Temperature rise prediction method and prediction device
By obtaining the target equivalent image of the display panel and using the temperature rise model to convert grayscale values, the accurate prediction of the temperature rise of the display panel is achieved, solving the problem of high cost of traditional temperature sensors.
Patent Information
- Application Number
- CN202311734966.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-15
- Publication Date
- 2025-06-17
AI Technical Summary
In the prior art, the temperature sensor used to monitor the temperature rise of the display panel is costly and it is difficult to achieve efficient temperature rise prediction.
By obtaining the target equivalent image of the display panel, using the preset color grayscale value and temperature rise model, the grayscale value of the subpixel is converted, and the temperature increase value of the current area is predicted.
Accurate prediction of the temperature rise of the display panel is achieved, reducing costs and avoiding the use of traditional temperature sensors.
Smart Images
Figure CN120162928A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of display technologies, and particularly to a method and a device for predicting temperature rise. Background Art
[0002] A display panel generates heat during display, and excessive heat will affect the display effect. In the prior art, a temperature sensor is generally used to monitor the temperature rise of the display panel, but the cost of the temperature sensor is relatively high. Summary of the Invention
[0003] This application provides a method and a device for predicting temperature rise, which can realize the prediction of the temperature rise of the display panel.
[0004] A first aspect of this application provides a method for predicting temperature rise. The method includes: obtaining a target equivalent image of a current area from an initial moment to the current moment, where the target equivalent image includes the gray-scale values of sub-pixels of multiple colors that form a pixel unit; for each sub-pixel of each color in the target equivalent image, converting the gray-scale value of the sub-pixel in the target equivalent image according to the conversion relationship between the gray-scale value of the sub-pixel and a preset color gray-scale value, to obtain the target gray-scale value of the sub-pixel, where the conversion relationship is the conversion relationship between the gray-scale value of the sub-pixel and the preset color gray-scale value when the same temperature rise occurs; determining a first temperature rise value of the current area according to a pre-established temperature rise model and the target gray-scale value of each sub-pixel of each color, where the temperature rise model represents the relationship between the temperature rise value of the current area and the preset color gray-scale value after lighting the sub-pixels corresponding to the preset color gray-scale value in the current area.
[0005] In a second aspect of the present application, a temperature rise prediction device is provided. The prediction device includes: an acquisition module configured to acquire a target equivalent image of a current area from an initial moment to the current moment, where the target equivalent image includes grayscale values of sub-pixels of multiple colors that constitute a pixel unit; a conversion module connected to the acquisition module and configured to, for each sub-pixel of each color in the target equivalent image, convert the grayscale value of the sub-pixel in the target equivalent image according to a conversion relationship between the grayscale value of the sub-pixel and a preset color grayscale value to obtain a target grayscale value of the sub-pixel, where the conversion relationship is the conversion relationship between the grayscale value of the sub-pixel and the preset color grayscale value when the same temperature rise occurs; a first determination module connected to the conversion module and configured to determine a first temperature rise value of the current area according to a pre-established temperature rise model and the target grayscale value of each sub-pixel of each color, where the temperature rise model represents the relationship between the temperature rise value of the current area and the preset color grayscale value after lighting the sub-pixels corresponding to the preset color grayscale value in the current area.
[0006] In a third aspect of the present application, a temperature rise prediction device is provided. The prediction device includes a processor and a memory. The processor is coupled to the memory, and program data is stored in the memory. The processor implements the steps in the method according to any one of the above embodiments by executing the program data in the memory.
[0007] The beneficial effects are as follows: By acquiring the target equivalent image from the initial moment to the current moment, normalizing the grayscale value in the target equivalent image to the grayscale value of a preset color, that is, converting the grayscale value of each sub-pixel of each color in the target equivalent image to a target grayscale value according to the conversion relationship, and substituting the target grayscale value into the pre-established temperature rise model, the first temperature rise value of the current area can be determined, thereby realizing the prediction of the temperature rise of the display panel at the current moment. Description of the Drawings
[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts, where:
[0009] Figure 1 is a flowchart of an implementation manner of the temperature rise prediction method of the present application;
[0010] Figure 2 is a structural schematic diagram of a display area of a display panel of the present application in an implementation manner;
[0011] Figure 3 It is a data graph showing the conversion relationship between the white gray-scale value and the gray-scale values of the red, green, and blue sub-pixels;
[0012] Figure 4 It is a schematic diagram of the temperature rise model of the white gray-scale value;
[0013] Figure 5 It is a schematic diagram of the temperature rise model of the red gray-scale value;
[0014] Figure 6 It is Figure 1 A schematic flowchart of an implementation manner of step S300 in
[0015] Figure 7 It is Figure 1 A schematic flowchart of an implementation manner of step S100 in
[0016] Figure 8 It is Figure 7 A schematic flowchart of an implementation manner of step S120 in
[0017] Figure 9 It is Figure 7 A schematic flowchart of an implementation manner of step S110 in
[0018] Figure 10 It is a schematic diagram showing the division of time periods from the initial moment to the current moment;
[0019] Figure 11 It is a schematic flowchart of another implementation manner of the temperature rise prediction method of the present application;
[0020] Figure 12 It is Figure 11 A schematic flowchart of an implementation manner of step S400 in
[0021] Figure 13 It is Figure 12 A schematic flowchart of an implementation manner of step S420 in
[0022] Figure 14 It is a schematic structural diagram of an implementation manner of the temperature rise prediction device of the present application;
[0023] Figure 15 It is a schematic structural diagram of another implementation manner of the temperature rise prediction device of the present application;
[0024] Figure 16 It is a schematic structural diagram of an implementation manner of the computer-readable storage medium of the present application. Specific embodiments
[0025] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.
[0026] It should be noted that the terms "first" and "second" in the present application are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present application, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.
[0027] Please refer to Figure 1 and Figure 2 , the present application provides a method for predicting temperature rise, and the method includes:
[0028] Step S100: Obtain a target equivalent image of the current area A from the initial moment to the current moment, and the target equivalent image includes the gray scale values of sub-pixels of multiple colors that make up a pixel unit.
[0029] Specifically, the current area refers to the area currently being analyzed, and through steps S100 - S300, the first temperature increase value of the current area A from the initial moment to the current moment can be obtained.
[0030] Among them, the current area A can be the entire display area or one of the sub-areas included in the display area. Among them, if the current area A is one of the sub-areas included in the display area, each sub-area included in the display area can be used as the current area A respectively, and then steps S100 - S300 are executed for each sub-area. In an application scenario, as Figure 2 shown, the display area AA is divided into multiple sub-areas, and then steps S100 - S300 are executed for each sub-area to obtain the first temperature increase value of each sub-area from the initial moment to the current moment.
[0031] Among them, the current area A may include one pixel unit or multiple pixel units. The pixel unit may be composed of multiple sub-pixels such as red, green, blue, yellow, etc. For the convenience of description, hereinafter, it is assumed that the pixel unit is composed of three sub-pixels: red, green, and blue.
