Heat dissipation performance evaluation method and system for backlight source

Abstract

The invention discloses a heat dissipation performance evaluation method and system for a backlight source. The backlight module is powered on in a first test period, a module infrared image is obtained, color features are extracted based on a color histogram, and backlight sub-regions are divided by adopting agglomeration hierarchical clustering; in the second test period, the sub-regions and the whole are electrified respectively, RGB color features and temperature differences of two tests are extracted, color feature differences and temperature differences are calculated, the heat dissipation index of each region is evaluated, and the index can comprehensively reflect the heat dissipation performance of different regions and effectively guide the backlight module to carry out structure adjustment and production optimization; and the production test efficiency and the performance evaluation accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of display backlights, and more specifically, to a method and system for evaluating the heat dissipation performance of a backlight source. Background Art

[0002] With the development of displays, the power density of display backlight modules (such as Mini LED, Micro LED arrays, etc.) continues to increase, and their heat dissipation performance directly affects the light efficiency stability of the modules, the module life, and the backlight shift. In the analysis and testing of the heat dissipation performance of backlight modules, traditional technologies often follow a single test scheme, with a single screening process for products, making it difficult to accurately measure the heat dissipation performance and heat dissipation distribution of products, and it is difficult to achieve better adaptability for products of various specifications. There is a lack of technology for combining infrared images for heat dissipation distribution, and a lack of a more comprehensive and intelligent performance test scheme, which hinders the technological development of backlight modules. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and proposes a method and system for evaluating the heat dissipation performance of a backlight source.

[0004] In a first aspect of the present invention, a method for evaluating the heat dissipation performance of a backlight source is provided, including: S101: During a first power-on cycle, perform a power-on test on the backlight module and obtain infrared image data of the backlight module; S102: Based on the backlight module, divide it into multiple unit areas, preprocess the infrared image data, extract the color features of each unit area based on the color histogram, cluster the color features through the agglomerative hierarchical clustering form, and merge the unit areas based on the clustering data state to obtain multiple backlight sub-areas; S103: During a second power-on cycle, perform a separate power-on test on each backlight sub-area, perform a power-on test on the entire module, extract the color features of the backlight sub-areas from the two tests of separate power-on and overall module power-on, mark them as the first color feature and the second color feature respectively, and record the temperature difference between the two tests; S104: Calculate the color feature difference of the RGB three channels between the first color feature and the second color feature, and combine the temperature difference to evaluate the first heat dissipation index of each backlight sub-area; S105: Evaluate the heat dissipation performance of the backlight module and optimize the module production through the first heat dissipation index of each backlight sub-area.

[0005] In this solution, S101 is specifically: Set the first power-on cycle and perform a power-on test on the backlight module during the first power-on cycle; Obtain the infrared image data of the backlight module through an infrared imaging device.

[0006] In this solution, the S102 is specifically as follows: Based on the area size of the backlight module, divide it into multiple unit areas to ensure that the shape and size of each unit area are the same; Perform noise reduction and normalization preprocessing on the infrared image data. For each unit area, count the corresponding color histogram, and extract feature data based on the color histogram to obtain the color features of each unit area. By means of agglomerative hierarchical clustering, set the color features of each unit area as independent clusters, calculate the distance between independent clusters through the standard Euclidean distance, merge the independent clusters based on the distance threshold, and recalculate the center point of each independent cluster after merging. Through a preset number of iterations, cluster to generate multiple independent clusters, and based on the clustering data status, merge multiple unit areas to obtain multiple backlight sub-areas.

[0007] In this solution, the S103 is specifically as follows: In the second power-on cycle, perform a separate power-on test on each backlight sub-area, and through the infrared imaging device, obtain the first infrared image of the separate power-on test. Preprocess the first infrared image and extract image features through the color histogram to obtain the first color feature, and record the temperature value. Perform a power-on test on the overall module, obtain the overall color feature based on the color histogram, and based on the infrared imaging device, record the temperature value of each backlight sub-area during the power-on test. In the overall color feature, extract the color features of each backlight sub-area to obtain the second color feature.

