Method for improving brightness of display screen

Abstract

The invention provides a method for improving the brightness of a display screen, and belongs to the technical field of data processing, and the method comprises the steps: carrying out the comprehensive analysis of a hardware circuit of the display screen, and determining an influence mechanism of each sub-circuit on the brightness of the display screen; detecting an initial code for controlling the brightness of the display screen, and identifying a defect set existing in the initial code; and dynamically constructing a brightness adjustment strategy according to the influence mechanism and the defect set, introducing a feedback mechanism to collect the actual brightness data of the display screen in real time to compare the actual brightness data with the target brightness, and optimizing the brightness adjustment strategy in combination with the process parameters which influence the brightness and are involved in the contrastive analysis process. The limitation of a traditional method is broken through from the hardware-software cooperation level, and a systematic solution is provided for high-reliability and high-adaptability brightness adjustment.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method for improving the brightness of a display screen. Background Art

[0002] In the field of display technology, display brightness is a core parameter that affects the visual experience, and its adjustment accuracy and stability have always been a research focus. With the increasing complexity of application scenarios such as smart terminals, in-vehicle displays, and outdoor large screens, higher requirements are placed on the brightness adaptability of displays in different environments. Traditional methods for improving display brightness focus on single hardware adjustments (such as increasing the backlight drive current) or software algorithm optimization (such as linear brightness adjustment function), but many defects are exposed in actual applications: On the one hand, existing technologies lack a systematic analysis of the mechanisms that influence hardware circuits. Power supply fluctuations in the power management circuit (such as ripple noise and voltage drops) can lead to unstable pixel drive currents, and impedance matching issues in the drive circuit (such as signal transmission delays and insufficient drive capability) can cause reduced luminous efficiency. Traditional methods often only perform local optimization on a single circuit module, without establishing a mathematical model for the synergistic effects of multiple circuits. This results in limited brightness enhancement and is accompanied by side effects such as uneven brightness and abnormal power consumption. For example, simply increasing the backlight power supply voltage can increase brightness, but it may cause display flicker due to amplified power supply ripple. Existing technologies make it difficult to achieve a balance between brightness, power consumption, and stability at the circuit level. On the other hand, there's a disconnect between defect detection at the software code level and the hardware impact mechanisms. In the brightness control code, logical vulnerabilities in the brightness adjustment algorithm (such as failure to consider the temperature attenuation characteristics of the luminescent material), insufficient hardware adaptability (such as incorrect drive signal timing when the resolution changes), and signal distortion at the circuit interaction interface (such as PWM control signal transmission delay) can cause the actual brightness to deviate from the target value by more than 15%. Traditional code detection only involves syntax verification and simple functional testing, and fails to establish a mapping relationship between code defects and circuit parameters. For example, it cannot identify code adjustment step failures caused by changes in the drive circuit impedance, making it difficult to truly implement software optimization. Furthermore, existing brightness adjustment strategies lack dynamic adaptability. Fixed strategies cannot make real-time corrections when ambient light intensity changes suddenly, when the display operates for extended periods, causing material property drift (such as OLED luminous efficiency degradation), or when circuit components age (such as changes in capacitor value). For example, under strong outdoor sunlight, traditional methods increase backlight brightness by a fixed percentage. However, this method fails to account for the decrease in luminescent material efficiency at high temperatures, resulting in insufficient actual brightness improvement and a surge in power consumption of over 30%. Furthermore, the feedback mechanism only collects single-point brightness data and cannot identify complex issues such as uneven regional brightness. Consequently, adjustment accuracy is generally below 60%. Therefore, the present invention provides a method for improving the brightness of a display screen. Summary of the Invention

[0003] The present invention provides a method for improving the brightness of a display screen. The method is used to quantitatively analyze the influencing mechanisms of power management circuits and drive circuits, establish a correlation model between code defects and circuit parameters, and dynamically optimize and adjust strategies based on real-time feedback and process parameters. This method breaks through the limitations of traditional methods at the hardware-software collaboration level and provides a systematic solution for highly reliable and adaptable brightness adjustment.

[0004] The present invention provides a method for improving the brightness of a display screen, comprising: Step 1: Conduct a comprehensive analysis of the display's hardware circuits to determine how each sub-circuit affects the display's brightness. The sub-circuits include a power management circuit and a driver circuit. Step 2: Detecting the initial code that controls the display screen brightness and identifying a set of defects in the initial code. The defects are related to logic vulnerabilities in brightness adjustment, hardware feature compatibility, and signal transmission accuracy in the interface between the code and the circuit. Step 3: Dynamically construct a brightness adjustment strategy based on the influencing mechanism and defect set. Introduce a feedback mechanism to collect the actual brightness data of the display in real time and compare it with the target brightness. Combined with the process parameters affecting brightness involved in the comparative analysis, the brightness adjustment strategy is optimized.

[0005] Preferably, the power management circuit includes: a power input port, a voltage stabilizing module, a filtering module, and a power supply connection line with each functional module of the display screen, wherein the impedance characteristics of the power input port, the voltage stabilizing accuracy of the voltage stabilizing module, the filtering effect of the filtering module, and the resistance and inductance characteristics of the power supply connection line with each functional module of the display screen are obtained.

