CN109859812B - Intelligent child-care cloud service system - Google Patents
Intelligent child-care cloud service system Download PDFInfo
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- CN109859812B CN109859812B CN201910060368.XA CN201910060368A CN109859812B CN 109859812 B CN109859812 B CN 109859812B CN 201910060368 A CN201910060368 A CN 201910060368A CN 109859812 B CN109859812 B CN 109859812B
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Abstract
The application discloses an intelligent child-care cloud service system, which is characterized in that the mental state, the physical health state, the development, nutrition and education of a fetus and an infant of a user are tracked and monitored in an omnibearing manner, the growth change of the infant is recorded and analyzed, and a user portrait is established based on user identity information, user attribute information, a user mental model, a development model of the fetus and the infant, service content used by the user and feedback; the development rules and the service requirements thereof at different stages, the development evaluation results and development guidance at different stages are taken as cores, and the duration and the extension of the service requirements of users and the prediction of big data based on the similar user services and feedback are combined; based on big data and artificial intelligence, personalized, targeted, continuous and efficient nutrition advice, health guidance, development evaluation and guidance, psychological evaluation and intervention, family doctors, education and other services are provided for the user in the child raising process.
Description
Technical Field
The application relates to an intelligent child-care cloud service system.
Background
In recent years, along with the progress of artificial intelligence technology, intelligence has become a development trend of electronic information industry, and more intelligent products are emerging in the living field and enter into families. On the other hand, along with the continuous aggravation of the Chinese social competition, the requirements of parents on child health and education are higher and higher, and the 'no child is transported on the starting line' has become the common consensus of Chinese parents, so that the parents always attach importance to the nutrition, health, development, education and other aspects of the children from the pregnancy stage. At present, the existing services for providing nutrition, health, development and education in the market mainly comprise books, websites and mobile phone APP, but the services have obvious defects in the aspects of individuation, service quality, service efficiency, service continuity and the like, and in the aspect of service individuation, the knowledge content provided by the existing books, websites and mobile phone APP is basically universal, but only provides content services according to the gestational week of a user or the birth time and sex of a child, and the custom-made services cannot be carried out according to the self situation of each user; in terms of service quality, although the existing books, websites and mobile phone APP describe part of problems, the general description and the actual situation of users often have differences, so that the solution provided by the mobile phone APP can only be used as a reference, and the accuracy and pertinency are insufficient; in terms of service efficiency, the efficiency of referring to books and websites is low; in terms of service continuity, the services provided by the existing books, websites and mobile phone APP are punctiform, and can not be used for continuously tracking and monitoring nutrition, health, development and education of users and predicting development trend.
Disclosure of Invention
The application aims to provide an intelligent child-care cloud service system which can provide personalized, targeted, continuous and efficient child-care services for users.
In order to solve the technical problems, the application provides an intelligent child-care cloud service system, which comprises
The user image drawing subsystem is used for collecting user identity information, user attribute information, a user psychological model, a fetal and infant development model and service content and feedback used by a user, and establishing a user image according to the user identity information, the user attribute information, the user psychological model, the fetal and infant development model and the service content and feedback information used by the user;
the development and nutrition subsystem is used for providing nutrition guidance services for users according to development models, development rules, development stages and required nutrition of fetuses and infants;
the health guidance subsystem is used for providing corresponding health guidance services for users in the pregnancy stage and the child-care stage;
the psychological intervention subsystem is used for evaluating psychological states of the user in the pregnancy stage and the postpartum stage, identifying causes of psychological risks, performing psychological early warning on the user with the risks according to psychological state evaluation results, and providing psychological relief guiding service and psychological consultation service for the user;
the development evaluation and guidance subsystem is used for evaluating the development condition of the fetus at the pregnancy stage and the development condition of the infant in the child-bearing process, identifying weak links or potential risks in the development process and providing improved guidance service for users;
the education subsystem is used for providing prenatal education guidance service for users and fetuses and early education guidance service for infants;
the intelligent child-care cloud service system interacts with a user through a front-end service terminal.
Further, the user image subsystem includes:
the user identity information acquisition module is used for acquiring user identity information and updated information of the user in different child-raising stages;
the user attribute information acquisition module is used for acquiring user attribute information;
the system comprises a user psychological model acquisition module, a psychological intervention subsystem and a user psychological model management module, wherein the user psychological model acquisition module is used for acquiring psychological state evaluation results obtained after the psychological intervention subsystem evaluates the psychological states of the user, incentive types with psychological risks and user psychological indexes pointed by high-frequency services of the user in the service process, and establishing a psychological state model related to the user;
the development evaluation acquisition module is used for acquiring development evaluation and guiding subsystem to establish a development model of the fetus or infant on the development evaluation results of the fetus and infant;
the user use service tracking and predicting module is used for tracking the service content used by the user and the feedback or in-use service content thereof, and predicting the requirement of the user according to the service content used by the user and the feedback or in-use service content thereof;
and the user big data prediction module is used for establishing a big data model according to the service used by the user group of the similar user portraits and the evaluation thereof, and predicting the user demand trend according to the big data model.
