Display screen-based indicating device

Abstract

The invention provides an indicating device based on a display screen, and belongs to the technical field of display screens, and the indicating device comprises an initialization module used for carrying out initialization setting on the display screen, a sensor module used for collecting a parameter set of an environment where the display screen is located in real time, and receiving an input set from external equipment based on the display screen; the central processing module is used for analyzing and judging the collected parameter set and the input set, determining the current working scene and the user demand, and generating indication content and a display control instruction in combination with the preference of the user; and the display screen driving module is used for controlling the display screen to display based on the generated indication content and the display control instruction, and monitoring the working state of the display screen in real time in the display process to perform exception handling. The diversified and personalized display requirements of the user are met, and the fault occurrence probability of the display screen is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of display screens, and in particular to a pointing device based on a display screen. Background Art

[0002] In the current field of display technology, the display settings of most displays are relatively fixed or only support simple manual adjustment. On the one hand, when facing changes in different environmental parameters, such as sudden changes in light intensity, fluctuations in ambient temperature and humidity, etc., the display screen cannot automatically adapt to ensure the best display effect, and often encounters problems such as the display screen being too dark or too bright, and the screen being fogged, which affects the user's viewing experience. On the other hand, in terms of initialization settings, the existing technology lacks flexible and personalized configuration methods, making it difficult to meet the user's needs for differentiated settings of parameters in different display areas. The cascade initialization operation of multiple display screens is cumbersome and inefficient. In addition, when determining work scenarios and user needs, the display screen often cannot fully combine user preferences with external input information, and cannot generate accurate instruction content and display control instructions, resulting in a disconnect between the display function and the actual needs of the user, which seriously restricts the development of intelligent and convenient display use.

[0003] Therefore, the present invention proposes a display-based indicating device. Summary of the Invention

[0004] The present invention provides an indication device based on a display screen to solve the above-mentioned technical problems.

[0005] The present invention provides an indication device based on a display screen, comprising: Initialization module, used to initialize the display screen; A sensor module is used to collect a set of parameters of the environment in which the display screen is located in real time, the set of parameters including light intensity, temperature, humidity, and human flow, and to receive an input set from an external device based on the display screen; A central processing module is used to analyze and judge the collected parameter sets and input sets, determine the current working scenario and user needs, and generate instruction content and display control instructions based on user preferences, wherein the preferences are related to display clarity indicators and readability indicators; The display screen driver module is used to control the display screen to display based on the generated instruction content and display control instructions, and monitor the working status of the display screen in real time during the display process to handle exceptions.

[0006] Preferably, the initialization module includes: The hardware parameter layer is used to establish a parameter matrix based on the physical characteristics of the display and perform parameter initialization; The scene configuration layer is used to preset a library of various basic modes. Each mode uses a dynamic area division algorithm to achieve flexible configuration of the display area and supports personalized initial settings of parameters for independent display areas. The user-defined layer is used to provide a visual initialization configuration interface, customize the display area shape through Bezier curves, and support cascade initialization of multiple displays.

[0007] Preferably, the central processing module includes: Establishment unit, used to establish reference bodies for different hypothetical scenarios; The candidate unit is used to normalize each parameter in the parameter set, map it to different reference bodies according to the scene characteristics, calculate the basic probability distribution function of each reference body for each scene hypothesis, and screen out candidate scenes; Sequence acquisition unit, used to construct the observation matrix of candidate scenes ,in, Represents candidate scenarios Lower observation value The probability distribution of and solve the optimal scene sequence; Among them, the optimal scene sequence is the current working scene.

[0008] Preferably, the central processing module further includes: The model analysis unit is used to input the input set into the behavior analysis model to obtain user needs.

[0009] Preferably, the central processing module further includes: The function construction unit is used to define the display clarity optimization objective function F1 and the dynamic font adjustment function D1 in combination with user preferences.

