CN113680026B

CN113680026B - Intelligent auxiliary regulation and control method and device for supine plate

Info

Publication number: CN113680026B
Application number: CN202111252540.5A
Authority: CN
Inventors: 吴春飞
Original assignee: Nantong Langdi Machinery Technology Co ltd
Current assignee: Nantong Langdi Machinery Technology Co ltd
Priority date: 2021-10-27
Filing date: 2021-10-27
Publication date: 2021-12-17
Anticipated expiration: 2041-10-27
Also published as: CN113680026A

Abstract

The application discloses a supine plate intelligent auxiliary regulation and control method and a device, wherein the method comprises the following steps: by obtaining an experience user data set; obtaining a weight data set of each experience user; acquiring pressure information of each experience user at the first time based on a pressure sensor to obtain a pressure data set of each user; obtaining a set of pressure difference information for each user at the first time from the set of weight data and the set of pressure data for each user; generating a pressure difference information cluster tree for the experienced user; matching to obtain a training proficiency degree set of the experience users on the supination board; according to training proficiency degree set with the supplementary regulation and control device of intelligence is to the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence. The technical problem that the supine plate in the prior art cannot automatically adjust a proper supporting inclination angle based on the physical condition and the real-time training state of a user, so that the supine training intensity of the user cannot be dynamically adjusted is solved.

Description

Intelligent auxiliary regulation and control method and device for supine plate

Technical Field

The application relates to the field of artificial intelligence, in particular to an intelligent auxiliary regulation and control method and device for a supine plate.

Background

The sit-up fitness equipment, commonly called as sit-up board, is a fitness apparatus in gymnasiums, communities and even families, and has high popularization rate, so that daily exercise training is increasingly carried out through the sit-up board. Although the number of users of the sit-up board is large, the physical conditions and the basic qualities of different users are greatly different, so that the sit-up board is generally provided with a plurality of different inclination angles, the exercise intensities corresponding to the different inclination angles are different, and the personalized requirements of most users can be met. In the in-service use process, the user utilizes the board of lying on the back to move a period with certain intensity, and the health can consume too much energy, and the health state becomes gradually at this moment, and the reason should reduce training intensity, however in the actual motion process, the user often can't in time adjust the board inclination of lying on the back to lead to using experience to feel to descend, influence motion effect even. Therefore, the inclination angle of the supine plate can be intelligently regulated and controlled by monitoring the physical state and other information of the user in real time, the exercise intensity can be dynamically regulated, and the device has important significance.

In the process of implementing the technical solution in the embodiment of the present application, the inventor of the present application finds that the above-mentioned technology has at least the following technical problems:

the supine plate in the prior art has the technical problem that the proper supporting inclination angle cannot be automatically adjusted based on the physical condition and the real-time training state of a user, so that the supine training intensity of the user cannot be dynamically adjusted.

Disclosure of Invention

The application aims to provide an intelligent auxiliary regulation and control method and device for a supine plate, which are used for solving the technical problem that the supine plate in the prior art cannot automatically regulate a proper supporting inclination angle based on the physical condition and the real-time training state of a user, so that the supine training intensity of the user cannot be dynamically regulated.

In view of the above problems, the embodiment of the application provides an intelligent auxiliary regulation and control method and device for a supine plate.

In a first aspect, the present application provides an intelligent auxiliary control method for a supine board, which is implemented by an intelligent auxiliary control device for a supine board, wherein the method comprises: acquiring data of experience users of the supine plate based on big data to obtain an experience user data set; acquiring a weight data set of each experience user according to the experience user data set; acquiring pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the center of gravity of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the center of gravity of each experience user moves downwards to paste the back on the supine plate; obtaining a set of pressure difference information for each user at the first time from the set of weight data and the set of pressure data for each user; performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user; matching and obtaining a training proficiency degree set of each experience user on the supination board according to the pressure difference information clustering tree; according to training proficiency degree set with the supplementary regulation and control device of intelligence, to the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence, wherein, the supplementary regulation and control device of intelligence contains pressure sensor.

In another aspect, the present application further provides an intelligent auxiliary control device for a supine board, for performing the intelligent auxiliary control method for a supine board according to the first aspect, wherein the system includes: a first obtaining unit: the first obtaining unit is used for carrying out data acquisition on the experience user of the supine plate based on big data to obtain an experience user data set; a second obtaining unit: the second obtaining unit is used for obtaining a weight data set of each experience user according to the experience user data set; a third obtaining unit: the third obtaining unit is used for collecting pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the gravity center of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the gravity center of each experience user moves downwards to paste the back on the supine plate; a fourth obtaining unit: the fourth obtaining unit is used for obtaining a pressure difference information set of each user at the first time according to the weight data set and the pressure data sets of each user; a first generation unit: the first generation unit is used for performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user; a fifth obtaining unit: the fifth obtaining unit is used for matching and obtaining a training proficiency level set of the experience users on the supine plate according to the pressure difference information clustering tree; a first regulatory unit: the first regulation and control unit is used for according to the proficiency degree set of training with the supplementary regulation and control device of intelligence, it is right the support inclination of board of lying on the back carries out the supplementary regulation and control of intelligence, wherein, the supplementary regulation and control device of intelligence contains pressure sensor.

