CN111427909A - Behavior big data and mental health test system based on artificial intelligence - Google Patents

Abstract

The invention discloses a behavior big data and mental health test system based on artificial intelligence, which comprises a model cloud data center and a personal tester, wherein the input end and the output end of the model cloud data center are electrically connected with the output end and the input end of the personal tester, the input end of the model cloud data center is electrically connected with the output end of an artificial intelligence AI information arrangement platform, and the output end of the model cloud data center is electrically connected with the input end of the artificial intelligence AI cloud platform. This big data of action and mental health test system based on artificial intelligence adopts random behavioral model and mental model to test the user to model in to big database is contrasted through artificial intelligence AI, thereby reachs the test result, and the test model is more random, and the test result is more accurate, can effectively prevent the test result unicity of single database.

Description

Behavior big data and mental health test system based on artificial intelligence

Technical Field

The invention relates to the technical field of mental health testing, in particular to a behavior big data and mental health testing system based on artificial intelligence.

Background

The psychological health refers to that all aspects and the activity process of the psychology are in a good or normal state, the ideal state of the psychological health is the state of perfect maintenance, normal intelligence, correct cognition, proper emotion, reasonable mind, positive attitude, proper behavior and good adaptation, the psychological health is influenced by both heredity and environment, especially the teaching and maintenance mode of the primary family in the young period has great influence on the development of the psychological health, the psychological health is outstanding in that the psychological health can keep good communication or coordination with other people in social, production and life, and various conditions occurring in life can be well treated.

Chinese patent discloses an artificial intelligence based personalized terminal service campus health platform (publication number: CN109949935A), which comprises the steps of obtaining health information of each individual, respectively establishing health models in three aspects of mental health, physical health and physical health, adding information records which are carried out according to time according to the health models, establishing an artificial intelligence dynamic data model which is divided into three models of mental health, physical health and physical health, accessing three separated dynamic data into the artificial intelligence campus health platform for big data analysis, marking, evaluating and counting, carrying out multi-dimensional data analysis, modeling, outputting and linking according to platform management, and outputting health application data generated by platform dynamics to two terminals.

Most of the existing health systems are fixed information, the replacement speed of various information and models is slow or continuous updating is not available, so that the accuracy and the effectiveness of test results are reduced gradually, the test results are in one-to-one correspondence with the test models, the test results are too uniform, the test information of different people is too single, and personalized feedback, analysis and real-time dynamic data capture and reminding or personalized feedback cannot be achieved.

Disclosure of Invention

Technical problem to be solved

Aiming at the defects of the prior art, the invention provides an artificial intelligence-based behavioral big data and psychological health test system, which solves the problems that most of the existing health systems are fixed information, the accuracy and the effectiveness of test results are gradually reduced due to the slow replacement speed or no continuous update of various information and models, the test results are too uniform due to the one-to-one correspondence of the test results and the test models, the test information of different groups is too single, and personalized feedback, analysis, real-time dynamic data capture and reminding or personalized feedback cannot be realized.

(II) technical scheme

In order to achieve the purpose, the invention is realized by the following technical scheme: an artificial intelligence based behavior big data and mental health test system comprises a model cloud data center and a personal tester, wherein the input end and the output end of the model cloud data center are electrically connected with the output end and the input end of the personal tester, the input end of the model cloud data center is electrically connected with the output end of an artificial intelligence AI information sorting platform, the output end of the model cloud data center is electrically connected with the input end of an artificial intelligence AI cloud platform, the input end of the artificial intelligence AI information sorting platform is electrically connected with the output end of a behavior model updating platform and a mental model updating platform, the output end of the artificial intelligence AI information sorting platform is electrically connected with the input end of the artificial intelligence AI cloud platform, the output end of the artificial intelligence AI cloud platform is electrically connected with the input end of the personal APP and the test platform data center, and the output end of the test platform data center is electrically connected with the input ends of the behavior model updating platform and the psychological model updating platform.

