CN-120048219-B - Self-adaptive adjusting method for active matrix organic light-emitting display

CN120048219BCN 120048219 BCN120048219 BCN 120048219BCN-120048219-B

Abstract

The invention relates to the technical field of organic light-emitting display data processing, in particular to a self-adaptive adjustment method of active matrix organic light-emitting display, which comprises the steps of collecting ambient light intensity and color temperature data by deploying distributed photosensitive sensor nodes, inputting a dynamic aging model micro-service cluster to perform parameter coupling calculation by combining current stress parameter fluctuation captured by a programmable current sampling module and heat distribution data of a temperature sensor network, and outputting time-varying degradation characteristic parameters; the invention solves the problem that the traditional static model cannot adapt to compensation deviation caused by current stress, temperature bias and material relaxation coupling, realizes dynamic balance of display brightness, color gamut and power consumption, and prolongs the service life of a display panel.

Inventors

ZHANG FUXUAN
CUI CAOXIANG
ZHU RUIPING
GUO BAIJUN
LV YONG
ZHANG CHUNYANG
LI XIAODONG

Assignees

国鲸合创(青岛)科技有限公司

Dates

Publication Date: 20260512
Application Date: 20250327

Claims (10)

1. An adaptive adjustment method for an active matrix organic light emitting display, comprising: Collecting ambient light intensity and color temperature data through deployment of distributed photosensitive sensor nodes, and transmitting the ambient light intensity and color temperature data to a dynamic aging model micro-service cluster through a central data bus; capturing current stress parameter fluctuation in a driving circuit by using a programmable current sampling module, acquiring heat distribution data acquired by a temperature sensor network, inputting the current stress parameter fluctuation and the heat distribution data into a dynamic aging model micro-service cluster for parameter coupling calculation, and outputting time-varying degradation characteristic parameters; Based on the time-varying degradation characteristic parameters output by the dynamic aging model micro-service cluster, constructing a virtual aging scene through a containerized simulation micro-service, and generating a compensation coefficient matrix; inputting the compensation coefficient matrix into a multi-objective loss function solver, carrying out parameter optimization by combining a preset delta E color difference threshold value and a power consumption constraint condition, and outputting optimized display driving parameters; And executing real-time adjustment of the optimized display driving parameters through an edge and cloud collaborative architecture, synchronizing the compensation coefficient matrix to an online learning micro-service, and triggering incremental model update based on the optimized display driving parameters and the compensation coefficient matrix.
2. The adaptive adjustment method of an active matrix organic light emitting display of claim 1, wherein the data acquisition process of the distributed photosensitive sensor node comprises: each sensor node independently collects ambient light parameters through a micro-service architecture and uploads the ambient light parameters to a central data bus through a lightweight API protocol; After receiving multi-source data comprising environmental light parameters, current stress parameter fluctuation and temperature distribution data, the central data bus calls an edge computing unit to perform abnormal pulse preprocessing on the current stress parameter fluctuation to generate filtered current stress time sequence data; The temperature sensor network establishes a heat conduction path model according to the preprocessed current stress time sequence data based on a topology-aware dynamic arrangement strategy, and corrects the spatial resolution deviation of heat distribution data.
3. The adaptive tuning method of an active matrix organic light emitting display of claim 2, wherein the constructing of the dynamic aging model micro-service cluster comprises: splitting a current stress accumulation calculation service, a temperature bias nonlinear function solver and a material relaxation coefficient matrix generator into independent micro-services; the data pipeline coupling between the current stress accumulation calculation service and the material relaxation coefficient matrix generator is realized through an asynchronous message queue, wherein the filtered current stress time sequence data triggers the real-time correction of the material relaxation coefficient matrix generator; The material relaxation coefficient matrix generator invokes a pre-stored current density and mobility decay curve in an experiment database through the RPC, and quantifies the mobility decay error by combining the spatial resolution deviation of the corrected thermal distribution data.
