Smart campus system based on cloud big object network

Abstract

The invention discloses an intelligent campus system based on a cloud big object network, and particularly relates to the technical field of data analysis, the intelligent campus system comprises a student health management module, a health assessment module and a health data analysis module, the student health management module carries out student health questionnaire survey and search in a registration machine of a school hospital, and the health data analysis module carries out health assessment on the student health. The student health management module collects student health information, introduces a health monitoring instrument to collect student health information and regularly reminds students to perform health examination and vaccination, the student health information comprises student doctor seeing information and medical record information, and the health assessment module performs health assessment and analysis according to the student health information collected in the student health management module and gives an alarm. And the health data analysis module is used for generating a health analysis report and a health management scheme according to the health assessment result of the student, and carrying out health tracking and feedback.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis. More specifically, the present invention relates to a smart campus system based on cloud, big data, and the Internet of Things. Background Art

[0002] With the rapid development of information technology and the progress and transformation of society, education also needs to continuously adapt to the needs of the new era. In particular, the college student group faces certain health risks in terms of learning pressure, changes in living habits, mood swings, etc. However, the traditional school management method cannot meet the requirements of students' mental health. The emergence of the smart campus system provides a more efficient and convenient management tool for schools and has gradually become an important part of schools at all levels.

[0003] Through information technology and data analysis means, combined with campus medical resources and services, an innovative model of providing comprehensive and convenient health management and medical services for students is realized. By using technical means such as the Internet, mobile devices, and sensors, the collection, storage, and analysis of students' health information are achieved, and personalized health management and medical services are provided. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a smart campus system based on cloud, big data, and the Internet of Things. Through information technology and data analysis means, combined with campus medical resources and services, the problems raised in the above background art are solved.

[0005] To achieve the above object, the present invention provides the following technical solution. A smart campus system based on cloud, big data, and the Internet of Things includes a student health management module, a health assessment module, and a health data analysis module;

[0006] Student health management module: By conducting student health questionnaires and searching in the registration machines of the school hospital, and introducing health monitoring instruments to collect students' health information, regularly reminding students to have health checks and vaccinations. The students' health information includes students' medical treatment information and medical record information;

[0007] Health assessment module: According to the students' health information collected in the student health management module, conduct health assessment and analysis, and promptly discover problems and take corresponding measures;

[0008] Health data analysis module: According to the students' health assessment results, generate health analysis reports, health management plans, and conduct health tracking and feedback.

[0009] In a preferred embodiment, the student health management module conducts a student health questionnaire survey, searches in the registration machines of the school hospital, and introduces health monitoring instruments to collect students' health information, and regularly reminds students to have health checks and receive vaccinations. The students' health information includes students' medical treatment information and medical record information. The specific steps are as follows:

[0010] Step A1: Collection of students' medical treatment information: Students make an appointment for the medical treatment time, select the department and doctor in the registration machine of the school hospital, and fill in the medical treatment information form. The students' medical treatment information, including the description of the condition, symptoms, and past medical history, is collected in the registration machine system.

[0011] Step A2: Collection of medical record information: The doctor records the student's medical history, diagnosis results, treatment plan, and doctor's advice in the paper medical record, and uploads the information on the paper medical record to the electronic medical record to collect the students' medical record information.

[0012] Step A3: Health monitoring instruments: The school introduces health monitoring instruments, including blood glucose meters, sphygmomanometers, and electrocardiographs, to monitor the students' health indicators, and automatically collect and upload the monitoring data through the system to record the students' health information.

[0013] In a preferred embodiment, the health assessment module conducts a health assessment and analysis based on the students' health information collected in the student health management module, discovers problems in a timely manner and takes corresponding measures. The specific steps are as follows:

[0014] Step B1: Data integration and analysis: Integrate the students' medical treatment information, medical record information, and monitoring data uploaded by the health monitoring instruments into a database, and use data analysis tools and algorithms to statistically analyze the students' health information, including examination data, medical record records, and description of the condition. Further, it includes the following steps:

[0015] Step B101: Feature extraction and selection: Extract the basic information of the students' age, height, and weight, as well as the diagnosis information of diseases and physiological indicators in the monitoring data from the integrated data.

