Physical training system based on unmanned aerial vehicle

Through intelligent volleyball training in the drone system, the problem of low efficiency of the existing volleyball training system has been solved, and an efficient and diversified training mode has been achieved. The use of drones and AI technology to provide personalized training data analysis, which has improved athletes' training Effect.

CN119280779APending Publication Date: 2025-01-10吕若源
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Patent Information

Application Number
CN202411663757.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-20
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

The existing volleyball training system is inefficient and cannot effectively practice multiple movements. It relies on manual ball throwing and mechanical equipment, which limits the diversity and efficiency of training.

Method used

Adopting a sports training system based on drones, the intelligent object throwing and receiving is achieved through the grasping device and processing device, and the release position and method of the object are controlled by the height and trajectory of the drone, combining the camera module and the AI ​​processing system. , generate a motion training model and realize intelligent training.

Benefits of technology

It improves the efficiency and diversity of volleyball training. Through drone marshalling and AI processing, personalized training data analysis and feedback are provided to help athletes improve their behavior and realize training methods guided by artificial intelligence.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a physical training system based on unmanned aerial vehicles, comprising: a plurality of gripping devices, each gripping device comprising an unmanned aerial vehicle and a gripper, the top of the gripper being fixedly connected to the bottom of the unmanned aerial vehicle; the processing device is in communication connection with the grabbing device and is configured to transmit training information to the grabbing device, so that the grabbing device moves to a target position and throws the object in a specified mode, and the training information comprises position information and release information. The training system can effectively improve the training efficiency of athletes, and is low in cost and suitable for popularization.
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Description

Technical Field

[0001] The present application belongs to the field of intelligent sports, and in particular, relates to a sports training system based on drones. Background Art

[0002] Football, volleyball and basketball are the three major ball sports in the world. With the continuous increase in promotion efforts, more and more people are beginning to like these sports. Taking volleyball as an example, scientific training of volleyball players has become an important tool to improve the level of volleyball players. In the existing volleyball training process, players are generally lined up in a team, and the coach tosses the ball one by one to practice receiving and serving. Mechanical serving machines have also been used to practice single serving. However, all of them have the problem of low efficiency and can only practice single movements.

[0003] Therefore, there is an urgent need for a system that can provide efficient training. Summary of the invention

[0004] In response to the technical problems existing in the prior art, this application proposes a system for implementing sports training through drones, thereby improving the training efficiency of athletes.

[0005] On the one hand, the present application provides a sports training system based on a drone, comprising: a plurality of gripping devices, each of which comprises a drone and a gripper, wherein the top of the gripper is fixedly connected to the bottom of the drone; a processing device, which is communicatively connected to the gripping device and is configured to transmit training information to the gripping device so that the gripping device moves to a target position and throws an object in a specified manner, wherein the training information includes position information and release information.

[0006] In one embodiment, the gripping device is configured to control the gripper to throw the object according to the flight altitude of the drone in response to the training information, or to throw the object according to the flight trajectory of the drone.

[0007] In one embodiment, the gripping device is configured to respond to the training information so that a plurality of the gripping devices throw the object at a plurality of positions.

[0008] In one embodiment, the gripping device further includes a camera module for acquiring image data of the drone during flight and compressing the image data at a specified compression ratio.

[0009] In one embodiment, the processing device is further configured to perform training based on the image data, the flight data of the drone and the training characteristics of the user to generate a motion training model.

[0010] In one embodiment, the plurality of gripping devices perform the following actions based on the training information:

[0011] A plurality of the gripping devices arrive at a designated position in a group to release the object, and after the release, fly away within a first threshold time, wherein the training information includes the release height, the distance from the net, and the distance between the vertical projection of the release position on the plane of the net and the extension lines of the net poles at both ends.

[0012] In one embodiment, the gripping device adjusts the angle and speed at which the gripper throws the object based on the training information.

[0013] In one embodiment, the gripping device further comprises: a moving component, which is disposed on the top of the gripper and is configured to throw the object at a specified angle and speed under the influence of the training information.

[0014] In one embodiment, the processing device determines the communication protocol with the gripping device based on the communication quality and / or the type of transmission data.

[0015] In one embodiment, the communication protocol includes 4G, 5G or OcuSync.

[0016] By implementing the technical solution of the present invention, it is possible to reshape the behavior of volleyball players through real-time data analysis and intelligent information feedback systems such as intelligent equipment (drones), motion monitoring data (volleyball serve and receive positions and trajectories), and help shift the mode of volleyball training participation from the era of "human teaching" to the era of "artificial intelligence guidance."

