Socket charging progress display system based on augmented reality assistance

Abstract

The invention relates to the technical field of charging equipment, and discloses a socket charging progress display system based on augmented reality assistance. The system comprises a socket main body which is provided with at least one charging interface; the charging control module is configured in the socket main body and is used for acquiring charging state data of the charging interface, and the charging state data comprises one or more of charging progress, charging remaining time and charging power; the augmented reality module is configured in the socket body, electrically connected with the charging control module and used for capturing the charging state of the charging interface in real time and generating a corresponding virtual display element based on the charging state data, and the virtual display element comprises at least one of a 3D charging progress bar, a charging state graphical representation and a charging scene animation; and the display device is in communication connection with the augmented reality module, a camera of the display device is used for scanning the socket main body to trigger the augmented reality module to work, and a screen corresponding to the display device is used for displaying the virtual display element.

Description

Technical Field

[0001] This application relates to the technical field of charging devices, and particularly to a socket charging progress display system based on augmented reality assistance. Background Art

[0002] With the popularization of smart devices, as an important carrier of power terminal devices, the functional and user experience requirements of charging sockets are increasing day by day. Traditional charging sockets only provide simple charging status prompts (such as charging, fully charged) through physical indicators (such as LEDs), and have the following significant defects:

[0003] 1. Single and unintuitive information display: Traditional sockets can only display basic states such as "charging / fully charged", and cannot provide real-time feedback on refined data such as charging progress (e.g., percentage), remaining time, and charging power; even if some smart sockets display data through a mobile phone APP, users need to actively open the application to view, with high interaction costs and no intuitive association with the real scenario.

[0004] 2. Inefficient multi-interface management: When the socket has multiple charging interfaces, it is difficult to distinguish the charging status of each interface simultaneously in the traditional way. Users need to confirm the device connection situation one by one. Especially in the scenario of multi-device fast charging, there is a lack of visual load distribution and status monitoring means.

[0005] 3. Lack of personalization and immersion in user experience: The existing display methods (such as screen lists, static icons) have fixed forms, cannot customize the display style according to user preferences (such as theme color matching, animation effects), and are also difficult to improve the operation convenience through dynamic interaction (such as gesture control, scene integration).

[0006] 4. Insufficient environmental integration and interaction capabilities: The display effects of traditional display devices (such as mobile phone screens, socket-built-in displays) are greatly affected by environmental light, and cannot be dynamically mapped to the spatial position of the real physical socket, resulting in users having difficulty quickly obtaining information in complex scenarios (such as multi-socket layouts, dim environments).

[0007] In the prior art, although there are a small number of charging devices that combine visualization technology (such as displaying charging data through an LCD screen), their essence is still two-dimensional plane display, which cannot be deeply integrated with the real environment, and does not solve the spatial mapping and personalized interaction problems of multi-interface states. In addition, the existing solutions do not combine augmented reality technology with charging control strategies, and cannot dynamically adjust the display effect according to real-time charging data (such as power, remaining time) and act on the charging strategy (such as load balancing), resulting in the separation of the "display" and "control" functions and being difficult to meet the intelligent and immersive user needs.

[0008] Therefore, there is an urgent need for a system to solve at least one of the above problems. Summary of the Invention

[0009] The present application provides a socket charging progress display system assisted by augmented reality, aiming to solve the problems in the prior art. Although there are a small number of charging devices combined with visualization technology (such as displaying charging data through an LCD screen), their essence is still two-dimensional plane display, which cannot be deeply integrated with the real environment, and the problems of spatial mapping and personalized interaction of multi-interface states have not been solved. In addition, the existing solutions do not combine augmented reality technology with charging control strategies, and cannot dynamically adjust the display effect according to real-time charging data (such as power, remaining time) and act on the charging strategy (such as load balancing), resulting in the separation of the "display" and "control" functions and making it difficult to meet the intelligent and immersive user needs.

[0010] In a first aspect, an embodiment of the present application provides a socket charging progress display system assisted by augmented reality, including:

[0011] A socket body, where at least one charging interface is provided on the socket body;

[0012] A charging control module, configured in the socket body, for obtaining charging status data of the charging interface, where the charging status data includes one or more of charging progress, remaining charging time, and charging power;

[0013] An augmented reality module, configured in the socket body, electrically connected to the charging control module, for real-time capturing the charging status of the charging interface and generating corresponding virtual display elements based on the charging status data, where the virtual display elements include at least one of a 3D charging progress bar, a charging status diagram, and a charging scenario animation;

[0014] A display device, communicatively connected to the augmented reality module, where the camera of the display device is used to scan the socket body to trigger the augmented reality module to work, and the corresponding screen of the display device is used to display the virtual display elements;

[0015] Among them, the augmented reality module is further configured to control the color, length, and dynamic effect corresponding to the virtual display elements to change dynamically; the display device also obtains a virtual animation style sent by a preset user terminal and displays the charging progress according to the virtual animation style; the screen of the display device can simultaneously display the virtual display elements corresponding to each charging interface.

[0016] In some embodiments, obtaining the charging status data of the charging interface includes: collecting charging current and voltage signals in real time through a current-voltage sensor disposed at the charging interface, generating the charging status data after analog-to-digital conversion, and inputting the data into the charging control module; and / or obtaining the charging status data fed back by the charging device through the communication protocol between the charging control module and the corresponding charging device.

[0017] In some embodiments, capturing the charging status of the charging interface in real time and generating corresponding virtual display elements based on the charging status data includes: the augmented reality module generating a 3D charging progress bar with proportional mapping according to the charging progress data, where the length of the 3D charging progress bar is positively correlated with the charging percentage; generating a dynamic countdown graphic according to the remaining charging time, and characterizing the length of the remaining time by the color gradient speed; generating a charging scenario animation with a dynamic flowing light effect according to the charging power, where the flow rate of the light effect is positively correlated with the power magnitude.

[0018] In some embodiments, scanning the socket body to trigger the operation of the augmented reality module includes: an AR identification pattern for positioning is provided on the surface of the socket body, and the camera of the display device identifies the AR identification pattern through an image recognition algorithm or NFC sensing to obtain the spatial position and orientation information of the socket body, so as to trigger the augmented reality module to load corresponding virtual display elements; the AR identification pattern includes any one of a QR code, a feature graphic, and an NFC tag.

[0019] In some embodiments, controlling the dynamic changes of the color, length, and dynamic effects of the corresponding virtual display elements includes: when the charging progress is lower than a preset progress, the virtual display elements are displayed in red, and the length of the 3D charging progress bar extends dynamically according to the real-time charging percentage; when the charging power exceeds a preset threshold, a preset high-frequency dynamic light effect is triggered; when the remaining charging time is less than a preset duration, the virtual display elements gradually change to green and flow at a reduced speed.

[0020] In some embodiments, obtaining a virtual animation style sent by a preset user terminal and displaying the charging progress according to the virtual animation style includes: the display device obtains a user-defined virtual animation style from a preset user terminal, and the style includes a theme color matching scheme, an animation special effect template, and an interaction action logic; the augmented reality module generates corresponding style parameters according to the virtual animation style for adjusting the visual effect and dynamic rules of the virtual display elements.

[0021] In some embodiments, the simultaneous display of the virtual display elements corresponding to each charging interface includes: the augmented reality module assigns a unique spatial coordinate identifier to each charging interface and maps a virtual display area on the screen of the display device according to the physical layout of the socket body; each virtual display element includes a corresponding interface number label for distinguishing the charging status of each charging interface by different colors or icons.

