CN111370113A - Remote psychological counseling system and method based on Internet of things cloud - Google Patents
Remote psychological counseling system and method based on Internet of things cloud Download PDFInfo
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Abstract
The invention belongs to the technical field of psychological counseling and discloses a remote psychological counseling system and a remote psychological counseling method based on an internet of things cloud.A communication module of the internet of things utilizes an internet of things communication device to access the internet of things for internet of things communication; a user registers a psychological coaching system account by a registration program through a user account registration module; after the registration is finished, logging in the psychological counseling system by using a login program through a login module; logging in a psychological tutoring system, and acquiring user psychological data information by adopting a psychological data acquisition module; according to the collected user psychological data information, the psychological state recognition module recognizes the psychological state by using a recognition program, and the psychological analysis module analyzes the psychological data by using an analysis program; according to the analysis result, a tutoring scheme generation module generates a psychological tutoring scheme; and when the psychological abnormal data passes, early warning is carried out by utilizing an early warning module. The invention can obtain timely, comprehensive and accurate effect.
Description
Technical Field
The invention belongs to the technical field of psychological counseling, and particularly relates to a remote psychological counseling system and method based on an internet of things cloud.
Background
The theory is the subjective reaction of the brain to objective reality, and the consciousness is the highest level of psychological development and only people are conscious. Psychological phenomena can be divided into two main categories, namely psychological processes and personality. Cognition, emotional and will exist as processes that all undergo different stages of onset, progression and disappearance and are therefore psychological processes. Personality, also known as personality, is the sum of the psychographic features that a person distinguishes from others, consistently shows in different environments, relatively stable, and affects the appearance and behavioral patterns of the person, including: needs, motivations, capabilities, temperament, character, etc. Personality is not, in a sense, independent but rather is manifested through psychological processes. However, the existing remote psychological counseling system based on the internet of things cloud has poor accuracy in identifying the individual psychological states; meanwhile, psychological abnormality cannot be warned in time.
In summary, the problems of the prior art are as follows: the existing remote psychological counseling system based on the internet of things cloud has poor accuracy in identifying the individual psychological states; meanwhile, psychological abnormality cannot be warned in time.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a remote psychological counseling system and method based on an internet of things cloud.
The invention is realized in such a way that a remote psychological counseling system tutoring method based on an internet of things cloud comprises the following steps:
accessing an Internet of things by utilizing Internet of things communication equipment through an Internet of things communication module to carry out Internet of things communication; a user registers a psychological coaching system account by a registration program through a user account registration module; after the registration is finished, logging in the psychological counseling system by using a login program through a login module;
logging in a psychological tutoring system, and acquiring user psychological data information by adopting a psychological data acquisition module;
thirdly, according to the collected user psychological data information, the psychological state recognition module recognizes the psychological state by using a recognition program, and the psychological analysis module analyzes the psychological data by using an analysis program;
fourthly, according to the analysis result, a psychological coaching scheme is generated by a coaching scheme generation module; when the passing of the psychological abnormal data occurs, early warning is carried out by using an early warning module;
after the analysis and the guidance are finished, the cloud storage module carries out cloud storage on the physiological data by using the cloud server; the display module is used for displaying the acquired psychological data, the recognition result, the analysis result, the tutoring scheme and the early warning information by using the display;
in the first step, the method for matching the information in the login module comprises the following steps:
selecting an absolute error according to information prestored by a user and user login information, setting the absolute error as a criterion for terminating the calculation of the unmatched point, and setting a threshold value at the same time;
intercepting certain data characteristic information from user login information, and calculating an absolute error value between the data characteristic information and information prestored by a user;
calculating a corresponding error value for each characteristic data information according to the characteristic data information extracted from the user login information; meanwhile, accumulating the calculated error values, and stopping accumulation if the error values exceed a set threshold value after accumulating for a certain number of times;
calculating the error value of the whole user login information to obtain a function of certain accumulation times, wherein the point corresponding to the maximum position of the function is the optimal matching position;
in the second step, the method for acquiring data by the psychological data acquisition module comprises the following steps:
firstly, extracting n mental network data objects in a network database, and randomly selecting k objects as an initial clustering center;
according to the initial clustering center, other psychological state information of the user is obtained; calculating the similarity with the clustering center, and clustering the information of the user respectively;
and after clustering is finished, extracting the data by using a related algorithm.
