Smart old-age care management system

Abstract

The invention discloses an intelligent old-age care management system, and relates to the technical field of old-age care management, and the system comprises the steps: collecting health information of an old-age care user through a sensing module, outputting call information, and outputting a volunteer service request; the service center subsystem generates a service work order according to the health information or call information of the pension user; the service provider subsystem is used for receiving the service work order generated by the service center subsystem and distributing service personnel according to the type of the service work order; and the volunteer subsystem is used for generating a volunteer work order according to the received volunteer service request, issuing the volunteer work order and outputting the demands of the pension users in time, the pension demands can be processed through the service center subsystem and the volunteer subsystem, the flexibility of service demand response is provided, and the pension service quality is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of old-age management, and particularly relates to a smart old-age management system. BACKGROUND

[0002] At present, many old people do not go to nursing homes but choose home-based care. The existing home-based care mode still faces a series of challenges: service supply is scattered, and unified standards are lacking; professional services such as health monitoring, emergency assistance and life care are difficult to systematically cover every old person in need; information asymmetry and insufficient resource integration also lead to low service response efficiency. This situation not only affects the quality of life and safety protection of the old people, but also increases the burden of family caregivers and restricts the overall efficiency of the old-age service system. SUMMARY

[0003] The present application aims to provide a smart old-age management system, which can improve the quality of old-age services.

[0004] To achieve the above-mentioned purpose, the present application provides the following solutions. In a first aspect, the present application provides a smart old-age management system, which comprises a perception module, a service center subsystem, a service provider subsystem, a volunteer subsystem and a volunteer terminal; the perception module is connected with the service center subsystem and the volunteer subsystem respectively, the service provider subsystem is connected with the service center subsystem, and the volunteer terminal is connected with the volunteer subsystem. The perception module is configured to collect health information of old-age users, output call information and output volunteer service requests. The service center subsystem is configured to generate service work orders according to the health information or the call information of the old-age users. The service provider subsystem is configured to receive the service work orders generated by the service center subsystem and allocate service personnel according to the service work order types. The volunteer subsystem is configured to generate volunteer work orders according to the received volunteer service requests and publish the volunteer work orders. The volunteer terminal is configured to display the published volunteer work orders and perform order receiving operations on the published volunteer work orders.

[0005] Optionally, the service work order types include life service type, commodity ordering type and emergency assistance type.

[0006] Optionally, the service center subsystem comprises a voice recognition module and a service work order type prediction model. The voice recognition module is configured to convert the call information into text information. The service order type prediction model is used to input the health information or call information of elderly users and output the service order type as text information.

[0007] Optionally, the service order type prediction model is obtained by training a deep learning model using a dataset; The dataset includes input data and label data. The input data is a text description corresponding to a health information sample or a call information sample, and the label data is a service order type corresponding to the input data. The deep learning model used is DistilBERT or TinyBERT.

[0008] Optionally, the sensing module includes a video acquisition unit, which is used to collect videos of the elderly user's daily life. The smart elderly care management system also includes a self-service terminal, which is used to bind the user corresponding to the sensing module, query the health information and life videos of the elderly user, and reserve service work orders with the service provider subsystem.

[0009] Optionally, the service center subsystem includes a monitoring interface; The monitoring interface is used to display the health information and call information of each elderly user, as well as the service work order corresponding to the health information or call information; The monitoring interface is also used by administrators to modify service tickets and synchronize the modified service tickets to the service provider subsystem.

[0010] Optionally, the types of volunteer work orders include life service, goods order, and emergency assistance. The volunteer subsystem is also used to monitor the order acceptance time of the volunteer terminals. If the volunteer work order is for emergency assistance and no volunteer terminal accepts the order within a first set minute, the volunteer work order is transferred to the service center subsystem as a service work order. If the volunteer work order is for life services or goods ordering and no volunteer terminal accepts the order within a second set minute, the volunteer work order is transferred to the service center subsystem as a service work order. The first setting is 1 minute, and the second setting is 5 minutes.

[0011] Optionally, the sensing module includes a positioning device, which may include a wristwatch or mobile phone with positioning function. The sensing module is also used to collect the location information of elderly users through the positioning device and send the location information to the service center subsystem.

[0012] Optionally, the volunteer work order displayed on the volunteer terminal includes the elderly user's name, gender, age, photo, needs, and home location; The volunteer work orders displayed on the volunteer terminal are sorted from closest to furthest from the elderly user's home location.

[0013] Optionally, the health information of elderly users includes blood pressure, blood sugar, body temperature, blood oxygen saturation, electrocardiogram data, weight, body fat percentage, and sleep duration.

