Teenager health index evaluation system based on big data comparison

Abstract

The invention relates to the technical field of teenager health evaluation, and discloses a teenager health index evaluation system based on big data comparison, which comprises a body data acquisition module, a body data analysis module, an exercise data evaluation module, a health index evaluation module and a privacy data storage module. The body data acquisition module comprises a height and weight data acquisition unit and a blood uric acid data acquisition unit. According to the system, height and weight data, uric acid data, blood fat data and vision data of teenagers are collected, scores of teenager sports tests and daily exercise data are combined for analysis, a health index evaluation result is finally obtained through calculation, and meanwhile the health index evaluation result is output to a privacy data storage module; the privacy data storage module groups data of all people according to age groups and ranks results of the same age group, so that health index evaluation results of teenagers of different age groups are ranked, and people of all age groups are ensured to know their own health degrees.

Description

Technical Field

[0001] The present invention relates to the technical field of adolescent health evaluation, and in particular to an adolescent health index evaluation system based on big data comparison. Background Art

[0002] Smart campus refers to an intelligent campus learning and living environment with the Internet of Things as the core. It fully integrates teaching, academic management and campus life through information technology to achieve a campus model of intelligent service and management. The youth student management system in the smart campus can greatly improve the management efficiency of youth students.

[0003] The significance of the youth student management system is to help achieve the all-round development of young students in morality, intelligence, physical fitness, aesthetics and labor. At present, young students' physical exercise or outdoor activities are insufficient, which leads to a decline in their physical fitness. At present, there is a lack of quantitative indicators for youth students' physical exercise on campus, which has led to sports courses becoming a decoration, which is not conducive to the healthy development of young students. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies of the prior art, the present invention provides a youth health index evaluation system based on big data comparison, which has the advantages of quantitative evaluation of the health of adolescent students and solves the above-mentioned technical problems.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a teenager health index evaluation system based on big data comparison, comprising a body data collection module, a body data analysis module, an exercise data evaluation module, a health index evaluation module and a privacy data storage module;

[0008] The body data collection module includes a height and weight data collection unit, a blood uric acid data collection unit, a blood lipid data collection unit and a vision data collection unit. The height and weight data collection unit is used to record the height and weight data of the teenagers, the uric acid data collection unit is used to record the blood uric acid data of the teenagers, the blood lipid data collection unit is used to record the blood lipid data, and the vision data collection unit is used to record the vision data of the teenagers. The body data collection module sends the collected height and weight data, uric acid data, blood lipid data and vision data to the body data analysis module;

[0009] The body data analysis module performs calculation and analysis based on the height and weight data, uric acid data, blood lipid data and vision data to obtain body evaluation data ST, and the body data analysis module sends the body evaluation data ST to the health index evaluation module;

[0010] The exercise data evaluation module is used to collect the scores of the youth sports test and the daily exercise data and analyze them to obtain the exercise evaluation data DL. The exercise data evaluation module sends the analyzed exercise evaluation data to the health index evaluation module;

[0011] The health index evaluation module obtains a health index evaluation result based on the body evaluation data and the exercise evaluation data, and the health index evaluation module sends the health index evaluation result to the privacy data storage module for storage.

[0012] As a preferred technical solution of the present invention, the expression for collecting height and weight data by the height and weight data collection unit is as follows:

[0013]

[0014] Among them, SGTZ represents the height and weight data set collected by the height and weight data collection unit, SG i，1 ,…,SG i，j ,…,SG i，J They represent the height of the 1st measured height of the ith collected adolescent, ..., the height of the jth measured height of the ith collected adolescent, ..., the height of the jth measured height of the ith collected adolescent, TZ i，1 ,…,TZ i，j ,…,TZ i，J They respectively represent the 1st measured weight of the i-th collected adolescent,…, the j-th measured weight of the i-th collected adolescent,…, the J-th measured weight of the i-th collected adolescent.

