Intelligent old-age service system based on multi-technology fusion and implementation method thereof

Abstract

The application relates to the technical field of intelligent endowment, in particular to an intelligent endowment service system based on multi-technology fusion and an implementation method thereof, which comprises: an endowment service network for centralized management and operation, which is used for integrating endowment service resources in the fields of medicine, food, residence, travel and health care, realizing centralized input, classified management, intelligent matching and efficient scheduling of the resources; an intelligent support system based on multi-technology fusion, which is combined with big data, the Internet of Things, artificial intelligence and edge computing technology, and provides omnibearing intelligent support for endowment service; and an intelligent endowment product system with companionship as the core, which comprises a wireless intelligent sensing monitoring module and a desktop terminal life service module. The application solves the problems of scattered endowment service resources and fragmented links, realizes all-domain coverage and efficient scheduling of endowment service by creating the endowment service network for centralized management and operation and integrating resources in the whole industry chain of medicine, food, residence, travel and health care, and improves the convenience and efficiency of old people in obtaining endowment service.

Description

Technical Field

[0001] This invention relates to the field of intelligent elderly care technology, specifically to an intelligent elderly care service system and its implementation method that focuses on companionship and can realize real-time monitoring, life services, remote health care and end-of-life care. Background Technology

[0002] Currently, population aging has become a serious social problem facing the world. Traditional elderly care models have many limitations: on the one hand, elderly care service resources are scattered, and services such as medical care, food, housing, transportation, and rehabilitation are fragmented, lacking a centralized management and operation service network, resulting in low efficiency and poor experience for the elderly in obtaining elderly care services; on the other hand, traditional elderly care services focus more on basic living care, neglecting the elderly's need for spiritual companionship, and lack the in-depth application of advanced technologies, making it impossible to achieve real-time monitoring of the elderly's vital signs and accurate delivery of personalized health and wellness services, and failing to fully address the prominent issues in current elderly care services that "balance living needs and spiritual needs, integrate scattered resources, and improve the level of service intelligence."

[0003] Existing smart elderly care products often suffer from limited functionality, focusing only on vital sign monitoring or providing only basic living services. They fail to integrate resources across the entire industry chain and do not prioritize "companionship," thus failing to fundamentally address the dual needs of elderly people for both daily care and emotional support. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent elderly care service system and its implementation method based on the integration of multiple technologies. By integrating resources from the entire industry chain of medical care, food, housing, transportation, and rehabilitation, and combining technologies such as big data, Internet of Things, artificial intelligence, and edge computing, it creates a centralized management and operation elderly care service network. With companionship as the core, it realizes the integration of real-time vital sign monitoring, life service supply, remote health care services, and end-of-life care, comprehensively meeting the spiritual and living needs of the elderly and addressing the prominent issues in current elderly care services.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an intelligent elderly care service system based on the integration of multiple technologies, comprising: A centralized management and operation network for elderly care services is used to integrate elderly care service resources in the fields of medical care, food, housing, transportation, and rehabilitation, so as to achieve centralized input, classified management, intelligent matching, and efficient scheduling of resources; A multi-technology integrated intelligent support system, combining big data, IoT, AI, and edge computing technologies, provides comprehensive intelligent support for elderly care services; The intelligent elderly care product system with companionship as its core includes a wireless intelligent sensing and monitoring module, a desktop terminal life service module, a remote health and wellness service module, and an end-of-life care service module. Service implementation methods include resource integration, data collection, intelligent analysis and matching, service push and execution, and service feedback and optimization steps.

[0006] As a preferred embodiment of the intelligent elderly care service system based on multi-technology integration of the present invention, the centralized management and operation of the elderly care service network is realized through a centralized management platform, supporting multi-terminal linkage among administrators, elderly users, and service providers, specifically including: The resource integration module is used to integrate elderly care service resources in various fields such as medical care, food, housing, transportation, and rehabilitation. The data monitoring and analysis module is used for data monitoring and analysis. The intelligent matching and scheduling module is used to intelligently match corresponding service resources according to the needs of the elderly and achieve efficient scheduling.

