Pixel compensation method and system of organic light-emitting panel based on Al

Abstract

The invention relates to the technical field of organic light-emitting panels, in particular to an Al-based organic light-emitting panel pixel compensation method and system. Comprising the following steps: setting a plurality of display sub-areas according to equipment parameters of the organic light-emitting panel; generating an expected aging curve of each display sub-region according to a preset intelligent agent, and generating a first-level compensation strategy according to all the expected aging curves; the intelligent agent judges whether a correction instruction of a primary compensation strategy is generated or not according to the real-time panel display data; generating a state deviation value of each display sub-region according to a preset feedback time node, and judging whether an updating instruction is generated or not according to all the state deviation values; regional aging prediction is carried out on the organic light-emitting panel through the intelligent agent, the first-level compensation strategy is generated according to the expected aging state of each display sub-region, pixel pre-compensation of the organic light-emitting panel is achieved, pixel deviation caused by aging of partial regions of the organic light-emitting panel is avoided, and the display effect of the organic light-emitting panel is improved.

Description

Technical Field

[0001] The present application relates to the technical field of organic light-emitting panels, and in particular to a pixel compensation method and system for an organic light-emitting panel based on Al. Background Art

[0002] Organic electroluminescent display panel is a new type of display technology. It has the characteristics of high contrast, bright colors, fast response speed, etc., making the display effect more outstanding. It occupies an important position in the display field. However, at present, organic light-emitting panels have problems such as pixel aging, brightness attenuation and color shift, which greatly affect the operation of the organic light-emitting panels. In addition, the pixel compensation effect of the organic light-emitting panels in the prior art is relatively poor, which reduces the display effect of the display panel. Summary of the invention

[0003] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a pixel compensation method and system for an organic light-emitting panel based on Al, aiming to improve the pixel compensation efficiency of the organic light-emitting panel and improve the operating efficiency of the organic light-emitting panel.

[0004] In some embodiments of the present application, a pixel compensation method for an Al-based organic light-emitting panel is provided, comprising: Setting a plurality of display sub-areas according to device parameters of the organic light emitting panel; Generate an expected aging curve for each display sub-area according to a preset intelligent agent, and generate a first-level compensation strategy according to all expected aging curves; The agent determines whether to generate correction instructions for the first-level compensation strategy based on the real-time panel display data; Generate a state deviation value for each display sub-area according to a preset feedback time node, and determine whether to generate an update instruction according to all state deviation values; When multiple display sub-areas are set, it includes: Create a display sub-area sequence A, A=(a1,a2…a i …a n ), where a i is the i-th display sub-area; n is the number of display sub-areas.

[0005] In some embodiments of the present application, when generating a primary compensation strategy, it includes: Set multiple compensation cycles according to all expected aging curves; Establish the compensation cycle sequence T, T=(t1, t2…t i …t m ), where t i is the i-th compensation cycle; m is the number of compensation cycles; According to the compensation cycle sequence T, set t i Compensation cycle for the target; The agent sequentially generates the expected attenuation value of each display sub-area in the target compensation period; Establish the expected attenuation value series B of the target compensation cycle, B=(b1,b2…b i …b n ), where b i is the expected attenuation value of the i-th display sub-area in the target compensation period; Generate multiple initial sub-strategies of the target compensation period according to the expected decay value sequence B; Generate multiple initial sub-strategies for each compensation period in sequence; Generate multiple compensation sub-strategies based on all initial sub-strategies, and establish a compensation sub-strategy sequence P, P = (p1, p2…p i …p r ), where p i is the i-th compensation sub-strategy; Generate a first-level compensation strategy based on all compensation sub-strategies.

[0006] In some embodiments of the present application, when generating multiple initial sub-strategies of a target compensation period, the method includes: Preset expected attenuation value threshold B1; If b i >B1, set the i-th display sub-region as the attenuation sub-region in the target compensation period; Obtain all attenuation sub-regions within the target compensation period; Establish the attenuation sub-area sequence A1, A1=(a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th attenuation sub-region within the target compensation period; n1 is the number of attenuation sub-regions within the target compensation period; A plurality of initial sub-strategies are generated according to the attenuation sub-region sequence A1.

