Intelligent training apparatus for sporting events

Abstract

The invention relates to the field of sports equipment informatization, and discloses an intelligent training apparatus for sports events, which comprises a bottom plate, a support column is fixedly connected to the outer wall of the left side of the bottom plate, a support shaft is fixedly connected to the upper surface of the support column, a control panel is slidably connected to the outer wall of the support shaft, and a handle is fixedly connected to the interior of the support shaft; the lower surface of the side block is fixedly connected to the upper surface of the side plate, the upper surface of the side block is fixedly connected with a protective belt, the inner wall of the right side of the bottom plate is fixedly connected with a supporting plate, the outer wall of the supporting plate is rotatably connected with an electric push rod, and the output end of the electric push rod is fixedly connected with a storage plate. By means of the automatic overturning storage function, the treadmill can be vertically stored when the user does not use the treadmill, space is greatly saved, it is ensured that after the treadmill is used, the treadmill can be easily stored without occupying too much space, the storage process is automatic, and tedious manual operation is not needed.

Description

Technical Field

[0001] The present invention relates to the field of sports equipment informatization, and in particular to an intelligent training equipment for sports events. Background Art

[0002] As fitness and sports become increasingly important in people's daily lives, more and more people are beginning to pay attention to how to conduct sports training scientifically, efficiently and safely. At the same time, the development of intelligent technology has gradually led to the development of sports equipment in the direction of intelligence and personalization. Although traditional sports equipment such as treadmills and spinning bikes can provide a certain amount of exercise load, they still have many limitations in terms of resistance adjustment, real-time feedback and sports posture monitoring. Users need to manually adjust the speed and slope of the equipment, and lack real-time monitoring and feedback of the user's physiological state and sports posture, resulting in insufficient scientificity and safety of training.

[0003] In a home or gym environment, traditional exercise equipment usually takes up a large space, especially large equipment such as treadmills, which still occupy floor space when not in use, reducing the efficiency of space utilization. For small-sized home users or small gyms, this space waste is an urgent problem that needs to be solved. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides an intelligent training device for sports, which solves the problem that traditional sports equipment usually occupies a large space.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent training device for sports, comprising:

[0006] A bottom plate, a left outer wall of the bottom plate is fixedly connected to a pillar, an upper surface of the pillar is fixedly connected to a support shaft, an outer wall of the support shaft is slidably connected to a control panel, and an interior of the support shaft is fixedly connected to a handle;

[0007] A side plate, wherein the outer wall of the side plate is rotatably connected to the inner wall of the bottom plate, the outer wall of the side plate is fixedly connected to a support plate, the inner wall of the support plate is fixedly connected to a motor, the output end of the motor is fixedly connected to a turntable, the outer wall of the turntable is provided with a transmission belt, the inner wall of the transmission belt is provided with a rotating shaft, the outer wall of the rotating shaft is provided with a running belt, and the upper surface of the support plate is fixedly connected to a protective shell;

[0008] A slider, wherein the interior of the slider is rotatably connected to the outer wall of the support plate, and the outer wall of the slider is slidably connected to the interior of the bottom plate;

[0009] A side block, wherein the lower surface of the side block is fixedly connected to the upper surface of the side plate, the upper surface of the side block is fixedly connected to a protective strip, the right inner wall of the bottom plate is fixedly connected to a support plate, the outer wall of the support plate is rotatably connected to an electric push rod, the output end of the electric push rod is fixedly connected to a storage plate, and the outer wall of the storage plate is fixedly connected to the middle inner wall of the side plate;

[0010] A plastic card slot, wherein the outer wall of the plastic card slot is fixedly connected to the outer wall of the side plate, a magnet hole is opened inside the plastic card slot, a magnet is arranged inside the plastic card slot, the outer wall of the magnet is arranged inside the magnet hole, and a baffle strip is arranged inside the plastic card slot.

[0011] Preferably, a first leg is fixedly connected to the lower surface of the bottom plate, and a second leg is fixedly connected to the lower surface of the side plate.

[0012] Preferably, an intelligent resistance adjustment system for an intelligent training device for sports events comprises:

[0013] Sensor Module:

[0014] Heart rate sensor: embedded in the treadmill handle, the sensor monitors the user's pulse fluctuations through optical sensing technology and provides real-time feedback to the control system;

[0015] Speed ​​sensor: A sensor built into the bottom of the treadmill that monitors the actual speed of the belt so that the speed can be adjusted to match the user's cadence.

[0016] Cadence sensor: The treadmill's accelerometer collects cadence to help the system optimize the user's stride and rhythm.

[0017] Incline angle sensor: used to monitor the slope angle of the treadmill and provide appropriate resistance adjustment under different slope conditions;

[0018] Posture sensor: monitors the user's posture and stride through gyroscopes and accelerometers to determine whether the user's running movements are standard and avoid sports injuries caused by incorrect movements;

[0019] Data Analysis Module:

[0020] Real-time data processing unit: It uses embedded processors and AI algorithms to analyze the data collected by sensors in real time. It evaluates the user's exercise status, including fatigue and training intensity, based on the user's heart rate, cadence and speed data;

[0021] Resistance adjustment algorithm unit: dynamically adjusts the treadmill's resistance based on the analyzed data, including slope and speed adjustment. The algorithm takes into account the user's physiological state and pace, allowing the user to train at the optimal intensity;

[0022] Adaptive learning algorithm unit: The system has adaptive capabilities. With repeated use by users, the system can optimize the adjustment logic through big data accumulation and provide more personalized training plans.

[0023] Control Module:

[0024] Electric push rod: located at the rear bracket of the treadmill, used to automatically adjust the slope of the treadmill according to system instructions, providing uphill or downhill mode, increasing or reducing exercise load;

[0025] Motor: The drive motor connected to the running belt controls the speed of the treadmill and automatically adjusts the speed according to the user's cadence and heart rate so that the pace is consistent with the load;

[0026] Resistance feedback unit: monitors the friction of the running belt and the feedback of the motor to ensure the smoothness of resistance adjustment;

[0027] Flip control module:

[0028] Flip button / panel control unit: A flip button is integrated on the treadmill control panel. When the user presses the button, the system controls the motor to start the flip operation.

[0029] Mobile App Control Unit: Users can remotely control the treadmill's flipping through a mobile phone app. The app connects to the treadmill via Bluetooth or Wi-Fi and sends commands to the electric actuator.

[0030] Automatic flip detection unit: automatically enters the flip prompt mode through the system prompt after the user leaves the detection and training ends. The system will automatically sense whether the user has not used the device for a long time and ask whether to perform the flip operation;

[0031] Safety Lock Unit: When the treadmill is flipped to the vertical position, the lock is activated to prevent the treadmill from accidentally flipping back without user intervention.

[0032] Preferably, the construction of the sensor module network includes:

[0033] The user's motion data is collected in real time through a variety of sensors, including heart rate, cadence, speed, posture and slope information. The types of sensors mainly include:

[0034] Optical heart rate sensor: detects the user's pulse fluctuations and estimates the heart rate through changes in light absorption in the blood. The data is updated 5-10 times per second.

[0035] Accelerometer and gyroscope: used to detect the user's pace, cadence and running posture. The accelerometer captures the acceleration changes during movement, while the gyroscope is used to detect posture and angle changes.

[0036] Speed ​​sensor: The speed measurement module is embedded in the driving motor of the running belt to detect the actual running speed.

