LED screen energy-saving driving and dynamic display adaptation system fusing environment perception

Abstract

The invention discloses an LED screen energy-saving driving and dynamic display adaptation system fusing environment perception, and relates to the technical field of LED screen display adaptation. The system comprises an environment sensing module, a core control module, an energy-saving driving module, a display adaptation module and a power supply management module. Environmental parameters are collected and transmitted to the core control module, the core control module generates an energy-saving driving and display adaptation instruction, the display scene and energy-saving adaptation are evaluated according to the instruction, whether regulation and control are conducted or not is intelligently decided to achieve energy efficiency and image quality balance, and repair response is ensured by evaluating fault processing timeliness and deciding whether regulation and control are conducted or not. And the power supply management module supplies power to each module and the LED screen and adjusts output according to an instruction, so that the LED screen energy-saving driving and dynamic display adaptive responsiveness is improved, and the problem of low LED screen energy-saving driving and dynamic display adaptive responsiveness caused by adaptive imbalance of dynamic display and energy-saving driving and lagging of a fault detection mechanism in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of LED screen display adaptation technology, and in particular to an LED screen energy-saving driving and dynamic display adaptation system that integrates environmental perception. Background Technology

[0002] First, the display content and ambient light data are collected in real time by front-end sensors. For example, a high-precision ambient light sensor and an FPGA (Field-Programmable Gate Array) based content analyzer can quickly identify the brightness and color information of each area in the image and obtain the ambient illuminance.

[0003] Next, the core analysis and decision-making phase begins. Based on the collected display content and ambient light data, adaptive brightness adjustment algorithms and local dimming technology are applied. For example, for static or predominantly dark scenes, the driving current or duty cycle of the corresponding LED (Light Emitting Diode) pixels or areas is reduced; for bright areas, the necessary brightness is precisely maintained. Simultaneously, based on the overall grayscale distribution and refresh rate requirements of the displayed content, the scanning strategy and power supply voltage are dynamically adjusted. For instance, when displaying low-frame-rate text, it automatically switches to partition scanning and low-voltage power supply mode.

[0004] Then, in the display adaptation and signal reconstruction stage, the brightness data after being processed by the energy-saving algorithm needs to be corrected by programmable gamma correction and color consistency compensation technology. For example, the distributed driver IC (Integrated Circuit) will receive the processed signal and generate the final drive pulse in its internal PWM (Pulse Width Modulation) controller to achieve precise light control at the pixel level or zone level.

[0005] For example, Chinese invention patent CN108109580B discloses a parameter adaptation method, apparatus, device, and storage medium for an LED display screen, which includes: generating a parameter list set containing at least one set of parameter lists and establishing an index value that corresponds one-to-one with the parameter list; reading the parameter list in the parameter list set according to the index value and sending the parameter list to a controller, which is used to control the LED display screen; acquiring the display image of the LED display screen and determining the target parameter list according to the display state of the display image.

[0006] For example, Chinese invention patent CN120340408A discloses a method, device, and medium for dynamic adaptation of LED screen display content, including: collecting raw feature data of viewers within the radiation range of the LED screen through a multimodal biosensor; preprocessing the raw feature data and generating desensitized feature vectors through local anonymization; using a multimodal fusion model in an edge computing node to perform real-time analysis of the desensitized feature vectors and generate primary emotion tags; uploading the primary emotion tags and associated historical behavior data of viewers to a cloud platform to predict viewers' potential interests through a preset emotion depth analysis model, and generating a dynamic content adaptation strategy based on viewers' potential interests; and, based on the dynamic content adaptation strategy, calling display content matching the emotion tags from a pre-stored material library to perform low-latency rendering of the display content, and dynamically adjusting the color parameters and content display order of the LED display screen according to the emotion analysis results.

[0007] However, in the process of implementing the inventive technical solution in the embodiments of this application, it was found that the above-mentioned technology has at least the following technical problems: In existing technologies, firstly, there is an imbalance between dynamic display and energy-saving drive adaptation. The inherent flaws in the principle of PWM dimming technology and the insufficient optimization of its frequency and brightness adjustment matching logic make it easy for visual flicker that can be perceived by the human eye to occur when using this mainstream technology, especially in low-brightness dynamic display scenarios, due to improper frequency settings, which seriously damages the viewing experience. Secondly, the fixed brightness and refresh rate control curves cannot adapt to different application scenarios. For example, when playing high-speed dynamic videos, a high refresh rate is required to ensure visual smoothness, while low power consumption is required when displaying static text. This results in unnecessary high energy consumption in high refresh rate scenarios or performance redundancy and low energy efficiency in static scenarios. Finally, the fault detection mechanism is lagging behind and its processing seriously affects the integrity of dynamic display adaptation. The existing fault detection technology architecture has not been effectively integrated into the real-time autonomous control system of the driver chip. Its detection process relies heavily on the cumbersome multi-level data interaction and polling between the host computer, sending card, receiving card and driver chip. Not only is the response speed slow and it is difficult to achieve rapid and accurate positioning of faulty LEDs, but it also usually requires manual intervention, resulting in a significant time delay from the occurrence of the fault to its identification and processing. During this lag period, the fault persists and damages the display. Traditional handling methods often only send instructions from the host computer to simply reset the display data corresponding to the fault point to zero. This not only fails to maintain the optical consistency of the display area, but also causes obvious local black spots or brightness / color distortion in the image. There is a problem of low responsiveness of LED screen energy-saving drive and dynamic display due to the imbalance between dynamic display and energy-saving drive and the lag in fault detection mechanism. Summary of the Invention

[0008] To address the technical problems of low responsiveness in LED screen energy-saving drive and dynamic display adaptation caused by the imbalance between dynamic display and energy-saving drive adaptation and the lag in fault detection mechanisms in existing technologies, embodiments of the present invention provide an LED screen energy-saving drive and dynamic display adaptation system that integrates environmental perception. The technical solution is as follows: On one hand, an LED screen energy-saving drive and dynamic display adaptation system integrating environmental perception is provided. This system includes: an environmental perception module, a core control module, an energy-saving drive module, a display adaptation module, and a power management module. The environmental perception module collects environmental parameters of the LED screen's environment in real time and transmits these parameters to the core control module. The core control module receives the environmental parameters transmitted by the environmental perception module and generates corresponding energy-saving drive control commands and dynamic display adaptation commands. The energy-saving drive module receives the energy-saving drive control commands transmitted by the core control module, obtains energy-saving drive parameters, and determines the adaptive switching of display scenarios and the energy-saving drive adaptability based on these parameters. This characterizes the degree of adaptation of the energy-saving drive adjustment when the LED screen switches between different display scenarios. The system then determines whether to execute the energy-saving drive based on the adaptive switching of display scenarios and the energy-saving drive adaptability. Intelligent control achieves a precise, scenario-based dynamic balance between energy efficiency and display quality. If the balance is achieved, the system proceeds to the display adaptation module after control; otherwise, it proceeds directly to the display adaptation module. The display adaptation module receives dynamic display adaptation commands from the core control module, acquires detection and processing parameters, and obtains fault detection and processing timeliness based on these parameters. This timeliness characterizes the responsiveness of the LED screen after a fault occurs, enabling fault monitoring and processing to achieve display adaptation repair. Based on the fault detection and processing timeliness, the system determines whether to execute intelligent control to prevent fault accumulation and irreversible degradation of display quality due to response delays. If the control is achieved, the system proceeds to the power supply management module; otherwise, it proceeds directly to the power supply management module. The power supply management module outputs voltage and power supply according to the energy-saving drive control commands and dynamic display adaptation commands from the core control module.