[0016] Step B102: Statistical analysis: Use statistical analysis tools and algorithms to statistically analyze the students' health information, calculate the variances of the basic information of age, height, and weight of different groups respectively, as well as the variances of the diagnosis information of diseases and physiological indicators in the monitoring data. By comparing the variances of each group, the group with a larger variance indicates that the data distribution is more discrete. The specific calculation steps are as follows:

[0017] Define the symbol, X i represents the observed value of the i-th sample, n represents the total number of samples, X represents the sample mean, s 2 represents the sample variance, Xij Denote the observed value of the \(i\)-th sample on the \(j\)-th variable;

[0018] For a single variable \(X\) (such as age, height, or weight), its variance \(s\) 2 The calculation formula is:

[0019]

[0020] Introduce multiple physiological indicators and variable weights, and calculate the weighted variance. The calculation expression is: where \(\omega\) i is the weight of the \(i\)-th sample, is the weighted average,

[0021] In the case of multiple variables, use the covariance matrix to describe the variance and covariance between variables. The diagonal elements of the covariance matrix represent the variance of a single variable: where \(Var(X\) j ) is the variance of the \(j\)-th variable, and \(Cor(X\) j , \(X\) k ) is the covariance between the \(j\)-th and \(k\)-th variables, and the calculation is:

[0022]

[0023]

[0024] Step B2, Health assessment: Based on the health information of students, conduct health assessment and risk assessment, comprehensively judge the health status and existing risks of students, and give corresponding assessment results, which further include the following steps:

[0025] Step B201, Calculate the body mass index according to the basic information of height and weight to evaluate the overall weight status of students. The specific calculation formula is as follows:

[0026]

[0027] where \(BMI\) represents the body mass index, \(K\) represents the weight in kilograms, and \(M\) represents the height in meters;

[0028] Step B202, According to the calculation results, refer to the BMI classification standard to evaluate the overall weight status of students. When \(BMI \lt 18.5\), it means underweight and nutritional supplementation is needed; when \(18.5 \leq BMI \lt 24.9\), it means normal weight and continue to maintain; when \(25 \leq BMI \lt 29.9\), it means overweight, and when \(BMI \geq 30\), it means obesity and weight loss is needed;

[0029] Step B3. Statistical analysis of health data: Statistically analyze the health information of students, generate reports and charts to help schools understand the overall health status of students, and provide a reference basis for formulating health management strategies.

[0030] In a preferred embodiment, the health data analysis module generates a health analysis report, a health management plan based on the health assessment results of students, and conducts health tracking and feedback. The specific steps are as follows:

[0031] Step C1. Health analysis report: Generate a personalized health analysis report and suggestions based on the health assessment results of students, including current physical conditions, potential health risks, and suggestions regarding diet, exercise, and lifestyle;

[0032] Step C2. Health management plan: Develop a personalized health management plan based on the health assessment and analysis report of students, including targeted medical services, health education, and life guidance to help students develop good health habits and lifestyles and improve their physical and mental health levels;

[0033] Step C3. Health tracking and feedback: Regularly track the health status and the effects of health management of students, and continuously optimize the health management plan according to the feedback and adjustment of students to improve students' health satisfaction and health literacy.

[0034] The beneficial effects of the present invention are as follows: By conducting health questionnaires for students, searching in the registration machines of school hospitals, and introducing health monitoring instruments to collect students' health information, regularly reminding students to have health checks and vaccinations, where the students' health information includes students' medical treatment information and medical record information, conducting health assessment and analysis based on the students' health information collected in the student health management module, discovering problems in a timely manner and taking corresponding measures, generating a health analysis report and a health management plan based on the health assessment results of students, and conducting health tracking and feedback to improve students' health satisfaction and health literacy. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is the system structure diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the scope of protection of the present application.

