103, specifically:

[0059] In the second power-on period, each backlight sub-area is tested separately, and a first infrared image of the separate power-on test is obtained by an infrared camera device;

[0060] The first infrared image is preprocessed and the image features are extracted by a color histogram to obtain first color features, and the temperature values are recorded;

[0061] The overall module is tested, and the overall color features are obtained based on the color histogram, and the temperature values of each backlight sub-area are recorded during the power-on test based on the infrared camera device;

[0062] In the overall color features, the color features of each backlight sub-area are extracted to obtain second color features.

[0063] It should be noted that the second power-on period includes multiple test time periods, which can be set to 2-10 hours, for measuring the heat dissipation level of the backlight module after power-on. The time is used to simulate the actual use time of the backlight module, and each test time period is corresponded. The preprocessing includes noise reduction and standardization. Each backlight sub-area corresponds to a first infrared image, that is, each backlight sub-area is tested separately, and the power-on test of the overall module only needs to be measured once, and the color features of each backlight sub-area are extracted based on the corresponding overall infrared image. Each backlight sub-area includes a first color feature and a second color feature. The overall module is the overall backlight module. The temperature value is generally represented by the center point temperature value of the corresponding area or the temperature mean value of multiple randomly selected points. The temperature value can be obtained by an infrared camera device or a temperature sensor. The infrared camera device can perform infrared imaging on an object.

[0064] The smaller the color feature difference is, the smaller the temperature control difference between the separate test and the overall of the backlight sub-area is, the better the heat dissipation performance is, the smaller the heat dissipation index is, and the temperature difference can also reflect the temperature control difference of the backlight sub-area, so the weighted calculation is performed.

[0065] It is worth noting here that the overall module test can reflect the overall heat dissipation performance, the single test can reflect the independent heat dissipation and temperature control of the single backlight sub-area, further, in the overall module test process, the heat dissipation and temperature control of each backlight sub-area are extracted and compared with the heat dissipation and temperature control of the single test, the heat dissipation performance difference of a sub-area in single and overall operation can be analyzed (the heat dissipation difference is analyzed by taking the single sub-area as the analysis object), the heat dissipation difference is evaluated by the color feature difference and the temperature difference, and the heat dissipation index is calculated by the difference analysis, so that the heat dissipation performance of different areas can be accurately and effectively evaluated, so as to evaluate the heat dissipation performance distribution of the backlight module, and further optimize the production process, adjust the abnormal area, and improve the production quality.

[0066] According to the embodiment of the present application, the S104 is specifically:

[0067] According to the first color feature and the second color feature, the color feature difference of the RGB three channels is calculated, and the difference degree of the three channels is homogenized to obtain a color difference value;

[0068] For each backlight sub-area, the temperature difference is calculated by the temperature values recorded twice, and the first heat dissipation index of each backlight sub-area is evaluated by the color difference value and the temperature difference.

[0069] It should be noted that in the color feature difference calculation of the three channels, the difference calculation is generally based on the color feature values of the RGB three channels, and the RGB three channel values are generally in the range of 0-255.

[0070] The heat dissipation index is calculated as follows:

[0071] ;

[0072] Wherein, The heat dissipation index, K1 and K2 are preset weight values, which can be 0.8 and 0.2 respectively, and generally K1>K2, The color difference value, The temperature difference, all taking positive values for calculation.

[0073] The first heat dissipation index and the second heat dissipation index are calculated by the above heat dissipation index formula.

[0074] According to the embodiment of the present application, the S105 is specifically:

[0075] The heat dissipation performance distribution of the backlight module is evaluated by the first heat dissipation index of each backlight sub-area, the production quality distribution of the backlight module is judged, the production abnormality of each backlight sub-area is evaluated, and the generation optimization scheme of the backlight module is set.

