A display device

Abstract

This invention provides a display screen device, relating to the field of display screen device technology, comprising an image execution module, an environmental perception module, an adaptive decision-making module, a dynamic execution module, and an energy guarantee module. Through the coordinated operation of these modules, the device can perceive environmental changes in real time and make adaptive adjustments, adapting the display effect to ambient light and user distance to improve viewing comfort. Simultaneously, it optimizes sound field parameters based on ambient noise to enhance the audio experience. It can generate thermal control strategies based on device temperature to ensure devices operate within a reasonable temperature range, extending their lifespan. It generates cleaning strategies based on cleanliness evaluation coefficients to achieve automatic cleaning of the display screen, maintaining good display performance. The energy guarantee module provides stable power and load monitoring, improving the stability and safety of the device. Overall, this invention improves the device's environmental adaptability, intelligence, and operational efficiency.

Description

Technical Field

[0001] This invention belongs to the field of display device technology, and specifically relates to a display device. Background Technology

[0002] Currently, existing display screen devices face numerous technical bottlenecks in practical applications. On the one hand, their environmental adaptability is poor. Under different ambient light intensities, color temperatures, and noise conditions, they struggle to automatically adjust display and sound field parameters, resulting in a poor user viewing experience. On the other hand, they lack efficient self-cleaning mechanisms, making it easy for dust to accumulate on the surface of the display screen, affecting display quality. Furthermore, manual cleaning is costly and inefficient. Additionally, the heat dissipation systems of existing devices are mostly fixed, unable to dynamically adjust heat dissipation strategies in real time based on device temperature, potentially leading to overheating and impacting lifespan and performance stability. Moreover, the correlation between display quality and user distance is insufficiently considered, failing to adaptively adjust display parameters based on the distance between the user and the screen, making it difficult to meet the needs of different usage scenarios. Furthermore, energy management is relatively rudimentary, lacking precise load monitoring and protection mechanisms, resulting in energy waste and safety hazards. Summary of the Invention

[0003] The present invention provides a display screen device to solve at least one of the technical problems mentioned above.

[0004] To address the aforementioned technical problems, the present invention discloses a display screen device, comprising: The imaging execution module is used to convert image data streams into optical images; The environmental sensing module is used to collect data on ambient light, ambient noise, user distance, device temperature, and the cleanliness evaluation coefficient of the display screen body surface of the imaging execution module. The adaptive decision-making module is used to parse the input video stream and audio stream, generate display optimization instructions based on ambient light and user distance data collected by the environmental perception module, generate sound field optimization instructions based on environmental noise data, generate thermal control strategies based on device temperature, and generate cleaning strategies based on the cleanliness evaluation coefficient of the main surface of the display screen. The dynamic execution module is used to drive the display execution module to output optical images adapted to the environment based on display optimization instructions, adjust the sound field parameters based on sound field optimization instructions, execute heat dissipation strategies based on thermal control strategies, and generate cleaning strategies based on the cleanliness data of the main surface of the display screen to execute dust removal actions. The energy backup module is used to provide multiple regulated power supplies and load monitoring.

[0005] Preferably, the imaging execution module includes: The image decoding submodule is used to decode the image data stream; The color conversion submodule is used to convert the decoded image data into corresponding color signals; The optical projection submodule is used to convert color signals into optical images and project them for display.

[0006] Preferably, the environmental perception module includes: The ambient light acquisition submodule uses a light sensor to collect ambient light intensity and color temperature data. The environmental noise acquisition submodule uses a microphone array to collect data on the intensity and frequency of environmental noise. The user distance detection submodule measures the distance between the user and the display screen using an infrared sensor or millimeter-wave radar. Temperature monitoring submodule, used to detect device temperature via temperature sensor; The cleanliness detection submodule is used to obtain the cleanliness assessment coefficient of the surface of the display screen through the display screen body image acquisition unit.

