A method and system for controlling a dual-mode display

Abstract

The application discloses a control method and system of a dual-mode display, and relates to the technical field of the dual-mode display. According to the current display mode, the display data space of the dual-mode display is determined, and a corresponding display mode list is output. According to the display mode list, the interaction signal of the dual-mode display and the current display data of the dual-mode display, a self-control event of the dual-mode display is determined, and the self-control of the dual-mode display in various scenes is realized. According to the cross matching of multiple display failure characteristics, the past use events of the dual-mode display and the use life of the dual-mode display, a display failure event is determined. In the dual-mode display, the first control space continuously controls the current display of the dual-mode display, and the second control space triggers the self-optimization of multiple paths according to the display failure event to increase a new display mode, so that the current display of the dual-mode display and the synchronization of the increase of the new display mode are ensured, and the intelligent control of the dual-mode display is realized.

Description

Technical Field

[0001] This invention relates to the technical field of dual-mode displays, and more particularly to a control method and system for dual-mode displays. Background Technology

[0002] With the development of technology, dual-mode displays are integrated display devices that achieve parallel processing of display tasks by dividing different functional dimensions. In existing technologies, interactive events of dual-mode displays are collected, multiple interactive features are determined based on the identification of these interactive events, and the corresponding display mode is determined based on these multiple interactive features and the model of the dual-mode display. Control is carried out along a single dimension without considering compatibility with the list of display modes and the current display data of the dual-mode display. This affects the accuracy of the autonomous control events of the dual-mode display and makes it impossible to achieve intelligent control of the dual-mode display. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art. This invention provides a control method and system for a dual-mode display.

[0004] This invention provides a control method for a dual-mode display, comprising: acquiring multiple operating parameters of the dual-mode display; determining the operating state of the dual-mode display based on the multiple operating parameters and the operating scenario of the dual-mode display; determining multiple sub-screen features based on the recognition of the current screen displayed by the dual-mode display; determining the current display mode of the dual-mode display based on the multiple sub-screen features and the operating state of the dual-mode display; determining the display data space of the dual-mode display based on the current display mode and outputting a corresponding display mode list; determining a dual-mode display autonomous control event based on the display mode list, the interaction signals of the dual-mode display, and the current display data of the dual-mode display; if the dual-mode display autonomous control event contains display failure content, determining multiple display failure features based on the detection of display failure content; determining a display failure event based on the cross-matching of the multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display; in the dual-mode display, a first control space continuously controls the current display of the dual-mode display, and a second control space triggers multi-path autonomous optimization based on the display failure event to add new display modes.

[0005] This invention provides a control system for a dual-mode display, which is applied to the aforementioned control method for a dual-mode display. The control system for the dual-mode display includes:

[0006] The working status module is used to collect multiple working parameters of the dual-mode display and determine the working status of the dual-mode display based on the multiple working parameters of the dual-mode display and the working scene in which the dual-mode display is located.

[0007] The current display mode module is used to determine multiple sub-screen features based on the recognition of the current screen displayed by the dual-mode display, and to determine the current display mode of the dual-mode display based on the multiple sub-screen features and the working state of the dual-mode display.

[0008] The autonomous control event module is used to determine the display data space of the dual-mode display according to the current display mode, and output the corresponding display mode list. It also determines the autonomous control event of the dual-mode display based on the display mode list, the interaction signal of the dual-mode display, and the current display data of the dual-mode display.

[0009] The display failure event module is used to determine multiple display failure features based on the detection of display failure content if the autonomous control event of the dual-mode display contains display failure content, and to determine the display failure event based on the cross-matching of multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display.

[0010] The display mode addition module is used in dual-mode displays. The first control space continuously controls the current display of the dual-mode display, and the second control space triggers multi-path autonomous optimization based on display failure events to add new display modes.

[0011] Compared with the prior art, the beneficial effects of the present invention are:

[0012] In this embodiment of the invention, the display data space of the dual-mode display is determined according to the current display mode, and a corresponding display mode list is output. The autonomous control event of the dual-mode display is determined according to the display mode list, the interaction signal of the dual-mode display, and the current display data of the dual-mode display. The current display mode of the dual-mode display is introduced, which takes into account the overall consideration of the display mode list, the interaction signal of the dual-mode display, and the current display data of the dual-mode display. This improves the accuracy of the autonomous control event of the dual-mode display and realizes the autonomous control of the dual-mode display in various scenarios.

[0013] Therefore, if the autonomous control event of the dual-mode display contains display failure content, multiple display failure features are determined based on the detection of the display failure content. The display failure event is determined by cross-matching the multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display. In the dual-mode display, the first control space continuously controls the current display of the dual-mode display, and the second control space triggers multi-path autonomous optimization based on the display failure event to add new display modes. The display failure event is introduced and further controlled. Multi-core control of the dual-mode display is realized based on the first control space and the second control space, ensuring the synchronous operation of the current display and the addition of new display modes, thus realizing the intelligent control of the dual-mode display. Attached Figure Description

[0014] Figure 1 This is a flowchart illustrating the control method for a dual-mode display in an embodiment of the present invention;

[0015] Figure 2 This is a schematic diagram of the structural composition of the control system for the dual-mode display in an embodiment of the present invention. Detailed Implementation

[0016] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0017] Please see Figure 1 and Figure 2 A control method for a dual-mode display, applied to a dual-mode display; the control method for a dual-mode display includes:

[0018] Step S11: Collect multiple operating parameters of the dual-mode display, and determine the working status of the dual-mode display based on the multiple operating parameters of the dual-mode display and the working scene in which the dual-mode display is located.

[0019] Step S12: Determine multiple sub-screen features based on the recognition of the current screen displayed on the dual-mode display, and determine the current display mode of the dual-mode display based on the multiple sub-screen features and the working state of the dual-mode display.

[0020] Step S13: Determine the display data space of the dual-mode display according to the current display mode, and output the corresponding display mode list. Determine the autonomous control event of the dual-mode display according to the display mode list, the interaction signal of the dual-mode display and the current display data of the dual-mode display.

[0021] Step S14: If the autonomous control event of the dual-mode display contains display failure content, then multiple display failure features are determined based on the detection of display failure content, and the display failure event is determined by cross-matching the multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display.

[0022] Step S15: In the dual-mode display, the first control space continuously controls the current display of the dual-mode display, and the second control space triggers autonomous optimization of multi-path based on the display failure event to add new display modes.

[0023] In step S11, the specific steps are as follows:

[0024] S111: Collect the model number of the dual-mode display, determine the data control space of the dual-mode display based on the matching of the model number and the database of the dual-mode display, determine multiple operating parameters of the dual-mode display based on the detection of the data control space, and determine the combination of each operating parameter based on the cross combination of the multiple operating parameters of the dual-mode display.

[0025] S112: Determine the corresponding working features based on the identification of various working parameter combinations. At the same time, collect multiple scene parameters based on the scene detection of the dual-mode display. Determine the working scene where the dual-mode display is located based on the multiple scene parameters and the scene mapping relationship. Determine the working status of the dual-mode display based on the working scene where the dual-mode display is located and the multiple working features.

[0026] In the embodiments of this application, the system first reads the unique identification information of the display, such as product serial number, model code, etc., through the device interface or communication protocol; then, the system matches and queries this identification information with a preset database; the database contains detailed specification information of various display models, such as screen size, resolution range, refresh rate support, color depth, power consumption parameters, etc.

[0027] After a successful database match, the system will establish a dedicated data management space for that specific monitor model. This space is actually a virtualized parameter management area that defines the effective range, safety threshold, and optimal operating range of various parameters for that monitor model. For example, for a dual-mode monitor with the model number "A", the database shows that it supports resolutions between 1920×1080 and 3840×2160, refresh rates between 60Hz and 144Hz, and power consumption between 15W and 85W. The data management space will use these parameter ranges as boundary conditions to provide a benchmark for subsequent parameter detection and analysis.

[0028] After establishing the data control space, the system begins real-time monitoring of the monitor's actual operating parameters. This process is achieved through sensors, driver interfaces, or internal monitoring circuits. The system collects multiple key operating parameters, including but not limited to: current resolution, actual refresh rate, brightness level, color temperature, power consumption, temperature sensor readings, signal input type, and backlight intensity. The collection of these parameters is not a simple numerical reading but is performed within the framework of the data control space. The system verifies whether each collected parameter is within a preset valid range. For example, for a "Model A" monitor, the system detects a current resolution of 2560×1440, a refresh rate of 120Hz, a brightness of 75%, and a temperature of 42℃. These values ​​are all within the range defined by the data control space and are therefore confirmed as valid operating parameters. If a parameter exceeds the range, such as detecting a temperature of 95℃ (exceeding the safety threshold), the system will trigger the corresponding protection mechanism.

[0029] The system does not view individual operating parameters in isolation, but rather discovers the correlations and mutual influences between parameters through cross-combination analysis, forming parameter combinations with specific meanings. In specific implementation, the system establishes a parameter correlation matrix, defining which parameter combinations have specific physical meanings or functional indications; for example: resolution + refresh rate + temperature = performance load combination; brightness + backlight intensity + power consumption = energy efficiency status combination; color temperature + brightness + signal type = display quality combination; for the "Model A" monitor, the system forms the following specific combinations: high-performance combination: 3840×2160 resolution + 144Hz refresh rate + 65℃ temperature; energy-saving combination: 1920×1080 resolution + 60Hz refresh rate + 25% brightness + 35W power consumption; standard combination: 2560×1440 resolution + 120Hz refresh rate + 75% brightness + 55W power consumption + 45℃ temperature.