[0007] In some embodiments of the present application, when a primary compensation strategy is generated according to all compensation sub-strategies, it includes: According to the compensation sub-strategy sequence P, set p in turn i Compensate sub-strategies for the target; Generate a compensation evaluation value c of the target compensation sub-strategy; c=e1*Q1*[ j i ]+e2*Q2*[ β i *w i ]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; j i is the running evaluation value of the i-th compensation cycle generated based on the target compensation sub-strategy; θ1 is the number of strategy evaluation indicators; β i is the influencing factor of the i-th strategy evaluation index; w i is the reference value of the i-th strategy evaluation index generated based on the target compensation sub-strategy; Generate compensation evaluation values ​​of each compensation sub-strategy in turn; Establish compensation evaluation value series C, C=(c1, c2…c i …c r ), where ci is the compensation evaluation value of the i-th compensation sub-strategy; Set the maximum value c in the compensation evaluation value sequence C max The corresponding compensation sub-strategy is the first-level compensation strategy.

[0008] In some embodiments of the present application, determining whether to generate a correction instruction for a primary compensation strategy includes: Establish image buffer queue based on real-time panel display data; The agent reads the target single-frame image in the image buffer queue; Generate an image prediction data packet according to the image buffer queue; Generate display deviation values ​​for each display sub-area according to the target single-frame image and the image prediction data packet; Establish a display deviation value series D, D=(d1, d2…d i …d n ), where d i is the display deviation value of the i-th display sub-area; Generate a modified evaluation value v, v= η i *k i ]; in, is the number of corrected evaluation indicators; η i is the influencing factor of the i-th modified evaluation index; k i is the reference value of the i-th modified evaluation index generated based on the displayed deviation value series; Preset modified evaluation value threshold V1; When v>V1, a correction instruction for the first-level compensation strategy is generated.

[0009] In some embodiments of the present application, when generating the display deviation value of each display sub-area, it includes: Set a in sequence according to the display sub-area sequence A i is the target sub-region; Generate a display deviation value d of the target sub-area; d=e3*Q3*[ (s 1i -s' i ) 2 ]+e4*Q4*[ (s 2i -s' i ) 2 ]; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; To display the number of indicators; 1i is the primary reference value of the i-th display index of the target sub-region generated based on the target single-frame image; s 2i is the secondary reference value of the i-th display index of the target sub-region generated based on the image prediction data packet; s' i is the standard reference value of the i-th display indicator of the target sub-area.

[0010] In some embodiments of the present application, when generating the state deviation value of each display sub-area, it includes: Set a in sequence according to the display sub-area sequence A i is the sub-region to be diagnosed; Obtaining the feedback data packet of the sub-area to be diagnosed at the current feedback time node; Generate a state deviation value f of the sub-area to be diagnosed at the current feedback time node; f= µ i *Y(i)*(h i -h' i )]; Among them, θ4 is the number of monitoring indicators; µ i is the influencing factor of the i-th monitoring indicator; h i is the actual reference value of the monitoring indicator of the i-th sub-area to be diagnosed at the current feedback time node generated based on the feedback data packet; h' i is the expected standard reference value of the i-th monitoring indicator of the sub-area to be diagnosed at the current feedback time node; The state deviation value of each display sub-area is generated sequentially.

[0011] In some embodiments of the present application, when determining whether to generate an update instruction according to all state deviation values, the method includes: Generate an updated evaluation value g based on all state deviation values; g= f i ]; Among them, f iis the state deviation value of the i-th display sub-area at the current feedback time node; Preset update evaluation value threshold G1; If g>G1, the current feedback time node generates an update instruction.

[0012] In some embodiments of the present application, a pixel compensation system of an Al-based organic light-emitting panel is provided, comprising: Central control unit, used to build intelligent agents; The central control unit is also used to set multiple display sub-areas according to the device parameters of the organic light-emitting panel; The intelligent agent is used to generate an expected aging curve for each display sub-region; A compensation scheduling unit, used to generate a first-level compensation strategy according to all expected aging curves; The intelligent agent is also used to determine whether to generate a correction instruction for the primary compensation strategy based on the real-time panel display data; The central control unit also includes: The first processing module is used to generate a state deviation value of each display sub-area according to a preset feedback time node, and determine whether to generate an update instruction according to all the state deviation values.