[0037] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of this application, "a plurality" means two or more unless otherwise specifically defined.

[0038] In the description of this application, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described as "for example" in this application is not necessarily to be construed as more preferred or advantageous than other embodiments. The following description is given to enable any person skilled in the art to implement and use the present invention. In the following description, details are set forth for purposes of explanation. It should be understood that those of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other instances, well-known structures and processes are not elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed in this application.

[0039] Embodiment 1

[0040] This embodiment provides a smart campus system based on cloud, big data, and the Internet of Things as shown in Figure 1 Figure [not shown], specifically including a student health management module, a health assessment module, and a health data analysis module;

[0041] Student health management module: By conducting student health questionnaires and searching in the registration machines of the school hospital, and introducing health monitoring instruments to collect students' health information, regularly reminding students to have health checks and receive vaccinations. The students' health information includes students' medical treatment information and medical record information;

[0042] Health assessment module: According to the students' health information collected in the student health management module, conduct health assessment and analysis, and timely discover problems and take corresponding measures;

[0043] Health data analysis module: According to the students' health assessment results, generate health analysis reports, health management plans, and conduct health tracking and feedback.

[0044] In this embodiment, specifically, it should be noted that for the student health management module, the student health management module, by conducting student health questionnaires and searching in the registration machines of the school hospital, and introducing health monitoring instruments to collect students' health information, regularly reminding students to have health checks and receive vaccinations. The students' health information includes students' medical treatment information and medical record information. The specific steps are as follows:

[0045] Step A1: Collection of students' medical treatment information: Students make an appointment for the medical treatment time, select the department and doctor in the registration machine of the school hospital, fill in the medical treatment information form, and collect the students' medical treatment information in the registration machine system, including the description of the illness, symptoms, and past medical history;

[0046] Step A2: Collection of medical record information: The doctor records the students' medical history, diagnosis results, treatment plan, and doctor's advice in the paper medical record, and uploads the information on the paper medical record to the electronic medical record to collect the students' medical record information;

[0047] Step A3: Health monitoring instruments: The school introduces health monitoring instruments, including blood glucose meters, sphygmomanometers, and electrocardiographs, to monitor the students' health indicators, and automatically collect and upload the monitoring data through the system to record the students' health information.

[0048] In this embodiment, specifically, the health assessment module needs to be described. The health assessment module conducts health assessment and analysis based on the students' health information collected in the students' health management module, discovers problems in a timely manner and takes corresponding measures. The specific steps are as follows:

[0049] Step B1: Data integration and analysis: Integrate the students' medical treatment information, medical record information, and monitoring data uploaded by the health monitoring instruments into a database, and use data analysis tools and algorithms to statistically analyze the students' health information, including examination data, medical record records, and description of the illness. Further, it includes the following steps:

[0050] Step B101: Feature extraction and selection: Extract the basic information of the students' age, height, and weight, as well as the diagnosis information of the disease and the physiological indicators in the monitoring data from the integrated data;

[0051] Step B102: Statistical analysis: Use statistical analysis tools and algorithms to statistically analyze the students' health information, calculate the variances of the basic information of age, height, and weight of different groups respectively, as well as the variances of the disease diagnosis information and the physiological indicators in the monitoring data. By comparing the variances of each group, the group with a larger variance indicates that the data distribution is more discrete. The specific calculation steps are as follows:

[0052] Define the symbol, X i represents the observed value of the i-th sample, n represents the total number of samples, represents the sample mean, s 2 represents the sample variance, X ij represents the observed value of the i-th sample on the j-th variable;

[0053] For a single variable X (such as age, height, or weight), its variance s 2 The calculation formula is:

[0054]

[0055] Introduce multiple physiological indicators and variable weights, calculate the weighted variance, and the calculation expression is: where ω i is the weight of the i-th sample, is the weighted average,

