Intelligent rotary learning machine base and learning equipment
By incorporating an image acquisition module and a multi-degree-of-freedom motion module into the intelligent rotating learning machine base, the problem of the base being unable to be adjusted is solved, enabling automatic adjustment of the user's posture and improving the user experience.
Patent Information
- Application Number
- CN202520218167.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-11
- Publication Date
- 2025-11-21
- Estimated Expiration
- 2035-02-11
AI Technical Summary
The base of existing learning devices cannot adjust its posture according to changes in the user's position, resulting in a poor user experience.
Design an intelligent rotating learning machine base, which includes an image acquisition module and a multi-degree-of-freedom motion module. The image acquisition module collects user image signals and controls the motion module to achieve automatic posture adjustment of the base.
It improves the user's learning experience by flexibly adjusting the angle according to the user's position, thus meeting the needs of multimodal learning.
Smart Images
Figure CN223579477U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of intelligent teaching aids, in particular to an intelligent rotating learning machine base and a learning device. BACKGROUND
[0002] The base of the existing learning device cannot meet the needs of multi-modal learning. For example, when motion or standing learning is required, the base cannot change the posture according to the position of the user, and the user experience is poor. SUMMARY
[0003] The present application provides an intelligent rotating learning machine base and a learning device, which can automatically adjust the posture according to the position of the user, improving the user experience.
[0004] An intelligent rotating learning machine base comprises:
[0005] a processing module;
[0006] an image acquisition module electrically connected to the processing module, the image acquisition module being configured to acquire image signals of a user and output the acquired image signals to the processing module;
[0007] a plurality of active modules with multiple degrees of freedom, the processing module being further electrically connected to the active modules, and the active modules being controlled to move according to the image signals.
[0008] Optionally, the active modules comprise a plurality of sub-modules connected in sequence, each of the sub-modules comprising a base portion and a rotating portion rotatable relative to the base portion, the base portion of a sub-module connected later in sequence is connected to the rotating portion of a sub-module connected earlier in sequence among any two adjacent sub-modules, and the rotating axes of the rotating portions are different in direction.
[0009] Optionally, the plurality of sub-modules comprise a first sub-module, a second sub-module and a third sub-module connected in sequence according to the order of power transmission, the first sub-module, the second sub-module and the third sub-module are assembled from low to high, the rotating portion of the third sub-module is configured to assemble a learning machine, the rotating axis of the rotating portion of the first sub-module is perpendicular to the rotating axis of the rotating portion of the third sub-module, and the rotating axis of the rotating portion of the second sub-module is inclined relative to the rotating axis of the rotating portion of the first sub-module and also inclined relative to the rotating axis of the rotating portion of the third sub-module.
[0010] Optionally, the rotating axis of the rotating portion of the first sub-module is vertically arranged, the rotating axis of the rotating portion of the third sub-module is horizontally arranged, and the angle between the rotating axis of the rotating portion of the second sub-module and the rotating axis of the rotating portion of the first sub-module is 135°±10°.
[0011] Optionally, the intelligent rotating learning machine base further comprises a plurality of housings for accommodating the plurality of sub-modules, the first sub-module and the second sub-module are accommodated in the same housing, or the second sub-module and the third sub-module are accommodated in the same housing.
[0012] Optionally, the rotating part of each of the sub-modules is configured to rotate in both directions and has a rotation angle of 0-320°.
[0013] Optionally, the intelligent rotating learning machine base further comprises a limiting module for limiting the rotation angle of the rotating part of each of the sub-modules.
[0014] Optionally, the intelligent rotating learning machine base further comprises a voice recognition module electrically connected to the processing module, and the processing module controls the image acquisition module in a dormant state to work according to a voice signal recognized by the voice recognition module.
[0015] A learning device, comprising:
[0016] The intelligent rotating learning machine base according to any one of the preceding items;
[0017] A learning machine, which is assembled to the intelligent rotating learning machine base.
[0018] Optionally, the learning machine is magnetically attracted to the intelligent rotating learning machine base by a magnetic member.
