AMOLED display performance comprehensive evaluation method based on multi-standard decision analysis

Abstract

The invention relates to the technical field of display performance evaluation, and provides an AMOLED display performance comprehensive evaluation method based on multi-standard decision analysis, and the method comprises the steps: constructing a display performance evaluation index system; preprocessing the data, and standardizing the preprocessed data; according to the importance and contribution degree of the index, determining the weight of the index by adopting an analytic hierarchy process; constructing a total utility function by using a multi-attribute utility theory, and obtaining the total utility function of the overall display performance of the AMOLED product; constructing a similarity quantitative analysis model by using the standardized index data, and obtaining the similarity between the product display performance and the optimal product by using the similarity quantitative analysis model; and combining the total utility function with the similarity to obtain a comprehensive evaluation score of the product performance. The AMOLED display performance evaluation method solves the problems that an existing evaluation method is not high in adaptability and poor in flexibility, and comprehensive, objective and accurate evaluation on the AMOLED display performance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of display performance evaluation, and in particular to a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis. Background Art

[0002] With the rapid development of mobile devices and high-end TVs, users' demand for display is no longer limited to basic display functions, but pursues higher brightness, wider color gamut, faster response speed and better visual experience. In the field of smartphones, high-end flagship phones basically use OLED screens, while LCD screens are generally installed in mid- and low-end models. As the under-screen camera and under-screen fingerprint unlocking technologies gradually mature, the penetration rate of mobile phone OLED panels will also increase further. AMOLED technology has gradually become the mainstream of display technology due to its excellent picture quality, extreme lightness and thinness, wide temperature operation, outdoor visibility, ultra-low power consumption, and healthy eye protection. In particular, the emergence of Hybrid AMOLED technology combines the advantages of flexible and rigid AMOLED technologies to achieve a thin and light form factor that is almost as thin as a flexible AMOLED panel, while overcoming the shortcomings of wrinkled edges, unevenness, low strength and reliability when the flexible AMOLED screen becomes larger.

[0003] In order to adapt to the development of OLED display products and update the technical level, enterprise technical standards such as Q / SLCD 001-2018 have been formulated. These standards specify the methods for evaluating the performance of OLED displays, including performance definitions and performance index testing and evaluation methods, and are applicable to OLED rigid and flexible displays. The evaluation methods cover key indicators such as brightness, contrast, chromaticity, and color gamut. For example, the brightness test is carried out in a dark room, using a light measurement device to measure the brightness in the normal direction of the center of the luminous surface. Contrast measurement involves the brightness measurement of full white field and full black field signals. With the development of new technologies such as flexible display, high dynamic range (HDR) and high refresh rate, existing evaluation methods need to be updated to adapt to these new technologies. For example, the test of flexible OLED needs to consider factors such as bending angle and number of bends, which affect the display characteristics and life of the display. Organizations such as the International Electrotechnical Commission (IEC) are developing OLED display test standards to ensure the quality and performance of OLED display products. These standards include tests in terms of brightness, contrast, viewing angle, response time, color accuracy, life, etc. The test method needs to take into account the performance of the screen under different environmental conditions, such as temperature, humidity, light intensity, etc., to ensure that the screen can maintain good display effects in various environments. AMOLED and OLED are both organic light-emitting diode technologies, but they differ in structure and performance: AMOLED is an active matrix organic light-emitting diode technology, which uses an active matrix drive, and each pixel has independent thin-film transistor control, which can provide higher resolution, faster response speed and lower power consumption. AMOLED screens are often used in high-end smartphones and TVs because they can display deeper blacks and more vivid colors, while having very thin profiles and bendable characteristics. OLED usually refers to passive matrix OLED technology, which does not have a TFT backplane, so each pixel cannot be controlled individually, resulting in slower response speed and higher power consumption. OLED screens are usually used in smaller devices, such as early mobile devices and low-end products. Therefore, in the existing evaluation methods for AMOLED products, most of them copy the evaluation methods of ordinary OLED products, lack the feature collection of brightness and color uniformity across the entire screen, and cannot match the display uniformity required for AMOLED products; in addition, there is a lack of blue light test parameters for products in different display modes, lack of consideration of human eye protection, and cannot fully evaluate the performance of AMOLED products. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the related art. To this end, the present invention provides a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis, which solves the problems of poor adaptability and flexibility of previous evaluation methods and realizes a comprehensive, objective and accurate evaluation of AMOLED display performance.

