OLED display life evaluation method and system

Abstract

The invention relates to the technical field of OLED (Organic Light Emitting Diode) detection, in particular to a method and a system for evaluating the service life of an OLED display. Each area can be independently monitored, errors caused by limitation of overall testing are avoided, the working state of each area can be comprehensively known by obtaining multiple data such as color brightness, current density and temperature, the influence of the heat effect on the service life of a displayer can be more accurately estimated by calculating the heat fatigue strength, and the service life of the displayer is prolonged. The performance of the display under different use conditions can be better understood by calculating the erosion factor, the degradation rate of the OLED display material can be more accurately evaluated by integrating the environmental erosion factor and the thermal fatigue strength, and an accurate life prediction value can be provided for each region by combining the brightness decay rate, the color offset and the material degradation rate, so that the service life of the OLED display can be accurately predicted. The service life prediction values of a plurality of areas are integrated, so that the overall service life of the display is evaluated more accurately, and inaccurate prediction under a unified standard is avoided.

Description

Technical Field

[0001] The present invention relates to the field of OLED detection technology, and in particular to a method and system for evaluating the life of an OLED display. Background Art

[0002] OLED (Organic Light Emitting Diode) display is a light-emitting diode display technology based on organic materials. Unlike traditional LCD (liquid crystal display), OLED does not require a backlight because each pixel is self-luminous. OLED displays have advantages such as bright colors, fast response speed, high contrast, wide viewing angle and high energy efficiency. Therefore, they are widely used in smartphones, TVs, monitors, wearable devices and other fields.

[0003] The lifespan of OLED displays is primarily determined by the degradation of organic materials, especially blue light materials, which decay faster. Therefore, the focus of lifespan assessment is usually on the performance changes and degradation of organic materials. Current existing technologies assess the lifespan of displays by continuously testing the brightness decay and color changes of OLED displays. However, the organic light-emitting materials of OLED displays have poor stability and are easily affected by external environments such as heat, oxygen, and water vapor. In addition, the performance of the light-emitting materials of OLED displays (especially the blue light-emitting layer) is uneven, resulting in different material degradation rates in different areas. This uneven degradation will affect the brightness and color stability of the display, increasing the difficulty of lifespan prediction. Summary of the Invention

[0004] The main purpose of the present invention is to provide a method for evaluating the lifespan of an OLED display, aiming to solve the technical problems in the prior art.

[0005] The present invention provides a method for evaluating the lifespan of an OLED display, comprising: Divide the target OLED display into multiple independent detection areas with equal spacing, and obtain real-time monitoring information and real-time environmental information of each independent detection area under the preset working state; Obtaining corresponding color brightness data, current density data, and temperature distribution data according to each of the real-time monitoring information, and obtaining thermal fatigue strength of the corresponding independent detection area according to each of the current density data and temperature distribution data; Obtaining corresponding temperature and humidity distribution data and ambient oxygen concentration according to each of the real-time environmental information, and obtaining an environmental erosion factor corresponding to the independent detection area according to each of the temperature and humidity distribution data and ambient oxygen concentration; Obtaining a material decay rate of a corresponding independent detection area according to each of the environmental corrosion factors and thermal fatigue strength; Obtaining a corresponding initial brightness reference value and an initial color reference value according to each of the color brightness data, and obtaining an average brightness attenuation rate and a color offset of a corresponding independent detection area according to each of the initial brightness reference value and the initial color reference value; A regional life prediction value of a corresponding independent detection area is obtained according to each of the average brightness decay rate, color shift amount and material decay rate, and the overall life of the display is obtained according to multiple regional life prediction values.

[0006] Preferably, the step of dividing the target OLED display into a plurality of independent detection areas at equal intervals comprises: Obtaining the diagonal length and screen resolution of the target OLED display, and obtaining the horizontal pixel count and the vertical pixel count according to the screen resolution; Obtaining a pixel density according to the horizontal number of pixels, the vertical number of pixels, and the diagonal length, and obtaining a pixel pitch according to the pixel density and the diagonal length; Obtaining the signal noise of each pixel, and obtaining the noise influence range of each pixel based on the signal noise and the pixel spacing; Obtaining a preset noise interference threshold, and obtaining an amount of accommodated pixels according to the preset noise interference threshold and each noise influence range; The target OLED display is divided into a plurality of independent detection areas at equal intervals according to the amount of accommodated pixels.

[0007] Preferably, the step of obtaining the thermal fatigue strength of the corresponding independent detection area according to each of the current density data and the temperature distribution data comprises: Obtaining material parameters of a target OLED display, wherein the material parameters include an electrothermal coupling coefficient, an elastic modulus, a thermal expansion coefficient, and a Poisson's ratio; Obtaining a maximum allowable current density according to the current density data, and obtaining a current thermal stress correction value according to the maximum allowable current density, the current density data, and Poisson's ratio; Acquire temperature data at multiple time points according to the temperature distribution data, and acquire an average temperature and a temperature change rate according to the multiple temperature data; Obtaining a temperature fluctuation amplitude according to the average temperature and a plurality of temperature data, and obtaining a temperature change thermal stress according to the temperature fluctuation amplitude, elastic modulus, and thermal expansion coefficient; Obtaining steady-state thermal stress based on the temperature fluctuation amplitude, current density data, and electrothermal coupling coefficient; Obtaining transient thermal stress according to the temperature change rate and the thermal expansion coefficient, and obtaining electrothermal coupling stress according to the transient thermal stress and the steady-state thermal stress; The local thermal stress is obtained according to the temperature change thermal stress and the current thermal stress correction value, and the thermal fatigue strength of the corresponding independent detection area is obtained according to the local thermal stress and the electrothermal coupling stress.

[0008] Preferably, the step of obtaining the environmental corrosion factor of the corresponding independent detection area according to each of the temperature and humidity distribution data and the ambient oxygen concentration includes: Obtaining the activation energy, cumulative operating time, and encapsulation layer thickness of the target OLED display, and obtaining the oxygen diffusion coefficient based on the encapsulation layer thickness and ambient oxygen concentration; The oxygen penetration depth is calculated based on the ambient oxygen concentration, oxygen diffusion coefficient, cumulative working time and packaging layer thickness, wherein the calculation formula is: ; Where, Y(SD) represents the oxygen penetration depth, H(YL) represents the ambient oxygen concentration, Y(KX) represents the oxygen diffusion coefficient, L(GZ) represents the cumulative working time, F(ZH) represents the thickness of the encapsulation layer, and erfc represents the complementary error function; Obtaining an oxygen corrosion weight coefficient and a humidity corrosion weight coefficient of a target OLED display, and obtaining an oxygen corrosion factor based on the oxygen corrosion weight coefficient, the oxygen penetration depth, and the accumulated operating time; Acquiring a real-time temperature value and a real-time humidity value according to the temperature and humidity distribution data, and acquiring a temperature activation decay factor according to the real-time temperature value and activation energy; A temperature and humidity erosion factor is obtained according to the real-time humidity value, the humidity erosion weight coefficient and the temperature activation decay factor, and an environmental erosion factor is obtained according to the temperature and humidity erosion factor and the oxygen erosion factor.