[0008] In this solution, the S104 is specifically as follows: Calculate the color feature difference of the RGB three channels according to the first color feature and the second color feature, and equalize the difference degree of the three channels to obtain the color difference value. For each backlight sub-area, calculate the temperature difference through the two recorded temperature values, and evaluate the first heat dissipation index of each backlight sub-area through the color difference value and the temperature difference.

[0009] In this solution, the S105 is specifically as follows: Evaluate the heat dissipation performance distribution of the backlight module through the first heat dissipation index of each backlight sub-area, judge the production quality distribution of the backlight module, perform a production abnormality assessment on each backlight sub-area, and set the generation optimization plan of the backlight module.

[0010] In a second aspect of the present invention, there is also provided a heat dissipation performance evaluation system for a backlight source, the system comprising: a memory and a processor, wherein the memory includes a heat dissipation performance evaluation program for the backlight source, and when the heat dissipation performance evaluation program for the backlight source is executed by the processor, the following steps are implemented: S101: During a first power-on cycle, perform a power-on test on the backlight module and obtain infrared image data of the backlight module; S102: Divide a plurality of unit areas based on the backlight module, preprocess the infrared image data, extract the color features of each unit area based on the color histogram, perform clustering on the color features in the form of agglomerative hierarchical clustering, and merge the unit areas based on the clustering data state to obtain a plurality of backlight sub-areas; S103: During a second power-on cycle, perform a separate power-on test on each backlight sub-area, perform a power-on test on the overall module, extract the color features of the backlight sub-areas from the two tests of separate power-on and overall module power-on, respectively mark them as the first color feature and the second color feature, and record the temperature difference between the two tests; S104: Calculate the color feature differences of the first color feature and the second color feature in the RGB three channels, and combine with the temperature difference to evaluate the first heat dissipation index of each backlight sub-area; S105: Evaluate the heat dissipation performance of the backlight module and optimize the module production through the first heat dissipation index of each backlight sub-area.

[0011] In a third aspect of the present invention, there is also provided a computer-readable storage medium, wherein the computer-readable storage medium includes a heat dissipation performance evaluation program for a backlight source, and when the heat dissipation performance evaluation program for the backlight source is executed by a processor, the steps of the heat dissipation performance evaluation method for a backlight source as described in any one of the above are implemented.

[0012] The present invention discloses a heat dissipation performance evaluation method and system for a backlight source. During a first test cycle, the backlight module is powered on and the infrared image of the module is obtained. The color features are extracted based on the color histogram, and the backlight sub-areas are divided by using agglomerative hierarchical clustering; during a second test cycle, the sub-areas and the whole are powered on separately, 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 area is evaluated. This index can comprehensively reflect the heat dissipation performance of different areas and effectively guide the structural adjustment and production optimization of the backlight module, improving the production test efficiency and the accuracy of performance evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 Shows a flowchart of a heat dissipation performance evaluation method for a backlight source according to the present invention; Figure 2The block diagram of a heat dissipation performance evaluation system for a backlight source according to the present invention is shown. Detailed implementation manners

[0014] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific implementation manners. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.

[0015] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention may be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0016] Figure 1 The flowchart of a heat dissipation performance evaluation method for a backlight source according to the present invention is shown.

[0017] As Figure 1 shown, a first aspect of the present invention provides a heat dissipation performance evaluation method for a backlight source, including: S101: During the first power-on cycle, perform a power-on test on the backlight module, and obtain the infrared image data of the backlight module; S102: Based on the backlight module, divide it into multiple unit areas, preprocess the infrared image data, extract the color features of each unit area based on the color histogram, perform clustering on the color features in the form of agglomerative hierarchical clustering, and merge the unit areas based on the clustering data state to obtain multiple backlight sub-areas; S103: During the second power-on cycle, perform a separate power-on test on each backlight sub-area, perform a power-on test on the overall module, extract the color features of the backlight sub-areas in the two tests of separate power-on and overall module power-on, and mark them as the first color feature and the second color feature respectively, and record the temperature difference between the two tests; S104: Calculate the color feature difference of the RGB three channels between the first color feature and the second color feature, and combine the temperature difference to evaluate the first heat dissipation index of each backlight sub-area; S105: Evaluate the heat dissipation performance of the backlight module and optimize the module production through the first heat dissipation index of each backlight sub-area.