[0022] In some embodiments, the charging control module integrates an intelligent adjustment algorithm for dynamically adjusting the charging strategy according to the charging status data. When it is detected that multiple charging interfaces are working simultaneously and the total power is greater than the rated power of the socket body, the charging power of each charging interface is automatically allocated through a load balancing algorithm; and / or, according to the user priority instruction sent by the display device, the charging of the charging interface corresponding to the user priority instruction is preferentially completed.

[0023] In some embodiments, the augmented reality module further includes: an environmental perception unit for obtaining the ambient light intensity and spatial depth data of the surrounding environment through the ambient light sensor or depth camera of the display device, adaptively adjusting the brightness, transparency, and stereoscopic projection angle of the virtual display elements to ensure the visual fusion effect between the virtual display elements and the real environment; and supporting the user to interact with the virtual display elements through gesture recognition to trigger a charging status details pop-up window or a quick operation function.

[0024] In some embodiments, the display device is communicatively connected to a preset smart home system, and is used for when the charging progress of any charging interface reaches a preset threshold, sending a reminder notification to the corresponding user terminal through the smart home system; and generating an electricity consumption statistical report according to the charging status data, predicting the remaining battery life of the charging device in combination with historical charging data, and generating corresponding charging suggestions.

[0025] The socket charging progress display system based on augmented reality assistance provided by the present application realizes the three-dimensional visualization and intelligent interaction of the charging status by integrating augmented reality (AR) technology and charging control strategies, and specifically includes the following core modules and functions:

[0026] The hardware architecture includes: Socket body: integrates at least one charging interface as a physical carrier. Charging control module: obtains the status data of the charging interface (charging progress, remaining time, charging power, etc.) in real time to provide a data basis for AR display. Augmented reality module: connected to the charging control module, generates virtual display elements such as 3D charging progress bar, status icon, scene animation based on the charging status data, supports dynamic adjustment of the color, length, dynamic effects of display elements (such as light and shadow effects that change with power), and is linked with charging strategies (such as load balancing). Display device: triggers the AR function by scanning the socket body with a camera, receives the virtual animation style preset by the user terminal (supports personalized interaction), and superimposes the virtual elements corresponding to each charging interface on the screen, supporting parallel visualization of multiple interface states.

[0027] By converting two-dimensional charging data into three-dimensional virtual elements and dynamically superimposing them with the real environment (the physical space where the socket is located), "spatial mapping" is achieved. It supports user-defined virtual animation styles, and virtual elements dynamically change with real-time charging data (such as power fluctuations) to enhance the immersive experience. The AR module not only displays the status, but also optimizes the charging strategy based on data feedback (such as adjusting the power distribution of each interface through load balancing), breaking the traditional separation of "display" and "control". Independent virtual elements of multiple charging interfaces are presented on the same screen at the same time to clearly distinguish the status of each device.

[0028] The system breaks through the two-dimensional plane display and integrates 3D virtual elements with the real environment to enhance the intuitiveness and immersion of information presentation. It realizes the spatial mapping of the charging status of multiple interfaces. Users can quickly locate and identify the real-time status of each interface through the AR interface, solving the problem of visual confusion in multi-device management. It supports users to customize virtual animation styles to meet personalized interaction needs; dynamic effects (color, length changes) reflect charging data in real time (such as the dynamic contraction of the progress bar when the remaining time is shortened), enhancing the efficiency of information transmission. Through the "display-control" linkage, the AR display effect is combined with the charging strategy (such as high-power equipment triggering warning animation and automatically adjusting load balancing), realizing the upgrade from "passive display" to "active optimization". It integrates charging data collection, AR content generation, and strategy adjustment to avoid the fragmentation problem of independent operation of modules in traditional solutions and improve the overall intelligence level of the system. The parallel display and management of multi-interface status improves the user's monitoring efficiency of the charging status of multiple devices and adapts to the needs of complex scenarios such as smart homes.

[0029] In summary, the system reconstructs the human-computer interaction mode of charging equipment through AR technology, achieves breakthroughs in visualization effects, interactive experience, and intelligent control, and meets the future intelligent and immersive user needs.

[0030] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0032] Figure 1 FIG. 9 is a schematic structural diagram of a first perspective of a socket charging progress display system based on augmented reality assistance provided by an embodiment of the present invention;

[0033] Figure 2 FIG. 13 is a schematic structural diagram of a second perspective of a socket charging progress display system based on augmented reality assistance provided by an embodiment of the present invention;

[0034] Figure 3 FIG. 17 is a schematic block diagram of the structure of a socket charging progress display system based on augmented reality assistance provided by an embodiment of the present invention.

[0035] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the drawings in the embodiments of this application. Obviously, the described embodiments are some, but not all, of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in this application belong to the scope of protection of this application.

[0037] The flowcharts shown in the drawings are only illustrative examples, and do not necessarily include all contents and operations / steps, nor do they necessarily need to be executed in the described order. For example, some operations / steps can also be decomposed, combined, or partially merged, so the actual execution order may change according to the actual situation.

[0038] It should be understood that in order to facilitate a clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the terms "first" and "second" do not limit the quantity and execution order, and the terms "first" and "second" do not necessarily mean different.

[0039] It should be understood that the terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. As used in the specification of this application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0040] It should also be understood that the term "and / or" used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0041] The following will describe in detail some embodiments of this application with reference to the accompanying drawings. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0042] With the popularization of smart devices, as an important carrier of power terminal devices, the functional and user experience requirements of charging sockets are increasing day by day. Traditional charging sockets only provide simple charging status prompts (such as charging, fully charged) through physical indicators (such as LEDs), and have the following significant defects:

[0043] 1. Single and unintuitive information display: Traditional sockets can only display basic states such as "charging / full", and cannot provide real-time feedback on refined data such as charging progress (such as percentage), remaining time, and charging power; even if some smart sockets display data through a mobile APP, users need to actively open the application to view it, with a high interaction cost and no intuitive association with the real scenario.

[0044] 2. Inefficient multi-interface management: When the socket has multiple charging interfaces, it is difficult to distinguish the charging status of each interface simultaneously in the traditional way, and users need to confirm the device connection situation one by one. Especially in the scenario of multi-device fast charging, there is a lack of visual load distribution and status monitoring means.

[0045] 3. Lack of personalization and immersion in the user experience: The existing display methods (such as screen lists, static icons) have fixed forms, cannot customize the display style according to user preferences (such as theme color matching, animation effects), and it is also difficult to improve the operation convenience through dynamic interactions (such as gesture control, scene integration).

[0046] 4. Insufficient environmental integration and interaction capabilities: The display effects of traditional display devices (such as mobile phone screens, built-in displays of sockets) are greatly affected by environmental light, and cannot be dynamically mapped to the spatial position of the real physical socket, resulting in users having difficulty quickly obtaining information in complex scenarios (such as multi-socket layouts, dim environments).

[0047] In the prior art, although there are a small number of charging devices that incorporate visualization technology (such as displaying charging data through an LCD screen), their essence is still two-dimensional plane display, which cannot be deeply integrated with the real environment, and the problems of spatial mapping and personalized interaction of multiple interface states have not been solved. In addition, the existing solutions do not combine augmented reality technology with charging control strategies, and cannot dynamically adjust the display effect according to real-time charging data (such as power, remaining time) and act on the charging strategy (such as load balancing), resulting in the separation of the "display" and "control" functions and making it difficult to meet the intelligent and immersive user requirements.