[0009] Preferably, the step of obtaining the average brightness attenuation rate and color shift of the corresponding independent detection area according to each of the initial brightness reference value and the initial color reference value includes: Obtaining real-time brightness reference values ​​of the target OLED display at multiple time points, and obtaining a corresponding real-time brightness attenuation rate according to each of the real-time brightness reference values ​​and the initial brightness reference value; Obtaining an average brightness decay rate according to the multiple real-time brightness decay rates; Acquire an initial red channel value, an initial green channel value, and an initial blue channel value according to the initial color reference value; Obtaining a real-time red channel value according to the initial red channel value and the average brightness attenuation rate, and obtaining a red channel offset according to the real-time red channel value and the initial red channel value; Obtaining a real-time blue channel value according to the initial blue channel value and the average brightness attenuation rate, and obtaining a blue channel offset according to the real-time blue channel value and the initial blue channel value; Obtaining a real-time green channel value according to the initial green channel value and the average brightness attenuation rate, and obtaining a green channel offset according to the real-time green channel value and the initial green channel value; A color offset is obtained according to the red channel offset, the blue channel offset, and the green channel offset.

[0010] Preferably, the step of obtaining a predicted value of the area life of the corresponding independent detection area according to each of the average brightness decay rate, color shift amount and material decay rate comprises: Obtaining a brightness attenuation threshold and a color shift threshold of the target OLED display, and obtaining a corresponding remaining allowable brightness attenuation rate according to the brightness attenuation threshold and each average brightness attenuation rate; Obtaining a corresponding offset ratio according to the color offset threshold and each color offset, and obtaining a comprehensive attenuation according to each offset ratio and a material decay rate; The area life prediction value of the corresponding independent detection area is obtained according to each of the comprehensive attenuation amounts and the remaining allowed brightness attenuation rate.

[0011] This application also provides an OLED display life evaluation system, comprising: A division module is used to divide the target OLED display into multiple independent detection areas with equal spacing, and obtain real-time monitoring information and real-time environmental information of each independent detection area under a preset working state; A first acquisition module is configured to acquire corresponding color brightness data, current density data, and temperature distribution data according to each of the real-time monitoring information, and to acquire thermal fatigue strength of the corresponding independent detection area according to each of the current density data and temperature distribution data; A second acquisition module is used to obtain corresponding temperature and humidity distribution data and ambient oxygen concentration according to each of the real-time environmental information, and to obtain an environmental erosion factor corresponding to the independent detection area according to each of the temperature and humidity distribution data and ambient oxygen concentration; A third acquisition module is used to obtain the material decay rate of the corresponding independent detection area according to each of the environmental corrosion factors and thermal fatigue strength; a fourth acquisition module, configured to acquire a corresponding initial brightness reference value and an initial color reference value according to each of the color brightness data, and to acquire an average brightness attenuation rate and a color offset of a corresponding independent detection area according to each of the initial brightness reference value and the initial color reference value; The fifth acquisition module is used to obtain a regional life prediction value of the corresponding independent detection area according to each of the average brightness decay rate, color offset and material decay rate, and obtain the overall life of the display according to multiple regional life prediction values.

[0012] Preferably, the first acquisition module includes: a first acquiring unit, configured to acquire material parameters of a target OLED display, wherein the material parameters include an electrothermal coupling coefficient, an elastic modulus, a thermal expansion coefficient, and a Poisson's ratio; a second acquiring unit, configured to acquire a maximum allowable current density according to the current density data, and acquire a current thermal stress correction value according to the maximum allowable current density, the current density data, and a Poisson's ratio; a third acquiring unit, configured to acquire temperature data at a plurality of time points according to the temperature distribution data, and acquire an average temperature and a temperature change rate according to the plurality of temperature data; a fourth acquiring unit, configured to acquire a temperature fluctuation amplitude according to the average temperature and a plurality of temperature data, and acquire a temperature change thermal stress according to the temperature fluctuation amplitude, the elastic modulus, and the thermal expansion coefficient; a fifth acquiring unit, configured to acquire steady-state thermal stress according to the temperature fluctuation amplitude, current density data, and electrothermal coupling coefficient; a sixth acquiring unit, configured to acquire transient thermal stress according to the temperature change rate and the thermal expansion coefficient, and acquire electrothermal coupling stress according to the transient thermal stress and the steady-state thermal stress; The seventh acquisition unit is configured to acquire local thermal stress according to the temperature change thermal stress and the current thermal stress correction value, and acquire thermal fatigue strength of a corresponding independent detection area according to the local thermal stress and the electrothermal coupling stress.

[0013] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned OLED display life evaluation method when executing the computer program.

[0014] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned OLED display life evaluation method are implemented.

[0015] The beneficial effects of the present invention are as follows: after dividing the display into multiple independent regions, the present invention can monitor each region separately, overcoming the overall uniformity deficiencies of OLED displays and avoiding errors caused by the limitations of overall testing. By obtaining real-time monitoring information, the status of the OLED display can be continuously and accurately controlled. By obtaining multiple data such as color brightness, current density, and temperature, the working status of each region can be fully understood. By calculating the thermal fatigue strength, the impact of thermal effects on the life of the display can be more accurately estimated. By calculating the erosion factor, the performance of the display under different usage conditions can be better understood, providing more appropriate usage recommendations for manufacturers and users. By combining the environmental erosion factor with the thermal fatigue strength, the degradation rate of the OLED display material can be more accurately assessed. By measuring the average brightness decay rate and color shift, the degradation trend of the display can be effectively determined. By combining the brightness decay rate, color shift, and material decay rate, an accurate life prediction value can be provided for each region. By combining the life prediction values ​​of multiple regions, the overall life of the display can be more accurately assessed, avoiding inaccurate predictions under unified standards. More accurate life predictions help improve the reliability and user satisfaction of OLED displays. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Schematic diagram of a method flow according to an embodiment of the present invention.

[0017] Figure 2 FIG. 1 is a schematic diagram of a system structure according to an embodiment of the present invention.

[0018] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0019] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] like Figure 1 As shown, the present application provides a method for evaluating the lifespan of an OLED display, comprising: S1. Divide the target OLED display into multiple independent detection areas with equal spacing, and obtain real-time monitoring information and real-time environmental information of each independent detection area under a preset working state; S2. Obtaining corresponding color brightness data, current density data, and temperature distribution data according to each piece of real-time monitoring information, and obtaining thermal fatigue strength of the corresponding independent detection area according to each piece of current density data and temperature distribution data; S3. Obtaining corresponding temperature and humidity distribution data and ambient oxygen concentration according to each of the real-time environmental information, and obtaining an environmental erosion factor corresponding to the independent detection area according to each of the temperature and humidity distribution data and ambient oxygen concentration; S4. Obtaining a material decay rate of a corresponding independent detection area according to each of the environmental corrosion factors and thermal fatigue strength; S5. Obtaining a corresponding initial brightness reference value and an initial color reference value according to each color brightness data, and obtaining an average brightness attenuation rate and a color offset of a corresponding independent detection area according to each initial brightness reference value and initial color reference value; S6. Obtain a regional life prediction value corresponding to the independent detection area according to each of the average brightness decay rate, color shift amount, and material decay rate, and obtain the overall life of the display according to the multiple regional life prediction values.

