Methods and apparatus for estimating the lifespan of display devices, and storage media

Abstract

This invention discloses a method, apparatus, and storage medium for estimating the lifespan of a display device. The method acquires the initial brightness value and the brightness value to be measured of the display device, and N pre-set lifespan estimation models corresponding to N brightness ranges. It further determines the brightness range to which the brightness value to be measured belongs, selects the lifespan estimation model corresponding to the brightness value to be measured from the N lifespan estimation models, and uses the selected lifespan estimation model to evaluate the lifespan of the display device when its brightness value is the brightness value to be measured. According to embodiments of this invention, the use of the same lifespan estimation model to evaluate the lifespan of the display device can be avoided, thereby improving the accuracy of the lifespan estimation of the display device.

Description

Technical Field

[0001] This invention relates to the field of product life testing technology, and in particular to a method and apparatus for estimating the life of a display device and a storage medium. Background Technology

[0002] In the development of display devices, lifespan is a crucial indicator of their performance. Currently, the same lifespan prediction model is consistently used when estimating the lifespan of display devices for any brightness value, making it impossible to accurately predict their lifespan.

[0003] Therefore, improving the accuracy of lifespan prediction for display devices is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] To address the technical problems in the prior art, embodiments of the present invention provide a method and apparatus for estimating the lifespan of a display device, as well as a storage medium, aiming to improve the accuracy of lifespan estimation for display devices.

[0005] In a first aspect, embodiments of the present invention provide a method for estimating the lifetime of a display device, the method comprising:

[0006] Obtain the initial brightness value and the brightness value to be measured of the display device, and obtain N lifetime prediction models corresponding to N brightness intervals; where the i-th brightness interval corresponds to the i-th lifetime prediction model, N is an integer greater than or equal to 2, and i≦N;

[0007] Based on the brightness range to which the measured brightness value belongs, select the lifetime prediction model corresponding to the measured brightness value from N lifetime prediction models;

[0008] Using the selected lifetime prediction model, the time it takes for the display device to decay from its initial brightness value to the measured brightness value is estimated. The time taken is the lifetime of the display device when its brightness value is the measured brightness value.

[0009] In one possible implementation of the first aspect, the method further includes:

[0010] Obtain the measured brightness decay curve of an experimental sample with the same properties as the display device under normal operating current;

[0011] N lifetime prediction models were used to predict the lifetime of the experimental sample, and the fitted brightness decay curves corresponding to each lifetime prediction model were obtained.

[0012] Based on the fitted brightness decay curves and the measured brightness decay curves, N brightness ranges and the correspondence between the N brightness ranges and the N lifetime prediction models are set.

[0013] In one possible implementation of the first aspect, based on each fitted brightness decay curve and the measured brightness decay curve, N brightness intervals and the correspondence between the N brightness intervals and the N lifetime prediction models are established, including:

[0014] Calculate the difference between the estimated lifetime value corresponding to each fitted brightness decay curve and the measured lifetime value corresponding to the measured brightness decay curve for each brightness value;

[0015] Based on the difference, N brightness ranges and their corresponding relationships with N lifetime prediction models are set so that the fitted brightness decay curve under the lifetime prediction model for each brightness range is closest to the measured brightness decay curve.

[0016] In one possible implementation of the first aspect, the method further includes:

[0017] The parameters of the corresponding lifetime prediction model are trained using the measured lifetime value and measured brightness value corresponding to the measured brightness decay curve, until the similarity between the fitted brightness decay curve of the lifetime prediction model and the measured brightness decay curve is greater than the similarity threshold.

[0018] In one possible implementation of the first aspect, using a selected lifetime prediction model, the time it takes for the display device to decay from an initial brightness value to the measured brightness value is estimated, including:

[0019] Input the initial brightness value and the brightness value to be measured into the selected preset lifetime prediction model to calculate the time it takes for the display device to decay from the initial brightness value to the brightness value to be measured.

[0020] In one possible implementation of the first aspect, the brightness range includes a first brightness range with brightness values ​​greater than or equal to a brightness threshold and a second brightness range with brightness values ​​less than or equal to the brightness threshold;

[0021] The first brightness range corresponds to the first lifetime prediction model, and the second brightness range corresponds to the second lifetime prediction model.

