Crawler belt speed control method of intelligent treadmill

Abstract

The invention discloses a track speed control method of an intelligent treadmill, and particularly relates to the technical field of motor control, which comprises the following steps: S1, user information acquisition: acquiring user input information to obtain an initial speed; s2, setting the initial speed of the track: generating a speed control instruction, and sending a driving signal to a motor driving terminal to control the track to reach the set speed; and S3, real-time information collection: collecting physiological information of the user in the exercise process. And S4, speed rationality analysis: carrying out crawler speed rationality analysis. And S5, adjusting the crawler speed. And S6, motion state continuous monitoring and data storage: the motion state of the user is monitored in real time, and the speed in the normal motion state is stored in a database. The motion state of the user is analyzed by monitoring the heart rate and the breathing frequency of the user in the motion process in real time, and the track speed of the intelligent treadmill is dynamically adjusted according to the motion state of the user. The probability that the user is injured due to speed mismatching in the movement process is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of motor control, and more specifically, to a method for controlling the track speed of an intelligent treadmill. Background Art

[0002] With the enhancement of people's health awareness, the demand for treadmills has been continuously increasing. With the continuous development of sensor technology, artificial intelligence, and Internet of Things technology, the functions of treadmills have become increasingly intelligent, and these technologies provide more possibilities and higher precision for the control of the track speed of treadmills. The increasingly diverse and personalized user needs are important factors driving the development of intelligent treadmills. Users of different ages, genders, physical conditions, and exercise goals have different requirements for the track speed of treadmills. To solve the deficiencies of traditional treadmill speed control and meet the diverse fitness needs of users, it is of great practical significance and market value to develop a method for controlling the track speed of an intelligent treadmill using modern advanced technologies.

[0003] However, in its actual application, there are still some disadvantages. First, it cannot be adaptively adjusted. Traditional treadmills cannot automatically adjust the track speed of the treadmill according to the user's real-time exercise state. The treadmill can only run at the speed set by the user, resulting in the inability to adjust the speed in a timely manner according to the actual situation of the user, and it is easy to cause the user to get injured during exercise. Second, traditional treadmills lack data monitoring and insufficient analysis. They lack physiological data that can reflect exercise effects and physical conditions, such as heart rate, blood pressure, blood oxygen saturation, and respiratory rate, and cannot monitor these data in real time, making it impossible for users to comprehensively understand their own exercise state and physical reactions. Even if some basic exercise data are recorded, there is a lack of in-depth analysis and feedback on the data, and the exercise speed cannot be adjusted according to the user's actual exercise data. It is difficult for users to optimize their exercise methods based on the data and improve exercise effects. Third, traditional treadmills lack an automatic optimization function and cannot adjust and feedback the user's exercise plan according to the number of times the user exercises. Users need to reset the parameters by themselves each time and cannot obtain a more personalized exercise experience. Summary of the Invention

[0004] In view of this, an embodiment of the present invention provides a method for controlling the track speed of an intelligent treadmill. By real-time monitoring of the user's heart rate and respiratory rate during exercise, the motion state of the target monitored user is determined in real time, and the track speed of the intelligent treadmill is adjusted in real time according to the motion state, which maximally guarantees the physical health of the user during exercise and effectively solves the problems raised in the background art.

[0005] To achieve the above object, the present invention provides the following technical solution: A method for controlling the track speed of an intelligent treadmill, including a user information collection terminal, a physiological data monitoring terminal, a speed monitoring terminal, a control center, a motor drive terminal, and a database. Among them, the user information collection terminal, the speed monitoring terminal, the physiological data monitoring terminal, the control center, and the motor drive terminal are all set on the intelligent treadmill, and the method includes the following steps: S1: User information collection: Use the user information collection terminal on the intelligent treadmill to collect user input information in real time, specifically including the exercise time, exercise speed, and exercise mode set by the user, and transmit the collected data to the control center; S2: Initial track speed setting: The control center sets the track speed of the intelligent treadmill according to the user input information, generates a speed control instruction, and sends a drive signal to the motor drive terminal to control the track to reach the set speed; S3: Real-time information collection: Use the physiological data monitoring terminal to monitor and collect the physiological information of the user during exercise in real time, and transmit the collected data to the control center; S4: Speed rationality analysis: Analyze the rationality of the track speed according to the collected physiological information, and generate a track speed adjustment instruction based on the rationality analysis result; S5: Track speed adjustment: The control center generates a corresponding drive signal based on the track speed adjustment instruction and sends it to the motor drive terminal. The motor drive terminal adjusts the track speed in real time according to the drive signal; S6: Continuous monitoring of exercise status and data storage: Continuously monitor the exercise status of the user, and store the speed monitored in real time by the speed monitoring terminal in the database.

