阅读说明：本技术 智能跑步训练方法及其系统 (Intelligent running training method and system thereof ) 是由 高伟东 胡炜 于 2021-08-02 设计创作，主要内容包括：本发明提供一种智能跑步训练方法及其系统,包括：获取用户的个人参数、选择的训练方案和设定的训练时长；按照用户选择的训练方案驱动跑步机在用户设定的训练时长内运行；实时监测用户跑步过程中的各项参数,其中,所述参数包括：动力学参数、生理参数,和/或生化参数；依据所述用户的动力学参数、生理参数,和/或生化参数实时调整所述跑步机的运行速度,用以解决现有技术中盲目跑步效果不明显,甚至造成身体损伤的缺陷,实现跑步效率的最大化,提高跑者的跑步能力,并有助于跑者养成良好的跑步习惯,降低运动风险。(The invention provides an intelligent running training method and a system thereof, comprising the following steps: acquiring personal parameters of a user, a selected training scheme and set training duration; driving the running machine to run within the training duration set by the user according to the training scheme selected by the user; monitoring various parameters of a user in a running process in real time, wherein the parameters comprise: kinetic, physiological, and/or biochemical parameters; the running speed of the treadmill is adjusted in real time according to the kinetic parameters, the physiological parameters and/or the biochemical parameters of the user, so that the defects that blind running effect is not obvious and even body damage is caused in the prior art are overcome, the running efficiency is maximized, the running capacity of a runner is improved, a good running habit of the runner is facilitated, and the exercise risk is reduced.)

1. An intelligent running training method is characterized by comprising the following steps:

s1, acquiring personal parameters of a user, a selected training scheme and set training duration;

s2, driving the running machine to run within the training duration set by the user according to the training scheme selected by the user;

s3, monitoring various parameters of the user in the running process in real time, wherein the parameters comprise: kinetic, physiological, and/or biochemical parameters;

and S4, adjusting the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters and/or the biochemical parameters of the user.

2. The intelligent running training method of claim 1,

the personal parameter is a maximum heart rate value of the user; the maximum heart rate value is obtained by measurement or estimation through an empirical formula; the dynamic parameters are gait parameters, including step frequency, gait cycle and abnormal gait cycle ratio; the physiological parameter is a heart rate value; the biochemical parameter is a blood lactate concentration value, and the blood lactate concentration value is obtained by analyzing sweat components of a user.

3. The intelligent running training method of claim 2, wherein after monitoring parameters of the user during running in real time, the method further comprises:

s5, judging whether the parameters exceed the preset standard in real time; if yes, sending abnormal alarm information to the user; if not, continuously monitoring and judging various parameters in the running process of the user;

wherein, the condition that the parameter exceeds the preset standard comprises at least one of the following conditions:

the heart rate value is greater than a maximum heart rate value of the user;

the blood lactic acid concentration value is greater than a preset concentration threshold value;

the average step frequency calculated by the step frequency is lower than a preset step frequency threshold value;

the abnormal gait cycle occupation ratio is higher than a preset occupation ratio threshold value.

4. The intelligent running training method according to claim 1, before adjusting the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters, and/or the biochemical parameters of the user, further comprising: temporally aligning the kinetic, physiological, and/or biochemical parameters.

5. An intelligent running training system, comprising:

the input module is used for inputting personal parameters of a user, selecting a training scheme and setting training duration;

the driving module is used for driving the running machine to run within a set training duration according to a training scheme selected by a user;

wearing detection module for each item parameter value among the real-time supervision user's running process, wherein, the parameter value includes: kinetic, physiological, and/or biochemical parameters; and

and the decision-making module is connected with the driving module and is used for adjusting the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters and/or the biochemical parameters of the user.

6. The intelligent running training system of claim 5, wherein the personal parameter is a maximum heart rate value of the user; the maximum heart rate value is obtained by measurement or estimation through an empirical formula; the dynamic parameters are gait parameters, including step frequency, gait cycle and abnormal gait cycle ratio; the physiological parameter is a heart rate value; the biochemical parameter is a blood lactate concentration value, and the blood lactate concentration value is obtained by analyzing sweat components of a user.