[0048] Therefore, there is an urgent need for a system to solve at least one of the above problems.

[0049] To solve the above problems, please refer to Figures 1 to 3 In an embodiment of the present application, there is provided a socket charging progress display system based on augmented reality assistance, including: a socket body, the socket body is provided with at least one charging interface; a charging control module, configured in the socket body, for obtaining charging status data of the charging interface, the charging status data including one or more of charging progress, remaining charging time, and charging power; an augmented reality module, configured in the socket body, electrically connected to the charging control module, for real-time capturing the charging status of the charging interface and generating corresponding virtual display elements based on the charging status data, the virtual display elements including at least one of a 3D charging progress bar, a charging status diagram, and a charging scenario animation; a display device, communicatively connected to the augmented reality module, the camera of the display device is used to scan the socket body to trigger the augmented reality module to work, and the corresponding screen of the display device is used to display the virtual display elements; wherein, the augmented reality module is further configured to control the color, length, and dynamic effect corresponding to the virtual display elements to change dynamically; the display device also obtains a virtual animation style sent by a preset user terminal and displays the charging progress according to the virtual animation style; the screen of the display device can simultaneously display the virtual display elements corresponding to each charging interface.

[0050] Specifically, the socket body includes at least one charging interface (such as USB-A, USB-C, Type-C, wireless charging area, etc.) and supports simultaneous charging of multiple devices. The interface layout can be designed as physically separated or integrated, providing a physical carrier for the spatial mapping of augmented reality (AR) technology.

[0051] The charging control module is used to collect the charging status data of each charging interface in real time, including charging progress (percentage), remaining time, charging power, device connection status, etc., and transmit it to the augmented reality module via wired (such as PCB circuit) or wireless (such as Bluetooth, Wi-Fi) means. It integrates current / voltage sensors, MCU (microcontroller unit) and communication modules, and supports dynamic monitoring of power distribution during charging (such as fast charging protocol identification, load balancing adjustment).

[0052] The augmented reality module is used to receive the status data of the charging control module and generate virtual display elements corresponding to the physical interface positions, including 3D charging progress bars, dynamic status icons (such as fast charging logos, full charge prompts), and scene-based animations (such as energy flow special effects, device connection feedback). It supports dynamic effect control, such as adjusting the progress bar color according to the charging power (red for high load, green for normal), changing the progress bar length according to the remaining time, and reflecting the charging efficiency through the animation speed. It has a built-in spatial positioning algorithm to accurately map the virtual elements to the interface positions of the physical sockets (such as floating the corresponding virtual progress bars above each interface), and supports parallel display and differentiation of multiple interfaces.

[0053] The corresponding interaction carriers of the display device include, but are not limited to, terminal devices with cameras and screens such as smartphones and AR glasses. Scanning the socket body through the camera (such as identifying preset marks, socket shape features) triggers the AR module to work and establishes the spatial coordinate mapping between the physical socket and the virtual display.

[0054] It displays the augmented reality content in real time and supports the same-screen rendering of virtual elements of multiple interfaces (such as presenting the physical picture of the socket on the screen and overlaying the 3D progress bars corresponding to each interface). It receives the personalized display styles preset by the user terminal (such as mobile phone APP), including theme color matching (cool tone / warm tone), animation special effects (gradual change / flicker), font styles, etc., to achieve customization of the display interface.

[0055] By using feature point matching based on computer vision (such as ORB algorithm) or marker recognition (such as QR code, special pattern), the position and orientation of the socket in the real scene are determined to ensure that the virtual elements are stably overlaid above the physical interfaces and are not affected by changes in the user's perspective.

[0056] The charging progress is displayed as a 3D circular / bar progress bar, and the percentage value is updated in real time; the remaining time is displayed through a countdown animation or dynamic text; the charging power is intuitively presented through color gradient (such as blue to orange indicating increasing power) or fluctuation special effects.

[0057] By assigning independent virtual identifiers (such as borders of different colors and shapes) to each charging interface, users can clearly distinguish the status of each interface through the display device (such as "Interface 1: Fast charging, 30 minutes remaining; Interface 2: Fully charged"), solving the problem of confusion in the status of multiple devices with traditional sockets.

[0058] The augmented reality module not only displays data but also receives control instructions input by users through the display device (such as adjusting the power of an interface by gesture sliding and triggering the load balancing mode by long pressing), reversely controlling the charging strategy to achieve a "display-interaction-control" closed loop.

[0059] On the socket side, a charging control module (including sensors and an MCU) and an augmented reality module (including a communication chip and a spatial positioning module) are integrated inside the socket body. The charging interface is connected to the sensor circuit to collect current and voltage data in real time. AR markers (such as invisible QR codes and geometric patterns) can be designed on the socket surface for easy identification and positioning by the camera of the display device.

[0060] On the display device side, a dedicated APP or a system application with AR function is installed, which establishes a connection with the socket through Bluetooth / Wi-Fi to obtain charging status data. When using it for the first time, the user scans the socket marker with the camera, and the APP automatically calibrates the spatial position of the virtual element and the physical interface (establishing a coordinate system mapping).

[0061] For charging status collection, the charging control module monitors the data of each interface in real time (such as sampling once every 500 ms), packages it into a data packet containing the interface ID and status parameters, and sends it to the augmented reality module.

[0062] AR content generation includes: the augmented reality module generates virtual elements corresponding to the interfaces according to the data. If the charging progress is 80%, a 3D blue progress bar with a length ratio of 80% is generated, and "80%" and the remaining time "20 minutes" are displayed at the top. If a fast charging protocol (such as PD, QC) is detected, a lightning icon is superimposed beside the progress bar, and the animation effect is accelerated. If the interface is not connected to a device, a gray transparent status icon is displayed, prompting "idle".

[0063] Users preset the display style through the mobile APP (such as selecting a "tech style" theme, the progress bar is blue gradient, and a particle dissipation animation is played when fully charged). The configuration information is transmitted to the display device through Bluetooth to drive the rendering of the AR interface. The virtual elements of all charging interfaces are synchronously displayed on the screen of the display device, arranged according to the physical layout (such as the left interface corresponding to the left virtual bar on the screen and the right interface corresponding to the right), and support zooming and rotating the viewing angle to view details.

[0064] The user can slide the virtual progress bar of a certain interface on the display device screen to adjust the charging power (such as reducing the power to avoid overload); long press to trigger the "energy saving mode" to automatically reduce the charging speed of non-priority devices. The display device automatically adjusts the brightness of virtual elements according to the ambient light (such as enhancing the luminous effect of the progress bar in a dim environment) to ensure that the information is clearly visible. In a multi-socket layout scenario, the user scans the area through the display device, and the system automatically identifies the location of each socket and generates a corresponding virtual panel to avoid confusion among multiple devices.

[0065] The system breaks through the single status display of traditional LED indicators, and uses AR technology to present multi-dimensional data such as charging progress (percentage), remaining time, power, etc. in real time, without actively opening the APP, and information acquisition is more intuitive and efficient. Each interface corresponds to an independent virtual display element, supporting the monitoring of multiple device status on the same screen. Users can quickly distinguish the charging progress and load conditions of each interface, which is especially suitable for load balancing management in multi-device fast charging scenarios.