[0037] Preferably, the underlying logic of the data analysis module includes:

[0038] Data collection and real-time transmission:

[0039] Sensors collect data in real time through wired or wireless protocols, including I 2 C or SPI protocol, transmitted to the central processing unit of the treadmill, and the transmission adopts low-latency transmission technology;

[0040] AI and Adaptive Learning Algorithm Unit:

[0041] AI algorithm model: The system uses pre-trained AI models, including neural network models based on decision trees, support vector machines, or deep learning, to analyze the collected user data and predict the user's exercise status in real time, including fatigue, exercise intensity, and cardiopulmonary load;

[0042] Adaptive adjustment algorithm: Through AI algorithms and historical training data, the system automatically learns the user's training habits and gradually adjusts the algorithm to provide more precise personalized adjustments;

[0043] Real-time response logic: When the user's heart rate or step frequency changes significantly, the data analysis module determines whether the user is in a high-intensity or low-intensity state by matching the parameters of the AI ​​model with the user's current data, and then adjusts the slope and speed of the treadmill. The adjustment amplitude follows the nonlinear response logic to avoid sudden changes in resistance causing discomfort to the user.

[0044] Preferably, the control logic and underlying execution of the control module include:

[0045] The control system uses PID control algorithm to control the electric slope regulator and speed regulator of the treadmill. The PID algorithm is adjusted through real-time feedback to ensure the smoothness of slope and speed regulation.

[0046] Speed ​​control: According to the user's cadence, speed and heart rate data, the system controls the output of the motor through PWM to adjust the speed of the running belt. The speed change is gradually adjusted according to the feedback of the PID algorithm to avoid sudden speed changes;

[0047] Slope control: The slope adjustment uses electric lifting to control the rotation direction and angle of the slope based on the user's fatigue and the decision of the AI ​​model.

[0048] Preferably, the underlying logic of the flip control module includes:

[0049] Control logic:

[0050] The user issues a flip command through the control panel, buttons or mobile app, the signal is transmitted to the main control unit, and the system executes the flip action;

[0051] During the flipping process, the Hall effect sensor senses the flipping angle and position, and the system controls the rotation angle of the flipping motor within a preset range, so that the flipping stops automatically after reaching the specified position;

[0052] Flip-out locking mechanism:

[0053] After the flipping is completed, the locking device is automatically activated to prevent the treadmill from being accidentally restored to the use state under unsuitable circumstances. The locking mechanism is realized by an electromagnetic lock. After receiving the feedback signal that the flipping is completed, the electromagnetic lock is activated to lock the running belt firmly in the vertical position.

[0054] Preferably, it also includes a user interaction module:

[0055] Touch display panel unit:

[0056] Real-time data display: During running, the panel will display key information including the user's heart rate, speed, running time, cadence, and calorie consumption, helping users monitor their exercise status in real time;

[0057] Training mode selection unit: Users can select different training modes on the touch panel, including fat burning mode, interval running and heart rate control;

[0058] Intelligent adjustment feedback unit: When the system automatically adjusts the slope or speed, the panel will display the adjusted value changes in real time to provide users with visual feedback;

[0059] Voice prompt unit:

[0060] Posture correction prompt: The system prompts the user through voice whether he needs to adjust his running posture, including when the stride is incorrect or the body is tilted;

[0061] Exercise progress reminder: During training, the system will inform the user of the current training progress, including the distance completed, training time, and the resistance that needs to be increased or decreased next;

[0062] Mobile App Unit:

[0063] Remote control: Users can control the treadmill's opening, closing, speed adjustment, and slope setting functions through the mobile phone app;

[0064] Training data synchronization unit: All training data of the treadmill will be synchronized to the App in real time. Users can view detailed training reports on their mobile phones and make personalized training plans based on historical data.

[0065] Preferably, the implementation of the user interaction module includes:

[0066] Touch panel and data interface:

[0067] The system uses an ARM-based microcontroller to drive the touch screen. 2 C or SPI interface communicates with the main control unit, and real-time data display is displayed on the screen after being processed by the sensor data stream, providing real-time feedback to the user;

[0068] Mobile Apps and Wireless Communications:

[0069] Users can connect to the mobile app via Bluetooth or Wi-Fi to remotely control the running and flipping of the treadmill. The app communicates with the treadmill via BLE to send commands and receive data. Data synchronization uses WebSocket or RESTAPI technology to upload exercise data to the cloud for user analysis and storage.

[0070] Voice prompt unit:

[0071] The system has a built-in voice recognition and synthesis module, which receives the user's voice commands through the microphone and performs related operations, or provides voice prompts to the user through the speaker. The voice system interacts with the control module so that the user can get prompts when the posture is incorrect;

[0072] Training mode selection unit and feedback:

[0073] Users can select different training modes through the touch panel or App. Each mode will trigger a different AI algorithm to determine the initial settings and adjustment rules of slope and speed.

[0074] Preferably, a method for operating an intelligent resistance adjustment system of an intelligent training device for sports includes the following steps:

[0075] S1. System initialization and user identification

[0076] S1.1: After the user gets on the machine, he activates the treadmill through the touch panel or App, and the system starts initializing;

[0077] S1.2: The heart rate sensor, speed sensor, cadence sensor, and posture sensor start working, and the system enters data collection mode;

[0078] S1.3: The user selects the training mode through the panel. When the automatic mode is selected, the system will set the initial slope and speed based on the user's initial state;

[0079] S2. Real-time collection and transmission of motion data

[0080] S2.1: The treadmill starts, the user starts exercising, and the sensor network collects the user's exercise data in real time, including heart rate, cadence, speed, posture, and slope;

[0081] S2.2: The collected data is transmitted to the central processing unit through the sensor interface;

[0082] S2.3: The data analysis module performs preliminary filtering and cleaning of the data to remove noise data and outliers;

[0083] S3.Data analysis and intelligent response

[0084] S3.1: The AI ​​algorithm is activated to analyze the user's real-time exercise data. The system calculates the user's fatigue status and exercise intensity based on heart rate, speed, cadence and posture data;

[0085] S3.2: Based on the prediction results of the AI ​​model, the system determines whether the slope and speed of the treadmill need to be adjusted. When the user's heart rate is high or fatigue increases, the system automatically lowers the slope or slows down. Otherwise, the system increases the slope or speeds up.

[0086] S3.3: The real-time resistance adjustment system gradually adjusts the power output of the motor according to the PID control algorithm, adjusting the slope and speed, making the adjustment smooth and unobtrusive;

[0087] S4. User motion feedback and adjustment

[0088] S4.1: The system provides real-time feedback on the user's exercise data. The user can view the heart rate, speed, cadence, and calorie consumption information on the display screen. The system provides voice or visual prompts based on these data.

[0089] S4.2: When the user's running posture is incorrect, including too small a stride or leaning forward, the posture sensor will detect the abnormality and the system will prompt the user to correct the posture through voice;

[0090] S4.3: Users can manually adjust the speed and slope of the treadmill at any time through the touch panel or App, and can also continue to use the system's automatic adjustment function;

[0091] S5. Exercise end and automatic flip prompt

[0092] S5.1: After the user completes the training, select the "Stop" button on the panel or App, and the system enters the end of the exercise state;

[0093] S5.2: The system determines whether the user has completely finished exercising based on the decrease in the user's heart rate and the gradual slowing down of the speed, and prompts the user whether to perform the flipping and storage operation;

[0094] S5.3: After the user confirms the flip, the flip control system starts and enters the flip process;

[0095] S6. Flip storage operation

[0096] S6.1: After the flip control system receives the flip command, the electric push rod starts, the driving side block starts to move, and the slider slides inside the bottom plate, finally driving the running belt to gradually flip upwards;

[0097] S6.2: When the treadmill reaches the vertical position of flipping, the electric push rod stops working and the electromagnetic lock starts to lock the treadmill in the vertical position;

[0098] S7. Security and exception handling

[0099] S7.1: During the flipping process, if the system detects an obstacle, the ultrasonic or infrared sensor will sound an alarm and suspend the flipping operation;

[0100] S7.2: After the flip is completed, the system enters the sleep mode, and the electromagnetic lock locks the treadmill in the flip state to prevent accidental start;

[0101] S8.Restoration and unlocking

[0102] S8.1: When the user starts the treadmill again through the panel or App, the system automatically unlocks the electromagnetic lock and activates the electric push rod to restore the treadmill to a horizontal state.