[0006] Preferably, the driving circuit includes: a driving chip, a driving signal transmission line and a pixel driving unit, wherein the performance parameters of the driving chip, the impedance matching and signal integrity of the driving signal transmission line on the transmission effect of the driving signal, the transistor characteristics in the pixel driving unit and the response capability of the circuit structure to the driving signal are obtained.

[0007] Preferably, detecting the initial code for controlling the brightness of the display screen and identifying the defect set present in the initial code includes: Scan the code text to check for syntax errors, logic vulnerabilities, potential performance issues, and hardware feature adaptation, and obtain static defects. Simulating different working scenarios, collecting working data of the initial code during operation, and comparing it with expected normal data under the corresponding working scenarios, obtaining the actual operating abnormality vector of the initial code under each working scenario, and obtaining dynamic defects; The static defects and dynamic defects are subjected to contradiction elimination to obtain a defect set.

[0008] Preferably, eliminating contradictions between the static curve and the dynamic defect to obtain a defect set includes: Construct a defect contradiction analysis matrix M, wherein the rows of the matrix M represent a static defect set, the columns of the matrix M represent a dynamic defect set, and the matrix elements Mij represent the correlation between the static defects si and the static defects dj;

[0009] in, Indicates the semantic similarity of defects; Defect coverage, that is, the overlap ratio between the code lines where static defects are located and the code paths that trigger dynamic defects; Indicates the impact of the defect, that is, the impact of the defect on the brightness adjustment function of the display; 、 、 is the weight coefficient, and ; Based on the defect contradiction analysis matrix M, a contradiction elimination optimization model is established:

[0010] , , , ,

[0011] in, Represents the contradiction weight, which is determined by the correlation degree Mapping obtained; , is a decision variable, indicating whether the defect is included in the final defect set; , Retention thresholds for pre-set defects; Eliminate static defects With static defects The cost of the contradiction between them; m represents the number of static defects; n represents the number of dynamic defects; The contradiction elimination optimization model is solved to obtain the optimal decision variable combination, thereby determining the final defect set.

[0012] Preferably, it also includes: The ambient light sensor collects the light intensity of the display screen's surrounding environment in real time, while the temperature sensor collects the display screen's own operating temperature. When the ambient light intensity is greater than the preset intensity, the brightness of the display is increased based on its own operating temperature control, the enhanced transition time set based on the visual persistence characteristics of the human eye, and the brightness enhancement response time characteristics of the display; When the ambient light intensity is less than the preset intensity, the brightness of the display is controlled to be reduced by setting the transition time reduction and the brightness reduction response time characteristics of the display based on its own operating temperature and the visual persistence characteristics of the human eye.

[0013] Preferably, increasing the brightness of the display screen includes: Establish a nonlinear mapping relationship between the display's luminous efficiency and temperature, and calculate the compensated target drive current based on real-time temperature sensor data ; ,in, is the reference driving current; Safe operating temperature range for the display; For its own working temperature control; is the light intensity; is the preset intensity; It is a nonlinear mapping relationship; Defining brightness enhancement transition time based on the human eye's visual persistence characteristics

[0014] ,in, is the display frame period; is the brightness enhancement response time constant; is the weight coefficient; Construct a transfer function model G(s) that includes the display response time and the driver circuit delay:

[0015] in, is the brightness gain; 、 They represent the display response time transfer coefficient, the drive circuit delay transfer coefficient, and the signal processing delay transfer coefficient respectively; According to the target drive current , brightness enhancement transition time , transfer function model G(s), determine the optimal brightness adjustment unit, and perform incremental adjustments in sequence until the target drive current is reached .

[0016] Preferably, a brightness adjustment strategy is dynamically constructed based on the impact mechanism and the defect set, including: Defining an impact mechanism state vector, obtaining a preset defect impact weight matrix matching the state vector, and mapping the defect set to a policy parameter adjustment based on the preset defect impact weight matrix; According to the multi-objective function of brightness error and power consumption cost, the strategy parameter adjustment amount is updated to obtain a brightness adjustment strategy.

[0017] Preferably, the brightness adjustment strategy is optimized in combination with the process parameters affecting brightness involved in the comparative analysis process, including: Real-time acquisition of six process parameters: the voltage fluctuation amplitude of the circuit driving end, the pixel driving current stability coefficient, the spectral drift of the luminescent material, the light decay rate of the backlight module, the gradient change rate of the ambient light intensity, and the activation state of the defect set. This creates a parameter comparison matrix containing 27 feature dimensions. The dynamic time warping algorithm is used to perform similarity matching between the real-time parameter sequence and the benchmark parameter sequence under the historical optimal working conditions to identify abnormal parameter combination patterns. A compensation strategy library containing 15 adjustment factors is constructed for each type of abnormal pattern; Through real-time mapping of the parameter comparison matrix and the compensation strategy library, the corresponding strategy is automatically triggered when parameter anomalies are detected.

[0018] Preferably, it also includes: Distribute multiple brightness sensors at different locations on the display screen to collect brightness data of each area in real time; The control chip analyzes the collected multi-point brightness data to determine whether there is uneven brightness on the display screen; If it exists, start the detection of the display's hardware circuit and initial code.

