Intelligent learning machine

Through the combination of intelligent adjustment support device and real-time sitting posture monitoring, the problems of large adjustment errors and passive intervention of existing learning machines are solved, multi-dimensional sitting posture correction and health prevention are achieved, and the use effect of learning machines and students' health are improved.

CN120760025AInactive Publication Date: 2025-10-10HEFEI JIUXUEWANG EDUCATION TECH CO LTD
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Patent Information

Application Number
CN202510906246.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-02
Publication Date
2025-10-10
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

There are bottlenecks in the support structure and sitting posture adjustment of existing smart learning machines. Manual adjustment errors are large and passive intervention effects are poor, causing children to maintain poor posture and cervical spine injuries for a long time.

Method used

It adopts an intelligent adjustment support device, combined with a surveillance camera to collect sitting posture data in real time, and coordinates the multi-dimensional adjustment of height, angle and horizontal position through the main controller and the adjustment control mainboard, and actively corrects the sitting posture with voice reminders.

Benefits of technology

It achieves precise adjustment of the smart learning machine, actively corrects bad sitting posture, prevents vision loss and spinal deformity, and improves students' usage experience and health.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent learning machine, belongs to the technical field of learning machines, and aims to solve the problems of bottleneck in supporting structure and sitting posture adjustment, large manual adjustment error, poor passive intervention effect and insufficient intelligence of the current intelligent learning machine. The intelligent learning machine comprises an intelligent learning machine body, an intelligent adjusting supporting device used for adjusting the intelligent learning machine body according to the sitting posture and height of a student, an adjusting control mainboard, a master controller located in the intelligent learning machine body and a monitoring camera located on the intelligent learning machine body and used for collecting sitting posture data of the student. The sitting posture data comprises the distance between the student body and the intelligent learning machine body and the body inclination angle. According to the intelligent adjusting supporting device, multi-component linkage adjustment is achieved, lifting, rotation angle adjustment and displacement adjustment can be conducted at the same time, the adjusting intelligence is high, compared with a single adjusting mode, sitting postures can be corrected more efficiently, the intelligent adjusting supporting device can be precisely matched with body forms and sitting postures of different students, and a comfortable learning environment is created for the students.
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Description

Technical Field

[0001] The present invention relates to the technical field, and in particular to an intelligent learning machine. Background Art

[0002] Smart learning machines are electronic products used to assist learning. They have independent operating systems, allowing users to download learning resources and install software, games, and other programs provided by third-party service providers. These programs continuously expand the machine's functionality, and they can also connect to wireless networks via mobile communication networks.

[0003] Currently, smart learning machines are widely used in education, but they face significant technical bottlenecks in their support structures and posture adjustment. Existing learning machines often utilize fixed or manually adjustable support legs, requiring users to manually adjust the screen height and angle by turning the brackets or tightening bolts based on their sitting height. However, 83% of children aged 6-12 years old cannot accurately judge the vertical distance between their sitting height and the center of the screen. This results in large errors during manual adjustment, causing the screen center to deviate significantly from the optimal viewing plane, forcing children to maintain a bowed or tilted head posture for extended periods. Long-term use can lead to chronic cervical spine injuries, and as learning time increases, students are more likely to develop poor postures such as leaning forward or tilting their bodies. While some existing learning machines are equipped with cameras for posture recognition, these only provide passive intervention, such as voice prompts, and are unable to compel students to actively adjust their posture. This leads to students maintaining poor posture, creating a vicious cycle of visual discomfort and posture deterioration. To address these issues, we have proposed a smart learning machine. Summary of the Invention

[0004] In view of the bottlenecks in the support structure and sitting posture adjustment of existing intelligent learning machines, large manual adjustment errors, poor passive intervention effects, insufficient intelligence, and the risk of poor posture and cervical spine injuries in children over a long period of time, the purpose of the present invention is to provide an intelligent learning machine to solve the above problems.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent learning machine, comprising an intelligent learning machine body, an intelligent adjustment support device for adjusting the intelligent learning machine body according to a student's sitting posture and height, an adjustment control mainboard, a master controller located inside the intelligent learning machine body, and a monitoring camera. The monitoring camera is located on the intelligent learning machine body and is used to collect student sitting posture data, wherein the sitting posture data includes the distance between the student's body and the intelligent learning machine body and the body tilt angle.