[0017] Through programmable drones and drone formations, single-point and multi-point volleyball training can be achieved; the drone load gripper control system can control the release of the volleyball according to the drone's flight altitude / according to the drone's arbitrary trajectory; the drone altitude and trajectory control system can realize the multi-point release function of single-point drones and drone formations. In addition, through the learning system, volleyball training data is collected and AI processed based on the historical image data, position, and altitude data of the drone load camera, which can form a record and analysis of the training history of individual athletes, thereby better guiding athlete training. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Below, the preferred embodiments of the present application will be further described in detail with reference to the accompanying drawings, wherein:

[0019] Figure 1 is a diagram of the training system architecture according to an embodiment of the present application;

[0020] Figure 2 is a schematic diagram of a gripping device according to an embodiment of the present application;

[0021] Figure 3Schematic diagram of a volleyball training process according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0023] In the following detailed description, reference may be made to the various specification drawings that are part of the present application and are used to illustrate specific embodiments of the present application. In the accompanying drawings, similar reference numerals describe substantially similar components in different figures. The various specific embodiments of the present application are described below in sufficient detail so that a person of ordinary skill in the art with relevant knowledge and skills in the art can implement the technical solutions of the present application. It should be understood that other embodiments may also be used or structural, logical or electrical changes may be made to the embodiments of the present application.

[0024] The technologies, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods and devices shall be considered as part of the specification. The lines between the units in the drawings are only for the convenience of explanation, indicating that at least the units at both ends of the lines are communicating with each other, and are not intended to limit the unconnected units from being unable to communicate. In addition, the number of lines between two units is intended to indicate at least the number of signals involved in the communication between the two units or at least the output terminals, and is not configured to limit the two units to only communicate with each other through the signals shown in the figure.

[0025] Figure 1 is a diagram of a training system architecture according to an embodiment of the present application, Figure 2 Schematic diagram of a gripping device according to an embodiment of the present application.

[0026] like Figure 1 As shown, the training system includes a processing device 11 and a gripping device 12i, wherein the processing device 11 is configured to send training information to the gripping device 12 in response to the training mode, and the training information includes but is not limited to position information and ball throwing information; the gripping device 12 includes a drone 12A and a gripper 12B, the drone 12A flies to a specified position in response to the training information, and the gripper 12B throws the ball at a specified ball throwing time in response to the training information to achieve training. It can be understood that the gripping device 12 will provide feedback information to the processing device, such as impact data, flight data, etc.

[0027] In one embodiment, the gripper 12B may be a 3-claw or 6-claw structure, and a moving part 12C is also provided at the bottom of the gripper, which can throw the volleyball at a specified speed and / or angle according to training information.

[0028] In one embodiment, the processing device 11 includes multiple control systems. For example, the gripper control system controls the release of the volleyball according to the flight altitude of the drone, or controls the release of the volleyball according to the arbitrary trajectory of the drone, so that the gripper 12B releases the volleyball at the desired landing point; the drone altitude and trajectory control system 112 realizes the multi-point release function of a single-point drone and a drone formation according to user needs; the artificial intelligence learning system 113 can collect and AI-process volleyball training data based on the historical image data and position and altitude data of the drone load camera, forming a record and analysis of the training history of a single athlete, so as to better guide the athlete's training.

[0029] In one embodiment, the processing device 11 determines the communication protocol with the gripping device 12 based on the communication quality and / or the transmission data type, so that the communication mode can be flexibly adjusted. In one embodiment, the communication protocol includes 4G, 5G or OcuSync.

[0030] It is understandable that the user can implement multiple gripping devices 12 for training through programming, that is, through different points, different angles, different heights, different release forces, etc., it is possible to effectively train athletes' ball pads (front two-handed pads, step pads, side pads, low-post pads, back pads with one hand, forward pads, tumbling pads, diving pads and blocking), receiving serves (spinning balls, high lobs), blocking (single-person blocking, double-person blocking), receiving spikes and passing, and other comprehensive techniques.

[0031] The following uses volleyball as an example to explain this application in combination with different working modes.

[0032] Working mode 1:

[0033] The gripping device 12 moves to different heights, and the athlete jumps up to perform spiking training. For the main attacker, the net mouth ball training is performed at different positions and heights. The gripping device 12 can be arranged in a circular mode to reach the specified position to release the volleyball, and after release, it can quickly rise and fly away (for example, within 1 second) to avoid being hit by the volleyball. In this embodiment, there are three variables that can be set for the release position, namely, the height at the time of release, the distance from the net, and the distance between the vertical projection of the release position on the net plane and the extension line of the net poles at both ends.