7. The intelligent running training system of claim 6, further comprising:

the alarm module is used for sending abnormal alarm information to a user when the parameter acquired by the wearing detection module is judged to exceed the preset standard;

wherein, the condition that the parameter exceeds the preset standard comprises at least one of the following conditions:

the heart rate value is greater than a maximum heart rate value of the user;

the blood lactic acid concentration value is greater than a preset concentration threshold value;

the average step frequency calculated by the step frequency is lower than a preset step frequency threshold value;

the abnormal gait cycle occupation ratio is higher than a preset occupation ratio threshold value.

8. The intelligent running training system of claim 5, further comprising:

and the data synchronization module is used for temporally aligning the kinetic parameters, the physiological parameters and/or the biochemical parameters acquired by the wearing detection module.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the intelligent running training method according to any one of claims 1 to 4.

10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the intelligent running training method according to any one of claims 1 to 4.

Technical Field

The invention relates to the technical field of exercise training, in particular to an intelligent running training method and system.

Background

The heavy life and working pressure threatens people more and more, the health consciousness of people is gradually improved, and more people take part in body building and exercise. Running is used as a basic movement mode, is simple and easy to implement, has no special requirements on exercise places and time, and can be used for exercising regardless of the age or the sex, and both men and women. Therefore, in modern social life, the team for running and body building becomes more and more huge. Running exercise can not only improve immunity, but also promote blood circulation, and make body stronger and stronger. The method is mainly characterized in that:

(1) in the area of fat-reducing shaping, running is one of the most effective exercises recognized;

(2) during running, a large amount of oxygen can be absorbed, so that the circulation speed of blood is accelerated, the metabolism function is improved, and the working capacity of the heart is improved;

(3) during running, the lung capacity can be better improved, and the lung function is enhanced;

(4) the willingness and willingness of the runner who does not give up can be exercised in the running process.

The benefits brought to the user by long-term running are many, but the condition of running is not easy, a plurality of people do not go on running and even give up with some difficulty, and most commonly, the running is not obvious after a long time, and the user chooses to give up because the expected return is not achieved. Meanwhile, many runners do not carry out running plans reasonably designed according to self conditions and running training scientifically, so that corresponding running skills are lacked, consciousness of various injuries is avoided, and the like, and the corresponding planning on the step frequency, the mileage and the like is not carried out. The unplanned, chapter-free and random running can cause various injuries to the body and disorder of energy metabolism of the body, so that the health condition of the body does not rise or fall.

Disclosure of Invention

The invention provides an intelligent running training method and system, which are used for solving the defects that the blind running effect is not obvious and even the body is damaged in the prior art, realizing the maximization of the running efficiency, improving the running ability of a runner, helping the runner to develop a good running habit and reducing the exercise risk.

The invention provides an intelligent running training method, which comprises the following steps:

s1, acquiring personal parameters of a user, a selected training scheme and set training duration;

s2, driving the running machine to run within the training duration set by the user according to the training scheme selected by the user;

s3, monitoring various parameters of the user in the running process in real time, wherein the parameters comprise: kinetic, physiological, and/or biochemical parameters;

and S4, adjusting the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters and/or the biochemical parameters of the user.

Preferably, the personal parameter is a maximum heart rate value of the user; the maximum heart rate value is obtained by measurement or estimation through an empirical formula; the dynamic parameters are gait parameters, including step frequency, gait cycle and abnormal gait cycle ratio; the physiological parameter is a heart rate value; the biochemical parameter is a blood lactate concentration value, and the blood lactate concentration value is obtained by analyzing sweat components of a user.