Further, the development and nutrition subsystem includes:
the nutrition guidance service module is used for providing nutrition and diet guidance services for users according to the development rule of fetuses in combination with user figures;
the nutrition guidance service module is used for providing nutrition and diet guidance services for users according to the development rule of infants and combining user figures.
Further, the health guidance subsystem includes:
the pregnancy stage health guidance service module is used for providing matters needing to be noted in the pregnancy stage and possibly occurring changes and discomfort for the user, and simultaneously providing whether the discomfort occurring in the pregnancy process is normal or not for the user, and informing the user that the user is normal if the discomfort is normal; if not, providing instruction service for relieving discomfort for the user;
the child care stage health guidance service module is used for providing user care guidance services after the birth of infants and infant care guidance services for users;
the problem consultation module is used for matching the problems initiated by the user with the user portrait and the current stage of the user according to the problems initiated by the user, searching whether a targeted solution exists in a database of the system, outputting a corresponding solution if the targeted solution exists, inquiring whether the user is effective for the output solution, completing the service if the user is effective, starting the manual service if the user is ineffective, carrying out online answer by a background health expert through the online health consultation module, and storing the problems initiated by the user and the solutions answered by the background health expert in the database; if the targeted solution is not found in the database, directly starting the manual service, carrying out online answer by the background health expert through the online health inquiry module, and storing the solution of the problem initiated by the user and the answer of the background health expert in the database.
Further, when a user initiates a problem, the problem consultation module interacts with the limiting condition of the problem by the user through the front-end service terminal so as to accurately identify the problem initiated by the user.
Further, the problem consultation module can also be used for establishing a user diet habit model according to the diet-related problems initiated by the user and establishing a user behavior habit model according to the behavior-related problems initiated by the user.
Further, the psychological intervention subsystem comprises:
the psychological state assessment module is used for assessing the psychological state of the user in the pregnancy stage and the child-bearing stage, identifying the incentive type with psychological risk, and assessing the psychological state according to the index or content pointed by the high frequency of the user in the service providing process of the system;
the psychological early warning module is used for judging whether the psychological state of the user has risks according to the psychological state evaluation result in the psychological state evaluation module of the user, and if so, early warning is carried out on the psychological state of the user;
the psychological relief module is used for providing guiding suggestions and corresponding services for relieving psychological stress for users with psychological risks;
and the online psychological doctor module is used for providing online psychological consultation and assessment services for the user.
Further, the development assessment and guidance subsystem includes:
the development index management module is used for managing index systems, test items, evaluation methods and index reference values of fetuses and infants;
the development evaluation module is used for evaluating the fetus and infant according to the test items and the evaluation method, comparing the evaluation result with the index reference value and identifying weak links or potential risks in the development process;
and the development guidance service module is used for providing improved guidance service for the user according to the weak links or the potential risks identified by the development evaluation module.
Further, the educational subsystem includes:
the antenatal training module comprises an antenatal training program sub-module, a present antenatal training sub-module, an antenatal training demonstration sub-module and a program execution sub-module, wherein the antenatal training module is used for providing the user with the antenatal training in the pregnancy stage;
the language interaction early education module displays pictures, characters, videos and the like through the front-end service terminal to perform language interaction with the infants, recognizes, evaluates and corrects the voices of the infants in the interaction, and formulates a personalized early education scheme according to the language development capability of the infants;
the habit interaction early education module displays behavior habits in various simulation scenes to infants through a front-end service terminal, interacts with the infants in a mode of guiding the infants to answer questions, and then recognizes, evaluates and corrects the answers of the infants;
the education guiding module is used for providing the antenatal training guiding service for the user and providing the targeted early education guiding service for the user according to the infant development assessment result obtained by the development assessment and guiding subsystem.
Further, the system also includes an online mall subsystem, the online mall subsystem comprising:
and the user child-care product demand model module is used for establishing a user child-care product demand model according to the child-care product demand rules of each child-care stage of the user and combining the user figures.
The user child care product matching recommendation module is used for firstly carrying out attribute identification on child care product types provided by merchants according to the dimension of the user child care product demand model, matching and recommending the user child care product demand model with the child care product identifications provided by the merchants, and updating the user child care product demand model and the child care product matching recommendation algorithm according to whether the user accepts the recommendation and the satisfaction degree of the acceptance recommendation;
the user child-care service demand model module is used for establishing a user child-care service demand model according to child-care service demand rules of each child-care stage of a user and combining user figures;
the service matching recommendation module is used for firstly carrying out attribute identification on the child-care service type provided by the merchant according to the dimension of the user child-care service demand model, matching and recommending the user child-care service demand model and the child-care service identification provided by the merchant, and updating the user service demand model and the service matching recommendation algorithm according to whether the user accepts the recommendation and the satisfaction degree of the recommendation;
the online mall module is used for displaying a mall commodity or service list through the front-end service terminal after the child care products or child care service recommendations are approved by the user, and the mall list is ordered according to the matching degree;
the settlement payment module is used for automatically settling accounts after the user confirms the selected goods or service, and automatically paying after the user inputs a payment password;
the advertisement pushing module is used for carrying out attribute identification on the third-party advertisement according to the user child care product demand model and the user child care service demand model, and carrying out advertisement pushing on the user with high matching degree between the advertisement attribute and the user child care product demand model or the user child care service demand model.