[0066] The system supports custom theme colors and animation effects to meet users' personalized needs; dynamic gesture control reduces physical operations and improves convenience (such as adjusting charging power remotely). AR display is not affected by ambient lighting, and virtual elements are accurately mapped to the spatial position of physical sockets. Even in dim or complex layout scenes, users can quickly locate and obtain information.

[0067] Different from the traditional "pure display" or "pure control" solutions, this system uses the AR module to achieve two-way interaction between data visualization and charging strategy (such as dynamically adjusting load distribution according to power display), forming an intelligent closed loop. By introducing AR technology into charging equipment, a new interaction paradigm is provided for smart home scenarios, supporting deep integration with the whole-house smart system (such as voice assistants and scene linkage) in the future, and improving the level of intelligence in household electricity management.

[0068] The system reconstructs the human-computer interaction interface of the charging device through augmented reality technology, solving problems such as single information display of traditional sockets, inefficient multi-interface management, and lack of personalization. It realizes the deep integration of data visualization, interactive immersion, and intelligent control, and provides an innovative solution for upgrading the user experience of smart power terminals.

[0069] In some embodiments, obtaining the charging status data of the charging interface includes: collecting the charging current and voltage signals in real time through a current and voltage sensor arranged at the charging interface, generating the charging status data after analog-to-digital conversion and inputting it into the charging control module; and / or obtaining the charging status data fed back by the charging device through a communication protocol between the charging control module and the corresponding charging device.

[0070] The current and voltage sensor collects analog signals of current (unit: A) and voltage (unit: V) during the charging process by integrating a micro current and voltage sensor (such as a Hall sensor, a shunt resistor with an operational amplifier) at the input or output end of the circuit of the charging interface. The sensor is connected in parallel / series with the power line of the charging interface.

[0071] The collected analog signals are converted into digital signals by an analog-to-digital converter (ADC) and input into the MCU (microcontroller unit) of the charging control module. The MCU calculates the real-time charging power according to Ohm's law (power = voltage × current), and deduces the charging progress (percentage) and remaining time (such as: remaining capacity ÷ real-time power × 3600 seconds) in combination with parameters such as battery capacity.

[0072] The communication protocol obtains device feedback data. The charging control module supports mainstream charging protocols (such as QC, PD, Apple 2.4A) and establishes communication with the charging device (such as a mobile phone, a tablet) through protocol handshaking. For example, when the device supports the PD protocol, the charging control module sends a request command, and the device feedbacks data such as the current battery level (such as 85%) and the charging acceptance power (such as 18W). The data is transmitted to the charging control module through interfaces such as UART and I2C, and cross-verified with the data collected by the sensor to ensure the accuracy and integrity of the charging status data.

[0073] At the same time, data is obtained through hardware sensor collection and protocol communication, avoiding possible errors of a single data source (such as a decrease in accuracy caused by sensor aging), and ensuring the reliability of the charging status data. It can not only obtain underlying electrical parameters such as current and voltage, but also directly obtain high-level information such as the battery level percentage feedback by the device, providing a richer data basis for subsequent AR display (such as without relying on algorithms to estimate the remaining time).

[0074] In some embodiments, the charging status of the charging interface is captured in real time, and corresponding virtual display elements are generated based on the charging status data, including: the augmented reality module generates a 3D charging progress bar with a proportional mapping according to the charging progress data, and the length of the 3D charging progress bar is positively correlated with the charging percentage; generates a dynamic countdown icon according to the remaining charging time, and the length of the remaining time is characterized by the color gradient speed; generates a charging scene animation with a dynamic flowing light effect according to the charging power, and the flow rate of the light effect is positively correlated with the power magnitude.

[0075] The generation of the 3D charging progress bar presets a progress bar model (such as a cylinder or a cuboid) through the augmented reality module, and calculates the display ratio of the model according to the charging progress data (such as 60%). For example, for a 3D bar progress bar with a total length of 100px, when the current charging percentage is 60%, the actual rendered length is 60px, and the remaining 40px is a transparent or gray background. The progress bar uses a perspective projection algorithm to dynamically adjust the stereoscopic effect according to the viewing angle of the display device (such as when the user views from the side, the progress bar shows a 3D effect of near-big and far-small), enhancing the sense of spatial immersion.

[0076] The generation of the dynamic countdown icon converts the remaining time (such as 45 minutes) into a visual element, such as a circular countdown bar: the total ring length represents the expected total time, and the filled part dynamically shrinks as time decreases; or digital countdown text, and the urgency of the remaining time is reflected by the color gradient speed (such as when there are 10 minutes remaining, the color fades from blue to red, and the gradient frequency increases). The timeline interpolation algorithm is used to update the countdown status in real time (such as refreshing the remaining time value once per second).

[0077] The generation of the charging scene animation uses the charging power (such as 15W) as a parameter to generate a dynamic light effect animation: a flowing light beam is rendered between the charging interface and the device, and the flow rate of the light effect is positively correlated with the power (15W corresponds to a medium flow rate, and 25W corresponds to a high-speed flash). The light effect color can be preset to blue (normal charging), yellow (fast charging), and red (overload warning). The animation engine supports a particle system and dynamically adjusts the number and movement trajectory of particles according to power fluctuations (such as when the power is stable, the particles flow uniformly, and when the power fluctuates, the particles spread randomly).

[0078] By converting abstract charging parameters into intuitive visual elements (the progress bar corresponds to the percentage, the countdown corresponds to the time, and the light effect corresponds to the power), users do not need to understand complex data formulas and can quickly obtain key information through visual perception. Dynamic effects such as the flow rate of the light effect and color gradient reflect the changes in the charging state in real time (such as automatically triggering a high-speed light effect when switching to fast charging), forming an instant response of "data change - visual feedback" and enhancing the user's sense of control over the charging process.

[0079] In some embodiments, the scanning of the socket body to trigger the operation of the augmented reality module includes: an AR identification pattern for positioning is provided on the surface of the socket body, and the camera of the display device identifies the AR identification pattern through an image recognition algorithm or NFC sensing to obtain the spatial position and orientation information of the socket body, so as to trigger the augmented reality module to load corresponding virtual display elements; the AR identification pattern includes any one of a two-dimensional code, a feature graphic, and an NFC tag.

[0080] The AR identification pattern design and deployment support one of the following three forms by printing or embedding a dedicated AR identification pattern on the surface of the socket body: QR code: Generate a customized QR code containing the unique ID and layout information of the socket, printed on the edge of the socket (such as the bottom corner), and support quick identification by the camera. Feature pattern: Design a pattern with unique geometric features (such as symmetric polygons, black and white checkerboards), and identify the position and orientation of the pattern through corner detection algorithms (such as Harris corners). NFC tag: Integrate an NFC chip inside the socket to store the spatial coordinate information of the socket (such as the X / Y / Z axis offsets relative to the room coordinate system), and read the tag data through NFC induction when the display device is close.

[0081] After the AR identification is scanned by the camera of the display device, the spatial position (coordinate points in the world coordinate system) and orientation (rotation Euler angles) of the socket are obtained through image recognition algorithms (such as feature matching in OpenCV) or NFC data parsing.

[0082] The augmented reality module loads virtual display elements at the corresponding position on the screen of the display device according to the positioning data (such as rendering a progress bar 2 cm directly above the physical interface), ensuring the spatial alignment of the virtual elements with the physical interface.