[0032] Among them, the target equivalent image includes the gray-scale values of multiple sub-pixels constituting one pixel unit. When the pixel unit is composed of three sub-pixels: red, green, and blue, the target equivalent image includes the gray-scale value of the red sub-pixel, the gray-scale value of the green sub-pixel, and the gray-scale value of the blue sub-pixel. It can be understood that the first temperature increase value of the current area A from the initial moment to the current moment is related to the screen display situation of the current area A from the initial moment to the current moment, that is, related to the target equivalent image.
[0033] In an embodiment, the current moment is the current sampling moment after the temperature of the display panel is stable, that is, the purpose of this application is to obtain the temperature increase value of the current area A in the display panel at the current moment relative to the initial moment after the temperature of the display panel is stable. The stability of the display panel temperature means that the temperature of the display panel does not change or the change value is very small (for example, not exceeding a preset temperature threshold). For example, if it is considered that the temperature of the display panel gradually stabilizes after 3600 s from the start of display, the time interval between the current moment and the initial moment is greater than 3600 s.
[0034] Step S200: For each color sub-pixel in the target equivalent image, according to the conversion relationship between the gray-scale value of the sub-pixel and the preset color gray-scale value, convert the gray-scale value of the sub-pixel in the target equivalent image to obtain the target gray-scale value of the sub-pixel. Among them, the conversion relationship is the conversion relationship between the gray-scale value of the sub-pixel and the preset color gray-scale value when the temperature rises by the same amount.
[0035] Specifically, the preset color gray-scale value may be a white gray-scale value, a red gray-scale value, a green gray-scale value, a blue gray-scale value, etc. The conversion relationship is the relationship of converting the gray-scale value of a certain color sub-pixel to the preset color gray-scale value when the temperature rises by the same amount. Exemplarily, when the preset color gray-scale value is the white gray-scale value, step S200 is to convert the gray-scale values of the red sub-pixel, the green sub-pixel, and the blue sub-pixel into the white gray-scale value. It is equivalent to normalizing the gray-scale values of multiple different sub-pixels to the gray-scale value of a preset color to obtain the target gray-scale value of each sub-pixel in the target equivalent image, which simplifies the correspondence between temperature and gray scale.
[0036] Step S300: Determine a first temperature rise value of the current region A according to a pre-established temperature rise model and the target gray scale values of the sub-pixels of each color. The temperature rise model characterizes the relationship between the temperature rise value of the current region and the preset gray scale value after the sub-pixels corresponding to the preset gray scale value in the current region are lit.
[0037] Specifically, a temperature rise model is pre-established. The specific process can be: after all the sub-pixels of the preset color in the target region are lit, the corresponding relationship between the temperature rise value of the target region and the gray scale value of the sub-pixels is statistically obtained, and finally the temperature rise model is obtained. The size of the target region and the current region may be equal or not, which is not limited here.
[0038] In step S200, after obtaining the target gray scale values of each sub-pixel, in step S300, substituting the target gray scale values of each sub-pixel into the temperature rise model, the temperature rise value of the current region A itself from the initial moment to the current moment, that is, the first temperature rise value, can be obtained. In this way, the temperature rise value of the current region A can be predicted without installing a temperature sensor for monitoring, which can reduce costs.
[0039] In an embodiment, the conversion relationship in the above step 200 includes the operation value between the preset gray scale value and the gray scale value of the sub-pixel when the same temperature is raised. At this time, step S200 specifically includes: calculating the operation value between the gray scale value of the sub-pixel in the target equivalent image to obtain the target gray scale value of the sub-pixel.
[0040] Specifically, the operation value between the preset gray scale value and the gray scale value of the sub-pixel when the same temperature is raised is pre-calculated to obtain the conversion relationship. The operation value may be a difference value, a sum value, a proportional value or other values calculated by a mathematical formula, etc. For the sake of understanding, here the operation value is taken as a proportional value and illustrated with an example:
[0041] The change of the temperature rise of the target region with the gray scale value is statistically obtained after the temperature of the target region is stable when all the sub-pixels in the target region are lit with the same gray scale value, so as to obtain the temperature rise value under the white gray scale value. For example, the temperature rise value when all the sub-pixels in the target region are lit with a gray scale value of 50, and the temperature rise value when all the sub-pixels in the target region are lit with a gray scale value of 100.
[0042] At the same time, when all the red sub-pixels in the target area are lit, after the temperature of the target area stabilizes, the temperature rise of the target area with respect to the gray-scale value is statistically analyzed to obtain the temperature rise value at the red gray-scale value; when all the green sub-pixels in the target area are lit, after the temperature of the target area stabilizes, the temperature rise of the target area with respect to the gray-scale value is statistically analyzed to obtain the temperature rise value at the green gray-scale value; when all the blue sub-pixels in the target area are lit, after the temperature of the target area stabilizes, the temperature rise of the target area with respect to the gray-scale value is statistically analyzed to obtain the temperature rise value at the blue gray-scale value.
[0043] Assume that the preset color gray-scale value is the white gray-scale value. Finally, the proportional relationships between the white gray-scale value and the red gray-scale value, between the white gray-scale value and the green gray-scale value, and between the white gray-scale value and the blue gray-scale value are statistically analyzed under the same temperature rise. For example, in one embodiment, as Figure 3 shown, through statistics, under the same temperature rise, the proportional values between the white gray-scale value Gw and the red gray-scale value Gr, the green gray-scale value Gg, and the blue gray-scale value Gb are c1, c2, and c3 respectively, that is, Gw / Gr = c1, Gw / Gg = c2, Gw / Gb = c3. In one application scenario, c1 = 0.82, c2 = 0.61, and c3 = 0.38.
[0044] After obtaining the proportional values between the preset color gray-scale value and the gray-scale values of the sub-pixels under the same temperature rise, in step S200, the product of the gray-scale value of the sub-pixel in the target equivalent image and the proportional value is calculated to obtain the target gray-scale value of the sub-pixel.
[0045] It can be understood that in other embodiments, when the operation value is other than the proportional value, in step S200, the gray-scale value of the sub-pixel in the target equivalent image is calculated correspondingly with the operation value to obtain the target gray-scale value of the sub-pixel. For example, when the operation value is the difference between the preset color gray-scale value and the gray-scale value of the sub-pixel, in step S200, the gray-scale value of the sub-pixel in the target equivalent image is added to the difference to obtain the target gray-scale value of the sub-pixel. For the sake of convenience of explanation, hereinafter, it is assumed that the conversion relationship includes the proportional values between the preset color gray-scale value and the gray-scale values of the sub-pixels under the same temperature rise. Continuing with the above example, when the preset color gray-scale value is the white gray-scale value, the gray-scale value of the red sub-pixel in the target equivalent image is multiplied by c1 to obtain the target gray-scale value of the red sub-pixel, the gray-scale value of the green sub-pixel in the target equivalent image is multiplied by c2 to obtain the target gray-scale value of the green sub-pixel, and the gray-scale value of the blue sub-pixel in the target equivalent image is multiplied by c3 to obtain the target gray-scale value of the blue sub-pixel. In one application scenario, when the preset color gray-scale value is the white gray-scale value, the temperature rise model characterizes the relationship between the temperature rise value of the current area and the white gray-scale value after all sub-pixels in the current area are lit with equal gray-scale, asFigure 4 As shown, in a specific example, the temperature rise model is: T = M × (Gw / 255) N Among them, M and N can be obtained by fitting. For example, M = 16, N = 2.2, Gw is the gray scale value, and T is the temperature rise value of the target area. For example, when all sub-pixels in the target area are lit with a 255 gray scale value, Gw is equal to 255. When all sub-pixels in the target area are lit with a 64 gray scale value, Gw is equal to 64, and so on.