[0103] The present invention provides an intelligent training device for sports. It has the following beneficial effects:

[0104] 1. The present invention allows the user to store the treadmill vertically when not in use through the automatic flipping storage function, which greatly saves space. This function is particularly suitable for home gyms or gyms with smaller spaces, ensuring that after the treadmill is used, the device can be easily stored without taking up too much space, making it convenient for users to use the device in a limited space, and the storage process is automated without the need for cumbersome manual operations.

[0105] 2. The present invention can automatically adjust the slope and speed of the treadmill according to the user's exercise data (such as heart rate, cadence, speed, etc.) in real time through the intelligent resistance adjustment system, thereby providing each user with a personalized training plan. The AI ​​algorithm dynamically adjusts the parameters of the treadmill by analyzing the user's exercise intensity, fatigue and physiological state, ensuring that the intensity of training adapts to the user's physical condition, so that everyone can train under the most appropriate load.

[0106] 3. The present invention combines an adaptive learning algorithm so that the system can learn the user's training habits and optimize the training plan with repeated use. This technology can not only ensure that the intensity and effect of each training are maximized, but also dynamically adjust the training mode and resistance according to the user's progress, making the training more efficient.

[0107] 4. The system of the present invention monitors the user's running posture in real time through the posture sensor, and prompts the user to correct the incorrect running posture through voice, helping the user to avoid sports injuries caused by improper posture. At the same time, the system will automatically reduce the resistance load according to the user's fatigue to prevent muscle or joint injuries caused by overtraining.

[0108] 5. The present invention directly controls the treadmill by adopting a contact plate plus magnetic attraction, pushing away the magnetic baffle strip, so that the contact plate at one end of the magnetic baffle strip is disengaged from the power plug, thereby disconnecting the path and cutting off the power of the treadmill. When it is damaged, only the motor will stop working without generating a false safety signal, thereby causing protection failure. It is not electrically connected to the existing treadmill electronic circuit board, avoiding the problem of redesigning the circuit board and rewriting the program, and only needs to add a manual circuit. Magnetic fixation is used, and the motor circuit can be disconnected with a small force. The magnetic fixation can also prevent it from falling off when the treadmill vibrates at a low frequency. BRIEF DESCRIPTION OF THE DRAWINGS

[0109] Figure 1 A three-dimensional diagram of an intelligent training device for sports according to the present invention;

[0110] Figure 2 It is a schematic diagram of the transmission belt of the present invention;

[0111] Figure 3 A schematic diagram of a baffle strip of the present invention;

[0112] Figure 4 It is a schematic diagram of the plastic card slot of the present invention;

[0113] Figure 5 It is a schematic diagram of the circuit principle of the electric plug of the present invention;

[0114] Figure 6 It is a schematic diagram of the electric push rod of the present invention;

[0115] Figure 7 This is a diagram of the architecture of an intelligent resistance adjustment system for an intelligent training device for sports events of the present invention;

[0116] Figure 8 It is a diagram of the sensor module architecture of the present invention;

[0117] Fig. 9 This is a diagram of the data analysis module architecture of the present invention;

[0118] Fig.10 This is a control module architecture diagram of the present invention;

[0119] Fig.11 This is a diagram of the flip control module architecture of the present invention;

[0120] Fig.12 This is a user interaction module architecture diagram of the present invention;

[0121] Fig.13 The present invention is a circuit diagram of the electrical connection relationship of an intelligent training device for sports.

[0122] Among them, 1. bottom plate; 2. pillar; 3. support shaft; 4. control panel; 5. handle; 6. side panel; 7. support plate; 8. motor; 9. turntable; 10. transmission belt; 11. rotating shaft; 12. running belt; 13. protective shell; 14. slider; 15. side block; 16. protective belt; 17. support plate; 18. electric push rod; 19. first leg; 20. second leg; 21. storage plate; 22. plastic card slot; 23. magnet hole; 24. magnet; 25. baffle strip. DETAILED DESCRIPTION

[0123] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0124] Please see attached Figure 1 - Attachment Fig.13 The embodiment of the present invention provides an intelligent training device for sports, comprising:

[0125] A bottom plate 1, a support 2 is fixedly connected to the left outer wall of the bottom plate 1, a support shaft 3 is fixedly connected to the upper surface of the support shaft 2, a control panel 4 is slidably connected to the outer wall of the support shaft 3, and a handle 5 is fixedly connected to the inside of the support shaft 3;

[0126] Side plate 6, the outer wall of side plate 6 is rotatably connected to the inner wall of bottom plate 1, the outer wall of side plate 6 is fixedly connected to support plate 7, the inner wall of support plate 7 is fixedly connected to motor 8, the output end of motor 8 is fixedly connected to turntable 9, the outer wall of turntable 9 is provided with transmission belt 10, the inner wall of transmission belt 10 is provided with rotating shaft 11, the outer wall of rotating shaft 11 is provided with running belt 12, the upper surface of support plate 7 is fixedly connected to protective shell 13;

[0127] The slider 14, the interior of the slider 14 is rotatably connected to the outer wall of the support plate 7, and the outer wall of the slider 14 is slidably connected to the interior of the bottom plate 1;

[0128] Side block 15, the lower surface of the side block 15 is fixedly connected to the upper surface of the side plate 6, the upper surface of the side block 15 is fixedly connected with a protective belt 16, the right inner wall of the bottom plate 1 is fixedly connected with a support plate 17, the outer wall of the support plate 17 is rotatably connected with an electric push rod 18, the output end of the electric push rod 18 is fixedly connected with a storage plate 21, and the outer wall of the storage plate 21 is fixedly connected to the middle inner wall of the side plate 6;

[0129] A first leg 19 is fixedly connected to the lower surface of the bottom plate 1, and a second leg 20 is fixedly connected to the lower surface of the side plate 6;

[0130] Specifically, the control panel 4 is designed to be able to slide and adjust on the outer wall of the support shaft 3, and the position of the control panel 4 can be adjusted as needed. The slider 14 can slide inside the base plate 1. The electric push rod 18 is used to push the storage plate 21 to drive the side plate 6 to flip the treadmill 12 or adjust the slope of the treadmill 12. The protective belt 16 is used for dust prevention and placement of items, and you can also stand on it in case of emergency when the treadmill 12 fails. The support plate 7 and the protective shell 13 are of non-closed design, and a gap is left on the side for the motor 8 to ventilate.

[0131] A plastic card slot 22, the outer wall of which is fixedly connected to the outer wall of the side plate 6, a magnet hole 23 is provided inside the plastic card slot 22, a magnet 24 is provided inside the plastic card slot 22, the outer wall of the magnet 24 is provided inside the magnet hole 23, and a baffle strip 25 is provided inside the plastic card slot 22;

[0132] Specifically, the treadmill is directly controlled by a contact plate plus magnetic attraction. When any object is brought into the next centimeter position of the treadmill by the running belt 12, the magnetic attraction baffle strip 25 is immediately pushed away, so that the contact plate at one end of the magnetic attraction baffle strip 25 is disengaged from the power plug, thereby disconnecting the path and cutting off the power supply of the treadmill.

