Intelligent old-age care information system based on big data

Abstract

The invention discloses a smart old-age care information system based on big data, and relates to the technical field of smart old-age care, the system is composed of a four-layer architecture, and the system comprises a data acquisition layer which acquires daily activity data of old people through an identity information acquisition device; the data storage layer stores the collected data in a database, and classification and screening are carried out through a big data distributed computing framework; the application data management layer performs data interaction and management through an interface and middleware by combining actual function requirements and data collection rules through Internet and mobile Internet development technologies; and the application display layer is used for a series of functions of behavior alarm, personnel management, data analysis, data display and data statistics, and is used for analyzing and intervening abnormal behaviors of old people. Long-term activity data of old people are introduced into intelligent monitoring, personalized long-term daily activity changes are actively monitored, the defects of traditional monitoring are overcome, the possibility of early intervention of diseases is improved, and objective decision data are provided for old-age care services.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent elderly care, and more specifically, to an intelligent elderly care information system based on big data. Background Art

[0002] With the accelerating advancement of population aging, people's concept has changed from "treating existing diseases" to "preventing diseases before they occur", and they hope to maintain and obtain health through a more proactive and healthy lifestyle. Nursing homes are the long-term living scenarios for the elderly, and the trajectory of their health changes is often hidden in their daily activities. At present, the staff in nursing homes mostly observe the health activities of the elderly through naked eyes and subjective feelings, and the personal judgment criteria are not unified. Moreover, the caregivers are generally on shift and conduct regular inspections, and the monitoring continuity is poor. It is difficult to detect the inflection point of health decline in the first place and easy to miss the golden period for intervention. The existing intelligent security systems based on regions can actively collect the behavior data of the elderly, but usually have simple security functions. Most of them focus on general common and group security issues, do not extract and classify the personalized behaviors of the elderly according to scientific research characteristics, and do not link with health information for judgment. Therefore, the data cannot effectively serve the elderly; there is also no effective solution proposed for human-computer interaction, and the information processing results are not intuitive and difficult to be used for the care decision-making of the elderly. Therefore, the data cannot effectively serve the caregivers.

[0003] Therefore, how to introduce the activity behaviors of the elderly into intelligent monitoring and achieve personalized analysis, and show the long-term behavior trajectory changes of the elderly in nursing homes, so as to provide objective decision-making data for the elderly care services is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0004] In view of this, the present invention provides an intelligent elderly care information system based on big data. By continuously monitoring the activity participation in the public areas of the nursing home outside the elderly's rooms, it realizes the activity participation analysis, action boundary warning, activity anomaly reminder, etc. of the elderly, and timely discovers the potential abnormal states of the elderly, providing objective decision-making data for the elderly care services.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent elderly care information system based on big data, the architecture of the intelligent elderly care information system is built from bottom to top by a data acquisition layer, a data storage layer, an application data management layer, and an application display layer; wherein:

[0007] The data acquisition layer collects the daily activity data of the elderly through the identity information acquisition devices deployed at various points in the nursing home campus;

[0008] The data storage layer is used to store the collected daily activity data of the elderly into the database through the Internet protocol, and classify and screen the data according to the rules set by the system through the big data distributed computing framework, so as to achieve the effects of real-time storage, real-time analysis, and real-time synchronization of the data;

[0009] The application data management layer combines the actual functional requirements and data collection rules through Internet and mobile Internet development technologies, and conducts data interaction and management through interfaces and middleware to complete secondary data collection;

[0010] The application display layer is used for a series of functions such as behavior alarm, personnel management, data analysis, data display, and data statistics, so as to analyze and intervene in the abnormal behaviors of the elderly. At the same time, by providing a series of friendly interaction functions for the elderly, new data is generated during the interaction of the elderly, and then through long-term data accumulation, a complete data model is gradually formed, providing more powerful data support for the care of the elderly and the diseases of the elderly.

[0011] The technical effects achieved by the above technical solutions are: the main architecture of the intelligent elderly care information platform is disclosed, and a series of objective data reports and graphic analyses such as activity participation analysis, action boundary warning, activity abnormality reminder, and activity hobby statistics of the elderly can be realized, providing objective decision-making data for the elderly care service.