[0013] In some embodiments of the present application, the compensation scheduling unit includes: A first scheduling module, used for setting a plurality of compensation cycles according to all expected aging curves; The first scheduling module is also used to establish a compensation cycle sequence T, T = (t1, t2 ... t i …t m ), where t i is the i-th compensation cycle; m is the number of compensation cycles; The second scheduling module is used to set t in turn according to the compensation cycle sequence T i Compensation cycle for the target; The second scheduling module is also used to establish an expected attenuation value sequence B of the target compensation period, B=(b1, b2…b i …b n ), where b i is the expected attenuation value of the i-th display sub-area in the target compensation period; Generate multiple initial sub-strategies of the target compensation period according to the expected decay value sequence B; Generate multiple initial sub-strategies for each compensation period in sequence; Generate multiple compensation sub-strategies based on all initial sub-strategies, and establish a compensation sub-strategy sequence P, P = (p1, p2…p i …p r ), where p i is the i-th compensation sub-strategy; Generate a first-level compensation strategy based on all compensation sub-strategies.

[0014] Compared with the prior art, the pixel compensation method and system of an organic light-emitting panel based on Al in the embodiment of the present application has the following beneficial effects: An intelligent agent is built based on Al technology. The intelligent agent predicts the aging of the organic light-emitting panel by region, generates a first-level compensation strategy according to the expected aging status of each display sub-region, realizes pixel pre-compensation for the organic light-emitting panel, avoids pixel deviation caused by aging of some areas of the organic light-emitting panel, and improves the display effect of the organic light-emitting panel.

[0015] The intelligent agent analyzes the real-time panel display data and dynamically corrects the compensation parameters of each display sub-area, thereby improving the operating efficiency of the organic light-emitting panel. By periodically monitoring and analyzing the organic light-emitting panel, the expected aging curves are corrected in time to improve the pixel compensation efficiency of the organic light-emitting panel. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of a pixel compensation method of an Al-based organic light-emitting panel in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0017] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0018] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0019] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0020] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0021] like Figure 1 As shown, a pixel compensation method of an organic light-emitting panel based on Al in a preferred embodiment of the present application includes: S101: setting a plurality of display sub-areas according to device parameters of the organic light emitting panel; S102: generating an expected aging curve for each display sub-area according to a preset intelligent agent, and generating a primary compensation strategy according to all the expected aging curves; S103: The intelligent agent determines whether to generate a correction instruction for the first-level compensation strategy based on the real-time panel display data; S104: generating a state deviation value of each display sub-area according to a preset feedback time node, and determining whether to generate an update instruction according to all state deviation values; When multiple display sub-areas are set, it includes: Create a display sub-area sequence A, A=(a1,a2…a i …a n ), where a i is the i-th display sub-area; n is the number of display sub-areas.

[0022] Specifically, a plurality of display sub-regions are established according to the pixel units of the organic light emitting panel, and a single pixel unit is set as a single display sub-region.

[0023] Specifically, an intelligent entity is constructed through the historical operating parameters of the organic light-emitting panel and Al technology. The intelligent entity can predict the pixel usage frequency and expected aging parameters of each display sub-area based on the historical operating parameters, thereby generating the expected aging curve of each display sub-area.

[0024] Specifically, the intelligent agent can also analyze the real-time display data of the organic light-emitting panel, generate parameters such as the demand load and pixel refresh frequency of each display sub-area, and dynamically adjust the first-level compensation strategy.

[0025] Specifically, when generating a first-level compensation strategy, it includes: Set multiple compensation cycles according to all expected aging curves; Establish the compensation cycle sequence T, T=(t1, t2…t i…t m ), where t i is the i-th compensation cycle; m is the number of compensation cycles; According to the compensation cycle sequence T, set t i Compensation cycle for the target; The agent sequentially generates the expected attenuation value of each display sub-area in the target compensation period; Establish the expected attenuation value series B of the target compensation cycle, B=(b1,b2…b i …b n ), where b i is the expected attenuation value of the i-th display sub-area in the target compensation period; Generate multiple initial sub-strategies of the target compensation period according to the expected decay value sequence B; Generate multiple initial sub-strategies for each compensation period in sequence; Generate multiple compensation sub-strategies based on all initial sub-strategies, and establish a compensation sub-strategy sequence P, P = (p1, p2…p i …p r ), where p i is the i-th compensation sub-strategy; Generate a first-level compensation strategy based on all compensation sub-strategies.