[0022] As described in the above steps S1-S6, the present invention divides the target OLED display into multiple independent detection areas at equal intervals. After dividing the display into multiple independent areas, each area can be monitored separately, which overcomes the overall uniformity deficiency of the OLED display. In this way, the brightness attenuation and color change of each area of ​​the display can be effectively detected, and the errors caused by the limitations of the overall test can be avoided. The luminescent material (such as the blue light emitting layer) is accurately monitored in different areas, and the decay of different areas can be understood in more detail, providing a basis for more accurate life prediction. In addition, the real-time monitoring information and real-time environmental information of each independent detection area under the preset working state are obtained, and the corresponding color is obtained through each real-time monitoring information. Brightness data, current density data and temperature distribution data, by obtaining real-time monitoring information, can ensure continuous and accurate control of the status of OLED displays. These data can reflect the impact of instantaneous environmental changes and working conditions, thereby predicting the behavior of displays in different environments. Real-time environmental information, such as temperature, humidity and oxygen concentration, can reflect the impact of external environmental changes on the display in real time, helping to solve the problem of unstable performance of OLED displays in different environments. By obtaining multiple data such as color brightness, current density, temperature, etc., we can fully understand the working status of each area. These factors directly affect the degradation of OLED materials and display performance, especially temperature and current density have a great impact on the stability of OLED materials. Significant impact. Since the temperature and current density in different areas of the OLED display may vary greatly, these data can help find potential hot spots and help predict the degradation process of different areas, avoid errors in the overall test, and obtain the thermal fatigue strength of the corresponding independent detection area based on each current density data and temperature distribution data. Thermal fatigue strength is an important factor in the degradation of OLED displays, especially when the display works for a long time or at high brightness, heat accumulation may accelerate material degradation. By calculating the thermal fatigue strength, the impact of thermal effects on the life of the display can be more accurately estimated. By combining the thermal fatigue strength with the specific data of each area, it can be found which areas are more susceptible to overheating, and then these areas can be tested. For more targeted optimization and management, the corresponding temperature and humidity distribution data and ambient oxygen concentration are obtained through each real-time environmental information, and the environmental erosion factor of the corresponding independent detection area is obtained based on each temperature and humidity distribution data and ambient oxygen concentration. During the use of OLED displays, environmental factors such as oxygen and water vapor play an important role in the erosion of materials. Real-time acquisition of temperature, humidity and oxygen concentration data can help understand the long-term impact of the external environment on the display. Differences in oxygen concentration, humidity and other factors in different environments will lead to different rates of OLED material degradation. Therefore, this data can improve the accuracy of life prediction and avoid the impact of environmental factors on the overall life assessment. The environmental erosion factor is another key factor in the degradation of OLED materials.Temperature, humidity, and oxygen concentration are important environmental parameters that affect the stability of OLED display materials. Using this data, we can quantify the environmental erosion effect on materials and derive more accurate degradation rates based on the specific conditions of different regions. Calculating the erosion factor provides a better understanding of display performance under different usage conditions, providing manufacturers and users with more practical recommendations. Each environmental erosion factor and thermal fatigue strength are combined to determine the material degradation rate for the corresponding independent test area. Combining these two factors allows for a more accurate assessment of the degradation rate of OLED display materials. This method considers the influence of multiple factors and is more comprehensive than relying solely on a single factor, such as temperature or current. Obtaining regional degradation rates helps reveal performance differences between regions, enabling early detection of potential material damage and prompt repair or adjustment. The corresponding initial brightness and color baseline values ​​are obtained for each color brightness data point. Based on each initial brightness and color baseline value, the average brightness decay rate and color shift for the corresponding independent test area are determined. Obtaining these initial brightness and color baseline values ​​provides an accurate starting point for subsequent degradation analysis, avoiding errors caused by unclear initial conditions. Monitoring color brightness is crucial for display performance evaluation, especially after long-term use, when the display's color and brightness may deteriorate. By obtaining an initial baseline value, subsequent color and brightness decay can be compared and analyzed. By measuring the average brightness decay rate and color shift, the display's decay trend can be effectively determined. Long-term tracking of this data can predict the display's state at a certain point in the future. Based on changes in brightness decay and color shift, the decay of different regions can be analyzed and areas requiring special attention can be identified, improving the accuracy of lifespan predictions. Regional lifespan predictions for each independent test area are obtained based on the average brightness decay rate, color shift, and material decay rate. The overall display lifespan is then calculated based on multiple regional lifespan predictions. By combining the brightness decay rate, color shift, and material decay rate, an accurate lifespan prediction can be provided for each region. This method is more refined and accurate than traditional methods that predict lifespan based on overall brightness decay and color change. Regional lifespan predictions can provide personalized maintenance and replacement strategies for different usage areas, thereby extending the overall service life of OLED displays. By combining the lifespan predictions from multiple regions, the overall display lifespan can be more accurately assessed. This method better reflects the actual usage of each display area than traditional overall testing, avoiding inaccurate predictions based on uniform standards. More accurate lifespan predictions help improve the reliability and user satisfaction of OLED displays.

[0023] In one embodiment, the step S1 of dividing the target OLED display into a plurality of independent detection areas at equal intervals includes: S11. Obtaining the diagonal length and screen resolution of the target OLED display, and obtaining the horizontal pixel count and the vertical pixel count according to the screen resolution; S12. Obtaining a pixel density according to the horizontal number of pixels, the vertical number of pixels, and the diagonal length, and obtaining a pixel pitch according to the pixel density and the diagonal length; S13, obtaining the signal noise of each pixel, and obtaining the noise influence range of each pixel according to the signal noise and the pixel spacing; S14, obtaining a preset noise interference threshold, and obtaining the amount of accommodated pixels according to the preset noise interference threshold and each noise influence range; S15. Divide the target OLED display into a plurality of independent detection areas at equal intervals according to the amount of accommodated pixels.