In a third aspect, an embodiment of the present application further provides an intelligent auxiliary control device for a supine plate, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

1. acquiring data of experience users of the supine plate based on big data to obtain an experience user data set; acquiring a weight data set of each experience user according to the experience user data set; acquiring pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the center of gravity of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the center of gravity of each experience user moves downwards to paste the back on the supine plate; obtaining a set of pressure difference information for each user at the first time from the set of weight data and the set of pressure data for each user; performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user; matching and obtaining a training proficiency degree set of each experience user on the supination board according to the pressure difference information clustering tree; according to training proficiency degree set with the supplementary regulation and control device of intelligence, to the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence, wherein, the supplementary regulation and control device of intelligence contains pressure sensor. Pressure difference of the user during supine training is monitored in real time based on physical indexes of the user, so that whether the user needs to assist in regulating and controlling the supporting inclination angle of the supine plate or not is judged, and the user is further intelligentized to dynamically regulate a proper gear, so that the user is guaranteed to conduct supine training with proper strength.

2. The redundant processing of the data used by the target experience user is completed by performing centralized processing and dimensionality reduction calculation on all the target experience user experience data, so that the complexity of subsequent data analysis is reduced, and meanwhile, the retained data has more universal applicability.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

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

Fig. 1 is a schematic flow chart of an intelligent auxiliary regulation and control method for a supine plate according to an embodiment of the present application;

FIG. 2 is a schematic diagram of hierarchical clustering;

fig. 3 is a schematic flow chart illustrating the intelligent regulation and control of the first proficiency level feature, the second proficiency level feature and the third proficiency level feature as regulation and control gears in the intelligent auxiliary regulation and control method for the supination plate according to the embodiment of the present application;

fig. 4 is a schematic flowchart of a process of projecting the first feature data set to the first feature vector to obtain a first dimension reduction data set in the intelligent auxiliary regulation and control method for a supine plate according to the embodiment of the present application;

fig. 5 is a schematic flow chart of a pressure difference information clustering tree that performs layer-by-layer recursive clustering on the average distance data set according to the class distribution data set until the pressure difference information set is generated in the intelligent auxiliary control method for a supine plate according to the embodiment of the present application;

FIG. 6 is a schematic structural diagram of an intelligent auxiliary control device for a supine plate according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.

Description of reference numerals:

a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first generating unit 15, a fifth obtaining unit 16, a first regulating unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.

Detailed Description

The embodiment of the application provides an intelligent auxiliary regulation and control method and device for a supine plate, and solves the technical problem that the supine plate in the prior art cannot automatically adjust a proper supporting inclination angle based on the physical condition and the real-time training state of a user, so that the supine training intensity of the user cannot be dynamically adjusted. Pressure difference of the user during supine training is monitored in real time based on physical indexes of the user, so that whether the user needs to assist in regulating and controlling the supporting inclination angle of the supine plate or not is judged, and the user is further intelligentized to dynamically regulate a proper gear, so that the user is guaranteed to conduct supine training with proper strength.

In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.

Summary of the application

In view of the above technical problems, the technical solution provided by the present application has the following general idea:

the application provides an intelligent auxiliary regulation and control method of a supination board, which is applied to an intelligent auxiliary regulation and control device of the supination board, wherein the method comprises the following steps: acquiring data of experience users of the supine plate based on big data to obtain an experience user data set; acquiring a weight data set of each experience user according to the experience user data set; acquiring pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the center of gravity of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the center of gravity of each experience user moves downwards to paste the back on the supine plate; obtaining a set of pressure difference information for each user at the first time from the set of weight data and the set of pressure data for each user; performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user; matching and obtaining a training proficiency degree set of each experience user on the supination board according to the pressure difference information clustering tree; according to training proficiency degree set with the supplementary regulation and control device of intelligence, to the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence, wherein, the supplementary regulation and control device of intelligence contains pressure sensor.

Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.

Example one

Referring to fig. 1, an embodiment of the present application provides an intelligent auxiliary control method for a supine board, where the method is applied to an intelligent auxiliary control device, and the device is applied to the supine board, and the method specifically includes the following steps:

step S100: based on big data, carrying out data acquisition on the experience user of the supine plate to obtain an experience user data set;

step S200: acquiring a weight data set of each experience user according to the experience user data set;

particularly, the intelligent auxiliary regulation and control method of the supine plate is applied to the intelligent auxiliary regulation and control device, the device is applied to the supine plate, and the user experience data of the supine plate provided with the intelligent auxiliary regulation and control device is collected and analyzed, so that the intelligent auxiliary regulation and control of the supporting inclination angle of the supine plate is realized, and the aim of intelligently assisting a user in regulating and controlling the supine plate is further realized. Firstly, carrying out corresponding use data acquisition on experience users of the supine plate provided with the intelligent auxiliary regulation and control device based on big data, and obtaining use data information of all experience users, namely the experience user data set. The experience user data set comprises basic information and body index information of each experience user, and corresponding data change information and the like when the supine plate is used. And further obtaining user weight information corresponding to all experience user data, wherein the weight data of all users form a weight data set of each experience user. Relevant data basis is provided for follow-up intelligent auxiliary regulation and control of the supine plate by collecting relevant data of all experience users.