[0018] It should be noted that the backlight module is the backlight source module, and the overall area of the backlight source is used for the study of heat dissipation performance.

[0019] According to an embodiment of the present invention, the S101 is specifically: Set the first power-on cycle, and perform a power-on test on the backlight module during the first power-on cycle; Obtain the infrared image data of the backlight module through an infrared imaging device.

[0020] It should be noted that the infrared image data is used to analyze the temperature control change of the backlight module, and its corresponding color characteristics 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 relatively short time cycle, which is used to quickly evaluate and divide the overall heat dissipation of the module. The second power-on cycle is a relatively long cycle, and there are more measurement items, which is used to analyze the heat dissipation performance distribution in detail.

[0021] According to the embodiment of the present invention, the S102 is specifically as follows: Based on the area size of the backlight module, divide it into multiple unit areas to ensure that the shape and size of each unit area are the same; Perform noise reduction and normalization preprocessing on the infrared image data. For each unit area, count the corresponding color histogram, and extract feature data based on the color histogram to obtain the color characteristics of each unit area; By means of agglomerative hierarchical clustering, set the color characteristics of each unit area as independent clusters, calculate the distance between the independent clusters through the standard Euclidean distance, and merge the independent clusters based on the distance threshold, and recalculate the center point of each independent cluster after merging; Through a preset number of iterations, cluster to generate multiple independent clusters, and based on the clustering data status, merge multiple unit areas to obtain multiple backlight sub-areas.

[0022] It should be noted that the unit area can be divided in the form of a grid, such as dividing into 16×16 areas or 32×32 areas, etc., for refining the area to evaluate the heat dissipation performance. The color characteristics specifically include brightness and RGB three-channel color characteristic information. The distance threshold is set by the user. The larger this value is, the more clusters the clustering result has, and the clustering effect can be adjusted through the distance threshold. The color characteristics are calculated through the standard Euclidean distance after being converted into feature vectors.

[0023] According to the embodiment of the present invention, the S103 is specifically as follows: During the second power-on cycle, perform a separate power-on test on each backlight sub-area, and obtain the first infrared image of the separate power-on test through an infrared imaging device; Preprocess the first infrared image and extract image features through the color histogram to obtain the first color characteristics, and record the temperature value; Perform a power-on test on the overall module, obtain the overall color characteristics based on the color histogram, and record the temperature value of each backlight sub-area based on the infrared imaging device during the power-on test; Extract the color characteristics of each backlight sub-area from the overall color characteristics to obtain the second color characteristics.

[0024] It should be noted that the second power-on cycle includes multiple test time periods, which can be set to 2 to 10 hours and are used to measure the heat dissipation level of the backlight module after power-on. This time is used to simulate the actual usage time of the backlight module and corresponds to each test time period. The preprocessing includes noise reduction and normalization, etc. Each backlight sub-region corresponds to a first infrared image, that is, each backlight sub-region is tested separately, while the power-on test of the overall module only requires one measurement, and based on the corresponding overall infrared image, the color characteristics of each backlight sub-region are extracted. Each backlight sub-region includes a corresponding first color characteristic and a second color characteristic. The overall module is the overall backlight module. The temperature value is generally recorded as the central point temperature value of the corresponding region or the average temperature of randomly selected multiple points, and the temperature value can be obtained through an infrared imaging device or a temperature sensor. The infrared imaging device can perform infrared imaging on an object.

[0025] The smaller the color characteristic difference, the smaller the temperature control difference between the separate test and the integrity of the backlight sub-region, the better its heat dissipation performance, and the smaller the heat dissipation index. The temperature difference can also reflect the temperature control difference of the backlight sub-region to a certain extent. Therefore, weighted calculation is performed.

[0026] It is worth mentioning 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 conditions of a single backlight sub-region. Further, during the overall module test process, the heat dissipation and temperature control conditions of each backlight sub-region are extracted and compared with the heat dissipation and temperature control conditions of the separate test, so as to analyze the heat dissipation performance difference between the separate and overall operations in a sub-region (taking the separate sub-region as the analysis object for heat dissipation difference analysis). The present invention evaluates the heat dissipation difference through two levels of color characteristic difference and temperature difference, and at the same time 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, further optimizing the production process, adjusting abnormal regions, and improving the production quality.

