Self-generating AI learning sharing machine

Abstract

The invention discloses a self-power-generation AI learning sharing machine which specifically comprises a display assembly, a power generation assembly and a power storage assembly. The display assembly comprises a shell, a display screen and keys, the display screen is arranged on the shell and used for displaying learning content or interaction information, and the keys are rotationally installed on the shell and used for selecting different functions and driving the power generation assembly to work; the power generation assembly comprises a magnet and a coil, the output end of the coil is electrically connected with the power storage assembly, and the power storage assembly is used for storing induced current and supplying power to the whole machine. According to the AI learning sharing machine, the power generation assembly linked with the keys is arranged in the AI learning sharing machine, when a user rotates the keys, the keys drive the magnets coaxially connected with the keys to rotate, and the magnets form magnetic line cutting in the relatively fixed coils in the shell, so that induced current is generated to continuously supply power to the display screen and the voice interaction system; and self power generation can be realized, so that the portability and environmental adaptability of the equipment are enhanced.

Description

Technical Field

[0001] This invention relates to the field of visual voice interaction device technology, specifically to an AI learning machine that can generate its own power. Background Technology

[0002] With the rapid development of artificial intelligence technology, AI-powered intelligent interactive devices are increasingly being used in education, office work, and daily life. The AI ​​Learning Machine, a portable intelligent interactive terminal integrating voice recognition, image recognition, intelligent question answering, and learning assistance, provides users with anytime, anywhere learning and work support through voice interaction, visual recognition, and intelligent feedback. These devices are small in size, versatile in function, and widely used in various scenarios such as student tutoring, workplace information retrieval, and language communication.

[0003] However, existing AI-powered interactive devices generally rely on built-in batteries for power, requiring external power sources or chargers for charging. Under frequent use or prolonged outdoor use, the device's battery can easily run out, and external power supply conditions are often unavailable in a timely manner. For example, in environments such as outdoor teaching, field research, or business trips, users cannot easily recharge, causing the device to malfunction. This not only affects the continuous user experience of AI devices but also reduces users' learning and work efficiency.

[0004] Currently, some portable devices have attempted to extend their battery life by connecting to external power banks or solar panels. However, such solutions often rely on additional accessories, which not only increases the burden of carrying them but also suffers from problems such as low energy conversion efficiency and susceptibility to environmental conditions, making it difficult to achieve true portable self-generation and instant power supply functions.

[0005] Therefore, how to introduce a structural design into AI intelligent interactive devices that can generate its own power through manual operation, so that the devices can maintain basic functions without external power, has become a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0006] The purpose of this invention is to provide a self-powered AI learning machine to solve the technical problem that existing AI intelligent interactive devices rely on external power supply and cannot achieve self-powering and continuous power supply in the absence of power.

[0007] To achieve this objective, the present invention adopts the following technical solution: A self-generating AI learning machine includes a display component, a power generation component, and a power storage component. The display component includes a housing, a display screen, and buttons. The display screen is disposed on the housing and is used to display learning content or interactive information. The buttons are rotatably mounted on the housing and are used to select different functions and drive the power generation component. The power generation component includes a magnet and a coil, which are disposed inside the housing. The magnet is coaxially connected to the buttons and rotates with the buttons, causing the coil to cut the magnetic lines of force generated by the magnet to generate an induced current. The output terminal of the coil is electrically connected to the power storage component, which stores the induced current and supplies power to the display component.

[0008] Optionally, the AI ​​Learning Machine also includes a speed measuring component and a control system. The speed measuring component is used to monitor the rotation speed of the button and transmit the data to the control system. The control system receives the data information and calculates the power generation current value of the power generation component based on the acquired data information, and feeds back the power generation current value data to the display screen.

