Adaptive display definition optimization system and method based on time variation

Abstract

The invention discloses a self-adaptive display definition optimization system and method based on time variation, and the system comprises a time detection module which is used for obtaining the information of a current time period; the ambient light sensor is used for detecting ambient light intensity and color temperature; the display parameter adjusting module is used for dynamically adjusting the resolution, sharpness, color temperature, brightness and blue light proportion of the display according to the time period and the ambient light data; the user habit learning module is used for analyzing user manual adjustment records and optimizing default parameters; the eye protection mode module is used for triggering protective adjustment of display parameters according to the continuous use duration; according to the invention, the resolution and sharpness can be automatically adjusted according to different time periods, and the definition and the visual comfort are balanced; blue light radiation is intelligently reduced at night, and interference on melatonin secretion is reduced; unnecessary display parameters are automatically reduced according to ambient light and time, and the endurance of equipment is prolonged; and a customized display mode is provided by learning user habits.

Description

Technical Field

[0001] The present invention relates to the technical field of display screens, and in particular to a time-varying adaptive display definition optimization system and method. Background Art

[0002] Existing display adjustment technologies usually rely on manual settings or simple ambient light sensing (such as automatic brightness adjustment), which have the following shortcomings: (1) Static adjustment mode: Users need to manually switch display modes (such as reading mode and night mode), and cannot dynamically adjust comprehensive parameters such as clarity and color temperature according to time.

[0003] (2) Single ambient light dependence: The brightness is adjusted only according to the ambient light intensity, without considering the differences in display requirements at different times (such as daytime, evening, and night).

[0004] (3) Visual fatigue problem: Using a fixed display mode for a long time can easily lead to visual fatigue, especially at night when excessive blue light may affect the user's sleep quality.

[0005] Therefore, there is an urgent need for an intelligent display optimization solution that can combine time, environment and user habits. Summary of the invention

[0006] The purpose of the present invention is to provide a time-varying adaptive display definition optimization system and method for the above-mentioned problems in the prior art, thereby solving all or one of the above-mentioned problems in the prior art.

[0007] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In one aspect, the present invention provides a time-varying adaptive display definition optimization system, comprising: Time detection module, used to obtain current time period information; Ambient light sensor, used to detect ambient light intensity and color temperature; Display parameter adjustment module, used to dynamically adjust the resolution, sharpness, color temperature, brightness and blue light ratio of the display according to the time period and ambient light data; User habit learning module, used to analyze user manual adjustment records and optimize default parameters; The eye protection mode module is used to trigger protective adjustments to display parameters based on continuous use time.

[0008] Furthermore, the time detection module supports calculation of sunrise and sunset times based on geographic location, and divides a day into four time periods: morning, daytime, evening, and late night.

[0009] Furthermore, the display parameter adjustment module is also used to improve sharpness and contrast during the day, and reduce the proportion of blue light and switch to warm color temperature at night.

[0010] Furthermore, the user habit learning module establishes a user preference model through a machine learning algorithm and automatically corrects default parameters.

[0011] Furthermore, the eye protection mode module is also used to trigger a step-by-step reduction in the blue light ratio and a screen rest reminder after the user has used the screen continuously for more than a set period of time.

[0012] Furthermore, the ambient light sensor is also used to support multi-spectral detection to distinguish the color temperature difference between natural light and artificial light sources.

[0013] Furthermore, the display parameter adjustment module is also used to support linkage with an application program and to superimpose a specific optimization strategy according to the content type.

[0014] Furthermore, the user habit learning module is also used to provide a user-defined interface to support manual overwriting or fine-tuning of automatically generated display parameters.

[0015] Furthermore, the eye protection mode module detects the user's fatigue state through a camera and dynamically adjusts the prompt frequency.

