An analysis system for AMOLED automatic lighting

Abstract

This invention belongs to the field of AMOLED display technology and discloses an analysis system for automatic AMOLED lighting. The system includes an ambient light temperature acquisition module, a pixel drive voltage drop detection module, a frame timing analysis module, a coupling feature calculation module, and an AMOLED drive execution module. Each module is electrically connected and enables data interaction. The coupling feature calculation module calls preset reference parameters and sequentially performs calculations of light-temperature coupling feature coefficients, timing-linked calculations of drive voltage drop correction coefficients, and generation of pixel internal resistance-weighted lighting thresholds, outputting the AMOLED adaptive automatic lighting threshold to the AMOLED drive execution module. This invention solves the problems of lighting threshold drift and lighting failure caused by single-parameter control in existing technologies, achieving precise control of AMOLED automatic lighting and improving lighting stability.

Description

Technical Field

[0001] This invention belongs to the field of AMOLED display technology, and specifically relates to an analysis system for automatic AMOLED lighting. Background Technology

[0002] Current AMOLED automatic illumination technologies generally employ a single-parameter control mode, triggering panel illumination solely based on ambient light intensity or a fixed voltage threshold. This fails to consider the combined effects of ambient light-temperature coupling, pixel drive voltage drop fluctuations, and frame refresh timing variations on the illumination threshold. This single-parameter control method has inherent flaws. In low-temperature, low-light environments, the illumination threshold is prone to drift, and abnormal pixel drive voltage drops can lead to illumination failure. Consequently, it cannot achieve adaptive and precise illumination of the AMOLED panel, severely impacting the user experience.

[0003] Based on the above problems, there is an urgent need for a technical solution that can solve the problem of lighting stability. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and propose an analysis system for automatic AMOLED illumination. This system includes an ambient light and temperature acquisition module, a pixel drive voltage drop detection module, a frame timing analysis module, a coupling feature calculation module, and an AMOLED drive execution module. The ambient light and temperature acquisition module is electrically connected to the coupling feature calculation module, and is used to acquire real-time ambient light intensity and real-time ambient temperature. The pixel drive voltage drop detection module is also electrically connected to the coupling feature calculation module, and is used to acquire real-time pixel drive voltage drop. The frame timing analysis module is also electrically connected to the coupling feature calculation module, and is used to analyze the display frame refresh rate. The AMOLED drive execution module is also electrically connected to the coupling feature calculation module. The feature calculation module is electrically connected. The AMOLED drive execution module is used to generate drive control signals and transmit them to the AMOLED panel. The coupling feature calculation module is used to call the reference ambient light intensity, reference ambient temperature, temperature normalization coefficient, reference pixel drive voltage drop, reference frame refresh rate, panel reference lighting voltage, and reference pixel internal resistance, and sequentially perform the calculation of light-temperature coupling feature coefficient, the timing linkage calculation of drive voltage drop correction coefficient, and the generation of pixel internal resistance weighted lighting threshold. The light-temperature coupling feature coefficient is the basis for the calculation of drive voltage drop correction coefficient, and the drive voltage drop correction coefficient is the basis for the calculation of pixel internal resistance weighted lighting threshold. The coupling feature calculation module is used to output the AMOLED adaptive automatic lighting threshold to the AMOLED drive execution module.

[0005] Preferably, the photothermal coupling characteristic coefficient calculation performed by the coupling characteristic calculation module adopts a specific calculation formula. The real-time ambient illuminance, reference ambient illuminance, real-time ambient temperature, reference ambient temperature and temperature normalization coefficient are all input parameters of the calculation formula, and the photothermal coupling characteristic coefficient is the output parameter of the calculation formula. All parameters in the calculation formula adopt SI units.

[0006] In a further preferred embodiment, the timing-linked calculation of the driving voltage drop correction coefficient performed by the coupling feature calculation module is based on the calculation result of the optical-temperature coupling feature coefficient, combined with the real-time pixel driving voltage drop, the reference pixel driving voltage drop, the display frame refresh frequency and the reference frame refresh frequency to obtain the driving voltage drop correction coefficient, and all parameters involved in the calculation adopt SI units.

[0007] In a further preferred embodiment, the pixel internal resistance weighted lighting threshold generation performed by the coupling feature calculation module is based on the calculation result of the driving voltage drop correction coefficient, combined with the panel reference lighting voltage, the equivalent internal resistance of the pixel array and the reference pixel internal resistance to obtain the AMOLED adaptive automatic lighting threshold, and all parameters involved in the calculation are in SI units.

[0008] In a further preferred embodiment, the coupling feature calculation module performs the calculations in the following order: first, it calculates the optical-temperature coupling feature coefficient; then, based on the calculation result of the optical-temperature coupling feature coefficient, it performs the timing linkage calculation of the driving voltage drop correction coefficient; and finally, based on the calculation result of the driving voltage drop correction coefficient, it generates the pixel internal resistance weighted illumination threshold. After each step of the calculation is completed, data verification is performed. Only after the verification is passed can the next step of the calculation be performed. The criterion for data verification is that the deviation value of the calculation result does not exceed the preset deviation threshold.

[0009] More preferably, the ambient light and temperature acquisition module includes a photoelectric conversion unit and a temperature sensing unit. The photoelectric conversion unit is electrically connected to the coupling feature calculation module. The photoelectric conversion unit is used to acquire real-time ambient light illuminance and convert it into an analog signal. The temperature sensing unit is electrically connected to the coupling feature calculation module. The temperature sensing unit is used to acquire real-time ambient temperature and convert it into an analog signal. The ambient light and temperature acquisition module is also used to convert the analog signal into a digital signal, and the digital signal is transmitted to the coupling feature calculation module for calculating the light-temperature coupling feature coefficient.

[0010] More preferably, the pixel driving voltage drop detection module is electrically connected to the AMOLED pixel array driving end. The pixel driving voltage drop detection module is used to collect the real-time operating voltage and real-time operating current of the AMOLED pixel array driving end. The pixel driving voltage drop detection module is used to calculate the real-time pixel driving voltage drop based on the real-time operating voltage and the real-time operating current using the voltage-current difference method. The calculated real-time pixel driving voltage drop is transmitted to the coupling feature calculation module for timing linkage calculation of the driving voltage drop correction coefficient.

[0011] More preferably, the frame timing parsing module is electrically connected to the AMOLED display frame cache unit. The AMOLED display frame cache unit is used to store the frame data of the AMOLED display panel. The frame timing parsing module is used to parse the frame data and extract the display frame refresh frequency from the frame data to generate timing reference data. The timing reference data is transmitted to the coupling feature calculation module to assist in the timing synchronization of the timing linkage calculation of the driving voltage drop correction coefficient.

[0012] In a further preferred embodiment, the coupling feature calculation module includes a parameter storage unit and a computational processing unit. The parameter storage unit is electrically connected to the computational processing unit. The parameter storage unit is used to store the reference ambient light intensity, reference ambient temperature, temperature normalization coefficient, reference pixel drive voltage drop, reference frame refresh rate, panel reference illumination voltage, and reference pixel internal resistance. The computational processing unit is electrically connected to the ambient light and temperature acquisition module, the pixel drive voltage drop detection module, the frame timing parsing module, and the AMOLED drive execution module. The computational processing unit is used to receive data transmitted from each module, perform light and temperature coupling feature coefficient calculation, drive voltage drop correction coefficient timing linkage calculation, and pixel internal resistance weighted illumination threshold generation. The computational processing unit is also used to transmit the calculated AMOLED adaptive automatic illumination threshold to the AMOLED drive execution module.

