LED display screen intelligent control system and method

Abstract

The invention relates to the technical field of display screen control, and discloses an LED display screen intelligent control system and method, and the system comprises a module M1 which is an environment perception and collection module; the module M2 is a dynamic display optimization module; the module M3 is a multi-mode cooperative control module; the module M4 is an intelligent fault tolerance module; the module M5 is an energy management module; the method comprises the following steps: S1, collecting data in real time through an environment sensing and collecting module; s2, according to environmental parameters; s3, designing a redundant drive circuit; s4, realizing partition management of the display content through a multi-mode cooperative control module; s5, the intelligent fault tolerance module automatically switches a standby communication link; s6, the driving current is dynamically adjusted according to the environment temperature and the display load; according to the invention, the adjustment parameters can be preloaded to the display driving main control unit, so that rapid and accurate adaptive adjustment of the brightness, color temperature and color gamut of the display screen is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of display screen control, and particularly to an intelligent control system and method for an LED display screen. Background Art

[0002] The intelligent control system and method for an LED display screen are systems used to manage and control an LED display screen, which can achieve dynamic and intelligent management and control of the LED display screen. Currently, it is composed of multiple modular display arrays spliced together. In practical applications, the modular displays are prone to the fault of not displaying, thus affecting the overall display effect.

[0003] After retrieval, the patent with the Chinese patent number CN117975877A discloses an intelligent control system and method for an LED display screen, belonging to the technical field of display screen control systems, including an adjustable display component, a control component, a driving component, and a detection component; the adjustable display component is connected to the control component, the driving component, and the detection component, and the control component is connected to the driving component and the detection component; the adjustable component is used to dynamically adjust the position of the display screen; the control component controls the operation of the adjustable component through the driving component; the control component detects the adjustable state through the detection component. Through the above method, the invention realizes the dynamic movement adjustment of multiple display screens.

[0004] After retrieval, the patent with the Chinese patent number CN117014214B discloses an intelligent control system and control method for an LED display screen, including the setting of the intelligent terminal, cloud server, and LED display screen of the main control system, so as to realize the display of the picture or video of the intelligent terminal on the LED display screen through the cloud server; the setting of the detection server improves the number of devices supported by the cloud server; the setting of the first-level security guarantee module, second-level security guarantee module, and third-level security guarantee module of the security guarantee system can provide security guarantees for aspects such as the security of the cloud server, the security of business data, and the security of network transmission.

[0005] However, the above solutions do not fully consider the influence of variables such as ambient light intensity and temperature on the display effect. Changes in ambient light will cause deviations in the brightness and color temperature of the display screen, while poor heat dissipation of the module will lead to accelerated light decay. For example, when the light efficiency drops by 20%, the color temperature drift exceeds 500K, and the existing system lacks a real-time ambient parameter feedback and adaptive adjustment mechanism. In addition, during the display mode switching process, there are contradictions in the coordinated optimization of color gamut and power consumption. Although the above patent introduces a cloud server for data transmission, it does not solve the problems of color gamut distortion and steep increase in energy consumption during mode switching. Moreover, the existing control parameter optimization is mostly based on static models and does not combine the complexity of real-time display content, such as the dynamic range and refresh rate of images. The lack of dynamic adjustment will also affect the operation of the system. Based on this, the present invention designs an intelligent control system and method for LED display screens to solve the above problems. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent control system and method for LED display screens, which solves the problem of the lack of real-time ambient parameter feedback and adaptive adjustment mechanism in the background technology.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: An intelligent control system for LED display screens, comprising: Module M1: Ambient perception and acquisition module, including a light intensity sensor, a temperature sensor, and a humidity sensor, for real-time acquisition of ambient light intensity, the surface temperature of the display screen, and ambient humidity; integrating a wireless communication unit and used for data interaction with a cloud server; Module M2: Dynamic display optimization module, adaptively adjusting the brightness, color temperature, and color gamut of the display screen based on ambient parameters; adopting a redundant drive circuit design for supporting hot plugging and fault isolation of modular display units; Module M3: Multimodal collaborative control module, through a distributed control architecture, for realizing partition management of display content and cross-module synchronous refreshing; built-in image processing algorithms for dynamically adjusting the refresh rate and power consumption according to the type of display content; Module M4: Intelligent fault tolerance module, configured with a dual CAN bus communication protocol, for automatically switching to a standby communication link when detecting abnormal communication of modular units; integrating a pixel compensation unit for repairing the display missing of faulty modules through a neighboring pixel interpolation algorithm; Module M5: Energy management module, dynamically adjusting the drive current according to ambient temperature and display load, and reducing power consumption by combining wide voltage suppression technology; used for collaborative work with an external power management chip and completing energy efficiency hierarchical regulation.