[0009] Optionally, the speed measuring component includes an extension, a sliding part, a magnetic drive part, a reset part, and a counting part. The extension is fixed to the circumferential edge of the button. A mounting groove is provided inside the housing. The sliding part is slidably installed in the mounting groove, which has a first position and a second position. The magnetic drive part includes a first magnet and a second magnet. The first magnet is located on the side of the extension near the sliding part, and the second magnet is located on the side of the sliding part near the extension. The first magnet and the second magnet have the same magnetism. When the extension rotates to face the sliding part, the sliding part moves from the first position to the second position under the action of magnetic repulsion. The reset part is used to provide a reset force for the sliding part to return from the second position to the first position. The counting part is used to detect and record the number of times the sliding part reciprocates between the first position and the second position, and transmits the counting signal to the control system.

[0010] Optionally, the counting unit includes a light emitting unit, a light receiving unit, and a counting unit. When the sliding part is in the first position, it blocks the light emitting unit and the light receiving unit to block the light path. When the sliding part is in the second position, the light receiving unit receives light waves and generates electrical signals. The counting unit completes the counting by counting the number of times electrical signals are generated.

[0011] Optionally, the mounting groove is arranged vertically, with the first position located vertically below the second position.

[0012] Optionally, a first guide groove is provided on both sides of the mounting groove, the first guide groove is arranged in a vertical direction, and a first rolling element is rotatably installed on both sides of the sliding part, the first rolling element rolls along the first guide groove.

[0013] Optionally, the housing is further provided with a mounting base, the top surface of the mounting base is provided with a second guide groove, the second guide groove is an annular groove, the bottom surface of the extension is provided with a guide block, and the guide block slides along the second guide groove.

[0014] Optionally, a second rolling element is rotatably mounted in the second guide groove, and the second rolling element makes rolling contact with the guide block.

[0015] Optionally, the AI ​​Learning Machine also includes a light-emitting unit, which is electrically connected to the output terminal of the power generation component. The faster the button rotation speed, the greater the induced current generated by the power generation component, and the brighter the light-emitting unit. The slower the button rotation speed, the smaller the induced current generated by the power generation component, and the weaker the light-emitting unit.

[0016] Optionally, the top surface of the button is recessed with an arc-shaped groove, which is used to increase the contact area between the user's fingertip and the button.

[0017] Compared with the prior art, the present invention has the following beneficial effects: This invention enables the AI ​​learning machine to generate its own electricity during use by incorporating a power generation component linked to the buttons within the device. Specifically, when the user rotates a button, the button causes a magnet coaxially connected to it to rotate. The magnet forms magnetic lines of force within a coil fixed in the casing, generating an induced current. This induced current is transmitted via a circuit to a storage component, which then continuously powers the display screen and voice interaction system. This structural design allows the device to convert and store energy simultaneously during normal interactive operation, improving energy efficiency and avoiding reliance on external power sources or portable batteries, unlike traditional devices. Compared to existing AI learning machines that require external power or charging, this solution reduces the burden of carrying and using the device and allows it to operate continuously in environments without external power, enhancing its portability and environmental adaptability. Furthermore, this solution utilizes electromagnetic induction for energy conversion, offering advantages such as stable energy conversion, simple and reliable structure, and low maintenance costs. It ensures a smooth learning experience while improving energy efficiency and emergency availability. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] The structures, proportions, sizes, etc., shown in the accompanying drawings of this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed in the specification, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0020] Figure 1 This is a schematic diagram of the overall structure of the AI ​​Learning Machine provided in an embodiment of the present invention; Figure 2 This is a schematic cross-sectional view of the AI ​​Learning Machine provided in an embodiment of the present invention; Figure 3 A cross-sectional view of the sliding portion located at a first position, provided in an embodiment of the present invention; Figure 4 for Figure 3 Enlarged view of point A in the middle; Figure 5 A cross-sectional view of the sliding portion located at the second position, provided in an embodiment of the present invention; Figure 6 for Figure 5 Enlarged view of point B in the middle.