[0016] On the other hand, the present invention also provides a method for optimizing the definition of an adaptive display based on time variation, comprising the following steps: Get the current time period information; Detect ambient light intensity and color temperature; Dynamically adjust the display's resolution, sharpness, color temperature, brightness, and blue light ratio based on time period and ambient light data; Analyze user manual adjustment records and optimize default parameters; Trigger protective adjustments to display parameters based on continuous usage duration.

[0017] The beneficial effects of the technical solution of the present invention are: 1. The time-based adaptive display clarity optimization system described in the present invention can automatically adjust the resolution and sharpness according to different time periods through the mutual cooperation of system modules, balance clarity and visual comfort; intelligently reduce blue light radiation at night to reduce interference with melatonin secretion; automatically reduce non-essential display parameters according to ambient light and time to extend device life; and provide customized display modes by learning user habits.

[0018] 2. The time-based adaptive display definition optimization method described in the present invention can call system modules in an orderly manner, thereby realizing the system logic of the time-based adaptive display definition optimization system described in the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 1 is a schematic diagram of the architecture of the time-varying adaptive display definition optimization system according to Embodiment 1 of the present invention; Figure 2 It is a flow chart of the method for optimizing the clarity of an adaptive display based on time changes described in Example 2 of the present invention. DETAILED DESCRIPTION

[0021] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.

[0022] In the description of the present invention, it should be noted that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all of the embodiments; based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present invention.

[0023] The terms "first", "second", etc. in the specification and claims of this article and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of this article described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. Example 1

[0024] This embodiment provides a time-based adaptive display definition optimization system. Figure 1 As shown, including: (1) Time detection module: obtains the current time and time period (such as morning, daytime, evening, and late night), and supports calculation of sunrise and sunset times based on geographic location.

[0025] (2) Ambient light sensor: real-time detection of ambient light intensity and color temperature.

[0026] (3) Display parameter adjustment module: Dynamically adjust the following parameters based on time and ambient light data: (3.1) Resolution and sharpness: Enhance sharpness during the day to improve clarity, and reduce it appropriately at night to avoid glare; (3.2) Color temperature and blue light ratio: Use cool colors (6500K) during the day, switch to warm colors (3000K4000K) and reduce blue light radiation at night.

[0027] (3.3) Brightness and contrast: Automatically match the optimal brightness based on the ambient light intensity to avoid being too bright or too dark.

[0028] (4) User habit learning module: Analyze user manual adjustment records through machine learning and optimize default parameter settings.

[0029] (5) Eye protection mode module: detects the user's continuous use time and triggers dynamic adjustments (such as timed reduction of blue light ratio or pop-up rest reminder).

[0030] Specifically, in one implementation, the working logic of each of the above modules is as follows: Time and environment detection: The time detection module obtains the current time as "20:00" and determines it as "night mode"; the ambient light sensor detects the light intensity as "50 lux" (low light environment).

[0031] Parameter adjustment logic: Color temperature: The display parameter adjustment module switches the daytime 6500K to 3800K, reducing the blue light ratio by 40%.

[0032] Sharpness: The display parameter adjustment module adjusts the daytime "high sharpness" to "medium sharpness" to avoid glare on the edges of text at night.

[0033] Brightness: The display parameter adjustment module sets the brightness to 30% based on the ambient light of 50 lux (if the user is accustomed to lower brightness at night, it can be further adjusted to 25%).

[0034] User habit learning: If the user frequently manually lowers the brightness to 20% between 20:00 and 22:00, the user habit learning module automatically sets the default brightness for that period to 20%.

[0035] Eye protection mode trigger: After the user uses it continuously for 2 hours, the eye protection mode module will be superimposed with the "eye protection enhanced mode", which will reduce the blue light ratio by another 20% and pop up a rest reminder.

[0036] Specifically, in one embodiment, the system architecture of the present invention includes the following components: (1) Hardware layer: display panel, ambient light sensor, GPU, timing chip.

[0037] (2) Driver layer: The display driver chip integrates an adaptive algorithm and supports real-time parameter adjustment.