[0026] Specifically, at the end time node of a single compensation cycle, the aging change value of the organic light-emitting panel is generated according to the expected aging curve of each display sub-area. The larger the aging change value, the more display sub-areas of the organic light-emitting panel will age in the subsequent compensation cycle, the faster the aging speed will be, and the greater the frequency of fluctuations in the overall display effect will be.

[0027] Specifically, the larger the aging evaluation value is, the shorter the duration of the next compensation cycle is. Multiple compensation cycles are constructed through overall analysis of each expected aging curve.

[0028] Specifically, when generating multiple initial sub-strategies of the target compensation cycle, it includes: Preset expected attenuation value threshold B1; If b i >B1, set the i-th display sub-region as the attenuation sub-region in the target compensation period; Obtain all attenuation sub-regions within the target compensation period; Establish the attenuation sub-area sequence A1, A1=(a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th attenuation sub-region within the target compensation period; n1 is the number of attenuation sub-regions within the target compensation period; A plurality of initial sub-strategies are generated according to the attenuation sub-region sequence A1.

[0029] Specifically, according to a single attenuation sub-region, pixels can be compensated by increasing the corresponding driving current, or by adjusting the operating parameters of adjacent display sub-regions. Multiple initial sub-strategies are constructed according to the different selection types of each attenuation sub-region, among which a single initial sub-strategy provides a single compensation method for each attenuation sub-region.

[0030] Specifically, an initial sub-strategy combination of a single compensation cycle is selected in turn, a single compensation sub-strategy is constructed, and all compensation sub-strategies are generated based on the exhaustive method.

[0031] Specifically, an aging state-expected attenuation value mapping model is constructed. The more serious the aging is, the larger the corresponding expected attenuation value is, and the greater the possibility of pixel deviation in the display sub-area during operation.

[0032] Specifically, an expected attenuation value threshold is set according to historical operating parameters of the organic light-emitting panel. When the expected attenuation value of a display sub-area is greater than the preset expected attenuation value threshold, it indicates that pixel deviation will occur in the display sub-area during normal operation.

[0033] Specifically, when generating a primary compensation strategy based on all compensation sub-strategies, it includes: According to the compensation sub-strategy sequence P, set p in turn i Compensate sub-strategies for the target; Generate a compensation evaluation value c of the target compensation sub-strategy; c=e1*Q1*[ j i ]+e2*Q2*[ β i *w i ]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; j i is the running evaluation value of the i-th compensation cycle generated based on the target compensation sub-strategy; θ1 is the number of strategy evaluation indicators; β i is the influencing factor of the i-th strategy evaluation index; w i is the reference value of the i-th strategy evaluation index generated based on the target compensation sub-strategy; Generate compensation evaluation values ​​of each compensation sub-strategy in turn; Establish compensation evaluation value series C, C=(c1, c2…c i …c r ), where ci is the compensation evaluation value of the i-th compensation sub-strategy; Set the maximum value c in the compensation evaluation value sequence C max The corresponding compensation sub-strategy is the first-level compensation strategy.

[0034] Specifically, the operation evaluation value can be set based on multiple parameters such as the average load value of each display sub-area in the current compensation cycle, the average power consumption, the difference between the highest load value and the lowest load value, the pixel uniformity, the loss of each display sub-area, etc. The larger the operation evaluation value, the better the overall operating status of the organic light-emitting panel in the current compensation cycle.

[0035] Specifically, the strategy evaluation indicators include, but are not limited to, the volatility of the operating parameters of each display sub-area, the expected life loss of each display sub-area, the switching frequency of the compensation method of a single display sub-area and other parameters. By quantifying each strategy evaluation indicator, each compensation strategy can be evaluated in real time.