Preferably, after monitoring various parameters of the user during running in real time, the method further includes:

s5, judging whether the parameters exceed the preset standard in real time; if yes, sending abnormal alarm information to the user; if not, continuously monitoring and judging various parameters in the running process of the user;

wherein, the condition that the parameter exceeds the preset standard comprises at least one of the following conditions:

the heart rate value is greater than a maximum heart rate value of the user;

the blood lactic acid concentration value is greater than a preset concentration threshold value;

the average step frequency calculated by the step frequency is lower than a preset step frequency threshold value;

the abnormal gait cycle occupation ratio is higher than a preset occupation ratio threshold value.

Preferably, before adjusting the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters, and/or the biochemical parameters of the user, the method further comprises: temporally aligning the kinetic, physiological, and/or biochemical parameters.

The invention also provides an intelligent running training system, which comprises:

the input module is used for inputting personal parameters of a user, selecting a training scheme and setting training duration;

the driving module is used for driving the running machine to run within a set training duration according to a training scheme selected by a user;

wearing detection module for each item parameter value among the real-time supervision user's running process, wherein, the parameter value includes: kinetic, physiological, and/or biochemical parameters; and

and the decision-making module is connected with the driving module and is used for adjusting the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters and/or the biochemical parameters of the user.

Preferably, the personal parameter is a maximum heart rate value of the user; the maximum heart rate value is obtained by measurement or estimation through an empirical formula; the dynamic parameters are gait parameters, including step frequency, gait cycle and abnormal gait cycle ratio; the physiological parameter is a heart rate value; the biochemical parameter is a blood lactate concentration value, and the blood lactate concentration value is obtained by analyzing sweat components of a user.

Preferably, the method further comprises the following steps:

the alarm module is used for sending abnormal alarm information to a user when the parameter acquired by the wearing detection module is judged to exceed the preset standard;

wherein, the condition that the parameter exceeds the preset standard comprises at least one of the following conditions:

the heart rate value is greater than a maximum heart rate value of the user;

the blood lactic acid concentration value is greater than a preset concentration threshold value;

the average step frequency calculated by the step frequency is lower than a preset step frequency threshold value;

the abnormal gait cycle occupation ratio is higher than a preset occupation ratio threshold value.

Preferably, the method further comprises the following steps:

and the data synchronization module is used for temporally aligning the kinetic parameters, the physiological parameters and/or the biochemical parameters acquired by the wearing detection module.

The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the intelligent running training method.

The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the intelligent running training method as any one of the above.

According to the intelligent running training method and the system thereof provided by the invention, the running machine is driven to run within the training duration set by the user by acquiring the personal parameters, the selected training scheme and the set training duration of the user according to the training scheme selected by the user, then the kinetic parameters, the physiological parameters and/or the biochemical parameters of the runner in the running process are collected in real time, and the running speed of the running machine is adjusted in real time according to the acquired parameter values, so that the running efficiency is maximized, the running capacity of the runner is improved, and meanwhile, the good running habit of the runner can be developed, and the running risk is reduced.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of an intelligent running training method provided by the present invention;

FIG. 2 is a second schematic flow chart of the intelligent running training method provided in the present invention;

FIG. 3 is a schematic flow chart of the intelligent running training method provided by the present invention under the easy running training scheme;

FIG. 4 is a schematic flow chart of the intelligent running training method provided by the present invention under the marathon running training scheme;

FIG. 5 is a schematic flow chart of the intelligent running training method of the present invention under a lactic acid threshold running training program;

FIG. 6 is a schematic flow chart of the intelligent running training method provided by the present invention under the intermittent running training scheme;

FIG. 7 is a schematic structural diagram of an intelligent running training system provided by the present invention;

FIG. 8 is a second schematic structural diagram of the intelligent running training system provided in the present invention;

fig. 9 illustrates a physical structure diagram of an electronic device.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The intelligent running training method of the present invention is described below with reference to fig. 1 and 2, and the method includes:

s1, acquiring personal parameters of a user, a selected training scheme and set training duration; wherein the personal parameter is a maximum heart rate value of the user;

s2, driving the running machine to run within the training duration set by the user according to the training scheme selected by the user;

specifically, the maximum heart rate value of the user is obtained, and when the user trains in the selected training scheme and the set training duration, the maximum heart rate value is used as the highest upper limit for monitoring the heart rate value, and the exercise intensity is controlled, so that the exercise risk is avoided. Meanwhile, the maximum heart rate value is obtained, and the target heart rates of various running training schemes are obtained.