[0019] The present application provides an intelligent rotating learning machine base and a learning device, wherein an image acquisition module outputs image information of a user to a processing module, the processing module controls a moving module to act after processing the image information, so that the intelligent rotating learning machine base can track a moving user and flexibly adjust an angle according to a position of the user to facilitate learning and use of the user and improve user experience. BRIEF DESCRIPTION OF DRAWINGS
[0020] Figure 1 is a cross-sectional view of a partial structure of the intelligent rotating learning machine base according to an exemplary embodiment of the present application;
[0021] Figure 2 is an exploded view of the cross-sectional view of the partial structure of the learning device according to an exemplary embodiment of the present application. DETAILED DESCRIPTION
[0022] The technical solutions in the embodiments (or modes of implementation) of the present application will be described clearly and completely in conjunction with the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated.
[0023] If the embodiments of this application contain terms relating to directional indications or positional relationships (such as up, down, left, right, front, back, inside, outside, top, bottom, center, vertical, horizontal, longitudinal, transverse, length, width, counterclockwise, clockwise, axial, radial, circumferential, etc.), such terms are only used to explain the relative positional relationships and movements between components in a specific posture (as shown in the attached figures); if the specific posture changes, the directional indications or positional relationships will also change accordingly. Furthermore, the terms "first" and "second" used in the embodiments of this application are only for descriptive convenience and should not be construed as indicating or implying relative importance.
[0024] Please refer to Figure 1 , Figure 1 This is a cross-sectional view of a portion of the structure of an intelligent rotating learning machine base 100, as shown in an exemplary embodiment of this application.
[0025] This application provides an intelligent rotating learning machine base 100, which includes a processing module and an image acquisition module. Figure 1 (Not shown in the image) and an active module 10 with multiple degrees of freedom. The image acquisition module is electrically connected to the processing module and outputs the acquired image signal to the processing module. The processing module is also electrically connected to the active module 10 and controls the operation of the active module 10 based on the image signal.
[0026] As described above, the image acquisition module outputs the user's image information to the processing module. After processing the image information, the processing module controls the action of the activity module 10, so that the intelligent rotating learning machine base 100 can track the moving user and flexibly adjust the angle according to the user's position to facilitate the user's learning and use and improve the user experience.
[0027] In one embodiment, the active module 10 can employ a ball joint connection structure to achieve a multi-degree-of-freedom movement. In this embodiment, the active module 10 includes multiple sub-modules 11 connected sequentially. Each sub-module 11 includes a base portion 110 and a rotating portion 112 that can rotate about a fixed axis relative to the base portion 110. In any two adjacent sub-modules 11, the base portion 110 of the later-connected sub-module 11 is connected to the rotating portion 112 of the earlier-connected sub-module 11, and the rotation axes of each rotating portion 112 have different directions. In this embodiment, the multi-degree-of-freedom movement of the active module 10 is achieved by superimposing the rotational movements of multiple sub-modules 11, resulting in a simple structure and convenient implementation.
[0028] This application does not specify the number of sub-modules 11. For example, two or more sub-modules 11 can be used. In this embodiment, the active module 10 includes three sub-modules 11. The plurality of sub-modules 11 include a first sub-module 11a, a second sub-module 11b, and a third sub-module 11c. The first sub-module 11a, the second sub-module 11b, and the third sub-module 11c are connected sequentially according to the order of power transmission. That is, the power of the rotating part 112 of the first sub-module 11a is transmitted to the base part 110 of the second sub-module 11b, and the power of the rotating part 112 of the second sub-module 11b is transmitted to the base part 110 of the third sub-module 11c.
[0029] The first submodule 11a, the second submodule 11b, and the third submodule 11c are assembled sequentially from bottom to top. The first submodule 11a is located at the bottom, the third submodule 11c is located at the top, and the rotating part 112 of the third submodule 11c is used to assemble the learning machine.
[0030] The rotation axis O1 of the rotating part 112 of the first submodule 11a is perpendicularly intersected with the rotation axis O3 of the rotating part of the third submodule 11c. The rotation axis O2 of the rotating part 112 of the second submodule 11b is inclined relative to the rotation axis O1 of the rotating part 112 of the first submodule 11a and also inclined relative to the rotation axis O3 of the rotating part 112 of the third submodule 11c.
[0031] In the above embodiments, the first submodule 11a, the second submodule 11b and the third submodule 11c not only realize the sequential transmission of power, but also assemble and stack them in the upper and lower spaces, making the shape design of the intelligent rotating learning machine base 100 more ergonomic.