[0024] As described in the above steps S11-S15, the present invention obtains the diagonal length and screen resolution of the target OLED display, and obtains the horizontal pixel count and vertical pixel count according to the screen resolution, and obtains the pixel density through the horizontal pixel count, vertical pixel count and diagonal length. Through the accurate diagonal length and resolution, the physical parameters and resolution basis of the display can be established, and the necessary basic information is provided for subsequent calculation and division of the detection area, which helps to ensure the accuracy of the data and avoid problems caused by size or resolution measurement errors. The resolution of the screen directly determines the display accuracy of each pixel. Knowing the horizontal and vertical pixel counts, the position of each pixel and its relative distance can be known, which is very important for the subsequent pixel density calculation. The pixel density is an important indicator for measuring the clarity of the display image. By calculating the pixel density, we can understand the display quality of the screen and further deduce the degree of influence of pixel distribution and brightness decay in different areas. Areas with higher pixel density may be more susceptible to material decay, which provides theoretical support for accurately evaluating the life of each area. The pixel pitch is obtained based on the pixel density and diagonal length. The signal noise of each pixel is obtained, and the noise influence range of each pixel is obtained based on the signal noise and pixel pitch. The pixel pitch determines the fineness of the display. A smaller pitch may mean a more delicate image, but it may also decay faster due to factors such as heat in long-term use. The pixel spacing can help predict more precisely which areas may degrade faster due to heat or other environmental factors, especially when the display is running for a long time. The noise signal directly affects the display quality of the OLED display, especially in terms of display details and color stability. The noise level in different areas may be different, which is related to material degradation, thermal effects and environmental influences. By accurately obtaining the signal noise level, it is possible to identify in advance which areas may experience greater degradation, facilitating early warning and maintenance. By measuring the impact range of the noise, it is possible to further understand the specific impact of noise on display quality and identify which areas are most affected by noise. This step helps determine which areas need to be monitored in particular to ensure that the impact of noise on the display is taken into account when evaluating the life of the display. The potential impact of the display effect is determined by obtaining a preset noise interference threshold, and obtaining the amount of pixels accommodated based on the preset noise interference threshold and each noise influence range. The target OLED display is divided into multiple independent detection areas with equal spacing according to the amount of pixels accommodated. Setting the noise interference threshold helps to calibrate which noise levels exceed the tolerance range, thereby affecting the service life of the display. By setting the threshold, those noises that do not significantly affect the display effect can be effectively excluded, and those areas that may cause serious degradation can be monitored centrally. By analyzing the noise influence range and threshold, the amount of pixels that each area can accommodate can be calculated, thereby effectively dividing the detection area of ​​the display and helping to achieve refined area division, thereby ensuring targeted monitoring of the display effect of each area.Improving the accuracy of lifespan assessments, by dividing the display into multiple zones, allows for more detailed analysis and testing, avoiding the traditional method of testing the entire display in a single test. Different zones have different material degradation rates, and through zoned testing, the degradation of each zone can be more accurately assessed, providing a more precise lifespan prediction. This is of great significance for improving the accuracy and reliability of display lifespan predictions.

[0025] In one embodiment, the step S2 of obtaining the thermal fatigue strength of the corresponding independent detection area according to each of the current density data and the temperature distribution data includes: S21. Acquire material parameters of a target OLED display, wherein the material parameters include an electrothermal coupling coefficient, an elastic modulus, a thermal expansion coefficient, and a Poisson's ratio; S22. Obtaining a maximum allowable current density according to the current density data, and obtaining a current thermal stress correction value according to the maximum allowable current density, the current density data, and Poisson's ratio; S23, acquiring temperature data at multiple time points according to the temperature distribution data, and acquiring an average temperature and a temperature change rate according to the multiple temperature data; S24. Obtaining a temperature fluctuation amplitude according to the average temperature and the plurality of temperature data, and obtaining a temperature change thermal stress according to a product of the temperature fluctuation amplitude, an elastic modulus, and a thermal expansion coefficient; S25, obtaining steady-state thermal stress according to the product of the temperature fluctuation amplitude, the current density data, and the electrothermal coupling coefficient; S26. Obtaining transient thermal stress according to the temperature change rate and the thermal expansion coefficient, and obtaining electrothermal coupling stress according to the transient thermal stress and the steady-state thermal stress; S27 . Obtain local thermal stress according to the temperature change thermal stress and the current thermal stress correction value, and obtain thermal fatigue strength of the corresponding independent detection area according to the local thermal stress and the electrothermal coupling stress.

[0026] As described in the above steps S21-S27, the maximum allowable current density refers to the upper limit of the safe current allowed by the material or structural design. Exceeding this value may cause burning or accelerated aging. The Poisson's ratio can be used to quantify the effect of the transverse strain caused by the current on the longitudinal thermal stress. The present invention obtains the electrothermal coupling coefficient, elastic modulus, thermal expansion coefficient and Poisson's ratio of the material parameters of the target OLED display, obtains the maximum allowable current density through the current density data, and obtains the current thermal stress correction value based on the maximum allowable current density, current density data and Poisson's ratio. The electrothermal coupling coefficient can help calculate the thermal effect of the display caused by the change in current density. The elastic modulus and thermal expansion coefficient are important factors in calculating thermal stress, while the Poisson's ratio affects the material. The stress distribution of the material during thermal expansion. Through these physical parameters, the thermal response of OLED displays under different working conditions can be better simulated. The maximum allowable current density is the key to thermal management of OLED displays during operation. By limiting the maximum current density, overheating problems caused by excessive current can be avoided, which can lead to premature degradation or failure of the material, ensuring that the OLED display operates within a reasonable operating range, reducing thermal damage caused by excessive current, and extending the life of the display. By combining current density data and Poisson's ratio to correct the thermal stress model, the thermal stress effect caused by current changes can be more accurately predicted. Since current density affects the temperature change of the display, the corrected thermal stress can more realistically reflect the stress changes inside the material. , which helps to better evaluate the thermal fatigue of the display during long-term use. The temperature data at multiple time points are obtained through temperature distribution data, and the average temperature and temperature change rate are obtained based on multiple temperature data. The temperature fluctuation amplitude is obtained through the average temperature and multiple temperature data. Temperature is one of the key factors in the life of OLED displays, especially when the temperature difference in different areas may cause performance degradation. Obtaining temperature data at multiple time points can help analyze the temperature distribution of OLED displays under different working conditions, thereby providing an accurate temperature change curve, helping to evaluate the impact of temperature fluctuations on the display. By calculating the average temperature and temperature change rate, you can better understand the thermal management of the display during use. Temperature fluctuations and the rate of change directly affect the thermal expansion and stress changes of the material, thereby affecting the long-term stability of the display. This data can be used to predict whether the display will cause thermal fatigue due to too fast or too slow temperature changes. The temperature fluctuation amplitude can quantify the thermal fluctuation of the display under different working conditions, which is crucial for evaluating the thermal stability of OLED displays. Excessive thermal fluctuations may cause material performance degradation or even failure. Therefore, understanding the temperature fluctuation amplitude helps optimize the thermal management design of the display and reduce the risk of overheating or thermal attenuation. The temperature change thermal stress is obtained by multiplying the temperature fluctuation amplitude, elastic modulus and thermal expansion coefficient, and the steady-state thermal stress is obtained by multiplying the temperature fluctuation amplitude, current density data and electrothermal coupling coefficient.By combining the temperature fluctuation amplitude, elastic modulus and thermal expansion coefficient, the thermal stress caused by temperature changes can be accurately calculated. This thermal stress is an important indicator of material fatigue and damage. In this way, potential failures such as material deformation and crack formation can be predicted, providing early warning for design. Steady-state thermal stress reflects the thermal stress level of the system under long-term stable working conditions, taking into account the current density and electrothermal coupling effects. The calculation of steady-state thermal stress helps to evaluate the thermal stress impact of the display under stable operation and avoid material fatigue or thermal failure caused by continuous operation. Transient thermal stress is obtained by temperature change rate and thermal expansion coefficient, and electrothermal coupling stress is obtained based on transient thermal stress and steady-state thermal stress. Local thermal stress is obtained by temperature change thermal stress and current thermal stress correction value, and thermal fatigue strength of the corresponding independent detection area is obtained based on local thermal stress and electrothermal coupling stress. Transient thermal stress is the thermal stress generated by the display under rapidly changing working conditions, such as when turning the machine on and off. This part takes into account the impact of temperature change rate on the material and can effectively predict stress and Material damage helps improve the transient durability of displays. Electrothermal coupling stress comprehensively considers the stresses caused by current density and temperature changes, providing a comprehensive thermodynamic perspective for evaluating the long-term reliability of OLED displays. This calculation helps optimize design, ensures a reasonable stress distribution during operation, and avoids damage caused by stress concentration. Local thermal stress can more accurately reflect the thermal stress differences in different areas of the display. Because the light-emitting layer (especially the blue light-emitting layer) of OLED displays suffers from uneven degradation, local thermal stress analysis can help identify which areas may be subject to greater heat loads, thereby helping to optimize display design and mitigate uneven degradation. By calculating thermal fatigue strength, the lifespan of OLED displays over long periods of use can be effectively predicted. The thermal fatigue strength assessment takes into account the thermal stress distribution in different areas of the display, helping to avoid traditional evaluation methods that rely on brightness decay and color changes. It can effectively address the uneven performance degradation of OLED displays caused by environmental factors, thereby providing a more accurate and scientific basis for lifespan prediction.