[0009] Beneficial effects The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. By collecting environmental parameters of the LED screen's environment in real time, including at least ambient light intensity, ambient temperature, and the presence of human beings, the collected environmental parameters are transmitted to the core control module. Energy-saving drive parameters are obtained, and based on these parameters, the adaptive switching of display scenarios and the energy-saving drive adaptability are determined. This characterizes the degree of adaptability of the energy-saving drive adjustment when the LED screen switches between different display scenarios (such as high-speed dynamic video, static text, HDR high dynamic range display, etc.). Based on the adaptive switching of display scenarios and the energy-saving drive adaptability, it is determined whether to execute intelligent energy-saving drive control, achieving a precise, scenario-based dynamic balance between energy efficiency and display quality. If so, the system enters the display adaptation module after adjustment; otherwise, it directly enters the display... The adaptation module acquires detection and processing parameters, and obtains fault detection and processing timeliness based on these parameters. This timeliness characterizes the responsiveness of LED screens after a fault occurs, enabling fault monitoring and processing to achieve display adaptation and repair. Based on the fault detection and processing timeliness, it determines whether to perform intelligent adjustment of detection and processing timeliness to prevent fault accumulation and irreversible degradation of display quality due to response delays. If so, it enters the power management module after adjustment; otherwise, it directly enters the power management module. This solves the technical problem of low responsiveness of LED screen energy-saving drive and dynamic display adaptation caused by the imbalance between dynamic display and energy-saving drive adaptation and the lag in fault detection mechanism in existing technologies, thus improving the responsiveness of LED screen energy-saving drive and dynamic display adaptation.

[0010] 2. The horizontal scanning frequency is dynamically adjusted based on the brightness adjustment step size. By establishing an inverse feedback mechanism between the brightness adjustment step size and the horizontal scanning frequency, smooth brightness adjustment is achieved while effectively suppressing instantaneous current surges and power supply noise generated during large-scale brightness switching, thus improving the system's electromagnetic compatibility and drive reliability. The refresh cycle of the scene switching frame buffer data is dynamically adjusted based on the single-channel peak drive current. By sensing the single-channel peak drive current in real time and dynamically adjusting the frame buffer refresh cycle during scene switching, the instantaneous high current load is spread over a longer time window, thereby effectively suppressing power supply voltage drops, ground bounce noise, and electromagnetic interference. This improves the power integrity and long-term reliability of the display system under dynamic content, thereby enhancing the energy-saving drive and dynamic display adaptation responsiveness of the LED screen.

[0011] 3. The fault detection cycle is dynamically adjusted based on the parallelism of the detection channels. By quantitatively evaluating the parallel capability of the hardware detection channels and combining it with the real-time system load, the fault detection frequency and hardware resources are dynamically matched. This ensures that critical faults are detected in a timely manner while maximizing the optimization of the system resource consumption of the detection tasks, achieving the optimal balance between detection efficiency and system performance. The display adaptation and repair cycle threshold is dynamically adjusted based on the fault handling command issuance delay. By sensing the command issuance delay in real time and dynamically adjusting the repair cycle threshold, the intensity of the repair operation is precisely matched with the real-time processing capability of the system. This ensures that critical faults are repaired in a timely manner while effectively avoiding the system response deterioration and stability risks caused by the overload of repair commands, thereby improving the energy-saving drive and dynamic display adaptation responsiveness of the LED screen. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 A schematic diagram of the structure of the LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception provided in the embodiments of this application; Figure 2 A flowchart of the line scan frequency optimization of the LED screen energy-saving driving and dynamic display adaptation system that integrates environmental awareness, provided in an embodiment of this application. Figure 3 A flowchart for optimizing the repair cycle threshold of the LED screen energy-saving drive and dynamic display adaptation system that integrates environmental awareness, provided in an embodiment of this application. Detailed Implementation

[0014] The technical solution provided in this application will now be described with reference to the accompanying drawings.

[0015] To facilitate understanding of the embodiments of this application, the following points will be explained first: First, in this application, "at least one" means one or more, and "more than one" means two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates an "or" relationship between the preceding and following related objects, but it does not exclude the possibility of indicating an "and" relationship; the specific meaning can be understood in context. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c; a and b; a and c; b and c; or a and b and c. Here, a, b, and c can be single or multiple.

[0016] Second, the use of prefixes such as "first" and "second" in this application is solely for the purpose of distinguishing and describing different things belonging to the same category, and does not constrain the order, size, or quantity of things. For example, "first message" and "second message" are simply different messages, and there is no chronological, size, or priority relationship between them.

[0017] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0018] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0019] like Figure 1 The diagram shown is a structural schematic of an LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception provided in an embodiment of this application. It includes: an environmental perception module, a core control module, an energy-saving driving module, a display adaptation module, and a power supply management module.

[0020] The environmental sensing module is used to collect environmental parameters of the environment in which the LED screen is located in real time. The environmental parameters include at least the ambient light intensity, ambient temperature, and the presence of human beings. The collected environmental parameters are then transmitted to the core control module. The core control module receives the environmental parameters transmitted by the environmental sensing module and generates corresponding energy-saving drive control commands and dynamic display adaptation commands.

[0021] In this embodiment, the environmental perception module integrates a light intensity sensor, a temperature sensor, and a human presence sensor to collect real-time, multi-dimensional information about the physical environment and interactive scenarios of the LED display screen, providing the system with accurate external state perception input. These raw environmental parameters are reliably transmitted to the core control module, which, acting as the "brain," uses a built-in fusion analysis algorithm and a predefined environment-load-performance mapping model to analyze, correlate, and make decisions regarding this multi-source heterogeneous data in real time. It can identify complex scenarios such as "strong light environments require increased screen brightness to ensure visibility," "high temperature environments require activation of thermal protection strategies," "deep energy-saving mode can be entered when no one is watching," or "local image quality enhancement is required when a viewer's gaze is detected." Based on this deep understanding, the core control module dynamically generates two sets of key instructions: one is a control instruction for energy-saving drive, used to guide the optimization of parameters such as brightness, backlight partitioning, and scanning frequency, minimizing energy consumption while meeting visual requirements; the other is a control instruction for dynamic display adaptation, used to trigger fault detection strategy adjustments, image quality algorithm enhancement, or resource scheduling for repair. This closed-loop process from "environmental perception" to "intelligent decision-making" transforms the entire display system from static and passive into an intelligent entity capable of perceiving the environment, understanding intentions, and proactively optimizing its own behavior and energy consumption. This lays a crucial foundation for scenario perception and strategy planning, enabling the precise and efficient execution of subsequent modules, and fundamentally improves the system's environmental adaptability, energy efficiency, and user experience.

