Display screen management system and management control method thereof

Abstract

The invention discloses a display screen management system and a management control method thereof, and relates to the technical field of intelligent display, and the method comprises the steps: starting display screen cluster management software, activating an environment sensor, and collecting environment data; based on the environment data, using a support vector regression (SVR) model to adjust and evaluate display parameters, monitoring user behaviors, and obtaining and analyzing behavior data; using the analyzed behavior data to determine an energy consumption management strategy, and adjusting display parameters and energy consumption; recording the adjusted parameters, and entering remote management setting; based on the remote management setting, the user adjusts the personalized setting and updates the display parameters through the remote management setting. Through cooperative work of the intelligent management software and the environment sensor, automatic adjustment of the parameters of the display screen is achieved, the energy consumption strategy is dynamically adjusted according to the analysis result, energy conservation and emission reduction are achieved while the display quality is guaranteed, and it is guaranteed that the optimal display effect can be obtained under various environment conditions.

Description

Technical Field

[0001] The present invention relates to the field of intelligent display technology, and in particular to a display screen management system and a management and control method thereof. Background Art

[0002] Display screen management systems and their management and control methods have received increasing attention with the rapid development of display technology. Traditional display screen management systems usually rely on manual intervention to adjust display parameters and lack the ability to automatically adapt to environmental changes, resulting in poor display effects under different environmental conditions. In addition, existing systems often fail to make full use of environmental data and personal behavior data to optimize energy consumption management, which not only wastes resources but also may lead to poor user viewing experience. In recent years, with the advancement of Internet of Things technology and big data analysis, a new generation of display screen management systems have emerged that can automatically adjust display parameters and monitor user behavior. However, these systems still have certain limitations, such as insufficient response to environmental changes and insufficiently sophisticated energy consumption management strategies.

[0003] Although the existing display management system can achieve a certain degree of automated management, there is still much room for improvement in terms of accurate adjustment of display parameters, refined energy consumption management, and meeting the personalized needs of users. In particular, under complex and changing environmental conditions, the existing system's environmental perception and user behavior analysis capabilities are limited, making it difficult to achieve highly adaptive display effect optimization and energy consumption control. In addition, the implementation of remote management functions is also relatively basic and cannot fully meet the personalized needs of users. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a display screen management system and a management and control method thereof to solve the problems of environmental adaptability, user personalized needs, energy consumption management, and remote management inconvenience.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, an embodiment of the present invention provides a display screen management and control method, which includes starting display screen cluster management software and activating environmental sensors to collect environmental data; adjusting and evaluating display parameters based on the environmental data using a support vector regression SVR model, and monitoring user behavior, obtaining and analyzing behavior data; using the analyzed behavior data to determine an energy consumption management strategy, adjusting display parameters and energy consumption; recording the adjusted parameters and entering remote management settings; The specific steps of entering the remote management settings include: the control platform comprehensively evaluates environmental factors and user behavior data, adjusts display parameters and energy consumption strategies; continuously detects environmental changes and user behavior changes; continuously adjusts display parameters and energy consumption management strategies based on the detected changes; establishes a feedback loop, and the control platform optimizes display effects and energy consumption management in real time; the control platform will support users to perform remote management and personalized settings through smartphone applications; Based on the remote management settings, users will adjust personalized settings and update display parameters through remote management settings.

[0007] Further, wherein: the support vector regression SVR model is used based on the environmental data to adjust and evaluate the display parameters, and the user behavior is monitored, and the behavior data is obtained and analyzed. The specific steps are: Based on the collected environmental data, the control platform uses the support vector regression SVR model to evaluate and adjust the impact of the current environment on the display screen. The expression is: ; in, is the brightness adjustment value, is the current temperature value, is the lower limit of the temperature comfort range, is the upper limit of the temperature comfort range, is the current humidity value, is the lower limit of the comfortable humidity range, is the upper limit of the comfortable range of humidity, L is the current light intensity value, is the lower limit of the comfortable range of light intensity, is the upper limit of the comfortable range of light intensity, is the maximum brightness adjustment amount; when When >0, it indicates that the brightness needs to be increased; when When <0, it indicates that the brightness needs to be reduced; when =0, indicating that the brightness does not need to be adjusted; The display management software further integrates user behavior monitoring functions; Capture user behavior habits through cameras and collect data on user behavior; The collected user behavior data is used to analyze users’ viewing habits in specific environments using the control platform.