[0008] Preferably, the environmental perception and acquisition module further includes a humidity sensor for real-time monitoring of the environmental humidity and combining with the temperature data to optimize the moisture-proof performance of the display screen; the wireless communication unit supports Wi-Fi 6 and ZigBee 3.0 protocols.

[0009] Preferably, the color temperature adjustment of the dynamic display optimization module adopts the CIE 1931 chromaticity space mapping algorithm and performs closed-loop feedback control through a PID controller; the dynamic display optimization module further includes an adaptive drive signal optimization algorithm for dynamically adjusting the PWM modulation frequency according to the ambient light intensity.

[0010] Preferably, the image processing algorithms of the multi-modal collaborative control module include: a dynamic range enhancement algorithm for enhancing the display contrast in low-light environments; a motion compensation algorithm for high refresh rate display of dynamic content; a content adaptive compression algorithm for real-time compression and decompression of dynamic content to reduce bandwidth occupancy and increase the display refresh rate.

[0011] Preferably, the redundant drive circuit design of the intelligent fault tolerance module includes at least two independent drive signal channels for automatically switching to the standby channel when the current deviation of the main channel exceeds the threshold; the intelligent fault tolerance module further includes a fault prediction algorithm for predicting potential faults and triggering the redundancy mechanism in advance by real-time monitoring of the working state of the modular unit.

[0012] Preferably, the energy management module further includes a dynamic power distribution algorithm for dynamically adjusting the power supply of each module according to the display load and the ambient temperature.

[0013] Preferably, an intelligent control method for an LED display screen includes the following steps: Step S1, real-time collecting ambient light intensity, temperature and humidity data through the environmental perception and acquisition module and uploading the data to the cloud server; Step S2, dynamically adjusting the brightness, color temperature and color gamut of the display screen according to the environmental parameters to achieve adaptive display optimization; Step S3, supporting hot plugging and fault isolation of the modular display unit through the redundant drive circuit design; Step S4, realizing partition management and cross-module synchronous refresh of the display content through the multi-modal collaborative control module and dynamically adjusting the refresh rate and power consumption; Step S5, when detecting abnormal communication of the modular unit, the intelligent fault tolerance module automatically switches to the standby communication link and repairs the display missing of the faulty module through the pixel compensation unit; Step S6, dynamically adjusting the drive current according to the ambient temperature and the display load, combining with the wide voltage suppression technology to reduce the power consumption, and working together with the external power management chip to achieve energy efficiency hierarchical control.

[0014] Preferably, in step S1, dynamic filtering processing is performed on the ambient light intensity data, the sliding window algorithm is used to eliminate instantaneous interference noise, and the edge computing node performs local preprocessing on the temperature and humidity data to generate a standardized environmental parameter packet; when interacting with the cloud server, the local clock source is synchronously calibrated, and the GPS or NTP protocol is used to achieve multi-terminal timestamp synchronization.

[0015] Preferably, in step S2, a preset optimization strategy library is matched based on the display content type. When dynamic video content is detected, the motion compensation algorithm is automatically enabled and the color gamut coverage rate is increased to the 98% NTSC standard. A brightness-color temperature mapping table is established according to historical environmental data, and the reinforcement learning model is used to predict the environmental change trend in the next 30 minutes, and the adjustment parameters are pre-loaded.

