AI algorithm-based LED display screen control system capable of automatically identifying empty field and saving energy

Abstract

The invention discloses an LED display screen control system for automatically identifying empty field energy saving based on an AI algorithm, and belongs to the technical field of LED display screen energy-saving control, the LED display screen control system comprises an LED display screen and a data acquisition unit, and a data processing unit comprises a data fusion module and a data analysis module; the sending card unit comprises a daughter card module, a data recovery module and a data backup module, the daughter card module is used for processing and sending data of the data processing unit, and an FPGA based on an AI algorithm is arranged in the daughter card module; through multi-modal data acquisition of the camera, the microphone, the infrared sensing module and the microwave radar module, the accuracy of personnel detection is greatly improved, the camera captures personnel activity images, the microphone captures sound, the infrared sensing module detects human body heat under low illumination, and the human body heat is detected by the microwave radar module. The microwave radar module detects a moving object, multiple kinds of data are fused and then analyzed through an AI algorithm, the empty field condition can be accurately judged, and unnecessary energy consumption caused by misjudgment is avoided.

Description

Technical Field

[0001] This invention relates to an LED display control system based on AI algorithms for automatic identification of energy saving in open spaces, belonging to the field of LED display energy-saving control technology. Background Technology

[0002] In today's digital age, LED displays, with their advantages of high brightness, high contrast, and long lifespan, are widely used in numerous fields, from commercial advertising and public transportation information displays to information presentation in conference rooms and exhibition halls. However, with the large-scale use of LED displays, their energy consumption has become increasingly prominent, posing a significant challenge to the industry's development.

[0003] In practical use, LED displays often continue to operate even when the space is empty, resulting in significant energy waste. For example, in shopping malls during non-business hours, after meetings in conference rooms, or at bus stops late at night when no one is waiting, the displays remain lit. Traditional manual control methods are not only inefficient but also prone to delays in turning off the screen due to negligence. Simple timed control schemes cannot be flexibly adjusted according to actual personnel activity, failing to accurately achieve energy-saving goals. In summary, existing LED display energy-saving technologies have significant shortcomings in terms of personnel detection, energy-saving strategies, data management, and system stability, failing to meet the growing demands for energy conservation and efficient operation. Therefore, we propose an LED display control system based on AI algorithms for automatically identifying energy-saving scenarios in empty spaces. Summary of the Invention

[0004] The purpose of this invention is to provide an LED display control system based on AI algorithms that automatically identifies energy-saving features in open spaces, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] Compared to existing technologies, this invention provides a control system for an LED display screen that automatically identifies energy-saving features in open spaces based on AI algorithms. The system includes an LED display screen and further comprises...

[0007] A data acquisition unit, the data acquisition unit including at least one camera and at least one microphone;

[0008] The data processing unit includes a data fusion module and a data analysis module;

[0009] The sending card unit includes a sub-card module, a data recovery module, and a data backup module. The sub-card module is used to process and send data from the data processing unit. The sub-card module is equipped with an FPGA based on an AI algorithm.

[0010] A multi-function card, the multi-function card including an energy-saving control unit;

[0011] PC power supply, which is used to provide partial power supply;

[0012] A power distribution cabinet is used to supply power to the LED display screen.

[0013] Preferably, the data acquisition unit further includes an infrared sensing module, a microwave radar module, and an ambient light detection module.

[0014] The infrared sensing module uses infrared sensors to detect human body heat, compensating for the shortcomings of the camera in low-light conditions.

[0015] The microwave radar module uses a microwave radar sensor to detect moving objects, improving detection accuracy and response speed.

[0016] The ambient light detection module uses an ambient light sensor to detect the ambient light intensity, providing a basis for brightness adjustment.

[0017] The camera is used to collect image data of people's activities around the LED display screen;

[0018] The microphone is used to capture ambient sounds (such as footsteps and conversations) to help determine the presence of people.

[0019] Preferably, the data fusion module is used to fuse image data and sound data, and the data analysis module uses AI algorithms to determine the presence of people and analyze their behavior.

[0020] Preferably, the sending card unit further includes a data recovery module and a data backup module. The data recovery module is used to recover data after system failure or abnormal power outage, and the data backup module is used to back up critical system data periodically.

[0021] Preferably, the energy-saving control unit is used to perform operations including brightness adjustment and zone power-off energy saving based on the results of the data fusion and analysis module.

