Normalized user self-service health monitoring system

Abstract

The invention relates to the technical field of big data analysis, in particular to a normalized user self-service health monitoring system which comprises an intelligent health series terminal, a comprehensive monitoring and early warning cloud platform and an information interaction user side. The intelligent health series terminal detects and analyzes the detection items of the user to obtain health detection data, and sends the health detection data to the comprehensive monitoring and early warning cloud platform; the comprehensive monitoring and early warning cloud platform performs storage, statistical analysis and health prediction processing on the health detection data received from the intelligent health series terminal to obtain a health assessment result, and transmits the health assessment result to the information interaction user side for display; and the information interaction user side displays the health assessment result received from the comprehensive monitoring and early warning cloud platform, and provides a solution for a user based on the health assessment result. According to the method, operation of professional medical staff is not needed, the tested person can complete measurement in a self-service mode, the screening cost is greatly reduced, and the screening efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and particularly to a normalized user self-help health monitoring system. Background Art

[0002] The health status of children and adolescents has attracted much social attention. Currently, the health problems faced by children and adolescents are becoming increasingly severe, which has become a challenge that cannot be ignored. Among them, myopia, dental caries, obesity, scoliosis, and psychological disorders are the five most common and high-incidence health problems.

[0003] In the face of these health problems, the existing solutions mainly rely on annual school physical examinations for screening. However, this model has many deficiencies. First, manual screening consumes a large amount of human, material, and time costs. Group physical examinations require specific doctors, equipment, and venues, and queuing for physical examinations and waiting for reports take a lot of time. Second, the frequency of school physical examinations is low and the amount of data is small, making it difficult to conduct effective analysis and prevention and control. Physical examinations once or twice a year cannot form a continuous data chain and cannot perform predictive analysis, so it is very difficult to achieve timely prevention and treatment. In addition, there are differences in the specifications of detection equipment and the levels of detection personnel, resulting in errors in detection data and affecting the accuracy of screening. Finally, the screening interval is long, and the intermittent prevention and control effect is poor. Small problems cannot be discovered and intervened in a timely manner, and treatment is often carried out only when the problems are serious.

[0004] Therefore, there is an urgent need for a user health monitoring system that is simple to operate, does not require assistance, and can perform detections anytime and anywhere to improve the deficiencies of the existing screening model and achieve targeted early warning and prevention and control of the health conditions of children and adolescents. Summary of the Invention

[0005] In view of this, the present invention provides a normalized user self-help health monitoring system to solve the problem that the existing screening model cannot achieve targeted early warning and prevention and control of the health conditions of children and adolescents.

[0006] In a first aspect, the present invention provides a normalized user self-help health monitoring system, which includes: intelligent health series terminals, a comprehensive monitoring and early warning cloud platform, and an information interaction user terminal;

[0007] The..., is used to detect and analyze the detection items of a user to obtain health detection data, and send the health detection data to the...; the detection items include at least one of oral health, ophthalmic health, basic index health, body shape and posture and scoliosis health, and mental health status;

[0008] The comprehensive monitoring and early warning cloud platform is used to store, statistically analyze, and perform health prediction processing on the health detection data received from the intelligent health series terminals, obtain a health assessment result, and transmit the health assessment result to the information interaction client for display;

[0009] The information interaction client is used to display the health assessment result received from the comprehensive monitoring and early warning cloud platform and provide a solution for the user based on the health assessment result.

[0010] In an alternative embodiment, the intelligent health series terminals are single terminals or combined terminals. The single terminal includes at least one of an oral health intelligent terminal, an ophthalmic screening intelligent terminal, a basic index detection intelligent terminal, a body shape, posture, and scoliosis analysis intelligent terminal, and a mental health monitoring and intervention intelligent terminal. The combined terminal is a combination of at least two of the single terminals.

[0011] In an alternative embodiment, the intelligent health series terminals include a user login module, a health detection module, and a health comprehensive assessment module;

[0012] The user login module is used to provide multiple user login methods;

[0013] The health detection module is used to detect the user's detection items to obtain health detection data. The health detection data includes at least one of oral health detection data, ophthalmic screening data, basic index detection data, body shape, posture, and scoliosis analysis data, and mental monitoring data;

[0014] The health comprehensive assessment module is used to display the health detection data and the health assessment result received from the comprehensive monitoring and early warning cloud platform.