[0008] Furthermore, the specific steps of starting the display screen cluster management software and activating the environmental sensor to collect environmental data are as follows: Start the display management software, initialize the status of all LED displays, and start the integrated environmental sensors, including temperature sensors, humidity sensors, and light sensors; Real-time monitoring of the display's surroundings through integrated environmental sensors; The control platform receives and records environmental data.

[0009] Furthermore, the support vector regression SVR model refers to: Get real-time data from temperature sensors, humidity sensors, and light sensors; Collect user viewing behavior data of the display screen through the camera; Record the most appropriate brightness settings under different environmental conditions; Preprocess the collected data; Environmental data of temperature, humidity and light intensity were selected as feature data to be input into the model and logarithmically transformed; Select ε-SVR as the model variant and define the target variable of the model as the brightness adjustment amount ΔB; Divide the dataset into training and testing sets; Create a Support Vector Regression (SVR) model using the scikit-learn library in Python. Select the penalty coefficient and kernel function parameters and adjust them through cross-validation to find the best value; The support vector regression (SVR) model is trained using the training dataset, and the model performance is evaluated using the test dataset.

[0010] Furthermore, the analyzed behavior data is used to determine the energy consumption management strategy and adjust the display parameters and energy consumption. The specific steps are: Based on the analyzed behavior data, the energy consumption index is calculated, and the expression is: ; Among them, M is the energy consumption index, n is the number of user behavior data points, is the weight of the ith data point, is the behavior pattern value corresponding to the i-th data point, i is the index variable of the data point; When M<0.3, it indicates that the user prefers energy-saving mode; When M>0.7, it indicates that users prefer high-performance mode; When 0.3≤M≤0.7, it indicates that the user prefers the standard mode; Monitor the actual energy consumption of the display screen through the control platform.

[0011] Further, wherein: the adjusted parameters are recorded and remote management settings are entered, and the specific steps are: Further, wherein: based on the remote management setting, the user will adjust the personalized settings through the remote management setting and update the display parameters, the specific steps are: Based on remote management and personalization by users through smartphone applications; Users adjust display parameters according to personal preferences and set specific environmental adaptation modes; The control platform continuously records user settings and usage data and generates regular analysis reports.

[0012] In a second aspect, the present invention provides a display screen management system, including a data collection module, a parameter adjustment module, an energy consumption management module, a parameter recording module and a user interaction module; the data collection module is used to start the display screen cluster management software and activate the environmental sensor to collect environmental data; the parameter adjustment module is used to adjust and evaluate the display parameters based on the environmental data using a support vector regression SVR model, and monitor user behavior, obtain and analyze the behavior data; the energy consumption management module is used to use the analyzed behavior data to determine the energy consumption management strategy, adjust the display parameters and energy consumption; the parameter recording module is used to record the adjusted parameters and enter the remote management settings; the user interaction module is used to adjust the personalized settings and update the display parameters based on the remote management settings.

[0013] The beneficial effects of the present invention are as follows: the present invention realizes automatic adjustment of display screen parameters through the collaborative work of intelligent management software and environmental sensors, ensuring the best display effect under various environmental conditions. At the same time, by monitoring user behavior and analyzing data, not only can the display parameters be adjusted in an individualized manner to enhance the user experience, but the energy consumption strategy can also be dynamically adjusted according to the analysis results, achieving energy conservation and emission reduction while ensuring display quality. In addition, the remote management function allows users to make personalized settings anytime and anywhere, improving the convenience and flexibility of use. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0015] Figure 1 This is a flow chart of the display screen management and its management and control method in Example 1.

[0016] Figure 2 This is a flowchart of the synchronization setting in Example 1. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0018] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a display screen management and a management and control method thereof, comprising the following steps: S1. Start the display cluster management software and activate the environmental sensor to collect environmental data.

[0019] Furthermore, the display management software is started, the status of all LED displays is initialized, and the integrated environmental sensors are activated; Sensors include but are not limited to temperature sensors, humidity sensors, light sensors, etc.; Real-time monitoring of the display's surroundings through integrated environmental sensors; Environmental data include: temperature, humidity, light intensity; The control platform receives and records environmental data.