[0005] The present invention provides a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis, comprising: S1: Construct an AMOLED display performance evaluation index system based on brightness index, chromaticity index and blue light index; S2: According to the AMOLED display performance evaluation index system, the brightness index data, chromaticity index data and blue light index data of the AMOLED product are pre-processed and standardized to obtain standardized index data; S3: According to the importance and contribution of brightness index, chromaticity index and blue light index, the weights of brightness index, chromaticity index and blue light index are determined by using the hierarchical analysis method; S4: Based on the weights of brightness index, chromaticity index and blue light index and the standardized index data, the total utility function is constructed using multi-attribute utility theory to obtain the total utility value of the overall display performance of the AMOLED product; S5: Use standardized indicator data to build a similarity quantification analysis model, select a set of AMOLED product parameters in the optimal state as a reference sequence, and use the similarity quantification analysis model to calculate the similarity coefficient between the actual product parameters and the reference sequence; average the similarity coefficients to obtain the similarity between the display performance of the AMOLED product and the optimal AMOLED product; S6: Combine the total utility value of the overall display performance of the AMOLED product with the similarity between the display performance of the AMOLED product and the optimal AMOLED product to obtain a comprehensive evaluation score of the AMOLED product performance.

[0006] According to the present invention, a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis also includes step S1: Brightness indicators include the average brightness of the entire white field, the average brightness of the entire black field, contrast, and brightness uniformity; Chromaticity indicators include color gamut coverage and chromaticity uniformity; Blue light indicators include blue light radiation ratio, blue light peak wavelength, color temperature, radiance, rhythmic factor, and blue light hazard efficiency.

[0007] According to the AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis provided by the present invention, the method further includes step S2, wherein the preprocessing includes removing outliers, calculating the mean of the data set, and standard deviation ,lie in Data outside of this range are considered outliers.

[0008] According to a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis provided by the present invention, the method further includes step S2, wherein the standardization process includes minimum-maximum standardization, scaling the utility value of each indicator to the interval [0, 1], and the calculation expression is: in, As an indicator, is the utility value of the indicator, is the minimum value of the indicator, is the maximum value of the indicator.

[0009] According to a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis provided by the present invention, the method further includes step S2, wherein the standardization process includes 0-1 standardization, and the 0-1 standardization limits the utility value of each indicator to the interval [0, 1] by adding an upper limit and a lower limit, and the calculation expression is: in, As an indicator, is the utility value of the indicator, is the minimum value of the indicator, is the maximum value of the indicator, To obtain the maximum value function, is the minimum value function.

[0010] According to the present invention, a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis further includes step S3: Classify and stratify the performance indicators of AMOLED products according to their influencing factors; By collecting the judgments and market data of industry experts, using natural language processing technology to extract keywords and sentiment tendencies in expert opinions, the importance of each indicator is quantified; Combined with cluster analysis, potential correlations and dependencies between indicators are identified to obtain objective indicator weights.

[0011] According to the present invention, a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis further includes step S4: Using the weights of brightness index, chromaticity index and blue light index obtained by hierarchical analysis, three separate utility functions are constructed for brightness, chromaticity and blue light indicators; The calculation expression of the comprehensive brightness utility function is: in, For the comprehensive brightness effect, is the brightness of the entire white field average value, is the average weight of the brightness of the entire white field, is the brightness of the full black field average value, is the average weight of the brightness of the full black field, For brightness contrast, is the brightness contrast weight, For brightness uniformity, is the brightness uniformity weight; The calculation expression of the comprehensive chromaticity utility function is: in, For the comprehensive chromaticity effect, For the color gamut coverage utility, is the color gamut coverage weight, For the chromaticity uniformity effect, is the chromaticity uniformity weight; The calculation expression of the comprehensive blue light utility function is: in, For comprehensive blue light effects, For the blue light radiation ratio effect, is the blue light radiation ratio weight, For the blue light peak wavelength effect, is the blue light peak wavelength weight, For the blue light color temperature effect, is the blue light color temperature weight, is the blue light radiance effect, is the blue light radiance weight, For the rhythm factor effect, is the rhythm factor weight, To reduce the harmful effects of blue light, is the blue light hazard efficiency weight; The calculation expression of the total utility function constructed according to the multi-attribute utility theory is: in, is the total utility value calculated according to the multi-attribute utility theory, is the total brightness weight, is the total chromaticity weight, is the total weight of blue light.