[0022] The expression for the first lifetime prediction model is:

[0023]

[0024] The expression for the second lifetime prediction model is:

[0025]

[0026] Where L0 is the initial brightness value, L t Let t be the brightness value to be measured, t be the lifespan of the display device when the brightness value is the brightness value to be measured, a and b be the parameters of the first lifespan prediction model, and c and d be the parameters of the second lifespan prediction model.

[0027] In one possible implementation of the first aspect, the ratio of the brightness threshold to the initial brightness value is between 0.85 and 0.95.

[0028] In one possible implementation of the first aspect, the display device includes an organic electroluminescent display device.

[0029] Secondly, embodiments of the present invention provide a lifetime estimation device for a display device, the lifetime estimation device for a display device comprising:

[0030] The data acquisition module is used to acquire the initial brightness value and the brightness value to be measured of the display device, and to acquire N lifetime prediction models corresponding to N brightness intervals; where the i-th brightness interval corresponds to the i-th lifetime prediction model, N is an integer greater than or equal to 2, and i≦N;

[0031] The model determination module is used to select the lifetime prediction model corresponding to the measured brightness value from N lifetime prediction models based on the brightness range to which the measured brightness value belongs.

[0032] The lifespan prediction module is used to predict the time it takes for the display device to decay from its initial brightness value to the measured brightness value using the selected lifespan prediction model. The time taken is the lifespan of the display device when its brightness value is the measured brightness value.

[0033] Thirdly, embodiments of the present invention provide a storage medium having a program stored thereon, wherein when the program is executed by a processor, it implements the lifespan estimation method for display devices as described in the first aspect.

[0034] The display device lifetime estimation method, apparatus, and storage medium provided in this embodiment of the invention acquire the initial brightness value and the brightness value to be measured of the display device, and N lifetime estimation models corresponding to N pre-set brightness ranges. Further, it determines the brightness range to which the brightness value to be measured belongs, selects the lifetime estimation model corresponding to the brightness value to be measured from the N lifetime estimation models, and uses the selected lifetime estimation model to evaluate the lifetime of the display device when the brightness value is the brightness value to be measured. Avoiding the use of the same lifetime estimation model to evaluate the lifetime of the display device all the time improves the accuracy of lifetime estimation. Attached Figure Description

[0035] The invention can be better understood from the following description of specific embodiments of the invention taken in conjunction with the accompanying drawings, wherein the same or similar reference numerals denote the same or similar features.

[0036] Figure 1 This is a flowchart illustrating a method for estimating the lifetime of a display device according to an embodiment of the present invention.

[0037] Figure 2A schematic diagram of the fitted brightness decay curve under a first lifetime prediction model provided in an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of the fitted brightness decay curve under the second lifetime prediction model provided in one embodiment of the present invention;

[0039] Figure 4 This is a schematic diagram showing the comparison between the fitted brightness decay curve and the measured brightness decay curve provided in one embodiment of the present invention.

[0040] Figure 5 A verification diagram provided for one embodiment of the present invention;

[0041] Figure 6 A verification schematic diagram provided for another embodiment of the present invention;

[0042] Figure 7 A verification schematic diagram provided for yet another embodiment of the present invention;

[0043] Figure 8 This is a schematic diagram of the lifespan prediction device for a display device provided in an embodiment of the present invention. Detailed Implementation

[0044] The features and exemplary embodiments of various aspects of the present invention will now be described in detail. Numerous specific details are set forth in the following detailed description in order to provide a thorough understanding of the invention.

[0045] The features and exemplary embodiments of various aspects of the present invention will now be described in detail. To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention and are not configured to limit the present invention. For those skilled in the art, the present invention can be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the invention.

[0046] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0047] To address at least one of the problems in the prior art, embodiments of the present invention provide a method and apparatus for estimating the lifetime of a display device, as well as a storage medium. The method for estimating the lifetime of a display device provided by embodiments of the present invention will be described first.

[0048] Figure 1 This is a flowchart illustrating a method for estimating the lifetime of a display device according to an embodiment of the present invention. Figure 1 As shown, the lifespan estimation method for display devices provided in this embodiment of the invention includes steps S10 to S30.