Preferably, the inside of the model cloud data center comprises a dynamic behavior data model module and a dynamic psychological data model module, the output ends of the dynamic behavior data model module and the dynamic psychological data model module are electrically connected with the input end of the stochastic model conveying module, the output ends of the dynamic behavior data model module and the dynamic psychological data model module are electrically connected with the input end of the model reserving module, the output end of the model reserving module is electrically connected with the input end of the model comparing module, and the output end of the model comparing module is electrically connected with the input end of the comparison information transmission module.

Preferably, the personal tester comprises a model receiving module and a model transmission module inside, the output end of the model receiving module is electrically connected with the input ends of the behavior model testing module and the psychological model testing module, the input ends of the behavior model testing module and the psychological model testing module are electrically connected with the output end of the information display module, the input end of the model transmission module is electrically connected with the output ends of the behavior model generating module and the psychological model generating module, and the input ends of the behavior model generating module and the psychological model generating module are electrically connected with the output end of the personal data collecting module.

Preferably, the artificial intelligence AI cloud platform's inside includes contrast information coordinate conversion module and high in the clouds data coordinate conversion module, contrast information coordinate conversion module and high in the clouds data coordinate conversion module's output all with data coordinate module's input electric connection, data coordinate module's output and data generation module's input electric connection, data generation module's output and data transmission module's input electric connection, artificial intelligence AI cloud platform's output carries out electric connection through data transmission module and test platform data center and individual APP's input.

Preferably, the output end of the random model conveying module in the model cloud data center is electrically connected with the input end of the model receiving module in the personal tester, the input end of the model comparison module in the model cloud data center is electrically connected with the output end of the model transmitting module in the personal tester, and the output end of the comparison information transmitting module in the model cloud data center is electrically connected with the input end of the comparison information coordinate converting module in the artificial intelligence AI cloud platform.

Preferably, the personal data collection module includes a camera, a keyboard, a mouse, a microphone or other personal information input devices, and the information display module includes a display screen, a sound box, a signal device or other information output devices.

Preferably, each platform and the cloud database in the system transmit information through wifi, 3G, 4G, optical cables or other transmission and connection modes.

Preferably, the data coordinate module is established by taking the behavior model and the psychological model as two coordinate axes, and the test result in the data coordinate module is a coordinate point where different behavior models and psychological models intersect.

(III) advantageous effects

The invention provides a behavior big data and mental health testing system based on artificial intelligence. The method has the following beneficial effects:

(1) the behavior big data and mental health testing system based on artificial intelligence is electrically connected with the input ends of the behavior model updating platform and the mental model updating platform through the output end of the testing platform data center. The output end of the model cloud data center is electrically connected with the input end of the artificial intelligence AI cloud platform, the input end of the artificial intelligence AI information arrangement platform is electrically connected with the output ends of the behavior model updating platform and the psychological model updating platform, the output end of the artificial intelligence AI information arrangement platform is electrically connected with the input end of the artificial intelligence AI cloud platform, and the output end of the artificial intelligence AI cloud platform is electrically connected with the input ends of the personal APP and the test platform data center.

(2) The behavior big data and mental health test system based on artificial intelligence comprises a comparison information coordinate conversion module and a cloud data coordinate conversion module inside an artificial intelligence AI cloud platform, wherein the output ends of the comparison information coordinate conversion module and the cloud data coordinate conversion module are both electrically connected with the input end of a data coordinate module, the output end of the data coordinate module is electrically connected with the input end of a data generation module, the output end of the data generation module is electrically connected with the input end of a data transmission module, and the output end of the artificial intelligence AI cloud platform is electrically connected with a test platform data center and the input end of an individual APP through the data transmission module. And the coordinate system is flexibly established, different coordinate systems can be established according to requirements, and the test is convenient for different types of users.