[0014] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides a smart elderly care management system. A sensing module collects health information of elderly users, outputs call information, and outputs volunteer service requests. A service center subsystem generates service orders based on the elderly user's health information or call information. A service provider subsystem receives service orders generated by the service center subsystem and assigns service personnel according to the service order type. A volunteer subsystem generates and publishes volunteer service requests based on received volunteer service requests, ensuring timely output of elderly users' needs. This system allows for handling elderly care needs through both the service center subsystem and the volunteer subsystem, providing flexibility in responding to service demands and thus improving the quality of elderly care services. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the functional modules of a smart elderly care management system provided in an embodiment of this application. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] In one exemplary embodiment, this application provides a smart elderly care management system, such as... Figure 1 As shown, the smart elderly care management system includes: a sensing module, a service center subsystem, a service provider subsystem, a volunteer subsystem, and a volunteer terminal; the sensing module is connected to the service center subsystem and the volunteer subsystem respectively, the service provider subsystem is connected to the service center subsystem, and the volunteer terminal is connected to the volunteer subsystem.

[0020] The sensing module is used to collect health information of elderly users, output call information, and output volunteer service requests.

[0021] The service center subsystem is used to generate service work orders based on the health information or call information of elderly users.

[0022] The service provider subsystem is used to receive service work orders generated by the service center subsystem and assign service personnel according to the service work order type.

[0023] The volunteer subsystem is used to generate and publish volunteer service requests based on the received volunteer service requests.

[0024] The volunteer terminal is used to display published volunteer work orders and to accept these orders.

[0025] The service order types include lifestyle services, goods ordering, and emergency assistance.

[0026] The sensing module is configured in a distributed manner based on the elderly users, and the volunteer terminal is configured in a distributed manner based on the volunteers.

[0027] This application addresses elderly care needs through two subsystems: a service center subsystem and a volunteer subsystem. This provides flexibility in responding to service demands and improves the quality of elderly care services. In particular, the volunteer subsystem allows for the utilization of social resources to provide elderly care services, alleviating service pressure.

[0028] The types of volunteer work orders include life services, goods ordering, and emergency assistance.

[0029] The volunteer subsystem is also used to monitor the order acceptance time of the volunteer terminals. If the volunteer work order is for emergency assistance and no volunteer terminal accepts the order within a first set minute, the volunteer work order is transferred to the service center subsystem as a service work order and dispatched by the service provider subsystem. If the volunteer work order is for daily life services or goods ordering and no volunteer terminal accepts the order within a second set minute, the volunteer work order is transferred to the service center subsystem as a service work order and dispatched by the service provider subsystem.

[0030] The first setting is 1 minute, and the second setting is 5 minutes.

[0031] In one exemplary embodiment, a smart elderly care management system further includes an operations management subsystem, a supervision subsystem, and a portal website.

[0032] As a promotional portal, the website allows for the management and publication of elderly care information through its backend. It provides a unified entry point for all users and functional applications.

[0033] The operations management subsystem, possessing the highest-level management authority, supports the implementation of smart elderly care. It handles system initialization, basic data collection, electronic management of elderly records, setup and management of hierarchical operations management departments and branch service institutions, user settings and permission allocation, dynamic management of various data, statistical analysis, and more. The elderly, as the primary service recipients of the project, are the core of the entire elderly care service process; only by establishing elderly records can the platform's entire system function. Customer tags can be set for elderly records to create user profiles. The operations management subsystem performs multi-dimensional statistical analysis on key fields in the records. Elderly records can include basic information, user profiles, family information, health records, contract attachments, activity records, service records, associated volunteers, associated caregivers, membership card information, etc. The system also supports batch import of tens of thousands of elderly data entries. Basic data is the front end for establishing a smart elderly care service system and represents the concrete planning for the implementation of service content. Before project operation begins, initial data needs to be entered into the basic data and user accounts for each role need to be created.

[0034] For unified management, basic data can only be set by the administrator in the backend of the operations management subsystem; other subsystems can only access it. Real-time business monitoring and dynamic risk warnings provide a clear overview of the elderly care project's operation. Various data models are established to output useful data services, allowing the data to demonstrate its value, and comprehensive elderly care data is displayed through a central monitoring screen. Full-screen or split-screen display is supported.

[0035] In one exemplary embodiment, the service center subsystem includes a voice recognition module and a service order type prediction model.

[0036] The speech recognition module is used to convert call information into text information.

[0037] The service order type prediction model is used to input the health information or call information of elderly users and output the service order type as text information.

[0038] The service order type prediction model is obtained by training a deep learning model using a dataset.

[0039] The dataset includes input data and tag data. The input data is a text description corresponding to a health information sample or a call information sample, and the tag data is a service order type corresponding to the input data.

[0040] The deep learning model used is DistilBERT or TinyBERT.

[0041] The service center subsystem uses softphone technology to receive the call information.

[0042] The service center subsystem also includes modules such as call center, customer service, service reservation, location management, hazard warning, and proactive care.

[0043] The call center serves as the command and dispatch hub for elderly care services, providing services such as service integration, dispatch, coordination, command, control, and evaluation for the entire smart elderly care system. The platform utilizes softphone technology. The call center is a communication support platform that can be integrated into the service center subsystem for application.