[0015] As a preferred technical solution of the present invention, the calculation expression for analyzing the height and weight data by the body data analysis module is as follows:

[0016]

[0017]

[0018] Among them, SG i It represents the result of analyzing the height data of the i-th collected adolescent by the body data analysis module. i represents the result of the analysis of the i-th collected adolescent weight data by the body data analysis module, SG min Indicates the minimum height threshold for the same age group, TZ max Indicates the maximum weight threshold for the same age group.

[0019] As a preferred technical solution of the present invention, the specific expression of the blood uric acid data collection unit for collecting blood uric acid data of adolescents is as follows:

[0020] XNS=[xns i，1 ,…,xns i，j ,…,xns i，J ]

[0021] Among them, XNS represents the data set of adolescent blood uric acid data collected by the physical data analysis module, xns i，1 ,…,xns i，j ,…,xns i，J They respectively represent the 1st measurement of blood uric acid of the i-th adolescent collected,…, the j-th measurement of blood uric acid of the i-th adolescent collected,…, and the J-th measurement of blood uric acid of the i-th adolescent collected.

[0022] As a preferred technical solution of the present invention, the specific expression of the blood lipid data collection unit for collecting blood lipid data of adolescents is as follows:

[0023] XZ=[xz i，1 ,…,xz i，j ,…,xz i，J ]

[0024] Among them, XZ represents the data set of adolescent blood lipid data collected by the physical data analysis module, xz i，1 ,…,xz i，j ,…,xz i，J They respectively represent the blood lipids measured at the 1st time for the i-th collected adolescent,…, the blood lipids measured at the j-th time for the i-th collected adolescent,…, and the blood lipids measured at the J-th time for the i-th collected adolescent.

[0025] As a preferred technical solution of the present invention, the body data analysis module performs calculation and analysis based on height and weight data, uric acid data, blood lipid data and vision data to obtain the specific calculation expression of body assessment data as follows:

[0026]

[0027] Among them, ST represents the physical assessment data, θ xns represents the result of blood lipid data analysis by the body data analysis module, θ xz Indicates the results of blood lipid data analysis by the body data analysis module, SL i It represents the result of analyzing the i-th collected adolescent vision data by the physical data analysis module. Its specific expression is as follows:

[0028]

[0029] Among them, SL i =0 means myopia, SL i =1 means no myopia, Represents the visual acuity impact coefficient.

[0030] As a preferred technical solution of the present invention, the result of the blood lipid data analysis by the body data analysis module is θ xns The specific calculation expression is as follows:

[0031]

[0032] Among them, θ xns represents the result of the blood uric acid data analysis by the body data analysis module, XNS0 represents the blood uric acid safety threshold, max{XNS} represents the maximum value in the data set of adolescent blood uric acid data collected by the body data analysis module, XNS represents the data set of adolescent blood uric acid data collected by the body data analysis module, θ xns Represents the blood uric acid influence coefficient.

[0033] As a preferred technical solution of the present invention, the result of the blood lipid data analysis by the body data analysis module is θ xz The specific calculation expression is as follows:

[0034]

[0035] Among them, θ xz represents the result of blood lipid data analysis by the body data analysis module, XZ0 represents the blood lipid safety threshold, max{XZ} represents the maximum value in the data set of adolescent blood lipid data collected by the body data analysis module, and XZ represents the data set of adolescent blood lipid data collected by the body data analysis module. Represents the blood lipid influence coefficient.

[0036] As a preferred technical solution of the present invention, the exercise data evaluation module collects the scores of the youth sports test and the daily exercise data and analyzes them to obtain the specific calculation expression of the exercise evaluation data as follows:

[0037]

[0038] Among them, CS i represents the score of the physical test of the i-th collected teenager, DLSC i represents the daily exercise data of the i-th collected teenager, BZDL represents the standard exercise data, and DL represents the exercise evaluation data.