[0030] Furthermore, the system transforms the combinations of operating parameters obtained in the previous step into meaningful operating characteristics. Using a pre-defined feature recognition algorithm, the system analyzes and categorizes each parameter combination, mapping it to specific operating characteristics. These operating characteristics reflect the monitor's operational characteristics and performance under specific parameter configurations. The system establishes a mapping relationship between parameter combinations and operating characteristics; for example, a combination of high resolution, high refresh rate, and low temperature is identified as a "high-performance characteristic"; a combination of medium resolution, medium refresh rate, and medium power consumption is identified as a "balanced characteristic"; and a combination of low resolution, low refresh rate, and low power consumption is identified as an "energy-saving characteristic." In addition, the system considers the stability and changing trends of parameter combinations; for example, combinations with small parameter fluctuations are identified as "stable characteristics," while combinations with frequent parameter changes are identified as "dynamic characteristics."

[0031] While analyzing the working characteristics, the system performs scene detection in parallel, collecting multiple scene parameters related to the display's usage environment. These scene parameters include ambient light intensity, ambient temperature, ambient humidity, surrounding electromagnetic interference intensity, user distance from the display, and number of users.

[0032] The system collects data in real time through various built-in sensors, such as a light sensor to detect ambient light intensity, a temperature sensor to detect ambient temperature, a distance sensor to detect user distance, and a microphone to detect ambient noise levels. The acquisition frequency and accuracy of these scene parameters can be adjusted according to actual needs to ensure the accuracy and real-time performance of scene recognition.

[0033] After collecting the scene parameters, the system transforms these parameters into specific work scenarios through scene mapping relationships. The scene mapping relationship is a pre-established rule base or machine learning model that defines the work scenario types corresponding to different combinations of scene parameters.

[0034] For example, strong light, high temperature, and multi-user environment are mapped to "conference room scenario"; weak light, quiet environment, and single user close-range use are mapped to "personal office scenario"; weak light, nighttime, and low noise environment are mapped to "home entertainment scenario"; dynamic light, noisy environment, and frequent user changes are mapped to "public display scenario", etc. The system will comprehensively consider all scenario parameters and determine the most matching work scenario through weighted scoring or probability model.

[0035] Finally, the system will conduct a comprehensive analysis of the identified work scenarios and characteristics to determine the final working state of the display; this process involves matching scenario requirements with equipment capabilities, as well as comparing current characteristics with scenario requirements.

[0036] The system assesses whether the current working characteristics meet the needs of the work scenario. For example, a "conference room scenario" requires "clear display characteristics" and "multi-view characteristics," and whether the current device possesses these characteristics. At the same time, the system also considers the compatibility between working characteristics and the work scenario. For example, in a "home entertainment scenario," "high color saturation characteristics" are more important than "high precision characteristics." Through this comprehensive analysis, the system can determine the current working state of the display, such as "high-efficiency operation state," "energy-saving state," "performance optimization state," and "adaptive adjustment state," providing a basis for subsequent display mode selection and control decisions.

[0037] In step S12, the specific steps are as follows:

[0038] S121: Real-time monitoring of the display portion of the dual-mode display, and acquisition of the current screen displayed by the dual-mode display, determination of multiple sub-screen areas based on the detection of the current screen displayed by the dual-mode display, and determination of multiple sub-screen features based on the recognition of multiple sub-screen areas.

[0039] S122: When the dual-mode display interacts with an external device, the interaction signal between the dual-mode display and the external device is collected, the current interaction path is determined based on the tracing of the interaction signal, and the first mode coefficient is determined based on the current interaction path and multiple sub-screen features.

[0040] S123: Determine the second mode coefficient based on the characteristics of multiple sub-screens and the overall display content of the current screen; determine the current display mode of the dual-mode display based on the first mode coefficient, the second mode coefficient and the display mode mapping relationship.

[0041] In the embodiments of this application, the system uses a display controller or image acquisition card to capture the display content of the display in real time at a set sampling frequency (e.g., 30 frames per second). The acquisition process includes acquiring the raw data of the display signal, converting it into a digital image format, and performing preliminary preprocessing, such as noise removal, brightness and contrast adjustment. The system also establishes a caching mechanism to store the image data of the most recent few seconds for dynamic analysis and historical comparison.

[0042] The system employs image segmentation algorithms, such as edge detection, region growing, or semantic segmentation based on deep learning, to analyze and process the captured image. The segmentation process first identifies boundaries and transition regions in the image. Then, based on the similarity of features such as color, texture, and brightness, adjacent pixels are combined into sub-regions with consistent characteristics. The system also considers geometric shapes and spatial relationships to ensure that the divided sub-image regions have practical significance. At this point, the system analyzes the captured desktop image and identifies the following sub-image regions: Top left corner (800×600 pixels): a document editing software window containing a large amount of text content; Top right corner (1000×800 pixels): an image processing software window displaying a high-resolution photo; Bottom left corner (600×400 pixels): a video player window playing a dynamic video; Bottom right corner (400×300 pixels): a system monitoring window displaying real-time data charts; Central area (remaining portion): desktop background and taskbar. Each sub-image region has clear boundary coordinates and relative positional relationships, providing precise analysis objects for subsequent feature extraction.

[0043] The system employs multiple feature extraction algorithms for each sub-screen area to analyze its content characteristics from different dimensions. Feature extraction includes static feature analysis (such as color distribution, texture complexity, edge density, etc.) and dynamic feature analysis (such as motion vectors, change frequency, update rate, etc.). The system also performs content type recognition to determine whether each area belongs to text, image, video, graphical interface, etc., and assesses its visual importance and user attention.

[0044] At this point, the system performs feature analysis on each sub-screen area, obtaining the following sub-screen features: Document editing window area features: Content type: mainly text; Color features: high-contrast black and white color scheme, text area occupies 85%; Texture features: regular horizontal line texture, high edge density; Dynamic features: low update frequency (about 2Hz), mainly cursor blinking and text input; Visual importance: high (the main working area of ​​the user); Image processing window area features: Content type: static image; Color features: rich color distribution, high color saturation; Texture features: complex natural texture, rich details; Dynamic features: extremely low update frequency (about 0.5Hz), mainly tool operation; Visual importance: medium to high (requires accurate color display).

[0045] Video player window area characteristics: Content type: Dynamic video; Color characteristics: Continuously changing color distribution; Texture characteristics: Time-varying texture, obvious motion blur; Dynamic characteristics: High update frequency (24Hz), continuous image changes; Visual importance: Medium (entertainment content); System monitoring window area characteristics: Content type: Data charts; Color characteristics: Simple color scheme, prominent data lines; Texture characteristics: Regular geometric shapes, clear edges; Dynamic characteristics: Medium update frequency (5Hz), real-time data updates; Visual importance: Low to medium (auxiliary information); Desktop background and taskbar area characteristics: Content type: Graphical interface; Color characteristics: Unified background tone, bright icon colors; Texture characteristics: Simple texture, clear edges; Dynamic characteristics: Low update frequency (1Hz), mainly icon status changes; Visual importance: Low (background elements).

[0046] Furthermore, the system uses the built-in signal monitoring module of the display to capture all signal data interacting with external devices in real time. These interaction signals include, but are not limited to: EDID (Extended Display Identification Data) exchange of video interfaces such as HDMI / DisplayPort, HID (Human Interface Device) communication of USB interfaces, input signals from touch screens or styluses, network control commands, etc. The system records key parameters such as signal type, strength, frequency, and timing, and establishes timestamp records of interaction events to form a complete database of interaction signals.

[0047] The system employs a signal tracing algorithm to perform time-series analysis and correlation mining on the collected interactive signals. First, the system identifies the source and target devices for each signal and establishes a connection diagram between the devices. Then, by analyzing the triggering sequence and response relationship of the signals, the system determines the flow and priority of the interaction. Finally, the system identifies the main interaction paths and auxiliary interaction paths and evaluates the activity level and importance of each path.

[0048] Optionally, based on the aforementioned interaction signals, the system analyzes and identifies the following interaction paths: Main interaction path: Laptop → HDMI interface → Monitor (display content control); Signal characteristics: High-bandwidth video data, continuous and stable transmission; Interaction frequency: 60Hz refresh rate, real-time display updates; Priority: High (main source of display content).

[0049] Auxiliary Interaction Path 1: Wireless mouse → USB receiver → Laptop → HDMI interface → Monitor (indirect control); Signal characteristics: Low bandwidth control signal, intermittent transmission; Interaction frequency: 2-3 click events per second on average; Priority: Medium (user input control); Auxiliary Interaction Path 2: Touch screen → USB interface → Monitor (direct control); Signal characteristics: Medium bandwidth touch signal, intermittent transmission; Interaction frequency: 5-8 touch operations per minute on average; Priority: Medium (direct interface operation); Auxiliary Interaction Path 3: Smart speaker → WiFi network → Monitor (remote control); Signal characteristics: Low bandwidth control commands, sparse transmission; Interaction frequency: 1 voice command per 10 minutes on average; Priority: Low (auxiliary control method); Through this interaction path analysis, the system can clearly identify the current primary and secondary interaction methods, providing an important basis for subsequent pattern coefficient calculation.

[0050] The system determines the first mode coefficient based on the current interaction path and multiple sub-screen features. It combines interaction path analysis with screen content features to calculate the first mode coefficient reflecting the current usage state. The system establishes a multi-dimensional evaluation model that considers the activity, complexity, and real-time nature of the interaction path, as well as the type distribution, dynamic characteristics, and visual importance of sub-screen features. The specific calculation process includes: first, weighting each interaction path and considering parameters such as bandwidth, frequency, and latency; second, evaluating the importance of each sub-screen feature, considering its content type, update frequency, and visual complexity; and finally, using a weighted fusion algorithm, comprehensively calculating the interaction path score and screen feature score to obtain the first mode coefficient.