[0022] Preferably, the LED display screen is equipped with a fault self-diagnosis module and a fault alarm module. The fault self-diagnosis module and the fault alarm module are used to monitor the operating status of each device in the system in real time. When a device fault is detected, an alarm mechanism is activated to notify the management personnel.

[0023] In summary, this invention enables accurate open space identification: by acquiring multimodal data through a camera, microphone, infrared sensor module, and microwave radar module, the accuracy of personnel detection is greatly improved. The camera captures images of personnel activity, the microphone captures sound, the infrared sensor module detects human body heat under low light conditions, and the microwave radar module detects moving objects. After the fusion of multiple data sources and analysis by AI algorithms, the open space situation can be accurately determined, avoiding unnecessary energy consumption due to misjudgment. Compared with traditional single detection methods, the energy-saving effect is improved.

[0024] This invention features intelligent brightness and zone control: the ambient light detection module provides a basis for brightness adjustment based on the ambient light intensity, and the energy-saving control unit can automatically adjust the brightness of the LED display screen according to the results of the data fusion and analysis module. The brightness is reduced in low-light environments and when the displayed content is simple or does not require high brightness, thus reducing energy waste. At the same time, the zone power-off function can control the usage of different areas of the display screen separately. For example, in a shopping mall display screen, non-popular advertising areas can be turned off separately when no one is paying attention, effectively improving energy efficiency.

[0025] This invention provides data security assurance: the data backup module in the sending card unit regularly backs up critical system data, including configuration parameters, collected data, and control command records. The data recovery module can quickly restore data after system failure or abnormal power outage, ensuring normal system operation, avoiding control chaos and energy-saving failures caused by data loss, and ensuring the stability and continuity of the system.

[0026] The invention provides timely fault monitoring and handling: the fault self-diagnosis module and fault alarm module in the LED display screen monitor the operating status of each device in the system in real time. Once a device fault is detected, such as abnormal camera image transmission or communication failure of the sending card, the alarm mechanism is immediately activated to notify the management personnel, so that the fault can be handled in a timely manner, reducing the impact of device faults on system operation and energy-saving functions, and improving the overall reliability of the system.

[0027] This invention adapts to complex environments: multimodal data acquisition and the collaborative work of multiple sensors enable the system to adapt to various complex environments. Whether it is an outdoor bus stop with frequently changing lighting or a shopping mall with complex crowds, it can operate stably and accurately, ensuring that the LED display screen can achieve energy saving while meeting information display needs and improving user satisfaction with the display screen.

[0028] This invention provides seamless integration and stable operation: data backup and recovery mechanisms, as well as fault monitoring and alarm mechanisms, ensure that the system will not be interrupted due to unexpected situations during operation. After a brief failure or power outage, it can quickly restore normal working status, providing users with continuous and stable display services and avoiding inconvenience caused by system failures. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art 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 the structures shown in these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram illustrating the process structure of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Please see Figure 1 The present invention provides a technical solution:

[0033] An LED display control system based on AI algorithms for automatic energy-saving identification in open spaces involves installing cameras, microphones, infrared sensing modules, microwave radar modules, and ambient light detection modules from the data acquisition unit at appropriate locations around the LED display.

[0034] The camera should ensure that it can cover the main activity area around the display screen to clearly capture image data of people's activities;

[0035] The microphone should be installed in a location that can effectively capture ambient sounds, such as footsteps and conversations.

[0036] Infrared sensing modules are used to detect human body heat. When installing them, their detection range and accuracy under low light conditions must be considered.

[0037] Microwave radar modules are used to detect moving objects, and it is important to ensure that their detection range matches the area where people are active.

[0038] An ambient light detection module is installed in a location capable of accurately detecting ambient light intensity, providing a basis for subsequent brightness adjustment.

[0039] Each module of the data acquisition unit is connected to the data processing unit via corresponding data cables, transmitting the acquired data to the data processing unit for processing.

[0040] The data processing unit is connected to the sending card unit, and the processed data is transmitted to the sending card unit.

[0041] The sub-card module in the sending card unit receives data, processes it further, and then sends it. The FPGA within the sub-card module, based on AI algorithms, is responsible for efficient data processing and analysis.

[0042] The sending card unit connects to the multifunction card via a data cable, sending the processed data and instructions to the multifunction card.

[0043] The energy-saving control unit in the multi-function card executes corresponding energy-saving operations based on the received information, such as brightness adjustment and zone power-off.