[0007] As a preferred embodiment of the intelligent elderly care service system based on multi-technology integration of the present invention, the intelligent support system based on multi-technology integration includes: The Internet of Things (IoT) module is used to build a wireless intelligent sensing network to realize the real-time collection and transmission of elderly people's vital signs and activity status data. The edge computing module is deployed at intelligent sensing device terminals and regional nodes to enable local real-time analysis and anomaly warning of vital signs and activity data. The big data module is used to store data on the elderly and to accurately identify their needs through data mining and analysis. The artificial intelligence module is used to build companionship interaction models, demand prediction models, and anomaly recognition models to achieve intelligent companionship dialogue, personalized service recommendations, and intelligent recognition of abnormal vital signs.

[0008] As a preferred embodiment of the intelligent elderly care service system based on the integration of multiple technologies according to the present invention, the intelligent elderly care product system with companionship as its core includes: The wireless intelligent sensing and monitoring module deploys non-contact intelligent sensing devices to collect real-time data on the elderly's vital signs such as heart rate and respiration, as well as their activity trajectory and sleep status, enabling abnormal early warning and emergency response. The desktop terminal's life service module integrates various life service resources, provides a simple operating interface, and meets the elderly's needs for life services and emotional companionship. The remote health and wellness service module integrates resources from professional medical institutions, rehabilitation institutions, and psychological service institutions to provide remote diagnosis and treatment, remote rehabilitation, and remote psychological therapy services. The end-of-life care service module provides pain management, symptom care, and psychological support services for terminally ill elderly people.

[0009] As a preferred embodiment of the intelligent elderly care service system based on multi-technology integration of the present invention, the wireless intelligent sensing and monitoring module further includes: The data acquisition unit includes a vital signs acquisition subunit and an environmental acquisition subunit, which are used to collect the elderly’s vital signs parameters and environmental and activity parameters, respectively. The data transmission unit has a built-in wireless communication module for transmitting the collected data to the data analysis unit; The data analysis unit has a built-in anomaly detection algorithm for real-time data analysis to determine whether anomalies exist. The early warning unit, which includes a local early warning subunit and a remote push subunit, is used to trigger an early warning and push early warning information when an anomaly is detected.

[0010] An implementation method for an intelligent elderly care service system based on multi-technology integration includes the following steps: S1. Resource Integration: Integrate elderly care service resources in the fields of medical care, food, housing, transportation, and rehabilitation through a centralized management platform; S2. Data Acquisition: Collect the elderly’s vital signs data in real time through wireless intelligent sensing devices and desktop terminals, and transmit the data to edge computing nodes and big data platforms through the Internet of Things. S3. Intelligent Analysis and Matching: Real-time identification and early warning of abnormal data are achieved through edge computing technology, and accurate analysis of the needs of the elderly is achieved through big data and artificial intelligence technologies, and corresponding service resources are intelligently matched. S4. Service Push and Execution: The matched services are pushed to the elderly and service providers. After the service provider accepts the order, it executes the service. The administrator monitors the service process in real time. S5. Service Feedback and Optimization: Seniors and their families provide feedback on service quality. Based on the feedback data and service data, the platform continuously optimizes the service resource matching algorithm and service plans.

[0011] In a preferred embodiment of the intelligent elderly care service system based on multi-technology integration of the present invention, the intelligent analysis and matching step S3 utilizes the historical data of the elderly stored in the big data module and the data collected in real time, combined with the demand prediction algorithm and anomaly identification algorithm of the artificial intelligence module, to accurately predict the needs of the elderly and personalize the service matching.

