High-resolution organic display driving waveform generation method

Abstract

The invention relates to the technical field of organic light-emitting display data processing, in particular to a high-resolution organic display driving waveform generation method, which comprises the following steps of: dividing a pixel matrix into space blocks through distributed parameter analysis, extracting parasitic parameters in parallel by utilizing GPU (Graphics Processing Unit) nodes, and constructing a cross-block coupling model; generating a block parasitic parameter mapping table and a feature vector matrix; generating a segmented waveform parameter set containing curvature parameters based on the residual charge quantity data and dynamic gray scale segmented regulation and control; calling the brightness and voltage response data to execute nonlinear brightness correction, and generating a compensation pulse parameter in combination with a light intensity feedback loop; multi-mode driving strategies are classified and switched according to display content features, time sequence faults are eliminated through phase synchronization of a phase-locked loop, parasitic effect interference and brightness sudden change overshoot are effectively suppressed, gray scale compensation precision and refresh rate collaboration are improved, and display uniformity and dynamic picture smoothness are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of organic light-emitting display data processing, and in particular to a method for generating a high-resolution organic display driving waveform. Background Art

[0002] The high-resolution organic display drive waveform is the core electrical signal that controls the brightness and response speed of the organic light-emitting unit. It achieves dynamic control and color restoration of pixel grayscale by precisely adjusting the amplitude, frequency and duty cycle characteristics of the voltage or current. As the pixel density increases due to the increase in display resolution, the drive signal is easily interfered by parasitic capacitance and inductance effects in the transmission path, causing waveform distortion or timing offset, thereby reducing display uniformity and dynamic picture smoothness. In order to adapt to the nonlinear electrical characteristics of organic materials, the drive waveform needs to suppress charge residue in the low-frequency stage and increase the edge steepness in the high-frequency stage to shorten the pixel response time. At the same time, the grayscale accuracy is optimized through multi-level pulse superposition or dynamic compensation algorithm, and the refresh rate and signal fidelity are balanced under low power constraints, ultimately improving the visual clarity and color consistency of high-resolution display.

[0003] The existing dynamic compensation algorithm needs to synchronously process the nonlinear electrical parameters and dynamic refresh timing of the high-resolution pixel matrix during the driving waveform generation process, resulting in an exponential growth in the data calculation dimension as the resolution increases. The traditional serial computing architecture cannot meet the real-time iterative optimization of waveform parameters at high frame rates, causing an exclusive effect between grayscale compensation accuracy and refresh rate, resulting in the accumulation of timing synchronization errors and a decrease in signal fidelity, ultimately limiting the dynamic response and color reproduction capabilities of high-resolution organic displays. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method for generating a high-resolution organic display driving waveform to solve the problem that in the process of generating a high-resolution organic display driving waveform, the traditional dynamic compensation algorithm causes the grayscale compensation accuracy and refresh rate to be mutually exclusive due to the surge in nonlinear parameters of the high-dimensional pixel matrix and the refresh timing synchronization calculation amount, which leads to the accumulation of timing synchronization errors and the degradation of signal fidelity, thereby restricting the dynamic response of the picture and the color reproduction performance.

[0005] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: The high-resolution organic display driving waveform generation method provided by the present invention comprises: Receiving the distributed parameters of the original pixel matrix, and generating a block parasitic parameter mapping table and a pixel unit feature vector matrix including a parasitic effect coupling model through distributed parameter analysis; Based on the block parasitic parameter mapping table and the residual charge data monitored in real time, a segmented waveform parameter set including a curvature parameter index table is generated through dynamic grayscale segmentation control; Calling preset brightness and voltage response data according to the segmented waveform parameter set to perform nonlinear brightness correction, generating a driving waveform template and a compensation pulse parameter mapping table based on a light intensity feedback loop; Triggering the switching of driving strategies based on the classification results of dynamic features of displayed content, and generating patterned driving waveform data including phase synchronization parameters of a phase-locked loop; Performing timing offset prediction on the patterned driving waveform data in combination with a transmission line distribution model to generate driving waveform data with pre-compensation pulse marks; Performing differential coding compression and channel transmission optimization on the driving waveform data with pre-compensation pulse marks to generate a compressed data stream and a channel identifier; The compressed data stream is transmitted to the display control chip according to the channel identifier to perform waveform reorganization and signal output.

[0006] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the distributed parameter analysis includes: dividing the high-resolution pixel matrix into N×M spatial blocks, each block is assigned to an independent GPU computing node to extract parasitic parameters; Generate a multi-dimensional feature vector including position coding based on the parasitic parameters of the spatial blocks, and construct a parasitic effect coupling model across blocks; The parasitic effect coupling model is stored in a dynamic memory pool, and a block parasitic parameter mapping table and a pixel unit feature vector matrix are output.

[0007] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the dynamic grayscale segmentation control includes: generating negative pre-pulse sequence parameters in the charge reset period and writing them into the waveform register based on the parasitic parameters in the block parasitic parameter mapping table and the residual charge amount data monitored in real time; In the gradient establishment period, the variable slope algorithm library is called to generate a voltage rising edge waveform segment with a curvature parameter; In combination with the target grayscale value and the curvature parameter, a three-segment waveform original template is generated during the steady-state maintenance period.

[0008] Furthermore, in the high-resolution organic display driving waveform generation method described in the present invention, the nonlinear brightness correction includes: based on the curvature parameter index table in the segmented waveform parameter set, using a piecewise linear interpolation algorithm to map the target brightness value to the driving voltage amplitude to generate a reference voltage compensation template; According to the refresh rate status and the real-time monitoring data of the light intensity feedback loop, the compensation pulse group is dynamically injected and the pulse width parameter is adjusted.

[0009] Furthermore, in the high-resolution organic display driving waveform generation method of the present invention, the multi-mode driving strategy switching includes: Based on the display content dynamic feature classification result, a preset low-frequency maintenance waveform parameter library or a high-frequency pulse sequence parameter library is called; When switching modes, aligning the phase boundary between the new and old waveforms according to the phase synchronization parameters of the phase-locked loop; In dynamic picture mode, an auxiliary pulse is inserted into the vertical blanking period based on the auxiliary pulse time stamp parameter.

[0010] Furthermore, in the method for generating a high-resolution organic display driving waveform of the present invention, the intelligent timing compensation network performs the following operations: Based on the transmission line distribution model and the historical frame timing error records, generating timing offset prediction data through a lightweight prediction model; Pre-inserting a reverse phase pulse into the patterned drive waveform data according to the timing offset prediction data, the position of which is dynamically calculated based on the transmission line RC distribution parameters; A grayscale jump event is detected, and brightness sudden change overshoot is suppressed based on the correction pulse injection position parameter.