[0016] Preferably, in step S3, the driving signal phase locking mechanism is triggered during the hot plugging process, the physical location information of the new module is broadcast through the CAN bus, the topology structure diagram is automatically updated and the synchronous refresh timing is re-allocated; the residual charge of the driving signal of the fault isolation module is discharged, and the reverse pulse injection technology is used to avoid voltage fluctuations of adjacent modules; In step S4, the computing resources are allocated according to the dynamic complexity of the partition content. The low refresh rate mode is enabled for the text area, and the high refresh rate mode is enabled for the video area and the FPGA hardware acceleration resources are dynamically allocated; in the multi-screen collaboration scenario, the main screen parameters are used as the reference value, and the gamma correction coefficient of the slave screen is iteratively optimized through the gradient descent algorithm; In step S5, spatio-temporal correlation analysis is introduced during the pixel compensation process, a Markov chain model is constructed for continuous fault modules, the diffusion path is predicted, and the driving current of surrounding redundant pixels is enhanced in advance; In step S6, a power consumption-display quality trade-off model is established. When it is detected that the power supply is battery-powered, the content-aware compression algorithm is automatically enabled to reduce the bandwidth occupancy rate and maintain the PSNR value.

[0017] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: 1. In the present invention, by integrating an optical intensity sensor, a temperature sensor and a humidity sensor, environmental parameters are collected in real time, and the reinforcement learning model of the cloud server is combined to predict the environmental change trend. The present invention can pre-load the adjustment parameters to the display driving main control unit, so as to realize fast and accurate adaptive adjustment of the display screen brightness, color temperature and color gamut. This not only solves the problems of display screen brightness and color temperature deviation caused by environmental light changes, but also ensures the stability and consistency of the display effect in different environments.

[0018] 2. In the present invention, the dynamic display optimization module uses the CIE 1931 chromaticity space mapping algorithm for color temperature adjustment and realizes closed-loop feedback control through a PID controller, ensuring the accuracy and stability of color temperature adjustment. At the same time, the PWM modulation frequency is dynamically adjusted according to the ambient light intensity, further optimizing the display effect.

[0019] 3. In the present invention, the intelligent fault tolerance module is configured with a dual CAN bus communication protocol, which can automatically switch to the standby communication link when detecting abnormal communication of the modular unit, ensuring the continuous and stable operation of the system. At the same time, the integrated pixel compensation unit repairs the display missing of the faulty module through the adjacent pixel interpolation algorithm, further improving the display quality. The redundant drive circuit design supports the hot plugging and fault isolation of the modular display unit, enhancing the fault tolerance and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is the overall flowchart of the intelligent control system of the LED display screen of the present invention; Figure 2 is the detailed system flow chart of the present invention; Figure 3 is the flowchart of the steps of the intelligent control method of the LED display screen of the present invention; Figure 4 is the detailed step diagram of the control method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] Embodiment 1; Please refer to Figures 1-4 , in the embodiment of the present invention, an intelligent control system for an LED display screen includes: Module M1: Ambient perception and acquisition module, including a light intensity sensor, a temperature sensor, and a humidity sensor, for real-time acquisition of ambient light intensity, the surface temperature of the display screen, and ambient humidity; integrating a wireless communication unit and used for data interaction with a cloud server; Module M2: Dynamic display optimization module, adaptively adjusting the brightness, color temperature, and color gamut of the display screen based on environmental parameters; adopting a redundant drive circuit design for supporting hot plugging and fault isolation of modular display units; Module M3: Multimodal collaborative control module, which is used to achieve partition management of display content and cross-module synchronous refresh through a distributed control architecture; built-in image processing algorithms are used to dynamically adjust the refresh rate and power consumption according to the type of display content. Module M4: Intelligent fault tolerance module, configured with a dual CAN bus communication protocol, which is used to automatically switch to a backup communication link when abnormal communication of the modular unit is detected; integrated with a pixel compensation unit, which is used to repair the display loss of the faulty module through a neighboring pixel interpolation algorithm. Module M5: Energy management module, which dynamically adjusts the drive current according to the ambient temperature and display load, and combines wide voltage suppression technology to reduce power consumption; it is used to work with an external power management chip to complete energy efficiency grading control.