[0012] In a preferred embodiment of the intelligent elderly care service system based on the integration of multiple technologies of the present invention, in the service feedback and optimization step S5, by collecting evaluation feedback data from the elderly and their families, and using big data analysis technology, the resource matching algorithm and service plan are continuously optimized to form a closed-loop service optimization mechanism.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. It solves the problem of fragmented and disjointed existing elderly care service resources. By creating a centralized management and operation elderly care service network, it integrates resources from the entire industry chain of medical care, food, housing, transportation, and rehabilitation, achieving full coverage and efficient scheduling of elderly care services, and improving the convenience and efficiency for the elderly to access elderly care services. 2. It breaks through the limitations of the single function of existing smart elderly care products. With companionship as the core, it has built a product system covering all scenarios of life, health and mental health. It not only meets the basic living needs of the elderly, but also focuses on their spiritual companionship and mental health needs, and fully addresses the core pain points of current elderly care services. 3. It has achieved the deep integration and application of multiple cutting-edge technologies, organically combining big data, the Internet of Things, artificial intelligence, and edge computing, solving the problems of low intelligence level and slow response in existing elderly care services, realizing real-time monitoring of vital signs, accurate early warning of abnormalities, and personalized service delivery, thereby improving the intelligence and refinement level of elderly care services; 4. It covers end-of-life care services, improves the full life cycle coverage of elderly care services, fills the gap in the existing smart elderly care services in the field of end-of-life care, reflects humanistic care, and enhances the integrity and humanization of elderly care services; 5. The service model is replicable and scalable, and can be adapted to different regions and different types of elderly care scenarios, such as home-based care, community-based care, and institutional care. It fully meets the needs of elderly care services in the context of the current aging population and has broad application prospects. Attached Figure Description

[0014] Figure 1 This is a system diagram of the present invention; Figure 2 This is a diagram of the wireless intelligent sensing and monitoring module of the present invention; Figure 3 This is a diagram of the user interface of the desktop terminal "Life Market" of this invention; Figure 4 This is a flowchart of the implementation method of the present invention. Detailed Implementation

[0015] Please see Figures 1 to 4 A smart elderly care service system based on the integration of multiple technologies includes: A centralized management and operation network for elderly care services is used to integrate elderly care service resources in the fields of medical care, food, housing, transportation, and rehabilitation, so as to achieve centralized input, classified management, intelligent matching, and efficient scheduling of resources; A multi-technology integrated intelligent support system, combining big data, IoT, AI, and edge computing technologies, provides comprehensive intelligent support for elderly care services; The intelligent elderly care product system with companionship as its core includes a wireless intelligent sensing and monitoring module, a desktop terminal life service module, a remote health and wellness service module, and an end-of-life care service module. Service implementation methods include resource integration, data collection, intelligent analysis and matching, service push and execution, and service feedback and optimization steps.

[0016] Among them, edge computing nodes are deployed in community elderly care service centers or areas where the elderly live in concentrated communities. They are equipped with edge computing gateways to realize local real-time analysis and anomaly warning of sensing data, and reduce data transmission latency. Algorithm module: including anomaly recognition algorithm (built on artificial intelligence, used to identify abnormal vital signs and fall scenarios), demand prediction algorithm (based on big data mining, used to analyze the service needs of the elderly), and resource matching algorithm (used to achieve accurate matching of service resources with the needs of the elderly).

[0017] The centralized management and operation of the elderly care service network is achieved through a centralized management platform, supporting multi-terminal interaction among administrators, seniors, and service providers, specifically including: The resource integration module is used to integrate elderly care service resources in various fields such as medical care, food, housing, transportation, and rehabilitation. The data monitoring and analysis module is used for data monitoring and analysis. The intelligent matching and scheduling module is used to intelligently match corresponding service resources according to the needs of the elderly and achieve efficient scheduling.

[0018] Establish a centralized elderly care service management platform to integrate elderly care service resources in various fields such as medical care, food, housing, transportation, and rehabilitation, including medical institutions, catering service providers, elderly care institutions, transportation service providers, rehabilitation and wellness institutions, and psychological service institutions. This will enable centralized data entry, classified management, intelligent matching, and efficient scheduling of resources, forming an elderly care service network that is "platform-coordinated, resource-linked, and covers the entire region." The platform supports multi-terminal linkage between administrators, seniors, and service providers. Administrators can achieve overall operation management and data monitoring and analysis, seniors can conveniently apply for services and provide real-time feedback on their needs, and service providers can accept service orders and trace the service process, thus realizing the standardized and centralized operation of elderly care services.

[0019] The centralized management platform is deployed on a cloud server, equipped with a high-performance processor and a large-capacity storage device, and supports concurrent access by multiple users to realize the core functions of resource management, data storage, intelligent analysis, and order scheduling. Centralized management platform software: Developed in Java and built on the Spring Boot framework, it includes modules for resource management, data monitoring, order management, intelligent matching, early warning management, and statistical analysis. It supports functions such as service provider onboarding review, service pricing management, and data visualization analysis. Multi-terminal terminals: including administrator terminal (computer terminal, mobile APP), service provider terminal (mobile APP), and elderly family member terminal (mobile APP), to achieve multi-terminal data synchronization and information exchange.