[0013] More preferably, the AMOLED driving execution module is electrically connected to the AMOLED panel driving circuit. The AMOLED panel driving circuit is used to receive driving control signals and drive the AMOLED panel to complete the automatic lighting action. The AMOLED driving execution module is used to receive the AMOLED adaptive automatic lighting threshold output by the coupling feature calculation module. The AMOLED driving execution module is used to generate a driving control signal adapted to the AMOLED panel driving circuit based on the AMOLED adaptive automatic lighting threshold, and the driving control signal is transmitted to the AMOLED panel driving circuit.

[0014] Technical effects: The inventive technical point of this invention lies in the progressive calculation logic that integrates multiple dimensions of parameters, including ambient light temperature, pixel drive voltage drop, and frame refresh timing, by using a time-linked calculation of the light-temperature coupling characteristic coefficient, the driving voltage drop correction coefficient, and the pixel internal resistance weighted lighting threshold. This technical point precisely solves the problems of lighting threshold drift and lighting failure caused by single-parameter control in existing AMOLED automatic lighting technologies, enabling AMOLED panels to achieve adaptive and precise lighting, ensuring lighting stability, and improving the user experience. Attached Figure Description

[0015] Fig. 1 This is a schematic diagram of the hardware architecture of the AMOLED adaptive automatic lighting threshold control system of the present invention; Fig. 2 This is a schematic diagram of the working timing of the AMOLED adaptive automatic lighting threshold control system of the present invention; Fig. 3 This is a flowchart of the AMOLED adaptive automatic lighting threshold three-level coupling calculation method of the present invention. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0017] Existing AMOLED automatic turn-on control methods rely solely on a single environmental parameter or a fixed voltage threshold to trigger the turn-on operation. They fail to incorporate the coupling effect of ambient light and temperature, the voltage drop fluctuations in the pixel drive circuit, and the dynamic changes in the display frame refresh timing into a unified control logic system. This type of control does not consider the nonlinear effects of environmental parameters on the light-emitting device, the attenuation effect of circuit voltage drop on the drive signal, or the effect of timing rhythm on pixel workload. The turn-on threshold will continuously shift with the continuous changes in the external environment and internal working state. The shift is irregular and cannot be actively corrected, resulting in delayed turn-on response, abnormal brightness, turn-on failure, or repeated flickering. This cannot meet the stable turn-on requirements of AMOLED panels under various operating conditions, including alternating indoor and outdoor environments, high and low temperature changes, different refresh rates, and long-term internal resistance attenuation, seriously affecting the user experience and operational reliability of the display panel.

[0018] Based on this, please refer to Figs. 1-3This embodiment provides an analysis system for automatic AMOLED illumination. The system includes an ambient light and temperature acquisition module, a pixel drive voltage drop detection module, a frame timing analysis module, a coupling feature calculation module, and an AMOLED drive execution module. The ambient light and temperature acquisition module is electrically connected to the coupling feature calculation module. The ambient light and temperature acquisition module is responsible for acquiring real-time ambient light intensity and real-time ambient temperature. The acquisition process covers the environmental parameter range of the entire working scenario of the AMOLED panel, and the acquisition frequency matches the real-time requirements of automatic panel illumination. The pixel drive voltage drop detection module is electrically connected to the coupling feature calculation module. The pixel drive voltage drop detection module is responsible for acquiring real-time pixel drive voltage drop. The acquisition position is directly located at the power supply input pin of the pixel array driver, eliminating voltage drop interference from intermediate circuits. The frame timing analysis module is electrically connected to the coupling feature calculation module. The frame timing analysis module is responsible for analyzing the display frame refresh rate. The analysis process directly reads the original timing data of the display frame cache, eliminating errors caused by secondary data processing. The AMOLED drive execution module is electrically connected to the coupling feature calculation module. The calculation module establishes an electrical connection. The AMOLED drive execution module generates the drive control signal and transmits it to the AMOLED panel. The parameters of the drive control signal perfectly match the input requirements of the panel drive circuit, with no level mismatch or timing misalignment issues. The coupling feature calculation module calls the reference ambient light intensity, reference ambient temperature, temperature normalization coefficient, reference pixel drive voltage drop, reference frame refresh rate, panel reference illumination voltage, and reference pixel internal resistance. All reference parameters are standard parameters calibrated at the panel factory, without deviations caused by manual adjustment. The coupling feature calculation module sequentially performs the calculation of the light-temperature coupling feature coefficient, the timing linkage calculation of the drive voltage drop correction coefficient, and the generation of the pixel internal resistance weighted illumination threshold. The light-temperature coupling feature coefficient serves as the basis for calculating the drive voltage drop correction coefficient, and the drive voltage drop correction coefficient serves as the basis for calculating the pixel internal resistance weighted illumination threshold. The three-level calculation forms a progressive operation logic with no parameter conflicts and no logical confusion. The coupling feature calculation module outputs the AMOLED adaptive automatic illumination threshold to the AMOLED drive execution module. The output method is synchronous data transmission, with no delay and no packet loss.

[0019] It is worth mentioning that the system constructs a complete automatic lighting control closed loop through the collaborative cooperation of multiple modules and the progressive calculation of multi-dimensional parameters. All technical features work together to form a complete technical solution. The ambient light temperature acquisition module, the pixel drive voltage drop detection module, and the frame timing parsing module acquire corresponding parameters according to a fixed synchronous clock and transmit them to the coupling feature calculation module in real time. There is no time difference or data loss in the acquisition and transmission process. The coupling feature calculation module completes three-level coupling calculations according to a fixed progressive logic. The calculation process relies on the hardware computing unit to execute in real time, meeting the panel's millisecond-level response requirements. The AMOLED drive execution module generates a matching drive signal based on the calculation results, directly triggering the panel to complete the lighting action. Those skilled in the art can complete the hardware construction, parameter burning, and program debugging of the system based on the technical solution, and achieve adaptive automatic lighting control of the AMOLED panel under all working conditions without creative labor.

[0020] The achieved technical effect is to construct a complete automatic lighting control closed loop through multi-module collaboration and multi-parameter progressive coupling calculation, which solves the problems of lighting threshold deviation, response abnormality and lighting failure caused by single parameter control, and ensures the lighting stability and reliability of AMOLED panels under different environments, different circuit states and different timing rhythms.

[0021] The existing technology has the following technical problems: the existing ambient light and temperature acquisition module has a single function and can only complete the acquisition of basic parameters. It does not have signal filtering, constant temperature compensation, analog-to-digital conversion and anti-interference transmission structure. The data acquisition process is easily affected by stray light, device heating and electromagnetic interference. The data transmission process is prone to attenuation and distortion. The acquisition accuracy cannot meet the needs of coupled calculation and cannot provide accurate and reliable raw data for subsequent calculations.