(3) The behavior big data and mental health test system based on artificial intelligence is electrically connected with the input end of a data generation module through the output end of a data coordinate module, the output end of the data generation module is electrically connected with the input end of a data transmission module, the output end of an artificial intelligence AI cloud platform is electrically connected with the input ends of a test platform data center and an individual APP through the data transmission module, the output end of the artificial intelligence AI cloud platform is electrically connected with the input ends of the individual APP and the test platform data center, and the output end of the test platform data center is electrically connected with the input ends of a behavior model updating platform and a mental model updating platform. Meanwhile, the large database can be in a continuous active state, and the testing efficiency can be further improved.

Drawings

FIG. 1 is a system flow diagram of the present invention;

FIG. 2 is a block diagram of a process of a model cloud data center according to the present invention;

FIG. 3 is a block flow diagram of a personal tester in the context of the present invention;

FIG. 4 is a block diagram of a flow of an artificial intelligence AI cloud platform according to the present invention.

In the figure, 1, a model cloud data center; 2. a personal tester; 3. an artificial intelligence AI information arrangement platform; 4. a behavior model updating platform; 5. a psychological model updating platform; 6. an Artificial Intelligence (AI) cloud platform; 7. a personal APP; 8. a test platform data center; 9. a model receiving module; 10. a behavior model testing module; 11. a psychological model testing module; 12. an information display module; 13. a personal data collection module; 14. a behavior model generation module; 15. a psychological model generating module; 16. a model transmission module; 17. a dynamic behavior data model module; 18. a dynamic psychological data model module; 19. a stochastic model transport module; 20. a model reservation module; 21. a model comparison module; 22. a comparison information transmission module; 23. a comparison information coordinate conversion module; 24. a data coordinate module; 25. a cloud data coordinate conversion module; 26. a data generation module; 27. and a data transmission module.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a behavioral big data and mental health test system based on artificial intelligence comprises a model cloud data center 1 and a personal tester 2, wherein the model cloud data center 1 comprises a dynamic behaviordata model module 17 and a dynamic mentaldata model module 18 inside, the output ends of the dynamic behaviordata model module 17 and the dynamic mentaldata model module 18 are electrically connected with the input end of a randommodel conveying module 19, the output ends of the dynamic behaviordata model module 17 and the dynamic mentaldata model module 18 are electrically connected with the input end of amodel reservation module 20, the output end of themodel reservation module 20 is electrically connected with the input end of amodel comparison module 21, the output end of themodel comparison module 21 is electrically connected with the input end of a comparisoninformation transmission module 22, the personal tester 2 comprises a model receiving module 9 and amodel transmission module 16 inside, the output end of the model receiving module 9 is electrically connected with the input ends of the behaviormodel testing module 10 and the psychological model testing module 11, the input ends of the behaviormodel testing module 10 and the psychological model testing module 11 are electrically connected with the output end of theinformation display module 12, the input end of themodel transmission module 16 is electrically connected with the output ends of the behavior model generating module 14 and the psychologicalmodel generating module 15, the input ends of the behavior model generating module 14 and the psychologicalmodel generating module 15 are electrically connected with the output end of the personaldata collecting module 13, the personaldata collecting module 13 comprises a camera, a keyboard, a mouse and a microphone, theinformation display module 12 comprises a display screen, a sound box and a signal device, the input end and the output end of the model cloud data center 1 are electrically connected with the output end and the input end of the personal tester 2, and the input end of the model cloud data center 1 is electrically connected with the output end of the artificial intelligence, the output end of the model cloud data center 1 is electrically connected with the input end of the artificial intelligenceAI cloud platform 6, the interior of the artificial intelligenceAI cloud platform 6 comprises a comparison informationcoordinate conversion module 23 and a cloud datacoordinate conversion module 25, the output ends of the comparison informationcoordinate conversion module 23 and the cloud datacoordinate conversion module 25 are electrically connected with the input end of thedata coordinate module 24, thedata coordinate module 24 is established by taking a behavior model and a psychological model as two coordinate axes, and the test result in thedata coordinate module 24 is a coordinate point where different behavior models and psychological models intersect, in the invention, a coordinate system is established for each model and test result in big data, so that the intelligent AI can conveniently conclude and search the result according to the test information, the test accuracy and test efficiency can be improved, the establishment of the coordinate system is flexible, and different coordinate systems can be established according to requirements, the test is convenient for different types of users, the output end of thedata coordinate module 24 is electrically connected with the input end of thedata generating module 26, the output end of thedata generating module 26 is electrically connected with the input end of thedata transmission module 27, the output end of the artificial intelligenceAI cloud platform 6 is electrically connected with the input ends of the test platform data center 8 and the personal APP7 through thedata transmission module 27, the output end of the randommodel transmission module 19 in the model cloud data center 1 is electrically connected with the input end of the model receiving module 9 in the personal tester 2, the input end of themodel comparison module 21 in the model cloud data center 1 is electrically connected with the output end of themodel transmission module 16 in the personal tester 2, the output end of the comparisoninformation transmission module 22 in the model cloud data center 1 is electrically connected with the input end of the comparison informationcoordinate conversion module 23 in the artificial intelligenceAI cloud platform 6, the input end of the artificial intelligence AIinformation sorting platform 3 is electrically connected with the output ends of the behavior model updating platform 4 and the psychologicalmodel updating platform 5, the output end of the artificial intelligence AIinformation sorting platform 3 is electrically connected with the input end of the artificial intelligenceAI cloud platform 6, the output end of the artificial intelligenceAI cloud platform 6 is electrically connected with the input ends of the individual APP7 and the test platform data center 8, and the output end of the test platform data center 8 is electrically connected with the input ends of the behavior model updating platform 4 and the psychologicalmodel updating platform 5, after the result is tested by a user, the invention can lead the test information and the test result into the center of the large database, thereby updating the large database in real time, preventing the problem of low effectiveness of the model and the test result in the large database, and simultaneously keeping the large database in a continuous active state, the system has the advantages that the testing efficiency can be further improved, all platforms and cloud databases in the system transmit information through wifi, 3G and 4G, the system adopts a random behavior model and a psychological model to test a user, and the models in the large database are compared through artificial intelligence AI (artificial intelligence) to obtain a testing result, the testing model is more random, the testing result is more accurate, the testing result of a single database can be effectively prevented from being single, and meanwhile, the content which is not described in detail in the specification belongs to the prior art which is known by technicians in the field.