[0023] The environment perception and acquisition module also includes a humidity sensor, which is used to monitor the ambient humidity in real time and combine the temperature data to optimize the moisture-proof performance of the display screen; the wireless communication unit supports Wi-Fi 6 and ZigBee 3.0 protocols.

[0024] The color temperature adjustment of the dynamic display optimization module adopts the CIE 1931 chromaticity space mapping algorithm and performs closed-loop feedback control through a PID controller; the dynamic display optimization module also includes an adaptive drive signal optimization algorithm, which is used to dynamically adjust the PWM modulation frequency according to the ambient light intensity.

[0025] The image processing algorithms of the multimodal collaborative control module include: a dynamic range enhancement algorithm, which is used to enhance the display contrast in low-light environments; a motion compensation algorithm, which is used for high-refresh-rate display of dynamic content; a content adaptive compression algorithm, which is used for real-time compression and decompression of dynamic content to reduce bandwidth occupancy and increase the display refresh rate.

[0026] The redundant drive circuit design of the intelligent fault tolerance module includes at least two independent drive signal channels, which are used to automatically switch to the backup channel when the main channel current deviation exceeds the threshold; the intelligent fault tolerance module also includes a fault prediction algorithm, which is used to predict potential faults and trigger the redundancy mechanism in advance by real-time monitoring the working state of the modular unit.

[0027] The energy management module also includes a dynamic power distribution algorithm, which is used to dynamically adjust the power supply of each module according to the display load and ambient temperature.

[0028] The working principle of the embodiment of the present invention is as follows: The light intensity sensor, temperature sensor, and humidity sensor of the environmental perception and acquisition module M1 work simultaneously to collect environmental light intensity, surface temperature of the display screen, and environmental humidity data in real time. The dynamic display optimization module M2 receives the environmental parameter data from M1 and adaptively adjusts the brightness, color temperature, and color gamut of the display screen based on these data. Among them, the color temperature adjustment uses the CIE 1931 chromaticity space mapping algorithm and is controlled by a PID controller for closed-loop feedback to ensure the accuracy and stability of color temperature adjustment. At the same time, the adaptive drive signal optimization algorithm in M2 dynamically adjusts the PWM modulation frequency according to the environmental light intensity to optimize the display effect.

[0029] The multi-modal collaborative control module M3 realizes the partition management of display content and cross-module synchronous refresh through a distributed control architecture. The built-in image processing algorithm in this module dynamically adjusts the refresh rate and power consumption according to the type of display content. For example, the dynamic range enhancement algorithm improves the display contrast in low-light environments, the motion compensation algorithm ensures high refresh rate display of dynamic content, and the content adaptive compression algorithm performs real-time compression and decompression of dynamic content to reduce bandwidth occupancy and increase the display refresh rate.

[0030] The intelligent fault tolerance module M4 is configured with a dual CAN bus communication protocol to monitor the communication status of the modular unit in real time. When a communication anomaly is detected, it automatically switches to the standby communication link to ensure the normal operation of the system. At the same time, the integrated pixel compensation unit repairs the display missing of the faulty module through the adjacent pixel interpolation algorithm to further improve the display quality. The redundant drive circuit design in M4 includes at least two independent drive signal channels, and automatically switches to the standby channel when the current deviation of the main channel exceeds the threshold. In addition, the fault prediction algorithm predicts potential faults and triggers the redundancy mechanism in advance by monitoring the working status of the modular unit in real time.

[0031] The energy management module M5 dynamically adjusts the drive current according to the environmental temperature and display load, and combines wide voltage suppression technology to reduce power consumption. This module works in cooperation with an external power management chip to complete energy efficiency hierarchical regulation. The dynamic power distribution algorithm in M5 dynamically adjusts the power supply of each module according to the display load and environmental temperature to achieve reasonable distribution and efficient utilization of energy.