[0036] Specifically, the larger the compensation evaluation value, the higher the overall adjustment efficiency of the corresponding compensation sub-strategy for the organic light-emitting panel, thus avoiding the problem of long-term high-load operation in local areas and accelerated aging.

[0037] Specifically, all parameters in the model are normalized by presetting the first fixed coefficient and the second fixed coefficient, so that each parameter in the model is in the same value range.

[0038] It can be understood that in the above-mentioned embodiment, an intelligent agent is constructed based on Al technology, and the intelligent agent predicts the aging of the organic light-emitting panel by region, generates a first-level compensation strategy according to the expected aging state of each display sub-region, realizes pixel pre-compensation for the organic light-emitting panel, avoids pixel deviation caused by aging of some areas of the organic light-emitting panel, and improves the display effect of the organic light-emitting panel.

[0039] In a preferred embodiment of the present application, when determining whether to generate a correction instruction for the first-level compensation strategy, the process includes: Establish image buffer queue based on real-time panel display data; The agent reads the target single-frame image in the image buffer queue; Generate an image prediction data packet according to the image buffer queue; Generate display deviation values ​​for each display sub-area according to the target single-frame image and the image prediction data packet; Establish a display deviation value series D, D=(d1, d2…d i …d n ), where d i is the display deviation value of the i-th display sub-area; Generate a modified evaluation value v, v= η i*k i ]; in, is the number of corrected evaluation indicators; η i is the influencing factor of the i-th modified evaluation index; k i is the reference value of the i-th modified evaluation index generated based on the displayed deviation value series; Preset modified evaluation value threshold V1; When v>V1, a correction instruction for the first-level compensation strategy is generated.

[0040] Specifically, the correction evaluation index includes, but is not limited to, the maximum value, minimum value, variance, average value and total value of the display deviation value series D. By quantifying each correction evaluation index, the current panel display data is analyzed. The larger the correction evaluation value, the more the current primary compensation strategy needs to be adjusted.

[0041] Specifically, the panel display data, that is, the real-time image, is first stored in the cache queue. The intelligent agent reads the target single-frame image, that is, the latest frame image, at the head of the queue, and then obtains the historical frame data at the tail of the queue. A time series model (such as LSTM) or inter-frame difference method is used to predict the features of future frames based on historical data, thereby generating an image prediction data packet.

[0042] Specifically, a standard comparison image is constructed based on the historical operating parameters of the organic light-emitting panel and all expected aging curves. By analyzing the difference between the target single-frame image, the image prediction data package and the standard comparison image, the display deviation value of each display sub-area is generated. The larger the display deviation value, the greater the deviation between the real-time panel display data and the standard comparison image. The pixel compensation parameters need to be adjusted in a timely manner.

[0043] Specifically, the standard comparison image refers to the pixel requirements of each display sub-area when the organic light-emitting panel is in a normal operating state at the current time node.

[0044] Specifically, when generating the display deviation value of each display sub-area, it includes: Set a in sequence according to the display sub-area sequence A i is the target sub-region; Generate a display deviation value d of the target sub-area; d=e3*Q3*[ (s 1i -s' i ) 2 ]+e4*Q4*[ (s 2i -s' i ) 2 ]; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; To display the number of indicators; 1i is the primary reference value of the i-th display index of the target sub-region generated based on the target single-frame image; s 2i is the secondary reference value of the i-th display index of the target sub-region generated based on the image prediction data packet; s' i is the standard reference value of the i-th display indicator of the target sub-area.

[0045] Specifically, all parameters in the model are normalized by presetting the third fixed coefficient and the fourth fixed coefficient, so that each parameter in the model is in the same value range.

[0046] Specifically, display indicators include, but are not limited to, display brightness, pixel refresh rate, load value and other parameters.

[0047] Specifically, the standard reference value is set according to the standard contrast image, that is, the operating value of each display indicator when the target sub-area displays the standard contrast image.

[0048] It is understandable that in the above embodiment, the intelligent agent dynamically corrects the compensation parameters of each display sub-area by analyzing the real-time panel display data, thereby improving the operating efficiency of the organic light-emitting panel.

