Learning machine

Abstract

The learning machine comprises a learning machine main body, a protective sleeve and a detection piece, the protective sleeve comprises a shell and a cover body, a hollow part is formed on the cover body, and on the basis, when the cover body covers the learning machine main body, a first party, a user can still touch an area, opposite to the hollow part, of a display screen of the learning machine main body, so that the learning machine main body is more convenient to use. Through the arrangement of the hollow part, the interaction mode between the learning machine and a user can be increased; and secondly, through the formation of the hollow part, even if the protective sleeve is in a closed state, part of the display screen can be still in an exposed state, so that the learning machine is more attractive. And thirdly, in combination with the arrangement of a detection piece, the covering state of the cover body can be obtained through the detection piece, so that when the cover body covers the learning machine main body, the learning machine main body can display animations based on the covering state of the cover body, and the area, opposite to the hollow part, of the display screen can display the animations; and interaction modes can be further enriched.

Description

Technical Field

[0001] This application relates to the field of electronic device technology, and more particularly to a learning machine. Background Technology

[0002] A learning machine is a learning tool that integrates various educational resources and functions, aiming to provide students with a convenient and efficient learning experience. To protect these machines, protective cases are typically used. However, in traditional models, when the protective case is on the main body, it completely covers the display screen, which is unsightly. Furthermore, users can no longer interact with the machine, resulting in poor interactivity. Utility Model Content

[0003] The present invention introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. This part of the present invention is not intended to limit the key features and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0004] This utility model aims to solve at least one of the technical problems existing in the prior art or related technologies.

[0005] In view of this, embodiments of this application propose a learning machine, comprising:

[0006] The main body of the learning machine includes a display screen;

[0007] A protective cover, comprising a shell and a cover, wherein the shell is connected to the main body of the learning machine, and the cover is connected to the shell and is used to cover the display screen, and the cover has a cutout portion formed thereon;

[0008] A detection element is connected to the protective cover and / or the main body of the learning machine, and the detection element is used to detect and determine the open / closed state of the cover.

[0009] In one feasible implementation, the detection element includes:

[0010] A Hall sensor, wherein the Hall sensor is disposed within the main body of the learning machine;

[0011] A magnetic component is disposed on the protective cover, and the Hall sensor can detect the magnetic component when the cover is closed on the display screen.

[0012] In one feasible implementation, the learning machine further includes:

[0013] A processor, connected to the Hall sensor, and connected to the display screen;

[0014] A memory connected to the processor, wherein the memory stores the animation program;

[0015] A memory module, connected to the storage device, is used to run animation programs to produce animations.

[0016] In one feasible implementation, the learning machine further includes:

[0017] A power supply and a power management module, wherein the power supply is connected to the processor, the display screen and the Hall sensor via the power management module.

[0018] In one feasible implementation, the detection element includes:

[0019] The contact and the contact element are provided, one of which is disposed on the protective sleeve and the other is disposed on the main body of the learning machine.

[0020] In one feasible implementation, there are multiple hollowed-out portions, and the ratio of the width of each hollowed-out portion to the width of the learning machine body is less than or equal to 1 / 5.

[0021] In one feasible implementation, the cover further includes:

[0022] A transparent protective cover, which is connected to the protective sleeve and covers the hollowed-out portion;

[0023] The display screen is a touch screen.

[0024] In one feasible implementation, the cover further includes:

[0025] The first layer and the second layer are both provided with openwork sections, and the transparent cover is sandwiched between the first layer and the second layer;

[0026] Some of the detection components are located between the first layer and the second layer.

[0027] In one feasible implementation, the protective sleeve further includes:

[0028] A support plate is provided, through which the cover is connected to the housing;

[0029] The fastening part has one end connected to the housing.

[0030] In one possible implementation, a decorative element is formed on the cover and / or the shell, and the decorative element together with the hollowed-out portion forms a decorative pattern.

[0031] Compared with the prior art, the present invention has at least the following beneficial effects:

[0032] The learning machine provided in this application includes a main body, a protective cover, and a detection component. The protective cover includes a shell and a cover, with a cutout formed on the cover. Therefore, when the cover is placed on the main body, firstly, the user can still touch the area of ​​the main body's display screen opposite the cutout, increasing the interaction between the learning machine and the user; secondly, even when the protective cover is closed, a portion of the display screen remains exposed, making the learning machine more aesthetically pleasing; and thirdly, combined with the detection component, the closed / closed state of the cover can be detected. Therefore, when the cover is placed on the main body, the main body can display animations based on the closed / closed state of the cover, allowing animations to be displayed on the area of ​​the display screen opposite the cutout, further enriching the interaction methods.