[0133] The advantages of using this mechanical safety device are:

[0134] 1. Stable. When it is damaged, it will only stop the motor from working, but will not generate erroneous safety signals, thus causing protection failure;

[0135] 2. Low cost, no electrical connection with the existing treadmill electronic circuit board, avoiding the problem of redesigning the circuit board and rewriting the program, only need to add a hand-connected circuit;

[0136] 3. It is safe and uses magnetic fixation. Only a small force is needed to disconnect the motor circuit, and the magnetic fixation will not fall off when the treadmill vibrates at a low frequency.

[0137] An intelligent resistance adjustment system for an intelligent training device for sports, comprising:

[0138] Sensor Module:

[0139] Heart rate sensor: embedded in the treadmill handle, the sensor monitors the user's pulse fluctuations through optical sensing technology and provides real-time feedback to the control system;

[0140] Optical sensors usually use photoplethysmography (PPG) technology. The sensor calculates pulse frequency by emitting light to the surface of the skin and measuring changes in the absorption of light by the blood. In this way, the system can update heart rate data 5-10 times per second and transmit this data to the treadmill's control unit in real time. The sensor is accurate enough to detect tiny pulse changes to ensure that users get accurate heart rate data feedback during strenuous exercise.

[0141] Speed ​​sensor: A sensor built into the bottom of the treadmill that monitors the actual speed of the belt so that the speed can be adjusted to match the user's cadence.

[0142] The photoelectric encoder installed on the running belt drive wheel detects the position of the gears at each rotation, thereby accurately calculating the running belt speed. This information is used to determine whether the user is running or walking, and is cross-validated with the cadence sensor data to ensure that the user's cadence and treadmill speed are consistent.

[0143] Cadence sensor: The treadmill's accelerometer collects cadence to help the system optimize the user's stride and rhythm.

[0144] The accelerometer measures the impact of each step of the runner against the running belt and calculates the user's cadence. Combined with the data from the speed sensor, the cadence sensor helps the system determine the length of the user's stride and optimizes the resistance adjustment of the treadmill accordingly to ensure the synchronization of the stride and the treadmill speed.

[0145] Incline angle sensor: used to monitor the slope angle of the treadmill and provide appropriate resistance adjustment under different slope conditions;

[0146] The incline sensor is usually a two-axis or three-axis accelerometer that can detect the inclination angle changes of the treadmill in real time when the slope is adjusted. The system adjusts the slope resistance based on this angle information to ensure that the slope adjustment matches the user's training intensity requirements and provides uphill or downhill modes.

[0147] Posture sensor: monitors the user's posture and stride through gyroscopes and accelerometers to determine whether the user's running movements are standard and avoid sports injuries caused by incorrect movements;

[0148] The posture sensor is a combination module that integrates a gyroscope and an accelerometer to detect whether the user's gait and posture are correct. The system analyzes the user's movement trajectory to determine whether there is an incorrect running posture (such as excessive stride or improper tilt), and helps the user correct the posture by adjusting the slope in time or providing voice feedback to reduce the risk of sports injuries.

[0149] Data Analysis Module:

[0150] Real-time data processing unit: It uses embedded processors and AI algorithms to analyze the data collected by sensors in real time. It evaluates the user's exercise status, including fatigue and training intensity, based on the user's heart rate, cadence and speed data;

[0151] The system uses high-performance embedded processors (such as Cortex-M series processors) for data processing and combines machine learning algorithms (such as support vector machines, decision trees, and neural networks) to analyze sensor data. The processing unit can not only evaluate the user's heart rate and speed in real time, but also dynamically adjust the training intensity based on historical data. At the same time, the data is processed through fast signal processing (FIR / IIR filtering) to remove noise signals to ensure the accuracy of data analysis.

[0152] Resistance adjustment algorithm unit: dynamically adjusts the treadmill's resistance based on the analyzed data, including slope and speed adjustment. The algorithm takes into account the user's physiological state and pace, allowing the user to train at the optimal intensity;

[0153] The resistance adjustment algorithm unit uses an adaptive control model to dynamically adjust the slope and speed to keep the user in the "optimal training zone". The algorithm adjusts the treadmill's movement resistance based on the user's heart rate, cadence and fatigue parameters, allowing the user to train under a continuous and moderate load, avoiding excessive fatigue or too light training intensity.

[0154] Adaptive learning algorithm unit: The system has adaptive capabilities. With repeated use by users, the system can optimize the adjustment logic through big data accumulation and provide more personalized training plans.

[0155] Based on the user's historical training data, the system gradually optimizes the resistance adjustment model through machine learning. The data of each training will be stored in the system, and the parameter adjustment logic will be optimized through adaptive learning algorithm units (such as K-means clustering or random forest), so as to provide users with more personalized training suggestions and adjustment plans.

[0156] Control Module:

[0157] Electric push rod: located at the rear bracket of the treadmill, used to automatically adjust the slope of the treadmill according to system instructions, providing uphill or downhill mode, increasing or reducing exercise load;

[0158] Motor: The drive motor connected to the running belt controls the speed of the treadmill and automatically adjusts the speed according to the user's cadence and heart rate so that the pace is consistent with the load;

[0159] The system controls the output voltage of the motor through PWM (pulse width modulation) to adjust the speed of the treadmill to ensure that it is synchronized with the user's actual cadence.

[0160] Resistance feedback unit: monitors the friction of the running belt and the feedback of the motor to ensure the smoothness of resistance adjustment;

[0161] The system monitors the friction between the running belt and the motor through a built-in force sensor. Combined with the load feedback of the motor, the system can dynamically adjust the resistance changes of the running belt to avoid discomfort to the user caused by sudden increases or decreases in resistance.

[0162] Flip control module:

[0163] Flip button / panel control unit: A flip button is integrated on the treadmill control panel. When the user presses the button, the system controls the motor to start the flip operation.

[0164] The flip control button communicates with the central processing unit via CAN bus or serial communication. When the button is triggered, the system will execute the flip command.

[0165] Mobile App Control Unit: Users can remotely control the treadmill's flipping through a mobile phone app. The app connects to the treadmill via Bluetooth or Wi-Fi and sends instructions to the electric actuator.

[0166] The app communicates with the treadmill's main control unit via BLE (Bluetooth Low Energy), allowing users to remotely issue flip commands. The signal is transmitted to the central processing unit via the wireless module, which executes the flip command.

[0167] Automatic flip detection unit: automatically enters the flip prompt mode through the system prompt after the user leaves the detection and training ends. The system will automatically sense whether the user has not used the device for a long time and ask whether to perform the flip operation;

[0168] The system integrates infrared or ultrasonic sensors to sense when the user leaves the treadmill. If it detects that the user has left the treadmill for a long time and the device is not turned off, the system will sound a reminder or display a prompt message, asking the user whether to flip the device over for storage.

[0169] Safety lock unit: When the treadmill is flipped to the vertical position, the lock is activated to prevent the treadmill from accidentally flipping back without user intervention;

[0170] The construction of the sensor module network includes:

[0171] The user's motion data is collected in real time through a variety of sensors, including heart rate, cadence, speed, posture and slope information. The types of sensors mainly include:

[0172] Optical heart rate sensor: detects the user's pulse fluctuations and estimates the heart rate through changes in light absorption in the blood. The data is updated 5-10 times per second.

[0173] Accelerometer and gyroscope: used to detect the user's pace, cadence and running posture. The accelerometer captures the acceleration changes during movement, while the gyroscope is used to detect posture and angle changes.