[0010] Preferably, the function construction unit includes:

[0011]

[0012]

[0013] in, 、 are weights respectively; The current actual brightness and the optimal brightness The absolute deviation of The contribution of the user's preferred clarity weight to brightness; Provide a base for basic brightness; Respectively represent the maximum brightness and minimum brightness supported by the display; The current actual contrast and the optimal contrast The absolute value deviation of Indicates the contribution of the user's preferred clarity weight to contrast; +200:1 is the base contrast ratio. The maximum and minimum contrast ratios supported by the display.

[0014] Preferably, the function construction unit further includes:

[0015] in, is the text complexity index of the corresponding user; Respectively represent the maximum set text complexity index and the minimum set text complexity index; is the initial font; A function that adjusts text based on readability.

[0016] Preferably, the central processing module further includes: A selection unit, configured to select a matching basic template from an instruction content template library according to a determined work scenario and user needs; A supplementing and adjusting unit, configured to substitute the extracted user preference parameters into the reserved positions in the basic template, personalize the basic template, and supplement and adjust the personalized template content in combination with the specific parameters and input set of the current scenario; The dynamic update unit is used to establish an indication content effect feedback mechanism, collect user operation response data and feedback evaluation on the generated indication content, and dynamically update the indication content template library.

[0017] Preferably, the display screen driving module includes: a parsing unit, configured to parse the generated indication content and display control instructions, and construct an initial display configuration scheme for the display screen based on the multimodal presentation preference parameters of the indication content and the display mode, brightness, and contrast in the display control instructions; A system establishment unit is used to establish a display screen working status monitoring indicator system, wherein the monitoring indicator system includes display refresh rate, pixel status, color deviation rate, temperature parameters and energy consumption data; The trigger unit is used to collect working status monitoring indicator data of the display screen in real time at preset time intervals while the display screen is displaying according to the initial display configuration scheme, compare the real-time collected monitoring indicator data with the pre-set normal threshold range of the corresponding indicator, and trigger an abnormality warning if any corresponding monitoring indicator data exceeds the corresponding normal threshold range; A type determination unit is used to determine the specific abnormality type based on the monitoring indicator data exceeding the threshold range when the abnormality warning is triggered, and to call the corresponding abnormality handling strategy from the abnormality type-handling strategy mapping library; An exception handling unit is used to continuously monitor the working status monitoring indicator data of the display screen during the execution of the exception handling strategy. When the monitoring indicator data returns to within the normal threshold range, the exception handling process is terminated, and the display configuration of the display screen is restored to the state before the exception or adjusted to the optimized display configuration according to the display recovery preference parameters in the user preferences; If the user prefers to quickly restore the display, after the exception is handled, the display configuration will be restored to the state before the exception; If the user prefers to optimize the display effect, the display configuration will be optimized and adjusted based on the user's historical operation data and current work scenario.

[0018] Preferably, the abnormality types are screen freeze abnormality caused by display refresh rate being lower than a threshold, pixel bad pixel abnormality, display distortion abnormality caused by excessive color deviation rate, overheating abnormality caused by temperature parameters exceeding a threshold, and power consumption abnormality caused by abnormal fluctuation of energy consumption data.

[0019] Compared with the prior art, the present invention has the following advantages: By collecting environmental parameter sets and external device input sets in real time and combining them with user preferences, the display screen can accurately adapt to different work scenarios and user needs, automatically adjust display parameters, and significantly improve display clarity and readability indicators. It also provides a wealth of initialization settings, including parameter matrix initialization, dynamic area division, custom display area shape, and multi-display cascade initialization, to meet users' diverse and personalized display needs. It also monitors the working status of the display screen in real time and handles exceptions in a timely manner, effectively reducing the probability of display screen failures.