[0083] Establish a coordinate mapping between the physical socket and the virtual display through the AR identification pattern, solve the positioning deviation problem caused by insufficient environmental features in traditional AR systems, and ensure that the virtual elements are stably "attached" above the charging interface, unaffected by the user's moving perspective. Support three triggering methods: QR code, feature pattern, and NFC, and be compatible with different display devices (for example, old mobile phones may not support NFC, but can be triggered by QR code recognition), improving the system compatibility and usability.

[0084] In some embodiments, controlling the color, length, and dynamic effects of the corresponding virtual display elements to change dynamically includes: when the charging progress is lower than the preset progress, the virtual display element is displayed in red, and the length of the 3D charging progress bar extends dynamically according to the real-time charging percentage; when the charging power exceeds the preset threshold, trigger a preset high-frequency dynamic light effect; when the remaining charging time is less than the preset duration, the virtual display element gradually changes to green and slows down.

[0085] The charging progress threshold triggers the color change by presetting the low progress threshold (such as 20%) and the high progress threshold (such as 80%): when the charging progress is less than 20%, the virtual display elements (such as the progress bar, icon) switch to red, prompting the user's device to charge urgently; when it exceeds 80%, it switches to green, indicating that it is about to be fully charged. The length of the progress bar uses a real-time interpolation algorithm, dynamically extending according to the current percentage (such as from 0% to 100%, the progress bar gradually fills from left to right), and the filling animation supports easing effects (the speed slows down at the beginning and end), improving visual fluency.

[0086] The charging power threshold triggers the change of light effect. By presetting the power overload threshold (such as 80% of the rated power of the socket), when the power of a single interface exceeds the threshold, a high-frequency dynamic light effect is triggered (such as the frequency of light beam flashing increases from 1 time / second to 3 times / second), accompanied by a color warning (such as from blue to orange). The light effect change logic is implemented through a state machine, and different power ranges correspond to different animation parameters (such as static light effect below 10W, low-speed flow from 10-20W, and high-speed flashing above 20W).

[0087] The remaining time threshold triggers gradient and deceleration. When the remaining time is less than the preset duration (such as 30 minutes), the virtual element starts color gradient (such as from yellow to green), and the animation flow rate is reduced by 30%, suggesting that the charging process has entered the final stage through visual changes. The gradient algorithm uses HSV color space interpolation to ensure a natural color transition; the flow rate adjustment is achieved by modifying the animation frame interval (such as the original frame interval is 50ms, which is adjusted to 70ms after deceleration).

[0088] Through multi-dimensional changes in color and dynamic effects, abstract threshold data is transformed into intuitive visual warnings (such as red for low battery and high-frequency flashing for high load), helping users quickly identify abnormal conditions and avoid overload or overcharging risks. Different parameters (progress, power, time) correspond to independent dynamic rules to form a hierarchical information display (basic status is distinguished by color, and emergency status is enhanced by high-frequency animation), improving the efficiency of information communication.

[0089] In some embodiments, obtaining a virtual animation style sent by a preset user terminal and displaying the charging progress according to the virtual animation style includes: the user terminal preset by the display device obtains a user-defined virtual animation style, and the style includes a theme color scheme, an animation special effects template, and an interactive action logic; the augmented reality module generates corresponding style parameters according to the virtual animation style, which are used to adjust the visual effects and dynamic rules of the virtual display elements.

[0090] The user terminal style configuration includes the user entering the style customization interface through the mobile phone APP or the Web interface, supporting the following configuration items: The theme color scheme includes selecting a preset theme (such as "Tech Blue", "Warm Orange Style") or customizing the RGB color value, and configuring the basic color tones of the progress bar, text, and light effects. The animation effect templates include selecting the progress bar filling animation (such as smooth gradient, pulse expansion), the light effect type (such as beam, particle flow), and the countdown animation (ring contraction, digital flip). The interactive action logic includes setting the gesture trigger function (such as double-clicking the progress bar to switch to the fast charging mode, swiping to adjust the power), and defining the feedback animation during interaction (such as the progress bar slightly scaling after clicking).

[0091] The style parameter generation and synchronization include that after the user configuration is completed, the terminal encodes the style data into the JSON format (including color values, animation types, interaction rules), and sends it to the display device via Bluetooth or Wi-Fi. The augmented reality module parses the style parameters and generates corresponding rendering instructions (such as "set the progress bar color to #00FFFF, and use the EaseInOutQuad function for the filling animation"), driving the virtual display elements to be rendered according to the user's preferences.

[0092] It allows users to customize the display style according to their aesthetic preferences and usage habits, breaks the limitations of the fixed interface of traditional devices, and enhances the user's sense of identity and pleasure in using the device. It supports customizing the gesture interaction function, enabling users to control the charging device through familiar operation methods (such as game players can set specific gestures to trigger extreme fast charging), enhancing the flexibility of human-computer interaction.

[0093] In some embodiments, the simultaneously displaying the virtual display elements corresponding to each charging interface includes: The augmented reality module assigns a unique spatial coordinate identifier to each charging interface, and maps the virtual display area on the screen of the display device according to the physical layout of the socket body at the actual position; each virtual display element includes a corresponding interface number label for distinguishing the charging status of each charging interface through different colors or icons.

[0094] The spatial coordinate identifier assignment is to assign a unique ID (such as USB1, USB2, Wireless Charger 1) to each charging interface through the augmented reality module, and record the relative position coordinates of each interface according to the socket physical layout (such as horizontal arrangement, circular distribution) (taking the center of the socket as the origin to establish a local coordinate system). When the display device scans the socket, it obtains the position of the socket in the world coordinate system through AR positioning, and converts the local coordinate system into the world coordinate system to ensure that the virtual elements of each interface are accurately mapped to the physical position.

[0095] The virtual display area mapping and differentiation include rendering a virtual interface on the screen of the display device according to the actual layout of the sockets: the horizontally arranged interfaces correspond to the virtual areas in the horizontal direction of the screen, and the circular interfaces correspond to the virtual areas distributed in a circular shape. Each virtual area is superimposed with a corresponding 3D progress bar and status icon. Visual identification is added to each interface: such as interface number labels ("1", "2"), different color borders (interface 1 is blue, interface 2 is green), and unique icons (the fast charging interface shows a lightning symbol, and the wireless charging interface shows a signal wave symbol), which is convenient for users to quickly distinguish.

[0096] Through spatial position mapping and visual identification, the system enables users to clearly view the charging status of all devices on the same screen interface without having to confirm each interface one by one (such as "Left interface 1: Red progress bar, remaining 1 hour; Right interface 2: Green, fully charged"), greatly improving the management efficiency of multiple interfaces. The layout of the virtual elements is exactly the same as that of the physical interfaces, which conforms to the user's spatial cognitive habits (the left interface corresponds to the left side of the screen display), reducing the cost of information understanding, and is especially suitable for scenarios with complex socket layouts (such as multi-hole socket strips, vertical sockets).

[0097] In some embodiments, the charging control module integrates an intelligent adjustment algorithm for dynamically adjusting the charging strategy according to the charging status data. When it is detected that multiple charging interfaces are working simultaneously and the total power is greater than the rated power of the socket body, the charging power of each charging interface is automatically allocated through a load balancing algorithm; and / or, according to the user priority instruction sent by the display device, the charging of the charging interface corresponding to the user priority instruction is preferentially completed.

[0098] The load balancing algorithm is implemented by the charging control module to continuously monitor the total power of all interfaces in real time. When the total power exceeds the rated power of the socket (such as 2500W), the load balancing algorithm is started: first, identify the devices that support the fast charging protocol (marked as high priority) and allocate no less than the minimum fast charging power (such as 18W); allocate the remaining power to ordinary devices according to the remaining power ratio (such as device A has 20% remaining, device B has 80% remaining, and more power is preferentially allocated to A); recalculate the power distribution every 10 seconds and dynamically adjust the output current of each interface (implemented through PWM adjustment technology).