[0020] The intelligent support system integrating multiple technologies includes: The Internet of Things (IoT) module is used to build a wireless intelligent sensing network, connect various intelligent sensing devices, and realize the real-time collection and transmission of elderly people's vital signs and activity status data. Edge computing modules are deployed at intelligent sensing device terminals and regional nodes to enable local real-time analysis and anomaly warning of vital signs and activity data, reduce data transmission latency, improve emergency response efficiency, and avoid network pressure caused by large data transmission. The big data module is used to store the elderly’s vital signs data, lifestyle data, service needs data, and health care data. Through data mining and analysis, it can accurately identify the elderly’s living needs, health risks, and mental needs, providing data support for personalized service delivery, health warnings, and service optimization. The artificial intelligence module is used to build companionship interaction models, demand prediction models, and anomaly recognition models to achieve intelligent companionship dialogue, personalized service recommendations, intelligent identification of abnormal vital signs, and intelligent handling of emergency scenarios, thereby improving the intelligence and personalization of elderly care services.

[0021] A smart elderly care product system centered on companionship includes: The wireless intelligent sensing and monitoring module deploys non-contact intelligent sensing devices to collect real-time data on the elderly's heart rate, respiration, activity trajectory, and sleep status, enabling abnormal early warning and emergency response. The desktop terminal's life service module integrates various life service resources, provides a simple operating interface, and meets the elderly's needs for life services and emotional companionship. The remote health and wellness service module integrates resources from professional medical institutions, rehabilitation institutions, and psychological service institutions to provide remote diagnosis and treatment, remote rehabilitation, and remote psychological therapy services. The end-of-life care service module provides pain management, symptom care, and psychological support services for terminally ill elderly people.

[0022] Among them, the desktop terminal adopts a simple smart desktop device, equipped with a high-definition display screen (the font can be enlarged), a voice recognition module, a video call module, a simplified operation interface, supports one-click calling and voice commands, and is adapted to the operating habits of the elderly. Desktop terminal software: Develop a simple user interface, including functional modules such as "Life Marketplace", "Family Companionship", "Health and Wellness Services" and "Emergency Call", and support voice recognition, video calls, and service application operations.

[0023] The wireless intelligent sensing and monitoring module further includes: The data acquisition unit includes a vital signs acquisition subunit and an environmental acquisition subunit, which are used to collect the elderly’s vital signs parameters and environmental and activity parameters, respectively. The data transmission unit has a built-in wireless communication module for transmitting the collected data to the data analysis unit; The data analysis unit has a built-in anomaly detection algorithm for real-time data analysis to determine whether anomalies exist. The early warning unit, which includes a local early warning subunit and a remote push subunit, is used to trigger an early warning and push early warning information when an anomaly is detected.

[0024] Among them, the wireless intelligent sensing device supports real-time heart rate and respiration data collection, has fall detection function, and supports sleep status and body movement data collection. The device uses wireless communication methods such as Bluetooth, WiFi and 4G to quickly connect to the Internet of Things network, making it suitable for elderly people to use at home and when going out. Intelligent sensing software: Embedded in wireless intelligent sensing devices, it realizes the functions of data acquisition, wireless transmission, and anomaly detection, and supports real-time communication with edge computing nodes.

[0025] An implementation method for an intelligent elderly care service system based on multi-technology integration includes the following steps: S1. Resource Integration: Through a centralized management platform, integrate elderly care service resources in the fields of medical care, food, housing, transportation, and rehabilitation, complete the onboarding of service providers and the classification and entry of resources, and build a centralized management and operation elderly care service network; S2. Data Collection: Collect elderly people's vital signs, lifestyle habits, service needs, and activity data in real time through wireless intelligent sensing devices and desktop terminals, and transmit them to edge computing nodes and big data platforms through the Internet of Things. S3. Intelligent Analysis and Matching: Real-time identification and early warning of abnormal data are achieved through edge computing technology, and accurate analysis of the needs of the elderly is achieved through big data and artificial intelligence technologies. Based on the analysis results, corresponding service resources are intelligently matched. S4. Service Push and Execution: The matched life services, health care services, and companionship services are pushed to the elderly and service providers. After the service provider accepts the order, it executes the service. The administrator monitors the service process in real time. S5. Service Feedback and Optimization: Seniors and their families provide feedback on service quality. Based on the feedback data and service data, the platform continuously optimizes the service resource matching algorithm and service plans to improve service quality.