[0020] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0021] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a structural diagram of a display-based indicating device in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0024] The present invention provides an indication device based on a display screen, such as Figure 1 Shown, including: Initialization module, used to initialize the display screen; A sensor module is used to collect a set of parameters of the environment in which the display screen is located in real time, the set of parameters including light intensity, temperature, humidity, and human flow, and to receive an input set from an external device based on the display screen; A central processing module is used to analyze and judge the collected parameter sets and input sets, determine the current working scenario and user needs, and generate instruction content and display control instructions based on user preferences, wherein the preferences are related to display clarity indicators and readability indicators; The display screen driver module is used to control the display screen to display based on the generated instruction content and display control instructions, and monitor the working status of the display screen in real time during the display process to handle exceptions.

[0025] Preferably, the initialization module includes: The hardware parameter layer is used to establish a parameter matrix based on the physical characteristics of the display and perform parameter initialization; The scene configuration layer is used to preset a library of various basic modes. Each mode uses a dynamic area division algorithm to achieve flexible configuration of the display area and supports personalized initial settings of parameters for independent display areas. The user-defined layer is used to provide a visual initialization configuration interface, customize the display area shape through Bezier curves, and support cascade initialization of multiple displays.

[0026] In this embodiment, display initialization involves preconfiguring basic parameters and display modes before the display is put into use. This is essential for the normal and efficient operation of the display. Specifically, a parameter matrix is established based on the physical characteristics of the display. This matrix contains basic physical parameters such as the display's resolution, refresh rate, and color space. For example, during initialization, a 4K resolution display can be configured to 3840×2160 and 60Hz using the parameter matrix. A library of basic modes is also pre-set, such as Office, Movie, and Gaming. Each mode uses a dynamic area partitioning algorithm to enable flexible configuration of the display area. For example, Office mode can divide the screen into three independent areas: document editing, data review, and communication. Individual display area parameters can be customized initially, such as setting a smaller font size and higher contrast in the document editing area for easier reading; and a larger image display scale in the data review area. Furthermore, the system provides a visual initialization configuration interface, allowing users to customize the display area shape using Bezier curves, such as creating an irregular polygon. For cascading multiple displays, this interface supports simultaneous initialization configuration of multiple displays, significantly improving setup efficiency. In this embodiment, real-time parameter collection continuously collects information about various parameters of the display screen's environment at a certain frequency, providing data support for subsequent analysis and decision-making. Specifically, the parameter set includes light intensity, temperature, humidity, and pedestrian flow. Data collection is achieved by installing environmental sensors around the display screen. For example, a photosensor collects light intensity. During the daytime, outdoor light intensity can reach over 5000 lux, while at night, indoor light intensity can be as low as 50 lux. A temperature sensor monitors ambient temperature in real time. In hot summer weather, indoor temperatures can reach 30°C, while in cold winter weather, temperatures can drop below 10°C. A humidity sensor captures humidity data. During the humid rainy season, humidity can reach as high as 80%, while during the dry winter, humidity can drop to as low as 30%. Pedestrian flow can be measured using infrared sensors or cameras combined with image recognition technology. In high-traffic locations like shopping malls, pedestrian flow can reach up to 20 people per minute, while in quiet offices, it is less frequent. In this embodiment, the external device input set is a collection of various instructions, data, and other information received by the display screen from connected external devices. Specifically, external devices include, but are not limited to, computers, mobile phones, and tablets. When the display screen is connected to a computer, the input set may include display content data sent by the computer, such as high-definition video files and complex graphic design documents; it may also include operational instructions, such as instructions for adjusting screen resolution and switching display modes. If connected to a mobile phone, the input set may include photos and short videos projected from the phone, as well as user-operated instructions for adjusting the brightness and volume of the display screen. In this embodiment, the analysis and judgment of work scenarios and user needs is based on the collected parameter sets and input sets, using specific algorithms and models to identify the work scenario of the current display screen and the user's desired usage needs. Specifically, when the system's built-in scene analysis algorithm detects strong light intensity, a video file as the input set, and a large flow of people, it determines that the current work scenario is an outdoor advertising display, and the user's needs may be a high-brightness, high-contrast display effect to attract the audience's attention. For example, when the ambient temperature is low and the humidity is moderate, the input set is an office document, and the user preference model indicates that the user is accustomed to large fonts and soft display tones, it determines that the work scenario is indoor office work, and the user needs a comfortable reading and editing environment. Then, based on the user's preferences, corresponding instruction content and display control instructions are generated. In this embodiment, user preferences are personalized preferences for display clarity and readability based on factors such as user usage habits and visual perception. Specifically, user preferences are acquired and stored in a user preference model through historical user operation data, active setting information, and the like. For example, a user frequently sets the display brightness to 60% and the contrast to 70% during multiple uses, and the system learns the user's preferences for brightness and contrast. In terms of display clarity, some users prefer high-resolution displays to clearly see details; in terms of readability, some users prefer specific font types and sizes, such as Songti size 12. The system fully considers these preferences when generating instruction content and display control instructions. In this embodiment, the instruction content is information that provides feedback to the user on the current working scene and operation prompts; the display control instruction is a set of commands used to control the various display parameters and functions of the display screen. Specifically, if the working scene is image editing, the instruction content may prompt that the current scene is image editing, and it is recommended to use professional color mode, while providing operation prompts such as layer operation and color adjustment. The display control instruction switches the color space of the display screen to AdobeRGB according to user preferences and scene requirements to improve color reproduction; adjusts brightness and contrast to more accurately display image details. When the working scene switches to video playback, the instruction content informs the user of the current scene and prompts to turn on theater mode. The display control instruction adjusts the refresh rate of the display screen to match the video frame rate to enhance the smoothness of the picture.

