Display effect testing method based on quantum dot diffusion plate

Abstract

The invention discloses a display effect testing method based on a quantum dot diffusion plate, and relates to the technical field of electric digital data processing. The display effect testing method based on the quantum dot diffusion plate comprises the following steps: S1, testing the stability of the quantum dot diffusion plate; s2, performing display test on the quantum dot diffusion plate; according to the quantum dot diffusion plate display evaluation method, the stability test data of the quantum dot diffusion plate are measured through the stability test equipment, so that the stability level of the quantum dot diffusion plate is obtained; meanwhile, the display effect evaluation index of the quantum dot diffusion plate is obtained by comparing the second feature data sequence obtained by preprocessing the first feature data sequence obtained by the display effect test with the preset standard data sequence, so that the accuracy of the display test result of the quantum dot diffusion plate is improved; the problem that the test result displayed by the quantum dot diffusion plate is inaccurate in the prior art is solved.

Description

[0001] This case is a divisional application of the parent case with application date of August 16, 2024, application number 202411124318.0, and invention name “A display effect testing method and system based on quantum dot diffusion plate”. Technical Field

[0002] The present invention relates to the technical field of electrical digital data processing, and in particular to a display effect testing method and system based on a quantum dot diffusion plate. Background Art

[0003] In recent years, quantum dot technology has received widespread attention and application due to its advantages in color performance. Quantum dots are tiny particles with semiconductor properties, with a diameter between 2 and 10 nanometers. By adjusting the size of quantum dots, the color of the light they emit can be precisely controlled, thereby achieving high color saturation and more accurate color gamut coverage. The introduction of quantum dot technology in liquid crystal displays, especially through quantum dot diffusion plates, which are particle scattering diffusion plates that have the functions of color conversion and light homogenization, can significantly improve the color performance of the display, making the displayed colors more vivid and realistic.

[0004] The existing system obtains the evaluation index of the display effect of the final quantum dot diffuser by comparing the half-peak width and brightness value of the quantum dot diffuser with the preset standard data, thereby evaluating the actual display effect of the quantum dot diffuser.

[0005] For example, the patent application with publication number CN118069098A discloses a quantum random number generator and method based on quantum dot light sampling, including: an entropy source, a sampling module, a detection module and a post-processing module; wherein the entropy source includes a quantum dot superluminescent diode for emitting signal light; the sampling module includes a mode-locked laser, an erbium-doped fiber amplifier, a wavelength division multiplexer, a first wavelength division multiplexer, a second wavelength division multiplexer and a quantum dot semiconductor optical amplifier. The present invention also discloses a quantum random number generation method based on quantum dot light sampling, and a quantum random number generator based on quantum dot light sampling is implemented.

[0006] For example, the invention patent with announcement number CN116774970B discloses an ID generation method and device based on quantum random numbers, including: configuring quantum random number generation parameters, bit width N, and total data quantity T; a quantum random number generator generates quantum random parameters based on the quantum random number generation parameters, and uses the quantum random parameters as candidate quantum random IDs; and detecting whether the candidate quantum random ID is repeated with the quantum random ID. If the detection result is yes, the repeated candidate quantum random ID is discarded; if the detection result is no, the candidate quantum random ID is used as the quantum random ID.

[0007] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0008] In the prior art, the quantum dot diffusion plate may suffer from reduced stability due to a high temperature environment and reduced performance due to a high humidity environment, and there is a problem that the quantum dot diffusion plate may display inaccurate test results. Summary of the invention

[0009] The embodiments of the present application provide a display effect testing method and system based on a quantum dot diffuser plate, thereby solving the problem of inaccurate display test results of quantum dot diffuser plates in the prior art and improving the accuracy of display test results of quantum dot diffuser plates.

[0010] The embodiment of the present application provides a display effect test method based on a quantum dot diffusion plate, comprising the following steps: S1, measuring the stability test data of the quantum dot diffusion plate by a stability test device, and judging whether the quantum dot diffusion plate is qualified according to the stability abnormality index of the quantum dot diffusion plate obtained by comparing the stability test data with a preset threshold value. If the quantum dot diffusion plate is qualified, continue to perform the display effect test, otherwise feedback an analysis report; S2, obtaining the half-peak width of the quantum dot diffusion plate from the luminescence spectrum curve obtained by spectrally scanning the quantum dot diffusion plate with a spectrometer, and measuring the brightness value of the quantum dot diffusion plate with a brightness meter; S3, sequentially combining the collected half-peak width and brightness value of the quantum dot diffusion plate to obtain a first characteristic data sequence, and comparing the second characteristic data sequence obtained by preprocessing the first characteristic data sequence with the preset standard data sequence to obtain a display effect evaluation index of the quantum dot diffusion plate.