[0019] Compared with the prior art, the present invention has the following advantages: By quantitatively analyzing the influencing mechanisms of power management circuits and driver circuits, establishing a correlation model between code defects and circuit parameters, and dynamically optimizing and adjusting strategies based on real-time feedback and process parameters, we break through the limitations of traditional methods at the hardware-software collaboration level and provide a systematic solution for highly reliable and adaptable brightness adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1The present invention provides a flowchart of a method for improving the brightness of a display screen. DETAILED DESCRIPTION

[0022] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0023] The present invention provides a method for improving the brightness of a display screen. Figure 1 Shown, including: Step 1: Conduct a comprehensive analysis of the display's hardware circuits to determine how each sub-circuit affects the display's brightness. The sub-circuits include a power management circuit and a driver circuit. Step 2: Detecting the initial code that controls the display screen brightness and identifying a set of defects in the initial code. The defects are related to logic vulnerabilities in brightness adjustment, hardware feature compatibility, and signal transmission accuracy in the interface between the code and the circuit. Step 3: Dynamically construct a brightness adjustment strategy based on the influencing mechanism and defect set. Introduce a feedback mechanism to collect the actual brightness data of the display in real time and compare it with the target brightness. Combined with the process parameters affecting brightness involved in the comparative analysis, the brightness adjustment strategy is optimized.

[0024] Preferably, the power management circuit includes: a power input port, a voltage stabilizing module, a filtering module, and a power supply connection line with each functional module of the display screen, wherein the impedance characteristics of the power input port, the voltage stabilizing accuracy of the voltage stabilizing module, the filtering effect of the filtering module, and the resistance and inductance characteristics of the power supply connection line with each functional module of the display screen are obtained.

[0025] Preferably, the driving circuit includes: a driving chip, a driving signal transmission line and a pixel driving unit, wherein the performance parameters of the driving chip, the impedance matching and signal integrity of the driving signal transmission line on the transmission effect of the driving signal, the transistor characteristics in the pixel driving unit and the response capability of the circuit structure to the driving signal are obtained.

[0026] In this embodiment, the power management circuit is a circuit system responsible for converting external power into a stable power source required by various display components. For example, in a mobile phone display, the power management circuit converts the battery output voltage into the different voltage values ​​required by the display driver chip, backlight module, etc. Power input port: This is the interface where an external power source connects to the power management circuit. Its impedance characteristics affect the stability of the power input. For example, if the impedance of a laptop's power adapter port is mismatched, the power supply will be unstable and affect the brightness of the display. In this embodiment, the voltage stabilization module is a module that maintains a stable output voltage. The voltage stabilization accuracy determines the output voltage stability. Like common DC-DC voltage stabilization chips, high-precision voltage stabilization modules can control output voltage fluctuations within a very small range when the load changes. In this embodiment, the filter module is a circuit module that removes high-frequency noise from the power supply. For example, in the power management circuit of a car display, the filter module can filter out electromagnetic interference generated by the engine to prevent the noise from affecting the brightness of the display. In this embodiment, the power supply connection circuitry connects the power management circuitry to the various functional modules of the display screen. Its resistance and inductance affect the quality of the power supply. For example, in a television display, a long power supply circuitry may cause a drop in voltage at the end due to its high resistance, thus affecting pixel brightness.

[0027] In this embodiment, the driving circuit is a circuit that provides driving signals to the pixels of the display screen, controlling the light-emitting state of the pixels. For example, the driving circuit of a liquid crystal display screen adjusts the light transmittance by controlling the deflection angle of liquid crystal molecules, thereby affecting the display brightness. In this embodiment, the driver chip is a core chip that generates a driving signal. Its performance parameters determine the driving capability. For example, a driver chip for an AMOLED display screen can provide higher driving current and a wider driving voltage range. In this embodiment, the drive signal transmission line is the line that transmits the signal generated by the driver chip to the pixel driver unit. Impedance matching and signal integrity affect signal transmission. For example, in a high-resolution display, if the transmission line impedance is mismatched, the drive signal will be attenuated, causing the pixel to not emit light properly. In this embodiment, the pixel driver unit is a circuit unit that directly controls the light emission of pixels. Its transistor characteristics and circuit structure affect the pixel's response to the drive signal. For example, in an LED display, the performance of the pixel driver unit's transistors determines the brightness and stability of the LED's light.

[0028] In this embodiment, the initial code for controlling the brightness of the display screen is a software program code for adjusting the brightness of the display screen, for example, an application program code for controlling screen brightness adjustment in a mobile phone system. In this embodiment, the defect set is a set of various problems in the code that affect the brightness adjustment function. In this embodiment, the logic vulnerability of brightness adjustment is a logic error in the brightness adjustment algorithm in the code. For example, in the automatic brightness adjustment code, if abnormal values ​​of the ambient light sensor data are not properly handled, it may cause brightness adjustment confusion. In this embodiment, hardware feature adaptability refers to the compatibility of the code with the display hardware features. For example, if the display is replaced with a higher resolution model and the code does not adjust the timing parameters of the driving signal accordingly, it will cause display abnormalities. In this embodiment, the signal transmission accuracy of the interactive interface refers to the correctness of the signal transmitted by the communication interface between the code and the hardware circuit. For example, when the interface controls the backlight brightness, if the control signal sent by the code has a timing error, the backlight brightness cannot be adjusted correctly.

