Intelligent screen connection method and system for double-screen display screen

Abstract

The invention relates to the technical field of intelligent screen connection, in particular to an intelligent screen connection method and system for a double-screen display screen, and the method comprises the following steps: collecting the screen resolution and size data of a double-screen device, recording the visual output characteristics of each screen, monitoring the response time and output quality of the device, and integrating the output screen attribute comprehensive record. According to the method and the device, the detailed screen attributes, including resolution and size data, of the double-screen equipment are collected, the screen configuration process is optimized, the adaptability and personalized configuration capability of content display are improved, the position of an application window and the layout of screen content are allowed to be automatically adjusted through real-time monitoring and user behavior analysis functions, the fluency of user interaction is remarkably improved, and the user experience is improved. According to the method, the applications which are dynamically migrated and frequently used can be automatically adjusted between the main screen and the auxiliary screen, the use of a working space is optimized through the interface layout adjustment of the double screens, the visual experience and the operation convenience are improved through accurate color and resolution matching, and the information processing time is effectively shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent connected screens, and particularly to a method and system for intelligent connection of dual-screen displays. Background Art

[0002] The technical field of intelligent connected screens includes information interaction and display technologies between multiple display devices, involving the interconnection and interoperability of hardware devices, the support of operating systems, and the management at the application level. When systematically introducing this technical field, the core content mainly focuses on the sharing of display data, the optimization of screen layout, and the improvement of user interaction experience. This generally includes, but is not limited to, screen mirroring, extended desktop, and the adaptation processing of applications in a multi-display environment.

[0003] Among them, the intelligent connection method for dual-screen displays refers to a technical means of using hardware interfaces or wireless transmission technologies to achieve content synchronous display or independent content display on two display devices. The technical matters addressed include the real-time transmission of display data, resolution matching, and automatic adjustment of display configurations. The specific methods involve using specific interface protocols and screen management software to complete the effective pairing and data processing of display devices through these means.

[0004] Existing intelligent connection technologies mainly rely on hardware interfaces and basic software protocols to achieve screen information synchronization, but lack in-depth understanding of user personalized needs and automatic adjustment functions. The application adaptation and screen management in a multi-screen environment are usually rather rigid, resulting in users having to frequently manually adjust screen settings or application layouts, increasing the operation burden. Especially in differentiating the display priority of primary and secondary screen content, poor results may lead to misplacement of key information, and users must frequently switch their line of sight or perform screen operations, reducing work efficiency and possibly causing visual fatigue. Summary of the Invention

[0005] The object of the present invention is to solve the drawbacks existing in the prior art, and to propose an intelligent connection method for dual-screen displays.

[0006] To achieve the above object, the present invention adopts the following technical scheme: An intelligent connection method for dual-screen displays, comprising the following steps:

[0007] S1: Collect the screen resolution and size data of the dual-screen device, record the visual output characteristics of each screen, and simultaneously monitor the response time and output quality of the device to integrate and record the comprehensive screen attributes;

[0008] S2: Analyze the resolution and size data of each screen according to the comprehensive screen attribute record, automatically identify and mark the primary and secondary screens, configure the content display priority, adjust the color settings of each screen according to the content display priority configuration result, and match the corresponding content types to be displayed to obtain the screen working mode setting result;

[0009] S3: According to the set result of the screen working mode, monitor the user's application usage data and screen interaction behaviors in real time. By analyzing the user's activity patterns on the dual screens, perform content dynamic migration, automatically adjust the positions of application windows according to the content dynamic migration result, and through continuous tracking, confirm the optimization of the position of each application and the allocation of screen resources, match the user's habits, and generate a content dynamic allocation plan;

[0010] S4: Based on the content dynamic allocation plan, adjust the interface layout of the dual screens, confirm that the main screen displays key work content, and the secondary screen provides auxiliary display, and perform seamless switching and interaction of the content between the two screens to obtain the user interface layout.

[0011] As a further solution of the present invention, the output step of the comprehensive recording of screen attributes is as follows:

[0012] S111: Collect the pixel values and actual sizes of the width and height of each screen through the device interface, obtain the screen resolution and size data from the hardware layer, and generate screen specification data;

[0013] S112: Based on the screen specification data, count the color depth and contrast ratio of each screen, and use the formula:

[0014]

[0015] Calculate the visual output characteristic index D to obtain the visual output characteristic record, where C depth represents the color depth, R contrast represents the contrast ratio, and P screen represents the screen pixel density;

[0016] S113: Use the visual output characteristic record, combine the refresh rate and latency time of the screen, perform a comprehensive performance evaluation on each screen, and generate a comprehensive record of screen attributes.

[0017] As a further solution of the present invention, the configuration step of the content display priority is as follows:

[0018] S211: Based on the comprehensive record of screen attributes, extract the resolution and size data, analyze the display capabilities of each screen, and generate the analysis result of screen resolution and size;

[0019] S212: Based on the analysis result of screen resolution and size, automatically identify and mark the primary and secondary attributes of the screen, combine the usage frequency and content importance of the screen, and generate the primary and secondary screen marking result;

[0020] S213: According to the primary and secondary screen marking result, configure the content display priority, and use the formula:

[0021]

[0022] Calculate the display priority P of the i-th screen i , and generate the content display priority configuration result, where U i represents the main screen value obtained based on the screen usage frequency, and V i represents the secondary screen value obtained based on the content importance, and H i represents the screen usage history impact score.