[0011] Furthermore, in the method for generating a high-resolution organic display driving waveform of the present invention, the data compression transmission optimization includes: extracting adjacent row parameter difference values ​​based on the driving waveform data with pre-compensation pulse marks, constructing a Huffman coding dictionary to perform differential compression; Allocating the compressed basic waveform parameters and dynamic compensation data to the independent physical channels for layered transmission; The waveform data is reorganized on the display control chip side based on the spatial coordinate mapping relationship, and the timing calibration parameters are injected.

[0012] Furthermore, the high-resolution organic display driving waveform generation method of the present invention further includes a feedback loop coordination step: collecting actual luminous intensity data through a photoelectric sensor and returning it to the nonlinear brightness correction module to generate amplitude closed-loop correction parameters; Feedback the current frame signal transmission delay to the intelligent timing compensation network to optimize the weight coefficient of the lightweight prediction model; The multi-mode strategy switching threshold is dynamically adjusted based on the energy efficiency ratio monitoring data.

[0013] Furthermore, in the method for generating a high-resolution organic display driving waveform of the present invention, the display control chip performs the following operations: receiving the compressed data stream and parsing the channel allocation identifier; Synchronously receiving the basic waveform parameters and the dynamic compensation data through a double buffer mechanism; The waveform data is reorganized based on the timing calibration parameters and the spatial coordinate mapping relationship, and a high-fidelity driving signal is output to the pixel array.

[0014] Furthermore, the high-resolution organic display driving waveform generation method of the present invention further includes a cross-module collaboration mechanism: exchanging the pixel unit feature vector and compensation coefficient in a dynamic memory pool through a standardized interface; Triggering a phase synchronization operation based on the timing synchronization flag signal to eliminate the timing fault during mode switching; The curvature parameters in the curvature parameter index table are inherited between the gradient establishment period and the steady-state maintenance period.

[0015] Beneficial effects of the present invention: The present invention reduces the computational complexity of high-dimensional pixel matrices through distributed parameter analysis and dynamic grayscale segmentation control, utilizes GPU nodes to extract block parasitic parameters in parallel and constructs a cross-block coupling model, effectively suppresses parasitic effect interference and improves grayscale compensation efficiency; dynamically adjusts the driving voltage amplitude and compensation pulse parameters based on a closed-loop control mechanism of a nonlinear brightness correction and light intensity feedback loop, and pre-inserts reverse phase pulses and correction pulse pairs in combination with an intelligent timing compensation network to eliminate timing offsets and brightness mutation overshoots in the transmission path, thereby enhancing signal fidelity; and optimizes the dynamic picture refresh smoothness while reducing the bus transmission load through adaptive switching of a multi-mode driving strategy and a hierarchical compression transmission protocol, thereby achieving coordinated optimization among grayscale accuracy, refresh rate and energy efficiency ratio of high-resolution organic displays. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.

[0017] Figure 1 The present invention provides a flowchart of a method for generating a high-resolution organic display driving waveform according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings. In order to better understand the purpose of the present invention, the present invention is further described in detail below.

[0019] See also Figure 1 The high-resolution organic display driving waveform generation method provided by the present invention comprises: Step S101, receiving the distribution parameters of the original pixel matrix, and generating a block parasitic parameter mapping table and a pixel unit feature vector matrix including a parasitic effect coupling model through distributed parameter analysis; Step S102, based on the block parasitic parameter mapping table and the residual charge data monitored in real time, generating a segmented waveform parameter set including a curvature parameter index table through dynamic grayscale segmentation control; Step S103, calling preset brightness and voltage response data according to the segmented waveform parameter set to perform nonlinear brightness correction, and generating a driving waveform template and a compensation pulse parameter mapping table based on a light intensity feedback loop; Step S104, triggering the switching of the driving strategy based on the classification result of the dynamic characteristics of the display content, and generating patterned driving waveform data including phase synchronization parameters of the phase-locked loop; Step S105, performing timing offset prediction on the patterned driving waveform data in combination with the transmission line distribution model to generate driving waveform data with pre-compensation pulse marks; Step S106, performing differential coding compression and channel transmission optimization on the driving waveform data with pre-compensation pulse marks to generate a compressed data stream and a channel identifier; Step S107 , transmitting the compressed data stream to the display control chip according to the channel identifier to perform waveform reorganization and signal output.

[0020] The high-resolution organic display driving waveform generation method first receives the distributed parameters of the original pixel matrix, and generates a block parasitic parameter mapping table and a pixel unit feature vector matrix containing a parasitic effect coupling model through distributed parameter analysis. During the distributed parameter analysis process, the high-resolution pixel matrix is ​​divided into N×M spatial blocks, each block is assigned to an independent GPU computing node, and the parasitic parameters of the pixel unit are extracted through the hardware abstraction layer. Based on the spatial position encoding, a multi-dimensional feature vector is generated, a cross-block parasitic effect coupling model is constructed, and the model is stored in a dynamic memory pool. Finally, a block parasitic parameter mapping table is output to provide a spatial distribution benchmark for subsequent steps.

[0021] Based on the block parasitic parameter mapping table and the residual charge data monitored in real time, a segmented waveform parameter set including a curvature parameter index table is generated through dynamic grayscale segmentation control. Dynamic grayscale segmentation control specifically includes three stages: charge reset period, gradient establishment period and steady-state maintenance period: in the charge reset period, negative pre-pulse sequence parameters are generated to eliminate residual charge; in the gradient establishment period, the variable slope algorithm library is called to generate a voltage rising edge waveform segment with curvature parameters to optimize the edge steepness; in the steady-state maintenance period, a three-segment waveform original template is generated in combination with the target grayscale value to balance the grayscale accuracy and refresh rate requirements.

[0022] According to the segmented waveform parameter set, the preset brightness and voltage response data are called to perform nonlinear brightness correction, and a driving waveform template and a compensation pulse parameter mapping table based on the light intensity feedback loop are generated. The nonlinear brightness correction maps the target brightness value to the driving voltage amplitude through a piecewise linear interpolation algorithm to generate a reference voltage compensation template. At the same time, the compensation pulse group is dynamically injected according to the refresh rate state, and the pulse width parameters are adjusted through the real-time light intensity data collected by the photoelectric sensor to form a closed-loop brightness control mechanism.