[0007] The intelligent adjustment support device includes a support member, a height adjustment member, an angle adjustment member and a horizontal position adjustment member. The support member includes a base and a support seat. The adjustment control mainboard is located inside the base. A first adjustment slot is provided parallel to the base. The horizontal position adjustment member is located inside the base below the first adjustment slot. A sliding block is connected to the bottom of the support seat. The sliding block passes through the first adjustment slot and extends to the inside of the base.

[0008] Furthermore, the height adjustment member includes a support column, a fixed shaft, a bearing, a fixed seat, a sliding column and an electric telescopic rod. A first sliding groove is symmetrically provided on the outer walls on both sides of the support column. The top of the fixed shaft is fixedly connected to the bottom of the support column. The bottom of the fixed shaft is installed inside the bearing. The bottom of the bearing is connected to the inner bottom of the fixed seat. Limiting plates are symmetrically provided on the top of both sides of the fixed seat. The inner walls of the two limiting plates are provided with a stable abutment plate. The end of the stable abutment plate abuts against the outer wall of the bearing. The bottom of the electric telescopic rod is connected to the inner wall of the bottom of the support seat.

[0009] Furthermore, the diameter of the fixed shaft is smaller than the diameter of the supporting column, the sliding column is located on the inner wall above the two limit plates, and the end of the sliding column is in sliding contact with the outer wall of the fixed shaft at the top of the bearing.

[0010] Furthermore, the angle adjustment component includes an active adjustment gear, a driven adjustment gear and an angle adjustment motor. The driven adjustment gear is sleeved on the outer circumferential wall of the support column. Sliders that slide and match the first sliding groove are symmetrically connected on the inner walls on both sides of the driven adjustment gear. The active adjustment gear is engaged on one side of the driven adjustment gear. The output end of the angle adjustment motor is connected to the active adjustment gear, the outer wall of the angle adjustment motor is connected to the inner wall of the support seat, and the angle adjustment motor is electrically connected to the adjustment control mainboard through a wire.

[0011] Furthermore, the horizontal position adjustment component is located on the side of the adjustment control main board inside the base, and the horizontal position adjustment component includes a displacement motor, a base plate, a screw rod, a guide slide rod and a sliding block. The two ends of the screw rod are installed in parallel through the bearing seat and are located on the top of the base plate. The displacement motor is located on the outer wall of one end of the base plate, and one end of the screw rod passes through the bearing seat and is connected to the output end of the displacement motor through a coupling. The guide slide rod is located parallel to one side of the screw rod, and the two ends of the guide slide rod are connected to the outer wall of the bearing seat. The sliding block passes through and slides on the screw rod, and the bottom of the outer wall on one side of the sliding block is slidably connected to the guide slide rod. The displacement motor is electrically connected to the adjustment control main board through a wire.

[0012] Furthermore, the bottom of the sliding block passes through the first adjusting slot and is fixedly connected to the top of the sliding block.

[0013] Furthermore, the top of the support column is connected to the intelligent learning machine body through a connecting frame.

[0014] Furthermore, the adjustment and control mainboard is electrically connected to the main controller through a wire. The main controller includes a data processing module, a communication module, a control instruction generation module and a power management module. The main controller establishes a data transmission channel with the surveillance camera through the communication module to collect student sitting posture data and transmit it to the data processing module of the main controller in real time. The data processing module is used to reduce noise, analyze and extract features from these raw data, and convert them into effective information that can be used for control decisions.

[0015] Furthermore, the main controller performs two-way communication with the adjustment control mainboard through the communication module, and the data processing module transmits the processed sitting posture data to the control instruction generation module. The control instruction generation module is used to generate corresponding control instructions according to preset sitting posture rules and algorithms. The control instructions send data to the adjustment control mainboard through the communication module. The adjustment control mainboard is used to control the operation of each driving device in the intelligent adjustment support device according to the instructions, and feed back the operating status information of each driving device to the main controller so that the main controller can monitor and adjust the control strategy in real time.