[0023] As a further solution of the present invention, the steps for obtaining the screen working mode setting result are as follows:

[0024] S221: According to the content display priority configuration result, perform detailed control on the brightness, contrast, color temperature, and color saturation of the screen, optimize the color configuration of high-priority content by analyzing the content type and user preferences, and generate a screen color adjustment plan;

[0025] S222: Utilize the screen color adjustment plan to dynamically analyze the content type currently displayed on the screen, and apply a predetermined color mode to confirm the optimal match between the visual output and the content type, and obtain the matching result of the screen display content and the color setting;

[0026] S223: Integrate the screen color adjustment plan and the matching result of the screen display content and the color setting, adjust the resolution and refresh rate of the screen to optimize the display effect, and combine the visual requirements of the differential content and the screen characteristics to generate the screen working mode setting result.

[0027] As a further solution of the present invention, the dynamic migration step of the content is as follows:

[0028] S311: According to the screen working mode setting result, capture the operation behavior data of the user in the differential application in real time, and at the same time monitor the touch and keystroke interactions of the screen to generate user screen interaction behavior monitoring data;

[0029] S312: Extract the key activity patterns from the user screen interaction behavior monitoring data, analyze the application usage frequency and duration between the main screen and the secondary screen of the user, and use the formula:

[0030]

[0031] Calculate the dual-screen activity mode index A mode , and generate the user dual-screen activity mode analysis result; where freq app is the application usage frequency, dur app is the usage duration, and N is the total number of applications;

[0032] S313: Based on the analysis result of the user's dual-screen activity pattern, dynamically adjust the content distribution. By evaluating the interaction intensity and preference settings of the user on the dual screens, automatically migrate and adjust the application content to generate a content dynamic migration result.

[0033] As a further solution of the present invention, the steps for obtaining the content dynamic allocation scheme are as follows:

[0034] S321: According to the content dynamic migration result, analyze the application interaction data of the user on the dual screens, identify the key used applications, determine the new positions and sizes of the application windows, match the user's interaction habits, and generate application position adjustment data;

[0035] S322: Utilize the application position adjustment data to implement a continuous tracking mechanism, monitor the user's interaction response to the new window layout, count the number of times of touching the screen and the sliding distance, evaluate the actual utility of the window position adjustment, and generate screen resource optimization data;

[0036] S323: Based on the screen resource optimization data, comprehensively evaluate the position and resource allocation effects of each application, verify the matching degree of the configuration with the user's operation habits and preferences, and perform dynamic adjustment until the optimal configuration is achieved to generate a content dynamic allocation scheme.

[0037] As a further solution of the present invention, the steps for obtaining the user interface layout are as follows:

[0038] S411: Based on the content dynamic allocation scheme, clarify the functional division of the main screen and the secondary screen. The main screen is responsible for displaying key operation information, and the secondary screen shows auxiliary information to generate a dual-screen role clarification scheme;

[0039] S412: According to the dual-screen role clarification scheme, perform content optimization and layout design. According to the priority ranking, the main screen centrally displays high-priority tasks, and the secondary screen shows low-priority and background tasks to obtain a dual-screen content and layout optimization scheme;

[0040] S413: Execute the dual-screen content and layout optimization scheme, develop and test the dynamic interaction logic of the dual-screen interface, and perform real-time content update between the two screens according to the user's operation to obtain the user interface layout.

[0041] A dual-screen display intelligent connection system includes:

[0042] The screen parameter acquisition module collects the pixel values and actual sizes of the width and height of each screen through the device interface, counts the color depth and contrast ratio of each screen, calculates the visual output characteristic index, combines the refresh rate and delay time of the screen, conducts a comprehensive performance evaluation on each screen, and generates a comprehensive record of the screen attributes;

[0043] Based on the comprehensive screen property record, the screen property analysis module extracts resolution and size data, analyzes the display capabilities of each screen, automatically identifies and marks the primary and secondary properties of the screen, analyzes the content type and user preferences, optimizes the color configuration of high-priority content, dynamically analyzes the content type currently displayed on the screen, and applies a predetermined color mode. Combining the visual requirements of different content and the screen characteristics, it generates the screen working mode setting result;

[0044] Based on the screen working mode setting result, the user behavior monitoring module captures the operation behavior data of the user in different applications in real time, monitors the touch and keystroke interactions of the screen, analyzes the application usage frequency and duration of the user between the primary screen and the secondary screen, dynamically adjusts the content distribution and identifies the key applications in use, conducts continuous tracking, comprehensively evaluates the location and resource allocation effect of each application, and generates the content dynamic allocation plan;

[0045] Based on the content dynamic allocation plan, the content dynamic allocation module clarifies the functional division of the primary screen and the secondary screen, conducts content optimization and layout design, develops and tests the dynamic interaction logic of the dual-screen interface, and performs real-time content update between the two screens according to the user operation to obtain the user interface layout.