Further, in the fifth step, the method for classifying data by the cloud storage module includes:
the cloud server receives psychological data information input by a user, and divides the psychological data information into a training set and a checking set;
filling the classification model with the training data set, and further training the classification model to obtain classified data;
and after the data classification is finished, verifying the accuracy of the data classification by using the inspection set.
Further, in the third step, the identification method of the mental state identification module is as follows:
(1) acquiring basic information, emotion information and position information of a monitored object through an identification program; wherein the basic information at least comprises the name and the head portrait picture of the monitored object;
(2) matching corresponding scene correlation events by taking the position information as a basis;
(3) and analyzing the basic information, the emotion information, the position information and the scene correlation event by using a preset psychological state analysis model to obtain the psychological state of the monitored object.
Further, the acquiring of the basic information, the emotion information, and the location information of the monitored object includes:
acquiring face image information of a monitored object through a camera;
carrying out face recognition and emotion recognition on the face image information, matching basic information corresponding to the face image information, and obtaining emotion information of the monitored object;
and determining the position information of the camera as the position information of the monitored object.
Further, the matching of the corresponding scene association event based on the position information includes:
matching the initial scene correlation event by taking the position information as a basis;
and correcting the initial scene correlation event according to the emotion information to obtain a corresponding scene correlation event.
Further, the modifying the initial scene associated event based on the emotion information to obtain a corresponding scene associated event includes:
acquiring voice information corresponding to the position information;
correcting the initial scene correlation event according to the emotion information and the voice information to obtain a corresponding scene correlation event;
after analyzing the basic information, the emotion information, the location information, and the scene correlation event by using a preset mental state analysis model to obtain a mental state of the monitored object, the method further includes:
obtaining corresponding warning information according to the psychological state association of the monitored object;
and sending alarm information comprising the psychological state of the monitored object and the warning information.
Further, in the fifth step, the early warning method of the early warning module is as follows:
1) receiving contents input by a user through a data acquisition program;
2) performing sentiment analysis on the content;
3) judging the mental health level according to the emotion analysis result;
4) and sending out early warning information according to the mental health level.
Further, the emotion analyzing step of the content comprises the following steps:
judging the type of the content, wherein the type comprises a text, a picture or a voice;
selecting a corresponding emotion analysis mode according to the type of the content, wherein the emotion analysis mode comprises text analysis, picture analysis and voice analysis;
the step of selecting a corresponding emotion analysis mode according to the type of the content comprises the following steps:
if the content is a text, analyzing the emotion of the content;
further, the step of analyzing the emotion of the content includes:
judging the character type of the content, wherein the character type comprises one or more combinations of Chinese, English and other characters;
and selecting an emotion analysis tool corresponding to the character type to analyze the emotion of the content.
Further, the step of selecting an emotion analysis tool corresponding to the character type to analyze the emotion of the content includes:
counting character types in the content;
if the character types comprise two or more than two languages, counting the number of characters corresponding to each character type;
calculating the proportion of the number of characters of each character type to the total number of text characters;
and calculating the emotion analysis result of the content according to the proportion of each character type.
