Intelligent mental health analysis method and system based on smart campus

Abstract

The invention discloses a psychological health intelligent analysis method and system based on a smart campus, and relates to the technical field of psychological health analysis, and the method comprises the steps: S1, building a psychological health analysis platform; s2, configuring analysis logic for the mental health analysis platform, wherein the analysis logic comprises the following steps: acquiring sampling data from a monitoring and consumption system of a pre-connected smart campus public place based on a preset sampling rule; performing preset comprehensive psychological health analysis on each corresponding sampling student based on the sampling data to obtain a psychological health analysis result of each sampling student; according to an analysis result, delimiting a mental health level; if the mental health level meets a preset professional guidance intervention condition, sending a corresponding student file to a professional guidance person; and S3, applying a mental health analysis platform. The method has the effect of providing more effective psychological health guidance for students.

Description

Technical Field

[0001] The present application relates to the technical field of mental health analysis, and in particular to a method and system for intelligent analysis of mental health based on a smart campus. Background Art

[0002] Campus life is an important stage in life and plays a key role in personal growth and development. With the accelerated pace of life and increased academic pressure, psychological problems are gradually becoming younger. As the future pillars of the country, adolescent students are the focus of mental health assessment.

[0003] At present, adolescent mental health assessment is mainly carried out through questionnaire assessment. However, due to limitations such as students' misunderstanding of the content description of the questionnaire, concealed answers, and the inability of the questionnaire to be detailed, it may not be able to truly and accurately reflect the students' actual psychological problems, resulting in the accuracy of the assessment results being affected, and the effect of mental health counseling provided to students is relatively limited. Therefore, this application proposes a new technical solution. Summary of the invention

[0004] In order to provide students with more effective mental health counseling, this application provides a mental health intelligent analysis method and system based on a smart campus.

[0005] In the first aspect, the present application provides a method for intelligent analysis of mental health based on a smart campus, which adopts the following technical solutions: A mental health intelligent analysis method based on smart campus, comprising: S1. Establish a mental health analysis platform, which includes: Establish a mental health analysis platform based on cloud servers and connect it to the monitoring and consumption systems of public places in smart campuses; Establish a database to store student records; S2. Configuring analysis logic for the mental health analysis platform, including: Based on preset sampling rules, sample data is obtained from the monitoring and consumption systems of pre-connected public places in the smart campus; Based on the sampling data, a preset comprehensive mental health analysis is performed on each corresponding sampled student to obtain the mental health analysis results of each sampled student; According to the analysis results, the mental health level is determined; If the mental health level meets the preset professional guidance intervention conditions, the corresponding student file will be sent to the professional guidance personnel; The sampling rules include: Traverse the student files, screen the students corresponding to the student files, and generate key focus groups; Analyze historical sample data to obtain behavioral characteristic data sets corresponding to various mental illnesses; Analyze the behavioral characteristic data set, determine the possible occurrence time and symptom manifestation of various behavioral characteristics, associate them with mental illnesses, and generate a mental illness related data table; Select students from any target population, call the corresponding student files, and assess their suspected mental illness based on the student files; Based on the suspected mental illness, search the mental illness related data table, determine the possible occurrence time and symptom manifestation of the corresponding behavioral characteristics, and select the corresponding sampling period and location; S3. Applied mental health analysis platform, which includes: Assign roles and permissions to any user who accesses and initiates a registration request, and the mental health analysis platform responds with the analysis logic in S2; wherein the roles include students, teachers, and professional guides.

[0006] Optionally, the configuration analysis logic for the mental health analysis platform further includes: If the number of people selected as the focus group in any class exceeds the preset threshold, a psychological test inquiry message will be sent to the teacher in charge of the class and feedback will be received; If the feedback is yes, then the preset psychological test plan is sent to the students in the class and feedback is received; The feedback data of the psychological test program is processed using the preset key population update rules and the key focus groups are updated.

[0007] Optionally, the psychological testing program includes: Call the psychological health analysis results of the sampling targets to conduct commonality and uniqueness analysis; Based on the current commonality and uniqueness analysis results, the preset psychological test program library is searched to generate a matching psychological test program.

[0008] Optionally, the configuration analysis logic for the mental health analysis platform further includes: Obtain information on teachers’ and professional guides’ performance evaluations of key focus groups; The estimated symptom manifestations of any subject in the focus population are compared with the performance evaluation information, and the external performance difference is calculated based on the comparison result. If the calculation result exceeds the preset difference range, a matching prompt is sent to the professional guidance personnel.