The beneficial effects of the application are as follows: through carrying out omnibearing continuous tracking monitoring on the psychological state, the physical health state, the development, nutrition and education of fetuses and infants, the growth change of infants is recorded and analyzed, and a user portrait is built on the basis of user identity information, user attribute information, a user psychological model, a development model of fetuses and infants, service contents used by users and feedback; the development rules and the service requirements thereof at different stages, the development evaluation results and development guidance at different stages are taken as cores, and the duration and the extension of the service requirements of users and the prediction of big data based on the similar user services and feedback are combined; based on big data and artificial intelligence, personalized, targeted, continuous and efficient nutrition proposal service, health guidance service, development evaluation and guidance service, psychological evaluation and intervention service, family doctor, education and other services are provided for the user in the child raising process through a user portrait algorithm.
Drawings
The accompanying drawings, in which like reference numerals refer to identical or similar parts throughout the several views and which are included to provide a further understanding of the application, are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application and not to limit the application unduly. In the drawings:
FIG. 1 is a schematic diagram of an embodiment of the present application;
Detailed Description
The intelligent child-care cloud service system shown in fig. 1 comprises a user image subsystem, a development and nutrition subsystem, a health guidance subsystem, a psychological intervention subsystem, a development evaluation and guidance subsystem, an education subsystem and the like. The intelligent child-care cloud service system uses a front-end service terminal as a carrier to interact with a user.
The user portrait subsystem is mainly used for collecting user identity information, user attribute information, a user psychological model, a fetal and infant development model and service content and feedback used by a user, and establishing a user portrait according to the user identity information, the user attribute information, the user psychological model, the fetal and infant development model and the service content and feedback information used by the user, and the subsystem mainly comprises:
(1) The user identity information acquisition module is used for acquiring user identity information and updated information of the user in different child-raising stages; wherein the user identity information comprises nickname, gender, age, user image, user voiceprint, number of weeks of pregnancy, date of birth of the baby, gender information of the baby, etc.;
(2) The user attribute information acquisition module is used for acquiring user attribute information; wherein, the user attribute information comprises health, character, occupation, hobbies, life habit information and the like of the user;
(3) The system comprises a user psychological model acquisition module, a psychological intervention subsystem and a user psychological model management module, wherein the user psychological model acquisition module is used for establishing a psychological state model according to a psychological state evaluation result obtained after the psychological intervention subsystem evaluates the psychological state of a user, the incentive type with psychological risks and a user psychological index pointed by high-frequency service of the user in the service process;
(4) The development evaluation acquisition module is used for establishing a development model of the fetus or the infant according to the development evaluation result of the development evaluation and guidance subsystem on the fetus and the infant;
(5) The user use service tracking and predicting module is used for tracking the service content used by the user and the feedback or in-use service content thereof, and predicting the requirement of the user according to the service content used by the user and the feedback or in-use service content thereof;
(6) And the user big data prediction module is used for establishing a big data model according to the service used by the user group of the similar user portraits and the evaluation thereof, and predicting the user demand trend according to the big data model.
The development and nutrition subsystem is mainly used for providing nutrition guarantee advice for users according to the development emphasis of fetus in pregnancy, the stage of month, the development emphasis of infant in different stages from birth to 36 months and the nutrition requirement thereof, and the subsystem mainly comprises:
(1) Nutrient guidance service module for pregnancy stage
The nutrition guidance service module in the pregnancy stage is used for providing nutrition and diet guidance services for users according to the development rule of fetuses in combination with user figures. In the pregnancy stage, the system provides nutrition advice for the user based on the fetal development rule and provides nutrition meal recommendation service of the current day for the user in the forms of images, audio and video and the like by combining the eating habit of the user.
(2) Nutrition guidance service module for child-care stage
The nutrition guidance service module in the child-care stage is used for providing nutrition and diet guidance services for users according to the development rule of infants and combining user figures. In the child-care stage, the system provides the user nutrition guarantee and the infant nutrition guarantee for the user based on the front-end service terminal according to the development rule of the infant.
The health guidance subsystem is mainly used for providing health guidance services corresponding to the pregnancy stage and the child-care stage for users, and mainly comprises the following components:
(1) Health guidance service module for pregnancy stage
The health guidance service module is mainly used for providing matters needing to be noted in the pregnancy stage and possibly occurring changes and discomfort for the user, and simultaneously providing whether the discomfort occurring in the pregnancy process is normal or not for the user, and informing the user that the user is normal if the discomfort is normal; if not, providing instruction service for relieving discomfort to the user.