Another object of the present invention is to provide an internet of things cloud-based remote psychological counseling system for implementing the method for counseling an internet of things cloud-based remote psychological counseling system, the internet of things cloud-based remote psychological counseling system including:
the system comprises a user account registration module, a login module, a psychological data acquisition module, a central control module, an internet of things communication module, a psychological state identification module, a psychological analysis module, a tutoring scheme generation module, an early warning module, a cloud storage module and a display module;
the user account registration module is connected with the central control module and used for registering a psychological coaching system account through a registration program;
the login module is connected with the central control module and used for logging in the psychological counseling system through a login program; the information matching method in the login module comprises the steps of selecting an absolute error according to information prestored by a user and user login information, setting the absolute error as a criterion for terminating the calculation of a mismatch point, and setting a threshold value; intercepting certain data characteristic information from user login information, and calculating an absolute error value between the data characteristic information and information prestored by a user; calculating a corresponding error value for each characteristic data information according to the characteristic data information extracted from the user login information; meanwhile, accumulating the calculated error values, and stopping accumulation if the error values exceed a set threshold value after accumulating for a certain number of times; calculating the error value of the whole user login information to obtain a function of certain accumulation times, wherein the point corresponding to the maximum position of the function is the optimal matching position;
the psychological data acquisition module is connected with the central control module and used for acquiring the psychological data information of the user, and the psychological data acquisition module carries out the data acquisition process as follows: firstly, extracting n mental network data objects in a network database, and randomly selecting k objects as an initial clustering center; according to the initial clustering center, other psychological state information of the user is obtained; calculating the similarity with the clustering center, and clustering the information of the user respectively; after clustering is completed, extracting data by using a related algorithm;
the central control module is connected with the user account registration module, the login module, the psychological data acquisition module, the internet of things communication module, the psychological state recognition module, the psychological analysis module, the tutoring scheme generation module, the early warning module, the cloud storage module and the display module and is used for controlling each module to normally work through the main control computer;
the Internet of things communication module is connected with the central control module and used for accessing the Internet of things through the Internet of things communication equipment to carry out Internet of things communication;
the psychological state identification module is connected with the central control module and is used for identifying the psychological state through an identification program; the identification method of the psychological state identification module comprises the following steps: acquiring basic information, emotion information and position information of a monitored object through an identification program; wherein the basic information at least comprises the name and the head portrait picture of the monitored object; matching corresponding scene correlation events by taking the position information as a basis; analyzing the basic information, the emotion information, the position information and the scene correlation event by using a preset psychological state analysis model to obtain the psychological state of the monitored object;
the psychological analysis module is connected with the central control module and is used for analyzing the psychological data through an analysis program;
the tutoring scheme generation module is connected with the central control module and used for generating a psychological tutoring scheme;
the early warning module is connected with the central control module and is used for early warning the physiological abnormal data; the early warning method of the early warning module comprises the following steps: receiving contents input by a user through a data acquisition program, and carrying out emotion analysis on the contents; judging the psychological health level according to the emotion analysis result, and sending out early warning information according to the psychological health level;
the cloud storage module is connected with the central control module and used for carrying out cloud storage on the physiological data through the cloud server; the method for classifying the data by the cloud storage module comprises the following steps: the cloud server receives psychological data information input by a user, and divides the psychological data information into a training set and a checking set; filling the classification model with the training data set, and further training the classification model to obtain classified data; after the data classification is finished, verifying the accuracy of the data classification by using a test set;
and the display module is connected with the central control module and used for displaying the acquired psychological data, the recognition result, the analysis result, the tutoring scheme and the early warning information through the display.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement a method for remote psychological coaching system coaching based on an internet of things cloud when executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a remote psychological coaching system coaching method based on an internet of things cloud.
The invention has the advantages and positive effects that: according to the invention, when the monitored object carries out corresponding events, the psychological state identification module can analyze the basic information, emotion information, position information and scene associated events of the monitored object according to the psychological state analysis model to obtain the corresponding psychological state of the monitored object, and can obtain timely, automatic and accurate effects on identifying the psychological state of the monitored object, thereby bringing convenience for the work of workers, reducing the workload of the workers and improving the work efficiency of the workers; meanwhile, the mental health problem can be tracked and alarmed in time through the early warning module.
According to the method for classifying data by the cloud storage module, after the data is classified, the accuracy of the classified data is judged, so that the accuracy of data classification can be improved; meanwhile, the method for acquiring the data by the psychological data acquisition module of the invention is more comprehensive and accurate for the acquired data, and lays a solid foundation for improving the quality of psychological counseling.
Drawings
Fig. 1 is a flowchart of a remote psychological coaching system coaching method based on an internet of things cloud according to an embodiment of the present invention.
Fig. 2 is a block diagram of a remote psychological counseling system based on an internet of things cloud according to an embodiment of the present invention.
In the figure: 1. a user account registration module; 2. a login module; 3. a psychological data acquisition module; 4. a central control module; 5. an Internet of things communication module; 6. a psychological state identification module; 7. a psychological analysis module; 8. a tutoring scheme generation module; 9. an early warning module; 10. a cloud storage module; 11. and a display module.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a remote psychological coaching system coaching method based on an internet of things cloud according to an embodiment of the present invention includes:
s101: the Internet of things communication module utilizes the Internet of things communication equipment to access the Internet of things for Internet of things communication; a user registers a psychological coaching system account by a registration program through a user account registration module; after the registration is finished, the psychological counseling system is logged in by a login module through a login program.
