A display screen management system and a management control method thereof

Abstract

The application discloses a display screen management system and a management control method thereof, and relates to the technical field of intelligent display, which comprises the following steps: starting display screen cluster management software and activating environment sensors to collect environment data; adjusting and evaluating display parameters based on the environment data by using a support vector regression (SVR) model, monitoring user behaviors, obtaining and analyzing behavior data; determining energy consumption management strategies by using the analyzed behavior data, adjusting display parameters and energy consumption; recording the adjusted parameters, entering remote management settings; based on the remote management settings, users will adjust personalized settings through the remote management settings, and update display parameters. Through the collaborative work of the intelligent management software and the environment sensors, the application realizes the automatic adjustment of display screen parameters, dynamically adjusts energy consumption strategies according to the analysis results, realizes energy saving and emission reduction while ensuring display quality, and ensures that the best display effect can be obtained under various environmental conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent display, in particular to a display screen management system and a management control method thereof. BACKGROUND

[0002] Display screen management systems and their management control methods have been increasingly valued with the rapid development of display technology. Traditional display screen management systems usually rely on manual intervention to adjust display parameters, lack the ability to automatically adapt to environmental changes, and result in poor display effects under different environmental conditions. In addition, existing systems often fail to fully utilize 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 progress of Internet of Things technology and big data analysis, a new generation of display screen management systems has 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, insufficient energy management strategies, and the like.

[0003] Although existing display screen management systems can achieve a certain degree of automated management, there is still much room for improvement in terms of precise adjustment of display parameters, fine-grained energy management, and meeting user individual needs. In particular, under complex and variable environmental conditions, the environmental perception ability and user behavior analysis ability of existing systems are limited, making it difficult to achieve highly adaptive display effect optimization and energy control. In addition, the implementation of remote management functions is relatively basic and cannot fully meet the individual needs of users. SUMMARY

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

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

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] In a first aspect, the present application embodiment provides a display screen management control method, which includes starting a display screen cluster management software and activating an environmental sensor 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 to obtain and analyze behavior data; determining an energy management strategy using the analyzed behavior data, adjusting display parameters and energy consumption; recording the adjusted parameters and entering remote management settings.

[0008] 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; according to the detected changes, continuously adjusts the display parameters and energy consumption management strategies; establishes a feedback cycle, and the control platform optimizes the display effect and energy consumption management in real time; the control platform will support users to remotely manage and personalize settings through a smart phone application;

[0009] Based on the remote management setting, the user will adjust the personalized setting through the remote management setting, and update the display parameters.

[0010] Further, wherein: the display parameters are adjusted and evaluated based on environmental data using a support vector regression (SVR) model, and user behavior is monitored, behavior data is collected and analyzed, and the specific steps are,

[0011] Based on the collected environmental data, the control platform uses a support vector regression (SVR) model to evaluate and adjust the influence of the current environment on the display screen, and the expression is:

[0012] ;

[0013] Wherein, 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 humidity comfort range, is the upper limit of the humidity comfort range, L is the current light intensity value, is the lower limit of the light intensity comfort range, is the upper limit of the light intensity comfort range, is the maximum brightness adjustment value;

[0014] When >0, it indicates that the brightness needs to be increased;

[0015] When <0, it indicates that the brightness needs to be reduced;

[0016] When =0, it indicates that the brightness does not need to be adjusted;

[0017] The display screen management software further integrates user behavior monitoring function;

[0018] The user behavior habits are captured by the camera, and the user behavior data is collected;

[0019] The collected user behavior data is analyzed by the control platform to understand the user's viewing habits in a specific environment.

[0020] Further, the steps of starting the display screen cluster management software and activating the environmental sensors, collecting environmental data, are as follows:

[0021] Starting the display screen management software, initializing the state of all LED display screens, and starting the integrated environmental sensors, including temperature sensors, humidity sensors, and light sensors.

[0022] Real-time monitoring of the data of the environment around the display screen through the integrated environmental sensors.

[0023] The control platform receives and records the environmental data.

[0024] Further, the support vector regression SVR model refers to,

[0025] Real-time data is obtained from temperature sensors, humidity sensors, and light sensors.