[0007] Preferably, the main image acquisition unit of the display screen includes: The multi-angle image acquisition subunit of the display screen body is set at the first working end of the cleaning robotic arm and is used to follow the cleaning robotic arm to acquire images of the current area to be cleaned of the display screen body from different angles in real time. The cleaning robotic arm is mounted on the display screen body. The cleaning robotic arm includes a first working end and a second working end. An image acquisition camera is installed on the first working end, and a cleaning wipe for the surface of the display screen body is installed on the second working end. The first working end and the second working end of the cleaning robotic arm are used to drive the image acquisition camera and the cleaning wipe for the surface of the display screen body to move in space, respectively. The auxiliary pixel determination subunit is used to obtain the pixel value of each pixel in several images of the current area to be cleaned of the display body collected at each time moment, and calculate the average pixel value of the adjacent pixels corresponding to each pixel in the current area to be cleaned of the display body, and use it as the auxiliary pixel of the corresponding pixel in the current area to be cleaned of the display body. The background cleaning acquisition subunit is used to calculate the sum of auxiliary pixels of corresponding pixels on several images of the current area to be cleaned of the display body collected at each time, and to take the sum of auxiliary pixels of corresponding pixels on the current area to be cleaned of the display body collected at each time as the quotient of the sum of auxiliary pixels of corresponding pixels on the current area to be cleaned of the display body and the total number of images of the current area to be cleaned of the display body collected at each time as the background cleaning pixel value of that pixel, and to take the image composed of the background cleaning pixel values ​​of each pixel as the background cleaning image. The key cleaning area determination subunit selects several images with the highest clarity in the current area to be cleaned on the main body of the display screen as evaluation images. It calculates the absolute value of the difference between the actual pixel value of each pixel in the evaluation image and the pixel value of the clean background. When the absolute value of the difference between the actual pixel value of a pixel and the pixel value of the clean background is greater than a preset pixel difference, the pixel is marked as a pixel in the key cleaning area. The area formed by all pixels in the key cleaning area is the key cleaning area, and the remaining areas are ordinary cleaning areas. The current cleanliness coefficient calculation subunit is used to calculate the area of ​​areas requiring intensive cleaning and, based on this area, to calculate the real-time surface cleanliness assessment coefficient of the current area to be cleaned on the main body of the display screen. .

[0008] Preferably, based on the area of ​​the key cleaning area, the real-time surface cleanliness assessment coefficient of the current area to be cleaned on the main body of the display screen is calculated: ;in, This is the real-time surface cleanliness assessment coefficient for the area of ​​the display screen currently to be cleaned. This is the area error compensation coefficient for areas requiring focused cleaning. To assess the real-time area of ​​the region in the image that requires focused cleaning, This represents the real-time area of ​​a normally cleaned area.

[0009] Preferably, the adaptive decision-making module includes: The audio and video parsing submodule is used to perform format parsing and content extraction on the input video and audio streams. The display optimization calculation submodule calculates the optimization parameters for display brightness and contrast based on data from the ambient light acquisition submodule and the user distance detection submodule. The sound field optimization calculation submodule calculates sound field gain optimization instructions based on the data from the environmental noise acquisition submodule. The thermal control strategy generation submodule generates a thermal control strategy for adjusting the fan speed based on the data from the temperature monitoring submodule. The cleaning strategy generation submodule is used to generate the optimal wiping pressure for cleaning the display screen body surface corresponding to the current area based on the cleanliness evaluation coefficient of the display screen body surface obtained by the cleanliness detection submodule.

[0010] Preferred display brightness optimization parameters: ;in, To optimize display brightness parameters, and These are correction parameter one and correction parameter two, respectively. The ambient light intensity of the current environment. The distance between the user and the main body of the display screen; Contrast optimization parameters: ;in, Optimize parameters for contrast. To correct parameter three, This refers to the current ambient color temperature data. Sound field gain optimization command: ;in, Commands for optimizing sound field gain. For gain parameters, For environmental noise intensity data, To determine the frequency of ambient noise The designed frequency adjustment function is used to adjust the sound field gain for ambient noise at different frequencies. Cooling fan speed adjustment parameters: ;in, These are parameters for adjusting the cooling fan speed. This is the speed adjustment coefficient, used to adjust the cooling fan speed based on the difference between the device temperature and the safe temperature threshold. The temperature data of the device detected by the temperature monitoring submodule. This is a preset safe temperature threshold.

[0011] Preferably, based on the cleanliness assessment coefficient of the display screen body surface obtained by the cleanliness detection submodule, the optimal wiping pressure for cleaning the display screen body surface corresponding to the current area is generated: ;in, Optimal scrubbing pressure for cleaning the surface of the display screen in the current area. The benchmark evaluation coefficient for the cleanliness of the main surface of the display screen is as follows: The basic scrubbing pressure for cleaning the surface of the display screen. Characterizes the increment of scrubbing pressure corresponding to a unit cleanliness coefficient.

[0012] Preferably, the dynamic execution module includes: The display driver submodule receives display optimization instructions and drives the display execution module to adjust display parameters. The sound field control submodule adjusts the speaker volume, sound effects, and other sound field parameters according to the sound field optimization instructions. The heat dissipation execution submodule controls components such as cooling fans and heat sinks to perform heat dissipation actions according to the thermal control strategy; The cleaning execution submodule, based on the cleaning strategy, drives the surface of the display screen on the second working end of the cleaning robotic arm to perform dust removal actions.