[0027] According to the embodiment of the present invention, the S104 is specifically as follows: Calculate the color characteristic difference of the RGB three channels according to the first color characteristic and the second color characteristic, and equalize the difference degree of the three channels to obtain a color difference value; For each backlight sub-region, calculate the temperature difference through the temperature values recorded twice, and evaluate the first heat dissipation index of each backlight sub-region through the color difference value and the temperature difference.

[0028] It should be noted that in the calculation of the color characteristic difference of the three channels, the difference calculation is generally based on the color characteristic values of the RGB three channels, and the RGB three-channel values are generally in the range of 0-255.

[0029] The heat dissipation index is calculated as follows: ; Wherein, is the heat dissipation index, K1 and K2 are preset weight values, which can be respectively taken as 0.8 and 0.2. Generally, K1 > K2 here, is the color difference value, is the temperature difference, and both are calculated as positive values.

[0030] Both the first heat dissipation index and the second heat dissipation index are calculated by the above heat dissipation index formula.

[0031] According to the embodiment of the present invention, the S105 is specifically: Evaluate the heat dissipation performance distribution of the backlight module through the first heat dissipation index of each backlight sub-region, judge the production quality distribution of the backlight module, conduct production anomaly evaluation for each backlight sub-region, and set the generation optimization scheme of the backlight module.

[0032] It should be noted that the generation optimization scheme includes replacing the backlight module area corresponding to the abnormal backlight sub-region, replacing key materials, optimizing the parameters of the production process, etc. Through the analysis of the heat dissipation performance distribution, the quality and performance of the backlight module are effectively analyzed and optimized in production, greatly improving the production intelligence and automation level, reducing manual experience analysis, and effectively improving the overall production quality.

[0033] It is worth mentioning here that in the heat dissipation performance analysis and testing of the backlight module, traditional technologies often follow a single test scheme, and the product screening process is single, making it difficult to accurately measure the heat dissipation performance and heat dissipation distribution of the product, and it is difficult to achieve better adaptability for products of various specifications, lacking a comprehensive and highly intelligent performance test scheme.

[0034] Based on this, the present invention initially measures the backlight module, analyzes the performance of each region and divides the backlight sub-regions in the form of infrared images. Further, through separate testing and overall testing, color feature difference analysis is carried out on different sub-regions, combined with temperature difference information, the heat dissipation performance of each sub-region is evaluated, and further accurate analysis of the performance distribution of the backlight module is carried out, providing accurate and effective performance detection data for production, so as to accurately optimize the production and screening of the backlight module, and improve production efficiency and production quality.

[0035] According to the embodiment of the present invention, it further includes: After the second power-on cycle, take one backlight sub-region as the current sub-region; Obtain the adjacent backlight sub-regions of the current sub-region and mark them as adjacent sub-regions; Calculate the color feature differences of the RGB three channels between the first color feature of the current sub-region and the second color features of multiple adjacent sub-regions, and average the obtained multiple color difference values to obtain the average color difference value; Through temperature recording, calculate the temperature difference between the temperature value of the current sub-region in the individual power-on test and the corresponding temperature value of the adjacent sub-region during the power-on test of the overall module. Based on multiple adjacent sub-regions, calculate the average temperature difference; Evaluate the second heat dissipation index through the average color difference value and the average temperature difference, and based on the second heat dissipation index, evaluate the heat dissipation impact and heat dissipation performance distribution of each backlight sub-region.

[0036] It should be noted that there are generally multiple adjacent sub-regions. Adjacency means adjacent in the module space. Analyzing adjacent sub-regions can comprehensively analyze the heat dissipation impact of a certain backlight sub-region on the entire module, and can evaluate the heat dissipation importance of each backlight sub-region (analyzing the heat dissipation impact of a single sub-region on the entire module). In the calculation of the temperature difference between the temperature value of the current sub-region in the individual power-on test and the corresponding temperature value of the adjacent sub-region during the power-on test of the overall module, specifically, in the second power-on cycle, each time the backlight sub-region is individually tested, the corresponding first color feature and temperature value are recorded. During the power-on test of the overall module, through the overall test, the corresponding temperature values of different backlight sub-regions are respectively recorded. Therefore, there are two temperature recording values for each backlight sub-region. For each backlight sub-region, there are certain heat dissipation differences between the individual test and the overall module test.