[0049] In a preferred embodiment of the present application, when generating the state deviation value of each display sub-area, it includes: Set a in sequence according to the display sub-area sequence A i is the sub-region to be diagnosed; Obtaining the feedback data packet of the sub-area to be diagnosed at the current feedback time node; Generate a state deviation value f of the sub-area to be diagnosed at the current feedback time node; f= µ i *Y(i)*(h i -h' i )]; Among them, θ4 is the number of monitoring indicators; µ i is the influencing factor of the i-th monitoring indicator; h i is the actual reference value of the monitoring indicator of the i-th sub-area to be diagnosed at the current feedback time node generated based on the feedback data packet; h' i is the expected standard reference value of the i-th monitoring indicator of the sub-area to be diagnosed at the current feedback time node; The state deviation value of each display sub-area is generated sequentially.

[0050] Specifically, the monitoring indicators include, but are not limited to, activation time within the display sub-area, current value of the corresponding driving circuit, whether there are bad pixels, consistency with adjacent display sub-areas, and other parameters.

[0051] Specifically, the expected standard reference value is set according to the expected aging curve of the sub-area to be diagnosed, that is, the reference value of each monitoring indicator of the sub-area to be diagnosed under normal operating conditions.

[0052] Specifically, judging whether to generate an update instruction according to all state deviation values ​​includes: Generate an updated evaluation value g based on all state deviation values; g= f i ]; Among them, f i is the state deviation value of the i-th display sub-area at the current feedback time node; Preset update evaluation value threshold G1; If g>G1, the current feedback time node generates an update instruction.

[0053] Specifically, each expected aging curve is corrected according to the update instruction, and the first-level compensation strategy is reset according to the update result.

[0054] It is understandable that, in the above embodiments, by periodically monitoring and analyzing the organic light-emitting panel, each expected aging curve is corrected in time, thereby improving the pixel compensation efficiency of the organic light-emitting panel.

[0055] Based on another preferred embodiment of a pixel compensation method of an organic light-emitting panel based on Al in any of the above preferred embodiments, this preferred embodiment provides a pixel compensation method of an organic light-emitting panel based on Al, including: Central control unit, used to build intelligent agents; The central control unit is also used to set a plurality of display sub-areas according to device parameters of the organic light-emitting panel; The agent is used to generate expected aging curves for each display sub-region; A compensation scheduling unit, used to generate a first-level compensation strategy according to all expected aging curves; The agent is also used to determine whether to generate correction instructions for the first-level compensation strategy based on the real-time panel display data; The central control unit also includes: The first processing module is used to generate a state deviation value of each display sub-area according to a preset feedback time node, and determine whether to generate an update instruction according to all the state deviation values.

[0056] Specifically, the compensation scheduling unit includes: A first scheduling module, used for setting a plurality of compensation cycles according to all expected aging curves; The first scheduling module is also used to establish a compensation cycle sequence T, T=(t1, t2…t i …t m ), where t i is the i-th compensation cycle; m is the number of compensation cycles; The second scheduling module is used to set t in turn according to the compensation cycle sequence T i Compensation cycle for the target; The second scheduling module is also used to establish the expected attenuation value sequence B of the target compensation period, B=(b1, b2…b i …b n ), where b i is the expected attenuation value of the i-th display sub-area in the target compensation period; Generate multiple initial sub-strategies of the target compensation period according to the expected decay value sequence B; Generate multiple initial sub-strategies for each compensation period in sequence; Generate multiple compensation sub-strategies based on all initial sub-strategies, and establish a compensation sub-strategy sequence P, P = (p1, p2…p i …p r ), where p i is the i-th compensation sub-strategy; Generate a first-level compensation strategy based on all compensation sub-strategies.

[0057] According to the first concept of the present application, an intelligent agent is constructed based on Al technology. The intelligent agent predicts the aging of the organic light-emitting panel by region, generates a first-level compensation strategy according to the expected aging status of each display sub-region, realizes pixel pre-compensation for the organic light-emitting panel, avoids pixel deviation caused by aging of some areas of the organic light-emitting panel, and improves the display effect of the organic light-emitting panel.