[0033] The above description is merely an overview of the technical solution of this utility model. In order to better understand the technical means of this utility model and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this utility model more obvious and understandable, specific embodiments of this utility model are given below. Attached Figure Description

[0034] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0035] Figure 1 A schematic structural diagram of the protective cover of a learning machine in an unfolded state according to an embodiment of this application;

[0036] Figure 2 A schematic structural diagram of the protective case of a learning machine in an embodiment of this application, shown from another angle in its unfolded state;

[0037] Figure 3 A schematic structural diagram of the storage state of a learning machine according to an embodiment of this application;

[0038] Figure 4 A schematic structural diagram of the protective cover of a learning machine in an unfolded state according to an embodiment of this application;

[0039] Figure 5 A schematic structural diagram of the protective case storage state of a learning machine according to an embodiment of this application;

[0040] Figure 6 This is a structural block diagram of a learning machine according to an embodiment of this application.

[0041] in, Figures 1 to 6 The correspondence between the reference numerals and component names in the attached drawings is as follows:

[0042] 110 Learning machine main body, 120 Protective case, 130 Testing components, 140 Processor, 150 Memory, 160 Memory module, 170 Power supply, 180 Power management module;

[0043] 111 Display screen, 121 Housing, 122 Cover, 123 Support plate, 124 Fastening part, 125 Decorative part, 1221 Hollowed-out part, 131 Hall sensor, 132 Magnetic part. Detailed Implementation

[0044] The following description provides numerous specific details to offer a more thorough understanding of the technical solutions provided by this invention. However, it will be apparent to those skilled in the art that the technical solutions provided by this invention can be implemented without one or more of these details.

[0045] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to the present invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of the stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or combinations thereof.

[0046] Exemplary embodiments according to the present invention will now be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments may be implemented in many different forms and should not be construed as being limited to the embodiments set forth herein. It should be understood that these embodiments are provided so that the disclosure of the present invention is thorough and complete, and that the concept of these exemplary embodiments is fully conveyed to those skilled in the art.

[0047] like Figures 1 to 6As shown in the figure, this application embodiment proposes a learning machine, including: a learning machine body 110, the learning machine body 110 including a display screen 111; a protective cover 120, the protective cover 120 including a shell 121 and a cover 122, the shell 121 being connected to the learning machine body 110, the cover 122 being connected to the shell 121 and used to cover the display screen 111, the cover 122 having a hollow portion 1221 formed thereon; and a detection element 130, the detection element 130 being connected to the protective cover 120 and / or the learning machine body 110, the detection element 130 being used to detect and determine the open / closed state of the cover 122.

[0048] The learning machine includes a main body 110, a protective cover 120, and a detection component 130. The protective cover 120 includes a shell 121 and a cover 122. A cutout 1221 is formed on the cover 122. Based on this, when the cover 122 is placed on the main body 110, firstly, the user can still touch the area of ​​the display screen 111 of the main body 110 and the area opposite to the cutout 1221. The cutout 1221 increases the interaction between the learning machine and the user. Secondly, the cutout 1221 allows part of the display screen 111 to be exposed even when the protective cover 120 is closed, making the learning machine more aesthetically pleasing. Thirdly, in conjunction with the setting of the detection component 130, the closed state of the cover 122 can be known through the detection component 130. Based on this, when the cover 122 is placed on the learning machine body 110, the learning machine body 110 can display animation based on the closed state of the cover 122, so that the area opposite the display screen 111 and the hollow part 1221 can display animation, which can further enrich the interaction method.

[0049] like Figure 6 As shown, in one feasible embodiment, the detection element 130 includes: a Hall sensor 131 disposed inside the learning machine body 110; and a magnetic element 132 disposed on the protective cover 120, wherein the Hall sensor 131 can detect the magnetic element 132 when the cover 122 is closed on the display screen 111.

[0050] In this technical solution, the detection component 130 is further provided with a structural composition. The detection component 130 may include a Hall sensor 131 and a magnetic component 132. Based on this, when the cover 122 approaches or moves away from the learning machine body 110, the Hall sensor 131 can detect the change in magnetic field strength. Based on this, the learning machine body 110 can determine whether the cover 122 is attached to the display screen 111 of the learning machine body 110 through the Hall sensor 131. When the Hall sensor 131 detects that the cover 122 has been attached to the display screen 111, the learning machine can display videos or images based on the detection result of the Hall sensor 131. In particular, it can display videos or images in the area opposite the cutout portion 1221 of the cover 122 on the display screen 111, such as displaying animations, which can increase the interactivity between the user and the learning machine, especially increasing the interactivity of younger children.