[0022] The energy-saving drive module is electrically connected to the LED light-emitting array of the LED screen. It is used to receive energy-saving drive control commands transmitted by the core control module, obtain energy-saving drive parameters, and obtain display scene adaptive switching and energy-saving drive adaptability based on the energy-saving drive parameters. This is used to characterize the degree of adaptability of energy-saving drive adjustment when the LED screen switches between different display scenes (such as high-speed dynamic video, static text, HDR high dynamic range display, etc.). Based on the display scene adaptive switching and energy-saving drive adaptability, it determines whether to execute intelligent energy-saving drive control, realizing a precise and scene-based dynamic balance between energy-saving efficiency and display quality. If yes, it enters the display adaptation module after control; otherwise, it directly enters the display adaptation module.

[0023] It should be noted that the energy-saving drive parameters include PWM dimming frequency, display scene switching response time, and scanning duty cycle. Among them, PWM dimming frequency refers to the periodic repetition frequency of the pulse dimming signal output by the LED driver circuit. By connecting an oscilloscope or logic analyzer to the PWM signal output pin of the LED driver chip, the pulse signal waveform is acquired in real time, the period of the waveform is measured, and the reciprocal of the period is recorded as the PWM dimming frequency; display scene switching response time refers to the total time from the recognition of the change in display scene type to the completion of energy-saving drive parameter adjustment and stable output adaptation state. The time of sending the scene switching trigger command and the time of the drive parameter adjustment being completed and the feedback of the stable signal are recorded. The difference between the two timestamps is extracted by the software log analysis tool to calculate the display scene switching response time; scan duty cycle refers to the core parameter of the LED screen in the progressive scan drive mode, which is the ratio of the conduction time of a single pixel in one scan cycle to the total scan cycle duration. By connecting an oscilloscope to the drive control pin of a certain row of the LED screen, the conduction signal waveform of that row is acquired, the conduction time in a single scan cycle is measured to the total scan cycle duration, and the ratio of the conduction time to the total scan cycle duration is recorded as the scan duty cycle.

[0024] The dimming frequency scaling factor is interacted with the ratio analysis results of the PWM dimming frequency and the dimming frequency reference value to obtain the dimming frequency influence component; the response time scaling factor is interacted with the ratio analysis results of the response time reference value and the display scene switching response time to obtain the response time influence component; the scan duty cycle scaling factor is interacted with the ratio analysis results of the scan duty cycle reference value and the scan duty cycle to obtain the scan duty cycle influence component; the dimming frequency influence component, the response time influence component, and the scan duty cycle influence component are superimposed to obtain the display scene adaptive switching and energy-saving drive adaptability. The specific constraint expression for obtaining the display scene adaptive switching and energy-saving drive adaptability is as follows: ; In the formula, P represents the adaptive switching of display scenes and the adaptability of energy-saving drive; This represents the dimming frequency scaling factor obtained from the dynamic display adaptation database; This represents the response time scaling factor obtained from the dynamic display adaptation database; This represents the scan duty cycle scaling factor obtained from the dynamic display adaptation database; This indicates the dimming frequency reference value obtained from the dynamic display adaptation database; This indicates a response time reference value obtained from the dynamic display adaptation database; This represents the scan duty cycle reference value obtained from the dynamic display adaptation database; R represents the PWM dimming frequency; Y represents the display scene switching response time; and T represents the scan duty cycle.

[0025] It's important to understand that PWM dimming frequency, display scene switching response time, and scan duty cycle are not independent. In LED display design, they form a mutually restrictive triangular relationship. Adjusting any one of them will directly or indirectly affect the selection of the other two parameters and the final system performance. Specifically: a higher scan duty cycle requires a longer single-line illumination time, limiting the upper limit of the PWM dimming frequency; a lower PWM dimming frequency means that the brightness or current adjustment commands can be executed and take effect with finer time granularity, resulting in a shorter display scene switching response time. A higher scan duty cycle means that each line is illuminated for a longer time within a frame, thus extending the display scene switching response time. Meanwhile, there is a positive correlation between PWM dimming frequency and the adaptability of adaptive switching of display scenes and energy-saving drive. The higher the PWM dimming frequency, the smoother and faster the brightness rise can be when switching scenes (such as suddenly switching from a dark scene to a bright HDR scene), reducing visual discomfort and lag caused by brightness jumps, and the higher the adaptability of adaptive switching of display scenes and energy-saving drive. There is a negative correlation between display scene switching response time and the adaptability of adaptive switching of display scenes and energy-saving drive. The longer the display scene switching response time, the more likely a lag state will occur where "the scene has been switched but the parameters have not been adjusted", resulting in continuous high energy consumption and stuttering screen transitions, and the lower the adaptability of adaptive switching of display scenes and energy-saving drive. There is also a negative correlation between scanning duty cycle and the adaptability of adaptive switching of display scenes and energy-saving drive. The higher the scanning duty cycle, the longer the average power-on time of the screen per unit time, the higher the proportion of ineffective energy consumption, and the longer the time for collaborative calibration of parameter adjustment, the lower the adaptability of adaptive switching of display scenes and energy-saving drive.

[0026] Furthermore, the specific steps for determining whether to implement energy-saving drive intelligent control are as follows: If the adaptive switching of the display scene and the compatibility of the energy-saving drive are greater than or equal to the reference value of the energy-saving drive compatibility, then the intelligent control of the energy-saving drive will not be executed. Otherwise, the intelligent control of the energy-saving drive will be executed according to the drive compatibility deviation. The drive compatibility deviation represents the negative difference between the adaptive switching of the display scene and the compatibility of the energy-saving drive and the reference value of the energy-saving drive compatibility. The intelligent control of the energy-saving drive includes optimization of the line scan frequency and optimization of the refresh cycle.

[0027] It is necessary to understand that, such as Figure 2The diagram shown is a flowchart of the line scan frequency optimization process of the LED screen energy-saving drive and dynamic display adaptation system with integrated environmental perception provided in this application embodiment. Specifically, the process involves: first, obtaining the target and current brightness values, calculating the difference, and mapping it to obtain the brightness adjustment step size. Then, depending on the range of this step size (greater than the upper threshold, less than the lower threshold, or within the threshold range), different control branches are entered: in the large adjustment stage, the frequency attenuation factor is obtained by querying the mapping table using the step size offset and drive adaptation deviation, reducing the line frequency to suppress current surges; in the fine adjustment stage, the frequency gain factor is obtained by using the step size correction and drive adaptation deviation, increasing the line frequency to accelerate response; if within a reasonable range, the current line frequency is maintained. Finally, under the determined target line scan frequency, the system gradually adjusts the PWM duty cycle until the brightness difference converges, completing an adaptive brightness adjustment that balances smoothness, energy efficiency, and reliability.

[0028] It should be further explained that the specific process for optimizing the row scan frequency is as follows: The target brightness value and the current brightness value of the display unit are obtained, the absolute difference of brightness is calculated, the absolute difference of brightness is input into a predefined step-difference mapping table, and the corresponding brightness adjustment step value is output. The mapping relationship is configured as follows: the larger the absolute difference of brightness, the larger the mapped brightness adjustment step value, so as to achieve rapid brightness convergence; the smaller the absolute difference of brightness, the smaller the mapped brightness adjustment step value, so as to achieve fine brightness fine adjustment.