[0023] The drive strategy switching is triggered based on the dynamic feature classification results of the display content, and the patterned drive waveform data containing the phase synchronization parameters of the phase-locked loop is generated. The display content feature analysis module calls the low-frequency maintenance waveform parameter library or the high-frequency pulse sequence parameter library according to the dynamic characteristics classification results of the picture. When switching modes, the phase boundary of the new and old waveforms is aligned through the phase-locked loop control signal to avoid timing faults. In the dynamic picture mode, the auxiliary pulse timestamp parameters are inserted into the vertical blanking period to improve the smoothness of dynamic picture refresh.

[0024] Combined with the transmission line distribution model, the timing offset prediction is performed on the patterned driving waveform data to generate driving waveform data with pre-compensation pulse markers. The timing offset prediction builds a lightweight prediction model based on the historical frame timing error records and the transmission line RC distribution parameters, pre-inserts the reverse phase pulse into the waveform template, and dynamically compensates for the parasitic effects in the signal transmission path. At the same time, the grayscale jump event is detected, and the correction pulse pair is injected before and after the jump point to suppress the overshoot caused by the sudden change of brightness.

[0025] The drive waveform data with pre-compensation pulse marks is differentially encoded and compressed and optimized for channel transmission to generate compressed data streams and channel identifiers. The Huffman coding dictionary is constructed by extracting the difference values ​​of adjacent row drive parameters, and the basic waveform parameters are differentially compressed to reduce data redundancy. The compressed data is transmitted in layers according to low-frequency components and high-frequency dynamic compensation data, and allocated to independent physical channels to avoid bus congestion.

[0026] According to the channel identifier, the compressed data stream is transmitted to the display control chip for waveform reorganization and signal output. The display control chip receives the basic waveform parameters and dynamic compensation data synchronously through a double buffer mechanism, reorganizes the complete waveform data based on the spatial coordinate mapping relationship, and injects the timing calibration parameters. The resulting high-fidelity drive signal is output to the pixel array to achieve precise grayscale control and dynamic picture optimization for high-resolution display. Specifically, the high-resolution organic display driving waveform generation method of the present invention, the distributed parameter analysis includes: dividing the high-resolution pixel matrix into N×M spatial blocks, each block is assigned to an independent GPU computing node to extract parasitic parameters; Generate a multi-dimensional feature vector including position coding based on the parasitic parameters of the spatial blocks, and construct a parasitic effect coupling model across blocks; The parasitic effect coupling model is stored in a dynamic memory pool, and a block parasitic parameter mapping table and a pixel unit feature vector matrix are output.

[0027] Distributed parameter parsing first divides the high-resolution pixel matrix into N×M spatial blocks, and each block is assigned to an independent GPU computing node for parasitic parameter extraction. The spatial block division is based on the physical layout characteristics of the pixel array, and the boundary coordinates of each block are determined by rasterized coordinate mapping. After each GPU computing node loads the pixel distribution parameters of the corresponding block, it calls the hardware abstraction layer interface to access the parasitic capacitance and resistance parameters of the pixel unit to generate an initial parasitic parameter data set. Each node performs parameter extraction operations in parallel to reduce the overall processing delay of the high-resolution pixel matrix.

[0028] When generating a multidimensional feature vector containing position coding based on the parasitic parameters of the spatial blocks, each GPU node normalizes the extracted parasitic parameters and generates the spatial position coding in combination with the row and column coordinate information of the block in the pixel matrix. The normalized parasitic parameters and the position coding are tensor-joined to form a feature vector that characterizes the relationship between the electrical characteristics and spatial position of a single block. The feature vectors of all blocks are transmitted to the central processing unit through cross-node communication, and a graph convolutional neural network is used to construct a cross-block parasitic effect coupling model. The model quantifies the mutual interference intensity of parasitic parameters between blocks by analyzing the association weights between feature vectors of adjacent blocks.

[0029] The constructed parasitic effect coupling model is stored in the dynamic memory pool. The memory pool uses a double buffer mechanism to manage the model data. The front-end buffer receives the real-time updated coupling model data, and the back-end buffer provides a static block parasitic parameter mapping table to the subsequent processing module. During the storage process, the model data is remapped to the spatial coordinates, and the cross-block coupling relationship is converted into the equivalent parasitic parameter correction value of the pixel unit within the block. The mapping table containing the corrected parasitic parameters and the pixel unit feature vector matrix are output to provide spatial distribution benchmark data for dynamic grayscale control. Specifically, the high-resolution organic display driving waveform generation method of the present invention, the dynamic grayscale segmentation control includes: based on the parasitic parameters in the block parasitic parameter mapping table and the residual charge amount data monitored in real time, generating negative pre-pulse sequence parameters in the charge reset period and writing them into the waveform register; In the gradient establishment period, the variable slope algorithm library is called to generate a voltage rising edge waveform segment with a curvature parameter; In combination with the target grayscale value and the curvature parameter, a three-segment waveform original template is generated during the steady-state maintenance period.

[0030] Dynamic grayscale segmentation control is based on the parasitic parameters in the block parasitic parameter mapping table and the residual charge data monitored in real time. The negative pre-pulse sequence parameters are generated during the charge reset period and written into the waveform register. During the charge reset period, the amplitude and pulse width combination parameters of the negative pre-pulse are determined by reading the residual charge monitoring data. The amplitude parameter is dynamically adjusted according to the equivalent capacitance value of the pixel unit in the block, and the pulse width parameter is calculated based on the charge release time constant. The generated negative pre-pulse sequence parameters are written to the waveform register in batches through the bus interface, covering the potential drift formed by the residual charge of the previous frame, and providing a charge reset reference for the gradient establishment period.

[0031] When the variable slope algorithm library is called to generate a voltage rising edge waveform segment with curvature parameters during the gradient establishment period, the voltage slope curve that matches the response characteristics of the current pixel material is matched from the algorithm library based on the parasitic resistance parameters in the block parasitic parameter mapping table. The nonlinear change rate of the voltage rising edge is adjusted by the curvature parameter, and the curvature parameter is dynamically corrected according to the parasitic effect coupling strength of the adjacent blocks, so that the voltage gradient change matches the nonlinear impedance characteristics of the organic light-emitting material, and the edge oscillation phenomenon in the gradient establishment stage is suppressed.