[0037] In the obtaining of the average color difference value, specifically analyze by calculating the color difference degree between the first color feature of the current sub-region and the second color features of the adjacent sub-regions. Since there are generally multiple adjacent sub-regions, the multiple color difference degrees are averaged.

[0038] The second heat dissipation index mainly analyzes the heat dissipation impact between each backlight sub-region and adjacent sub-regions, and then analyzes the heat dissipation performance, focusing on analyzing the heat dissipation impact of a certain region on the nearby module region or the entire module.

[0039] If the average temperature difference is greater than 0, it means that the temperature value of the current sub-region in the individual power-on test is generally greater than the corresponding temperature values of multiple adjacent sub-regions during the power-on test of the overall module, indicating that the current sub-region has a better heat dissipation impact and a lower heat dissipation impact on the adjacent region. If the average temperature difference is less than 0, it means that the current sub-region has a certain negative heat dissipation impact on the adjacent sub-region. For the second heat dissipation index, a positive value represents a positive heat dissipation impact, and a negative value represents a negative heat dissipation impact. If the average temperature difference is less than 0, when calculating, the average color difference value is set to a negative value for calculation.

[0040] The second heat dissipation index has the same calculation method as the first heat dissipation index. In terms of parameters, the average color difference value is applied, the average temperature difference is applied, and the other parameters are the same.

[0041] According to the embodiments of the present invention, it further includes: During the second power-on cycle, an infrared image of the overall module power-on test is obtained and marked as the second infrared image; The second infrared image is grayscale processed, 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; After the backlight module is optimized in production, the overall module is subjected to a secondary power-on test to obtain a third infrared image; Based on the sobel operator, contour feature extraction is performed on the third infrared image to obtain the second contour feature; The first contour feature and the second contour feature are vectorized, and the distance between the two is calculated based on the standard Euclidean distance. Based on the comparison between the distance value and the preset distance, it is judged whether there is a change in heat dissipation performance.

[0042] It should be noted that by extracting the contour features of the infrared images of the backlight module before and after production optimization and based on the similarity analysis of the features, the present invention can quickly judge whether there is a certain heat dissipation performance optimization for the module. If the distance value is greater than the preset distance, it means that the contour feature difference is large 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 a non-conforming product, reducing the process of repeatedly measuring and analyzing the heat dissipation performance of each area, improving the efficiency of product performance analysis, and thus improving the production efficiency.

[0043] The sobel operator is calculated based on a 3x3 matrix, and the gradient of each pixel in the x direction is calculated through the matrix and the gradient in the y direction and the gradient amplitude is calculated for contour extraction, and the calculation is as follows: ; where G is the gradient amplitude, are the two gradients.

[0044] The formula for the standard Euclidean distance is: ; where L is the standard Euclidean distance, D is the dimension number of the vector, respectively represent the value of the i-th dimension of the first vector and the value of the i-th dimension of the second vector.

[0045] Figure 2 The block diagram of a heat dissipation performance evaluation system for a backlight source according to the present invention is shown.

[0046] In a second aspect of the present invention, a heat dissipation performance evaluation system 2 for a backlight source is further provided. The system includes: a memory 21 and a processor 22. The memory 21 includes a heat dissipation performance evaluation program for the backlight source. When the heat dissipation performance evaluation program for the backlight source is executed by the processor 22, the following steps are implemented: S101: During a first power-on cycle, perform a power-on test on the backlight module and obtain infrared image data of the backlight module; S102: Divide a plurality of unit areas based on the backlight module, preprocess the infrared image data, extract the color features of each unit area based on the color histogram, perform clustering on the color features in the form of agglomerative hierarchical clustering, and merge the unit areas based on the clustering data state to obtain a plurality of backlight sub-areas; S103: During a second power-on cycle, perform a separate power-on test on each backlight sub-area, perform a power-on test on the overall module, extract the color features of the backlight sub-areas in the two tests of separate power-on and overall module power-on, and mark them as the first color feature and the second color feature respectively, and record the temperature difference between the two tests; S104: Calculate the color feature difference of the RGB three channels between the first color feature and the second color feature, and combine the temperature difference to evaluate the first heat dissipation index of each backlight sub-area; S105: Evaluate the heat dissipation performance of the backlight module and optimize the module production through the first heat dissipation index of each backlight sub-area.