[0029] In this embodiment, the influencing mechanism is the mechanism by which various parts of a certain hardware circuit affect the brightness of the display screen. For example, insufficient precision of the voltage stabilization module of the power management circuit can cause output voltage fluctuations, thereby affecting the pixel drive current and ultimately reducing the brightness of the display screen. A defect set is a collection of identified code defects. In this embodiment, the brightness adjustment strategy refers to the method and rules for adjusting the display brightness based on the impact mechanism and defect set. For example, if excessive power supply ripple is detected, affecting brightness, the adjustment strategy may include increasing the filtering strength of the filter module and optimizing the power supply voltage sampling and adjustment algorithm in the code. Feedback mechanism: A system that collects the actual brightness data of the display in real time and compares it with the target brightness. For example, a mobile phone display uses built-in light and brightness sensors to feed back the collected brightness data to the control system for brightness adjustment. In this embodiment, process parameters refer to various parameters that affect brightness during the brightness adjustment process, such as circuit drive terminal voltage, pixel drive current, ambient light intensity, etc. For example, when using a display screen outdoors, ambient light intensity is an important process parameter that affects the implementation of the brightness adjustment strategy. The beneficial effects of the above technical solution are: by quantitatively analyzing the influencing mechanisms of power management circuits and drive circuits, establishing a correlation model between code defects and circuit parameters, and dynamically optimizing and adjusting strategies based on real-time feedback and process parameters, it breaks through the limitations of traditional methods at the hardware-software collaboration level and provides a systematic solution for high-reliability and high-adaptability brightness adjustment.

[0030] The present invention provides a method for improving the brightness of a display screen, which detects an initial code for controlling the brightness of the display screen and identifies a defect set present in the initial code, including: Scan the code text to check for syntax errors, logic vulnerabilities, potential performance issues, and hardware feature adaptation, and obtain static defects. Simulating different working scenarios, collecting working data of the initial code during operation, and comparing it with expected normal data under the corresponding working scenarios, obtaining the actual operating abnormality vector of the initial code under each working scenario, and obtaining dynamic defects; The static defects and dynamic defects are subjected to contradiction elimination to obtain a defect set.

[0031] Preferably, eliminating contradictions between the static curve and the dynamic defect to obtain a defect set includes: Construct a defect contradiction analysis matrix M, wherein the rows of the matrix M represent a static defect set, the columns of the matrix M represent a dynamic defect set, and the matrix elements Mij represent the correlation between the static defects si and the static defects dj;

[0032] in, Indicates the semantic similarity of defects; Defect coverage, that is, the overlap ratio between the code lines where static defects are located and the code paths that trigger dynamic defects; Indicates the impact of the defect, that is, the impact of the defect on the brightness adjustment function of the display; 、 、 is the weight coefficient, and ; Based on the defect contradiction analysis matrix M, a contradiction elimination optimization model is established:

[0033] , , , ,

[0034] in, Represents the contradiction weight, which is determined by the correlation degree Mapping obtained; , is a decision variable, indicating whether the defect is included in the final defect set; , Retention thresholds for pre-set defects; Eliminate static defects With static defects The cost of the contradiction between them; m represents the number of static defects; n represents the number of dynamic defects; The contradiction elimination optimization model is solved to obtain the optimal decision variable combination, thereby determining the final defect set.

[0035] In this embodiment, static defects are defects that can be discovered by analyzing the code text without running the code. Examples include syntax errors (such as indentation errors in Python), undefined variables (such as using the undeclared variable brightness_level), and logic vulnerabilities (such as not handling the edge case of an ambient light intensity of 0 in the brightness adjustment algorithm).

[0036] In this embodiment, a syntax error refers to an error that violates the syntax rules of a programming language, such as missing a semicolon in intbrightness = 100 in the C language.

[0037] In this embodiment, a logic vulnerability refers to a problem in which the code logic does not meet the expected functional requirements. For example, the automatic brightness adjustment code incorrectly calculates the ambient light intensity as inversely proportional to the target brightness.

[0038] In this embodiment, potential performance issues include code structures that may cause the system to run slowly, such as redundant calculations in the brightness adjustment loop.

[0039] In this embodiment, hardware feature adaptation status: whether the code correctly adapts to the hardware parameters. For example, the driver circuit requires a PWM frequency range of 20-50kHz, but the code is set to 10kHz, resulting in display flickering.

[0040] In this embodiment, dynamic defects refer to exceptions that occur during code execution, such as memory leaks that cause slow brightness adjustment response, or hardware interface timeout errors that cause sudden brightness drops.

[0041] In this embodiment, the working scenario simulation is to simulate different usage environments, such as testing the brightness attenuation characteristics of an OLED screen in a high temperature environment.

[0042] In this embodiment, working data collection: collects performance data when the code is running, such as collecting PWM signal frequency, driving current fluctuation range, etc.

[0043] In this embodiment, expected normal data is ideal benchmark data, such as the brightness value should be between 100-300 nits under standard ambient light intensity.

[0044] In this embodiment, the actual operation abnormality vector is a multi-dimensional vector describing the deviation of the actual operation from the expected one, for example, [brightness fluctuation amplitude = ±20 nits, response time = 500ms (expected < 300ms)].

