CN113018799B - Method and terminal for realizing strength training - Google Patents

Abstract

The invention discloses a method and a terminal for realizing strength training, which can acquire parameter data in the strength training process in real time, determine adjustment data corresponding to the parameter data in real time by adopting a data adjustment method corresponding to the parameter data, adjust the parameter data in the strength training process in real time according to the adjustment data, acquire the parameter data in the strength training process in real time, determine the adjustment data in real time by adopting a data adjustment method corresponding to the adjustment data, and adjust the parameter data in real time according to the adjustment data, so that the parameter data in the strength training can be adjusted in real time to adapt to different strength training conditions, and the effectiveness of the strength training is improved.

Description

A method and terminal for realizing strength training

technical field

The invention relates to the technical field of strength training, in particular to a method and terminal for realizing strength training.

Background technique

Strength training refers to an exercise method in which the body overcomes resistance to achieve the purpose of strengthening muscles; strength training can stimulate muscle growth, make muscles stronger, and promote rapid fat burning. In the existing technology, more and more intelligent strength training equipment is used, which can help users complete strength training. During the training process, there will be various parameter data, including digital strength, system resistance, friction, etc., due to strength training equipment. The long-term use and the situation of each strength training are different, and if these data are not monitored and adjusted, the effectiveness of strength training will be greatly affected.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to provide a method and a terminal for realizing strength training, which can improve the effectiveness of strength training.

In order to solve the above-mentioned technical problems, a kind of technical scheme adopted in the present invention is:

A method of achieving strength training, comprising the steps of:

Real-time acquisition of parameter data during strength training;

Use the data adjustment method corresponding to the parameter data to determine the adjustment data corresponding to the parameter data in real time;

The parameter data in the strength training process is adjusted in real time according to the adjustment data.

In order to solve the above-mentioned technical problems, another technical scheme adopted by the present invention is:

A terminal for realizing strength training, comprising a memory, a processor and a computer program stored on the memory and running on the processor, the processor implements the following steps when executing the computer program:

Real-time acquisition of parameter data during strength training;

Use the data adjustment method corresponding to the parameter data to determine the adjustment data corresponding to the parameter data in real time;

The parameter data in the strength training process is adjusted in real time according to the adjustment data.

The beneficial effects of the present invention are:

By acquiring the parameter data in the process of strength training in real time, using the corresponding data adjustment method to determine the adjustment data in real time, and adjusting the parameter data in real time according to it, the parameter data in the strength training can be adjusted in real time to adapt to different The strength training situation improves the effectiveness of strength training.

Description of drawings

1 is a flow chart of steps of a method for realizing strength training according to an embodiment of the present invention;

2 is a schematic structural diagram of a method for realizing strength training according to an embodiment of the present invention;

3 is a flowchart of obtaining output load adjustment data in a method for implementing strength training according to an embodiment of the present invention;

4 is a schematic structural diagram of a fitness equipment for performing strength training in a method for implementing strength training according to an embodiment of the present invention.

Detailed ways

In order to describe in detail the technical content, achieved objects and effects of the present invention, the following descriptions are given with reference to the embodiments and the accompanying drawings.

Please refer to FIG. 1, an embodiment of the present invention provides a method for realizing strength training, including the steps:

Real-time acquisition of parameter data during strength training;

Use the data adjustment method corresponding to the parameter data to determine the adjustment data corresponding to the parameter data in real time;

The parameter data in the strength training process is adjusted in real time according to the adjustment data.

As can be seen from the above description, the beneficial effects of the present invention are: by acquiring the parameter data in the process of strength training in real time, using the corresponding data adjustment method to determine the adjustment data in real time, and adjusting the parameter data in real time according to it, it is possible to adjust the parameter data in the strength training process in real time. The parameter data can be adjusted in real time to adapt to different strength training situations and improve the effectiveness of strength training.

Further, the parameter data includes friction force;

The S2 includes:

Obtain the training state, speed state, acceleration, pulling force and the digital force displayed by the training device in real time during the strength training process, and determine the friction force corresponding to the friction force in real time according to the training state, speed state, acceleration, pulling force and the digital force displayed by the training device. friction adjustment data;

The S3 includes:

The friction force during the strength training process is eliminated in real time according to the friction force adjustment data.