S102: and logging in a psychological tutoring system, and acquiring user psychological data information by adopting a psychological data acquisition module.
S103: according to the collected user psychological data information, the psychological state recognition module recognizes the psychological state by using a recognition program, and the psychological analysis module analyzes the psychological data by using an analysis program.
S104: according to the analysis result, a tutoring scheme generation module generates a psychological tutoring scheme; and when the psychological abnormal data passes, early warning is carried out by utilizing an early warning module.
S105: after the analysis tutoring is completed, the cloud storage module carries out cloud storage on the physiological data by utilizing the cloud server; and the display module is used for displaying the acquired psychological data, the identification result, the analysis result, the tutoring scheme and the early warning information by utilizing the display.
As shown in fig. 2, the remote psychological counseling system based on the internet of things provided by the embodiment of the present invention includes: the system comprises a user account registration module 1, a login module 2, a psychological data acquisition module 3, a central control module 4, an internet of things communication module 5, a psychological state identification module 6, a psychological analysis module 7, a tutoring scheme generation module 8, an early warning module 9, a cloud storage module 10 and a display module 11.
And the user account registration module 1 is connected with the central control module 4 and is used for registering the psychological counseling system account through a registration program.
And the login module 2 is connected with the central control module 4 and is used for logging in the psychological counseling system through a login program.
And the psychological data acquisition module 3 is connected with the central control module 4 and is used for acquiring the psychological data information of the user.
The central control module 4 is connected with the user account registration module 1, the login module 2, the psychological data acquisition module 3, the internet of things communication module 5, the psychological state recognition module 6, the psychological analysis module 7, the tutoring scheme generation module 8, the early warning module 9, the cloud storage module 10 and the display module 11, and is used for controlling all the modules to normally work through the main control computer.
And the Internet of things communication module 5 is connected with the central control module 4 and is used for accessing the Internet of things through the Internet of things communication equipment to carry out Internet of things communication.
And the psychological state identification module 6 is connected with the central control module 4 and is used for identifying the psychological state through an identification program.
And the psychological analysis module 7 is connected with the central control module 4 and is used for analyzing the psychological data through an analysis program.
And the tutoring scheme generation module 8 is connected with the central control module 4 and is used for generating a psychological tutoring scheme.
And the early warning module 9 is connected with the central control module 4 and is used for early warning the psychological abnormal data.
And the cloud storage module 10 is connected with the central control module 4 and is used for performing cloud storage on the physiological data through a cloud server.
And the display module 11 is connected with the central control module 4 and used for displaying the acquired psychological data, the recognition result, the analysis result, the tutoring scheme and the early warning information through a display.
The invention is further described with reference to specific examples.
Example 1
The invention provides a method for matching information in a login module 2 connected with a central control module 4 and used for logging in a psychological counseling system through a login program, which comprises the following steps:
and selecting an absolute error according to the information prestored by the user and the login information of the user, setting the absolute error as a criterion for terminating the calculation of the unmatched point, and setting a threshold value at the same time.
Intercepting certain data characteristic information from the user login information, and calculating an absolute error value between the data characteristic information and information prestored by the user.
And calculating a corresponding error value for each piece of characteristic data information according to the characteristic data information extracted from the user login information. And meanwhile, accumulating the calculated error values, and stopping accumulation if the error values exceed a set threshold value after accumulating for a certain number of times.
And calculating the error value of the whole user login information to obtain a function of a certain accumulation times, wherein the point corresponding to the maximum position of the function is the best matching position.
The invention provides a data acquisition method by a psychological data acquisition module 3 which is connected with a central control module and is used for acquiring user psychological data information, comprising the following steps:
firstly, in a network database, n mental network data objects are extracted, and k objects are arbitrarily selected as initial clustering centers.
Other mental state information for the user based on the initial cluster center. And calculating the similarity with the clustering center, and clustering the information of the user respectively.
And after clustering is finished, extracting the data by using a related algorithm.
The invention provides a method for classifying data by a cloud storage module 10 which is connected with a central control module 4 and is used for carrying out cloud storage on the psychological data by a cloud server, which comprises the following steps:
the cloud server receives psychological data information input by a user, and divides the psychological data information into a training set and a checking set.
And filling the classification model with the training data set, and further training the classification model to obtain the classified data.