[0051] Optionally, based on the aforementioned interaction path analysis and the sub-screen features in S121, the interaction path scores are as follows: Main interaction path (laptop HDMI): score 0.8 (high bandwidth, high real-time performance); Auxiliary interaction path 1 (mouse control): score 0.4 (low bandwidth, medium real-time performance); Auxiliary interaction path 2 (touchscreen): score 0.3 (medium bandwidth, low real-time performance); Auxiliary interaction path 3 (voice control): score 0.1 (low bandwidth, low real-time performance); Overall interaction path score = (0.8 × 0.6 + 0.4 × 0.2 + 0.3 × 0.15 + 0.1 × 0.05) = 0.565.

[0052] Sub-screen feature scoring: Document editing area: 0.7 (high visual importance, medium dynamism); Video player area: 0.6 (medium visual importance, high dynamism); System monitoring area: 0.3 (low visual importance, medium dynamism); Interface element area: 0.2 (low visual importance, low dynamism); Overall screen feature score = (0.7 × 0.4 + 0.6 × 0.3 + 0.3 × 0.2 + 0.2 × 0.1) = 0.52; First mode coefficient calculation: Using a weighted fusion algorithm: First mode coefficient = Interaction path score × 0.6 +Image feature score × 0.4; Calculation result: First mode coefficient = 0.565 × 0.6 + 0.52 × 0.4 = 0.339 + 0.208 = 0.547; This first mode coefficient of 0.547 reflects that the current display is in a state of moderate to high interactive activity and content complexity, indicating that the user is performing relatively complex document editing work, while also performing multitasking operations such as video playback, and is mainly controlled through a laptop; This coefficient will serve as an important reference for subsequent display mode selection, helping the system determine the most suitable display mode for the current usage scenario.

[0053] Therefore, the second mode coefficient is determined based on the characteristics of multiple sub-screens and the overall display content of the current screen; the current display mode of the dual-mode display is determined based on the mapping relationship between the first mode coefficient, the second mode coefficient, and the display mode, which takes into account the overall consideration of the first mode coefficient, the second mode coefficient, and the display mode mapping relationship, and ensures the accuracy of the current display mode of the dual-mode display.

[0054] At this point, the system first performs a comprehensive analysis of the features of multiple sub-screens identified in the previous step, including parameters such as the area ratio, spatial distribution, visual importance, and dynamism of each sub-screen. Simultaneously, the system also extracts global features of the overall display content of the current screen, such as overall color distribution, brightness contrast, dynamic change frequency, and information density. Then, through a preset weighted algorithm, these feature parameters are fused and calculated to obtain the second mode coefficient. This coefficient mainly reflects the characteristics of the display content itself and is relatively independent of user interaction behavior.

[0055] Optionally, assuming the dual-mode monitor is currently displaying a complex work interface containing multiple elements, the system will perform the following analysis: Sub-screen feature analysis: Document editing area (40% of the screen): high text density, medium dynamism, high visual importance; Video conferencing window (25% of the screen): medium dynamism, high visual importance, requires skin tone reproduction; Data chart area (20% of the screen): high contrast requirement, low dynamism, medium visual importance; System toolbar (15% of the screen): low dynamism, low visual importance, requires clear icon display.

[0056] Overall image characteristics analysis: Overall color distribution: predominantly cool tones (documents and charts), with local warm tones (video conference portraits); Brightness and contrast: medium contrast overall, with local high contrast (chart data); Dynamic change frequency: medium (mainly from video conferencing and document editing); Information density: high (text, images, and video information coexist); Spatial complexity: high (multi-window, multi-element layout).

[0057] A multi-dimensional weighted algorithm is adopted, with the weights of each dimension preset according to the performance characteristics of the display; the calculation formula for the second mode coefficient is: Second Mode Coefficient = (Information Density × 0.3) + (Dynamism × 0.25) + (Spatial Complexity × 0.2) + (Color Complexity × 0.15) + (Visual Importance × 0.1); Specific calculation: Second Mode Coefficient

[0058] = (0.8×0.3)+(0.6×0.25)+(0.7×0.2)+(0.5×0.15)+(0.7×0.1)=0.24+0.15+0.14+0.075+0.07=0.675; This second mode coefficient of 0.675 reflects that the current displayed content has a high degree of complexity and information density, requiring the monitor to provide a high-quality display effect to meet the needs of multi-tasking.

[0059] The current display mode of the dual-mode display is determined based on the first mode coefficient, the second mode coefficient, and the display mode mapping relationship. The two mode coefficients obtained from the aforementioned analysis are matched with the preset display mode mapping relationship to determine the most suitable display mode for the current usage scenario. At this time, the system first establishes a multi-dimensional display mode mapping table, which defines the optimal display mode corresponding to different combinations of coefficients. Then, the first mode coefficient (reflecting interactive characteristics) and the second mode coefficient (reflecting content characteristics) calculated in real time are used as input parameters. The display mode is determined by looking up the table or interpolation calculation. The display mode includes parameters such as resolution, refresh rate, color mode, brightness and contrast settings, energy saving level, etc.

[0060] Optionally, assume the system has already calculated: First mode coefficient (interaction characteristics): 0.547; Second mode coefficient (content characteristics): 0.675; The display mode mapping table is shown in Table 1.

[0061] Table 1 shows the pattern mapping relationship.

[0062]

[0063] Based on the calculation results: the coefficient for the first mode (0.547) falls within the "medium" range; the coefficient for the second mode (0.675) also falls within the "medium" range. By referring to the table, the most suitable display mode is determined to be "Multi-task Optimization Mode." The specific parameters for this mode include: Resolution: Maintain native resolution (e.g., 3840×2160); Refresh rate: 60Hz (balancing performance and power consumption); Color mode: Standard sRGB color space; Brightness: 250 nits (suitable for office environments); Contrast ratio: 1000:1 (ensuring clear text and images); Local dimming: Enabled (optimizing display effects in different areas); Color temperature... 6500K (standard white point, suitable for extended viewing); Response time: 8ms (suitable for office applications, not requiring extremely fast response); Energy efficiency level: Medium (balancing performance and power consumption); The system will automatically switch the monitor to "Multi-tasking Optimization Mode" and apply the above parameter configuration; This mode can ensure the display effect of multi-tasking while taking into account power consumption control and user experience, and is particularly suitable for complex work scenarios where document editing, video conferencing, and data viewing are carried out simultaneously; If the usage scenario changes in the future, the system will recalculate the two mode coefficients and adjust the display mode accordingly to achieve dynamic adaptive control.

[0064] In step S13, the specific steps are as follows:

[0065] S131: Collect the current display mode of the dual-mode display, determine the display data space of the dual-mode display based on the matching of the current display mode of the dual-mode display and the dual-mode display database, determine the corresponding display mode list based on the detection of the display data space of the dual-mode display, at this time, the display mode list records the display modes stored by the dual-mode display in the past time; determine multiple display modes based on the identification of the display mode list, and mark the mode content of each display mode;

[0066] S132: Collect the interaction signal between the dual-mode display and the external device, determine the corresponding interaction content based on the parsing of the interaction signal, and determine the first mode control coefficient based on the interaction content and the mode content of each display mode;

[0067] S133: When the dual-mode display is in display mode, collect the current display data of the dual-mode display, determine the second mode control coefficient based on the current display data of the dual-mode display and the interactive content, and determine the autonomous control event of the dual-mode display based on the first mode control coefficient, the second mode control coefficient and the autonomous control mapping relationship.

[0068] In the embodiments of this application, the system first obtains the identification information of the current display mode through the display controller interface, including key data such as mode name, parameter configuration set, and activation time. Then, the system uses this information as query conditions to perform a matching query in the database of the dual-mode display. The database stores all historical usage records of the display, including performance parameters, usage scenarios, user feedback, and other information under various display modes. After a successful match, the system locates a specific data area, namely the display data space, which contains all historical data records related to the current mode. For example, if the current display mode is "HD Cinema Mode", the system will find the data space corresponding to this mode in the database, which contains parameter settings such as brightness, contrast, color temperature, and refresh rate used in this mode, as well as information such as usage time and user adjustment records.

[0069] The system performs a deep scan and analysis of the display data space, extracting all historical records related to display modes. These records are organized and categorized according to time sequence, usage frequency, user reviews, and other dimensions, forming a structured list of display modes. This list not only includes basic information about the modes but also usage statistics for each mode, such as the number of uses, average usage time, and user satisfaction rating. For example, for the data space of "High-Definition Cinema Mode," the system will generate the following display mode list: High-Definition Cinema Mode (Standard Configuration) - Number of uses: 45, Average usage time: 2.3 hours, User rating: 4.5 / 5; High-Definition Cinema Mode (Low Blue Light) - Number of uses: 23, Average usage time: 1.8 hours, User rating: 4.2 / 5; High-Definition Cinema Mode (High Contrast) - Number of uses: 18, Average usage time: 2.1 hours, User rating: 4.3 / 5; High-Definition Cinema Mode (Energy Saving Version) - Number of uses: 12, Average usage time: 3.2 hours, User rating: 3.8 / 5.

[0070] The system first identifies and categorizes each mode in the display mode list, extracting the key features and parameter configurations of each mode. Then, the system tags these modes with content, including mode type, applicable scenarios, performance characteristics, and parameter ranges. The tagging process employs a multi-dimensional tagging system to ensure that the characteristics of each mode are accurately described. For example, for the above display mode list, the system would tag it as follows: High-definition cinema mode (standard configuration): Mode type: Entertainment mode; Applicable scenarios: Movie viewing, video playback; Performance characteristics: High color fidelity, standard brightness; Parameter configuration: Brightness 300cd / m2, contrast ratio 1000:1, color temperature 6500K, refresh rate 60Hz; Tags: #standard #highcolor #movie #video.