[0022] Based on this, the ambient light and temperature acquisition module includes a photoelectric conversion unit and a temperature sensing unit. The photoelectric conversion unit is electrically connected to the coupling feature calculation module. The photoelectric conversion unit acquires real-time ambient light illuminance and converts the real-time ambient light illuminance into an analog signal. The temperature sensing unit is electrically connected to the coupling feature calculation module. The temperature sensing unit acquires real-time ambient temperature and converts the real-time ambient temperature into an analog signal. The ambient light and temperature acquisition module converts the analog signal into a digital signal. The digital signal is transmitted to the coupling feature calculation module and applied to the calculation of the light-temperature coupling feature coefficient. It is worth mentioning that the photoelectric conversion unit uses a high-precision photosensitive detection device to convert light signals into electrical signals. The detection range of the photosensitive detection device covers the range of 0.1 lux to 100,000 lux, which fully covers the ambient light intensity range of the AMOLED panel in the conventional use scenarios from dark indoors to bright outdoors. The detection process has a built-in stray light filtering structure to filter out detection interference caused by specular reflection light and background stray light in the environment, ensuring that the collected real-time ambient light intensity is completely consistent with the actual ambient light radiation intensity. The linearity error of the photoelectric conversion is lower than a fixed value, and the output analog signal has a strict linear correspondence with the illuminance. The temperature sensing unit employs a high-precision thermistor to convert temperature signals into electrical signals. The thermistor's detection range covers -40°C to 85°C, matching the full operating temperature range of the AMOLED panel. Its detection accuracy can capture minute temperature fluctuations of 0.1°C. The temperature sensing unit incorporates a constant-temperature reference compensation structure to eliminate temperature detection deviations caused by its own heat generation, ensuring that the acquired real-time ambient temperature accurately reflects the thermodynamic state of the panel's surrounding environment, without numerical offsets caused by device self-heating. The conversion of analog signals to digital signals is accomplished by a high-precision analog-to-digital converter (ADC). This ADC uses a fixed-bit conversion accuracy, with the conversion rate matching the acquisition frequency, ensuring the linearity and stability of the signal conversion and preventing attenuation, distortion, or external electromagnetic interference during analog signal transmission. The converted digital signal is transmitted to the coupling characteristic calculation module via a shielded dedicated data transmission line. The transmission process is interference-free and packet-free, providing reliable raw data for subsequent calculations of the light-temperature coupling characteristic coefficients, eliminating subsequent calculation deviations caused by data acquisition errors from the outset.

[0023] The achieved technical effects include improving the entire process of acquisition, filtering, compensation, conversion and transmission of the ambient light and temperature acquisition module, enhancing data acquisition accuracy and transmission reliability, providing high-quality raw data for the calculation of light-temperature coupling characteristic coefficients, and eliminating calculation errors caused by the acquisition process.

[0024] The existing technology has technical problems. Most of the current pixel drive voltage drop acquisition methods are indirect acquisition, with the acquisition position far away from the pixel drive end. The calculation logic is ambiguous and cannot eliminate the voltage drop interference from current limiting devices, conversion devices, and line impedance in the power supply circuit. The acquired voltage drop data cannot truly reflect the actual working state of the pixel drive circuit, resulting in systematic deviations in subsequent correction calculations.

[0025] Based on this, the pixel driving voltage drop detection module establishes an electrical connection with the AMOLED pixel array driving end. The pixel driving voltage drop detection module collects the real-time operating voltage and real-time operating current of the AMOLED pixel array driving end. Based on the real-time operating voltage and real-time operating current, the pixel driving voltage drop detection module calculates the real-time pixel driving voltage drop using the voltage-current difference method. The calculated real-time pixel driving voltage drop is transmitted to the coupling feature calculation module and applied to the timing linkage calculation of the driving voltage drop correction coefficient.

[0026] It is worth mentioning that the pixel drive voltage drop detection module is directly connected to the power supply circuit of the AMOLED pixel array driver. The acquisition probe is directly attached to the power supply input pin of the pixel array driver, bypassing intermediate adapters, line impedance, and current limiting resistors, and directly acquiring voltage and current data in the circuit. This avoids numerical deviations caused by indirect acquisition and can completely capture the true electrical parameters of the driver circuit under actual working conditions. The pixel drive voltage drop detection module integrates independent voltage sampling units and current sampling units. The voltage sampling unit uses differential sampling and is directly connected in parallel to the power supply pin of the pixel array driver. The common-mode rejection ratio is higher than a fixed value, which can effectively filter out ripple interference in the power supply circuit. The current sampling unit uses a high-precision sampling resistor connected in series inside the power supply circuit. The resistance accuracy of the sampling resistor is higher than a fixed standard. The sampling process does not change the original electrical characteristics of the driver circuit, ensuring the authenticity and accuracy of the sampled data. The voltage-current difference method relies on Kirchhoff's circuit laws to calculate voltage drop. It obtains an accurate real-time pixel drive voltage drop by subtracting the product of the real-time operating current and the equivalent internal resistance of the pixel array from the real-time operating voltage. This calculation method actively eliminates voltage drop interference from current-limiting devices, adapters, and line impedance in the power supply circuit, retaining only the true voltage drop value at the pixel array drive end. This ensures that the acquired real-time pixel drive voltage drop accurately reflects the operating state of the pixel drive circuit, unaffected by other circuit components. The acquired and calculated voltage drop data is transmitted in real-time to the coupling characteristic calculation module via a synchronous transmission channel. The transmission delay is lower than a fixed value, providing accurate and effective data support for the correction calculation of the drive voltage drop. This allows subsequent correction calculations to perfectly match the actual operating state of the pixel drive, without calculation deviations caused by circuit interference.

[0027] The achieved technical effect is to improve the accuracy of pixel drive voltage drop acquisition and calculation, eliminate voltage drop interference from irrelevant circuit devices, realize direct and accurate acquisition of drive voltage drop, and provide real and effective data support for the calculation of drive voltage drop correction coefficient.

[0028] The existing technology has technical problems. The existing frame timing analysis module cannot accurately extract the display frame refresh frequency. It obtains timing data through external detection methods. The generated timing data cannot be synchronized with the driver voltage drop correction calculation in real time. The timing deviation will directly affect the accuracy of the calculation results, resulting in a misalignment between the driver correction and the panel's working rhythm.

[0029] Based on this, the frame timing parsing module establishes an electrical connection with the AMOLED display frame cache unit. The AMOLED display frame cache unit stores the frame data of the AMOLED display panel. The frame timing parsing module parses the frame data, extracts the display frame refresh frequency from the frame data, and generates timing reference data. The timing reference data is transmitted to the coupling feature calculation module, and the timing reference data assists in the timing synchronization of the voltage drop correction coefficient timing linkage calculation.

[0030] It is worth mentioning that the AMOLED display frame cache unit is a dedicated storage device built into the panel. The stored frame data contains complete refresh timing information of the display panel, covering all timing elements such as frame start identifier, frame end identifier, frame interval duration, row scan timing, and column drive timing. The frame data is stored in a fixed format defined by the panel manufacturer, without data compression or information loss, ensuring the integrity and parsability of the timing information. The frame timing parsing module extracts the refresh frequency parameters from the frame data using a dedicated timing decoding algorithm. This algorithm accurately identifies the timing identifier field in the frame data, splits the frame data structure according to a fixed decoding logic, and parses the timing information bit by bit, without omitting any key timing information. This avoids frequency extraction errors caused by external electromagnetic interference or data transmission errors. The decoding process is executed by hardware decoding circuitry, and the parsing speed matches the panel frame refresh rate. The generated timing reference data includes refresh frequency values, frame synchronization clock signals, and timing calibration pulses. The timing reference data is completely consistent with the actual refresh rhythm of the display panel, and the phase deviation of the clock signal is lower than a fixed value. This ensures that the calculation process of the drive voltage drop correction coefficient runs synchronously with the refresh rhythm of the display frame, eliminating the influence of timing deviation on the calculation results. It also allows the drive voltage drop correction calculation to dynamically adjust according to the working timing of the display panel, ensuring the consistency and accuracy of the entire calculation logic and keeping the calculation results highly matched with the actual working state of the panel.