And after the data classification is finished, verifying the accuracy of the data classification by using the inspection set.
Example 2
The identification method of the psychological state identification module 6 provided by the invention is as follows:
(1) acquiring basic information, emotion information and position information of a monitored object through an identification program; wherein the basic information at least comprises the name and the head portrait picture of the monitored object.
(2) And matching corresponding scene correlation events by taking the position information as a basis.
(3) And analyzing the basic information, the emotion information, the position information and the scene correlation event by using a preset psychological state analysis model to obtain the psychological state of the monitored object.
The invention provides a method for acquiring basic information, emotion information and position information of a monitored object, which comprises the following steps:
and acquiring the face image information of the monitored object through the camera.
And carrying out face recognition and emotion recognition on the face image information, matching basic information corresponding to the face image information, and obtaining emotion information of the monitored object.
And determining the position information of the camera as the position information of the monitored object.
The matching of the corresponding scene correlation event based on the position information provided by the invention comprises the following steps:
and matching the initial scene correlation event by taking the position information as a basis.
And correcting the initial scene correlation event according to the emotion information to obtain a corresponding scene correlation event.
The method for correcting the initial scene associated event based on the emotion information to obtain the corresponding scene associated event comprises the following steps:
and acquiring voice information corresponding to the position information.
And correcting the initial scene correlation event according to the emotion information and the voice information to obtain a corresponding scene correlation event.
After analyzing the basic information, the emotion information, the position information and the scene correlation event by using a preset psychological state analysis model to obtain the psychological state of the monitored object, the method further comprises the following steps:
and obtaining corresponding warning information according to the psychological state association of the monitored object.
And sending alarm information comprising the psychological state of the monitored object and the warning information.
The early warning method of the early warning module 9 provided by the invention comprises the following steps:
1) and receiving the content input by the user through the data acquisition program.
2) And performing emotion analysis on the content.
3) And judging the mental health level according to the emotion analysis result.
4) And sending out early warning information according to the mental health level.
The step of emotion analysis on the content provided by the invention comprises the following steps:
and judging the type of the content, wherein the type comprises text, pictures or voice.
And selecting a corresponding emotion analysis mode according to the type of the content, wherein the emotion analysis mode comprises text analysis, picture analysis and voice analysis.
The step of selecting the corresponding emotion analysis mode according to the type of the content provided by the invention comprises the following steps:
and if the content is a text, analyzing the emotion of the content.
The emotion step for analyzing the content provided by the invention comprises the following steps:
and judging the character type of the content, wherein the character type comprises one or more of Chinese, English and other characters.
And selecting an emotion analysis tool corresponding to the character type to analyze the emotion of the content.
The emotion step of selecting the emotion analysis tool corresponding to the character type to analyze the content provided by the invention comprises the following steps:
and counting character types in the content.
And if the character types comprise two or more languages, counting the number of characters corresponding to each character type.
The ratio of the number of characters of each character type to the total number of text characters is calculated.
And calculating the emotion analysis result of the content according to the proportion of each character type.