[0015] In an alternative embodiment, the health detection module includes at least one of an oral health sub-module, an ophthalmic screening sub-module, a basic index detection sub-module, a body shape, posture, and scoliosis analysis sub-module, and a mental monitoring sub-module;

[0016] The oral health sub-module is used to analyze and grade the user's dental health condition, locate the position of the problem tooth, and obtain the oral health detection data;

[0017] The ophthalmic screening sub-module is used to record and measure the user's ophthalmic health condition to obtain the ophthalmic screening data;

[0018] The basic index detection sub-module is used to detect the user's basic human body indexes and evaluate the obesity health condition to obtain the basic index detection data;

[0019] The body shape, posture and scoliosis analysis sub-module is used to perform a three-stage measurement on the user's spinal scoliosis condition and output the body shape, posture and scoliosis analysis data;

[0020] The psychological monitoring sub-module is used to conduct a collaborative assessment of the user's brain, body and mind state to obtain the psychological monitoring data.

[0021] In an optional implementation manner, the comprehensive monitoring and warning cloud platform includes a user information management module, a health information analysis module and a device management module:

[0022] The user information management module is used to input and manage the user information of each user;

[0023] The health information analysis module is used to store, statistically analyze and perform health prediction processing on the health detection data received from the intelligent health series terminals, obtain the health assessment result, and transmit the health assessment result to the information interaction user terminal for display;

[0024] The device management module is used to manage the device information of each device in the intelligent health series terminals.

[0025] In an optional implementation manner, the health information analysis module includes a data storage sub-module, a data processing sub-module and a data transmission sub-module;

[0026] The data storage sub-module is used to record and store the health detection data received from the intelligent health series terminals;

[0027] The data processing sub-module is used to perform statistical analysis and health prediction processing on the health detection data to obtain the health assessment result;

[0028] The data transmission sub-module is used to transmit the health assessment result to the information interaction user terminal for display.

[0029] In an optional implementation manner, the data processing sub-module includes a data analysis unit, a trend calculation unit and a health prediction unit;

[0030] The data analysis unit is used to perform statistical analysis on the health detection data;

[0031] The trend calculation unit is used to perform trend calculation based on the statistical analysis result of the user's health information to obtain a health chart; the health chart includes at least one of a trend chart, a statistical chart and a proportion chart;

[0032] The health prediction unit is configured to perform user personalized analysis and health trend prediction processing based on the health detection data and the statistical analysis result, so as to obtain the health trend data of each user.

[0033] In an alternative embodiment, the information interaction client includes a personal information module, a health information management module, and a personalized service module;

[0034] The personal information module is configured to create and manage the personal profile information of the users of the client.

[0035] The health information management module is configured to display the health detection data, health assessment result, and health trend data of the users of the client.

[0036] The personalized service module is configured to provide personalized solutions for users based on the health detection data, health assessment result, and health trend data.

[0037] In an alternative embodiment, the health information management module includes a detection data display sub-module, a health data development trend sub-module, and a prediction and solution sub-module;

[0038] The detection data display sub-module is configured to display the health detection data, health assessment result, and health trend data of the users of the client.

[0039] The health data development trend sub-module is configured to predict the health development trend of the users of the client.

[0040] The prediction and solution sub-module is configured to provide personalized solutions for users based on the health detection data, health assessment result, and health trend data.

[0041] In an alternative embodiment, the information interaction client further includes an information popularization module and a health consultation module;

[0042] The information popularization module is configured to provide health information and popular science knowledge to the users of the client.

[0043] The health consultation module is configured to provide health consultations to the users of the client.

[0044] The technical solution provided by the present invention may include the following beneficial effects:

[0045] The present invention provides a normalized user self-service health monitoring system, which includes: an intelligent health series terminal, a comprehensive monitoring and early warning cloud platform and an information interaction user terminal; the intelligent health series terminal is used to detect and analyze the user's detection items, obtain health detection data, and send the health detection data to the comprehensive monitoring and early warning cloud platform; the detection items include oral health, ophthalmic health, basic index health, body shape and posture and scoliosis health and mental health status at least one; the comprehensive monitoring and early warning cloud platform is used to store, statistically analyze and health predict the health detection data received from the intelligent health series terminal, obtain health assessment results, and transmit the health assessment results to the information interaction user terminal for display; the information interaction user terminal is used to display the health assessment results received from the information interaction user terminal, and provide solutions for users based on the health assessment results. The present invention does not require professional medical personnel to operate, and the measured person can complete the measurement by himself, and realize identity authentication, oral screening, ophthalmic screening, basic index detection, body shape and posture and scoliosis analysis, data upload and other functions in one stop, greatly reducing screening costs, improving screening efficiency, and providing a feasible and effective means for common health detection items. The detection mode proposed by the present invention has a simple process and non-sensing operation. The whole process can be completed in 1-2 minutes, can be tested at any time, and accumulates long-term data for subsequent big data calculation and prediction. Furthermore, the present invention uses artificial intelligence algorithms and intelligent analysis to realize data collection, storage, management, analysis, and push closed loops, providing users with personalized prediction schemes and solutions. In addition, the present invention proposes a normalized monitoring method and mode, which requires a one-time investment to provide long-term worry-free and effective prevention and control services. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 is a structural schematic diagram of a normalized user self-service health monitoring system according to an embodiment of the present invention;