[0032] In the process of generating the three-segment waveform original template by combining the target grayscale value and the curvature parameter, the voltage rising edge waveform segment of the gradient establishment period is spliced ​​with the steady-state maintenance voltage in the time domain based on the driving voltage reference corresponding to the target grayscale value during the steady-state maintenance period. The curvature parameter is used to smoothly transition the voltage connection segment between the gradient establishment period and the steady-state maintenance period, and generate a three-segment waveform template including a negative pulse during the reset period, a gradient rising edge, and a steady-state platform. The template parameters are spatially associated through the curvature parameter index table, providing a segmented control reference for subsequent nonlinear brightness correction. Specifically, the high-resolution organic display driving waveform generation method of the present invention, the nonlinear brightness correction includes: based on the curvature parameter index table in the segmented waveform parameter set, using a piecewise linear interpolation algorithm to map the target brightness value to the driving voltage amplitude, and generate a reference voltage compensation template; According to the refresh rate status and the real-time monitoring data of the light intensity feedback loop, the compensation pulse group is dynamically injected and the pulse width parameter is adjusted.

[0033] Nonlinear brightness correction is based on the curvature parameter index table in the segmented waveform parameter set. The target brightness value is mapped to the driving voltage amplitude using a piecewise linear interpolation algorithm to generate a reference voltage compensation template. The curvature parameter index table is associated with the nonlinear characteristics of the rising edge of the voltage gradient. By indexing the curvature parameter value of the current pixel block, a linear interpolation operation is performed within the segmented interval of the brightness and voltage response curve. During the interpolation process, the compensation coefficient is dynamically adjusted according to the change in the voltage slope of the adjacent brightness interval, and a reference template containing the voltage amplitude compensation amount is generated to eliminate the grayscale deviation caused by the nonlinear response of the organic material.

[0034] When the compensation pulse group is dynamically injected according to the refresh rate status and the real-time monitoring data of the light intensity feedback loop, a densely distributed narrow pulse width compensation pulse sequence is generated based on the pulse density modulation algorithm in the high-frequency refresh mode, and a wide pulse width pulse group is used to cover the long time domain interval in the low-frequency mode. The light intensity feedback loop collects the actual luminous intensity data through the photoelectric sensor integrated at the edge of the pixel array, calculates the difference between the target brightness and the measured brightness, and generates a pulse width adjustment coefficient. This coefficient is written into the pulse generator control register through the bus interface, and the duty cycle parameter of the compensation pulse is corrected in real time to form a closed-loop brightness control mechanism. Specifically, in the high-resolution organic display driving waveform generation method of the present invention, the multi-mode driving strategy switching includes: Based on the display content dynamic feature classification result, a preset low-frequency maintenance waveform parameter library or a high-frequency pulse sequence parameter library is called; When switching modes, aligning the phase boundary between the new and old waveforms according to the phase synchronization parameters of the phase-locked loop; In dynamic picture mode, an auxiliary pulse is inserted into the vertical blanking period based on the auxiliary pulse time stamp parameter.

[0035] The multi-mode driving strategy switching calls the preset low-frequency maintenance waveform parameter library or high-frequency pulse sequence parameter library based on the dynamic feature classification results of the display content. The display content feature classification module identifies the characteristics of static and dynamic images by analyzing the grayscale change rate of the pixel matrix of consecutive frames, and triggers the high-frequency pulse sequence parameter call instruction when the grayscale change rate exceeds the preset threshold. The low-frequency maintenance waveform parameter library stores low-power maintenance voltage parameters suitable for static images, and the high-frequency pulse sequence parameter library contains the short-pulse width high-density pulse group required for dynamic image refresh. The parameter call is loaded from the non-volatile memory to the waveform register group through the bus protocol.

[0036] When switching modes, the phase boundary of the new and old waveforms is aligned according to the phase synchronization parameters of the phase-locked loop, which are generated by the clock management module and include the deviation between the current waveform phase angle and the target phase angle. After the mode switching instruction is triggered, the phase synchronization controller reads the deviation and generates a phase compensation voltage, driving the voltage-controlled oscillator to adjust the frequency of the output clock signal, so that the new and old waveforms complete the phase alignment within the vertical blanking period, eliminating the timing fault phenomenon caused by mode switching.

[0037] In dynamic picture mode, an auxiliary pulse is inserted into the vertical blanking period based on the auxiliary pulse timestamp parameter. The timestamp parameter is dynamically generated according to the brightness compensation amount of the previous frame and the target grayscale value of the current frame. The vertical blanking period detection module identifies the inactive period of the display scanning cycle. The auxiliary pulse generator inserts a compensation pulse of preset amplitude at the beginning of the blanking period according to the timestamp parameter. The pulse width is adjusted according to the real-time monitoring data of the light intensity feedback loop to compensate for the charge injection delay when the dynamic picture is refreshed, and improve the consistency of dynamic response. Specifically, in the high-resolution organic display driving waveform generation method of the present invention, the intelligent timing compensation network performs the following operations: Based on the transmission line distribution model and the historical frame timing error records, generating timing offset prediction data through a lightweight prediction model; Pre-inserting a reverse phase pulse into the patterned drive waveform data according to the timing offset prediction data, the position of which is dynamically calculated based on the transmission line RC distribution parameters; A grayscale jump event is detected, and brightness sudden change overshoot is suppressed based on the correction pulse injection position parameter.

[0038] The intelligent timing compensation network generates timing offset prediction data through a lightweight prediction model based on the transmission line distribution model and historical frame timing error records. The transmission line distribution model integrates the parasitic resistance and capacitance parameters of each signal path of the display panel to construct a transmission delay feature matrix. The historical frame timing error record uses a sliding window algorithm to extract the statistical characteristics of the timing offset of the past N frames. The lightweight prediction model uses a pruned neural network architecture. After inputting the delay feature matrix and statistical characteristics, it outputs the predicted value of the timing offset of each pixel block in the next refresh cycle to form a timing offset prediction data set.

[0039] When the reverse phase pulse is pre-inserted into the patterned driving waveform data according to the timing offset prediction data, the pulse insertion position is dynamically calculated based on the transmission line RC distribution parameters. The transmission line RC distribution parameters include the equivalent resistance value and coupling capacitance value of the signal path, and the propagation delay constant of each path is calculated by the resistance and capacitance product. The insertion position of the reverse phase pulse is determined according to the product of the delay constant and the timing offset prediction value. The pulse amplitude is linearly adjusted with the predicted offset, and the reverse compensation pulse is injected at the forward position of the rising edge or falling edge of the waveform template to offset the timing deviation caused by the parasitic effect of the transmission path.