Step S300: acquiring pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the center of gravity of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the center of gravity of each experience user moves downwards to paste the back on the supine plate;

specifically, a sensor (known as a transducer/sensor) is a detection device that can sense information to be measured and convert the sensed information into an electrical signal or other information in a desired form according to a certain rule, so as to meet the requirements of information transmission, processing, storage, display, recording, control, etc. The pressure sensor is installed in the intelligent auxiliary regulation and control device and used for acquiring the pressure of the body of the user on the supine plate during trial experience of the supine plate in real time. The first time is the time when the center of gravity moves down to the back-attached supine board when each experience user experiences the supine board.

And acquiring pressure data of all experience users on the supine plate during trial by using the pressure sensor, wherein the pressure data of the supine plate during the process that the gravity center of each experience user moves downwards to the back of the user to stick to the supine plate is formed, namely, each user pressure data set is formed. Through the pressure sensor, pressure data of all experience users at the first time are acquired, and a relevant data basis is provided for subsequent data analysis.

Step S400: obtaining a set of pressure difference information for each user at the first time from the set of weight data and the set of pressure data for each user;

specifically, according to weight information corresponding to all experienced user data and pressure data information corresponding to users, that is, according to the weight data set and the pressure data sets of the users, pressure difference information of the experienced users at the first time can be obtained, and the pressure difference information of the users at the first time forms the pressure difference information set of the first time. For example, if an experienced user weighs 70kg, the total body pressure of the experienced user is 700N, whereas if the user moves down the center of gravity and leans back on the supine plate, the pressure sensor collects 550N of the pressure of the user's body on the supine plate, and the pressure difference of the experienced user at the first time is 150N.

The pressure data corresponding to the user can be obtained through calculation of the weight data of the user, meanwhile, the actual pressure data at the first time is obtained through real-time collection of the pressure sensor, the difference between the two pressure data is the pressure difference information corresponding to the experience user, and the technical effect of determining the pressure difference data of all the experience users is achieved.

Step S500: performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user;

specifically, clustering is to divide a large number of unknown labeled data sets into a plurality of categories according to the inherent similarity of data, so that the data similarity in the categories is large and the data similarity among the categories is small. The hierarchical clustering refers to dividing a data set at different levels to form a tree-shaped clustering structure. The data set division can adopt a bottom-up aggregation strategy, namely, aggregation hierarchical clustering, and also can adopt a top-down splitting strategy, namely, split hierarchical clustering. As shown in fig. 2, it is a hierarchical clustering diagram. By performing hierarchical clustering analysis on all pressure difference data in the pressure difference information set, a pressure difference information clustering tree corresponding to the experience user can be generated.

Step S600: matching and obtaining a training proficiency degree set of each experience user on the supination board according to the pressure difference information clustering tree;

specifically, the proficiency degree of each experience user in training the supine plate is obtained through matching according to the pressure difference information clustering tree, namely, the greater the pressure difference is in the experience of the user, the greater the gravity center is infinitely close to the supine plate but the user does not completely attach to the supine plate, and then the corresponding user can be deduced to smoothly complete the supine action; on the contrary, if the center of gravity is pressed down on the supine plate, it is difficult for the user to complete the supine action, and the user may be a beginner, so the intelligent auxiliary control device automatically adjusts the inclination angle of the supine support, thereby assisting the user to enter the training smoothly. Reached through pressure difference information cluster tree further obtains each experience user and corresponds the use the proficiency degree that the board was trained on lying on the back is done the supplementary regulation and control device of intelligence is automatic to be regulated and control the board that lies on the back and is provided relevant data basis.

Step S700: according to training proficiency degree set with the supplementary regulation and control device of intelligence, to the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence, wherein, the supplementary regulation and control device of intelligence contains pressure sensor.

Specifically, the intelligent auxiliary control device comprises a pressure sensor. Trial according to each experience user the proficiency degree when the board of lying on the back trains with the supplementary regulation and control device of intelligence, user uses when the board of lying on the back trains, it is intelligent right the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence. Based on the actual condition of the user and the pressure data acquired by the pressure sensor in real time, the pressure difference data of the user when the center of gravity moves downwards and the user pastes the back on the supine plate is intelligently calculated, so that whether the supporting inclination angle of the supine plate needs to be adjusted and controlled in an auxiliary manner and the corresponding reasonable adjustment and control range are judged, and the technical aim of intelligently adjusting and controlling the supporting inclination angle of the supine plate in an auxiliary manner is finally achieved.

Further, as shown in fig. 3, step S600 in this embodiment of the present application further includes:

step S610: presetting an average pressure difference threshold value based on the big data;

step S620: according to the average pressure difference threshold value, segmenting the pressure difference information clustering tree to obtain first-order pressure difference clustering information, second-order pressure difference clustering information and third-order pressure difference clustering information, wherein the first-order pressure difference is higher than the average pressure difference threshold value, the second-order pressure difference is at the average pressure difference threshold value, and the third-order pressure difference is lower than the average pressure difference threshold value;

step S630: performing proficiency degree calibration on the first-order pressure difference clustering information to obtain a first proficiency degree characteristic, performing proficiency degree calibration on the second-order pressure difference clustering information to obtain a second proficiency degree characteristic, and performing proficiency degree calibration on the third-order pressure difference clustering information to obtain a third proficiency degree characteristic;

step S640: will first proficiency degree characteristic, second proficiency degree characteristic and third proficiency degree characteristic carry out intelligent control as the regulation and control gear.