[0021] Illustrations: 10. Display component; 11. Housing; 110. Mounting slot; 111. First guide slot; 112. Mounting base; 113. Second guide slot; 114. Second rolling element; 12. Display screen; 13. Button; 131. Arc groove; 20. Power generation component; 21. Magnet; 22. Coil; 30. Energy storage component; 40. Speed ​​measuring component; 41. Extension; 411. Guide block; 42. Sliding part; 421. First rolling element; 43. Magnetic drive part; 431. First magnet; 432. Second magnet; 44. Reset part; 45. Counting part; 451. Light emitting unit; 452. Light receiving unit; 50. Light emitting unit. Detailed Implementation

[0022] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0023] In the description of this invention, it should be understood that the terms "upper," "lower," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. It should be noted that when a component is considered to be "connected" to another component, it can be directly connected to the other component or there may be a component positioned centrally in the connection.

[0024] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0025] Figure 1 This is a schematic diagram of the overall structure of the AI ​​Learning Machine provided in an embodiment of the present invention; Figure 2 This is a schematic cross-sectional view of the AI ​​Learning Machine provided in an embodiment of the present invention; Figure 3 A cross-sectional view of the sliding portion located at a first position, provided in an embodiment of the present invention; Figure 4 for Figure 3 Enlarged view of point A in the middle; Figure 5 A cross-sectional view of the sliding portion located at the second position, provided in an embodiment of the present invention; Figure 6 for Figure 5 Enlarged view of point B in the middle.

[0026] This embodiment provides a self-powered AI learning machine, which can be applied to learning and interaction scenarios where there is no external power source or the power supply is limited. This embodiment improves the structure of the AI ​​learning machine, enhancing the portability and environmental adaptability of the device, and enabling autonomous learning and emergency use anytime and anywhere.

[0027] Please see Figures 1-6The self-generating AI learning machine provided in this embodiment includes a display component 10, a power generation component 20, and a power storage component 30. The display component 10 includes a housing 11, a display screen 12, and a button 13. The display screen 12 is disposed on the housing 11 and is used to display learning content or interactive information. The button 13 is rotatably mounted on the housing 11 and is used to select different functions and drive the power generation component 20 to work. The power generation component 20 includes a magnet 21 and a coil 22. The magnet 21 and the coil 22 are disposed inside the housing 11. The magnet 21 is coaxially connected to the button 13 and rotates with the button 13, so that the coil 22 relatively cuts the magnetic lines of force generated by the magnet 21 to generate an induced current. The output end of the coil 22 is electrically connected to the power storage component 30, which is used to store the induced current and supply power to the display component 10.

[0028] Specifically, the housing 11 serves as the overall support and mounting base, and can be made of lightweight, high-strength materials such as ABS engineering plastic, aluminum alloy, or polycarbonate. It is used to fix the display screen 12, buttons 13, and internal electronic units. The display screen 12 is mounted on the front of the housing 11 and can be either an LCD or an OLED display, used to display learning content, voice prompts, or interactive interface information. The buttons 13 are rotatably mounted on the outer surface of the housing 11, and their outer ring can be designed with an anti-slip rubber layer or silicone coating for easy user operation. The buttons 13 are rotatably connected to the housing 11 via a rotating shaft and are coaxially fixed to the magnet 21 of the power generation component 20. Thus, when the user rotates the buttons 13 to select a function, the magnet 21 rotates synchronously, achieving simultaneous human-computer interaction and power generation.

[0029] Magnet 21 can be made of rare-earth permanent magnets (such as neodymium iron boron magnets) or ferrite magnets, which have high magnetic field strength and good stability, making them suitable for achieving efficient magnetic field changes in a small space. Coil 22 is located inside the housing 11 near magnet 21. It can be a multi-turn inductor coil 22 made of copper wire, connected to the inner wall of housing 11 via a fixed bracket, keeping it relatively stationary when magnet 21 rotates. Due to the relative motion between magnet 21 and coil 22, an induced current is generated in coil 22, converting mechanical energy into electrical energy. To improve power generation efficiency, the polarity distribution of magnet 21 can be designed as a multi-pole arrangement, increasing the frequency of magnetic field changes and enhancing the current output intensity. The output terminal of coil 22 is electrically connected to energy storage component 30 via wires. These wires can be integrated via a circuit board, which can be equipped with rectifier and voltage regulator modules to convert the AC induced current into DC current and stabilize the output.