[0046] In another application scenario, the preset color gray scale value is a single-color gray scale value. The temperature rise model represents the relationship between the temperature rise value of the current area and the single-color gray scale value after all single-color sub-pixels in the current area are lit, where the single color is red, green, or blue.
[0047] Specifically, for better understanding, the following takes red as an example of a single color for specific introduction, and other colors are the same by analogy and will not be specifically introduced:
[0048] The temperature rise values of the target area are pre-statistically obtained when all red sub-pixels in the target area are lit with different gray scale values to obtain the temperature rise model. In a specific example, as Figure 5 shown, the temperature rise model fitted at this time is: T = K × (Gr / 255) R , K and R can be obtained by fitting. For example, K = 13.5, R = 2.2, Gr is the gray scale value, and T is the temperature rise value of the target area.
[0049] At the same time, the ratio values between the red gray scale value Gr and the green gray scale value Gg, and between the red gray scale value Gr and the blue gray scale value Gb will also be pre-statistically obtained under the same temperature rise. The specific process includes: statistically obtaining the temperature rise of the target area with the change of the gray scale value when the red sub-pixels in the target area are lit, so as to obtain the temperature rise value under the red gray scale value; statistically obtaining the temperature rise of the target area with the change of the gray scale value when the green sub-pixels in the target area are lit, so as to obtain the temperature rise value under the green gray scale value; statistically obtaining the temperature rise of the target area with the change of the gray scale value when the blue sub-pixels in the target area are lit, so as to obtain the temperature rise value under the blue gray scale value. According to the temperature rise value under the red gray scale value and the temperature rise value under the green gray scale value, the ratio value between the red gray scale value Gr and the green gray scale value Gg is obtained. According to the temperature rise value under the red gray scale value and the temperature rise value under the blue gray scale value, the ratio value between the red gray scale value Gr and the blue gray scale value Gb is obtained. In a specific example, through statistics, Gr / Gg = d1 = 0.68, Gr / Gb = d2 = 0.43.
[0050] At this time, multiply the gray scale value of the green sub-pixel in the target equivalent image by d1 to obtain the target gray scale value of the green sub-pixel, and multiply the gray scale value of the blue sub-pixel in the target equivalent image by d2 to obtain the target gray scale value of the blue sub-pixel.
[0051] Refer to Figure 6 , in the above step S300, the step of determining the first temperature increase value of the current area A according to the pre-established temperature rise model and the target gray scale value of each sub-pixel includes:
[0052] Step S310: For each color sub-pixel in the target equivalent image, substitute the target gray scale value of the sub-pixel into the temperature rise model to obtain the temperature increase value corresponding to the sub-pixel.
[0053] Specifically, substitute the target gray scale value of each sub-pixel in the target equivalent image into the above temperature rise model to obtain the temperature increase value corresponding to each sub-pixel. For example, when the preset color gray scale value is the white gray scale value, substitute the target gray scale corresponding to the red sub-pixel into the temperature rise model to obtain the temperature increase value of the red sub-pixel, substitute the target gray scale corresponding to the green sub-pixel into the temperature rise model to obtain the temperature increase value of the green sub-pixel, and substitute the target gray scale corresponding to the blue sub-pixel into the temperature rise model to obtain the temperature increase value of the blue sub-pixel.
[0054] Step S320: Determine the first temperature increase value of the current area A according to the temperature increase values corresponding to all color sub-pixels in the target equivalent image.
[0055] Specifically, the temperature increase values corresponding to all color sub-pixels in the target equivalent image can be summed to obtain the first temperature increase value of the current area A, or the temperature increase values corresponding to all color sub-pixels in the target equivalent image can be weighted and summed to obtain the first temperature increase value of the current area A.
[0056] To better understand the above solution, two specific examples are given for illustration:
[0057] In the first example, the preset color gray scale value is the white gray scale value, Gw / Gr = c1 = 0.82, Gw / Gg = c2 = 0.61, Gw / Gb = c3 = 0.38, and the temperature rise model is: T = 16×(Gw / 255) 2.2 , and the process at this time includes:
[0058] In step S100, assume that the target equivalent image includes a red sub-pixel with a gray scale value of 64, a green sub-pixel with a gray scale value of 224, and a blue sub-pixel with a gray scale value of 180;
[0059] In step S200, the target gray scale value corresponding to the red sub-pixel = c1×Gr = 0.82×64 = 52.48, the target gray scale value corresponding to the green sub-pixel = c2×Gg = 0.61×224 = 136.64, and the target gray scale value corresponding to the blue sub-pixel = c3×Gb = 0.38×180 = 68.4.
[0060] In step 300, substituting 52.48 into the temperature rise model 16×(Gw / 255) 2.2 , the temperature rise value T1 corresponding to the red sub-pixel is obtained. At this time, T1 is equal to 0.49 °C. Substituting 136.64 into the temperature rise model 16×(Gw / 255) 2.2 , the temperature rise value T2 corresponding to the green sub-pixel is obtained. At this time, T2 is equal to 4.05 °C. Substituting 68.4 into the temperature rise model 16×(Gw / 255) 2.2 , the temperature rise value T3 corresponding to the blue sub-pixel is obtained. At this time, T3 is equal to 0.88 °C. Finally, the sum of T1, T2, and T3 is calculated to obtain the first temperature rise value of the current area. At this time, the first temperature rise value is obtained as equal to 5.42 °C.
[0061] In the second example, the preset color gray scale value is the red gray scale value, Gr / Gg = d1 = 0.68, Gr / Gb = d2 = 0.43, and the temperature rise model is: T = 13.5×(Gr / 255) 2.2 , and the process at this time includes:
[0062] In step S100, it is assumed that the target equivalent image includes a gray scale value of 64 for the red sub-pixel, a gray scale value of 224 for the green sub-pixel, and a gray scale value of 180 for the blue sub-pixel;
[0063] In step S200, the target gray scale value corresponding to the red sub-pixel is 64, the target gray scale value corresponding to the green sub-pixel = d1×Gg = 0.68×224 = 152.32, and the target gray scale value corresponding to the blue sub-pixel = d2×Gb = 0.43×180 = 77.4.