[0009] Optionally, the configuration analysis logic for the mental health analysis platform further includes: According to the evaluation of students by professional guidance staff and the feedback of psychological test programs, the preset campus activity database is retrieved, the campus activities matching each sampled student are called and sent to the corresponding sampled students; Obtain real-time monitoring data of sampled students when they participate in matched campus activities; Perform preset actual behavior analysis and evaluation based on monitoring data, and update the mental health analysis results according to the evaluation results.

[0010] Optionally, the configuration analysis logic for the mental health analysis platform further includes: Establish a chat platform for part-time / extracurricular activities on campus; Get user speech data from the chat platform; The speech data is processed in a consistent manner and cleaned, and processed into text information; Identify and analyze the cleaned text information, and extract and generate corresponding campus activity items based on the recognition results; Based on each campus activity item, a preset adaptive population analysis is performed respectively, and a matching adaptive population label is generated according to the analysis result. Each adaptive population label is bound to the corresponding campus activity item and updated to the campus activity database.

[0011] Optionally, obtaining user speech data of the social chat platform includes: If the calculated result exceeds the preset difference range or the professional guide's evaluation is that it needs to intervene in the actual activity confirmation, the user speech data within the preset period T before the current moment is called.

[0012] Optionally, the obtaining of user speech data on the social chat platform further includes: Identify the users of the chat platform, summarize the historical speech data of each speaking user, and extract features from the historical speech data. If the historical speech data meets the preset activity publisher conditions, it is defined as the calling object of the user speech data.

[0013] In the second aspect, the present application provides a mental health intelligent analysis system based on a smart campus, which adopts the following technical solutions: A mental health intelligent analysis system based on a smart campus includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the above-mentioned mental health intelligent analysis methods based on a smart campus.

[0014] To summarize, this application includes the following beneficial technical effects: by establishing a mental health analysis platform and establishing connections with the monitoring and consumption systems of public places on campus, sampling is conducted based on students who may have mental health problems, obtaining the behavioral performance of these students on campus and the corresponding consumption records, conducting mental health analysis, and sending the analysis results to professional guidance personnel, who then provide psychological counseling to students who need professional counseling. This allows for a more realistic and effective understanding of students' mental health problems through real-time monitoring of their mental state, timely discovery of potential psychological problems, and provision of timely and effective intervention and support for students. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is the process of the method of this application Figure 1 .

[0016] Figure 2 This is the process of the method of this application Figure 2 . DETAILED DESCRIPTION

[0017] The following is combined with Figure 1-2 This application is described in further detail.

[0018] The embodiment of the present application discloses a method for intelligent analysis of mental health based on a smart campus.

[0019] Reference Figure 1 and Figure 2 ,The mental health intelligent analysis methods based on smart campus include: S1. Establish a mental health analysis platform, which includes: Establish a mental health analysis platform based on cloud servers and connect it to the monitoring and consumption systems of public places in smart campuses; Establish a database to store student files.

[0020] It is understandable that the mental health analysis platform is connected to the systems corresponding to the monitoring equipment in public places on campus (such as playgrounds, cafeterias, corridors, classrooms, gymnasiums, etc.), and the mental health analysis platform obtains monitoring data from the systems corresponding to the above-mentioned monitoring and analyzes the monitoring data; the mental health analysis platform also establishes data connection with the campus consumption system (for example: the consumption management system corresponding to the student meal card, the consumption system corresponding to the supermarket checkout) to analyze the students' consumption records on campus.

[0021] Among them, student files can be extracted from the school's academic affairs system, including student information such as name, gender, age, class, student number, etc.; grades include test scores for each subject each semester and regular grades, etc.; health status includes students' physical examination reports, medical records, etc.; family situation can be obtained through historical home visits, such as family composition and basic information of each family member, family economic situation, home address, etc.; previous records of behavior in school can be extracted from the school's academic affairs system, such as violations of discipline, awards, and participation in school activities, etc.

[0022] S2. Configuring analysis logic for the mental health analysis platform, including: 1) Based on the preset sampling rules, sampling data (including monitoring data and consumption records) is obtained from the monitoring and consumption systems of pre-connected public places in the smart campus; 2) Based on the sampling data, a preset comprehensive mental health analysis is performed on each corresponding sampled student to obtain the mental health analysis results of each sampled student; 3) Determine the level of mental health based on the analysis results.