[0076] It should be noted that the generation optimization scheme includes replacing the backlight module area corresponding to the abnormal backlight sub-area, replacing the key material, optimizing the production process parameters, etc. Through the heat dissipation performance distribution analysis, the quality and performance of the backlight module are effectively analyzed and optimized, the production intelligence and automation level are greatly improved, the manual experience analysis is reduced, and the overall production quality is effectively improved.

[0077] It is worth mentioning here that in the heat dissipation performance analysis and testing of the backlight module, the traditional technology often follows a single test scheme, and the product screening process is single, which is difficult to accurately measure the heat dissipation performance and heat dissipation distribution of the product, and it is difficult to adapt to multiple specifications of products, and lacks a comprehensive and intelligent performance test scheme.

[0078] Based on this, the backlight module is preliminarily determined, the performance of each area is analyzed and divided into backlight sub-areas through infrared image form, further, the color feature difference of different sub-areas is analyzed through separate testing and overall testing, the heat dissipation performance of each sub-area is evaluated combined with temperature difference information, and the performance distribution of the backlight module is further accurately analyzed, accurate and effective performance test data are provided for production, so that the backlight module can be accurately optimized and screened in production, and the production efficiency and production quality are improved.

[0079] According to the embodiment of the present application, further comprising:

[0080] After the second power-on period, one backlight sub-area is taken as a current sub-area;

[0081] The adjacent backlight sub-area of the current sub-area is obtained and marked as an adjacent sub-area;

[0082] The first color feature of the current sub-area is respectively calculated with the second color feature of the plurality of adjacent sub-areas in RGB three channels, the plurality of color difference values obtained are averaged to obtain an average color difference value;

[0083] The temperature difference value between the temperature value of the current sub-area in the separate power-on test and the corresponding temperature value of the adjacent sub-area in the overall module power-on test is calculated through temperature recording, and the temperature average difference value is calculated based on the plurality of adjacent sub-areas;

[0084] The second heat dissipation index is evaluated through the average color difference value and the temperature average difference value, and the heat dissipation influence evaluation and the heat dissipation performance distribution evaluation of each backlight sub-area are performed according to the second heat dissipation index.

[0085] It should be noted that the adjacent sub-regions generally include multiple, adjacent to the adjacent sub-regions on the module space, analyzing the adjacent sub-regions can comprehensively analyze the heat dissipation influence of a certain backlight sub-region on the entire module, and can evaluate the heat dissipation importance of each backlight sub-region (analyze the heat dissipation influence of a single sub-region on the entire module). The difference between the temperature value of the current sub-region in the single power-on test and the corresponding temperature value of the adjacent sub-region in the overall module power-on test is calculated, specifically, in the second power-on period, the corresponding first color feature and temperature value of each single test backlight sub-region are recorded, and the corresponding temperature value of each backlight sub-region is recorded through overall test when the overall module is powered on. Therefore, each backlight sub-region has two temperature recording values. For each backlight sub-region, there is a certain heat dissipation difference between the single test and the overall module test.

[0086] The average color difference value is obtained by calculating the color difference degree of the first color feature of the current sub-region and the second color feature of the adjacent sub-region. Since the adjacent sub-regions generally include multiple, the multiple color difference degrees are averaged.

[0087] The second heat dissipation index mainly analyzes the heat dissipation influence between each backlight sub-region and the adjacent sub-region, and then analyzes the heat dissipation performance, focusing on analyzing the heat dissipation influence of a certain region on the nearby module region or the overall module.

[0088] If the temperature average difference value is greater than 0, it means that the temperature value of the current sub-region in the single power-on test is greater than the corresponding temperature value of the multiple adjacent sub-regions in the overall module power-on test, which means that the current sub-region has better heat dissipation influence and lower heat dissipation influence on the adjacent region. If the temperature average difference value is less than 0, it means that the current sub-region has a certain negative heat dissipation influence on the adjacent sub-region. For the second heat dissipation index, the positive value represents the positive heat dissipation influence, and the negative value represents the negative heat dissipation influence. If the temperature average difference value is less than 0, the average color difference value is set to negative during calculation.