[0064] In step 300, substituting 64 into the temperature rise model 13.5×(Gr / 255) 2.2 , the temperature rise value T4 corresponding to the red sub-pixel is obtained. At this time, T4 is equal to 0.64 °C. Substituting 152.32 into the temperature rise model 13.5×(Gr / 255) 2.2 , the temperature rise value T5 corresponding to the green sub-pixel is obtained. At this time, T5 is equal to 4.35 °C. Substituting 77.4 into the temperature rise model 13.5×(Gr / 255) 2.2, the temperature rise value T6 corresponding to the blue sub-pixel is obtained. At this time, T6 is equal to 0.98 °C. Finally, the sum of T4, T5, and T6 is calculated to obtain the first temperature rise value of the current area. At this time, the obtained first temperature rise value is equal to 5.97 °C.
[0065] As can be seen from the above two embodiments, although the steps of the two embodiments are not exactly the same, the calculated first temperature rise values only differ by 0.55 °C, which is less than 1 °C and within the allowable error range. And through actual measurement, the actual first temperature rise value of the display panel is about 5.46 °C, which differs from the calculation result of the first embodiment above by 0.04 °C and from the calculation result of the second embodiment above by 0.51 °C, both within the allowable error range. Therefore, through the solution of the present application above, the temperature rise value of the display panel can be accurately predicted.
[0066] In one embodiment, refer to Figure 7 , the step of obtaining the target equivalent image of the current area A from the initial time to the current time in the above step S100 includes:
[0067] Step S110: For each pixel unit in the current area A, obtain the first equivalent image of the pixel unit from the initial time to the current time. The first equivalent image includes the first gray scale value of each color sub-pixel in the pixel unit.
[0068] Specifically, for each pixel unit in the current area A, a first equivalent image is generated. For each pixel unit, the corresponding first equivalent image represents its display situation from the initial time to the current time. In one embodiment, the first equivalent image includes the first gray scale value of the red sub-pixel, the first gray scale value of the green sub-pixel, and the first gray scale value of the blue sub-pixel.
[0069] Step S120: Determine the target equivalent image of the current area A according to the first equivalent image of each pixel unit.
[0070] Specifically, the first equivalent image corresponding to each pixel unit represents its display situation from the initial time to the current time. Then, according to the first equivalent images corresponding to all pixel units, a target equivalent image representing the screen display situation of the current area A from the initial time to the current time can be generated.
[0071] Refer to Figure 8 , in one embodiment, the above step S120 specifically includes:
[0072] Step S121: Determine the average gray scale value of each color sub-pixel according to the first equivalent image of each pixel unit.
[0073] Specifically, each pixel unit includes a corresponding first equivalent image, and the first equivalent image includes the first gray scale values of sub-pixels of multiple colors. For example, the first equivalent image of each pixel unit includes the first gray scale value of the red sub-pixel, the first gray scale value of the green sub-pixel, and the first gray scale value of the blue sub-pixel.
[0074] At this time, in step S121, according to the first gray scale values of the red sub-pixels in all the first equivalent images, the average gray scale value of the red sub-pixels is determined. According to the first gray scale values of the green sub-pixels in all the first equivalent images, the average gray scale value of the green sub-pixels is determined. According to the first gray scale values of the blue sub-pixels in all the first equivalent images, the average gray scale value of the blue sub-pixels is determined.
[0075] That is to say, in step S121, according to the first equivalent image corresponding to each pixel unit, the average gray scale values of the sub-pixels of multiple colors constituting a pixel unit are determined. For the sake of easy understanding, an example is given here for illustration:
[0076] Suppose there are 10 pixel units, and the first equivalent images of the 10 pixel units are (R1, G1, B1), (R2, G2, B2),..., (R10, G10, B10) respectively. Then, in step S121, the average gray scale value of the red sub-pixels is equal to (R1 + R2 +... + R10) / 10, the average gray scale value of the green sub-pixels is equal to (G1 + G2 +... + G10) / 10, and the average gray scale value of the blue sub-pixels is equal to (B1 + B2 +... + B10) / 10.
[0077] Step S122: Respectively determine the average gray scale value of the sub-pixels of each color as the gray scale value of the sub-pixels of each color in the target equivalent image.
[0078] Specifically, the average gray scale value of the red sub-pixels is used as the gray scale value of the red sub-pixels in the target equivalent image, the average gray scale value of the green sub-pixels is used as the gray scale value of the green sub-pixels in the target equivalent image, and the average gray scale value of the blue sub-pixels is used as the gray scale value of the blue sub-pixels in the target equivalent image, so as to finally obtain the target equivalent image.
[0079] In other embodiments, step S120 may also be: According to the first equivalent image of each pixel unit, determine the maximum gray scale value, minimum gray scale value, median gray scale value, or mode gray scale value of the sub-pixels of each color in the pixel unit, and then respectively use the maximum gray scale value, minimum gray scale value, median gray scale value, or mode gray scale value of the sub-pixels of each color in the pixel unit as the gray scale value of each sub-pixel in the target equivalent image.
[0080] Refer to Figure 9 and Figure 10, the step of obtaining the first equivalent image of the pixel unit from the initial time to the current time in the above step S110 includes:
[0081] Step S111: Divide the time period from the initial time t0 to the current time t n into a plurality of first time periods.
[0082] Specifically, in one embodiment, the lengths of the plurality of first time periods are equal, which makes the segmentation more uniform; in some other embodiments, the lengths of the plurality of first time periods may also be unequal. For example, the closer the first time period is to the current time, the shorter it is, and the farther the first time period is from the current time, the longer it is.
[0083] Among them, the duration of the first time period can be 30s, 50s, or 60s, etc., which is not limited here.
[0084] Step S112: For each first time period, obtain the second equivalent image of the pixel unit within the first time period. The second equivalent image includes the second gray scale values of the sub-pixels of each color in the pixel unit.
[0085] Specifically, obtain the second equivalent image of the pixel unit within each first time period. The second equivalent image of the pixel unit within a certain first time period represents the display situation of the pixel unit within that first time period. Among them, the second equivalent image includes the second gray scale value of the red sub-pixel, the second gray scale value of the green sub-pixel, and the second gray scale value of the blue sub-pixel in the pixel unit.
[0086] In an application scenario, step S112 specifically includes: respectively determining the average gray scale value of the sub-pixels of each color in the pixel unit within the first time period as the second gray scale value of the sub-pixels of each color in the second equivalent image.
[0087] Specifically, within the first time period, determine the average gray scale value of the red sub-pixel as the second gray scale value of the red sub-pixel in the second equivalent image, determine the average gray scale value of the green sub-pixel as the second gray scale value of the green sub-pixel in the second equivalent image, and determine the average gray scale value of the blue sub-pixel as the second gray scale value of the blue sub-pixel in the second equivalent image, so as to obtain the second equivalent image of the pixel unit within the first time period.
[0088] In other application scenarios, step S112 may also be: respectively determining the maximum gray scale value, the minimum gray scale value, the median gray scale value, or the mode gray scale value of the sub-pixels of each color in the pixel unit within the first time period as the second gray scale value of the sub-pixels of each color in the second equivalent image.