[0012] According to the AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis provided by the present invention, the similarity coefficient is calculated as follows in step S5: in, For the Product parameter sequence The similarity coefficient of the data points is is the resolution coefficient, The reference sequence The parameter value of the data point, For the The product parameter sequence is in The parameter value of each data point; For The minimum function of For Maximum function; The similarity coefficients are averaged to obtain the similarity of each product. The calculation expression is: in, is the number of indicators, is the similarity calculated based on the similarity quantification analysis model.

[0013] According to the present invention, a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis further includes: in step S6, the comprehensive evaluation score of each AMOLED product performance is obtained by weighted average, and the calculation expression is: in, It is the comprehensive evaluation score of AMOLED product performance. is the total utility value calculated according to the multi-attribute utility theory, is the similarity calculated based on the similarity quantification analysis model, is the weight of multi-attribute utility theory, Quantify the weights of the analysis model for similarity.

[0014] According to the present invention, a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis is provided, which also includes selecting the AMOLED product with the highest score as the optimal option according to the comprehensive evaluation score of the AMOLED product performance.

[0015] The above one or more technical solutions in the embodiments of the present invention have at least one of the following technical effects: The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis provided by the present invention not only takes into account key performance indicators such as brightness, chromaticity and blue light, but also ensures the scientificity and accuracy of the evaluation process through standardized processing and weight distribution. By implementing the method of the present invention, a comprehensive score is generated for each AMOLED product, which reflects its overall performance in multiple performance dimensions. This comprehensive evaluation result provides a reliable decision support tool for manufacturers, suppliers and consumers to help them choose the AMOLED products with the best performance. The method is highly dynamic and adaptable, and can be flexibly adjusted with the introduction of new technologies and changes in the market to ensure the timeliness and foresight of the evaluation system.

[0016] In practical applications, the present invention provides a powerful decision support tool, making the selection of the best AMOLED product simple and accurate: the comprehensive evaluation score provides a clear indicator for decision makers, achieving a comprehensive, objective and accurate evaluation of AMOLED display performance, helping them to quickly identify the best performance product among multiple alternatives.

[0017] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0019] Figure 1 It is a flow chart of a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis provided by the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme in the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present invention. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0021] In the description of the embodiments of the present invention, it should be noted that the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance. In the description of this specification, the description of reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiments of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples without contradiction.

[0022] like Figure 1 As shown, a comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis includes: S1: Construct an AMOLED display performance evaluation index system based on brightness index, chromaticity index and blue light index; The AMOLED display performance evaluation index system includes brightness index, chromaticity index and blue light index. Brightness indicators include the average brightness of the entire white field, the average brightness of the entire black field, contrast, and brightness uniformity; The brightness index is a measure of the screen's luminous intensity. If the brightness is too low, the screen details will be difficult to discern, especially in bright environments, the screen will appear dim. If the brightness is too high, it will cause eye fatigue and discomfort. Chromaticity indicators include color gamut coverage and chromaticity uniformity. Chromaticity describes the accuracy and range of the color displayed by the monitor; Chromaticity is a measure of the accuracy and range of colors displayed by a monitor; Blue light indicators include blue light radiation ratio, blue light peak wavelength, color temperature, radiance, rhythm factor, and blue light hazard efficiency; The blue light index is used to comprehensively judge the impact of blue light from AMOLED products on the eyes.

[0023] The purpose of this step is to establish the evaluation framework and ensure that the evaluation is comprehensive and systematic.