[0006] Technical effects and advantages of the present invention: 1. By constructing a warning value for the physiological state stability index, the present invention judges the user's real-time exercise status, and automatically adjusts the track speed of the intelligent treadmill according to the exercise status until the real-time monitored exercise status returns to the normal level, which can timely adjust the track speed during the user's exercise and effectively avoid physical health damage caused by speed mismatch; 2. By using the user information collection terminal, the physiological data monitoring terminal, and the speed monitoring terminal to collect the exercise parameters set by the user, the physiological parameters during the user's exercise, and the speed of the track in real time, and through the control center to perform data analysis and processing on the real-time collected physiological parameters, analyze and calculate the physiological state stability index of the target monitored user, clearly display the heart rate and respiratory rate of the user during exercise, focus on the real-time heart rate and respiratory rate of the user, analyze the user's real-time exercise status, and adjust the track speed of the intelligent treadmill according to the user's real-time exercise status, enabling the user to optimize their exercise method according to the data and improve the exercise effect; 3. The present invention constructs three preset levels of the warning value of the physiological state stability index for each user's exercise state, and associates the intelligent treadmill track speed when the user is at the normal exercise level during exercise with the user's information, so that the user does not need to reset the parameters by himself every time, and can obtain a more personalized exercise experience. Brief Description of the Drawings

[0007] Figure 1 It is a schematic diagram of the method steps of the present invention.

[0008] Figure 2 It is a schematic diagram of the overall structure of the present invention.

[0009] Figure 3 It is a flow chart for judging the exercise state level of the present invention. Detailed Embodiments

[0010] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the 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.

[0011] As shown in the attached Figure 1 A method for controlling the track speed of an intelligent treadmill includes a user information collection terminal, a physiological data monitoring terminal, a speed monitoring terminal, a control center, a motor drive terminal, and a database. Among them, the user information collection terminal, the speed monitoring terminal, the physiological data monitoring terminal, the control center, and the motor drive terminal are all set on the intelligent treadmill.

[0012] In a more specific application of the present invention, the user information collection terminal is used to collect data input by the user, which means that the user inputs information through the treadmill control panel or a mobile application device, specifically including the target speed, exercise mode, and exercise time set by the user. During exercise, the user can manually adjust the exercise parameters at any time through the control panel of the intelligent treadmill or a mobile device connected to the intelligent treadmill.

[0013] The physiological data monitoring terminal is used to collect the physiological indicators of the user, including the user's heart rate, blood pressure, blood oxygen saturation, and respiratory rate. Real-time monitoring of the user's physiological data can timely detect abnormalities during the user's exercise. For example, a too fast heart rate may cause cardiovascular problems, and abnormal fluctuations in blood pressure also pose risks. The real-time collected physiological data helps to timely adjust the track speed of the treadmill to prevent accidents during the user's exercise.

[0014] The speed monitoring terminal is used to accurately measure the running speed of the track of the intelligent treadmill in real time. Specifically, it can be an optoelectronic encoder, a Hall sensor, a tachogenerator, and an acceleration sensor. Among them, the optoelectronic encoder is usually installed on the drive motor of the intelligent treadmill and consists of a light-emitting diode, a photosensitive sensor, and a code disk with light-transmitting slots. When the motor drives the code disk to rotate, the light-transmitting slots will periodically block and transmit light, causing the photosensitive sensor to receive changes in the light signal, and then generating a pulse signal. By calculating the number of pulses received per unit time, the rotation speed of the code disk is determined, and according to the fixed transmission ratio of the track drive system of the intelligent treadmill, the running speed of the track of the intelligent treadmill is calculated.

[0015] The control center is used to analyze and perform relevant parameter control based on the data monitored and collected by the above-mentioned user information collection terminal, speed monitoring terminal, and physiological data monitoring terminal.