[0089] Step S113: Determine the first equivalent image of the pixel unit according to the second equivalent image of the pixel unit within each first time period.
[0090] Specifically, due to the second equivalent image representation of the pixel unit within a certain first time period, the display condition of the pixel unit within this first time period, thus based on the second equivalent images of the pixel unit within all the first time periods, a first equivalent image representing the display condition of the pixel unit from the initial moment to the current moment can be obtained.
[0091] In one embodiment, the above step S113 specifically includes: for each color sub-pixel in the pixel unit, performing a weighted summation process on the second gray scale values of the sub-pixel in each second equivalent image to obtain the first gray scale value of the sub-pixel in the first equivalent image.
[0092] Specifically, perform a weighted summation process on the second gray scale values of the red sub-pixels in each second equivalent image to obtain the first gray scale value of the red sub-pixels in the first equivalent image, perform a weighted summation process on the second gray scale values of the green sub-pixels in each second equivalent image to obtain the first gray scale value of the green sub-pixels in the first equivalent image, and perform a weighted summation process on the second gray scale values of the blue sub-pixels in each second equivalent image to obtain the first gray scale value of the blue sub-pixels in the first equivalent image. Among them, the weight coefficients can be adjusted according to the actual situation.
[0093] In one embodiment, the closer the distance between the first time period corresponding to the second equivalent image and the current moment, the greater the weight corresponding to the second gray scale value in the second equivalent image.
[0094] Specifically, the temperature at the current moment is greatly affected by the nearby moments. Therefore, the closer the distance between the first time period and the current moment, the greater the influence of the second equivalent image corresponding to the first time period on the temperature at the current moment, and the farther the distance between the first time period and the current moment, the smaller the influence of the second equivalent image corresponding to the first time period on the temperature at the current moment. Therefore, it is set that the closer the distance between the first time period corresponding to the second equivalent image and the current moment, the greater the weight corresponding to the second gray scale value in the second equivalent image.
[0095] To better understand the above solution, an example is hereby given for illustration:
[0096] Suppose that the division results in 4 first time periods, namely the first time period t1, the first time period t2, the first time period t3, and the first time period t4. Among them, the second equivalent image corresponding to the first time period t1 is (r1, g1, b1), the second equivalent image corresponding to the second time period t2 is (r2, g2, b2), the second equivalent image corresponding to the first time period t3 is (r3, g3, b3), and the second equivalent image corresponding to the first time period t4 is (r4, g4, b4). Among them, the weight corresponding to the second equivalent image (r1, g1, b1) is λ1, the weight corresponding to the second equivalent image (r2, g2, b2) is λ2, the weight corresponding to the second equivalent image (r3, g3, b3) is λ3, and the weight corresponding to the second equivalent image (r4, g4, b4) is λ4. Then, the first gray level value of the red sub-pixel in the first equivalent image = λ1×r1 + λ2×r2 + λ3×r3 + λ4×r4, the first gray level value of the green sub-pixel in the first equivalent image = λ1×g1 + λ2×g2 + λ3×g3 + λ4×g4, and the first gray level value of the blue sub-pixel in the first equivalent image = λ1×b1 + λ2×b2 + λ3×b3 + λ4×b4.
[0097] Among them, if the distances between the first time period t1, the first time period t2, the first time period t3, and the first time period t4 and the current moment are getting smaller and smaller, then λ1 < λ2 < λ3 < λ4.
[0098] Furthermore, the weight corresponding to the second gray level value in the second equivalent image is determined according to the following formula: L = -0.01×ln(A) + 0.09, where L is the weight corresponding to the second gray level value in the second equivalent image, and A is the target value corresponding to the second equivalent image. Among them, the closer the first time period corresponding to the second equivalent image is to the current moment, the smaller the target value corresponding to the second equivalent image.
[0099] Specifically, the closer the first time period corresponding to the second equivalent image is to the current moment, the smaller the target value A corresponding to the second equivalent image, and the greater the weight L corresponding to the second gray level value in the second equivalent image in the formula.
[0100] In an application scenario, the target value A corresponding to the second equivalent image can be taken as follows: In the direction from the current moment to the initial moment, the first time periods are numbered sequentially from 1. Then, the target value A corresponding to the second equivalent image is equal to the number of the first time period corresponding to the second equivalent image. That is to say, the number of the first time period adjacent to the current moment is 1, and the target value A corresponding to the corresponding second equivalent image is equal to 1. The number of the first time period adjacent to the first time period numbered 1 is 2, and the target value A corresponding to the corresponding second equivalent image is equal to 2, and so on.
[0101] Of course, in some other embodiments, the weight of the second gray-scale value in the second equivalent image for determining the first time period may also be other formulas, and the present application does not limit this.
[0102] Refer to Figure 2 and Figure 11 With Figure 1 different from the embodiment, in another embodiment, after step S300, it further includes:
[0103] Step S400: Determine the second temperature rise value of the current area A, where the second temperature rise value is related to the temperature transferred from at least one second area B around the current area A to the current area A.
[0104] Specifically, the second area B is located around the current area A, and the number of the second areas B can be 1, 2, 4, etc., which is not limited herein. The second temperature rise value is related to the temperature transferred from the second area B to the current area A, that is to say, the second temperature rise value depends on the heat generated by the second area B close to the current area A.
[0105] Step S500: Determine the target temperature rise value of the current area A at the current moment according to the first temperature rise value and the second temperature rise value.
[0106] Specifically, the target temperature rise value of the current area A at the current moment is determined by two parts. One part is the heat generated by the current area A itself, and the other part is the heat transferred from the second area B to the current area A. Therefore, the target temperature rise value of the current area A at the current moment is jointly determined by the first temperature rise value and the second temperature rise value, so that the final temperature rise value of the current area A at the current moment, that is, the target temperature rise value, can be accurately predicted.
[0107] It should be noted that in other embodiments, the first temperature rise value may also be directly determined as the final temperature rise value of the current area A. That is to say, at this time, only the heat generated by the current area A itself is considered, and the influence of the temperature rise of other surrounding areas on the current area A is not considered.
[0108] In one embodiment, the above step S500 specifically includes: performing a summation process on the first temperature rise value and the second temperature rise value to obtain the target temperature rise value of the current area A at the current moment. In other embodiments, the above step S500 may also specifically include: performing a weighted summation process on the first temperature rise value and the second temperature rise value to obtain the target temperature rise value of the current area A at the current moment, where the weights of the first temperature rise value and the second temperature rise value can be set according to specific circumstances. For example, the weight of the first temperature rise value is set to be greater than the weight of the second temperature rise value.
[0109] Further, referring to Figure 12 , the steps of determining the second temperature increase value of the current area in the above step S400 include:
[0110] Step S410: For at least one second area B around the current area A, obtain the target temperature increase value of the second area B at the previous moment.