[0013] Preferably, the energy security module includes: The power conversion submodule is used to convert the input power into multiple regulated power supplies; The load monitoring submodule monitors the power load of each module in real time. The power protection submodule performs overvoltage, overcurrent, and undervoltage protection actions when the load is abnormal.

[0014] Compared with the prior art, the present invention has the following beneficial effects: Through the coordinated operation of its various modules, this invention enables the device to sense environmental changes in real time and make adaptive adjustments, adapting the display effect to ambient light and user distance to improve viewing comfort. Simultaneously, it optimizes sound field parameters based on ambient noise to enhance the audio experience. It generates thermal control strategies based on device temperature to ensure devices operate within a reasonable temperature range, extending their lifespan. It generates cleaning strategies based on cleanliness assessment coefficients to achieve automatic cleaning of the display screen, maintaining good display quality. The energy backup module provides stable power and load monitoring, improving the device's stability and safety. Overall, this invention enhances the device's environmental adaptability, intelligence, and operational efficiency. Attached Figure Description

[0015] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the display screen device of the present invention. Detailed Implementation

[0016] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0017] Furthermore, in this invention, the use of terms such as "first" and "second" is for descriptive purposes only and does not specifically refer to any order or sequence, nor is it intended to limit the invention. They are merely used to distinguish components or operations described using the same technical terms and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions and features of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If a combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0018] The present invention provides the following embodiments. Example 1 This invention provides a display screen device, such as... Figure 1 As shown, including The imaging execution module is used to convert image data streams into optical images; The environmental sensing module is used to collect data on ambient light, ambient noise, user distance, device temperature, and the cleanliness evaluation coefficient of the display screen body surface of the imaging execution module. The adaptive decision-making module is used to parse the input video stream and audio stream, generate display optimization instructions based on ambient light and user distance data collected by the environmental perception module, generate sound field optimization instructions based on environmental noise data, generate thermal control strategies based on device temperature, and generate cleaning strategies based on the cleanliness evaluation coefficient of the main surface of the display screen. The dynamic execution module is used to drive the display execution module to output optical images adapted to the environment based on display optimization instructions, adjust the sound field parameters based on sound field optimization instructions, execute heat dissipation strategies based on thermal control strategies, and generate cleaning strategies based on the cleanliness data of the main surface of the display screen to execute dust removal actions. The energy backup module is used to provide multiple regulated power supplies and load monitoring.

[0019] The working principle and beneficial effects of the above technical solution are as follows: When the display device is working, the image execution module receives the image data stream and converts it into an optical image. The environmental perception module collects data on ambient light, ambient noise, user distance, device temperature, and cleanliness evaluation coefficient of the main surface of the display screen in real time. The adaptive decision module parses the input video stream and audio stream and generates display optimization instructions, sound field optimization instructions, thermal control strategies, and cleaning strategies based on the data from the environmental perception module. The dynamic execution module drives the relevant modules to perform corresponding actions according to these instructions and strategies. The energy guarantee module provides multiple regulated power supplies for the entire device and monitors the load. The modules cooperate with each other to realize the overall function of the device. Through the collaborative work of its various modules, the device can sense environmental changes in real time and make adaptive adjustments to adapt the display effect to ambient light and user distance, thereby improving user viewing comfort. At the same time, it optimizes sound field parameters based on ambient noise to enhance the audio experience. It can generate thermal control strategies based on device temperature to ensure that the device operates within a reasonable temperature range and extend its service life. It generates cleaning strategies based on cleanliness evaluation coefficients to achieve automatic cleaning of the display screen and maintain good display effects. The energy protection module provides stable power and load monitoring to improve the stability and safety of the device. Overall, it improves the device's environmental adaptability, intelligence, and working efficiency.

[0020] Example 2 Based on Example 1, the imaging execution module includes: The image decoding submodule is used to decode the image data stream; The color conversion submodule is used to convert the decoded image data into corresponding color signals; The optical projection submodule is used to convert color signals into optical images and project them for display.

[0021] The working principle and beneficial effects of the above technical solution are as follows: The image decoding submodule in the display execution module first decodes the image data stream and converts it into a processable format. The color conversion submodule then converts the decoded image data into the corresponding color signal. Finally, the optical projection submodule converts the color signal into an optical image and projects it for display. Through the sequential operation of these three submodules, the process of converting the image from data to an optical image is completed. The image decoding submodule ensures that image data can be correctly parsed, the color conversion submodule ensures accurate color reproduction of the image, and the optical projection submodule realizes clear image projection display. The three work together to enable the display device to present images accurately and clearly, improve the quality and stability of image display, and provide users with a better visual experience. At the same time, the clear division of labor among the submodules improves the working efficiency and reliability of the modules.