[0039] As a preferred technical solution of the present invention, the health index evaluation module obtains the health index evaluation result based on the body evaluation data and the exercise evaluation data. The specific calculation expression is as follows:

[0040] JK=ST+DLμ

[0041] Among them, JK represents the health index evaluation result, μ represents the balance coefficient, DL represents the exercise evaluation data, and ST represents the body evaluation data.

[0042] Compared with the prior art, the present invention provides a youth health index evaluation system based on big data comparison, which has the following beneficial effects:

[0043] The present invention collects height and weight data, uric acid data, blood lipid data and vision data of adolescents, and analyzes them in combination with the scores of adolescent physical tests and daily exercise data, and finally calculates the health index evaluation results, and inputs them into the privacy data storage module. The privacy data storage module groups the data of all people according to age groups, and ranks the results of the same age group, so as to rank the health index evaluation results of adolescents of different age groups based on big data, thereby ensuring that people of all age groups are aware of their own health levels and conducting quantitative evaluation of the health of adolescent students. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figure 1 , a youth health index evaluation system based on big data comparison, including a body data collection module, a body data analysis module, an exercise data evaluation module, a health index evaluation module and a privacy data storage module;

[0047] The body data collection module includes a height and weight data collection unit, a blood uric acid data collection unit, a blood lipid data collection unit and a vision data collection unit. The height and weight data collection unit is used to record the height and weight data of teenagers, the uric acid data collection unit is used to record the blood uric acid data of teenagers, the blood lipid data collection unit is used to record the blood lipid data, and the vision data collection unit is used to record the vision data of teenagers. The body data collection module sends the collected height and weight data, uric acid data, blood lipid data and vision data to the body data analysis module. The expression of the height and weight data collected by the height and weight data collection unit is as follows:

[0048]

[0049] Among them, SGTZ represents the height and weight data set collected by the height and weight data collection unit, SG i，1 ,…,SG i，j ,…,SG i，J They represent the height of the 1st measured height of the ith collected adolescent, ..., the height of the jth measured height of the ith collected adolescent, ..., the height of the jth measured height of the ith collected adolescent, TZ i，1 ,…,TZ i，j ,…,TZ i，J They represent the first measured weight of the i-th collected adolescent, ..., the j-measured weight of the i-th collected adolescent, ..., the J-measured weight of the i-th collected adolescent, and the calculation expression for analyzing the height and weight data by the body data analysis module is as follows:

[0050]

[0051]

[0052] Among them, SG i It represents the result of analyzing the height data of the i-th collected adolescent by the body data analysis module. i represents the result of the analysis of the i-th collected adolescent weight data by the body data analysis module, SG min Indicates the minimum height threshold for the same age group, TZ max It represents the maximum weight threshold of the same age group. The minimum and maximum values ​​of the threshold vary according to age and gender. The specific expression of the blood uric acid data collection unit for collecting blood uric acid data of adolescents is as follows:

[0053] XNS=[xns i，1 ,…,xns i，j ,…,xns i，J ]

[0054] Among them, XNS represents the data set of adolescent blood uric acid data collected by the physical data analysis module, xns i，1 ,…,xns i，j ,…,xns i，J represents the first measurement of blood uric acid of the i-th adolescent, ..., the j-measurement of blood uric acid of the i-th adolescent, ..., the J-measurement of blood uric acid of the i-th adolescent, and the result of blood lipid data analysis by the body data analysis module θ xns The specific calculation expression is as follows:

[0055]

[0056] Among them, θxns represents the result of the blood uric acid data analysis by the body data analysis module, XNS0 represents the blood uric acid safety threshold, max{XNS} represents the maximum value in the data set of adolescent blood uric acid data collected by the body data analysis module, XNS represents the data set of adolescent blood uric acid data collected by the body data analysis module, θ xns Represents the influence coefficient of blood uric acid. The specific expression of the blood lipid data collection unit for collecting blood lipid data of adolescents is as follows:

[0057] XZ=[xz i，1 ,…,xz i，j ,…,xz i，J ]