[0089] The second heat dissipation index is calculated in the same way as the first heat dissipation index, and the parameters are, The average color difference value is applied, The temperature average difference value is applied, and the remaining parameters are the same.

[0090] According to the embodiment of the application, it further comprises:

[0091] In the second power-on period, the infrared image of the overall module power-on test is obtained, which is marked as the second infrared image;

[0092] The second infrared image is grayed, and the pixel amplitude value of the image is calculated based on the sobel operator, and the boundary is set based on the amplitude threshold to obtain the first contour feature;

[0093] After the backlight module is optimized in production, a second power-on test is performed on the overall module to obtain a third infrared image;

[0094] Based on the sobel operator, contour feature extraction is performed on the third infrared image to obtain a second contour feature;

[0095] The first contour feature and the second contour feature are vectorized, and the distance between them is calculated based on the standard Euclidean distance, and the distance value is compared with a preset distance to determine whether there is a change in heat dissipation performance.

[0096] It should be noted that the present application can quickly determine whether the module has certain heat dissipation performance optimization by extracting the contour features of the infrared image of the backlight module before and after optimization, based on the similarity analysis of the features. If the distance value is greater than the preset distance, it means that the contour features are significantly different, and there is a certain degree of change in heat dissipation performance. In the subsequent calculation of the heat dissipation index and the production and assembly of the backlight module, if there is no change in heat dissipation performance, the backlight module is subjected to secondary production or marked as unqualified products, reducing the process of repeated determination and analysis of the heat dissipation performance of each area, improving the product performance analysis efficiency, and thus improving the production efficiency.

[0097] The sobel operator is calculated based on a 3x3 matrix, which calculates the gradient of each pixel in the x direction and the gradient in the y direction and calculates the gradient amplitude for contour extraction, as follows:

[0098] ;

[0099] where G is the gradient amplitude, and Gx and Gy are the two gradients.

[0100] The standard Euclidean distance calculation formula is:

[0101] ;

[0102] where L is the standard Euclidean distance, D is the dimension number of the vector, and represent the i-th dimension value of the first vector and the i-th dimension value of the second vector, respectively.

[0103] Figure 2 A block diagram of a heat dissipation performance evaluation system for a backlight source is shown.

[0104] The second aspect of the present application also provides a heat dissipation performance evaluation system 2 for a backlight source, the system comprising: a memory 21, a processor 22, the memory 21 comprising a heat dissipation performance evaluation program for a backlight source, the heat dissipation performance evaluation program for a backlight source being executed by the processor 22 to implement the following steps:

[0105] S101: In the first power-on cycle, the backlight module is tested for power-on, and infrared image data of the backlight module is obtained;

[0106] S102: Based on the backlight module, a plurality of unit regions are divided, the infrared image data is preprocessed, the color features of each unit region are extracted based on the color histogram, the color features are clustered through the condensed hierarchical clustering form, the unit regions are merged based on the clustering data state, and a plurality of backlight sub-regions are obtained;

[0107] S103: In the second power-on cycle, each backlight sub-region is tested for power-on, the overall module is tested for power-on, the backlight sub-region color features of the two tests of power-on alone and the overall module power-on are extracted, and are respectively marked as first color features and second color features, and the temperature difference of the two tests is recorded;

[0108] S104: The first color features and the second color features are calculated for the RGB three-channel color feature difference, combined with the temperature difference, and the first heat dissipation index of each backlight sub-region is evaluated;

[0109] S105: The heat dissipation performance of the backlight module is evaluated and the module production is optimized through the first heat dissipation index of each backlight sub-region.

[0110] It should be noted that the backlight module is a backlight source module, and the overall region of the backlight source is used for heat dissipation performance research.

[0111] According to the embodiment of the present application, the S101, specifically:

[0112] The first power-on cycle is set, and the backlight module is tested for power-on in the first power-on cycle;

[0113] The infrared image data of the backlight module is obtained through the infrared camera device.