[0020] It should be noted that the display management software integrates user behavior monitoring functions, specifically, it uses integrated cameras to capture user viewing behaviors, including but not limited to user viewing time, distance from the display, and direction of sight, etc.; It should be noted that the display management software includes the display cluster management software, which is responsible for the management and scheduling of the entire display cluster; the display state initialization software ensures that each display is in the correct initial state; the environmental sensor data collection software collects data from different environmental sensors; the display parameter adjustment software adjusts the display parameters such as brightness, color temperature, etc. based on environmental data and user behavior; the user behavior monitoring software monitors the user's viewing behavior and provides corresponding analysis reports; the energy consumption management strategy software intelligently manages the energy consumption of the display according to the environment and user behavior data; the display hardware is the actual LED display device, including environmental sensors such as temperature, humidity, light sensors, cameras and other hardware components integrated on the display; It should be noted that through integrated software and hardware facilities, intelligent management of display screen clusters is achieved, which improves the viewing experience while also focusing on the rational use of energy. Through the analysis of environmental data and user behavior data, the system can dynamically adjust display parameters and energy consumption strategies, and also provides remote management and personalized settings functions, allowing users to adjust the display effect according to their preferences.

[0021] S2. Use the support vector regression (SVR) model to adjust and evaluate display parameters based on environmental data, monitor user behavior, and obtain and analyze behavioral data.

[0022] Furthermore, based on the collected environmental data, the control platform uses the support vector regression SVR model to evaluate and adjust the impact of the current environment on the display screen, expressed as: ; in, is the brightness adjustment value, which represents the brightness change that needs to be adjusted. is the current temperature value, measured by the temperature sensor, is the lower limit of the temperature comfort range, is the upper limit of the temperature comfort range, and It is set according to the display manufacturer's recommendations. is the current humidity value, measured by the humidity sensor, is the lower limit of the comfortable humidity range, is the upper limit of the comfortable range of humidity, and It is set according to the display manufacturer's recommendations. L is the current light intensity value, measured by the light sensor. is the lower limit of the comfortable range of light intensity, is the upper limit of the comfortable range of light intensity, and It is set according to the display manufacturer's recommendations. The maximum brightness adjustment amount is determined by the display hardware capabilities; Range Description: when =0, indicating that the brightness does not need to be adjusted; when When >0, it indicates that the brightness needs to be increased; when When <0, it indicates that the brightness needs to be reduced; According to this formula, the appropriate brightness adjustment value ΔB can be calculated through the support vector regression SVR model based on the real-time collected environmental data, including temperature, humidity and light intensity; in this way, the display can automatically adjust its brightness according to the current environmental conditions, achieving the purpose of both ensuring visual comfort and saving energy; in summary, when the environmental conditions change, the model can determine whether the brightness needs to be adjusted and the adjustment range, so as to ensure that users can get the best viewing experience under different ambient light conditions while reducing unnecessary energy consumption; Specifically, by real-time monitoring of environmental data, including temperature, humidity and light intensity, the brightness of the display can be automatically adjusted according to the current environmental conditions; this means that the display can intelligently adapt to changes in the surrounding environment, for example, automatically increase the brightness in a brighter environment and reduce the brightness in a darker environment to maintain the best visibility and viewing experience; then adjust the brightness to match the current environmental conditions, which helps save energy; for example, reduce the need for artificial lighting when there is sufficient natural light, thereby reducing power consumption; while ensuring that the display provides consistent visual comfort under different environmental conditions; for example, adjust the brightness when the temperature is too high or too low to reduce the burden on the user's eyes; combined with user behavior monitoring functions, the control platform can The control platform can automatically adjust the display parameters according to the user's viewing habits; for example, if the control platform detects that the user tends to watch videos during a certain period of time, it can automatically adjust the brightness and other display parameters to provide a better viewing experience; because it is calculated based on real-time data, it can respond quickly to environmental changes, which means that even if the environmental conditions change suddenly, the control platform can react quickly and adjust the brightness to adapt to the new environment; by collecting and analyzing user behavior data, the control platform can better understand the user's preferences and viewing habits, and then optimize the display parameters to provide a more personalized and customized viewing experience; finally, the whole process is automated, so no human intervention is required; this reduces maintenance costs and complexity while ensuring consistency and accuracy; Adjust the display parameters of the display screen according to the calculation results; After adjusting the parameters, update the display effect.

[0023] The display management software further integrates user behavior monitoring functions; Capture user behavior habits through cameras and collect data on user behavior; Monitoring data includes viewing time, distance, and sight direction; The collected user behavior data will be used to analyze users' viewing habits in specific environments using the control platform.