Further, the training state includes concentric contraction and eccentric extension;

the speed state includes acceleration and deceleration;

The determination of the friction force adjustment data corresponding to the friction force in real time according to the training state, speed state, acceleration, pulling force and the digital force displayed by the training device in real time includes:

If the speed state is the acceleration and the training state is the concentric contraction, the friction force adjustment data f corresponding to the friction force is:

f=F-mg-ma;

If the speed state is the deceleration and the training state is the concentric contraction, the friction force adjustment data f corresponding to the friction force is:

f=F-mg+ma;

If the speed state is the acceleration and the training state is the centrifugal stretching, the friction force adjustment data f corresponding to the friction force is:

f=mg-ma-F;

If the speed state is the deceleration and the training state is the eccentric stretching, the friction force adjustment data f corresponding to the friction force is:

f=mg+ma-F;

In the formula, m represents the digital force, g represents the gravitational acceleration, a represents the acceleration, and F represents the pulling force.

It can be seen from the above description that under normal circumstances, due to the user's use of strength training equipment from the initial position to the end position, the equipment (dumbbells, barbells, etc.) will accelerate from speed 0 to a certain speed and then decelerate to speed 0. There is acceleration in the process of deceleration, and there is also system friction, and different training states have different friction forces from speed states. The friction force adjustment data is obtained by acquiring the training state and speed state in real time, and the friction force is adjusted according to it. Eliminates, effectively eliminates friction during strength training.

Further, the parameter data includes resistance;

The S2 includes:

establishing a regression analysis model corresponding to the resistance, where the regression analysis model represents the corresponding relationship between the resistance and the digital strength displayed by the corresponding training equipment;

Obtain the digital strength displayed by the training equipment corresponding to the resistance in real time;

Obtain resistance adjustment data corresponding to the resistance according to the regression analysis model and the digital force;

The S3 includes:

The resistance in the strength training process is compensated in real time according to the resistance adjustment data.

Further, the described establishment of the regression analysis model corresponding to the resistance includes:

Use the discrete sampling method to calculate the resistance corresponding to different digital forces, and obtain the resistance set;

Perform regression analysis on the resistance set and its corresponding digital force set to obtain the regression analysis model.

It can be seen from the above description that due to the system resistance of strength training equipment, and due to batch differences and equipment usage, there will be differences in system resistance. The discrete sampling and regression analysis methods are used to establish a regression analysis model. The digital strength obtains the resistance adjustment data, which can compensate the resistance obtained in real time, so that there is no difference between the digital strength output by the strength training equipment and the set digital strength due to resistance, which improves the effectiveness of strength training.

Further, the parameter data includes digital power;

The S2 includes:

Acquiring in real time the preset stable speed corresponding to the digital power, the speed at the current moment, the speed at the previous moment corresponding to the speed at the current moment, and the output load at the previous moment;

Initialize output load adjustment data;

Obtain the difference between the current speed and the preset stable speed according to the current speed and the preset stable speed;

Obtain the difference between the speed at the current moment and the speed at the previous moment according to the speed at the current moment and the speed at the previous moment;

Obtain output load adjustment data corresponding to the digital power according to the difference between the current speed and the preset stable speed and the difference between the current speed and the previous speed;

The S3 includes:

The digital strength during the strength training process is adjusted in real time according to the output load adjustment data.

Further, obtaining the output load adjustment data corresponding to the digital power according to the difference between the speed at the current moment and the preset stable speed and the difference between the speed at the current moment and the speed at the previous moment includes: :

If the difference between the speed at the current moment and the preset stable speed and the difference between the speed at the current moment and the speed at the previous moment are both greater than the preset value, the output load adjustment data F(k) is: :

F(k)=F(k-1)+a*Error;

If the difference between the current speed and the preset stable speed is greater than the preset value, and the difference between the current speed and the previous speed is less than or equal to the preset value, or the If the difference between the speed at the current moment and the preset stable speed and the difference between the speed at the current moment and the speed at the previous moment are both less than or equal to the preset value, then the output load adjustment data F(k )for:

F(k)=F(k-1);

If the difference between the current speed and the preset stable speed is less than or equal to the preset value, and the difference between the current speed and the previous speed is greater than the preset value, then the The output load adjustment data F(k) is:

F(k)=F(k-1)+b*Error;

In the formula, F(k) represents the output load adjustment data at the current time k, a represents the first constant coefficient, b represents the second constant coefficient, and Error represents the difference between the current speed and the preset stable speed.