[0040] In the process of detecting grayscale jump events and suppressing brightness mutation overshoot based on the correction pulse pair injection position parameters, the grayscale jump detection module identifies the mutation area by comparing the differential amplitude of the grayscale values ​​of adjacent frame pixels. The correction pulse pair consists of a positive pre-emphasis pulse and a negative damping pulse. The positive pulse is injected at the start position of the grayscale jump to accelerate the voltage climb, and the negative pulse is injected at the end position of the jump to suppress overshoot oscillation. The width parameter of the pulse pair is dynamically adjusted according to the jump amplitude gradient, forming an overshoot suppression mechanism that is adaptive to the brightness change rate. Specifically, the high-resolution organic display driving waveform generation method of the present invention, the data compression transmission optimization includes: extracting adjacent row parameter difference values ​​based on the driving waveform data with pre-compensation pulse marks, constructing a Huffman coding dictionary to perform differential compression; Allocating the compressed basic waveform parameters and dynamic compensation data to the independent physical channels for layered transmission; The waveform data is reorganized on the display control chip side based on the spatial coordinate mapping relationship, and the timing calibration parameters are injected.

[0041] Data compression transmission optimization extracts the difference values ​​of adjacent row parameters based on the drive waveform data with pre-compensation pulse marks, and constructs a Huffman coding dictionary to perform differential compression. The difference values ​​of adjacent row parameters are generated by comparing the voltage amplitude, pulse width and curvature parameters of the drive waveform parameters row by row. The difference value calculation module identifies the valid data segment according to the pre-compensation pulse mark and eliminates interference from the compensation pulse area. The Huffman coding dictionary is dynamically generated based on the statistical distribution characteristics of the difference value, and short codewords are assigned to high-frequency difference values ​​and long codewords are assigned to low-frequency difference values. Entropy coding is used to reduce data redundancy and generate a compressed differential coding data stream.

[0042] When the compressed basic waveform parameters and dynamic compensation data are assigned to independent physical channels for hierarchical transmission, the basic waveform parameters include low-frequency maintenance voltage and steady-state platform parameters, which are assigned to high-priority physical channels for real-time transmission. The dynamic compensation data includes pre-compensation pulse parameters and correction pulse pair information, which are assigned to low-latency physical channels for transmission. The channel allocation identifier is embedded in the data packet header to identify the data type and transmission priority of different channels. The bus arbiter coordinates the data transmission timing between channels to avoid bus congestion.

[0043] When the display control chip reorganizes the waveform data based on the spatial coordinate mapping relationship, the decoding module separates the basic waveform parameters and the dynamic compensation data according to the channel identifier, and restores the differential encoding data to the complete driving waveform parameters through the spatial coordinate mapping table. During the reorganization process, the timing calibration parameters are injected, and the parameters include the reverse phase pulse position and the correction pulse pair width information. The calibration parameters are aligned with the reorganized waveform data in the time domain through the timing controller to generate a high-fidelity driving signal that matches the pixel spatial coordinates and output to the organic light-emitting pixel array to perform grayscale control.

[0044] Specifically, the high-resolution organic display driving waveform generation method of the present invention further includes a feedback loop coordination step: collecting actual luminous intensity data through a photoelectric sensor and returning it to the nonlinear brightness correction module to generate amplitude closed-loop correction parameters; Feedback the current frame signal transmission delay to the intelligent timing compensation network to optimize the weight coefficient of the lightweight prediction model; The multi-mode strategy switching threshold is dynamically adjusted based on the energy efficiency ratio monitoring data.

[0045] The feedback loop coordination step collects the actual luminous intensity data through the photoelectric sensor and returns it to the nonlinear brightness correction module to generate the amplitude closed-loop correction parameters. The photoelectric sensor is integrated in the edge area of ​​the pixel array. After collecting the actual luminous intensity data of each block, it is transmitted to the correction module through the SPI bus. The amplitude closed-loop correction parameters are generated based on the difference between the target brightness value and the measured brightness. The compensation amount of the driving voltage amplitude is calculated through the proportional integral algorithm, and the amplitude parameters of the reference voltage compensation template are updated to form a closed-loop adjustment mechanism for brightness control.

[0046] When the current frame signal transmission delay is fed back to the intelligent timing compensation network to optimize the weight coefficient of the lightweight prediction model, the timing monitoring unit measures the actual delay of the signal transmission path through the time-to-digital converter and compares it with the predicted offset to generate an error matrix. The error matrix updates the convolution kernel weight parameters of the lightweight prediction model through the back-propagation algorithm, and uses the sliding window algorithm to retain the error data of nearly M frames as the training set to achieve online adaptive optimization of the prediction model and improve the accuracy of timing offset prediction.

[0047] In the process of dynamically adjusting the multi-mode strategy switching threshold based on the energy efficiency ratio monitoring data, the power consumption monitoring module collects the current consumption data and refresh rate parameters of each driving mode, and calculates the power efficiency ratio under the unit refresh rate. The energy efficiency ratio data is mapped to the strategy switching threshold correction coefficient through the lookup table, and the switching trigger conditions between the high-frequency mode and the low-frequency mode are dynamically adjusted. When the energy efficiency ratio is lower than the preset threshold, the high-frequency mode trigger threshold value is increased, and the duration of the low-frequency maintenance waveform is extended to achieve dynamic balance optimization of display quality and power consumption.

[0048] Specifically, in the method for generating a high-resolution organic display driving waveform of the present invention, the display control chip performs the following operations: receiving the compressed data stream and parsing the channel allocation identifier; Synchronously receiving the basic waveform parameters and the dynamic compensation data through a double buffer mechanism; The waveform data is reorganized based on the timing calibration parameters and the spatial coordinate mapping relationship, and a high-fidelity driving signal is output to the pixel array.

[0049] When the display control chip receives the compressed data stream and parses the channel allocation identifier, it captures the compressed data packet through the high-speed serial interface. The identifier is embedded in the control field of the data packet header. The parsing module separates the basic waveform parameters and dynamic compensation data according to the channel coding information in the identifier. The basic waveform parameters include low-frequency holding voltage and steady-state platform parameters, and the dynamic compensation data includes pre-compensation pulse position and correction pulse pair width information. The two types of data are routed to different cache areas through the data distribution unit.