[0029] Establish an inverse dynamic correlation rule between the brightness adjustment step size and the horizontal scanning frequency. The specific inverse dynamic correlation rule is as follows: When the brightness adjustment step size exceeds the upper limit threshold, it is determined to be a large brightness adjustment phase. The step size offset and drive adaptability deviation are input into a predefined step size-frequency mapping table, and the corresponding horizontal scanning frequency attenuation factor is output. The current horizontal scanning frequency is combined with the horizontal scanning frequency attenuation factor to obtain the target horizontal scanning frequency. This optimizes power efficiency and ensures the reliability of the drive circuit while suppressing the maximum current surge. The step size offset represents the positive difference between the brightness adjustment step size and the upper limit threshold. This optimizes power efficiency and ensures the operational reliability of the drive circuit while suppressing the maximum current surge and power supply noise.

[0030] Line scan frequency optimization also includes: When the brightness adjustment step size is less than the lower threshold, it is determined to be in the fine brightness adjustment stage. The step size correction amount and the drive adaptation deviation amount are input into a predefined step size-frequency mapping table, and the corresponding line scan frequency gain factor is output. The current line scan frequency is combined with the line scan frequency gain factor to obtain the target line scan frequency, thereby shortening the recovery time of high dynamic performance and improving the smoothness and responsiveness of the overall visual experience. The step size correction amount represents the negative difference between the brightness adjustment step size and the lower threshold. This shortens the recovery time of high dynamic performance and improves the smoothness and responsiveness of the overall visual experience.

[0031] When the brightness adjustment step size is within the step size threshold range, it is determined to be in the normal adjustment stage. In order to maintain the stability of display timing and energy efficiency balance, the horizontal scanning frequency optimization is not performed, and the current horizontal scanning frequency is maintained. The step size threshold range represents the closed interval formed by the lower limit threshold and the upper limit threshold.

[0032] Under the dynamically adjusted line scanning frequency, according to the brightness adjustment step size, the pulse width modulation duty cycle of the pixel is gradually adjusted from the current brightness value to the target brightness value in each line scanning cycle until the absolute difference in brightness is less than the brightness difference convergence threshold, so as to complete the brightness adjustment process, thereby completing a smooth, efficient and electrically optimized brightness adjustment process.

[0033] In this embodiment, by establishing an inverse dynamic correlation rule between the brightness adjustment step size and the horizontal scanning frequency, a systematic optimization of electrical performance and visual experience during brightness adjustment is achieved. First, during the large-amplitude brightness adjustment phase, the horizontal scanning frequency attenuation factor is jointly determined by the step size offset and the drive adaptation deviation, effectively suppressing the risks of power supply voltage drops, electromagnetic interference, and thermal stress caused by drastic current changes, thus optimizing overall energy efficiency while ensuring the reliability of the drive circuit. Second, during the fine-tuning brightness adjustment phase, the horizontal scanning frequency gain factor is jointly determined by the step size correction and the drive adaptation deviation, intelligently and smoothly restoring to a high refresh rate state, significantly shortening the recovery delay of high dynamic display performance and improving the real-time performance and smoothness of visual response. For regular brightness adjustment, a stable horizontal scanning frequency is maintained to avoid unnecessary timing disturbances. Finally, under the dynamically adapted horizontal scanning frequency, the system precisely adjusts the pixel pulse width modulation duty cycle according to a step-by-step strategy until the brightness converges. The entire mechanism works synergistically to ensure smooth and precise brightness adjustment while systematically taking into account power integrity, electromagnetic compatibility, optimal energy efficiency, and a comprehensive improvement in visual experience.

[0034] It should be further explained that the specific process for optimizing the refresh cycle is as follows: The system monitors and samples the drive current value of each display drive channel in real time within each predetermined time window, identifies and records the instantaneous peak drive current of each drive channel, obtains the global maximum single-channel peak drive current value among all channels within the current predetermined time window, and inputs the global maximum single-channel peak drive current value into a predefined peak current-load level mapping table. The mapping relationship maps the continuous global maximum single-channel peak drive current value to discrete load levels, including low load, medium load, high load, and overload.

[0035] The predefined load level-refresh cycle mapping table is queried based on the load level and driver adaptability deviation. The corresponding target frame buffer data refresh cycle is output. The strategy is configured such that the higher the load level, the longer the corresponding frame buffer data refresh cycle value, i.e., the frequency of refreshing frame buffer data is reduced. This spreads the instantaneous high current load over a longer time window, suppressing current surges at the data source.

[0036] The specific steps to reduce the frequency of refreshing frame buffer data are as follows: If the load level is low, refresh cycle optimization will not be performed, and the current frame buffer data refresh cycle will be maintained.

[0037] If the load level is medium load, the medium load and driver compatibility deviation are input into a predefined load level-refresh cycle mapping table, and the corresponding refresh cycle adjustment factor is output. The current frame buffer data refresh cycle is combined with the refresh cycle adjustment factor to obtain the target frame buffer data refresh cycle, which matches the current spike suppression strength, thereby preventing potential risks under performance and reliability boundary conditions. This achieves a current spike suppression strength that matches the hardware state, preventing potential risks under performance and reliability boundary conditions.

[0038] If the load level is high, the high load and drive adaptability deviation are input into a predefined load level-refresh cycle mapping table, and the corresponding refresh cycle gain factor is output. The current frame buffer data refresh cycle is combined with the refresh cycle gain factor to obtain the target frame buffer data refresh cycle, effectively avoiding irreversible damage or functional failure caused by instantaneous overload. This is achieved by using a doubling cycle extension to forcibly smooth the current, effectively avoiding irreversible damage or functional failure caused by instantaneous overload.

[0039] If the load level is overload, a display load over-limit warning signal is sent to the display controller of the graphics processing unit.

[0040] In this embodiment, by capturing the global maximum single-channel peak drive current in real time and mapping it to four load levels, accurate perception and classification of the instantaneous electrical load of the display system are achieved. Based on this, and combined with the real-time hardware status represented by the drive adaptability deviation, the frame buffer data refresh cycle is dynamically adjusted, constructing an intelligent control mechanism to suppress current surges from the data source. Under low load, high data throughput is maintained to ensure real-time display performance; under medium load, the refresh cycle is moderately increased based on the hardware status to achieve matched current spike suppression and prevent reliability boundary risks; under high load, the refresh cycle is significantly extended through a gain factor, forcibly diluting the current load and effectively avoiding irreversible hardware damage that may be caused by instantaneous overload; under overload, not only is local limit cycle control implemented, but a warning is also sent to the graphics processor to trigger system-level collaborative load reduction. This multi-level response strategy systematically balances data refresh rate and electrical stress during high-load events such as scene switching, fundamentally suppressing power supply voltage drops, ground bounce noise, and thermal stress accumulation, comprehensively improving the power integrity, electromagnetic compatibility, and long-term operational reliability of the display system under dynamic content.

[0041] The display adaptation module communicates with the display control unit of the LED screen. It receives dynamic display adaptation commands transmitted by the core control module, obtains detection and processing parameters, and obtains fault detection and processing timeliness based on the detection and processing parameters. This timeliness is used to characterize the responsiveness of the LED screen after a fault occurs, and to perform fault monitoring and processing to achieve display adaptation repair. Based on the fault detection and processing timeliness, it determines whether to perform intelligent adjustment of detection and processing timeliness to prevent fault accumulation and irreversible degradation of display quality caused by response delay. If so, it enters the power supply management module after adjustment; otherwise, it directly enters the power supply management module.