It can be seen from the above description that in the process of strength training, the digital strength needs to be adjusted in real time according to the needs of the user. The output load adjustment data is obtained based on the current speed, the preset stable speed and the speed at the previous moment. Adjusted to respond to user needs, enabling dynamic digital power.

Further, the parameter data includes a first motor torque and a second motor torque;

The S2 includes:

Determine in real time whether the torque of the first motor and the torque of the second motor are consistent according to the preset rules, if not, obtain torque adjustment data corresponding to the torque of the first motor and the torque of the second motor according to the preset motor self-calibration rules ;

The S3 includes:

The first motor torque and the second motor torque in the training process are corrected in real time according to the torque adjustment parameter.

It can be seen from the above description that due to the motor production process, it is impossible to make the performance of the two motors completely consistent, and after the strength training equipment is used for a long time, there may be differential demagnetization of the motors, resulting in differences in the actual output digital power of the left and right motors. Therefore, according to the preset motor self-calibration rules, the torque adjustment data corresponding to the first motor torque and the second motor torque are obtained, and the first motor torque and the second motor torque are corrected in real time according to the preset motor torque, so that the left and right motor torque correction is realized, The consistency of the left and right motors is ensured, so that the digital power output by the left and right motors is consistent, and the effectiveness of strength training is improved.

Further, it also includes the steps:

Obtain the training mode in the strength training process in real time;

Determine whether the training mode is a barbell bar mode, and if so, obtain the first motor rotation data, the second motor rotation data, the barbell bar motion state and the acceleration corresponding to the barbell bar mode;

Judging whether the rotation data of the first motor and the rotation data of the second motor are consistent and neither exceeds the preset safety threshold; , if yes, then cut off the barbell bar mode, if not, judge whether the acceleration is approximately equal to a preset abnormal value, if yes, then cut off the barbell bar mode.

It can be seen from the above description that due to the training postures such as bench press and squat in the barbell bar mode, the barbell bar will be pressed on the human body, which has a certain system risk. According to the obtained first motor rotation data corresponding to the barbell bar mode , the rotation data of the second motor, the movement state of the barbell bar and the acceleration to determine whether the current barbell bar mode is in an unsafe state. safety of strength training.

Referring to FIG. 2, another embodiment of the present invention provides a terminal for implementing strength training, including a memory, a processor, and a computer program stored in the memory and running on the processor, the processor executing all Each step in the above-mentioned method for implementing strength training is implemented when the computer program is described.

Example 1

Name Explanation:

Concentric contraction: the muscle contracts, the motor is passively reversed, and the user does work on the motor;

Centrifugal stretch: muscle stretches, the motor actively rotates forward, and the motor does work for the user;

The structure of the fitness equipment for strength training in this embodiment is shown in Figure 4, including:

User interface: the user interacts through the user interface, such as setting digital strength, training mode, viewing exercise results, etc.;

Brakes: including brakes A and B, brakes A and B can be independent, such as handles, or can be connected to brakes A and B, such as barbell bars;

Tension cable: connect the brake and the three-phase motor, and the cable is wound on the three-phase motor body;

Three-phase motor: including three-phase motor A and three-phase motor B;

Position sensor: using magnetic encoder, rotary optical encoder and other sensors;

Controller: Through the digital power information set by the user, the current information fed back by the three-phase motor, the position information of the position sensor, the time information, etc., the calculation is performed, and the real-time three-phase current information is finally obtained, which is output to the three-phase motor;

Power supply: meet the power supply requirements of the equipment;

Energy unloading module: The whole process includes two stages of the three-phase motor working on the brake and the brake working on the three-phase motor (that is, the forward and reverse rotation of the three-phase motor). When the brake works on the three-phase motor, it is necessary to The extra energy is released to ensure that the system works safely;

Body: meet the design and use requirements of the overall system;

Please refer to FIG. 1 , a method for realizing strength training of the present embodiment includes the steps:

S1. Real-time acquisition of parameter data in the process of strength training;

Wherein, the parameter data includes friction force;

Specifically, the friction force of the equipment during the strength training process is obtained in real time;

S2, adopt the data adjustment method corresponding to the parameter data to determine the adjustment data corresponding to the parameter data in real time;

Specifically, the training state, speed state, acceleration, pulling force and the digital strength displayed by the training equipment are acquired in real time during the strength training process, and the The friction force adjustment data corresponding to the friction force;