[0011] Furthermore, the stability test data includes a chromaticity mean and a color temperature mean; the chromaticity mean represents the mean value of the chromaticity of the quantum dot diffuser plate measured using a colorimeter within a set stability detection time interval; the color temperature mean represents the mean value of the color temperature of the quantum dot diffuser plate measured using a colorimeter within a set stability detection time interval.

[0012] Furthermore, the specific steps for obtaining the stability anomaly index of the quantum dot diffusion plate are as follows:

[0013] The chromaticity mean and the color temperature mean are sequentially arranged to obtain a color coordinate data sequence, the preset thresholds are sequentially arranged to obtain a preset threshold sequence, and a quantum dot diffusion plate stability abnormality index is obtained by performing a comparison check between the obtained color coordinate data sequence and the preset threshold sequence;

[0014] The quantum dot diffusion plate stability anomaly index is calculated using the following formula:

[0015]

[0016] Where R is the stability anomaly index of the quantum dot diffusion plate, i is the number of the data element in the color coordinate data sequence, i = 1, 2…, N, N is the total number of data elements in the color coordinate data sequence, X i is the i-th data element in the color coordinate data sequence, Y i is the i-th data element in the preset threshold sequence, and e represents a natural constant.

[0017] Furthermore, the specific process of judging whether the quantum dot diffusion plate is qualified is as follows: a stability threshold is obtained through a quantum dot diffusion plate stability anomaly index, and the stability of the quantum dot diffusion plate is graded according to the stability threshold to obtain a stability grade, wherein the stability grades include excellent, good, qualified and unqualified.

[0018] Furthermore, the specific process of the feedback analysis report is as follows: according to the analysis report, the relevant test data of each quantum dot diffusion plate stability test and the analysis and comparison results of the preset threshold are recorded, and the stability difference analysis of the quantum dot diffusion plate is presented through a drawn visualization graph, wherein the relevant test data include the chromaticity and color temperature of the quantum dot diffusion plate, and the visualization graph includes a line graph and a bar graph.

[0019] Furthermore, the specific steps of obtaining the half-peak width of the quantum dot diffusion plate from the luminescence spectrum curve obtained by spectrally scanning the quantum dot diffusion plate through a spectrometer are as follows: the luminescence spectrum curve is obtained by scanning the quantum dot diffusion plate with a spectrometer; the half-peak width is obtained by measuring the half-height point of the peak and the wavelength range between the two half-height points according to the luminescence spectrum curve, and the quantum dot diffusion plate is placed in the monitoring area of ​​a calibrated and working spectrometer.

[0020] Furthermore, the specific steps for calculating the brightness value of the quantum dot diffuser plate are as follows: the light-emitting surface of the quantum dot diffuser plate is divided into nine areas of equal area according to the nine-point method, and a test point is obtained, wherein the test point is the center point of each area; at the test point, the brightness value of each area of ​​the light-emitting surface of the quantum dot diffuser plate is measured by a brightness meter, and the brightness average value and the brightness standard value are obtained according to the brightness values ​​of all the test points, thereby obtaining the brightness value of the quantum dot diffuser plate, and the brightness value of the quantum dot diffuser plate is the ratio of the brightness average value to the brightness standard value.

[0021] Furthermore, the specific steps of the preprocessing are as follows: identifying outliers of the first feature data sequence through the Z score in the statistical analysis method, and obtaining a deduplicated first feature data sequence after removing the outliers; denoising the deduplicated first feature data sequence through mean filtering, and outputting the denoised data to obtain the second feature data sequence.

[0022] Furthermore, the display effect evaluation index of the quantum dot diffusion plate is calculated using the following formula:

[0023]

[0024] Where y is the number of the quantum dot diffusion plate, y = 1, 2..., Y, Y is the total number of quantum dot diffusion plates, S y The display effect evaluation index of the y-th quantum dot diffusion plate, q is the data element number in the second characteristic data sequence and the preset standard data sequence, q=1,2…,Q, Q is the total number of data elements in the second characteristic data sequence and the preset standard data sequence, is the qth data element of the second characteristic data sequence of the yth quantum dot diffusion plate, J (q) It is the qth data element in the preset standard data sequence.