[0048] Figure 2 is a structural schematic diagram of another normalized user self-service health monitoring system according to an embodiment of the present invention;

[0049] Figure 3 4 is a flowchart of user health monitoring according to an embodiment of the present invention. DETAILED DESCRIPTION

[0050] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0051] According to an embodiment of the present invention, an embodiment of a normalized user self-service health monitoring system is provided. Figure 1 It is a schematic structural diagram of a normalized user self-service health monitoring system according to an embodiment of the present invention. As Figure 1 shown, the system includes: an intelligent health series terminal, a comprehensive monitoring and early warning cloud platform, and an information interaction user terminal;

[0052] The intelligent health series terminal is used to detect and analyze the detection items of a user to obtain health detection data, and send the health detection data to the comprehensive monitoring and early warning cloud platform; the detection items include at least one of oral health, ophthalmic health, basic index health, body shape, posture and spinal scoliosis health, and mental health status;

[0053] The comprehensive monitoring and early warning cloud platform is used to store, statistically analyze and perform health prediction processing on the health detection data received from the intelligent health series terminal to obtain a health assessment result, and transmit the health assessment result to the information interaction user terminal for display;

[0054] The information interaction user terminal is used to display the health assessment result received from the comprehensive monitoring and early warning cloud platform, and provide a solution for the user based on the health assessment result.

[0055] Furthermore, the intelligent health series terminal is the part in the whole system that directly contacts users and collects health data. To conveniently detect multiple detection items of users, the detection items of the intelligent health series terminal can include aspects such as oral health, ophthalmic health, basic index health, body shape, posture and scoliosis health, and mental health. Users can select at least one of the detection items for detection according to their own needs and the functions provided by the system. The intelligent health series terminal can be a multi-functional aggregate, integrating various detection modules, and capable of providing corresponding services for different health detection needs. When users use the intelligent health series terminal, they first need to conduct identity authentication, such as logging in with account passwords, scanning codes to log in, or swiping cards to log in, etc., to ensure the accuracy of user information and the attribution of detection data. Then, users can select corresponding detection items according to their own needs. For example, if they want to check their eyesight, they can start the ophthalmic screening sub-module; if they want to understand their oral health status, they can use the oral health sub-module, etc. During the detection process, the terminal will measure and collect data for the corresponding health items according to the set detection standards and procedures, and obtain the original health detection data. Once the detection is completed, the terminal will locally analyze and generate a health data report for this detection. These health detection data will be sent to the comprehensive monitoring and early warning cloud platform through communication methods such as the network for further in-depth analysis and processing.

[0056] As the core processing part of the system, the comprehensive monitoring and early warning cloud platform undertakes important tasks such as storing, statistically analyzing, and health predicting the health detection data received from intelligent health series terminals. It is equivalent to a data processing center that receives a large amount of detection data from different terminals and effectively manages and analyzes these data. When the comprehensive monitoring and early warning cloud platform receives the health detection data sent by the intelligent health series terminals, it will first store these data in the corresponding database for subsequent invocation and processing. These stored data form a user's health data warehouse, providing a basis for long-term health monitoring and trend analysis. Then, by applying a series of statistical analysis methods, the stored data is processed. For example, the eye health indicators of a user over a period of time are statistically calculated, or the oral health indicators of a user are analyzed over a long term to determine whether there is a trend of deterioration or improvement. Through these analyses, the health information hidden behind the data can be mined. Based on the statistical analysis, the comprehensive monitoring and early warning cloud platform also conducts health prediction to predict the user's future health status. For example, according to the user's long-term body posture data and change trends, it predicts whether problems such as scoliosis will occur; or according to the change in myopia degree, it predicts the development speed and degree of myopia. Finally, a health assessment result is formed. The comprehensive monitoring and early warning cloud platform transmits the processed and analyzed health assessment results to the information interaction user terminal so that users can view the assessment results on their own client sides, realizing data sharing and multi-terminal display.