[0071] High Definition Cinema Mode (Low Blue Light): Mode Type: Eye Protection Mode; Applicable Scenarios: Long-term viewing, nighttime use; Features: Reduces blue light output, protects eyesight; Parameters: Brightness 280cd / m2, Contrast Ratio 900:1, Color Temperature 5500K, Refresh Rate 60Hz, Blue Light Filter Rate 30%; Tags: #EyeProtection #LowBlueLight #Nighttime #LongTermViewing; High Definition Cinema Mode (High Contrast): Mode Type: Enhanced Mode; Applicable Scenarios: Dark-scene movies, HDR content; Features: High contrast, deep black performance; Parameters: Brightness 320cd / m2, Contrast Ratio 1500:1, Color Temperature 6800K, Refresh Rate 60Hz, Local Dimming Enabled; Tags: #HighContrast #HDR #DarkScene #Enhanced.

[0072] High-definition Cinema Mode (Energy Saving Version): Mode Type: Energy Saving Mode; Applicable Scenarios: Long-term use, environmental protection requirements; Performance Characteristics: Low power consumption, long battery life; Parameter Configuration: Brightness 200cd / m² 2 800:1 contrast ratio, 6200K color temperature, 48Hz refresh rate, energy-saving technology enabled; Tags: #energysaving #lowpower #environmentallyfriendly #longbatterylife

[0073] Furthermore, the interaction signals between the dual-mode display and external devices are collected, and the corresponding interaction content is determined based on the analysis of the interaction signals. Based on the interaction content and the mode content of each display mode, the first mode control coefficient is determined, which takes into account the overall consideration of the interaction content and the mode content of each display mode, and ensures the accuracy of the first mode control coefficient.

[0074] At this time, the system uses the built-in signal monitoring module of the monitor to capture all signal data interacting with external devices in real time. These interaction signals include, but are not limited to: EDID data exchange of video interfaces such as HDMI / DisplayPort, HID device communication of USB interface, control signals of wireless connection (such as Bluetooth, Wi-Fi), and input signals of touch screen. The system performs protocol parsing on the collected raw signals to extract meaningful interaction content, such as device type, operation instructions, data transmission volume, and connection status changes. For example, when a laptop is connected to the monitor via HDMI, the system will capture the HPD (hot plug detection) signal of the HDMI interface, the EDID data exchange process, DDC / CI control commands, etc., and parse out specific interaction content such as "laptop connected", "resolution set to 3840×2160", and "refresh rate 60Hz".

[0075] The system first establishes a correlation model between interactive content and display modes. This model is trained based on historical usage data and can evaluate the matching degree between different interactive content and various display modes. Then, the system compares and analyzes the currently parsed interactive content with the content of each display mode, calculating a similarity score. The similarity calculation considers multiple dimensions, including device type matching degree, operation command relevance, and usage scenario consistency. Finally, the system uses a weighted algorithm to comprehensively calculate the similarity scores of each dimension to obtain the first mode control coefficient. This coefficient is a value between 0 and 1, representing the matching degree between the current interaction state and the historical display mode; the closer the value is to 1, the higher the matching degree.

[0076] Specifically, assuming the dual-mode monitor is currently connected to a game console (such as a PlayStation 5), the system collects the interaction signals from the HDMI 2.1 interface, including: HPD signal: device connection detected; EDID data: device identified as PlayStation 5; CEC control signal: "device powered on" command received; HDR metadata: HDR10 format detected; Game mode request signal: "Enable game mode" request received; Refresh rate information: 120Hz output requirement detected; The parsed interaction content includes: Device type: game console; Device model: PlayStation 5; Connection status: connected and activated; Display requirements: 4K resolution, 120Hz refresh rate, HDR10 support; Special requests: enable game mode, low latency mode; Content type: game content.

[0077] The system will perform matching analysis on the above interactive content and the four display modes previously identified in S131:

[0078] a) Matching analysis with "HD Cinema Mode (Standard Version)": Device type matching degree: Game console vs. audio-visual device = 0.3; Refresh rate matching degree: 120Hz requirement vs. 60Hz support = 0.5; HDR support matching degree: HDR10 requirement vs. HDR10 support = 1.0; Scene consistency: Game scene vs. Cinema scene = 0.2; Special function matching degree: Low latency requirement vs. Standard mode = 0.3; Calculation result: Weighted average score = 0.46;

[0079] b) Matching analysis with "HD Cinema Mode (Eye Protection Version)": Device type matching degree: Game console vs. audio-visual device = 0.3; Refresh rate matching degree: 120Hz requirement vs. 60Hz support = 0.5; HDR support matching degree: HDR10 requirement vs. no HDR support = 0.0; Scene consistency: Game scene vs. eye protection scene = 0.1; Special function matching degree: Low latency requirement vs. eye protection mode = 0.2; Calculation result: Weighted average score = 0.22;

[0080] c) Matching analysis with "High Definition Cinema Mode (High Contrast)": Device type matching degree: Game console vs. Audio-visual device = 0.3; Refresh rate matching degree: 120Hz requirement vs. 60Hz support = 0.5; HDR support matching degree: HDR10 requirement vs. HDR10 support = 1.0; Scene consistency: Game scene vs. HDR cinema scene = 0.4; Special function matching degree: Low latency requirement vs. high contrast mode = 0.4; Calculation result: Weighted average score = 0.52;

[0081] d) Matching analysis with "HD Cinema Mode (Energy Saving Version)": Device type matching degree: Game console vs. Audio-visual device = 0.3; Refresh rate matching degree: 120Hz requirement vs. 48Hz support = 0.2; HDR support matching degree: HDR10 requirement vs. no HDR support = 0.0; Scene consistency: Game scene vs. energy saving scene = 0.1; Special function matching degree: Low latency requirement vs. energy saving mode = 0.1; Calculation result: Weighted average score = 0.14.

[0082] Based on the matching scores of each mode, the system uses a weighted algorithm to calculate the control coefficient of the first mode: (0.46×0.2+0.22×0.1+0.52×0.5+0.14×0.2) / (0.2+0.1+0.5+0.2)=0.402. This first mode control coefficient of 0.402 reflects that the overall matching degree between the current interaction state and the historical display mode is at a medium level. Among them, the matching degree of "high-definition cinema mode (high contrast)" is the highest (0.52), indicating that although the current scene is a game scene, it has certain similarities with the high-contrast cinema mode, especially in terms of HDR support. This coefficient will serve as an important reference for subsequent autonomous control decisions, helping the system determine whether it is necessary to switch to a display mode that is more suitable for the current interaction state.

[0083] Therefore, when the dual-mode display is in display mode, the current display data of the dual-mode display is collected. Based on the current display data and the interactive content, the second mode control coefficient is determined. Based on the first mode control coefficient, the second mode control coefficient, and the autonomous control mapping relationship, the autonomous control event of the dual-mode display is determined. This approach takes into account the overall consideration of the first mode control coefficient, the second mode control coefficient, and the autonomous control mapping relationship, ensuring the accuracy of the autonomous control event of the dual-mode display. At the same time, the current display mode of the dual-mode display is introduced, taking into account the display mode list, the interactive signals of the dual-mode display, and the current display data of the dual-mode display, thereby improving the accuracy of the autonomous control event of the dual-mode display and realizing the autonomous control of the dual-mode display in various scenarios.

[0084] At this time, the system collects various display data from the monitor in real time through the display controller and image processing unit, including but not limited to: resolution, refresh rate, color space, brightness, contrast ratio, color temperature, HDR status, display content type (text, image, video, game, etc.), image complexity, dynamic range, color saturation, etc.; simultaneously, the system combines the previously analyzed interactive content (such as device type, user operation, etc.) to establish a correlation model between display data and interactive content, and calculates the second mode control coefficient through this model; for example, when it detects that the monitor is currently running at a resolution of 3840×2160, a refresh rate of 60Hz, sRGB color space, a brightness of 300 nits, and a contrast ratio of 1000:1, and the interactive content is connected to a laptop and the user is editing a document, the system will analyze the degree of matching between this display data and the interactive content, and calculate the corresponding coefficient value; the calculation process will consider whether the display parameters are suitable for the current interactive scenario, such as high resolution being suitable for document editing, but a 60Hz refresh rate being insufficient for dynamic content, etc.

[0085] The autonomous control event for the dual-mode display is determined based on the first-mode control coefficient, the second-mode control coefficient, and the autonomous control mapping relationship. By comprehensively analyzing the two control coefficients and according to the preset mapping relationship, the system ultimately determines whether to trigger the autonomous control event. In specific implementation, the system first establishes an autonomous control mapping relationship table, which defines the control decisions corresponding to different coefficient combinations. The mapping relationship is typically in the form of a multi-dimensional matrix, where the first-mode and second-mode control coefficients serve as input dimensions, and the corresponding autonomous control event serves as the output result. Autonomous control events include, but are not limited to: maintaining the current mode, switching to a specific display mode, adjusting display parameters, starting an optimization algorithm, and recording abnormal states. The system inputs the calculated first-mode and second-mode control coefficients into the mapping relationship and determines the final autonomous control event through table lookup or interpolation. For example, when the first-mode control coefficient is 0.4 and the second-mode control coefficient is 0.7, the system finds the corresponding control event in the mapping relationship as "switch to optimized display mode and start color enhancement algorithm".

[0086] Specifically, assuming the dual-mode monitor is currently connected to a game console, and the user is playing an HDR game; the following display data is collected: resolution: 3840×2160 (4K); refresh rate: 60Hz; color space: Rec.709 (standard RGB); brightness: 400nit; contrast ratio: 1000:1; HDR status: off; display content type: game screen; screen complexity: high (fast-moving scene); dynamic range: standard; color saturation: medium.