[0027] In this embodiment, real-time monitoring and exception handling means continuously monitoring the working status of the display screen during the display process, and taking corresponding measures to handle abnormal situations in a timely manner. Specifically, the working status data of the display screen, such as the display panel temperature, pixel working status, signal transmission stability, etc., are collected in real time through the built-in sensors and monitoring programs of the display screen. If the display panel temperature is detected to be too high, the system triggers the exception handling mechanism, automatically reduces the brightness and refresh rate of the display screen to reduce power consumption and heat generation, and displays a prompt message on the screen that the device temperature is too high and the display parameters have been automatically adjusted. If a bad pixel is detected in the pixel, the system marks the location of the bad pixel and prompts the user in the instruction content that there is an abnormal display area, and provides a suggestion to contact after-sales maintenance.

[0028] The beneficial effects of the above technical solution are: by real-time collection of environmental parameter sets and external device input sets, combined with user preferences, the display screen can accurately adapt to different work scenarios and user needs, automatically adjust display parameters, significantly improve display clarity and readability indicators, and provide rich initialization setting functions, including parameter matrix initialization, dynamic area division, custom display area shape, and multi-display cascade initialization, etc., to meet users' diverse and personalized display needs, monitor the working status of the display screen in real time and handle exceptions in a timely manner, effectively reducing the probability of display screen failure.

[0029] The present invention provides an indication device based on a display screen, a central processing module, comprising: Establishment unit, used to establish reference bodies for different hypothetical scenarios; The candidate unit is used to normalize each parameter in the parameter set, map it to different reference bodies according to the scene characteristics, calculate the basic probability distribution function of each reference body for each scene hypothesis, and screen out candidate scenes; Sequence acquisition unit, used to construct the observation matrix of candidate scenes ,in, Represents candidate scenarios Lower observation value The probability distribution of and solve the optimal scene sequence; Among them, the optimal scene sequence is the current working scene.

[0030] Preferably, the central processing module further includes: The model analysis unit is used to input the input set into the behavior analysis model to obtain user needs.

[0031] Preferably, the central processing module further includes: The function construction unit is used to define the display clarity optimization objective function F1 and the dynamic font adjustment function D1 in combination with user preferences.