[0022] Example 3 Based on Example 1, the environment perception module includes: The ambient light acquisition submodule uses a light sensor to collect ambient light intensity and color temperature data. The environmental noise acquisition submodule uses a microphone array to collect data on the intensity and frequency of environmental noise. The user distance detection submodule measures the distance between the user and the display screen using an infrared sensor or millimeter-wave radar. Temperature monitoring submodule, used to detect device temperature via temperature sensor; The cleanliness detection submodule is used to obtain the cleanliness assessment coefficient of the surface of the display screen through the display screen body image acquisition unit.

[0023] The working principle and beneficial effects of the above technical solution are as follows: When the environmental perception module is working, the ambient light acquisition submodule uses a light sensor to collect ambient light intensity and color temperature data, the ambient noise acquisition submodule uses a microphone array to collect ambient noise intensity and frequency data, the user distance detection submodule uses an infrared sensor or millimeter-wave radar to measure the distance between the user and the display screen, the temperature monitoring submodule uses a temperature sensor to detect the device temperature, and the cleanliness detection submodule obtains the cleanliness evaluation coefficient of the display screen main surface through the display screen main image acquisition unit. Each acquisition submodule collects corresponding data to provide a basis for subsequent decision-making. By acquiring multi-dimensional environmental data, this module can comprehensively obtain information such as ambient light, noise, user distance, device temperature, and display cleanliness, providing accurate and rich data support for the adaptive decision-making module. This enables the device to make precise adjustments according to different environmental conditions and usage scenarios, improving its adaptability to complex environments. For example, it can adjust display brightness and contrast based on ambient light, optimize the sound field based on ambient noise, and adjust display parameters based on user distance. At the same time, it monitors device temperature and display cleanliness in real time, providing a data foundation for the stable operation and maintenance of the equipment.

[0024] Example 4 Based on Embodiment 3, the main image acquisition unit of the display screen includes: The multi-angle image acquisition subunit of the display screen body is set at the first working end of the cleaning robotic arm and is used to follow the cleaning robotic arm to acquire images of the current area to be cleaned of the display screen body from different angles in real time. The cleaning robotic arm is mounted on the display screen body. The cleaning robotic arm includes a first working end and a second working end. An image acquisition camera is installed on the first working end, and a cleaning wipe for the surface of the display screen body is installed on the second working end. The first working end and the second working end of the cleaning robotic arm are used to drive the image acquisition camera and the cleaning wipe for the surface of the display screen body to move in space, respectively. The auxiliary pixel determination subunit is used to obtain the pixel value of each pixel in several images of the current area to be cleaned of the display body collected at each time moment, and calculate the average pixel value of the adjacent pixels corresponding to each pixel in the current area to be cleaned of the display body, and use it as the auxiliary pixel of the corresponding pixel in the current area to be cleaned of the display body. The background cleaning acquisition subunit is used to calculate the sum of auxiliary pixels of corresponding pixels on several images of the current area to be cleaned of the display body collected at each time, and to take the sum of auxiliary pixels of corresponding pixels on the current area to be cleaned of the display body collected at each time as the quotient of the sum of auxiliary pixels of corresponding pixels on the current area to be cleaned of the display body and the total number of images of the current area to be cleaned of the display body collected at each time as the background cleaning pixel value of that pixel, and to take the image composed of the background cleaning pixel values ​​of each pixel as the background cleaning image. The key cleaning area determination subunit selects several images with the highest clarity in the current area to be cleaned on the main body of the display screen as evaluation images. It calculates the absolute value of the difference between the actual pixel value of each pixel in the evaluation image and the pixel value of the clean background. When the absolute value of the difference between the actual pixel value of a pixel and the pixel value of the clean background is greater than a preset pixel difference, the pixel is marked as a pixel in the key cleaning area. The area formed by all pixels in the key cleaning area is the key cleaning area, and the remaining areas are ordinary cleaning areas. The current cleanliness coefficient calculation subunit is used to calculate the area of ​​areas requiring intensive cleaning and, based on this area, to calculate the real-time surface cleanliness assessment coefficient of the current area to be cleaned on the main body of the display screen. ; Based on the area requiring priority cleaning, calculate the real-time surface cleanliness assessment coefficient of the current area to be cleaned on the main body of the display screen: ;in, This is the real-time surface cleanliness assessment coefficient for the area of ​​the display screen currently to be cleaned. This is the area error compensation coefficient for areas requiring focused cleaning. To assess the real-time area of ​​the region in the image that requires focused cleaning, This represents the real-time area of ​​a normally cleaned area.