[0114] It should be noted that the infrared image data is used to analyze the temperature control change of the backlight module, and the corresponding color features effectively record the temperature change information. The power-on test in the first power-on cycle is a test of the overall backlight module, the first power-on cycle is a short time cycle, which is used for rapid evaluation and region division of the overall module heat dissipation, and the second power-on cycle is a long cycle, and the measurement items are more, which is used for detailed analysis of the heat dissipation performance distribution.

[0115] According to the embodiment of the present application, the S102, specifically:

[0116] Based on the size of the backlight module, a plurality of unit areas are divided to ensure that the shape and size of each unit area are consistent;

[0117] The infrared image data is preprocessed by noise reduction and standardization, for each unit area, the corresponding color histogram is counted, and the feature data is extracted based on the color histogram to obtain the color feature of each unit area;

[0118] By the condensed hierarchical clustering method, the color feature of each unit area is set as an independent cluster, the distance between the independent clusters is calculated by the standard Euclidean distance, and the independent clusters are merged based on the distance threshold, and the center point of each independent cluster after merging is recalculated;

[0119] Through a preset number of iterations, a plurality of independent clusters are generated, and based on the clustering data state, a plurality of unit areas are merged to obtain a plurality of backlight sub-areas.

[0120] It should be noted that the unit area can be divided in a grid division form, such as 16x16 areas or 32x32 areas, etc., for refining the area to evaluate the heat dissipation performance. The color feature specifically includes brightness and RGB three-channel color feature information. The distance threshold is set by the user, the larger the value, the more clusters of the clustering result, and the clustering effect can be adjusted by the distance threshold. The color feature is converted into a feature vector for standard Euclidean distance calculation.

[0121] According to the embodiment of the present application, the S103, specifically:

[0122] In the second power-on period, each backlight sub-area is tested separately, and the first infrared image of the separate power-on test is obtained by the infrared camera device;

[0123] The first infrared image is preprocessed and the image feature is extracted by the color histogram to obtain the first color feature, and the temperature value is recorded;

[0124] The overall module is tested by power-on, and the overall color feature is obtained based on the color histogram, and the temperature value of each backlight sub-area is recorded during the power-on test based on the infrared camera device;

[0125] In the overall color feature, the color feature of each backlight sub-area is extracted to obtain the second color feature.

[0126] It should be noted that the second power-on period includes a plurality of test time periods, which can be set to 2-10 hours, for determining the heat dissipation level of the backlight module after power-on. The time is used to simulate the actual use time of the backlight module, and the temperature difference is calculated for each test time period. The preprocessing includes noise reduction and standardization. Each backlight sub-region corresponds to a first infrared image, that is, each backlight sub-region is tested separately, and the power-on test of the overall module only needs to be measured once, and the color features of each backlight sub-region are extracted based on the corresponding overall infrared image. Each backlight sub-region includes a corresponding first color feature and a second color feature. The overall module is the overall backlight module. The temperature value is generally represented by the center point temperature value of the corresponding region or the temperature average of the randomly selected multiple points. The temperature value can be obtained by an infrared camera device or a temperature sensor. The infrared camera device can perform infrared imaging on an object.

[0127] The smaller the color feature difference is, the smaller the difference between the separate test and the overall temperature control of the backlight sub-region is, the better the heat dissipation performance is, and the smaller the heat dissipation index is. The temperature difference can also reflect the difference in temperature control of the backlight sub-region, so a weighted calculation is performed.

[0128] It is worth noting here that the overall module test can reflect the overall heat dissipation performance, and the separate test can reflect the independent heat dissipation and temperature control of the individual backlight sub-region. Further, during the overall module test, the heat dissipation and temperature control of each backlight sub-region are extracted and compared with the heat dissipation and temperature control of the separate test, which can analyze the difference in heat dissipation performance of a sub-region between separate and overall operation (heat dissipation difference analysis is performed on the separate sub-region as an analysis object). The present application evaluates the heat dissipation difference from two aspects of color feature difference and temperature difference, and calculates the heat dissipation index through difference analysis, which can accurately and effectively evaluate the heat dissipation performance of different regions, thereby evaluating the heat dissipation performance distribution of the backlight module, and further optimizing the production process, adjusting the abnormal region, and improving the production quality.