[0045] In this embodiment, contradiction elimination is to resolve the conflict between static and dynamic defects. For example, static detection indicates that a certain code segment has redundant calculations (performance issues), but dynamic testing shows that this calculation is critical to the stability of hardware response.

[0046] The beneficial effects of the above technical solution are: combining static and dynamic analysis, improving the defect discovery rate compared to a single method, and increasing the priority of repairing key defects through the contradiction elimination model.

[0047] The present invention provides a method for improving the brightness of a display screen, further comprising: The ambient light sensor collects the light intensity of the display screen's surrounding environment in real time, while the temperature sensor collects the display screen's own operating temperature. When the ambient light intensity is greater than the preset intensity, the brightness of the display is increased based on its own operating temperature control, the enhanced transition time set based on the visual persistence characteristics of the human eye, and the brightness enhancement response time characteristics of the display; When the ambient light intensity is less than the preset intensity, the brightness of the display is controlled to be reduced by setting the transition time reduction and the brightness reduction response time characteristics of the display based on its own operating temperature and the visual persistence characteristics of the human eye.

[0048] Preferably, increasing the brightness of the display screen includes: Establish a nonlinear mapping relationship between the display's luminous efficiency and temperature, and calculate the compensated target drive current based on real-time temperature sensor data ; ,in, is the reference driving current; Safe operating temperature range for the display; For its own working temperature control; is the light intensity; is the preset intensity; It is a nonlinear mapping relationship; Defining brightness enhancement transition time based on the human eye's visual persistence characteristics

[0049] ,in, is the display frame period; is the brightness enhancement response time constant; is the weight coefficient; Construct a transfer function model G(s) that includes the display response time and the driver circuit delay:

[0050] in, is the brightness gain; 、 They represent the display response time transfer coefficient, the drive circuit delay transfer coefficient, and the signal processing delay transfer coefficient respectively; According to the target drive current , brightness enhancement transition time , transfer function model G(s), determine the optimal brightness adjustment unit, and perform incremental adjustments in sequence until the target drive current is reached .

[0051] In this embodiment, the ambient light sensor is an electronic component used to detect the intensity of ambient light, commonly found in devices such as mobile phones and laptops. For example, the ambient light sensor on the top of a smartphone can detect different lighting conditions, such as indoor lighting and outdoor sunlight, providing data support for automatically adjusting the screen brightness. In this embodiment, light intensity is a physical quantity indicating the intensity of light, measured in lux (lx). In normal indoor lighting conditions, the light intensity is generally between 100-500 lx; ​​in sunny outdoor conditions at noon, the light intensity can reach 100,000 lx. In this embodiment, the temperature sensor measures the operating temperature of the display screen itself, often using a thermistor or thermocouple. For example, a temperature sensor installed on the back of a laptop screen can monitor real-time temperature changes caused by prolonged use or high-load operation. In this embodiment, the operating temperature refers to the temperature generated by the display during operation. Excessively high temperatures can affect the display's luminous efficiency and service life. For example, OLED displays may experience accelerated pixel aging and reduced luminous efficiency at high temperatures. In this embodiment, the preset intensity is a pre-set light intensity threshold used to determine whether to increase the display brightness. For example, in the automatic brightness adjustment function of a mobile phone, the preset intensity can be set to 2000 lx. When the ambient light intensity exceeds this value, the brightness enhancement mechanism is triggered.

[0052] In this embodiment, the internal operating temperature control strategy adjusts the brightness adjustment strategy based on the display's internal operating temperature to prevent the display's performance from being affected by excessive temperatures. For example, when the display's temperature approaches the upper limit of its safe operating temperature, the brightness increase is appropriately reduced to reduce heat generation.

[0053] In this embodiment, the human eye's persistence of vision characteristic: When observing a scene, it takes a short time for light signals to travel to the brain. After the light stops acting on the scene, the visual image does not immediately disappear. This residual visual effect is called an "afterimage," and this visual phenomenon is known as "persistence of vision." Its time constant is approximately 40ms. During brightness adjustment, if the brightness changes too quickly, exceeding the persistence of vision time, the human eye will perceive flicker. In this embodiment, the brightness boost transition time is the time it takes to gradually increase the brightness when increasing the display brightness to avoid sudden brightness changes that may cause discomfort to the eyes. For example, when increasing the brightness from low to high, the transition time can be set to 200ms to ensure a smooth brightness change.

[0054] In this embodiment, the brightness boost response time characteristic refers to the speed at which the actual brightness of the display screen begins to change and reaches the target brightness after receiving the brightness boost instruction. Different types of display screens (such as LCDs and OLEDs) have different brightness boost response times. In this embodiment, the target drive current is a current value calculated based on factors such as ambient light intensity and display screen temperature, used to drive the display screen to a target brightness. For example, in a bright light environment with a low display screen temperature, the target drive current may be higher to increase the display screen brightness. In this embodiment, the display screen frame period refers to the time required for the display screen to refresh one frame of image, which is related to the refresh rate of the display screen.