[0032] exist Figure 1 In the embodiment shown, the rotation axis O1 is vertically set, the rotation axis O3 is horizontally set, and the angle α between the rotation axis O2 and the rotation axis O1 is 135°±10°. This angle α is an obtuse angle, which allows the rotating part 112 of the second sub-module 11b to be in an upward state, thereby increasing the height of the third sub-module 11c and making the intelligent rotating learning machine base 100 more adaptable to the user's viewing angle.
[0033] Please continue to refer to this. Figure 1For example, the first sub-module 11a includes a first motor 101, a base 102 for mounting the first motor 101, a gear transmission mechanism 103, and an inner support 104 in transmission connection with an output end of the gear transmission mechanism 103. The housing of the first motor 101 and the base 102 are jointly formed as a base part 110 of the first sub-module 11a, and the motor shaft of the first motor 101, the gear transmission mechanism 103, and the inner support 104 are jointly formed as a rotating part 112 of the first sub-module 11a. The gear transmission mechanism 103 is used as a speed reducer, and the inner support 104 is used to connect with the base part 110 of the second sub-module 11b. It should be noted that in the embodiment in which the rotating part 112 includes a plurality of components, the rotating shaft of the rotating part 112 refers to the rotating shaft of the output end.
[0034] In the present embodiment, the structures of the second sub-module 11b and the third sub-module 11c are basically the same as that of the first sub-module 11a, and thus will not be described herein.
[0035] In an embodiment, the intelligent rotating learning machine base 100 further includes a plurality of housings (not shown in the figure) for accommodating a plurality of the sub-modules 11. The first sub-module 11a and the second sub-module 11b are accommodated in the same housing, or the second sub-module 11b and the third sub-module 11c are accommodated in the same housing. In this way, two sub-modules can share the same housing, thereby reducing the number of housings, making the overall intelligence of the rotating learning machine base 100 better, and the appearance more simple and concise. Figure 1 In the embodiment shown in the figure, the first sub-module 11a and the second sub-module 11b are accommodated in the same housing, and the third sub-module 11c is separately accommodated in another housing. The housing for accommodating the first sub-module 11a and the second sub-module 11b is located at the bottom of the intelligent rotating learning machine base 100 and has a relatively large volume, and the housing for accommodating the third sub-module 11c is located at the top of the intelligent rotating learning machine base 100 and has a relatively small volume. In this way, the appearance design of the intelligent rotating learning machine base 100 can be more beautiful and reasonable.
[0036] Figure 1 In an embodiment, the rotating part 112 of each sub-module 11 can rotate in both forward and reverse directions, and the rotation angle is 0-320°. The rotation angle is close to a full circle of 360° rotation. The greater the rotation angle of the rotating part 112, the better the flexibility of the intelligent rotating learning machine base 100 when adjusting the angle, and the stronger the adjustment function.
[0037] In an embodiment, the intelligent rotating learning machine base 100 further includes a limiting module (not shown in the figure) for limiting the rotation angle of the rotating part 112 of each sub-module 11. In this way, the rotation angle of the rotating part 112 can be limited within a certain range, thereby preventing the rotating part 112 from rotating too much and causing damage to the rotating part 112 or the intelligent rotating learning machine base 100.
[0038] In an embodiment, the intelligent rotating learning machine base 100 further includes a limiting module (not shown in the figure) for limiting the rotation angle of the rotating part 112 of each sub-module 11. In this way, the rotation angle of the rotating part 112 can be limited within a certain range, thereby preventing the rotating part 112 from rotating too much and causing damage to the rotating part 112 or the intelligent rotating learning machine base 100. Figure 1 The limiting module (not shown) is used to limit the rotation angle of the rotating part 112 of each sub-module, so that it rotates within a preset angle range. For example, the limiting module can be implemented by a hardware module such as a travel switch, which stops rotating when the rotating part 112 touches the travel switch after rotating to the limit position. For another example, the limiting module can be implemented by a software module, which automatically controls the rotating part 112 to stop rotating by using a program when the rotating part 112 rotates to a preset angle.