[0025] The embodiment of the present application provides a display effect test system based on a quantum dot diffusion plate, including: a quantum dot diffusion plate stability test module, a quantum dot diffusion plate display test module and a quantum dot diffusion plate display evaluation module; wherein the quantum dot diffusion plate stability test module is used to measure the stability test data of the quantum dot diffusion plate through a stability test device, and judge whether the quantum dot diffusion plate is qualified according to the quantum dot diffusion plate stability abnormality index obtained by comparing the stability test data with a preset threshold value, if the quantum dot diffusion plate is qualified, continue to perform the display effect test, otherwise feedback the analysis report; the quantum dot diffusion plate display test module is used to obtain the half-peak width of the quantum dot diffusion plate through a luminescence spectrum curve obtained by spectrally scanning the quantum dot diffusion plate with a spectrometer, and at the same time measure the brightness value of the quantum dot diffusion plate through a brightness meter; the quantum dot diffusion plate display evaluation module is used to sequentially combine the collected half-peak width and brightness value of the quantum dot diffusion plate to obtain a first characteristic data sequence, and compare the second characteristic data sequence obtained by preprocessing the first characteristic data sequence with the preset standard data sequence to obtain the display effect evaluation index of the quantum dot diffusion plate, and the display effect evaluation index is used to evaluate the display effect of the quantum dot diffusion plate.

[0026] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0027] 1. The stability test data of the quantum dot diffusion plate is measured by the stability test equipment, and the stability abnormality index of the quantum dot diffusion plate obtained by comparing the stability test data with the preset threshold is used to judge whether the quantum dot diffusion plate is qualified, thereby improving the stability of the quantum dot diffusion plate itself, and then the accuracy of the test results displayed by the quantum dot diffusion plate is improved, which effectively solves the problem of inaccurate test results displayed by the quantum dot diffusion plate in the prior art.

[0028] 2. The stability threshold is obtained through the stability anomaly index of the quantum dot diffuser plate. The stability of the quantum dot diffuser plate is graded according to the stability threshold to obtain the stability grade, thereby accurately determining the grade of the quantum dot diffuser plate and achieving a more accurate description of the stability of the quantum dot diffuser plate.

[0029] 3. By preprocessing the first feature data sequence, outliers and noise in the first feature data sequence are removed, thereby improving the data quality of the second feature data sequence, thereby achieving improved accuracy of the quantum dot diffuser display evaluation index. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A flow chart of a display effect testing method based on a quantum dot diffusion plate provided in an embodiment of the present application;

[0031] Figure 2 A display effect index diagram of the quantum dot diffusion plate provided in an embodiment of the present application;

[0032] Figure 3 A schematic structural diagram of a display effect testing system based on a quantum dot diffusion plate provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The embodiment of the present application solves the problem of inaccurate display test results of quantum dot diffusion plates in the prior art by providing a display effect testing method and system based on a quantum dot diffusion plate. The stability test data of the quantum dot diffusion plate is measured by a stability testing device to obtain the stability level of the quantum dot diffusion plate. At the same time, a second characteristic data sequence obtained by preprocessing a first characteristic data sequence obtained from the display effect test is compared with a preset standard data sequence to obtain a display effect evaluation index of the quantum dot diffusion plate, thereby improving the accuracy of the display test results of the quantum dot diffusion plate.

[0034] The technical solution in the embodiment of the present application is to solve the problem of inaccurate test results displayed by the above-mentioned quantum dot diffusion plate, and the overall idea is as follows:

[0035] The stability test data of the quantum dot diffusion plate is measured by a stability test device, and the quantum dot diffusion plate stability anomaly index obtained by comparing the stability test data with a preset threshold is used to determine whether the quantum dot diffusion plate is qualified, thereby achieving the effect of improving the accuracy of the results of the quantum dot diffusion plate display test.

