An intelligent machine learning device for easy mobility

Abstract

An intelligent, easily movable machine learning device comprising a main housing (1), characterized in that: the base of the main housing (1) is fixedly mounted to a movable frame (2), the base of the movable frame (2) is fixedly mounted to a mounting base plate (3), the inner side wall of the movable frame (2) is fixedly mounted to a mounting partition (4), and a control screw (5) is rotatably mounted between the mounting base plate (3) and the mounting partition (4), and a support base plate (6) is rotatably mounted at the lower corners of the support base plate (6) by means of a wheel frame. A control screw (5) is located between the mounting plate (3) and the mounting wall (4), a support base plate (6) is slidably mounted on the inner side wall of the movable frame (2), and a movable wheel (7) is rotatably mounted at the lower corners of the support base plate (6) by means of the wheel frame.

Description

Technical area

[0001] These utility models relate to the technical field of intelligent machine learning devices, in particular to an intelligent machine learning device that is easy to move. Technology Background

[0002] A machine learning device is a computer system that uses algorithmic models to automatically analyze and learn from data. This allows computers to improve their performance by learning from data and inferring patterns without explicit programming. Machine learning devices are the hardware and software systems that enable this technology. A machine learning device typically includes a processor, memory, a storage device, and a software environment for executing machine learning algorithms. These components work together to process large amounts of data and train models.

[0003] In supervised learning, the algorithm learns from a labeled dataset, meaning the outcome is known for each sample. The algorithm builds a model by learning the correlations between these examples to make predictions about new data. Unsupervised learning algorithms deal with datasets that have no labels or outcomes, and the goal is to discover the inherent structure, patterns, or relationships in the data. Clustering algorithms, for example, can group similar objects together. Reinforcement learning means that intelligences learn through trial and error as they interact with their environment, with the goal of maximizing long-term rewards rather than relying directly on predetermined labels.

[0004] However, many existing machine learning devices are large and inconvenient to transport, limiting their flexible deployment in various scenarios. For example, in some scientific research projects that require frequent changes of work locations, temporary experimental environments, or on-site data collection and analysis scenarios, it is difficult to transport and deploy the device quickly and conveniently, which affects the work efficiency and the usefulness of the device. Therefore, in this application, an intelligent machine learning device that is convenient to transport is proposed. Content of the invention

[0005] In response to the shortcomings of the existing technology, this utility model provides a conveniently mobile intelligent machine learning device, with advantages such as convenient mobile machine learning device, which solves the problem that many existing machine learning devices are large and inconvenient to move, which limits their flexible use in various scenarios, for example, in some scientific research projects that frequently need to change the workplace, temporary experimental environments or field data collection and analysis scenarios, it is difficult to transfer and deploy the device quickly and conveniently, which affects the work efficiency and practicality of the device.In some research projects, temporary experimental environments, or on-site data collection and analysis scenarios, it is difficult to transfer and deploy the device quickly and easily, which affects the work efficiency and practicality of the device.

[0006] In order to achieve the above-mentioned purpose, the utility model provides the following technical solution: a (kind of) intelligent machine learning device that is easy to move, comprising a main body, a movable frame fixedly mounted on the bottom of the main body, a mounting base plate fixedly mounted on the bottom of the movable frame, a mounting partition fixedly mounted on the inner side wall of the movable frame, a control screw rotatably mounted between the mounting base plate and the mounting partition, a support base plate slidably mounted on the inner side wall of the movable frame, and a movable wheel rotatably mounted on the lower corners of the support base plate through a wheel frame.The inner side wall of the movable frame is slidably mounted with a support base plate, and movable wheels are rotatably mounted at the corners of the bottom of the support base plate by means of a wheel frame.

[0007] Furthermore, the support base plate is provided with a threaded hole on the top of the support base plate, and the control screw is screwed to the support base plate through the threaded hole.

[0008] Furthermore, the mounting base plate is provided with a number of four through holes on the top of the mounting base plate, and the movable wheels are aligned with the through holes.

[0009] Furthermore, a reduction gear is fixedly mounted on the assembly partition, and the output shaft of the reduction gear is fixedly connected to the upper end of the control screw.

[0010] Furthermore, a control motor is fixedly mounted on the top of the reducer, and the output shaft of the control motor is fixedly connected to the input shaft of the reducer.

[0011] Furthermore, four inner side walls of the movable frame are fixedly mounted with limit slides, and a limit groove adapted to the limit slides is provided on the top of the support base plate.

[0012] Further, the main body has a control unit fixedly mounted on the top of the main body, and a control panel fixedly mounted on the top beveled surface of the control unit.

[0013] Furthermore, the main body is fixedly mounted with handles on both sides of the opposite side, and a retractable switch is fixedly mounted on one side of the main body.