[0051] In some examples, considering that the cover 122 accurately covers the display screen 111 to better protect the display screen 111, if the cover 122 is misaligned, there is a risk of damage when the learning machine is not in use or stored in a schoolbag or other equipment. The Hall sensor 131 and the magnetic component 132 can also detect whether the cover 122 is properly closed. If the cover 122 is not properly closed, the main body of the learning machine 110 can also emit a prompt sound to make the storage of the learning machine safer.

[0052] like Figure 6 As shown, in one feasible implementation, the learning machine further includes: a processor 140 connected to a Hall sensor 131 and a display screen 111; a memory 150 connected to the processor 140 and storing animation programs; and a memory module 160 connected to the memory 150 and used to run the animation programs to produce animations.

[0053] In this technical solution, the learning machine may also include a processor 140, a memory 150, and a memory module 160. Based on this, an animation program can be stored in the memory 150. When the Hall sensor 131 detects that the cover 122 is closed on the display screen 111, the processor 140 can retrieve the animation program stored in the memory 150. Furthermore, the memory module 160 can run the animation program to produce an animation for the display screen 111 to display. In particular, it can display an animation in the area corresponding to the cutout part 1221 on the display screen 111, which increases the interactive fun.

[0054] Understandably, the memory module 160 can store multiple animation programs, and running different animation programs can produce different animations. Furthermore, the processor 140 of the learning machine body 110 can be bound to the user's account. The processor 140 can selectively call animation programs based on the user's account level, making the animation programs more targeted and further increasing the fun.

[0055] It is understandable that the traditional method is for the processor 140 to call the stored animation program and then run the animation program through the memory module 160 to generate the animation. In this embodiment, by establishing a connection between the processor 140 and the Hall sensor 131, the animation can be displayed based on the closing state of the cover 122, which increases the interactive fun.

[0056] like Figure 6 As shown, in one feasible implementation, the learning machine further includes a power supply 170 and a power management module 180, wherein the power supply 170 is connected to the processor 140, the display screen 111 and the Hall sensor 131 through the power management module 180.

[0057] In this technical solution, the learning machine may also include a power supply 170 and a power management module 180. Based on this, the power supply 170 can provide power to the processor 140, the display screen 111 and the Hall sensor 131 through the power management module 180, thereby ensuring the normal operation of the main body 110 of the learning machine.

[0058] In one feasible implementation, the detection element 130 includes a contact and a contact member, one of which is disposed on the protective cover 120 and the other is disposed on the learning machine body 110.

[0059] In this technical solution, the detection element 130 can also protect the contacts and contact elements. When the contacts and contact elements come into contact, the detection circuit of the monitoring element can also be triggered. Based on this, the closing relationship between the cover 122 and the display screen 111 can also be known through the contacts and contact elements.

[0060] like Figures 1 to 5 As shown, in one feasible implementation, there are multiple hollowed-out portions 1221, and the ratio of the width of each hollowed-out portion 1221 to the width of the learning machine body 110 is less than or equal to 1 / 5.

[0061] In this technical solution, the style of the cutout portion 1221 is further provided. There can be multiple cutout portions 1221. By setting multiple cutout portions 1221, the display screen 111 can display animations in different areas of the learning machine body 110, which can further increase the fun. The ratio of the width of each cutout portion 1221 to the width of the learning machine body 110 is less than or equal to 1 / 5, which can avoid the width of the cutout portion 1221 being too large and can better protect the display screen 111.

[0062] In one feasible embodiment, the cover 122 further includes: a transparent cover connected to the protective sleeve 120 and covering the cutout portion 1221; wherein, the display screen 111 is a touch display screen 111.

[0063] In this technical solution, the cover 122 may also include a transparent cover, which covers the cutout portion 1221. The transparent cover can also protect the display screen 111, further reducing the probability of damage to the display screen 111, so that the main body of the learning machine 110 can be well protected.

[0064] In this technical solution, the display screen 111 is a touch display screen 111. Based on this, when the cover 122 is closed on the display screen 111, the user can still touch the display screen 111, and the main body of the learning machine 110 can still interact with the user, which can further increase interactivity and fun.

[0065] In one feasible embodiment, the cover 122 further includes: a first layer and a second layer, both of which have a hollow portion 1221, and a transparent protective cover is sandwiched between the first layer and the second layer; wherein, a portion of the detection component 130 is located between the first layer and the second layer.

[0066] In this technical solution, the structure of the cover 122 is further provided. The cover 122 may include a first layer and a second layer. Based on this, the transparent cover can be clamped by the first layer and the second layer, which facilitates the assembly of the transparent cover, improves the mechanical strength of the cover 122, and reduces the probability of the transparent cover warping.