[0034] Working mode 2:

[0035] The gripping device 12 trajectory setting, different ball drop points for ball rescue training. The gripping device 12 formation mode can be used to train single or multiple athletes to save the ball. After the drone load gripper grabs the volleyball, it quickly flies to the designated position to drop the ball (usually at a lower position) to train the athlete's reaction speed in saving the ball.

[0036] Working mode three:

[0037] The gripping devices 12 are arranged in an array, and the balls are randomly dropped to train the reaction sensitivity. Four gripping devices 12 can be used to train a single athlete, cyclically grabbing the volleyball, and randomly dropping the ball near the single athlete. The angle and strength of the gripper dropping the ball can be adjusted as needed to train the athlete's reaction sensitivity.

[0038] Figure 3 Schematic diagram of a volleyball training process according to an embodiment of the present application.

[0039] First, the processing device generates training information (step S301), which may include information related to volleyball training, such as the designated position of the drone, the departure time, the angle and speed of the ball throwing, etc. Then, one or more gripping devices 12 move to the designated position based on the training information (step S302), waiting for the user to trigger the training. When the user triggers the training by gesture or remote control, the gripping device 12 throws the ball at the designated angle and speed (step S303). After the user completes this round of training, the gripping device 12 will grip the ball hit by the user and return to the designated position, such as the starting point of this round of training, or a new position specified by the user.

[0040] Through programmable drones and drone formations, single-point and multi-point volleyball training can be achieved; the drone load gripper control system can control the release of the volleyball according to the drone's flight altitude / according to the drone's arbitrary trajectory; the drone altitude and trajectory control system can realize the multi-point release function of single-point drones and drone formations. In addition, through the learning system, volleyball training data is collected and AI processed based on the historical image data, position, and altitude data of the drone load camera, which can form a record and analysis of the training history of individual athletes, thereby better guiding athlete training.

[0041] The above embodiments are only used to illustrate the present application, and are not intended to limit the present application. Ordinary technicians in the relevant technical field may make various changes and modifications without departing from the scope of the present application. Therefore, all equivalent technical solutions should also fall within the scope disclosed in the present application.

Claims

1. A sports training system based on drone, characterized in that: include: A plurality of gripping devices, each of the gripping devices comprising a drone and a gripper, wherein a top of the gripper is fixedly connected to a bottom of the drone; The processing device is communicatively connected with the gripping device and is configured to transmit training information to the gripping device so that the gripping device moves to a target position and throws an object in a specified manner, wherein the training information includes position information and release information.

2. The sports training system based on drone according to claim 1, characterized in that: The gripping device is configured to control the gripper to throw the object according to the flight altitude of the drone in response to the training information, or to throw the object according to the flight trajectory of the drone.

3. The sports training system based on drone according to claim 2, characterized in that: The gripping devices are configured to respond to the training information so that a plurality of the gripping devices throw the object at a plurality of locations.

4. The sports training system based on drone according to claim 3, characterized in that: The gripping device also includes a camera module for acquiring image data of the drone during flight and compressing the image data at a specified compression ratio.

5. The sports training system based on drone according to claim 4, characterized in that: The processing device is also configured to perform training based on the image data, the flight data of the drone and the training characteristics of the user to generate a motion training model.

6. The sports training system based on drone according to claim 1, characterized in that: The plurality of gripping devices perform the following actions based on the training information: A plurality of the gripping devices arrive at a designated position in a group to release the object, and after the release, fly away within a first threshold time, wherein the training information includes the release height, the distance from the net, and the distance between the vertical projection of the release position on the plane of the net and the extension lines of the net poles at both ends.

7. The sports training system based on drone according to claim 6, characterized in that: The gripping device adjusts the angle and speed at which the gripper throws the object based on the training information.

8. The sports training system based on drone according to claim 7, characterized in that: The gripping device also includes: A moving component is disposed on the top of the gripper and is configured to throw the object at a specified angle and speed under the influence of the training information.

9. The sports training system based on drone according to claim 1, characterized in that: The processing device determines a communication protocol with the gripping device based on the communication quality and / or the type of transmission data.

10. The sports training system based on drone according to claim 2, characterized in that: The communication protocols include 4G, 5G or OcuSync.

Citation Information

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