[0026] In the intelligent analysis and matching step S3, the historical data of the elderly stored in the big data module and the data collected in real time are used, combined with the demand prediction algorithm and anomaly recognition algorithm of the artificial intelligence module, to accurately predict the needs of the elderly and match services in a personalized manner.

[0027] In the service feedback and optimization step S5, by collecting evaluation feedback data from the elderly and their families, and using big data analysis technology, the resource matching algorithm and service plan are continuously optimized to form a closed-loop service optimization mechanism.

[0028] like Figure 2 As shown, it features a modular design, consisting of four core parts: a data acquisition unit, a data transmission unit, a data analysis unit, and an early warning unit. These parts are interconnected to form a complete monitoring loop, as described in detail below: Data acquisition unit (left side): Serving as the input end of the module, it includes a vital sign acquisition subunit and an environmental acquisition subunit. The vital sign acquisition subunit connects to the wireless intelligent sensing and monitoring device and labels the specific vital sign parameters that can be collected (heart rate, blood pressure, blood oxygen, body temperature, fall status). The environmental acquisition subunit connects to the smart mattress, human body sensors, etc., and labels the environmental and activity parameters that can be collected (sleep status, body movement data, human activity trajectory). Each acquisition device and subunit is identified by wired or wireless connection. Data transmission unit (right side of data acquisition unit): Connected to the data acquisition unit, it has built-in Bluetooth, WiFi and 4G wireless communication modules. The transmission range and core advantages of each communication module are marked. Its main function is to synchronously transmit various types of data collected by the acquisition unit to the data analysis unit, and at the same time receive feedback instructions from the data analysis unit. Data Analysis Unit (right side of Data Transmission Unit): Connected to the data transmission unit, the edge computing module of the technical support layer, and the big data module, it has a built-in anomaly detection algorithm and labels the core functions of the algorithm (vital sign anomaly detection, scene anomaly detection). Its main function is to receive data from the transmission unit, combine the local analysis capabilities of the edge computing module and the historical data of the big data module, and perform real-time analysis on the data to determine whether there are any anomalies. The early warning unit (far right, serving as the module's output): connected to the data analysis unit, includes a local early warning subunit and a remote push subunit. The local early warning subunit corresponds to the vibration and voice early warning functions of intelligent sensing and monitoring devices and desktop terminals, and marks the early warning trigger conditions. The remote push subunit corresponds to the early warning information push functions of the administrator terminal, family member terminal, and medical institutions, and marks the type of information pushed (abnormal data, early warning level, elderly person's location), using arrows to indicate the push flow of early warning information, clearly demonstrating the complete process of monitoring, analysis, and early warning.

[0029] like Figure 3 As shown, the interface adopts a simplified design to suit the operating habits of the elderly. It is divided into three parts: the top navigation bar, the middle function area, and the bottom shortcut bar. The specific layout and function descriptions are as follows: Top navigation bar (at the very top of the interface, at a moderate height, with enlarged and bold font): The left side is labeled with the title "Life Marketplace", and the right side has two shortcut buttons, namely "Family Video" and "Emergency Call". The button icons use simple and easy-to-understand patterns (video icon and call icon) and label the button functions to facilitate one-click operation for the elderly; The central functional area (the core area of ​​the interface, accounting for over 70%) adopts a grid layout, divided into three sections: Life Services, Health and Wellness Services, and Entertainment and Companionship. Each section has independent icons and text labels, with clear icons and enlarged text. Specifically, it includes: Life Services: 5 function buttons: food delivery, housekeeping, in-home hairdressing, shopping, and travel booking. Each button is labeled with its function name and a simple icon. Clicking a button will take you to the details page of the corresponding service (labeled with the core content of the details page: service introduction, price, and booking process); Health and Wellness Services: 3 function buttons: remote consultation, rehabilitation guidance, and psychological counseling, labeled with their function names. Clicking these buttons will quickly jump to the corresponding page of the remote health and wellness services module; Entertainment and Companionship: 3 function buttons: opera playback, news broadcast, and voice chat, labeled with their function names, to meet the spiritual and entertainment needs of the elderly. Bottom quick access bar (at the very bottom of the interface): On the left is a "Voice Assistant" button (labeled "Voice Control" with a microphone icon), allowing seniors to operate the interface via voice commands; on the right is a "My Orders" button, which displays the number of orders currently pending and completed, making it easy for seniors to check the service progress.

