Mobile equipment wireless desktop charging system based on fusion of large language model and target detection

Abstract

The invention discloses a mobile equipment wireless desktop charging system based on fusion of a large language model and target detection, and relates to a mobile equipment wireless desktop charging system, which uses Arduino Uno as a main controller, and accurately controls a charger driven by a stepping motor to perform precise movement and positioning through mobile phone position data transmitted in real time. In addition, a Web interface is designed, the desktop environment and the charging condition are displayed in real time, a user can remotely monitor and control the running state and position of the charger through the interface, and convenient remote management is achieved. A large-scale language model is introduced into the system, the system has the capacity of understanding and responding to natural language instructions, and interaction between a user and the large-scale language model is achieved. The system is suitable for families or public places, provides convenient mobile equipment charging, and meets the charging requirements of different user groups. According to the system, the charging efficiency is improved, and more convenient and more intelligent user experience is also brought.

Description

Technical Field

[0001] The invention relates to a mobile device charging system, in particular to a mobile device wireless desktop charging system based on the fusion of a large language model and target detection. Background Art

[0002] With the rapid development of science and technology and the improvement of people's living standards, mobile devices such as smartphones and tablets have become an important part of people's daily lives. People's demand for intelligence and convenience is also rising. As a result, the demand for charging these devices is also growing. The traditional wired charging method can no longer meet people's demand for intelligence and convenience. It not only has various inconveniences, such as the need to find a charging cable and the mismatch of charging ports, but also lacks interaction with users and intelligent management; the traditional wired charging method not only has various inconveniences, such as the need to find a charging cable and the mismatch of charging ports, but also lacks interaction with users and intelligent management.

[0003] Therefore, people's demand for charging devices is no longer just a simple charging function, but also hopes to achieve seamless connection with smart home systems and a more intelligent charging experience. In this context, wireless charging technology came into being, and the smart charging desktop is an important application of wireless charging technology. The smart charging desktop integrating large language model technology aims to provide users with more intelligent and convenient charging services. Summary of the invention

[0004] The purpose of the present invention is to provide a mobile device wireless desktop charging system based on the fusion of large language model and target detection. The system uses Arduino Uno as the main controller, and accurately controls the charger driven by the stepper motor for precise movement and positioning through the real-time transmission of mobile phone location data. This system introduces a large-scale language model, and the system has the ability to understand and respond to natural language instructions, realizing the interaction between users and large language models. The present invention is suitable for home or public places, providing convenient mobile device charging and meeting the charging needs of different user groups.

[0005] The objective of the present invention is achieved through the following technical solutions: A mobile device wireless desktop charging system based on the fusion of a large language model and target detection, the system comprising a core controller Arduino uno series single chip microcomputer, Horizon RDK-X3, mipi camera, stepper motor, adjustable voltage power adapter, Pfede stepper motor driver, acrylic board, pulley bracket, and Web page display terminal; The system uses wireless charging technology to charge the phone without being restrained, and can communicate with the large language model at any time; its Horizon RDK-X3 transplants the yolov5 v2.0 target detection algorithm to detect whether there is a mobile phone on the desktop, and calls the large model API to interact with the large model; Arduino uno, real-time control of the motor, receiving information transmitted by the host computer, and controlling the wireless charger to move to the mobile phone position to charge the mobile phone; the stepper motor, through the synchronous belt transmission system to achieve precise control of the pulley bracket in the XY axis direction; the adjustable voltage power adapter, using a 3V-24V / 5A adjustable voltage power adapter to power the stepper motor; the Pufede stepper motor driver, to achieve high-precision motion control, through advanced pulse subdivision technology and efficient current control algorithm, to perform extremely precise position and speed control on the two-phase stepper motor; the web page display end, to achieve accurate display of the camera's read information on the web end, convenient for remote viewing of desktop conditions and desktop information; the trained mobile phone model is converted through the YOLOv5 model, so that its operator supports BPU, giving full play to the hardware performance of the board end; the main controller receives the mobile phone information detected by the horizon RDK-X3, and sends the position coordinates of the mobile phone on the desktop to the main controller Arduino uno through serial communication. After receiving the position information, the main controller controls the motor movement through a pulse signal, and drives the wireless charger to the mobile phone position through the synchronous belt. At the same time, the movement process of the wireless charger can be viewed in real time on the web end.

[0006] The mobile device wireless desktop charging system based on the fusion of large language model and target detection, the pulley bracket and European standard aluminum profile track are used to provide stable and accurate linear motion guide rails; the tensioner ensures that the synchronous belt maintains appropriate preload to prevent slipping during transmission; the pulley bracket adopts XY axis linkage control through steel pipes. Each steel pipe corresponds to the X-axis and Y-axis directions respectively, and the connection between them adopts specially designed 3D printed steel pipe connectors.