(2) Health guidance service module for child-care stage
The health guidance service module in the child care stage is mainly used for providing professional user care guidance service and professional infant care guidance service for the user after the infant is born.
(3) Problem consultation module
The problem consultation module is a module for actively initiating a service request by a user, is an important source for updating a user psychological model and tracking, continuing and extending of the service, is mainly used for matching the problem initiated by the user with the user portrait and the current stage of the user according to the problem initiated by the user, searching whether a targeted solution exists in a database of the system, outputting a corresponding solution if the targeted solution exists, inquiring whether the user is effective for the outputted solution, completing the service if the targeted solution is effective, starting a manual service if the targeted solution is ineffective, carrying out online answer by a background health expert through an online health consultation module, and storing the problem initiated by the user and the solution answered by the background health expert in the database; if the targeted solution is not found in the database, the manual service is directly started, the background health expert answers online through the online health inquiry module, and the solution of the problem initiated by the user and the answer of the background health expert is stored in the database so as to continuously perfect the service capability. In addition, the module can also establish a user eating habit model according to the problems related to eating initiated by the user, and establish a user behavior habit model according to the problems related to behavior initiated by the user.
Aiming at the problems presented by the user, the system firstly carries out preliminary matching based on the conditions of the user portrait, the current stage and the like, and interacts with the limiting conditions of the user around the presented problems through the front-end service terminal, so that the problems presented by the user are continuously and accurately identified.
(4) On-line health inquiry module
The on-line health inquiry module is used for providing on-line health inquiry service for users, takes a front-end service terminal as a carrier, takes video as an interactive service module, mainly provides on-line medical health service for users in pregnancy and child care stages according to the allowed range of national Internet medical policy, and comprises doctor selection, doctor inquiry, doctor return visit, service evaluation, health files, service charging and other modules.
(1) Doctor selection module
Before a user selects a doctor, the system first provides the user with available doctors and their profiles for selection through a doctor selection module that supports home doctors in support of fixed home doctors and non-fixed home doctor modes.
(2) On-line inquiry module
The user takes a front-end service terminal as a carrier, takes online videos as interaction, initiates online consultation service of family doctor service through an online consultation module, and proposes treatment or therapy advice which can be implemented after being approved by the user; the online consultation supports multiple parties to access simultaneously under the consent of the users so as to ensure that users who are not in the same place can participate in the consultation process simultaneously.
(3) Doctor return visit module
The home doctor who provides the online consultation last time uses the front-end service terminal as a carrier, uses the online video as interaction, initiates service through the doctor return visit module so as to track and know the latest condition of the user and propose the next processing suggestion.
(4) Service evaluation module
After the service of the family doctor is finished, the user can evaluate the service quality, service attitude and service effect of the family doctor through the service evaluation module, and the evaluation result is used as the basis of performance and elimination of the family doctor.
(5) Queuing module
The queuing module is used for enabling a user to wait for the home doctor according to queuing rules when the home doctor is in a busy state, enabling the user to see information such as queuing number and predicted waiting time, and enabling the doctor to see waiting number at the doctor side.
(6) Appointment doctor module
The user can reserve doctor through the front-end service terminal, and before the reserved time is reached, the system reminds the user and doctor through the reserved doctor module.
(7) Health archive module
The health file is used for establishing a user health file based on the treatment record of the user through the family doctor and the treatment record of the user going to the hospital, and is used as a user health development trend analysis and a subsequent treatment history reference.
(8) Service charging module
Service billing is responsible for calculating the amount of charge a family doctor provides medical health services to a user.
The psychological intervention subsystem is mainly used for evaluating psychological states of users in pregnancy and postpartum stages, identifying incentive types with psychological risks, carrying out psychological early warning on the users with the psychological risks according to psychological state evaluation results, and providing psychological relief guiding service and psychological consultation service for the users; on the one hand, the psychological intervention subsystem evaluates the psychology of the user, discovers, intervenes and processes psychological problems as soon as possible; on the other hand, the requirements of the user are evaluated so as to establish or update a psychological model of the user, so as to provide targeted services according to the requirements of the user, and the subsystem mainly comprises:
(1) Psychological state evaluation module
The psychological state assessment module is mainly used for assessing the psychological state of the user in the pregnancy stage and the child-care stage, identifying the cause type with psychological risk, and assessing the psychological state according to the index or content of the high-frequency direction of the user in the service providing process of the system; meanwhile, through psychological state assessment, data such as a psychological model of a user can be established or updated, so that targeted service can be provided according to the user requirements;
(2) Psychological early warning module
The psychological early warning module is used for judging whether the psychological state of the user has risks according to the psychological state evaluation result in the psychological state evaluation module of the user, if so, early warning is carried out on the psychological state of the user, and processing suggestions are automatically provided.
(3) Psychological relief module
The psychological relief module is used for providing guiding services and service contents for relieving psychological stress for users with psychological risks.