[0046] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0047] In the present invention, by collecting the detailed screen properties of the dual-screen device, including resolution and size data, the screen configuration process is optimized, the adaptability of content display and the personalized configuration ability are improved. The real-time monitoring and user behavior analysis functions allow automatic adjustment of the application window position and the screen content layout, significantly enhancing the fluency of user interaction. Through dynamic migration, frequently used applications can be automatically adjusted between the primary screen and the secondary screen. The adjustment of the dual-screen interface layout not only optimizes the use of the working space, but also improves the visual experience and operation convenience through precise color and resolution matching, effectively reducing the information processing time. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 is the main step flowchart of the present invention;

[0049] Figure 2 is the output flowchart of the comprehensive screen property record of the present invention;

[0050] Figure 3 is the configuration flowchart of the content display priority of the present invention;

[0051] Figure 4 is the acquisition flowchart of the screen working mode setting result of the present invention;

[0052] Figure 5 is the dynamic migration flowchart of the content of the present invention;

[0053] Figure 6 Flow chart for obtaining the dynamic allocation scheme of the present invention's content

[0054] Figure 7 Flow chart for obtaining the user interface layout of the present invention Detailed implementation manners

[0055] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0057] Please refer to Figure 1 , a method for intelligent screen connection of a dual-screen display screen, comprising the following steps:

[0058] S1: Collect the screen resolution and size data of the dual-screen device, record the visual output characteristics of each screen, and at the same time monitor the response time and output quality of the device, and integrate and output the comprehensive record of screen attributes;

[0059] S2: Analyze the resolution and size data of each screen according to the comprehensive record of screen attributes, automatically identify and mark the main and secondary screens, configure the content display priority, adjust the color settings of each screen according to the configuration result of the content display priority, and match the corresponding content type to be displayed to obtain the screen working mode setting result;

[0060] S3: According to the screen working mode setting result, monitor the user's application usage data and screen interaction behavior in real time, perform content dynamic migration by analyzing the user's activity mode on the dual screen, automatically adjust the application window position according to the content dynamic migration result, and confirm the optimization of each application position and screen resource allocation through continuous tracking, match the user's habits, and generate a content dynamic allocation scheme;

[0061] S4: Based on the content dynamic allocation scheme, adjust the interface layout of the dual screen, confirm that the main screen displays the key working content, the secondary screen displays auxiliary content, and perform seamless switching and interaction of the content between the two screens to obtain the user interface layout.

[0062] The comprehensive record of screen properties includes resolution metrics, size metrics, response metrics, and quality metrics; the screen working mode setting results include primary / secondary screen identification results, display priority setting results, and color matching strategies; the content dynamic allocation scheme includes window adjustment strategies, resource optimization configuration records, and habit adaptation strategies; the user interface layout includes key content layout, auxiliary content layout, and interaction synchronization mechanisms.

[0063] Please refer to Figure 2 , the output steps of the comprehensive record of screen properties are as follows:

[0064] S111: Collect the pixel values and actual sizes of the width and height of each screen through the device interface, obtain the screen resolution and size data from the hardware layer, and generate screen specification data;

[0065] Directly communicate with the device through the physical hardware interface. First, read the pixel values of the width and height of the screen. The data acquisition is implemented through a programming language, and the data is directly extracted from the registration information of the graphics processing unit (GPU) to ensure the accuracy and real-time nature of the data. In addition, the same interface also extracts the actual size data of the screen, including the diagonal length and area. The data is usually embedded in the non-volatile memory of the screen, such as EEPROM, which records the factory settings and physical specification parameters. Not only the number of pixels of each screen is obtained, but also the actual size is obtained, which is crucial for calculating the screen pixel density. The calculation formula of the screen pixel density is the number of pixels divided by the screen size, and finally detailed screen specification data is generated, providing basic data support for subsequent quality evaluation and use.

[0066] S112: Based on the screen specification data, count the color depth and contrast ratio of each screen, using the formula:

[0067]

[0068] Calculate the visual output characteristic index D to obtain the visual output characteristic record, where C depth represents the color depth, R contrast represents the contrast ratio, and P screen represents the screen pixel density;

[0069] Assume the color depth C depth = 24 bits, the contrast ratio R contrast = 1000:1, and the screen pixel density P screen = 300 PPI,

[0070] Calculate the product of the color depth and the contrast ratio:

[0071] C depth ×R contrast= 24 × 1000 = 24000

[0072] Divide the obtained product by the pixel density to obtain the comprehensive visual output characteristic index:

[0073]

[0074] The results show that the comprehensive visual output characteristic index of the screen is 80. The higher the value, the finer the display effect of the screen, which is conducive to providing a richer visual experience. A high D value indicates better display quality, meaning that the screen can better restore visual content with rich colors and distinct light and dark contrasts.