[0030] Specific application scenarios are as follows: 1. Real-time monitoring scenario: The wireless intelligent sensing and monitoring device collects respiratory and heart rate data in real time. When a sudden increase in heart rate is detected (exceeding the preset threshold), the edge computing node immediately identifies the abnormality, triggers the terminal vibration warning, and pushes the warning information to the elderly's family members, the administrator, and nearby medical institutions. The administrator contacts the elderly in a timely manner, and the medical institutions make a preliminary judgment on the situation based on the vital signs data. If necessary, they will provide on-site treatment to ensure the health and safety of the elderly. 2. Daily life service scenario: Seniors can use the "Daily Life Marketplace" on the desktop terminal to "book a haircut at home" by voice command. The system uses big data analysis to analyze the senior's location and past service preferences, and intelligently matches nearby hairdressing service providers. After receiving the order, the service provider confirms the service time with the senior and provides the service at home. After the service is completed, the senior can evaluate the service quality through the desktop terminal. 3. Remote healthcare scenario: When elderly people experience mild symptoms such as cough or fatigue, they can initiate a remote medical consultation request through a desktop terminal. The system matches them with a doctor from the corresponding department, and the doctor communicates with the elderly person in real time via video to view the elderly person's vital signs data (which is synchronously pushed by the system), and issues an electronic prescription. The elderly person can then book medication delivery through the "Life Marketplace," enabling them to complete consultations and pick up medications without leaving home. For elderly people who need rehabilitation training, rehabilitation therapists guide them through rehabilitation exercises via video. The system collects the elderly person's rehabilitation exercise data in real time, analyzes the rehabilitation effect, and adjusts the rehabilitation plan in a timely manner. 4. Companionship scenario: When seniors feel lonely, they can initiate voice chat through the desktop terminal. The system's intelligent companionship model will engage in daily conversations with the seniors, play their favorite operas and news, and also connect with family members in real time through video calls to alleviate their loneliness. Psychologists will regularly communicate with seniors through the system via voice and video to understand their emotional state and provide emotional support services. 5. End-of-life care scenario: For terminally ill elderly people, family members can submit an end-of-life care application through the system. The administrator will match professional medical staff, psychologists, and volunteers according to the elderly person's situation. Medical staff will visit regularly to manage pain and provide symptom care, psychologists will provide psychological comfort to the elderly person and their family, and volunteers will provide emotional companionship services. The system will track the service process in real time to ensure the quality of service.

[0031] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart elderly care service system based on the integration of multiple technologies, characterized in that, include: A centralized management and operation network for elderly care services is used to integrate elderly care service resources in the fields of medical care, food, housing, transportation, and rehabilitation, so as to achieve centralized input, classified management, intelligent matching, and efficient scheduling of resources; A multi-technology integrated intelligent support system, combining big data, IoT, AI, and edge computing technologies, provides comprehensive intelligent support for elderly care services; The intelligent elderly care product system with companionship as its core includes a wireless intelligent sensing and monitoring module, a desktop terminal life service module, a remote health and wellness service module, and an end-of-life care service module. Service implementation methods include resource integration, data collection, intelligent analysis and matching, service push and execution, and service feedback and optimization steps.