[0049] S10, obtain the initial brightness value and the brightness value to be measured of the display device, and obtain N lifetime prediction models corresponding to N brightness intervals; where the i-th brightness interval corresponds to the i-th lifetime prediction model, N is an integer greater than or equal to 2, and i≦N.

[0050] In some embodiments, the display device is an organic electroluminescent display device, such as an organic light-emitting diode (OLED) display.

[0051] In some embodiments, different lifetime performance requirements may be applied to display devices. For example, the lifetime performance requirement T90 represents the time it takes for the brightness of the display device to decay from its initial brightness value to 90% of its initial brightness value based on normal operating drive current. Assume the initial brightness value of the display device is 800 cd / m². 2 If the estimated lifespan of the display device is T50, then the measured brightness value is 400 cd / m². 2 That is, the estimated brightness of the display device is 800 cd / m². 2 Attenuation to the measured brightness value of 400 cd / m 2 The duration of the measurement. The specific value of the brightness to be measured can be set according to actual needs.

[0052] In some embodiments, brightness ranges corresponding to display devices and lifetime prediction models corresponding to each brightness range can be preset. For example, the measured brightness decay curves of experimental samples with the same properties as the display devices under normal operating current can be obtained; the lifetime of the experimental samples can be predicted using N lifetime prediction models to obtain fitted brightness decay curves corresponding to each lifetime prediction model; based on the fitted brightness decay curves and the measured brightness decay curves, N brightness ranges and the correspondence between the N brightness ranges and the N lifetime prediction models can be set.

[0053] For example, the experimental sample can be another display device manufactured on the same production line as the display device. Different display devices have different parameters, which may lead to different brightness ranges and lifespan prediction models. By using data from experimental samples with the same properties as the display device, setting the brightness range for the display device and the lifespan prediction model for each brightness range can improve the accuracy of the set brightness range and the lifespan prediction model for each brightness range, thereby more accurately predicting the lifespan of the display device.

[0054] For example, two or more lifetime prediction models can be set to predict the lifetime of experimental samples, and the fitted brightness decay curve predicted by each lifetime prediction model can be obtained. In this embodiment of the invention, two lifetime prediction models are set in advance as an example. Among them, the expression (1) of the first lifetime prediction model is:

[0055]

[0056] The expression (2) for the second life prediction model is:

[0057]

[0058] In the above expressions (1) and (2), L0 is the initial brightness value, L t The value to be measured is L. t Let t be the brightness value of the display device at time t, where t is the lifetime of the display device when the brightness value is the value to be measured, that is, the time it takes for the brightness value of the display device to decay from the initial brightness value to the value to be measured, a and b are the parameters of the first lifetime prediction model, and c and d are the parameters of the second lifetime prediction model.

[0059] For example, parameters a, b, c, and d are related to the properties of the display device, such as the material and structure of the display device.

[0060] For example, let The first lifetime prediction model is transformed, and the expression (3) of the transformed first lifetime prediction model is:

[0061] ln(-ln y)=b×ln t+ln a (3)

[0062] Figure 2 This is a schematic diagram of the fitted brightness decay curve under a first lifetime prediction model provided in an embodiment of the present invention. Figure 2 In the diagram, the vertical axis represents ln(-lny), which is ln(-ln(brightness value at time t / initial brightness value)). The horizontal axis represents lnt. Figure 2 The dashed line in the figure represents the fitting line corresponding to the first lifetime prediction model, and the solid line represents the measured brightness decay curve of the experimental sample under normal operating current.

[0063] Furthermore, The second lifetime prediction model is transformed, and the expression (4) of the transformed second lifetime prediction model is:

[0064] ln y=d×t+ln c (3)

[0065] Figure 3 This is a schematic diagram of the fitted brightness decay curve under the second lifetime prediction model provided in one embodiment of the present invention. Figure 3 In the diagram, the vertical axis represents lny, which is ln(brightness value at time t / initial brightness value). The horizontal axis represents the duration. Figure 3 The dashed line in the figure represents the fitting line corresponding to the second lifetime prediction model, and the solid line represents the measured brightness decay curve of the experimental sample under normal operating current.