Specifically, pressure difference data of all users using the supination plate can be obtained based on the big data, and an evaluation pressure difference range, namely a preset average pressure difference threshold value, is set in the supination plate auxiliary regulation and control device in advance based on all the pressure difference data. And segmenting all pressure difference data in the pressure difference information clustering tree according to the average pressure difference threshold value to obtain first-order pressure difference clustering information, second-order pressure difference clustering information and third-order pressure difference clustering information. Wherein a first order pressure differential is above the average pressure differential threshold, a second order pressure differential is at the average pressure differential threshold, and a third order pressure differential is below the average pressure differential threshold. That is, when the user pressure difference is in the first-order pressure difference clustering information, the corresponding user supine training basis is relatively good, and it is relatively easy to complete the supine action under the current support inclination angle; when the user pressure difference is in the second-order pressure difference clustering information, the corresponding user supination training basis is at an average level, the degree of difficulty in finishing supination movement under the current support inclination angle is also at a middle level, and the user can properly train without adjusting the support inclination angle; when the user pressure difference is in the three-order pressure difference clustering information, the corresponding user supination training foundation is relatively weak, and it is relatively difficult to complete supination movement under the current support inclination angle, and at this time, the support inclination angle should be properly adjusted.

Further, it is right respectively first-order pressure difference cluster information, second-order pressure difference cluster information with the proficiency degree that third-order pressure difference cluster information carries out corresponding is markd, first-order pressure difference cluster information corresponds proficiency degree better, second-order pressure difference cluster information corresponds proficiency degree between two parties, third-order pressure difference cluster information corresponds proficiency degree relatively poor, obtains corresponding first proficiency degree characteristic, second proficiency degree characteristic and third proficiency degree characteristic. And finally, carrying out intelligent regulation and control on the first proficiency degree characteristic, the second proficiency degree characteristic and the third proficiency degree characteristic as regulation and control gears. The skillful degree characteristics under different pressure differences are embodied, so that the regulation and control of the intelligent auxiliary regulation and control device have corresponding characteristic basis, and the technical effect of quantifying the intelligent regulation and control index is achieved.

Further, step S640 in the embodiment of the present application further includes:

step S641: determining a second support inclination angle of the supine plate according to the second proficiency characteristic, wherein the second support inclination angle is a standard support inclination angle;

step S642: determining a first support inclination angle of the supine plate according to the first proficiency characteristic, wherein the first support inclination angle is smaller than the standard support inclination angle;

step S643: determining a third support inclination angle of the supine plate according to the third proficiency characteristic, wherein the third support inclination angle is greater than the standard support inclination angle;

step S644: based on first consummate degree characteristic with first support inclination, confirm first regulation and control gear, based on second consummate degree characteristic with second support inclination, confirm second regulation and control gear, based on third consummate degree characteristic with third support inclination, confirm third regulation and control gear.

Specifically, according to the second proficiency characteristic, a support inclination angle corresponding to the supine plate, that is, the second support inclination angle, is determined. The second supporting inclination angle is a standard supporting inclination angle of the supine plate, and the second supporting inclination angle meets the strength requirement of most users on supine training. In the same way, determining a first support inclination angle of the supine plate according to the first proficiency characteristic, wherein the first support inclination angle is smaller than the standard support inclination angle, and is a support angle with lower training intensity designed for users with relatively weak bases; according to third proficiency degree characteristic, confirm the third of board of lying on the back supports inclination, wherein, the third supports inclination is greater than standard supports inclination, under the third supported inclination, the difficulty of lying on the back increases, is fit for the professional of frequent exercise training and uses.

Further, based on the first proficiency level characteristic and the first support inclination angle, determining a regulation gear corresponding to the supine plate, namely the first regulation gear; based on second consummate degree characteristic with second support inclination, confirm the regulation and control gear that the board of lying on the back corresponds promptly the second regulation and control gear, based on third consummate degree characteristic with third support inclination, confirm the regulation and control gear that the board of lying on the back corresponds promptly the third regulation and control gear. The technical aim of accurately regulating and controlling the gear of the supine plate in real time based on the pressure difference data in the training process of using the supine plate by the user is achieved, and accordingly corresponding auxiliary regulation and control are provided based on the actual situation of the user in a targeted manner.

step S645: according to the first regulation gear, the second regulation gear and the third regulation gear, an intelligent gear regulation sequence of the supine plate is constructed, and the intelligent gear regulation sequence is nested in the intelligent auxiliary regulation device;

step S646: acquiring actual weight information of a first purchasing user;

step S647: according to the actual weight information, acquiring actual pressure difference information when the center of gravity of the first purchasing user moves downwards and the first purchasing user backs on the supine plate;

step S648: uploading the actual pressure difference information to the intelligent gear regulating and controlling sequence, and matching to obtain a preset auxiliary gear of the first purchasing user;

step S649: and according to the intelligent auxiliary regulating and controlling device, intelligently and auxiliarily regulating and controlling the preset auxiliary gear.