[0067] In this technical solution, some of the detection components 130 are located between the first layer and the second layer. For example, the magnetic component 132 can be located between the first layer and the second layer, which makes the fixation of the detection component 130 more reliable.

[0068] like Figures 1 to 5 As shown, in one feasible embodiment, the protective cover 120 further includes: a support plate 123, the cover 122 being connected to the housing 121 via the support plate 123; and a fastening part 124, one end of which is connected to the housing 121.

[0069] In this technical solution, the structure of the protective cover 120 is further provided. The protective cover 120 may also include a support plate 123, and the cover 122 is connected to the housing 121 through the support plate 123. Based on this, when the protective cover 120 is unfolded, the learning machine body 110 can be placed on the cover 122. The support plate 123 can support the learning machine body 110, so that the user can adjust the arrangement angle of the display screen 111, making it easier for the user to view the content displayed on the display screen 111.

[0070] In this technical solution, the protective cover 120 may also include a fastening part 124. When the cover 122 is placed on the display screen 111, the fastening part 124 can be connected to the cover 122, which can reduce the probability of the protective cover 120 becoming loose, and in particular, can prevent the cover 122 from detaching from the display screen 111, thus better protecting the main body 110 of the learning machine.

[0071] like Figures 1 to 5 As shown, in one possible embodiment, a decorative element 125 is formed on the cover 122 and / or the shell 121, and the decorative element 125 together with the hollow portion 1221 forms a decorative pattern.

[0072] In this technical solution, the decorative part 125 and the hollow part 1221 together form a decorative graphic, which can make the learning machine more beautiful and increase the user's interest in using the learning machine. For example, the decorative part 125 can be a wheel shape, and the hollow part 1221 can be a square shape, so the learning machine as a whole can be in the shape of a vehicle; or the decorative part 125 can be in the shape of a house, and the hollow part 1221 can be a window drill rod, so the learning machine as a whole can be in the shape of a house, which can further increase the enthusiasm for interacting with the learning machine.

[0073] In this utility model, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "join," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "join" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0074] In the description of this utility model, it should be understood that the terms "upper", "lower", "left", "right", "front", "rear", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model.

[0075] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0076] The above are merely preferred embodiments of this utility model and are not intended to limit the scope of this utility model. Various modifications and variations can be made to this utility model by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this utility model should be included within the protection scope of this utility model.

Claims

1. A learning machine characterized by comprising: The learning machine comprises: a learning machine body comprising a display screen; a protective cover comprising a shell connected to the learning machine body and a cover connected to the shell for covering the display screen, the cover being provided with a hollow part; a detection member connected to the protective cover and / or the learning machine body, the detection member being used to detect the opening and closing state of the cover.

2. The learning machine according to claim 1, characterized in that, The detection member comprises: a Hall sensor arranged in the learning machine body; a magnetic member arranged on the protective cover, the Hall sensor being able to sense the magnetic member when the cover covers the display screen.

3. The learning machine according to claim 2, characterized in that Further comprising: a processor connected to the Hall sensor and the display screen; a memory connected to the processor, the memory storing an animation program; a memory module connected to the memory, the memory module being used to run the animation program to produce an animation.

4. The learning machine according to claim 3, characterized in that Further comprising: a power supply and a power management module, the power supply being connected to the processor, the display screen and the Hall sensor through the power management module.

5. The learning machine of claim 1, wherein The detection member comprises: a contact and a contact member, one of the contact and the contact member being arranged on the protective cover and the other being arranged on the learning machine body.

6. The learning machine according to any one of claims 1 to 5, wherein: the hollow parts are a plurality of hollow parts, and the ratio of the width of each hollow part to the width of the learning machine body is less than or equal to 1 / 5.

7. The learning machine according to any one of claims 1 to 5, characterized in that, The cover further comprises: a transparent shield connected to the protective cover and covering the hollow part. The display screen is a touch display screen.

8. The learning machine according to claim 7, characterized in that The cover further comprises: a first layer and a second layer, the hollow part being arranged on each of the first layer and the second layer, and the transparent shield being clamped between the first layer and the second layer. Part of the detection member is located between the first layer and the second layer.

9. The learning machine according to any one of claims 1 to 5, characterized in that, The protective cover further comprises: a support plate, the cover being connected to the shell through the support plate; a buckling part, one end of the buckling part being connected to the shell.

10. The learning machine according to any one of claims 1 to 5, wherein: the cover and / or the shell is provided with a decorative member, the decorative member and the hollow part together forming a decorative pattern.

Images