[0014] Compared with the prior art, this utility model provides an intelligent machine learning device that is easy to move and has the following advantages: The intelligent machine learning device is easy to move by mounting a movable frame on the bottom of a main body, mounting a support base plate in the frame that can slide up and down, mounting a movable wheel on the bottom of the support base plate, moving the support base plate down by means of a control screw when it needs to be moved, with the movable wheel in contact with the ground, and controlling the support base plate to retract into the movable frame when it doesn't need to be moved, with the movable wheel being separated from the ground by means of the mounting base plate in contact with the ground to keep the machine learning device in place, which solves the problem that many existing machine learning devices are large and inconvenient to move, which limits their flexible use in various scenarios, such asIn some scientific research projects that require frequent changes in the workplace, temporary experimental environments, or field data collection and analysis scenarios, it is difficult to transfer and deploy the device quickly and conveniently, which affects work efficiency. This impairs the work efficiency and practicality of the device.

[0015] This utility model relates in particular to an intelligent machine learning device which is easy to move and belongs to the technical field of intelligent machine learning devices, comprising a main body, a movable frame fixedly attached to the bottom of the main body, a mounting base plate fixedly attached to the bottom of the movable frame, and a mounting partition fixedly attached to the inner side wall of the movable frame.The intelligent machine learning device which is mobile-friendly by installing a movable frame at the bottom of a main body, installing a support base plate in the frame which can slide up and down, installing a movable wheel at the bottom of the support base plate, and controlling the up and down movement of the support base plate to control the movable wheel to be in contact with the ground or separating the movable wheel from the ground by means of a control screw, solves the problem that many existing machine learning devices are large and inconvenient to move, which limits the flexible use in various scenarios and makes it difficult to transport and deploy the device quickly and conveniently, thus affecting the work efficiency and practicality of the device. Description of the drawings Fig. shows a schematic representation of the structure of this utility model; Fig. shows a section through the movable frame of this utility model from above; Fig. shows a plan view of the support base plate of this utility model; Fig. shows a three-dimensional sectional view of the movable frame of this utility model.

[0016] In the figure: 1, main body; 2, movable frame; 3, mounting base; 4, mounting partition; 5, control screw; 6, support base; 61, threaded holes; 7, movable wheel; 8, through hole; 9, gear; 10, control motor; 11, limit slide; 12, limit groove; 13, control device; 14, control panel; 15, handle; 16, retractable switch. Specific implementation method

[0017] The technical solutions in the embodiments of the utility model are described clearly and completely below in conjunction with the attached drawings in the embodiments of the utility model. It is clear that the described embodiments represent only a portion of the embodiments of the utility model and not all embodiments. Starting from the embodiments of the utility model, all other embodiments that a person skilled in the art can derive without creative effort fall within the scope of protection of this utility model.

[0018] Example 1: Referring to the Fig. 1 to 4, an intelligent machine learning device that is easy to move includes a main body 1, a movable frame 2 fixedly attached to the bottom of the main body 1, a mounting base plate 3 fixedly attached to the bottom of the movable frame 2, a mounting partition 4 fixedly attached to an inner wall of the movable frame 2, a control screw 5 rotatably mounted between the mounting base plate 3 and the mounting partition 4, a support base plate 6 slidably mounted on the inner wall of the movable frame 2, and a movable wheel 7 rotatably mounted at the bottom corners of the support base plate 6 via a wheel frame. The inner side wall of the movable frame 2 is slidably supported by a support base plate 6, and movable wheels 7 are rotatably mounted at the bottom corners of the support base plate 6 via a wheel frame.

[0019] A threaded hole 61 is provided on the top of the support base plate 6, and the control screw 5 is screwed to the support base plate 6 through the threaded hole 61.

[0020] The control screw 5 rotates and drives the support base plate 6 up and down within the movable frame 2, thereby moving the movable wheels 7 up and down, so that the movable wheels 7 come into contact with the ground and facilitate the movement of the main body 1. When the main body 1 needs to be placed, the movable wheels 7 are pulled out from inside the movable frame 2 and come into contact with the ground via the mounting base plate 3.

[0021] Second, the top surface of the mounting base plate 3 is provided with four through holes 8, and the movable wheel 7 is aligned with the through holes 8. The movable wheel 7 passes through the mounting base plate 3 during the up and down movement with the help of the through hole 8.

[0022] A reduction gear 9 is fixedly mounted on the top of the mounting partition 4, and the output shaft of the reduction gear 9 is fixedly connected to the top of the control screw 5.

[0023] A control motor 10 is fixedly mounted on top of the reduction gear 9, and an output shaft of the control motor 10 is fixedly connected to an input shaft of the reduction gear 9. The control motor 10 drives the reduction gear 9 to rotate, which drives the control screw 5 to rotate and controls the movement of the support base plate 6.