[0024] It should be noted that the specific process of constructing the support vector regression SVR model is as follows: Get real-time data from temperature sensors, humidity sensors, and light sensors; Collect user viewing behavior data of the display screen through the camera; Record the most appropriate brightness settings under different environmental conditions; Preprocess the collected data; Environmental data of temperature, humidity and light intensity were selected as feature data to be input into the model and logarithmically transformed; Select ε-SVR as the model variant and define the target variable of the model as the brightness adjustment amount ΔB; Divide the dataset into training and testing sets; Create a Support Vector Regression (SVR) model using the scikit-learn library in Python. Select the penalty coefficient and kernel function parameters and adjust them through cross-validation to find the best value; The support vector regression (SVR) model is trained using the training dataset, and the model performance is evaluated using the test dataset.

[0025] It should be noted that the most suitable brightness setting means that under given environmental conditions, the brightness setting can ensure that the user does not feel eye fatigue or discomfort when viewing the display screen; while ensuring visual comfort, the brightness setting should also ensure that the content of the display screen is clearly visible, the colors are true, and the details are rich; under the premise of meeting visual needs, the brightness setting should also save energy as much as possible, especially in the case of strong ambient light, to avoid unnecessary high brightness settings that lead to energy waste; for example, in strong outdoor sunlight during the day, the most suitable brightness setting may need to be relatively high to overcome the interference of external light sources and ensure that the content is clearly visible; while in the darker indoor environment at night, the most suitable brightness setting needs to be relatively low to reduce eye pressure and save energy; the most suitable brightness setting is determined by comprehensively considering factors such as environmental factors, user viewing habits, and display hardware capabilities.

[0026] It should be noted that the choice of kernel function depends on the distribution of the data. If the data is linearly separable, you can choose a linear kernel function; if it is a nonlinear relationship, you can try a Gaussian kernel function (radial basis function RBF), etc. The choice of penalty coefficient C can be determined by cross-validation. Usually, a series of different C values ​​are selected, and then trained on the training set, the model performance is evaluated on the validation set, and the C value that makes the model generalization performance optimal is selected.

[0027] It should be noted that the collected data is preprocessed in the following order: data cleaning, filling missing values, data standardization, data transformation, followed by feature selection and feature construction, data partitioning, and for categorical features, it is necessary to convert them into numerical representations, including one-hot encoding and label encoding; It should be noted that the support vector regression (SVR) model is used to intelligently adjust the brightness of the display screen based on real-time environmental data and user viewing behavior data of the display screen. This process is mainly to optimize the visual experience of the display screen while saving energy consumption.

[0028] S3. Use the analyzed behavior data to determine the energy management strategy and adjust the display parameters and energy consumption.

[0029] Furthermore, based on the analyzed behavior data, the energy consumption index is calculated as follows: ; Among them, M is the energy consumption index, which represents the energy consumption management mode of the current system. The value range is [0,1], 0 represents energy saving mode, 1 represents high performance mode, and n is the number of user behavior data points, which is determined according to the sensor sampling frequency and time period. is the weight of the i-th data point, which is determined according to the importance of user behavior. The larger the weight, the greater the impact of the data point on the energy consumption management mode. is the behavior pattern value corresponding to the i-th data point, which is determined according to the user's attention level and has a value range of [0,1]. 0 means that the user does not pay attention to the current display, and 1 means that the user is fully focused on the current display. i is the index variable of the data point. Range Description: When M is close to 0, it indicates that the display screen enters energy-saving mode, and parameters such as brightness and refresh rate can be reduced to reduce energy consumption; When M is close to 1, it indicates that the display enters high-performance mode, at which time parameters such as brightness and refresh rate can be increased to ensure the best viewing experience; The specific threshold setting can be determined according to the actual situation. For example, M<0.3 means entering the energy-saving mode, M>0.7 means entering the high-performance mode, and 0.3<=M<=0.7 means maintaining the standard mode. According to this formula, the energy consumption management strategy of the display screen can be dynamically adjusted according to the user's behavior data; through the calculated energy consumption index M, the control platform can intelligently switch between energy-saving mode and high-performance mode, thereby ensuring the user's viewing experience and effectively saving energy; Specifically, the control platform can adjust the working mode of the display screen in real time according to the different levels of user attention. Even when the user is not paying attention to the display screen, it can automatically enter the energy-saving mode to reduce unnecessary energy consumption; and switch to the high-performance mode when the user is highly focused to ensure the best viewing experience; by setting different thresholds, such as M<0.3 means entering the energy-saving mode, M>0.7 means entering the high-performance mode, and 0.3<=M<=0.7 means maintaining the standard mode, the best balance between energy saving and performance can be found; weight It can be adjusted according to the importance of user behavior, which means that the control platform can decide how to adjust the energy consumption strategy according to the user's concentration level, thereby achieving more refined management; finally, by automatically adjusting display parameters such as brightness and refresh rate, it can ensure that users can get the best viewing experience under various environmental conditions, while reducing energy waste caused by over-adjustment; Implement this energy consumption strategy and monitor the actual energy consumption of the display screen through the control platform; Adjust the working mode of the display screen according to the calculation results; Energy management strategies are sent to the display hardware for real-time updates.