[0032] Embodiment 2; Please refer to Figures 1-4 , An intelligent control method for an LED display screen, including the following steps: Step S1, collect environmental light intensity, temperature, and humidity data in real time through the environmental perception and acquisition module, and upload the data to the cloud server; Step S2, dynamically adjust the brightness, color temperature, and color gamut of the display screen according to the environmental parameters to achieve adaptive display optimization; Step S3, through redundant drive circuit design, support hot plugging and fault isolation of modular display units; Step S4, through the multi-modal collaborative control module, achieve partition management of display content and cross-module synchronous refresh, and dynamically adjust the refresh rate and power consumption; Step S5, when detecting abnormal communication of modular units, the intelligent fault tolerance module automatically switches to the standby communication link, and repairs the display loss of the faulty module through the pixel compensation unit; Step S6, dynamically adjust the drive current according to the ambient temperature and display load, combine wide voltage suppression technology to reduce power consumption, and work with the external power management chip to achieve energy efficiency hierarchical control.

[0033] In step S1, perform dynamic filtering processing on ambient light intensity data, use the sliding window algorithm to eliminate instantaneous interference noise, and perform local preprocessing on temperature and humidity data through the edge computing node to generate a standardized ambient parameter packet; when interacting with the cloud server, synchronously calibrate the local clock source, and use the GPS or NTP protocol to achieve multi-terminal timestamp synchronization.

[0034] In step S2, match the preset optimization strategy library based on the display content type. When detecting dynamic video content, automatically enable the motion compensation algorithm and increase the color gamut coverage rate to the 98% NTSC standard, and establish a brightness-color temperature mapping table based on historical ambient data. Predict the ambient change trend in the next 30 minutes through the reinforcement learning model, and preload the adjustment parameters.

[0035] In step S3, trigger the drive signal phase locking mechanism during hot plugging, broadcast the physical location information of the new module through the CAN bus, automatically update the topology structure diagram and reallocate the synchronous refresh timing; discharge the residual charge of the drive signal of the fault isolation module, and use the reverse pulse injection technology to avoid voltage fluctuations of adjacent modules; In step S4, allocate computing resources according to the dynamic complexity of the partition content, enable the low refresh rate mode for the text area, enable the high refresh rate mode for the video area and dynamically allocate FPGA hardware acceleration resources; in the multi-screen collaborative scenario, use the main screen parameters as the reference value, and iteratively optimize the gamma correction coefficient of the slave screen through the gradient descent algorithm; In step S5, introduce spatio-temporal correlation analysis during pixel compensation, construct a Markov chain model for continuous faulty modules, predict the diffusion path and enhance the drive current of surrounding redundant pixels in advance; In step S6, establish a power consumption-display quality trade-off model. When detecting battery power supply, automatically enable the content-aware compression algorithm to reduce the bandwidth occupancy rate and maintain the PSNR value.

[0036] The working principle of the embodiments of the present invention is as follows: The adaptive filtering unit and the temperature and humidity compensation circuit of the light intensity sensor are built in the environmental perception module. The preprocessed environmental parameter packet is transmitted to the cloud decision-making engine via the time synchronization bus, and at the same time, the historical data comparison unit in the local cache is triggered to form an environmental feature vector. The cloud server activates the policy matcher by parsing the environmental vector, and sends the prediction parameter set generated by the reinforcement learning model to the display driver main control unit to complete the pre-adjustment of the brightness-color temperature mapping relationship.

[0037] At the physical drive layer, the redundant drive circuit adopts a multi-channel parallel architecture, and its signal phase-locked mechanism and topology management unit continuously monitor the device status message of the CAN bus. When a module hot plug and unplug event is detected, the phase locker immediately accesses the drive signal timing chain, and maintains the overall refresh synchronization by dynamically reconfiguring the PWM duty cycle distribution. At the same time, the topology reconstruction engine updates the display matrix parameters according to the coordinate identification of the newly added module. The fault isolation unit, through the coordinated action of the charge discharge loop and the reverse pulse suppressor, establishes an electrical isolation barrier within milliseconds to prevent the fault module from causing a cascading effect.