[0087] Analysis of interactive content (game console connection, HDR game operation) shows data matching degree:

[0088] a) Resolution matching analysis: 4K resolution is suitable for gaming consoles, matching degree: 0.8; weight: 0.15; weighted score: 0.8 × 0.15 = 0.12;

[0089] b) Refresh rate matching analysis: 60Hz is too low for action games, ideally it should be 120Hz, matching degree: 0.4; weight: 0.2; weighted score: 0.4×0.2=0.08;

[0090] c) Color space matching analysis: Rec.709 is not suitable for HDR games; ideally, it should be DCI-P3 or Rec.2020. Matching degree: 0.2; weight: 0.15; weighted score: 0.2 × 0.15 = 0.03.

[0091] d) Brightness matching analysis: 400 nits is too low for HDR games, ideally it should be 600-1000 nits, matching degree: 0.5; weight: 0.1; weighted score: 0.5×0.1=0.05;

[0092] e) HDR Status Matching Analysis: HDR off is severely mismatched with the needs of HDR games; matching degree: 0.0; weight: 0.2; weighted score: 0.0 × 0.2 = 0.0;

[0093] f) Graphical complexity matching analysis: High-complexity graphics are suitable for game scenarios, matching degree: 0.9; weight: 0.1; weighted score: 0.9 × 0.1 = 0.09;

[0094] g) Dynamic Range Matching Analysis: Standard dynamic range is not suitable for HDR games; matching degree: 0.2; weight: 0.05; weighted score: 0.2 × 0.05 = 0.01;

[0095] h) Color saturation matching analysis: Medium saturation is slightly insufficient for game scenes, matching degree: 0.6; weight: 0.05; weighted score: 0.6×0.05=0.03.

[0096] The second mode control coefficient equals the sum of all weighted scores of 0.41. Querying the autonomous control mapping table: when the first mode control coefficient is <0.5 and the second mode control coefficient is <0.5, the "Display Mode Optimization Event" is triggered; when the first mode control coefficient is <0.5 and the second mode control coefficient is ≥0.5, the "Parameter Fine-tuning Event" is triggered; when the first mode control coefficient is ≥0.5 and the second mode control coefficient is <0.5, the "Interaction Optimization Event" is triggered; when the first mode control coefficient is ≥0.5 and the second mode control coefficient is ≥0.5, the "Maintain Current State" is triggered. Current state analysis: First mode control coefficient: 0.4 (<0.5); Second mode control coefficient: 0.41 (<0.5); This meets the first condition, triggering the "Display Mode Optimization Event".

[0097] Based on display data analysis and interactive content, the system determines the following optimization measures: Enable HDR mode; switch the color space to DCI-P3; increase brightness to 600 nits; attempt to increase the refresh rate to 120Hz (if hardware supports it); enhance color saturation; enable the game mode optimization algorithm; and autonomously control the event = {"Event Type":"Display Mode Optimization","Trigger Condition":"First Mode Control Coefficient = 0.4, Second Mode Control Coefficient = 0.41","Optimization Measures":[{"Parameters":"HDR ​​Status","Current Value":"Off","Target Value":"On"},{"Parameters":"Color Space","Current Value":"Rec.709","Target Value":"DCI-P3"},{"Parameters":"Brightness","Current Value":"400nit","Target Value":"600nit"}},{"Parameters":"Brightness","Current Value":"400nit","Target Value":"600nit"}}}} The code snippet `{"parameters":"refresh rate","current value":"60Hz","target value":"120Hz"},{"parameters":"color saturation","current value":"medium","target value":"high"},{"parameters":"game mode","current value":"off","target value":"on"}],"priority":"high","execution method":"gradient adjustment"}` demonstrates how step S133 calculates the second mode control coefficient by analyzing the current display data and interactive content, then combines it with the first mode control coefficient, and based on the preset mapping relationship, ultimately determines to trigger the "display mode optimization event" and generates specific optimization measures. This mechanism enables dual-mode displays to autonomously optimize and adjust the display mode according to actual usage, providing a better user experience.

[0098] In step S14, the specific steps are as follows:

[0099] S141: Collect autonomous control events of the dual-mode display, determine the set of autonomous control content based on the detection of autonomous control events of the dual-mode display, determine multiple sub-autonomous control items based on the identification of the set of autonomous control content, and mark the corresponding autonomous control content.

[0100] S142: Traverse each autonomous control content. If an autonomous control content contains display failure content, trigger the corresponding display emergency measures based on the display failure content. In the display emergency measures, determine multiple display failure features based on the identification of the display failure content.

[0101] S143: Cross-match multiple display failure features, past usage events of the dual-mode display, and the service life of the dual-mode display to output multiple sub-display identification events, and construct display failure events of the dual-mode display during group operation based on the multiple sub-display identification events.

[0102] In the embodiments of this application, the system first collects all events generated by the dual-mode display during autonomous control in real time through the display controller and event listening module. These events include display mode switching attempts, parameter adjustment operations, external device interaction responses, etc. The collection process adopts a high-frequency sampling mechanism to ensure that no key event information is missed. The system filters and analyzes the collected events, extracts events containing display failure information, and forms an autonomous control content set. This process adopts a multi-level filtering mechanism, first excluding successfully executed events, and then classifying and summarizing failed events.

[0103] The system performs in-depth analysis of the set of autonomous control content, classifies similar failure events, and forms multiple sub-autonomous control items. Each sub-item represents a specific type of display failure, with clear characteristics and attributes. The system adds detailed labeling information to each sub-autonomous control item, including failure type, cause, scope of impact, urgency, etc. This labeling information provides a basis for decision-making in triggering subsequent emergency measures.

[0104] Specifically, suppose a dual-mode monitor of model "A" encounters the following situation during operation: The system collects the following autonomous control events: 09:15:30 - Attempt to switch from standard mode to game mode (target parameters: 4K resolution, 120Hz refresh rate, low latency); 09:15:32 - Switching failed, the system records the reason for failure: "Display controller does not support 120Hz refresh rate"; 09:16:45 - Attempt to enable HDR mode; 09:16:47 - Enablement failed, the system records the reason for failure: "Current content does not support HDR display"; 09:17:20 - Attempt to adjust the color space from sRGB to DCI-P3; 09:17:22 - Adjustment failed, the system records the reason for failure: "Display panel color space limitation";

[0105] Based on these events, the system determines the set of autonomous control content, including three display failure events. The system identifies the following sub-autonomous control items: Refresh rate setting failure item: including the first failure event; HDR function activation failure item: including the second failure event; Color space switching failure item: including the third failure event. The system adds detailed tags to each sub-item: Refresh rate setting failure item tag: Failure type: Hardware capability limitation; Specific reason: Model A display controller supports a maximum refresh rate of 60Hz; Impact assessment: Limited gaming experience, insufficient smoothness of dynamic images; Solution suggestion: Reduce the refresh rate to 60Hz or select a display mode that supports a high refresh rate; Priority: Medium.

[0106] HDR Function Enabling Failure Item Marker: Failure Type: Content Compatibility Issue; Specific Reason: The currently playing video content is in SDR format and does not support HDR display; Impact Assessment: Does not affect basic display functions, but HDR enhancement effects cannot be obtained; Solution Recommendation: Switch to HDR content or enable SDR optimization mode; Priority: Low; Meanwhile, Color Space Switching Failure Item Marker: Failure Type: Display Panel Limitation; Specific Reason: Model A display panel's native color space is sRGB and does not support DCI-P3; Impact Assessment: Limited professional color work, inaccurate color reproduction; Solution Recommendation: Use software color management solutions to simulate a wide color gamut; Priority: High (for professional users).

[0107] Furthermore, the system will traverse each autonomous control content in chronological order to analyze whether it contains display failure information. The traversal process adopts an iterative mechanism, checking each content one by one and recording the relevant status. When the system identifies that a certain autonomous control content contains display failure information, it will trigger corresponding display emergency measures according to preset rules. These measures aim to restore the display function as soon as possible and avoid users being unable to use the monitor for a long time.

[0108] While triggering emergency display measures, the system will further analyze the display failure content and extract multiple display failure features. These features describe the specific circumstances of the display failure, such as: Failure Time: the specific time when the display failure occurred; Failure Type: the specific type of display failure, such as resolution switching failure, refresh rate setting failure, etc.; Failure Cause: the reason for the display failure, such as hardware limitations, driver problems, signal source limitations, etc.; Failure Impact: the degree of impact of the display failure on the user experience, such as whether it makes the monitor completely unusable, or only affects the display effect.

[0109] Specifically, suppose a dual-mode monitor of model "A" encounters the following situation during operation: The system traverses the set of autonomously controlled content and finds that it contains the following: 09:15:30 - Attempt to switch from standard mode to game mode (target parameters: 4K resolution, 120Hz refresh rate, low latency); 09:15:32 - Switching failed, and the system recorded the reason for failure: "Display controller does not support 120Hz refresh rate"; 09:16:45 - Attempt to enable HDR mode; 09:16:47 - Enabling failed, and the system recorded the reason for failure: "Current content does not support HDR display"; 09:17:20 - Attempt to adjust the color space from sRGB to DCI-P3; 09:17:22 - Adjustment failed, and the system recorded the reason for failure: "Display panel color space limitation";

[0110] The system identified three display failures and triggered corresponding emergency display measures: Refresh rate setting failure: The system automatically reduced the target refresh rate to 60Hz and switched to "Standard Mode"; HDR function activation failure: The system sent a prompt message to the user, informing them that the current content does not support HDR display and suggesting switching to SDR mode or selecting HDR-supporting content; Color space switching failure: The system sent a prompt message to the user, informing them that the monitor does not support the DCI-P3 color space and suggesting using the sRGB color space or selecting another compatible color space.