[0032] Preferably, the function construction unit includes:

[0033]

[0034]

[0035] in, 、 are weights respectively; The current actual brightness and the optimal brightness The absolute deviation of The contribution of the user's preferred clarity weight to brightness; Provide a base for basic brightness; Respectively represent the maximum brightness and minimum brightness supported by the display; The current actual contrast and the optimal contrast The absolute value deviation of Indicates the contribution of the user's preferred clarity weight to contrast; +200:1 is the base contrast ratio. The maximum and minimum contrast ratios supported by the display.

[0036] Preferably, the function construction unit further includes:

[0037] in, is the text complexity index of the corresponding user; Respectively represent the maximum set text complexity index and the minimum set text complexity index; is the initial font; A function that adjusts text based on readability.

[0038] Preferably, the central processing module further includes: A selection unit, configured to select a matching basic template from an instruction content template library according to a determined work scenario and user needs; A supplementing and adjusting unit, configured to substitute the extracted user preference parameters into the reserved positions in the basic template, personalize the basic template, and supplement and adjust the personalized template content in combination with the specific parameters and input set of the current scenario; The dynamic update unit is used to establish an indication content effect feedback mechanism, collect user operation response data and feedback evaluation on the generated indication content, and dynamically update the indication content template library.

[0039] In this embodiment, assuming the application is to scene determination for smart office display screens, the establishment unit first presets hypothetical scenarios such as "document editing scene," "video conferencing scene," and "graphic design scene." For the "document editing scene" reference volume, characteristic parameters are set to include moderate light intensity (e.g., 500-1500 lux), input set primarily for text document transmission, and display emphasis on clear and legible fonts. A data table for these scene reference volumes is constructed in the system database through programming, storing information such as feature thresholds and environmental parameter ranges corresponding to each scene. This is implemented by using software development tools (e.g., Python combined with the database management system MySQL) to write code logic for creating and storing reference volume data, converting the preset scene characteristics into a data structure that can be recognized and called by the system.

[0040] At a certain moment, the ambient light intensity of the display screen is 2000 lux (a parameter in the parameter set) and the temperature is 25°C. The input data set is a Word document transmission. The candidate unit first normalizes the light intensity (assuming the original range is 0-10000 lux) and the temperature (assuming the original range is 0-50°C) to 0.5. These parameters are then mapped to the "document editing scene" reference volume based on its moderate light intensity (corresponding to 0.1-0.3 after normalization) and the fact that the input volume is a text document. When calculating the basic probability distribution function, an algorithm based on DS evidence theory is used. The probability that the reference volume corresponds to the "document editing scene" hypothesis is calculated by combining the degree of match between each parameter and the reference volume's features. Similarly, the probabilities of the corresponding scenes for other reference volumes are calculated. Finally, several scenes with high probabilities are selected as candidate scenes, such as "document editing scene" and "light office browsing scene." The implementation method is to use a mathematical computing library (such as Python's NumPy library) to implement the normalization algorithm, combine it with the customized probability distribution function calculation logic, and write code to complete parameter mapping, probability calculation, and candidate scenario screening.

[0041] There are two candidate scenarios: "Document Editing" and "Video Conferencing." The observations u include light intensity, input data type, and user operation frequency. For the "Document Editing" scenario, the probability of different observations u occurring is calculated, such as a probability of 0.6 when the light intensity is between 500-1500 lux and a probability of 0.8 when the input is a text document, to construct bo1(u). Similarly, bo2(u) is constructed for the "Video Conferencing" scenario o2, forming the observation matrix B. An algorithm such as a hidden Markov model (HMM) is then used to find the optimal scenario sequence. Assuming that the "Document Editing" scenario has the highest probability in the sequence, it is determined to be the current working scenario. This is accomplished by using a machine learning library (such as Python's Hmmlearn library) to construct and solve the observation matrix, deriving the scenario sequence. Code is then written to convert the observation data for the candidate scenarios into a matrix form, which is then fed into the algorithm for solution.