[0038] As the execution core of display optimization, the multi-modal control center internally constructs a dual logic unit of a partition resource scheduler and a cross-screen collaboration calculator. The former dynamically divides the refresh rate strategies of the text area and the video area according to the real-time load status of the FPGA hardware accelerator, and the latter uses the gradient correction engine to iteratively approximate the multi-screen gamma parameters to ensure color consistency. This center is also connected to the power consumption regulation unit, and through the cooperation of the dynamic scaling module of the drive current and the wide voltage suppressor, it realizes energy efficiency hierarchical output under the condition of maintaining the color gamut coverage rate.

[0039] As the exception handling center, the intelligent fault tolerance system includes two key components: a communication link switch and a pixel compensation engine. When the communication monitoring unit identifies packet loss, the link switch immediately activates the standby radio frequency channel and reconstructs the handshake protocol. During this period, the pixel compensator generates an interpolation pixel matrix based on the spatio-temporal correlation model, and fills the display gap through the drive current compensation circuit. For persistent faults, the Markov predictor calculates the potential diffusion area in advance, and commands the surrounding redundant pixel units to enter the over-drive state to construct a display buffer.

[0040] The overall operation of the system realizes closed-loop optimization through the energy efficiency-quality balance model, and the power management chip and the content compression engine form a joint control mechanism. In the battery-powered mode, the compression engine starts the multi-layer perceptron to extract the features of the display content, dynamically adjusts the compression rate threshold, and at the same time, the power manager synchronously adjusts the backlight voltage gradient to make the bandwidth occupancy rate and the power consumption curve match the power supply capacity. Each subsystem realizes a millisecond-level response through the shared state bus and the event trigger mechanism, and finally achieves the triple control objectives of environment adaptability, fault self-repair and energy efficiency self-optimization.

[0041] Example 3; Please refer to Figures 1-4 , in the embodiment of the present invention, a specific implementation scheme of an intelligent control system for an LED display screen is provided, and its working principle and key parameter dynamic linkage are as follows: The environmental perception and acquisition module monitors the environmental brightness in real time through a light intensity sensor, generates a standardized parameter packet in combination with temperature and humidity data, uploads it to the cloud after preprocessing by an edge computing node, the cloud server calls historical data to generate an environmental trend prediction model, predicts the light intensity change in the next 30 minutes through a reinforcement learning algorithm, controls the error rate within 5%, and issues the pre-adjustment parameters to the display driving main control unit.

[0042] The dynamic display optimization module adjusts the color temperature based on the predicted data using the CIE 1931 chromaticity space mapping algorithm, the closed-loop control response time ≤ 200 ms, and the color temperature deviation < 3%; at the same time, it dynamically adjusts the PWM modulation frequency according to the ambient light intensity, with a range of 1 - 4 kHz, to ensure smooth transition of the display brightness.

[0043] When a modular unit undergoes hot plugging, the redundant drive circuit synchronizes the drive signal of the new module within 200 ms through a phase locking mechanism and updates the display topology. If a communication anomaly is detected, the dual CAN bus switches to the standby link within ≤ 100 ms, and at the same time, the pixel compensation unit starts the adjacent interpolation algorithm to repair the display missing within 30 ms. For persistent faults, the system predicts the diffusion path through a Markov chain model, increases the drive current of the pixels around the faulty module by 15%, forms a dynamic compensation buffer zone, and prevents the spread of display faults.

[0044] The working principle of the embodiment of the present invention is: the multi-modal collaborative control module manages the refresh rate according to the content type in partitions. In the battery-powered mode, the content perception compression algorithm reduces the bandwidth occupancy rate by 30% - 70%, while maintaining PSNR ≥ 40 dB, and combines with the wide voltage suppression technology to increase the energy efficiency ratio by 20%. The energy management module monitors the temperature change in real time, reduces the module power supply by 10% for every 5°C increase, and realizes hierarchical energy efficiency regulation by dynamically adjusting the drive current (0.5A - 5A).

