阅读说明：本技术 一种应用于检力器的训练管理系统 (Training management system applied to force detector ) 是由 李昀 雷毅谈 杨俊燕 刘雄 蒋旭刚 魏晓 唐聃 孙云川 陈玉坪 于 2021-08-31 设计创作，主要内容包括：本发明涉及智能训练技术领域,具体为一种应用于检力器的训练管理系统,包括计数模块、体征检测模块、训练规划模块和训练绩效模块,所述计数模块设置于检力器内部,计数模块包括高度测量模块和计数器本方案通过检测检力器内部重锤的上升高度来记录用户训练量,实现了检力器训练的智能计数,所述体征检测模块检测的体征数据能够反映出用户的身体状态,本方案中训练规划模块根据用户历史体征数据以及训练记录生成对应的训练计划和训练指标,从而使得用户的体能训练与用户的实际身体健康状态之间的联系更加紧密,在减轻教练人员负担的同时还实现了检力器训练的智能规划。(The invention relates to the technical field of intelligent training, in particular to a training management system applied to a force detector, which comprises a counting module, a sign detection module, a training planning module and a training performance module, the counting module is arranged in the force detector and comprises a height measuring module and a counter, the scheme records the training amount of a user by detecting the rising height of a heavy hammer in the force detector, realizes the intelligent counting of the training of the force detector, the physical sign data detected by the physical sign detection module can reflect the physical state of the user, the training planning module in the scheme generates a corresponding training plan and a corresponding training index according to the historical physical sign data and the training record of the user, therefore, the physical training of the user is more closely associated with the actual physical health state of the user, and the intelligent planning of the training of the force detector is realized while the burden of coaches is reduced.)

1. The utility model provides a training management system for ergograph which characterized in that: the system comprises a counting module, a sign detection module, a training planning module and a training performance module, wherein the counting module is arranged in a force detector and comprises a height measuring module and a counter;

the height measuring module is used for detecting the rising height of a heavy hammer in the force detector, the counter is provided with a height threshold value, and the counter is used for recording the training amount of a user according to whether the rising height of the heavy hammer reaches the height threshold value;

the sign detection module is used for acquiring user sign data; the training planning module is used for generating a training plan and a training index according to the historical sign data and the historical training record of the user; and the training performance module is used for scoring the training amount of each training of the user according to the training index.

2. A training management system applied to a force detector as claimed in claim 1, wherein: the electromagnetic module comprises a current control module, a plurality of electromagnetic coils and an inductor group, the electromagnetic coils and the inductor group are both arranged in the force detector, and each electromagnetic coil is matched with one inductor;

the weight hammer is arranged in the electromagnetic coil, and when the weight hammer is detected by the sensor, the electromagnetic coil corresponding to the sensor is electrified and applies magnetic field force to the weight hammer;

the weight control module is used for sending a weight signal to the current control module, and the current control module is used for controlling the current passing through the electromagnetic coil according to the weight signal.

3. A training management system applied to a force detector as claimed in claim 2, wherein: the heavy hammer falling speed control device further comprises a speed reducing module, wherein the speed reducing module is used for calculating the falling speed of the heavy hammer and generating a speed reducing signal, and the current control module is also used for controlling the current passing through the electromagnetic coil according to the speed reducing signal.

4. A training management system applied to a force detector as claimed in claim 1, wherein: the vital sign data includes heart rate, body temperature, blood oxygen, and blood pressure.

5. The training management system applied to the force detector as claimed in claim 4, wherein: the system also comprises a frequency control module, wherein the frequency control module is used for controlling the data detection frequency of the user sign detection module.

6. A training management system applied to a force detector as claimed in claim 5, wherein: the system also comprises a health management module, wherein the health management module is used for establishing a user health model according to an artificial intelligence algorithm and judging the health state of the user through the user health module.

7. A training management system applied to a force detector as claimed in claim 6, wherein: the system also comprises a health early warning module, wherein the health early warning module is used for sending out early warning prompts when the user sign data are abnormal.

Technical Field

The invention relates to the technical field of intelligent training, in particular to a training management system applied to a force detector.

Background

In the production process of mines, a plurality of potential unsafe factors which can cause casualty accidents of mines exist, the mine exploitation has certain dangerousness due to the unsafe factors, and when the casualty accidents of the mines occur, mine rescue teams usually participate in mine rescue. However, mine rescue workers must work in a complex, narrow and closed environment consisting of high temperature, damp heat, toxic gas and explosive gas, and the requirements on physical performance are extremely strict, so that the mine rescue workers need to perform a great deal of physical performance training in daily life.

In current physical training, mine rescue team member can train self strength through the ergograph usually, the inside of ergograph is provided with a weight, the weight upper end is connected with the pulling force rope of pulling the weight, make the weight reciprocate to take exercise self through pulling the pulling force rope during user's training, but current ergograph does not have the automatic counting function usually, the user also takes exercise with fixed training plan when using the ergograph training, this kind of training mode generally needs to match the coach and guides, can make very big work burden to the coach when training the number of people is too much, influence the planning of training plan even, so need a training management system that can intelligent planning ergograph training now.

