CN-122023071-A - Student exercise management supervision method and system based on wearable intelligent watch

CN122023071ACN 122023071 ACN122023071 ACN 122023071ACN-122023071-A

Abstract

The application relates to a student exercise management supervision method and a system based on a wearable intelligent watch, and relates to the field of student exercise management, wherein the student exercise management supervision method comprises the steps of collecting physical indexes and exercise data of equipment; extracting the number of exercise steps, the exercise speed and the exercise heart rate during exercise according to exercise data, determining the exercise intensity level according to the exercise speed and the exercise heart rate, determining the exercise efficiency index according to the exercise intensity level and the exercise speed, determining the physical quality level based on the exercise intensity level and the exercise efficiency index, subtracting the preset personal quality level from the physical quality level to obtain a level interval, collecting the equipment position of equipment when the level interval is larger than a preset interval threshold value, determining the equipment use condition according to the physical index and the equipment position, identifying whether an error condition exists or not based on the equipment use condition, outputting error information, processing based on the error information and transmitting the error information to a management end. The application has the effect of accurately monitoring and managing the exercise condition of students.

Inventors

ZHU MENGJUN
Lu Hezhu
LU ZHIQIANG
CHEN YANG

Assignees

宁波浙鼎数智科技有限责任公司

Dates

Publication Date: 20260512
Application Date: 20251211

Claims (10)

1. The student exercise management supervision method based on the wearable intelligent watch is characterized by comprising the following steps of: collecting a connection protocol of equipment; configuring associated parameters of equipment according to a connection protocol, and determining the type of a body measurement item; Setting a data acquisition dimension according to the type of the body measurement project; according to the data acquisition dimension, verifying and acquiring body measurement data; synchronously uploading body measurement data to a cloud platform; Configuring data sharing authority of the cloud platform and preset service providers, parents and teachers, and completing multi-terminal data linkage; And checking the consistency of data transmission of each end, and confirming that the body measurement data acquisition is completed.
2. The student exercise management and supervision method based on the wearable intelligent watch according to claim 1, the method is characterized in that the verification and acquisition of body measurement data comprise the following steps: Extracting the item data of the body measurement according to the body measurement data; collecting full-division threshold values of all body measurement projects at a teacher end; calculating project data and full-scale threshold values to obtain a body measurement value; Analyzing a physical quality short board according to project data and preset teenager body basic data; based on the body measurement difference value and the physical quality short board, a body measurement analysis report is generated and synchronized to the cloud platform.
3. The method for supervising student movement management based on a wearable smart watch of claim 1, comprising, after generating the body measurement analysis report: determining physical quality problems according to the body measurement analysis report; Determining a matched training type according to a preset physical quality improvement model and a physical quality problem; Setting a training intensity reference value according to the project data; determining a training plan based on the training type and the training strength reference value, and synchronizing to the cloud platform; training according to the training program, and performing optimization adjustment.
4. The method for supervising student movement management based on a wearable smart watch of claim 1, further comprising: acquiring body indexes and motion data of the equipment; Extracting the exercise step number, the exercise speed and the exercise heart rate during exercise according to the exercise data; Determining exercise intensity level according to exercise speed and exercise heart rate; determining a movement efficiency index according to the movement steps and the movement speed; Determining a fitness level based on the exercise intensity level and the exercise efficiency index; Subtracting a preset personal quality grade from the physical quality grade to obtain a grade interval; When the level interval is larger than a preset interval threshold value, acquiring the equipment position of equipment; determining the use condition of the equipment according to the body index and the position of the equipment; Based on the equipment use condition, identifying and determining whether an error condition exists, and outputting error information; Processing based on the error information and transmitting to the management end.
5. The student exercise management and supervision method based on the wearable intelligent watch according to claim 4, wherein the specific method for processing based on the error information comprises the following steps: Matching the acquired account data of the equipment user according to the physical quality grade; acquiring equipment account data in equipment; According to the acquired account data, matching the actually worn equipment user, defining the actually worn equipment user as a wearer, and matching to obtain an acquired active area of the wearer; According to the equipment account data, matching the original equipment user of the equipment, defining the equipment user as an owner, and matching to obtain an equipment activity area; determining a gathering point according to the acquisition active area and the equipment active area identification; And when the gathering point exists, carrying out matching exchange according to the collected account data and the equipment account data.
6. The student exercise management and supervision method based on the wearable smart watch according to claim 4, wherein the method for determining the usage of the device comprises: determining the current position of the equipment according to the equipment position, and calling historical data to determine the current active area of the equipment; determining a distance difference value according to the current position and the active area; when the distance difference value is larger than a preset distance threshold value, matching corresponding equipment users according to the physical quality grade and a preset personal quality grade, and determining that the equipment use condition is replacement use; When the distance difference value is not larger than a preset distance threshold value, determining whether a disease risk exists according to the body data; When the risk of illness exists, the equipment use condition is abnormal use; When there is no risk of illness, the device use is misuse.
7. The method for supervising student movement based on a wearable smart watch of claim 6, comprising, after misuse: determining a basic movement condition result according to the movement efficiency index and a preset movement basic threshold value; Drawing a swing arm motion curve by collecting data during the swing arm, taking the data as a swing arm motion characteristic, and determining a judgment result of the swing arm characteristic based on the swing arm motion characteristic and a preset motion swing arm characteristic; acquiring the motion time length of the equipment, the equipment amplitude and the swing arm acceleration when the equipment swings; based on the exercise duration, determining exercise load in combination with fluctuation of exercise heart rate; According to the exercise load, combining a basic exercise condition judgment result and a swing arm characteristic judgment result, comprehensively determining whether a wearer is in an exercise state; If the wearer is determined to be in a motion state, starting the equipment and shooting the wearer to determine the wearing condition; when the wearing condition is the person, the acquired motion data is reserved; and deleting the acquired motion data based on the wearing condition when the person is not wearing the sports shoes.
8. The student movement management supervision method based on the wearable intelligent watch according to claim 7, wherein the drawing method of the swing arm movement curve comprises the following steps: acquiring the swing arm movement time when the swing arm is started; calculating the distance between the swing arm end point and the waist according to the swing arm amplitude and the preset swing arm effective length; Determining an armpit swing arm included angle based on the swing arm amplitude and a preset trunk perpendicularity parameter; Calculating the instantaneous speed of the swing arm according to the movement acceleration and the movement time of the swing arm; taking the movement time of the swing arm as a transverse axis, and respectively taking the distance from the end point of the swing arm to the waist, the included angle of the armpit swing arm and the instantaneous speed of the swing arm as a longitudinal axis to generate a time-varying sub-curve of each parameter; Integrating the partial curves, marking the distance from the swing arm end point to the waist, the armpit swing arm included angle and the swing arm instantaneous speed at key time points, and drawing to obtain a swing arm motion curve.
9. The student exercise management and supervision method based on the wearable intelligent watch according to claim 8, wherein the specific method for shooting comprises the following steps: determining the swing arm moving distance of the swing arm according to the equipment amplitude; determining the vertical distance of the maximum height in the vertical direction according to the moving distance of the swing arm; when the acceleration of the swing arm is 0, judging whether the motion state of the swing arm tends to be stable; acquiring horizontal displacement of the swing arm, and determining the current spatial position of the swing arm by combining the vertical distance; a preset swing arm fixed point position parameter is called, and the current space position and the fixed point position parameter are compared; if the current space position is consistent with the fixed point position parameters, confirming that the swing arm reaches the fixed point, and sending out a shooting signal; And responding to the shooting signal, starting a shooting device preset on the equipment, and shooting when the swing arm reaches the fixed point to obtain a fixed point shooting image.
10. A student exercise supervision and management system, comprising: The acquisition module is used for acquiring body indexes, movement data and equipment positions; a memory for storing a program implementing a student movement management supervision method based on a wearable smart watch as claimed in any one of claims 1 to 9; And the processor loads and executes the programs in the memory.