S3, monitoring various parameters of the user in the running process in real time, wherein the parameters comprise: kinetic, physiological, and/or biochemical parameters; the dynamic parameters are gait parameters, including step frequency, gait cycle and abnormal gait cycle ratio; the physiological parameter is a heart rate value; the biochemical parameter is a blood lactate concentration value.

And S4, adjusting the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters and/or the biochemical parameters of the user.

Specifically, various parameters such as dynamic parameters, physiological parameters and/or biochemical parameters of the user are monitored in real time in the running process of the user, the monitored parameter values are compared with parameter range values corresponding to the training scheme selected by the user, the running speed of the running machine can be automatically adjusted according to the monitored parameter values, namely, the running speed of the runner is automatically adjusted, so that the running efficiency is maximized, the running capacity of the runner is improved, and meanwhile, the running habit of the runner can be developed, and the exercise risk is reduced.

It will be appreciated that the maximum heart rate value is estimated by measurement or empirical formulas; the blood lactate concentration value is obtained by analyzing the sweat composition of the user.

S5, after monitoring various parameters of the user in the running process in real time, judging whether the parameters exceed a preset standard in real time; if yes, sending abnormal alarm information to the user; and if not, continuously monitoring and judging various parameters in the running process of the user.

Specifically, any one of the following conditions is satisfied, namely, the abnormal warning information is sent to the user:

the heart rate value is greater than a maximum heart rate value of the user;

the blood lactic acid concentration value is greater than a preset concentration threshold value;

the average step frequency calculated by the step frequency is lower than a preset step frequency threshold value;

the abnormal gait cycle occupation ratio is higher than a preset occupation ratio threshold value.

Preferably, before the running speed of the treadmill is adjusted in real time according to the kinetic parameters, the physiological parameters and/or the biochemical parameters of the user, the kinetic parameters, the physiological parameters and/or the biochemical parameters are aligned in time. Thereby ensuring the time synchronism of the acquired parameters and facilitating the more accurate adjustment of the speed of the treadmill by using the acquired parameters.

Preferably, the training regimen is customized in the present invention to: the multifunctional exercise machine is suitable for four types of easy running of daily exercise, marathon speed matching running suitable for marathon match speed matching training, lactic acid threshold running suitable for improving muscle endurance and strengthening the body's ability to remove blood lactic acid, and intermittent running suitable for improving aerobic ability and maximum oxygen uptake;

the easy running, the marathon running and the intermittent running are divided according to different interval ranges of the target heart rate; the interval range of the target heart rate is as follows: [ kXHR ]_max×(1-a),k×HR_max×(1+a)]K is a constant, and the value range is [0.65,0.78 ] when the training scheme is easy running](ii) a When the training scheme is marathon racing, the value range is [0.8,0.89 ]](ii) a When the training scheme is intermittent running and is in a fast running state, the value range is [0.975,1.0 ]]；HR_maxIs the maximum heart rate value; a is a constant, and the value range is (0, 1);

the lactic acid threshold level is controlled according to a target lactic acid concentration interval, wherein the target lactic acid concentration interval is as follows: [ 4X (1-b),4] mmol/L, b is a constant and the value range is (0, 1).

Specifically, four training schemes of easy running, marathon running, lactic acid threshold running and intermittent running are set in the intelligent running training method, under the modes of easy running, marathon running and intermittent running, the speed of the treadmill is controlled in the training process mainly by taking a heart rate interval determined according to the maximum heart rate value of a user as a standard, and under the mode of lactic acid threshold running, the speed of the treadmill is controlled mainly according to the concentration value range of blood lactic acid.