[0016] Furthermore, the power management module is responsible for supplying power to each module inside the master controller as well as the surveillance camera and adjustment control mainboard connected to the master controller, and is used to monitor the power requirements and power status of each device in real time, and dynamically adjust the power output according to the working mode and load conditions of the device to ensure the stable operation of the entire intelligent learning machine system and achieve energy saving and consumption reduction.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] 1. The intelligent learning machine of this application can actively adjust according to the student's position to achieve precise matching with the student, and solve the problem of the center of the screen deviating from the optimal visual plane. During the learning process, the surveillance camera monitors the changes in sitting posture in real time. When it detects that the student's body is leaning forward or tilted, the main controller responds quickly and controls the intelligent adjustment support device to adjust the position of the intelligent learning machine body. Active matching provides a comfortable initial use state, and dynamic correction continuously maintains the correct use posture. The combination of the two guarantees the student's usage experience from both the root and process levels. Compared with a single function, it can more comprehensively prevent problems such as decreased vision and spinal deformation caused by deviation from the visual plane or poor sitting posture, and the effect is far better than simple addition.

[0019] 2. The height adjustment parts, angle adjustment parts and horizontal position adjustment parts in the intelligent adjustment support device form a multi-dimensional intelligent adjustment network under the cooperation of the main controller and the adjustment control mainboard. When students have problems with forward leaning or crooked sitting posture, the various adjustment parts can move synchronously to guide students to restore the correct sitting posture from multiple directions.

[0020] 3. The multi-component linkage adjustment in the intelligent adjustment support device can simultaneously perform lifting, rotation angle and displacement adjustment. Compared with a single adjustment method, it can not only correct the sitting posture more efficiently, but also accurately adapt to the body shape and sitting habits of different students, creating a fully fitted and comfortable learning environment for students. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is the overall axonometric drawing of the present invention;

[0022] Figure 2 This is a schematic diagram of the overall disassembly of the present invention;

[0023] Figure 3 This is a schematic structural diagram of the intelligent adjustment support device of the present invention;

[0024] Figure 4 This is a schematic diagram of the connection structure between the height adjustment member and the angle adjustment member of the present invention;

[0025] Figure 5 It is an axonometric view of the horizontal position adjustment member of the present invention;

[0026] Figure 6 This is a schematic diagram of the internal structure of the horizontal position adjustment member of the present invention;

[0027] Figure 7 This is a connection diagram of the control device of the present invention;

[0028] Figure 8 This is a block diagram of the master controller module of the present invention;

[0029] Figure 9 This is a block diagram of the connection between the adjustment control mainboard and the electrical equipment of the intelligent adjustment support device of the present invention.

[0030] In the figure: 1. Intelligent learning machine body; 2. Intelligent adjustment support device; 21. Support member; 211. Base; 212. Support seat; 213. Sliding block; 214. First adjustment slot; 22. Height adjustment member; 221. Support column; 222. Fixed shaft; 223. Bearing; 224. Fixed seat; 225. Sliding column; 226. Electric telescopic rod; 227. First sliding slot; 228. Limiting plate; 229. Stable abutment plate; 23. Angle adjustment member; 231. Active adjustment gear; 232. Driven adjustment gear; 233. Angle adjustment motor; 234. Slider; 24. Horizontal position adjustment member; 241. Displacement motor; 242. Bottom plate; 243. Screw; 244. Guide slide; 245. Sliding block; 3. Adjustment control main board; 4. Monitoring camera. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0032] In order to solve the technical problems that the current intelligent learning machine support structure and sitting posture adjustment have bottlenecks, manual adjustment errors are large, passive intervention effects are poor, and long-term use can easily lead to poor posture and cervical spine injuries in children.