[0111] The system extracted the following characteristics for each display failure: Refresh rate setting failure: Failure time: 2025-09-01 09:15:32; Failure type: Hardware capability limitation; Specific reason: Model A display controller supports a maximum refresh rate of 60Hz; Impact assessment: Limited gaming experience, insufficient smoothness of dynamic images; HDR function activation failure: Failure time: 2025-09-01 09:16:47; Failure type: Content compatibility issue; Specific reason: The currently playing video content is in SDR format and does not support HDR display; Impact assessment: Does not affect basic display functions, but cannot obtain HDR enhancement effects; Color space switching failure: Failure time: 2025-09-01 09:17:22; Failure type: Display panel limitation; Specific reason: Model A display panel's native color space is sRGB and does not support DCI-P3; Impact assessment: Limited professional color work, inaccurate color reproduction.

[0112] Therefore, multiple display failure characteristics, past usage events of the dual-mode display, and the service life of the dual-mode display are cross-matched to output multiple sub-display identification events. Based on the multiple sub-display identification events, display failure events of the dual-mode display during group operation are constructed.

[0113] At this point, the system will cross-match each display failure feature with the monitor's past usage events and years of use. The matching process uses a multi-dimensional analysis mechanism, considering factors such as time, frequency, and correlation to identify potential failure modes and trends. Based on the cross-matching results, the system will output multiple sub-display identification events. Each event records the display failures that occurred within a specific time period, as well as the related usage environment and device status. Simultaneously, the system will construct display failure events for the dual-mode monitor during group operation based on the multiple sub-display identification events. These events record the display failures of the monitor over a period of time, which can help the system diagnose and prevent faults.

[0114] Specifically, suppose a dual-mode monitor of model "A" encounters the following issues during operation: Display failure characteristics: Refresh rate setting failure: 2025-09-01 09:15:32; HDR function activation failure: 2025-09-01 09:16:47; Color space switching failure: 2025-09-01 09:17:22; Past usage events: 2025-08-01: Purchased the monitor, moderate usage frequency; 2025-08-15: Updated the display driver; 2025-08-20: Connected to a game console, increased usage frequency; 2025-08-30: Connected to a professional graphics workstation, increased usage frequency; Usage period: 1 year.

[0115] The system cross-matches display failure characteristics with past usage events and years of use, and finds the following potential correlations: refresh rate setting failures are related to increased usage frequency after connecting to a game console; HDR function enabling failures are related to updating display drivers; and color space switching failures are related to increased usage frequency after connecting to a professional graphics workstation.

[0116] The system output the following sub-display recognition events: Sub-event 1: 2025-09-01, refresh rate setting failed after connecting to the game console, which is related to hardware limitations or driver compatibility issues; Sub-event 2: 2025-09-01, HDR function failed to enable after updating the display driver, which is related to driver issues or system settings; Sub-event 3: 2025-09-01, color space switching failed after connecting to a professional graphics workstation, which is related to hardware limitations or driver issues.

[0117] Based on the sub-display recognition events, the system constructed the following display failure events: Event 1: On September 1, 2025, the refresh rate setting of the "Model A" monitor failed after being connected to a game console, which is related to hardware capability limitations or driver compatibility issues; Event 2: On September 1, 2025, the HDR function of the "Model A" monitor failed to be enabled after updating the display driver, which is related to driver issues or system settings; Event 3: On September 1, 2025, the color space switching of the "Model A" monitor failed after being connected to a professional graphics workstation, which is related to hardware capability limitations or driver issues.

[0118] In step S15, the specific steps are as follows:

[0119] S151: Real-time monitoring of the dual-mode display, determining the first control space and the second control space based on the spatial detection of the dual-mode display, and controlling the working content of the dual-mode display at the same time in different dimensions respectively;

[0120] S152: Collect the workload of the first control space and the workload of the second control space, determine the working priority of the first control space and the second control space based on the workload of the first control space, the workload of the second control space and the working status of the dual-mode display, and dynamically adjust the first control space and the second control space along the working priority.

[0121] S153: In the first control space, the display control measures of the dual-mode display are collected according to the monitoring of the first control space, and the current display of the dual-mode display is continuously controlled in the display control measures to maintain the display balance of the dual-mode display.

[0122] S154: In the second control space, the second control space presents the corresponding display recognition event, and determines multiple display optimization paths based on the detection of the display recognition event. It triggers autonomous optimization of multiple paths along the multiple display optimization paths, and determines multiple sub-display optimization features during the autonomous optimization process. It constructs a new display mode based on the multiple sub-display optimization features, the working status of the dual-mode display, and the display mode list, and dynamically updates the display mode list.

[0123] In the embodiments of this application, the system performs comprehensive and real-time monitoring of the dual-mode display through a built-in monitoring module. This process involves data collection and analysis at multiple levels, including hardware resource status, software running status, environmental parameters, etc. The monitoring module adopts a high-frequency sampling mechanism, typically performing 10-100 data collections per second to ensure accurate capture of the real-time status of the display.

[0124] Specific monitoring content includes: hardware resource monitoring: CPU utilization, memory usage, GPU load, storage space usage, temperature sensor readings, power status, etc.; software operation monitoring: display driver status, operating system display service status, application display requests, error logs, etc.; display parameter monitoring: current resolution, refresh rate, color space, brightness, contrast, color temperature, and other display parameters; environmental parameter monitoring: ambient light intensity, ambient temperature, humidity, and other external environmental factors; user interaction monitoring: user operation records, input device status, changes in connected devices, etc. The monitoring data is transmitted to the central processing unit in real time for preliminary analysis and storage, providing a data foundation for subsequent space detection.

[0125] The system executes a space detection algorithm based on monitoring data to identify the available processing resources and functional modules inside the monitor. Based on the characteristics and capabilities of these resources, the system divides the monitor's workspace into two independent control spaces: the first control space and the second control space.

[0126] The spatial detection process includes the following key steps: Resource identification: Identifying all processing units inside the display, such as the main processor, coprocessor, dedicated image processing unit, memory module, etc.; Capability assessment: Evaluating the processing power, response speed, power consumption characteristics, etc. of each processing unit; Task classification: Classifying all tasks that the display needs to perform according to characteristics such as real-time requirements, computational complexity, and resource consumption; Space partitioning: Allocating processing resources and tasks to two control spaces based on resource capabilities and task characteristics; The first control space is usually allocated stronger processing resources and priority access permissions, responsible for handling core display tasks with high real-time and stability requirements; The second control space receives the remaining resources and is responsible for handling analytical and optimization-oriented intelligent tasks.

[0127] The two control spaces work in parallel across different dimensions, jointly managing the display's content at any given moment, but each has its own focus and expertise. The first control space operates on the "real-time" dimension, focusing on ensuring the stability and efficiency of the display's basic display functions. This space is characterized by: high priority (enjoying priority in resource allocation); low latency (fast processing speed and short response time); high stability (simple and reliable operating mechanism, not prone to errors); and basic functions (responsible for core tasks such as signal reception, image processing, and screen driving).

[0128] The second control space operates on the "intelligence" dimension, focusing on the intelligence and optimization of the display. The characteristics of this space include: medium priority: it operates when resources are sufficient and is restricted when resources are scarce; analysis-oriented: it excels in data processing, pattern recognition, and decision making; adaptive: it can adjust its behavior according to usage; advanced functions: it is responsible for intelligent tasks such as display mode optimization, fault diagnosis, and user habit learning.

[0129] The two control spaces communicate and collaborate through shared memory and message passing mechanisms to ensure that the display operates as a whole in a coordinated manner. For example, when the first control space detects a display anomaly, it notifies the second control space to analyze and optimize it. When the second control space generates a new optimization scheme, it notifies the first control space to execute it.

[0130] Furthermore, the workload of the first control space and the workload of the second control space are collected. Based on the workload of the first control space, the workload of the second control space, and the working status of the dual-mode display, the working priority of the first control space and the second control space is determined. The first control space and the second control space are dynamically adjusted along the working priority. This takes into account the overall consideration of the workload of the first control space, the workload of the second control space, and the working status of the dual-mode display, and ensures the accuracy of the working priority of the first control space and the second control space.

[0131] At this time, the system collects the workload of the two control spaces in real time through the performance monitoring module. This process adopts a multi-dimensional and high-frequency monitoring mechanism to ensure that it can accurately reflect the actual working status of each control space. Processor load: CPU utilization, number of threads, processing queue length, etc. of each control space; Memory load: memory usage, memory access frequency, memory fragmentation rate, etc.; Graphics processing load: GPU utilization, rendering pipeline utilization, graphics memory usage, etc.; I / O load: data read and write rate, I / O operation queue length, storage access latency, etc.; Power consumption load: energy consumption level, heat generation, power status, etc. of each control space; Task load: number of tasks to be processed, task completion rate, average task processing time, etc.

[0132] The data collection frequency is dynamically adjusted according to the load type and system requirements, typically between 10 and 100 times per second; for example, CPU load is collected 50 times per second, while memory fragmentation rate is collected once every 5 seconds. The collected data is preprocessed and filtered to remove outliers and noise, forming a smooth load curve. The system also establishes a load history database to store recent (usually 1-24 hours) load data for analyzing load change trends and predicting future load conditions. This historical data provides an important reference for priority calculation and resource regulation.

[0133] Based on the collected workload and the current working status of the dual-mode display (such as the working status determined in step S11), the system uses a multi-factor weighted algorithm to calculate the working priority of the two control spaces. This process comprehensively considers the influencing factors of multiple dimensions to ensure the rationality and effectiveness of priority allocation.