[0024] At the same time, the main body 1 is fixedly mounted with handles 15 on both sides of the opposite side, and a retractable switch 16 is fixedly mounted on one side of the main body 1. The main body 1 is held up and moved by the handle 15, and the retractable switch 16 is electrically connected to the control motor 10, which is controlled by the retractable switch 16 to rotate the control motor 10 forward and backward.

[0025] Four inner side walls of the movable frame 2 are fixedly mounted with limit slides 11, and the upper surface of the support base plate 6 is provided with limit grooves 12 that are adapted to the limit slides 11. By adapting the limit slide 11 to the limit groove 12, the support base plate 6 is moved up and down more stably.

[0026] Example 2: According to the Fig.1 to 4, a controller 13 is fixedly mounted on the top of the main body 1, and a control panel 14 is fixedly mounted on the upper sloped surface of the controller 13. The main body 1 is equipped with core components for machine learning, including a processor, a memory, and the like. The control panel 14 serves to display information such as data processing results and provide an operation interface that facilitates user operations such as parameter setting and command input.

[0027] In this embodiment, the retraction switch 16 controls the control motor 10 to rotate positively and drive the movable wheels 7 downward, so that the movable wheels 7 touch the ground and the movement of the main chassis 1 is facilitated. When the main chassis 1 is to be placed, the retraction switch 16 controls the control motor 10 to rotate negatively, so that the movable wheels 7 are retracted into the interior of the movable frame 2 and touch the ground via the mounting base plate 3, so that the main chassis 1 is placed.

[0028] The electrical components appearing in the text are electrically connected to the main control device and the power supply, the main control device may be a computer and so on, to play a role in controlling the conventionally known devices, and the existing disclosure of the electrical connection technology, not to be repeated in the text.

[0029] It should be noted that in this document, relationship terms such as "first" and "second" are used only to distinguish one entity or operation from another and do not necessarily require or imply any such actual relationship or sequence between those entities or operations. Furthermore, the terms "including," "comprising," or any other variation thereof are intended to cover non-exclusive inclusion, such that a process, method, item, or piece of equipment that includes a number of elements includes not only those elements but also other elements not expressly listed or that are proper to, or inherent in, such process, method, item, or piece of equipment.Without further limitation, the fact that an element is defined by the statement "including a ......" does not preclude the presence of another identical element in the process, method, article or apparatus incorporating that element.

[0030] Although embodiments of the utility model have been shown and described, it will be understood by one skilled in the art that numerous changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principle and spirit of the utility model, and that the scope of this utility model is limited by the appended claims and their equivalents.

Claims

[1] An intelligent machine learning device that is easy to move, comprising a main body (1), characterized by that: the bottom of the main housing (1) is fixedly mounted to a movable frame (2), the bottom of the movable frame (2) is fixedly mounted to a mounting base plate (3), the inner side wall of the movable frame (2) is fixedly mounted to a mounting partition wall (4), and a control screw (5) is rotatably mounted between the mounting base plate (3) and the mounting partition wall (4), and a support base plate (6) is rotatably mounted to the lower corners of the support base plate (6) by means of a wheel frame. A control screw (5) is mounted between the mounting plate (3) and the mounting wall (4), a support base plate (6) is slidably mounted to the inner side wall of the movable frame (2), and a movable wheel (7) is rotatably mounted to the lower corners of the support base plate (6) by means of the wheel frame. [2] An intelligent machine learning device which is easy to move according to claim 1, characterized by that: a threaded hole (61) is opened on the top of the support base plate (6), and the control screw (5) is screwed to the support base plate (6) through the threaded hole (61). [3] intelligent machine learning device for light movement according to claim 1, characterized by that: the mounting base plate (3) is provided with a number of four through holes (8) on the top of the mounting base plate (3) and the movable wheels (7) are aligned with the through holes (8). [4] An intelligent machine learning device which is easy to move according to claim 1, characterized by that: a reduction gear (9) is fixedly attached to the top of the mounting partition (4) and the output shaft of the reduction gear (9) is fixedly connected to the top of the control screw (5). [5] An intelligent machine learning device which is easy to move according to claim 4, characterized by that: a control motor (10) is fixedly attached to the top of the reduction gear (9) and the output shaft of the control motor (10) is fixedly connected to the input shaft of the reduction gear (9). [6] intelligent machine learning device for light movement according to claim 1, characterized by that: four inner side walls of the movable frame (2) are fixedly mounted with limit slides (11), and a limit groove (12) adapted to the limit slides (11) is open on the upper side of the support base plate (6). [7] in particular mobile, intelligent machine learning device according to claim 1, characterized by that a control unit (13) is fixedly attached to the top of the main housing (1) and a control panel (14) is fixedly attached to the upper slope of the control unit (13). [8] An intelligent machine learning device which is easy to move according to claim 1, characterized by that: the main housing (1) is fixedly mounted with handles (15) on both sides of the opposite side, and a retractable switch (16) is fixedly mounted on one side of the main housing (1).

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