Among them, easy running e (easy running) is the most basic type of running that everyone can choose. When the patient runs easily, the patient can run very loosely, the blood pumping capacity of the heart is enhanced, and the body can generate certain resistance to injuries and diseases. According to the set target heart rate interval, when the user selects the E running training scheme, as shown in fig. 3, whether the heart rate of the user is in the target heart rate interval or not can be monitored in real time, when the heart rate of the user is lower than the lower limit of the E running target heart rate interval, the speed of the treadmill is increased by one step length, and when the heart rate of the user is higher than the upper limit of the E running target heart rate interval, the speed of the treadmill is decreased by one step length, and then the heart rate of the user is continuously monitored, so that the continuous speed of the treadmill is adjusted, the user is guaranteed to exercise the heart muscle (increase the output per stroke, the heart rate is decreased) under the E running scheme, fat is reduced, and the training effect of a bone system (ligament/tendon/bone/joint) is enhanced.

Marathon racing M (Marathon-pace running) refers to training performed at a planned Marathon race match. The difference between marathon running and easy running is that more fat can be consumed. According to the target heart rate interval of setting for, the user is when selecting M to run the training scheme, as shown in fig. 4, whether can real time monitoring user's heart rate be at target heart rate interval, when user's heart rate is less than M and runs target heart rate interval lower limit, treadmill speed increases a step length, and when user's heart rate is higher than M and runs target heart rate interval upper limit, treadmill speed reduces a step length, then continue to monitor user's heart rate, so that the speed to the treadmill that lasts adjusts, guarantee that the user trains target matching velocity under M runs the scheme, and practice drinking water and supply under this matching velocity, strengthen the training effect of participating in the confidence.

Threshold running is the critical point reflecting the conversion of the body from aerobic to anaerobic energy, at which the rate of running is the fastest during the aerobic phase, and at a rate faster than this, rapidly collapses due to a sharp surge in lactic acid. Research shows that when the lactic acid threshold running is carried out, the blood lactic acid reaches 4mmol/L and the concentration is kept to be most suitable stably. Thus, in the present invention, the upper limit of the target lactate concentration interval is set to 4mmol, and according to the set target lactate concentration interval, when the user selects the tee training program, as shown in fig. 5, it can be monitored in real time whether the blood lactate concentration level of sweat of the user is within the target lactate concentration interval, when the blood lactic acid concentration of the user is lower than the lower limit of the T-running target lactic acid concentration interval, the speed of the treadmill is increased by one step length, when the blood lactic acid concentration of the user is higher than the upper limit of the T-running target heart rate interval, the speed of the treadmill is reduced by one step length, then continue to monitor user's blood lactic acid concentration to the speed to the treadmill of continuation is adjusted, guarantees that the user reaches the training effect that strengthens the ability of health to clear away blood lactic acid, improves muscle endurance, lets the health maintain longer time under harsher pace under the T runs the scheme.

Intermittent running i (intermittent training) refers to a training method in which after one exercise or a group of exercises, the time is strictly controlled, and the next exercise is performed without completely recovering the body. Intermittent running consists of running alternating with rest, and the intensity or speed of running is usually greater and faster than when running continuously. According to the set target heart rate interval, when the user selects the I-run training scheme, as shown in fig. 6, whether the heart rate of the user in the fast running state is within the target heart rate interval can be monitored in real time, when the heart rate of the user in the running process is within the set target heart rate interval, the speed of the treadmill is reduced to the preset intermittent speed after the treadmill runs at the current speed for the preset training time, and then the treadmill recovers the preset speed to enable the user to run for the preset training time; when the user rhythm of the heart is less than I and runs the interval lower limit of target rhythm of the heart, treadmill speed increases a step length, and when the user rhythm of the heart is higher than I and runs the interval upper limit of target rhythm of the heart, treadmill speed reduces a step length, then continue to monitor user's rhythm of the heart to in the speed of continuous to the treadmill adjusts, guarantee that the user runs under the scheme at I and reach improvement aerobic capacity, the biggest oxygen uptake, break through the endurance of running and the training effect of speed.