[0111] Specifically, at the previous moment (the previous sampling moment) of the current moment (the current sampling moment), the second area B is taken as the current area A, and steps S100 - S500 are executed for it to obtain the target temperature increase value of the second area B at the previous sampling moment. Similarly, at the previous moment of the current moment, steps S100 - S500 are executed for the current area A, and the target temperature increase value of the current area A at the previous moment can also be obtained.
[0112] Among them, the time interval between two adjacent sampling moments can be set according to specific circumstances and is not limited here. For example, it can be an interval of 5s, 20s, or 60s, etc.
[0113] Step S420: Determine the second temperature increase value according to the target temperature increase value of each second area B at the previous moment and the target temperature increase value of the current area A at the previous moment.
[0114] Specifically, at the current moment, the target temperature increase value of each second area B at the current moment may not be known yet, but the target temperature increase values of each second area B and the current area A at the previous moment are known. Therefore, in order to improve the operation speed and efficiency of the algorithm, the second temperature increase value is directly determined according to the target temperature increase value of each second area B at the previous moment and the target temperature increase value of the current area A at the previous moment.
[0115] Further, referring to Figure 13 , the above step S420 includes:
[0116] Step S421: For each second area B, determine the difference between the target temperature increase value of the second area B at the previous moment and the target temperature increase value of the current area A at the previous moment.
[0117] Specifically, the difference between the target temperature increase values of the current area A and the second area B at the previous moment reflects the temperature difference between the two areas, and this temperature difference determines the heat transferred from the second area B to the current area A.
[0118] Step S422: Determine the second temperature increase value according to the difference corresponding to each second area B.
[0119] Specifically, according to the differences corresponding to all the second regions B, the heat transfer between all the second regions B and the current region A can be determined, so as to determine the second temperature increase value.
[0120] In one embodiment, the above step S422 specifically includes: performing a weighted summation process on the differences corresponding to each second region B to obtain the second temperature increase value.
[0121] Exemplarily, there are i second regions B around the current region A. The i second regions B are numbered sequentially from 1. At the same time, the target temperature increase values of the i second regions B at the previous moment are respectively defined as T n-1·P1 、T n-1·P2 、...、T n-1·Pi , and the target temperature increase value of the current region A at the previous moment is defined as T n-1·P0 where n - 1 represents the previous moment. Then, the second temperature increase value T n·P0 is obtained by summing according to the following formula:
[0122] T n·P0 = k1×(T n-1·P1 - T n-1·P0 ) + k2×(T n-1·P2 - T n-1·P0 ) + … + k i ×(T n-1·Pi - T n-1·P0 );
[0123] where k1, k2, …, k i are the weights corresponding to each second region B respectively.
[0124] In one embodiment, the closer the second region B is to the current region A, the greater the weight corresponding to the second region B. Specifically, the closer the second region B is to the current region A, the more heat is transferred, the greater the temperature influence, and thus the greater the weight corresponding to the second region B.
[0125] In one embodiment, the weight corresponding to the second region B is determined according to the following formula:
[0126] where k is the weight corresponding to the second region B, d is the distance value between the second region B and the current region A, and w is a preset heat conduction coefficient.
[0127] Specifically, this formula is a Gaussian function for the horizontal propagation of temperature along the display panel, which is applicable to the conduction of spatial temperature. According to the formula, the smaller the distance value d between the second region B and the current region A, the larger the weight k corresponding to the second region B. The preset heat conduction coefficient w is a fixed parameter related to the main material in the display panel. For example, the heat conduction coefficient w is related to whether the substrate in the display panel is a glass substrate or an aluminum substrate.
[0128] Among them, d can specifically be the distance value between the center points of the second region B and the current region A.
[0129] Please refer to Figure 14 , this application provides a temperature rise prediction device 100, which includes an acquisition module 110, a conversion module 120, and a first determination module 130.
[0130] The acquisition module 110 is used to acquire the target equivalent image of the current region from the initial moment to the current moment. The target equivalent image includes the gray scale values of sub-pixels of multiple colors that make up a pixel unit.
[0131] The conversion module 120 is connected to the acquisition module 110. The conversion module 120 is used to convert the gray scale value of the sub-pixel in the target equivalent image according to the conversion relationship between the gray scale value of the sub-pixel and the preset color gray scale value for each color sub-pixel in the target equivalent image, so as to obtain the target gray scale value of the sub-pixel. Among them, the conversion relationship is the conversion relationship between the gray scale value of the sub-pixel and the preset color gray scale value when the temperature rises by the same amount.
[0132] The first determination module 130 is connected to the conversion module 120. The first determination module 130 is used to determine the first temperature rise value of the current region according to the pre-established temperature rise model and the target gray scale value of each color sub-pixel. Among them, the temperature rise model represents the relationship between the temperature rise value of the current region and the preset color gray scale value after lighting the sub-pixels corresponding to the preset color gray scale value in the current region.
[0133] Among them, the acquisition module 110, the conversion module 120, and the first determination module 130 cooperate with each other to implement the method steps in any of the above embodiments. For the detailed steps, please refer to the relevant content above and will not be elaborated here.
[0134] Among them, the prediction device 100 can be any device with algorithm capabilities such as a driving chip, a mobile phone, a tablet computer, a smart watch, a desktop computer, or a notebook computer, and is not limited here.
[0135] In one embodiment, the conversion relationship includes the operation value between the preset color gray-scale value and the gray-scale value of the sub-pixel at the same elevated temperature; the conversion module 120 is specifically configured to: calculate the gray-scale value of the sub-pixel in the target equivalent image and the operation value to obtain the target gray-scale value of the sub-pixel.
[0136] In one application scenario, the operation value includes a proportional value, and the conversion module 120 is specifically configured to: multiply the gray-scale value of the sub-pixel in the target equivalent image by the proportional value to obtain the target gray-scale value of the sub-pixel.
[0137] In one application scenario, the preset color gray-scale value is the white gray-scale value, and the temperature rise model characterizes the relationship between the temperature rise value of the current area and the white gray-scale value when all sub-pixels in the current area are lit at the same gray-scale.
[0138] In another application scenario, the preset color gray-scale value is a monochromatic gray-scale value, and the temperature rise model characterizes the relationship between the temperature rise value of the current area and the monochromatic gray-scale value when all monochromatic sub-pixels in the current area are lit, where the monochromatic color is red, green, or blue.
[0139] In one embodiment, the first determination module 130 includes a substitution unit and a first determination unit.
[0140] The substitution unit is configured to substitute the target gray-scale value of the sub-pixel into the temperature rise model for each color of the sub-pixels in the target equivalent image to obtain the corresponding temperature rise value of the sub-pixel; the first determination unit is connected to the substitution unit and is configured to determine the first temperature rise value of the current area according to the temperature rise values corresponding to all colors of the sub-pixels in the target equivalent image;
[0141] In one embodiment, the first determination unit is specifically configured to: perform a summation process on the temperature rise values corresponding to all colors of the sub-pixels in the target equivalent image to obtain the first temperature rise value of the current area.
[0142] In one embodiment, the acquisition module 110 specifically includes an acquisition unit and a second determination unit.