[0044] Meanwhile, the PC power supply provides power to some of the system's devices, while the power distribution cabinet provides the main power supply to the LED display screen.

[0045] In this embodiment, software programs for a data fusion module and a data analysis module are installed in the data processing unit.

[0046] The software program of the data fusion module is used to fuse image data captured by the camera, sound data captured by the microphone, and data collected by the infrared sensing module, microwave radar module, and ambient light detection module, integrating different types of data into a unified dataset for subsequent analysis.

[0047] The data analysis module's software program is based on AI algorithms to determine the presence and behavior of people in the fused data. It uses a pre-trained model to identify and classify the data, determining whether there are people around the display screen and their behavioral status.

[0048] The sending card unit contains software programs for a data recovery module and a data backup module. The data backup module's software program periodically backs up critical system data, including configuration parameters, collected data, analysis results, and control commands, storing the backup data in a secure storage medium.

[0049] The data recovery module's software program can recover critical system data from backup data after a system failure or abnormal power outage, ensuring that the system can quickly resume normal operation.

[0050] The corresponding control software program is installed in the energy-saving control unit of the multi-function card. This program can perform energy-saving operations such as brightness adjustment and zone power-off based on the results of the data analysis module. At the same time, the software programs of the fault self-diagnosis module and the fault alarm module are installed in the LED display screen. The software program of the fault self-diagnosis module will monitor the operating status of each device in the system in real time. Once a device fault is detected, the software program of the fault alarm module will immediately activate the alarm mechanism and notify the management personnel through SMS, email or system alarm prompts.

[0051] In this embodiment, the camera continuously collects image data of people's activities around the LED display screen at a set frame rate and transmits the collected image data to the data processing unit. The microphone captures ambient sounds in real time, including footsteps and conversations, and transmits the sound data to the data processing unit. The infrared sensor module continuously detects human body heat and transmits the corresponding signal to the data processing unit when human body heat is detected. The microwave radar module continuously detects moving objects and transmits the detected data to the data processing unit once a moving object is detected. The ambient light detection module detects the ambient light intensity in real time and transmits the light intensity data to the data processing unit.

[0052] In this embodiment, after receiving the data transmitted by each module, the data fusion module in the data processing unit first performs preprocessing on the data, including data cleaning and noise reduction, to remove noise and outliers from the data. Then, based on the timestamp and spatial location information of the data, different types of data are fused to generate a unified dataset. The image data collected by the camera at the same time, the sound data captured by the microphone, and the data detected by the infrared sensing module and the microwave radar module are associated and integrated to form a dataset containing multi-faceted information about human activities.

[0053] In this embodiment, the data analysis module uses AI algorithms to determine the presence and behavior of people in the fused dataset. Through a pre-trained deep learning model, it performs target detection and recognition on the image data to determine whether there are people in the image and their position and posture. At the same time, it extracts and classifies audio features from the sound data to determine whether the sound is footsteps or conversation. Combining the human body heat detected by the infrared sensor module and the moving object information detected by the microwave radar module, it comprehensively determines whether there are people around the display screen. In addition, it can also analyze the behavior of people, such as whether they are stationary, moving, or performing specific activities.

[0054] In this embodiment, the energy-saving control unit in the multi-function card adjusts the brightness of the LED display screen based on the results of the data analysis module and the light intensity detected by the ambient light detection module. When the data analysis module determines that there is no one around the display screen and the ambient light detection module detects that the ambient light intensity is low, the energy-saving control unit will reduce the brightness of the display screen to reduce energy consumption. When someone appears around the display screen and the ambient light detection module detects that the ambient light intensity is high, the energy-saving control unit will appropriately increase the brightness of the display screen to ensure the display effect.

[0055] In this embodiment, the LED display screen is divided into multiple independent display areas. The energy-saving control unit will perform partition power-off operations on different areas according to the results of the data analysis module. When the data analysis module determines that there is no one around a certain area and there is no display demand in that area for a period of time, the energy-saving control unit will cut off the power supply to that area to achieve further energy saving. When someone approaches the area or the area has a new display demand, the energy-saving control unit will restore the power supply to that area.

[0056] In this embodiment, the data backup module backs up the system's critical data at set time intervals (such as daily, weekly, etc.). The backed-up data includes the raw data collected by the data acquisition unit, the data processed by the data processing unit, the analysis results of the data analysis module, and the system's configuration parameters and control commands. The backup data is stored in external storage devices (such as hard drives, USB flash drives, etc.) or cloud storage servers to ensure data security and reliability.