[0058] Among them, XZ represents the data set of adolescent blood lipid data collected by the physical data analysis module, xz i，1 ,…,xz i，j ,…,xz i，J They represent the first blood lipid measurement of the i-th adolescent, ..., the j-th blood lipid measurement of the i-th adolescent, ..., the J-th blood lipid measurement of the i-th adolescent, and the result of the blood lipid data analysis module θ xz The specific calculation expression is as follows:

[0059]

[0060] Among them, θ xz represents the result of blood lipid data analysis by the body data analysis module, XZ0 represents the blood lipid safety threshold, max{XZ} represents the maximum value in the data set of adolescent blood lipid data collected by the body data analysis module, and XZ represents the data set of adolescent blood lipid data collected by the body data analysis module. represents the blood lipid influence coefficient;

[0061] The body data analysis module performs calculations and analyses based on the height and weight data, uric acid data, blood lipid data and vision data to obtain the body evaluation data ST. The body data analysis module sends the body evaluation data ST to the health index evaluation module. The body data analysis module performs calculations and analyses based on the height and weight data, uric acid data, blood lipid data and vision data to obtain the specific calculation expression of the body evaluation data as follows:

[0062]

[0063] Among them, ST represents the physical assessment data, θ xns represents the result of blood lipid data analysis by the body data analysis module, θ xz Indicates the results of blood lipid data analysis by the body data analysis module, SL iIt represents the result of analyzing the i-th collected adolescent vision data by the physical data analysis module. Its specific expression is as follows:

[0064]

[0065] Among them, SL i =0 means myopia, SL i =1 means no myopia, represents the visual acuity impact coefficient;

[0066] The exercise data evaluation module is used to collect the scores of youth sports tests and daily exercise data and analyze them to obtain exercise evaluation data DL. The exercise data evaluation module sends the analyzed exercise evaluation data to the health index evaluation module. The exercise data evaluation module collects the scores of youth sports tests and daily exercise data and analyzes them to obtain the specific calculation expression of exercise evaluation data as follows:

[0067]

[0068] Among them, CS i represents the score of the physical test of the i-th collected teenager, DLSC i represents the daily exercise data of the i-th collected teenager, BZDL represents the standard exercise data, and DL represents the exercise evaluation data.

[0069] The health index evaluation module obtains the health index evaluation result based on the body evaluation data and the exercise evaluation data. The health index evaluation module sends the health index evaluation result to the privacy data storage module for storage. The specific calculation expression of the health index evaluation result obtained by the health index evaluation module based on the body evaluation data and the exercise evaluation data is as follows:

[0070] JK=ST+DLμ

[0071] Among them, JK represents the health index evaluation result, μ represents the balance coefficient, which is used to balance the mutual influence results between the body assessment data and the exercise assessment data, thereby ensuring the stability of the data, DL represents the exercise assessment data, and ST represents the body assessment data.

[0072] Embodiment 1

[0073] The i-th collected adolescent is male, aged 16, SG min =159.1,TZ max =83.85, and not nearsighted, his sports test score CS i =90, μ=0.01, for the height and weight data collection unit to collect height and weight data at this time For the blood uric acid data collection unit to collect blood uric acid data of adolescents, XNS = [xns i，1 ,…,xns i，j ,…,xns i，J ] = [218 196 305 223], at this time The blood lipid data collection unit collects the blood lipid data of adolescents XZ = [xz i,1 ,…,xz i，j ,…,xz i，J ]=[3.2 3.6 2.94.03],max{XZ}=4.03≤XZ0=5.17, at this time For exercise assessment data Therefore, the health index evaluation result JK=ST+DLμ=0.3578+64.29*0.01=1.0007 can be obtained based on the physical evaluation data and the exercise evaluation data;