[0007] The mobile device wireless desktop charging system based on the fusion of large language model and target detection, the yolov5 v2.0 target detection algorithm of the Horizon RDK-X3, completes the judgment of whether there is a mobile phone on the desktop based on the video stream of the camera, and sends the corresponding coordinate data to the Arduino uno main controller through the UART serial port.

[0008] The wireless desktop charging system for mobile devices based on the fusion of large language model and target detection, the stepper motor moves by driving the overall structure of the synchronous belt, and is divided into an x-axis and a y-axis, to achieve precise control of the pulley bracket in the XY axis direction.

[0009] The wireless desktop charging system for mobile devices based on the fusion of large language model and target detection, and the Pufeid stepper motor driver are used for precise positioning and stable operation.

[0010] The mobile device wireless desktop charging system based on the fusion of large language model and target detection, the Web end displays the page, collects data through the camera to view the desktop situation in real time, and performs image segmentation and extraction operations.

[0011] The mobile device wireless desktop charging system based on the fusion of large language model and target detection, the call of the large model, after accessing the large model API, realizes dialogue interaction with the large model and can control the wireless charger through voice to move it to any position on the desktop.

[0012] The wireless desktop charging system for mobile devices based on the fusion of large language model and target detection, the controller adopts Arduino uno with ATmega328 as the core, which is responsible for integrating the mobile phone model detected by Horizon RDK-X3, and after internal analysis and processing, transmits the mobile phone location information to Arduino uno through UART to achieve precise control of the motor; at the same time, the video information is displayed on the Web platform for users to view the desktop environment status in real time, and can issue control commands to the lower computer through the large language model BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention. DETAILED DESCRIPTION

[0014] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments: The wireless desktop charging system for mobile devices based on the fusion of large language model and target detection allows the mobile phone to be charged without being restrained through wireless charging technology, and can communicate with the large language model at any time. It includes the core controller Arduino uno series microcontroller, Horizon RDK-X3, mipi camera, stepper motor, adjustable voltage power adapter, Pfeiffer stepper motor driver, acrylic board, pulley bracket, and Web page display terminal, including: The Horizon RDK-X3 transplants the yolov5 v2.0 target detection algorithm to detect whether there is a mobile phone on the desktop, and calls the big model API to interact with the big model; The Arduino uno controls the motor in real time, receives information transmitted by the host computer, and controls the wireless charger to move to the position of the mobile phone to charge the mobile phone; The stepper motor realizes precise control of the pulley bracket in the XY axis direction through a synchronous belt transmission system; The adjustable voltage power adapter adopts a 3V-24V / 5A adjustable voltage power adapter to power the stepper motor; The PFEID stepper motor driver achieves high-precision motion control, and uses advanced pulse subdivision technology and efficient current control algorithms to perform extremely precise position and speed control on two-phase stepper motors. The pulley bracket and the overall structure of the system include European standard aluminum profile rails, which are used to provide stable and precise linear motion guides; the tensioner ensures that the synchronous belt maintains appropriate preload to prevent slipping during transmission.

[0015] The web page display terminal realizes accurate display of the camera reading information on the web terminal, making it convenient to view the desktop status and desktop information remotely.

[0016] The trained mobile phone model is converted through the YOLOv5 model to make its operator support BPU and give full play to the hardware performance of the board. The main controller receives the mobile phone information detected by the Horizon RDK-X3, and sends the location coordinates of the mobile phone on the desktop to the main controller Arduino uno through serial communication. After receiving the location information, the main controller controls the motor movement through the pulse signal, and drives the wireless charger to the location of the mobile phone through the synchronous belt. At the same time, the movement process of the wireless charger can be viewed in real time on the web.

[0017] As shown in the figure, the present invention uses the YOLOv5 target detection algorithm as the core recognition technology, which is known for its excellent real-time performance and accuracy. By deploying YOLOv5 in the system, the specific location information of the mobile phone on the wireless charging desktop can be accurately captured and determined. Once the location of the mobile phone is successfully identified, the system will immediately send the coordinate data to the lower computer controller. After receiving the instruction, the latter intelligently drives the wireless charger to perform precise movement operations to ensure that it can accurately align the mobile phone for efficient charging.

[0018] In addition to the above functions, a web terminal is also designed for real-time monitoring of desktop information and charging status. This web terminal can not only display real-time video streaming and mobile phone location information, but also provide real-time display of the desktop mobile phone location and the current location of the charger detected by Horizon RDK-X3 and YOLOv5, and provide a user-friendly interface that allows users to view the desktop environment status, charging progress and system operation logs. The front-end development of the web terminal uses technologies such as HTML, CSS and JavaScript to build the user interface to achieve dynamic data display and user interaction functions. The back-end server technology Node.js is used to process data exchange from the user interface.