[0042] The input set consists of users frequently clicking on the "font enlargement" and "contrast enhancement" commands on the display screen. The behavior analysis model can be a deep learning-based classification model, pre-trained with a large amount of user operation-demand correspondence data (e.g., collecting user clicks on font adjustment, display parameter adjustment, and other operations, annotated with corresponding labels such as "need to improve reading clarity" and "need to optimize visual effects"). When these operation commands are input into the model, the model recognizes the operation characteristics and outputs "the user has a need to improve the readability of the displayed content and optimize the display clarity." This is achieved by building and training the behavior analysis model using deep learning frameworks (such as TensorFlow and PyTorch), writing data preprocessing code to convert the input set into a feature vector that the model can recognize, and then inputting it into the model to obtain the required results.

[0043] In the instructive content template library, the base template corresponding to "document editing scenario" and "improved reading clarity requirements" is "Currently in a document editing scenario, font and contrast have been optimized to facilitate clear reading. You can try XX operations for further adjustments." The selection unit identifies the work scenario and user requirement tags, searches the template library for matching tags, and selects the template. This is achieved by building a template library (a database can be used to store templates and corresponding tags), writing search and matching algorithm code, inputting the work scenario and user requirement tags, and finding the corresponding base template from the library. The base template reserves spaces for "[Preferred font type]" and "[Current brightness value]." If the user's preferred font is "Songti" and the current brightness is 300 ints, then "Songti" and "300 ints" are entered. Given that the current scenario parameters indicate an input document with 5,000 words (a relatively large number), and the input set indicates that the document contains numerous tables, the template is supplemented with the following: "The document is large in words and contains tables. The font size has been enlarged. It is recommended to enable column display." The implementation method is to write code to extract user preference parameters (obtained from the user preference model database), replace the template reserved content, and then analyze the current scene parameters and input set to supplement the personalized prompt content.

[0044] The generated instruction prompts "Recommend turning on night mode" and collects data on whether users click to turn it on (action response data) as well as user feedback such as "very comfortable after turning it on" or "too dim after turning it on" (feedback evaluation). If the majority of users report that it is comfortable after turning it on, the priority of the "Recommend turning on night mode" template for that scenario is increased; if the feedback is too dim, the template content is adjusted to "Recommend trying to adjust the night mode brightness." This is implemented by setting up a data collection module in the system to record user actions and feedback, developing data analysis and template library update code, and optimizing the templates regularly or in real time based on this feedback.

[0045] The beneficial effects of the above technical solution are: using multi-step scenario assumptions, parameter mapping, probability calculation and sequence deduction, it can accurately determine the current working scenario, adapt the display screen to different usage environments, and explore the user's real needs from the input set to make subsequent display optimization more in line with the user's wishes. The F1 and D1 functions of the function construction unit dynamically optimize the display clarity and font based on user preferences to achieve display effects that are different for each person.

[0046] The present invention provides an indication device based on a display screen, wherein the display screen driving module comprises: a parsing unit, configured to parse the generated indication content and display control instructions, and construct an initial display configuration scheme for the display screen based on the multimodal presentation preference parameters of the indication content and the display mode, brightness, and contrast in the display control instructions; A system establishment unit is used to establish a display screen working status monitoring indicator system, wherein the monitoring indicator system includes display refresh rate, pixel status, color deviation rate, temperature parameters and energy consumption data; The trigger unit is used to collect working status monitoring indicator data of the display screen in real time at preset time intervals while the display screen is displaying according to the initial display configuration scheme, compare the real-time collected monitoring indicator data with the pre-set normal threshold range of the corresponding indicator, and trigger an abnormality warning if any corresponding monitoring indicator data exceeds the corresponding normal threshold range; A type determination unit is used to determine the specific abnormality type based on the monitoring indicator data exceeding the threshold range when the abnormality warning is triggered, and to call the corresponding abnormality handling strategy from the abnormality type-handling strategy mapping library; An exception handling unit is used to continuously monitor the working status monitoring indicator data of the display screen during the execution of the exception handling strategy. When the monitoring indicator data returns to within the normal threshold range, the exception handling process is terminated, and the display configuration of the display screen is restored to the state before the exception or adjusted to the optimized display configuration according to the display recovery preference parameters in the user preferences; If the user prefers to quickly restore the display, after the exception is handled, the display configuration will be restored to the state before the exception; If the user prefers to optimize the display effect, the display configuration will be optimized and adjusted based on the user's historical operation data and current work scenario.