(4) Online psychological doctor module
The on-line psychological doctor module is used for providing on-line psychological consultation and assessment service for the user. Similarly, the online psychological inquiry module is used for providing online psychological inquiry service for the user, takes the front-end service terminal as a carrier, and takes the video as a service module of an interactive mode, and comprises doctor selection, doctor inquiry, doctor return visit, service evaluation, health files, service charging and other modules, which are not described herein.
The development evaluation and guidance subsystem is mainly used for evaluating the development condition of a fetus in a pregnancy stage and the development condition of an infant in a child-bearing process, identifying weak links or potential risks in the development process and providing improved guidance services for users, and mainly comprises the following components:
(1) Development index management module
The development index management module is used for managing index systems, test projects, evaluation methods and index reference values of fetuses and infants.
(2) Development evaluation module
The development evaluation module is used for evaluating the fetus and infant according to the test items and the evaluation method, comparing the evaluation result with the index reference value and identifying weak links or potential risks in the development process; the system mainly comprises a pregnancy evaluation sub-module, a comprehensive capacity development evaluation sub-module, an air quality evaluation sub-module, a sleep evaluation sub-module, an autism screening sub-module, a development file and other sub-modules.
(3) Development guidance service module
The development guidance service module is used for providing improvement guidance service for the user according to the weak links or the potential risks identified by the development evaluation module.
The education subsystem is mainly used for providing prenatal education guidance service for users and fetuses and early education guidance service for infants, and mainly comprises:
(1) Antenatal training module
The antenatal training module comprises an antenatal training module for providing a user with antenatal training in a pregnancy stage, creating a good development environment for a fetus, and providing the user with systematic, continuous and omnibearing antenatal training services, and comprises an antenatal training planning sub-module, a today's antenatal training sub-module, an antenatal training demonstration sub-module and a planning execution sub-module;
(2) Language interaction early education module
The language interaction early education module displays pictures, characters, videos and the like through the front-end service terminal to perform language interaction with infants, recognizes, evaluates and corrects the voices of the infants in the interaction, and formulates a personalized early education scheme according to the language development capability of the infants.
(3) Habit interaction early education module
The front-end service terminal displays behavior habits under various simulation scenes to the infants, the front-end service terminal interacts with the infants in a mode of guiding the infants to answer questions, and then answers of the infants are identified, evaluated and corrected.
In addition, the system also comprises an online mall subsystem, the online mall subsystem mainly recommends child care products, child care services or other related products to the user through a front-end service terminal according to the requirements of child care products and child care services at each stage of the user, user figures, development conditions of infants, big data analysis results of the child care products and the like, and the online mall subsystem is entered after the user agrees, and the subsystem mainly comprises:
(1) Demand model module for child care products
And the user child-care product demand model module is used for establishing a user child-care product demand model according to the child-care product demand rules of each child-care stage of the user and combining the user figures.
(2) Child care product matching recommendation module
The user child care product matching recommendation module is used for firstly carrying out attribute identification on child care product types provided by merchants according to the dimension of the user child care product demand model, matching and recommending the user child care product demand model with the child care product identifications provided by the merchants, and updating the user child care product demand model and the child care product matching recommendation algorithm according to whether the user accepts the recommendation and the satisfaction degree of the acceptance recommendation.
(3) User child-care service demand model module
The user child-care service demand model module is used for establishing a user child-care service demand model according to child-care service demand rules of each child-care stage of a user and combining user figures;
(4) User child care service matching recommendation module
The user child-care service matching recommendation module is used for firstly carrying out attribute identification on child-care service types provided by merchants according to the dimensionality of the user child-care service demand model, matching and recommending the user child-care service demand model and the child-care service identifications provided by the merchants, and updating the user service demand model and a service matching recommendation algorithm according to whether the user accepts the recommendation and the satisfaction degree of the recommendation;
(5) Online mall module
The online mall module is used for displaying a mall commodity or service list through the front-end service terminal after the child care products or child care service recommendations are approved by the user, and the mall list is ordered according to the matching degree;
(6) Settlement payment module
The settlement payment module is used for automatically settling accounts after the user confirms the selected goods or service, and automatically paying after the user inputs a payment password;
(7) Advertisement pushing module
The advertisement pushing module is used for carrying out attribute identification on the third-party advertisement according to the user child care product demand model and the user child care service demand model, and carrying out advertisement pushing on the user with high matching degree between the advertisement attribute and the user child care product demand model or the user child care service demand model.
The front-end service terminal mainly comprises a home intelligent service robot, a mobile phone, a tablet personal computer, a personal computer and the like.