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

[0048] According to an embodiment of the present invention, the S101 is specifically: Set the first power-on cycle and perform a power-on test on the backlight module during the first power-on cycle; Obtain the infrared image data of the backlight module through an infrared imaging device.

[0049] It should be noted that the infrared image data is used to analyze the temperature control change of the backlight module, and its corresponding color features effectively record the temperature change information. The power-on test during the first power-on cycle is a test of the overall backlight module. The first power-on cycle is a relatively short time cycle, which is used to quickly evaluate the overall heat dissipation of the module and divide the area. The second power-on cycle is a relatively long cycle and has more measurement items, which is used to analyze the heat dissipation performance distribution in detail.

[0050] According to an embodiment of the present invention, the S102 is specifically: Based on the area size of the backlight module, multiple unit areas are divided to ensure that the shape and size of each unit area are the same; The infrared image data is preprocessed by denoising and standardization. For each unit area, the corresponding color histogram is statistically calculated, and feature data is extracted based on the color histogram to obtain the color features of each unit area; By means of agglomerative hierarchical clustering, the color features of each unit area are set as independent clusters. 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; Through a preset number of iterations, multiple independent clusters are generated by clustering. Based on the clustering data status, multiple unit areas are merged to obtain multiple backlight sub-areas.

[0051] It should be noted that the unit area can be divided in the form of a grid, such as dividing into 16×16 areas or 32×32 areas, etc., for refining the area to evaluate the heat dissipation performance. The color features specifically include the brightness and RGB three-channel color feature information. The distance threshold is set by the user. The larger this value is, the more clusters the clustering result has, and the clustering effect can be adjusted through the distance threshold. The color features are calculated by the standard Euclidean distance after being converted into feature vectors.

[0052] According to the embodiment of the present invention, the S103 is specifically: In the second power-on cycle, each backlight sub-area is tested by being powered on separately, and the first infrared image of the separate power-on test is obtained through an infrared imaging device; The first infrared image is preprocessed and image features are extracted through the color histogram to obtain the first color features, and the temperature value is recorded; The overall module is tested by being powered on, and the overall color features are obtained based on the color histogram. Based on the infrared imaging device, the temperature value of each backlight sub-area is recorded during the power-on test; In the overall color features, the color features of each backlight sub-area are extracted to obtain the second color features.

[0053] It should be noted that the second power-on cycle includes multiple test time periods, which can be set to 2 to 10 hours and are used to measure the heat dissipation level of the backlight module after power-on. This time is used to simulate the actual usage time of the backlight module, corresponding to each test time period. The preprocessing includes noise reduction and normalization, etc. Each backlight sub-region corresponds to a first infrared image, that is, each backlight sub-region is tested separately, while the power-on test of the overall module only requires one measurement, and based on the corresponding overall infrared image, the color characteristics of each backlight sub-region are extracted. Each backlight sub-region includes a corresponding first color characteristic and a second color characteristic. The overall module is the overall backlight module. The recorded temperature value is generally represented by the central point temperature value of the corresponding region or the average temperature of randomly selected multiple points, and the temperature value can be obtained through an infrared imaging device or a temperature sensor. The infrared imaging device can perform infrared imaging on an object.

[0054] The smaller the color characteristic difference, the smaller the temperature control difference between the separate test and the integrity of the backlight sub-region, the better its heat dissipation performance, the smaller the heat dissipation index, and the temperature difference can also reflect the temperature control difference of the backlight sub-region to a certain extent. Therefore, weighted calculation is performed.