[0143] The acquisition unit is configured to acquire, for each pixel unit in the current area, the first equivalent image of the pixel unit from the initial moment to the current moment, where the first equivalent image includes the first gray-scale value of each sub-pixel in the pixel unit;
[0144] The second determination unit is connected to the acquisition unit and is configured to determine the target equivalent image of the current area according to the first equivalent image of each pixel unit;
[0145] In one embodiment, the second determination unit is specifically configured to: determine the average gray level value of the sub-pixels of each color according to the first equivalent image of each pixel unit; and respectively determine the average gray level value of the sub-pixels of each color as the gray level value of the sub-pixels of each color in the target equivalent image.
[0146] In one embodiment, the acquisition unit is specifically configured to: divide the time period from the initial moment to the current moment into a plurality of first time periods; for each first time period, acquire a second equivalent image of the pixel unit within the first time period, where the second equivalent image includes the second gray level values of the sub-pixels of each color in the pixel unit; and determine the first equivalent image of the pixel unit according to the second equivalent image of the pixel unit within each first time period.
[0147] In one embodiment, the acquisition unit is further specifically configured to: respectively determine the average gray level value of the sub-pixels of each color in the pixel unit within the first time period as the second gray level value of the sub-pixels of each color in the second equivalent image.
[0148] In one embodiment, the acquisition unit is further specifically configured to: for each color sub-pixel in the pixel unit, perform a weighted summation process on the second gray level values of the sub-pixel in each second equivalent image to obtain the first gray level value of the sub-pixel in the first equivalent image.
[0149] In one embodiment, the closer the distance between the first time period corresponding to the second equivalent image and the current moment, the greater the weight corresponding to the second gray level value in the second equivalent image.
[0150] In one embodiment, the weight corresponding to the second gray level value in the second equivalent image is determined according to the following formula:
[0151] L = -0.01×ln(A) + 0.09, where L is the weight corresponding to the second gray level value in the second equivalent image, A is the target value corresponding to the second equivalent image, and the closer the distance between the first time period corresponding to the second equivalent image and the current moment, the smaller the target value corresponding to the second equivalent image.
[0152] In one embodiment, the display panel 100 further includes a second determination module, and the second determination module is connected to the first determination module 130. The second determination module is configured to: determine a second temperature increase value of the current area, where the second temperature increase value is related to the temperature transmitted from at least one second area around the current area to the current area; and determine a target temperature increase value of the current area at the current moment according to the first temperature increase value and the second temperature increase value.
[0153] In one embodiment, the second determination module is specifically configured to: perform a summation process on the first temperature increase value and the second temperature increase value to obtain the target temperature increase value of the current area at the current moment.
[0154] In one embodiment, the second determination module is specifically configured to: for at least one second region around the current region, obtain the target temperature increase value of the second region at the previous moment; and determine the second temperature increase value according to the target temperature increase value of each second region at the previous moment and the target temperature increase value of the current region at the previous moment.
[0155] In one embodiment, the second determination module is specifically configured to: for each second region, determine the difference between the target temperature increase value of the second region at the previous moment and the target temperature increase value of the current region at the previous moment; and determine the second temperature increase value according to the difference corresponding to each second region.
[0156] In one embodiment, the second determination module is specifically configured to: perform a weighted summation process on the differences corresponding to each second region to obtain the second temperature increase value.
[0157] In one embodiment, the closer the distance between the second region and the current region, the greater the weight corresponding to the second region.
[0158] In one embodiment, the weight corresponding to the second region is determined according to the following formula:
[0159] where k is the weight corresponding to the second region, d is the distance value between the second region and the current region, and w is a preset heat conduction coefficient.
[0160] Refer to Figure 15 , Figure 15 which is a schematic structural diagram of an embodiment of the temperature rise prediction device of the present application. The prediction device 200 includes a processor 210 and a memory 220. The processor 210 is coupled to the memory 220. Program data is stored in the memory 220. The processor 210 realizes the method steps in any one of the above embodiments by executing the program data in the memory 220. For the detailed steps, reference can be made to the above embodiments and will not be elaborated here.
[0161] Among them, the prediction device 200 can be any device with algorithm capabilities such as a driving chip, a mobile phone, a tablet computer, a smart watch, a desktop computer or a notebook computer, etc., which is not limited here.
[0162] Refer to Figure 16 , Figure 16 which is a schematic structural diagram of an embodiment of the computer-readable storage medium of the present application. The computer-readable storage medium 400 stores a computer program 410. The computer program 410 can be executed by a processor to realize the steps in any one of the above methods. For the detailed method steps, reference can be made to the above related content and will not be elaborated here.
[0163] Among them, the computer-readable storage medium 400 may specifically be a device such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc that can store the computer program 410, or it may also be a server storing the computer program 410. The server can send the stored computer program 410 to other devices for running, or it can also run the stored computer program 410 by itself.
[0164] The above are only embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.
Claims
1. A method for predicting temperature rise, characterized in that, The method includes: Obtaining a target equivalent image of the current area from an initial moment to the current moment, where the target equivalent image includes the gray-scale values of sub-pixels of multiple colors that constitute a pixel unit; For each sub-pixel of each color in the target equivalent image, according to the conversion relationship between the gray-scale value of the sub-pixel and a preset color gray-scale value, converting the gray-scale value of the sub-pixel in the target equivalent image to obtain the target gray-scale value of the sub-pixel, where the conversion relationship is the conversion relationship between the gray-scale value of the sub-pixel and the preset color gray-scale value when the same temperature is increased; Determining a first temperature increase value of the current area according to a pre-established temperature rise model and the target gray-scale value of each sub-pixel of each color, where the temperature rise model characterizes the relationship between the temperature increase value of the current area and the preset color gray-scale value after lighting the sub-pixels corresponding to the preset color gray-scale value in the current area.
2. The method according to claim 1, characterized in that, The conversion relationship includes the operation value between the preset color gray-scale value and the gray-scale value of the sub-pixel when the same temperature is increased; The step of converting the gray-scale value of the sub-pixel in the target equivalent image according to the conversion relationship between the gray-scale value of the sub-pixel and the preset color gray-scale value to obtain the target gray-scale value of the sub-pixel includes: Calculating the gray-scale value of the sub-pixel in the target equivalent image and the operation value to obtain the target gray-scale value of the sub-pixel; Preferably, the operation value includes a proportional value, and the step of calculating the gray-scale value of the sub-pixel in the target equivalent image and the operation value to obtain the target gray-scale value of the sub-pixel includes: Multiplying the gray-scale value of the sub-pixel in the target equivalent image by the proportional value to obtain the target gray-scale value of the sub-pixel; Preferably, the preset color gray-scale value is a white gray-scale value, and the temperature rise model characterizes the relationship between the temperature increase value of the current area and the white gray-scale value after lighting all sub-pixels in the current area with equal gray-scale; Alternatively, the preset color gray-scale value is a single-color gray-scale value, and the temperature rise model characterizes the relationship between the temperature increase value of the current area and the single-color gray-scale value after lighting all single-color sub-pixels in the current area, where the single color is red, green, or blue.