[0057] The information interaction user terminal provides a convenient information viewing and operation interface for users, enabling them to obtain the health assessment results sent by the comprehensive monitoring and early warning cloud platform and providing personalized solutions for users. The information interaction user terminal is the main window for users to interact with the entire health monitoring system, aiming to enable users to clearly understand their own health status and obtain corresponding help and guidance. After receiving the health assessment results from the comprehensive monitoring and early warning cloud platform, the information interaction user terminal will display these results to users in an intuitive way, such as through charts, text descriptions, or health reports, etc., enabling users to easily understand their health status, including the assessment of health conditions, possible risks, and future trends, etc. At the same time, the user terminal will provide corresponding solutions for users according to these health assessment results. For example, if a user is detected to have a risk of obesity, the user terminal may provide customized diet and exercise suggestions for the user according to the relevant data in the assessment results; if a user has a myopia trend, it may recommend some methods and precautions for protecting eyesight for the user. These solutions are generated according to the specific health assessment results of users, are targeted and personalized, aiming to help users improve their health status and achieve the goal of health management.

[0058] In an alternative embodiment, the intelligent health series terminal is a single terminal or a combined terminal. The single terminal includes at least one of an oral health intelligent terminal, an ophthalmic screening sub-module, a basic index detection sub-module, a body shape, posture and scoliosis analysis sub-module, and a mental health monitoring and intervention intelligent terminal. The combined terminal is a combination of at least two of the single terminals.

[0059] Furthermore, according to the different requirements of different scenarios in this embodiment, a single intelligent terminal, any combination of multiple terminals, or an integrated terminal device formed by combination can be used. Both the single terminal and the combined terminal include three modules: a user login module, a health detection module, and a health comprehensive assessment module.

[0060] In an alternative embodiment, please refer to Figure 2 the structural schematic diagram of another normalized user self-help health monitoring system shown in the figure. The intelligent health series terminal includes a user login module, a health detection module, and a health comprehensive assessment module;

[0061] The user login module is used to provide multiple user login methods;

[0062] The health detection module is used to detect the detection items of the user to obtain health detection data. The health detection data includes at least one of oral health detection data, myopia screening data, basic detection data, body posture analysis data, and psychological monitoring data;

[0063] The health comprehensive assessment module is used to analyze the health detection data and display the health detection report.

[0064] Furthermore, the user login module of this embodiment can support three login methods: scanning code login, ID number login, and card swiping login. The health detection module can include five major modules: an oral health sub-module, an ophthalmic screening sub-module, a basic index detection sub-module, a body shape, posture and scoliosis analysis sub-module, and a psychological monitoring sub-module. The detection data of the user will be displayed on the intelligent health series terminal, and the data will be uploaded to the comprehensive monitoring and early warning cloud platform and the information interaction user terminal at the same time. The user can view the current detection report on the interface of the current detection terminal, and can also see the update of the detection data on the user terminal.

[0065] In an alternative embodiment, the health detection module includes at least one of an oral health sub-module, an ophthalmic screening sub-module, a basic index detection sub-module, a body shape, posture and scoliosis analysis sub-module, and a psychological monitoring sub-module;

[0066] This oral health sub-module is used to analyze and evaluate the dental health status of users, locate the positions of problem teeth, and obtain the oral health detection data; the oral health detection data includes, but is not limited to, caries data, periodontal disease data, and dental plaque health data.

[0067] This myopia screening sub-module is used to record and measure the ophthalmic health status of users, and obtain the ophthalmic screening data; the ophthalmic screening data includes, but is not limited to, diopter (spherical lens, cylindrical lens, axis), corneal curvature, corneal astigmatism, axial length, corneal thickness, axial ratio, pupil distance and other data.

[0068] This basic index detection sub-module is used to detect the basic human body indexes of users and evaluate the obesity health status, and obtain the basic index detection data; the basic index detection data includes, but is not limited to, body mass index BMI, blood pressure, body fat rate, body muscle rate, pulse rate, height and weight, intracellular and extracellular water volume, skeletal muscle mass and other data.

[0069] This body shape, posture and scoliosis analysis sub-module is used to perform a three-stage measurement on the scoliosis condition of the human spine of users, and output the body shape, posture and scoliosis analysis data; the body shape, posture and scoliosis analysis data includes, but is not limited to, thoracic scoliosis angle, thoracolumbar scoliosis angle, lumbar scoliosis angle and human posture evaluation data.

[0070] This psychological monitoring sub-module is used to jointly evaluate the brain, body and mind state of users, and obtain the psychological monitoring data. The psychological monitoring data includes, but is not limited to, mental health status and other data.

[0071] Furthermore, the oral health sub-module can analyze the caries, periodontal diseases and dental plaque health conditions of users, accurately locate the positions of problem teeth, and evaluate the health status.

[0072] The ophthalmic screening sub-module is used to record and measure the ophthalmic health data of users, and the specific indicators include, but are not limited to, diopter (spherical lens, cylindrical lens, axis), corneal curvature, corneal astigmatism, axial length, corneal thickness, axial ratio, pupil distance and other data.