[0055] In this embodiment, the brightness enhancement response time constant is a parameter reflecting the brightness enhancement speed of the display screen, which is determined by the hardware characteristics of the display screen. For example, the brightness enhancement response time constant of an OLED display screen is generally smaller than that of an LCD display screen, and the response speed is faster. In this embodiment, the weight coefficient is a parameter used to adjust the degree of influence of different factors on the brightness enhancement transition time. For example, if the human visual experience is more important, the weight coefficient related to the persistence of vision characteristic can be increased to make the transition time more consistent with human perception. In this embodiment, the transfer function model G(s) is a mathematical model used to describe the relationship between the input and output of the display screen brightness adjustment system in the control system, and is established based on Laplace transform.

[0056] In this embodiment, the optimal brightness adjustment unit is the optimal brightness change amount for each adjustment during the brightness adjustment process. For example, the optimal brightness adjustment unit can be calculated based on parameters such as the resolution and pixel density of the display screen to achieve accurate brightness adjustment. In this embodiment, hardware optimization is performed by selecting a driver chip and display panel with a fast response speed to reduce the brightness enhancement response time constant; optimizing the driver circuit design to reduce signal transmission delay and improve the overall performance of the system. In this embodiment, the transition time is reduced: When reducing the brightness of the display screen, the time over which the brightness gradually decreases is also designed based on the persistence of vision of the human eye to avoid visual discomfort caused by sudden brightness changes. For example, when reducing the brightness from high to low, the transition time can be set to 150ms. In this embodiment, the brightness reduction response time characteristic refers to the speed at which the actual brightness of the display screen begins to decrease and reaches the target brightness after receiving the brightness reduction instruction. Similar to the brightness increase response time characteristic, the brightness reduction response time of different displays also varies. The beneficial effect of the above technical solution is: by real-time collection of ambient light intensity and the operating temperature of the display itself, combined with the visual persistence characteristics of the human eye and the response time characteristics of the display, intelligent adjustment of the display brightness is achieved.

[0057] The present invention provides a method for improving the brightness of a display screen, which dynamically constructs a brightness adjustment strategy based on an influencing mechanism and a defect set, including: Defining an impact mechanism state vector, obtaining a preset defect impact weight matrix matching the state vector, and mapping the defect set to a policy parameter adjustment based on the preset defect impact weight matrix; According to the multi-objective function of brightness error and power consumption cost, the strategy parameter adjustment amount is updated to obtain a brightness adjustment strategy.

[0058] Preferably, the brightness adjustment strategy is optimized in combination with the process parameters affecting brightness involved in the comparative analysis process, including: Real-time acquisition of six process parameters: the voltage fluctuation amplitude of the circuit driving end, the pixel driving current stability coefficient, the spectral drift of the luminescent material, the light decay rate of the backlight module, the gradient change rate of the ambient light intensity, and the activation state of the defect set. This creates a parameter comparison matrix containing 27 feature dimensions. The dynamic time warping algorithm is used to perform similarity matching between the real-time parameter sequence and the benchmark parameter sequence under the historical optimal working conditions to identify abnormal parameter combination patterns. A compensation strategy library containing 15 adjustment factors is constructed for each type of abnormal pattern; Through real-time mapping of the parameter comparison matrix and the compensation strategy library, the corresponding strategy is automatically triggered when parameter anomalies are detected.

[0059] In this embodiment, the influencing mechanism state vector is a set of vectors used to quantify the key factors affecting display brightness. These include, for example, the output voltage fluctuation of the power management circuit, the temperature of the driver chip, and the ambient light intensity. For example, when a mobile phone display is used outdoors, the ambient light intensity, the display temperature, and the current fluctuations of the driver circuit all change in real time. The vector composed of these changes reflects the current state of the mechanism affecting brightness.

[0060] In this embodiment, the preset defect impact weight matrix is ​​a pre-set matrix used to measure the degree of influence of different defects on the display screen brightness adjustment strategy.

[0061] In this embodiment, a defect set refers to a collection of various issues in the code that affect the display brightness adjustment function. For example, the code's brightness adjustment algorithm fails to consider the temperature decay characteristics of the luminescent material, lacks hardware adaptability (such as incorrect drive signal timing when the resolution changes), and signal distortion in the circuit interface (such as PWM control signal transmission delay) and other issues together constitute a defect set. In this embodiment, the strategy parameter adjustment amount is calculated based on the defect set and the preset defect impact weight matrix, and is used to adjust the parameter change of the brightness adjustment strategy. For example, when an impedance change defect is detected in the driving circuit, the driving current parameter of the brightness adjustment may be increased by 10% through the weight matrix calculation. This 10% change is part of the strategy parameter adjustment amount. In this embodiment, defect set mapping utilizes matrix operations to multiply the defect set by a preset defect impact weight matrix to obtain a policy parameter adjustment amount.