4. The adaptive modulation method for an active matrix organic light emitting display of claim 3 wherein the operation of the containerized simulation microservice comprises: Deploying an LSTM network as a containerized reasoning micro-service, receiving the filtered current stress time sequence data stream, and then executing on-line weight fine adjustment to generate a self-adaptive time sequence association prediction model; Injecting the response delay data of the organic material into the training set of the self-adaptive time sequence associated prediction model by adopting an incremental learning algorithm, and updating the weight parameters of the self-adaptive time sequence associated prediction model; And calculating a compensation strategy in parallel based on the self-adaptive time sequence association prediction model through the distributed simulation micro-service, and maintaining the time-space association of compensation parameters by adopting a consistent hash algorithm.
5. The method for adaptive tuning an active matrix organic light emitting display of claim 4, wherein the process of modifying the material relaxation coefficient matrix comprises: Updating the temperature bias parameters of the intrinsic relaxation effect of the material according to the corrected heat distribution data output by the temperature sensor network; invoking a pre-stored current density and mobility decay curve in an experimental database, and generating a mobility decay compensation gradient by combining an output result of the current stress accumulation calculation service; and carrying out nonlinear coupling on the mobility decay compensation gradient and the current stress accumulation calculation result, and outputting the corrected relaxation coefficient matrix to the dynamic aging model micro-service cluster.
6. The adaptive adjustment method of an active matrix organic light emitting display of claim 5, wherein the constructing process of the virtual aging scene comprises: generating a pixel-level aging compensation initial strategy according to the time-varying degradation parameters output by the dynamic aging model micro-service cluster; Splitting the pixel-level aging compensation initial strategy into three parallel micro-service tasks of gamma correction weight calculation, sub-pixel luminous time length optimization and TFT grid voltage adjustment gradient; And distributing the three parallel micro-service tasks to the distributed computing nodes through a service grid for cooperative execution, and recording the simulation state data of the virtual aging scene by adopting a transaction log.
7. The adaptive tuning method of an active matrix organic light emitting display of claim 6, wherein the optimization process of the multi-objective loss function solver comprises: Receiving a preset delta E color difference threshold, a residual shadow suppression index and a power consumption constraint condition, and constructing a pareto front edge analysis model; Synchronously updating the coupling weight parameters of the pareto front analysis model and the dynamic aging model through a bidirectional communication channel between the counter-propagation micro-service and the dynamic aging model micro-service cluster; and desensitizing the gradient shared data output by the counter-propagation micro-service by adopting a differential privacy technology.
8. The adaptive adjustment method of an active matrix organic light emitting display according to claim 7, wherein the performing of the edge and cloud co-architecture comprises: Mapping micro services on an edge end display driving chip register, and executing an optimized display driving parameter adjustment instruction output by the multi-objective loss function solver in real time; Synchronizing the version snapshot of the compensation coefficient matrix to a cloud historical database, and establishing an aging parameter version control link based on a time stamp; and acquiring brightness attenuation feedback data of the actual display panel through a subscription and release mode, and triggering the incremental model updating operation of the online learning micro-service.
9. The adaptive tuning method of an active matrix organic light emitting display of claim 8, wherein the incremental model update process comprises: After the online learning micro-service receives the brightness attenuation feedback data, generating a historical database update instruction and attaching a version snapshot of the compensation coefficient matrix; Routing the update instruction to the dynamic aging model micro-service cluster through a service grid, and triggering the current stress accumulation calculation service and parameter recalibration of a material relaxation coefficient matrix generator; and aggregating the brightness attenuation feedback data and the historical aging parameters of the cross-equipment by adopting a federal learning framework, and updating the weight coefficient of the dynamic aging model.
10. The adaptive modulation method for an active matrix organic light emitting display of claim 9, further comprising: the distributed simulation micro-service and edge preprocessing unit reduces the calculation load of a central node through asynchronous data processing and is used for supporting the dynamic expansion of the ultra-high resolution screen; The containerized simulation microserver dynamically allocates computing resources based on an elastic resource scheduling strategy to accelerate the verification efficiency of the compensation strategy of the virtual aging scene; the online learning micro-service and the federal learning framework synchronously optimize time-varying adaptive parameters and cross-equipment generalization parameters of the dynamic aging model through a closed-loop data link; The service grid and the preset version control middleware are based on simulation state data of the transaction log.