[0030] It should be noted that n refers to the number of user behavior data points collected per unit time (e.g., per minute). This value can be determined based on the sampling frequency of the sensor. For example, if the sensor samples once per second, there will be 60 data points in one minute. It is the weight assigned to each data point. The weight can be determined based on a variety of factors, such as the length of time the user looks at the screen, the distance, etc. Generally, data points with longer gaze time or closer distance will be given higher weights.

[0031] It should be noted that the energy management strategy of the display screen is determined by using the analyzed user behavior data to achieve the goal of both meeting the user's viewing needs and effectively saving energy; by calculating the value of the energy management mode M, the system can automatically adjust the working mode of the display screen according to the user's attention, that is, when the user is not paying attention to the display screen, it enters the energy-saving mode to reduce unnecessary energy consumption, and switches to the high-performance mode when the user is highly concerned, ensuring the best viewing experience.

[0032] S4. Record the adjusted parameters and enter the remote management settings.

[0033] Furthermore, the control platform comprehensively evaluates environmental factors and user behavior data to adjust display parameters and energy consumption strategies; Continuously detect changes in the environment and user behavior; Continuously adjust display parameters and energy management strategies based on detected changes; Establish a feedback loop so that the control platform can optimize display effects and energy management in real time; The control platform will support remote management and personalization via a smartphone app.

[0034] It should be noted that the mobile application should have an intuitive and easy-to-use user interface, which includes adjustment options for various display parameters, such as brightness, contrast, color temperature, etc. Users can adjust these parameters by sliding bars or directly entering values; The mobile application needs to establish a two-way data synchronization mechanism with the display management software. When the user changes the settings in the mobile application, these changes will be immediately synchronized to the display management software and reflected in the actual display effect of the display. At the same time, the status information of the display will also be synchronized to the mobile application so that the user can view the current setting status.

[0035] It should be noted that the feedback mechanism is that the control platform will continuously monitor environmental changes and user behavior changes, and adjust display parameters and energy management strategies based on the detected changes; the application can also collect direct feedback and suggestions from users to help improve the user experience.

[0036] It should be noted that data synchronization means that when users make settings changes in the application, these changes will be immediately synchronized to the display management software and reflected in the actual display effect of the display; if the user makes changes without a network connection, these changes will be saved locally. Once the network is restored, the application will automatically synchronize these changes to the server; The workflow of the data synchronization mechanism is as follows: The mobile application acts as a client to communicate with the server where the display management software is located; The user initiates a request through the application to change the display parameters; The display management software acts as a server to respond to these requests and apply the changes to the display; Use WebSocket protocol or other real-time communication technologies to achieve instant synchronization; When the user changes settings in the app, those changes are immediately sent to the server and synced to the display; When the network connection is unstable, use polling or long polling to check for updates regularly; The application periodically sends requests to the server to ask if there is new data that needs to be synchronized; When the network connection is unstable, data synchronization failure is common. To avoid such problems, you can adopt the following strategies: When a synchronization failure is detected, the synchronization can be automatically retried a certain number of times. If the retries still fail, the error can be logged and the user or administrator can be notified; Allows users to continue working without a network connection and save changes, and when the network is restored, the application automatically synchronizes these changes to the server; If multiple versions of the same data item are found after the network is restored, the application needs to be able to handle these conflicts, either by using timestamps, version numbers, or other logic to determine which version is the most recent; If data synchronization is performed in batches, the synchronized parts can be recorded when the network is interrupted, and the remaining parts can be synchronized from the last interruption point after the network is restored; Provide an interface to show users which data has been successfully synchronized and which data is still to be synchronized, the time and result of the last synchronization, and the reason for any synchronization failure.