[0026] Collecting user behavior data by camera watching the display screen;

[0027] Recording the most suitable brightness setting under different environmental conditions;

[0028] Preprocessing the collected data;

[0029] Selecting environmental data such as temperature, humidity, and light intensity as feature data input to the model and performing logarithmic conversion;

[0030] Selecting ε-SVR as the model variant, and defining the target variable of the model as the brightness adjustment amount ΔB;

[0031] Dividing the data set into training set and test set;

[0032] Creating a support vector regression SVR model using the scikit-learn library in Python;

[0033] Selecting the penalty coefficient and kernel function parameters to adjust the best value through cross-validation;

[0034] Training the support vector regression SVR model using the training data set and evaluating the model performance using the test data set.

[0035] Further, the steps of determining the energy consumption management strategy and adjusting the display parameters and energy consumption using the analyzed behavior data are as follows:

[0036] Based on the analyzed behavior data, calculating the energy consumption index, the expression is:

[0037] ;

[0038] wherein M is the energy consumption index, n is the number of user behavior data points, is the weight of the i-th data point, is the behavior pattern value corresponding to the i-th data point, i is the index variable of the data point;

[0039] When M < 0.3, it indicates that the user prefers the energy-saving mode;

[0040] When M > 0.7, it indicates that the user prefers the high-performance mode;

[0041] When 0.3 ≤ M ≤ 0.7, it indicates that the user prefers the standard mode;

[0042] The actual energy consumption status of the display screen is monitored by the control platform.

[0043] Further, wherein: the recorded adjusted parameters enter the remote management setting, and the specific steps are,

[0044] Further, wherein: based on the remote management setting, the user will adjust the personalized setting through the remote management setting to update the display parameters, and the specific steps are,

[0045] Based on the remote management and personalized setting by the user through the smart phone application;

[0046] The user adjusts the display parameters according to personal preferences to set specific environment adaptation modes;

[0047] The control platform continuously records user settings and usage data to generate regular analysis reports.

[0048] In a second aspect, the present application provides a display screen management system, comprising 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 environment sensor to collect environment data; the parameter adjustment module is used to adjust and evaluate the display parameters based on the environment data using the support vector regression (SVR) model, and monitor user behavior to obtain and analyze behavior data; the energy consumption management module is used to determine the energy consumption management strategy using the analyzed behavior data, to adjust the display parameters and energy consumption; the parameter recording module is used to record the adjusted parameters to enter the remote management setting; the user interaction module is used to adjust the personalized setting through the remote management setting based on the remote management setting, to update the display parameters.

[0049] The present application has the beneficial effects that: the present application realizes automatic adjustment of display screen parameters through the cooperative work of intelligent management software and environmental sensors, ensures that the best display effect can be obtained under various environmental conditions, at the same time, through monitoring user behavior and analyzing data, not only can the display parameters be personalized adjusted to enhance user experience, but also can the energy consumption strategy be dynamically adjusted according to the analysis result, realizes energy saving and emission reduction while ensuring display quality, in addition, the remote management function enables the user to make personalized settings anytime and anywhere, improves the convenience and flexibility of use. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced as follows, obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0051] Figure 1 The flow chart of the display screen management and its management control method in embodiment 1.

[0052] Figure 2 The flow chart of the synchronization setting in embodiment 1. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned purpose, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification.

[0054] Embodiment 1, refer to Figure 1 and Figure 2 , the first embodiment of the present application, the embodiment provides a display screen management and its management control method, including the following steps:

[0055] S1, start the display screen cluster management software and activate the environmental sensor, collect environmental data.

[0056] Further, start the display screen management software, initialize the state of all LED display screens, and start the integrated environmental sensor;

[0057] The sensor includes but is not limited to temperature sensor, humidity sensor, light sensor, etc.

[0058] Real-time monitoring of the data of the environment around the display screen through the integrated environmental sensor;

[0059] The environmental data includes: temperature, humidity, light intensity;

[0060] The control platform receives and records the environmental data.

[0061] It should be noted that the display screen management software integrates user behavior monitoring function, specifically, through the integrated camera to capture the user's viewing behavior, these behaviors include but not limited to the user's viewing time, the distance from the display screen and the direction of sight, etc.