[0050] When the basic waveform parameters and dynamic compensation data are received synchronously through the double buffer mechanism, the front buffer receives the compressed data of the current frame and performs the Huffman decoding operation, and the back buffer transmits the decoded data of the previous frame to the reassembly module. The buffer switching is triggered by the vertical synchronization signal, and the data movement operation is completed during the blanking period. The basic waveform parameters are written to the first buffer block, and the dynamic compensation data is written to the second buffer block. The independent addressing space of the double buffer avoids data access conflicts and maintains high throughput data transmission.

[0051] When the waveform data is reorganized based on the timing calibration parameters and the spatial coordinate mapping relationship, the spatial coordinate mapping table stores the correspondence between the row and column addresses of the pixel matrix and the physical drive channel. The reorganization module reorders the decoded waveform parameters according to the spatial coordinates based on the mapping table. The timing calibration parameters include the insertion position of the reverse phase pulse and the timing offset of the correction pulse pair. The calibration parameters are phase-aligned with the reorganized waveform data through the timing controller. The high-fidelity drive signal generated is adjusted by the level conversion circuit and output to the drive electrode of the organic light-emitting pixel array to achieve precise control of the voltage amplitude and timing characteristics.

[0052] Specifically, the high-resolution organic display driving waveform generation method of the present invention further includes a cross-module collaboration mechanism: exchanging the pixel unit feature vector and compensation coefficient in a dynamic memory pool through a standardized interface; Triggering a phase synchronization operation based on the timing synchronization flag signal to eliminate the timing fault during mode switching; The curvature parameters in the curvature parameter index table are inherited between the gradient establishment period and the steady-state maintenance period.

[0053] When the cross-module collaboration mechanism exchanges pixel unit feature vectors and compensation coefficients in the dynamic memory pool through a standardized interface, the standardized interface defines the data format and transmission protocol. The feature vector contains the parasitic parameters and spatial encoding information of the pixel unit, and the compensation coefficient stores the brightness correction and timing compensation parameters. The dynamic memory pool adopts a double buffer management mechanism. The front-end buffer receives the feature vector data from the distributed parameter parsing module, and the back-end buffer provides the compensation coefficient to the nonlinear brightness correction module. The interface controller performs read and write operations according to the data tag to achieve efficient data flow between modules.

[0054] When the phase synchronization operation is triggered based on the timing synchronization flag signal, the flag signal is generated by the multi-mode drive strategy switching module after the mode switching instruction is issued. The phase synchronization operation calls the frequency fine-tuning function of the phase-locked loop controller, reads the deviation value between the current waveform phase angle and the target phase angle, adjusts the clock signal frequency through the voltage-controlled oscillator, completes the phase alignment of the new and old waveforms during the vertical blanking period, eliminates the timing fault phenomenon caused by the drive mode switching, and maintains the time continuity of the refresh cycle.

[0055] When the curvature parameters in the curvature parameter index table are inherited between the gradient establishment period and the steady-state maintenance period, after the voltage rising edge waveform segment of the gradient establishment period is generated, the curvature parameter value of the current pixel block is queried from the curvature parameter index table. The curvature parameter is obtained through the parameter inheritance interface during the steady-state maintenance period, and is applied to the slope calculation of the transition section of the steady-state voltage platform to smoothly connect the voltage change curves of the gradient establishment period and the maintenance period. The parameter inheritance process is based on the spatial coordinate mapping relationship to ensure the continuity of the curvature parameters between adjacent blocks and suppress edge oscillations caused by voltage jumps.

[0056] The specific implementation of the present invention realizes the optimized generation of high-resolution organic display driving waveforms through a layered data processing architecture. First, the original pixel matrix distribution parameters are received, and the pixel array is divided into N×M spatial blocks by distributed parameter analysis. Each block is assigned to an independent GPU node to extract parasitic capacitance and resistance parameters. A multi-dimensional feature vector containing spatial position encoding is generated through the hardware abstraction layer, and a cross-block parasitic effect coupling model is constructed and stored in a dynamic memory pool. The block parasitic parameter mapping table is output to solve the computing power bottleneck of the traditional serial architecture for processing high-dimensional data. Based on the residual charge data monitored in real time, negative pre-pulse sequence parameters with amplitude adjusted with equivalent capacitance are generated during the charge reset period, and written into the waveform register to eliminate charge residue; during the gradient establishment period, the variable slope algorithm library is called to generate a voltage rising edge segment with curvature parameters. The curvature parameters are dynamically corrected according to the coupling strength of adjacent blocks to suppress edge oscillation; during the steady-state maintenance period, a three-segment waveform template is generated in combination with the target grayscale value, and spatial coordinate association is realized through the curvature parameter index table to balance the grayscale accuracy and refresh rate requirements. When calling the preset brightness-voltage response data to perform nonlinear brightness correction, linear interpolation operations are performed in the segmented interval based on the curvature parameter index table to generate a reference voltage compensation template and dynamically inject a compensation pulse group. The pulse width is adjusted in real time through the measured brightness difference of the light intensity feedback loop to form a closed-loop brightness control mechanism. The display content feature analysis module triggers the switching of the driving strategy according to the grayscale change rate of continuous frames. The static picture calls the low-frequency maintenance waveform parameter library to reduce power consumption, and the dynamic picture loads the high-frequency pulse sequence parameter library. When switching modes, the phase synchronization parameters of the phase-locked loop are used to align the phase boundaries of the new and old waveforms, and the auxiliary pulses controlled by the timestamp parameters are inserted in the vertical blanking period to eliminate the timing fault. The intelligent timing compensation network integrates the RC distribution parameters of the transmission line and the historical frame error records, generates timing offset data through a lightweight prediction model, and pre-inserts the reverse phase pulses with dynamically calculated positions in the waveform to suppress the parasitic effects of the transmission path; the grayscale jump detection module injects the correction pulse pair after identifying the mutation area, and the positive pulse accelerates the voltage climb, and the negative pulse suppresses overshoot oscillation. In the compression transmission stage, the difference values ​​of adjacent row parameters are extracted to construct a Huffman coding dictionary. The basic waveform parameters and dynamic compensation data are compressed in layers and transmitted in channels. The display control chip parses the data according to the channel identifier, receives synchronously through the double buffer mechanism, and reorganizes the waveform based on the spatial coordinate mapping table. After injecting the timing calibration parameters, a high-fidelity driving signal is output. In the feedback loop, the photoelectric sensor collects actual light intensity data to optimize the brightness correction parameters, the timing error data is used to train the prediction model weights, and the energy efficiency ratio is monitored to dynamically adjust the mode switching threshold to achieve the coordinated optimization of display quality and power consumption.