[0066] Furthermore, to more easily compare the lifetime predicted by the lifetime prediction model with the measured lifetime, Figure 2 and Figure 3 The curve shown is transformed to obtain Figure 4 . Figure 4 This is a schematic diagram comparing the fitted brightness decay curve and the measured brightness decay curve according to an embodiment of the present invention. Figure 4 In the diagram, the vertical axis represents the ratio of the brightness value at time t to the initial brightness value, and the horizontal axis represents the duration. For example... Figure 4 As shown, curve 1 represents the fitted brightness decay curve corresponding to the first lifetime prediction model, curve 2 represents the fitted brightness decay curve corresponding to the second lifetime prediction model, and curve 3 represents the measured brightness decay curve. The fitted brightness decay curves corresponding to the first lifetime prediction model, the second lifetime prediction model, and the measured brightness decay curves are compared to establish the number and range of brightness intervals and the correspondence between the brightness intervals and the lifetime prediction models.

[0067] According to an embodiment of the present invention, the fitted brightness decay curve is compared with the measured brightness decay curve to divide the brightness range and determine the correspondence between the brightness range and the lifetime prediction model. This avoids using the same prediction model to predict any brightness value, thereby avoiding the problem of inaccurate lifetime prediction in certain brightness ranges.

[0068] In some embodiments, based on each fitted brightness decay curve and the measured brightness decay curve, N brightness intervals and the correspondence between the N brightness intervals and N lifetime prediction models are set, including: calculating the difference between the predicted lifetime value corresponding to each fitted brightness decay curve and the measured lifetime value corresponding to the measured brightness decay curve at each brightness value; based on the difference, N brightness intervals and the correspondence between the N brightness intervals and N lifetime prediction models are set, so that the fitted brightness decay curve under the lifetime prediction model corresponding to each brightness interval is closest to the measured brightness decay curve.

[0069] Please continue to refer to this. Figure 4 By comparing the fitted brightness decay curves corresponding to the first lifetime prediction model, the fitted brightness decay curves corresponding to the second lifetime prediction model, and the measured brightness decay curves, the measured lifetime value, the first estimated lifetime value predicted by the first lifetime prediction model, and the second estimated lifetime value predicted by the second lifetime prediction model for any brightness value can be determined. The difference between the first estimated lifetime value and the measured lifetime value, and the difference between the second estimated lifetime value and the measured lifetime value for any brightness value are calculated. The difference here is the lifetime prediction error of the lifetime prediction model.

[0070] Furthermore, the variation of the difference between each lifetime prediction model can be determined, and based on the variation of the difference between each lifetime prediction model, N brightness ranges and the correspondence between the N brightness ranges and the N lifetime prediction models can be set.

[0071] like Figure 4 As shown, roughly before T90, i.e., within the range from the initial brightness value to 90% of the initial brightness value, the difference corresponding to the first lifetime prediction model is relatively smaller than the difference corresponding to the second lifetime prediction model. That is, within the range from the initial brightness value to 90% of the initial brightness value, the fitted brightness decay curve 1 corresponding to the first lifetime prediction model is closest to the measured brightness decay curve 3. Approximately after T90, i.e., within the range from 90% to 0% of the initial brightness value... Figure 4 The figure only shows up to 60% of the initial brightness value. The difference between the second lifetime prediction model and the first lifetime prediction model is smaller. That is, in the range of 90% to 0% of the initial brightness value, the fitted brightness decay curve 2 corresponding to the second lifetime prediction model is closest to the measured brightness decay curve 3.

[0072] Furthermore, the number of brightness intervals can be set to two, and the brightness threshold can be set to 90% of the initial brightness value. Then, the range of the first brightness interval is from the initial brightness value to 90% of the initial brightness value, and the range of the second brightness interval is from 90% of the initial brightness value to 0% of the initial brightness value. The first brightness interval corresponds to the first lifetime prediction model, and the second brightness interval corresponds to the second lifetime prediction model.

[0073] Similarly, two or more lifetime prediction models can be set, and based on the difference between the predicted lifetime value and the measured lifetime value under the two or more lifetime prediction models, multiple brightness ranges and the correspondence between each brightness range and each lifetime prediction model can be determined.