[0134] The priority calculation model includes the following key factors: Load balancing: Assess the load difference between two control spaces; the greater the difference, the lower priority of the control space with the lower load is appropriately reduced. Task urgency: Assess the urgency and importance of the current tasks in each control space; control spaces with urgent tasks receive higher priority. User experience impact: Assess the impact of each control space's operating status on user experience; the greater the impact, the higher the priority. System stability: Assess the contribution of each control space to the overall system stability; control spaces with core stability tasks receive a basic high priority. Historical performance: Refer to the historical performance and efficiency of each control space; control spaces with excellent performance receive a moderate priority increase.

[0135] Priority calculation uses a dynamic weighted algorithm, and the weight of each factor is dynamically adjusted according to the current working state of the display. For example, in "high-performance working state", the urgency of the task has a higher weight; while in "energy-saving state", the power consumption load has a higher weight. The calculation result is usually expressed as a value between 0 and 1, and the higher the value, the higher the priority. The system also sets a priority threshold. When the priority exceeds a certain threshold, the corresponding resource regulation mechanism is triggered.

[0136] The system dynamically adjusts the two control spaces based on calculated work priorities through the resource scheduling module. This process employs a gradual adjustment strategy to avoid drastic fluctuations in resource allocation and ensure the stability and smoothness of system operation. Dynamic adjustment mainly includes the following aspects: Processor resource adjustment: adjusting the number of CPU cores available in each control space, CPU time slice allocation, thread priorities, etc.; Memory resource adjustment: adjusting memory quotas, memory access priorities, cache allocation ratios, etc., for each control space; Graphics processing resource adjustment: adjusting GPU computing unit allocation, graphics memory quotas, rendering pipeline priorities, etc.; I / O resource adjustment: adjusting I / O bandwidth allocation, storage access priorities, network bandwidth quotas, etc.; Power management adjustment: adjusting power limits, performance status, and heat dissipation strategies for each control space.

[0137] The control process follows these principles: Priority-oriented: High-priority control spaces receive more high-quality resources; Minimal interference: Resource adjustments minimize interference with running tasks; Gradual adjustment: Resource allocation changes employ a small-step, high-frequency adjustment strategy; Feedback correction: Continuously monitor the control effect and fine-tune based on actual results; The system also establishes a resource control log to record all resource adjustment operations and their effects, which are used for subsequent optimization of control algorithms and strategies; This historical data also provides a foundation for the system's self-learning capability, enabling the control strategy to be continuously optimized based on actual usage.

[0138] Furthermore, in the first control space, display control measures for the dual-mode display are collected based on the monitoring of the first control space, and these measures are introduced. Based on the collected display control measures, the system continuously controls the current display of the dual-mode display through the control execution module. This process adopts a closed-loop feedback control mechanism to ensure that the display parameters are always kept within the ideal range, providing users with a stable and high-quality visual experience. At the same time, display failure events are introduced and further controlled. Multi-core control of the dual-mode display is realized based on the first and second control spaces, ensuring the synchronous operation of the current display and the addition of new display modes, thus realizing intelligent control of the dual-mode display.

[0139] Continuous control mainly includes the following aspects: Signal stability control: Monitoring the stability of the input signal, and automatically activating signal stabilization algorithms such as signal enhancement, error correction, and buffer adjustment when signal jitter, interruption, or abnormality is detected; Adaptive display parameter control: Dynamically adjusting display parameters according to the characteristics of the input signal and display requirements, such as automatically adjusting resolution matching, refresh rate synchronization, and color space mapping; Image quality enhancement control: Enabling appropriate image quality enhancement algorithms, such as dynamic contrast adjustment, intelligent sharpening, noise suppression, and color enhancement, to improve display quality; Panel optimization control: Optimizing panel drive parameters such as backlight modulation, pixel overdrive, and temperature compensation according to panel characteristics and usage to ensure optimal panel performance; Responsiveness optimization control: Optimizing the response time of the display processing chain, reducing input latency, and improving the interactive experience, especially suitable for games and interactive applications.

[0140] The control process follows these principles: Real-time response: The response time to display anomalies is typically in the millisecond range, ensuring that users hardly notice the display interruption; Smooth transition: Parameter adjustments are made gradually to avoid visual discomfort caused by sudden changes in the screen; Multi-objective balance: Seeking the optimal balance between multiple objectives such as image quality, responsiveness, and power consumption; Adaptive learning: Continuously optimizing control strategies and parameters based on user feedback and usage habits; The system also establishes a control effect evaluation mechanism to monitor the actual effects of various control measures in real time and dynamically adjust the control strategy based on the evaluation results, forming a closed loop of continuous optimization.

[0141] The system maintains the display balance of the dual-mode monitor through a display balance management module. Display balance refers to the monitor's ability to maintain a stable, high-quality, and comfortable display effect under various usage scenarios and conditions, while also considering system resource consumption and power consumption control. Display balance management includes the following key steps: Balance definition: Defining an ideal set of display balance parameters for different usage scenarios, including display parameter ranges, performance index thresholds, resource consumption limits, etc.; Real-time monitoring of the deviation between the monitor's current state and the ideal balance state, calculating the state deviation degree; When a state deviation is detected, initiating a balance adjustment mechanism, adjusting multiple parameters collaboratively to bring the monitor back to a balanced state; On the basis of maintaining basic balance, fine-tuning and optimization are performed according to user preferences and usage habits to provide a personalized display experience.

[0142] The system employs a multi-dimensional balancing strategy, comprehensively considering the following factors: visual quality balance: seeking a balance between visual quality parameters such as sharpness, color accuracy, contrast, and brightness; performance resource balance: seeking a balance between display quality, processing latency, and resource consumption; user experience balance: seeking a balance between display effect, visual comfort, and interactive responsiveness; power consumption and energy efficiency balance: seeking a balance between display performance, power consumption control, and heat management. The system also establishes a historical record of the balance state, tracking the balance state parameters and user feedback under different scenarios to optimize the balancing strategy and predict user needs.

[0143] At this time, the second control space, as the intelligent processing center of the dual-mode display, is responsible for receiving and presenting various display recognition events. These events mainly originate from the display failure events constructed in step S14, as well as the display status abnormal events transmitted by the first control space. The system classifies, prioritizes, and visualizes these events through the event management module.

[0144] An event receiving queue is established to receive various display and identification events in chronological order; events are classified according to dimensions such as event type, scope of impact, and urgency; a multi-factor evaluation model is used to calculate the priority score for each event; event information is displayed through a visual interface, including event description, impact analysis, and recommended measures; simultaneously, the event presentation adopts a multi-level display mechanism: Level 1: Event Overview, displaying the total number of events, the number of high-priority events, and event trends; Level 2: Event List, showing detailed basic information and status of each event; Level 3: Event Details, providing a complete analysis report and handling suggestions for the event; the system also establishes an event history database to store all processed event records for subsequent analysis and pattern recognition.

[0145] For each display recognition event, the system analyzes the event characteristics and solutions through the path planning module, identifying multiple display optimization paths. Each optimization path represents a method to solve a display problem or improve display performance, with different resource consumption, implementation difficulty, and expected results. The system conducts in-depth analysis of the root causes, scope of impact, and constraints of the display recognition event. Based on the event analysis results, multiple optimization schemes are generated. Each scheme is evaluated from multiple dimensions, including technical feasibility, resource requirements, and expected results. Based on the evaluation results, the most promising optimization path is selected.

[0146] Optimization paths typically include the following types: Parameter adjustment path: solving problems by adjusting display parameters, such as adjusting brightness, contrast, refresh rate, etc.; Algorithm optimization path: improving display effects by optimizing or enabling specific algorithms, such as enabling noise reduction algorithms, sharpening algorithms, etc.; Mode switching path: solving problems by switching to a more suitable display mode, such as switching from standard mode to game mode; Hardware adaptation path: solving problems by adjusting hardware configuration or driver settings, such as adjusting GPU settings, updating drivers, etc. The system establishes a detailed execution plan for each optimization path, including specific steps, resource requirements, expected results, and risk assessment.

[0147] The autonomous optimization process adopts a distributed execution architecture, with each optimization path running in an independent execution environment to avoid mutual interference; it allocates necessary computing resources, memory space, and execution time to each optimization path; multiple optimization paths run simultaneously, each executing its predetermined optimization scheme; it monitors the execution status, resource consumption, and intermediate results of each optimization path; and it evaluates the actual effect of each optimization path in real time, including improvements in display quality and changes in resource consumption.

[0148] During the autonomous optimization process, the system monitors and extracts multiple sub-display optimization features in real time through the feature extraction module. These features reflect the actual effects and impacts of the optimization measures, providing data support for subsequent display mode construction. Feature extraction includes the following dimensions: Effect features: the actual degree of improvement in display quality by the optimization measures, such as improved clarity and color reproduction; Performance features: the impact of the optimization measures on system performance, such as changes in processing latency and increases or decreases in resource consumption; User experience features: the impact of the optimization measures on user experience, such as improved visual comfort and enhanced interactive response; Stability features: the stability and reliability of the optimization measures, such as the degree of parameter fluctuation and the frequency of anomalies.

[0149] Feature extraction employs a combination of real-time monitoring and statistical analysis: various indicator data are collected in real time through sensors and monitoring tools; statistical analysis is performed on the collected data to calculate statistical characteristics such as mean, variance, and trend; the data before and after optimization are compared to calculate the degree of improvement and correlation coefficient; the system establishes a quantitative evaluation model for each sub-display optimization feature, transforming subjective feelings into objective indicators, which facilitates subsequent pattern construction and decision-making.