[0129] According to the embodiment of the present application, the S104, specifically:

[0130] The color feature difference of the RGB three channels is calculated according to the first color feature and the second color feature, and the difference degree of the three channels is homogenized to obtain a color difference value;

[0131] For each backlight sub-region, the temperature difference is calculated by the temperature values recorded twice, and the first heat dissipation index of each backlight sub-region is evaluated by the color difference value and the temperature difference.

[0132] It should be noted that in the color feature difference calculation of the three channels, the difference calculation is generally based on the color feature values of the RGB three channels. The RGB three channel values are generally in the range of 0-255.

[0133] The heat dissipation index is calculated as follows:

[0134]

[0135] wherein, is the heat dissipation index, K1 and K2 are preset weight values, which can be respectively 0.8 and 0.2, and generally K1 > K2, is the color difference value, is the temperature difference, all of which are positive values for calculation.

[0136] The first heat dissipation index and the second heat dissipation index are both calculated according to the heat dissipation index formula.

[0137] According to the embodiment of the present application, the S105, in particular,

[0138] The heat dissipation performance distribution of the backlight module is evaluated by the first heat dissipation index of each backlight sub-region, the production quality distribution of the backlight module is judged, the production abnormality of each backlight sub-region is evaluated, and the generation optimization scheme of the backlight module is set.

[0139] It should be noted that the generation optimization scheme includes replacing the backlight module area corresponding to the abnormal backlight sub-region, replacing the key material, optimizing the production process parameters, etc. Through the heat dissipation performance distribution analysis, the quality and performance of the backlight module are effectively analyzed and optimized, the intelligentization and automation level of production is greatly improved, the manual experience analysis is reduced, and the overall production quality is effectively improved.

[0140] The third aspect of the present application further provides a computer readable storage medium, wherein the computer readable storage medium comprises a heat dissipation performance evaluation program for a backlight source, and the heat dissipation performance evaluation program for the backlight source is executed by a processor to realize the steps of the heat dissipation performance evaluation method for the backlight source according to any one of the above.

[0141] The present application discloses a heat dissipation performance evaluation method and system for a backlight source. In a first test period, the backlight module is powered on and the module infrared image is obtained, the color features are extracted based on the color histogram, and the backlight sub-region is divided by using the condensed hierarchical clustering; in a second test period, the sub-region and the whole are powered on respectively, the RGB color features and the temperature difference of the two tests are extracted, the color feature difference and the temperature difference are calculated, and the heat dissipation index of each region is evaluated. The index can comprehensively reflect the heat dissipation performance of different regions, effectively guide the structure adjustment and production optimization of the backlight module, and improve the production test efficiency and performance evaluation accuracy.

[0142] ​In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other manners. The described device embodiments are merely illustrative. For example, the division of the units is only a logical function division. There can be another division manner for the actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling, or direct coupling or communication connection between the components can be indirect coupling or communication connection through some interfaces, devices, or units, and can be electrical, mechanical, or in other forms.

[0143] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units; they can be located in one place, or distributed on multiple network units; and some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0144] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0145] Those of ordinary skill in the art can understand that all or part of the steps of the above-described method embodiments can be completed by a program instructing related hardware, and the foregoing program can be stored in a computer readable storage medium, and when the program is executed, the steps of the method embodiments are executed; and the foregoing storage medium includes: mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks or optical disks, and various media that can store program codes.

[0146] Alternatively, the integrated units of the present application, if implemented in the form of software functional modules and sold or used as independent products, can also be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, and the computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. The foregoing storage medium includes: mobile storage devices, ROMs, RAMs, magnetic disks or optical disks, and various media that can store program codes.