Specifically, based on that the different proficiency of user corresponds first regulation and control gear, second regulation and control gear and third regulation and control gear, the construction the intelligence gear regulation and control sequence of board for lying on the back. Wherein the intelligent gear control sequence is nested in the intelligent auxiliary control device. Before a user buys and starts to use the supination plate, the actual weight data of the user is firstly input into the intelligent auxiliary control device, the device can calculate and obtain the actual pressure data of the user according to the actual weight information input by the user, meanwhile, when the user trains by using the supination plate, the sensor monitors the actual pressure difference information corresponding to the situation that the center of gravity of the user moves downwards and the supination plate is attached to the back in real time, the actual pressure difference information is uploaded to the intelligent gear control sequence, and in the intelligent gear control sequence, the standard gear corresponding to the actual pressure difference of the user is automatically matched, namely the first bought auxiliary gear of the user. And finally, according to the intelligent auxiliary regulation and control device, realizing the technical goal of intelligently and auxiliarily regulating and controlling the preset auxiliary gear.

Through the real weight data input by the user, the intelligent auxiliary control device automatically adjusts the corresponding supine plate to the standard gear corresponding to the weight of the user, and then the gear of the supine plate is intelligently and dynamically adjusted along with the pressure difference data monitored by the real-time sensor, so that the technical effect of personalized auxiliary control is achieved.

Further, step S100 in the embodiment of the present application further includes:

step S110: obtaining a feature set of a target experience user according to the supine plate, wherein the feature set comprises a gender feature set, a height difference feature set and a weight difference feature set;

step S120: and acquiring the target experience user based on the gender feature set, the height difference feature set and the weight difference feature set to generate a target experience user data set.

Specifically, firstly, the features of the target experience user are collected and recorded to form the feature set. Wherein the feature set comprises a gender feature set, a height difference feature set and a weight difference feature set of the target experience user. And the gender feature set, the height difference feature set and the weight difference feature set of all target experience users form the target experience user data set. The data collection and recording of all target user related data form a target experience user data set, and the data collection of target experience users with different weights, different sexes and different heights is achieved, so that the technical effects of determining all target experience user supine training related basic information and guaranteeing data diversity are achieved, the data of the experience users are more general representativeness, and the effectiveness of experience result analysis is further improved.

Further, as shown in fig. 4, step S120 in this embodiment of the present application further includes:

step S121: obtaining a first characteristic data set according to the target experience user data set;

step S122: performing centralized processing on the first characteristic data set to obtain a second characteristic data set;

step S123: obtaining a first covariance matrix of the second feature data set;

step S124: calculating the first covariance matrix to obtain a first eigenvalue and a first eigenvector of the first covariance matrix;

step S125: and projecting the first feature data set to the first feature vector to obtain a first dimension reduction data set, wherein the first dimension reduction data set is the feature data set obtained after dimension reduction of the first feature data set.

Specifically, a first feature data set is obtained from the target experience user data set. Wherein the first feature data set refers to any feature data set in the target experience user data set. And further performing centralized processing on the first characteristic data set, wherein the processed data is the second characteristic data set. Wherein, the centralization processing means that each item of data in the data set is subtracted by the mean value of the data set. For example, if there is a data set 1, 2, 3, 6, 3 with a mean of 3, then the data set after centering is 1-3, 2-3, 3-3, 6-3, 3-3, i.e.: -2, -1, 0, 3, 0, the data centralization process is to eliminate the influence of dimension on the data structure, because the unit is different between different variables, which causes bias of various statistics.

And further calculating to obtain the second characteristic data set covariance, wherein the covariance is used for measuring the total error of the two variables to form a corresponding first covariance matrix. And further obtaining an eigenvalue and an eigenvector corresponding to the first covariance matrix. And finally, projecting the corresponding characteristic value data set to the corresponding characteristic vector to obtain a corresponding first dimension reduction data set. Wherein the first dimension reduction dataset is a feature dataset obtained after dimension reduction of the first feature dataset. Through multi-round data processing and calculation, the redundant and miscellaneous processing of the data used by the target experience user is completed, so that the retained data has universal applicability, and the complexity of subsequent data analysis is reduced.

Further, as shown in fig. 5, step S500 in the embodiment of the present application further includes:

step S510: performing traversal access processing on the pressure difference information set to generate a first uniformly distributed data set;

step S520: defining data in the first evenly distributed data set as P clusters;

step S530: carrying out average calculation on pairwise distances of data points in the P clusters to obtain an average distance data set;

step S540: obtaining a class distribution data set according to the average distance data set, wherein the class distribution data set comprises a classification set with the minimum distance average value;

step S550: and according to the class distribution data set, carrying out layer-by-layer recursive clustering on the average distance data set until a pressure difference information clustering tree of the pressure difference information set is generated.

Specifically, the set of pressure difference information is subjected to traversal access processing, a first uniformly distributed data set is generated, and data in the first uniformly distributed data set is defined as P clusters. Wherein clustering refers to the process of dividing a set of physical or abstract objects into classes composed of similar objects. Further, carrying out average calculation on the pairwise distances of the data points in the P clusters to obtain an average distance data set of the distances of the data points in all the clusters. Wherein, the distance between each two data points can be obtained by calculating Euclidean distance. Comparing the average distance data sets to obtain the class distribution data set. Wherein the class distribution data set comprises a class set in which the data points are the smallest from the mean. And carrying out layer-by-layer recursive clustering on the average distance data set according to the class distribution data set until a pressure difference information clustering tree corresponding to the pressure difference information set is generated.