[0016] The motor drive terminal is used to receive the speed adjustment instruction from the control center and quickly and accurately adjust the motor speed according to the instruction to achieve precise control of the track speed of the intelligent treadmill. Adjusting the track speed of the intelligent treadmill according to the real-time monitored data avoids the user's frequent manual adjustment of the track speed of the intelligent treadmill, more precisely meets the user's needs, and provides a better quality sports service.

[0017] For the connection relationship of the above-mentioned user information collection terminal, speed monitoring terminal, physiological data monitoring terminal, control center, and motor drive terminal, see Figure 2 .

[0018] The specific implementation manner of the present invention includes the following steps: S1: User information collection: Use the user information collection terminal on the intelligent treadmill to collect user input information in real time, specifically including the exercise time, exercise speed, and exercise mode set by the user, and transmit the collected data to the control center.

[0019] It should be specifically noted in this embodiment that the user sets the exercise time, exercise speed, and exercise mode through the control panel of the intelligent treadmill. The operation panel usually has digital keys, adjustment knobs, and a touch screen. The user inputs the desired speed value and selects the corresponding exercise mode through the operation panel.

[0020] Specifically in this embodiment, the above-mentioned exercise mode setting means that the user can set the desired speed value through the digital keys, "+" and "-" increase and decrease buttons, or touch sliders on the intelligent treadmill operation panel. For example, press the number "8" and then the "confirmation key", indicating that the user hopes to set the treadmill speed to 8 km / h; setting through a mobile device means that through the mobile phone APP or other mobile device applications connected to the treadmill, the user inputs speed parameters in the interface. For example, enter "10" in the speed setting column of the APP, select "km / h" for the unit, submit the setting, and the application transmits the set information to the intelligent treadmill via Bluetooth or Wi-Fi.

[0021] S2: Initial track speed setting: The control center sets the track speed of the intelligent treadmill according to the user input information, generates a speed control instruction, and sends a drive signal to the motor drive terminal to control the track to reach the set speed.

[0022] Further, the specific steps for generating the speed control instruction are as follows: A1: The control center performs data format conversion on the received user input information. A2: Perform a legality check on the input speed value to determine whether the speed is within the adjustable range of the intelligent treadmill. A3: The control center determines the rotational speed value of the motor according to the set speed value in combination with the working parameters of the built-in motor of the target intelligent treadmill. A4: According to the determined rotational speed value, the control center generates a speed control instruction according to a preset control algorithm.

[0023] Specifically in this embodiment, the above-mentioned data format conversion means that when the user inputs a speed value through the control panel of the intelligent treadmill, the control center converts the key signal into a digital code. When setting the speed value through the APP, the control center parses the data format transmitted through the network into a data structure that can be processed internally; the speed legality check in the above steps is used to determine whether the speed set by the user is within the adjustable range of the intelligent treadmill. For example, the adjustable range of the treadmill speed is 0.5 - 20 km / h. If the speed set by the user is 30 km / h, the control center will determine it as an input error and prompt the user to reset the speed value; the working parameters of the built-in motor in the above steps specifically refer to parameters such as motor characteristics and motor transmission ratios. For example, according to the circumference of the treadmill track and the transmission ratio, the corresponding motor rotational speed is calculated. If the set speed is 10 km / h, the calculated rotational speed that the motor needs to reach per minute is obtained; the speed control instruction in the above steps should include all parameters for controlling the motor. For a DC motor, the instruction should include the target voltage value. For an AC motor, the instruction should include the target frequency value and its phase information.

[0024] S3: Real-time information collection: Use the physiological data monitoring terminal to monitor and collect the user's physiological information during exercise in real time, and transmit the collected data to the control center.

[0025] Furthermore, the user's heart rate HR and respiratory rate R are collected in real time through the physiological data monitoring terminal. The physiological data monitoring terminal includes a heart rate sensor and a respiratory rate detection device set on the intelligent treadmill.