When the intelligent AI system is used, a user generates an information request to the model cloud data center 1 through the personal tester 2, the behavior model updating platform 4 and the psychologicalmodel updating platform 5 transmit various behavior models to the artificial intelligent AIinformation sorting platform 3, the artificial intelligent AIinformation sorting platform 3 transmits various model information to the model cloud data center 1 and the artificial intelligentAI cloud platform 6, meanwhile, the personal tester 2 transmits a test result to the artificial intelligentAI cloud platform 6 through the model cloud data center 1, the test result is compared with the test models of the dynamic behaviordata model module 17 and the dynamic psychologicaldata model module 18 through themodel comparison module 21 in the model cloud data center 1, the comparison information is converted into coordinates through the comparison informationcoordinate conversion module 23 after being transmitted to the artificial intelligentAI cloud platform 6, meanwhile, the artificial intelligent AIinformation sorting platform 3 is converted into a coordinate system through the cloud datacoordinate conversion module 25, the comparison information is processed by thedata generation module 26 in the coordinate system to obtain test information, the information is sent to the individual APP by thedata transmission module 27, and meanwhile, the test information is synchronously sent to the behavior model updating platform 4 and the psychologicalmodel updating platform 5 to update the large database in the artificial intelligent AIinformation sorting platform 3 in real time.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. The utility model provides a big data of action and mental health test system based on artificial intelligence, includes model high in the clouds data center (1) and personal tester (2), the input and the output of model high in the clouds data center (1) all with the output and the input electric connection of personal tester (2), its characterized in that: the input end of the model cloud data center (1) is electrically connected with the output end of the artificial intelligence AI information sorting platform (3), the output end of the model cloud data center (1) is electrically connected with the input end of the artificial intelligence AI cloud platform (6), the input end of the artificial intelligence AI information sorting platform (3) is electrically connected with the output ends of the behavior model updating platform (4) and the psychological model updating platform (5), the output end of the artificial intelligence AI information sorting platform (3) is electrically connected with the input end of the artificial intelligence AI cloud platform (6), the output end of the artificial intelligence AI cloud platform (6) is electrically connected with the input ends of the personal APP (7) and the test platform data center (8), the output end of the test platform data center (8) is electrically connected with the input ends of the behavior model updating platform (4) and the psychological model updating platform (5).