[0039] In one embodiment, the intelligent rotating learning machine base 100 further comprises a voice recognition module (not shown), which is electrically connected with the processing module. The processing module controls the image acquisition module in the dormant state to work according to the voice signal recognized by the voice recognition module. That is, when the image acquisition module is in the dormant state, the user can wake up the image acquisition module by voice to make the image acquisition module continue to work. Figure 1
[0040] In one embodiment, the intelligent rotating learning machine base 100 further comprises a counterweight (not shown), which is used to increase the weight of the intelligent rotating learning machine base 100 and reduce the risk of the intelligent rotating learning machine base 100 falling down. The material of the counterweight is not limited. Figure 1
[0041] Please refer to Figure 2 , Figure 2 The exploded view of the learning machine and the activity module 10 in the assembled state according to an exemplary embodiment of the present application.
[0042] The present application also provides a learning device, which comprises the intelligent rotating learning machine base 100 and the learning machine 200 described above. The learning machine 200 is assembled in the intelligent rotating learning machine base 100, more specifically, the learning machine 200 is assembled in the rotating part 112 of the third sub-module 11c. The learning machine 200 includes but is not limited to a tablet computer.
[0043] In one embodiment, the learning machine 200 is attracted to the intelligent rotating learning machine base 100 by the magnetic member 300, so as to be relatively fixed. The magnetic attraction makes the assembly of the learning machine 200 and the intelligent rotating learning machine base 100 more convenient. Of course, the assembly method is not limited thereto.
[0044] The above only describes the preferred embodiments of the present application and should not be used to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims
1. A smart rotating learning machine base, characterized in that, include: Processing module; An image acquisition module is electrically connected to the processing module. The image acquisition module is used to acquire the user's image signal and output the acquired image signal to the processing module. The processing module is electrically connected to the multiple active modules and controls their actions according to the image signal.
2. The intelligent rotating learning machine base according to claim 1, characterized in that, The active module includes multiple sub-modules connected in sequence. Each sub-module includes a base part and a rotating part that can rotate relative to the base part on a fixed axis. In any two adjacent sub-modules, the base part of the sub-module connected in the later connection order is connected to the rotating part of the sub-module connected in the earlier connection order. The rotation axes of each rotating part are in different directions.
3. The intelligent rotating learning machine base according to claim 2, characterized in that, The plurality of sub-modules include a first sub-module, a second sub-module, and a third sub-module connected in sequence according to the order of power transmission. The first sub-module, the second sub-module, and the third sub-module are assembled from bottom to top. The rotating part of the third sub-module is used to assemble the learning machine. The rotation axis of the rotating part of the first sub-module is perpendicular to the rotation axis of the rotating part of the third sub-module. The rotation axis of the rotating part of the second sub-module is inclined relative to the rotation axis of the rotating part of the first sub-module and also inclined relative to the rotation axis of the rotating part of the third sub-module.
4. The intelligent rotating learning machine base according to claim 3, characterized in that, The rotation axis of the rotating part of the first submodule is set vertically, the rotation axis of the rotating part of the third submodule is set horizontally, and the angle between the rotation axis of the rotating part of the second submodule and the rotation axis of the rotating part of the first submodule is 135°±10°.
5. The intelligent rotating learning machine base according to claim 3, characterized in that, The intelligent rotating learning machine base also includes multiple housings for accommodating multiple sub-modules, wherein the first sub-module and the second sub-module are housed in the same housing; or, the second sub-module and the third sub-module are housed in the same housing.
6. The intelligent rotating learning machine base according to any one of claims 2 to 5, characterized in that, The rotating part of each submodule is configured to rotate in both directions, with a rotation angle of 0 to 320°.
7. The intelligent rotating learning machine base according to any one of claims 2 to 5, characterized in that, The intelligent rotating learning machine base also includes a limiting module, which is used to limit the rotation angle of the rotating parts of each sub-module.
8. The intelligent rotating learning machine base according to any one of claims 1 to 5, characterized in that, The intelligent rotating learning machine base also includes a voice recognition module, which is electrically connected to the processing module. The processing module controls the image acquisition module, which is in a dormant state, to work based on the voice signal recognized by the voice recognition module.
9. A learning device, characterized in that, include: The intelligent rotating learning machine base as described in any one of claims 1 to 8; A learning machine, which is mounted on the intelligent rotating learning machine base.
10. The learning device according to claim 9, characterized in that, The learning machine is magnetically attracted to the base of the intelligent rotating learning machine via magnetic components.