[0055] 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 a single backlight sub-region. Further, during the overall module test, the heat dissipation and temperature control conditions of each backlight sub-region are extracted and compared with the heat dissipation and temperature control conditions of the separate test, and the heat dissipation performance difference between the separate and overall operations in a sub-region can be analyzed (taking the separate sub-region as the analysis object for heat dissipation difference analysis). The present invention evaluates the heat dissipation difference through two levels of color characteristic 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, further optimizing the production process, adjusting abnormal regions, and improving production quality.

[0056] According to the embodiment of the present invention, the S104 is specifically as follows: Calculate the color characteristic difference of the RGB three channels according to the first color characteristic and the second color characteristic, and equalize the difference degree of the three channels to obtain the color difference value; For each backlight sub-region, calculate the temperature difference through the temperature values recorded twice, and evaluate the first heat dissipation index of each backlight sub-region through the color difference value and the temperature difference.

[0057] It should be noted that in the calculation of the color characteristic difference of the three channels, the difference calculation is generally based on the color characteristic values of the RGB three channels, and the RGB three-channel values are generally in the range of 0-255.

[0058] The heat dissipation index is calculated as follows: ; wherein, is the heat dissipation index, K1 and K2 are preset weight values, which can be respectively taken as 0.8 and 0.2. Generally, K1 > K2 here, is the color difference value, is the temperature difference, and all are calculated as positive values.

[0059] Both the first heat dissipation index and the second heat dissipation index are calculated by the above heat dissipation index formula.

[0060] According to the embodiment of the present invention, the S105 is specifically: Evaluate the heat dissipation performance distribution of the backlight module through the first heat dissipation index of each backlight sub-region, judge the production quality distribution of the backlight module, conduct production abnormality evaluation for each backlight sub-region, and set the generation optimization scheme of the backlight module.

[0061] It should be noted that the generation optimization scheme includes replacing the backlight module area corresponding to the abnormal backlight sub-region, replacing key materials, optimizing the parameters of the production process, etc. Through the analysis of the heat dissipation performance distribution, the quality and performance of the backlight module are effectively analyzed and optimized in production, greatly improving the production intelligence and automation level, reducing the manual experience analysis, and effectively improving the overall production quality.

[0062] The third aspect of the present invention also provides a computer-readable storage medium, which includes a heat dissipation performance evaluation program for the backlight source. When the heat dissipation performance evaluation program for the backlight source is executed by a processor, the steps of the heat dissipation performance evaluation method for the backlight source as described in any one of the above are implemented.

[0063] The present invention discloses a heat dissipation performance evaluation method and system for a backlight source. In the first test cycle, the backlight module is powered on and the infrared image of the module is obtained. The color features are extracted based on the color histogram, and the backlight sub-regions are divided by using agglomerative hierarchical clustering; in the second test cycle, the sub-regions and the whole are respectively powered on, 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. This index can comprehensively reflect the heat dissipation performance of different regions and effectively guide the structural adjustment and production optimization of the backlight module, improving the production test efficiency and the accuracy of performance evaluation.

[0064] In several embodiments provided by this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces. The indirect coupling or communication connection of devices or units can be electrical, mechanical, or other forms.

[0065] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0066] In addition, each functional unit in the embodiments of the present invention can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional units.

[0067] Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0068] Alternatively, if the above integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions to enable 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 various embodiments of the present invention. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, ROM, RAM, magnetic disks, or optical discs.

[0069] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention.

Claims

1. A method for evaluating the heat dissipation performance of a backlight, characterized in that, Including: S101: During the first power-on cycle, perform a power-on test on the backlight module and obtain infrared image data of the backlight module; S102: Based on the backlight module, divide it into multiple unit areas, preprocess the infrared image data, extract the color features of each unit area based on the color histogram, cluster the color features through the agglomerative hierarchical clustering method, and merge the unit areas based on the clustering data status to obtain multiple backlight sub-areas; S103: During the second power-on cycle, perform a separate power-on test on each backlight sub-area, perform a power-on test on the overall module, extract the color features of the backlight sub-areas from the two tests of separate power-on and overall module power-on, mark them as the first color feature and the second color feature respectively, and record the temperature difference between the two tests; S104: Calculate the color feature difference of the RGB three channels between the first color feature and the second color feature, and combine the temperature difference to evaluate the first heat dissipation index of each backlight sub-area; S105: Evaluate the heat dissipation performance of the backlight module and optimize the module production through the first heat dissipation index of each backlight sub-area.