[0037] Data protection includes: Use HTTPS instead of HTTP to ensure the security of data transmission. HTTPS uses the SSL / TLS protocol to encrypt data to prevent data from being intercepted or tampered with during transmission; Implement user authentication mechanism to ensure that only authorized users can access and control the display screen. Username and password, OAuth token, JWT and other methods can be used for identity authentication; Set different permission levels to limit the actions that different users can perform, for example, administrators can make all types of setting changes, while ordinary users can only view status or make limited setting changes; Use digital signatures or hash functions (such as SHA-256) to ensure that the data has not been tampered with; Logging all changes, including who made the change and when, helps track potential security issues and troubleshoot.

[0038] It should be noted that users can remotely manage and personalize the various parameters of the display screen through a smartphone application, and data synchronization is achieved between the display management software and the application; by establishing an intuitive and easy-to-use user interface, users can easily adjust display parameters such as brightness, contrast, color temperature, etc. to meet personal preferences; a two-way data synchronization mechanism is established between the application and the display management software to ensure that any changes made by the user are reflected in real time on the display screen, and that changes can be saved even without a network connection, and automatically synchronized after the network is restored; in addition, by continuously monitoring environmental changes and user behavior changes, and adjusting display parameters and energy management strategies based on these changes, the system can optimize display effects and energy management in real time, thereby achieving the best viewing experience while also saving energy.

[0039] S5. Based on the remote management settings, the user will adjust the personalized settings and update the display parameters through the remote management settings.

[0040] Going a step further, based on remote management and personalization by users through smartphone apps; Users can adjust display parameters such as color temperature, brightness, contrast, etc. according to their personal preferences and set specific environmental adaptation modes. Users can adjust settings at any time even when they are not near the display. The control platform continuously records user settings and usage data and generates regular analysis reports.

[0041] The generated analysis reports are pushed to users via email and applications.

[0042] It should be noted that user personalization settings include: The user first needs to log in to the application managed by the display, which can be through username / password, social media account or other authentication method; The application should have an intuitive and easy-to-use user interface for displaying and adjusting various display parameters. Users can enter the personalized settings interface by clicking the corresponding menu or button; About adjusting display parameters: Users can adjust the brightness according to their visual preferences. For example, lower brightness may be required in a darker environment, while higher brightness may be required in a bright environment. Users can adjust the color temperature to change the color bias of the display, making it warmer or cooler; Adjusting the contrast can make an image appear sharper or softer; For application scenarios that require higher dynamic clarity, users can adjust the refresh rate to get a smoother picture; it may also include color saturation, sharpness, HDR mode, etc. About the settings of environmental adaptation mode: Users can choose to turn on the automatic adjustment mode, allowing the display to automatically adjust display parameters based on data from environmental sensors; The application can also provide several preset environmental adaptation modes for users to choose from, such as reading mode, movie mode, energy saving mode, etc. These modes have pre-set parameter combinations suitable for specific scenarios; After completing the settings, the user needs to save the changes to ensure that the new parameters are applied to the display; It should be noted that the regular analysis reports for the personalized settings and control platform include: user activity, such as login frequency and online time; usage of specific functions, such as adjusting brightness, color mode, etc.; the settings or configurations most frequently used by users; changing trends in user preferences in different time periods; the frequency and type of technical problems; troubleshooting time and efficiency; system operation stability, such as crash rate, number of restarts, etc.; resource consumption, such as CPU and memory usage, etc.; collection of direct feedback and suggestions from users; and identification of major problems and dissatisfaction encountered by users.

[0043] Improve user experience with reporting content, specifically: Optimize the performance and usability of the functions most frequently used by users and reduce the resource usage of infrequently used functions; Analyze user preferences, provide more personalized setting options, and recommend new features or settings that users may like; Respond quickly to fault reports, reduce the incidence of system failures, and develop solutions or update guidelines for common technical issues; Adjust the user interface and interaction design based on user feedback and add user education materials to help users better understand and use personalized settings; Develop new features based on user needs and behavior trends, regularly collect user suggestions, and incorporate them into the product roadmap.

[0044] It should be noted that users can remotely manage and personalize various parameters of the display screen through smartphone applications to meet personal preferences and environmental needs; users can easily adjust display properties such as brightness, color temperature, contrast, and select preset environmental adaptation modes such as reading mode, movie mode or energy-saving mode; by continuously recording user settings and usage data, the system can generate regular analysis reports, which are not only pushed to users via email and applications, but also help developers understand user behavior habits, preference trends and the occurrence of technical problems.