[0024] S2: According to the AMOLED display performance evaluation index system, the brightness index data, chromaticity index data and blue light index data of the AMOLED product are pre-processed and standardized to obtain standardized index data; The purpose of preprocessing is to ensure the quality and consistency of the data and provide an accurate data basis for subsequent analysis; the purpose of standardization is to eliminate the impact of different indicator dimensions and make the data comparable.

[0025] Preprocessing includes removing outliers and calculating the mean of the data and standard deviation , and define a threshold as the mean plus or minus 3 times the standard deviation ,lie in Data outside of this range are considered outliers.

[0026] Normalization processing includes minimum-maximum normalization or 0-1 normalization; The minimum-maximum normalization scales the utility value of each indicator to the interval [0, 1]; the calculation expression is: in, As an indicator, is the utility value of the indicator, is the minimum value of the indicator, is the maximum value of the indicator, The average value of the brightness of the entire white field (Luminance White, LW), the standardized calculation expression is: in, is the brightness of the entire white field average value, is the average brightness of the entire white field, is the minimum value of the average brightness of the entire white field, It is the maximum value of the average value of the brightness in the whole white field; The average value of the brightness in the full black field (Luminance Black, LB) is calculated by standardization: in, is the brightness of the full black field average value, is the average brightness of the full black field, is the minimum value of the average brightness of the full black field, The maximum value of the average brightness of the full black field; Brightness contrast (Contrast Ratio, CR), the standardized calculation expression is: in, For brightness contrast, is the brightness contrast, is the minimum brightness contrast, is the maximum brightness contrast; Luminance Uniformity (LU), the standardized calculation expression is: in, For brightness uniformity, is the brightness uniformity, is the minimum brightness uniformity, is the maximum value of brightness uniformity; Color gamut coverage (CG), the standardized calculation expression is: in, For the color gamut coverage utility, is the color gamut coverage, is the minimum color gamut coverage, is the maximum color gamut coverage; Chromaticity Uniformity (CU), the standardized calculation expression is: in, For the chromaticity uniformity effect, is the chromaticity uniformity, is the minimum value of chromaticity uniformity, is the maximum value of chromaticity uniformity; Blue Light Ratio (BLR), the standardized calculation expression is: in, For the blue light radiation ratio effect, is the blue light radiation ratio, is the minimum value of blue light radiation ratio, is the maximum value of blue light radiation ratio; Blue Light Peak Wavelength (BLPW), the standardized calculation expression is: in, For the blue light peak wavelength effect, is the peak wavelength of blue light, is the minimum value of the peak wavelength of blue light, is the maximum value of the peak wavelength of blue light; The standardized calculation expression of blue light color temperature (Color Temperature, CT) is: in, For the blue light color temperature effect, is the blue light color temperature, is the minimum color temperature of blue light. is the maximum color temperature of blue light; The standardized calculation expression of blue light radiant flux (RF) is: in, is the blue light radiance effect, is the blue light radiance, is the minimum blue light radiance, is the maximum value of blue light radiance; The standardized calculation expression of circadian factor (KC) is: in, For the rhythm factor effect, is the rhythm factor, is the minimum value of the rhythm factor, is the maximum value of the rhythm factor; Blue Light Hazard Efficiency (BLHE), the standardized calculation expression is: in, To reduce the harmful effects of blue light, To reduce the blue light hazard efficiency, is the minimum value of blue light hazard efficiency, The maximum value of blue light hazard efficiency; 0-1 standardization limits the utility value of each indicator to the interval [0,1] by adding upper and lower limits. The calculation expression is: in, As an indicator, is the utility value of the indicator, is the minimum value of the indicator, is the maximum value of the indicator, To obtain the maximum value function, is the minimum value function.

[0027] S3: According to the importance and contribution of brightness index, chromaticity index and blue light index, the weights of brightness index, chromaticity index and blue light index are determined by using the hierarchical analysis method; Classify and stratify the performance indicators of AMOLED products according to their influencing factors; By collecting the judgments and market data of industry experts, using natural language processing technology to extract keywords and sentiment tendencies in expert opinions, the importance of each indicator is quantified; Combined with cluster analysis, potential correlations and dependencies between indicators are identified to obtain objective indicator weights.

[0028] The weights of each indicator are mainly obtained from experts and market experience and are artificially generated data.