[0062] It should be noted that the display screen management software includes display screen cluster management software responsible for the management and scheduling of the entire display screen cluster; display screen state initialization software ensures that each display screen is in the correct initial state; environmental sensor data collection software collects data from different environmental sensors; display parameter adjustment software adjusts display parameters such as brightness, color temperature, etc. based on environmental data and user behavior; user behavior monitoring software monitors user viewing behavior and provides corresponding analysis report; energy consumption management strategy software intelligently manages the energy consumption of the display screen according to environmental and user behavior data; display screen hardware is the actual LED display screen equipment, including environmental sensors such as temperature, humidity, light sensors, cameras, etc. hardware components integrated on the display screen;

[0063] It should be noted that through the integrated software and hardware facilities, intelligent management of the display screen cluster is realized, the viewing experience is improved while also focusing on the rational use of energy, through the analysis of environmental data and user behavior data, the system can dynamically adjust the display parameters and energy consumption strategy, and also provides remote management and personalized setting functions, allowing users to adjust the display effect according to their own preferences.

[0064] S2, based on environmental data, using support vector regression SVR model to adjust and evaluate display parameters, and monitoring user behavior, obtaining and analyzing behavior data.

[0065] Further, based on the collected environmental data, the control platform uses the support vector regression SVR model to evaluate and adjust the influence of the current environment on the display screen, the expression is:

[0066] ;

[0067] Wherein, is the brightness adjustment value, representing the brightness change amount that needs to be adjusted, is the current temperature value, measured by the temperature sensor, is the lower limit value of the temperature comfort range, is the upper limit value of the temperature comfort range, and are set according to the display screen manufacturer's recommendations, is the current humidity value, measured by the humidity sensor, is the lower limit value of the humidity comfort range, is the upper limit value of the humidity comfort range, and 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 is set according to the display manufacturer's recommendations, is the maximum brightness adjustment amount, determined by the hardware capabilities of the display;

[0068] Value range:

[0069] When = 0, it indicates that there is no need to adjust the brightness;

[0070] When > 0, it indicates that the brightness needs to be increased;

[0071] When < 0, it indicates that the brightness needs to be reduced;

[0072] According to this formula, appropriate brightness adjustment amount value ΔB can be calculated according to the real-time collected environmental data, including temperature, humidity and light intensity, through the support vector regression SVR model; in this way, the display screen 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 judge whether the brightness needs to be adjusted and the adjustment amplitude, so as to ensure that users can obtain the best viewing experience under different environmental light, while reducing unnecessary energy consumption;

[0073] Specifically, by monitoring environmental data in real-time, including temperature, humidity, and light intensity, the display screen's brightness can be automatically adjusted according to the current environmental conditions. This means that the display screen can intelligently adapt to changes in the surrounding environment, such as automatically increasing brightness in a well-lit environment and reducing brightness in a darker environment to maintain optimal visibility and viewing experience. Adjusting the brightness to match the current environmental conditions helps save energy, such as reducing the need for artificial lighting in natural light conditions, thereby reducing power consumption. At the same time, it ensures that the display screen provides consistent visual comfort in different environmental conditions, such as adjusting 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 automatically adjust display parameters based on the user's viewing habits. For example, if the control platform detects that the user tends to watch videos during a certain time period, it can automatically adjust the brightness and other display parameters to provide a better viewing experience. Since the calculations are based on real-time data, the control platform can quickly respond to environmental changes, meaning that even if the environmental conditions suddenly change, the control platform can quickly react 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 entire process is automated, so there is no need for human intervention. This reduces maintenance costs and complexity, while ensuring consistency and accuracy.

[0074] Adjusting display parameters of the display screen according to the calculation results;

[0075] After adjusting the parameters, updating the display effect.

[0076] The display screen management software further integrates user behavior monitoring functions;

[0077] Capture user behavior habits through the camera and collect user behavior data;

[0078] The monitoring data includes viewing duration, distance, line of sight direction, etc.

[0079] The collected user behavior data is analyzed by the control platform to understand the user's viewing habits in a specific environment.

