CN114496146A - Digital twin health management system - Google Patents
Digital twin health management system Download PDFInfo
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- CN114496146A CN114496146A CN202210117755.4A CN202210117755A CN114496146A CN 114496146 A CN114496146 A CN 114496146A CN 202210117755 A CN202210117755 A CN 202210117755A CN 114496146 A CN114496146 A CN 114496146A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention discloses a digital twin health management system, which comprises a monitoring management system, a data processing system and a data processing system, wherein the monitoring management system is used for monitoring various physical data of a user, analyzing the various physical data and determining the health condition of the user; the twin management system is used for mapping the user health data of the monitoring management system and uploading the user health data, and the health management system is suitable for health management, can monitor various body data of the user in real time through the monitoring management system, can analyze the various body data to determine the health condition of the user, and simultaneously informs the user and informs the reason and the solution when the health condition of the user is abnormal, thereby achieving the effect of protecting the user in time.
Description
Technical Field
The invention belongs to the technical field of health management, and particularly relates to a digital twin health management system.
Background
With the synchronous development of the Internet of things technology and medical equipment, the high-quality development of intelligent medical work is promoted, the intelligent medical treatment starts from the health requirements of users, and the technical innovation and the product promotion are continuously carried out with the user experience as the highest target;
the health management system is a system for health management of users;
at present, a system for monitoring body physiological data of a user in real time is lacked, so that data information of the user cannot be mastered in real time, and when an accident occurs, the user cannot know how to solve the problem currently, so that the life safety of the user is easily influenced.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a digital twin health management system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a digital twin health management system comprises a monitoring management system, a data acquisition system and a data processing system, wherein the monitoring management system is used for monitoring various physical data of a user, analyzing the various physical data and determining the health condition of the user; and
and the twin management system is used for mapping the user health data of the monitoring management system and uploading the user health data.
In one possible implementation manner, the monitoring management system includes an acquisition module, a storage module, an analysis module, and a guidance display module, where:
the acquisition module is used for acquiring real-time physiological data values of a user;
the storage module is used for storing the physiological data health value, the physiological data abnormal reason and the abnormal solving method;
the analysis module is used for analyzing the acquired real-time physiological data of the user and judging whether the data are normal or not;
the guidance display module is used for displaying time, abnormal values, abnormal reasons and solutions when the analysis module analyzes that the real-time physiological data of the user is abnormal.
In one possible implementation manner, the physiological data health value stored by the storage module is displayed by using an interval, and the interval indicates that the physiological data health value fluctuation in the interval is normal.
In one possible implementation manner, the physiological data abnormal value includes a maximum value larger than a maximum interval value and a minimum value smaller than a minimum interval value, the physiological data abnormal cause and abnormal solution have a corresponding relationship, and the physiological data abnormal cause and abnormal solution is used for explaining the physiological data abnormal value.
In one possible implementation, the twin management system includes a cloud storage module and a history query module, wherein:
the cloud storage module is used for mapping and storing the user health information monitored and analyzed by the monitoring management system;
the history query module is used for providing a query port for a user to query the historical health data information of the user.
In one possible implementation, the user health information includes: personal information of the user, occurrence time when the user health data is abnormal, an abnormal value when the user health data is abnormal, an abnormal cause when the user health data is abnormal, a solution method when the user health data is abnormal, and solution time when the user health data is abnormal.
In a possible implementation manner, the twin management system further includes a statistics module, the statistics module is configured to make a graph of the health data variation value of the user at a certain period, and a port for querying the graph is arranged in the history querying module.
In one possible implementation, the period used by the statistics module to make the graph includes, but is not limited to, one of: the year, month, and day periods.
In a possible implementation manner, the specific steps of the analysis module are as follows:
receiving the real-time physiological data value of the user acquired by the acquisition module;
and matching the real-time physiological data value of the user with the physiological data health value and the physiological data abnormal value stored in the storage module, judging the health of the user when the real-time physiological data value of the user falls within a physiological data health value interval, judging the health of the user to be abnormal when the real-time physiological data value of the user falls within a physiological data abnormal value interval, and providing an abnormal reason and a solution corresponding to the abnormal value when the health of the user is abnormal.
In a possible implementation manner, the storage module further includes an importing unit, and the importing unit is configured to enter preset information into the storage module, where the preset information includes a physiological data health value, a physiological data abnormal reason, and an abnormality solving method.
In the invention, various body data of the user can be monitored in real time through the monitoring management system, and can be analyzed to determine the health condition of the user, and meanwhile, when the health condition of the user is abnormal, the user is informed and reasons and solutions are informed, so that the effect of protecting the user in time is achieved, and the life safety of the user is ensured;
according to the twin management system, the user health data of the monitoring management system can be mapped and uploaded to a user for inquiring history through the twin management system, and the twin management system further comprises a statistical module, wherein the variation value of the user health data can be made into a curve graph in a certain period through the statistical module, so that the user can visually know the variation of the body health data of the user in a time period, and the active adjustment of the living habits of the user is facilitated.
Drawings
FIG. 1 is an overall flow diagram of the present invention.