[0075] S113: Use the visual output characteristic record, combined with the refresh rate and latency time of the screen, to conduct a comprehensive performance evaluation of each screen and generate a comprehensive record of screen attributes;

[0076] After obtaining the visual output characteristic data of the screen, monitor the response time and output quality of the screen by deploying multiple sensors. First, the refresh rate of the screen is monitored through a frequency counter connected to each screen, and the counter can record the number of times the screen is updated per second in real time. At the same time, the measurement of the latency time is completed by a time synchronization sensor, which can be accurate to milliseconds and record the actual time from the input signal to the screen response. The sensor data is aggregated and analyzed by the central processing unit using a customized data analysis script, which can parse the raw data and convert it into easy-to-understand performance metrics such as the average refresh rate and average response time. In addition, the monitoring of the output quality involves the evaluation of color accuracy and brightness uniformity, which is carried out by a color analyzer and a luminance meter. The device regularly scans different areas of the screen to ensure the consistency of the color and brightness of the entire screen, and details the performance characteristics and potential advantages or defects of each screen.

[0077] Please refer to Figure 3 , and the configuration steps for the content display priority are as follows:

[0078] S211: Based on the comprehensive record of screen attributes, extract the resolution and size data, analyze the display capabilities of each screen, and generate the analysis results of screen resolution and size;

[0079] Extract the resolution and size data from the comprehensive screen property records. First, perform data cleaning to eliminate records that deviate significantly from the normal values, such as screen data with extremely high or low resolutions. This is done by comparing each data point with the mean and standard deviation of all the data. A data point that deviates from the mean by more than three standard deviations is considered an outlier and is excluded. Then, classify the cleaned data. According to the screen size range, the data is divided into three categories: small size, medium size, and large size. For each category of data, sort the data according to the resolution from low to high. Then, use statistical analysis methods to perform descriptive analysis on the classified data, calculate the average resolution and size of each type of screen, as well as the dispersion of the distribution. The statistical results provide a quantitative basis for the analysis of the screen display capabilities. Finally, a report containing the detailed resolution and size analysis results of various types of screens is generated.

[0080] S212: Based on the screen resolution and size analysis results, automatically identify and mark the primary and secondary attributes of the screen. Combine the usage frequency and content importance of the screen to generate the primary and secondary screen marking results.

[0081] Based on the screen resolution and size analysis results, automatically mark the primary and secondary attributes of the screen. First, it depends on processing the datasets of the screen usage frequency and content importance. For the usage frequency, collect the number of times the screen is turned on and the usage duration within a specific time period. For the content importance, analyze the types of content displayed on the screen and the user interaction frequency, such as indicators like clicks and viewing duration. Then, standardize the data to ensure fairness in comparison between different screens. Subsequently, apply a logistic regression model, which predicts the primary and secondary screen attributes based on the screen usage data. The training process of the model includes selecting appropriate features, such as usage frequency and content interaction indicators, and adjusting the model parameters to maximize the prediction accuracy. Finally, determine the primary and secondary attributes of each screen through the probability values output by the model. Those with high probabilities are marked as the primary screen, and those with low probabilities are marked as the secondary screen. The generated primary and secondary screen marking results provide a basis for the subsequent configuration of the content display priority.

[0082] S213: According to the primary and secondary screen marking results, configure the content display priority, using the formula:

[0083]

[0084] Calculate the display priority Pi of the i-th screen i , and generate the content display priority configuration result, where U i represents the primary screen value obtained based on the screen usage frequency, V i represents the secondary screen value obtained based on the content importance, and H i represents the screen usage history impact score.

[0085] Set the usage frequency Ui of screen ii is 50 times per month, and the content importance score is V i is 30 points, and the impact score of the screen usage history is H i is 0.5. First, calculate the sum of the squares of the absolute values inside. The calculation steps are as follows:

[0086] Calculate That is

[0087] 50 2 = 2500

[0088] Take the absolute value of V i

[0089] |30| = 30

[0090] Add these two values together to get

[0091] 2500 + 30 = 2530

[0092] Take the square root of the sum to get

[0093]

[0094] Then calculate the exponential and constant parts in the denominator:

[0095] Calculate the exponential part e -Hi That is

[0096] e -0.5 ≈ 0.606

[0097] Add this value to 1 to get

[0098] 1 + 0.606 = 1.606

[0099] Perform the calculation of the final display priority:

[0100]

[0101] The result shows that the content display priority of screen i is 31.32, indicating that screen i is suitable for carrying relatively important content because the comprehensive score of its usage frequency and content importance is relatively high, resulting in a relatively high display priority, thus optimizing content distribution and user experience in a multi-screen environment.

[0102] Please refer to Figure 4 , and the steps to obtain the screen working mode setting result are as follows:

[0103] S221: According to the content display priority configuration result, perform detailed control of the screen brightness, contrast, color temperature, and color saturation. By analyzing the content type and user preferences, optimize the color configuration of high-priority content to generate a screen color adjustment plan; ​

[0104] Starting from the results of the content display priority, the color adjustment of each screen is carried out first. The adjustment is divided into multiple stages according to the differences in screen usage. In the first stage, the brightness and contrast are adjusted to ensure the clarity and visibility of the content. By reading the metadata of the content, the main types of the content are analyzed, such as text or image, and the brightness is adjusted accordingly. For example, the brightness of text content is increased by 10% to improve the reading comfort; the contrast adjustment is based on the color depth of the image content, and the contrast of dark images is increased to highlight the details. In the second stage, the color temperature and saturation are adjusted. The color temperature adjustment is based on the emotional color of the content. For example, cold colors are used for news reports, while warm colors are used for entertainment videos to increase the viewing attraction. The saturation adjustment takes into account the visual impact. The saturation of dynamic content such as movies and videos is increased, and static images are adjusted according to the artistic style, and adjustment commands are sent to the display controller of each screen to complete the real-time adjustment.