3. The method according to claim 1, characterized in that, The step of determining the first temperature increase value of the current area according to a pre-established temperature rise model and the target gray-scale value of each sub-pixel of each color includes: For each sub-pixel of each color in the target equivalent image, substituting the target gray-scale value of the sub-pixel into the temperature rise model to obtain the temperature increase value corresponding to the sub-pixel; Determining the first temperature increase value of the current area according to the temperature increase values corresponding to all sub-pixels of all colors in the target equivalent image; Preferably, the step of determining the first temperature increase value of the current area according to the temperature increase values corresponding to all sub-pixels of all colors in the target equivalent image includes: Sum up the temperature increase values corresponding to the sub-pixels of all colors in the target equivalent image to obtain the first temperature increase value of the current region.
4. The method according to claim 1, characterized in that, The step of obtaining the target equivalent image of the current region from the initial time to the current time includes: For each pixel unit in the current region, obtain a first equivalent image of the pixel unit from the initial time to the current time, where the first equivalent image includes the first gray scale values of the sub-pixels of each color in the pixel unit. Determine the target equivalent image of the current region according to the first equivalent image of each pixel unit. Preferably, the step of determining the target equivalent image of the current region according to the first equivalent image of each pixel unit includes: Determine the average gray scale value of the sub-pixels of each color according to the first equivalent image of each pixel unit. Respectively determine the gray scale values of the sub-pixels of each color in the target equivalent image as the average gray scale values of the sub-pixels of each color.
5. The method according to claim 4, characterized in that, The step of obtaining the first equivalent image of the pixel unit from the initial time to the current time includes: Divide the time period from the initial time to the current time into multiple first time periods. For each first time period, obtain a second equivalent image of the pixel unit within the first time period, where the second equivalent image includes the second gray scale values of the sub-pixels of each color in the pixel unit. Determine the first equivalent image of the pixel unit according to the second equivalent image of the pixel unit within each first time period. Preferably, the step of obtaining the second equivalent image of the pixel unit within the first time period includes: Respectively determine the second gray scale values of the sub-pixels of each color in the second equivalent image as the average gray scale values of the sub-pixels of each color in the pixel unit within the first time period. Preferably, the step of determining the first equivalent image of the pixel unit according to the second equivalent image of the pixel unit within each first time period includes: For each sub-pixel of each color in the pixel unit, perform a weighted sum processing on the second gray scale values of the sub-pixel in each second equivalent image to obtain the first gray scale value of the sub-pixel in the first equivalent image. Preferably, the closer the first time period corresponding to the second equivalent image is to the current time, the greater the weight corresponding to the second gray scale value in the second equivalent image. Preferably, determine the weight corresponding to the second gray scale value in the second equivalent image according to the following formula: L = -0.01×ln(A) + 0.09, where L is the weight corresponding to the second gray scale value in the second equivalent image, A is the target value corresponding to the second equivalent image, and the closer the first time period corresponding to the second equivalent image is to the current time, the smaller the target value corresponding to the second equivalent image.
6. The method according to claim 1, characterized in that, After determining the first temperature increase value of the current area according to the pre-established temperature rise model and the target gray scale value of the sub-pixels of each color, the following steps are further included: Determine the second temperature increase value of the current area, where the second temperature increase value is related to the temperature transferred from at least one second area around the current area to the current area; Determine the target temperature increase value of the current area at the current moment according to the first temperature increase value and the second temperature increase value; Preferably, the step of determining the target temperature increase value of the current area at the current moment according to the first temperature increase value and the second temperature increase value includes: Perform a summation process on the first temperature increase value and the second temperature increase value to obtain the target temperature increase value of the current area at the current moment.
7. The method according to claim 6, characterized in that, The step of determining the second temperature increase value of the current area includes: For at least one of the second areas around the current area, obtain the target temperature increase value of the second area at the previous moment; Determine the second temperature increase value according to the target temperature increase value of each second area at the previous moment and the target temperature increase value of the current area at the previous moment; Preferably, the step of determining the second temperature increase value according to the target temperature increase value of each second area at the previous moment and the target temperature increase value of the current area at the previous moment includes: For each second area, determine the difference between the target temperature increase value of the second area at the previous moment and the target temperature increase value of the current area at the previous moment; Determine the second temperature increase value according to the difference corresponding to each second area; Preferably, the step of determining the second temperature increase value according to the difference corresponding to each second area includes: Perform a weighted summation process on the differences corresponding to each second area to obtain the second temperature increase value; Preferably, the closer the distance between the second area and the current area, the greater the weight corresponding to the second area; Preferably, the weight corresponding to the second area is determined according to the following formula: Among them, k is the weight corresponding to the second region, d is the distance value between the second region and the current region, and w is a preset heat conduction coefficient.
8. A prediction device for temperature rise, characterized in that, The prediction device includes: An acquisition module for acquiring a target equivalent image of the current area from the initial moment to the current moment, where the target equivalent image includes the gray scale values of the sub-pixels of multiple colors constituting a pixel unit; A conversion module, connected to the acquisition module, for converting the gray scale value of the sub-pixel in the target equivalent image according to the conversion relationship between the gray scale value of the sub-pixel and the preset color gray scale value for each color of the sub-pixel in the target equivalent image to obtain the target gray scale value of the sub-pixel, where the conversion relationship is the conversion relationship between the gray scale value of the sub-pixel and the preset color gray scale value under the same temperature increase; The first determination module, connected to the conversion module, is configured to determine a first temperature increase value of the current area according to a pre-established temperature rise model and the target gray level value of the sub-pixels of each color, wherein the temperature rise model represents the relationship between the temperature increase value of the current area and the preset color gray level value after lighting the sub-pixels corresponding to the preset color gray level value in the current area.
9. The prediction device according to claim 8, characterized in that, The prediction device further includes: A second determination module, connected to the first determination module, is configured to determine a second temperature increase value of the current area, and determine a target temperature increase value of the current area at the current moment according to the first temperature increase value and the second temperature increase value, wherein the second temperature increase value is related to the temperature transferred from at least one second area around the current area to the current area; Preferably, the second determination module is specifically configured to: perform a summation process on the first temperature increase value and the second temperature increase value to obtain the target temperature increase value of the current area at the current moment; Preferably, the conversion relationship includes an operation value between the preset color gray level value and the gray level value of the sub-pixel when the same temperature is increased, and the conversion module is specifically configured to: calculate the gray level value of the sub-pixel in the target equivalent image and the operation value to obtain the target gray level value of the sub-pixel; Preferably, the operation value includes a proportional value, and the conversion module is specifically configured to: multiply the gray level value of the sub-pixel in the target equivalent image by the proportional value to obtain the target gray level value of the sub-pixel.
10. A prediction device for temperature rise, characterized in that, The device includes a processor and a memory. The processor is coupled to the memory, and program data is stored in the memory. The processor implements the steps in the method according to any one of claims 1-7 by executing the program data in the memory.