[0030] The energy storage component 30 is used to store and manage the induced current generated by the power generation component 20. It can be a rechargeable battery or a supercapacitor. In specific implementations, the rechargeable battery can be a lithium-ion battery or a nickel-metal hydride battery, with its capacity designed to match the device's power consumption. The supercapacitor is used for short-term high-power output scenarios to ensure stable operation of the device during high-energy-consumption moments. The energy storage component 30 is connected to the display component 10 through a voltage regulated output circuit, providing a stable power supply to the display screen 12 and the voice interaction unit. When the user repeatedly operates the button 13, the energy storage component 30 can accumulate stored energy, thus maintaining the normal operation of the device even without continuous operation, achieving continuous output of short-term self-powered power. Through this structural layout, the device realizes energy recovery and utilization during user interaction, making the power generation and energy storage process naturally integrated into the user behavior, improving energy conversion efficiency.

[0031] Display component 10 also includes a camera, a microphone, and a speaker. The camera is positioned above the display screen 12 and is used to capture learning scene or user image information; a high-definition CMOS camera module can be selected. The microphone and speaker are used for sound acquisition and voice output, respectively. The microphone can be a MEMS capacitive structure, featuring high sensitivity and good noise resistance. The speaker can be a miniature dynamic speaker to ensure clear and natural voice output. The above audio and video modules, in conjunction with the AI ​​interactive program, can realize functions such as voice recognition, contextual dialogue, and video learning.

[0032] Furthermore, the AI ​​Learning Machine also includes a speed measuring component 40 and a control system. The speed measuring component 40 monitors the rotational speed of button 13 and transmits the data to the control system. The control system receives the data and calculates the power generation current value of the power generation component 20 based on the acquired data, and feeds back the power generation current value data to the display screen 12. Specifically, the speed measuring component 40 can adopt a Hall sensor, photoelectric encoder, or magnetoresistive sensor structure. Among them, the Hall sensor outputs the rotational speed signal by detecting the change in the magnetic field generated by the rotation of magnet 21, and has the characteristics of small size, fast response, and low power consumption, which is suitable for the miniaturized integrated design of this invention. The pulse signal generated by the speed measuring component 40 is transmitted to the control system through the circuit. The control system samples and calculates the signal to obtain the rotational speed information of button 13. The control system includes a main control chip and a data processing unit, which can be a low-power microcontroller (MCU) or an embedded AI chip. It has a preset power generation current calculation model, which can calculate the real-time power generation current value of the power generation component 20 based on the rotational speed information and electromagnetic parameters. This current value is processed and fed back to the display screen 12 in data form, so that the user can view the power generation status of the device in real time.

[0033] By integrating the speed measurement component 40 with the control system, the device achieves closed-loop management across the entire power generation process, from power generation to energy data display. The control system not only monitors the rotation speed and power generation efficiency of the button 13 in real time but also optimizes energy allocation strategies based on the power generation data, ensuring stable energy input for the energy storage component 30 under different power generation intensities, thus achieving intelligent regulation of the self-generating system. This design allows users to intuitively understand the power generation effect of their operation through the screen during the learning process, offering advantages such as strong interactivity and intuitive visualization. Simultaneously, the linked feedback between speed monitoring and current calculation effectively prevents energy waste or structural wear caused by excessively rapid rotation, improving the safety and durability of the system operation.