[0036] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0037] like Figure 1As shown, it is a flow chart of a display effect testing method based on a quantum dot diffusion plate provided in an embodiment of the present application, and the method includes the following steps: S1, measuring the stability test data of the quantum dot diffusion plate by a stability testing device, and judging whether the quantum dot diffusion plate is qualified according to the stability abnormality index of the quantum dot diffusion plate obtained by comparing the stability test data with a preset threshold value, if the quantum dot diffusion plate is qualified, continuing the display effect test, otherwise feedback analysis report; S2, obtaining the half-peak width of the quantum dot diffusion plate by a luminescence spectrum curve obtained by spectrally scanning the quantum dot diffusion plate with a spectrometer, and measuring the brightness value of the quantum dot diffusion plate by a brightness meter; S3, sequentially combining the collected half-peak width and brightness value of the quantum dot diffusion plate to obtain a first characteristic data sequence, and comparing the second characteristic data sequence obtained by preprocessing the first characteristic data sequence with the preset standard data sequence to obtain the display effect evaluation index of the quantum dot diffusion plate; the display effect evaluation index is used to evaluate the display effect of the quantum dot diffusion plate.

[0038] In this embodiment, the preset threshold is the minimum stable value of the quantum dot diffuser plate in a high temperature and high humidity environment, which helps to ensure the stability and reliability of the quantum dot diffuser plate in extreme environments such as high temperature and high humidity. By obtaining the preset threshold in a high temperature and high humidity environment with a temperature exceeding 40°C and a relative humidity exceeding 60%, the quantum dot diffuser plate is ensured to reduce the possibility of environmental factors causing a decrease in quantum dot stability in the display effect test, thereby improving the accuracy of the display results of the quantum dot diffuser plate in the display effect test.

[0039] Furthermore, the stability test data includes chromaticity mean and color temperature mean; the chromaticity mean represents the mean value of the chromaticity of the quantum dot diffuser plate measured using a colorimeter within a set stability detection time interval; the color temperature mean represents the mean value of the color temperature of the quantum dot diffuser plate measured using a colorimeter within a set stability detection time interval.

[0040] In this embodiment, the quantum dot diffuser plate is measured by a colorimeter in a stability testing device to obtain the chromaticity value and color temperature value of the quantum dot diffuser plate, the chromaticity value and color temperature value at different time points within a set stability detection time interval are accumulated, and the average value of the accumulated value is calculated to obtain the chromaticity mean and the color temperature mean. The set stability monitoring time interval is used to measure the changes in the chromaticity value and the color temperature value of the quantum dot diffuser plate within each hour. Comparing the changes in the chromaticity mean and the color temperature mean within different set stability monitoring time intervals can intuitively reflect the fluctuation of the color performance of the diffuser plate within the set stability detection time interval.

[0041] Furthermore, the specific steps for obtaining the quantum dot diffuser plate stability anomaly index are as follows: arranging the chromaticity mean and the color temperature mean in sequence to obtain a color coordinate data sequence, arranging the preset thresholds in sequence to obtain a preset threshold sequence, and performing a comparison check between the obtained color coordinate data sequence and the preset threshold sequence to obtain the quantum dot diffuser plate stability anomaly index;

[0042] The stability anomaly index of the quantum dot diffusion plate is calculated using the following formula:

[0043]

[0044] Where R is the stability anomaly index of the quantum dot diffusion plate, i is the number of the data element in the color coordinate data sequence, i = 1, 2…, N, N is the total number of data elements in the color coordinate data sequence, X i is the i-th data element in the color coordinate data sequence, Y i is the i-th data element in the preset threshold sequence, and e represents a natural constant.

[0045] In this embodiment, the quantum dot diffusion plate stability anomaly index R reflects the independent variable X i and Y i The relative change degree between them defines the comparison checksum G between the color coordinate data sequence of the quantum dot diffusion plate and the preset threshold sequence. Reflects the independent variable X i and Y i The relative degree of change between them, assuming N = 1, the statistical table of the abnormal index of the stability of the quantum dot diffusion plate is shown in Table 1:

[0046] Table 1 Statistics of abnormal stability index of quantum dot diffusion plate

[0047]