To sum up, the intelligent auxiliary regulation and control method for the supine plate provided by the embodiment of the application has the following technical effects:

Example two

Based on the intelligent auxiliary regulation and control method of the supine plate in the previous embodiment, the same inventive concept, the present invention further provides an intelligent auxiliary regulation and control device of the supine plate, please refer to fig. 6, the system includes:

the first obtaining unit 11: the first obtaining unit 11 is configured to perform data acquisition on the experience user of the supine plate based on big data, and obtain an experience user data set;

the second obtaining unit 12: the second obtaining unit 12 is configured to obtain a weight data set of each experience user according to the experience user data set;

the third obtaining unit 13: the third obtaining unit 13 is configured to collect pressure information of each experience user at a first time based on a pressure sensor, and obtain a pressure data set of each user, where the first time is a time when the center of gravity of each experience user moves down to paste the back on the supine plate, and the pressure information is a pressure on the supine plate when the center of gravity of each experience user moves down to paste the back on the supine plate;

the fourth obtaining unit 14: the fourth obtaining unit 14 is configured to obtain a set of pressure difference information of each user at the first time according to the set of weight data and the set of pressure data of each user;

the first generation unit 15: the first generating unit 15 is configured to perform hierarchical clustering analysis on the pressure difference information sets to generate a pressure difference information clustering tree of the experience user;

the fifth obtaining unit 16: the fifth obtaining unit 16 is configured to obtain a set of training proficiency level of the experience users on the supine plate in a matching manner according to the pressure difference information cluster tree;

first regulation and control unit 17: the first regulation and control unit 17 is used for carrying out intelligent auxiliary regulation and control on the support inclination angle of the supine plate according to the training proficiency set and the intelligent auxiliary regulation and control device, wherein the intelligent auxiliary regulation and control device comprises the pressure sensor.

Further, the system further comprises:

a first setting unit for presetting an average pressure difference threshold value based on big data;

a sixth obtaining unit, configured to divide the pressure difference information cluster tree according to the average pressure difference threshold value, and obtain first-order pressure difference cluster information, second-order pressure difference cluster information, and third-order pressure difference cluster information, where the first-order pressure difference is higher than the average pressure difference threshold value, the second-order pressure difference is at the average pressure difference threshold value, and the third-order pressure difference is lower than the average pressure difference threshold value;

the seventh obtaining unit is used for carrying out proficiency degree calibration on the first-order pressure difference clustering information to obtain a first proficiency degree characteristic, carrying out proficiency degree calibration on the second-order pressure difference clustering information to obtain a second proficiency degree characteristic, and carrying out proficiency degree calibration on the third-order pressure difference clustering information to obtain a third proficiency degree characteristic;

the second sets up the unit, the second sets up the unit and is used for will first proficiency degree characteristic the second proficiency degree characteristic and the third proficiency degree characteristic carries out intelligent control as the regulation and control gear.

Further, the system further comprises:

a third setting unit for determining a second support inclination angle of the supine plate according to the second proficiency characteristic, wherein the second support inclination angle is a standard support inclination angle;

a fourth setting unit for determining a first support inclination angle of the supine plate according to the first proficiency characteristic, wherein the first support inclination angle is smaller than the standard support inclination angle;

a fifth setting unit for determining a third support inclination angle of the supine plate according to the third proficiency characteristic, wherein the third support inclination angle is greater than the standard support inclination angle;

the sixth setting unit, the sixth setting unit is used for confirming first regulation and control gear based on first proficiency degree characteristic with first support inclination, confirms second regulation and control gear based on second proficiency degree characteristic with second support inclination, based on third proficiency degree characteristic with third support inclination, confirms third regulation and control gear.

Further, the system further comprises:

the first construction unit is used for constructing an intelligent gear control sequence of the supination plate according to the first control gear, the second control gear and the third control gear, and the intelligent gear control sequence is nested in the intelligent auxiliary control device;

an eighth obtaining unit, configured to obtain actual weight information of the first purchasing user;

a ninth obtaining unit, configured to obtain, according to the actual weight information, actual pressure difference information when the center of gravity of the first purchased user moves down and the back of the first purchased user is attached to the supine plate;

a tenth obtaining unit, configured to upload the actual pressure difference information to the intelligent gear control sequence, and obtain a preset auxiliary gear of the first purchasing user in a matching manner;

and the second regulation and control unit is used for intelligently and auxiliarily regulating and controlling the preset auxiliary gear according to the intelligent auxiliary regulation and control device.

Further, the system further comprises:

an eleventh obtaining unit, configured to obtain a feature set of a target experience user according to the supine board, where the feature set includes a gender feature set, a height difference feature set, and a weight difference feature set;

the first generating unit is used for collecting the target experience user based on the gender feature set, the height difference feature set and the weight difference feature set, and generating a target experience user data set.