[0073] The basic index detection sub-module is mainly used to detect the basic human body indexes and evaluate the obesity health status. The system records and measures the body index data of users, and the specific indicators include, but are not limited to, body mass index BMI, blood pressure, body fat rate, body muscle rate, pulse rate, height and weight, intracellular and extracellular water volume, bone rate and other data.

[0074] The body shape, posture and scoliosis analysis sub-module is used to perform three-stage precise measurement on the human spinal scoliosis problem, and output the scoliosis angles of the thoracic segment, thoracolumbar segment, and lumbar segment; human posture evaluation data such as uneven shoulders, X / O-shaped legs, cervical lordosis, cervical scoliosis, pelvic tilt, pelvic obliquity, round shoulders, chest concavity, and kyphosis.

[0075] The psychological monitoring sub-module is used to realize the collaborative evaluation of the brain, body and mind state in the real scene by means of voice / video dialogue, scale / assessment, actions, expressions and other analysis methods, using multi-modal artificial intelligence technology.

[0076] In an optional implementation manner, the comprehensive monitoring and early warning cloud platform includes a user information management module, a health information analysis module, and a device management module:

[0077] The user information management module is used to input and manage the user information of each user;

[0078] The health information analysis module is used to store, statistically analyze and perform health prediction processing on the health detection data received from the intelligent health series terminals, obtain the health assessment result, and transmit the health assessment result to the information interaction user terminal for display;

[0079] The device management module is used to manage the device information of each device in it.

[0080] Furthermore, the user information management module is used to input and manage user information, which is convenient for establishing personal files for each user. The specific information includes but is not limited to user name, gender, date of birth, school class, ID number, face information, health status, user affiliation, etc. The health information analysis module receives the health detection data from, and stores it. These data include the detection results of oral health, ophthalmic health, basic index health, body shape, posture and spinal scoliosis health, and mental state. On the basis of storing the data, the health information analysis module will perform statistical analysis on the data to form a comprehensive health file. This helps the system to understand the overall health status and change trend of users. Based on the stored and statistically analyzed data, the health information analysis module performs health prediction processing, evaluates the health status of users, predicts potential health risks, and generates health assessment results. These results include health scores, risk levels, recommended measures, etc. The health assessment results will be transmitted by the health information analysis module to the information interaction user terminal so that users can view and understand their own health status at any time, which helps users take preventive measures in time and improve their health status. The device management module is used to record, store and manage the device information of each device, and the device information includes but is not limited to device basic information, user detection data, maintenance information, etc.

[0081] In an alternative embodiment, the health information analysis module includes a data storage sub-module, a data processing sub-module, and a data transmission sub-module;

[0082] The data storage sub-module is used to record and store the health detection data received from the intelligent health series terminals;

[0083] The data processing sub-module is used to perform statistical analysis and health prediction processing on the health detection data to obtain the health assessment result;

[0084] The data transmission sub-module is used to transmit the health assessment result to the information interaction client for display.

[0085] Furthermore, the data storage sub-module is used to record and store health detection data, including but not limited to oral health-related data, ophthalmic health-related data, obesity-related data, body composition-related data, scoliosis-related data, and psychological monitoring-related data. The data transmission sub-module transmits the health assessment result to the health information management module of the information interaction client for display.

[0086] In an alternative embodiment, the data processing sub-module includes a data analysis unit, a trend calculation unit, and a health prediction unit;

[0087] The data analysis unit is used to perform statistical analysis on the health detection data;

[0088] The trend calculation unit is used to perform trend calculation based on the statistical analysis result of the user's health information to obtain a health chart; the health chart includes at least one of a trend chart, a statistical chart, and a proportion chart;

[0089] The health prediction unit is used to perform personalized analysis and health trend prediction processing on the user based on the health detection data and the statistical analysis result to obtain the health trend data of each user.

[0090] Furthermore, the trend calculation unit performs trend calculation based on the long-term detection data accumulated by each user to form charts such as a health trend chart, a statistical chart, and a proportion chart for a single or overall project. The health prediction unit performs personalized analysis on the existing health monitoring data and predicts the future health trend, and then gives a personalized intervention plan.

[0091] In an alternative embodiment, the information interaction client includes a personal information module, a health information management module, and a personalized service module;

[0092] The personal information module is used to create and manage the personal profile information of the users of the client;

[0093] The health information management module is used to display the health detection data, health assessment results, and health trend data of the user of the client; the health information management module also transmits the health detection data, health assessment results, and health trend data of the user of the client to the personalized service module;

[0094] The personalized service module is used to provide a personalized solution for the user based on the health detection data, the health assessment results, and the health trend data.

