A multi-terminal linkage silver-haired old people intelligent health monitoring, psychological intervention, social entertainment and hierarchical health care scheduling system

Abstract

The application discloses a multi-terminal linkage silver-haired old people intelligent health monitoring, psychological intervention, social entertainment and hierarchical health care scheduling system and belongs to the technical field of old people internet of things and big data intelligent scheduling. The system comprises a terminal sensing module, an old people-friendly voice interaction module, an old people social matching module, a health data analysis and hierarchical early warning module, a psychological health evaluation and intervention module, an intelligent health care resource scheduling module, an anti-fraud identification module and a multi-role message pushing module. The application continuously collects physiological sign data of the old people through a wearable device, realizes health abnormality identification and slow disease trend prediction by using an AI algorithm, intelligently matches online social entertainment activities according to the interests and psychological state of the old people, simultaneously connects with psychological doctors, housekeeping service personnel, old people's homes, medical institutions, family members and community grid staff, realizes multi-level linkage alarm in emergency situations and automatic dispatch of health care services. In addition, the application is provided with an old people telecommunication fraud risk identification mechanism, a medicine intelligent reminding function and an old people self-care ability hierarchical evaluation function. The application solves the technical defects of the traditional old people platform, such as scattered functions, isolated data, inability of multi-party collaborative disposal of emergencies and lack of active prediction ability, and builds a full-scene intelligent health care closed loop for home old people.

Description

Technical Field

[0001] This invention relates to the fields of IoT for elderly care, big data analysis, AI intelligent scheduling, and multi-terminal information linkage, and is particularly applicable to an integrated intelligent elderly care service platform for seniors living at home. Background Technology

[0002] my country's aging population continues to deepen, with a massive number of people relying on home-based elder care. Existing elder care platforms suffer from numerous technological shortcomings: most platforms offer limited functionality, providing only social, housekeeping, or health record services independently, with data isolated and unable to form an integrated service loop; ordinary health bracelets only display basic data, lacking intelligent analysis of health trends and tiered early warning mechanisms; in emergencies such as falls or abnormal health indicators, they cannot simultaneously coordinate with family members, communities, and medical institutions for collaborative response; traditional platforms are complex to operate and unsuitable for the habits of the elderly. Meanwhile, elderly people living alone often experience loneliness and lack: suitable online social and entertainment channels; some elderly people have psychological and emotional problems, making it difficult to easily access professional psychological intervention; the elderly are highly vulnerable to health product sales and telecommunications fraud, and existing platforms lack risk identification and prevention mechanisms; housekeeping, companionship, and institutional elder care resources are scattered, making it impossible to achieve automated and precise scheduling based on the elderly's health status and disability level. Existing technological solutions cannot systematically solve all of these problems. Summary of the Invention