[0045] The present embodiment also provides a display screen management and its management control system, including: a data collection module, a parameter adjustment module, an energy consumption management module, a parameter recording module and a user interaction module; the data collection module is used to start the display screen cluster management software and activate the environmental sensor to collect environmental data; the parameter adjustment module is used to adjust and evaluate the display parameters based on the environmental data using the support vector regression SVR model, and monitor the user behavior, obtain and analyze the behavior data; the energy consumption management module is used to use the analyzed behavior data to determine the energy consumption management strategy and adjust the display parameters and energy consumption; the parameter recording module is used to record the adjusted parameters and enter the remote management settings; the user interaction module is used to adjust the personalized settings and update the display parameters based on the remote management settings.

[0046] This embodiment also provides a computer device suitable for display screen management and its management control method, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the display screen management and its management control method proposed in the above embodiment.

[0047] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0048] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the display screen management and its management control method proposed in the above embodiment are implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0049] In summary, the present invention realizes automatic adjustment of display screen parameters through the collaborative work of intelligent management software and environmental sensors, ensuring the best display effect under various environmental conditions. At the same time, by monitoring user behavior and analyzing data, it can not only personalize the display parameters to enhance the user experience, but also dynamically adjust the energy consumption strategy according to the analysis results, thereby achieving energy conservation and emission reduction while ensuring display quality. In addition, the remote management function allows users to make personalized settings anytime and anywhere, which improves the convenience and flexibility of use.

[0050] Example 2, referring to Table 1, is the second example of the present invention. To further verify the advancement of the present invention, experimental simulation data of display screen management and its management and control method are provided.

[0051] First, five LED display screens of different models were selected to form a cluster, each of which was equipped with integrated environmental sensors such as temperature sensor, humidity sensor, light sensor, and a camera for monitoring user behavior.

[0052] Secondly, display cluster management software, display status initialization software, environmental sensor data collection software, display parameter adjustment software, user behavior monitoring software and energy consumption management strategy software are installed on each display screen.

[0053] Finally, 50 participants were recruited who would use the displays under different environmental conditions and be managed and personalized remotely via a smartphone app.

[0054] The details are shown in the following table: Table 1 Comparison table of display screen management system and its management and control experiment

[0055] From the data, we can see that as the environmental conditions change, the brightness adjustment of the display also changes. For example, when display A is in a relatively comfortable environment with a temperature of 22°C, a humidity of 55%, a light intensity of 100lux, and a high user attention level of 0.7, the brightness adjustment reaches 20, which shows that the display can intelligently adjust the brightness according to environmental data and user behavior, thereby providing a better viewing experience.

[0056] The data shows that screen B was adjusted to a higher energy management mode of 0.8 because the user's concentration level was high at 0.9, which means that the system automatically switched to high-performance mode based on the user's concentration level to ensure the best viewing experience. On the contrary, screen E was adjusted to a lower energy management mode of 0.3 because the user's concentration level was low at 0.3, thus entering energy-saving mode and reducing unnecessary energy consumption.

[0057] The data shows that when users look at a display screen for a long time and at a close distance, their attention level is generally higher, so the display screen's brightness adjustment and energy management mode will also be adjusted accordingly; this shows that the system can effectively monitor users' viewing behavior and optimize display effects and energy management accordingly.

[0058] Users can remotely adjust personalized settings such as brightness, color temperature, contrast, etc. through a smartphone application. This remote management function improves user convenience and allows users to customize the display effect according to their preferences.

[0059] Compared with the existing related technologies, the present invention realizes intelligent adjustment of display screen parameters and energy consumption management by integrating environmental sensors and user behavior monitoring functions; in addition, through the introduction of support vector regression model and energy consumption management mode, the present invention can more accurately predict the optimal display parameters and working mode, thereby effectively saving energy while ensuring the viewing experience.

[0060] In summary, the present invention not only optimizes the viewing experience, but also improves energy efficiency, and has significant technical innovation and practicality.