2. The heat dissipation performance evaluation method for a backlight according to claim 1, characterized in that The S101 is specifically: Set the first power-on cycle and perform a power-on test on the backlight module during the first power-on cycle; Through an infrared imaging device, obtain the infrared image data of the backlight module.

3. A heat dissipation performance evaluation method for a backlight according to claim 1, characterized in that, The S102 is specifically: Based on the area size of the backlight module, divide it into multiple unit areas to ensure that the shape and size of each unit area are the same; Perform noise reduction and normalization preprocessing on the infrared image data. For each unit area, count the corresponding color histogram and extract the feature data based on the color histogram to obtain the color features of each unit area; Through the agglomerative hierarchical clustering method, set the color features of each unit area as independent clusters, calculate the distance between the independent clusters through the standard Euclidean distance, and merge the independent clusters based on the distance threshold, and recalculate the center point of each merged independent cluster; Through a preset number of iterations, cluster to generate multiple independent clusters, and based on the clustering data status, merge multiple unit areas to obtain multiple backlight sub-areas.

4. The heat dissipation performance evaluation method for a backlight source according to claim 1, characterized in that The S103 is specifically: During the second power-on cycle, perform a separate power-on test on each backlight sub-area, and through an infrared imaging device, obtain the first infrared image of the separate power-on test; Preprocess the first infrared image and extract the image features through the color histogram to obtain the first color feature and record the temperature value; Perform a power-on test on the overall module, obtain the overall color features based on the color histogram, and based on the infrared imaging device, record the temperature value of each backlight sub-area during the power-on test; In the overall color features, extract the color features of each backlight sub-area to obtain the second color feature.

5. The heat dissipation performance evaluation method for a backlight according to claim 4, characterized in that, The S104 is specifically: Calculate the color feature difference of the RGB three channels according to the first color feature and the second color feature, and equalize the difference degree of the three channels to obtain the color difference value; For each backlight sub-area, calculate the temperature difference through the two recorded temperature values, and evaluate the first heat dissipation index of each backlight sub-area through the color difference value and the temperature difference.

6. A heat dissipation performance evaluation method for a backlight according to claim 1, characterized in that, The S105 specifically includes: Evaluating the heat dissipation performance distribution of the backlight module through the first heat dissipation index of each backlight sub-region, judging the production quality distribution of the backlight module, evaluating production anomalies for each backlight sub-region, and setting an optimization plan for the generation of the backlight module.

7. A heat dissipation performance evaluation system for a backlight, characterized in that, The system includes: a memory and a processor. The memory includes a heat dissipation performance evaluation program for the backlight source. When the heat dissipation performance evaluation program for the backlight source is executed by the processor, the following steps are implemented: S101: During the first power-on cycle, perform a power-on test on the backlight module and obtain the infrared image data of the backlight module. S102: Based on the backlight module, divide it 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 the agglomerative hierarchical clustering form, and merge the unit regions based on the clustering data state to obtain multiple backlight sub-regions. S103: During the second power-on cycle, perform a separate power-on test on each backlight sub-region, perform a power-on test on the overall module, extract the color features of the backlight sub-region for the two tests of separate power-on and overall module power-on, and mark them as the first color feature and the second color feature respectively, and record the temperature difference between the two tests. S104: Calculate the color feature differences of the first color feature and the second color feature in the RGB three channels, and combine the temperature difference to evaluate the first heat dissipation index of each backlight sub-region. S105: Evaluate the heat dissipation performance of the backlight module and optimize the module production through the first heat dissipation index of each backlight sub-region.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a heat dissipation performance evaluation program for the backlight source. When the heat dissipation performance evaluation program for the backlight source is executed by the processor, the steps of the heat dissipation performance evaluation method for the backlight source described in any one of claims 1 to 6 are implemented.

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