[0038] (3) Software layer: (3.1) Time management service: synchronize network time or GPS location data.

[0039] (3.2) Machine learning engine: Analyzes user historical operation data (such as manual setting records of brightness and color temperature).

[0040] (3.3) User interaction interface: Provides “custom time segment” and “mode override” options.

[0041] Specifically, in one implementation, the application effects of the system are as follows: 1. Office scene (daytime): Time: 14:00 (daytime), ambient light intensity 200 lux.

[0042] The system automatically enhances sharpness to 90%, maintains color temperature at 6500K, and sets brightness to 60% to ensure that documents and charts are displayed clearly.

[0043] 2. Nighttime entertainment scene: Time: 22:30 (late at night), ambient light intensity 10 lux.

[0044] The system switches to "Cinema Mode": color temperature 3200K, blue light reduced by 60%, contrast increased by 10%, optimizing the movie viewing experience.

[0045] It should be noted that the above examples are only for explaining the present invention and cannot limit the protection scope of the present invention. Example 2

[0046] This embodiment is based on the same inventive concept as the time-varying adaptive display definition optimization system described in Embodiment 1, and provides a time-varying adaptive display definition optimization method, such as Figure 2 As shown, the following steps are included: S100, obtaining current time period information; S200, detects ambient light intensity and color temperature; S300, dynamically adjusting the resolution, sharpness, color temperature, brightness and blue light ratio of the display according to the time period and ambient light data; S400, analyzing the user's manual adjustment records and optimizing the default parameters; S500: Triggering protective adjustment of display parameters according to the continuous use time.

[0047] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.

[0048] It should also be understood that in the embodiments of this article, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0049] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this article.

[0050] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific logical process of the method described above can refer to the corresponding working processes of the systems, devices and units in the aforementioned method embodiments, and will not be repeated here.

[0051] In the several embodiments provided herein, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0052] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of this article.

[0053] In addition, each functional unit in each embodiment of this invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.

[0054] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0055] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An adaptive display definition optimization system based on time change, characterized in that: include: Time detection module, used to obtain current time period information; Ambient light sensor, used to detect ambient light intensity and color temperature; Display parameter adjustment module, used to dynamically adjust the resolution, sharpness, color temperature, brightness and blue light ratio of the display according to the time period and ambient light data; User habit learning module, used to analyze user manual adjustment records and optimize default parameters; The eye protection mode module is used to trigger protective adjustments to display parameters based on continuous use time.

2. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The time detection module supports calculating sunrise and sunset times based on geographic location, and divides a day into four time periods: morning, daytime, evening, and late night.

3. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The display parameter adjustment module is also used to improve sharpness and contrast during the day, and reduce the proportion of blue light and switch to warm color temperature at night.

4. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The user habit learning module establishes a user preference model through a machine learning algorithm and automatically corrects the default parameters.

5. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The eye protection mode module is also used to trigger a step-by-step reduction in the blue light ratio and a screen rest reminder after the user has used the screen continuously for more than a set period of time.

6. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The ambient light sensor is also used to support multi-spectral detection to distinguish the color temperature difference between natural light and artificial light sources.

7. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The display parameter adjustment module is also used to support linkage with application programs and to superimpose specific optimization strategies according to content types.

8. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The user habit learning module is also used to provide a user-defined interface to support manual overwriting or fine-tuning of automatically generated display parameters.

9. The time-varying adaptive display definition optimization system according to claim 1, characterized in that: The eye protection mode module detects the user's fatigue state through a camera and dynamically adjusts the prompt frequency.

10. A method for optimizing the definition of an adaptive display based on time variation, characterized in that: The following steps are involved: Get the current time period information; Detect ambient light intensity and color temperature; Dynamically adjust the display's resolution, sharpness, color temperature, brightness, and blue light ratio based on time period and ambient light data; Analyze user manual adjustment records and optimize default parameters; Trigger protective adjustments to display parameters based on continuous usage duration.

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