[0174] Speed ​​sensor: The speed measurement module is embedded in the driving motor of the running belt to detect the actual running speed;

[0175] The underlying logic of the data analysis module includes:

[0176] Data collection and real-time transmission:

[0177] Sensors collect data in real time through wired or wireless protocols, including I 2 C or SPI protocol, transmitted to the central processing unit of the treadmill, and the transmission adopts low-latency transmission technology;

[0178] AI and Adaptive Learning Algorithm Unit:

[0179] AI algorithm model: The system uses pre-trained AI models, including neural network models based on decision trees, support vector machines, or deep learning, to analyze the collected user data and predict the user's exercise status in real time, including fatigue, exercise intensity, and cardiopulmonary load;

[0180] The AI ​​algorithm is trained on the user's historical exercise data to predict the user's exercise status. For example, when the user's heart rate, cadence, and speed change significantly, the AI ​​model can identify the user's fatigue status in real time and adjust the training intensity. After training on a large amount of exercise data, the deep learning neural network can provide each user with a more personalized resistance adjustment strategy.

[0181] Adaptive adjustment algorithm: Through AI algorithms and historical training data, the system automatically learns the user's training habits and gradually adjusts the algorithm to provide more precise personalized adjustments;

[0182] The system continuously optimizes the adaptive adjustment algorithm by analyzing the user's historical training data (such as heart rate, speed, cadence, etc.). The data after each exercise will be fed back to the system and the AI ​​model will be updated to ensure more accurate personalized adjustment for the next exercise. The adaptive learning algorithm unit can dynamically adjust the starting resistance, slope and other parameters of each training after multiple trainings.

[0183] Real-time response logic: When the user's heart rate or cadence changes significantly, the data analysis module determines whether the user is in a high-intensity or low-intensity state by matching the parameters of the AI ​​model with the user's current data, and then adjusts the slope and speed of the treadmill. The adjustment range follows the nonlinear response logic to avoid discomfort to the user caused by sudden changes in resistance.

[0184] The system uses a nonlinear response algorithm when adjusting resistance, which means that the change in slope or speed is dynamically adjusted according to the user's current state. If it detects that the user's heart rate or cadence changes beyond the preset "comfort zone", the system will gradually adjust the speed and slope instead of making abrupt changes. The nonlinear response logic makes the adjustment process smoother and ensures that the user's exercise experience will not be affected by sudden adjustments.

[0185] The control logic and underlying execution of the control module include:

[0186] The control system uses PID control algorithm to control the electric slope regulator and speed regulator of the treadmill. The PID algorithm is adjusted through real-time feedback to ensure the smoothness of slope and speed regulation.

[0187] PID control (proportional-integral-differential control) is the most common algorithm in the regulation system. It calculates the regulation signal in real time based on the error between the current actual value and the target value, and then controls the motor and electric push rod. The system's real-time feedback mechanism ensures that there will be no abrupt jumps in either the slope adjustment or the speed change, providing a stable regulation experience.

[0188] Speed ​​control: According to the user's cadence, speed and heart rate data, the system controls the output of the motor through PWM (pulse width modulation) to adjust the speed of the running belt. The speed change is gradually adjusted according to the feedback of the PID algorithm to avoid sudden speed changes;

[0189] The system adjusts the motor's operating voltage through PWM (pulse width modulation) modulation signals, thereby adjusting the speed of the running belt. When the system detects that the user's cadence has changed, it will use the PID algorithm to adjust the speed according to the user's current motion state to ensure that the cadence and speed are coordinated. The speed adjustment process changes gradually to avoid sudden speed jumps that cause discomfort to the user.

[0190] Slope control: Slope adjustment uses electric lifting to control the rotation direction and angle of the slope based on the user's fatigue and the decision of the AI ​​model;

[0191] The slope control is driven by an electric push rod, which adjusts the incline angle of the treadmill by receiving the adjustment instructions of the system in real time. The goal of slope adjustment is to provide a higher exercise load (uphill mode) or reduce the load (downhill mode) to match the user's exercise intensity. When the user shows signs of fatigue, the system will automatically reduce the slope, and when the user's state is restored, the system will increase the slope moderately.

[0192] The underlying logic of the flip control module includes:

[0193] Control logic:

[0194] The user issues a flip command through the control panel, buttons or mobile app, the signal is transmitted to the main control unit, and the system executes the flip action;

[0195] After the user inputs the flip command, the signal is transmitted to the central processing unit of the treadmill via wired or wireless communication (such as Wi-Fi, Bluetooth, etc.), and the control unit sends a start command to the electric push rod to perform the flip operation.

[0196] During the flipping process, the Hall effect sensor senses the flipping angle and position, and the system controls the rotation angle of the flipping motor within a preset range, so that the flipping stops automatically after reaching the specified position;

[0197] The system has a built-in Hall Effect sensor that can accurately detect the flip angle and position. When the flip process approaches the preset vertical state, the sensor will send a stop signal to the central processing unit, and the motor will stop at the appropriate angle to ensure that the treadmill is stably flipped to the vertical storage position.

[0198] Flip-out locking mechanism:

[0199] After the flip is completed, the locking device is automatically activated to prevent the treadmill from being accidentally restored to the use state when it is not suitable. The locking mechanism is realized by an electromagnetic lock. After receiving the feedback signal of the flip completion, the electromagnetic lock is activated to lock the running belt firmly in the vertical position;

[0200] The electromagnetic lock is automatically activated when the flip is completed, ensuring that the treadmill is completely locked when stored vertically, preventing the treadmill from automatically resetting in the event of unauthorized or misoperation. At the same time, the locking mechanism also has the function of preventing the treadmill from accidentally unlocking under vibration or jostling to ensure safety.

[0201] Also includes user interaction modules:

[0202] Touch display panel unit:

[0203] Real-time data display: During running, the panel will display key information including the user's heart rate, speed, running time, cadence, and calorie consumption, helping users monitor their exercise status in real time;

[0204] Training mode selection unit: Users can select different training modes on the touch panel, including fat burning mode, interval running and heart rate control;

[0205] Intelligent adjustment feedback unit: When the system automatically adjusts the slope or speed, the panel will display the adjusted value changes in real time to provide users with visual feedback;

[0206] Voice prompt unit:

[0207] Posture correction prompt: The system prompts the user through voice whether he needs to adjust his running posture, including when the stride is incorrect or the body is tilted;

[0208] Exercise progress reminder: During training, the system will inform the user of the current training progress, including the distance completed, training time, and the resistance that needs to be increased or decreased next;

[0209] Mobile App Unit:

[0210] Remote control: Users can control the treadmill's opening, closing, speed adjustment, and slope setting functions through the mobile phone app;

[0211] Training data synchronization unit: All training data of the treadmill will be synchronized to the App in real time. Users can view detailed training reports on their mobile phones and develop personalized training plans based on historical data;

[0212] The implementation of the user interaction module includes:

[0213] Touch panel and data interface:

[0214] The system uses an ARM-based microcontroller to drive the touch screen. 2 C or SPI interface communicates with the main control unit, and real-time data display is displayed on the screen after being processed by the sensor data stream, providing real-time feedback to the user;

[0215] The touch panel in the system is based on capacitive screen technology and can accurately sense the user's finger movements. Data interface (such as I 2 C or SPI) is used to quickly transmit sensor data, ensuring that users can see the motion status and feedback in real time. The interface works in an efficient low-power mode, reducing latency and improving user experience.