[0029] The purpose of this step is to determine the relative importance of each indicator in the evaluation system and provide a reasonable weight basis for the comprehensive evaluation.

[0030] S4: Based on the weights of brightness index, chromaticity index and blue light index and the standardized index data, the total utility function is constructed using multi-attribute utility theory to obtain the total utility value of the overall display performance of the AMOLED product; Using the weight of each indicator obtained by hierarchical analysis, three separate utility functions are constructed for the three indicators of brightness, chromaticity, and blue light; The calculation expression of the comprehensive brightness utility function is: in, For the comprehensive brightness effect, is the average weight of the brightness of the entire white field, is the average weight of the brightness of the full black field, is the brightness contrast weight, is the brightness uniformity weight; The calculation expression of the comprehensive chromaticity utility function is: in, For the comprehensive chromaticity effect, is the color gamut coverage weight, is the chromaticity uniformity weight; The calculation expression of the comprehensive blue light utility function is: in, For comprehensive blue light effects, is the blue light radiation ratio weight, is the blue light peak wavelength weight, is the blue light color temperature weight, is the blue light radiance weight, is the rhythm factor weight, is the blue light hazard efficiency weight; The calculation expression of the total utility function constructed according to the multi-attribute utility theory is: in, is the total utility value calculated according to the multi-attribute utility theory, is the total brightness weight, is the total chromaticity weight, is the total weight of blue light.

[0031] Through this construction method, the influence of various indicators is combined to obtain a utility function that reflects the overall performance of the AMOLED screen.

[0032] S5: Use standardized indicator data to build a similarity quantification analysis model, select a set of AMOLED screen parameters in the optimal state as a reference sequence, and use the similarity quantification analysis model to calculate the similarity coefficient between the actual product parameters and the reference sequence; average the similarity coefficients to obtain the similarity between the display performance of the AMOLED product and the optimal AMOLED product; The calculation expression of similarity coefficient is: in, For the Product parameter sequence The similarity coefficient of the data points is is the resolution coefficient, The reference sequence The parameter value of the data point, For the The product parameter sequence is in The parameter value of each data point; For The minimum function of For Maximum function; The similarity coefficients are averaged to obtain the similarity of each product. The calculation expression is: in, is the number of indicators, is the similarity calculated based on the similarity quantification analysis model.

[0033] Comparing the similarities of different comparison sequences, the higher the similarity, the closer the sequence is to the reference sequence, that is, the higher the similarity, the better the performance.

[0034] The purpose of this step is to evaluate the similarity between the display performance of AMOLED products and the ideal state, and provide dynamic similarity analysis for comprehensive evaluation.

[0035] S6: Combine the total utility value of the overall display performance of the AMOLED product with the similarity between the display performance of the AMOLED product and the optimal AMOLED product to obtain a comprehensive evaluation score of the AMOLED product performance.

[0036] The comprehensive evaluation score of each AMOLED product performance is obtained by weighted average, and the calculation expression is: in, It is the comprehensive evaluation score of AMOLED product performance. is the total utility value calculated according to the multi-attribute utility theory, is the similarity calculated based on the similarity quantification analysis model, is the weight of multi-attribute utility theory, Quantify the weights of the analysis model for similarity.

[0037] It reflects many aspects of screen performance; The similarity of screen parameters to the ideal state was measured; and This determines the relative importance of each model in the final evaluation; through this method, the evaluation results of the two models are integrated into a comprehensive evaluation score to more comprehensively evaluate the display performance of AMOLED products.

[0038] Example: All indicator parameters covered in the evaluation system are collected and integrated. Table 1 is the statistical value of each parameter of the 1st to 3rd AMOLED products, Table 2 is the statistical value of each parameter of the 4th to 6th AMOLED products, and Table 3 is the statistical value of each parameter of the 7th to 9th AMOLED products.