Disclosure of Invention

The technical problem solved by the invention is that the existing force detector is difficult to intelligently plan the training plan of the user.

The basic scheme provided by the invention is as follows: a training management system applied to a force detector comprises a counting module, a sign detection module, a training planning module and a training performance module, wherein the counting module is arranged in the force detector and comprises a height measuring module and a counter;

the height measuring module is used for detecting the rising height of a heavy hammer in the force detector, the counter is provided with a height threshold value, and the counter is used for recording the training amount of a user according to whether the rising height of the heavy hammer reaches the height threshold value;

the sign detection module is used for acquiring user sign data; the training planning module is used for generating a training plan and a training index according to the historical sign data and the historical training record of the user; and the training performance module is used for scoring the training amount of each training of the user according to the training index.

The principle and the advantages of the invention are as follows: according to the scheme, the user training amount is recorded by detecting the rising height of a heavy hammer in the force detector, the intelligent counting of the training of the force detector is realized, the physical sign data detected by the physical sign detection module can reflect the body state of a user, and the training planning module generates a corresponding training plan and training indexes according to the historical physical sign data and the training record of the user, so that the connection between the training of the user and the actual body health state of the user is tighter, and the intelligent planning of the training of the force detector is realized while the burden of coaches is relieved.

The electromagnetic module comprises a current control module, a plurality of electromagnetic coils and an inductor group, wherein the electromagnetic coils and the inductor group are arranged in the force detector, and each electromagnetic coil is matched with one inductor;

the weight hammer is arranged in the electromagnetic coil, and when the weight hammer is detected by the sensor, the electromagnetic coil corresponding to the sensor is electrified and applies magnetic field force to the weight hammer;

the weight control module is used for sending a weight signal to the current control module, and the current control module is used for controlling the current passing through the electromagnetic coil according to the weight signal.

Has the advantages that: through the effect of control magnetic field application power to the counter weight to make the weight that the detector can control the counter weight according to user's demand, the counter weight of current detector is mostly all fixed, compares that this scheme obviously more can accord with more user's demand.

The device further comprises a speed reduction module, wherein the speed reduction module is used for calculating the falling speed of the heavy hammer and generating a speed reduction signal, and the current control module is also used for controlling the current passing through the electromagnetic coil according to the speed reduction signal.

Has the advantages that: the falling speed of the heavy hammer is slowed down by controlling the magnetic field, so that the sound generated by the falling impact of the heavy hammer is reduced, and the noise pollution is reduced.

Further, the vital sign data includes heart rate, body temperature, blood oxygen, and blood pressure.

Has the advantages that: collecting data from multiple angles can make the analysis of the health status of the user more accurate during training.

Further, the system also comprises a frequency control module, wherein the frequency control module is used for controlling the data detection frequency of the user sign detection module.

Has the advantages that: the data detection frequency of the physical sign detection module is controlled to reduce the acquisition of invalid data, so that the energy-saving effect is achieved.

The system further comprises a health management module, wherein the health management module is used for establishing a user health model according to an artificial intelligence algorithm and judging the body health state of the user through the user health module.

Has the advantages that: the body health state of the user is judged through the artificial intelligence algorithm, so that the judgment on the body health state of the user is more accurate.

The system further comprises a health early warning module, wherein the health early warning module is used for sending out early warning prompts when the user sign data are abnormal.

Has the advantages that: the abnormal condition of the user sign data is monitored, early warning is given out, whether the body of the user is uncomfortable or not can be found in time when the user trains, and therefore guarantee is provided for the life health and safety of the user.

Drawings

FIG. 1 is a logic block diagram of a training management system applied to a force detector according to the present invention.

FIG. 2 is a logic block diagram of an electromagnetic module of a training management system applied to a force detector.

Detailed Description

The following is further detailed by way of specific embodiments:

the specific implementation process is as follows:

example one

In one embodiment, as shown in fig. 1, a training management system applied to a force detector includes an electromagnetic module, a weight control module, a deceleration module, a counting module, a frequency control module, a health management module, a health pre-warning module, a physical sign detection module, a training planning module, and a training performance module.

As shown in fig. 2, the electromagnetic module includes a current control module, a plurality of electromagnetic coils and an inductor set, the electromagnetic coils and the inductor set are both disposed inside the force detector, and each electromagnetic coil is matched with one inductor. In this embodiment, the weight is cylindric, adopts the metal to make, and the weight sets up inside solenoid, and the weight top is connected with the pulling force rope that pulls the weight, and the user drives the weight through pulling the pulling force rope and reciprocates during the training to play the exercise effect to physical strength.