[0150] The system constructs new display modes through a mode construction module, based on extracted sub-display optimization features, the current operating state of the monitor, and a list of historical display modes. This process employs a multi-parameter optimization algorithm to find the optimal combination of display parameters under multiple constraints. The mode construction process includes the following key steps: determining the parameters included in the new display mode and their value ranges; setting the optimization objective function based on the sub-display optimization features; establishing parameter constraints based on the monitor's operating state; solving for the optimal solution of the objective function under the constraints; and verifying and testing the constructed new mode to evaluate its actual effect. Simultaneously, the construction of the new display mode considers the following factors: prioritizing parameter combinations that bring the greatest improvement in display effect; minimizing resource consumption while ensuring performance; ensuring compatibility between the new mode and the monitor's hardware capabilities and drivers; and considering user habits and preferences to provide a comfortable visual experience.

[0151] The system uses a mode management module to add newly constructed display modes to the display mode list and dynamically update the list structure. This process ensures that the display mode list always contains the latest and best display modes, providing users with a wide range of choices. The newly constructed display modes are integrated with existing modes to avoid duplication and conflicts. The integrated mode list is then updated to the system to ensure that all modules can access the latest list.

[0152] Please see Figure 2 , Figure 2 This is a schematic diagram of the structural composition of the control system for the dual-mode display in an embodiment of the present invention; the control system for the dual-mode display includes:

[0153] The working status module 21 is used to collect multiple working parameters of the dual-mode display and determine the working status of the dual-mode display based on the multiple working parameters of the dual-mode display and the working scene in which the dual-mode display is located.

[0154] The current display mode module 22 is used to determine multiple sub-screen features based on the recognition of the current screen displayed by the dual-mode display, and to determine the current display mode of the dual-mode display based on the multiple sub-screen features and the working state of the dual-mode display.

[0155] The autonomous control event module 23 is used to determine the display data space of the dual-mode display according to the current display mode, and output the corresponding display mode list. It also determines the autonomous control event of the dual-mode display according to the display mode list, the interaction signal of the dual-mode display and the current display data of the dual-mode display.

[0156] The display failure event module 24 is used to determine multiple display failure features based on the detection of display failure content if the autonomous control event of the dual-mode display contains display failure content, and to determine the display failure event based on the cross-matching of multiple display failure features, previous usage events of the dual-mode display, and the service life of the dual-mode display.

[0157] The display mode addition module 25 is used in a dual-mode display where the first control space continuously controls the current display of the dual-mode display, and the second control space triggers autonomous optimization of multi-path based on display failure events to add new display modes.

[0158] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A control method for a dual-mode display, characterized in that, include: Collect multiple operating parameters of the dual-mode display, and determine the working status of the dual-mode display based on the multiple operating parameters of the dual-mode display and the working scene in which the dual-mode display is located. Multiple sub-screen features are determined based on the recognition of the current screen displayed by the dual-mode display, and the current display mode of the dual-mode display is determined based on the multiple sub-screen features and the working state of the dual-mode display. The display data space of the dual-mode display is determined based on the current display mode, and the corresponding display mode list is output. The autonomous control event of the dual-mode display is determined based on the display mode list, the interaction signal of the dual-mode display, and the current display data of the dual-mode display. If the autonomous control event of the dual-mode display contains display failure content, multiple display failure features are determined based on the detection of the display failure content, and the display failure event is determined by cross-matching the multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display. In a dual-mode display, the first control space continuously controls the current display of the dual-mode display, while the second control space triggers multi-path autonomous optimization based on display failure events to add new display modes. This includes: real-time monitoring of the dual-mode display; determining the first and second control spaces based on the space detection of the dual-mode display; the first and second control spaces respectively managing the work content of the dual-mode display at the same time in different dimensions; collecting the workload of the first and second control spaces; determining the work priority of the first and second control spaces based on the workload of the first and second control spaces and the working status of the dual-mode display; and following the work priority... The system dynamically adjusts the first and second control spaces. In the first control space, it collects display control measures for the dual-mode display based on monitoring, and continuously controls the current display of the dual-mode display to maintain its display balance. In the second control space, it presents corresponding display recognition events and determines multiple display optimization paths based on the detection of these events. It then triggers multi-path autonomous optimization along these paths and determines multiple sub-display optimization features during the autonomous optimization process. Based on these sub-display optimization features, the working status of the dual-mode display, and the display mode list, it constructs a new display mode and dynamically updates the display mode list.

2. The control method for a dual-mode display according to claim 1, characterized in that, The process of collecting multiple operating parameters of the dual-mode display and determining the operating status of the dual-mode display based on these parameters and the operating environment in which it is located includes: Collect the model number of the dual-mode display, determine the data control space of the dual-mode display based on the matching of the model number and the database of dual-mode displays, determine multiple operating parameters of the dual-mode display based on the detection of the data control space, and determine the combination of each operating parameter based on the cross combination of the multiple operating parameters of the dual-mode display. The corresponding working characteristics are determined by identifying the combination of various working parameters. At the same time, multiple scene parameters are collected based on the scene detection of the dual-mode display. The working scene where the dual-mode display is located is determined based on the multiple scene parameters and the scene mapping relationship. The working status of the dual-mode display is determined based on the working scene where the dual-mode display is located and multiple working characteristics.

3. The control method for a dual-mode display according to claim 1, characterized in that, The process of determining multiple sub-screen features based on the recognition of the current screen displayed on the dual-mode display, and determining the current display mode of the dual-mode display based on the multiple sub-screen features and the working state of the dual-mode display, includes: The display portion of the dual-mode display is monitored in real time, and the current screen displayed on the dual-mode display is captured. Multiple sub-screen regions are determined based on the detection of the current screen displayed on the dual-mode display, and multiple sub-screen features are determined based on the recognition of the multiple sub-screen regions. When the dual-mode display interacts with external devices, the interaction signal between the dual-mode display and the external device is collected, the current interaction path is determined by tracing the interaction signal, and the first mode coefficient is determined based on the current interaction path and multiple sub-screen features. The second mode coefficient is determined based on the characteristics of multiple sub-screens and the overall display content of the current screen; the current display mode of the dual-mode display is determined based on the first mode coefficient, the second mode coefficient, and the display mode mapping relationship.

4. The control method for a dual-mode display according to claim 1, characterized in that, The process involves determining the display data space of the dual-mode display based on the current display mode, outputting a corresponding display mode list, and determining autonomous control events for the dual-mode display based on the display mode list, the interaction signals of the dual-mode display, and the current display data of the dual-mode display, including: The current display mode of the dual-mode display is collected. The display data space of the dual-mode display is determined by matching the current display mode of the dual-mode display with the dual-mode display database. The corresponding display mode list is determined based on the detection of the display data space of the dual-mode display. At this time, the display mode list records the display modes stored by the dual-mode display in the past. Multiple display modes are determined based on the identification of the display mode list, and the mode content of each display mode is marked.

5. The control method for a dual-mode display according to claim 4, characterized in that, The step of determining the display data space of the dual-mode display based on the current display mode and outputting the corresponding display mode list, and determining the autonomous control event of the dual-mode display based on the display mode list, the interaction signal of the dual-mode display, and the current display data of the dual-mode display, further includes: Collect the interaction signals between the dual-mode display and external devices, and determine the corresponding interaction content based on the analysis of the interaction signals; determine the first mode control coefficient based on the interaction content and the mode content of each display mode; When the dual-mode display is in display mode, the current display data of the dual-mode display is collected, the second mode control coefficient is determined based on the current display data of the dual-mode display and the interactive content, and the autonomous control event of the dual-mode display is determined based on the first mode control coefficient, the second mode control coefficient and the autonomous control mapping relationship.

6. The control method for a dual-mode display according to claim 1, characterized in that, If the autonomous control event of the dual-mode display contains display failure content, then multiple display failure features are determined based on the detection of the display failure content. A display failure event is determined by cross-matching the multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display, including: Collect autonomous control events from dual-mode displays, determine the set of autonomous control content based on the detection of autonomous control events from dual-mode displays, determine multiple sub-autonomous control items based on the identification of the set of autonomous control content, and mark the corresponding autonomous control content.

7. The control method for a dual-mode display according to claim 6, characterized in that, If the autonomous control event of the dual-mode display contains display failure content, then multiple display failure features are determined based on the detection of the display failure content, and a display failure event is determined by cross-matching the multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display. This also includes: Each autonomous control content is traversed. If an autonomous control content contains content that fails to display, the corresponding display emergency measures are triggered based on the content that fails to display. In the display emergency measures, multiple display failure features are determined based on the identification of the content that fails to display. Cross-matching is performed on multiple display failure characteristics, past usage events of the dual-mode display, and the service life of the dual-mode display to output multiple sub-display identification events. Display failure events of the dual-mode display during group operation are constructed based on the multiple sub-display identification events.

8. A control system for a dual-mode display, characterized in that, The control system of the dual-mode display is applied to the control method of the dual-mode display as described in any one of claims 1-7, and the control system of the dual-mode display includes: The working status module is used to collect multiple working parameters of the dual-mode display and determine the working status of the dual-mode display based on the multiple working parameters of the dual-mode display and the working scene in which the dual-mode display is located. The current display mode module is used to determine multiple sub-screen features based on the recognition of the current screen displayed by the dual-mode display, and to determine the current display mode of the dual-mode display based on the multiple sub-screen features and the working state of the dual-mode display. The autonomous control event module is used to determine the display data space of the dual-mode display according to the current display mode, and output the corresponding display mode list. It also determines the autonomous control event of the dual-mode display based on the display mode list, the interaction signal of the dual-mode display, and the current display data of the dual-mode display. The display failure event module is used to determine multiple display failure features based on the detection of display failure content if the autonomous control event of the dual-mode display contains display failure content, and to determine the display failure event based on the cross-matching of multiple display failure features, the previous usage events of the dual-mode display, and the service life of the dual-mode display. The display mode addition module is used in dual-mode displays. The first control space continuously controls the current display of the dual-mode display, and the second control space triggers multi-path autonomous optimization based on display failure events to add new display modes.

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