[0047] Preferably, the abnormality types are screen freeze abnormality caused by display refresh rate being lower than a threshold, pixel bad pixel abnormality, display distortion abnormality caused by excessive color deviation rate, overheating abnormality caused by temperature parameters exceeding a threshold, and power consumption abnormality caused by abnormal fluctuation of energy consumption data.

[0048] In this embodiment, the initial display configuration scheme is to operate the display in text mode, with a brightness of 300 nits and a contrast ratio of 800:1. A voice announcement trigger area is reserved within the display content area (e.g., a user clicks to repeat the announcement), and a line of scene prompt text is displayed at the bottom of the screen. This is implemented by integrating the content presentation requirements and display control instructions, invoking a configuration generation algorithm to generate a configuration scheme containing information such as hardware parameters and content layout, and then issuing it to the display for execution.

[0049] In this example, the display was set to a standard office configuration (brightness 300 nits, refresh rate 60 Hz) before the exception was resolved. After the exception was resolved, the optimized configuration was adjusted to 250 nits and 120 Hz, based on the user's historical preference for high refresh rates when gaming and the current gaming scenario. This was achieved by analyzing the user's historical operation data (building an operation behavior database) and the current scenario tag, invoking a configuration optimization algorithm, and adjusting display parameters to generate a new configuration.

[0050] The beneficial effects of the above technical solution are: by parsing instructions to build the initial configuration, combining multimodal preferences and display parameters, the display screen can be adapted to user scenario requirements from the beginning, establishing a multi-dimensional monitoring indicator system, regularly collecting data and comparing thresholds, and being able to detect anomalies in the display screen hardware, display effects, etc. in the first place. With the help of the mapping library, the processing strategy can be quickly called up, continuous monitoring is carried out during processing, and the configuration is restored or optimized according to user preferences after processing, which not only efficiently solves anomalies but also respects the user's personalized needs.

[0051] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A display-based indicating device, characterized in that: include: Initialization module, used to initialize the display screen; A sensor module is used to collect a set of parameters of the environment in which the display screen is located in real time, the set of parameters including light intensity, temperature, humidity, and human flow, and to receive an input set from an external device based on the display screen; A central processing module is used to analyze and judge the collected parameter sets and input sets, determine the current working scenario and user needs, and generate instruction content and display control instructions based on user preferences, wherein the preferences are related to display clarity indicators and readability indicators; The display screen driver module is used to control the display screen to display based on the generated instruction content and display control instructions, and monitor the working status of the display screen in real time during the display process to handle exceptions.

2. The display-based indicating device according to claim 1, characterized in that: Initialization module, including: The hardware parameter layer is used to establish a parameter matrix based on the physical characteristics of the display and perform parameter initialization; The scene configuration layer is used to preset a library of various basic modes. Each mode uses a dynamic area division algorithm to achieve flexible configuration of the display area and supports personalized initial settings of parameters for independent display areas. The user-defined layer is used to provide a visual initialization configuration interface, customize the display area shape through Bezier curves, and support cascade initialization of multiple displays.

3. The display-based indicating device according to claim 1, characterized in that: Central processing module, including: Establishment unit, used to establish reference bodies for different hypothetical scenarios; The candidate unit is used to normalize each parameter in the parameter set, map it to different reference bodies according to the scene characteristics, calculate the basic probability distribution function of each reference body for each scene hypothesis, and screen out candidate scenes; Sequence acquisition unit, used to construct the observation matrix of candidate scenes ,in, Represents candidate scenarios Lower observation value The probability distribution of and solve the optimal scene sequence; Among them, the optimal scene sequence is the current working scene.