The home intelligent service robot is provided with a voice recognition and synthesis module, and a user interacts with the home intelligent service robot mainly through voice. When a user initiatively initiates a service request through voice, the home intelligent service robot carries out user natural semantic analysis through the voice recognition and synthesis module and matches with services available to an intelligent child-care system carried by the home intelligent service robot, user service request content and target users are recognized, meanwhile, the service request content is sent to a cloud computing center through a network, a user image subsystem deployed in the cloud computing center matches the target users, a matching result of the user image and the user service request jointly generate service content matched with the user request, if the service request of the user has ambiguity, an intelligent child-care cloud service system of the cloud computing service center inquires the user through the home intelligent service robot about limiting conditions to accurately recognize the user request and generate accurate service content, the cloud computing center returns the service content to the home intelligent service robot after the service content is determined, the home intelligent service robot finds the target users through a self motion control system and an algorithm, and the service content is converted into voice through the voice recognition and synthesis module to output the service result to the target users. If the output service result can not meet the user requirement or the corresponding solution can not be found in the intelligent child care service system, starting the manual service, and after the manual service is finished, adding the corresponding solution into the intelligent child care service system. When the intelligent child-care cloud service system needs to actively provide services for users, firstly, the services to be initiated and target users are pushed to the home intelligent service robot, after the home robot finds the target users, the home robot actively initiates service requests to the target users, and converts service contents into voices through the voice recognition and synthesis module to output the service contents to the target users, and in the service process, if the users or the intelligent child-care cloud service system need to perform further interaction, the service is completed through the home intelligent service robot.
In addition, the mobile terminal APP of the intelligent child care cloud service system can be installed on mobile terminals such as mobile phones and tablet computers to provide services for users. When a user initiatively initiates a service request, the user inputs a service request in a mobile terminal APP or operates the service request through a mobile terminal APP function menu guide button, the intelligent child-care cloud service system identifies the service request content of the user according to the input service request content of the user in the mobile terminal APP or the service direction of the mobile terminal APP function menu guide button, the mobile terminal APP sends the service request content and user mobile phone information to a cloud computing center through a network, a user image subsystem deployed in the cloud computing center matches a target user, a matching result of the user image and the user service request together generate service content matched with the user request, if the service request of the user has ambiguity, an intelligent child-care cloud service system of the cloud computing service center inquires limiting conditions to the user through the mobile terminal APP so as to accurately identify the user request and generate accurate service content, after the service content is determined, the cloud computing center returns the service content result to the mobile terminal APP, if the output service result cannot meet the user request or a corresponding solution cannot be found in the intelligent child-care service system, manual service is started, and the corresponding artificial service is newly added to the intelligent child-care service system after the artificial service is completed. When the intelligent child-care cloud service system needs to actively provide services for users, firstly, the services to be initiated and the target users are pushed to the mobile terminal APP, the users are reminded to review, and in the service process, if the users or the intelligent child-care cloud service system need to perform further interaction, the services and the target users are completed through the mobile terminal APP.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered by the scope of the claims of the present application.
Claims (9)
1. The intelligent child-care cloud service system is characterized by comprising a user image subsystem, wherein the user image subsystem is used for collecting user identity information, user attribute information, a user psychological model, a fetal and infant development model, service content and feedback used by a user, and establishing a user image according to the user identity information, the user attribute information, the user psychological model, the fetal and infant development model, the service content used by the user and the feedback information;
the development and nutrition subsystem is used for providing nutrition guidance services for users according to development models, development rules, development stages and required nutrition of fetuses and infants;
the health guidance subsystem is used for providing corresponding health guidance services for users in the pregnancy stage and the child-care stage;
the psychological intervention subsystem is used for evaluating psychological states of the user in the pregnancy stage and the postpartum stage, identifying causes of psychological risks, performing psychological early warning on the user with the risks according to psychological state evaluation results, and providing psychological relief guiding service and psychological consultation service for the user;
the development evaluation and guidance subsystem is used for evaluating the development condition of the fetus at the pregnancy stage and the development condition of the infant in the child-bearing process, identifying weak links or potential risks in the development process, and providing improved guidance service for users by combining the psychological state evaluation result and the psychological risk incentive identification result;
the education subsystem is used for providing prenatal education guiding service for the user and the fetus and providing early education guiding service for the infant by combining with the development evaluation result of the infant;
the intelligent child-care cloud service system interacts with a user through a front-end service terminal;
the user image subsystem includes:
the user identity information acquisition module is used for acquiring user identity information and updated information of the user in different child-raising stages;
the user attribute information acquisition module is used for acquiring user attribute information;
the system comprises a user psychological model acquisition module, a psychological intervention subsystem and a user psychological model management module, wherein the user psychological model acquisition module is used for acquiring psychological state evaluation results obtained after the psychological intervention subsystem evaluates the psychological states of the user, incentive types with psychological risks and user psychological indexes pointed by high-frequency services of the user in the service process, and establishing a psychological state model related to the user;
the development evaluation acquisition module is used for acquiring development evaluation and guiding subsystem to establish a development model of the fetus or infant on the development evaluation results of the fetus and infant;
the user use service tracking and predicting module is used for tracking the service content used by the user and the feedback or in-use service content thereof, and predicting the requirement of the user according to the service content used by the user and the feedback or in-use service content thereof;
the user big data prediction module is used for establishing a big data model according to the service used by the user group of the similar user portraits and the evaluation thereof, and predicting the user demand trend according to the big data model;
the health guidance subsystem includes:
the pregnancy stage health guidance service module is used for providing matters needing to be noted in the pregnancy stage and possibly occurring changes and discomfort for the user, and simultaneously providing whether the discomfort occurring in the pregnancy process is normal or not for the user, and informing the user that the user is normal if the discomfort is normal; if not, providing instruction service for relieving discomfort for the user;
the child care stage health guidance service module is used for providing user care guidance services after birth and infant care guidance services for users.