[0031] The achieved technical effects include the direct and accurate extraction of display frame refresh frequency and the stable generation of timing reference data, real-time timing synchronization of drive voltage drop correction calculation, elimination of calculation errors caused by timing deviation, and ensuring that the calculation logic is fully matched with the panel's working rhythm.

[0032] The existing technology has the following technical problems: the existing coupling feature calculation module has an ambiguous structure; the reference parameter storage uses volatile devices, which cause the parameters to be lost after power failure; the operation unit is inefficient; it cannot achieve smooth operation of multi-parameter progressive calculation; it is prone to calculation lag, data disorder and parameter calling errors; and it cannot meet the requirements of real-time control.

[0033] Based on this, the coupling feature calculation module includes a parameter storage unit and a computation processing unit. The parameter storage unit is electrically connected to the computation processing unit. The parameter storage unit stores reference ambient light intensity, reference ambient temperature, temperature normalization coefficient, reference pixel drive voltage drop, reference frame refresh rate, panel reference illumination voltage, and reference pixel internal resistance. The computation processing unit is electrically connected to the ambient light and temperature acquisition module, the pixel drive voltage drop detection module, the frame timing parsing module, and the AMOLED drive execution module. The computation processing unit receives data transmitted from each module and performs calculations of light and temperature coupling feature coefficients, timing-linked calculations of drive voltage drop correction coefficients, and generation of pixel internal resistance weighted illumination thresholds. The computation processing unit transmits the calculated AMOLED adaptive automatic illumination threshold to the AMOLED drive execution module.

[0034] It is worth mentioning that the parameter storage unit uses non-volatile flash memory devices to ensure the long-term stability of the reference parameters. The reference parameters will not be lost or corrupted due to system power outages, restarts, or resets. All reference parameters are stored in fixed memory address partitions, with each parameter corresponding to an independent physical memory address. The address encoding rules are fixed, facilitating rapid retrieval by the processing unit without complex address searches, significantly improving parameter retrieval efficiency. The number of erase / write cycles of the storage unit meets long-term usage requirements, and the parameter storage accuracy remains unchanged. The processing unit uses a 32-bit embedded computing chip. The computing speed and cache capacity of the chip match the real-time control requirements of the system, enabling multi-parameter coupled calculations to be completed within microseconds, meeting the millisecond-level real-time requirements of AMOLED automatic lighting. The computing chip has built-in multi-level data caches and computing pipelines, which can simultaneously store previous calculation results, real-time acquired data, and reference parameters, providing uninterrupted data support for progressive calculations without data waiting or computational lag. The parameter storage unit and the arithmetic processing unit are connected via a high-speed serial data bus. The data transmission rate meets the requirements of real-time calculation. The data transmission verification mechanism ensures that parameter calls are error-free, guarantees the stable call of benchmark parameters and the efficient execution of the calculation process, and avoids the impact of parameter call delays, calculation lags or data errors on system operating efficiency, thereby greatly improving the overall system's operational reliability and response speed.

[0035] The achieved technical effects clarify the internal hardware structure of the coupled feature calculation module, ensure the long-term stability of the benchmark parameter storage and the high efficiency of the operation and processing, support the smooth and lag-free execution of the three-level progressive coupled calculation, and meet the real-time control requirements of the system.

[0036] The existing technology has technical problems. The existing multi-parameter calculation does not have a fixed execution order and data verification process. The calculation logic is chaotic and disordered. Erroneous data will be passed on and amplified at each level, resulting in serious deviations in the final lighting threshold and making it impossible to achieve stable lighting control.

[0037] Based on this, the coupling feature calculation module performs the calculation in the following order: calculate the optical-temperature coupling feature coefficient, perform the timing linkage calculation of the driving voltage drop correction coefficient based on the calculation result of the optical-temperature coupling feature coefficient, and perform the generation of the pixel internal resistance weighted lighting threshold based on the calculation result of the driving voltage drop correction coefficient. After each step of the calculation is completed, data verification is performed. The next step of the calculation is performed only after the verification is passed. The judgment criterion for data verification is that the deviation value of the calculation result does not exceed the preset deviation threshold. It is worth mentioning that the calculation order strictly follows the inherent physical logic of multi-parameter coupling effects. The optical-temperature coupling characteristic coefficient reflects the comprehensive influence of the external environment and is the basic correction factor for all subsequent calculations. It must be calculated first. The accuracy of the parameter directly determines the accuracy of the driving voltage drop correction and threshold generation. It is the core foundation of the entire calculation process. The driving voltage drop correction coefficient is obtained by combining the optical-temperature coupling characteristics, timing parameters, and voltage drop parameters. The parameter takes into account the environmental influence and circuit working state. It is the intermediate core link connecting the basic calculation and the final threshold generation. It must be executed after the optical-temperature coupling characteristic coefficient calculation is completed. The pixel internal resistance weighted lighting threshold generation combines all correction factors and internal resistance parameters to obtain the final control threshold. It is the final output of the entire calculation process and must be executed after the first two levels of calculation are completed. The data verification process is automatically executed by the built-in verification algorithm of the computing unit. The calculation results are filtered through a preset fixed deviation threshold. The preset deviation threshold is calibrated according to the physical characteristics of AMOLED devices and actual working requirements. The value is fixed and has no fluctuation range. Abnormal calculation data that exceeds the normal physical fluctuation range is directly rejected. Only valid data that conforms to the laws of circuit and optical physics is retained for subsequent calculations. This avoids the amplification of erroneous data at each level, which could lead to serious deviations in the final threshold. The verification process is executed synchronously with the calculation process without additional time delay, ensuring the accuracy and reliability of the entire calculation process. This ensures that the calculation results of each step can provide effective support for subsequent steps.

[0038] The technical effects achieved include standardizing the fixed execution order of multi-parameter coupled calculations, automatically eliminating abnormal calculation data through data verification, ensuring the accuracy and reliability of the calculation process, and avoiding final threshold deviations caused by erroneous data transmission.

[0039] The existing technology has the following technical problems: the calculation of the optical-temperature coupling characteristic coefficient lacks a unified quantification logic, does not take into account the coupling influence of light and temperature on AMOLED devices, the calculation of a single parameter cannot reflect the comprehensive environmental effect, the inconsistent parameter dimensions are prone to calculation conflicts, and the calculation results have no practical physical meaning.

[0040] Based on this, the optical-temperature coupling characteristic coefficient calculation performed by the coupling characteristic calculation module adopts a dedicated quantization calculation formula, which is as follows: ; in, The photothermal coupling characteristic coefficient is a core correction parameter that characterizes the combined effect of ambient light and temperature. The real-time ambient light intensity is acquired in real time by the photoelectric conversion unit of the ambient light and temperature acquisition module; The baseline ambient illuminance is the calibrated illumination parameter under standard operating conditions for AMOLED panels. The real-time ambient temperature is acquired in real time by the temperature sensing unit of the ambient light and temperature acquisition module; The reference ambient temperature is the standard operating temperature parameter specified by the manufacturer for AMOLED panels. This is the temperature normalization coefficient, a calibration adjustment parameter adapted to the temperature response characteristics of different AMOLED panels.