Further, the system further comprises:

a twelfth obtaining unit, configured to obtain a first feature data set according to the target experience user data set;

a thirteenth obtaining unit, configured to perform centralized processing on the first feature data set to obtain a second feature data set;

a fourteenth obtaining unit, configured to obtain a first covariance matrix of the second feature data set;

a fifteenth obtaining unit, configured to perform an operation on the first covariance matrix to obtain a first eigenvalue and a first eigenvector of the first covariance matrix;

a sixteenth obtaining unit, configured to project the first feature data set to the first feature vector to obtain a first dimension reduction data set, where the first dimension reduction data set is a feature data set obtained after dimension reduction of the first feature data set.

Further, the system further comprises:

a second generation unit, configured to perform traversal access processing on the set of pressure difference information to generate a first uniformly distributed data set;

a seventh setting unit, configured to define the data in the first uniformly distributed data set as P clusters;

a seventeenth obtaining unit, configured to perform average calculation on pairwise distances of respective data points in the P clusters to obtain an average distance data set;

an eighteenth obtaining unit, configured to obtain a class distribution data set according to the average distance data set, where the class distribution data set includes a classification set with a minimum distance average;

and the third generation unit is used for carrying out layer-by-layer recursive clustering on the average distance data set according to the class distribution data set until a pressure difference information clustering tree of the pressure difference information set is generated.

In the present specification, each embodiment is described in a progressive manner, and the main point of each embodiment is that the embodiment is different from other embodiments, the aforementioned intelligent auxiliary control method for a supine plate in the first embodiment of fig. 1 and the specific example are also applicable to the intelligent auxiliary control device for a supine plate in the present embodiment, and through the aforementioned detailed description of the intelligent auxiliary control method for a supine plate, a person skilled in the art can clearly know the intelligent auxiliary control device for a supine plate in the present embodiment, so for the brevity of the description, detailed description is not repeated here. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The electronic apparatus of the embodiment of the present application is described below with reference to fig. 7.

Fig. 7 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.

Based on the inventive concept of the intelligent auxiliary control method for supine plate in the foregoing embodiments, the present invention further provides an intelligent auxiliary control device for supine plate, on which a computer program is stored, which when executed by a processor implements the steps of any one of the foregoing intelligent auxiliary control methods for supine plate.

Where in fig. 7 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.

The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.

The application provides an intelligent auxiliary regulation and control method of a supination board, which is applied to an intelligent auxiliary regulation and control device of the supination board, wherein the method comprises the following steps: acquiring data of experience users of the supine plate based on big data to obtain an experience user data set; acquiring a weight data set of each experience user according to the experience user data set; acquiring pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the center of gravity of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the center of gravity of each experience user moves downwards to paste the back on the supine plate; obtaining a set of pressure difference information for each user at the first time from the set of weight data and the set of pressure data for each user; performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user; matching and obtaining a training proficiency degree set of each experience user on the supination board according to the pressure difference information clustering tree; according to training proficiency degree set with the supplementary regulation and control device of intelligence, to the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence, wherein, the supplementary regulation and control device of intelligence contains pressure sensor. The technical problem that the supine plate in the prior art cannot automatically adjust a proper supporting inclination angle based on the physical condition and the real-time training state of a user, so that the supine training intensity of the user cannot be dynamically adjusted is solved. Pressure difference of the user during supine training is monitored in real time based on physical indexes of the user, so that whether the user needs to assist in regulating and controlling the supporting inclination angle of the supine plate or not is judged, and the user is further intelligentized to dynamically regulate a proper gear, so that the user is guaranteed to conduct supine training with proper strength.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application is in the form of a computer program product that may be embodied on one or more computer-usable storage media having computer-usable program code embodied therewith. And such computer-usable storage media include, but are not limited to: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk Memory, a Compact Disc Read-Only Memory (CD-ROM), and an optical Memory.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. An intelligent auxiliary regulation and control method for a supination board, wherein the method is applied to an intelligent auxiliary regulation and control device, the device is applied to the supination board, and the method comprises the following steps:

based on big data, carrying out data acquisition on the experience user of the supine plate to obtain an experience user data set;

acquiring a weight data set of each experience user according to the experience user data set;

acquiring pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the center of gravity of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the center of gravity of each experience user moves downwards to paste the back on the supine plate;

obtaining a set of pressure difference information for each user at the first time from the set of weight data and the set of pressure data for each user;

performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user;

matching and obtaining a training proficiency degree set of each experience user on the supination board according to the pressure difference information clustering tree;

according to the training proficiency set and the intelligent auxiliary regulating and controlling device, intelligently and auxiliarily regulating and controlling the supporting inclination angle of the supine plate, wherein the intelligent auxiliary regulating and controlling device comprises the pressure sensor;

wherein, the matching obtains each experience user to the training proficiency degree set of the supine plate, still includes:

presetting an average pressure difference threshold value based on the big data;

according to the average pressure difference threshold value, segmenting the pressure difference information clustering tree to obtain first-order pressure difference clustering information, second-order pressure difference clustering information and third-order pressure difference clustering information, wherein the first-order pressure difference is higher than the average pressure difference threshold value, the second-order pressure difference is at the average pressure difference threshold value, and the third-order pressure difference is lower than the average pressure difference threshold value;

performing proficiency degree calibration on the first-order pressure difference clustering information to obtain a first proficiency degree characteristic, performing proficiency degree calibration on the second-order pressure difference clustering information to obtain a second proficiency degree characteristic, and performing proficiency degree calibration on the third-order pressure difference clustering information to obtain a third proficiency degree characteristic;