Description

Self-adaptive adjusting method for active matrix organic light-emitting display Technical Field The invention relates to the technical field of organic light-emitting display data processing, in particular to a self-adaptive adjusting method of active matrix organic light-emitting display. Background The self-adaptive adjustment of the active matrix organic light-emitting display is based on an ambient light sensor and a real-time feedback system, and the visual consistency of the brightness and the color temperature of a screen is maintained by detecting the external illumination intensity and the color temperature parameters and dynamically adjusting the pixel driving current and the sub-pixel light-emitting duration by combining a temperature compensation circuit. When high dynamic range content is detected, a pixel level compensation algorithm synchronously corrects the gate voltage of a Thin Film Transistor (TFT), compensates for brightness attenuation caused by aging of an organic material, and reduces the ghost effect in a high-contrast scene through dynamic refresh rate adjustment. The adjusting mechanism integrates photoelectric characteristic modeling and nonlinear optimization algorithms, and effectively prolongs the service life of the display while maintaining the color gamut coverage rate and delta E color difference index. In the prior art, a pixel level compensation algorithm based on a preset aging model is difficult to accurately adapt to time-varying characteristics of degradation rate of an organic light emitting unit, and a static parameter mapping relation cannot reflect a nonlinear aging track under the combined action of driving current stress, temperature bias and material intrinsic relaxation effect, so that accumulated deviation is generated between an aging compensation coefficient and actual attenuation of a pixel. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a self-adaptive adjustment method for active matrix organic light emitting display, which solves the problem that the static parameter mapping relation based on a preset aging model cannot be adapted to the nonlinear time-varying degradation characteristic of an organic light emitting unit under the coupling action of driving current stress, temperature bias and material relaxation effect, so that the accumulated deviation between an aging compensation coefficient and the actual attenuation amount is caused. In order to solve the technical problems, the specific technical scheme of the invention is as follows: The invention provides a self-adaptive adjusting method of active matrix organic light emitting display, comprising the following steps: Collecting ambient light intensity and color temperature data through deployment of distributed photosensitive sensor nodes, and transmitting the ambient light intensity and color temperature data to a dynamic aging model micro-service cluster through a central data bus; capturing current stress parameter fluctuation in a driving circuit by using a programmable current sampling module, acquiring heat distribution data acquired by a temperature sensor network, inputting the current stress parameter fluctuation and the heat distribution data into a dynamic aging model micro-service cluster for parameter coupling calculation, and outputting time-varying degradation characteristic parameters; Based on the time-varying degradation characteristic parameters output by the dynamic aging model micro-service cluster, constructing a virtual aging scene through a containerized simulation micro-service, and generating a compensation coefficient matrix; inputting the compensation coefficient matrix into a multi-objective loss function solver, carrying out parameter optimization by combining a preset delta E color difference threshold value and a power consumption constraint condition, and outputting optimized display driving parameters; And executing real-time adjustment of the optimized display driving parameters through an edge and cloud collaborative architecture, synchronizing the compensation coefficient matrix to an online learning micro-service, and triggering incremental model update based on the optimized display driving parameters and the compensation coefficient matrix. Further, the adaptive adjustment method for active matrix organic light emitting display of the present invention, the data acquisition process of the distributed photosensitive sensor node includes: each sensor node independently collects ambient light parameters through a micro-service architecture and uploads the ambient light parameters to a central data bus through a lightweight API protocol; After receiving multi-source data comprising environmental light parameters, current stress parameter fluctuation and temperature distribution data, the central data bus calls an edge computing unit to perform abnormal pulse preprocessing on the current stress parameter fluctuation to g