[0080] It should be noted that the support vector regression (SVR) model is constructed, and the specific process is as follows:

[0081] Real-time data is obtained from temperature sensors, humidity sensors, and light sensors;

[0082] Collect user behavior data for watching the display screen through the camera;

[0083] Record the most appropriate brightness settings under different environmental conditions;

[0084] Preprocessing the collected data;

[0085] Selecting environmental data of temperature, humidity and light intensity as feature data input to the model and performing logarithmic transformation;

[0086] Selecting ε-SVR as the model variant, and defining the target variable of the model as brightness adjustment ΔB;

[0087] Dividing the data set into training set and test set;

[0088] Creating a support vector regression SVR model using scikit-learn library in Python;

[0089] Selecting penalty coefficient and kernel function parameters to adjust through cross-validation to find the optimal value;

[0090] Training the support vector regression SVR model using the training data set, and evaluating the model performance using the test data set.

[0091] It should be noted that the most suitable brightness setting refers to the brightness setting that can ensure that the user will not feel eye fatigue or discomfort when watching the display screen under given environmental conditions; while ensuring visual comfort, the brightness setting should also ensure that the content of the display screen is clear and visible, the color is true, and the details are rich; under the premise of meeting the visual needs, the brightness setting should also save energy as much as possible, especially in the case of strong environmental light, to avoid unnecessary high brightness setting leading to energy waste; for example, in the strong sunlight outdoors during the day, the most suitable brightness setting may need to be relatively high to overcome the interference of external light sources and ensure clear visibility of the content; while in the relatively dark indoor environment at night, the most suitable brightness setting needs to be relatively low to reduce the pressure on the eyes and save energy; the most suitable brightness setting is determined by considering environmental factors, user viewing habits, and display screen hardware capabilities, etc.

[0092] It should be noted that the selection of kernel function depends on the distribution of data. If the data is linearly separable, a linear kernel function can be selected; if it is a nonlinear relationship, a Gaussian kernel function (radial basis function RBF) can be tried, etc.

[0093] The selection of penalty coefficient C can be determined by cross-validation method, usually a series of different C values are selected, then trained on the training set, and the model performance is evaluated on the validation set, and the C value that makes the model generalization performance optimal is selected.

[0094] It should be noted that the collected data is pre-processed in the following order: data cleaning, missing value filling, data standardization, data transformation, followed by feature selection and feature construction, data division, for category features, it needs to be converted to numerical representation, methods include one-hot encoding and label encoding;

[0095] It should be noted that according to the real-time environmental data and the behavior data of the user watching the display screen, the brightness of the display screen is intelligently adjusted using a support vector regression SVR model, which is mainly to optimize the visual experience of the display screen while saving energy consumption.

[0096] S3, using the analyzed behavior data, determine the energy consumption management strategy, adjust the display parameters and energy consumption.

[0097] Further, based on the analyzed behavior data, calculate the energy consumption index, the expression is:

[0098] ;

[0099] Where M is the energy consumption index, representing the current system energy consumption management mode, the value range [0, 1], 0 represents the energy saving mode, 1 represents the high performance mode, n is the number of user behavior data points, determined according to the sensor sampling frequency and time period, is the weight of the ith data point, according to the importance of user behavior to determine the weight, the greater the data point, the greater the impact on the energy consumption management mode, is the behavior mode value corresponding to the ith data point, determined according to the degree of user attention, the value range [0, 1], 0 represents that the user does not pay attention to the current display, 1 represents that the user is completely focused on the current display, i is the index variable of the data point;

[0100] Value range:

[0101] When M approaches 0, it indicates that the display screen enters the energy saving mode, at this time the parameters such as brightness and refresh rate can be reduced to reduce energy consumption;

[0102] When M approaches 1, it indicates that the display screen enters the high performance mode, at this time the parameters such as brightness and refresh rate can be improved to ensure the best viewing experience;

[0103] The specific threshold setting can be determined according to the actual situation, for example, M<0.3 represents entering the energy saving mode, M>0.7 represents entering the high performance mode, and 0.3<=M<=0.7 represents maintaining the standard mode;

[0104] According to the 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;

[0105] Specifically, according to the different degrees of user attention, the control platform can adjust the working mode of the display screen in real time, that is, it can automatically enter the energy-saving mode when the user does not pay attention to the display screen, reducing unnecessary energy consumption; and switch to the high-performance mode when the user pays high attention, ensuring the best viewing experience; by setting different thresholds, for example, M<0.3 represents entering the energy-saving mode, M>0.7 represents entering the high-performance mode, and 0.3<=M<=0.7 represents maintaining the standard mode, the best balance point between energy saving and performance can be found; the weight The importance of user behavior can be adjusted, which means that the control platform can decide how to adjust the energy consumption strategy according to the degree of user attention, thereby achieving more refined management; finally, by automatically adjusting display parameters such as brightness and refresh rate, the user can obtain the best viewing experience under various environmental conditions, while reducing energy waste caused by excessive adjustment;

[0106] Implementing this energy consumption strategy, the control platform monitors the actual energy consumption status of the display screen;

[0107] Adjusting the working mode of the display screen according to the calculation result;

[0108] The energy consumption management strategy is sent to the display screen hardware for real-time updating.