[0025] The working principle and beneficial effects of the above technical solution are as follows: When the main image acquisition unit of the display screen in the cleanliness detection submodule is working, the multi-angle image acquisition subunit of the main image of the display screen follows the first working end of the cleaning robotic arm to acquire images of the current area to be cleaned of the main screen from different angles in real time. The auxiliary pixel determination subunit obtains the pixel value of each pixel in several images acquired at each moment, and calculates the average pixel value of the adjacent pixels corresponding to each pixel in each image as an auxiliary pixel. The cleaning background acquisition subunit calculates the sum of the auxiliary pixels of the corresponding pixels in several images acquired at each moment, and then divides it by the total number of images to obtain the cleaning background pixel value of that pixel, thus forming a cleaning background image. The key cleaning area determination subunit selects the image with the highest clarity as the evaluation image, calculates the absolute value of the difference between the actual pixel value of each pixel and the cleaning background pixel value, and marks the pixel as a key cleaning area pixel when the difference is greater than the preset pixel difference, thus forming a key cleaning area and a normal cleaning area. The current area to be cleaned cleanliness coefficient calculation subunit calculates the area of ​​the key cleaning area and calculates the real-time surface cleanliness evaluation coefficient. By employing multi-angle image acquisition and sophisticated pixel processing algorithms, the cleanliness of the display screen surface can be accurately detected. This method considers image information from different angles, reducing errors from single-angle acquisition. By calculating auxiliary pixels and clean background pixels, it can effectively distinguish between dust particles and the pixel features of the display screen itself, improving the accuracy of identifying areas requiring focused cleaning. Based on the area of ​​these areas, a cleanliness evaluation coefficient is calculated, making the quantification of cleanliness more scientific and reasonable. This provides a precise basis for generating cleaning strategies, enabling targeted cleaning, improving cleaning efficiency and effectiveness, reducing unnecessary cleaning operations, saving energy and time, and ensuring that the display screen surface remains in a good clean state without affecting the display effect.

[0026] Example 5 Based on Example 3, the adaptive decision-making module includes: The audio and video parsing submodule is used to perform format parsing and content extraction on the input video and audio streams. The display optimization calculation submodule calculates the optimization parameters for display brightness and contrast based on data from the ambient light acquisition submodule and the user distance detection submodule. The sound field optimization calculation submodule calculates sound field gain optimization instructions based on the data from the environmental noise acquisition submodule. The thermal control strategy generation submodule generates a thermal control strategy for adjusting the fan speed based on the data from the temperature monitoring submodule. The cleaning strategy generation submodule is used to generate the optimal wiping pressure for cleaning the display screen body surface corresponding to the current area based on the cleanliness evaluation coefficient of the display screen body surface obtained by the cleanliness detection submodule.

[0027] The working principle and beneficial effects of the above technical solution are as follows: In the adaptive decision-making module, the audio and video parsing submodule performs format parsing and content extraction on the input video stream and audio stream; the display optimization calculation submodule calculates the optimization parameters of display brightness and contrast based on the ambient light intensity and color temperature data of the ambient light acquisition submodule and the user distance data of the user distance detection submodule; the sound field optimization calculation submodule calculates the sound field gain optimization instruction based on the ambient noise intensity and frequency data of the ambient noise acquisition submodule; the thermal control strategy generation submodule generates a thermal control strategy for adjusting the fan speed based on the device temperature data of the temperature monitoring submodule; and the cleaning strategy generation submodule generates the optimal wiping pressure for cleaning the main surface of the display screen in the current area based on the cleanliness evaluation coefficient of the cleanliness detection submodule. Each submodule processes the corresponding data and generates instructions and strategies. This module achieves intelligent optimization decisions for multiple aspects of the display device through comprehensive analysis and processing of audio-visual data and environmental data. The display optimization calculation submodule dynamically adjusts the display brightness and contrast based on ambient light and user distance to ensure the display effect is always at its best, improving user visual comfort. The sound field optimization calculation submodule adjusts the sound field gain in real time based on ambient noise to ensure clear audio. The thermal control strategy generation submodule dynamically adjusts the fan speed based on device temperature to ensure heat dissipation while avoiding energy waste. The cleaning strategy generation submodule generates the optimal wiping pressure based on cleanliness assessment coefficients to achieve precise cleaning, improve cleaning efficiency and effectiveness, and reduce damage to the display screen. Overall, it improves the device's intelligence level and adaptability, enabling it to better meet the usage needs of different users and in different environments.