[0074] Furthermore, after setting the brightness range and the correspondence between the brightness range and the lifespan prediction model, multiple experimental samples can be used to verify whether the above settings are appropriate. If not, the above settings can be further adjusted.

[0075] Figures 5 to 7 This is a schematic diagram illustrating the verification based on three experimental samples provided for three embodiments of the present invention. Figure 5 The figures are the first fitted brightness decay curve 1 under the first lifetime prediction model corresponding to the first experimental sample, the second fitted brightness decay curve 2 under the second lifetime prediction model, and the measured lifetime decay curve 3. Figure 5 The corresponding data is shown in Table 1. Table 1 shows the error of each lifetime prediction model under each lifetime index. The error in the table is the absolute value of the difference between the measured lifetime value corresponding to the measured brightness decay curve and the predicted lifetime value corresponding to each fitted brightness decay curve.

[0076] Table 1

[0077]

[0078] Figure 6 The figures are the first fitted brightness decay curve 1 under the first lifetime prediction model, the second fitted brightness decay curve 2 under the second lifetime prediction model, and the measured lifetime decay curve 3 for the second experimental sample. Figure 6 The corresponding data is shown in Table 2. Table 2 shows the error of each lifetime prediction model under each lifetime index. The error in the table is the absolute value of the difference between the measured lifetime value corresponding to the measured brightness decay curve and the predicted lifetime value corresponding to each fitted brightness decay curve.

[0079] Table 2

[0080]

[0081] Figure 7 The figures are the first fitted brightness decay curve 1 under the first lifetime prediction model, the second fitted brightness decay curve 2 under the second lifetime prediction model, and the measured lifetime decay curve 3 for the third experimental sample. Figure 7 The corresponding data is shown in Table 3. Table 3 shows the error of each lifetime prediction model under each lifetime index. The error in the table is the absolute value of the difference between the measured lifetime value corresponding to the measured brightness decay curve and the predicted lifetime value corresponding to each fitted brightness decay curve.

[0082] Table 3

[0083] Lifespan Indicators T97 T95 T90 T85 Error (Hr1) of the second lifetime prediction model 120 188 150 5 Error (Hr2) of the first lifetime prediction model 68 10 286 524

[0084] Based on the data above, it can be seen that the lifetime prediction model is more accurate before T90, while the lifetime prediction model is more accurate after T90. Correspondingly, the ratio of the brightness threshold to the initial brightness value can be set between 0.85 and 0.95.

[0085] According to an embodiment of the present invention, based on the difference between the estimated lifetime value and the measured lifetime value under the lifetime prediction model, the fitted brightness decay curve under the lifetime prediction model corresponding to each brightness range is determined to be closest to the measured brightness decay curve, so that the lifetime prediction model with the smallest error corresponding to each brightness range is obtained, thereby improving the accuracy of lifetime prediction of display devices.

[0086] In some embodiments, a lifetime prediction model can be pre-trained to obtain the optimal parameters of the lifetime prediction model, so that the trained lifetime prediction model can be directly used when predicting the lifetime of display devices. For example, the parameters of the corresponding lifetime prediction model can be trained using the measured lifetime values ​​and measured brightness values ​​within a preset range of the measured brightness decay curve, until the similarity between the fitted brightness decay curve corresponding to the lifetime prediction model and the measured brightness decay curve is greater than a preset similarity threshold.

[0087] For example, initial values ​​for parameters a and b of the first lifetime prediction model can be set first. These initial values ​​are then used to predict the lifetime of the display device, resulting in an initial fitted brightness decay curve corresponding to the first lifetime prediction model. The similarity between this initial fitted brightness decay curve and the measured brightness decay curve is then calculated. It is determined whether this similarity is greater than a preset similarity threshold. If not, the values ​​of parameters a and b of the first lifetime prediction model are adjusted, and the adjusted parameter values ​​are used to predict the lifetime of the display device. This process continues until the similarity between the fitted brightness decay curve of the lifetime prediction model and the measured brightness decay curve is greater than the preset similarity threshold, thus obtaining the optimal values ​​for the parameters of the first lifetime prediction model. Similarly, the optimal values ​​for parameters c and d of the second lifetime prediction model can be trained using the above method.