[0012] Optionally, the identity information collection device is a camera, an access control card or a locator, which is used to determine the identity of the elderly and collect the daily activity data of the elderly.

[0013] The technical effects achieved by the above technical solutions are: through the camera and face recognition technology, the identity of the elderly can be confirmed; in addition, through hardware devices such as access control cards and locators, the location of the elderly can be obtained, and the identity of the elderly can be determined, and the daily activity data of the elderly can also be collected.

[0014] Optionally, the daily activity data of the elderly includes a series of parameters such as the entry and exit locations, entry and exit times, stay times, location tags, activity tags, etc.

[0015] Optionally, the database is an Oracle database. Considering the scalability of the system and the accuracy of data analysis, the database adopts a highly structured module design to ensure the structuring, standardization, and standardization of the data.

[0016] Optionally, the data interaction is specifically: through the HTTPS transmission protocol, the daily activity data of the elderly flows among the WeChat mini-program terminal, the WEB management background terminal, and the database, forming a complete ecological closed-loop of business, function, and analysis.

[0017] Optionally, the WEB management backend is provided with a user management module, a first behavior analysis module, a social circle analysis module, and an abnormal alarm module;

[0018] The user management module takes the institutional manager as the super administrator and the super administrator has the highest system authority, and is used to create an administrator identity for front-line staff. The administrator can enter information for the elderly to establish a file;

[0019] The first behavior analysis module includes a module partition and a data display area; the module partition can be searched for vaguely through the user list; the data display area can perform path analysis, duration analysis, and activity value analysis through different time dimensions, and dynamically display through different presentation forms;

[0020] The social circle analysis module calculates the activity level to display the current activity value and activity status of the elderly, and determines the changes in the social circle by viewing the historical records under different time dimensions, discovers in time the elderly with a shrinking social circle or possible loneliness, and helps the elderly make friends with the elderly with similar interests;

[0021] The abnormal alarm module is used to give early warning reminders for abnormal behaviors including abnormal staying at night, staying indoors for a long time, and reduced activities, and to display in detail the time, location, camera number, and warning reason of the event. In addition, the staff can also click on the details to view information such as the name, gender, age, disease, floor, room number, phone number of the elderly himself, and phone number of the family members of the object under warning.

[0022] Optionally, when there are the following two situations, the abnormal alarm module determines it as an abnormal behavior:

[0023] (1) Based on the accumulation of the personal historical data of the elderly, the deviation value is determined, and when the deviation occurs, it is considered that the elderly has an abnormal behavior;

[0024] (2) The activity level of the elderly is compared with the system preset threshold in real time. When the activity level of the elderly is less than the system preset threshold, it is considered that the elderly has an abnormal behavior.

[0025] Optionally, the different presentation forms are nine-square grid, bar chart, pie chart, or trend chart.

[0026] Optionally, the WeChat mini-program terminal is provided with a second behavior analysis module, a social analysis module, and an abnormal reminder module;

[0027] The second behavior analysis module is used to present a general behavior analysis report, and the behavior analysis report can compare the activity participation situations of this month and last month to generate targeted activity suggestions;

[0028] The social analysis module initially understands the scale of the social network through social analysis and assists the elderly in identifying potential interest partners; it confirms the active value of the elderly in the current month and their activity level by calculating the activity value, discovers the less active elderly, and can also view the activity status of the elderly based on different time dimensions.

[0029] The abnormal reminder module provides services for the elderly and their family members who are mutually bound to view reminder information and recording results of the elderly's abnormal behaviors. In addition, the staff can handle the abnormal reminders by logging in to the WeChat mini-program, and the elderly can view their own relevant system prompts and recording results.

[0030] Optionally, the calculation method of the activity level is as follows:

[0031] The activities of the elderly are divided into social and cultural activities, physical activities, intellectual activities, and expressive activities. Let C represent the social activity level, A i represent a certain type of social activity, and F i represent the participation frequency of a certain activity. Then the activity level formula is specifically expressed as:

[0032]

[0033] Among them, when A i is 1, it means that the camera captures that an elderly person participates in this type of activity. When A i is 0, it means that an elderly person does not participate in this activity.