[0028] Example 6 Based on Example 5, display brightness optimization parameters: ;in, To optimize display brightness parameters, and These are correction parameter one and correction parameter two, respectively. The ambient light intensity of the current environment. The distance between the user and the main body of the display screen; Contrast optimization parameters: ;in, Optimize parameters for contrast. To correct parameter three, This refers to the current ambient color temperature data. Sound field gain optimization command: ;in, Commands for optimizing sound field gain. For gain parameters, For environmental noise intensity data, To determine the frequency of ambient noise The designed frequency adjustment function is used to adjust the sound field gain for ambient noise at different frequencies. Cooling fan speed adjustment parameters: ;in, These are parameters for adjusting the cooling fan speed. This is the speed adjustment coefficient, used to adjust the cooling fan speed based on the difference between the device temperature and the safe temperature threshold. The temperature data of the device detected by the temperature monitoring submodule. Preset safe temperature threshold; Based on the cleanliness assessment coefficient of the display screen body surface obtained from the cleanliness detection submodule, the optimal wiping pressure for cleaning the display screen body surface corresponding to the current area is generated: ;in, Optimal scrubbing pressure for cleaning the surface of the display screen in the current area. The benchmark evaluation coefficient for the cleanliness of the main surface of the display screen is as follows: The basic scrubbing pressure for cleaning the surface of the display screen. Characterizes the increment of scrubbing pressure corresponding to a unit cleanliness coefficient.

[0029] The working principle and beneficial effects of the above technical solutions are as follows: In the display brightness optimization formula, ambient light intensity is positively correlated with brightness, and the reciprocal of user distance is also positively correlated with brightness. By adjusting the parameters to balance the influence of both, appropriate brightness is ensured under different ambient light and user distances. The contrast optimization formula linearly adjusts the contrast based on the ambient color temperature to ensure accurate image color reproduction. The sound field gain optimization formula considers the ambient noise intensity and frequency and adjusts the gain for different frequency noises through a frequency adjustment function to improve audio clarity. The cooling fan speed adjustment formula linearly adjusts the speed based on the difference between the device temperature and the safety threshold to achieve dynamic heat dissipation, ensuring both heat dissipation effect and energy saving. The piecewise function for adjusting cleaning pressure increases the pressure when the cleanliness is lower than the benchmark value to ensure cleaning effect, and maintains the basic pressure when it is higher than or equal to the benchmark value to avoid over-cleaning. The application of these algorithms improves the device's adaptability and working efficiency, enhances the user experience, and extends the device's service life.

[0030] Example 7 Based on Example 1, the dynamic execution module includes: The display driver submodule receives display optimization instructions and drives the display execution module to adjust display parameters. The sound field control submodule adjusts the speaker volume, sound effects, and other sound field parameters according to the sound field optimization instructions. The heat dissipation execution submodule controls components such as cooling fans and heat sinks to perform heat dissipation actions according to the thermal control strategy; The cleaning execution submodule, based on the cleaning strategy, drives the surface of the display screen on the second working end of the cleaning robotic arm to perform dust removal actions.

[0031] The working principle and beneficial effects of the above technical solution are as follows: When the dynamic execution module is working, the display driver submodule receives the display optimization command and drives the imaging execution module to adjust the display parameters, such as brightness and contrast; the sound field control submodule adjusts the volume, sound effects and other sound field parameters of the speakers according to the sound field optimization command; the heat dissipation execution submodule controls the speed of the cooling fan, the angle of the heat sink and other components to perform heat dissipation actions according to the thermal control strategy; the cleaning execution submodule drives the cleaning robot arm to perform dust removal actions on the surface of the display screen on the second working end according to the cleaning strategy. Each execution submodule performs its corresponding action to realize the command of the decision module. This module translates the instructions and strategies generated by the decision-making module into actual execution actions, ensuring that the device can adjust its working state in real time according to the environment and needs. The precise driving of the display driver submodule enables timely adjustment of display parameters to ensure the best display effect; the adjustment of the sound field control submodule adapts the audio effect to environmental noise, improving the listening experience; the dynamic heat dissipation control of the heat dissipation execution submodule ensures stable device temperature and extends device life; the precise dust removal action of the cleaning execution submodule keeps the display surface clean and does not affect display quality. The efficient collaboration of each execution submodule enables the effective realization of various functions of the device, improves the device's response speed and operational reliability, and enhances the overall performance of the device.