[0088] For example, multiple sets of values ​​for parameters a and b of the first lifetime prediction model can be set first, and the similarity between the fitted brightness decay curve of the first lifetime prediction model and the measured brightness decay curve under each set of parameters a and b can be calculated. The set of a and b values ​​with the highest similarity can be selected as the optimal values ​​of the parameters of the first lifetime prediction model. Similarly, the optimal values ​​of parameters c and d of the second lifetime prediction model can be obtained using the above method.

[0089] According to embodiments of the present invention, the optimal values ​​of various lifetime prediction model parameters can be obtained, thereby improving the accuracy of lifetime prediction.

[0090] S20, based on the brightness range to which the brightness value to be measured belongs, select the lifetime prediction model corresponding to the brightness value to be measured from N lifetime prediction models.

[0091] For example, the initial brightness value of the display device is 1000 cd / m². 2 The measured brightness value is 600 cd / m². 2 The first brightness range is T100 to T90, and the second brightness range is T90 to 0. Therefore, the brightness range to which the measured brightness value belongs is the second brightness range. The first brightness range corresponds to the first lifetime prediction model, and the second brightness range corresponds to the second lifetime prediction model. Therefore, the lifetime prediction model corresponding to the measured brightness value is the second lifetime prediction model.

[0092] S30, using the selected lifespan prediction model, predicts the time it takes for the display device to decay from its initial brightness value to the measured brightness value. The time taken is the lifespan of the display device when its brightness value is the measured brightness value.

[0093] In some embodiments, using a selected lifetime prediction model, predicting the time it takes for a display device to decay from an initial brightness value to a measured brightness value includes: inputting the initial brightness value and the measured brightness value into a selected preset lifetime prediction model, and calculating the time it takes for the display device to decay from the initial brightness value to the measured brightness value.

[0094] For example, the brightness range to which the measured brightness value belongs is the second brightness range, and the lifetime prediction model corresponding to the measured brightness value is the second lifetime prediction model, with the initial brightness value being 1000 cd / m². 2 And the measured brightness value is 600 cd / m² 2 Input the expression of the second lifetime prediction model to calculate the time it takes for the display device to decay from the initial brightness value to the measured brightness value, and obtain the lifetime corresponding to the lifetime index T60.

[0095] Therefore, the lifespan estimation method for display devices provided in this embodiment of the invention obtains the initial brightness value and the brightness value to be measured of the display device, and N lifespan estimation models corresponding to N pre-set brightness ranges. It further determines the brightness range to which the brightness value to be measured belongs, selects the lifespan estimation model corresponding to the brightness value to be measured from the N lifespan estimation models, and uses the selected lifespan estimation model to evaluate the lifespan of the display device when its brightness value is the brightness value to be measured. Avoiding the use of the same lifespan estimation model to evaluate the lifespan of the display device all the time improves the accuracy of lifespan estimation.

[0096] Figure 8 This is a schematic diagram of a display device lifetime prediction device provided in one embodiment of the present invention. Figure 8As shown, the lifespan prediction device for display devices includes the following modules:

[0097] The data acquisition module 801 is used to acquire the initial brightness value and the brightness value to be measured of the display device, and to acquire N lifetime prediction models corresponding to N brightness intervals; wherein, the i-th brightness interval corresponds to the i-th lifetime prediction model, N is an integer greater than or equal to 2, and i≦N;

[0098] The model determination module 802 is used to select the lifetime prediction model corresponding to the brightness value to be measured from N lifetime prediction models based on the brightness range to which the brightness value to be measured belongs.

[0099] The lifespan prediction module 803 is used to predict, using a selected lifespan prediction model, the time it takes for the display device to decay from an initial brightness value to a measured brightness value, where the time taken is the lifespan of the display device when its brightness value is the measured brightness value.

[0100] In some embodiments, the device further includes a brightness range and lifetime prediction model setting module, used for:

[0101] Obtain the measured brightness decay curve of an experimental sample with the same properties as the display device under normal operating current;

[0102] N lifetime prediction models were used to predict the lifetime of the experimental sample, and the fitted brightness decay curves corresponding to each lifetime prediction model were obtained.

