Bicycle training evaluation platform and system based on digital twin venue

Abstract

The invention relates to the technical field of bicycle training evaluation, in particular to a bicycle training evaluation platform based on a digital twin venue and a system thereof, comprising a display, a chain type bicycle placed in front of the display, a bicycle trainer arranged on a rear wheel of the chain type bicycle, a core controller is fixedly installed in the middle of a handlebar of the chain type bicycle, a heart rate monitor is fixedly installed on the left side of the handlebar of the chain type bicycle, and a magnetic Hall sensor is fixedly installed at the position, close to a rear wheel of the chain type bicycle, of the bicycle trainer. The core controller comprises a core control board. According to the training evaluation platform and system, integrated intelligent sports equipment is introduced, various motion sensors and the virtual reality technology are combined, all-around motion experience is provided, and a user can monitor body data in real time through the equipment and obtain personalized motion guidance and feedback.

Description

Technical Field

[0001] The present invention relates to the technical field of bicycle training evaluation, and specifically provides a digital twin-based track bicycle training evaluation platform and its system. Background Art

[0002] Track cycling is a cycling sport carried out on a dedicated track and is listed as an Olympic event. The bicycles used in track cycling competitions are only equipped with single-speed gears, no brakes, and are installed with fixed sprockets, solely for the pursuit of faster speeds.

[0003] However, during the current track cycling training, it is necessary to go to a dedicated track cycling training venue for training. Moreover, track cycling training resources are extremely scarce, and training funds are also relatively expensive. Traditional training methods are often restricted by conditions such as venues and equipment, making it difficult to meet the training needs of large-scale and high efficiency. Summary of the Invention

[0004] The purpose of the present invention is to provide a digital twin-based track bicycle training evaluation platform and its system to solve the problem of more restrictions in traditional training methods proposed in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A digital twin-based track bicycle training evaluation platform and its system, including:

[0006] A display, in front of which a chain bicycle is placed. A bicycle trainer is provided at the rear wheel of the chain bicycle. A core controller is fixedly installed in the middle of the handlebars of the chain bicycle. A heart rate monitor is fixedly installed on the left side of the handlebars of the chain bicycle. A magnetic Hall sensor is fixedly installed on the bicycle trainer near the rear wheel of the chain bicycle.

[0007] The core controller includes a core control board, and an ESP32 development board and a WT9011DCL gyroscope module are provided below the core control board.

[0008] Preferably, the output signal of the heart rate monitor is connected to the GPIO5 pin of the ESP32 development board through a wire.

[0009] Preferably, the magnetic Hall sensor is connected to the GPIO6 pin of the ESP32 development board through a wire.

[0010] Preferably, the ESP32 development board and the WT9011DCL gyroscope module establish a wireless communication link through Bluetooth low energy technology.

[0011] Preferably, the ESP32 development board establishes communication with UE5 through the MQTT protocol, and UE5 sends parameters to be stored in MySQL.

[0012] Preferably, UE5 stores data in the storage module through a C++ language communication script.

[0013] Preferably, the storage module implements the analysis module through the Python language.

[0014] Compared with the prior art, the beneficial effects of the present invention are:

[0015] (1) The training and evaluation platform and its system of the present invention introduce an integrated intelligent sports device, which combines a variety of motion sensors and virtual reality technology to provide a full range of sports experiences. Users can monitor their body data in real time through the device and obtain personalized sports guidance and feedback.

[0016] (2) The training and evaluation platform and its system of the present invention utilize big data analysis and artificial intelligence technology. The project can conduct in-depth analysis based on the user's sports data and provide scientific sports suggestions and health management plans, thereby improving the user's sports effect and health level.

[0017] (3) The project platform of the training and evaluation platform and its system of the present invention has a built-in social function. Users can share their sports achievements with friends and other sports enthusiasts, participate in online sports competitions and challenges, and enhance user stickiness and interactivity.

[0018] (4) The project of the training and evaluation platform and its system of the present invention provides a variety of customizable sports plans. Users can choose suitable sports plans according to their own needs to meet the needs of users of different ages, genders, and health conditions.

[0019] (5) The project of the training and evaluation platform and its system of the present invention supports a variety of devices and platforms, including smartphones, tablets, and smart TVs, etc., enabling users to perform sports and health management anytime, anywhere. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the infrastructure location distribution of the present invention;

[0021] Figure 2 It is an exploded view of the core controller of the present invention;

[0022] Figure 3 It is a system architecture diagram of the present invention;

[0023] Figure 4 It is an overall software design diagram of the present invention;

[0024] Figure 5 It is a virtual map design flow chart of the present invention;

[0025] Figure 6 This is the overall UI design diagram of the present invention;

[0026] Figure 7 This is the login design flow chart of the present invention;

[0027] Figure 8 This is the data acquisition and analysis flow chart of the present invention.

[0028] In the figure: 01, display; 02, chain bicycle; 03, bicycle trainer; 04, core controller; 41, core control board; 42, ESP32 development board; 43, WT9011DCL gyroscope module; 05, heart rate monitor; 06, magnetic Hall sensor. Specific embodiments

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] Please refer to Figure 1-8 , an embodiment provided by the present invention: a digital twin-based on-site bicycle training evaluation platform and its system.