[0105] S222: Using the screen color adjustment scheme, dynamically analyze the content type currently displayed on the screen, and apply a predetermined color mode to confirm the optimal match between the visual output and the content type, and obtain the matching result of the screen display content and the color setting;

[0106] After the color adjustment is completed, the display mode of each screen is precisely matched with the type of the displayed content. Specifically, the types of content currently displayed on the screen are detected, and the main features of the content are analyzed, such as color distribution, dynamic range, and level of detail. Then, a preset display mode is selected according to the features. For example, for mixed text and image content, a display mode that enhances text clarity is selected, while for high-dynamic-range videos, a mode that enhances color and contrast is selected. The screen has multiple built-in display modes, and each mode is optimized for specific content features. At the same time, the content changes are monitored in real time, and the display mode is adjusted according to the new content features to ensure the consistency and high quality of the viewing experience.

[0107] S223: Integrate the information of the screen color adjustment scheme and the matching result of the screen display content and the color setting, adjust the resolution and refresh rate of the screen to optimize the display effect, and combine the visual requirements of different content and the screen characteristics to generate the setting result of the screen working mode;

[0108] Integrate the color and display mode settings for different screens to form a unified screen working mode setting scheme. The integration work is first executed by the central processing unit, which collects the color settings and content matching data of each screen, analyzes the consistency and conflicts in the data, and generates an optimized working mode configuration file. Then, this configuration file is distributed to each connected display device, and each device adjusts its resolution, refresh rate, and other relevant display parameters according to the received configuration. The centralized management method allows administrators to monitor and adjust the status of all screens from a central location, ensuring the best display effect in different scenarios. In addition, it can further learn and optimize based on user feedback and usage data, continuously improving the adaptability and efficiency of the display strategy.

[0109] Please refer to Figure 5 , and the dynamic migration steps of the content are as follows:

[0110] S311: According to the screen working mode setting result, capture the operation behavior data of the user in different applications in real time, and at the same time monitor the touch and typing interactions of the screen to generate user screen interaction behavior monitoring data;

[0111] In the process of capturing the operation behavior data of the user in different applications in real time, first, it is necessary to set data capture nodes, which are respectively deployed in the application launcher and the system interface of the user device. The nodes are responsible for monitoring and recording each application startup, shutdown, and screen switching event of the user. Whenever the user triggers these events, the data node will send the event type, timestamp, duration, and details of the relevant application to the data collection server; secondly, the server will extract the operation mode of the user from the received data, such as frequently used applications, the frequency of application switching, and the average usage time of each application, and classify and summarize the data to form a high-level view of the user's behavior; finally, by analyzing the summarized data, identify the user's screen usage habits, such as which applications are preferred and when the activity level increases, to generate user screen interaction behavior monitoring data to support the subsequent screen management strategy.

[0112] S312: Extract the key activity patterns from the user screen interaction behavior monitoring data, analyze the application usage frequency and duration between the main screen and the secondary screen of the user, and use the formula:

[0113]

[0114] Calculate the dual-screen activity mode index A mode , and generate the user dual-screen activity mode analysis result; where freq app is the application usage frequency, dur app is the usage duration, and N is the total number of applications;

[0115] Suppose a user has used three applications, Application A, Application B, and Application C, within an evaluation period. The usage frequency of the applications (i.e., the number of times each application is opened) and the average duration (in minutes) of each use are as follows:

[0116] Application A: Usage frequency freq A = 10 times, average duration dur A = 5 minutes.

[0117] Application B: Usage frequency freq B = 5 times, average duration dur B = 10 minutes.

[0118] Application C: Usage frequency freq C = 8 times, average duration dur C = 3 minutes.

[0119] Substitute the data into the formula to calculate the dual - screen activity pattern index:

[0120]

[0121] The result shows that the user's dual - screen activity pattern index is 41.33. The index reflects the comprehensive activity intensity of the user in dual - screen usage. A higher index indicates frequent and balanced activities between the two screens, while a lower index may indicate that the user mainly uses one screen. Dynamically adjust the distribution of content and the layout of applications according to this index to match the user's usage habits. For example, if the activity index of a certain application remains high, automatically adjust the application window to a more prioritized screen or adjust its size to adapt to the user's usage pattern, making the content migration and window layout more personalized, thereby enhancing the user experience.