4. The display-based indicating device according to claim 1, characterized in that: The central processing module further includes: The model analysis unit is used to input the input set into the behavior analysis model to obtain user needs.

5. The display-based indicating device according to claim 3, characterized in that: The central processing module further includes: The function construction unit is used to define the display clarity optimization objective function F1 and the dynamic font adjustment function D1 in combination with user preferences.

6. The display-based indicating device according to claim 5, characterized in that: The function construction unit includes: in, 、 are weights respectively; The current actual brightness and the optimal brightness The absolute deviation of The contribution of the user's preferred clarity weight to brightness; Provide a base for basic brightness; Respectively represent the maximum brightness and minimum brightness supported by the display; The current actual contrast and the optimal contrast The absolute value deviation of Indicates the contribution of the user's preferred clarity weight to contrast; +200:1 is the base contrast ratio. The maximum and minimum contrast ratios supported by the display.

7. The display-based indicating device according to claim 6, characterized in that: The function construction unit further includes: in, is the text complexity index of the corresponding user; Respectively represent the maximum set text complexity index and the minimum set text complexity index; is the initial font; A function that adjusts text based on readability.

8. The display-based indicating device according to claim 1, characterized in that: The central processing module further includes: A selection unit, configured to select a matching basic template from an instruction content template library according to a determined work scenario and user needs; A supplementing and adjusting unit, configured to substitute the extracted user preference parameters into the reserved positions in the basic template, personalize the basic template, and supplement and adjust the personalized template content in combination with the specific parameters and input set of the current scenario; The dynamic update unit is used to establish an indication content effect feedback mechanism, collect user operation response data and feedback evaluation on the generated indication content, and dynamically update the indication content template library.

9. The display-based indicating device according to claim 1, characterized in that: The display screen driving module includes: a parsing unit, configured to parse the generated indication content and display control instructions, and construct an initial display configuration scheme for the display screen based on the multimodal presentation preference parameters of the indication content and the display mode, brightness, and contrast in the display control instructions; A system establishment unit is used to establish a display screen working status monitoring indicator system, wherein the monitoring indicator system includes display refresh rate, pixel status, color deviation rate, temperature parameters and energy consumption data; The trigger unit is used to collect working status monitoring indicator data of the display screen in real time at preset time intervals while the display screen is displaying according to the initial display configuration scheme, compare the real-time collected monitoring indicator data with the pre-set normal threshold range of the corresponding indicator, and trigger an abnormality warning if any corresponding monitoring indicator data exceeds the corresponding normal threshold range; A type determination unit is used to determine the specific abnormality type based on the monitoring indicator data exceeding the threshold range when the abnormality warning is triggered, and to call the corresponding abnormality handling strategy from the abnormality type-handling strategy mapping library; An exception handling unit is used to continuously monitor the working status monitoring indicator data of the display screen during the execution of the exception handling strategy. When the monitoring indicator data returns to within the normal threshold range, the exception handling process is terminated, and the display configuration of the display screen is restored to the state before the exception or adjusted to the optimized display configuration according to the display recovery preference parameters in the user preferences; If the user prefers to quickly restore the display, after the exception is handled, the display configuration will be restored to the state before the exception; If the user prefers to optimize the display effect, the display configuration will be optimized and adjusted based on the user's historical operation data and current work scenario.

10. The display-based indicating device according to claim 9, characterized in that: The abnormality types include screen freeze abnormality caused by display refresh rate lower than the threshold, pixel bad pixel abnormality, display distortion abnormality caused by excessive color deviation rate, overheating abnormality caused by temperature parameters exceeding the threshold, and power consumption abnormality caused by abnormal fluctuation of energy consumption data.

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