Preferably, the tensile force can be acquired in real time through an external tensile force sensor;

Wherein, the training state includes concentric contraction and eccentric extension;

the speed state includes acceleration and deceleration;

The real-time determination of the friction force adjustment data corresponding to the friction force according to the training state, the speed state, the acceleration, the pulling force and the digital force displayed by the training equipment includes:

If the speed state is the acceleration and the training state is the concentric contraction, the friction force adjustment data f corresponding to the friction force is:

f=F-mg-ma;

If the speed state is the deceleration and the training state is the concentric contraction, the friction force adjustment data f corresponding to the friction force is:

f=F-mg+ma;

If the speed state is the acceleration and the training state is the centrifugal stretching, the friction force adjustment data f corresponding to the friction force is:

f=mg-ma-F;

If the speed state is the deceleration and the training state is the eccentric stretching, the friction force adjustment data f corresponding to the friction force is:

f=mg+ma-F;

In the formula, m represents the digital force, g represents the acceleration of gravity, a represents the acceleration, and F represents the pulling force;

S3, adjusting the parameter data in the strength training process in real time according to the adjustment data;

Specifically, the friction force during the strength training process is eliminated in real time according to the friction force adjustment data;

In the traditional case, due to the movement process from the initial position to the end position when the user uses the traditional training equipment, the equipment (dumbbells, barbells, etc.) will be accelerated from a speed of 0 to a certain speed and then decelerated to a state of 0. In this process, there is an acceleration a, and there is also equipment friction, and this embodiment realizes real-time elimination of friction by simulating the sense of force change with acceleration of traditional training equipment.

Embodiment 2

Please refer to FIG. 1 , this embodiment further defines how to adjust the resistance in the process of strength training in real time on the basis of the first embodiment, specifically:

The parameter data in the S1 includes resistance;

Specifically, obtain the equipment resistance during the strength training process in real time;

The S2 includes:

establishing a regression analysis model corresponding to the resistance, where the regression analysis model represents the corresponding relationship between the resistance and the digital strength displayed by the corresponding training equipment;

Among them, the discrete sampling method is used to calculate the resistance corresponding to different digital forces, and the resistance set is obtained;

Perform regression analysis on the resistance set and its corresponding digital power set to obtain the regression analysis model;

Specifically, due to the different digital forces F, the equipment resistance f is also different, take 5kg as the growth unit to test the resistance corresponding to the digital forces of 5-50kg respectively, and obtain the resistance set {f5, f10, f15, ..., f50};

Perform regression analysis on the resistance set {f5, f10, f15, ..., f50} and the digital force set {F5, F10, F15, ..., F50}, and get the regression analysis equation;

Obtain the digital strength displayed by the training equipment corresponding to the resistance in real time;

Obtain resistance adjustment data corresponding to the resistance according to the regression analysis model and the digital force;

The S3 includes:

The resistance in the strength training process is compensated in real time according to the resistance adjustment data.

Embodiment 3

Please refer to Figures 1 and 3, this embodiment further defines how to adjust the digital strength in the process of strength training in real time on the basis of Embodiment 1 or Embodiment 2, specifically:

Users can set digital strength on the user interface of fitness equipment according to their training needs;

The parameter data in the S1 includes digital power;

Specifically, real-time access to digital strength during strength training;

The S2 includes:

Acquiring in real time the preset stable speed corresponding to the digital power, the speed at the current moment, the speed at the previous moment corresponding to the speed at the current moment, and the output load at the previous moment;

Initialize output load adjustment data;

Obtain the difference between the current speed and the preset stable speed according to the current speed and the preset stable speed;

Obtain the difference between the speed at the current moment and the speed at the previous moment according to the speed at the current moment and the speed at the previous moment;

Obtain output load adjustment data corresponding to the digital power according to the difference between the current speed and the preset stable speed and the difference between the current speed and the previous speed;

Wherein, if the difference between the speed at the current moment and the preset stable speed and the difference between the speed at the current moment and the speed at the previous moment are both greater than the preset value, the output load adjustment data F(k )for:

F(k)=F(k-1)+a*Error;

If the difference between the current speed and the preset stable speed is greater than the preset value, and the difference between the current speed and the previous speed is less than or equal to the preset value, or the If the difference between the speed at the current moment and the preset stable speed and the difference between the speed at the current moment and the speed at the previous moment are both less than or equal to the preset value, then the output load adjustment data F(k )for:

F(k)=F(k-1);

If the difference between the current speed and the preset stable speed is less than or equal to the preset value, and the difference between the current speed and the previous speed is greater than the preset value, then the The output load adjustment data F(k) is:

F(k)=F(k-1)+b*Error;

In the formula, F(k) represents the output load adjustment data at the current moment k, a represents the first constant coefficient, b represents the second constant coefficient, and Error represents the difference between the speed at the current moment and the preset stable speed;

Wherein, the preset value is 0;

Specifically, as shown in Figure 3, Vref, V(k), V(k-1) and F(k-1) corresponding to digital power are obtained in real time;

Initialize the output load adjustment data F(k) to the preset initial load F0, that is, F(k)=F0;

Calculate the difference Error between V(k) and Vref, that is, Error=V(k)-Vref;

Calculate the difference Verror between V(k) and V(k-1), that is, Verror=V(k)-V(k-1);

Judge whether Error is greater than 0, if so, judge whether Verror is greater than 0, if so, update F(k)=F(k-1)+a*Error, otherwise update F(k)=F(k-1);

If not, then judge whether Verror is less than or equal to 0, if so, update F(k)=F(k-1), if not, update F(k)=F(k-1)+b*Error;

In the formula, F(k) represents the output load adjustment data at the current moment k, a represents the first constant coefficient, b represents the second constant coefficient, and Error represents the difference between the speed at the current moment and the preset stable speed;

Among them, F(k) needs to be limited, that is, F(k) should be between F0 and the preset maximum load Fref;

The S3 includes:

adjusting the digital strength in the strength training process in real time according to the output load adjustment data;

The above part realizes the constant speed mode of strength training, that is, during the movement of concentric contraction or eccentric stretching, the system will stabilize at a certain set speed Vref, and respond to the user's addition and subtraction force by adjusting different digital forces in real time. ;

Among them, the training modes of strength training also include power-assisted mode, centrifugal mode and iron chain mode, and users can select the required training mode on the user interface of the fitness equipment;

In the assist mode, the previous motion range threshold and the current motion range threshold are obtained in real time. The motion range threshold refers to the distance change information of the user pulling the tension line (the absolute position information from the nearest end to the farthest end, that is, relative to the zero point of the tension line). distance);

If the current motion range threshold is between 10% and 90% of the previous motion range threshold, and the change of the position information within the preset time is less than the preset change value, reduce the digital strength;

In the eccentric mode, the training state is obtained in real time. If the training state is eccentric stretching, the digital strength will be increased during the eccentric stretching to achieve the purpose of efficient training;

In the iron chain mode, the training state is obtained in real time. If the training state is concentric contraction, the initial position, initial force and current position corresponding to the concentric contraction are obtained, and the current digital force is updated according to the initial position, initial force and current position. F1, that is, F1=F0+k(S-S0), F0 represents the initial force, k represents the constant coefficient, S represents the current position, and S0 represents the initial position.

Embodiment 4

Referring to FIG. 1 , this embodiment further defines how to realize dual-motor torque correction during strength training on the basis of Embodiment 1, Embodiment 2 or Embodiment 3, specifically:

The parameter data in S1 includes the first motor torque and the second motor torque;

Specifically, acquiring the first motor torque and the second motor torque during the strength training process in real time;

The S2 includes:

Determine in real time whether the torque of the first motor and the torque of the second motor are consistent according to the preset rules, if not, obtain torque adjustment data corresponding to the torque of the first motor and the torque of the second motor according to the preset motor self-calibration rules ;

Specifically, if the motion state of the first motor and the second motor is synchronous and stationary when the digital power is slowly increased, it is determined that the torque of the first motor and the torque of the second motor are consistent. If the digital power is increased again, the first motor and the second motor If the motion state of the motor is asynchronous rotation (that is, one motor rotates first, and then drives the other motor), it is judged that the torque of the first motor is inconsistent with the torque of the second motor, and the torque of the first motor is obtained according to the preset motor self-calibration rule. torque adjustment data corresponding to the second motor torque;

The S3 includes:

The first motor torque and the second motor torque in the training process are corrected in real time according to the torque adjustment parameter.