[0074] Embodiment 2

[0075] The gender of the i-th collected adolescent is female, age is 16 years old, SG min =142.9,TZ max = 67.93, and myopia, the score of his sports test is CS i =100, μ=0.01, for the height and weight data collection unit to collect height and weight data at this time For the blood uric acid data collection unit to collect blood uric acid data of adolescents, XNS = [xns i，1 ,…,xns i，j ,…,xns i，J ]=[235188 217 236], at this time max{XNS}=236≤XNS0=357, θ xns =θ xns =0.5, blood lipid data collection unit collects adolescent blood lipid data XZ = [xz i,1 ,…,xz i，j ,…,xz i，J ]=[4.3 2.97 3.7 4.28],max{XZ}=4.3≤XZ0=5.17,θ xz =θ xz =0.5, at this time For exercise assessment data Therefore, the health index evaluation result JK=ST+DLμ=0.2754+90*0.01=1.1754 can be obtained based on the physical evaluation data and the exercise evaluation data;

[0076] Based on this, it can be seen that the health index evaluation result JK=1.0007 in Example 1 is lower than the health index evaluation result JK=1.1754 in Example 2, indicating that the teenagers in Example 2 are healthier than those in Example 1. After calculating the data of the actual health status, the results will be transmitted to the privacy data storage module, and the privacy data storage module groups the data of all people according to age groups and ranks the results of the same age group, thereby ranking the health index evaluation results of teenagers of different age groups based on big data, ensuring that people of all age groups have an understanding of their own health level. At the same time, the privacy data storage module only displays the ranking, not the actual score. The privacy data storage module also has a guardian port. For the teenagers who are scored, their legal guardians can view the various indicators of the teenagers who are scored through the guardian port, and other people cannot view them;

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A youth health index evaluation system based on big data comparison, characterized by: It includes a body data collection module, a body data analysis module, an exercise data evaluation module, a health index evaluation module and a privacy data storage module; The body data collection module includes a height and weight data collection unit, a blood uric acid data collection unit, a blood lipid data collection unit and a vision data collection unit. The height and weight data collection unit is used to record the height and weight data of the teenagers, the uric acid data collection unit is used to record the blood uric acid data of the teenagers, the blood lipid data collection unit is used to record the blood lipid data, and the vision data collection unit is used to record the vision data of the teenagers. The body data collection module sends the collected height and weight data, uric acid data, blood lipid data and vision data to the body data analysis module; The body data analysis module performs calculation and analysis based on the height and weight data, uric acid data, blood lipid data and vision data to obtain body evaluation data ST, and the body data analysis module sends the body evaluation data ST to the health index evaluation module; The exercise data evaluation module is used to collect the scores of the youth sports test and the daily exercise data and analyze them to obtain the exercise evaluation data DL. The exercise data evaluation module sends the analyzed exercise evaluation data to the health index evaluation module; The health index evaluation module obtains a health index evaluation result based on the body evaluation data and the exercise evaluation data, and sends the health index evaluation result to the privacy data storage module for storage.

2. The adolescent health index evaluation system based on big data comparison according to claim 1 is characterized by: The expression for collecting height and weight data by the height and weight data collection unit is as follows: Among them, SGTZ represents the height and weight data set collected by the height and weight data collection unit, SG i，1 , …, SG i，j ,…,SG i，J They represent the height of the 1st measured height of the ith collected adolescent, ..., the height of the jth measured height of the ith collected adolescent, ..., the height of the jth measured height of the ith collected adolescent, TZ i，1 , …, TZ i，j ,…,TZ i，J They respectively represent the 1st measured weight of the i-th collected adolescent,…, the j-th measured weight of the i-th collected adolescent,…, the J-th measured weight of the i-th collected adolescent.

3. The adolescent health index evaluation system based on big data comparison according to claim 2 is characterized by: The calculation expression for analyzing the height and weight data by the body data analysis module is as follows: Among them, SG i It represents the result of analyzing the height data of the i-th collected adolescent by the body data analysis module. i represents the result of the analysis of the i-th collected adolescent weight data by the body data analysis module, SG min Indicates the minimum height threshold for the same age group, TZ max Indicates the maximum weight threshold for the same age group.