[0109] It should be noted that n refers to the number of user behavior data points collected per unit time (e.g. per minute), which can be determined according to the sampling frequency of the sensor, for example, if the sensor samples once per second, there will be 60 data points in one minute;

[0110] is the weight assigned to each data point, which can be determined based on various factors, such as the length of time the user gazes at the screen, the distance, etc. Generally, data points with longer gazing time or closer distance will be assigned higher weights.

[0111] It should be noted that the analyzed user behavior data is used to determine the energy consumption management strategy of the display screen, in order to achieve the goal of meeting user viewing needs and effectively saving energy; by calculating the value of the energy consumption management mode M, the system can automatically adjust the working mode of the display screen according to the user's attention, that is, it can enter the energy-saving mode when the user does not pay attention to the display screen, reducing unnecessary energy consumption, and switch to the high-performance mode when the user pays high attention, ensuring the best viewing experience.

[0112] S4, record the adjusted parameters and enter the remote management setting.

[0113] Furthermore, the control platform integrates environmental factors and user behavior data to adjust display parameters and energy consumption strategies;

[0114] Continuously detect environmental changes and user behavior changes;

[0115] According to the detected changes, continuously adjust display parameters and energy consumption management strategies;

[0116] Establish a feedback loop, and the control platform optimizes display effects and energy consumption management in real time;

[0117] The control platform will support users to make remote management and personalized settings through the smartphone application.

[0118] It should be noted that the mobile application should have an intuitive and easy-to-use user interface, which includes various display parameter adjustment options such as brightness, contrast, color temperature, etc. Users can adjust these parameters through a sliding bar or directly input numerical values;

[0119] The mobile application needs to establish a two-way data synchronization mechanism with the display screen management software. When users make changes in the mobile application, these changes will be immediately synchronized to the display screen management software and reflected in the actual display effect of the display screen. At the same time, the status information of the display screen will also be synchronized to the mobile application so that users can view the current setting status.

[0120] 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 consumption management strategies according to the detected changes; the application can also collect direct feedback and suggestions from users to help improve user experience.

[0121] It should be noted that data synchronization is when users make changes in the application, these changes will be immediately synchronized to the display screen management software and reflected in the actual display effect of the display screen; if users make changes without network connection, these changes will be saved locally. Once the network is restored, the application will automatically synchronize these changes to the server;

[0122] The data synchronization mechanism workflow is as follows:

[0123] The mobile application as a client communicates with the server where the display screen management software is located;

[0124] Users initiate requests through the application to change display parameters;

[0125] The display screen management software as a server responds to these requests and applies the changes to the display screen;

[0126] Implement instant synchronization using WebSocket protocol or other real-time communication technologies;

[0127] When a user changes settings in the application, these changes are immediately sent to the server and synchronized to the display screen by the server;

[0128] In case of unstable network connection, use polling or long polling to periodically check for updates;

[0129] The application periodically sends requests to the server to ask if there are new data to synchronize;

[0130] For cases where network connection is unstable, data synchronization failures will be common, to avoid such problems, the following strategies can be used:

[0131] When a synchronization failure is detected, it can automatically retry synchronization a certain number of times, if the retry still fails, it can record the error and notify the user or administrator;

[0132] Allow users to continue working without network connection and save changes, when the network is restored, the application automatically synchronizes these changes to the server;

[0133] 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, which can be determined by timestamp, version number or other logic to determine which version is the latest;

[0134] If data synchronization is done in batches, when the network is interrupted, the part that has been synchronized can be recorded, when the network is restored, the remaining part can continue to synchronize from the last interruption;

[0135] Provide an interface to show the user which data has been successfully synchronized, which is still pending, show the last synchronization time and result, as well as any synchronization failure reasons.