[0039] Table 1 Parameters of the 1st to 3rd AMOLED products Table 2 Parameters of the 4th to 6th AMOLED products Table 3 Parameters of the 7th to 9th AMOLED products According to the established evaluation index system, relevant data are collected, and pre-processed and standardized. The relevant data of AMOLED products after processing are shown in Tables 4 to 6; Table 4 Parameters of the 1st to 3rd AMOLED products after data processing Table 5 Parameters of the 4th to 6th AMOLED products after data processing Table 6 Parameters of the 7th to 9th AMOLED products after data processing The analytic hierarchy process is used to assign weights to each indicator in the comprehensive evaluation model. When calculating the weights, a judgment matrix is ​​constructed based on detailed expert surveys and data analysis, and the analytic hierarchy process is used. The logical consistency of the expert scoring is ensured through consistency checks.

[0040] The weights of various parameters under the brightness index are: Average brightness of full white field: 0.2785, average brightness of full black field: 0.1742, contrast: 0.2512, brightness uniformity: 0.2961; The weights of various parameters under the chromaticity index are: color gamut coverage: 0.5780, chromaticity uniformity: 0.4220; The weights of various parameters under the blue light index are: blue light radiation ratio: 0.2384, blue light peak wavelength: 0.1235, color temperature: 0.1678, radiant brightness: 0.1523, rhythm factor: 0.1459, blue light hazard efficiency: 0.3141.

[0041] According to the determined weights and processed index data, combined with multi-attribute utility theory, a utility function reflecting the overall display performance of AMOLED products is constructed.

[0042] Construct three indicator utility functions, and bring the determined weight values ​​of each indicator into the comprehensive brightness utility function, that is, the calculation expression of the comprehensive brightness utility function is: The calculation expression of comprehensive chromaticity utility function is: The calculation expression of the comprehensive blue light utility function is: is the total brightness weight, is the total chromaticity weight, is the total weight of blue light. According to professional testing and analytic hierarchy process, the three weights are: 0.3450, 0.2317, 0.4233, The total utility function calculation expression is: The comprehensive utility values ​​of the nine AMOLED products are calculated, and the calculation results are shown in Tables 7 and 8. The final result of the utility value ranking calculated using the multi-utility theory is shown in Table 9.

[0043] Table 7 Comprehensive utility values ​​of the 1st to 5th AMOLED products Table 8 Comprehensive utility values ​​of the 6th to 9th AMOLED products Table 9 Final results of ranking of utility values ​​calculated using multi-utility theory The processed data is used to establish a similarity quantitative analysis model. By determining the reference sequence and calculating the similarity parameters, the index similarity results are obtained. To establish a similarity quantitative analysis model, the reference sequence must be determined first. The specific method is as follows: Reference value of average brightness of full white field: 768.266667, select the maximum value, because higher brightness usually means better display performance; Reference value of average brightness of full black field: 0.00037, because lower full black field brightness means higher contrast and deeper black; Reference value of contrast ratio: 1732932.330827, because the higher the contrast, the more obvious the difference between light and dark in the image, and the better the detail performance; Reference value of brightness uniformity: 96.466512, select the maximum value, because the higher the brightness uniformity, the more consistent the screen display, without local over-brightness or over-dark areas; Reference value of color gamut coverage: 1.182954, because the higher the color gamut coverage, the richer the displayed colors; Reference value of chromaticity uniformity: 0.001703, select the minimum value, because the lower the chromaticity uniformity, the more consistent the color display; Reference value of blue light radiation ratio: 21.85904, select the minimum value, because a lower blue light radiation ratio means less potential damage to the eyes; Reference value of blue light peak wavelength: 463. 0, select the maximum value, because the longer the wavelength of blue light, the less potential damage to the eyes; color temperature reference value: 6731.0, the ideal value of color temperature depends on the application scenario, but usually the middle value is selected to balance the cool and warm tones; radiance reference value: 0.3084, select the minimum value, because lower radiance usually means that the screen is less irritating to the eyes; rhythm factor reference value: 0.9046544, select the minimum value, because a lower rhythm factor means less impact on the biological clock; blue light hazard efficiency ... less irritation to the eyes; blue light hazard efficiency reference value: 0.9046544, select the minimum value, because lower circadian factor means less impact on the biological clock; blue light hazard efficiency reference value: 0.9046544, select the minimum value, because lower circadian factor means less impact on the biological clock; blue light hazard efficiency reference value: 0.9046544, select the minimum value, because lower circadian factor means less impact on the biological clock; blue light hazard efficiency reference value: 0.9046544, select the minimum value, because lower circadian factor means less impact on the biological clock; blue light hazard efficiency reference value: 0.9046544, select The reference value is 0.0008836114, and the minimum value is selected because lower blue light hazard efficiency means less potential risk to visual health; the reference sequence is [768.266667, 0.00037, 1732932.330827, 96.466512, 1.182954, 0.001703, 21.85904, 463.0, 6731.0, 0.3084, 0.9046544, 0.0008836114]. After determining the reference sequence, the data is dimensionlessly processed and the similarity coefficient between the reference sequence and the comparison sequence is solved. The calculation formula is as follows: in, is the resolution coefficient, usually taken as 0.5. is the absolute value of the difference between the reference sequence and the comparison sequence at the Kth data point; the similarity coefficient results of the products are calculated and shown in Tables 10-12.