[0056] In the case of multiple variables, the covariance matrix is used to describe the variance and covariance between variables. The diagonal elements of the covariance matrix represent the variance of a single variable: where Var(X j ) is the variance of the j-th variable, Cor(X j , X k ) is the covariance between the j-th and k-th variables, and the calculation is:

[0057]

[0058]

[0059] Step B2, Health assessment: According to the health information of students, conduct health assessment and risk assessment, comprehensively judge the health status and existing risks of students, and give corresponding assessment results, which further include the following steps:

[0060] Step B201, Calculate the body mass index based on the basic information of height and weight to evaluate the overall weight status of students. The specific calculation formula is as follows:

[0061]

[0062] where BMI represents the body mass index, K represents the weight in kilograms, and M represents the height in meters;

[0063] Step B202, According to the calculation results, refer to the BMI classification standard to evaluate the overall weight status of students. When BMI < 18.5, it means underweight and nutritional supplementation is needed; 18.5 ≤ BMI < 24.9 means normal weight and continue to maintain; 25 ≤ BMI < 29.9 means overweight, and BMI ≥ 30 means obesity and weight loss is needed;

[0064] Step B3, Statistical analysis of health data: Statistically analyze the health information of students, generate reports and charts to help the school understand the overall health status of students, and provide a reference basis for formulating health management strategies.

[0065] In this embodiment, it is specifically necessary to explain the health data analysis module. The health data analysis module generates a health analysis report, a health management plan based on the health assessment results of students, and conducts health tracking and feedback. The specific steps are as follows:

[0066] Step C1, Health analysis report: Generate a personalized health analysis report and suggestions based on the health assessment results of students, including the current physical condition, potential health risks, and suggestions regarding diet, exercise, and lifestyle;

[0067] Step C2, Health management plan: Develop a personalized health management plan based on the health assessment and analysis report of students, including targeted medical services, health education, and life guidance to help students develop good health habits and lifestyles and improve their physical and mental health levels;

[0068] Step C3, Health tracking and feedback: Regularly track the health status and the effectiveness of health management of students, and continuously optimize the health management plan according to the feedback and adjustment of students to improve students' health satisfaction and health literacy.

[0069] The above formulas are all calculated by taking the numerical values after removing the dimensions. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation.

[0070] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other arbitrary combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0071] It should be understood that in various embodiments of the present application, the sequence numbers of the above processes do not imply the order of execution, and the order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0072] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0073] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0074] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection to each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other form.

[0075] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0076] In addition, the functional units in various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0077] When the above-mentioned function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0078] As described above, the above are only specific implementation manners of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A smart campus system based on cloud, big data and Internet of Things, characterized by: It includes student health management module, health assessment module, and health data analysis module; Student health management module: Through conducting a student health questionnaire survey and searching in the registration machine of the school hospital, and introducing health monitoring instruments to collect student health information, students are regularly reminded to undergo health examinations and vaccinations. The student health information includes student medical information and medical history information; Health assessment module: conduct health assessment and analysis based on the student health information collected in the student health management module, identify problems in a timely manner and take corresponding measures; Health data analysis module: Generate health analysis reports and health management plans based on students’ health assessment results, and conduct health tracking and feedback.

2. According to claim 1, a smart campus system based on cloud, big data and Internet of Things is characterized by: The student health information includes the student's medical information and medical history information. The specific steps are as follows: Step A1, student medical information collection: Students make appointments for medical consultations, select medical departments and doctors, and fill out medical information forms at the registration machine of the school hospital. The registration machine system collects students' medical information, including description of the condition, symptoms, and past medical history; Step A2, medical record information collection: The doctor records the student's medical history, diagnosis results, treatment plan, and medical advice in the paper medical record, and uploads the information on the paper medical record to the electronic medical record to collect the student's medical record information.