[0034] Through the above technical solutions, compared with the prior art, the present invention provides a smart elderly care information system based on big data, which has the following beneficial effects:

[0035] (1) In terms of service architecture and information technology, the present invention uses the mainstream microservice architecture as the architecture foundation, integrates technologies such as data algorithms, the Internet of Things, the Internet, and mobile Internet, uses the international mainstream HTTPS secure transmission protocol to achieve data interaction, and then manages data through the web side and performs function operations through the mini-program side, constructing a complete closed-loop ecosystem for the activity analysis of the elderly.

[0036] (2) The present invention monitors the activity participation of the elderly through cameras, uses the activity matching data after face recognition or other identity recognition technologies such as access control cards and locators as the data source, classifies and screens the materials according to various indicators, and provides activity data for decision-making analysis for the data analysis part of the system; the system as a whole basically realizes a series of objective data reports and graphic analyses such as the activity participation of the elderly, the analysis of hobbies and habits, the early warning of action boundaries, the reminder of abnormal activities, and the statistics of activity hobbies, providing objective decision-making data for the elderly care service.

[0037] (3) In the present invention, a WEB management background end and a WeChat mini-program end are respectively designed on the user port. The WEB management background end is mainly used by institutional managers and staff, and detailed data is displayed in various forms from different time and content dimensions. The user roles of the elderly, staff, and family members are set on the WeChat mini-program end. The elderly who can use smart phones are encouraged to conduct self-management. At the same time, this mobile end serves as a supplement to the WEB management background end for staff to work remotely. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0039] Figure 1 It is a design diagram of a smart elderly care information system based on big data;

[0040] Figure 2 It is a schematic structural diagram of the function modules of the WEB management background end;

[0041] Figure 3 It is a schematic structural diagram of the function modules of the WeChat mini-program end. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0043] Smart monitoring is a relatively mature information technology, commonly used in environmental monitoring, traffic monitoring, security monitoring, etc. In this embodiment, smart monitoring is applied to the monitoring of the participation in activities in elderly care institutions, breaking through the general shackles of the traditional monitoring mode that emphasizes overall security over individual analysis, analyzing the action trajectory data from multiple angles and levels to maximize the individual differences and uniqueness within the monitoring area, and expanding the application dimension and practical value of smart monitoring.

[0044] In terms of the service architecture and information technology, this embodiment adopts the mainstream microservice architecture as the architecture foundation, integrates technologies such as data algorithms, the Internet of Things, the Internet, and mobile Internet, and uses the international mainstream HTTPS secure transmission protocol to achieve data interaction. Specifically, such as Figure 1As shown in the figure, the system architecture is built from the bottom up by a data collection layer, a data storage layer, an application data management layer, and an application display layer; among which:

[0045] (1) Data collection layer: The daily activity data of the elderly is collected through cameras deployed at various points in the elderly care institution campus in combination with face recognition technology, including the entry and exit locations, entry and exit times, stay times, location tags, activity tags, etc. In other implementation manners, identity recognition can also be performed through other hardware devices such as access cards and locators to confirm the identity of the elderly.

[0046] (2) Data storage layer: The daily activity data of the elderly collected is stored in an Oracle database through the Internet protocol, and is classified and filtered according to the rules set by the system through a big data distributed computing framework, achieving the effects of real-time storage, real-time analysis, and real-time synchronization of data; considering the scalability of the system and the accuracy of data analysis, the database adopts a highly structured module design to ensure the structuring, standardization, and standardization of data.

[0047] (3) Application data management layer: Through mature Internet and mobile Internet development technologies (backend JAVA development technology, frontend H5 development technology) combined with actual functional requirements and data collection rules, data interaction and management are carried out through interfaces and middleware to complete secondary data collection; through the HTTPS transmission protocol, secure and reliable data flow is achieved among the WeChat mini-program terminal, the WEB management background terminal, and the database, realizing a complete business, function, and analysis ecological closed loop.

[0048] (4) Application display layer (backend technology JAVA, frontend technology react): It is used for a series of functions such as behavior alarm, personnel management, data analysis, data display, and data statistics, helping the park personnel and hospital personnel to analyze and timely intervene in the abnormal behaviors of the elderly. At the same time, by providing a series of friendly interaction functions for the elderly, new data is generated during the interaction of the elderly, and through long-term data accumulation, a complete, efficient, and reliable data model is gradually formed, providing more powerful data support for the care of the elderly and the diseases of the elderly.