[0136] Data protection includes:

[0137] Use HTTPS instead of HTTP to ensure the security of data transmission, HTTPS uses SSL / TLS protocol to encrypt data, preventing data from being intercepted or tampered with during transmission;

[0138] Implement user authentication mechanism to ensure that only authorized users can access and control the display screen, you can use username and password, OAuth token, JWT, etc. for identity verification;

[0139] Different permission levels are set to restrict the operations that different users can perform, for example, administrators can make all types of setting changes, while ordinary users can only view the status or make limited setting changes;

[0140] A digital signature or hash function (such as SHA-256) is used to ensure that the data has not been tampered with;

[0141] All change operations are recorded, including who made the changes and when the changes were made, which helps to track potential security issues and troubleshoot.

[0142] It should be noted that the user can remotely manage and personalize the display screen parameters through the smartphone application, and the data synchronization between the display screen management software and the application is realized; through the establishment of an intuitive and easy-to-use user interface, the user can easily adjust the 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 screen management software, ensuring that any changes made by the user are reflected in real time on the display screen, and changes can also be saved without network connection, and automatically synchronized after network recovery; in addition, by continuously monitoring environmental changes and user behavior changes, and adjusting display parameters and energy management strategies according to these changes, the system can optimize display effects and energy management in real time, so as to achieve the best viewing experience while saving energy.

[0143] S5, based on remote management settings, the user will adjust the personalized settings through remote management settings, update the display parameters.

[0144] Furthermore, based on the user's remote management and personalization settings through the smartphone application,

[0145] The user adjusts the display parameters such as color temperature, brightness, contrast, etc. according to personal preferences, sets specific environmental adaptation modes, and can adjust the settings at any time even if the user is not near the display screen;

[0146] The control platform continuously records user settings and usage data, and generates regular analysis reports.

[0147] For the generated analysis report, it is pushed to the user through email and application.

[0148] It should be noted that the user's personalized settings include:

[0149] The user first needs to log in to the display screen management application, and the login can be through a username / password, a social media account, or other identity verification methods;

[0150] The application should have an intuitive and user-friendly interface for displaying and adjusting various display parameters. Users can enter the personalized settings interface by clicking on the corresponding menu or button;

[0151] Regarding the adjustment of display parameters:

[0152] Users can adjust the brightness according to their visual preferences, such as needing lower brightness in darker environments and higher brightness in brighter environments;

[0153] Users can adjust the color temperature to change the color bias of the display screen, making it warmer or cooler;

[0154] Adjusting the contrast can make the image look more vivid or soft;

[0155] For application scenarios that require higher dynamic clarity, users can adjust the refresh rate to obtain smoother images; it may also include color saturation, sharpness, HDR mode, etc.

[0156] Regarding the setting of the environment adaptation mode:

[0157] Users can choose to turn on the automatic adjustment mode, allowing the display screen to automatically adjust the display parameters based on the data from the environmental sensor;

[0158] The application can also provide several preset environment adaptation modes for users to choose from, such as reading mode, movie mode, energy-saving mode, etc. These modes have already pre-set parameter combinations suitable for specific scenarios;

[0159] After completing the settings, users need to save the changes to ensure that the new parameters are applied to the display screen;

[0160] It should be noted that the personalized settings and control platform should have regular analysis reports, including: user activity, such as login frequency and online time; usage of specific functions, such as adjusting brightness and color mode; most frequently used settings or configurations by users; trends in user preferences over different time periods; frequency and type of technical problems; fault resolution time and efficiency; system stability, such as crash rate and restart frequency; resource consumption, such as CPU and memory usage; collecting direct feedback and suggestions from users; identifying major problems and dissatisfaction encountered by users.

[0161] To improve user experience based on the report content, specifically:

[0162] Optimize the performance and ease of use of the most frequently used functions by users, and reduce resource consumption for less frequently used functions;

[0163] Analyzing user preferences to provide more personalized settings options, recommending new features or settings that users may enjoy;

[0164] Quickly responding to fault reports, reducing system failure rates, and developing solutions or updating guidelines for common technical issues;

[0165] Adjusting user interface and interaction design based on user feedback, increasing user education materials to help users better understand and use personalized settings;

[0166] Developing new features based on user needs and behavior trends, regularly collecting user suggestions and incorporating them into the product roadmap.

