Intelligent system for field bicycles

Abstract

The invention relates to the technical field of intelligent monitoring systems, in particular to a field bicycle intelligent system, which comprises a plurality of high-definition industrial cameras, a plurality of high-definition industrial cameras, a plurality of high-definition industrial cameras and a plurality of high-definition industrial cameras, the panoramic camera is fixedly arranged in the center above the racing track; the timing host is fixedly arranged at a timing point of the racing track; each high-definition industrial camera is electrically connected with the edge processor; the panoramic camera is electrically connected with the panoramic graphics processor; and the timing host, the edge processor and the panoramic graphics processor are respectively communicated with the central cluster depth processing system. The complete riding track of each athlete can be accurately captured through the athlete acquisition terminal. And in combination with riding speed per hour and acting data, the difference between the athlete and the top athlete in the world is found out at the key point, and the core ability of the athletes is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring systems, and in particular to an intelligent system for track cycling. Background Art

[0002] Track cycling is a short-distance event. Its characteristics include a short race distance (500 meters) and a short time (approximately 34 seconds), with speed being the primary objective. To improve speed, a crucial aspect is that coaches must have a clear understanding of the athlete's actual competitive state throughout the entire race. This includes the start preparation, the start process, the race itself, and the sprint phase. Only with a real-time understanding of the athlete's performance and energy expenditure at each stage can coaches tailor training plans and schedules, accurately allocate training intensity, and scientifically guide athletes to determine the optimal timing for exerting force. Summary of the Invention

[0003] This invention provides a track cycling intelligent system that uses an athlete data collection terminal to accurately capture each athlete's complete cycling trajectory. Combining cycling speed and work performance data, it identifies key differences between our athletes and the world's top athletes, improving their core abilities.

[0004] In order to achieve the above-mentioned objectives, the present invention provides the following technical solutions: a track cycling intelligent system, comprising: a high-definition industrial camera, wherein the high-definition industrial cameras are set in multiple locations and are arranged at intervals around the edge of the track; a panoramic camera, wherein the panoramic camera is fixedly set in the center above the track; a timing host, wherein the timing host is fixedly set at the timing point of the track; an edge processor, wherein each of the high-definition industrial cameras is electrically connected to the edge processor respectively; a panoramic graphics processor, wherein the panoramic camera is electrically connected to the panoramic graphics processor; and a central cluster deep processing system, wherein the timing host, the edge processor and the panoramic graphics processor respectively communicate with the central cluster deep processing system.

[0005] Preferably, it further comprises a central large screen, which is electrically connected to the central cluster deep processing system via a large screen support system.

[0006] Preferably, it also includes an SRM cycling power terminal, which is set on the bicycle, and a power controller adapted to the SRM cycling power terminal is provided on the track, and the power controller is electrically connected to the central cluster deep processing system.

[0007] Preferably, it also includes a switch, and the central cluster deep processing system, the edge processor and the panoramic graphics processor are electrically connected to the switch through an optoelectronic network respectively; it also includes a router, and the switch, the large screen support system and the timing host are electrically connected to the router respectively.

[0008] Preferably, it also includes a cloud platform that communicates with the router, and an access terminal that communicates with the cloud platform.

[0009] Preferably, it further includes a first monitor and a second monitor, wherein the first monitor is electrically connected to the central cluster depth processing system through the switch, and the second monitor is electrically connected to the panoramic graphics processor.

[0010] The present invention provides the following benefits: it can serve application-level tasks during competitions and facilitate real-time viewing on large-screen clients within a local area network. It screens participating athletes based on facial features, number plates, and other personal features; identifies bicycles using a custom-built model; and, through the deployment of multiple collectors, provides 360-degree panoramic coverage, offering a panoramic view of the entire live event, even allowing for viewing of the performance from any angle. It also accurately processes the athlete's cycling speed and trajectory. Finally, through point cloud computing, the resulting image is presented in a real-time preview. Algorithm optimization addresses issues such as varying camera angles, lighting variations, and focal length calibration, preventing glitches, image blur, and character size fluctuations during viewing. The 3D modeling processing system allows for a more realistic replay of the competition, accurately replaying cycling data, trajectories, and key points. It also estimates the actual cycling power, heart rate, and physiological indicators of athletes without power meters, enabling athletes to continuously learn and train through the SRM ergoMeter. This helps correct athletes' shortcomings, uncover their potential, and match them with their strengths. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0012] Figure 1 This is a schematic diagram of the track deployment of the present invention;

[0013] Figure 2 Schematic diagram of the system deployment structure of the present invention.

[0014] In the figure: 1. Track; 2. High-definition industrial camera; 3. Panoramic camera; 4. Timing host; 5. SRM cycling power terminal; 6. Power controller; 7. Central large screen; 8. Central cluster deep processing system; 9. Edge processor; 10. Panoramic graphics processor; 11. Switch; 12. Router; 13. Cloud platform; 14. First monitor; 15. Second monitor. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solution of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0016] according to Figure 1 、 Figure 2 As shown, a track cycling intelligent system includes: a high-definition industrial camera 2, which is set in multiple locations and spaced around the edge of a track 1; a panoramic camera 3, which is fixedly set in the center above the track 1; a timing host 4, which is fixedly set at the timing point of the track 1; an edge processor 9, to which each of the high-definition industrial cameras 2 is electrically connected; a panoramic graphics processor 10, to which the panoramic camera 3 is electrically connected; and a central cluster depth processing system 8, to which the timing host 4, the edge processor 9 and the panoramic graphics processor 10 respectively communicate.