The intelligent running training system provided by the present invention is described below with reference to fig. 7 to 8, and the intelligent running training system described below and the intelligent running training method described above may be referred to correspondingly.

The system comprises:

an input module 110, a drive module 120, a wear detection module 130, and a decision module 140, wherein,

the input module 110 is used for inputting personal parameters of a user, selecting a training scheme and setting training duration;

the driving module 120 is configured to drive the treadmill to run within a set training duration according to a training scheme selected by a user;

the wearable detection module 130 is used for monitoring various parameter values of the user in the running process in real time, wherein the parameter values include: kinetic, physiological, and/or biochemical parameters; and

the decision module 140 is connected to the driving module 120, and is configured to adjust the running speed of the treadmill in real time according to the kinetic parameters, the physiological parameters, and/or the biochemical parameters of the user.

The dynamic parameters are gait parameters, including step frequency, gait cycle and abnormal gait cycle ratio; the physiological parameter is a heart rate value; the biochemical parameter is a blood lactate concentration value.

Specifically, before the user performs the running training, the user can connect the intelligent equipment such as a mobile phone and a tablet personal computer as an input module with a driving module of the treadmill, then input personal parameters of the user on the intelligent equipment, select a training scheme, and set a desired training duration, then the driving module drives the treadmill to run at a preset slower speed according to the training scheme selected by the user until reaching a speed corresponding to the training scheme, so that the user can gradually adapt to the training scheme, and the dynamic parameters in the running training, such as the change of the step frequency, the gait and the like, can reflect whether the training scheme of the user meets the running ability and the body conditions of the user, the blood-lactic acid concentration of the biochemical parameter reflects a critical point of the body for converting from aerobic energy supply to anaerobic energy supply, under the intensity, the running distribution speed is the fastest in the aerobic energy supply stage and is faster than the speed, the lactic acid rises sharply and quickly breaks away. Therefore, various parameters such as gait parameters, heart rate values and blood lactic acid concentration values of the user are monitored in real time in the running process of the user, the monitored parameter values are combined with the training scheme selected by the user to comprehensively analyze to adjust the running speed of the running machine, namely, the running speed of the runner is automatically, comprehensively and scientifically adjusted, one-sidedness of the running machine speed adjustment through the heart rate of the user is avoided, the running efficiency is maximized, the running capacity of the runner is improved, and meanwhile, the runner can be helped to develop good running habits and reduce the running risk.

The wearable detection module can be divided into a dynamic detection device, a physiological parameter detection device and a biochemical parameter detection device according to different acquired parameter values, and the dynamic detection device is used for detecting dynamic parameters; the physiological parameter detection equipment is used for detecting physiological parameters such as heart rate and the like; the biochemical parameter detection equipment is used for detecting biochemical parameters such as blood lactic acid concentration values.

Because of human individual difference, the rhythm of the heart all slightly distinguishes, and the biggest rhythm of the heart that can bear also has the difference, and the training of running can make the rhythm of the heart take place obvious change, when the motion is exceedingly excited, can make the rhythm of the heart surpass the biggest rhythm of the heart value that the individual can bear, and then cause the motion damage, threaten life even.

Thus, in one embodiment, the personal parameter is a maximum heart rate value of the user, and the maximum heart rate value can be obtained through measurement or estimation by an empirical formula such as 220-age.

In addition, the gait frequency, the gait cycle and the proportion of the abnormal gait cycle (abnormal gait cycle proportion is abnormal gait cycle number/gait cycle number) can reflect the gait condition of the user under the selected training scheme more comprehensively, and therefore the gait frequency, the gait cycle and the proportion of the abnormal gait cycle are mainly acquired in the acquisition of the dynamic parameters.