Detailed Description
The following further describes a specific embodiment of the digital twin health management system according to the present invention with reference to fig. 1. The digital twin health management system of the present invention is not limited to the description of the following embodiments.
Example 1:
the embodiment provides a digital twin health management system, as shown in fig. 1, which includes a monitoring management system for monitoring and analyzing various physical data of a user to determine a health condition of the user; and
and the twin management system is used for mapping the user health data of the monitoring management system and uploading the user health data.
Example 2:
the embodiment provides a digital twin health management system, as shown in fig. 1, which includes a monitoring management system for monitoring and analyzing various physical data of a user to determine a health condition of the user; and the twin management system is used for mapping the user health data of the monitoring management system and uploading the user health data.
The monitoring management system comprises an acquisition module, a storage module, an analysis module and a guidance display module, wherein:
the acquisition module is used for acquiring real-time physiological data values of the user;
the storage module is used for storing the physiological data health value, the physiological data abnormal reason and the abnormal solving method;
the analysis module is used for analyzing the acquired real-time physiological data of the user and judging whether the data are normal or not;
and the guidance display module is used for displaying the time, the abnormal value, the abnormal reason and the solution when the analysis module analyzes that the real-time physiological data of the user is abnormal.
The physiological data health value stored in the storage module is displayed by adopting an interval, and the interval indicates that the physiological data health value fluctuation in the interval is normal.
The physiological data abnormal value comprises a maximum value larger than the maximum interval value and a minimum value smaller than the minimum interval value, the physiological data abnormal reason and the abnormal solving method have corresponding relation, and the physiological data abnormal reason and the abnormal solving method are used for explaining the physiological data abnormal value.
The specific steps of the analysis module are as follows:
receiving a real-time physiological data value of a user, which is acquired by an acquisition module;
the real-time physiological data value of the user is matched with the physiological data health value and the physiological data abnormal value stored in the storage module, when the real-time physiological data value of the user falls in the physiological data health value interval, the health of the user is judged, when the real-time physiological data value of the user falls in the physiological data abnormal value interval, the health of the user is judged to be abnormal, and when the health of the user is abnormal, an abnormal reason and a solution corresponding to the abnormal value are provided.
The storage module further comprises an importing unit, wherein the importing unit is used for inputting preset information into the storage module, and the preset information comprises a physiological data health value, a physiological data abnormal reason and an abnormal solving method.
Example 3:
the embodiment provides a digital twin health management system, as shown in fig. 1, which includes a monitoring management system for monitoring and analyzing various physical data of a user to determine a health condition of the user; and
and the twin management system is used for mapping the user health data of the monitoring management system and uploading the user health data.
The monitoring management system comprises an acquisition module, a storage module, an analysis module and a guidance display module, wherein:
the acquisition module is used for acquiring real-time physiological data values of the user;
the storage module is used for storing the physiological data health value, the physiological data abnormal reason and the abnormal solving method;
the analysis module is used for analyzing the acquired real-time physiological data of the user and judging whether the data are normal or not;
and the guidance display module is used for displaying the time, the abnormal value, the abnormal reason and the solution when the analysis module analyzes that the real-time physiological data of the user is abnormal.
The physiological data health value stored in the storage module is displayed by adopting an interval, and the interval indicates that the physiological data health value fluctuation in the interval is normal.
The physiological data abnormal value comprises a maximum value larger than the maximum interval value and a minimum value smaller than the minimum interval value, the physiological data abnormal reason and the abnormal solving method have corresponding relation, and the physiological data abnormal reason and the abnormal solving method are used for explaining the physiological data abnormal value.
The specific steps of the analysis module are as follows:
receiving a real-time physiological data value of a user, which is acquired by an acquisition module;
the real-time physiological data value of the user is matched with the physiological data health value and the physiological data abnormal value stored in the storage module, when the real-time physiological data value of the user falls in the physiological data health value interval, the health of the user is judged, when the real-time physiological data value of the user falls in the physiological data abnormal value interval, the health of the user is judged to be abnormal, and when the health of the user is abnormal, an abnormal reason and a solution corresponding to the abnormal value are provided.
The storage module further comprises an importing unit, wherein the importing unit is used for inputting preset information into the storage module, and the preset information comprises a physiological data health value, a physiological data abnormal reason and an abnormal solving method.
The twin management system comprises a cloud storage module and a history query module, wherein:
the cloud storage module is used for mapping and storing the user health information monitored and analyzed by the monitoring management system;
the historical query module is used for providing a query port for a user to query the historical health data information of the user.
The user health information includes: personal information of the user, occurrence time when the user health data is abnormal, an abnormal value when the user health data is abnormal, an abnormal cause when the user health data is abnormal, a solution method when the user health data is abnormal, and solution time when the user health data is abnormal.
The twin management system further comprises a statistic module, the statistic module is used for making the health data change value of the user into a curve graph at a certain period, and a port for inquiring the curve graph is arranged in the history inquiry module.
The period used by the statistics module to make the graph includes, but is not limited to, one of the following: the year, month, and day periods.