[0027] In one embodiment, the step S3 of obtaining the environmental corrosion factor of the corresponding independent detection area according to each of the temperature and humidity distribution data and the ambient oxygen concentration includes: S31, obtaining the activation energy, cumulative working time and encapsulation layer thickness of the target OLED display, and obtaining the oxygen diffusion coefficient according to the encapsulation layer thickness and the ambient oxygen concentration; S32. Calculate the oxygen penetration depth according to the ambient oxygen concentration, the oxygen diffusion coefficient, the accumulated working time, and the thickness of the packaging layer, wherein the calculation formula is: ; Where, Y(SD) represents the oxygen penetration depth, H(YL) represents the ambient oxygen concentration, Y(KX) represents the oxygen diffusion coefficient, L(GZ) represents the cumulative working time, F(ZH) represents the thickness of the encapsulation layer, and erfc represents the complementary error function; S33, obtaining an oxygen corrosion weight coefficient and a humidity corrosion weight coefficient of the target OLED display, and obtaining an oxygen corrosion factor according to the product of the oxygen corrosion weight coefficient, the oxygen penetration depth, and the accumulated working time; S34, obtaining a real-time temperature value and a real-time humidity value according to the temperature and humidity distribution data, and obtaining a temperature activation decay factor according to the real-time temperature value and activation energy; S35 , obtaining a temperature and humidity corrosion factor according to the product of the real-time humidity value, the humidity corrosion weight coefficient, and the temperature activation decay factor, and obtaining an environmental corrosion factor according to the temperature and humidity corrosion factor and the oxygen corrosion factor.

[0028] As described in the above steps S31-S35, the calculation formula of the oxygen penetration depth is pre-normalized for parameters such as the ambient oxygen concentration, oxygen diffusion coefficient, cumulative working time and encapsulation layer thickness to eliminate the dimensional differences between different variables. The purpose is to ensure that all variables are on the same order of magnitude, thereby making the calculation more stable and effective. The oxygen penetration depth refers to the oxygen concentration at a certain depth of the OLED display encapsulation layer when oxygen invades. The prior art calculates the oxygen penetration depth by combining the gradient of the gas concentration along the space and the diffusion coefficient, but ignores the time change and may not accurately predict the oxygen penetration depth. The calculation formula of the oxygen penetration depth of the present invention is based on the physical principle of gas diffusion and uses the error The difference function can more accurately describe the diffusion process of oxygen in the medium, and the penetration depth calculated by time and diffusion coefficient can dynamically reflect the timeliness of the oxygen penetration process. The present invention obtains the activation energy, cumulative working time and encapsulation layer thickness of the target OLED display, and obtains the oxygen diffusion coefficient according to the encapsulation layer thickness and the ambient oxygen concentration. The activation energy is a key parameter to characterize the aging rate of OLED materials, which can reflect the stability and decay characteristics of the material at different temperatures. The cumulative working time is helpful to quantitatively analyze the impact of accumulated heat load, light and other external factors on the life of the display during the use of the OLED display. The thickness of the encapsulation layer will affect the protection degree of the OLED material, and thus affect the impact of factors such as oxygen and water vapor on the OLED. The degree of erosion of D, combined with activation energy, working time and packaging layer thickness, can more accurately simulate the aging process of the display in the actual environment. The oxygen diffusion coefficient describes the ability of oxygen to diffuse in the packaging material, which directly affects the degree of oxygen erosion of the OLED display. The thickness of the packaging layer and the ambient oxygen concentration determine the diffusion rate of oxygen. By accurately measuring the oxygen diffusion coefficient, it can help to understand the penetration rate of oxygen in the display packaging material, providing an important basis for the subsequent calculation of the oxygen erosion factor. The oxygen penetration depth is calculated by the ambient oxygen concentration, oxygen diffusion coefficient, cumulative working time and packaging layer thickness. The oxygen penetration depth is closely related to the life of the display. High oxygen concentration and long working time will accelerate the penetration of oxygen and increase the material. The oxidative degradation of materials can be predicted more accurately by calculating the oxygen penetration depth, especially the long-term impact under different usage conditions. It can quantify the risk of oxygen corrosion and help design more effective protective measures, such as using packaging materials with higher barrier properties. By obtaining the oxygen corrosion weight coefficient and humidity corrosion weight coefficient of the target OLED display, and obtaining the oxygen corrosion factor based on the oxygen corrosion weight coefficient, oxygen penetration depth and cumulative working hours, the oxygen corrosion weight coefficient and humidity corrosion weight coefficient are used to express the contribution of oxygen and humidity to the aging and performance degradation of OLED display materials. These two coefficients help to quantitatively analyze the impact of different environmental factors on the life of the display.Calculating the oxygen erosion factor can quantify the actual degree of oxygen damage to OLED displays and combine it with time to assess the impact during long-term use. Calculating the oxygen erosion factor can help us predict how OLED displays are affected by oxygen erosion in actual use, especially the degradation of key materials such as the display's blue light-emitting layer. This helps identify potential lifespan issues under different operating conditions. For example, excessively high temperatures and oxygen concentrations can significantly accelerate the degradation of the blue light layer. Real-time temperature and humidity values ​​are obtained through temperature and humidity distribution data, and the temperature activation degradation factor is obtained based on the real-time temperature and activation energy. The real-time temperature and humidity values ​​reflect the current state of the OLED display's environment. Changes in temperature and humidity directly affect the material degradation rate, with humidity having a particularly significant impact on OLEDs. Real-time monitoring of the display's temperature and humidity environment allows for dynamic adjustment of the prediction model and real-time evaluation of OLED display performance changes. By acquiring real-time data, the instantaneous impact of temperature and humidity on the display can be more accurately captured, assisting in lifespan prediction and maintenance during actual use. The temperature activation degradation factor, combined with the activation energy and actual temperature, can be used to determine the extent to which temperature affects the degradation of OLED display materials. The quantified impact of temperature on the lifespan of OLED displays can help design more precise temperature control solutions to reduce material degradation caused by temperature fluctuations. The temperature-activated degradation factor can dynamically adjust the lifespan prediction of OLED displays to better address the impact of temperature changes. The temperature-humidity erosion factor is obtained through real-time humidity values, humidity erosion weight coefficients, and the temperature-activated degradation factor. The environmental erosion factor is then derived from the temperature-humidity erosion factor and the oxygen erosion factor. The temperature-humidity erosion factor is a comprehensive factor that integrates the effects of temperature and humidity on OLED display material degradation, helping to more comprehensively evaluate the performance degradation of displays under specific environments. The calculation of the temperature-humidity erosion factor helps further quantify the impact of changing environmental conditions on the lifespan of OLED displays, providing a more refined lifespan prediction model that helps evaluate and optimize the display's operating environment and reduce material aging caused by high humidity and temperature fluctuations. The environmental erosion factor combines the combined effects of oxygen and humidity on OLED displays, providing a comprehensive indicator for comprehensive evaluation of display lifespan. Comprehensively considering the dual effects of oxygen and humidity can help more accurately assess the overall aging of displays under different environmental conditions and provide more accurate lifespan predictions.