The sweat component analysis can obtain blood lactic acid concentration value, through wear bracelet, bandeau, armlet, pectoral girdle, foot ring etc. and come the analysis as biochemical parameter check out test set to the sweat of the user who obtains in the motion process, the blood lactic acid concentration value that obtains the user that can be convenient.

When the user runs and trains according to the selected training scheme, all parameter values of the body are always in a monitoring state, but when one of the parameter values of the user is seriously deviated from a normal value, the purpose of avoiding the user from exercise damage in time is difficult to achieve by simply adjusting the speed of the treadmill, and then the exercise damage is generated, and even the life safety is threatened.

Therefore, in one embodiment, the intelligent running training system further comprises:

the alarm module 150 is configured to send abnormal alarm information to the user when it is determined that the parameter obtained by the wearing detection module 130 exceeds a predetermined standard, that is, the alarm information is provided to the user in time in an acoustic, optical, and screen display light manner, so as to avoid damage caused by blind training.

When any one of the following conditions occurs, the alarm module is triggered to send abnormal alarm information to the user so as to ensure the motion safety of the user:

the heart rate value is greater than a maximum heart rate value of the user;

the blood lactic acid concentration value is greater than a preset concentration threshold value;

the average step frequency calculated by the step frequency is lower than a preset step frequency threshold value;

the abnormal gait cycle occupation ratio is higher than a preset occupation ratio threshold value.

It can be understood that, in the system, a plurality of parameter values including kinetic parameters, physiological parameters and/or biochemical parameters are acquired for the adjustment of the pace of the user in the running training process, and the synchronization of the acquisition time of each parameter value directly influences the accuracy of the treadmill speed adjustment.

Thus, in one embodiment, the system further comprises a data synchronization module 160 for temporally aligning the kinetic, physiological, and/or biochemical parameters acquired by the wearable detection module.

The intelligent running training system provided by the embodiment of the invention utilizes the wearable equipment to collect the dynamic parameters, the physiological parameters and/or the biochemical parameters of the runner in the exercise process in real time, and automatically adjusts the running speed of the runner by combining the running ability and the body condition of the runner, thereby maximizing the running efficiency, improving the running ability of the runner, being simultaneously beneficial to the runner to develop good running habits and reducing the exercise risk.

Fig. 9 illustrates a physical structure diagram of an electronic device, and as shown in fig. 9, the electronic device may include: a processor (processor)910, a communication Interface (Communications Interface)920, a memory (memory)930, and a communication bus 940, wherein the processor 910, the communication Interface 920, and the memory 930 communicate with each other via the communication bus 940. Processor 910 may invoke logic instructions in memory 930 to perform an intelligent running training method comprising: acquiring personal parameters of a user, a selected training scheme and set training duration; driving the running machine to run within the training duration set by the user according to the training scheme selected by the user; monitoring various parameters of a user in a running process in real time, wherein the parameters comprise: gait parameters, heart rate values, and blood lactate concentration values; and adjusting the running speed of the treadmill in real time according to the gait parameters, the heart rate value and the blood lactic acid concentration value of the user.

Furthermore, the logic instructions in the memory 930 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the intelligent running training method provided by the above methods, the method comprising: acquiring personal parameters of a user, a selected training scheme and set training duration; driving the running machine to run within the training duration set by the user according to the training scheme selected by the user; monitoring various parameters of a user in a running process in real time, wherein the parameters comprise: gait parameters, heart rate values, and blood lactate concentration values; and adjusting the running speed of the treadmill in real time according to the gait parameters, the heart rate value and the blood lactic acid concentration value of the user.

In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, is implemented to perform the intelligent running training method provided above, the method comprising: acquiring personal parameters of a user, a selected training scheme and set training duration; driving the running machine to run within the training duration set by the user according to the training scheme selected by the user; monitoring various parameters of a user in a running process in real time, wherein the parameters comprise: gait parameters, heart rate values, and blood lactate concentration values; and adjusting the running speed of the treadmill in real time according to the gait parameters, the heart rate value and the blood lactic acid concentration value of the user.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.