[0062] In this embodiment, the brightness error is the difference between the actual brightness of the display screen and the target brightness. For example, if the target brightness is set to 300 nits and the actual measured brightness of the display screen is 280 nits, the brightness error is 20 nits. In this embodiment, when the display brightness is increased, the power consumption of the backlight module and driver circuit increases. This increased power consumption is the power consumption cost. For example, when the mobile phone screen brightness is increased from 50% to 100%, the battery power consumption per unit time increases by 15%. This 15% power consumption is the power consumption cost of this brightness adjustment. In this embodiment, the brightness adjustment strategy is a complete adjustment solution after updating the display brightness adjustment strategy based on the calculated strategy parameter adjustment amount. For example, the strategy is a combination of operations such as adjusting the driving current, changing the brightness adjustment transition time, and optimizing the brightness adjustment algorithm. In this embodiment, process parameters are various parameters that affect brightness during the brightness adjustment process, including the voltage fluctuation amplitude of the circuit driving end, the stability coefficient of the pixel driving current, the spectral drift of the luminescent material, the light decay rate of the backlight module, the gradient change rate of the ambient light intensity, and the activation state of the defect set, a total of 6 categories. For example, excessive voltage fluctuation amplitude of the circuit driving end may cause unstable pixel light emission; low pixel driving current stability coefficient may cause flickering of the display brightness; and the spectral drift of the luminescent material may affect the display color and brightness uniformity. In actual applications, as the display screen is used for a longer time, the light decay rate of the backlight module will gradually increase, resulting in a decrease in the overall brightness of the screen. In this embodiment, the parameter comparison matrix is ​​a matrix formed by organizing the real-time process parameters according to 27 characteristic dimensions, which is used for comparative analysis with historical benchmark data. For example, a row of the matrix may represent all process parameter data at a certain point in time, and each column corresponds to a characteristic dimension, such as the mean and variance of the driver-end voltage fluctuation amplitude. In this embodiment, the dynamic time warping algorithm is used to calculate the similarity between two time series. It finds the optimal matching path by scaling and aligning the time series. In this solution, it is used to perform similarity matching between the real-time acquired process parameter sequence and the baseline parameter sequence under historical optimal operating conditions. For example, the parameter sequence of the current display screen during operation, such as voltage fluctuations and current changes, is matched with the parameter sequence under ideal conditions in the past to determine whether the current operating conditions are normal. In this embodiment, an abnormal parameter combination pattern refers to a parameter combination identified by the dynamic time warping algorithm that does not match the historical optimal operating conditions. For example, if the driving terminal voltage fluctuation amplitude is too large and the pixel driving current stability coefficient is simultaneously reduced, an abnormal parameter combination pattern may be formed that causes abnormal brightness. In this embodiment, the compensation strategy library is a pre-built set of 15 adjustment factor strategies for different abnormal parameter combinations. For example, for the aforementioned voltage and current abnormality patterns, the compensation strategy library may include strategies such as adjusting power supply filter parameters and optimizing the feedback control algorithm of the drive circuit. In this embodiment, real-time mapping is performed: abnormal parameter combinations detected in the parameter comparison matrix are matched and mapped to strategies in the compensation strategy library in real time. Once an anomaly is detected, the corresponding compensation strategy is immediately triggered. For example, if the system detects an abnormal rate of change in the ambient light intensity gradient and a related code defect in the active defect set, strategies for adjusting the brightness adjustment algorithm and enhancing sensor data processing are automatically retrieved from the compensation strategy library. The beneficial effects of the above technical solution are: by constructing the influence mechanism state vector and the preset defect influence weight matrix, a quantitative analysis of the relationship between defects and brightness adjustment strategies is achieved; based on the multi-objective function optimization strategy parameters, multiple requirements such as brightness accuracy and power consumption are balanced; and the brightness adjustment strategy is optimized in real time in combination with process parameters, thereby improving the system's adaptability to complex working conditions.

[0063] The present invention provides a method for improving the brightness of a display screen, further comprising: Distribute multiple brightness sensors at different locations on the display screen to collect brightness data of each area in real time; The control chip analyzes the collected multi-point brightness data to determine whether there is uneven brightness on the display screen; If it exists, start the detection of the display's hardware circuit and initial code.

[0064] The beneficial effect of the above technical solution is: by collecting the brightness at different positions, it is determined whether the brightness of the display screen is uniform, and the subsequent detection of the circuit and code is effectively initiated.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for increasing the brightness of a display screen, characterized in that: include: Step 1: Conduct a comprehensive analysis of the display's hardware circuits to determine how each sub-circuit affects the display's brightness. The sub-circuits include a power management circuit and a driver circuit. Step 2: Detecting the initial code that controls the display screen brightness and identifying a set of defects in the initial code. The defects are related to logic vulnerabilities in brightness adjustment, hardware feature compatibility, and signal transmission accuracy in the interface between the code and the circuit. Step 3: Dynamically construct a brightness adjustment strategy based on the influencing mechanism and defect set. Introduce a feedback mechanism to collect the actual brightness data of the display in real time and compare it with the target brightness. Combined with the process parameters affecting brightness involved in the comparative analysis, the brightness adjustment strategy is optimized.

2. The method for improving the brightness of a display screen according to claim 1, wherein: The power management circuit includes: a power input port, a voltage stabilization module, a filtering module, and a power supply connection line with each functional module of the display screen, wherein the impedance characteristics of the power input port, the voltage stabilization accuracy of the voltage stabilization module, the filtering effect of the filtering module, and the resistance and inductance characteristics of the power supply connection line with each functional module of the display screen are obtained.

3. The method for improving the brightness of a display screen according to claim 1, wherein: The driving circuit includes: a driving chip, a driving signal transmission line and a pixel driving unit, wherein the performance parameters of the driving chip, the impedance matching and signal integrity of the driving signal transmission line on the transmission effect of the driving signal, the transistor characteristics in the pixel driving unit and the response ability of the circuit structure to the driving signal are obtained.