[0034] Furthermore, the speed measuring component 40 includes an extension 41, a sliding part 42, a magnetic drive part 43, a reset part 44, and a counting part 45. The extension 41 is fixed to the circumferential edge of the button 13. A mounting groove 110 is provided inside the housing 11. The sliding part 42 is slidably installed in the mounting groove 110. A first position and a second position are provided in the mounting groove 110. The magnetic drive part 43 includes a first magnet 431 and a second magnet 432. The first magnet 431 is disposed on the side of the extension 41 near the sliding part 42. Two magnets 432 are disposed on the side of the sliding part 42 near the extension part 41. The first magnet and the second magnet 432 have the same magnetism. When the extension part 41 rotates to face the sliding part 42, the sliding part 42 moves from the first position to the second position under the action of magnetic repulsion. The reset part 44 is used to provide the reset force for the sliding part 42 to return from the second position to the first position. The counting part 45 is used to detect and record the number of times the sliding part 42 reciprocates between the first position and the second position, and transmit the counting signal to the control system.

[0035] Specifically, the extension 41 is located on the circumferential edge of the button 13. It can be a one-piece molded structure or fixedly connected by screws, snaps, or other methods. The material can be ABS engineering plastic or lightweight metal sheet to ensure strength and wear resistance. A mounting groove 110 is formed inside the housing 11. The mounting groove 110 can be opened on the housing 11 by injection molding or machining to accommodate and guide the reciprocating motion of the sliding part 42. The mounting groove 110 has corresponding first and second positions. When the sliding part 42 reciprocates between these two positions, a complete counting cycle can be achieved.

[0036] When button 13 rotates, causing extension 41 to rotate to face sliding part 42, a magnetic repulsion force is generated between the first magnet 431 and the second magnet 432, thereby pushing sliding part 42 to move along mounting groove 110 from the first position to the second position. Due to the instantaneous and non-contact nature of the magnetic field effect, the movement response of sliding part 42 is fast and there is no wear structure, making the speed measurement process both sensitive and stable. This magnetic drive structure achieves mechanical displacement conversion through the principle of magnetic repulsion, avoiding the problem of easy mechanical friction damage in traditional speed measuring devices, extending the structural life and improving the reliability of signal output.

[0037] The reset part 44 can be a compression spring or a torsion spring structure, with one end fixed to the bottom of the housing 11 or the mounting groove 110, and the other end connected to the sliding part 42. When the sliding part 42 moves to the second position under the action of magnetic repulsion, the spring is compressed and stores energy. After the magnetic force is released, the sliding part 42 is pushed back to the first position through elastic recovery, realizing automatic reset. This structural design allows the sliding part 42 to repeatedly reciprocate during the continuous rotation of the button 13, thereby forming a stable mechanical pulse signal. The above-mentioned spring structure is a standard component well known to those skilled in the art, and its elastic coefficient and installation form can be adjusted according to the device size and the magnitude of the magnetic force, so it will not be described in detail in this embodiment.

[0038] The reset part 44 can be a compression spring or a torsion spring structure, with one end fixed to the bottom of the housing 11 or the mounting groove 110, and the other end connected to the sliding part 42. When the sliding part 42 moves to the second position under the action of magnetic repulsion, the spring is compressed and stores energy. After the magnetic force is released, the sliding part 42 is pushed back to the first position through elastic recovery, realizing automatic reset. This structural design allows the sliding part 42 to repeatedly reciprocate during the continuous rotation of the button 13, thereby forming a stable mechanical pulse signal. The above-mentioned spring structure is a standard component well known to those skilled in the art, and its elastic coefficient and installation form can be adjusted according to the device size and the magnitude of the magnetic force, so it will not be described in detail in this embodiment.