[0023] It is understandable that image processing, face and behavior recognition are performed based on the monitoring data to determine the student identity information appearing in the sampled monitoring data and the consumption records of each sampled student on campus for comprehensive mental health analysis. In this embodiment, the comprehensive mental health analysis can be to comprehensively analyze the mental health of each student by tracking the student's behavior on campus and the corresponding consumption records. Among them, the mental health level is divided into healthy, mild, moderate and severe.

[0024] Example of a comprehensive mental health analysis: a. Identify suspected campus bullying behaviors based on surveillance data and identify target students; b. Based on consumption data, it is identified that the target students have purchased drugs, and the drugs are creative treatments, such as band-aids; If a student has two situations a and b consecutively, it is assessed that the student is suspected of being bullied at school. According to the analysis results, the mental health level is determined. For example, school bullying is assessed as a severe mental health level.

[0025] 4) If the mental health level meets the preset professional guidance intervention conditions, the corresponding student file will be sent to the professional guidance personnel; In this embodiment, when the mental health level is moderate or severe, it meets the conditions for professional guidance intervention, where the professional guidance personnel are professionally qualified psychological counselors who provide psychological counseling assistance to students.

[0026] Considering the complexity of monitoring data on campus and the large number of students, in order to reduce the data processing pressure of the online platform, it is necessary to set sampling rules for more targeted sampling. The specific settings are as follows: Sampling rules include: 1) Traverse the student files, screen the students corresponding to the student files, and generate key focus groups.

[0027] Screening of students corresponding to student files can be as follows: students who may have mental health problems are screened out according to the student files, and divided into key focus groups; wherein the student files include student information, grades, health status, family situation and previous records of behavior in school.

[0028] Example: In case 1, if the student's file records that he is from a single-parent family, his grades and previous school behavior records will be retrieved; if his grades have dropped three times in a row before the current moment, or he is in a preset low score segment, or has a record of illegal behavior, then the student will be classified as a key focus group; In the second case, if the student’s file records that they have a record of illegal behavior, they will be classified as a key focus group; Case three: if the student’s file records that his / her grades have been in the preset low range for one consecutive semester, he / she will be classified as a key focus group.

[0029] 2) Analyze historical sample data to obtain behavioral characteristic data sets corresponding to various mental illnesses; Analyze the behavioral characteristic data set, determine the possible occurrence time and symptom manifestations of various behavioral characteristics, bind mental illnesses, and generate a mental illness related data table.

[0030] 3) Select students from any target population, call the corresponding student files, and evaluate their suspected mental illness based on the student files; Based on the suspected mental illness, search the mental illness related data table, determine the possible occurrence time and symptom manifestations of the corresponding behavioral characteristics, and select the corresponding sampling period and location.

[0031] It is understandable that historical sample data refers to the symptoms, basic characteristics, emotions, self-cognition and behavior information of people who have been clearly diagnosed with psychological problems in the past, which are collected from professional psychological counseling platforms and stored in the database. Sample data example: People with anxiety symptoms may have symptoms that gradually reduce their participation in group activities. For example, they used to participate in group activities 2-3 times a week, but after experiencing changes in their lives, they reduced their participation to 2-3 times a month and gradually became solitary.

[0032] Regarding the selection of the corresponding sampling period and location: if the behavior is to reduce participation in group activities, the selected period is the extracurricular activity time, and the location is the playground and the corridor of the teaching building, and the above-mentioned monitoring data is sampled.

[0033] S3. Applied mental health analysis platform, which includes: Assign roles and permissions to any user who accesses and initiates a registration request, and the mental health analysis platform responds with the analysis logic in S2; the roles include students, teachers, and professional guides.

[0034] It is understandable that different roles correspond to different permissions. For example: if the role is a student, the corresponding permissions are uploading student personal information, browsing / filling in tasks published by other permissions; if the role is a teacher, the corresponding permissions include but are not limited to uploading / modifying all information in student files and publishing other tasks (psychological tests); if the role is a professional guide, the corresponding permissions include but are not limited to browsing student files, uploading psychological health analysis results and other psychological counseling-related content, and publishing other tasks (psychological reports).

[0035] Through the above settings, by establishing a mental health analysis platform and connecting it with the monitoring and consumption systems of public places on campus, sampling is conducted based on students who may have mental health problems, obtaining the behavioral performance of these students on campus and the corresponding consumption records, conducting mental health analysis, and sending the analysis results to professional guidance personnel, who will provide psychological counseling to students who need professional counseling. In this way, through the students' actual behavior, we can understand the students' mental health problems more realistically and effectively, and provide more effective psychological counseling.