[0003] The technical problem to be solved by this invention is to overcome the technical defects of existing elderly care platforms, such as fragmented functions, lack of proactive intelligent prediction, insufficient multi-party linkage capability in emergencies, unsuitability for aging, and extensive scheduling of health and wellness resources. The invention provides a multi-terminal linkage intelligent health monitoring, psychological intervention, social entertainment and hierarchical health and wellness scheduling system for elderly people.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: a multi-terminal interconnected intelligent health monitoring, psychological intervention, social entertainment, and tiered elderly care scheduling system, comprising: a terminal sensing module, an age-friendly voice interaction module, an elderly social matching module, a health data analysis and tiered early warning module, a mental health assessment and intervention module, an intelligent scheduling module for elderly care resources, an anti-fraud identification module, and a multi-role message push module; the terminal sensing module is communicatively connected to an elderly smart wearable bracelet, continuously collecting the elderly's heart rate, blood pressure, activity level, and fall sensor data, and uploading raw physiological data; the age-friendly voice interaction module receives the elderly's voice commands, enabling typing-free voice operation, supporting listening to operas, audiobooks, voice chat, and emergency calls; the elderly social matching module matches online users based on the elderly's interest tags, age group, and geographical information, supporting online conversations, chess, etc. The system includes invitations to card games, singing and poetry recitation, and other cultural and recreational activities. The health data analysis and tiered early warning module receives physiological sensor data and uses AI algorithms to identify sudden health abnormalities and chronic disease trends, classifying warning levels accordingly. The mental health assessment and intervention module collects elderly residents' emotional data from conversations, automatically generating mental health assessment reports and connecting them with resident psychologists for online psychological counseling and rehabilitation intervention. The intelligent scheduling module for elderly care resources stores information on domestic workers, caregivers, elderly care institutions, and medical institutions, automatically matching and dispatching service orders based on the elderly's needs and self-care ability. The anti-fraud identification module identifies elderly fraud risks in phone calls and online communication scenarios, triggering risk alerts. The multi-role message push module selectively pushes alarm information and service notifications to registered family members, community grid workers, elderly care institutions, and medical institutions based on the warning level. Furthermore, the health data analysis and tiered early warning module distinguishes between three levels of signals: ordinary alerts, secondary warnings, and emergency rescue. When an emergency rescue signal is triggered, information is simultaneously pushed to multiple parties along with the elderly person's location data. Furthermore, the system includes a medication reminder management submodule, used to input elderly people's medication plans, push timely medication reminders, record missed doses, and synchronize this information to family members. Additionally, the intelligent scheduling module for elderly care resources incorporates an elderly self-care ability assessment model, automatically distinguishing between self-reliant, semi-disabled, and fully disabled elderly individuals, and matching them with corresponding day care, in-home care, or long-term institutional care services. Furthermore, the system has a data interface for civil affairs supervision, enabling it to aggregate elderly care service operation data to the higher-level elderly care supervision platform in a standardized format. Beneficial effects

[0005] 1. This invention integrates wearable device sensing, AI data analysis, social entertainment, psychological intervention, health and wellness resource scheduling, and multi-party alarm push notifications to form a complete technological closed loop, distinguishing it from single-function elderly care software; 2. It sets up a three-level health early warning mechanism to achieve chronic disease trend prediction and sudden danger alarms, enabling multi-entity synchronous linkage in emergency scenarios to improve the safety of elderly people living alone; 3. It adopts pure voice-based age-friendly interaction to reduce the operating threshold for the elderly; it intelligently matches the elderly with online social interactions based on interest tags to meet their spiritual and entertainment needs; 4. It is equipped with multiple unique technology modules such as psychological assessment, elderly fraud prevention identification, and self-care ability classification assessment to achieve comprehensive monitoring of the physiological, psychological, and safety aspects of elderly people living at home; 5. Health and wellness resources are automatically and intelligently dispatched, accurately matching housekeeping, home care, and institutional elderly care services according to the elderly's disability level, while also supporting connection to the government's civil affairs elderly care supervision system, making it highly practical. Detailed Implementation

[0006] The system's overall workflow includes the following steps: 1. The terminal sensing module continuously collects physiological signs, activity, and fall sensor data of elderly users through smart bracelets and uploads them to the platform server in real time. 2. The elderly can initiate operation requests via voice through the age-friendly voice interaction module, including online social invitations, playing opera books, AI voice chat, and one-click emergency calls. 3. The elderly social matching module reads the elderly's basic information and interest tags, matches them with other eligible elderly users, and creates online rooms supporting online conversations, chess and card games, poetry recitation, and other recreational interactions. 4. The health data analysis and graded early warning module analyzes continuous physiological data to determine if there are abnormal indicators or worsening trends in chronic diseases, and classifies early warning levels according to severity. 5. The mental health assessment and intervention module continuously captures the elderly's interactive language data, performs emotion recognition, and outputs psychological assessments. The system assesses the results; when psychological distress is identified, it pushes the online intervention channel for resident psychologists; Step 6: When the elderly initiate a request for housekeeping, companionship, or care services, or when the system assesses a change in the elderly's disability level, the intelligent scheduling module for elderly care resources automatically selects eligible service providers, generates and issues service orders; Step 7: The anti-fraud identification module monitors communication interaction content in real time. When it detects high-risk information such as elderly care fraud or fake health product sales, it pops up risk warnings for the elderly and their families; Step 8: The multi-role message push module pushes notifications and alarm information to family members, community grid workers, elderly care institutions, or medical institutions based on the warning level; Step 9: The medication reminder management submodule reminds the elderly to take their medication on a scheduled basis according to the preset medication plan, and notifies the registered family members of any missed doses; The platform regularly summarizes operational data and pushes it to the civil affairs elderly care supervision platform through a standard interface. Attached Figure Description