[0032] Example 8 Based on Example 1, the energy security module includes: The power conversion submodule is used to convert the input power into multiple regulated power supplies; The load monitoring submodule monitors the power load of each module in real time. The power protection submodule performs overvoltage, overcurrent, and undervoltage protection actions when the load is abnormal.

[0033] The working principle and beneficial effects of the above technical solution are as follows: In the energy security module, the power conversion submodule converts the input power into multiple regulated power supplies to provide a stable power supply for each module of the device; the load monitoring submodule monitors the power load of each module in real time and obtains load data; when the power protection submodule detects abnormal load conditions, such as overvoltage, overcurrent, undervoltage, etc., it executes corresponding protection actions, cuts off the power supply or adjusts the power supply. All submodules work together to ensure the safety and stability of the device's energy supply. The power conversion submodule ensures a stable voltage for each module, guaranteeing normal operation and preventing performance instability or damage caused by voltage fluctuations. The load monitoring submodule monitors power consumption in real time, providing data support for energy management and fault diagnosis. The power protection submodule activates promptly in case of abnormal load, preventing damage to the device from overvoltage, overcurrent, and other conditions, thus improving the device's safety and reliability, extending its service life. Furthermore, the multi-channel regulated power supply meets the different power requirements of various modules, improving energy utilization efficiency, reducing energy waste, and ensuring stable operation of the device.

[0034] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A display screen device, characterized in that: include The imaging execution module is used to convert image data streams into optical images; The environmental sensing module is used to collect data on ambient light, ambient noise, user distance, device temperature, and the cleanliness evaluation coefficient of the display screen body surface of the imaging execution module. The adaptive decision-making module is used to parse the input video stream and audio stream, generate display optimization instructions based on ambient light and user distance data collected by the environmental perception module, generate sound field optimization instructions based on environmental noise data, generate thermal control strategies based on device temperature, and generate cleaning strategies based on the cleanliness evaluation coefficient of the main surface of the display screen. The dynamic execution module is used to drive the display execution module to output optical images adapted to the environment based on display optimization instructions, adjust the sound field parameters based on sound field optimization instructions, execute heat dissipation strategies based on thermal control strategies, and generate cleaning strategies based on the cleanliness data of the main surface of the display screen to execute dust removal actions. The energy backup module is used to provide multiple regulated power supplies and load monitoring.

2. The display screen device according to claim 1, characterized in that: The imaging execution module includes: The image decoding submodule is used to decode the image data stream; The color conversion submodule is used to convert the decoded image data into corresponding color signals; The optical projection submodule is used to convert color signals into optical images and project them for display.

3. The display screen device according to claim 1, characterized in that: The environmental perception module includes: The ambient light acquisition submodule uses a light sensor to collect ambient light intensity and color temperature data. The environmental noise acquisition submodule uses a microphone array to collect data on the intensity and frequency of environmental noise. The user distance detection submodule measures the distance between the user and the display screen using an infrared sensor or millimeter-wave radar. Temperature monitoring submodule, used to detect device temperature via temperature sensor; The cleanliness detection submodule is used to obtain the cleanliness assessment coefficient of the surface of the display screen through the display screen body image acquisition unit.

4. A display screen device according to claim 3, characterized in that: The main image acquisition unit of the display screen includes: The multi-angle image acquisition subunit of the display screen body is set at the first working end of the cleaning robotic arm and is used to follow the cleaning robotic arm to acquire images of the current area to be cleaned of the display screen body from different angles in real time. The cleaning robotic arm is mounted on the display screen body. The cleaning robotic arm includes a first working end and a second working end. An image acquisition camera is installed on the first working end, and a cleaning wipe for the surface of the display screen body is installed on the second working end. The first working end and the second working end of the cleaning robotic arm are used to drive the image acquisition camera and the cleaning wipe for the surface of the display screen body to move in space, respectively. The auxiliary pixel determination subunit is used to obtain the pixel value of each pixel in several images of the current area to be cleaned of the display body collected at each time moment, and calculate the average pixel value of the adjacent pixels corresponding to each pixel in the current area to be cleaned of the display body, and use it as the auxiliary pixel of the corresponding pixel in the current area to be cleaned of the display body. The background cleaning acquisition subunit is used to calculate the sum of auxiliary pixels of corresponding pixels on several images of the current area to be cleaned of the display body collected at each time, and to take the sum of auxiliary pixels of corresponding pixels on the current area to be cleaned of the display body collected at each time as the quotient of the sum of auxiliary pixels of corresponding pixels on the current area to be cleaned of the display body and the total number of images of the current area to be cleaned of the display body collected at each time as the background cleaning pixel value of that pixel, and to take the image composed of the background cleaning pixel values ​​of each pixel as the background cleaning image. The key cleaning area determination subunit selects several images with the highest clarity in the current area to be cleaned on the main body of the display screen as evaluation images. It calculates the absolute value of the difference between the actual pixel value of each pixel in the evaluation image and the pixel value of the clean background. When the absolute value of the difference between the actual pixel value of a pixel and the pixel value of the clean background is greater than a preset pixel difference, the pixel is marked as a pixel in the key cleaning area. The area formed by all pixels in the key cleaning area is the key cleaning area, and the remaining areas are ordinary cleaning areas. The current cleanliness coefficient calculation subunit is used to calculate the area of ​​areas requiring intensive cleaning and, based on this area, to calculate the real-time surface cleanliness assessment coefficient of the current area to be cleaned on the main body of the display screen. .