[0019] In order to further improve the system's intelligence and user experience, the most popular large-scale language model technology is integrated. This powerful natural language processing tool not only enables the system to understand and respond to user voice commands, enabling convenient and efficient voice dialogue interaction, but also can answer various technical questions and provide strong support for daily use scenarios.

[0020] In addition, considering that the wireless charging function for a single mobile phone is somewhat limited, we try to use the large language model to expand the functional boundaries of wireless chargers. Users are no longer limited to manually placing or relying on the positioning system to charge their phones, but can communicate with the system in natural language and issue commands such as "move the charger to XX", thus achieving the real meaning of "say what you want, do what you want".

[0021] The above is a detailed introduction to the technology of the present invention, and the hardware working principle and implementation method of the system are described. This description is only used to help understand the core idea of ​​the technology of the present invention. In summary, the content of this specification should not be understood as limiting the technology of the present invention.

Claims

1. A wireless desktop charging system for mobile devices based on the fusion of large language model and target detection, characterized in that: The system includes a core controller Arduino uno series single chip microcomputer, Horizon RDK-X3, mipi camera, stepper motor, adjustable voltage power adapter, Pfede stepper motor driver, acrylic board, pulley bracket, and Web page display terminal; The system uses wireless charging technology to charge the phone without being restrained, and can communicate with the large language model at any time; its Horizon RDK-X3 transplants the yolov5 v2.0 target detection algorithm to detect whether there is a mobile phone on the desktop, and calls the large model API to interact with the large model; Arduino uno, real-time control of the motor, receiving information transmitted by the host computer, and controlling the wireless charger to move to the mobile phone position to charge the mobile phone; the stepper motor, through the synchronous belt transmission system to achieve precise control of the pulley bracket in the XY axis direction; the adjustable voltage power adapter, using a 3V-24V / 5A adjustable voltage power adapter to power the stepper motor; the Pufede stepper motor driver, to achieve high-precision motion control, through advanced pulse subdivision technology and efficient current control algorithm, to perform extremely precise position and speed control on the two-phase stepper motor; the web page display end, to achieve accurate display of the camera's read information on the web end, convenient for remote viewing of desktop conditions and desktop information; the trained mobile phone model is converted through the YOLOv5 model, so that its operator supports BPU, giving full play to the hardware performance of the board end; the main controller receives the mobile phone information detected by the horizon RDK-X3, and sends the position coordinates of the mobile phone on the desktop to the main controller Arduino uno through serial communication. After receiving the position information, the main controller controls the motor movement through a pulse signal, and drives the wireless charger to the mobile phone position through the synchronous belt. At the same time, the movement process of the wireless charger can be viewed in real time on the web end.

2. The mobile device wireless desktop charging system based on large language model and target detection fusion according to claim 1 is characterized in that: The pulley bracket and European standard aluminum profile rail are used to provide stable and precise linear motion guides; the tensioner ensures that the synchronous belt maintains appropriate preload to prevent slipping during transmission; the pulley bracket uses steel pipes for XY axis linkage control. Each steel pipe corresponds to the X-axis and Y-axis directions respectively, and the connection between them uses specially designed 3D printed steel pipe connectors.

3. The mobile device wireless desktop charging system based on large language model and target detection fusion according to claim 1 is characterized in that: The Yolov5 v2.0 target detection algorithm of the Horizon RDK-X3 can determine whether there is a mobile phone on the desktop based on the video stream of the camera, and send the corresponding coordinate data to the Arduino uno main controller through the UART serial port.

4. The mobile device wireless desktop charging system based on large language model and target detection fusion according to claim 1 is characterized in that: The stepper motor moves by driving the overall structure of the synchronous belt, and is divided into an x-axis and a y-axis, so as to achieve precise control of the pulley bracket in the XY axis direction.

5. The mobile device wireless desktop charging system based on large language model and target detection fusion according to claim 1 is characterized in that: The PFEID stepper motor driver is used for precise positioning and stable operation.

6. The mobile device wireless desktop charging system based on large language model and target detection fusion according to claim 1 is characterized in that: The web-side display page collects data through the camera to view the desktop situation in real time, and performs image segmentation and extraction operations.

7. The mobile device wireless desktop charging system based on large language model and target detection fusion according to claim 1 is characterized in that: The call of the large model, after accessing the large model API, realizes the dialogue interaction with the large model and can control the wireless charger through voice to move it to any position on the desktop.

8. The mobile device wireless desktop charging system based on large language model and target detection fusion according to claim 1 is characterized in that: The controller uses an Arduino uno with ATmega328 as the core, which is responsible for integrating the mobile phone model detected by the Horizon RDK-X3. After internal analysis and processing, the mobile phone location information is transmitted to the Arduino uno through UART to achieve precise control of the motor; at the same time, the video information is displayed on the Web platform so that users can view the desktop environment status in real time, and can issue control commands to the lower computer through the large language model.

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