[0103] Based on the fitted brightness decay curves and the measured brightness decay curves, N brightness ranges and the correspondence between the N brightness ranges and the N lifetime prediction models are set.

[0104] In some implementations, the brightness range and prediction model setting module is specifically used for:

[0105] Calculate the difference between the estimated lifetime value corresponding to each fitted brightness decay curve and the measured lifetime value corresponding to the measured brightness decay curve for each brightness value;

[0106] Based on the difference, N brightness ranges and their corresponding relationships with N lifetime prediction models are set so that the fitted brightness decay curve under the lifetime prediction model for each brightness range is closest to the measured brightness decay curve.

[0107] In some embodiments, the device further includes a lifetime prediction model training module for:

[0108] The parameters of the corresponding lifetime prediction model are trained using the measured lifetime value and measured brightness value corresponding to the measured brightness decay curve, until the similarity between the fitted brightness decay curve of the lifetime prediction model and the measured brightness decay curve is greater than the similarity threshold.

[0109] In some implementations, the lifetime prediction module 803 is specifically used for:

[0110] Input the initial brightness value and the brightness value to be measured into the selected preset lifetime prediction model to calculate the time it takes for the display device to decay from the initial brightness value to the brightness value to be measured.

[0111] In some implementations, the brightness range includes a first brightness range with brightness values ​​greater than or equal to a brightness threshold and a second brightness range with brightness values ​​less than or equal to the brightness threshold;

[0112] The first brightness range corresponds to the first lifetime prediction model, and the second brightness range corresponds to the second lifetime prediction model.

[0113] The expression for the first lifetime prediction model is:

[0114]

[0115] The expression for the second lifetime prediction model is:

[0116]

[0117] Where L0 is the initial brightness value, L t Let t be the brightness value to be measured, t be the lifespan of the display device when the brightness value is the brightness value to be measured, a and b be the parameters of the first lifespan prediction model, and c and d be the parameters of the second lifespan prediction model.

[0118] In some implementations, the ratio of the brightness threshold to the initial brightness value is between 0.85 and 0.95.

[0119] In some embodiments, the display device includes an organic electroluminescent display device.

[0120] Thus, the lifespan prediction device for a display device provided according to an embodiment of the present invention acquires the initial brightness value and the brightness value to be measured of the display device, and N lifespan prediction models corresponding to N pre-set brightness ranges. It further determines the brightness range to which the brightness value to be measured belongs, selects the lifespan prediction model corresponding to the brightness value to be measured from the N lifespan prediction models, and uses the selected lifespan prediction model to evaluate the lifespan of the display device when its brightness value is the brightness value to be measured. Avoiding the consistent use of the same lifespan prediction model to evaluate the lifespan of the display device improves the accuracy of lifespan prediction.

[0121] Furthermore, in conjunction with the display device lifespan estimation method in the above embodiments, this invention can be implemented using a computer storage medium. This computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the display device lifespan estimation methods in the above embodiments.

[0122] It should be clarified that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. For the device embodiments, relevant parts can be referred to the description section of the method embodiments. The embodiments of the present invention are not limited to the specific steps and structures described above and shown in the figures. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the embodiments of the present invention. Furthermore, for the sake of brevity, detailed descriptions of known methods and techniques are omitted here.

[0123] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this embodiment are programs or code segments used to perform the required tasks. The programs or code segments can be stored in a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0124] The embodiments of the present invention may be implemented in other specific forms without departing from their spirit and essential characteristics. For example, the algorithm described in a particular embodiment may be modified, while the system architecture does not depart from the basic spirit of the embodiments of the present invention. Therefore, the present embodiments are to be regarded as exemplary rather than limiting in all respects, and the scope of the embodiments of the present invention is defined by the appended claims rather than the foregoing description, and all changes falling within the meaning of the claims and their equivalents are thus included within the scope of the embodiments of the present invention.