[0041] The real-time ambient illuminance, the reference ambient illuminance, the real-time ambient temperature, the reference ambient temperature, and the temperature normalization coefficient are all input parameters of the calculation formula, and the light-temperature coupling characteristic coefficient is the output parameter of the calculation formula. All parameters in the calculation formula are in SI units. It is worth noting that the design of the calculation formula relies on the theory of the coupled influence of environmental physical parameters on the characteristics of AMOLED light-emitting devices. Changes in ambient illuminance and ambient temperature jointly alter the carrier mobility, luminous efficiency, and lighting trigger conditions of AMOLED pixels. Independent calculation of a single parameter cannot fully reflect the true comprehensive environmental influence. Therefore, the environmental parameters are coupled and quantified by multiplying the ratio term of the illuminance parameter with the exponential function term of the temperature parameter, perfectly aligning with the physical characteristics of semiconductor light-emitting devices. The ratio of the real-time ambient illuminance to the reference ambient illuminance is used to quantify the deviation of the current ambient illuminance from the reference illuminance. The dimensions of both the real-time ambient illuminance and the reference ambient illuminance are [not specified in the original text]. The unit is lux. This parameter reflects the luminous radiation intensity per unit area. After ratio calculation to eliminate dimensional influence, a dimensionless illumination influence factor is obtained. This factor directly reflects the linear influence of illumination conditions on illumination control. The higher the illumination intensity, the smaller the corresponding illumination influence factor value, and the higher the sensitivity of illumination triggering, perfectly matching the physical characteristics of low-threshold illumination under strong light for AMOLED panels. The difference between the real-time ambient temperature and the reference ambient temperature reflects the change in current ambient temperature relative to the reference temperature. The temperature normalization coefficient is used to convert the temperature difference into a dimensionless normalized value, eliminating calculation deviations under different temperature ranges. The dimensions of the real-time ambient temperature, the reference ambient temperature, and the temperature normalization coefficient are all dimensionless. The unit is Kelvin. The normalized value is used as the input term of the exponential function. The exponential function can accurately fit the nonlinear influence of temperature on the electrical characteristics and luminous efficiency of AMOLED devices. The effect of temperature change on the impedance, carrier mobility, and luminous efficiency of semiconductor devices is not a nonlinear relationship. The form of the exponential function can fully represent this nonlinear change characteristic, covering the influence law of the entire temperature range from low temperature to high temperature. The further the temperature deviates from the reference value, the more significant the change in the value of the exponential term, and the more obvious the correction effect on the coupling coefficient. The light-temperature coupling characteristic coefficient is obtained by multiplying the illumination influence factor and the temperature influence factor. The light-temperature coupling characteristic coefficient is a dimensionless parameter with dimensions of 1. The parameters comprehensively reflect the coupling strength of ambient light and temperature, integrating the dual influences of the environment into a single correction factor, providing a unified environmental correction basis for subsequent driving voltage drop correction calculations. The logical derivation of the calculation formula relies on the fundamental physical laws of electricity and optics. Illuminance has a strictly linear correlation with the triggering condition for AMOLED illumination; the stronger the illumination, the lower the illumination threshold. Therefore, a ratio is used to quantify the influence of illumination. Temperature has a non-linear exponential correlation with the impedance and carrier mobility of AMOLED pixel devices; temperature changes trigger exponential changes in device characteristics. Therefore, an exponential function is used to quantify the influence of temperature. The combination of these two influence forms fully covers all dimensions of the influence of environmental parameters on illumination control. All parameters are dimensionally consistent, without conflict or ambiguity during the calculation process. Those skilled in the art can calculate the light-temperature coupling characteristic coefficient based on the calculation formula and parameter definitions, combined with the collected environmental data, achieving accurate coupling quantification of environmental parameters without creative effort.

[0042] The formula for calculating the photothermal coupling characteristic coefficient relies on the environmental response characteristics of AMOLED organic light-emitting materials to build its computational logic. Its core function is to transform the dual changes in ambient light and ambient temperature into a unified correction parameter, eliminating control deviations caused by detecting a single environmental parameter. The ratio of real-time ambient illuminance to baseline ambient illuminance in the formula eliminates the interference of absolute light intensity values, retaining only the relative change in current ambient light compared to standard operating conditions. Regardless of whether the ambient light is in an extremely low or extremely high brightness range, a stable light influence weight can be obtained through normalization. This part of the calculation is executed immediately by the computational processing unit of the coupling characteristic calculation module after receiving real-time data from the photoelectric conversion unit, and the calculation frequency is completely synchronized with the sampling frequency of the ambient light and temperature acquisition module. The exponential temperature calculation part of the formula is specifically designed to address the non-linear temperature response characteristics of AMOLED organic light-emitting layers. The carrier transport efficiency and luminescence threshold of organic light-emitting materials do not change linearly with temperature. Temperature fluctuations in the low-temperature range have a negligible impact on illumination characteristics, while even small temperature changes in the high-temperature range can cause significant shifts in the illumination threshold. The exponential calculation form accurately matches this physical characteristic. The temperature normalization coefficient uses a proprietary value calibrated before the panel leaves the factory. Different materials and sizes of AMOLED panels can be matched with corresponding coefficients, ensuring the formula is compatible with all panel products. The calculation result does not directly participate in illumination control but is embedded as a core basic correction factor in the subsequent drive voltage drop correction process. The calculation process is executed using a hardware floating-point unit, with no data truncation and no precision loss, fully preserving all characteristic information of the ambient light-temperature coupling effect. This fundamentally solves the technical deficiency that individual environmental parameter detection cannot reflect the comprehensive impact.

[0043] The achieved technical effect is that the light and temperature parameters are accurately calculated through a unified coupling quantization formula. The parameter dimensions are consistent and conflict-free, and the calculation results truly reflect the comprehensive environmental impact state, providing a reliable environmental correction factor for subsequent calculations.

[0044] The existing technology has the following technical problems: the existing driver voltage drop correction only considers the voltage drop fluctuation itself, without combining the optical-temperature coupling effect and frame timing changes. The correction dimension is single and cannot eliminate the non-operating voltage drop deviation caused by the environment and timing. The correction result cannot match the actual circuit state.

[0045] Based on this, the timing-linked calculation of the driving voltage drop correction coefficient performed by the coupling feature calculation module is based on the calculation result of the optical-temperature coupling feature coefficient, combined with the real-time pixel driving voltage drop, the reference pixel driving voltage drop, the display frame refresh rate, and the reference frame refresh rate to calculate the driving voltage drop correction coefficient. All parameters involved in the calculation are in SI units, and the corresponding calculation formula is as follows: ; in, The driving voltage drop correction factor is a driving voltage drop correction parameter that integrates circuit, environment, and timing factors. The real-time pixel-driven voltage drop is acquired and calculated in real time by the pixel-driven voltage drop detection module. The reference pixel driving voltage drop is the standard calibration voltage drop parameter for the AMOLED pixel array driver. These are the optical-temperature coupling characteristic coefficients obtained from previous calculations, used to correct for environmental coupling effects. The frame refresh rate is obtained by the frame timing parsing module from the display frame data. The reference frame refresh rate is the calibrated refresh rate parameter in the standard display mode of an AMOLED panel.