[0048] As can be seen from Table 1, the quantum dot diffusion plate stability anomaly index of the first group of data is the lowest, indicating that the stability of this group of quantum dot diffusion plates is high, and the quantum dot diffusion plate stability anomaly index of the fifth group of data is the highest, indicating that the stability of this group of quantum dot diffusion plates is poor. It can be seen from the table that the smaller the difference between the color coordinate data sequence of the quantum dot diffusion plate and the preset threshold sequence, the lower the quantum dot diffusion plate stability anomaly index; it should be understood that the chromaticity and color temperature performance of the quantum dot diffusion plate will affect the stability of the quantum dot diffusion plate. The closer the chromaticity mean and the color temperature mean are to the preset threshold, the higher the stability of the quantum dot diffusion plate, and the lower the quantum dot diffusion plate stability anomaly index will be; the quantum dot diffusion plate stability anomaly index R is the result of comparing and verifying the color coordinate data sequence and the preset threshold sequence at the set stability detection time interval in a high temperature and high humidity environment, which can capture the changes in the stability of the quantum dot diffusion plate within the entire set stability detection time interval, which is helpful for the accuracy of the data analysis results in data processing, and then the quantum dot diffusion plate stability anomaly index is accurately obtained through comprehensive analysis.

[0049] Furthermore, the specific process for judging whether the quantum dot diffusion plate is qualified is as follows: the stability threshold is obtained by the quantum dot diffusion plate stability anomaly index, and the stability of the quantum dot diffusion plate is graded according to the stability threshold to obtain the stability grade, and the stability grades include excellent, good, qualified and unqualified.

[0050] In this embodiment, the stability threshold is the comparison checksum G of the quantum dot diffusion plate color coordinate data sequence and the preset threshold sequence. The stability level classification table is shown in Table 2:

[0051] Table 2 Stability classification table

[0052]

[0053] Furthermore, the specific process of the feedback analysis report is as follows: record the relevant test data of each quantum dot diffusion plate stability test and the analysis and comparison results of the preset threshold value according to the analysis report, and show the stability difference analysis of the quantum dot diffusion plate through the drawn visualization graph. The relevant test data include the chromaticity and color temperature of the quantum dot diffusion plate, and the visualization graph includes a line graph and a bar graph.

[0054] In this embodiment, a line graph is used to display the chromaticity change trend of the quantum dot diffusion plate, marking the preset qualified threshold value, the horizontal axis represents time, and the vertical axis represents the chromaticity parameter; the bar graph is used to compare the changes in color temperature of the quantum dot diffusion plate in a high humidity and high temperature environment over time, the horizontal axis represents different time periods, and the vertical axis is used to represent the color temperature value. The chromaticity change trend is intuitively displayed through the line graph, and the bar graph shows the difference in color temperature changes, so as to have a more comprehensive understanding of the stability difference change trend of the quantum dot diffusion plate.

[0055] Furthermore, the specific steps of obtaining the half-peak width of the quantum dot diffusion plate by using the luminescence spectrum curve obtained by spectrally scanning the quantum dot diffusion plate with a spectrometer are as follows: the luminescence spectrum curve is obtained by scanning the quantum dot diffusion plate with a spectrometer; the half-peak width is obtained by measuring the half-height point of the peak and the wavelength range between the two half-height points according to the luminescence spectrum curve, and the quantum dot diffusion plate is placed in the monitoring area of ​​a calibrated and working spectrometer.

[0056] In this embodiment, the maximum luminous intensity point, i.e., the peak point, is found according to the maximum luminous intensity value on the luminous spectrum curve and the corresponding wavelength. Starting from the peak point, the luminous spectrum curve is traversed to both sides to the point where the luminous intensity is half of the peak value. These two points are the half-peak points. The wavelength difference between the two half-peak points is measured to obtain the half-peak width of the quantum dot diffusion plate; the luminous spectrum curve is used to determine the luminous intensity level of the quantum dot diffusion plate at different wavelengths; the half-height point is the wavelength point where the peak height of the luminous spectrum curve drops to half the peak height, and the half-peak width is used to measure the purity of the luminous color of the quantum dot. By measuring the luminous spectrum curve of the quantum dot diffusion plate, its luminous characteristics are understood, the accuracy and purity of the luminous color of the quantum dot diffusion plate are evaluated, and the accuracy of the display effect evaluation index of the quantum dot diffusion plate is improved.

[0057] Furthermore, the specific steps for calculating the brightness value of the quantum dot diffuser plate are as follows: according to the nine-point method, the light-emitting surface of the quantum dot diffuser plate is divided into 9 areas of equal area, and a test point is obtained, which is the center point of each area; at the test point, the brightness value of each area of ​​the light-emitting surface of the quantum dot diffuser plate is measured by a brightness meter, and the brightness average value and the brightness standard value are obtained according to the brightness values ​​of all the test points, thereby obtaining the brightness value of the quantum dot diffuser plate, which is the ratio of the brightness average value to the brightness standard value.