[0057] The technical features of the patent of this invention are explained as follows: Distributed parameter parsing; Technical features: The high-resolution pixel matrix is ​​divided into N×M spatial blocks, and each block is assigned to an independent GPU computing node to extract parasitic parameters.

[0058] Explanation: The computational complexity of high-dimensional data is reduced through spatial partitioning, and the parallel computing capability of GPU is used to accelerate the extraction of parasitic parameters (such as parasitic capacitance and resistance). A multi-dimensional feature vector containing position encoding is generated, and a parasitic effect coupling model across blocks is constructed. The electrical interference relationship between blocks is quantified, providing a spatial distribution benchmark for dynamic grayscale control.

[0059] Dynamic grayscale segmentation control; Technical features: The negative pre-pulse sequence parameters are generated during the charge reset period, the variable slope algorithm library is called during the gradient establishment period to generate the curvature voltage waveform, and the three-segment waveform template is generated during the steady-state maintenance period.

[0060] explain: Charge reset period: residual charge is eliminated through a negative pre-pulse, the amplitude is dynamically adjusted based on the pixel equivalent capacitance, and the pulse width is calculated by the charge release time constant.

[0061] Gradient establishment period: A variable slope algorithm library is used to generate a voltage rising edge with curvature parameters. The curvature parameters are dynamically modified according to the parasitic coupling strength of adjacent blocks to suppress edge oscillation.

[0062] Steady-state maintenance period: Generate a three-segment waveform original template (reset pulse, gradient rising edge, steady-state platform) based on the target grayscale value to balance the refresh rate and grayscale accuracy.

[0063] Non-linear brightness correction; Technical features: Piecewise linear interpolation is performed based on the curvature parameter index table, and compensation pulse groups are dynamically injected.

[0064] explain: Piecewise linear interpolation: Maps the target brightness value to the driving voltage amplitude within the segmented interval of the brightness-voltage response curve to compensate for the nonlinear response of organic materials.

[0065] Light intensity feedback loop: The actual light intensity data is collected through the photoelectric sensor, and the compensation pulse width parameters are adjusted in real time to form a closed-loop brightness control.

[0066] Multi-mode driving strategy switching; Technical features: calling low-frequency / high-frequency waveform parameter library, phase-locked loop phase synchronization, and inserting auxiliary pulses during vertical blanking period.

[0067] explain: Low-frequency sustain waveform parameter library: low-power sustain voltage parameters suitable for static images.

[0068] High-frequency pulse sequence parameter library: high-density short-width pulse groups required for dynamic image refresh.

[0069] Phase-locked loop phase synchronization: Align the phase boundary of the old and new waveforms by adjusting the clock frequency to eliminate the timing gap during mode switching.

[0070] Auxiliary pulse timestamp: insert compensation pulses during the vertical blanking period to improve the smoothness of dynamic image refresh.

[0071] Intelligent timing compensation network; Technical features: Lightweight prediction model generates timing offset data, pre-inserts reverse phase pulses, and corrects pulse pairs to suppress overshoot.

[0072] explain: Lightweight prediction model: predicts timing offset based on transmission line RC distribution parameters and historical frame error data.

[0073] Reverse Phase Pulse: A compensation pulse with dynamically calculated position pre-inserted into the waveform to offset the parasitic effects of the transmission path.

[0074] Correction pulse pair: consists of a positive pre-emphasis pulse (to accelerate voltage climb) and a negative damping pulse (to suppress overshoot), with adaptive brightness jump gradient.

[0075] Data compression and transmission optimization; Technical features: Huffman differential coding, layered transmission protocol, channel identifier.

[0076] explain: Huffman coding dictionary: dynamically generated based on the statistical distribution of parameter difference values ​​of adjacent rows to reduce data redundancy.

[0077] Layered transmission: Allocate low-frequency basic waveform parameters and high-frequency dynamic compensation data to independent physical channels to avoid bus congestion.

[0078] Channel identifier: Embedded in the data packet header to identify the data type and transmission priority, supporting the display control chip to efficiently reorganize the waveform.

[0079] Feedback loop collaboration; Technical features: light intensity closed-loop correction, timing error feedback, energy efficiency ratio threshold adjustment.

[0080] explain: Light intensity closed-loop correction: Dynamically update the drive voltage amplitude parameters through the brightness data measured by the photoelectric sensor.

[0081] Timing error feedback: Use the actual transmission delay to optimize the prediction model weights and improve the timing compensation accuracy.

[0082] Energy efficiency ratio monitoring: Dynamically adjust the mode switching threshold according to the power consumption per unit refresh rate to balance display quality and power consumption.

[0083] Cross-module collaboration mechanism; Technical features: standardized interface for exchanging data, timing synchronization mark triggering phase alignment, and curvature parameter inheritance.

[0084] explain: Standardized interface: defines data format and transmission protocol to achieve efficient transfer of feature vectors and compensation coefficients between modules.

[0085] Timing synchronization flag: triggers the phase-locked loop frequency fine-tuning to eliminate the timing fault caused by mode switching.

[0086] Curvature parameter inheritance: The curvature parameters are transferred during the gradient establishment period and the steady-state maintenance period to smooth the slope of the voltage transition section.

[0087] The present invention solves the complexity problem of synchronous operation of nonlinear parameters and refresh timing of high-dimensional pixel matrix by constructing a hierarchical data processing architecture and adopting distributed parameter analysis and dynamic grayscale segmentation control technology. Specifically, the high-resolution pixel matrix is ​​divided into N×M spatial blocks, and parasitic parameters are extracted in parallel through independent GPU nodes and a cross-block coupling model is generated to reduce the operation dimension of the traditional serial architecture. Based on the block parasitic parameter mapping table and the real-time monitored residual charge data, negative pre-pulses, curvature voltage waveforms and three-segment templates are generated in stages. The global parameter calculation amount is reduced through spatial block processing to avoid the mutually exclusive effect of grayscale compensation accuracy and refresh rate.

[0088] The accumulation of timing synchronization errors is eliminated through the coordinated optimization of nonlinear brightness correction and intelligent timing compensation network. The reference voltage compensation template is dynamically generated based on the brightness and voltage response curve, and the compensation pulse parameters are adjusted in real time in combination with the light intensity feedback loop to form a closed-loop brightness control mechanism. At the same time, the intelligent timing compensation network pre-inserts reverse phase pulses and injects correction pulse pairs based on the transmission line distribution model and historical frame timing errors, dynamically compensates for the parasitic effects of the transmission path, and suppresses brightness mutation overshoot. The multi-mode driving strategy adaptively switches the waveform parameter library according to the display content characteristics, and eliminates the timing fault during mode switching through phase-locked loop phase synchronization, thereby improving signal fidelity and dynamic picture smoothness.