In combination with the contents of real-time example 1-example 3, it can be seen that: the monitoring management system can monitor various body data of the user in real time, analyze the various body data, determine the health condition of the user, and inform the user and inform the reason and the solution when the health condition of the user is abnormal, so that the effect of protecting the user in time is achieved;
the twin management system can map the user health data of the monitoring management system and upload the user health data to the user for inquiring history, and the twin management system also comprises a statistical module which can make the change value of the user health data into a curve chart in a certain period, so that the user can intuitively know the change of the body health data of the user in a time period, and the twin management system is beneficial to the user to actively adjust the living habits of the user.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A digital twin health management system, characterized by: the method comprises the following steps:
the monitoring management system is used for monitoring various body data of the user, analyzing the various body data and determining the health condition of the user; and
and the twin management system is used for mapping the user health data of the monitoring management system and uploading the user health data.
2. A digital twin health management system as defined in claim 1 wherein: the monitoring management system comprises an acquisition module, a storage module, an analysis module and a guidance display module, wherein:
the acquisition module is used for acquiring real-time physiological data values of a user;
the storage module is used for storing the physiological data health value, the physiological data abnormal reason and the abnormal solving method;
the analysis module is used for analyzing the collected real-time physiological data of the user and judging whether the real-time physiological data is normal or not;
the guidance display module is used for displaying time, abnormal values, abnormal reasons and solutions when the analysis module analyzes that the real-time physiological data of the user is abnormal.
3. A digital twin health management system as defined in claim 2 wherein: the physiological data health value stored by the storage module is displayed by adopting an interval, and the interval indicates that the physiological data health value fluctuation in the interval is normal.
4. A digital twin health management system as defined in claim 3 wherein: the physiological data abnormal value comprises a maximum value larger than the maximum interval value and a minimum value smaller than the minimum interval value, the physiological data abnormal reason and abnormal solution have a corresponding relation, and the physiological data abnormal reason and abnormal solution is used for explaining the physiological data abnormal value.
5. A digital twin health management system as defined in claim 1 wherein: the twin management system comprises a cloud storage module and a history query module, wherein:
the cloud storage module is used for mapping and storing the user health information monitored and analyzed by the monitoring management system;
the history query module is used for providing a query port for a user to query the historical health data information of the user.
6. A digital twin health management system as defined in claim 5 wherein: the user health information includes: personal information of the user, occurrence time when the user health data is abnormal, an abnormal value when the user health data is abnormal, an abnormal cause when the user health data is abnormal, a solution method when the user health data is abnormal, and solution time when the user health data is abnormal.
7. A digital twin health management system as defined in claim 6 wherein: the twin management system further comprises a statistic module, wherein the statistic module is used for making a health data change value of a user into a curve graph at a certain period, and a port for inquiring the curve graph is arranged in the history inquiry module.
8. A digital twin health management system as defined in claim 7 wherein: the period for the statistical module to graph includes, but is not limited to, one of the following: the year, month, and day periods.
9. A digital twin health management system as defined in claim 2 wherein: the analysis module comprises the following specific steps:
receiving the real-time physiological data value of the user acquired by the acquisition module;
and matching the real-time physiological data value of the user with the physiological data health value and the physiological data abnormal value stored in the storage module, judging the health of the user when the real-time physiological data value of the user falls within a physiological data health value interval, judging the health of the user to be abnormal when the real-time physiological data value of the user falls within a physiological data abnormal value interval, and providing an abnormal reason and a solution corresponding to the abnormal value when the health of the user is abnormal.
10. A digital twin health management system as defined in claim 2 wherein: the storage module further comprises an importing unit, wherein the importing unit is used for inputting preset information into the storage module, and the preset information comprises a physiological data health value, a physiological data abnormal reason and an abnormal solving method.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210117755.4A CN114496146A (en) | 2022-02-08 | 2022-02-08 | Digital twin health management system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210117755.4A CN114496146A (en) | 2022-02-08 | 2022-02-08 | Digital twin health management system |
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| CN114496146A true CN114496146A (en) | 2022-05-13 |
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| CN202210117755.4A Withdrawn CN114496146A (en) | 2022-02-08 | 2022-02-08 | Digital twin health management system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115206551A (en) * | 2022-08-10 | 2022-10-18 | 北京京东拓先科技有限公司 | Health state monitoring method and device based on digital twins |
| CN117038100A (en) * | 2023-10-09 | 2023-11-10 | 深圳市乗名科技有限公司 | Health management system based on IOT technology |
-
2022
- 2022-02-08 CN CN202210117755.4A patent/CN114496146A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115206551A (en) * | 2022-08-10 | 2022-10-18 | 北京京东拓先科技有限公司 | Health state monitoring method and device based on digital twins |
| CN117038100A (en) * | 2023-10-09 | 2023-11-10 | 深圳市乗名科技有限公司 | Health management system based on IOT technology |
| CN117038100B (en) * | 2023-10-09 | 2024-03-15 | 深圳市乗名科技有限公司 | Health management system based on IOT technology |
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Application publication date: 20220513 |