[0039] Furthermore, the counting unit 45 includes a light emitting unit 451, a light receiving unit 452, and a counting unit. When the sliding part 42 is in the first position, it blocks the light emitting unit 451 and the light receiving unit 452 to block the light path. When the sliding part 42 is in the second position, the light receiving unit 452 receives light waves and generates electrical signals. The counting unit 45 completes the counting by counting the number of times electrical signals are generated. Specifically, the counting unit 45 includes a light emitting unit 451, a light receiving unit 452, and a counting unit. The light emitting unit 451 and the light receiving unit 452 are disposed opposite each other on both sides of the mounting groove 110, forming an optical path structure for detecting the movement of the sliding part 42. When the sliding part 42 is in the first position, its body blocks the light emitting unit 451 and the light receiving unit 452, thereby blocking the light path. When the sliding part 42 moves to the second position under the repulsive force of the magnetic drive unit 43, the blocking is released, and the light receiving unit 452 can receive the light wave signal from the light emitting unit 451. Upon receiving a light wave, the light receiving unit 452 immediately generates a corresponding electrical signal and transmits it to the counting unit. The counting unit identifies and accumulates the electrical signal generated by each change in the optical path's on / off state. By counting the number of electrical signals generated, the total number of reciprocating movements of the sliding part 42 between the first and second positions can be obtained. After receiving this counting data, the control system, combined with the electromagnetic induction characteristics of the power generation component 20 and the time parameter of the sliding frequency, can calculate the real-time rotational speed of the button 13 and further calculate the changing trend of the power generation current, thereby realizing dynamic monitoring and display of the power generation status.

[0040] The light emitting unit 451 and the light receiving unit 452 can be constructed using infrared photoelectric pairs, laser emitting and receiving modules, or fiber optic sensing modules, all of which are non-contact photoelectric detection devices well-known to those skilled in the art. Their advantages include fast response speed, strong anti-interference capability, and compact structure. The counting unit can be implemented using a micro-integrated counting chip or a microcontroller's built-in counting circuit. It accurately records the number of movements of the sliding part 42 by detecting the number of pulses in the electrical signal. The sliding part 42 can be made of lightweight non-metallic materials to ensure sensitive response and immunity to magnetic field interference during movement. Through the above structural design, the counting unit 45 can achieve high-precision detection of the number of movements of the sliding part 42, enabling the control system to obtain the rotational speed and power generation intensity of the button 13 in real time, and then display the real-time data on the display screen 12 in numerical or graphical form.

[0041] Furthermore, the mounting groove 110 is arranged vertically, with the first position located vertically below the second position. Specifically, the mounting groove 110 is arranged vertically, forming a guide channel structure for the sliding part 42 to slide up and down. The first position is located vertically below the second position. When the sliding part 42 is pushed upward by the magnetic repulsive force under the action of the magnetic drive part 43, it moves from the first position to the second position. When the extension part 41 continues to rotate, causing the first magnet 431 and the second magnet 432 to be misaligned and the magnetic force to be released, the sliding part 42 loses its upward thrust. At this time, since the mounting groove 110 is vertically arranged, the sliding part 42 automatically falls back downward under the action of gravity. At the same time, it is assisted by the elastic force of the reset part 44, enabling it to quickly and smoothly return to the first position, realizing a complete reciprocating motion cycle.

[0042] Furthermore, first guide grooves 111 are provided on both sides of the mounting groove 110. The first guide grooves 111 are arranged vertically, and first rolling elements 421 are rotatably mounted on both sides of the sliding part 42. The first rolling elements 421 roll along the first guide grooves 111. Specifically, the first rolling elements 421 are rotatably mounted on both sides of the sliding part 42. The first rolling elements 421 can be rollers or ball bearings, which are connected to the sliding part 42 through pins or shafts, and can roll freely in the vertical direction within the first guide grooves 111. When the sliding part 42 moves upward under the action of the magnetic drive part 43 or resets downward under the action of the reset part 44 and gravity, the first rolling elements 421 roll along the inner wall of the first guide groove 111, thereby making the movement of the sliding part 42 more stable and avoiding frictional resistance or jamming during the sliding process. Through the cooperation of the first rolling elements 421 and the first guide grooves 111, the contact friction between the sliding part 42 and the mounting groove 110 can be effectively reduced, reducing wear and improving the motion response speed. The first guide groove 111 can be made of metal or high-strength engineering plastic to ensure good wear resistance and guiding accuracy during long-term use.