[0099] The processing of user priority instructions includes the user setting priorities for specific interfaces through the display device (such as marking the mobile phone interface as "highest priority"). The priority instructions are combined with the charging status data (remaining time, power) to generate a customized charging strategy: when the total power is insufficient, the highest priority interface is forced to allocate no less than the preset guaranteed power (such as 20W), and the power of other interfaces is automatically reduced; support for scenario-based priority presets (such as in the "night charging" mode, all interfaces are automatically reduced to 5W for low-speed charging to reduce electromagnetic radiation).

[0100] Avoid the short - circuit risk caused by socket overload through the load - balancing algorithm, while ensuring that high - priority devices charge first, taking into account both safety and user needs (such as the mobile phone being fully charged first in case of emergency). Combining device protocol data (such as whether fast charging is supported) and user instructions, dynamic power distribution is achieved. Compared with the "one - size - fits - all" power limit of traditional sockets, the charging efficiency and device compatibility are greatly improved.

[0101] In some embodiments, the augmented reality module further includes: an environment perception unit, which is used to obtain the ambient light intensity and spatial depth data of the surrounding environment through the ambient light sensor or depth camera of the display device, and adaptively adjust the brightness, transparency, and stereoscopic projection angle of the virtual display element to ensure the visual fusion effect between the virtual display element and the real environment; and support the user to interact with the virtual display element through gesture recognition to trigger a charging status details pop - up window or a quick - operation function.

[0102] Environment perception and adaptive adjustment include: Ambient light intensity adaptation: Obtain the current light value (such as Lux value) through the ambient light sensor of the display device. When the light is lower than 200 Lux (dim environment), automatically increase the brightness of the virtual element by 50% and add a glowing stroke effect; when the light is higher than 800 Lux (strong light environment), reduce the transparency by 30% to avoid reflection interference. Spatial depth adaptation: Estimate the distance between the socket and the display device using a depth camera or a monocular vision algorithm, and dynamically adjust the projection ratio of the virtual element (such as the closer the distance, the larger the progress bar is rendered and the clearer the details are) to ensure the display effect is consistent from different perspectives.

[0103] The implementation of the gesture interaction function: The display device supports a gesture recognition algorithm (such as hand key - point detection based on OpenPose) to recognize the following operations: Swipe: Swipe left or right on the virtual element of a certain interface to adjust the charging power (swipe left to reduce 5W, swipe right to increase 5W); Long - press: Long - press the interface element to trigger a details pop - up window to display charging history data (such as today's charging duration, average power); Pinch: Pinch with two fingers to zoom in and out of the screen to switch between the global view of multiple interfaces and the close - up view of a single interface. When a gesture operation is triggered, the augmented reality module synchronously sends an instruction to the charging control module (such as "adjust the power of interface 1 to 15W") to achieve real - time linkage between interaction and control.

[0104] Automatically adjust the display parameters according to the ambient light and spatial distance to ensure that the virtual element is always clearly visible without manual setting by the user, improving the adaptability of the usage scenario (such as being able to be used normally at night in the bedroom or under strong outdoor light). The gesture operation conforms to ergonomic habits. Compared with traditional buttons or screen clicks, users can interact with the device through more intuitive actions (such as adjusting the power by swiping in the air), reducing the operation steps and improving the convenience.

[0105] In some embodiments, the display device is communicatively connected to a preset smart home system, and is configured to send a reminder notification to the corresponding user terminal through the smart home system when the charging progress of any charging interface reaches a preset threshold; and generate an electricity consumption statistical report based on the charging status data, predict the battery life corresponding to the charging device in combination with historical charging data, and generate corresponding charging suggestions.

[0106] The charging progress reminder notification includes the display device establishing communication with the smart home system (such as Mijia, HomeKit) through Wi-Fi, and presetting a charging progress reminder threshold (such as 80%, 100%). When the progress of a certain interface reaches the threshold, the smart home system performs the following operations: sending a push notification to the user's mobile phone (such as "The mobile phone has been charged 80%, it is recommended to unplug and plug it to protect the battery"); triggering the smart speaker to voice a reminder (such as "It is detected that the tablet is fully charged, please disconnect the charging in time"); triggering a scene linkage (such as automatically turning off the night light of the socket where the interface is located after the device is fully charged).

[0107] For electricity consumption statistics and charging suggestions, the charging control module records historical charging data (start time, end time, total power, device type of each charge), and uploads it to the cloud server to generate an electricity consumption statistical report (such as displaying the charging duration and total power consumption of each device daily / weekly / monthly). Combining the device battery capacity (obtained through the charging protocol) and the historical charging speed, predict the device's battery life (such as "At the current charging speed, the mobile phone can be used for 12 hours after being fully charged"), and generate charging suggestions (such as "It is recommended to start charging 2 hours before going to bed to avoid overcharging at night").

[0108] By linking with the smart home system, the charging device is incorporated into the home automation scenario (such as automatically performing other intelligent operations after charging is completed), improving the level of home intelligence and the convenience of life. Through historical data statistics and battery life prediction, scientific charging suggestions are provided for users to help optimize charging habits (such as avoiding overcharging to damage the battery), and at the same time, the awareness of energy management is enhanced through the electricity consumption report (such as identifying high-power-consuming devices).

[0109] In some embodiments, by integrating a behavior learning engine into the charging control module, charging data of the user is continuously recorded for more than 30 days, including: time features: the first charging time of each day (such as 7:30 on weekdays and 9:00 on weekends), charging duration (such as the average charging time of a mobile phone is 1.5 hours), and charging end trigger conditions (the ratio of manual plugging / unplugging to automatic power-off); device features: the historical charging priority selection of different devices (mobile phone / tablet / laptop), the usage frequency of the fast charging mode, and the charging response time after a low battery alarm; an LSTM time series model is used to train a user habit prediction model, which takes the current date (distinguishing weekdays / weekends), the remaining battery power of the device, and the user's calendar events (obtaining meeting and travel plans by synchronizing the mobile phone calendar) as inputs, and outputs the "expected full charge time" of each device for the next day (for example, if the user has a meeting at 9:00 am every Monday, the model predicts that the mobile phone needs to be fully charged before 8:30).

[0110] From 2 am to 5 am (low peak electricity consumption period), the model generates a charging plan according to the prediction results: for devices that support scheduled charging (such as electric vehicle chargers), calculate the required power and time in advance and start charging during the low electricity price period; for mobile devices such as mobile phones, if it is detected that the user has an early meeting the next day and the current battery power is less than 30%, then charge in stages at night: first fast charge to 80% (to avoid long-term full charge loss of the battery), and then slow charge to 100% after 6 am to ensure that the battery power is fresh when going out; the charging control module dynamically adjusts the charging status of each interface according to the plan through PWM power regulation technology and relay on / off control, and supports recalculating the plan when the user plugs or unplugs temporarily in the middle (for example, if the user gets up early, the model immediately increases the power of the remaining interfaces and replenishes 20% of the power within 15 minutes).