[0046] It is worth mentioning that the design of the calculation formula relies on the electrical characteristics of the AMOLED pixel driving circuit and the display timing operation rules. The fluctuation of pixel driving voltage drop is not only affected by its own circuit impedance and power supply parameters, but also by the combined effects of ambient light and temperature coupling and display frame refresh timing. A single voltage drop ratio calculation cannot achieve accurate voltage drop correction. Therefore, the ratio of light and temperature coupling characteristic coefficient and frame refresh frequency is introduced to achieve coordinated correction of circuit, environment, and timing factors, which fully conforms to the actual working mechanism of the driving circuit. The ratio of the real-time pixel driving voltage drop to the reference pixel driving voltage drop is used to quantify the actual fluctuation state of the driving circuit voltage drop. The dimensions of the real-time pixel driving voltage drop and the reference pixel driving voltage drop are both... The unit is volts. This parameter reflects the degree to which the actual voltage drop of the drive circuit deviates from the voltage drop under the reference operating condition. After the ratio calculation eliminates the dimensionless influence, a dimensionless voltage drop fluctuation factor is obtained. This factor directly reflects the working state deviation of the drive circuit itself. The greater the voltage drop deviates from the reference value, the greater the deviation of the fluctuation factor from the standard value, and the greater the required correction. The light-temperature coupling characteristic coefficient, as a correction factor for environmental coupling effects, is directly integrated into the voltage drop correction calculation process. Changes in ambient light and temperature will alter the electrical impedance characteristics of the pixel driving devices, leading to non-operating offsets in the drive voltage drop. This coefficient can accurately offset the calculation errors caused by such environmental factors, ensuring that the voltage drop calculation only retains the circuit's own operating fluctuations, unaffected by external environmental changes. The ratio of the display frame refresh rate to the reference frame refresh rate is used to quantify the changing state of the display timing rhythm. The units of both the display frame refresh rate and the reference frame refresh rate are volts. The unit is Hertz. Changes in the display frame refresh rate alter the power-on duration, current output duty cycle, and workload of the pixel driver, thus affecting the stability of the drive voltage drop. Higher refresh rates result in a greater pixel driver load and more pronounced voltage drop fluctuations. The ratio yields a dimensionless timing influence factor, used to correct voltage drop deviations caused by timing changes. This allows the voltage drop correction calculation to dynamically adjust with the display timing, ensuring the correction result perfectly matches the panel's operating rhythm. The drive voltage drop correction coefficient is obtained by multiplying the voltage drop fluctuation factor, the photothermal coupling characteristic coefficient, and the timing influence factor. This drive voltage drop correction coefficient is a dimensionless parameter with dimensions of . The parameters comprehensively reflect the triple influence of circuit state, environmental coupling, and timing rhythm on the driving voltage drop. They integrate the multi-dimensional voltage drop effects into a single intermediate correction factor, providing a unified correction basis for the final lighting threshold calculation. The logical derivation of the calculation formula relies on the fundamental theories of circuit dynamics and display timing control. The fluctuation of the driving voltage drop is jointly determined by three factors: the circuit's own characteristics, external environmental coupling, and the working timing rhythm. The synergistic calculation of these three influencing factors can completely restore the true working state of the driving voltage drop, eliminating the influence of irrelevant interference factors. All parameters are strictly dimensioned during the calculation process, and the calculation logic closely matches actual working conditions. Those skilled in the art can calculate the driving voltage drop correction coefficient based on the calculation formula and parameter definitions, combined with the previously calculated photothermal coupling characteristic coefficient and the collected driving and timing data. The calculation process is clear and straightforward, achieving accurate multi-factor correction of the driving voltage drop without requiring creative effort.

[0047] The timing-linked calculation formula for the drive voltage drop correction coefficient is the core computational step connecting environmental coupling correction and the final lighting threshold generation. It fully integrates parameter changes across three dimensions: the electrical state of the pixel drive circuit, the influence of ambient light and temperature coupling, and the display frame refresh timing rhythm, achieving dynamic correction of the drive voltage drop across all dimensions. The ratio of the real-time pixel drive voltage drop to the reference pixel drive voltage drop in the formula is used to accurately quantify the electrical fluctuation state of the drive circuit itself, eliminating irrelevant factors such as power supply voltage reference fluctuations and fixed deviations in line impedance, retaining only the actual voltage drop changes at the pixel array drive end. This data comes directly from the real-time acquisition results of the pixel drive voltage drop detection module, without data relay or processing delay. The formula directly incorporates the light and temperature coupling characteristic coefficient obtained from the previous calculation, including the indirect influence of environmental factors on the electrical characteristics of the drive devices in the correction logic. Changes in ambient light and temperature can cause a shift in the channel impedance of the pixel drive transistor, resulting in non-operating voltage drop fluctuations. This coefficient can accurately offset the calculation errors caused by such fluctuations, ensuring that the voltage drop correction only applies to the effective operating state of the drive circuit. The display frame refresh rate ratio calculation in the formula adapts to the pixel drive load changes under different display scenarios. In high refresh rate scenarios, the conduction time of the pixel drive circuit is shortened, the peak current is increased, and the voltage drop fluctuation is significantly increased. In low refresh rate scenarios, the drive load is stable, and the voltage drop changes gradually. The frequency ratio can dynamically match the voltage drop correction magnitude under different timing rhythms. The execution of this formula strictly relies on the calculation results of the preceding formula. Only after the optical-temperature coupling characteristic coefficient has been calculated and passed data verification will the calculation process of this formula be initiated. The three factors are calculated synchronously without sequential separation. The calculation results are directly transmitted to the lighting threshold generation process as intermediate correction parameters, realizing dynamic, real-time, and all-factor correction of the drive voltage drop, completely solving the one-sided problem of traditional voltage drop correction that only considers the circuit's own state.

[0048] The achieved technical effect is to realize the three-factor coordinated correction of the driving voltage drop, eliminate the non-operating voltage drop deviation caused by circuit, environment and timing, and provide an accurate driving correction factor for lighting threshold calculation.

[0049] The existing technology has technical problems. The current lighting threshold calculation does not take into account the dynamic decay change of the internal resistance of the pixel array. It only uses a fixed reference voltage, which cannot adapt to the changes in lighting voltage requirements caused by internal resistance fluctuations. The threshold deviation problem is prominent, and the probability of lighting failure increases significantly after long-term use.

[0050] Based on this, the pixel resistance-weighted illumination threshold generation performed by the coupling feature calculation module is based on the driving voltage drop correction coefficient calculation result, combined with the panel reference illumination voltage, the equivalent internal resistance of the pixel array, and the reference pixel internal resistance to perform calculations, thereby obtaining the AMOLED adaptive automatic illumination threshold. All parameters involved in the calculation are in SI units, and the corresponding calculation formula is as follows: ; in, The adaptive automatic lighting threshold for AMOLED displays is the core parameter for lighting control that is ultimately output by the system. This is the reference illumination voltage for the panel, which is the inherent illumination voltage parameter of the AMOLED panel in its brand-new state. This is the drive voltage drop correction coefficient obtained from the previous calculation, used to integrate the effects of drive and timing corrections; is the equivalent internal resistance of the pixel array, which is the equivalent impedance parameter of the AMOLED pixel array under real-time operating conditions; The reference pixel internal resistance is the calibrated internal resistance parameter of the pixel array in a brand new state when the AMOLED panel leaves the factory.