[0058] In this embodiment, the brightness values ​​of all test points are added together and then divided by the total number of test points to obtain the average brightness value. The squares of the differences between all test points and the average brightness value are summed and then divided by the total number of test points to obtain the average brightness standard value. The brightness value is used to describe the brightness distribution of each area on the light-emitting surface of the quantum dot diffuser plate. The uniformity of the display effect of the quantum dot diffuser plate is evaluated by obtaining the uniformity and brightness range of the display effect of the quantum dot diffuser plate, thereby improving the accuracy of the display effect evaluation index of the quantum dot diffuser plate.

[0059] Furthermore, the specific steps of preprocessing are as follows: identifying outliers of the first feature data sequence through the Z score in the statistical analysis method, and obtaining a deduplicated first feature data sequence after removing the outliers; denoising the deduplicated first feature data sequence through mean filtering, and outputting the denoised data to obtain the second feature data sequence.

[0060] In this embodiment, each Z score is compared with a selected threshold value, and the average value is obtained by summing the data in the first feature data sequence and dividing it by the total number of the first feature sequence. The standard deviation is obtained by summing the squares of the difference between the average value and the data in the first feature sequence, and then the data in the first feature data sequence is respectively subtracted from the average value, and then divided by the standard deviation to obtain the Z score of the data in the first feature data sequence. The selected threshold value is the difference between the average value of the Z score and the variance of the Z score. If the absolute value of the Z score is greater than the threshold, the data corresponding to the first feature data sequence is regarded as an abnormal value and needs to be removed, otherwise the data corresponding to the first feature data sequence is regarded as a normal value and retained. The Z score indicates the degree of deviation of a data point in the first feature sequence from the average value of the data set; through mean filtering, a window of size 5 is defined, and the window is slid from the first feature data sequence to the end of the sequence in sequence from the first feature data sequence to the end of the sequence, and the mean of the data in each window is calculated and the value of the center point in the window is replaced by the mean value. The window is used to calculate the mean of the data; the abnormal data is removed by preprocessing, and the quality and reliability of the second device data are improved.

[0061] Furthermore, the display effect evaluation index of the quantum dot diffusion plate is calculated using the following formula:

[0062]

[0063] Where y is the number of the quantum dot diffusion plate, y = 1, 2..., Y, Y is the total number of quantum dot diffusion plates, S y The display effect evaluation index of the y-th quantum dot diffusion plate, q is the data element number in the second characteristic data sequence and the preset standard data sequence, q=1,2…,Q, Q is the total number of data elements in the second characteristic data sequence and the preset standard data sequence, is the qth data element of the second characteristic data sequence of the yth quantum dot diffusion plate, J (q) It is the qth data element in the preset standard data sequence.

[0064] It should be understood that the half-peak width and brightness value of the quantum dot diffuser have a significant impact on the display effect of the quantum dot diffuser, where the closer the half-peak width and brightness value in the second characteristic data sequence are to the values ​​in the preset standard sequence, the better the display effect of the quantum dot diffuser. The independent variable q in this formula affects I (q)y and J (q) , these are the data elements in q different second characteristic data sequences and the preset standard data sequence, S y By comparing the second feature data sequence I (q)y and preset standard data sequence J (q) The preset standard data sequence is obtained by sequentially combining the mean values ​​of the half-peak width and brightness value of the historical quantum dot diffusion plate display effect, such as Figure 2 As shown in FIG. 1 , a schematic diagram of the change of the display effect evaluation index of the quantum dot diffusion plate provided in the embodiment of the present application is shown. Assuming that the total number of data elements in the second characteristic data sequence and the preset standard data sequence is 12, and the number of quantum dot diffusion plates is 2, Figure 2 It can be seen that as the difference between the second characteristic data sequence and the preset standard data sequence increases, the display effect evaluation index of the quantum dot diffuser increases, indicating that the display effect of the quantum dot diffuser is poor, and vice versa, indicating that the display effect of the quantum dot diffuser is good.