[0033] Please see the attached Figures 1-9As shown, an intelligent learning machine includes an intelligent learning machine body 1, an intelligent adjustment support device 2 for adjusting the intelligent learning machine body 1 according to the sitting posture and height of the student, an adjustment control mainboard 3, a main controller and a monitoring camera 4 located inside the intelligent learning machine body 1, the intelligent learning machine body 1 also includes a voice reminder module, the voice reminder module is electrically connected to the main controller, and cooperates with the voice reminder. The monitoring camera 4 is located on the intelligent learning machine body 1 and is used to collect student sitting posture data. The sitting posture data includes the distance between the student's body and the intelligent learning machine body 1 and the body tilt angle. The adjustment control mainboard 3 is electrically connected to the main controller through a wire. The main controller includes a data processing module, a communication module, a control instruction generation module and a power management module. The main controller establishes a data transmission channel with the monitoring camera 4 through the communication module to collect student sitting posture data and transmit it to the data processing module of the main controller in real time. The data processing module is used to reduce noise and analyze these raw data and feature extraction, converting it into effective information that can be used for control decision-making. The main controller communicates bidirectionally with the adjustment control mainboard 3 through the communication module. The data processing module transmits the processed sitting posture data to the control instruction generation module. The control instruction generation module is used to generate corresponding control instructions according to the preset sitting posture rules and algorithms. The control instructions send data to the adjustment control mainboard 3 through the communication module. The adjustment control mainboard 3 is used to control the operation of each drive device in the intelligent adjustment support device 2 according to the instructions, and feed back the operating status information of each drive device to the main controller so that the main controller can monitor and adjust the control strategy in real time. The power management module is responsible for powering each module inside the main controller and the monitoring camera 4 and the adjustment control mainboard 3 connected to the main controller. It is used to monitor the power demand and power status of each device in real time, and dynamically adjust the power output according to the working mode and load condition of the device to ensure the stable operation of the entire intelligent learning machine system and achieve energy saving and consumption reduction.

[0034] The monitoring camera 4 of the present application monitors the student's sitting posture in real time, and collects the student's sitting posture data, and transmits it to the data processing module of the main controller in real time. When the data processing module analyzes that the student's body is leaning forward and the human body is close to the screen of the intelligent learning machine body 1, the control instruction generation module generates an upward adjustment instruction. At the same time, the voice reminder module performs voice enhancement on the voice prompt speaker to encourage the student to adjust his sitting posture. The main controller sends data to the adjustment control mainboard 3, and the adjustment control mainboard 3 receives the data and processes it. The data is sent to each control drive circuit in the intelligent adjustment support device 2 through the adjustment control mainboard 3, thereby driving the intelligent learning machine body 1 to move. The brightness of the display screen on the intelligent learning machine body 1 is reduced, forcing the student to be unable to watch and study and need to adjust his sitting posture. When the student's sitting posture is adjusted, the monitoring camera 4 collects normal sitting posture data, and the main controller generates instructions again, resets according to the student's correct position, and makes the intelligent learning machine body 1 return to its initial height position.

[0035] This application reduces students' health problems such as cervical spine injuries caused by poor sitting posture through real-time monitoring and adjustment, thereby ensuring physical development.

[0036] Furthermore, through behavioral intervention, combined with mechanical adjustment and voice reminders, the "visual discomfort-posture deterioration" cycle can be broken, bad sitting posture can be actively corrected, and good body posture habits can be cultivated.

[0037] Furthermore, intelligent adaptation dynamically adjusts the position of the learning machine and screen brightness according to the sitting posture, adapts to different heights and sitting postures, optimizes the visual experience, and reduces eye fatigue.

[0038] Furthermore, the experience is improved, with automated adjustment and resetting, which reduces manual operations, improves learning convenience and continuity, and helps students focus on learning.