[0049] The above content introduces the main architecture of the intelligent elderly care information system. In the interaction of each layer, the system is based on the Internet of Things, uses the cameras deployed in the research base as the hardware collection source, and combines the actual functional requirements of the platform to perform comprehensive operations on the usage scenarios, functions, and rules to achieve data classification, stripping, and screening, and then obtain the desired functional data and analysis data. Finally, functions such as function interaction, role interaction, secondary data collection, and automatic report generation are realized through the WEB management background terminal and the WeChat mini-program terminal, ensuring the liquidity and practicality of the data closed loop.

[0050] On the user port, in this embodiment, a WEB management background end and a WeChat mini-program end are respectively designed: the WEB management background end is mainly for institutional managers and staff to use, and can display detailed data in various forms from different time and content dimensions; the WeChat mini-program end sets user roles for the elderly, staff, and family members, encourages the elderly who can use smart phones to manage themselves, and at the same time uses this mobile terminal as a supplement to the WEB management background end for staff to work remotely.

[0051] Next, the functions of the WEB management background end will be introduced, as Figure 2 shown, it is equipped with a user management module, a first behavior analysis module, a social circle analysis module, and an abnormal alarm module;

[0052] (1) User management module

[0053] On the user management page, the institutional manager is used as the super administrator and the super administrator has the highest system authority. The super administrator can create a new administrator identity for front-line staff, and the administrator can enter information for the elderly to establish files.

[0054] (2) First behavior analysis module

[0055] The first behavior analysis module includes a module partition and a data display area; in the module partition, fuzzy queries can be performed through the user list; in the data display area, different time dimensions such as 7 days, 30 days, 90 days, or by year can be selected for path analysis, duration analysis, and active value analysis, and dynamic display can be performed through different presentation forms such as nine-square grids, bar charts, pie charts, or trend charts.

[0056] (3) Social circle analysis module

[0057] The social circle is to promptly discover the elderly whose social circle is shrinking or who may be lonely, and help the elderly make friends with the elderly who have similar interests. By calculating the activity level, the current activity level value and active status of the elderly are displayed, and the changes in the social circle are determined by viewing the historical records in different time dimensions such as 7 days, 30 days, and 90 days.

[0058] The calculation method for the activity level is as follows: The activities of the elderly are divided into social and cultural activities, physical activities, intellectual activities, and expressive activities. Let C represent the social activity level, A i represent a certain type of social activity, and F i represent the participation frequency of a certain activity. Then the activity level formula is specifically expressed as:

[0059]

[0060] Among them, when A i is 1, it means that the camera captures that a certain elderly person has participated in this type of activity. When A iWhen it is 0, it means that a certain elderly person did not participate in this activity.

[0061] (4) Abnormal alarm module

[0062] It mainly gives early warning reminders for abnormal behaviors such as abnormal staying at night, staying indoors for a long time, and reduced activities, and can display in detail the time of the event, location, camera number, and reason for the early warning. Staff can also view information such as the name, gender, age, disease, floor, room number, phone number of the elderly person himself, and phone number of the family members of the object being warned.

[0063] Specifically, when there are the following two situations, the abnormal alarm module determines it as an abnormal behavior:

[0064] (1) Based on the accumulation of the personal historical data of the elderly, the deviation value is determined, and when a deviation occurs, it is considered that the elderly person has an abnormal behavior;

[0065] (2) The activity level of the elderly is compared with the system preset threshold in real time. When the activity level of the elderly is less than the system preset threshold, it is considered that the elderly person has an abnormal behavior.

[0066] In addition, the system attaches great importance to information security and privacy protection. Explanations will be given before data entry, and the elderly person's face recognition information will be entered into the elderly person's face recognition information database after the elderly person signs the informed consent. During the use of the system, to protect the privacy of the elderly, the system does not display the face photos and real-time surveillance videos of the elderly, and uses a combination of text descriptions and simulation diagrams to display the movement trajectories of the elderly instead, protecting the personal privacy of the elderly to the greatest extent. Family users and elderly users are bound to each other, that is, they are entered into the system at the same time, and family members can only view the information of the elderly bound to this account and have no right to view the data of other elderly people. Through the above measures, it is possible to strive to protect user information from being accessed, used, or leaked without permission.