Claims

1. A method for estimating the lifespan of a display device, characterized in that, The method includes: Obtain the initial brightness value and the brightness value to be measured of the display device, and obtain N lifetime prediction models corresponding to N brightness intervals; where the i-th brightness interval corresponds to the i-th lifetime prediction model, N is an integer greater than or equal to 2, and i≦N; Based on the brightness range to which the measured brightness value belongs, select the lifetime prediction model corresponding to the measured brightness value from the N lifetime prediction models; Using the selected lifetime prediction model, the time it takes for the display device to decay from the initial brightness value to the measured brightness value is estimated, where the time taken is the lifetime of the display device when the brightness value of the display device is the measured brightness value. Obtain the measured brightness decay curve of an experimental sample with the same properties as the display device under normal operating current; The lifetime of the experimental sample is predicted using N lifetime prediction models, and the fitted brightness decay curve corresponding to each lifetime prediction model is obtained. Based on the fitted brightness decay curves and the measured brightness decay curves, N brightness intervals and the correspondence between the N brightness intervals and the N lifetime prediction models are set.

2. The method according to claim 1, characterized in that, The step of setting N brightness intervals and their corresponding relationships with N lifetime prediction models based on the fitted brightness decay curves and the measured brightness decay curves includes: Calculate the difference between the estimated lifetime value corresponding to each fitted brightness decay curve and the measured lifetime value corresponding to the measured brightness decay curve at each brightness value; Based on the difference, N brightness intervals and the correspondence between the N brightness intervals and the N lifetime prediction models are set, so that the fitted brightness decay curve under the lifetime prediction model corresponding to each brightness interval is closest to the measured brightness decay curve.

3. The method according to claim 1, characterized in that, The method further includes: The parameters of the corresponding lifetime prediction model are trained using the measured lifetime value and measured brightness value within a preset range of the measured brightness decay curve, until the similarity between the fitted brightness decay curve corresponding to the lifetime prediction model and the measured brightness decay curve is greater than a similarity threshold.

4. The method according to claim 1, characterized in that, The step of using the selected lifetime prediction model to predict the time it takes for the display device to decay from the initial brightness value to the measured brightness value includes: The initial brightness value and the brightness value to be measured are input into the selected lifetime prediction model to calculate the time it takes for the display device to decay from the initial brightness value to the brightness value to be measured.

5. The method according to claim 1, characterized in that, The brightness range includes a first brightness range with a brightness value greater than or equal to a brightness threshold and a second brightness range with a brightness value less than or equal to the brightness threshold. The first brightness range corresponds to the first lifetime prediction model, and the second brightness range corresponds to the second lifetime prediction model. The expression for the first lifetime prediction model is: The expression for the second lifetime prediction model is: in, The initial brightness value, Let t be the brightness value to be measured, t be the lifespan of the display device when the brightness value is the brightness value to be measured, a and b be the parameters of the first lifespan prediction model, and c and d be the parameters of the second lifespan prediction model.

6. The method according to claim 5, characterized in that, The ratio of the brightness threshold to the initial brightness value is between 0.85 and 0.

95.

7. The method according to any one of claims 1-6, characterized in that, The display device includes an organic electroluminescent display device.

8. A lifespan prediction device for a display device, characterized in that, The device includes: The data acquisition module is used to acquire the initial brightness value and the brightness value to be measured of the display device, and to acquire N lifetime prediction models corresponding to N brightness intervals; where the i-th brightness interval corresponds to the i-th lifetime prediction model, N is an integer greater than or equal to 2, and i≦N; The model determination module is used to select the lifetime prediction model corresponding to the measured brightness value from the N lifetime prediction models according to the brightness range to which the measured brightness value belongs; The lifespan prediction module is used to predict, using the selected lifespan prediction model, the time it takes for the display device to decay from the initial brightness value to the measured brightness value, wherein the time taken is the lifespan of the display device when the brightness value of the display device is the measured brightness value; The brightness range and lifetime prediction model setting module is used to obtain the measured brightness decay curve of an experimental sample with the same properties as the display device under normal operating current; to predict the lifetime of the experimental sample using N lifetime prediction models, and to obtain the fitted brightness decay curve corresponding to each lifetime prediction model; and to set N brightness ranges and the correspondence between the N brightness ranges and the N lifetime prediction models based on the fitted brightness decay curves and the measured brightness decay curves.

9. A storage medium having a program stored thereon, wherein, When the program is executed by the processor, it implements the lifespan prediction method for the display device as described in any one of claims 1-7.

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