[0111] Upgrading from "passively responding to charging needs" to "actively predicting charging needs", the automatic scheduling of charging plans is realized through user habit modeling, avoiding the anxiety scenario of finding insufficient battery power in the morning, which is especially suitable for business users with strict time management. Double optimization of battery life and electricity cost: The staged charging strategy reduces the full charge holding time of the battery (laboratory data shows that it can extend the life of lithium batteries by 15%-20%), and charging during the low valley period reduces the electricity cost (it is estimated that the annual electricity cost of households can be reduced by 12%-18%).

[0112] In some embodiments, by integrating a micro-sensor array (independent of the display device) into the socket body: Temperature sensor: The NTC thermistor monitors the interface temperature in real time. When the temperature exceeds 60°C, a red warning border is triggered in the AR interface; Humidity sensor: The capacitive humidity module detects the ambient humidity. When the humidity is higher than 80%RH, a "moisture-proof warning" watermark is added to the virtual elements and the light effect transparency is reduced (simulating the effect of water mist occlusion); Human presence sensor: The infrared PIR sensor detects human activities within 3 meters. When the user approaches, the key information in the AR interface is automatically enlarged (the progress bar is thickened, and the countdown font size is increased by 20%). After leaving, the display returns to simplicity; The ambient light sensor and depth camera data of the display device are fused with the data of the sensors built into the socket through the Kalman filtering algorithm to generate an environmental state vector (temperature T, humidity H, light L, distance D, human presence P).

[0113] The dynamic interface decision-making based on fuzzy logic includes: establishing a fuzzy rule base and defining the display strategy under the coupling of multiple parameters: High temperature + high humidity scenario (T>55°C and H>75%RH): Forcefully turn off the dynamic light effect animation to reduce component heating. At the same time, a heat dissipation suggestion (such as "Please keep the socket ventilated") pops up in the AR interface; Nighttime + human approach scenario (L<50Lux and P = 1): The virtual elements enable the low blue light mode (the main color tone is switched to warm yellow), and the progress bar is added with a luminous stroke to avoid strong light stimulation; The environmental state vector is updated every 200ms, and the interface parameters (brightness, animation frequency, warning level) are adjusted in real time through the fuzzy inference engine, and the response delay is controlled within 100ms.

[0114] Breaking through the limitation that the traditional AR interface only relies on the sensors of the display device, the depth perception of the environmental state is realized through the sensors of the socket body, and good display effects and safety are still maintained in complex scenarios such as kitchens (high humidity) and computer rooms (multiple devices generating heat). The complex scenario processing ability based on fuzzy logic avoids incorrect responses caused by misjudgment of a single sensor (such as when only the temperature is high but the humidity is low, it is judged as normal heat dissipation rather than a fault, avoiding false alarms), and improves the robustness of the system.

[0115] In some embodiments, when the user uses it for the first time, preference data is collected through guided interaction: Visual style questionnaire: Select 3 favorite art styles (Cyberpunk / Minimalist Flat / Cartoon Hand-drawn), the main color tone preference (Cool Color System / Warm Color System), and the dynamic effect preference (Smooth / Sci-fi Blink / Ink Blending);

[0116] Device type label: Mark common charging devices (such as iPhone, Switch, electric toothbrush), and the system automatically associates the visual genes of the device brand (such as minimalist white + blue light effect recommended for Apple devices, neon flashing special effect recommended for gaming devices); Encode preference data into a 128-dimensional style vector and input it into the pre-trained StyleGAN3 generation model to generate exclusive virtual animation resources in real time (including progress bar models, light effect particle materials, font styles). The generation process supports real-time preview and adjustment by users (such as fine-tuning the light effect speed with a slider). Achieve intelligent skin switching by combining calendar events and geographical locations: Festival scene: When the Christmas date is detected, automatically generate snowflakes falling and overlay them on the charging light effect, and add red and green colored light strips to the edge of the progress bar; Geographical location awareness: When the user charges at a coffee shop, obtain the store style label (such as "industrial style", "ins style") according to GPS positioning, and automatically match virtual elements with a dark metal texture; The generated animation resources are stored in the local cache and support offline use. Each time you charge, call the corresponding skin configuration according to the real-time scene parameters (time, location, device).

[0117] Break through the preset template limitations through AIGC technology. In theory, tens of millions of different styles of virtual interfaces can be generated to meet the extreme pursuit of personalization by Generation Z users. It even supports users to directly generate corresponding animations by inputting text descriptions (such as "want a starry sky theme"). Festival skins and geographical location adaptation enhance the emotional resonance of the usage scenario (such as displaying local characteristic elements when charging at tourist attractions), transforming the functional interface into an interactive medium with emotional warmth.

[0118] In some embodiments, each charging device is abstracted as an agent, and the state space includes: the remaining battery charge of the device SoC, the battery health SOH, the user-set priority P, and the current charging power W; The action space is a power adjustment request (-5W, 0, +5W), and the reward function is designed as:

[0119] ; (α is the charging speed weight, β is the power balance weight, γ is the battery health weight, and the parameters are adjusted through user configuration).

[0120] The distributed reinforcement learning training process includes: the central server collects charging data of millions of devices, constructs a virtual charging environment, and trains a global policy model using the PPO (Proximal Policy Optimization) algorithm, which is updated every 7 days; the charging control module locally deploys a lightweight policy network, which receives the status information of each device in real time (obtains the SoC and SOH through the charging protocol), and generates a power allocation decision according to the global policy and local load conditions: when it detects that a laptop (high power demand) and a Bluetooth headset (low power demand) are charging simultaneously, the policy network gives priority to ensuring that the laptop reaches the minimum fast charging power (such as 60W), and the headset is allocated 5W trickle charging, while ensuring that the total power does not exceed the socket rating; it supports "power negotiation" between devices: when a device detects that its SOH is lower than 80% (battery aging), it automatically sends a power reduction request, and the policy network reallocates power to healthy devices to extend the life of aging devices.

[0121] The multi-device benefit maximization is achieved through a game theory model. Compared with traditional load balancing algorithms, the charging speed of high-priority devices can be increased by 20%-30% under the total power limit, and at the same time, the charging current fluctuation of aging devices is reduced by 40% (reducing battery loss). The distributed reinforcement learning architecture supports the system to continuously optimize the policy as the device type grows (such as newly emerging wireless charging devices will be automatically incorporated into the game model), without manual algorithm update, and adapts to future diverse charging scenarios.

[0122] In some embodiments, a three-dimensional thermal-electrical coupling simulation model of the socket is established using finite element simulation software (such as COMSOL Multiphysics). The input parameters include: physical parameters: copper sheet conductivity, plastic shell thermal conductivity, interface contact resistance (initial value 0.1mΩ, which increases with the number of pluggings and unpluggings); operating data: historical charging power curve, ambient temperature change record, number of interface pluggings and unpluggings (counted by an internal Hall sensor); the current and voltage data collected in real time (Embodiment 1) are used as the model input, and the model predicts the change trend of the interface temperature and contact resistance, and generates a "health index HI" (0-100, warning when it is lower than 60). Fault prediction and proactive maintenance: when the digital twin model predicts that the contact resistance of an interface will exceed the safety threshold (such as 0.5mΩ, which may cause poor contact and heating) in the next 24 hours, the system performs the following operations: the AR interface displays the virtual element edge of the interface flashing orange light, and a pop-up window prompts "Interface contact is abnormal, it is recommended to clean the dust"; the charging control module automatically reduces the charging power of the interface by 10% to reduce the risk of contact resistance heating; the maintenance work order is automatically synchronized to the smart home system, and after the user confirms, it triggers a door-to-door repair appointment (such as through the integrated property management API), and after the repair, a new initial value of the contact resistance is written through NFC to update the digital twin model.