[0039] Please see the attached Figure 2 、 3As shown in , 4, 5, 6 and 7, the intelligent adjustment support device 2 includes a support member 21, a height adjustment member 22, an angle adjustment member 23 and a horizontal position adjustment member 24. The support member 21 includes a base 211 and a support seat 212. The top of the support column 221 is connected to the intelligent learning machine body 1 through a connecting frame. The adjustment control mainboard 3 is located inside the base 211. A first adjustment slot 214 is provided parallel to the base 211. The horizontal position adjustment member 24 is located inside the base 211 below the first adjustment slot 214. A sliding block 213 is connected to the bottom of the support seat 212. The sliding block 213 passes through the first adjustment slot 214 and extends to the inside of the base 211. The sliding block 213 moves back and forth in the first adjustment slot 214 to drive the intelligent learning machine body 1 to adjust its horizontal position. The height adjustment member 22 includes a support column 221, a fixed shaft 222, a bearing 223, a fixed seat 224, a sliding column 225 and an electric telescopic rod 226 The first sliding groove 227 is symmetrically provided on the outer walls of both sides of the supporting column 221, and the top of the fixed shaft 222 is fixedly connected to the bottom of the supporting column 221. The bottom of the fixed shaft 222 is installed inside the bearing 223, and the fixed shaft 222 rotates inside the bearing 223 to ensure the up and down connection while ensuring the rotation angle adjustment. The bottom of the bearing 223 is connected to the inner bottom of the fixed seat 224. The top of the fixed seat 224 is symmetrically provided with a limit plate 228 on both sides of the top. The inner walls of the two limit plates 228 are provided with a stable abutment plate 229, and the end of the stable abutment plate 229 abuts against the outer wall of the bearing 223 to ensure the stability of the connection between the bearing 223 and the fixed seat 224. The bottom of the electric telescopic rod 226 is connected to the inner wall of the bottom of the support seat 212. The diameter of the fixed shaft 222 is smaller than the diameter of the supporting column 221. The sliding column 225 is located on the inner wall above the two limit plates 228, and the end of the sliding column 225 slides and abuts against the outer wall of the fixed shaft 222 at the top of the bearing 223.The angle adjustment member 23 includes an active adjustment gear 231, a driven adjustment gear 232 and an angle adjustment motor 233. The driven adjustment gear 232 is sleeved on the outer circumferential wall of the support column 221. Sliders 234 that slide and match with the first sliding groove 227 are symmetrically connected on the inner walls on both sides of the driven adjustment gear 232. The active adjustment gear 231 is engaged on one side of the driven adjustment gear 232. The output end of the angle adjustment motor 233 is connected to the active adjustment gear 231. The outer wall of the angle adjustment motor 233 is connected to the inner wall of the support seat 212. The angle adjustment motor 233 is electrically connected to the adjustment control mainboard 3 through a wire. The horizontal position adjustment member 24 is located on one side of the adjustment control mainboard 3 inside the base 211. The horizontal position adjustment member 24 includes a displacement motor 241, base plate 242, screw rod 243, guide slide 244, and sliding block 245. The ends of screw rod 243 are mounted parallel to each other through bearing blocks and are located on top of base plate 242. Displacement motor 241 is located on the outer wall of one end of base plate 242. One end of screw rod 243 passes through the bearing block and is connected to the output end of displacement motor 241 via a coupling. Guide slide 244 is located parallel to one side of screw rod 243. Both ends of guide slide 244 are connected to the outer wall of the bearing block. Sliding block 245 slides through and on screw rod 243. The bottom of one outer wall of sliding block 245 is slidably connected to guide slide 244. Displacement motor 241 is electrically connected to adjustment control mainboard 3 via wires. The bottom of sliding block 213 passes through first adjustment slot 214 and is fixedly connected to the top of sliding block 245.

[0040] When the smart learning machine body 1 needs to be adjusted in lifting and rotating angle, the total controller sends data to the adjustment control mainboard 3, the adjustment control mainboard 3 receives and processes the data, and sends the data to each control drive circuit in the intelligent adjustment support device 2 through the adjustment control mainboard 3, the electric telescopic rod 226 rises to drive the support column 221 to move on the driven adjustment gear 232, and when it needs to rotate, the angle adjustment motor 233 drives the driving adjustment gear 231 to rotate, since the driving adjustment gear 231 is connected with the driven adjustment gear 232 in meshing, the driven adjustment gear 232 is further driven to rotate, and at the same time, the upper sliding block 234 in the inner wall of the driven adjustment gear 232 is slidingly engaged in the first sliding groove 227 on the support column 221, the driven adjustment gear 232 drives the support column 221 to rotate through the sliding block 234, the support column 221 is rotatably connected with the bearing 223 through the fixed shaft 222 at the bottom, and the support column 221 rotates, when horizontal displacement is needed, the adjustment control mainboard 3 controls the displacement motor 241 to rotate, the displacement motor 241 drives the lead screw 243 to rotate at the same time, further driving the sliding block 245 to displace, the sliding block 245 is slidingly engaged with the guide slide rod 244 at the bottom of the outer wall on one side, and the guide slide rod 244 ensures that the sliding block 245 keeps horizontal displacement, and at the same time, the support seat 212 on the sliding block 213 is driven to displace horizontally, further adjusting the horizontal position of the smart learning machine body 1.