[0029] In one embodiment, the step S5 of obtaining the average brightness attenuation rate and color shift of the corresponding independent detection area according to each of the initial brightness reference values ​​and the initial color reference values ​​includes: S51, obtaining real-time brightness reference values ​​of the target OLED display at multiple time points, and obtaining a corresponding real-time brightness attenuation rate according to each of the real-time brightness reference values ​​and the initial brightness reference value; S52, obtaining an average brightness decay rate according to the multiple real-time brightness decay rates; S53, obtaining an initial red channel value, an initial green channel value, and an initial blue channel value according to the initial color reference value; S54, obtaining a real-time red channel value according to the product of the initial red channel value and the average brightness attenuation rate, and obtaining a red channel offset according to the difference between the real-time red channel value and the initial red channel value; S55, obtaining a real-time blue channel value according to the product of the initial blue channel value and the average brightness attenuation rate, and obtaining a blue channel offset according to the difference between the real-time blue channel value and the initial blue channel value; S56, obtaining a real-time green channel value according to the product of the initial green channel value and the average brightness attenuation rate, and obtaining a green channel offset according to the difference between the real-time green channel value and the initial green channel value; S57 . Obtain a color offset according to the sum of the red channel offset, the blue channel offset, and the green channel offset.

[0030] As described in the above steps S51-S57, the present invention obtains the real-time brightness reference value of the target OLED display at multiple time points, and obtains the corresponding real-time brightness decay rate according to each real-time brightness reference value and the initial brightness reference value. By measuring the brightness reference value of the display at multiple time points, more comprehensive brightness change data can be obtained, avoiding the error that may occur in the measurement of a single time point, thereby improving the accuracy of the prediction and reducing the measurement deviation caused by environmental influences, thereby providing a reliable basis for subsequent decay analysis. By comparing the real-time brightness and the initial brightness at each time point, the brightness decay rate can be directly obtained, which helps to clarify the decay of the display under different usage time. The brightness decay rate is a key indicator for evaluating the performance degradation of the OLED display. The information can more accurately depict the decay rate of the display and help determine the life expectancy of the display. The average brightness decay rate is obtained through multiple real-time brightness decay rates. Calculating the average brightness decay rate helps to extract a comprehensive decay trend from data at multiple time points, avoiding inaccurate conclusions caused by abnormal conditions at a certain point in time. The average decay rate can more comprehensively reflect the overall decay trend of the display, thereby providing a basis for accurate life prediction, especially when the decay rates of different areas of the display are uneven. The initial red channel value, initial green channel value and initial blue channel value are obtained through the initial color reference value, and the real-time red channel value is obtained through the initial red channel value and the average brightness decay rate. The red channel offset is obtained by using the color channel value, the real-time blue channel value is obtained by the initial blue channel value and the average brightness attenuation rate, and the blue channel offset is obtained according to the real-time blue channel value and the initial blue channel value. The real-time green channel value is obtained by using the initial green channel value and the average brightness attenuation rate, and the green channel offset is obtained according to the real-time green channel value and the initial green channel value. The color offset is obtained by the red channel offset, the blue channel offset and the green channel offset. By combining the brightness attenuation rate with the initial values ​​of the red, blue and green channels, the channel values ​​of different colors are adjusted in real time to obtain more accurate color performance, which helps to accurately evaluate the attenuation rate of different color channels. This dynamic adjustment method can adapt to OLED displays. The decay differences in different areas or channels of the display provide more detailed decay data to solve the problem of uneven decay in different areas. By calculating the offset of the red channel, the changes in the red channel during use can be revealed. The decay of the blue light-emitting layer is usually more serious, so measuring the offset of the blue channel is particularly important, which helps to deeply analyze the stability of the blue channel and provide accurate data for life prediction. Due to the uneven performance of the blue light-emitting layer, the accurate measurement of the blue channel offset can effectively predict the blue changes of the display after long-term use, and improve the reliability of the prediction. Accurate green channel decay data helps to discover the cause of the uneven color of the display, so that corresponding measures can be taken to adjust and improve the display effect. Combined with the offset of the three color channels,It can comprehensively analyze the changing trends of the display's colors, thereby accurately judging the color stability of the display. This comprehensive analysis method can help accurately identify the root cause of the display's color changes, reduce the overall color distortion caused by local decay, and provide a more comprehensive basis for life prediction.

[0031] In one embodiment, the step S6 of obtaining the predicted value of the area life of the corresponding independent detection area according to each of the average brightness decay rate, color shift amount and material decay rate includes: S61, obtaining a brightness attenuation threshold and a color shift threshold of the target OLED display, and obtaining a corresponding remaining allowable brightness attenuation rate according to the brightness attenuation threshold and each average brightness attenuation rate; S62. Obtain a corresponding offset ratio according to the color offset threshold and each color offset, and calculate a comprehensive attenuation according to each offset ratio and a material decay rate, wherein the calculation formula is: ; Among them, Z(SJ) represents the comprehensive attenuation, C(SJ) represents the material decay rate, and P(BL) represents the offset ratio; S63. Obtain a predicted value of the area life of the corresponding independent detection area according to the ratio of each of the comprehensive attenuation amounts to the remaining allowable brightness attenuation rate.