[0043] Furthermore, a mounting base 112 is also provided inside the housing 11. A second guide groove 113, which is an annular groove, is provided on the top surface of the mounting base 112. A guide block 411 is provided on the bottom surface of the extension 41, and the guide block 411 slides along the second guide groove 113. Specifically, the mounting base 112 is provided inside the housing 11 to support and fix the extension 41 and provide it with an annular guide motion trajectory. The second guide groove 113 is formed on the top surface of the mounting base 112. The second guide groove 113 has an annular structure and can extend continuously along the rotation direction of the extension 41 to form a closed guide channel. A guide block 411 is provided on the bottom surface of the extension 41. This guide block 411 fits tightly with the annular groove. When the user rotates the button 13 to rotate the extension 41, the guide block 411 slides along the second guide groove 113, thereby ensuring that the movement trajectory of the extension 41 during rotation is accurate and stable. The guide block 411 can be made of engineering plastic or metal to ensure wear resistance and smooth movement; the second guide groove 113 can be formed by injection molding or precision grooving, and maintains an appropriate gap with the guide block 411 to reduce friction and prevent jamming.

[0044] Furthermore, a second rolling element 114 is rotatably mounted within the second guide groove 113, and the second rolling element 114 rolls in contact with the guide block 411. Specifically, the second rolling element 114 can be a roller, ball, or miniature bearing structure, allowing the guide block 411 to roll along the groove during rotation, significantly reducing frictional resistance and wear during the rotation of the extension 41. The rolling contact between the guide block 411 and the second rolling element 114 not only ensures the accuracy of the movement trajectory of the extension 41 during rotation, but also effectively avoids swaying and jamming caused by friction or tilting, thereby ensuring that the sliding part 42 can respond accurately under magnetic drive and trigger the reciprocating motion of the counting part 45.

[0045] Furthermore, the AI ​​Learning Machine also includes a light-emitting unit 50, which is electrically connected to the output terminal of the power generation component 20. The faster the button 13 rotates, the greater the induced current generated by the power generation component 20, and the brighter the light-emitting unit 50 becomes; conversely, the slower the button 13 rotates, the smaller the induced current generated by the power generation component 20 becomes, and the weaker the light-emitting unit 50 becomes. Specifically, the light-emitting unit 50 is electrically connected to the output terminal of the power generation component 20 to visually reflect the induced electrical energy generated by the power generation component 20 in the form of a light signal. The light-emitting unit 50 can use an LED light, a dot matrix display module, or a flexible light-emitting material, and its brightness is proportional to the magnitude of the output current of the power generation component 20. When the user rotates the button 13, the button 13 drives the magnet 21, which is coaxially connected to it, to rotate. The magnet 21 generates an induced current in the relatively fixed coil 22, which is then transmitted to the light-emitting unit 50 via the energy storage component 30 or directly through a current-limiting circuit. As the rotation speed of button 13 increases, the frequency and intensity of magnetic wire cutting increase, resulting in a larger induced current and a corresponding increase in the brightness of the light-emitting unit 50. Conversely, when the rotation speed of button 13 decreases, the induced current decreases, and the brightness of the light-emitting unit 50 decreases. Through this direct mapping between current and light intensity, users can intuitively observe the energy effect generated by their operation, thereby enhancing the fun and interactive experience of manual power generation.

[0046] Furthermore, the top surface of button 13 is recessed with an arc-shaped groove 131, which increases the contact area between the user's fingertip and button 13. Specifically, the top surface of button 13 is provided with a recessed arc-shaped groove 131, which forms an arc-shaped depression along the edge of button 13 to increase the contact area between the user's fingertip and button 13. When the user operates button 13, the contact area between the finger and arc-shaped groove 131 increases, which can effectively distribute the pressing pressure, reduce local pressure, and thus improve the comfort and stability of operation. The user can obtain better friction and control during the rotation of button 13, ensuring the stability of button 13 rotation, thereby improving the efficiency of driving the rotation of the power generation component 20.