Embodiment 5

This embodiment further defines how to perform real-time safety protection during the strength training process on the basis of Embodiment 1, Embodiment 2, Embodiment 3 or Embodiment 4, specifically:

Obtain the training mode in the strength training process in real time;

Determine whether the training mode is a barbell bar mode, and if so, obtain the first motor rotation data, the second motor rotation data, the barbell bar motion state and the acceleration corresponding to the barbell bar mode;

Among them, the barbell bar mode is to connect the brakes A and B, and then connect the three-phase motors A and B;

Judging whether the rotation data of the first motor and the rotation data of the second motor are consistent and neither exceeds the preset safety threshold; , if yes, then cut off the barbell bar mode, if not, judge whether the acceleration is approximately equal to the preset abnormal value, if so, then cut off the barbell bar mode;

Wherein, the abnormal state is that the barbell movement state is 0-20% or 80%-100% of the previous exercise cycle, and remains stationary for more than a preset time;

The preset time can be set according to the actual situation. In this embodiment, the preset time is 5 seconds, and the motion period is a complete action cycle, that is, moving from the closest position to the most distant position and then back to the closest end. Location;

The preset abnormal value i=(F-mg-f')/g, F represents the digital force corresponding to the barbell pattern, m represents the mass of the barbell, f' represents the friction force, and g represents the acceleration of gravity;

It should be noted that if the rotation data of the first motor is inconsistent with the rotation data of the second motor and both exceed the preset safety threshold, it means that the barbell is tilted, and the movement state of the barbell is abnormal, which means that the user is pressed by the barbell and cannot complete the action. , the acceleration is approximately equal to the preset abnormal value, which means that the barbell is out of hand. The transmission of the above three situations will trigger the cut-off mode of the barbell to achieve safety protection.

Embodiment 6

Please refer to FIG. 2 , a terminal for implementing strength training includes a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements Embodiment 1 when the processor executes the computer program , the steps in the second embodiment, the third embodiment, the fourth embodiment or the fifth embodiment.

To sum up, the present invention provides a method and terminal for realizing strength training, which acquires parameter data in the process of strength training in real time; adopts a data adjustment method corresponding to the parameter data to determine the adjustment corresponding to the parameter data in real time. According to the adjustment data, the parameter data in the strength training process is adjusted in real time, and the parameter data includes friction force, resistance, digital force, first motor torque and second motor torque, which can be used in strength training. In the process, the elimination of friction, compensation of resistance, dynamic digital strength and dual-motor torque correction are respectively realized, and when the training state is the barbell mode, the rotation data of the first motor and the rotation of the second motor corresponding to the obtained barbell mode are obtained. Data, barbell movement state and acceleration are used to judge whether the current barbell bar mode is in an unsafe state. If it is in an unsafe state, the barbell bar mode is cut off, which realizes the safety protection of the barbell bar mode and improves the effectiveness of strength training.

The above descriptions are only examples of the present invention, and are not intended to limit the scope of the present invention. Any equivalent transformations made by using the contents of the description and drawings of the present invention, or directly or indirectly applied in related technical fields, are similarly included in the within the scope of patent protection of the present invention.

Claims (8)