[0026] It should be specifically noted in this embodiment that the heart rate sensors in the above steps should include armrest heart rate sensors, chest strap heart rate sensors, wrist optical heart rate sensors, and built-in optical heart rate sensors. Users should select a suitable heart rate sensor according to their own exercise status and exercise habits. For example, the armrest heart rate sensor is built into the armrest of the intelligent treadmill. When the user holds the armrest while running, the sensor obtains the heart rate by detecting the tiny electrical signals on the surface of the human skin. When the human heart beats, bioelectricity is generated, and the electrical signal is conducted to the surface of the skin. The sensor collects the electrical signal by contacting the skin with the electrode, processes and analyzes the electrical signal, and calculates the user's real-time heart rate. The armrest heart rate sensor only requires the user to touch the armrest with their hand for heart rate detection, without the need for the user to wear a device, which increases the exercise burden, but the contact stability of the user is relatively low, affecting the accuracy of the real-time collected heart rate; the wrist optical heart rate sensor is integrated on wearable devices such as smart watches. The user wears it when using the treadmill. The sensor emits green light onto the surface of the user's skin and uses the characteristic of blood's absorption of light to detect the heart rate. When the heart beats, the blood volume in the blood vessels changes, and the absorption amount of green light changes accordingly. The sensor receives the reflected light and converts it into an electrical signal, and analyzes the change frequency of the electrical signal to calculate the user's real-time heart rate. The wrist optical heart rate sensor is convenient to wear and has a wide range of usage scenarios, but the optical heart rate sensor may be affected by wrist shaking, sweat, and hair during exercise, resulting in a decrease in data accuracy.

[0027] It should be specifically noted in this embodiment that the breathing frequency detection device in the above steps specifically includes a pressure sensor, an acceleration sensor, a microphone, and an optical sensor. Specifically, the pressure sensor is generally installed on parts such as the running belt and handrail of the intelligent treadmill. When the user is in a moving state, breathing will cause minute pressure changes in the body. For example, the rise and fall of a person's abdomen and chest will cause periodic changes in the contact pressure between the human body and the running belt handrail. The pressure sensor converts the monitored pressure into an electrical signal. The electrical signal undergoes preprocessing such as amplification and filtering to remove noise and other interference signals. The control system of the treadmill uses an algorithm to analyze these processed signals and calculates the breathing frequency based on the periodic changes in the signals. For example, a time interval is set, and the number of peaks of the pressure signal within this time period is counted to obtain the user's real-time breathing frequency; the breathing sound of the user during exercise is collected through the microphone, and by analyzing the sound of air flowing in and out of the respiratory tract, the breathing frequency contained therein is identified. The microphone is installed near the user's mouth and nose, such as near the operation panel of the treadmill. The collected breathing sound signal undergoes analog-to-digital conversion to convert the analog sound signal into a digital signal, and the digital signal is analyzed through a sound recognition algorithm to extract the characteristics of the breathing sound and calculate the user's real-time breathing frequency.

[0028] S4: Speed rationality analysis: Analyze the rationality of the track speed based on the collected physiological information, and generate a track speed adjustment instruction based on the result of the rationality analysis.

[0029] Furthermore, for the rationality analysis of the track speed, the heart rate stability PR u and the breathing frequency stability R u need to be calculated according to the heart rate and breathing frequency collected in real time by the physiological data monitoring terminal, and based on the heart rate stability and breathing frequency stability, use the formula to calculate the physiological state stability index P of the target monitored user. μ1 and μ2 respectively represent the influence coefficients of the heart rate stability and breathing frequency stability on the physiological state stability index. The current exercise state of the target monitored user is judged through the physiological state stability index, and the running speed of the track of the intelligent treadmill is adjusted according to the judgment result, and a corresponding track speed adjustment instruction is generated.

[0030] Even further, the calculation steps of the heart rate stability are as follows: B1: Set a time interval, set the previous several time nodes of the current target monitoring time node as the start time, and the current time node as the end time, and divide it into n sub-time regions with equal time lengths by an equal-time-length method, and label them as 1, 2,..., i,..., n; It should be specifically noted in this embodiment that the first few time nodes in the above steps can be 5 minutes, and 5 seconds can be selected as the time length to divide this time region into individual sub-time regions. By dividing the time region of the user's movement, the fatigue state of the user's body and the potential risk of sports injury can be detected in a timely manner. The heart rate and respiratory rate of the user during exercise in the current period can be analyzed more carefully, and the speed of the intelligent treadmill can be adjusted in a timely manner, effectively protecting the physical health of the user during the fitness exercise.

[0031] B2: Collect the heart rate HR of the monitored user in any sub-time region through the heart rate sensor in the physiological data monitoring terminal i , and calculate the average heart rate through the heart rate of the user in any sub-time region. Calculate the difference between the heart rate in any sub-time region and the average heart rate, accumulate the squares of the differences between the heart rate in any sub-time region and the average heart rate, divide by the number of n - 1 sub-time regions, and take the square root to obtain the heart rate fluctuation value of the user in the monitored time region. Use the expression to calculate the heart rate stability PR of the target monitored user in the current time region u , where PR b represents the optimal heart rate of the target monitored user during exercise, and a1, a2, and a3 respectively represent the influence coefficients of the instantaneous heart rate, average heart rate, and heart rate fluctuation value on the heart rate stability.