[0042] It should be explained that the detection and processing parameters include the energy-saving drive adaptability correction value, fault information reporting delay, and polling cycle duration. The energy-saving drive adaptability correction value refers to the value of the newly acquired adaptive switching of the display scene and the energy-saving drive adaptability if energy-saving drive intelligent control is executed; otherwise, the current adaptive switching of the display scene and the energy-saving drive adaptability are used. The fault information reporting delay refers to the time interval between the detection of a fault and the successful transmission of the fault information to the upper-level management node (such as a server or maintenance platform). The difference between the timestamp of the fault message received and the timestamp of fault detection recorded in the local log system of the faulty device is used as the fault information reporting delay. The polling cycle duration refers to the time interval during which the upper-level management node / server actively initiates a status query request to the monitored device. The polling cycle duration can be obtained by directly reading the field values ​​in the corresponding configuration file.

[0043] The compatibility ratio factor is interleaved with the ratio analysis results of the energy-saving drive compatibility correction value and the compatibility reference value to obtain the compatibility influence component; the reporting delay ratio factor is interleaved with the ratio analysis results of the reporting delay reference value and the fault information reporting delay to obtain the reporting delay influence component; the polling cycle duration ratio factor is interleaved with the ratio analysis results of the polling cycle duration reference value and the polling cycle duration to obtain the polling cycle duration influence component; the compatibility influence component, the reporting delay influence component, and the polling cycle duration influence component are superimposed to obtain the fault detection and handling timeliness. The specific constraint expression for the fault detection and handling timeliness is as follows: ; In the formula, Q represents the timeliness of fault detection and handling; This indicates the compatibility scaling factor obtained from the dynamic display adaptation database; This indicates the reporting delay ratio factor obtained from the dynamic display adaptation database; This represents the polling cycle duration ratio factor obtained from the dynamic display adaptation database; This indicates the compatibility reference value obtained from the dynamic display adaptation database; This indicates the reporting delay reference value obtained from the dynamic display adaptation database; This represents the polling cycle duration reference value obtained from the dynamic display adaptation database; F represents the energy-saving drive adaptation correction value; A represents the fault information reporting delay; and H represents the polling cycle duration.

[0044] It's important to understand that a longer polling cycle results in a larger time window for detecting faults. After a fault occurs, it must wait for the next polling cycle to start before it can be identified and reported, leading to a longer delay in fault information reporting. A longer polling cycle also means a longer interval between the occurrence and discovery of a fault. During this period, the faulty area will continuously damage the display, and the driver system may maintain a high-power operation to compensate for the display effect. Furthermore, the delay in issuing fault handling commands increases, resulting in untimely parameter adjustments and a smaller energy-saving driver adaptation correction value. A longer fault information reporting delay means the fault persists for a longer period, causing not only localized image distortion but also forcing the driver system to maintain a suboptimal energy consumption state, further reducing the energy-saving driver adaptation correction value. Meanwhile, there is a positive correlation between the energy-saving drive adaptability correction value and the timeliness of fault detection and processing. The higher the energy-saving drive adaptability correction value, the faster the fault can be identified and located and repaired, the shorter the fault duration, and the higher the timeliness of fault detection and processing. There is a negative correlation between the fault information reporting delay and the timeliness of fault detection and processing. The longer the fault information reporting delay, the more the fault will persist without intervention, which not only prolongs the time of image distortion, but also causes the overall processing flow to lag, significantly increasing the time of the entire process, and the lower the timeliness of fault detection and processing. There is also a negative correlation between the polling cycle length and the processing timeliness. The longer the polling cycle length, the more likely the fault will have to wait for the next polling to be discovered, which significantly increases the lag time of fault identification, directly prolonging the time of the entire process, and the lower the timeliness of fault detection and processing.

[0045] Furthermore, the specific steps for determining whether to implement intelligent control over the timeliness of detection and processing are as follows: If the timeliness of fault detection and handling is greater than or equal to the reference value of handling timeliness, then intelligent control of detection and handling timeliness will not be executed. Otherwise, intelligent control of detection and handling timeliness will be executed based on the deviation of handling timeliness. The deviation of handling timeliness represents the negative difference between the timeliness of fault detection and handling and the reference value of handling timeliness. Intelligent control of detection and handling timeliness includes optimization of fault detection cycle and optimization of repair cycle threshold.

[0046] It should be further explained that the specific steps for optimizing the fault detection cycle are as follows: The parallelism of the built-in fault detection channels in the driver chip is obtained. The parallelism of the detection channels is defined as the number of LEDs that the driver chip can monitor simultaneously. If the parallelism of the detection channels is within the parallelism threshold range, fault detection cycle optimization is not performed, and the current fault detection cycle is maintained. The parallelism threshold range represents the closed interval formed by the lower and upper limits of the parallelism threshold. This is done to maintain the stability of the detection rhythm and avoid unnecessary control overhead.

[0047] If the parallelism of the detection channel is less than the lower limit threshold, the processing timeliness deviation and the parallelism deviation are input into a predefined parallelism-detection cycle mapping table. The corresponding detection cycle adjustment factor is output, and the detection cycle adjustment factor is interacted with the current fault detection cycle to obtain the target fault detection cycle. This compensates for the delay in average fault detection time caused by the increased time of a single detection. The parallelism deviation represents the negative difference between the parallelism of the detection channel and the lower limit threshold. In this way, by increasing the detection frequency (shortening the cycle), the increased time of a single full inspection caused by insufficient hardware capabilities is compensated, thereby controlling the growth of the average fault detection time and ensuring fault response capability in scenarios with high timeliness requirements.

[0048] The optimization of the fault detection cycle also includes: If the parallelism of the detection channel exceeds the upper limit threshold, the processing timeliness deviation and parallelism correction are input into a predefined parallelism-detection cycle mapping table. The corresponding detection cycle reduction factor is output, and this factor is interacted with the current fault detection cycle to obtain the target fault detection cycle. This reduces the detection frequency and decreases the periodic resource consumption of the detection task. The parallelism correction represents the positive difference between the parallelism of the detection channel and the upper limit threshold. In this way, while meeting fault response requirements, the system rationally utilizes its spare hardware capacity. By reducing the detection frequency (extending the cycle), the periodic consumption of system bus, CPU computing power, and other resources by the detection task is reduced, thereby optimizing the overall system energy efficiency and resource utilization and freeing up resources for other high-priority tasks.