[0041] The multi-component linkage adjustment can simultaneously adjust lifting, rotating angle and displacement, compared with the single adjustment mode, not only can more efficiently correct the sitting posture, but also can accurately adapt to the body shape and sitting habit of different students, and create a comfortable learning environment that fully fits the students.

[0042] The sitting posture data collected by the monitoring camera 4 is sent to the total controller, when the data processing module in the total controller analyzes that the student's body is forwardly inclined and the human body is close to the screen, the control instruction generation module generates an upward adjustment instruction, which is sent to the drive circuit of the electric telescopic rod 226 through the adjustment control mainboard 3, after receiving the instruction, the electric telescopic rod 226 drives the sliding column 225 to slide upward in the first sliding groove 227 of the support column 221, so as to drive the smart learning machine body 1 to move upward and away from the student's line of sight, the brightness of the display screen on the smart learning machine body 1 is reduced, so that the student cannot watch and learn and needs to adjust the sitting posture, when the student adjusts the sitting posture, the monitoring camera 4 collects normal sitting posture data, and the total controller generates an instruction again to control the electric telescopic rod 226 to reset, so that the smart learning machine body 1 returns to the initial height position.

[0043] When the data processing module detects that the student's body is tilted, the control instruction generation module generates an angle adjustment instruction according to the tilt angle, and sends it to the angle adjustment motor 233 through the adjustment control main board 3. The angle adjustment motor 233 drives the active adjustment gear 231 to rotate, and then drives the driven adjustment gear 232 connected to the support column 221 to rotate, thereby realizing the horizontal angle adjustment of the intelligent learning machine body 1, so that it rotates away from the human body, forcing the student to be unable to watch and study, and needs to adjust the sitting posture. When the student's sitting posture returns to normal, the main controller controls the angle adjustment motor 233 to reverse, so that the intelligent learning machine body 1 returns to the initial angle position.

[0044] When the student's body tilts to one side and needs to be adjusted in the horizontal direction, the control instruction generation module generates a horizontal displacement instruction, which is sent to the displacement motor 241 through the adjustment control mainboard 3. The displacement motor 241 drives the screw rod 243 to rotate, driving the sliding block 245 to slide on the screw rod 243 and the guide slide bar 244, thereby moving the support seat 212 and the intelligent learning machine body 1 in the horizontal direction, forcing the student to be unable to watch and study. After the student's sitting posture is adjusted, the main controller controls the displacement motor 241 to rotate in the opposite direction, so that the intelligent learning machine body 1 returns to the initial horizontal position.

[0045] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0046] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent learning machine, comprising an intelligent learning machine body (1), an intelligent adjustment support device (2) for adjusting the intelligent learning machine body (1) according to the sitting posture and height of a student, an adjustment control main board (3), a master controller located inside the intelligent learning machine body (1), and a monitoring camera (4), characterized in that: The monitoring camera (4) is located on the intelligent learning machine body (1) and is used to collect student sitting posture data, wherein the sitting posture data includes the distance between the student's body and the intelligent learning machine body (1) and the body tilt angle; The intelligent adjustment support device (2) comprises a support member (21), a height adjustment member (22), an angle adjustment member (23) and a horizontal position adjustment member (24); the support member (21) comprises a base (211) and a support seat (212); the adjustment control mainboard (3) is located inside the base (211); a first adjustment slot (214) is provided on the base (211) in parallel; the horizontal position adjustment member (24) is located inside the base (211) below the first adjustment slot (214); a sliding block (213) is connected to the bottom of the support seat (212); the sliding block (213) passes through the first adjustment slot (214) and extends to the inside of the base (211).

2. An intelligent learning machine according to claim 1, characterized in that: The height adjustment member (22) includes a support column (221), a fixed shaft (222), a bearing (223), a fixed seat (224), a sliding column (225) and an electric telescopic rod (226). The outer walls of both sides of the support column (221) are symmetrically provided with first sliding grooves (227). The top of the fixed shaft (222) is fixedly connected to the bottom of the support column (221). The bottom of the fixed shaft (222) is installed inside the bearing (223). The bottom of the bearing (223) is connected to the inner bottom of the fixed seat (224). The tops of both sides of the fixed seat (224) are symmetrically provided with limiting plates (228). The inner walls of the two limiting plates (228) are both provided with stable abutting plates (229). The ends of the stable abutting plates (229) abut against the outer wall of the bearing (223). The bottom of the electric telescopic rod (226) is connected to the inner wall of the bottom of the support seat (212).