[0061] It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A display screen management and control method, comprising: Start the display cluster management software and activate the environmental sensor to collect environmental data; Use the support vector regression (SVR) model to adjust and evaluate display parameters based on environmental data, monitor user behavior, and obtain and analyze behavior data; Use the analyzed behavior data to determine energy management strategies and adjust display parameters and energy consumption; Record the adjusted parameters and enter the remote management settings; The specific steps of entering the remote management setting include: the control platform comprehensively evaluates environmental factors and user behavior data, adjusts display parameters and energy consumption strategies; continuously detects environmental changes and user behavior changes; continuously adjusts display parameters and energy consumption management strategies according to the detected changes; establishes a feedback loop, and the control platform optimizes display effects and energy consumption management in real time; the control platform will support users to perform remote management and personalized settings through smartphone applications; Based on the remote management settings, users will adjust personalized settings and update display parameters through remote management settings; The method uses a support vector regression (SVR) model based on environmental data to adjust and evaluate display parameters, monitor user behavior, and obtain and analyze behavior data. The specific steps are: Based on the collected environmental data, the control platform uses the support vector regression SVR model to evaluate and adjust the impact of the current environment on the display screen. The expression is: ； in, is the brightness adjustment value, is the current temperature value, is the lower limit of the temperature comfort range, is the upper limit of the temperature comfort range, is the current humidity value, is the lower limit of the comfortable humidity range, is the upper limit of the comfortable range of humidity, L is the current light intensity value, is the lower limit of the comfortable range of light intensity, is the upper limit of the comfortable range of light intensity, is the maximum brightness adjustment amount; when When >0, it indicates that the brightness needs to be increased; when When <0, it indicates that the brightness needs to be reduced; when =0, indicating that the brightness does not need to be adjusted; The display management software further integrates user behavior monitoring functions; Capture user behavior habits through cameras and collect data on user behavior; The collected user behavior data is used to analyze users’ viewing habits in specific environments using the control platform.

2. The display screen management and control method according to claim 1, characterized in that: The specific steps of starting the display cluster management software and activating the environmental sensor to collect environmental data are as follows: Start the display management software, initialize the status of all LED displays, and start the integrated environmental sensors, including temperature sensors, humidity sensors, and light sensors; Real-time monitoring of the display's surroundings through integrated environmental sensors; The control platform receives and records environmental data.

3. The display screen management and control method according to claim 2, characterized in that: The support vector regression SVR model refers to: Get real-time data from temperature sensors, humidity sensors, and light sensors; Collect user viewing behavior data of the display screen through the camera; Record the most appropriate brightness settings under different environmental conditions; Preprocess the collected data; Environmental data of temperature, humidity and light intensity were selected as feature data to be input into the model and logarithmically transformed; Select ε-SVR as the model variant and define the target variable of the model as the brightness adjustment amount ΔB; Divide the dataset into training and testing sets; Create a Support Vector Regression (SVR) model using the scikit-learn library in Python. Select the penalty coefficient and kernel function parameters and adjust them through cross-validation to find the best value; The support vector regression (SVR) model is trained using the training dataset, and the model performance is evaluated using the test dataset.

4. The display screen management and control method according to claim 3, characterized in that: The analyzed behavior data is used to determine the energy consumption management strategy and adjust the display parameters and energy consumption. The specific steps are: Based on the analyzed behavior data, the energy consumption index is calculated, and the expression is: ； Among them, M is the energy consumption index, n is the number of user behavior data points, is the weight of the ith data point, is the behavior pattern value corresponding to the i-th data point, and i is the index variable of the data point.

5. The display screen management and control method according to claim 4, characterized in that: The analyzed behavior data is used to determine the energy consumption management strategy and adjust the display parameters and energy consumption. The specific steps also include: When M<0.3, it indicates that the user prefers energy-saving mode; When M>0.7, it indicates that users prefer high-performance mode; When 0.3≤M≤0.7, it indicates that the user prefers the standard mode; Monitor the actual energy consumption of the display screen through the control platform.

6. The display screen management and control method according to claim 5, characterized in that: Based on the remote management setting, the user will adjust the personalized settings and update the display parameters through the remote management setting. The specific steps are: Based on remote management and personalization by users through smartphone applications; Users adjust display parameters according to personal preferences and set specific environmental adaptation modes; The control platform continuously records user settings and usage data and generates regular analysis reports.

7. A display screen management system, based on the display screen management and control method according to any one of claims 1 to 6, characterized in that: Including data collection module, parameter adjustment module, energy consumption management module, parameter recording module and user interaction module; The data collection module is used to start the display cluster management software and activate the environmental sensor to collect environmental data; The parameter adjustment module is used to adjust and evaluate display parameters based on environmental data using a support vector regression (SVR) model, monitor user behavior, and obtain and analyze behavior data; The energy consumption management module is used to determine the energy consumption management strategy and adjust the display parameters and energy consumption by using the analyzed behavior data; The parameter recording module is used to record the adjusted parameters and enter the remote management settings; The user interaction module is used to adjust personalized settings and update display parameters based on remote management settings.

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