[0051] It is worth mentioning that the calculation formula is designed based on the internal resistance characteristics of the AMOLED pixel array and the electrical principles of illumination control. The illumination threshold of the AMOLED panel is not only affected by the reference illumination voltage and driving voltage drop correction, but also changes significantly with the fluctuation of the equivalent internal resistance of the pixel array. The equivalent internal resistance of the pixel array will continuously decay and change with the accumulation of working time, ambient temperature, and driving current load. A single fixed reference voltage cannot adapt to the illumination voltage requirements after the internal resistance changes. Therefore, an internal resistance correction term is introduced to achieve adaptive adjustment of the illumination threshold under all working conditions, fully conforming to the long-term use characteristics of the pixel device. The panel reference illumination voltage is the illumination reference parameter of the AMOLED panel under standard working conditions and new device state. The dimension of the panel reference illumination voltage is... The unit is volts. This parameter provides a basic numerical reference for the lighting threshold and is the core benchmark for the entire threshold calculation. The value is determined by the device parameters provided by the panel manufacturer, with no fluctuation range and no manual adjustment deviation. The driving voltage drop correction coefficient, as a comprehensive correction factor obtained from previous calculations, is directly integrated into the lighting threshold calculation process to offset threshold offsets caused by driving voltage drop fluctuations, environmental coupling effects, and timing changes. This ensures that the threshold calculation is not affected by external factors or intermediate circuit states, guaranteeing the basic stability of the threshold. The ratio of the equivalent internal resistance of the pixel array to the reference pixel internal resistance is used to quantify the actual fluctuation state of the pixel internal resistance. The dimensions of both the equivalent internal resistance of the pixel array and the reference pixel internal resistance are [missing information]. The unit is ohms. This parameter reflects the attenuation of the pixel array's internal resistance relative to the reference internal resistance of the new component. The ratio is calculated to obtain a dimensionless internal resistance fluctuation factor. Adding the internal resistance fluctuation factor to a constant 1 yields an internal resistance correction term. This term compensates for the impact of internal resistance changes on the required illumination voltage. When the pixel internal resistance increases, the voltage loss of the pixel drive increases, and the effective voltage required for illumination increases accordingly. The internal resistance correction term can synchronously increase the threshold value. When the pixel internal resistance decreases, the voltage loss decreases, and the effective voltage required for illumination decreases accordingly. The internal resistance correction term can synchronously decrease the threshold value, achieving real-time matching between the threshold and the internal resistance state, without lag or deviation. The AMOLED adaptive automatic illumination threshold is obtained by multiplying the panel reference illumination voltage, the drive voltage drop correction coefficient, and the internal resistance correction term. The dimension of the AMOLED adaptive automatic illumination threshold is... The unit is volts. The parameter is an adaptive lighting threshold that adapts to changes in environment, circuit, timing, and internal resistance across all dimensions. It can be directly used to generate drive control signals without additional adjustments. The logical derivation of the calculation formula relies on the electrical control laws of semiconductor display devices. The change in the lighting threshold is determined by three core factors: reference voltage, drive state, and internal resistance characteristics. The coordinated calculation of these three parameters can generate an adaptive threshold that adapts to all operating conditions, perfectly matching the actual working characteristics of AMOLED panels. All parameters have consistent dimensions, clear calculation logic, and unambiguous parameter definitions. Those skilled in the art can calculate the AMOLED adaptive automatic lighting threshold based on the calculation formula and parameter definitions, combined with the drive voltage drop correction coefficient obtained from previous calculations and the collected internal resistance data. This allows for the accurate adaptive generation of the lighting threshold without any creative effort.

[0052] The pixel resistance-weighted illumination threshold generation formula is the final output of the entire system's computational logic. It integrates all preceding correction factors with the pixel array's internal resistance characteristics to generate an adaptive illumination threshold suitable for all operating conditions and the entire lifecycle, completely resolving the technical problem of fixed illumination thresholds failing to adapt to panel aging and internal resistance changes. The panel reference illumination voltage in the formula is the inherent illumination parameter of the AMOLED panel under brand-new, standard operating conditions. As the fundamental value for the entire threshold calculation, it is permanently stored in the parameter storage unit, requiring no real-time adjustment and ensuring the baseline stability of the threshold calculation. The formula directly calls the drive voltage drop correction coefficient obtained from preceding calculations, incorporating all correction results for environmental coupling, drive fluctuations, and temporal changes into the threshold calculation. This eliminates the need for repeated data acquisition and calculation, simplifying the computational process while ensuring the integrity of the correction effect. The ratio of the equivalent internal resistance of the pixel array to the reference pixel internal resistance in the formula is designed to address the internal resistance decay characteristics of AMOLED panels after long-term use. The contact impedance between the pixel driving electrode and the organic light-emitting layer will continuously increase with the accumulation of working time, current load, and ambient temperature. As the internal resistance increases, the voltage loss of the pixel driving increases accordingly. Fixed lighting thresholds may experience lighting failures and insufficient brightness. The correction term formed by adding the internal resistance ratio to a constant 1 can compensate for the voltage demand changes caused by internal resistance decay in real time. When the internal resistance increases, the threshold automatically increases; when the internal resistance is stable, the threshold remains in an adapted state. The execution of this formula requires the completion of the first two stages of calculation and successful data verification. The calculation result is directly output to the AMOLED driving execution module without additional conversion or adjustment. The generated lighting threshold can directly match the control requirements of the panel driving circuit, forming a seamless connection from hardware calculation to driving execution. This achieves full-dimensional adaptive adjustment of the lighting threshold, ensuring accurate lighting control thresholds regardless of whether the panel is in a brand-new state or an aged state after long-term use, and regardless of whether it is in a normal environment or extreme conditions, guaranteeing stable and reliable lighting operation.

[0053] The achieved technical effect is to realize the adaptive calculation of the lighting threshold under all working conditions through internal resistance weighted correction, eliminate the threshold deviation caused by pixel internal resistance fluctuation and attenuation, and generate a lighting threshold that accurately adapts to actual working conditions and long-term use.

[0054] The existing technology has technical problems, such as poor compatibility between the existing AMOLED driving execution module and the panel driving circuit, ambiguous driving signal generation logic, and mismatch between signal level, pulse width and timing, which can easily lead to lighting failure, panel flickering or device damage, and there is no complete driving control closed loop.

[0055] Based on this, the AMOLED driving execution module establishes an electrical connection with the AMOLED panel driving circuit. The AMOLED panel driving circuit receives the driving control signal and drives the AMOLED panel to complete the automatic lighting action. The AMOLED driving execution module receives the AMOLED adaptive automatic lighting threshold output by the coupling feature calculation module. Based on the AMOLED adaptive automatic lighting threshold, the AMOLED driving execution module generates a driving control signal adapted to the AMOLED panel driving circuit. The driving control signal is transmitted to the AMOLED panel driving circuit.

[0056] It is worth mentioning that the AMOLED driving execution module incorporates dedicated signal conversion circuits, level amplification circuits, and timing calibration circuits. The signal conversion circuit converts the continuous voltage values ​​of the adaptive lighting threshold into digital control signals recognizable by the AMOLED panel driving circuit. The conversion rules perfectly match the communication protocol of the driving circuit, and the level amplitude, pulse width, and output timing of the control signal are all perfectly matched to the operating characteristics of the AMOLED panel driving circuit, with no parameter deviations or timing misalignments. The level amplification circuit amplifies the control signal to the amplitude required by the driving circuit, and the timing calibration circuit eliminates phase deviations caused by signal transmission, avoiding lighting failures, flickering, or damage to panel devices due to mismatched control signal parameters. The driving control signal is transmitted to the AMOLED panel driving circuit through a dedicated transmission line with double-layer electromagnetic shielding. The transmission line blocks external industrial electromagnetic interference, power supply ripple, and other interference, preventing signal distortion caused by external interference and ensuring the integrity and accuracy of signal transmission. After receiving the control signal, the AMOLED panel driving circuit outputs the corresponding driving current and driving voltage according to the threshold parameters of the control signal, precisely triggering the AMOLED pixel array to complete the lighting action. The triggering process is delay-free, error-free, and flicker-free. From data acquisition and coupling calculation to driving execution, a complete control closed loop is formed. The technical features of each link cooperate and support each other to ensure the accuracy, stability, and real-time performance of the lighting action. Those skilled in the art can completely reproduce all the functions of the system based on all the above technical features and implementation details, achieving stable adaptive automatic lighting of the AMOLED panel under all operating conditions and throughout its entire lifecycle without any creative effort. The achieved technical effect is to improve the full parameter compatibility between the driving execution module and the panel driving circuit, generate precisely matched driving control signals, form a complete control closed loop, and ensure the accuracy, stability, and reliability of the AMOLED panel lighting action.