[0045] In the actual measurement of the system, the environmental adaptive adjustment response time ≤ 1 second, the communication fault switching success rate > 99.9%, the color temperature consistency error < 1.5%, the pixel repair rate reaches 98.7%, and the peak power consumption is reduced by 32%. Each module operates in coordination through a shared state bus and an event triggering mechanism to achieve closed-loop control of environmental adaptability, fault self-repair, and energy efficiency optimization.

[0046] Working principle: The adaptive optimization of the LED display is achieved through the integration of intelligent control systems and methods. The system includes an environmental perception module, a dynamic display optimization module, a multi-modal control module, an intelligent fault tolerance module, and an energy management module. Each module works in coordination: The environmental perception module collects light intensity, temperature, and humidity data in real time, preprocesses it through edge computing, uploads it to the cloud, predicts the environmental change trend through a reinforcement learning model, and pre-loads the adjustment parameters to the dynamic display optimization module; This module dynamically adjusts the brightness, color temperature, and color gamut based on environmental data, uses closed-loop control to ensure that the color temperature error < 3%, and at the same time supports module hot-swap and fault isolation through a redundant drive circuit. At the method level, the system executes a multi-modal collaborative control strategy, manages the refresh rate by zone (60Hz for text area / 120Hz for video area), dynamically allocates FPGA resources to optimize the display effect, and reduces bandwidth occupancy through content compression algorithms; When a communication anomaly is detected, the intelligent fault tolerance module switches to the backup link within ≤100ms, and combines adjacent pixel interpolation and drive current compensation to repair the display missing. The energy management module dynamically adjusts the drive current (0.5A - 5A) according to temperature and load, collaborates with wide-voltage suppression technology to reduce power consumption, and realizes energy efficiency hierarchical regulation. The system and method are linked to form a closed loop. The actual measurement shows that the adaptive adjustment response ≤ 1 second, the fault switching success rate > 99.9%, the peak power consumption is reduced by 32%, achieving the collaborative control goal of environmental adaptability, fault self-repair, and energy efficiency optimization.

[0047] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the invention. The scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent control system for LED display screen, characterized in that: include: Module M1: Environmental sensing and acquisition module, including light intensity sensor, temperature sensor and humidity sensor, used to collect ambient light intensity, display surface temperature and ambient humidity in real time; integrated wireless communication unit and used to interact with cloud server for data; Module M2: Dynamic display optimization module, which adaptively adjusts the brightness, color temperature and color gamut of the display screen based on environmental parameters; adopts redundant drive circuit design to support hot plugging and fault isolation of modular display units; Module M3: Multimodal collaborative control module, which uses a distributed control architecture to achieve partition management of display content and synchronized refresh across modules; built-in image processing algorithm to dynamically adjust refresh rate and power consumption according to the type of display content; Module M4: Intelligent fault-tolerant module, equipped with dual CAN bus communication protocol, used to automatically switch to the backup communication link when abnormal communication of modular units is detected; integrated pixel compensation unit, used to repair the display loss of the faulty module through the adjacent pixel interpolation algorithm; Module M5: Energy management module, dynamically adjusts the drive current according to the ambient temperature and display load, and combines wide voltage suppression technology to reduce power consumption; it is used to work with the external power management chip and complete energy efficiency graded regulation.

2. According to claim 1, the LED display intelligent control system is characterized by: The environmental perception and acquisition module also includes a humidity sensor for real-time monitoring of environmental humidity, and combining temperature data to optimize the moisture-proof performance of the display screen; the wireless communication unit supports Wi-Fi 6 and ZigBee 3.0 protocols.

3. The LED display intelligent control system according to claim 1, characterized in that: The color temperature adjustment of the dynamic display optimization module adopts the CIE 1931 color space mapping algorithm and performs closed-loop feedback control through a PID controller; the dynamic display optimization module also includes an adaptive drive signal optimization algorithm for dynamically adjusting the PWM modulation frequency according to the ambient light intensity.