The weight control module sends a weight signal to the current control module according to the weight information, and the current control module is used for controlling the current passing through the electromagnetic coil according to the weight signal.

Specifically, after the weight is detected by the sensor, the sensor sends a sensing signal to the current control module, the current control module controls the electromagnetic coil corresponding to the sensor to be electrified according to the weight signal, the strength of a magnetic field generated after the electromagnetic coil is electrified changes according to the magnitude of the current, the gravity borne by the weight under the action of the magnetic field is superposed with the magnetic field force, the weight of the weight is changed accordingly, and the weight of the weight is controlled accordingly.

In addition, when the heavy hammer falls, the speed reduction module is used for calculating the falling speed of the heavy hammer, generating a speed reduction signal according to the falling speed and sending the speed reduction signal to the current control module, and the current control module controls the current size and the current direction passing through the electromagnetic coil according to the speed reduction signal, so that the heavy hammer is subjected to vertical upward magnetic field force, the magnetic field force is opposite to the gravity direction and plays a role in offsetting, the downward acceleration of the heavy hammer is changed, the falling speed of the heavy hammer is reduced, the noise generated when the heavy hammer falls to the ground is also reduced, and the beneficial effect of reducing noise pollution is achieved.

Sign detection module in this embodiment adopts and includes data acquisition module and reads the ware, it sets up inside examining the strength ware to read the ware, data acquisition module adopts the motion bracelet. The motion bracelet is provided with storage module, time-recorder, frequency control module, rhythm of the heart sensor, temperature sensor, blood oxygen sensor and blood pressure sensor, storage module is used for saving user information, and when the user worn the motion bracelet and used the examination power ware to move, read the ware discernment and take notes user's training condition, the training condition is including training number of times and training volume at every turn, the training volume carries out data acquisition by the count module, it is specific, the count module includes height measurement module and counter, and height measurement module in this embodiment adopts photoelectric sensor, through the displacement data of photoelectric sensor detection weight, is equipped with high threshold value in the time-recorder, the time-recorder is the training volume of recording user when the weight rises highly to reach high threshold value.

The frequency control module is used for controlling the data detection frequency of the heart rate sensor, the temperature sensor, the blood oxygen sensor and the blood pressure sensor according to the signals of the timer, the data acquisition frequency in the embodiment is once a second, excessive repeated data are acquired in a short time by controlling the data acquisition frequency, and the energy-saving effect is achieved while the invalid data acquisition amount is reduced.

The heart rate sensor, the temperature sensor, the blood oxygen sensor and the blood pressure sensor are used for detecting physical sign data of a user including heart rate, body temperature, blood oxygen and blood pressure; the training planning module is used for generating a training plan and a training index according to the real-time sign data, the historical sign data and the training record of the user. Specifically, the training record comprises training times and a training amount of each training, the training planning module is used for generating a corresponding training plan according to the training record of the past month, the training planning module is also used for inquiring the closest historical sign data according to the real-time sign data of the user, and then generating a training index according to the training amount of the training record corresponding to the historical sign data; the training plan and the training index generated by the method are more in line with the actual physical condition of the user, and the condition that the planned exercise amount is too much or too little is avoided.

The health management module adopts an artificial intelligence-based mode to evaluate the physical health state of the user, and specifically comprises a BP neural network module used for judging the physical health state of the user according to sign data. The BP neural network module comprises a BP neural network model, the BP neural network module judges the health state of the user by using a BP neural network technology, specifically, a three-layer BP neural network model is firstly constructed, the model comprises an input layer, a hidden layer and an output layer, in the embodiment, the gender, the age, the heart rate, the body temperature, the blood oxygen and the blood pressure of the user are taken asThe input of the input layer is 6 nodes, and the output is the judgment of the physical health state of the user, so that 1 node is total; for hidden layers, the present embodiment uses the following formula to determine the number of hidden layer nodes:where l is the number of nodes of the hidden layer, n is the number of nodes of the input layer, m is the number of nodes of the output layer, and a is a number between 1 and 10, which is taken as 6 in this embodiment, so that the hidden layer has 9 nodes in total. BP neural networks typically employ Sigmoid differentiable functions and linear functions as the excitation function of the network. The S-type tangent function tansig is chosen herein as the excitation function for hidden layer neurons. The prediction model selects an S-shaped logarithmic function tansig as an excitation function of neurons of an output layer. After the BP network model is constructed, training the model by using historical sign data and training records in a historical database as samples, and obtaining a more accurate judgment result through the model obtained after training of the historical sign data and the training records. The physical health status of the user in this embodiment includes three statuses, which are health, discomfort and danger.

When the physical health state of the user is in an uncomfortable state, the health early warning module sends out an early warning prompt to remind the user to adjust the physical state; when the body health state of the user is in a dangerous state, the health early warning module can send out a dangerous alarm to remind a manager to initiate rescue for the user, and guarantee is provided for the life health safety of the user.

The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.