[0065] In this embodiment, S y According to the second characteristic data sequence I (q)y and preset standard data sequence J (q) The result is obtained by comparative verification. The arctan function is used to map the relative difference between the real-time data and the benchmark data into an angle range, so that small differences can also produce significant changes to better evaluate the display effect of the quantum dot diffuser panel. Through data comparison, mapping function and comprehensive analysis, the accuracy of the quantum dot diffuser panel display effect evaluation index is improved.

[0066] like Figure 3 As shown, it is a structural schematic diagram of a display effect test system based on a quantum dot diffusion plate provided in an embodiment of the present application. A display effect test system based on a quantum dot diffusion plate provided in an embodiment of the present application includes: a quantum dot diffusion plate stability test module, a quantum dot diffusion plate display test module and a quantum dot diffusion plate display evaluation module; wherein the quantum dot diffusion plate stability test module is used to measure the stability test data of the quantum dot diffusion plate through a stability test device, and judge whether the quantum dot diffusion plate is qualified according to the quantum dot diffusion plate stability abnormality index obtained by comparing the stability test data with a preset threshold value, and if the quantum dot diffusion plate is qualified, the display continues The quantum dot diffusion plate display test module is used to obtain the half-peak width of the quantum dot diffusion plate by using a luminous spectrum curve obtained by spectrally scanning the quantum dot diffusion plate through a spectrometer, and at the same time measure the brightness value of the quantum dot diffusion plate through a brightness meter; the quantum dot diffusion plate display evaluation module is used to sequentially combine the collected half-peak width and brightness value of the quantum dot diffusion plate to obtain a first characteristic data sequence, and compare the second characteristic data sequence obtained by preprocessing the first characteristic data sequence with the preset standard data sequence to obtain the display effect evaluation index of the quantum dot diffusion plate, and the display effect evaluation index is used to evaluate the display effect of the quantum dot diffusion plate.

[0067] In this embodiment, the analysis report is used to record the comparative analysis results of the stability of the quantum dot diffusion plate. The quantum dot diffusion plate is in a set high temperature and high humidity environment. The peak width measures the purity of the quantum dot luminous color, and the brightness value detects the brightness and uniformity of the light-emitting surface of the quantum dot diffusion plate; the preprocessing includes deduplication and denoising, and the second characteristic data sequence includes the half-peak width and the brightness value of the quantum dot diffusion plate after preprocessing; the stability of the quantum dot diffusion plate is improved by the quantum dot diffusion plate stability test module, and the accuracy of the data obtained in the quantum dot diffusion plate display test module and the quantum dot diffusion plate display evaluation module is improved.

[0068] To summarize, the embodiment of the present application measures the stability test data of the quantum dot diffusion plate through a stability testing device, and judges whether the quantum dot diffusion plate is qualified based on the quantum dot diffusion plate stability anomaly index obtained by comparing the stability test data with a preset threshold, thereby improving the stability of the quantum dot diffusion plate itself, and further reducing the impact of the environment on the display effect test results of the quantum dot diffusion plate, effectively solving the problem of inaccurate display test results of the quantum dot diffusion plate in the prior art.

[0069] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0071] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0073] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0074] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A display effect testing method based on a quantum dot diffusion plate, characterized in that: The following steps are involved: S1, measuring the stability test data of the quantum dot diffusion plate by using a stability test device, and judging whether the quantum dot diffusion plate is qualified according to the quantum dot diffusion plate stability abnormality index obtained by comparing the stability test data with a preset threshold value. If the quantum dot diffusion plate is qualified, continue to perform the display effect test, otherwise feedback the analysis report; S2, obtaining the half-peak width of the quantum dot diffuser plate from the luminescence spectrum curve obtained by performing spectral scanning on the quantum dot diffuser plate by a spectrometer, and measuring the brightness value of the quantum dot diffuser plate by a brightness meter; S3, sequentially combining the collected half-peak widths and brightness values ​​of the quantum dot diffuser plate to obtain a first characteristic data sequence, and comparing a second characteristic data sequence obtained by preprocessing the first characteristic data sequence with a preset standard data sequence to obtain a display effect evaluation index of the quantum dot diffuser plate, wherein the display effect evaluation index is used to evaluate the display effect of the quantum dot diffuser plate; The display effect evaluation index of the quantum dot diffusion plate is calculated using the following formula: Where y is the number of the quantum dot diffusion plate, y = 1, 2..., Y, Y is the total number of quantum dot diffusion plates, S y The display effect evaluation index of the y-th quantum dot diffusion plate, q is the data element number in the second characteristic data sequence and the preset standard data sequence, q=1,2…,Q, Q is the total number of data elements in the second characteristic data sequence and the preset standard data sequence, is the qth data element of the second characteristic data sequence of the yth quantum dot diffusion plate, J (q) It is the qth data element in the preset standard data sequence.