Example 3
When the invention works, firstly, the psychological coaching system account is registered by the registration program through the user account registration module 1. The psychological counseling system is logged in by a login module 2 through a login program. And the psychological data information of the user is collected through the psychological data collecting module 3. And secondly, the central control module 4 accesses the internet of things through the internet of things communication module 5 by using the internet of things communication equipment to carry out internet of things communication. The mental state is identified by a mental state identification module 6 by using an identification program. The psychological data is analyzed by the psychological analysis module 7 using an analysis program. Generating a psychological coaching scheme through a coaching scheme generation module 8; the early warning module 9 is used for early warning the physiological abnormal data; then, cloud storage is performed on the physiological data through the cloud storage module 10 by using a cloud server; and finally, the acquired psychological data, the recognition result, the analysis result, the tutoring scheme and the early warning information are displayed by the display module 11 through the display.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. A remote psychological counseling system tutoring method based on an Internet of things cloud is characterized in that the remote psychological counseling system tutoring method based on the Internet of things cloud comprises the following steps:
accessing an Internet of things by utilizing Internet of things communication equipment through an Internet of things communication module to carry out Internet of things communication; a user registers a psychological coaching system account by a registration program through a user account registration module; after the registration is finished, logging in the psychological counseling system by using a login program through a login module; the method for matching the information in the login module comprises the following steps:
selecting an absolute error according to information prestored by a user and user login information, setting the absolute error as a criterion for terminating the calculation of the unmatched point, and setting a threshold value at the same time;
intercepting certain data characteristic information from user login information, and calculating an absolute error value between the data characteristic information and information prestored by a user;
calculating a corresponding error value for each characteristic data information according to the characteristic data information extracted from the user login information; meanwhile, accumulating the calculated error values, and stopping accumulation if the error values exceed a set threshold value after accumulating for a certain number of times;
calculating the error value of the whole user login information to obtain a function of certain accumulation times, wherein the point corresponding to the maximum position of the function is the optimal matching position;
logging in a psychological tutoring system, and acquiring user psychological data information by adopting a psychological data acquisition module; firstly, extracting n psychological network data objects from a network database, and randomly selecting k objects as initial clustering centers;
according to the initial clustering center, other psychological state information of the user is obtained; calculating the similarity with the clustering center, and clustering the information of the user respectively;
after clustering is completed, extracting data by using a related algorithm;
thirdly, according to the collected user psychological data information, the psychological state identification module identifies the psychological state by using an identification program, and obtains the basic information, the emotional information and the position information of the monitored object through the identification program; wherein the basic information at least comprises the name and the head portrait picture of the monitored object;
matching corresponding scene correlation events by taking the position information as a basis;
analyzing the basic information, the emotion information, the position information and the scene correlation event by using a preset psychological state analysis model to obtain the psychological state of the monitored object;
the acquiring of the basic information, the emotion information and the position information of the monitored object includes:
acquiring face image information of a monitored object through a camera;
carrying out face recognition and emotion recognition on the face image information, matching basic information corresponding to the face image information, and obtaining emotion information of the monitored object;
determining the position information of the camera as the position information of the monitored object;
after the psychological state of the monitored object is obtained, analyzing the psychological data by using an analysis program through a psychological analysis module;
fourthly, according to the analysis result, a psychological coaching scheme is generated by a coaching scheme generation module; when the passing of the psychological abnormal data occurs, early warning is carried out by using an early warning module;
after the analysis and the guidance are finished, the cloud storage module carries out cloud storage on the physiological data by using the cloud server; and the display module is used for displaying the acquired psychological data, the identification result, the analysis result, the tutoring scheme and the early warning information by utilizing the display.
2. The method for remote psychological coaching system based on internet of things cloud as claimed in claim 1, wherein the step three of matching the corresponding scene association event based on the location information comprises:
matching the initial scene correlation event by taking the position information as a basis;
correcting the initial scene correlation event according to the emotion information to obtain a corresponding scene correlation event;
the correcting the initial scene associated event based on the emotion information to obtain a corresponding scene associated event includes:
acquiring voice information corresponding to the position information;
correcting the initial scene correlation event according to the emotion information and the voice information to obtain a corresponding scene correlation event;
after analyzing the basic information, the emotion information, the location information, and the scene correlation event by using a preset mental state analysis model to obtain a mental state of the monitored object, the method further includes:
obtaining corresponding warning information according to the psychological state association of the monitored object;
and sending alarm information comprising the psychological state of the monitored object and the warning information.
3. The method for remotely coaching the psychological coaching system based on the internet of things cloud as claimed in claim 1, wherein in the fifth step, the cloud storage module classifies the data as follows:
the cloud server receives psychological data information input by a user, and divides the psychological data information into a training set and a checking set;
filling the classification model with the training data set, and further training the classification model to obtain classified data;
after the data classification is finished, verifying the accuracy of the data classification by using a test set;
in the fifth step, the early warning method of the early warning module is as follows:
1) receiving contents input by a user through a data acquisition program;
2) performing sentiment analysis on the content;
3) judging the mental health level according to the emotion analysis result;
4) and sending out early warning information according to the mental health level.
4. The IOT cloud based remote psychological coaching method of claim 3 wherein the content sentiment analysis step comprises:
judging the type of the content, wherein the type comprises a text, a picture or a voice;
selecting a corresponding emotion analysis mode according to the type of the content, wherein the emotion analysis mode comprises text analysis, picture analysis and voice analysis;
the step of selecting a corresponding emotion analysis mode according to the type of the content comprises the following steps:
if the content is a text, analyzing the emotion of the content;
the step of analyzing the emotion of the content includes:
judging the character type of the content, wherein the character type comprises one or more combinations of Chinese, English and other characters;
and selecting an emotion analysis tool corresponding to the character type to analyze the emotion of the content.