Description

Student exercise management supervision method and system based on wearable intelligent watch Technical Field The invention relates to the field of student exercise management, in particular to a student exercise management supervision method and system based on a wearable intelligent watch. Background Along with the construction of sports campus, student physique health monitoring is needed, so that student physique and sports condition are supervised and managed. In campus, real-time physical indexes and motion data of students are collected through external equipment, the data are uploaded to a management platform for analysis, whether the motion state of the students reaches the standard or not can be judged by setting reasonable motion targets and thresholds, and the students who do not finish tasks are reminded or guided. Meanwhile, the system supports the fact that relevant data are checked through a management end of a teacher or parents, and the comprehensive supervision and management of the student exercise behaviors are achieved, so that physical quality and health level of the students are improved. In daily life, when students are subjected to body quality detection, the students rely on human eye vision pinching, so that related data are distorted, misjudgment on the actual physical condition and exercise capacity of the students is further caused, and follow-up work on the constitution of the students is difficult. Disclosure of Invention In order to accurately monitor and manage student exercise conditions, the invention provides a student exercise management supervision method and system based on a wearable intelligent watch. In a first aspect, the invention provides a student exercise management and supervision method based on a wearable intelligent watch, which adopts the following technical scheme: a student movement management supervision method based on a wearable smart watch, comprising: collecting a connection protocol of equipment; configuring associated parameters of equipment according to a connection protocol, and determining the type of a body measurement item; Setting a data acquisition dimension according to the type of the body measurement project; according to the data acquisition dimension, verifying and acquiring body measurement data; synchronously uploading body measurement data to a cloud platform; Configuring data sharing authority of the cloud platform and preset service providers, parents and teachers, and completing multi-terminal data linkage; And checking the consistency of data transmission of each end, and confirming that the body measurement data acquisition is completed. By adopting the technical scheme, the body measurement type is automatically bound after the connection protocol is acquired and the associated parameters are configured, the dimension setting and the real-time check are performed, so that the heart rate pace and other data are kept accurate from the source, the synchronous uploading cloud platform immediately triggers the service business long teacher three-party permission sharing, the consistency check guarantees the zero difference of multi-terminal data, and the accurate panoramic monitoring of the student movement state is realized. Optionally, verifying the collected body measurement data includes: Extracting the item data of the body measurement according to the body measurement data; collecting full-division threshold values of all body measurement projects at a teacher end; calculating project data and full-scale threshold values to obtain a body measurement value; Analyzing a physical quality short board according to project data and preset teenager body basic data; based on the body measurement difference value and the physical quality short board, a body measurement analysis report is generated and synchronized to the cloud platform. Optionally, after generating the body measurement analysis report, the method includes: determining physical quality problems according to the body measurement analysis report; Determining a matched training type according to a preset physical quality improvement model and a physical quality problem; Setting a training intensity reference value according to the project data; determining a training plan based on the training type and the training strength reference value, and synchronizing to the cloud platform; training according to the training program, and performing optimization adjustment. Optionally, the method further comprises: acquiring body indexes and motion data of the equipment; Extracting the exercise step number, the exercise speed and the exercise heart rate during exercise according to the exercise data; Determining exercise intensity level according to exercise speed and exercise heart rate; determining a movement efficiency index according to the movement steps and the movement speed; Determining a fitness level based on the exercise intensity level and the exercise efficiency index