[0047] In summary, the AI ​​Learning Machine provided in this embodiment enhances the portability and environmental adaptability of the device, enabling autonomous learning and emergency use anytime, anywhere.

[0048] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A self-powered AI learning machine, characterized in that, It includes a display component, a power generation component, and an energy storage component; the display component includes a housing, a display screen, and buttons, the display screen is disposed on the housing and is used to display learning content or interactive information, and the buttons are rotatably mounted on the housing and are used to select different functions and drive the power generation component to work. The power generation component includes a magnet and a coil, which are disposed inside the housing. The magnet is coaxially connected to the button and rotates with the button, so that the coil cuts the magnetic lines of force generated by the magnet to generate an induced current. The output terminal of the coil is electrically connected to the energy storage component, which is used to store induced current and supply power to the display component.

2. The self-generating AI learning machine according to claim 1, characterized in that, It also includes a speed measuring component and a control system. The speed measuring component is used to monitor the rotation speed of the button and transmit the data to the control system. The control system receives the data information and calculates the power generation current value of the power generation component based on the acquired data information, and feeds back the power generation current value data to the display screen.

3. The self-generating AI learning machine according to claim 2, characterized in that, The speed measuring component includes an extension, a sliding part, a magnetic drive part, a reset part, and a counting part. The extension is fixed to the circumferential edge of the button. A mounting groove is provided inside the housing. The sliding part is slidably installed in the mounting groove. A first position and a second position are provided in the mounting groove. The magnetic drive part includes a first magnet and a second magnet. The first magnet is located on the side of the extension near the sliding part, and the second magnet is located on the side of the sliding part near the extension. The first magnet and the second magnet have the same magnetism. When the extension rotates to face the sliding part, the sliding part moves from the first position to the second position under the action of magnetic repulsion. The reset unit is used to provide a reset force for the sliding part to return from the second position to the first position; the counting unit is used to detect and record the number of times the sliding part reciprocates between the first position and the second position, and transmit the counting signal to the control system.

4. The self-generating AI learning machine according to claim 3, characterized in that, The counting unit includes a light emitting unit, a light receiving unit, and a counting unit. When the sliding part is in the first position, it blocks the light emitting unit and the light receiving unit to block the light path. When the sliding part is in the second position, the light receiving unit receives light waves and generates electrical signals. The counting unit completes the counting by counting the number of times electrical signals are generated.

5. The self-generating AI learning machine according to claim 3, characterized in that, The mounting groove is set vertically, and the first position is located vertically below the second position.

6. The self-generating AI learning machine according to claim 3, characterized in that, The mounting groove is provided with a first guide groove on both sides, the first guide groove is arranged in the vertical direction, and a first rolling element is rotatably installed on both sides of the sliding part, the first rolling element rolls along the first guide groove.

7. The self-generating AI learning machine according to claim 3, characterized in that, The housing is also provided with a mounting base, the top surface of which is provided with a second guide groove, which is an annular groove, and the bottom surface of the extension is provided with a guide block, which slides along the second guide groove.

8. The self-generating AI learning machine according to claim 7, characterized in that, A second rolling element is rotatably mounted in the second guide groove, and the second rolling element makes rolling contact with the guide block.

9. The self-generating AI learning machine according to claim 1, characterized in that, It also includes a light-emitting unit, which is electrically connected to the output terminal of the power generation component. The faster the button rotates, the greater the induced current generated by the power generation component, and the brighter the light-emitting unit becomes; the slower the button rotates, the smaller the induced current generated by the power generation component, and the weaker the light-emitting unit becomes.

10. The self-generating AI learning machine according to claim 3, characterized in that, The top surface of the button is recessed with an arc-shaped groove, which is used to increase the contact area between the user's fingertip and the button.

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