4. The adolescent health index evaluation system based on big data comparison according to claim 3 is characterized by: The specific expression of the blood uric acid data collection unit for collecting blood uric acid data of adolescents is as follows: XNS=[xns i，1 ,…,xns i，j ,…,xns i，J ] Among them, XNS represents the data set of adolescent blood uric acid data collected by the physical data analysis module, xns i，1 ,…,xns i，j ,…,xns i，J They respectively represent the 1st measurement of blood uric acid of the i-th adolescent collected,…, the j-th measurement of blood uric acid of the i-th adolescent collected,…, and the J-th measurement of blood uric acid of the i-th adolescent collected.

5. The adolescent health index evaluation system based on big data comparison according to claim 4 is characterized by: The specific expression of the blood lipid data collection unit collecting the blood lipid data of teenagers is as follows: XZ=[xz i,1 ,…,xz i，j ,…,xz i，J ] Among them, XZ represents the data set of adolescent blood lipid data collected by the physical data analysis module, xz i,1 ,…,xz i，j ,…,xz i，J They respectively represent the blood lipids measured at the 1st time for the i-th collected adolescent,…, the blood lipids measured at the j-th time for the i-th collected adolescent,…, and the blood lipids measured at the J-th time for the i-th collected adolescent.

6. The adolescent health index evaluation system based on big data comparison according to claim 5 is characterized by: The body data analysis module performs calculation and analysis based on height and weight data, uric acid data, blood lipid data and vision data to obtain the specific calculation expression of body assessment data as follows: Among them, ST represents the physical assessment data, θ xns represents the result of blood lipid data analysis by the body data analysis module, θ xz Indicates the results of blood lipid data analysis by the body data analysis module, SL i It represents the result of analyzing the i-th collected adolescent vision data by the physical data analysis module. Its specific expression is as follows: Among them, SL i =0 means myopia, SL i =1 means no myopia, Represents the visual acuity impact coefficient.

7. The adolescent health index evaluation system based on big data comparison according to claim 6 is characterized by: The result of the blood lipid data analysis by the body data analysis module is θ xns The specific calculation expression is as follows: Among them, θ xns represents the result of the blood uric acid data analysis by the body data analysis module, XNS0 represents the blood uric acid safety threshold, max{XNS} represents the maximum value in the data set of adolescent blood uric acid data collected by the body data analysis module, and XNS represents the data set of adolescent blood uric acid data collected by the body data analysis module. Represents the blood uric acid influence coefficient.

8. The adolescent health index evaluation system based on big data comparison according to claim 6 is characterized by: The result of the blood lipid data analysis by the body data analysis module is θ xz The specific calculation expression is as follows: Among them, θ xz represents the result of blood lipid data analysis by the body data analysis module, XZ0 represents the blood lipid safety threshold, max{XZ} represents the maximum value in the data set of adolescent blood lipid data collected by the body data analysis module, and XZ represents the data set of adolescent blood lipid data collected by the body data analysis module. Represents the blood lipid influence coefficient.

9. The adolescent health index evaluation system based on big data comparison according to claim 1 is characterized by: The exercise data evaluation module collects the scores of youth sports tests and daily exercise data and analyzes them to obtain the specific calculation expression of exercise evaluation data as follows: Among them, CS i represents the score of the physical test of the i-th collected teenager, DLSC i represents the daily exercise data of the i-th collected teenager, BZDL represents the standard exercise data, and DL represents the exercise evaluation data.

10. The adolescent health index evaluation system based on big data comparison according to claim 1 is characterized by: The health index evaluation module obtains the health index evaluation result based on the body evaluation data and the exercise evaluation data. The specific calculation expression is as follows: JK=ST+DLμ Among them, JK represents the health index evaluation result, μ represents the balance coefficient, DL represents the exercise evaluation data, and ST represents the body evaluation data.

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