[0167] It should be noted that users can remotely manage and personalize the parameters of the display screen through a smartphone application to meet individual preferences and environmental needs; users can easily adjust display properties such as brightness, color temperature, contrast, and select pre-set 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 through email and application, but also help developers understand user behavior habits, preference trends, and the occurrence of technical problems.

[0168] The 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 sensors 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, and monitor user behavior to obtain and analyze behavior data; the energy consumption management module is used to determine energy consumption management strategies using analyzed behavior data, adjust display parameters and energy consumption; the parameter recording module is used to record adjusted parameters and enter remote management settings; the user interaction module is used to allow users to adjust personalized settings through remote management settings and update display parameters based on remote management settings.

[0169] The 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 realize the display screen management and its management control method as proposed in the above embodiment.

[0170] The computer device can be a terminal, which comprises a processor, a memory, a communication interface, a display screen and an input device connected by a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises 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 operating system and the computer program in the non-volatile storage medium to run. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved by WIFI, an operator network, NFC (Near Field Communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0171] The embodiment also provides a storage medium having a computer program stored thereon, the program being executed by a processor to implement the display screen management and the management control method thereof as proposed in the above embodiment. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk or an optical disk.

[0172] In summary, the present application realizes automatic adjustment of display screen parameters through the cooperative work of intelligent management software and environmental sensors, ensures that the best display effect can be obtained under various environmental conditions, and through monitoring user behavior and analyzing data, not only can the display parameters be adjusted individually to enhance user experience, but also can the energy consumption strategy be adjusted dynamically according to the analysis results, so that energy saving and emission reduction are realized while the display quality is ensured. In addition, the remote management function enables users to make individual settings anytime and anywhere, thereby improving the convenience and flexibility of use.

[0173] Example 2, refer to Table 1, is the second embodiment of the invention, to further verify the advancement of the invention, the experimental simulation data of the display management and its management control method are given.

[0174] First, 5 different models of LED display screens were selected to form a cluster, each equipped with integrated environmental sensors such as temperature sensors, humidity sensors, light sensors, and a camera for monitoring user behavior.

[0175] Secondly, display cluster management software, display state initialization software, environmental sensor data collection software, display parameter adjustment software, user behavior monitoring software, and energy management strategy software were installed on each display screen.

[0176] Finally, 50 participants were recruited who would use these display screens under different environmental conditions and make remote management and personalized settings through a smartphone app.

[0177] The specific data is shown in the following table:

[0178] Table 1: Comparison of display management system and its management control experiment

[0179]

[0180] From the data, it can be seen that as the environmental conditions change, the brightness adjustment of the display screen also changes. For example, when display screen A is in a more comfortable environment with a temperature of 22°C, humidity of 55%, light intensity of 100 lux, and user attention level of 0.7, the brightness adjustment reaches 20, indicating that the display screen can intelligently adjust the brightness according to environmental data and user behavior to provide a better viewing experience.

[0181] The data shows that display screen B was adjusted to a higher energy management mode of 0.8 because the user's attention level was 0.9, which means the system automatically switched to a high-performance mode according to the user's focus level to ensure the best viewing experience. Conversely, display screen E was adjusted to a lower energy management mode of 0.3 because the user's attention level was 0.3, which means it entered an energy-saving mode, reducing unnecessary energy consumption.

[0182] The data shows that when users watch the display screen for a long time and at a close distance, the attention level is generally high, so the brightness adjustment and energy management mode of the display screen are also adjusted accordingly; this shows that the system can effectively monitor user viewing behavior and optimize display effects and energy management accordingly.

[0183] The user can remotely adjust personalized settings such as brightness, color temperature, contrast, etc. through a smartphone application, which improves user convenience and allows the user to customize the display effect according to their own preferences.

[0184] Compared with the prior art, the present application realizes intelligent adjustment of display screen parameters and energy consumption management by integrating environmental sensors and user behavior monitoring functions. In addition, by introducing support vector regression models and energy consumption management modes, the present application can more accurately predict the optimal display parameters and working mode, thereby effectively saving energy while ensuring the viewing experience.

[0185] In summary, the present application not only optimizes the viewing experience but also improves energy utilization efficiency, with significant technical innovation and practicality.