[0095] Furthermore, the personal information module enables the user to create a personal profile for themselves or their family on the client. After creation, a unique identity recognition QR code will be obtained for device login or profile binding. The health information management module enables the user to view the detection data of any day within a year, and these accumulated data will form a trend graph for display to the user, allowing the user to discover problems based on the trend; the health information management module will also calculate and predict these detection data, and provide the predicted development trend and countermeasures for the user's reference. The personalized service module is used to carry out a series of services for the countermeasures given in the information management section, including but not limited to personalized early warning reports, personalized solutions, customized health assistance series products, full-cycle private health management services, and other health resources / channels.

[0096] In an optional implementation manner, the health information management module includes a detection data display sub-module, a health data development trend sub-module, and a prediction and solution sub-module;

[0097] The detection data display sub-module is used to display the health detection data, the health assessment results, and the health trend data of the user of the client;

[0098] The health data development trend sub-module is used to predict the health development trend of the user of the client;

[0099] The prediction and solution sub-module is used to provide a personalized solution for the user based on the health detection data, the health assessment results, and the health trend data.

[0100] Furthermore, the detection data display sub-module is a key part of the health information management module that directly presents data to users. It integrates important health information from different sources and presents it to end-users in a clear and intuitive way. For health detection data, it presents detailed data such as the degree of tooth decay and periodontal health index values in oral examinations, refractive power and eye axis length in ophthalmic screenings, various physical indicators such as height, weight, blood pressure, and body fat percentage in basic examinations, postural parameters such as scoliosis angle and uneven shoulders in postural analysis, and relevant data such as emotional state and stress level in psychological monitoring. At the same time, it also displays the health assessment results generated by the comprehensive monitoring and early warning cloud platform, such as the comprehensive ratings (good, average, requiring attention, etc.) of various health indicators and potential health risk warnings. In addition, it also displays health trend data, such as presenting the change curve of weight in the past few months and the fluctuation of vision over a period of time in the form of charts, ensuring that users can obtain and understand this information.

[0101] The health data development trend sub-module uses data analysis techniques and related algorithms to predict the health development trend of users. First, it collects and organizes the user's historical health detection data, health assessment results, and existing health trend data, and uses statistical methods and prediction models based on machine learning to mine the potential laws and trends in the data. For example, by analyzing the user's past multiple vision detection data and eye usage habits information, it predicts the possible change direction and degree of vision in the future period; based on long-term body composition data and lifestyle information, it estimates the development trend of obesity-related indicators.

[0102] The prediction and solution sub-module, based on the health detection data, health assessment results, and health development trend prediction results, combines professional medical knowledge and health management experience to customize personalized solutions for users. If it is predicted that the user's myopia degree has a further deepening trend, it can recommend that the user adjust their eye usage habits, such as increasing outdoor activity time, taking regular breaks for the eyes, and adopting the correct reading and writing postures. For users at risk of obesity, a detailed diet plan can be formulated, including reasonable calorie intake control, nutritional collocation suggestions, and personalized exercise plans. After generating the solution, the prediction and solution sub-module continuously tracks the changes in the user's health data and adjusts and optimizes the plan in a timely manner according to the new data feedback to ensure that it always meets the user's actual health needs.

[0103] In an alternative implementation, the information interaction end-user also includes an information popularization module and a health consultation module;

[0104] The information popularization module is used to provide health information and popular science knowledge to the end-users of this user terminal;

[0105] The health consultation module is used to provide health consultations to the end-users of this user terminal.

[0106] Furthermore, for some professional terms, it is not easy for users to understand, and it is also difficult for users to fully grasp the impact of each piece of data on health. Therefore, in this embodiment, the information popularization module provides popularization of relevant knowledge to users to help users attach importance to health problems and cultivate health awareness.

[0107] During the process of users using terminal products or mobile phone products, various usage problems may be encountered, and there may be certain concerns about the health data on the user side. For this reason, in this embodiment, the health consultation module provides a dedicated question window for users, which improves the user experience on the one hand and ensures the service closed-loop of the product on the other hand.