[0122] S313: Based on the analysis results of the user's dual - screen activity pattern, dynamically adjust the content distribution. By evaluating the interaction intensity and preference settings of the user on the dual - screen, automatically migrate and adjust the application content to generate the content dynamic migration result;

[0123] When dynamically adjusting the content distribution based on the analysis results of the user's dual-screen activity pattern, first, according to the user behavior log, identify which applications are frequently used and the user's interaction preferences on the dual-screen device; next, adjust the display priority and screen position of the applications according to the analysis results. For example, if the user frequently edits documents on the main screen and watches videos on the secondary screen, automatically optimize the response speed and display area of the document editor, while ensuring that the video playback window has an appropriate display ratio on the secondary screen; in addition, monitor the user's interaction feedback in real time, such as screen clicks and swipe responses, to adjust the real-time performance and accuracy of the window layout, ensuring the smoothness of the user operation; dynamically adjust the layout and performance settings of the applications according to the real-time data, so as to achieve the optimal content display and interaction effect on the user's dual-screen device, and generate the content dynamic migration result.

[0124] Please refer to Figure 6 , the steps for obtaining the content dynamic allocation scheme are as follows:

[0125] S321: According to the content dynamic migration result, analyze the user's application interaction data on the dual screen, identify the key used applications, determine the new window position and size of the applications, match the user's interaction habits, and generate the application position adjustment data;

[0126] First, collect the user's screen interaction data, including the launch times, continuous usage time of each application, and the user's interaction patterns with each application (such as the position and frequency of clicks, scrolls, and touches). Through the monitoring tool deployed on the user device, the data is transmitted to the server in real time. Using statistical analysis techniques, deeply analyze the data to identify the user's operation habits and preferences. According to these habits and preferences, use a predetermined rule engine to automatically calculate the new window position and size of each application. The rule engine dynamically adjusts the application window based on the user's common operation area to reduce the user's operation distance and improve efficiency. All data processing and window adjustment operations run silently in the background without interfering with the user's normal use, and the generated application position adjustment data can be applied to the actual user interface to optimize the user's operation experience.

[0127] S322: Use the application position adjustment data to implement a continuous tracking mechanism, monitor the user's interaction response to the new window layout, count the number of times the screen is touched and the swipe distance, evaluate the actual utility of the window position adjustment, and generate the screen resource optimization data;

[0128] Adjust the data using the application location, start continuous monitoring, and record the user's interactive responses to the new interface layout in real time. The program monitors the user's behavior in each application, such as the speed of switching between applications, the stay time in the application, and the usage frequency. At the same time, the user's touch responses are collected through sensors installed on the user's device, such as the specific location and pressure intensity of touching the screen, and the adaptability of the user to the interface adjustment is analyzed. All the collected data is sent to the central processing unit through the network, and the data is parsed to identify which layout adjustments have improved the user's work efficiency and satisfaction. The process is iterative, and the window layout is continuously optimized according to the feedback until the best user experience is achieved, generating screen resource optimization data to provide a basis for the next operation decision.

[0129] S323: Based on the screen resource optimization data, comprehensively evaluate the location and resource allocation effect of each application, verify the matching of the configuration with the user's operation habits and preferences, and make dynamic adjustments until the optimal configuration is achieved, generating a content dynamic allocation plan;

[0130] Based on the screen resource optimization data, perform a comprehensive evaluation procedure to determine whether the window position and size of each application are optimized. The procedure includes comparative analysis of the user's current usage data and historical data, especially the efficiency changes of the user under the new layout. By analyzing the data, determine which application location adjustments have the greatest impact on the user's operation efficiency and comfort, and adjust the location and size of the application according to the analysis results. If the adjustment of an application does not achieve the expected effect, automatic fine-tuning is started to slightly adjust the location of the application until the analysis results show that the user's operation efficiency or satisfaction reaches the highest. The process closely monitors the user's feedback to ensure that each adjustment is based on the actual user usage situation, and the continuous optimization process continues until the ideal state is reached, thereby generating a content dynamic allocation plan.

[0131] Please refer to Figure 7 , the steps for obtaining the user interface layout are as follows:

[0132] S411: Based on the content dynamic allocation plan, clarify the functional division of the main screen and the secondary screen. The main screen is responsible for displaying key operation information, and the secondary screen shows auxiliary information, generating a dual-screen role clarification plan;

[0133] Based on the content dynamic allocation scheme, clarify the functional division process between the main screen and the secondary screen. First, deeply analyze the user operation logs to identify tasks with high operation frequencies and urgent tasks. Utilize the task analysis results to set the main screen to mainly display real-time interaction and key operation information. The secondary screen shows auxiliary information, such as system notifications or to-do lists, including observing the user workflow. By collecting users' feedback on the importance of different information, adjust the information priority. Further, through simulation tests, observe the user response time when different information is displayed on different screens, so as to optimize the user interface design, ensure that the real-time update of information on the main screen can be quickly responded to, while the secondary screen processes non-critical information, thus not interfering with the execution of the main task.

[0134] S412: According to the dual-screen role clarification scheme, conduct content optimization and layout design. According to the priority ranking, the main screen centrally displays high-priority tasks, and the secondary screen shows low-priority and background tasks, obtaining the dual-screen content and layout optimization scheme;

[0135] Based on the dual-screen role clarification scheme, the specific dual-screen content configuration is executed through a series of detailed steps. First, by regularly collecting users' operation data and feedback, analyze the user behavior patterns in the dual-screen environment and identify the information types that users view more frequently. Then, classify the information according to the data and decide which information should be displayed on the main screen and which can be displayed on the secondary screen. This process not only involves data collection and analysis but also direct interaction with users, such as obtaining users' satisfaction with the current interface layout and improvement suggestions through questionnaires and real-time feedback mechanisms. Finally, according to the collected data and users' feedback, adjust the content display of the main screen and the secondary screen, optimize the information layout, ensure that the main screen can give priority to displaying key and urgent information, while the secondary screen shows auxiliary and background information, maximizing work efficiency and user satisfaction.