[0216] Mobile Apps and Wireless Communications:

[0217] Users can connect to the mobile app via Bluetooth or Wi-Fi to remotely control the running and flipping of the treadmill. The app communicates with the treadmill via BLE to send commands and receive data. Data synchronization uses WebSocket or RESTAPI technology to upload exercise data to the cloud for user analysis and storage.

[0218] The App connects to the treadmill via Bluetooth Low Energy (BLE) or Wi-Fi, providing the convenience of remote control. Data synchronization technology uses WebSocket to achieve two-way communication. The user's exercise data can not only be fed back to the App in real time, but also stored in the cloud for users to view and analyze at any time. The RESTAPI interface ensures the security and reliability of data transmission.

[0219] Voice prompt unit:

[0220] The system has a built-in voice recognition and synthesis module, which receives the user's voice commands through the microphone and performs related operations, or provides voice prompts to the user through the speaker. The voice system interacts with the control module so that the user can get prompts when the posture is incorrect;

[0221] The voice prompt unit integrates speech recognition (ASR) and speech synthesis (TTS) technology. Users can control the start, stop, speed adjustment and other operations of the treadmill through voice commands. At the same time, the system will monitor the user's exercise status in real time through the microphone and issue voice prompts when necessary to help users correct their running posture or adjust their exercise rhythm.

[0222] Training mode selection unit and feedback:

[0223] Users can select different training modes through the touch panel or App. Each mode triggers a different AI algorithm to determine the initial settings and adjustment rules for slope and speed.

[0224] The training modes include fat burning mode, heart rate control mode, interval training mode, etc. Each mode has its own specific AI adjustment algorithm. For example, the heart rate control mode will automatically adjust the slope and speed of the treadmill according to the user's real-time heart rate to ensure that the user's heart rate remains within the target range. Users can also view real-time feedback on the panel or App to understand the current training progress.

[0225] A method for operating an intelligent resistance adjustment system of an intelligent training device for sports, comprising the following steps:

[0226] S1. System initialization and user identification

[0227] S1.1: After the user gets on the machine, he activates the treadmill through the touch panel or App, and the system starts initializing;

[0228] S1.2: The heart rate sensor, speed sensor, cadence sensor, and posture sensor start working, and the system enters data collection mode;

[0229] S1.3: The user selects the training mode through the panel. When the automatic mode is selected, the system will set the initial slope and speed based on the user's initial state;

[0230] S2. Real-time collection and transmission of motion data

[0231] S2.1: The treadmill starts, the user starts exercising, and the sensor network collects the user's exercise data in real time, including heart rate, cadence, speed, posture, and slope;

[0232] S2.2: The collected data is transmitted to the central processing unit through the sensor interface;

[0233] S2.3: The data analysis module performs preliminary filtering and cleaning of the data to remove noise data and outliers;

[0234] S3.Data analysis and intelligent response

[0235] S3.1: The AI ​​algorithm is activated to analyze the user's real-time exercise data. The system calculates the user's fatigue status and exercise intensity based on heart rate, speed, cadence and posture data;

[0236] The system processes sensor data through built-in AI algorithms (such as neural networks or support vector machines) and compares it with the user's historical data. If the system detects that the user's heart rate exceeds the set target range, or the cadence and speed are inconsistent, the AI ​​algorithm will evaluate the user's current status and generate an adjustment strategy. Real-time processing of AI ensures a fast response to data, and usually the data processing and feedback time is controlled within 100ms.

[0237] S3.2: Based on the prediction results of the AI ​​model, the system determines whether the slope and speed of the treadmill need to be adjusted. When the user's heart rate is high or fatigue increases, the system automatically lowers the slope or slows down. Otherwise, the system increases the slope or speeds up.

[0238] The system automatically adjusts the slope and speed based on the user's exercise goals (such as fat loss, endurance training) and current exercise status. With the support of the AI ​​model, the system can dynamically identify the user's training intensity to ensure that the adjusted speed and slope match the user's current ability. For example, when the user enters the "heart rate zone", the system will increase the load appropriately, and when the user is detected to be fatigued, the system will reduce the resistance load.

[0239] S3.3: The real-time resistance adjustment system gradually adjusts the power output of the motor according to the PID control algorithm, adjusting the slope and speed, making the adjustment smooth and unobtrusive;

[0240] The PID (proportional-integral-differential) control algorithm continuously corrects errors based on real-time feedback to ensure smooth adjustment. The algorithm enables the system to adjust gradually rather than suddenly, preventing users from losing balance or feeling uncomfortable due to abrupt changes. For example, when the speed increases, the system will gradually increase by 0.1-0.2 m / s, and the slope will also change slightly to achieve a smooth training transition.

[0241] S4. User motion feedback and adjustment

[0242] S4.1: The system provides real-time feedback on the user's exercise data. The user can view the heart rate, speed, cadence, and calorie consumption information on the display screen. The system provides voice or visual prompts based on these data.

[0243] The touch screen of the treadmill is connected to the sensor module, which can display the user's exercise data in real time. These data include heart rate, cadence, speed, calories consumed, current slope, etc. The visual and voice prompt functions can help users understand the progress of training at any time. At the same time, based on the AI ​​analysis results, the system will remind users whether they need to adjust their posture or training intensity.

[0244] S4.2: When the user's running posture is incorrect, including too small a stride or leaning forward, the posture sensor will detect the abnormality and the system will prompt the user to correct the posture through voice;

[0245] The system continuously monitors the user's body posture through posture sensors (including accelerometers and gyroscopes). If it detects that the user's stride or body posture deviates from the normal range (such as excessive forward leaning, asymmetrical running posture, etc.), the system will issue a warning through the built-in voice prompt to remind the user to adjust the posture. This feedback mechanism helps users avoid sports injuries caused by incorrect posture.

[0246] S4.3: Users can manually adjust the speed and slope of the treadmill at any time through the touch panel or App, and can also continue to use the system's automatic adjustment function;

[0247] Even in automatic adjustment mode, users can still manually adjust the speed and slope of the treadmill through the touch panel or mobile app. This provides users with greater autonomy, especially when they want to quickly increase intensity or temporarily relax. This flexibility ensures that the treadmill can still fully adapt to the user's personalized needs based on intelligent adjustment.

[0248] S5. Exercise end and automatic flip prompt

[0249] S5.1: After the user completes the training, select the "Stop" button on the panel or App, and the system enters the end of the exercise state;

[0250] When the user selects the "Stop" button, the treadmill will gradually slow down, and the system will begin to record the user's training end data. The data includes total exercise time, calories consumed, average heart rate, step frequency, etc. At the same time, the system will switch to the end of exercise state and prompt the user whether to flip it over for storage.

[0251] S5.2: The system determines whether the user has completely finished exercising based on the decrease in the user's heart rate and the gradual slowing down of the speed, and prompts the user whether to perform the flipping and storage operation;

[0252] Through the data from the heart rate and speed sensors, the system can detect whether the user's physical condition has returned to normal. If the heart rate drops back to an appropriate resting level (usually 10%-15% of the resting heart rate), the system will prompt the user through the screen or voice whether to store the treadmill. This function is particularly suitable for automatic detection and prompting when the user has not manually stopped the device for a long time.

[0253] S5.3: After the user confirms the flip, the flip control system starts and enters the flip process;

[0254] S6. Flip storage operation

[0255] S6.1: After the flip control system receives the flip command, the electric push rod starts, the driving side block starts to move, and the slider slides inside the bottom plate, finally driving the running belt to gradually flip upwards;

[0256] During the flipping process, the electric actuator drives the slider to slide along the bottom plate through the motor, driving the running belt to flip upward. This design not only saves space, but also ensures the safe storage of the treadmill when not in use.