[0036] In order to be more accurate in dividing the key focus groups, the configuration of the analysis logic for the mental health analysis platform also includes: If the number of people selected as the focus group in any class exceeds the preset threshold, a psychological test inquiry message will be sent to the teacher in charge of the class and feedback will be received; It is understandable that, for example, if the number of students in a class who are classified as the key focus group exceeds a quarter of the total number of students in the class, then in order to prevent the entire class from being adversely affected, the teacher should be asked whether to conduct psychological tests on the students in the class, and the teacher will judge whether to do so based on the actual situation.

[0037] If the feedback is yes, then the preset psychological test plan is sent to the students in the class and feedback is received; The feedback data of the psychological test program is processed using the preset key population update rules and the key focus groups are updated.

[0038] It can be understood that, for example: if the feedback of a student's psychological test program is moderate, but this student is not on the list of key focus groups, then the student will be added to the list of key focus groups; similarly, if the feedback of a student in the key focus group in the psychological test program is mild, then the student will be removed from the list of key focus groups.

[0039] The psychological testing program includes: Call the psychological health analysis results of the sampling targets to conduct commonality and uniqueness analysis; Based on the current commonality and uniqueness analysis results, the preset psychological test program library is searched to generate a matching psychological test program.

[0040] It is understandable that since the psychological test program needs to be sent to all students in the class for testing, it is necessary to conduct a comprehensive analysis of the psychological health analysis results of each sampled student (i.e., the key focus group), for example: what common psychological characteristics exist in the key focus group, or whether there are related causes of abnormal psychological health of the key focus group, which may affect other students in the class. Therefore, in view of the above aspects, the psychological test program library is searched, and questions that can test common characteristics are selected, and then the test questions unique to each mental illness are supplemented to generate a more suitable psychological test program for testing the whole class. Among them, the psychological test program library is a professional psychological test question bank provided by professional guidance personnel.

[0041] In another embodiment of the present application, the mental health analysis platform configuration analysis logic further includes: Obtain information on teachers’ and professional guides’ performance evaluations of key focus groups; It is understandable that teachers and professional guides will evaluate the daily performance of key groups through daily contact with them, including but not limited to their performance in learning, social, emotional, behavioral and other aspects. For example, they will evaluate students in key groups every two months and upload the evaluation information to the platform.

[0042] The estimated symptom manifestations of any subject in the focus population are compared with the performance evaluation information, and the external performance difference is calculated based on the comparison result. If the calculation result exceeds the preset difference range, a matching prompt is sent to the professional guidance personnel.

[0043] It can be understood that, for example: for a certain student's emotional performance, the teacher compares his actual performance in life with his corresponding symptom (anxiety) performance behavior (theoretical), and calculates the difference between the student's actual performance and theoretical performance. Difference calculation example: Count the number of overlapping evaluation terms. If the difference is greater than the set difference range (such as more than 3 evaluation terms are different), a prompt that requires attention is sent to the corresponding professional guidance personnel, where the prompt method can be sent to the professional guidance personnel's account, and the content sent includes the student's actual performance, theoretical performance, and the degree of difference between the two, so that the professional guidance personnel can provide timely counseling or other intervention measures to the student.

[0044] In another embodiment of the present application, in order to more realistically understand the actual psychological condition of the students, the psychological health analysis platform is configured with analysis logic, which further includes: According to the evaluation of students by professional guidance staff and the feedback of psychological test programs, the preset campus activity database is retrieved, the campus activities matching each sampled student are called and sent to the corresponding sampled students; It is understandable that the campus activity database stores various campus activities, such as cafeteria checkout, supermarket packaging, badminton competitions, etc. According to the evaluation of students by professional guides and the feedback on psychological test plans, the campus activity database is searched accordingly to find activities that can more realistically test the mental health symptoms of the corresponding sampled students. For example: students who may have a tendency to mania are matched with competitive competitions.

[0045] Obtain real-time monitoring data of sampled students when they participate in matched campus activities; It is understandable that when it is monitored that the sampled students' behavior is participating in the matched campus activities, a dot mark will be made. When the campus activities end (such as moving to other locations and behavior changes), this section of monitoring data will be intercepted and defined as monitoring data when participating in campus activities.

[0046] Perform preset actual behavior analysis and evaluation based on monitoring data, and update the mental health analysis results according to the evaluation results.