3. An intelligent learning machine according to claim 2, characterized in that: The diameter of the fixed shaft (222) is smaller than the diameter of the supporting column (221), the sliding column (225) is located on the inner wall above the two limiting plates (228), and the end of the sliding column (225) is in sliding contact with the outer wall of the fixed shaft (222) at the top of the bearing (223).

4. An intelligent learning machine according to claim 3, characterized in that: The angle adjustment member (23) includes an active adjustment gear (231), a driven adjustment gear (232) and an angle adjustment motor (233), wherein the driven adjustment gear (232) is sleeved on the outer circumferential wall of the support column (221), and sliders (234) that slide and match with the first sliding groove (227) are symmetrically connected on the inner walls on both sides of the driven adjustment gear (232), and the active adjustment gear (231) is engaged with one side of the driven adjustment gear (232), and the output end of the angle adjustment motor (233) is connected to the active adjustment gear (231), and the outer wall of the angle adjustment motor (233) is connected to the inner wall of the support seat (212), and the angle adjustment motor (233) is electrically connected to the adjustment control mainboard (3) through a wire.

5. The intelligent learning machine according to claim 4, characterized in that: The horizontal position adjusting member (24) is located on one side of the adjusting control main board (3) inside the base (211). The horizontal position adjusting member (24) includes a displacement motor (241), a base plate (242), a screw rod (243), a guide slide rod (244) and a sliding block (245). Both ends of the screw rod (243) are installed in parallel through a bearing seat and are located on the top of the base plate (242). The displacement motor (241) is located on the outer wall of one end of the base plate (242). One end of the screw rod (243) is installed in parallel with the guide slide rod (244). The bearing seat is connected to the output end of the displacement motor (241) through a coupling, the guide slide (244) is located parallel to one side of the screw rod (243), and both ends of the guide slide (244) are connected to the outer wall of the bearing seat. The sliding block (245) is slidably located on the screw rod (243), and the bottom of the outer wall of one side of the sliding block (245) is slidably connected to the guide slide (244). The displacement motor (241) is electrically connected to the adjustment control main board (3) through a wire.

6. The intelligent learning machine according to claim 1, characterized in that: The bottom of the sliding block (213) passes through the first adjustment slot (214) and is fixedly connected to the top of the sliding block (245).

7. The intelligent learning machine according to claim 2, characterized in that: The top of the support column (221) is connected to the intelligent learning machine body (1) via a connecting frame.

8. The intelligent learning machine according to claim 1, characterized in that: The regulating control mainboard (3) is electrically connected to the master controller via a wire. The master controller includes a data processing module, a communication module, a control instruction generation module, and a power management module. The master controller establishes a data transmission channel with the monitoring camera (4) via the communication module, and is used to collect student sitting posture data and transmit it to the data processing module of the master controller in real time. The data processing module is used to perform noise reduction, analysis, and feature extraction on the raw data, and convert it into effective information that can be used for control decision-making.

9. The intelligent learning machine according to claim 8, characterized in that: The master controller performs two-way communication with the adjustment control mainboard (3) via the communication module. The data processing module transmits the processed sitting posture data to the control instruction generation module. The control instruction generation module is used to generate corresponding control instructions according to preset sitting posture rules and algorithms. The control instructions send data to the adjustment control mainboard (3) via the communication module. The adjustment control mainboard (3) is used to control the operation of each driving device in the intelligent adjustment support device (2) according to the instructions, and feed back the operating status information of each driving device to the master controller so that the master controller can monitor and adjust the control strategy in real time.

10. The intelligent learning machine according to claim 9, characterized in that: The power management module is responsible for supplying power to each module within the master controller, as well as the monitoring camera (4) and the adjustment control mainboard (3) connected to the master controller, and is used to monitor the power demand and power status of each device in real time, and dynamically adjust the power output according to the device's working mode and load condition, so as to ensure the stable operation of the entire intelligent learning machine system and achieve energy saving and consumption reduction.