[0058] According to the second concept of the present application, the intelligent body analyzes the real-time panel display data and dynamically corrects the compensation parameters of each display sub-area, thereby improving the operating efficiency of the organic light-emitting panel. By periodically monitoring and analyzing the organic light-emitting panel, the expected aging curves are corrected in time to improve the pixel compensation efficiency of the organic light-emitting panel.

[0059] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A pixel compensation method for an Al-based organic light-emitting panel, characterized in that: include: Setting a plurality of display sub-areas according to device parameters of the organic light emitting panel; Generate an expected aging curve for each display sub-area according to a preset intelligent agent, and generate a first-level compensation strategy according to all expected aging curves; The agent determines whether to generate correction instructions for the first-level compensation strategy based on the real-time panel display data; Generate a state deviation value for each display sub-area according to a preset feedback time node, and determine whether to generate an update instruction according to all state deviation values; When multiple display sub-areas are set, it includes: Create a display sub-area sequence A, A=(a1,a2…a i …a n ), where a i is the i-th display sub-area; n is the number of display sub-areas.

2. The pixel compensation method of the Al-based organic light-emitting panel according to claim 1, characterized in that: When generating a first-level compensation strategy, include: Set multiple compensation cycles according to all expected aging curves; Establish the compensation cycle sequence T, T=(t1, t2…t i …t m ), where t i is the i-th compensation cycle; m is the number of compensation cycles; According to the compensation cycle sequence T, set t i Compensation cycle for the target; The agent sequentially generates the expected attenuation value of each display sub-area in the target compensation period; Establish the expected attenuation value series B of the target compensation cycle, B=(b1,b2…b i …b n ), where b i is the expected attenuation value of the i-th display sub-area in the target compensation period; Generate multiple initial sub-strategies of the target compensation period according to the expected decay value sequence B; Generate multiple initial sub-strategies for each compensation period in sequence; Generate multiple compensation sub-strategies based on all initial sub-strategies, and establish a compensation sub-strategy sequence P, P = (p1, p2…p i …p r ), where p i is the i-th compensation sub-strategy; Generate a first-level compensation strategy based on all compensation sub-strategies.

3. The pixel compensation method of the Al-based organic light-emitting panel according to claim 2, characterized in that: When generating multiple initial sub-strategies for a target compensation period, include: Preset expected attenuation value threshold B1; If b i >B1, set the i-th display sub-region as the attenuation sub-region in the target compensation period; Obtain all attenuation sub-regions within the target compensation period; Establish the attenuation sub-area sequence A1, A1=(a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th attenuation sub-region within the target compensation period; n1 is the number of attenuation sub-regions within the target compensation period; A plurality of initial sub-strategies are generated according to the attenuation sub-region sequence A1.

4. The pixel compensation method of the Al-based organic light-emitting panel according to claim 3, characterized in that: When generating a primary compensation strategy based on all compensation sub-strategies, it includes: According to the compensation sub-strategy sequence P, set p in turn i Compensate sub-strategies for the target; Generate a compensation evaluation value c of the target compensation sub-strategy; c=e1*Q1*[ j i ]+e2*Q2*[ β i *w i ]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; j i is the running evaluation value of the i-th compensation cycle generated based on the target compensation sub-strategy; θ1 is the number of strategy evaluation indicators; β i is the influencing factor of the i-th strategy evaluation index; w i is the reference value of the i-th strategy evaluation index generated based on the target compensation sub-strategy; Generate compensation evaluation values ​​of each compensation sub-strategy in turn; Establish compensation evaluation value series C, C=(c1, c2…c i …c r ), where ci is the compensation evaluation value of the i-th compensation sub-strategy; Set the maximum value c in the compensation evaluation value sequence C max The corresponding compensation sub-strategy is the first-level compensation strategy.

5. The pixel compensation method of the Al-based organic light-emitting panel according to claim 4, characterized in that: When determining whether to generate a correction instruction for the first-level compensation strategy, it includes: Establish image buffer queue based on real-time panel display data; The agent reads the target single-frame image in the image buffer queue; Generate an image prediction data packet according to the image buffer queue; Generate display deviation values ​​for each display sub-area according to the target single-frame image and the image prediction data packet; Establish a display deviation value series D, D=(d1, d2…d i …d n ), where d i is the display deviation value of the i-th display sub-area; Generate a modified evaluation value v, v= η i *k i ]; in, is the number of corrected evaluation indicators; η i is the influencing factor of the i-th modified evaluation index; k i is the reference value of the i-th modified evaluation index generated based on the displayed deviation value series; Preset modified evaluation value threshold V1; When v>V1, a correction instruction for the first-level compensation strategy is generated.