4. The method for improving the brightness of a display screen according to claim 1, wherein: The initial code for controlling the brightness of the display screen is tested to identify a set of defects in the initial code, including: Scan the code text to check for syntax errors, logic vulnerabilities, potential performance issues, and hardware feature adaptation, and obtain static defects. Simulating different working scenarios, collecting working data of the initial code during operation, and comparing it with expected normal data under the corresponding working scenarios, obtaining the actual operating abnormality vector of the initial code under each working scenario, and obtaining dynamic defects; The static defects and dynamic defects are subjected to contradiction elimination to obtain a defect set.

5. The method for improving the brightness of a display screen according to claim 4, wherein: Eliminate contradictions between the static curve and the dynamic defect to obtain a defect set, including: Construct a defect contradiction analysis matrix M, wherein the rows of the matrix M represent a static defect set, the columns of the matrix M represent a dynamic defect set, and the matrix elements Mij represent the correlation between the static defects si and the static defects dj; in, Indicates the semantic similarity of defects; Defect coverage, that is, the overlap ratio between the code lines where static defects are located and the code paths that trigger dynamic defects; Indicates the impact of the defect, that is, the impact of the defect on the brightness adjustment function of the display; 、 、 is the weight coefficient, and ; Based on the defect contradiction analysis matrix M, a contradiction elimination optimization model is established: ， ， ， ， in, Represents the contradiction weight, which is determined by the correlation degree Mapping obtained; , is a decision variable, indicating whether the defect is included in the final defect set; , Retention thresholds for pre-set defects; Eliminate static defects Static defects The cost of the contradiction between them; m represents the number of static defects; n represents the number of dynamic defects; The contradiction elimination optimization model is solved to obtain the optimal decision variable combination, thereby determining the final defect set.

6. The method for improving the brightness of a display screen according to claim 1, wherein: Also includes: The ambient light sensor collects the light intensity of the display screen's surrounding environment in real time, while the temperature sensor collects the display screen's own operating temperature. When the ambient light intensity is greater than the preset intensity, the brightness of the display is increased based on its own operating temperature control, the enhanced transition time set based on the visual persistence characteristics of the human eye, and the brightness enhancement response time characteristics of the display; When the ambient light intensity is less than the preset intensity, the brightness of the display is controlled to be reduced by setting the transition time reduction and the brightness reduction response time characteristics of the display based on its own operating temperature and the visual persistence characteristics of the human eye.

7. The method for improving the brightness of a display screen according to claim 6, wherein: Increase the brightness of the display, including: Establish a nonlinear mapping relationship between the display's luminous efficiency and temperature, and calculate the compensated target drive current based on real-time temperature sensor data ; ,in, is the reference driving current; Safe operating temperature range for the display; For its own working temperature control; is the light intensity; is the preset intensity; It is a nonlinear mapping relationship; Defining brightness enhancement transition time based on the human eye's visual persistence characteristics ; ,in, is the display frame period; is the brightness enhancement response time constant; is the weight coefficient; Construct a transfer function model G(s) that includes the display response time and the driver circuit delay: in, is the brightness gain; 、 They represent the display response time transfer coefficient, the drive circuit delay transfer coefficient, and the signal processing delay transfer coefficient respectively; According to the target drive current , brightness enhancement transition time , transfer function model G(s), determine the optimal brightness adjustment unit, and perform incremental adjustments in sequence until the target drive current is reached .

8. The method for improving display screen brightness according to claim 1, wherein: Dynamically build brightness adjustment strategies based on impact mechanisms and defect sets, including: Defining an impact mechanism state vector, obtaining a preset defect impact weight matrix matching the state vector, and mapping the defect set to a policy parameter adjustment based on the preset defect impact weight matrix; According to the multi-objective function of brightness error and power consumption cost, the strategy parameter adjustment amount is updated to obtain a brightness adjustment strategy.

9. The method for improving the brightness of a display screen according to claim 1, wherein: Combined with the process parameters affecting brightness involved in the comparative analysis process, the brightness adjustment strategy is optimized, including: Real-time acquisition of six process parameters: the voltage fluctuation amplitude of the circuit driving end, the pixel driving current stability coefficient, the spectral drift of the luminescent material, the light decay rate of the backlight module, the gradient change rate of the ambient light intensity, and the activation state of the defect set. This creates a parameter comparison matrix containing 27 feature dimensions. The dynamic time warping algorithm is used to perform similarity matching between the real-time parameter sequence and the benchmark parameter sequence under the historical optimal working conditions to identify abnormal parameter combination patterns. A compensation strategy library containing 15 adjustment factors is constructed for each type of abnormal pattern; Through real-time mapping of the parameter comparison matrix and the compensation strategy library, the corresponding strategy is automatically triggered when parameter anomalies are detected.

10. The method for improving the brightness of a display screen according to claim 1, wherein: Also includes: Distribute multiple brightness sensors at different locations on the display screen to collect brightness data of each area in real time; The control chip analyzes the collected multi-point brightness data to determine whether there is uneven brightness on the display screen; If it exists, start the detection of the display's hardware circuit and initial code.

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