[0108] First of all, in this embodiment, health detection is carried out through intelligent health series terminals, which can be placed in various daily scenarios, such as public places like schools and communities or at home. The detection process is fast and can be completed in 1-2 minutes. The data detected each time will be uploaded as normal monitoring data. The uploaded data enters the comprehensive monitoring and early warning cloud platform. In this platform, a normalized data chain will be formed, that is, a continuous data chain is formed through the detection data accumulated over a long time. Then, using AI algorithms and big data calculations, these normalized data chains are analyzed to obtain the health development trend and further generate a prediction plan. The comprehensive monitoring and early warning cloud platform accurately pushes information such as the analyzed health development trend and prediction plan to the information interaction user terminal. The client user can view the detection data and the normalized data chain in real time, and combine the received development trend and prediction plan and other information to take corresponding measures in a timely manner to achieve early prevention and control. Among them, the intelligent health series terminal is the starting point of the entire system, responsible for collecting the user's health detection data and uploading it to the comprehensive monitoring and early warning cloud platform. The comprehensive monitoring and early warning cloud platform is the core processing part of the system, undertaking important tasks such as data storage, analysis and prediction. It integrates the received normalized monitoring data to form a normalized data chain, and then uses AI algorithms and big data technologies to calculate the health development trend and prediction plan. The information interaction user terminal is the interface for users to interact with the system. Users can view the detection data and the normalized data chain in real time here, receive information such as the health development trend and prediction plan from the comprehensive data monitoring platform, and take measures in a timely manner according to this information to achieve effective management and prevention and control of health. Through the collaborative work of the intelligent health series terminal, the comprehensive monitoring and early warning cloud platform and the information interaction user terminal in this embodiment, normalized health monitoring and personalized health management are realized, which helps to detect health problems in a timely manner and take preventive measures in advance, improving the effect and quality of health management.

[0109] This embodiment proposes a normalized monitoring method and mode. The required cost is invested once, and long-term worry-free and effective prevention and control services can be provided. The following is an explanation of the content disclosed in the above embodiment through simple examples:

[0110] Suppose the user group is mainly children and adolescents. Set up health monitoring points in the daily life scenarios of users (such as schools, communities and other public places). Users can complete the detection during the breaks between classes, after school, when going home, or during playtime. Please refer to Figure 3 the schematic flow diagram of user health monitoring shown, and the detection process is as follows:

[0111] 1. The user logs in with the QR code on the mobile phone or ID card / student card, etc.

[0112] 2. Immediately after logging in, the detection begins. First, enter the oral cavity detection module. The user exposes the teeth and aligns them with the detection port according to the prompts, and the detection can be completed with two steps.

[0113] 3. Next, enter the ophthalmic screening. The user only needs to place the chin on the tray according to the prompts, keep the eyes wide open and still, and the detection can be completed in more than ten seconds and enter the next basic detection.

[0114] 4. The user needs to stand still on the weighing scale to complete the measurement of height and weight. Next, hold the electrodes tightly with both hands to complete the measurement of body composition.

[0115] 5. Then enter the body posture analysis. The user stands at the footprint according to the prompts and takes three photos of the front, side, and back to complete the detection and generate a report.

[0116] 6. The report can be directly viewed on the interactive interface of the terminal product, or viewed on the mobile phone. The mobile phone will form a trend chart for the personal detection data chain and provide prediction results and solutions.

[0117] The entire detection process can be completed in about 1 to 2 minutes.

[0118] In summary, the present embodiment provides a normalized user self-service health monitoring system, which includes: a smart health series terminal, a comprehensive monitoring and early warning cloud platform, and an information interaction user terminal; the smart health series terminal is used to detect and analyze the user's test items, obtain health test data, and send the health test data to the comprehensive monitoring and early warning cloud platform; the test items include oral health, ophthalmic health, basic indicator health, body shape and posture, scoliosis health, and mental health status. At least one of the health status; the comprehensive monitoring and early warning cloud platform is used to store, statistically analyze and perform health prediction processing on the health test data received from the smart health series terminals, obtain health assessment results, and transmit the health assessment results to the information interaction user terminal for display; the information interaction user terminal is used to display the health assessment results received from the comprehensive monitoring and early warning cloud platform, and provide solutions for users based on the health assessment results. This embodiment does not require the operation of professional medical personnel. The person being measured can complete the measurement by himself, and realize identity authentication, oral screening, ophthalmological screening, basic indicator detection, body shape and posture and scoliosis analysis, data upload and other functions in one stop, which greatly reduces the screening cost, improves the screening efficiency, and provides a feasible and effective means for common health detection items. The detection mode proposed in this embodiment has a simple process and non-sensing operation. The whole process can be completed in 1-2 minutes, and it can be measured at any time, and long-term data is accumulated for subsequent big data calculation and prediction. Furthermore, this embodiment uses artificial intelligence algorithms and intelligent analysis to realize data collection, storage, management, analysis, and push closed loops, and provide users with personalized prediction schemes and solutions. In addition, this embodiment proposes a normalized monitoring method and mode, which requires a one-time investment in cost and can provide long-term worry-free and effective prevention and control services.

[0119] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the defined scope.