[0057] In this embodiment, when the system malfunctions or experiences an abnormal power outage, the data recovery module will start the data recovery program. First, it checks the integrity and availability of the backup data. Then, based on the system's status and requirements, it recovers the corresponding data from the backup data. If the system configuration parameters are lost, the data recovery module will restore the backed-up configuration parameters to the system. If the collected data is lost, the data recovery module will restore the original backed-up data to the data processing unit to ensure that the system can quickly resume normal operation.

[0058] In this embodiment, the fault self-diagnosis module monitors the operating status of each device in the system in real time, including the various modules of the data acquisition unit, the data processing unit, the sending card unit, the multi-function card, and the LED display screen itself. By monitoring the device's operating parameters (such as voltage, current, temperature, etc.), data transmission status (such as whether data is transmitted normally, whether there is packet loss, etc.), and the device's response time, it determines whether the device has malfunctioned. When it detects that the camera's image data transmission is interrupted or the image quality is abnormal, it determines that the camera may be malfunctioning; when it detects that the sending card's operating temperature is too high, it determines that the sending card may have a heat dissipation problem.

[0059] In this embodiment, when the fault self-diagnosis module detects a device fault, the fault alarm module will immediately activate the alarm mechanism. The alarm method may include SMS notification, email notification, system alarm prompts, etc. The alarm information will describe in detail the type of fault, the location of the fault, and the possible causes, so that managers can understand the fault situation in a timely manner and take corresponding measures for repair and handling.

[0060] This invention periodically optimizes and upgrades the AI ​​algorithm in the data analysis module. By collecting more real-world data to train and improve the algorithm, it enhances the accuracy and reliability of human presence judgment and behavior analysis. At the same time, the algorithm parameters are adjusted and optimized according to different application scenarios and user needs to adapt to different environments and usage requirements.

[0061] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A control system for an LED display screen that automatically identifies energy-saving features in open spaces based on AI algorithms, comprising an LED display screen, characterized in that, Also includes A data acquisition unit, the data acquisition unit including at least one camera and at least one microphone; The data processing unit includes a data fusion module and a data analysis module; The sending card unit includes a sub-card module, a data recovery module, and a data backup module. The sub-card module is used to process and send data from the data processing unit. The sub-card module is equipped with an FPGA based on an AI algorithm. A multi-function card, the multi-function card including an energy-saving control unit; PC power supply, which is used to provide partial power supply; A power distribution cabinet is used to supply power to the LED display screen.

2. The LED display control system for automatic energy saving in open spaces based on AI algorithm as described in claim 1, characterized in that, The data acquisition unit also includes an infrared sensing module, a microwave radar module, and an ambient light detection module. The infrared sensing module uses infrared sensors to detect human body heat, compensating for the shortcomings of the camera in low-light conditions. The microwave radar module uses a microwave radar sensor to detect moving objects, improving detection accuracy and response speed. The ambient light detection module uses an ambient light sensor to detect the ambient light intensity, providing a basis for brightness adjustment. The camera is used to collect image data of people's activities around the LED display screen; The microphone is used to capture ambient sounds (such as footsteps and conversations) to help determine the presence of people.

3. The LED display control system for automatic energy saving in open spaces based on AI algorithm as described in claim 1, characterized in that, The data fusion module is used to fuse image data and sound data, and the data analysis module uses AI algorithms to determine the presence of people and analyze their behavior.

4. The LED display control system for automatic energy saving in open spaces based on AI algorithm according to claim 1, characterized in that, The sending card unit also includes a data recovery module and a data backup module. The data recovery module is used to recover data after system failure or abnormal power outage, and the data backup module is used to back up critical system data regularly.

5. The LED display control system for automatic energy saving in open spaces based on AI algorithm according to claim 3, characterized in that, The energy-saving control unit is used to perform energy-saving operations, including brightness adjustment and zone power-off, based on the results of the data fusion and analysis module.

6. The LED display control system for automatic energy saving in open spaces based on AI algorithm according to claim 1, characterized in that, The LED display screen is equipped with a fault self-diagnosis module and a fault alarm module. The fault self-diagnosis module and the fault alarm module are used to monitor the operating status of each device in the system in real time. When a device fault is detected, the alarm mechanism is activated to notify the management personnel.

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