[0257] S6.2: When the treadmill reaches the vertical position of flipping, the electric push rod stops working and the electromagnetic lock starts to lock the treadmill in the vertical position;

[0258] S7. Security and exception handling

[0259] S7.1: During the flipping process, if the system detects an obstacle, the ultrasonic or infrared sensor will sound an alarm and suspend the flipping operation;

[0260] To ensure user safety, the flipping system is equipped with ultrasonic or infrared sensors to detect obstacles in the flipping path. If an obstacle (such as an object or a person) is detected, the system immediately stops the flipping process and sounds an alarm to prompt the user to clear the obstacle. This feature ensures that the flipping process is safe and error-free.

[0261] S7.2: After the flip is completed, the system enters the sleep mode, and the electromagnetic lock locks the treadmill in the flip state to prevent accidental start;

[0262] After the flip operation is completed, the system automatically enters sleep mode to reduce energy consumption. The electromagnetic lock ensures that the treadmill is firmly locked at this time to prevent accidental start or reset. The user must manually operate or App instructions to reactivate the device.

[0263] S8.Restoration and unlocking

[0264] S8.1: When the user starts the treadmill again through the panel or App, the system automatically unlocks the electromagnetic lock and activates the electric push rod to restore the treadmill to a horizontal state;

[0265] When the user wants to use the treadmill again, the system receives the start command through the panel or App, automatically unlocks the electromagnetic lock, and the electric push rod gradually resets, so that the treadmill returns to the horizontal motion state from the vertical storage state. The limit sensor ensures that the treadmill returns to the horizontal position accurately, ready for the next use cycle.

[0266] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent training device for sports, characterized in that: include: A bottom plate (1), the left outer wall of the bottom plate (1) is fixedly connected to a pillar (2), the upper surface of the pillar (2) is fixedly connected to a support shaft (3), the outer wall of the support shaft (3) is slidably connected to a control panel (4), and the interior of the support shaft (3) is fixedly connected to a handle (5); A side plate (6), the outer wall of the side plate (6) is rotatably connected to the inner wall of the bottom plate (1), the outer wall of the side plate (6) is fixedly connected to a support plate (7), the inner wall of the support plate (7) is fixedly connected to a motor (8), the output end of the motor (8) is fixedly connected to a turntable (9), the outer wall of the turntable (9) is provided with a transmission belt (10), the inner wall of the transmission belt (10) is provided with a rotating shaft (11), the outer wall of the rotating shaft (11) is provided with a running belt (12), and the upper surface of the support plate (7) is fixedly connected to a protective shell (13); A slider (14), the interior of the slider (14) being rotatably connected to the outer wall of the support plate (7), and the outer wall of the slider (14) being slidably connected to the interior of the base plate (1); A side block (15), wherein the lower surface of the side block (15) is fixedly connected to the upper surface of the side plate (6), the upper surface of the side block (15) is fixedly connected to a protective strip (16), the right inner wall of the bottom plate (1) is fixedly connected to a support plate (17), the outer wall of the support plate (17) is rotatably connected to an electric push rod (18), the output end of the electric push rod (18) is fixedly connected to a storage plate (21), and the outer wall of the storage plate (21) is fixedly connected to the middle inner wall of the side plate (6); A plastic card slot (22), wherein the outer wall of the plastic card slot (22) is fixedly connected to the outer wall of the side plate (6), a magnet hole (23) is provided inside the plastic card slot (22), a magnet (24) is provided inside the plastic card slot (22), the outer wall of the magnet (24) is provided inside the magnet hole (23), and a baffle strip (25) is provided inside the plastic card slot (22).

2. The intelligent training device for sports according to claim 1, characterized in that: The lower surface of the bottom plate (1) is fixedly connected to a first leg (19), and the lower surface of the side plate (6) is fixedly connected to a second leg (20).

3. An intelligent resistance adjustment system for intelligent training equipment for sports, characterized in that: An intelligent training device for sports as claimed in any one of claims 1 to 2, comprising: Sensor Module: Heart rate sensor: embedded in the treadmill handle, the sensor monitors the user's pulse fluctuations through optical sensing technology and provides real-time feedback to the control system; Speed ​​sensor: A sensor built into the bottom of the treadmill that monitors the actual speed of the belt so that the speed can be adjusted to match the user's cadence. Cadence sensor: The treadmill's accelerometer collects cadence to help the system optimize the user's stride and rhythm. Incline angle sensor: used to monitor the slope angle of the treadmill and provide appropriate resistance adjustment under different slope conditions; Posture sensor: monitors the user's posture and stride through gyroscopes and accelerometers to determine whether the user's running movements are standard and avoid sports injuries caused by incorrect movements; Data Analysis Module: Real-time data processing unit: It uses embedded processors and AI algorithms to analyze the data collected by sensors in real time. It evaluates the user's exercise status, including fatigue and training intensity, based on the user's heart rate, cadence and speed data; Resistance adjustment algorithm unit: dynamically adjusts the treadmill's resistance based on the analyzed data, including slope and speed adjustment. The algorithm takes into account the user's physiological state and pace, allowing the user to train at the optimal intensity; Adaptive learning algorithm unit: The system has adaptive capabilities. With repeated use by users, the system can optimize the adjustment logic through big data accumulation and provide more personalized training plans. Control Module: Electric push rod: located at the rear bracket of the treadmill, used to automatically adjust the slope of the treadmill according to system instructions, providing uphill or downhill mode, increasing or reducing exercise load; Motor: The drive motor connected to the running belt controls the speed of the treadmill and automatically adjusts the speed according to the user's cadence and heart rate so that the pace is consistent with the load; Resistance feedback unit: monitors the friction of the running belt and the feedback of the motor to ensure the smoothness of resistance adjustment; Flip control module: Flip button / panel control unit: A flip button is integrated on the treadmill control panel. When the user presses the button, the system controls the motor to start the flip operation. Mobile App Control Unit: Users can remotely control the treadmill's flipping through a mobile phone app. The app connects to the treadmill via Bluetooth or Wi-Fi and sends commands to the electric actuator. Automatic flip detection unit: automatically enters the flip prompt mode through the system prompt after the user leaves the detection and training ends. The system will automatically sense whether the user has not used the device for a long time and ask whether to perform the flip operation; Safety Lock Unit: When the treadmill is flipped to the vertical position, the lock is activated to prevent the treadmill from accidentally flipping back without user intervention.

4. The intelligent resistance adjustment system for intelligent training equipment for sports according to claim 3, characterized in that: The construction of the sensor module network includes: The user's motion data is collected in real time through a variety of sensors, including heart rate, cadence, speed, posture and slope information. The types of sensors mainly include: Optical heart rate sensor: detects the user's pulse fluctuations and estimates the heart rate through changes in light absorption in the blood. The data is updated 5-10 times per second. Accelerometer and gyroscope: used to detect the user's pace, cadence and running posture. The accelerometer captures the acceleration changes during movement, while the gyroscope is used to detect posture and angle changes. Speed ​​sensor: The speed measurement module is embedded in the driving motor of the running belt to detect the actual running speed.

5. The intelligent resistance adjustment system for intelligent training equipment for sports according to claim 3, characterized in that: The underlying logic of the data analysis module includes: Data collection and real-time transmission: Sensors collect data in real time through wired or wireless protocols, including I 2 C or SPI protocol, transmitted to the central processing unit of the treadmill, and the transmission adopts low-latency transmission technology; AI and Adaptive Learning Algorithm Unit: AI algorithm model: The system uses pre-trained AI models, including neural network models based on decision trees, support vector machines, or deep learning, to analyze the collected user data and predict the user's exercise status in real time, including fatigue, exercise intensity, and cardiopulmonary load; Adaptive adjustment algorithm: Through AI algorithms and historical training data, the system automatically learns the user's training habits and gradually adjusts the algorithm to provide more precise personalized adjustments; Real-time response logic: When the user's heart rate or step frequency changes significantly, the data analysis module determines whether the user is in a high-intensity or low-intensity state by matching the parameters of the AI ​​model with the user's current data, and then adjusts the slope and speed of the treadmill. The adjustment amplitude follows the nonlinear response logic to avoid sudden changes in resistance causing discomfort to the user.