2. A display effect testing method based on a quantum dot diffusion plate as claimed in claim 1, characterized in that: The stability test data includes chromaticity mean and color temperature mean; The chromaticity mean value represents the mean value of the chromaticity of the quantum dot diffusion plate measured by a colorimeter within a set stability detection time interval; The color temperature average value represents the average value of the color temperature of the quantum dot diffusion plate measured by using a colorimeter within a set stability detection time interval.

3. A display effect testing method based on a quantum dot diffusion plate as claimed in claim 1, characterized in that: The specific steps for obtaining the stability anomaly index of the quantum dot diffusion plate are as follows: The chromaticity mean and the color temperature mean are sequentially arranged to obtain a color coordinate data sequence, the preset thresholds are sequentially arranged to obtain a preset threshold sequence, and a quantum dot diffusion plate stability abnormality index is obtained by performing a comparison check between the obtained color coordinate data sequence and the preset threshold sequence; The quantum dot diffusion plate stability anomaly index is calculated using the following formula: Where R is the stability anomaly index of the quantum dot diffusion plate, i is the number of the data element in the color coordinate data sequence, i = 1, 2…, N, N is the total number of data elements in the color coordinate data sequence, X i is the i-th data element in the color coordinate data sequence, Y i is the i-th data element in the preset threshold sequence, and e represents a natural constant.

4. A display effect testing method based on a quantum dot diffusion plate as claimed in claim 3, characterized in that: The specific process of judging whether the quantum dot diffusion plate is qualified is as follows: The stability threshold is obtained by the quantum dot diffusion plate stability anomaly index, and the stability of the quantum dot diffusion plate is graded according to the stability threshold to obtain a stability grade, wherein the stability grades include excellent, good, qualified and unqualified.

5. A display effect testing method based on a quantum dot diffusion plate as claimed in claim 1, characterized in that: The specific process of the feedback analysis report is as follows: According to the analysis report, the relevant test data of each quantum dot diffusion plate stability test and the analysis and comparison results of the preset threshold are recorded, and the stability difference analysis of the quantum dot diffusion plate is presented through a drawn visualization graph. The relevant test data includes the chromaticity and color temperature of the quantum dot diffusion plate, and the visualization graph includes a line graph and a bar graph.

6. A display effect testing method based on a quantum dot diffusion plate as claimed in claim 1, characterized in that: The specific steps of obtaining the half-peak width of the quantum dot diffuser plate by using a luminescence spectrum curve obtained by spectrally scanning the quantum dot diffuser plate with a spectrometer are as follows: Scanning the quantum dot diffusion plate with a spectrometer to obtain a luminescence spectrum curve; The half-peak width is obtained by measuring the half-peak point of the peak and the wavelength range between the two half-peak points according to the luminescence spectrum curve. The quantum dot diffusion plate is placed in the monitoring area of ​​a calibrated and working spectrometer.

7. A display effect testing method based on a quantum dot diffusion plate as claimed in claim 1, characterized in that: The specific steps of measuring the brightness value of the quantum dot diffusion plate are as follows: Divide the light-emitting surface of the quantum dot diffusion plate into nine regions of equal area according to the nine-point method, and obtain a test point, which is the center point of each region; At the test point, the brightness value of each area of ​​the light-emitting surface of the quantum dot diffuser plate is measured by a brightness meter, and the brightness average value and the brightness standard value are obtained according to the brightness values ​​of all the test points, thereby obtaining the brightness value of the quantum dot diffuser plate, and the brightness value of the quantum dot diffuser plate is the ratio of the brightness average value to the brightness standard value.

8. A display effect testing method based on a quantum dot diffusion plate as claimed in claim 1, characterized in that: The specific steps of the pretreatment are as follows: Identify outliers of the first feature data sequence by using the Z score in the statistical analysis method, and obtain a deduplicated first feature data sequence after removing the outliers; The deduplicated first feature data sequence is denoised by mean filtering, and the denoised data is output to obtain a second feature data sequence.

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