[0031] It includes: a display 01, the display 01 is used to intuitively present the real-time physiological data and motion state of the rider. A chain bicycle 02 is placed in front of the display 01. A bicycle trainer 03 is provided at the rear wheel of the chain bicycle 02. A core controller 04 is fixedly installed in the middle of the handlebar of the chain bicycle 02. The core controller 04 is responsible for collecting the handlebar steering angle and attitude data and performing corresponding data processing and control tasks. A heart rate monitor 05 is fixedly installed on the left side of the handlebar of the chain bicycle 02 to realize the real-time collection of heart rate data. A magnetic Hall sensor 06 is fixedly installed on the bicycle trainer 03 near the rear wheel of the chain bicycle 02 for detecting the rotation of the wheel and generating corresponding pulse signals;

[0032] The core controller 04 includes a core control board 41. An ESP32 development board 42 and a WT9011DCL gyroscope module 43 are provided below the core control board 41. The core controller 04 is responsible for collecting the handlebar steering angle and attitude data and performing corresponding data processing and control tasks.

[0033] Further, the output signal of the heart rate monitor 05 is connected to the GPIO5 pin of the ESP32 development board 42 through a wire to achieve real-time acquisition of heart rate data.

[0034] Further, the magnetic Hall sensor 06 is connected to the GPIO6 pin of the ESP32 development board 42 through a wire, which is used to detect the rotation of the wheel and generate corresponding pulse signals.

[0035] Further, the ESP32 development board 42 and the WT9011DCL gyroscope module 43 establish a wireless communication link through Bluetooth Low Energy technology to ensure real-time transmission and processing of attitude data. The core controller 04 is responsible for collecting the steering angle and attitude data of the handlebar and performing corresponding data processing and control tasks.

[0036] Further, the ESP32 development board 42 communicates with the UE5 through the MQTT protocol. The UE5 sends parameters to the MySQL storage. The UE5 communication system is designed based on C++. Its function is to subscribe to MQTT sensor parameters and send them to the storage module. Based on the UE5, we designed a virtual bicycle and a UI display module. Through the UE5 blueprint, the virtual bicycle and the UI can real-time feedback parameters such as speed, angle, and heart rate transmitted from the sensors, and calculate detailed parameters such as cadence, calorie consumption, average speed, and average heart rate through height and weight.

[0037] Further, the UE5 stores data in the storage module through a C++ language communication script. After successful login, it enters the main interface, which mainly consists of a display box and six function buttons. You can view personal information, start the game, equipment management, training records, AI mapping, and exit functions inside. After clicking the start game, a venue selection interface and introduction will appear, and you can select the venue and training environment time you want to train and start training.

[0038] Further, the storage module implements an analysis module through the Python language. After the data is saved, Python is used for preprocessing, cleaning, and screening the original data. After preprocessing, data visualization processing starts to display the data relationship. Finally, based on the collected, cleaned, and visualized data, in-depth analysis is carried out to discover patterns and trends, and valuable opinions and suggestions are provided to improve the user's cycling efficiency and health status.

[0039] Working principle: When in use, first power on all devices. The player inputs the account and password to log in to the game, rides on the chain bicycle 02. After starting to ride, the riding state of each second will be stored in the database. Python obtains data from MySQL and preprocesses the data to form a visualization chart. The above is the entire working principle of the present invention.

[0040] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. A digital twin-based track cycling training and evaluation platform and its system, characterized in that, Including: A display (01), in front of which there is a chain bicycle (02). A bicycle trainer (03) is provided at the rear wheel of the chain bicycle (02). A core controller (04) is fixedly installed in the middle of the handlebars of the chain bicycle (02). A heart rate monitor (05) is fixedly installed on the left side of the handlebars of the chain bicycle (02). A magnetic Hall sensor (06) is fixedly installed on the bicycle trainer (03) near the rear wheel of the chain bicycle (02). The core controller (04) includes a core control board (41), and an ESP32 development board (42) and a WT9011DCL gyroscope module (43) are provided below the core control board (41).

2. The a digital twin-based venue bicycle training and evaluation platform and system according to claim 1, characterized in that: The output signal of the heart rate monitor (05) is connected to the GPIO5 pin of the ESP32 development board (42) through a wire.

3. A digital twin-based venue bicycle training and evaluation platform and system according to claim 1, characterized in that: The magnetic Hall sensor (06) is connected to the GPIO6 pin of the ESP32 development board (42) through a wire.

4. A digital twin-based venue bicycle training and evaluation platform and system according to claim 1, characterized in that: The ESP32 development board (42) and the WT9011DCL gyroscope module (43) establish a wireless communication link through Bluetooth Low Energy technology.

5. The a digital twin-based venue bicycle training evaluation platform and system according to claim 2, characterized in that: The ESP32 development board (42) communicates with UE5 through the MQTT protocol, and UE5 sends parameters to MySQL for storage.

6. The a digital twin venue bicycle training and evaluation platform and its system according to claim 5, characterized in that: UE5 stores data in the storage module through a C++ language communication script.

7. The a digital twin-based track cycling training evaluation platform and system according to claim 6, wherein: The storage module implements an analysis module through the Python language.

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