[0032] It should be specifically noted in this embodiment that as the exercise intensity increases, the heart rate will increase correspondingly. The body needs more oxygen and energy to meet the needs of the muscles, and the heart beats faster to provide more blood. A too high heart rate means that the body is in a high-intensity exercise state and the exercise intensity or rest needs to be adjusted in a timely manner. A too low heart rate indicates that there are some health problems with the user's body. Calculating the average heart rate of the user in the target monitored time region effectively excludes the influence of error data on the calculation result. The average heart rate effectively reflects the exercise level of the user in this time region, and the heart rate fluctuation value reflects the exercise effect of the user in the current monitored time region. The higher the heart rate fluctuation value, the more unstable the user's exercise state and the worse the exercise effect. By monitoring the change of the heart rate of the target user during exercise, the exercise intensity of the user can be understood, the body adaptability can be evaluated, the health state can be monitored, sports injuries can be prevented, and the rationality of the exercise speed can be ensured.

[0033] Furthermore, the calculation steps of the respiratory rate stability are as follows: Collect the respiratory rate R of the monitored user in any sub-time region through the respiratory rate detection device in the physiological data monitoring terminal iand calculate the average respiratory rate within the target monitoring time region based on the respiratory rates in any sub - time regions, and monitor the respiratory rate R of the user when the user is in the optimal exercise state through the physiological data monitoring terminal b , subtract the respiratory rate in any sub - time region from the respiratory rate in the optimal state, divide the result by the respiratory rate in the optimal state, accumulate and average them to obtain the respiratory rate change amplitude. Then, use the formula to calculate the respiratory rate stability R of the target monitored user u , where b1 and b2 respectively represent the influence coefficients of the average respiratory rate and the respiratory rate change amplitude on the respiratory rate stability

[0034] It should be specifically noted in this embodiment that the respiratory rate of a normal adult at rest is 12 - 20 times per minute, which can be used as a benchmark for the change in the respiratory rate of the target monitored user during exercise. As the exercise intensity increases, the user's respiratory rate will increase accordingly, and the body's demand for oxygen increases, resulting in a significant acceleration of the respiratory rate. An excessively high respiratory rate can lead to brain hypoxia, causing symptoms such as dizziness, blurred vision, and decreased reaction ability, affecting oxygen supply and energy metabolism, increasing the burden on the heart and lungs, causing discomfort symptoms, affecting exercise recovery, and posing potential health risks. By analyzing the change amplitude of the respiratory rate of the target monitored user, the current exercise state of the user can be reflected. When the change amplitude of the respiratory rate is too large, the cardio - pulmonary system needs to work faster to meet the body's oxygen demand, increasing the burden on the heart. Prolonged accumulation can lead to damage to the cardio - pulmonary function. An overly large change amplitude of the respiratory rate may interfere with the body's energy supply and metabolic balance, thus affecting exercise performance. By real - time monitoring the respiratory rate, it is possible to accurately understand whether the current exercise intensity is suitable for one's own physical condition, providing effective data support for adjusting the user's exercise speed in the subsequent steps

[0035] Furthermore, to judge the exercise state, a physiological state stability index warning value needs to be constructed, including a first preset warning value, a second preset warning value, and a third preset warning value. Compare the calculated physiological state stability index with the physiological state stability index warning value to judge the current exercise state level of the target monitored user, and adjust the track speed of the treadmill according to the exercise state level The implementation method for judging the exercise state level is as follows C1: When the real - time calculated physiological state stability index is less than the first preset warning value, it indicates that the exercise state of the target monitored user is at a normal level, and there is no need to adjust the track speed of the intelligent treadmill C2: When the real - time calculated physiological state stability index is greater than the first preset warning value and less than the second preset warning value, it indicates that the exercise state of the target monitored user is in a mild fatigue state, and it is necessary to slightly reduce the track speed of the intelligent treadmill C3: When the physiologic state stability index calculated in real time is greater than the second preset warning value and less than the third preset warning value, it indicates that the exercise state of the target monitored user is in a moderate fatigue state, and the belt speed of the intelligent treadmill needs to be significantly reduced; C4: When the physiologic state stability index calculated in real time is greater than the third preset warning value, it indicates that the exercise state of the target monitored user is in a severe fatigue state, and the intelligent treadmill needs to be immediately stopped.