2. The system according to claim 1, wherein the system comprises: the model cloud data center (1) comprises a dynamic behavior data model module (17) and a dynamic psychological data model module (18) inside, the output ends of the dynamic behavior data model module (17) and the dynamic psychological data model module (18) are electrically connected with the input end of a stochastic model conveying module (19), the output ends of the dynamic behavior data model module (17) and the dynamic psychological data model module (18) are electrically connected with the input end of a model reserving module (20), the output end of the model reserving module (20) is electrically connected with the input end of a model comparing module (21), and the output end of the model comparing module (21) is electrically connected with the input end of a comparison information transmission module (22).

3. The system according to claim 1, wherein the system comprises: the inside of personal tester (2) includes model receiving module (9) and model transmission module (16), the output of model receiving module (9) and the input electric connection of behavioral model test module (10) and psychological model test module (11), the input of behavioral model test module (10) and psychological model test module (11) and the output electric connection of information display module (12), the input of model transmission module (16) and the output electric connection of behavioral model generation module (14) and psychological model generation module (15), the input of behavioral model generation module (14) and psychological model generation module (15) and the output electric connection of personal data collection module (13).

4. The system according to claim 1, wherein the system comprises: the inside of artificial intelligence AI cloud platform (6) includes contrast information coordinate conversion module (23) and high in the clouds data coordinate conversion module (25), the output of contrast information coordinate conversion module (23) and high in the clouds data coordinate conversion module (25) all with the input electric connection of data coordinate module (24), the output of data coordinate module (24) and the input electric connection of data generation module (26), the output of data generation module (26) and the input electric connection of data transmission module (27), the output of artificial intelligence AI cloud platform (6) carries out electric connection through data transmission module (27) and test platform data center (8) and the input of individual APP (7).

5. The system according to claim 2, wherein the system comprises: the model cloud data center comprises a model cloud data center (1), wherein an output end of a random model conveying module (19) in the model cloud data center (1) is electrically connected with an input end of a model receiving module (9) in a personal tester (2), an input end of a model comparison module (21) in the model cloud data center (1) is electrically connected with an output end of a model transmission module (16) in the personal tester (2), and an output end of a comparison information transmission module (22) in the model cloud data center (1) is electrically connected with an input end of a comparison information coordinate conversion module (23) in an artificial intelligence AI cloud platform (6).

6. The artificial intelligence based behavioral big data and psychological health testing system according to claim 3, wherein: the personal data collection module (13) comprises a camera, a keyboard, a mouse, a microphone or other personal information input devices, and the information display module (12) comprises a display screen, a sound box, a signal device or other information output equipment.

7. The system according to claim 1, wherein the system comprises: all platforms and cloud databases in the system transmit information through wifi, 3G, 4G, optical cables or other transmission and connection modes.

8. The artificial intelligence based behavioral big data and psychological health testing system according to claim 4, wherein: the data coordinate module (24) is established by taking the behavior model and the psychological model as two coordinate axes, and the test result in the data coordinate module (24) is a coordinate point where different behavior models and psychological models intersect.

Images