[0136] S413: Execute the dual-screen content and layout optimization scheme, develop and test the dynamic interaction logic of the dual-screen interface, and perform real-time content updates between the two screens according to user operations, obtaining the user interface layout;

[0137] Implement a dual-screen content and layout optimization solution, and design and implement the dynamic interaction logic between interfaces. First, based on the actual usage of users, collect and analyze the interface switching frequency during dual-screen operations and the response speed of users to different information. The data is obtained through time tracking to ensure the accuracy of the data. Then, according to the data results, develop a dynamic content update mechanism that can automatically adjust the display content of the main screen and the secondary screen according to the user's current operation focus and task urgency. By testing this mechanism in various operating environments, collect the feedback of users on the feeling of dynamic switching and operation efficiency, and make detailed adjustments to the interaction logic. Finally, achieve an interaction mode in which the dual-screen content can be seamlessly synchronized and updated when the user switches the work focus, significantly improving the operation convenience of users and the task execution efficiency.

[0138] A dual-screen display intelligent screen connection system, comprising:

[0139] The screen parameter acquisition module acquires the pixel values and actual sizes of the width and height of each screen through the device interface, counts the color depth and contrast ratio of each screen, calculates the visual output characteristic index, combines the refresh rate and delay time of the screen, and conducts a comprehensive performance evaluation of each screen to generate a comprehensive record of screen attributes;

[0140] The screen attribute analysis module extracts the resolution and size data based on the comprehensive record of screen attributes, analyzes the display capabilities of each screen, automatically identifies and marks the main and secondary attributes of the screen, analyzes the content type and user preferences, optimizes the color configuration of high-priority content, dynamically analyzes the content type currently displayed on the screen, and applies a predetermined color mode. Combining the visual requirements of different content and the screen characteristics, generate the screen working mode setting result;

[0141] The user behavior monitoring module captures the operation behavior data of the user in different applications in real time according to the screen working mode setting result, monitors the touch and keystroke interactions of the screen, analyzes the application usage frequency and duration between the main screen and the secondary screen of the user, dynamically adjusts the content distribution and identifies the key used applications, conducts continuous tracking, comprehensively evaluates the position and resource allocation effect of each application, and generates a content dynamic allocation plan;

[0142] The content dynamic allocation module clarifies the functional division of the main screen and the secondary screen based on the content dynamic allocation plan, conducts content optimization and layout design, develops and tests the dynamic interaction logic of the dual-screen interface, and performs real-time content updates between the two screens according to the user's operation to obtain the user interface layout.

[0143] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the relevant art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A dual-screen display intelligent screen connection method, characterized in that: The following steps are involved: S1: Collect screen resolution and size data of dual-screen devices, record the visual output characteristics of each screen, monitor the response time and output quality of the devices, and integrate the comprehensive record of output screen attributes; S2: Analyze the resolution and size data of each screen according to the comprehensive record of the screen attributes, automatically identify and mark the main and secondary screens, configure the content display priority, adjust the color setting of each screen according to the content display priority configuration result, match the corresponding display content type, and obtain the screen working mode setting result; S3: According to the screen working mode setting result, the user's application usage data and screen interaction behavior are monitored in real time, and the content is dynamically migrated by analyzing the user's activity mode on the dual screens. The application window position is automatically adjusted according to the content dynamic migration result, and the position of each application and the screen resource allocation are optimized through continuous tracking, matching the user's habits, and generating a content dynamic allocation plan; S4: Based on the dynamic content allocation scheme, adjust the interface layout of the dual screens, confirm that the main screen displays key work content, and the secondary screen displays auxiliary content, perform seamless switching and interaction between the two screens, and obtain the user interface layout.

2. A dual-screen display intelligent connection method according to claim 1, characterized in that: The steps for outputting the comprehensive record of screen attributes are as follows: S111: collecting pixel values ​​and actual sizes of the width and height of each screen through the device interface, obtaining screen resolution and size data from the hardware layer, and generating screen specification data; S112: Based on the screen specification data, the color depth and contrast ratio of each screen are counted using the formula: Calculate the visual output characteristic index D and obtain the visual output characteristic record, where C depth Indicates color depth, R contrast represents the contrast ratio, P screen Represents screen pixel density; S113: Using the visual output characteristic record, combined with the refresh rate and delay time of the screen, a comprehensive performance evaluation is performed on each screen to generate a comprehensive record of screen attributes.

3. A dual-screen display intelligent connection method according to claim 2, characterized in that: The steps for configuring the content display priority are: S211: extracting resolution and size data based on the comprehensive record of screen attributes, analyzing the display capability of each screen, and generating screen resolution and size analysis results; S212: Based on the screen resolution and size analysis results, automatically identify and mark the primary and secondary attributes of the screen, and generate primary and secondary screen marking results in combination with the screen usage frequency and content importance; S213: According to the marking result of the main and secondary screens, the content display priority is configured using the formula: Calculate the display priority P of the i-th screen i , generate content display priority configuration results, where U i Represents the main screen value based on screen usage frequency, V i Represents the secondary screen value based on the importance of the content, H i Indicates that screen usage history affects the score.