1. a method for realizing strength training, is characterized in that, comprises the steps: S1. Real-time acquisition of parameter data in the process of strength training; S2, adopt the data adjustment method corresponding to the parameter data to determine the adjustment data corresponding to the parameter data in real time; S3, adjusting the parameter data in the strength training process in real time according to the adjustment data; the parameter data includes friction; The S2 includes: Obtain the training state, speed state, acceleration, pulling force and the digital force displayed by the training device in real time during the strength training process, and determine the friction force corresponding to the friction force in real time according to the training state, speed state, acceleration, pulling force and the digital force displayed by the training device. friction adjustment data; The S3 includes: According to the friction force adjustment data, the friction force in the strength training process is eliminated in real time; The training state includes concentric contraction and eccentric extension; the speed state includes acceleration and deceleration; The determination of the friction force adjustment data corresponding to the friction force in real time according to the training state, speed state, acceleration, pulling force and the digital force displayed by the training device in real time includes: If the speed state is the acceleration and the training state is the concentric contraction, the friction force adjustment data f corresponding to the friction force is: f=F-mg-ma; If the speed state is the deceleration and the training state is the concentric contraction, the friction force adjustment data f corresponding to the friction force is: f=F-mg+ma; If the speed state is the acceleration and the training state is the centrifugal stretching, the friction force adjustment data f corresponding to the friction force is: f=mg-ma-F; If the speed state is the deceleration and the training state is the eccentric stretching, the friction force adjustment data f corresponding to the friction force is: f=mg+ma-F; In the formula, m represents the digital force, g represents the gravitational acceleration, a represents the acceleration, and F represents the pulling force. 2. The method for realizing strength training according to claim 1, wherein the parameter data comprises resistance; The S2 includes: establishing a regression analysis model corresponding to the resistance, where the regression analysis model represents the corresponding relationship between the resistance and the digital strength displayed by the corresponding training equipment; Obtain the digital strength displayed by the training equipment corresponding to the resistance in real time; Obtain resistance adjustment data corresponding to the resistance according to the regression analysis model and the digital force; The S3 includes: The resistance in the strength training process is compensated in real time according to the resistance adjustment data. 3. a kind of method for realizing strength training according to claim 2, is characterized in that, described establishing the regression analysis model corresponding to described resistance comprises: Use the discrete sampling method to calculate the resistance corresponding to different digital forces, and obtain the resistance set; Perform regression analysis on the resistance set and its corresponding digital force set to obtain the regression analysis model. 4. The method for realizing strength training according to claim 1, wherein the parameter data comprises digital strength; The S2 includes: Acquiring in real time the preset stable speed corresponding to the digital power, the speed at the current moment, the speed at the previous moment corresponding to the speed at the current moment, and the output load at the previous moment; Initialize output load adjustment data; Obtain the difference between the current speed and the preset stable speed according to the current speed and the preset stable speed; Obtain the difference between the speed at the current moment and the speed at the previous moment according to the speed at the current moment and the speed at the previous moment; Obtain output load adjustment data corresponding to the digital power according to the difference between the current speed and the preset stable speed and the difference between the current speed and the previous speed; The S3 includes: The digital strength during the strength training process is adjusted in real time according to the output load adjustment data. 5 . A method for realizing strength training according to claim 4 , wherein the method is based on the difference between the current speed and the preset stable speed and the current speed and the previous speed. 6 . The output load adjustment data corresponding to the digital power obtained from the difference in speed at the moment includes: If the difference between the speed at the current moment and the preset stable speed and the difference between the speed at the current moment and the speed at the previous moment are both greater than the preset value, the output load adjustment data F(k) is: : F(k)=F(k-1)+a*Error; If the difference between the current speed and the preset stable speed is greater than the preset value, and the difference between the current speed and the previous speed is less than or equal to the preset value, or the If the difference between the speed at the current moment and the preset stable speed and the difference between the speed at the current moment and the speed at the previous moment are all less than or equal to the preset value, then the output load adjustment data F(k )for: F(k)=F(k-1); If the difference between the current speed and the preset stable speed is less than or equal to the preset value, and the difference between the current speed and the previous speed is greater than the preset value, then the The output load adjustment data F(k) is: F(k)=F(k-1)+b*Error; In the formula, F(k) represents the output load adjustment data at the current time k, a represents the first constant coefficient, b represents the second constant coefficient, and Error represents the difference between the current speed and the preset stable speed. 6. The method for realizing strength training according to claim 1, wherein the parameter data comprises a first motor torque and a second motor torque; The S2 includes: Determine in real time whether the torque of the first motor and the torque of the second motor are consistent according to the preset rules, if not, obtain torque adjustment data corresponding to the torque of the first motor and the torque of the second motor according to the preset motor self-calibration rules ; The S3 includes: The first motor torque and the second motor torque in the training process are corrected in real time according to the torque adjustment parameter. 7. a kind of method of realizing strength training according to claim 1, is characterized in that, also comprises the step: Obtain the training mode in the strength training process in real time; Determine whether the training mode is the barbell bar mode, and if so, obtain the first motor rotation data, the second motor rotation data, the barbell bar motion state and the acceleration corresponding to the barbell bar mode; Judging whether the rotation data of the first motor and the rotation data of the second motor are consistent and neither exceeds the preset safety threshold; , if yes, then cut off the barbell bar mode, if not, judge whether the acceleration is approximately equal to a preset abnormal value, if yes, then cut off the barbell bar mode. 8. A terminal for realizing strength training, comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the claims when executing the computer program Each step in a method for realizing strength training described in any one of 1 to 7.

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