2. The intelligent elderly care service system based on multi-technology integration according to claim 1, characterized in that: The centralized management and operation of the elderly care service network is implemented through a centralized management platform, supporting multi-terminal linkage among administrators, seniors, and service providers, specifically including: The resource integration module is used to integrate elderly care service resources in various fields such as medical care, food, housing, transportation, and rehabilitation. The data monitoring and analysis module is used for data monitoring and analysis. The intelligent matching and scheduling module is used to intelligently match corresponding service resources according to the needs of the elderly and achieve efficient scheduling.

3. The intelligent elderly care service system based on multi-technology integration according to claim 1, characterized in that: The intelligent support system integrating multiple technologies includes: The Internet of Things (IoT) module is used to build a wireless intelligent sensing network to realize the real-time collection and transmission of elderly people's vital signs and activity status data. The edge computing module is deployed at intelligent sensing device terminals and regional nodes to enable local real-time analysis and anomaly warning of vital signs and activity data. The big data module is used to store data on the elderly and to accurately identify their needs through data mining and analysis. The artificial intelligence module is used to build companionship interaction models, demand prediction models, and anomaly recognition models to achieve intelligent companionship dialogue, personalized service recommendations, and intelligent recognition of abnormal vital signs.

4. The intelligent elderly care service system based on multi-technology integration according to claim 1, characterized in that: The aforementioned intelligent elderly care product system centered on companionship includes: The wireless intelligent sensing and monitoring module deploys non-contact intelligent sensing devices to collect real-time data on the elderly's vital signs such as heart rate and respiration, as well as their activity trajectory and sleep status, enabling abnormal early warning and emergency response. The desktop terminal's life service module integrates various life service resources, provides a simple operating interface, and meets the elderly's needs for life services and emotional companionship. The remote health and wellness service module integrates resources from professional medical institutions, rehabilitation institutions, and psychological service institutions to provide remote diagnosis and treatment, remote rehabilitation, and remote psychological therapy services. The end-of-life care service module provides pain management, symptom care, and psychological support services for terminally ill elderly people.

5. The intelligent elderly care service system based on multi-technology integration according to claim 4, characterized in that: The wireless intelligent sensing and monitoring module further includes: The data acquisition unit includes a vital signs acquisition subunit and an environmental acquisition subunit, which are used to collect the elderly’s vital signs parameters and environmental and activity parameters, respectively. The data transmission unit has a built-in wireless communication module for transmitting the collected data to the data analysis unit; The data analysis unit has a built-in anomaly detection algorithm for real-time data analysis to determine whether anomalies exist. The early warning unit, which includes a local early warning subunit and a remote push subunit, is used to trigger an early warning and push early warning information when an anomaly is detected.

6. An implementation method for an intelligent elderly care service system based on multi-technology integration according to any one of claims 1-5, characterized in that: Includes the following steps: S1. Resource Integration: Integrate elderly care service resources in the fields of medical care, food, housing, transportation, and rehabilitation through a centralized management platform; S2. Data Acquisition: Collect the elderly’s vital signs data in real time through wireless intelligent sensing devices and desktop terminals, and transmit the data to edge computing nodes and big data platforms through the Internet of Things. S3. Intelligent Analysis and Matching: Real-time identification and early warning of abnormal data are achieved through edge computing technology, and accurate analysis of the needs of the elderly is achieved through big data and artificial intelligence technologies, and corresponding service resources are intelligently matched. S4. Service Push and Execution: The matched services are pushed to the elderly and service providers. After the service provider accepts the order, it executes the service. The administrator monitors the service process in real time. S5. Service Feedback and Optimization: Seniors and their families provide feedback on service quality. Based on the feedback data and service data, the platform continuously optimizes the service resource matching algorithm and service plans.

7. The implementation method of an intelligent elderly care service system based on multi-technology integration according to claim 6, characterized in that: In the intelligent analysis and matching step S3, the historical data of the elderly stored in the big data module and the data collected in real time are used, combined with the demand prediction algorithm and anomaly recognition algorithm of the artificial intelligence module, to accurately predict the needs of the elderly and match services in a personalized manner.

8. The implementation method of an intelligent elderly care service system based on multi-technology integration according to claim 6, characterized in that: In the service feedback and optimization step S5, by collecting evaluation feedback data from the elderly and their families, and using big data analysis technology, the resource matching algorithm and service plan are continuously optimized to form a closed-loop service optimization mechanism.

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