[0186] It should be noted that the above examples are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A display screen management control method, comprising: starting a 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 to obtain and analyze behavior data; determining energy consumption management strategies using the analyzed behavior data, adjusting display parameters and energy consumption; recording the adjusted parameters and entering a remote management setting; characterized in that 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 changes in the environment and user behavior; continuously adjusts display parameters and energy consumption management strategies based on the detected changes; establishes a feedback loop to optimize display effects and energy consumption management in real time by the control platform; and the control platform supports users to remotely manage and personalize settings through a smartphone application; based on the remote management setting, the user will update the display parameters by remotely setting personalized settings; the specific steps of adjusting and evaluating display parameters based on environmental data using a support vector regression (SVR) model, and monitoring user behavior to obtain and analyze behavior data are as follows: based on the collected environmental data, the control platform uses a support vector regression (SVR) model to evaluate and adjust the impact of the current environment on the display screen, expressed as: ； wherein, is a luminance adjustment magnitude, is a current temperature value, is a lower comfort range value for temperature, is an upper comfort range value for temperature, is a current humidity value, is a lower comfort range value for humidity, is an upper comfort range value for humidity, L is a current light intensity value, is a lower comfort range value for light intensity, is an upper comfort range value for light intensity, is a maximum luminance adjustment magnitude; When > 0 indicates that the brightness needs to be increased; When <0 indicates that the luminance needs to be reduced; When = 0, it indicates that no adjustment of brightness is needed; the display screen management software further integrates user behavior monitoring functions; user behavior habits are captured through a camera, and user behavior data is collected; the collected user behavior data is analyzed by the control platform to determine the user's viewing habits in a specific environment; the support vector regression (SVR) model refers to real-time data is obtained from temperature sensors, humidity sensors, and light sensors; behavior data of users watching the display screen is collected through a camera; the most suitable brightness setting under different environmental conditions is recorded; the collected data is preprocessed; environmental data such as temperature, humidity, and light intensity are selected as characteristic data and input into the model and subjected to logarithmic conversion; ε-SVR is selected as a model variant, and the target variable of the model is defined as the brightness adjustment amount ΔB; the data set is divided into a training set and a test set; a support vector regression (SVR) model is created using the scikit-learn library in Python; the penalty coefficient and kernel function parameters are adjusted to find the best value through cross-validation; the support vector regression (SVR) model is trained using the training data set, and the model performance is evaluated using the test data set.

2. The display screen management control method of claim 1, wherein: the specific steps of starting the display screen cluster management software and activating environmental sensors to collect environmental data are as follows: start the display screen management software, initialize the status of all LED display screens, and start the integrated environmental sensors, including temperature sensors, humidity sensors, and light sensors; real-time monitoring of the data of the environment around the display screen is performed through the integrated environmental sensors; the control platform receives and records the environmental data.

3. The display screen management control method of claim 1, wherein: the specific steps of determining energy consumption management strategies using the analyzed behavior data, adjusting display parameters and energy consumption are as follows: based on the analyzed behavior data, calculate the energy consumption index, expressed as: ； wherein M is an energy consumption index, n is the number of user behavior data points, is a weight of the i-th data point, is a behavior pattern value corresponding to the i-th data point, i is an index variable of the data point.

4. The display screen management control method of claim 3, wherein: The use of analyzed behavior data, determine energy consumption management strategy, adjust display parameters and energy consumption, the specific steps also include, When M < 0.3, it indicates that the user prefers the energy saving mode; When M > 0.7, it indicates that the user prefers the high performance mode; When 0.3 ≤ M ≤ 0.7, it indicates that the user prefers the standard mode; The control platform monitors the actual energy consumption of the display screen.

5. The display screen management control method of claim 1, wherein: The user will set the personalized settings through the remote management settings, update the display parameters based on the remote management settings, Based on the user's remote management and personalized settings through the smartphone application; The user adjusts the display parameters according to personal preferences and sets specific environment adaptation modes; The control platform continuously records user settings and usage data and generates regular analysis reports.

6. A display screen management system based on the display screen management control method according to any one of claims 1 to 5, characterized by: It includes 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 sensors 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 to monitor user behavior, obtain and analyze behavior data; The energy consumption management module is used to determine energy consumption management strategies using analyzed behavior data, adjust 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 set personalized settings through the remote management settings based on the remote management settings, and to update the display parameters.

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