[0017] In the above setup, the central cluster deep processing system 8 primarily serves application-level tasks during competitions: it houses a neural network application, a binocular acquisition system engine, algorithms, transcoding, 3D modeling, and a big data engine. It also provides real-time viewing and review capabilities for large-screen clients within the local area network. Using algorithms, it accurately analyzes cycling speed, instantaneous speed at key points, cycling trajectory, and work output. For athletes without power meters, it can also identify speed, distance, and trajectory data for work output. Utilizing edge algorithms, cycling speed can be accurately determined to 0.01 seconds; cycling trajectory can be accurately determined to within 1cm; and skeletal posture can be accurately identified at 108 joints, including precise changes. This allows for a constant overview of each athlete's work output, strengths, and weaknesses. By combining cycling trajectory data with work output data, athletes can correct weaknesses and improve their abilities.

[0018] It also includes a central large screen 7, which is electrically connected to the central cluster deep processing system 8 through a large screen support system.

[0019] It also includes an SRM cycling power terminal 5, which is set on a bicycle, and a power controller 6 adapted to the SRM cycling power terminal 5 is provided on the track 1, and the power controller 6 is electrically connected to the central cluster deep processing system 8.

[0020] In this setup, the central cluster deep processing system 8 reads data from the SRM cycling power terminal 5 via the power controller 6 and, in conjunction with the edge processor 9, analyzes and captures the athlete's instantaneous speed and key acceleration points, movement posture, cycling power, and other athletic performance. Deep algorithms and big data are then used to analyze the athlete's key points, acceleration points, work data, physical fitness, and other aspects, identifying any deficiencies or even fatal weaknesses. Furthermore, the system compares the athlete's performance with that of top international athletes. This helps identify key areas and develop technical and tactical strategies to improve the athlete's core abilities. Ultimately, through targeted data collection and analysis, a comprehensive training plan is developed.

[0021] The system further includes a switch 11, to which the central cluster deep processing system 8, the edge processor 9, and the panoramic graphics processor 10 are electrically connected via an optical network. The system further includes a router 12, to which the switch 11, the large-screen support system, and the timing host 4 are electrically connected. The system further includes a cloud platform 13 in communication with the router 12, and an access terminal in communication with the cloud platform 13.

[0022] The access terminal in this setting can be a computer, tablet, mobile phone and other devices, and the instantaneous speed and sports performance of the athletes on the scene can be viewed synchronously through the cloud platform 13, so that the sports trajectory can be seen at a glance. At the same time, the database in the APP-oriented cloud platform 13 in the access terminal can be used to easily review each event through video playback. At the same time, with the video editing tools in the APP, it is easy to correct the riding trajectory, speed-up points, work problems, and give suggestions and feedback. Therefore, based on the cloud platform 13, training work can be guided and completed anytime and anywhere.

[0023] The system further includes a first monitor 14 and a second monitor 15. The first monitor 14 is electrically connected to the central cluster depth processing system 8 via the switch 11, and the second monitor 15 is electrically connected to the panoramic graphics processor 10. The first monitor 14 and the second monitor 15 are located in the office, allowing staff to monitor the entire track 1 and each section of the track 1 through the first monitor 14 and the second monitor 15, respectively.

[0024] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A track cycling intelligent system, characterized in that: include: High-definition industrial cameras (2), wherein the high-definition industrial cameras (2) are arranged in plurality and spaced apart around the edge of the racetrack (1); A panoramic camera (3), the panoramic camera (3) being fixedly arranged at the center above the racetrack (1); A timing host (4), the timing host (4) being fixedly arranged at a timing point of the track (1); An edge processor (9), each of the high-definition industrial cameras (2) being electrically connected to the edge processor (9); A panoramic graphics processor (10), wherein the panoramic camera (3) is electrically connected to the panoramic graphics processor (10); The central cluster depth processing system (8), the timing host (4), the edge processor (9) and the panoramic graphics processor (10) respectively communicate with the central cluster depth processing system (8).

2. The track cycling intelligent system according to claim 1, characterized in that: It also includes a central large screen (7), which is electrically connected to the central cluster depth processing system (8) through a large screen support system.

3. The track cycling intelligent system according to claim 2, characterized in that: The invention also includes an SRM cycling power terminal (5), wherein the SRM cycling power terminal (5) is arranged on a bicycle, and a power controller (6) adapted to the SRM cycling power terminal (5) is provided on the track (1), and the power controller (6) is electrically connected to the central cluster deep processing system (8).

4. The track cycling intelligent system according to claim 3, characterized in that: The system further comprises a switch (11), wherein the central cluster depth processing system (8), the edge processor (9) and the panoramic graphics processor (10) are electrically connected to the switch (11) through an optical-electrical network; and a router (12), wherein the switch (11), the large-screen support system and the timing host (4) are electrically connected to the router (12).

5. The track cycling intelligent system according to claim 4, characterized in that: It also includes a cloud platform (13) communicating with the router (12), and an access terminal communicating with the cloud platform (13).

6. The track cycling intelligent system according to claim 4, characterized in that: The system further comprises a first monitor (14) and a second monitor (15), wherein the first monitor (14) is electrically connected to the central cluster depth processing system (8) via the switch (11), and the second monitor (15) is electrically connected to the panoramic graphics processor (10).

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