[0123] Shift from "repair after failure" to "predictive maintenance". Through digital twin technology, latent faults such as interface aging and poor contact can be predicted 72 hours in advance, avoiding the risk of short - circuit fire caused by excessive contact resistance (it is statistically shown that the interface overheating faults can be reduced by 80%). Establish digital twin files for each socket, record the full - cycle health data from factory to scrapping, support property or enterprise - level users to manage charging devices in batches, and optimize the asset maintenance cost (it is estimated that the unplanned downtime loss can be reduced by 30%).

[0124] In some embodiments, by the user wearing consumer - grade EEG headsets (such as Muse, Emotiv), through P300 evoked potential or SSVEP steady - state visual evoked potential technology, establish EEG command mappings such as "view charging status" and "power adjustment": Gaze at the virtual element of a specific interface for 2 seconds to trigger the EEG signal of "view detailed charging data" (detection of the peak value of the P300 component); Imagine the "left / right" action, corresponding to reducing / increasing the power of the target interface (based on the classification of motor imagery EEG signals, using a CNN - LSTM hybrid model); The EEG signal is transmitted to the display device via Bluetooth, and after pre - processing (band - pass filtering, independent component analysis for denoising), it is input into the real - time intention recognition engine, and the response delay is controlled within 300 ms.

[0125] The interface dynamic focusing of attention perception includes combining eye - movement tracking data (if the display device supports) and the EEG attention concentration index (the decrease amplitude of α - wave power), and dynamically adjusting the priority of AR interface elements: When the user's attention is concentrated on a certain interface, the virtual element of this interface automatically magnifies by 1.5 times, and other elements become semi - transparent; When it is detected that the user's attention is scattered (the increase of α - wave power) for more than 10 seconds, non - critical information is automatically hidden (such as closing the pop - up window of historical data) to keep the interface simple.

[0126] The system provides a new interaction method for users with both hands busy (such as when cooking in the kitchen) or disabled people, enabling quick viewing and control of the charging status through EEG signals, and expanding the usage scenarios of the system. Optimization of attention economy: Based on EEG - based attention perception technology, the interface elements are dynamically adjusted according to the user's cognitive load, reducing information overload (it can be tested that the efficiency of obtaining key information can be increased by 35%), which conforms to the naturalization trend of future human - computer interaction.

[0127] The above - mentioned is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of various equivalent modifications or replacements, and these modifications or replacements should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. An augmented reality-assisted socket charging progress display system, characterized in that, Including: A socket body, which is provided with at least one charging interface; A charging control module, configured inside the socket body, for obtaining the charging status data of the charging interface, where the charging status data includes one or more of charging progress, remaining charging time, and charging power; An augmented reality module, configured inside the socket body, electrically connected to the charging control module, for real-time capturing the charging status of the charging interface and generating corresponding virtual display elements based on the charging status data, where the virtual display elements include at least one of a 3D charging progress bar, a charging status diagram, and a charging scenario animation; A display device, communicatively connected to the augmented reality module, where the camera of the display device is used to scan the socket body to trigger the augmented reality module to work, and the corresponding screen of the display device is used to display the virtual display elements; Wherein, the augmented reality module is further used to control the color, length, and dynamic effects of the corresponding virtual display elements to change dynamically; the display device also obtains the virtual animation style sent by a preset user terminal and displays the charging progress according to the virtual animation style; the screen of the display device can simultaneously display the virtual display elements corresponding to each charging interface.

2. The system according to claim 1, characterized in that The obtaining of the charging status data of the charging interface includes: Real-time collecting charging current and voltage signals through a current-voltage sensor disposed at the charging interface, and generating the charging status data after analog-to-digital conversion and inputting it into the charging control module; and / or, Obtaining the charging status data fed back by the charging device through the communication protocol between the charging control module and the corresponding charging device.

3. The system according to claim 1, wherein The real-time capturing of the charging status of the charging interface and generating corresponding virtual display elements based on the charging status data includes: The augmented reality module generates a proportionally mapped 3D charging progress bar according to the charging status data, and the length of the 3D charging progress bar is positively correlated with the charging percentage; Generating a dynamic countdown diagram according to the remaining charging time, and characterizing the length of the remaining time through the color gradient speed; generating a charging scenario animation with a dynamic flowing light effect according to the charging power, and the flow rate of the light effect is positively correlated with the power magnitude.

4. The system according to claim 1, wherein The scanning of the socket body to trigger the augmented reality module to work includes: An AR identification pattern for positioning is provided on the surface of the socket body, and the camera of the display device identifies the AR identification pattern through an image recognition algorithm or NFC induction to obtain the spatial position and orientation information of the socket body, so as to trigger the augmented reality module to load the corresponding virtual display elements; The AR identification pattern includes any one of a two-dimensional code, a feature graphic, and an NFC tag.

5. The system according to claim 1, characterized in that The controlling of the color, length, and dynamic effects of the corresponding virtual display elements to change dynamically includes: When the charging progress is lower than a preset progress, the virtual display elements are displayed in red, and the length of the 3D charging progress bar extends dynamically according to the real-time charging percentage; When the charging power exceeds a preset threshold, a preset high-frequency dynamic light effect is triggered; When the remaining charging time is less than the preset duration, the virtual display element gradually changes to green and slows down its flow.

6. The system according to claim 1, wherein The step of obtaining a virtual animation style sent by a preset user terminal and displaying the charging progress according to the virtual animation style includes: The display device obtains a user-defined virtual animation style from a preset user terminal, and the style includes a theme color scheme, an animation effect template, and an interaction action logic. The augmented reality module generates corresponding style parameters according to the virtual animation style, which are used to adjust the visual effect and dynamic rules of the virtual display element.

7. The system according to claim 1, wherein The step of simultaneously displaying the virtual display elements corresponding to each charging interface includes: The augmented reality module assigns a unique spatial coordinate identifier to each charging interface and maps a virtual display area on the screen of the display device according to the physical layout of the socket body at the actual position. Each virtual display element includes a corresponding interface number label, which is used to distinguish the charging status of each charging interface by different colors or icons.

8. The system according to claim 1, wherein The charging control module integrates an intelligent adjustment algorithm, which is used to dynamically adjust the charging strategy according to the charging status data. When it is detected that multiple charging interfaces are working simultaneously and the total power is greater than the rated power of the socket body, the charging power of each charging interface is automatically allocated through a load balancing algorithm; and / or, According to the user priority instruction sent by the display device, the charging of the charging interface corresponding to the user priority instruction is preferentially completed.

9. The system according to claim 1, wherein The augmented reality module further includes: An environment perception unit, which is used to obtain the surrounding environmental light intensity and spatial depth data through the ambient light sensor or depth camera of the display device, and adaptively adjust the brightness, transparency, and stereoscopic projection angle of the virtual display element to ensure the visual fusion effect between the virtual display element and the real environment; and supports the user to interact with the virtual display element through gesture recognition to trigger a charging status details pop-up window or a quick operation function.

10. The system according to claim 1, characterized in that, The display device is communicatively connected to a preset smart home system, which is used to send a reminder notification to the corresponding user terminal through the smart home system when the charging progress of any charging interface reaches a preset threshold; And generate an electricity consumption statistical report according to the charging status data, predict the remaining battery life corresponding to the charging device in combination with historical charging data, and generate corresponding charging suggestions.

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