[0089] The difference coding compression and channel transmission mechanism are used to optimize data throughput efficiency and balance the refresh rate and signal integrity under high resolution. The Huffman coding dictionary is constructed by extracting the difference values ​​of adjacent row parameters, compressing the basic waveform parameters and dynamic compensation data, and reducing the bus transmission load. The layered transmission protocol allocates low-frequency components and high-frequency compensation data to independent physical channels to avoid bus congestion. The display control chip reorganizes the waveform data based on the spatial coordinate mapping relationship, and generates a high-fidelity drive signal in combination with the timing calibration parameters, ultimately achieving the coordinated optimization of grayscale accuracy, refresh rate and energy efficiency ratio.

Claims

1. A method for generating a high-resolution organic display driving waveform, characterized in that: include: Receiving the distributed parameters of the original pixel matrix, and generating a block parasitic parameter mapping table and a pixel unit feature vector matrix including a parasitic effect coupling model through distributed parameter analysis; Based on the block parasitic parameter mapping table and the residual charge data monitored in real time, a segmented waveform parameter set including a curvature parameter index table is generated through dynamic grayscale segmentation control; Calling preset brightness and voltage response data according to the segmented waveform parameter set to perform nonlinear brightness correction, generating a driving waveform template and a compensation pulse parameter mapping table based on a light intensity feedback loop; Triggering the switching of driving strategies based on the classification results of dynamic features of displayed content, and generating patterned driving waveform data including phase synchronization parameters of a phase-locked loop; Performing timing offset prediction on the patterned driving waveform data in combination with a transmission line distribution model to generate driving waveform data with pre-compensation pulse marks; Performing differential coding compression and channel transmission optimization on the driving waveform data with pre-compensation pulse marks to generate a compressed data stream and a channel identifier; The compressed data stream is transmitted to the display control chip according to the channel identifier to perform waveform reorganization and signal output.

2. The high-resolution organic display driving waveform generation method according to claim 1, characterized in that: The distributed parameter analysis includes: dividing the high-resolution pixel matrix into N×M spatial blocks, each block is assigned to an independent GPU computing node to extract parasitic parameters; Generate a multi-dimensional feature vector including position coding based on the parasitic parameters of the spatial blocks, and construct a parasitic effect coupling model across blocks; The parasitic effect coupling model is stored in a dynamic memory pool, and a block parasitic parameter mapping table and a pixel unit feature vector matrix are output.

3. The high-resolution organic display driving waveform generation method according to claim 2, characterized in that: The dynamic grayscale segmentation control includes: generating negative pre-pulse sequence parameters in the charge reset period and writing them into a waveform register based on the parasitic parameters in the block parasitic parameter mapping table and the residual charge amount data monitored in real time; In the gradient establishment period, the variable slope algorithm library is called to generate a voltage rising edge waveform segment with a curvature parameter; In combination with the target grayscale value and the curvature parameter, a three-segment waveform original template is generated during the steady-state maintenance period.

4. The high-resolution organic display driving waveform generation method according to claim 3, characterized in that: The nonlinear brightness correction includes: based on the curvature parameter index table in the segmented waveform parameter set, using a piecewise linear interpolation algorithm to map the target brightness value to the driving voltage amplitude, and generating a reference voltage compensation template; According to the refresh rate status and the real-time monitoring data of the light intensity feedback loop, the compensation pulse group is dynamically injected and the pulse width parameter is adjusted.

5. The high-resolution organic display driving waveform generation method according to claim 4, characterized in that: The multi-mode driving strategy switching includes: Based on the display content dynamic feature classification result, a preset low-frequency maintenance waveform parameter library or a high-frequency pulse sequence parameter library is called; When switching modes, aligning the phase boundary between the new and old waveforms according to the phase synchronization parameters of the phase-locked loop; In dynamic picture mode, an auxiliary pulse is inserted into the vertical blanking period based on the auxiliary pulse time stamp parameter.

6. The high-resolution organic display driving waveform generation method according to claim 5, characterized in that: The intelligent timing compensation network performs the following operations: Based on the transmission line distribution model and the historical frame timing error records, generating timing offset prediction data through a lightweight prediction model; Pre-inserting a reverse phase pulse into the patterned drive waveform data according to the timing offset prediction data, the position of which is dynamically calculated based on the transmission line RC distribution parameters; A grayscale jump event is detected, and brightness sudden change overshoot is suppressed based on the correction pulse injection position parameter.

7. The method for generating a high-resolution organic display driving waveform according to claim 6, characterized in that: The data compression transmission optimization includes: extracting adjacent row parameter difference values ​​based on the driving waveform data with pre-compensation pulse marks, constructing a Huffman coding dictionary to perform differential compression; Allocating the compressed basic waveform parameters and dynamic compensation data to the independent physical channels for layered transmission; The waveform data is reorganized on the display control chip side based on the spatial coordinate mapping relationship, and the timing calibration parameters are injected.

8. The high-resolution organic display driving waveform generation method according to claim 1, characterized in that: It also includes a feedback loop coordination step: collecting actual luminous intensity data through a photoelectric sensor and returning it to the nonlinear brightness correction module to generate amplitude closed-loop correction parameters; Feedback the current frame signal transmission delay to the intelligent timing compensation network to optimize the weight coefficient of the lightweight prediction model; The multi-mode strategy switching threshold is dynamically adjusted based on the energy efficiency ratio monitoring data.

9. The method for generating a high-resolution organic display driving waveform according to claim 8, characterized in that: The display control chip performs the following operations: receiving the compressed data stream and parsing the channel allocation identifier; Synchronously receiving the basic waveform parameters and the dynamic compensation data through a double buffer mechanism; The waveform data is reorganized based on the timing calibration parameters and the spatial coordinate mapping relationship, and a high-fidelity driving signal is output to the pixel array.

10. The method for generating a high-resolution organic display driving waveform according to claim 9, characterized in that: It also includes a cross-module collaboration mechanism: exchanging the pixel unit feature vector and compensation coefficient in a dynamic memory pool through a standardized interface; Triggering a phase synchronization operation based on the timing synchronization flag signal to eliminate the timing fault during mode switching; The curvature parameters in the curvature parameter index table are inherited between the gradient establishment period and the steady-state maintenance period.

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