6. The pixel compensation method of the Al-based organic light-emitting panel according to claim 5, characterized in that: When generating the display deviation value of each display sub-area, it includes: Set a in sequence according to the display sub-area sequence A i is the target sub-region; Generate a display deviation value d of the target sub-area; d=e3*Q3*[ (s 1i -s' i ) 2 ]+e4*Q4*[ (s 2i -s' i ) 2 ]; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; To display the number of indicators; 1i is the primary reference value of the i-th display index of the target sub-region generated based on the target single-frame image; s 2i is the secondary reference value of the i-th display index of the target sub-region generated based on the image prediction data packet; s' i is the standard reference value of the i-th display indicator of the target sub-area.

7. The pixel compensation method of the Al-based organic light-emitting panel according to claim 5, characterized in that: When generating the status deviation value of each display sub-area, it includes: Set a in sequence according to the display sub-area sequence A i is the sub-region to be diagnosed; Obtaining the feedback data packet of the sub-area to be diagnosed at the current feedback time node; Generate a state deviation value f of the sub-area to be diagnosed at the current feedback time node; f= µ i *Y(i)*(h i -h' i )]; Among them, θ4 is the number of monitoring indicators; µ i is the influencing factor of the ith monitoring indicator; h i is the actual reference value of the monitoring indicator of the i-th sub-area to be diagnosed at the current feedback time node generated based on the feedback data packet; h' i is the expected standard reference value of the i-th monitoring indicator of the sub-area to be diagnosed at the current feedback time node; The state deviation value of each display sub-area is generated sequentially.

8. The pixel compensation method of the Al-based organic light-emitting panel according to claim 7, characterized in that: When judging whether to generate an update instruction based on all state deviation values, it includes: Generate an updated evaluation value g based on all state deviation values; g= f i ]; Among them, f i is the state deviation value of the i-th display sub-area at the current feedback time node; Preset update evaluation value threshold G1; If g>G1, the current feedback time node generates an update instruction.

9. A pixel compensation system for an organic light-emitting panel based on Al, using the pixel compensation method for an organic light-emitting panel based on Al according to any one of claims 1 to 8, characterized in that: include: Central control unit, used to build intelligent agents; The central control unit is also used to set multiple display sub-areas according to the device parameters of the organic light-emitting panel; The intelligent agent is used to generate an expected aging curve for each display sub-region; A compensation scheduling unit, used to generate a first-level compensation strategy according to all expected aging curves; The intelligent agent is also used to determine whether to generate a correction instruction for the primary compensation strategy based on the real-time panel display data; The central control unit also includes: The first processing module is used to generate a state deviation value of each display sub-area according to a preset feedback time node, and determine whether to generate an update instruction according to all the state deviation values.

10. The pixel compensation system of the organic light emitting panel as claimed in claim 9, characterized in that: The compensation scheduling unit comprises: A first scheduling module, used for setting a plurality of compensation cycles according to all expected aging curves; The first scheduling module is also used to establish a compensation cycle sequence T, T = (t1, t2 ... t i …t m ), where t i is the i-th compensation cycle; m is the number of compensation cycles; The second scheduling module is used to set t in turn according to the compensation cycle sequence T i Compensation cycle for the target; The second scheduling module is also used to establish an expected attenuation value sequence B of the target compensation period, B=(b1, b2…b i …b n ), where b i is the expected attenuation value of the i-th display sub-area in the target compensation period; Generate multiple initial sub-strategies of the target compensation period according to the expected decay value sequence B; Generate multiple initial sub-strategies for each compensation period in sequence; Generate multiple compensation sub-strategies based on all initial sub-strategies, and establish a compensation sub-strategy sequence P, P = (p1, p2…p i …p r ), where p i is the i-th compensation sub-strategy; Generate a first-level compensation strategy based on all compensation sub-strategies.

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