[0032] As described in the above steps S61-S63, the calculation formula of the comprehensive attenuation is pre-normalized for parameters such as the offset ratio and the material decay rate to eliminate the dimensional differences between different variables. The purpose is to ensure that all variables are on the same order of magnitude, thereby making the calculation more stable and effective. The calculation of the attenuation in the prior art may rely on specific assumptions or conditions, such as a constant decay rate, etc., while the attenuation calculation formula in the present invention provides a dynamic calculation method that adapts to different concentration conditions, can more accurately describe the nonlinear characteristics of the attenuation process, and can better reflect the complex relationship between concentration and attenuation. The present invention obtains the brightness attenuation threshold and color of the target OLED display. The offset threshold is calculated, and the corresponding remaining allowable brightness decay rate is obtained according to the brightness decay threshold and each average brightness decay rate. This can help accurately calculate the remaining service life of each display area during the brightness decay process. By understanding the brightness decay rate of each area, regional life prediction can be performed according to actual conditions, which can make the life prediction more personalized and detailed, rather than using a global unified decay rate, thereby improving the accuracy and prediction accuracy of different display areas. The corresponding offset ratio is obtained by the color offset threshold and each color offset. Color offset is an important factor in the decay process of OLED displays. By converting the color offset into a ratio, the color can be more accurately evaluated and quantified. This detailed color change analysis can provide more accurate estimates when predicting the color distortion of the display, avoiding ignoring or underestimating the impact of color decay on user experience. The material decay rates in different areas of the OLED display may be different, and the way and speed of material decay are affected by a variety of external factors (such as temperature, humidity, usage time, etc.). The comprehensive attenuation is calculated based on each offset ratio and material decay rate. The regional life prediction value of the corresponding independent detection area is obtained through each comprehensive attenuation and the remaining allowable brightness decay rate. By combining the offset ratio and material decay rate of each area, the comprehensive decay amount of each area can be calculated, thereby better reflecting the actual life of the area. Life situation, can more comprehensively consider the material degradation factors, avoid the one-sidedness of traditional methods that only consider brightness or color decay, and make life prediction more accurate. Through the life prediction of independent areas, the usage of different areas can be more accurately evaluated. This is especially important for dealing with the unevenness problem caused by different degradation rates in OLED displays. The service life of different areas may be different. Regional-based life prediction can provide more personalized and detailed repair and replacement suggestions, help extend the service life of the entire equipment, and avoid premature overall replacement or unnecessary maintenance. It can also perform maintenance and optimization of different areas according to actual needs to improve the stability of the display and its performance after long-term use.

[0033] like Figure 2 As shown, the present application also provides an OLED display life evaluation system, comprising: A division module is used to divide the target OLED display into multiple independent detection areas with equal spacing, and obtain real-time monitoring information and real-time environmental information of each independent detection area under a preset working state; A first acquisition module is configured to acquire corresponding color brightness data, current density data, and temperature distribution data according to each of the real-time monitoring information, and to acquire thermal fatigue strength of the corresponding independent detection area according to each of the current density data and temperature distribution data; A second acquisition module is used to obtain corresponding temperature and humidity distribution data and ambient oxygen concentration according to each of the real-time environmental information, and to obtain an environmental erosion factor corresponding to the independent detection area according to each of the temperature and humidity distribution data and ambient oxygen concentration; A third acquisition module is used to obtain the material decay rate of the corresponding independent detection area according to each of the environmental corrosion factors and thermal fatigue strength; a fourth acquisition module, configured to acquire a corresponding initial brightness reference value and an initial color reference value according to each of the color brightness data, and to acquire an average brightness attenuation rate and a color offset of a corresponding independent detection area according to each of the initial brightness reference value and the initial color reference value; The fifth acquisition module is used to obtain a regional life prediction value of the corresponding independent detection area according to each of the average brightness decay rate, color offset and material decay rate, and obtain the overall life of the display according to multiple regional life prediction values.

[0034] In one embodiment, the first acquisition module includes: a first acquiring unit, configured to acquire material parameters of a target OLED display, wherein the material parameters include an electrothermal coupling coefficient, an elastic modulus, a thermal expansion coefficient, and a Poisson's ratio; a second acquiring unit, configured to acquire a maximum allowable current density according to the current density data, and acquire a current thermal stress correction value according to the maximum allowable current density, the current density data, and a Poisson's ratio; a third acquiring unit, configured to acquire temperature data at a plurality of time points according to the temperature distribution data, and acquire an average temperature and a temperature change rate according to the plurality of temperature data; a fourth acquiring unit, configured to acquire a temperature fluctuation amplitude according to the average temperature and a plurality of temperature data, and acquire a temperature change thermal stress according to the temperature fluctuation amplitude, the elastic modulus, and the thermal expansion coefficient; a fifth acquiring unit, configured to acquire steady-state thermal stress according to the temperature fluctuation amplitude, current density data, and electrothermal coupling coefficient; a sixth acquiring unit, configured to acquire transient thermal stress according to the temperature change rate and the thermal expansion coefficient, and acquire electrothermal coupling stress according to the transient thermal stress and the steady-state thermal stress; The seventh acquisition unit is configured to acquire local thermal stress according to the temperature change thermal stress and the current thermal stress correction value, and acquire thermal fatigue strength of a corresponding independent detection area according to the local thermal stress and the electrothermal coupling stress.

[0035] It should be noted that each module and unit in the OLED display life evaluation system corresponds one-to-one to the steps in the OLED display life evaluation method.

[0036] like Figure 3 As shown, the present application also provides a computer device, which can be a server, and its internal structure can be as shown in FIG. Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the computer design is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store all data required for the process of the OLED display life evaluation method. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the OLED display life evaluation method is implemented.

[0037] Those skilled in the art will understand that Figure 3 The structure shown in is merely a block diagram of a portion of the structure related to the present application solution and does not constitute a limitation on the computer device to which the present application solution is applied.

[0038] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, any of the above-mentioned OLED display life evaluation methods is implemented.

[0039] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and RAM bus dynamic RAM (RDRAM).

[0040] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0041] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for evaluating the lifespan of an OLED display, characterized in that: include: Divide the target OLED display into multiple independent detection areas with equal spacing, and obtain real-time monitoring information and real-time environmental information of each independent detection area under the preset working state; Obtaining corresponding color brightness data, current density data, and temperature distribution data according to each of the real-time monitoring information, and obtaining thermal fatigue strength of the corresponding independent detection area according to each of the current density data and temperature distribution data; Obtaining corresponding temperature and humidity distribution data and ambient oxygen concentration according to each of the real-time environmental information, and obtaining an environmental erosion factor corresponding to the independent detection area according to each of the temperature and humidity distribution data and ambient oxygen concentration; Obtaining a material decay rate of a corresponding independent detection area according to each of the environmental corrosion factors and thermal fatigue strength; Obtaining a corresponding initial brightness reference value and an initial color reference value according to each of the color brightness data, and obtaining an average brightness attenuation rate and a color offset of a corresponding independent detection area according to each of the initial brightness reference value and the initial color reference value; A regional life prediction value of a corresponding independent detection area is obtained according to each of the average brightness decay rate, color shift amount and material decay rate, and the overall life of the display is obtained according to multiple regional life prediction values.

2. The OLED display life evaluation method according to claim 1, characterized in that: The step of dividing the target OLED display into a plurality of independent detection areas with equal spacing includes: Obtaining the diagonal length and screen resolution of the target OLED display, and obtaining the horizontal pixel count and the vertical pixel count according to the screen resolution; Obtaining a pixel density according to the horizontal number of pixels, the vertical number of pixels, and the diagonal length, and obtaining a pixel pitch according to the pixel density and the diagonal length; Obtaining the signal noise of each pixel, and obtaining the noise influence range of each pixel based on the signal noise and the pixel spacing; Obtaining a preset noise interference threshold, and obtaining an amount of accommodated pixels according to the preset noise interference threshold and each noise influence range; The target OLED display is divided into a plurality of independent detection areas at equal intervals according to the amount of accommodated pixels.