3. According to claim 2, a smart campus system based on cloud, big data and Internet of Things is characterized by: The steps of introducing health monitoring instruments to collect students' health information include the school introducing health monitoring instruments, including blood glucose meters, blood pressure monitors, and electrocardiographs, to monitor students' health indicators, and automatically collecting and uploading the monitoring data through the system to record students' health information.

4. The smart campus system based on cloud, big data and Internet of Things according to claim 3 is characterized by: The health assessment module performs health assessment and analysis based on the student health information collected in the student health management module, finds problems in time and takes corresponding measures. The specific steps are as follows: Step B1, data integration and analysis: Integrate the students’ medical information, medical records, and monitoring data uploaded by health monitoring instruments into a database, and use data analysis tools and algorithms to collect and analyze the students’ health information, including examination data, medical records, and condition descriptions; Step B2, health assessment: conduct health assessment and risk assessment based on the student's health information, comprehensively judge the student's health status and existing risks, and give corresponding assessment results; Step B3: Statistical analysis of health data: Statistical analysis of students' health information, generate reports and charts, and provide reference for the formulation of health management strategies.

5. The smart campus system based on cloud, big data and Internet of Things according to claim 4 is characterized by: The statistics and analysis of the students' health information, including examination data, medical records, and condition descriptions, further includes the following steps: Step B101, feature extraction and selection: extracting basic information of students' age, height, weight, disease diagnosis information, and physiological indicators in monitoring data from the integrated data; Step B102, statistical analysis: Statistical analysis tools and algorithms are used to perform statistics and analysis on the health information of students, and the variance of basic information of age, height, and weight of different groups, as well as the variance of physiological indicators in disease diagnosis information and monitoring data are calculated. By comparing the variances of various groups, groups with large variances indicate that the data distribution is more discrete. The specific calculation steps are as follows: Define symbol, X i represents the observed value of the i-th sample, n represents the total number of samples, represents the sample mean, s 2 represents the sample variance, X ij Represents the observed value of the i-th sample on the j-th variable; For a single variable X (such as age, height, or weight), its variance s 2 The calculation formula is: Introducing multiple physiological indicators and variable weights, calculating weighted variance, the calculation expression is: Among them, ω i is the weight of the i-th sample, X ω is the weighted average, In the case of multiple variables, the covariance matrix is ​​used to describe the variance and covariance between variables, where the diagonal elements of the covariance matrix represent the variance of a single variable: Among them, Var(X j ) is the variance of the jth variable, Cor(X j , X k ) is the covariance of the j-th and k-th variables, calculated as:

6. The smart campus system based on cloud, big data and Internet of Things according to claim 4 is characterized by: The method of performing health assessment and risk assessment based on the health information of the students, comprehensively judging the health status and risks of the students, and providing corresponding assessment results further includes the following steps: Step B201: Calculate the body mass index based on the basic information of height and weight to assess the overall weight status of the student. The specific calculation formula is as follows: Among them, BMI stands for body mass index, K stands for weight in kilograms, and M stands for height in meters; Step B202: According to the calculation results, refer to the BMI classification standard to evaluate the overall weight status of the students. When BMI is less than 18.5, it indicates that the weight is too low and nutritional supplements are needed; 18.5≤BMI<24.9 indicates normal weight and should be maintained; 25≤BMI<29.9 indicates overweight; BMI≥30 indicates obesity and weight loss is needed.

7. The smart campus system based on cloud, big data and Internet of Things according to claim 1 is characterized by: The health data analysis module generates a health analysis report and a health management plan based on the health assessment results of the students, and performs health tracking and feedback. The specific steps are as follows: Step C1, Health Analysis Report: Generate a health analysis report and recommendations based on the student's health assessment results, including current physical condition, potential health risks, diet, exercise and lifestyle recommendations; Step C2, health management plan: Based on the students' health assessment and analysis reports, formulate a health management plan, including targeted medical services, health education and life guidance, to help students develop healthy habits and lifestyles; Step C3, health tracking and feedback: Regularly track students’ health status and health management results, and continuously optimize the health management plan based on students’ feedback and adjustments.

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