the first proficiency degree characteristic, the second proficiency degree characteristic and the third proficiency degree characteristic are used as adjusting gears to be intelligently adjusted and controlled;

wherein, to the support inclination of the board of lying on the back carries out the supplementary regulation and control of intelligence, still includes:

determining a second support inclination angle of the supine plate according to the second proficiency characteristic, wherein the second support inclination angle is a standard support inclination angle;

determining a first support inclination angle of the supine plate according to the first proficiency characteristic, wherein the first support inclination angle is smaller than the standard support inclination angle;

determining a third support inclination angle of the supine plate according to the third proficiency characteristic, wherein the third support inclination angle is greater than the standard support inclination angle;

determining a first regulation gear based on the first proficiency degree characteristic and the first support inclination angle, determining a second regulation gear based on the second proficiency degree characteristic and the second support inclination angle, and determining a third regulation gear based on the third proficiency degree characteristic and the third support inclination angle;

wherein the performing hierarchical cluster analysis on the set of pressure difference information further comprises:

performing traversal access processing on the pressure difference information set to generate a first uniformly distributed data set;

defining data in the first evenly distributed data set as P clusters;

carrying out average calculation on pairwise distances of data points in the P clusters to obtain an average distance data set;

obtaining a class distribution data set according to the average distance data set, wherein the class distribution data set comprises a classification set with the minimum distance average value;

and according to the class distribution data set, carrying out layer-by-layer recursive clustering on the average distance data set until a pressure difference information clustering tree of the pressure difference information set is generated.

2. The method of claim 1, wherein the method further comprises:

according to the first regulation gear, the second regulation gear and the third regulation gear, an intelligent gear regulation sequence of the supine plate is constructed, and the intelligent gear regulation sequence is nested in the intelligent auxiliary regulation device;

acquiring actual weight information of a first purchasing user;

according to the actual weight information, acquiring actual pressure difference information when the center of gravity of the first purchasing user moves downwards and the first purchasing user backs on the supine plate;

uploading the actual pressure difference information to the intelligent gear regulating and controlling sequence, and matching to obtain a preset auxiliary gear of the first purchasing user;

and according to the intelligent auxiliary regulating and controlling device, intelligently and auxiliarily regulating and controlling the preset auxiliary gear.

3. The method of claim 1, wherein the collecting data for the supine board experience user further comprises:

obtaining a feature set of a target experience user according to the supine plate, wherein the feature set comprises a gender feature set, a height difference feature set and a weight difference feature set;

and acquiring the target experience user based on the gender feature set, the height difference feature set and the weight difference feature set to generate a target experience user data set.

4. The method of claim 3, wherein the method further comprises:

obtaining a first characteristic data set according to the target experience user data set;

performing centralized processing on the first characteristic data set to obtain a second characteristic data set;

obtaining a first covariance matrix of the second feature data set;

calculating the first covariance matrix to obtain a first eigenvalue and a first eigenvector of the first covariance matrix;

and projecting the first feature data set to the first feature vector to obtain a first dimension reduction data set, wherein the first dimension reduction data set is the feature data set obtained after dimension reduction of the first feature data set.

5. An intelligent assisted regulation device of a supine plate, wherein the device comprises:

a first obtaining unit: the first obtaining unit is used for carrying out data acquisition on the experience user of the supine plate based on big data to obtain an experience user data set;

a second obtaining unit: the second obtaining unit is used for obtaining a weight data set of each experience user according to the experience user data set;

a third obtaining unit: the third obtaining unit is used for collecting pressure information of each experience user at a first time based on a pressure sensor to obtain a pressure data set of each user, wherein the first time is the time when the gravity center of each experience user moves downwards to paste the back on the supine plate, and the pressure information is the pressure on the supine plate when the gravity center of each experience user moves downwards to paste the back on the supine plate;

a fourth obtaining unit: the fourth obtaining unit is used for obtaining a pressure difference information set of each user at the first time according to the weight data set and the pressure data sets of each user;

a first generation unit: the first generation unit is used for performing hierarchical clustering analysis on the pressure difference information set to generate a pressure difference information clustering tree of the experience user;

a fifth obtaining unit: the fifth obtaining unit is used for matching and obtaining a training proficiency level set of the experience users on the supine plate according to the pressure difference information clustering tree;

a first regulatory unit: the first regulating and controlling unit is used for intelligently and auxiliarily regulating and controlling the supporting inclination angle of the supine plate according to the training proficiency set and the intelligent auxiliary regulating and controlling device, wherein the intelligent auxiliary regulating and controlling device comprises the pressure sensor;

wherein the apparatus further comprises:

the second setting unit is used for intelligently adjusting and controlling the first proficiency characteristic, the second proficiency characteristic and the third proficiency characteristic as adjusting and controlling gears;

a sixth setting unit for determining a first regulation and control gear based on the first proficiency level characteristic and the first support inclination angle, determining a second regulation and control gear based on the second proficiency level characteristic and the second support inclination angle, and determining a third regulation and control gear based on the third proficiency level characteristic and the third support inclination angle;

6. An intelligent auxiliary control device for a supine board, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor executes the program to implement the steps of the method of any of claims 1-4.