[0036] It should be specifically noted in this embodiment that the construction of the warning value of the physiologic state stability index in the above steps requires collecting a sufficient number of samples of user exercise process monitoring, which should include all possible situations that may occur during the fitness exercise of the user. Analyze the heart rate and respiratory rate in the collected samples, and monitor the exercise state of the user in the samples in real time. Summarize and conclude 4 exercise states, and take the critical values of the 4 states as the warning values of the physiologic state stability index.

[0037] S5: Belt speed adjustment: The control center generates corresponding drive signals based on the belt speed adjustment command and sends them to the motor drive terminal. The motor drive terminal adjusts the belt speed in real time according to the drive signals.

[0038] S6: Continuous monitoring of exercise state and data storage: Continuously monitor the exercise state of the user, and store the speed real-time monitored by the speed monitoring terminal in the database.

[0039] Furthermore, continuously monitor the exercise state of the user. During the process of adjusting the belt speed, when the physiologic state stability index calculated from the heart rate and respiratory rate real-time collected by the physiologic data monitoring terminal is less than the first preset warning value of the physiologic state stability index warning value, stop the belt speed adjustment of the intelligent treadmill.

[0040] It should be specifically noted in this embodiment that record the belt speed of the target monitored user in the normal exercise state in the above steps, associate it with the personal information of the user, and provide an effective reference basis for the speed of the user during subsequent fitness processes.

[0041] Secondly: In the attached drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments of the present disclosure are involved. Other structures can refer to the general design. Without conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above are only the preferred embodiments of the present invention, and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for controlling the speed of a track of an intelligent treadmill, characterized in that: It includes a user information collection terminal, a physiological data monitoring terminal, a speed monitoring terminal, a control center, a motor drive terminal and a database, wherein the user information collection terminal, the speed monitoring terminal, the physiological data monitoring terminal, the control center and the motor drive terminal are all arranged on the intelligent treadmill, and includes the following steps: S1: User information collection: Use the user information collection terminal on the smart treadmill to collect user input information in real time, including the exercise time, exercise speed and exercise mode set by the user, and transmit the collected data to the control center; S2: Initial speed setting of the crawler: The control center sets the crawler speed of the intelligent treadmill according to the user input information, generates a speed control instruction, and sends a drive signal to the motor drive terminal to control the crawler to reach the set speed; S3: Real-time information collection: Use the physiological data monitoring terminal to monitor and collect the user's physiological information during exercise in real time, and transmit the collected data to the control center; S4: Speed ​​rationality analysis: Conduct track speed rationality analysis based on the collected physiological information, and generate track speed adjustment instructions based on the rationality analysis results; S5: Track speed adjustment: The control center generates a corresponding drive signal based on the track speed adjustment instruction and sends it to the motor drive terminal. The motor drive terminal adjusts the track speed in real time according to the drive signal; S6: Continuous monitoring of motion status and data storage: Monitor the user's motion status in real time, and store the speed monitored in real time by the speed monitoring terminal in the database.

2. The method for controlling the speed of a track of an intelligent treadmill according to claim 1, characterized in that: The specific steps of generating the speed control instruction are: A1: The control center converts the data format of the received user input information; A2: Check the legality of the input speed value to determine whether the speed is within the adjustable range of the smart treadmill; A3: The control center determines the motor speed value based on the set speed value and the working parameters of the built-in motor of the target smart treadmill; A4: Based on the determined speed value, the control center generates a speed control instruction according to a preset control algorithm.

3. The method for controlling the speed of a track of an intelligent treadmill according to claim 1, characterized in that: The user's heart rate HR and respiratory rate R are collected in real time through a physiological data monitoring terminal, and the physiological data monitoring terminal includes a heart rate sensor and respiratory rate detection equipment arranged on the intelligent treadmill.