[0047] It is understandable that the actual behavioral analysis assessment can be based on the specific practical behaviors of the sampled students in campus activities to judge and evaluate students' mental health problems. For example: if a student participates in a badminton game, and during the game, the student becomes manic, smashes the racket, and has difficulty controlling his emotions and behaviors, or deliberately violates the rules of the game, then based on these behavioral characteristics, the student is assessed to have a tendency to mania, and the previous mental health analysis results are updated.

[0048] In another embodiment of the present application, the campus activities in the campus activity database may also be obtained in the following manner: Establish a chat platform for part-time / extracurricular activities on campus; It is understandable that the above-mentioned chat platform may be a chat group such as an instant messaging social group.

[0049] Get user speech data from the chat platform; It is understandable that obtaining the speeches in campus-related chat groups in the chat platform can be done by presetting specific fields, such as campus activities, on-campus activities and other similar fields. When the above fields appear in the name of a group, the speech data of the group is obtained.

[0050] The speech data is processed in a consistent manner and cleaned, and processed into text information; It is understandable that since user speech data may be in various formats such as emoticons and pictures, the speech data needs to be uniformly processed into plain text information. Among them, for data in formats such as text or voice in pictures, these data need to be uniformly identified and relevant text extracted, and organized into a unified text format; and the unified text needs to be cleaned, such as removing duplicate fields, punctuation marks, meaningless modal particles, etc. At the same time, it is also necessary to eliminate content that is obviously unrelated to campus activities, which can be eliminated by setting keywords, etc.

[0051] Identify and analyze the cleaned text information, and extract and generate corresponding campus activity items based on the recognition results; It is understandable that by connecting to AI models, such as Feixinghuo, Bao, etc., the cleaned text information can be analyzed and refined. For example, if the text contains "a badminton match will be held in the school gymnasium this Wednesday", the event name "badminton match", event location "school gymnasium", and event time "this Wednesday" can be extracted, and the above information can be used to form a campus activity item.

[0052] Based on each campus activity item, a preset adaptive population analysis is performed respectively, and a matching adaptive population label is generated according to the analysis result. Each adaptive population label is bound to the corresponding campus activity item and updated to the campus activity database.

[0053] It is understandable that each campus activity has a corresponding group of people suitable for participating, from which we can see the specific actual behavior of the students participating in the activities, and then reflect the students' actual mental health problems, for example: competitive competitions, matching mania or other mental illnesses with symptoms that are prone to mood changes.

[0054] Regarding obtaining user speech data on social chat platforms, it includes: If the calculated result exceeds the preset difference range or the professional guide's evaluation is that it needs to intervene in the actual activity confirmation, the user speech data within the preset period T before the current moment is called.

[0055] It is understandable that due to the large amount of complex user speech data and the timeliness of campus activities, when further diagnosis is needed through students' participation in actual activities, the user speech data will be called up to reduce the platform's pressure on data processing; among them, when the mental health problems of a student are temporarily vague and professional guidance personnel are unable to define the problems of the student, it is considered necessary to intervene in actual activities for confirmation, and the user speech data of the previous week will be called up to perform the processing and analysis in the above steps.

[0056] In another embodiment of the present application, since there are many users in each group, and not every user will publish useful information about campus activities, in order to eliminate the speech data of irrelevant users, the following is set: obtaining the user speech data of the social chat platform, which also includes: Identify the users of the chat platform, summarize the historical speech data of each speaking user, and extract features from the historical speech data. If the historical speech data meets the preset activity publisher conditions, it is defined as the calling object of the user speech data.

[0057] It can be understood that by extracting the unique identifier of the speaking user, such as the user ID; locating the historical speech data of the speaking user based on the user's unique identifier, and filtering it out for correlation aggregation, and extracting relevant fields from the historical speech data by setting keywords, such as "school playground", "school cafeteria", "next Wednesday", "this Friday", "hosted", "registration" and other words that frequently appear with school-related places, time and event release-related words, it is determined that the conditions of the event publisher are met, and the user is marked, and the user is assigned the role of the event publisher. There is no need to re-judge the identity of the user in the future, thereby improving data processing efficiency.

[0058] The embodiment of the present application also discloses a mental health intelligent analysis system based on a smart campus.

[0059] A mental health intelligent analysis system based on a smart campus includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the above-mentioned mental health intelligent analysis methods based on a smart campus.