4. A dual-screen display intelligent connection method according to claim 3, characterized in that: The steps for obtaining the screen working mode setting result are: S221: According to the content display priority configuration result, control the details of screen brightness, contrast, color temperature and color saturation, optimize the color configuration of high-priority content by analyzing the content type and user preference, and generate a screen color adjustment solution; S222: using the screen color adjustment solution, dynamically analyzing the type of content currently displayed on the screen, and applying a predetermined color mode to confirm the optimal match between the visual output and the content type, thereby obtaining a matching result between the screen display content and the color setting; S223: Integrate the screen color adjustment scheme and the screen display content with the color setting matching result, adjust the screen resolution and refresh rate to optimize the display effect, and generate a screen working mode setting result based on the visual requirements of the difference content and the screen characteristics.

5. A dual-screen display intelligent connection method according to claim 4, characterized in that: The steps of dynamic migration of the content are: S311: According to the screen working mode setting result, the user's operation behavior data in different applications is captured in real time, and the touch and typing interactions of the screen are monitored at the same time to generate user screen interaction behavior monitoring data; S312: extract key activity patterns from the user screen interaction behavior monitoring data, analyze the frequency and duration of user application usage between the main screen and the auxiliary screen, and use the formula: Calculate the dual-screen activity mode index A mode , generate the analysis results of the user's dual-screen activity mode; where freq app is the frequency of application usage, dur app is the usage duration, N is the total number of applications; S313: Based on the analysis result of the user's dual-screen activity pattern, dynamically adjust the content distribution, automatically migrate and adjust the application content by evaluating the user's interaction intensity and preference settings on the dual screens, and generate a content dynamic migration result.

6. A dual-screen display intelligent connection method according to claim 5, characterized in that: The steps for obtaining the content dynamic allocation solution are: S321: Analyze the user's application interaction data on the dual screens according to the dynamic content migration result, identify key application usage, determine the new application window position and size, match the user's interaction habits, and generate application position adjustment data; S322: using the application position adjustment data, implementing a continuous tracking mechanism, monitoring the user's interactive response to the new window layout, counting the number of times the screen is touched and the sliding distance, evaluating the actual effectiveness of the window position adjustment, and generating screen resource optimization data; S323: Based on the screen resource optimization data, comprehensively evaluate the location and resource allocation effect of each application, verify the matching of the configuration with the user's operating habits and preferences, and make dynamic adjustments until the optimal configuration is achieved, and generate a content dynamic allocation plan.

7. A dual-screen display intelligent connection method according to claim 6, characterized in that: The steps of obtaining the user interface layout are: S411: Based on the dynamic content allocation scheme, the functional division of the main screen and the secondary screen is clarified, the main screen is responsible for displaying key operation information, and the secondary screen displays auxiliary information, and a dual-screen role clarification scheme is generated; S412: According to the dual-screen role clarification plan, content optimization and layout design are performed, and according to the priority sorting, the main screen focuses on displaying high-priority tasks, and the secondary screen displays low-priority and background tasks, so as to obtain a dual-screen content and layout optimization plan; S413: Execute the dual-screen content and layout optimization solution, develop and test the dynamic interaction logic of the dual-screen interface, perform real-time content updates between the two screens according to user operations, and obtain a user interface layout.

8. A dual-screen display intelligent screen connection system, characterized in that: The system is used to execute a dual-screen display intelligent connection method according to any one of claims 1 to 7, comprising: The screen parameter acquisition module collects the pixel values ​​and actual size of the width and height of each screen through the device interface, counts the color depth and contrast ratio of each screen, calculates the visual output characteristic index, and conducts a comprehensive performance evaluation of each screen in combination with the screen's refresh rate and delay time to generate a comprehensive record of screen attributes; The screen attribute analysis module extracts resolution and size data based on the comprehensive record of screen attributes, analyzes the display capability of each screen, automatically identifies and marks the primary and secondary attributes of the screen, analyzes the content type and user preference, optimizes the color configuration of high-priority content, dynamically analyzes the type of content currently displayed on the screen, and applies a predetermined color mode, combining the visual requirements of the differential content and the screen characteristics, to generate a screen working mode setting result; The user behavior monitoring module captures the user's operation behavior data in different applications in real time according to the screen working mode setting result, monitors the touch and typing interaction of the screen, analyzes the user's application usage frequency and duration between the main screen and the auxiliary screen, dynamically adjusts the content distribution and identifies key application usage, performs continuous tracking, comprehensively evaluates the location and resource allocation effect of each application, and generates a dynamic content allocation plan; Based on the dynamic content allocation scheme, the dynamic content allocation module clarifies the functional division of the main screen and the secondary screen, performs content optimization and layout design, develops and tests the dynamic interaction logic of the dual-screen interface, and performs real-time content updates between the two screens according to user operations to obtain the user interface layout.

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