4. The LED display intelligent control system according to claim 1, characterized in that: The image processing algorithms of the multimodal collaborative control module include: a dynamic range enhancement algorithm for improving display contrast in low-light environments; a motion compensation algorithm for high refresh rate display of dynamic content; and a content adaptive compression algorithm for real-time compression and decompression of dynamic content to reduce bandwidth occupancy and improve display refresh rate.

5. The LED display intelligent control system according to claim 1, characterized in that: The redundant drive circuit design of the intelligent fault-tolerant module includes at least two independent drive signal channels, which are used to automatically switch to the backup channel when the current deviation of the main channel exceeds a threshold value; The intelligent fault-tolerant module also includes a fault prediction algorithm for predicting potential faults and triggering a redundancy mechanism in advance by monitoring the working status of the modular units in real time.

6. The LED display intelligent control system according to claim 1, characterized in that: The energy management module also includes a dynamic power allocation algorithm for dynamically adjusting the power supply of each module according to the display load and the ambient temperature.

7. An intelligent control method for LED display screen, characterized in that: The following steps are involved: Step S1, collect ambient light intensity, temperature and humidity data in real time through the environment sensing and collection module, and upload the data to the cloud server; Step S2, dynamically adjusting the brightness, color temperature and color gamut of the display screen according to environmental parameters to achieve adaptive display optimization; Step S3, supporting hot plugging and fault isolation of modular display units through redundant drive circuit design; Step S4, realizing partition management of display content and cross-module synchronous refresh through the multi-modal collaborative control module, and dynamically adjusting the refresh rate and power consumption; Step S5, when a modular unit communication anomaly is detected, the intelligent fault tolerance module automatically switches to a backup communication link and repairs the display loss of the faulty module through the pixel compensation unit; Step S6, dynamically adjust the driving current according to the ambient temperature and display load, combine the wide voltage suppression technology to reduce power consumption, and work together with the external power management chip to achieve energy efficiency graded regulation.

8. The LED display intelligent control method according to claim 7, characterized in that: In step S1, the ambient light intensity data is dynamically filtered, the sliding window algorithm is used to eliminate instantaneous interference noise, and the temperature and humidity data are locally preprocessed through the edge computing node to generate a standardized environmental parameter package; when interacting with the cloud server, the local clock source is synchronously calibrated, and the GPS or NTP protocol is used to achieve multi-terminal timestamp synchronization.

9. The LED display intelligent control method according to claim 7, characterized in that: In step S2, a preset optimization strategy library is matched based on the display content type. When dynamic video content is detected, a motion compensation algorithm is automatically enabled and the color gamut coverage is increased to 98% of the NTSC standard. A brightness-color temperature mapping table is established based on historical environmental data, and the environmental change trend in the next 30 minutes is predicted through a reinforcement learning model, and the adjustment parameters are preloaded.

10. The LED display intelligent control method according to claim 7, characterized in that: In step S3, the driving signal phase locking mechanism is triggered during the hot plugging process, the physical location information of the new module is broadcasted through the CAN bus, the topology diagram is automatically updated and the synchronous refresh timing is reallocated; The residual charge of the driving signal of the fault isolation module is discharged, and the reverse pulse injection technology is used to avoid voltage fluctuations in adjacent modules; In the step S4, computing resources are allocated according to the dynamic complexity of the partition content, a low refresh rate mode is enabled for the text area, a high refresh rate mode is enabled for the video area, and FPGA hardware acceleration resources are dynamically allocated; In the multi-screen collaboration scenario, the master screen parameters are used as the benchmark values, and the gamma correction coefficients of the slave screens are iteratively optimized through the gradient descent algorithm; In the step S5, time-space correlation analysis is introduced in the pixel compensation process, a Markov chain model is constructed for the continuous fault module, the diffusion path is predicted and the peripheral redundant pixel driving current is enhanced in advance; In step S6, a power consumption-display quality trade-off model is established, and when battery power is detected, a content-aware compression algorithm is automatically enabled to reduce bandwidth occupancy to maintain the PSNR value.

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