6. The intelligent resistance adjustment system for intelligent training equipment for sports according to claim 3, characterized in that: The control logic and underlying execution of the control module include: The control system uses PID control algorithm to control the electric slope regulator and speed regulator of the treadmill. The PID algorithm is adjusted through real-time feedback to ensure the smoothness of slope and speed regulation. Speed ​​control: According to the user's cadence, speed and heart rate data, the system controls the output of the motor through PWM to adjust the speed of the running belt. The speed change is gradually adjusted according to the feedback of the PID algorithm to avoid sudden speed changes; Slope control: The slope adjustment uses electric lifting to control the rotation direction and angle of the slope based on the user's fatigue and the decision of the AI ​​model.

7. The intelligent resistance adjustment system for intelligent training equipment for sports according to claim 3, characterized in that: The underlying logic of the flip control module includes: Control logic: The user issues a flip command through the control panel, buttons or mobile app, the signal is transmitted to the main control unit, and the system executes the flip action; During the flipping process, the Hall effect sensor senses the flipping angle and position, and the system controls the rotation angle of the flipping motor within a preset range, so that the flipping stops automatically after reaching the specified position; Flip-out locking mechanism: After the flipping is completed, the locking device is automatically activated to prevent the treadmill from being accidentally restored to the use state under unsuitable circumstances. The locking mechanism is realized by an electromagnetic lock. After receiving the feedback signal that the flipping is completed, the electromagnetic lock is activated to lock the running belt firmly in the vertical position.

8. The intelligent resistance adjustment system for intelligent training equipment for sports according to claim 3, characterized in that: Also includes user interaction modules: Touch display panel unit: Real-time data display: During running, the panel will display key information including the user's heart rate, speed, running time, cadence, and calorie consumption, helping users monitor their exercise status in real time; Training mode selection unit: Users can select different training modes on the touch panel, including fat burning mode, interval running and heart rate control; Intelligent adjustment feedback unit: When the system automatically adjusts the slope or speed, the panel will display the adjusted value changes in real time to provide users with visual feedback; Voice prompt unit: Posture correction prompt: The system prompts the user through voice whether he needs to adjust his running posture, including when the stride is incorrect or the body is tilted; Exercise progress reminder: During training, the system will inform the user of the current training progress, including the distance completed, training time, and the resistance that needs to be increased or decreased next; Mobile App Unit: Remote control: Users can control the treadmill's opening, closing, speed adjustment, and slope setting functions through the mobile phone app; Training data synchronization unit: All training data of the treadmill will be synchronized to the App in real time. Users can view detailed training reports on their mobile phones and make personalized training plans based on historical data.

9. The intelligent resistance adjustment system for intelligent training equipment for sports according to claim 8, characterized in that: The implementation of the user interaction module includes: Touch panel and data interface: The system uses an ARM architecture microcontroller to drive the touch screen. 2 C or SPI interface communicates with the main control unit, and real-time data display is displayed on the screen after being processed by the sensor data stream, providing users with real-time feedback; Mobile Apps and Wireless Communications: Users can connect to the mobile app via Bluetooth or Wi-Fi to remotely control the running and flipping of the treadmill. The app communicates with the treadmill via BLE to send commands and receive data. Data synchronization uses WebSocket or RESTAPI technology to upload exercise data to the cloud for user analysis and storage. Voice prompt unit: The system has a built-in voice recognition and synthesis module, which receives the user's voice commands through the microphone and performs related operations, or provides voice prompts to the user through the speaker. The voice system interacts with the control module so that the user can get prompts when the posture is incorrect; Training mode selection unit and feedback: Users can select different training modes through the touch panel or App. Each mode will trigger a different AI algorithm to determine the initial settings and adjustment rules of slope and speed.

10. An operating method of an intelligent resistance adjustment system for an intelligent training device for sports, used in an intelligent resistance adjustment system for an intelligent training device for sports as claimed in any one of claims 3 to 9, characterized in that: The following steps are involved: S1. System initialization and user identification S1.1: After the user gets on the machine, he activates the treadmill through the touch panel or App, and the system starts initializing; S1.2: The heart rate sensor, speed sensor, cadence sensor, and posture sensor start working, and the system enters data collection mode; S1.3: The user selects the training mode through the panel. When the automatic mode is selected, the system will set the initial slope and speed based on the user's initial state; S2. Real-time collection and transmission of motion data S2.1: The treadmill starts, the user starts exercising, and the sensor network collects the user's exercise data in real time, including heart rate, cadence, speed, posture, and slope; S2.2: The collected data is transmitted to the central processing unit through the sensor interface; S2.3: The data analysis module performs preliminary filtering and cleaning of the data to remove noise data and outliers; S3.Data analysis and intelligent response S3.1: The AI ​​algorithm is activated to analyze the user's real-time exercise data. The system calculates the user's fatigue status and exercise intensity based on heart rate, speed, cadence and posture data; S3.2: Based on the prediction results of the AI ​​model, the system determines whether the slope and speed of the treadmill need to be adjusted. When the user's heart rate is high or fatigue increases, the system automatically lowers the slope or slows down. Otherwise, the system increases the slope or speeds up. S3.3: The real-time resistance adjustment system gradually adjusts the power output of the motor according to the PID control algorithm, adjusting the slope and speed, making the adjustment smooth and unobtrusive; S4. User motion feedback and adjustment S4.1: The system provides real-time feedback on the user's exercise data. The user can view the heart rate, speed, cadence, and calorie consumption information on the display screen. The system provides voice or visual prompts based on these data. S4.2: When the user's running posture is incorrect, including too small a stride or leaning forward, the posture sensor will detect the abnormality and the system will prompt the user to correct the posture through voice; S4.3: Users can manually adjust the speed and slope of the treadmill at any time through the touch panel or App, and can also continue to use the system's automatic adjustment function; S5. Exercise end and automatic flip prompt S5.1: After the user completes the training, select the "Stop" button on the panel or App, and the system enters the end of the exercise state; S5.2: The system determines whether the user has completely finished exercising based on the decrease in the user's heart rate and the gradual slowing down of the speed, and prompts the user whether to perform the flipping and storage operation; S5.3: After the user confirms the flip, the flip control system starts and enters the flip process; S6. Flip storage operation S6.1: After the flip control system receives the flip command, the electric push rod starts, the driving side block starts to move, and the slider slides inside the bottom plate, finally driving the running belt to gradually flip upwards; S6.2: When the treadmill reaches the vertical position of flipping, the electric push rod stops working and the electromagnetic lock starts to lock the treadmill in the vertical position; S7. Security and exception handling S7.1: During the flipping process, if the system detects an obstacle, the ultrasonic or infrared sensor will sound an alarm and suspend the flipping operation; S7.2: After the flip is completed, the system enters the sleep mode, and the electromagnetic lock locks the treadmill in the flip state to prevent accidental start; S8.Restoration and unlocking S8.1: When the user starts the treadmill again through the panel or App, the system automatically unlocks the electromagnetic lock and activates the electric push rod to restore the treadmill to a horizontal state.

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