[0057] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. An analysis system for automatic AMOLED illumination, comprising an ambient light and temperature acquisition module, a pixel drive voltage drop detection module, a frame timing analysis module, a coupling feature calculation module, and an AMOLED drive execution module, wherein the ambient light and temperature acquisition module is electrically connected to the coupling feature calculation module, and the ambient light and temperature acquisition module is used to acquire real-time ambient light illuminance and real-time ambient temperature; the pixel drive voltage drop detection module is electrically connected to the coupling feature calculation module, and the pixel drive voltage drop detection module is used to acquire real-time pixel drive voltage drop; the frame timing analysis module is electrically connected to the coupling feature calculation module, and the frame timing analysis module is used to analyze the display frame refresh rate; the AMOLED drive execution module is electrically connected to the coupling feature calculation module, and the AMOLED drive execution module is used to generate drive control signals and transmit them to the AMOLED panel, characterized in that... The coupling feature calculation module is used to call the reference ambient illuminance, reference ambient temperature, temperature normalization coefficient, reference pixel drive voltage drop, reference frame refresh rate, panel reference illumination voltage, and reference pixel internal resistance, and sequentially execute the calculation of light-temperature coupling feature coefficient, the timing linkage calculation of drive voltage drop correction coefficient, and the generation of pixel internal resistance weighted illumination threshold. The light-temperature coupling feature coefficient is the basis for the calculation of drive voltage drop correction coefficient, and the drive voltage drop correction coefficient is the basis for the calculation of pixel internal resistance weighted illumination threshold. The coupling feature calculation module is used to output the AMOLED adaptive automatic illumination threshold to the AMOLED drive execution module.

2. The analysis system for automatic AMOLED illumination according to claim 1, characterized in that, The photothermal coupling characteristic coefficient calculation performed by the coupling characteristic calculation module adopts a specific calculation formula. The real-time ambient illuminance, reference ambient illuminance, real-time ambient temperature, reference ambient temperature and temperature normalization coefficient are all input parameters of the calculation formula, and the photothermal coupling characteristic coefficient is the output parameter of the calculation formula. All parameters in the calculation formula adopt SI units.

3. The analysis system for automatic AMOLED illumination according to claim 2, characterized in that, The timing-linked calculation of the driving voltage drop correction coefficient performed by the coupling feature calculation module is based on the calculation results of the optical-temperature coupling feature coefficient. It combines the real-time pixel driving voltage drop, the reference pixel driving voltage drop, the display frame refresh frequency, and the reference frame refresh frequency to calculate the driving voltage drop correction coefficient. All parameters involved in the calculation are in SI units.

4. The analysis system for automatic AMOLED illumination according to claim 3, characterized in that, The pixel internal resistance weighted lighting threshold generation performed by the coupling feature calculation module is based on the calculation result of the driving voltage drop correction coefficient, combined with the panel reference lighting voltage, the equivalent internal resistance of the pixel array and the reference pixel internal resistance to obtain the AMOLED adaptive automatic lighting threshold, and all parameters involved in the calculation are in SI units.

5. The analysis system for automatic AMOLED illumination according to claim 1, characterized in that, The coupling feature calculation module performs calculations in the following order: first, it calculates the optical-temperature coupling feature coefficient; then, based on the calculation result of the optical-temperature coupling feature coefficient, it performs the timing linkage calculation of the driving voltage drop correction coefficient; and finally, based on the calculation result of the driving voltage drop correction coefficient, it generates the pixel internal resistance weighted illumination threshold. After each step of the calculation is completed, data verification is performed. Only after the verification is passed can the next step of the calculation be performed. The criterion for judging the data verification is that the deviation value of the calculation result does not exceed the preset deviation threshold.

6. The analysis system for automatic AMOLED illumination according to claim 1, characterized in that, The ambient light and temperature acquisition module includes a photoelectric conversion unit and a temperature sensing unit. The photoelectric conversion unit is electrically connected to the coupling characteristic calculation module. The photoelectric conversion unit is used to acquire real-time ambient light illuminance and convert it into an analog signal. The temperature sensing unit is electrically connected to the coupling characteristic calculation module. The temperature sensing unit is used to acquire real-time ambient temperature and convert it into an analog signal. The ambient light and temperature acquisition module is also used to convert the analog signal into a digital signal, and the digital signal is transmitted to the coupling characteristic calculation module for calculating the light-temperature coupling characteristic coefficient.

7. The analysis system for automatic AMOLED illumination according to claim 1, characterized in that, The pixel driving voltage drop detection module is electrically connected to the AMOLED pixel array driver. The pixel driving voltage drop detection module is used to collect the real-time operating voltage and real-time operating current of the AMOLED pixel array driver. The pixel driving voltage drop detection module is used to calculate the real-time pixel driving voltage drop based on the real-time operating voltage and the real-time operating current using the voltage-current difference method. The calculated real-time pixel driving voltage drop is transmitted to the coupling feature calculation module for timing linkage calculation of the driving voltage drop correction coefficient.

8. The analysis system for automatic AMOLED illumination according to claim 1, characterized in that, The frame timing parsing module is electrically connected to the AMOLED display frame cache unit. The AMOLED display frame cache unit is used to store the frame data of the AMOLED display panel. The frame timing parsing module is used to parse the frame data and extract the display frame refresh frequency from the frame data to generate timing reference data. The timing reference data is transmitted to the coupling feature calculation module to assist in the timing synchronization of the timing linkage calculation of the driving voltage drop correction coefficient.

9. The analysis system for automatic AMOLED illumination according to claim 1, characterized in that, The coupling feature calculation module includes a parameter storage unit and a computational processing unit. The parameter storage unit is electrically connected to the computational processing unit. The parameter storage unit is used to store the reference ambient light intensity, reference ambient temperature, temperature normalization coefficient, reference pixel drive voltage drop, reference frame refresh rate, panel reference illumination voltage, and reference pixel internal resistance. The computational processing unit is electrically connected to the ambient light and temperature acquisition module, the pixel drive voltage drop detection module, the frame timing parsing module, and the AMOLED drive execution module. The computational processing unit is used to receive data transmitted from each module, perform light and temperature coupling feature coefficient calculation, drive voltage drop correction coefficient timing linkage calculation, and pixel internal resistance weighted illumination threshold generation. The computational processing unit is also used to transmit the calculated AMOLED adaptive automatic illumination threshold to the AMOLED drive execution module.

10. The analysis system for automatic AMOLED illumination according to claim 1, characterized in that, The AMOLED drive execution module is electrically connected to the AMOLED panel drive circuit. The AMOLED panel drive circuit is used to receive drive control signals and drive the AMOLED panel to complete the automatic lighting action. The AMOLED drive execution module is used to receive the AMOLED adaptive automatic lighting threshold output by the coupling feature calculation module. The AMOLED drive execution module is used to generate a drive control signal adapted to the AMOLED panel drive circuit based on the AMOLED adaptive automatic lighting threshold, and the drive control signal is transmitted to the AMOLED panel drive circuit.

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