[0044] Table 10 Similarity coefficients of the quantified analysis model for the similarity of the 1st to 3rd AMOLED products Table 11 Similarity coefficients of the 4th to 6th AMOLED product similarity quantitative analysis model Table 12 Similarity coefficients of the quantified analysis model for the 7th to 9th AMOLED product similarity The similarity coefficients were averaged to obtain the similarity of each AMOLED product. Finally, the similarity results of 9 products were obtained and sorted. The results showed that the index parameter sequence of product No. 9 was the most similar to the ideal sequence, and its display performance was the best. The product similarity results are shown in Table 13.

[0045] Table 13 Product similarity results By integrating the multi-attribute utility theory and the similarity quantification analysis model, the comprehensive evaluation results of AMOLED display performance are obtained. The complete data in Table 9 and Table 13 are initialized. The so-called initialization is to divide the data of this sequence by the initial value. Since the magnitude of the sequence of the same factor is not much different, these values ​​can be sorted to the magnitude of 1 by dividing by the initial value. Then the initialization results are added to obtain the final comprehensive evaluation score as shown in Table 14. The role of this step is to provide decision support and help select the best performance AMOLED products.

[0046] Table 14 Comprehensive evaluation scores of products

[0047] In this embodiment, a method for comprehensively evaluating the display performance of AMOLED is developed by integrating the multi-attribute utility theory and the similarity quantification analysis model. This method not only takes into account key performance indicators such as brightness, chromaticity and blue light, but also ensures the scientificity and accuracy of the evaluation process through standardized processing and weight distribution. By implementing the method of the present invention, a comprehensive score is generated for each AMOLED product, which reflects its overall performance in multiple performance dimensions. This comprehensive evaluation result provides manufacturers, suppliers and consumers with a reliable decision support tool to help them choose the best AMOLED products. In addition, the method of the present invention solves the problems of poor adaptability and poor flexibility of previous evaluation methods, and can adjust the evaluation indicators and weights according to different needs and application scenarios to adapt to the changing market needs and technological progress. A comprehensive, objective and accurate evaluation of AMOLED display performance is achieved.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A comprehensive evaluation method for AMOLED display performance based on multi-criteria decision analysis, characterized in that: include: S1: Construct an AMOLED display performance evaluation index system based on brightness index, chromaticity index and blue light index; S2: According to the AMOLED display performance evaluation index system, the brightness index data, chromaticity index data and blue light index data of the AMOLED product are pre-processed and standardized to obtain standardized index data; S3: According to the importance and contribution of brightness index, chromaticity index and blue light index, the weights of brightness index, chromaticity index and blue light index are determined by using the hierarchical analysis method; S4: Based on the weights of brightness index, chromaticity index and blue light index and the standardized index data, the total utility function is constructed using multi-attribute utility theory to obtain the total utility value of the overall display performance of the AMOLED product; S5: Use standardized indicator data to build a similarity quantification analysis model, select a set of AMOLED product parameters in the optimal state as a reference sequence, and use the similarity quantification analysis model to calculate the similarity coefficient between the actual product parameters and the reference sequence; average the similarity coefficients to obtain the similarity between the display performance of the AMOLED product and the optimal AMOLED product; S6: Combine the total utility value of the overall display performance of the AMOLED product with the similarity between the display performance of the AMOLED product and the optimal AMOLED product to obtain a comprehensive evaluation score of the AMOLED product performance.

2. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S1, Brightness indicators include the average brightness of the entire white field, the average brightness of the entire black field, contrast, and brightness uniformity; Chromaticity indicators include color gamut coverage and chromaticity uniformity; Blue light indicators include blue light radiation ratio, blue light peak wavelength, color temperature, radiance, rhythmic factor, and blue light hazard efficiency.

3. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S2, the preprocessing includes removing outliers and calculating the mean of the data set. and standard deviation ,lie in Data outside of this range are considered outliers.

4. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S2, the standardization process includes minimum-maximum standardization, scaling the utility value of each indicator to the interval [0, 1], and the calculation expression is: in, As an indicator, is the utility value of the indicator, is the minimum value of the indicator, is the maximum value of the indicator.

5. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S2, the standardization process includes 0-1 standardization, which limits the utility value of each indicator to the interval [0, 1] by adding an upper limit and a lower limit. The calculation expression is: in, As an indicator, is the utility value of the indicator, is the minimum value of the indicator, is the maximum value of the indicator, To obtain the maximum value function, is the minimum value function.

6. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S3, Classify and stratify the performance indicators of AMOLED products according to their influencing factors; By collecting the judgments and market data of industry experts, using natural language processing technology to extract keywords and sentiment tendencies in expert opinions, the importance of each indicator is quantified; Combined with cluster analysis, potential correlations and dependencies between indicators are identified to obtain objective indicator weights.

7. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S4, Using the weights of brightness index, chromaticity index and blue light index obtained by hierarchical analysis, three separate utility functions are constructed for brightness, chromaticity and blue light indicators. The calculation expression of the comprehensive brightness utility function is: in, For the comprehensive brightness effect, is the brightness of the entire white field average value, is the average weight of the brightness of the entire white field, is the brightness of the full black field average value, is the average weight of the brightness of the full black field, For brightness contrast effect, is the brightness contrast weight, For brightness uniformity, is the brightness uniformity weight; The calculation expression of the comprehensive chromaticity utility function is: in, For the comprehensive chromaticity effect, For the color gamut coverage utility, is the color gamut coverage weight, For the chromaticity uniformity effect, is the chromaticity uniformity weight; The calculation expression of the comprehensive blue light utility function is: in, For comprehensive blue light effects, For the blue light radiation ratio effect, is the blue light radiation ratio weight, For the blue light peak wavelength effect, is the blue light peak wavelength weight, For the blue light color temperature effect, is the blue light color temperature weight, is the blue light radiance effect, is the blue light radiance weight, For the rhythm factor effect, is the rhythm factor weight, To reduce the harmful effects of blue light, is the blue light hazard efficiency weight; The calculation expression of the total utility function constructed according to the multi-attribute utility theory is: in, is the total utility value calculated according to the multi-attribute utility theory, is the total brightness weight, is the total chromaticity weight, is the total weight of blue light.

8. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S5, the calculation expression of the similarity coefficient is: in, For the Product parameter sequence The similarity coefficient of the data points is is the resolution coefficient, The reference sequence The parameter value of the data point, For the The product parameter sequence is in The parameter value of each data point; For The minimum function of For Maximum function; The similarity coefficients are averaged to obtain the similarity of each product. The calculation expression is: in, is the number of indicators, is the similarity calculated based on the similarity quantification analysis model.

9. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: In step S6, the comprehensive evaluation score of each AMOLED product performance is obtained by weighted average, and the calculation expression is: in, It is the comprehensive evaluation score of AMOLED product performance. is the total utility value calculated according to the multi-attribute utility theory, is the similarity calculated based on the similarity quantification analysis model, is the weight of multi-attribute utility theory, Quantify the weights of the analysis model for similarity.

10. The AMOLED display performance comprehensive evaluation method based on multi-criteria decision analysis according to claim 1, characterized in that: According to the comprehensive evaluation score of AMOLED product performance, the AMOLED product with the highest score is selected as the optimal option.

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