[0067] Next, the functions of the WeChat mini-program terminal will be introduced. It is mainly for the use of the elderly, staff, and family members. The home page of the mini-program terminal has the current day's weather and supports fuzzy query of the elderly person's name or clicking to select the elderly person. Specifically, as Figure 3 shown, the WeChat mini-program terminal has a second behavior analysis module, a social analysis module, an abnormal reminder module, and a meal ordering and diet analysis module (not elaborated in detail here);

[0068] (1) Second behavior analysis module

[0069] The behavior analysis modules on the WeChat mini-program side and the WEB management background side have different functions. The second behavior analysis module is more inclined to present a general behavior analysis report, aiming to provide a simple and easy-to-understand analysis report; while the first behavior analysis module is mainly for staff use, with more detailed data and viewing dimensions, which is also convenient for discovering potential risks in work. Therefore, based on the easy operation and readable reports, a one-key operation is set. That is, each elderly person can view their own monthly behavior analysis report through the relevant modules on the home page. This report can compare the activity participation in this month and last month and generate targeted activity suggestions.

[0070] (2) Social Analysis Module

[0071] The social analysis module is mainly used to find the elderly with similar interests and hobbies. Through social analysis, it can initially understand the size of the social network, find the elderly with the same interests around, and assist the elderly in identifying potential interest partners; by calculating the activity value, it can confirm the activity value and activity level of the elderly in the current month, discover low-active elderly, and can also view the activity status of the elderly based on different time dimensions such as weeks, months, and years.

[0072] (3) Abnormal Reminder Module

[0073] The abnormal reminder function on the WeChat mini-program side is similar to that on the WEB management background side. The elderly and their bound family members can view the reminder information and record results of the elderly's abnormal behaviors, while the staff can handle the abnormal reminders by logging in to the WeChat mini-program.

[0074] In addition, the WeChat mini-program can be accessed via the external network. Its login interface has an option to read the agreement, which clearly and detailedly explains the privacy statement. When logging in, all users of the mini-program need to apply, and can enter the program interface only after being approved by the administrator. Those who are not approved cannot log in and use, thus preventing non-invited users to a certain extent. After entering the program, the accounts of the elderly are independent of each other, and their information does not interfere with each other. They cannot view the information of other elderly people except themselves.

[0075] With the development of emerging technologies, intelligent products related to the elderly care field have been continuously enriched. However, the current information-based products do not focus on the needs of the elderly and caregivers during the design process, resulting in an imbalance between supply and demand and hindering the promotion and application. In this embodiment, a smart monitoring system is developed for the system usage environment and target population. In terms of system functions, based on the UTAUT technical theory model, possible promoting and hindering factors during the usage process are fully considered; based on clinical actual research, considering the actual activities carried out in elderly care institutions and the participation status of the elderly in activities, the frequency and type of activity participation are comprehensively considered, and the activity activity calculation formula used conforms to the system application scenario. In addition, considering that the complicated installation procedure may reduce the user's willingness to use, neither the WEB management backend nor the WeChat mini-program requires the installation of additional application programs. Users can use it by entering the website or searching in the WeChat mini-program, narrowing the usage barrier between the software and the users, reducing the labor cost of system installation and maintenance, and realizing the functional convenience of "turn on and use", which has a certain suitability in the usage scenario.

[0076] This study conducts full-time monitoring of elderly care institutions, covers all base activity rooms, captures additional points in key areas, and supplements with offline management and monitoring by institutional staff to remind staff to pay attention to key populations. Through the form of multi-dimensional data integration, relatively objective long-term and short-term abnormal behavior monitoring reports are given, providing objective decision-making data for the elderly care services.

[0077] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other.