[0007] Figure 1This is a block diagram of the overall system architecture of the present invention; the diagram is labeled as follows: 1-Terminal perception module; 2-Age-friendly voice interaction module; 3-Elderly social matching module; 4-Health data analysis and hierarchical early warning module; 5-Psychological health assessment and intervention module; 6-Intelligent scheduling module for health and wellness resources; 7-Fraud prevention identification module; 8-Multi-role message push module; 9-Medication reminder management sub-module. Figure 2 This is a schematic diagram of the execution flow of the present invention. The diagram is labeled as follows: 1-Terminal sensing module; 2-Age-friendly voice interaction module; 3-Elderly social matching module; 4-Health data analysis and hierarchical early warning module; 5-Mental health assessment and intervention module; 6-Intelligent scheduling module for health and wellness resources; 7-Fraud prevention module; 8-Multi-role message push module; 9-Medication reminder management sub-module.

Claims

1. A multi-terminal interconnected intelligent health monitoring, psychological intervention, social and recreational activities, and tiered elderly care scheduling system, characterized in that: The system includes: a terminal sensing module, an age-friendly voice interaction module, an elderly social matching module, a health data analysis and hierarchical early warning module, a mental health assessment and intervention module, a health and wellness resource intelligent scheduling module, a fraud prevention and identification module, and a multi-role message push module. The terminal sensing module communicates with an elderly smart wearable bracelet, continuously collecting the elderly's heart rate, blood pressure, activity level, and fall sensor data, and uploading raw physiological data. The age-friendly voice interaction module receives the elderly's voice commands, enabling typing-free voice operation and supporting activities such as listening to operas, audiobooks, voice chat, and emergency calls. The elderly social matching module matches online users based on the elderly's interest tags, age group, and geographic information, supporting online conversations, card games, singing and reciting poetry, and invitations to cultural and recreational activities. The health data analysis and hierarchical early warning module... The system comprises several modules: a module that receives physiological sensor data and uses AI algorithms to identify sudden health abnormalities and chronic disease trends, classifying warning levels; a mental health assessment and intervention module that collects elderly people's emotional data from conversations, automatically generates a mental state assessment report, and connects with resident psychologists to conduct online psychological counseling and rehabilitation interventions; a smart scheduling module for elderly care resources that stores information on domestic workers, caregivers, elderly care institutions, and medical institutions, automatically matching and dispatching service orders based on the elderly's needs and self-care ability levels; an anti-fraud identification module that identifies elderly fraud risk information in phone calls and online communication scenarios, triggering risk alerts; and a multi-role message push module that selectively pushes alarm information and service notifications to registered family members, community grid workers, elderly care institutions, and medical institutions based on the warning level.

2. The system according to claim 1, characterized in that, The health data analysis and hierarchical early warning module distinguishes between three levels of signals: ordinary prompts, secondary warnings, and emergency rescue. When an emergency rescue signal is triggered, information is simultaneously pushed to multiple entities along with the elderly person's location data.

3. The system according to claim 1, characterized in that, The system also includes a medication reminder management submodule, which is used to input the elderly's medication plan, push medication reminders on time, record missed doses and synchronize them to family members.

4. The system according to claim 1, characterized in that, The intelligent scheduling module for elderly care resources has a built-in model for assessing the self-care ability of the elderly, which automatically distinguishes between self-care elderly, semi-disabled elderly, and disabled elderly, and matches them with corresponding day care, home care, or long-term institutional care services.

5. The system according to claim 1, characterized in that, The system has a data interface for civil affairs supervision and can collect elderly care service operation data to the higher-level elderly care supervision platform in a standardized format.

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