[0060] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A mental health intelligent analysis method based on smart campus, characterized in that: include: S1. Establish a mental health analysis platform, which includes: Establish a mental health analysis platform based on cloud servers and connect it to the monitoring and consumption systems of public places in smart campuses; Establish a database to store student records; S2. Configuring analysis logic for the mental health analysis platform, including: Based on preset sampling rules, sample data is obtained from the monitoring and consumption systems of pre-connected public places in the smart campus; Based on the sampling data, a preset comprehensive mental health analysis is performed on each corresponding sampled student to obtain the mental health analysis results of each sampled student; According to the analysis results, the mental health level is determined; If the mental health level meets the preset professional guidance intervention conditions, the corresponding student file will be sent to the professional guidance personnel; The sampling rules include: Traverse the student files, screen the students corresponding to the student files, and generate key focus groups; Analyze historical sample data to obtain behavioral characteristic data sets corresponding to various mental illnesses; Analyze the behavioral characteristic data set, determine the possible occurrence time and symptom manifestation of various behavioral characteristics, associate them with mental illnesses, and generate a mental illness related data table; Select students from any target population, call the corresponding student files, and assess their suspected mental illness based on the student files; Based on the suspected mental illness, search the mental illness related data table, determine the possible occurrence time and symptom manifestation of the corresponding behavioral characteristics, and select the corresponding sampling period and location; S3. Applied mental health analysis platform, which includes: Assign roles and permissions to any user who accesses and initiates a registration request, and the mental health analysis platform responds with the analysis logic in S2; wherein the roles include students, teachers, and professional guides.

2. The method for intelligent analysis of mental health based on smart campus according to claim 1 is characterized in that: The configuration analysis logic for the mental health analysis platform also includes: If the number of people selected as the focus group in any class exceeds the preset threshold, a psychological test inquiry message will be sent to the teacher in charge of the class and feedback will be received; If the feedback is yes, then the preset psychological test plan is sent to the students in the class and feedback is received; The feedback data of the psychological test program is processed using the preset key population update rules and the key focus groups are updated.

3. The method for intelligent analysis of mental health based on smart campus according to claim 2 is characterized in that: The psychological testing protocol included: Call the psychological health analysis results of the sampling targets to conduct commonality and uniqueness analysis; Based on the current commonality and uniqueness analysis results, the preset psychological test program library is searched to generate a matching psychological test program.

4. The method for intelligent analysis of mental health based on smart campus according to claim 2 is characterized in that: The configuration analysis logic for the mental health analysis platform also includes: Obtain information on teachers’ and professional guides’ performance evaluations of key focus groups; The estimated symptom manifestations of any subject in the focus population are compared with the performance evaluation information, and the external performance difference is calculated based on the comparison result. If the calculation result exceeds the preset difference range, a matching prompt is sent to the professional guidance personnel.

5. The method for intelligent analysis of mental health based on smart campus according to claim 4 is characterized in that: The configuration analysis logic for the mental health analysis platform also includes: According to the evaluation of students by professional guidance staff and the feedback of psychological test programs, the preset campus activity database is retrieved, the campus activities matching each sampled student are called and sent to the corresponding sampled students; Obtain real-time monitoring data of sampled students when they participate in matched campus activities; Perform preset actual behavior analysis and evaluation based on monitoring data, and update the mental health analysis results according to the evaluation results.

6. The method for intelligent analysis of mental health based on smart campus according to claim 5 is characterized in that: The configuration analysis logic for the mental health analysis platform also includes: Establish a chat platform for part-time / extracurricular activities on campus; Get user speech data from the chat platform; The speech data is processed in a consistent manner and cleaned, and processed into text information; Identify and analyze the cleaned text information, and extract and generate corresponding campus activity items based on the recognition results; Based on each campus activity item, a preset adaptive population analysis is performed respectively, and a matching adaptive population label is generated according to the analysis result. Each adaptive population label is bound to the corresponding campus activity item and updated to the campus activity database.

7. The method for intelligent analysis of mental health based on smart campus according to claim 6 is characterized in that: The step of obtaining user speech data on the social chat platform includes: If the calculated result exceeds the preset difference range or the professional guide's evaluation is that it needs to intervene in the actual activity confirmation, the user speech data within the preset period T before the current moment is called.

8. The method for intelligent analysis of mental health based on smart campus according to claim 7 is characterized in that: The step of obtaining user speech data of the social chat platform further includes: Identify the users of the chat platform, summarize the historical speech data of each speaking user, and extract features from the historical speech data. If the historical speech data meets the preset activity publisher conditions, it is defined as the calling object of the user speech data.

9. A mental health intelligent analysis system based on smart campus, characterized in that: It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes any one of the mental health intelligent analysis methods based on a smart campus as claimed in claims 1-8.

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