[0049] In this embodiment, intelligent dynamic optimization of the fault detection cycle is achieved by acquiring and evaluating the parallelism of the built-in detection channels of the driver chip. First, when the parallelism of the detection channels is within a preset ideal threshold range, the system determines that the hardware detection capability is well matched with the normal task load. To maintain the stability of the detection rhythm and avoid unnecessary control complexity, the current detection cycle remains unchanged. Second, when the parallelism of the detection channels is below the lower threshold, it indicates insufficient hardware parallel detection capability, and the time consumed per scan will increase significantly. At this time, the system combines the processing timeliness deviation (reflecting the urgency of the fault response) and the parallelism deviation (quantization capability gap), and obtains a detection cycle adjustment factor by querying a mapping table to shorten the detection cycle, thereby proactively increasing the detection frequency and compensating for the potentially extended average fault detection time due to hardware limitations, ensuring timely fault response in scenarios with high timeliness requirements. Conversely, when the parallelism of the detection channels is above the upper threshold, it indicates that the hardware detection capability is surplus. The system then combines the processing timeliness deviation and the parallelism correction (quantization capability surplus), and obtains a detection cycle adjustment factor by querying a mapping table to extend the detection cycle. This approach, without compromising critical fault response requirements, reasonably reduces the execution frequency of detection tasks, effectively minimizing their periodic occupation and consumption of system bus bandwidth and CPU computing resources. It optimizes overall system resource utilization and energy efficiency, freeing up valuable processing resources for other concurrent tasks. The entire mechanism, through precise perception of hardware capabilities and dynamic balancing of system requirements, intelligently schedules detection resources, ultimately achieving an optimal balance between detection efficiency and overall system performance while ensuring the core reliability of fault detection.

[0050] It is necessary to understand that, such as Figure 3 The diagram shows a flowchart of the repair cycle threshold optimization process for the LED screen energy-saving drive and dynamic display adaptation system with integrated environmental awareness provided in this application embodiment. The specific process is as follows: First, the real-time instruction issuance delay is obtained and compared with a preset reference value. If the delay does not exceed the reference value, it indicates that the system response capability meets the current requirements, and the existing repair cycle threshold remains unchanged to maintain strategy stability. If the delay exceeds the reference value, a dynamic adjustment branch is entered: First, the offset of the delay exceeding the reference value is calculated, and combined with the processing timeliness deviation reflecting the urgency of the task; these two parameters are input into a predefined issuance delay-cycle threshold mapping table for querying, and a threshold gain factor is output; finally, the current repair cycle threshold is multiplied by this gain factor to obtain a new target threshold. This mechanism aims to actively extend the repair cycle and implement source flow limiting on the repair instruction stream, thereby matching the actual processing capability of the system, ensuring that high-priority tasks are responded to while preventing system response deterioration due to instruction backlog.

[0051] It should be further explained that the specific steps for optimizing the repair cycle threshold are as follows: If the delay in issuing the fault handling instruction is less than or equal to the reference value for the delay, the repair cycle threshold optimization will not be performed, and the current display adaptation repair cycle threshold will be maintained.

[0052] If the delay of issuing a fault handling command exceeds the reference value, the delay offset and the processing timeliness deviation are input into a predefined delay-cycle threshold mapping table. The corresponding repair cycle threshold gain factor is output, and the current display adaptation repair cycle threshold is interacted with the repair cycle threshold gain factor to obtain the target display adaptation repair cycle threshold. This achieves cumulative, deep rate limiting that matches the continuous load. The delay offset represents the positive difference between the fault handling command issuance delay and the reference value. First, by using proportional control based on the delay exceeding the limit, negative feedback rate limiting is implemented at the source of the repair command stream to quickly break the vicious cycle of "command generation rate exceeding processing rate," providing a critical time window for the system to recover its processing capacity and preventing local delays from evolving into systemic lag or failure. Second, by introducing the dimension of processing timeliness deviation, the control becomes context-aware: under system pressure, only the minimum necessary rate limiting is implemented for high-urgent tasks (such as safety-critical displays) to ensure their responsiveness, while stricter rate limiting is implemented for non-urgent tasks. Ultimately, the mechanism achieves cumulative, deep rate limiting that matches continuous load and task priority. While forcibly ensuring the basic stability of the system, it maximizes the responsiveness of high-priority fault repair tasks, thereby optimizing the adaptive balance between system stability and service quality under complex load conditions.

[0053] In this embodiment, an intelligent mechanism for adaptively adjusting the display to match the repair cycle threshold is constructed by real-time monitoring of the fault handling command issuance delay and comparing it with a preset reference value. First, when the delay is at or below the reference value, it indicates that the system's processing capacity is sufficient and repair commands are flowing smoothly. At this time, the system maintains the existing threshold unchanged, avoiding the complexity and uncertainty introduced by unnecessary adjustment actions, and ensuring the continuity and predictability of the repair strategy in a stable state. Second, and this is the core of the solution, when the delay exceeds the reference value, it indicates that the system's processing capacity is insufficient to handle the current repair load, and there is a risk of command backlog. At this time, the system quantifies the specific magnitude of the delay exceeding the standard as a "deployment delay offset," and combines it with a "processing timeliness deviation" reflecting the urgency of the current task repair. By querying a predefined joint mapping table, a "repair cycle threshold gain factor" is output. This factor is multiplied by the current threshold to generate a new, longer target threshold. This process achieves two key optimizations: First, it forms a negative feedback control loop, forcibly reducing the frequency of repair operations allowed per unit time by instantly increasing the threshold. This "rate limiting" of the repair command flow at the source quickly alleviates pressure on downstream processing paths, breaks the vicious cycle of "instruction backlog - increased latency," and effectively prevents local performance degradation from escalating into system-level lag or failure, thus providing a crucial time window for system stability recovery. Second, by introducing a "processing timeliness deviation," the control strategy gains context-aware differentiation capabilities: for highly urgent critical repair tasks, the system selectively applies a smaller threshold gain to ensure responsiveness under system pressure; while for non-urgent repair tasks, a larger rate limit can be implemented. This priority-based hierarchical control ensures that the quality of critical services is not sacrificed while overall system stability is guaranteed. Ultimately, through continuous latency monitoring and dynamic adjustment, the entire mechanism can achieve cumulative, deep rate limiting that precisely matches the system's continuous load state and task priorities. In this way, it intelligently balances repair response capability and overall system stability in complex and ever-changing operating environments, significantly improving the robustness and overall performance of the display adaptation and repair subsystem under high load or abnormal conditions.

[0054] The power supply management module consists of an environmental sensing module, a core control module, an energy-saving drive module, a display adaptation module, and an LED screen power supply module. It is used to output voltage and power supply according to the energy-saving drive control instructions and dynamic display adaptation instructions from the core control module.

[0055] In this embodiment, energy-saving drive control commands and dynamic display adaptation commands are received from the core control module. Based on this high-level decision information, the voltage and power supply output to the environmental sensing module, core control module, energy-saving drive module, display adaptation module, and LED screen itself are precisely and dynamically adjusted. This mechanism achieves closed-loop coordination between system-level energy supply and functional requirements: First, by responding to energy-saving drive commands, it dynamically reduces the power supply voltage or power of relevant modules and LED screen when the display load is low or in energy-saving mode, thereby directly reducing the static and dynamic power consumption of the system and improving overall energy efficiency. Second, by responding to dynamic display adaptation commands, it can provide sufficient and stable power guarantee when the system performs high-intensity fault repair, rapid scene switching, or needs to improve display performance, ensuring that critical operations are not constrained by power supply capacity. More importantly, as a centralized controlled power node, this module can intelligently allocate and adjust the power supply strategy according to the real-time working status of each module (such as the energy-saving drive module performing a wide range of brightness adjustment, and the display adaptation module handling sudden failures) and the instantaneous load demand of the LED screen. This avoids problems such as local voltage drops, power supply noise interference, or low efficiency that may occur under traditional fixed power supply methods. From the perspective of energy supply, it ensures the stability, reliability, and optimal energy efficiency of the entire system operation, which is the physical basis for the efficient and reliable operation of the entire integrated sensing and intelligent control system.