5. A display screen device according to claim 4, characterized in that: Based on the area requiring priority cleaning, calculate the real-time surface cleanliness assessment coefficient of the current area to be cleaned on the main body of the display screen: ;in, This is the real-time surface cleanliness assessment coefficient for the area of ​​the display screen currently to be cleaned. This is the area error compensation coefficient for areas requiring focused cleaning. To assess the real-time area of ​​the region in the image that requires focused cleaning, This represents the real-time area of ​​a normally cleaned area.

6. A display screen device according to claim 3, characterized in that: The adaptive decision-making module includes: The audio and video parsing submodule is used to perform format parsing and content extraction on the input video and audio streams. The display optimization calculation submodule calculates the optimization parameters for display brightness and contrast based on data from the ambient light acquisition submodule and the user distance detection submodule. The sound field optimization calculation submodule calculates sound field gain optimization instructions based on the data from the environmental noise acquisition submodule. The thermal control strategy generation submodule generates a thermal control strategy for adjusting the fan speed based on the data from the temperature monitoring submodule. The cleaning strategy generation submodule is used to generate the optimal wiping pressure for cleaning the display screen body surface corresponding to the current area based on the cleanliness evaluation coefficient of the display screen body surface obtained by the cleanliness detection submodule.

7. A display screen device according to claim 6, characterized in that: Display brightness optimization parameters: ;in, To optimize display brightness parameters, and These are correction parameter one and correction parameter two, respectively. The ambient light intensity of the current environment. The distance between the user and the main body of the display screen; Contrast optimization parameters: ;in, Optimize parameters for contrast. To correct parameter three, This refers to the current ambient color temperature data. Sound field gain optimization command: ;in, Commands for optimizing sound field gain. For gain parameters, For environmental noise intensity data, To determine the frequency of ambient noise The designed frequency adjustment function is used to adjust the sound field gain for ambient noise at different frequencies. Cooling fan speed adjustment parameters: ;in, These are parameters for adjusting the cooling fan speed. This is the speed adjustment coefficient, used to adjust the cooling fan speed based on the difference between the device temperature and the safe temperature threshold. The temperature data of the device detected by the temperature monitoring submodule. This is a preset safe temperature threshold.

8. A display screen device according to claim 6, characterized in that: Based on the cleanliness assessment coefficient of the display screen body surface obtained from the cleanliness detection submodule, the optimal wiping pressure for cleaning the display screen body surface corresponding to the current area is generated: ;in, Optimal scrubbing pressure for cleaning the surface of the display screen in the current area. The benchmark evaluation coefficient for the cleanliness of the main surface of the display screen is as follows: The basic scrubbing pressure for cleaning the surface of the display screen. Characterizes the increment of scrubbing pressure corresponding to a unit cleanliness coefficient.

9. A display screen device according to claim 1, characterized in that: The dynamic execution module includes: The display driver submodule receives display optimization instructions and drives the display execution module to adjust display parameters. The sound field control submodule adjusts the speaker volume, sound effects, and other sound field parameters according to the sound field optimization instructions. The heat dissipation execution submodule controls components such as cooling fans and heat sinks to perform heat dissipation actions according to the thermal control strategy; The cleaning execution submodule, based on the cleaning strategy, drives the surface of the display screen on the second working end of the cleaning robotic arm to perform dust removal actions.

10. A display screen device according to claim 1, characterized in that: The energy security module includes: The power conversion submodule is used to convert the input power into multiple regulated power supplies; The load monitoring submodule monitors the power load of each module in real time. The power protection submodule performs overvoltage, overcurrent, and undervoltage protection actions when the load is abnormal.

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