[0147] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A method for evaluating the heat dissipation performance of a backlight, characterized in that, include: S101: During the first power-on cycle, a power-on test is performed on the backlight module, and infrared image data of the backlight module is acquired. S102: Divide the backlight module into multiple unit regions, preprocess the infrared image data, extract the color features of each unit region based on the color histogram, cluster the color features through agglomerative hierarchical clustering, and merge the unit regions based on the clustering data status to obtain multiple backlight sub-regions. S103: During the second power-on cycle, each backlight sub-region is individually powered on and tested, and the entire module is powered on. The color features of the backlight sub-regions from the individual power-on and overall module power-on tests are extracted and labeled as the first color feature and the second color feature, respectively. The temperature difference between the two tests is also recorded. S104: Calculate the color feature difference between the first color feature and the second color feature using the RGB three channels, and evaluate the first heat dissipation index of each backlight sub-region by combining the temperature difference. S105: Evaluate the heat dissipation performance of the backlight module and optimize module production by using the first heat dissipation index of each backlight sub-region; Specifically, S103 is as follows: During the second power-on cycle, each backlight sub-region is individually powered on and tested. The first infrared image of the individual power-on test is obtained by an infrared camera. The first infrared image is preprocessed and image features are extracted using a color histogram to obtain the first color feature, and the temperature value is recorded. The entire module was powered on and tested, and the overall color characteristics were obtained based on the color histogram. The temperature value of each backlight sub-region was recorded during the power-on test using an infrared camera. From the overall color features, the color features of each backlight sub-region are extracted to obtain the second color features; Specifically, S104 is as follows: The color feature differences of the RGB three channels are calculated based on the first color feature and the second color feature, and the difference degree of the three channels is averaged to obtain the color difference value. For each backlight sub-region, the temperature difference is calculated using two recorded temperature values, and the first heat dissipation index of each backlight sub-region is evaluated by combining the color difference value with the temperature difference.

2. The method for evaluating the heat dissipation performance of a backlight according to claim 1, characterized in that, Specifically, S101 is as follows: Set the first power-on cycle and perform a power-on test on the backlight module within the first power-on cycle; Infrared image data of the backlight module is acquired through an infrared camera device.

3. The method for evaluating the heat dissipation performance of a backlight according to claim 1, characterized in that, Specifically, S102 is as follows: Based on the area size of the backlight module, multiple unit areas are divided to ensure that each unit area has the same shape and size. The infrared image data is denoised and standardized preprocessed. For each unit area, the corresponding color histogram is calculated, and feature data is extracted based on the color histogram to obtain the color features of each unit area. By using agglomerative hierarchical clustering, the color features of each unit region are set as independent clusters. The distance between independent clusters is calculated using standard Euclidean distance, and the independent clusters are merged based on a distance threshold. The center point of each merged independent cluster is then recalculated. By setting a preset number of iterations, multiple independent clusters are generated through clustering. Based on the clustering data status, multiple unit regions are merged to obtain multiple backlight sub-regions.

4. The method for evaluating the heat dissipation performance of a backlight according to claim 1, characterized in that, Specifically, S105 is as follows: The heat dissipation performance distribution of the backlight module is evaluated by the first heat dissipation index of each backlight sub-region, the production quality distribution of the backlight module is determined, production anomaly assessment is performed for each backlight sub-region, and a production optimization plan for the backlight module is set.

5. A heat dissipation performance evaluation system for backlights, characterized in that, The system includes: a memory and a processor. The memory includes a heat dissipation performance evaluation program for a backlight. When the heat dissipation performance evaluation program for a backlight is executed by the processor, it implements the steps of the heat dissipation performance evaluation method for a backlight as described in claim 1.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a heat dissipation performance evaluation program for a backlight, which, when executed by a processor, implements the steps of the heat dissipation performance evaluation method for a backlight as described in any one of claims 1 to 4.

Images