[0056] The various features and processes described above can be used independently of each other or can be combined in various ways. All possible combinations and sub-combinations are intended to fall within the scope of this disclosure. Furthermore, certain method or process blocks may be omitted in some embodiments. The methods and processes described herein are not limited to any particular order, and the blocks or states associated with them may be performed in other suitable orders. For example, the described blocks or states may be performed in an order different from the order specifically disclosed, or multiple blocks or states may be combined in a single block or state. Example blocks or states may be performed serially, in parallel, or in some other manner. Blocks or states may be added to or removed from the disclosed example embodiments. The exemplary systems and components described herein may be configured differently from those described. For example, elements may be added to, removed from, or rearranged compared to the disclosed example embodiments.

[0057] The various operations of the example methods described herein can be performed at least in part by an algorithm. This algorithm can be contained in program code or instructions stored in memory (e.g., the aforementioned non-transitory computer-readable storage medium). Such an algorithm may include a machine learning algorithm. In some embodiments, the machine learning algorithm may not be explicitly programmed into the computer to perform the function, but can learn from training data to create a predictive model that performs the function.

[0058] The various operations of the example methods described herein can be performed, at least in part, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors can constitute the engine of a processor implementation that operates to perform one or more of the operations or functions described herein.

[0059] Similarly, the methods described herein can be implemented at least in part by a processor, where one or more specific processors are examples of hardware. For example, at least some operations of a method can be performed by one or more processors or an engine implemented by a processor. Furthermore, one or more processors can also be operated to support the performance of related operations in a “cloud computing” environment or as “Software as a Service” (SaaS). For example, at least some operations can be performed by a set of computers (as an example of a machine including processors), where these operations are accessible via a network (e.g., the Internet) and via one or more suitable interfaces (e.g., application programming interfaces (APIs)).

[0060] The performance of certain operations can be distributed across processors, residing not only within a single machine but also deployed across multiple machines. In some example embodiments, the processor or processor-implemented engine may reside in a single geographic location (e.g., within a home environment, office environment, or server cluster). In other example embodiments, the processor or processor-implemented engine may be distributed across multiple geographic locations.

[0061] In this specification, multiple instances may implement components, operations, or structures described as single instances. Although individual operations of one or more methods are shown and described as separate operations, one or more of the separate operations may be performed simultaneously and do not need to be performed in the order shown. Structures and functions presented as separate components in the example configuration may be implemented as composite structures or components. Similarly, structures and functions presented as single components may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of this document.

[0062] While an overview of the subject matter has been described with reference to specific example embodiments, various modifications and changes can be made to these embodiments without departing from the broader scope of embodiments of this disclosure. Such embodiments of the subject matter are referred to herein, individually or collectively, by the term "invention," and are used for convenience only and are not intended to limit the scope of this application to any single disclosure or concept, should more than one disclosure or concept be disclosed in fact.

[0063] The embodiments described herein have been described in sufficient detail to enable those skilled in the art to practice the disclosed teachings. Other embodiments may be used and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Therefore, the detailed description should not be construed as limiting, and the scope of the various embodiments is defined only by the appended claims and the full scope of their equivalents.

Claims

1. An LED screen energy-saving drive and dynamic display adaptation system integrating environmental perception, characterized in that, It includes an environmental sensing module, a core control module, an energy-saving drive module, a display adaptation module, and a power management module. The environmental sensing module is used to collect environmental parameters of the environment in which the LED screen is located in real time and transmit the collected environmental parameters to the core control module. The core control module is used to receive environmental parameters transmitted by the environmental sensing module and generate corresponding energy-saving drive control commands and dynamic display adaptation commands. The energy-saving drive module is used to receive energy-saving drive control commands transmitted by the core control module, obtain energy-saving drive parameters, and obtain display scene adaptive switching and energy-saving drive adaptability based on the energy-saving drive parameters. This is used to characterize the degree of adaptability of energy-saving drive adjustment when the LED screen switches between different display scenes. Based on the display scene adaptive switching and energy-saving drive adaptability, it is determined whether to perform intelligent energy-saving drive control, thus realizing a precise and scenario-based dynamic balance between energy-saving efficiency and display quality. If yes, it enters the display adaptation module after control; otherwise, it directly enters the display adaptation module. The display adaptation module is used to receive dynamic display adaptation instructions transmitted by the core control module, obtain detection and processing parameters, obtain fault detection and processing timeliness based on the detection and processing parameters, and characterize the responsiveness of the LED screen after a fault occurs, so as to realize display adaptation repair. Based on the fault detection and processing timeliness, it determines whether to perform intelligent adjustment of detection and processing timeliness to prevent fault accumulation and irreversible degradation of display quality caused by response delay. If yes, it enters the power supply management module after adjustment; otherwise, it directly enters the power supply management module. The power supply management module is used to output voltage and power supply according to the energy-saving drive control instructions and dynamic display adaptation instructions of the core control module.

2. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 1, characterized in that, The energy-saving drive parameters include PWM dimming frequency, display scene switching response time, and scanning duty cycle; By interacting the analysis results of the ratio of dimming frequency scaling factor to the ratio of PWM dimming frequency to dimming frequency reference value, the dimming frequency influence component is obtained; The response time scaling factor, the response time reference value, and the proportion analysis results of the display scene switching response time are interacted to obtain the response time influence component. By interacting the scan duty cycle scaling factor with the scan duty cycle reference value and the scan duty cycle percentage analysis results, the influence component of scan duty cycle is obtained. By superimposing the dimming frequency, response time, and scanning duty cycle components, the adaptive switching of display scenes and the adaptability of energy-saving drive are obtained. The specific steps for determining whether to perform energy-saving intelligent control are as follows: If the adaptive switching of the display scene and the adaptability of the energy-saving drive are greater than or equal to the reference value of the energy-saving drive adaptability, then the intelligent control of the energy-saving drive will not be executed. Otherwise, the intelligent control of the energy-saving drive will be executed according to the drive adaptability deviation. The drive adaptability deviation represents the degree of negative deviation between the adaptive switching of the display scene and the adaptability of the energy-saving drive and the reference value of the energy-saving drive. The intelligent control of the energy-saving drive includes optimization of the line scan frequency and optimization of the refresh cycle.

3. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 2, characterized in that, The specific process for optimizing the row scan frequency is as follows: The target brightness value and the current brightness value of the display unit are obtained, the absolute value difference of brightness is calculated, the absolute value difference of brightness is input into a predefined step-difference mapping table, and the corresponding brightness adjustment step value is output. The mapping relationship is configured as follows: the larger the absolute value difference of brightness, the larger the mapped brightness adjustment step value, so as to achieve rapid brightness convergence; the smaller the absolute value difference of brightness, the smaller the mapped brightness adjustment step value, so as to achieve fine brightness adjustment. Establish an inverse dynamic correlation rule between the brightness adjustment step size and the line scan frequency. Specifically, the inverse dynamic correlation rule is as follows: When the brightness adjustment step size exceeds the upper limit threshold, it is determined to be a large brightness adjustment stage. The step size offset and the drive adaptability deviation are input into a predefined step size-frequency mapping table, and the corresponding line scan frequency attenuation factor is output. The current line scan frequency is combined with the line scan frequency attenuation factor to obtain the target line scan frequency. This optimizes power efficiency and ensures the reliability of the drive circuit while suppressing the maximum current surge. The step size offset represents the degree of positive deviation between the brightness adjustment step size and the upper limit threshold.

4. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 3, characterized in that, The row scan frequency optimization also includes: When the brightness adjustment step size is less than the lower limit threshold, it is determined to be in the fine brightness adjustment stage. The step size correction amount and the drive adaptability deviation amount are input into the predefined step size-frequency mapping table, and the corresponding line scan frequency gain factor is output. The current line scan frequency is combined with the line scan frequency gain factor to obtain the target line scan frequency, thereby shortening the recovery time of high dynamic performance and improving the smoothness and responsiveness of the overall visual experience. The step size correction amount represents the degree of negative deviation between the brightness adjustment step size and the lower limit threshold. When the brightness adjustment step size is within the step size threshold range, the line scan frequency optimization is not performed, and the current line scan frequency is maintained. The step size threshold range represents the closed interval formed by the lower limit threshold and the upper limit threshold. Under the dynamically adjusted line scanning frequency, according to the brightness adjustment step size, the pulse width modulation duty cycle of the pixel is gradually adjusted from the current brightness value to the target brightness value in each line scanning cycle until the absolute difference in brightness is less than the brightness difference convergence threshold, so as to complete the brightness adjustment process.

5. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 2, characterized in that, The specific process for optimizing the refresh cycle is as follows: The system monitors and samples the drive current value of each display drive channel in real time within each predetermined time window, identifies and records the instantaneous peak drive current of each drive channel, obtains the global maximum single-channel peak drive current value among all channels within the current predetermined time window, and inputs the global maximum single-channel peak drive current value into a predefined peak current-load level mapping table. The mapping relationship maps the continuous global maximum single-channel peak drive current value to discrete load levels, including low load, medium load, high load, and overload. The predefined load level-refresh cycle mapping table is queried based on the load level and driver adaptability deviation, and the corresponding target frame buffer data refresh cycle is output. The strategy is configured such that the higher the load level, the longer the corresponding frame buffer data refresh cycle value, that is, the frequency of refreshing frame buffer data is reduced.

6. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 1, characterized in that, The specific steps for reducing the frequency of refreshing the frame cache data are as follows: If the load level is low, refresh cycle optimization will not be performed, and the current frame buffer data refresh cycle will be maintained. If the load level is medium load, the medium load and the drive adaptability deviation are input into the predefined load level-refresh cycle mapping table, and the corresponding refresh cycle adjustment factor is output. The current frame buffer data refresh cycle is combined with the refresh cycle adjustment factor to obtain the target frame buffer data refresh cycle and the matching current spike suppression strength, thereby preventing potential risks under performance and reliability boundary conditions. If the load level is high load, the high load and the driver adaptability deviation are input into the predefined load level-refresh cycle mapping table, and the corresponding refresh cycle gain factor is output. The current frame buffer data refresh cycle is combined with the refresh cycle gain factor to obtain the target frame buffer data refresh cycle, which effectively avoids irreversible damage or functional failure caused by instantaneous overload. If the load level is overload, a display load over-limit warning signal is sent to the display controller of the graphics processing unit.

7. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 1, characterized in that, The detection and processing parameters include energy-saving drive adaptability correction value, fault information reporting delay, and polling cycle duration. The results of the analysis of the proportion of adaptability ratio factor and adaptability correction value to adaptability reference value are interacted to obtain the adaptability influence component. The reporting delay ratio factor is interacted with the reporting delay reference value and the proportion analysis results of the fault information reporting delay to obtain the reporting delay impact component; By interacting the polling cycle duration ratio factor with the polling cycle duration reference value and the proportion analysis results of the polling cycle duration, the influence component of the polling cycle duration is obtained. The timeliness of fault detection and handling is obtained by superimposing the components of adaptability, reporting delay, and polling cycle duration. The specific steps for determining whether to perform intelligent control of detection and processing timeliness are as follows: If the timeliness of fault detection and handling is greater than or equal to the reference value of handling timeliness, then intelligent adjustment of the timeliness of detection and handling will not be performed. Otherwise, intelligent adjustment of the timeliness of detection and handling will be performed according to the deviation of the timeliness of handling. The deviation of the timeliness of handling indicates the degree of negative deviation between the timeliness of fault detection and handling and the reference value of handling timeliness. The intelligent adjustment of the timeliness of detection and handling includes optimization of the fault detection cycle and optimization of the repair cycle threshold.

8. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 7, characterized in that, The specific steps for optimizing the fault detection cycle are as follows: Obtain the parallelism of the built-in fault detection channel of the driver chip. The parallelism of the detection channel is defined as the number of LEDs that the driver chip can monitor simultaneously. If the parallelism of the detection channel is within the parallelism threshold range, the fault detection cycle optimization is not performed, and the current fault detection cycle is maintained. The parallelism threshold range represents the closed interval formed by the lower limit threshold and the upper limit threshold of the parallelism. If the parallelism of the detection channel is less than the lower limit threshold of parallelism, the processing timeliness deviation and the parallelism deviation are input into the predefined parallelism-detection cycle mapping table, and the corresponding detection cycle adjustment factor is output. The detection cycle adjustment factor is then interacted with the current fault detection cycle to obtain the target fault detection cycle, in order to compensate for the delay in average fault detection time caused by the increase in the time consumed by a single detection. The parallelism deviation represents the degree of negative deviation between the parallelism of the detection channel and the lower limit threshold of parallelism.

9. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 8, characterized in that, The optimization of the fault detection cycle also includes: If the parallelism of the detection channel is greater than the upper limit threshold of parallelism, the processing timeliness deviation and the parallelism correction amount are input into the predefined parallelism-detection cycle mapping table, and the corresponding detection cycle reduction factor is output. The detection cycle reduction factor is interacted with the current fault detection cycle to obtain the target fault detection cycle, thereby reducing the detection frequency and reducing the periodic occupation of resources by the detection task. The parallelism correction amount represents the degree of positive deviation between the parallelism of the detection channel and the upper limit threshold of parallelism.

10. The LED screen energy-saving driving and dynamic display adaptation system integrating environmental perception as described in claim 7, characterized in that, The specific steps for optimizing the repair cycle threshold are as follows: If the delay in issuing the fault handling instruction is less than or equal to the reference value for the delay, the repair cycle threshold optimization will not be performed, and the current display adaptation repair cycle threshold will be maintained. If the fault handling command issuance delay is higher than the issuance delay reference value, the issuance delay offset and the processing timeliness deviation are input into the predefined issuance delay-cycle threshold mapping table, and the corresponding repair cycle threshold gain factor is output. The current display adaptation repair cycle threshold is interacted with the repair cycle threshold gain factor to obtain the target display adaptation repair cycle threshold, so as to achieve cumulative deep rate limiting that matches the continuous load. The issuance delay offset represents the degree of positive deviation between the fault handling command issuance delay and the issuance delay reference value.

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