Claims

1. A normalized user self-service health monitoring system, characterized in that: The system includes: intelligent health series terminals, comprehensive monitoring and early warning cloud platform and information interaction user terminal; The smart health series terminal is used to detect and analyze the user's test items, obtain health test data, and send the health test data to the comprehensive monitoring and early warning cloud platform; the test items include at least one of oral health, ophthalmic health, basic health indicators, body shape and posture, scoliosis health, and mental health status; The comprehensive monitoring and early warning cloud platform is used to store, statistically analyze and perform health prediction processing on the health detection data received from the smart health series terminals, obtain health assessment results, and transmit the health assessment results to the information interaction user terminal for display; The information interaction user terminal is used to display the health assessment results received from the comprehensive monitoring and early warning cloud platform, and provide solutions for users based on the health assessment results.

2. The system according to claim 1, characterized in that The smart health series terminals are single terminals or combined terminals. The single terminal includes at least one of an oral health smart terminal, an ophthalmology screening smart terminal, a basic indicator detection smart terminal, a body shape and scoliosis analysis smart terminal, and a mental health monitoring and intervention smart terminal. The combined terminal is a combination of at least two of the single terminals.

3. The system according to claim 1, characterized in that The smart health series terminal includes a user login module, a health detection module and a health comprehensive assessment module; The user login module is used to provide multiple user login methods; The health detection module is used to detect the detection items of the user and obtain health detection data; the health detection data includes at least one of oral health detection data, ophthalmological screening data, basic index detection data, body shape and posture and scoliosis analysis data and psychological monitoring data; The comprehensive health assessment module is used to display the health detection data and the health assessment results received from the comprehensive monitoring and early warning cloud platform.

4. The system according to claim 3, characterized in that The health detection module includes at least one of an oral health submodule, an ophthalmology screening submodule, a basic index detection submodule, a body shape and scoliosis analysis submodule, and a psychological monitoring submodule; The oral health submodule is used to analyze and grade the user's dental health, locate the position of problematic teeth, and obtain the oral health test data; The ophthalmological screening submodule is used to record and measure the user's ophthalmic health condition to obtain the ophthalmic screening data; The basic index detection submodule is used to detect the user's basic human body index and evaluate the obesity health status to obtain the basic index detection data; The body shape, posture and scoliosis analysis submodule is used to perform three-stage measurement of the user's human scoliosis and output the body shape, posture and scoliosis analysis data; The psychological monitoring submodule is used to collaboratively evaluate the user's brain, mind and body state to obtain the psychological monitoring data.

5. The system according to claim 1, characterized in that The comprehensive monitoring and early warning cloud platform includes a user information management module, a health information analysis module and a device management module: The user information management module is used to input and manage the user information of each user; The health information analysis module is used to store, statistically analyze and perform health prediction processing on the health detection data received from the smart health series terminal, obtain the health assessment result, and transmit the health assessment result to the information interaction user terminal for display; The device management module is used to manage the device information of each device in the smart health series terminal.

6. The system according to claim 5, characterized in that The health information analysis module includes a data storage submodule, a data processing submodule and a data transmission submodule; The data storage submodule is used to record and store the health detection data received from the smart health series terminal; The data processing submodule is used to perform statistical analysis and health prediction processing on the health detection data to obtain the health assessment result; The data transmission submodule is used to transmit the health assessment result to the information interaction user terminal for display.

7. The system according to claim 6, characterized in that The data processing submodule includes a data analysis unit, a trend estimation unit and a health prediction unit; The data analysis unit is used to perform statistical analysis on the health detection data; The trend calculation unit is used to perform trend calculation based on the statistical analysis results of the user's health information to obtain a health chart; The health chart includes at least one of a trend chart, a statistical chart, and a proportion chart; The health prediction unit is used to perform user personalized analysis and health trend prediction processing based on the health detection data and the statistical analysis results to obtain health trend data of each user.

8. The system according to any one of claims 1 to 7, characterized in that: The information interaction user terminal includes a personal information module, a health information management module and a personalized service module; The personal information module is used to create and manage the personal profile information of the user end user; The health information management module is used to display the health detection data, health assessment results and health trend data of the user at the user end; The personalized service module is used to provide personalized solutions for users based on the health detection data, the health assessment results and the health trend data.

9. The system according to claim 8, characterized in that The health information management module includes a detection data display submodule, a health data development trend submodule, and a prediction and solution submodule; The detection data display submodule is used to display the health detection data, the health assessment results and the health trend data of the user at the user end; The health data development trend submodule is used to predict the health development trend of the user at the user end; The prediction and solution submodule is used to provide personalized solutions for users based on the health detection data, the health assessment results and the health trend data.

10. The system according to claim 8, characterized in that The information interaction user terminal also includes an information popularization module and a health consultation module; The information and science module is used to provide health information and science knowledge to the user end user; The health consultation module is used to provide health consultation to the user end user.

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