2. The intelligent child-care cloud service system of claim 1, wherein the development and nutrition subsystem comprises:
the nutrition guidance service module is used for providing nutrition and diet guidance services for users according to the development rule of fetuses in combination with user figures;
the nutrition guidance service module is used for providing nutrition and diet guidance services for users according to the development rule of infants and combining user figures.
3. The intelligent child care cloud service system of claim 1, wherein the health guidance subsystem further comprises:
the problem consultation module is used for matching the problems initiated by the user with the user portrait and the current stage of the user according to the problems initiated by the user, searching whether a targeted solution exists in a database of the system, outputting a corresponding solution if the targeted solution exists, inquiring whether the user is effective for the output solution, completing the service if the user is effective, starting the manual service if the user is ineffective, carrying out online answer by a background health expert through the online health consultation module, and storing the problems initiated by the user and the solutions answered by the background health expert in the database; if the targeted solution is not found in the database, directly starting the manual service, carrying out online answer by the background health expert through the online health inquiry module, and storing the problem initiated by the user and the solution answered by the background health expert in the database;
and the online health inquiry module is used for providing online health inquiry service for the user.
4. The intelligent child-care cloud service system of claim 3, wherein the question consultation module interacts with the user through the front-end service terminal to define conditions of the raised questions when the user initiates the questions, so as to accurately identify the initiated questions of the user.
5. The intelligent child-care cloud service system of claim 4, wherein the problem consulting module is further operable to establish a user eating habit model based on user-initiated diet-related problems and a user behavior habit model based on user-initiated behavior-related problems.
6. The intelligent child-care cloud service system of claim 1, wherein the psychological intervention subsystem comprises:
the psychological state assessment module is used for assessing the psychological state of the user in the pregnancy stage and the child-bearing stage, identifying the incentive type with psychological risk, and assessing the psychological state according to the index or content pointed by the high frequency of the user in the service providing process of the system;
the psychological early warning module is used for judging whether the psychological state of the user has risks according to the psychological state evaluation result in the psychological state evaluation module of the user, and if so, early warning is carried out on the psychological state of the user;
the psychological relief module is used for providing guiding suggestions and corresponding services for relieving psychological stress for users with psychological risks;
and the online psychological doctor module is used for providing online psychological consultation and assessment services for the user.
7. The intelligent child-care cloud service system of claim 1, wherein the development assessment and guidance subsystem comprises:
the development index management module is used for managing index systems, test items, evaluation methods and index reference values of fetuses and infants;
the development evaluation module is used for evaluating the fetus and infant according to the test items and the evaluation method, comparing the evaluation result with the index reference value and identifying weak links or potential risks in the development process;
and the development guidance service module is used for providing improved guidance service for the user according to the weak links or the potential risks identified by the development evaluation module.
8. The intelligent child-care cloud service system of claim 1, wherein the educational subsystem comprises:
the antenatal training module comprises an antenatal training program sub-module, a present antenatal training sub-module, an antenatal training demonstration sub-module and a program execution sub-module, wherein the antenatal training module is used for providing the user with the antenatal training in the pregnancy stage;
the language interaction early education module displays pictures, characters and videos through the front-end service terminal to perform language interaction with infants, recognizes, evaluates and corrects the voices of the infants in the interaction, and formulates a personalized early education scheme according to the language development capability of the infants;
the habit interaction early education module displays behavior habits in various simulation scenes to infants through a front-end service terminal, interacts with the infants in a mode of guiding the infants to answer questions, and then recognizes, evaluates and corrects the answers of the infants;
the education guiding module is used for providing the antenatal training guiding service for the user and providing the targeted early education guiding service for the user according to the development evaluation result obtained by the development evaluation and guiding subsystem.