4. The method for controlling the speed of a track of an intelligent treadmill according to claim 1, characterized in that: The rationality analysis of the crawler speed needs to calculate the heart rate stability PR based on the heart rate and respiratory rate collected in real time by the physiological data monitoring terminal. u and respiratory rate stability R u , and based on the heart rate stability and respiratory rate stability, use the formula The physiological state stability index P of the target monitored user is calculated, μ1 and μ2 represent the influence coefficients of heart rate stability and respiratory rate stability on the physiological state stability index respectively, and the current exercise state of the target monitored user is judged by the physiological state stability index. The track running speed of the smart treadmill is adjusted according to the judgment result, and the corresponding track speed adjustment instruction is generated.

5. The method for controlling the speed of a track of an intelligent treadmill according to claim 4, characterized in that: The calculation steps of the heart rate stability are as follows: B1: Set a time interval, set the first few time nodes of the current target monitoring time node as the start time, set the current time node as the end time, and divide it into n sub-time areas with equal time lengths, marked as 1, 2, ..., i, ..., n respectively; B2: The heart rate sensor in the physiological data monitoring terminal collects the heart rate HR of the user in any sub-time zone i , and calculate the mean heart rate through the user's heart rate in any sub-time zone, calculate the difference between the heart rate and the mean heart rate in any sub-time zone, add up the squares of the difference between the heart rate and the mean heart rate in any sub-time zone, divide by the number of n-1 sub-time zones and take the square root to get the user's heart rate fluctuation value in the monitoring time zone, and use the expression to calculate the instantaneous heart rate value, the mean heart rate value and the heart rate fluctuation value Calculate the heart rate stability PR of the target monitoring user in the current time zone u , where PR b It represents the optimal heart rate of the target monitored user during exercise, and a1, a2 and a3 represent the influence coefficients of the instantaneous heart rate value, the average heart rate and the heart rate fluctuation value on the heart rate stability respectively.

6. The method for controlling the speed of a track of an intelligent treadmill according to claim 4, characterized in that: The calculation steps of the respiratory rate stability are as follows: The respiratory rate R of the user monitored in any sub-time region is acquired by the respiratory rate detection device in the physiological data monitoring terminal. i The respiratory frequency in the target monitoring time zone is calculated by the respiratory frequency in any sub-time zone, and the respiratory frequency R when the user is in the best exercise state is monitored by the physiological data monitoring terminal. b , subtract the respiratory frequency in any sub-time region from the respiratory frequency in the optimal state and divide it by the respiratory frequency in the optimal state, add them up and calculate the average to get the respiratory frequency change amplitude, and use the formula to calculate the respiratory frequency mean and respiratory frequency change amplitude Calculate the breathing rate stability R of the target monitored user u , where b1 and b2 represent the influence coefficients of the mean respiratory rate and the respiratory rate variation amplitude on the respiratory rate stability, respectively.

7. The method for controlling the speed of a track of an intelligent treadmill according to claim 4, characterized in that: The motion state judgment requires the construction of the physiological state stability index warning value, including the first preset warning value, the second preset warning value and the third preset warning value. The calculated physiological state stability index is compared with the physiological state stability index warning value to judge the current motion state level of the target monitored user and adjust the track speed according to the motion state level.

8. The method for controlling the speed of a track of an intelligent treadmill according to claim 7, characterized in that: The motion state level determination implementation method is as follows: C1: When the physiological state stability index calculated in real time is less than the first preset warning value, it indicates that the target monitored user's exercise state is at a normal level, and there is no need to adjust the track speed of the smart treadmill; C2: When the physiological state stability index calculated in real time is greater than the first preset warning value and less than the second preset warning value, it indicates that the target monitored user's exercise state is in a state of mild fatigue, and the track speed of the smart treadmill needs to be slightly reduced; C3: When the physiological state stability index calculated in real time is greater than the second preset warning value and less than the third preset warning value, it indicates that the target monitored user's exercise state is in a moderate fatigue state, and the track speed of the smart treadmill needs to be significantly reduced; C4: When the physiological state stability index calculated in real time is greater than the third preset warning value, it indicates that the target monitored user's exercise state is in a state of severe fatigue, and the smart treadmill needs to be stopped immediately.

9. The method for controlling the speed of a track of an intelligent treadmill according to claim 1, characterized in that: The real-time monitoring of the user's exercise state, during the process of adjusting the track speed, if the physiological state stability index calculated by the heart rate and breathing frequency collected in real time by the physiological data monitoring terminal is less than the first preset warning value of the physiological state stability index warning value, the track speed adjustment of the smart treadmill is stopped.

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