[0078] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A smart elderly care information system based on big data, characterized in that, The architecture of the intelligent elderly care information system is built from bottom to top by a data collection layer, a data storage layer, an application data management layer, and an application display layer; among which: The data collection layer collects the daily activity data of the elderly through identity information collection devices deployed at various points within the elderly care institution campus; The data storage layer is used to store the collected daily activity data of the elderly into the database through the Internet protocol, and classify and filter it according to the rules set by the system through the big data distributed computing framework; The application data management layer combines the actual functional requirements and data collection rules through Internet and mobile Internet development technologies, and conducts data interaction and management through interfaces and middleware to complete secondary data collection; The application display layer is used for a series of functions such as behavior alarm, personnel management, data analysis, data display, and data statistics to analyze and intervene in the abnormal behaviors of the elderly, and form a complete data model.

2. The intelligent elderly care information system based on big data according to claim 1 is characterized in that, The identity information collection device is a camera, an access control card, or a locator, which is used to determine the identity of the elderly and collect the daily activity data of the elderly.

3. The intelligent elderly care information system based on big data according to claim 1, characterized in that, The daily activity data of the elderly includes the entry and exit locations, entry and exit times, stay times, location tags, and activity tags.

4. A smart elderly care information system based on big data according to claim 1, characterized in that, The database is an Oracle database.

5. The intelligent elderly care information system based on big data according to claim 1, characterized in that, The specific data interaction is as follows: Through the HTTPS transmission protocol, the daily activity data of the elderly flows among the WeChat mini-program terminal, the WEB management background terminal, and the database, forming a complete ecological closed-loop of business, functions, and analysis.

6. The intelligent elderly care information system based on big data according to claim 5, characterized in that, The WEB management background terminal is provided with a user management module, a first behavior analysis module, a social circle analysis module, and an abnormal alarm module; The user management module takes the institutional manager as the super administrator and the super administrator has the highest system authority, and is used to create administrator identities for front-line staff; The first behavior analysis module includes a module partition and a data display area; the module partition can be queried vaguely through the user list; the data display area can conduct path analysis, duration analysis, and activity value analysis through different time dimensions, and dynamically display them through different forms of expression; The social circle analysis module calculates the activity level to display the current activity value and activity status of the elderly, and determines the changes in the social circle by viewing the historical records under different time dimensions; The abnormal alarm module is used to give early warning reminders for abnormal behaviors including abnormal stays at night, staying indoors for a long time, and reduced activities, and details such as the time, location, camera number, and warning reason of the event occurrence are displayed in detail.

7. The intelligent elderly care information system based on big data according to claim 6, wherein When there are the following two situations, the abnormal alarm module determines it as an abnormal behavior: (1) Based on the accumulation of the personal historical data of the elderly, the deviation value is determined, and when the deviation occurs, it is considered that the elderly have abnormal behaviors; (2) The activity level of the elderly is compared with the system preset threshold in real time. When the activity level of the elderly is less than the system preset threshold, it is considered that the elderly have abnormal behaviors.

8. An intelligent elderly care information system based on big data according to claim 6, characterized in that, The different forms of expression are nine-square grids, bar charts, pie charts, or trend charts.

9. The intelligent elderly care information system based on big data according to claim 5, characterized in that, The WeChat mini-program terminal is provided with a second behavior analysis module, a social analysis module, and an abnormal reminder module; The second line is the analysis module, which is used to present a general behavior analysis report, and the behavior analysis report can compare the activity participation in this month and last month to generate targeted activity suggestions; The social analysis module can preliminarily understand the size of the social network through social analysis and assist the elderly in identifying potential interest partners; confirm the active value of the elderly in the current month and the active level, and view the active status of the elderly based on different time dimensions; The abnormal reminder module is used to provide services for the elderly and their bound family members to view reminder information and record results of the elderly's abnormal behaviors.

10. A smart elderly care information system based on big data according to claim 6, characterized in that, The calculation method of the activity level is as follows: The activities of the elderly are divided into social and cultural activities, physical activities, intellectual activities, and expressive activities. Let C represent social activity level, A i represent a certain type of social activity, and F i represent the participation frequency of a certain activity. Then the activity level formula is specifically expressed as: Among them, when A i is 1, it means that the camera captures that a certain elderly person participates in this type of activity. When A i is 0, it means that a certain elderly person does not participate in this activity.

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