9. The intelligent child-care cloud service system of claim 1, further comprising an online mall subsystem, the online mall subsystem comprising:
the user child-care product demand model module is used for establishing a user child-care product demand model according to the child-care product demand rules of each child-care stage of the user and combining user figures;
the user child care product matching recommendation module is used for firstly carrying out attribute identification on child care product types provided by merchants according to the dimension of the user child care product demand model, matching and recommending the user child care product demand model with the child care product identifications provided by the merchants, and updating the user child care product demand model and the child care product matching recommendation algorithm according to whether the user accepts the recommendation and the satisfaction degree of the acceptance recommendation;
the user child-care service demand model module is used for establishing a user child-care service demand model according to child-care service demand rules of each child-care stage of a user and combining user figures;
the service matching recommendation module is used for firstly carrying out attribute identification on the child-care service type provided by the merchant according to the dimension of the user child-care service demand model, matching and recommending the user child-care service demand model and the child-care service identification provided by the merchant, and updating the user service demand model and the service matching recommendation algorithm according to whether the user accepts the recommendation and the satisfaction degree of the recommendation;
the online mall module is used for displaying a mall commodity or service list through the front-end service terminal after the child care products or child care service recommendations are approved by the user, and the mall list is ordered according to the matching degree;
the settlement payment module is used for automatically settling accounts after the user confirms the selected goods or service, and automatically paying after the user inputs a payment password;
the advertisement pushing module is used for carrying out attribute identification on the third-party advertisement according to the user child care product demand model and the user child care service demand model, and carrying out advertisement pushing on the user with high matching degree between the advertisement attribute and the user child care product demand model or the user child care service demand model.
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Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610445A (en) * | 2019-10-16 | 2019-12-24 | 重庆培宝佳方教育科技有限公司 | Infant family education method and system |
| CN111105862A (en) * | 2019-11-22 | 2020-05-05 | 青岛海信智慧家居系统股份有限公司 | Recipe recommendation method and device based on existing food materials of refrigerator and refrigerator |
| CN111710385B (en) * | 2020-06-23 | 2023-07-07 | 常州市第三人民医院 | Multi-dimensional personal health portrait system and method |
| CN111899843A (en) * | 2020-07-31 | 2020-11-06 | 徐涛 | Method and device for intervening mental health of 0-6 year old children |
| CN111938659B (en) * | 2020-08-13 | 2021-03-16 | 深圳市创泽视科技有限公司 | Infant monitoring system and monitoring device thereof |
| CN112309515B (en) * | 2020-10-30 | 2024-01-23 | 中国人民解放军陆军军医大学第二附属医院 | Coronary heart disease health education system and method based on patient requirements |
| CN112509712A (en) * | 2020-12-31 | 2021-03-16 | 曜立科技(北京)有限公司 | Tracking feedback method and system for puerpera information |
| CN112965392A (en) * | 2021-02-01 | 2021-06-15 | 读书郎教育科技有限公司 | Early education robot system and method capable of being gnawed |
| CN113284618B (en) * | 2021-04-14 | 2022-07-22 | 北京育学园健康管理中心有限公司 | Infant health assessment method |
| CN113782133A (en) * | 2021-09-27 | 2021-12-10 | 成都脉讯科技有限公司 | Intelligent informatization health management and analysis system for women and children |
| CN117059278B (en) * | 2023-10-12 | 2024-01-30 | 北京大学人民医院 | Method, device, apparatus and storage medium for assessing infant growth |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110098126A (en) * | 2010-02-26 | 2011-09-01 | 박재우 | Online service method of contents providing for fit into pregnancy, childbirth, childcare |
| KR101592021B1 (en) * | 2014-07-31 | 2016-02-05 | 웰니스인텔리전스(주) | Personalized pregnancy, birth, postnatal care-related information providing service method, apparatus and system |
| CN105787260A (en) * | 2016-02-19 | 2016-07-20 | 北京崔玉涛儿童健康管理中心有限公司 | Intelligent pregnancy method guiding system based on user data |
| CN107358034A (en) * | 2017-06-26 | 2017-11-17 | 怡璟科技（北京）有限公司 | The comprehensive monitoring and controlling method and system of a kind of children's health |
| CN108172294A (en) * | 2017-12-28 | 2018-06-15 | 济南尚健信息技术有限公司 | A kind of children's comprehensive development management application platform based on internet |
| CN108564987A (en) * | 2018-03-06 | 2018-09-21 | 施轶 | The assessment interfering system and method for a kind of autism of children or hypoevolutism |
-
2019
- 2019-01-22 CN CN201910060368.XA patent/CN109859812B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110098126A (en) * | 2010-02-26 | 2011-09-01 | 박재우 | Online service method of contents providing for fit into pregnancy, childbirth, childcare |
| KR101592021B1 (en) * | 2014-07-31 | 2016-02-05 | 웰니스인텔리전스(주) | Personalized pregnancy, birth, postnatal care-related information providing service method, apparatus and system |
| CN105787260A (en) * | 2016-02-19 | 2016-07-20 | 北京崔玉涛儿童健康管理中心有限公司 | Intelligent pregnancy method guiding system based on user data |
| CN107358034A (en) * | 2017-06-26 | 2017-11-17 | 怡璟科技（北京）有限公司 | The comprehensive monitoring and controlling method and system of a kind of children's health |
| CN108172294A (en) * | 2017-12-28 | 2018-06-15 | 济南尚健信息技术有限公司 | A kind of children's comprehensive development management application platform based on internet |
| CN108564987A (en) * | 2018-03-06 | 2018-09-21 | 施轶 | The assessment interfering system and method for a kind of autism of children or hypoevolutism |
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