3. The OLED display life evaluation method according to claim 1, characterized in that: The step of obtaining the thermal fatigue strength of the corresponding independent detection area according to each of the current density data and the temperature distribution data includes: Obtaining material parameters of a target OLED display, wherein the material parameters include an electrothermal coupling coefficient, an elastic modulus, a thermal expansion coefficient, and a Poisson's ratio; Obtaining a maximum allowable current density according to the current density data, and obtaining a current thermal stress correction value according to the maximum allowable current density, the current density data, and Poisson's ratio; Acquire temperature data at multiple time points according to the temperature distribution data, and acquire an average temperature and a temperature change rate according to the multiple temperature data; Obtaining a temperature fluctuation amplitude according to the average temperature and a plurality of temperature data, and obtaining a temperature change thermal stress according to the temperature fluctuation amplitude, elastic modulus, and thermal expansion coefficient; Obtaining steady-state thermal stress based on the temperature fluctuation amplitude, current density data, and electrothermal coupling coefficient; Obtaining transient thermal stress according to the temperature change rate and the thermal expansion coefficient, and obtaining electrothermal coupling stress according to the transient thermal stress and the steady-state thermal stress; The local thermal stress is obtained according to the temperature change thermal stress and the current thermal stress correction value, and the thermal fatigue strength of the corresponding independent detection area is obtained according to the local thermal stress and the electrothermal coupling stress.

4. The OLED display life evaluation method according to claim 1, characterized in that: The step of obtaining the environmental corrosion factor of the corresponding independent detection area according to each of the temperature and humidity distribution data and the ambient oxygen concentration includes: Obtaining the activation energy, cumulative operating time, and encapsulation layer thickness of the target OLED display, and obtaining the oxygen diffusion coefficient based on the encapsulation layer thickness and ambient oxygen concentration; The oxygen penetration depth is calculated based on the ambient oxygen concentration, oxygen diffusion coefficient, cumulative working time and packaging layer thickness, wherein the calculation formula is: ； Where, Y(SD) represents the oxygen penetration depth, H(YL) represents the ambient oxygen concentration, Y(KX) represents the oxygen diffusion coefficient, L(GZ) represents the cumulative working time, F(ZH) represents the thickness of the encapsulation layer, and erfc represents the complementary error function; Obtaining an oxygen corrosion weight coefficient and a humidity corrosion weight coefficient of a target OLED display, and obtaining an oxygen corrosion factor based on the oxygen corrosion weight coefficient, the oxygen penetration depth, and the accumulated operating time; Acquiring a real-time temperature value and a real-time humidity value according to the temperature and humidity distribution data, and acquiring a temperature activation decay factor according to the real-time temperature value and activation energy; A temperature and humidity erosion factor is obtained according to the real-time humidity value, the humidity erosion weight coefficient and the temperature activation decay factor, and an environmental erosion factor is obtained according to the temperature and humidity erosion factor and the oxygen erosion factor.

5. The OLED display life evaluation method according to claim 1, characterized in that: The step of obtaining the average brightness attenuation rate and color shift amount of the corresponding independent detection area according to each of the initial brightness reference value and the initial color reference value includes: Obtaining real-time brightness reference values ​​of the target OLED display at multiple time points, and obtaining a corresponding real-time brightness attenuation rate according to each of the real-time brightness reference values ​​and the initial brightness reference value; Obtaining an average brightness decay rate according to the multiple real-time brightness decay rates; Acquire an initial red channel value, an initial green channel value, and an initial blue channel value according to the initial color reference value; Obtaining a real-time red channel value according to the initial red channel value and the average brightness attenuation rate, and obtaining a red channel offset according to the real-time red channel value and the initial red channel value; Obtaining a real-time blue channel value according to the initial blue channel value and the average brightness attenuation rate, and obtaining a blue channel offset according to the real-time blue channel value and the initial blue channel value; Obtaining a real-time green channel value according to the initial green channel value and the average brightness attenuation rate, and obtaining a green channel offset according to the real-time green channel value and the initial green channel value; A color offset is obtained according to the red channel offset, the blue channel offset, and the green channel offset.

6. The OLED display life evaluation method according to claim 1, characterized in that: The step of obtaining a predicted value of the area life of the corresponding independent detection area according to each of the average brightness decay rate, color shift amount, and material decay rate comprises: Obtaining a brightness attenuation threshold and a color shift threshold of the target OLED display, and obtaining a corresponding remaining allowable brightness attenuation rate according to the brightness attenuation threshold and each average brightness attenuation rate; Obtaining a corresponding offset ratio according to the color offset threshold and each color offset, and obtaining a comprehensive attenuation according to each offset ratio and a material decay rate; The area life prediction value of the corresponding independent detection area is obtained according to each of the comprehensive attenuation amounts and the remaining allowed brightness attenuation rate.

7. An OLED display life evaluation system, characterized in that: include: A division module is used to divide the target OLED display into multiple independent detection areas with equal spacing, and obtain real-time monitoring information and real-time environmental information of each independent detection area under a preset working state; A first acquisition module is configured to acquire corresponding color brightness data, current density data, and temperature distribution data according to each of the real-time monitoring information, and to acquire thermal fatigue strength of the corresponding independent detection area according to each of the current density data and temperature distribution data; A second acquisition module is used to obtain corresponding temperature and humidity distribution data and ambient oxygen concentration according to each of the real-time environmental information, and to obtain an environmental erosion factor corresponding to the independent detection area according to each of the temperature and humidity distribution data and ambient oxygen concentration; A third acquisition module is used to obtain the material decay rate of the corresponding independent detection area according to each of the environmental corrosion factors and thermal fatigue strength; a fourth acquisition module, configured to acquire a corresponding initial brightness reference value and an initial color reference value according to each of the color brightness data, and to acquire an average brightness attenuation rate and a color offset of a corresponding independent detection area according to each of the initial brightness reference value and the initial color reference value; The fifth acquisition module is used to obtain a regional life prediction value of the corresponding independent detection area according to each of the average brightness decay rate, color offset and material decay rate, and obtain the overall life of the display according to multiple regional life prediction values.

8. The OLED display life evaluation system according to claim 7, characterized in that: The first acquisition module includes: a first acquiring unit, configured to acquire material parameters of a target OLED display, wherein the material parameters include an electrothermal coupling coefficient, an elastic modulus, a thermal expansion coefficient, and a Poisson's ratio; a second acquiring unit, configured to acquire a maximum allowable current density according to the current density data, and acquire a current thermal stress correction value according to the maximum allowable current density, the current density data, and a Poisson's ratio; a third acquiring unit, configured to acquire temperature data at a plurality of time points according to the temperature distribution data, and acquire an average temperature and a temperature change rate according to the plurality of temperature data; a fourth acquiring unit, configured to acquire a temperature fluctuation amplitude according to the average temperature and a plurality of temperature data, and acquire a temperature change thermal stress according to the temperature fluctuation amplitude, the elastic modulus, and the thermal expansion coefficient; a fifth acquiring unit, configured to acquire steady-state thermal stress according to the temperature fluctuation amplitude, current density data, and electrothermal coupling coefficient; a sixth acquiring unit, configured to acquire transient thermal stress according to the temperature change rate and the thermal expansion coefficient, and acquire electrothermal coupling stress according to the transient thermal stress and the steady-state thermal stress; The seventh acquisition unit is configured to acquire local thermal stress according to the temperature change thermal stress and the current thermal stress correction value, and acquire thermal fatigue strength of a corresponding independent detection area according to the local thermal stress and the electrothermal coupling stress.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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