5. The IOT cloud based remote psychological coaching method of claim 3 wherein the selecting an emotion analysis tool corresponding to the character type for analyzing the emotion of the content comprises:
counting character types in the content;
if the character types comprise two or more than two languages, counting the number of characters corresponding to each character type;
calculating the proportion of the number of characters of each character type to the total number of text characters;
and calculating the emotion analysis result of the content according to the proportion of each character type.
6. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the method of any one of claims 1-5 for internet of things cloud based remote psychological coaching system coaching when executed on an electronic device.
7. A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 5 for IOT cloud based remote psychological coaching system coaching.
8. A remote psychological counseling system based on an Internet of things cloud is characterized by comprising:
the user account registration module is connected with the central control module and used for registering a psychological coaching system account through a registration program;
the login module is connected with the central control module and used for logging in the psychological counseling system through a login program; the information matching method in the login module comprises the steps of selecting an absolute error according to information prestored by a user and user login information, setting the absolute error as a criterion for terminating the calculation of a mismatch point, and setting a threshold value; intercepting certain data characteristic information from user login information, and calculating an absolute error value between the data characteristic information and information prestored by a user; calculating a corresponding error value for each characteristic data information according to the characteristic data information extracted from the user login information; meanwhile, accumulating the calculated error values, and stopping accumulation if the error values exceed a set threshold value after accumulating for a certain number of times; calculating the error value of the whole user login information to obtain a function of certain accumulation times, wherein the point corresponding to the maximum position of the function is the optimal matching position;
the psychological data acquisition module is connected with the central control module and used for acquiring the psychological data information of the user, and the psychological data acquisition module carries out the data acquisition process as follows: firstly, extracting n mental network data objects in a network database, and randomly selecting k objects as an initial clustering center; according to the initial clustering center, other psychological state information of the user is obtained; calculating the similarity with the clustering center, and clustering the information of the user respectively; after clustering is completed, extracting data by using a related algorithm;
the central control module is connected with the user account registration module, the login module, the psychological data acquisition module, the internet of things communication module, the psychological state recognition module, the psychological analysis module, the tutoring scheme generation module, the early warning module, the cloud storage module and the display module and is used for controlling each module to normally work through the main control computer;
the Internet of things communication module is connected with the central control module and used for accessing the Internet of things through the Internet of things communication equipment to carry out Internet of things communication;
the psychological state identification module is connected with the central control module and is used for identifying the psychological state through an identification program; the identification method of the psychological state identification module comprises the following steps: acquiring basic information, emotion information and position information of a monitored object through an identification program; wherein the basic information at least comprises the name and the head portrait picture of the monitored object; matching corresponding scene correlation events by taking the position information as a basis; analyzing the basic information, the emotion information, the position information and the scene correlation event by using a preset psychological state analysis model to obtain the psychological state of the monitored object;
the psychological analysis module is connected with the central control module and is used for analyzing the psychological data through an analysis program;
and the tutoring scheme generation module is connected with the central control module and is used for generating a psychological tutoring scheme.
9. The internet-of-things cloud-based remote psychological coaching system of claim 8, wherein the internet-of-things cloud-based remote psychological coaching system further comprises:
the early warning module is connected with the central control module and is used for early warning the physiological abnormal data; the early warning method of the early warning module comprises the following steps: receiving contents input by a user through a data acquisition program, and carrying out emotion analysis on the contents; judging the psychological health level according to the emotion analysis result, and sending out early warning information according to the psychological health level;
the cloud storage module is connected with the central control module and used for carrying out cloud storage on the physiological data through the cloud server; the method for classifying the data by the cloud storage module comprises the following steps: the cloud server receives psychological data information input by a user, and divides the psychological data information into a training set and a checking set; filling the classification model with the training data set, and further training the classification model to obtain classified data; and after the data classification is finished, verifying the accuracy of the data classification by using the inspection set.
10. The system of claim 8, wherein the display module is connected to the central control module and is configured to display the collected psychological data, the recognition result, the analysis result, the coaching scheme, and the warning information via a display.
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