[0044] Customer Service Module: When a senior calls the hotline or uses the one-click help function to input their call information, the call center will display a pop-up screen. The call center will determine whether the call is for a daily living service, a product order, or an emergency. For daily living services, the agent selects the appropriate service provider based on the senior's needs, generates a work order, and dispatches it. The system will notify the service personnel via SMS. For product orders, the agent selects the appropriate product based on the senior's needs, generates an order, and the call center will notify the merchant to ship the goods via SMS. For emergency assistance, the agent will transfer the call to a family doctor, relatives, or emergency services.

[0045] Service Booking Module: The service order design process includes creating a new service order (service hotline acceptance, user self-service order placement), time-limited order dispatch, system assignment to service personnel, service personnel providing on-site service (photos and location can be uploaded to confirm completion), user evaluation, agent follow-up, monthly assessment, and monthly settlement.

[0046] Location Management Module: By interfacing with GPS and using the elderly's handheld devices (such as smartwatches and senior-friendly mobile phones), the module can pinpoint the elderly person's location in real time, providing strong support for refined services. When an elderly person calls, their current location can be displayed on a pop-up screen. The module also allows location tracking by name, ID number, or contact information, and provides access to their recent activity patterns. Primarily designed for elderly individuals with dementia or disabilities, the module enables service personnel to quickly locate an elderly person in case of an accident via a one-click SOS button. If an elderly person exceeds the designated electronic fence, an automatic alarm will sound, a pop-up window will appear in the customer service chat, and a text message will be sent to their relatives.

[0047] Danger Warning Module: By connecting with various smart devices, the system can monitor the elderly person's daily life, activities, and physiological changes in real time. It can immediately issue warnings for data exceeding normal thresholds. Service center staff can receive these warnings via pop-up notifications on their logged-in computers.

[0048] Proactive Care Module: Proactive care refers to providing humanistic care services to the elderly within the service system to increase service stickiness between the elderly and the service. Through the platform's SMS, voice and other functions, it sends holiday greetings, birthday wishes, medication reminders, cultural and recreational activities, health information, weather reminders and other information to the elderly. It also provides more spiritual comfort to the elderly by visiting them and announcing activities.

[0049] In one exemplary embodiment, the sensing module includes a video acquisition unit for acquiring videos of the elderly user's daily life.

[0050] The smart elderly care management system also includes a self-service terminal, which is used to bind the user corresponding to the sensing module, query the health information and life videos of the elderly user, and reserve service work orders with the service provider subsystem.

[0051] The operator of the self-service terminal can be a senior citizen or a relative, and the relative must be associated with the senior citizen.

[0052] Users of the self-service terminal can clearly see the elderly person's health status, current location and historical trajectory through the app on the self-service terminal, make service reservations, purchase goods, watch videos of the elderly person, conduct health consultations, view various consumptions and available balances, and make online top-ups and payments.

[0053] In one exemplary embodiment, the service center subsystem includes a monitoring interface.

[0054] The monitoring interface is used to display the health information and call information of each elderly user, as well as the service work orders corresponding to the health information or call information.

[0055] The monitoring interface is also used by administrators to modify service tickets and synchronize the modified service tickets to the service provider subsystem.

[0056] In one exemplary embodiment, the sensing module includes a positioning device, which may include a wristwatch or mobile phone with positioning function. The sensing module is also used to collect the location information of elderly users through the positioning device and send the location information to the service center subsystem.

[0057] The volunteer work order displayed on the volunteer terminal includes the elderly user's name, gender, age, photo, needs, and home location.

[0058] The volunteer work orders displayed on the volunteer terminal are sorted from closest to furthest from the elderly user's home location.

[0059] Volunteers earn points by providing services to seniors. Seniors needing volunteer services can call the volunteer subsystem, where a human operator will assign the service to a volunteer via a self-service terminal. Seniors can also place orders through automated terminals, specifying a volunteer or accepting orders. Volunteers can accept and accept orders, check in during service, and confirm service completion through their terminals. Earned points can be redeemed for gifts or services.

[0060] The health information of elderly users includes blood pressure, blood sugar, body temperature, blood oxygen saturation, electrocardiogram data, weight, body fat percentage, and sleep duration.

[0061] In addition to automatically assigning service personnel based on service order type, the service provider subsystem also allows seniors to place orders by phone with a live agent selecting a service provider, or seniors and their relatives to place orders directly on a self-service terminal. Service provider managers will receive SMS notifications and app push notifications, and can log in to the service provider app or the subsystem on a computer to accept orders. The homepage will display pending orders. Clicking "Accept Order" and selecting a service personnel from the organization will complete the order assignment. After assignment, the service personnel will process the order. Service personnel can record the entire service process from start to finish through the app, using features such as defining check-in / check-out methods and taking photos. They can also upload videos and audio recordings and collect service fees via QR code payment.

[0062] The monitoring subsystem allows users to view statistics on elderly residents, service providers, volunteers, work orders, and revenue; providing a clear understanding of the project's specific situation. Comprehensive elderly care big data can be displayed on a large screen. It supports multi-dimensional report data display and features various display pages.

[0063] This application includes three aspects: first, providing care services to the elderly through home visits by professionally trained service personnel; second, establishing a day care center for the elderly in the community to provide day care services; and third, providing some services to the elderly through volunteers.

[0064] This application allows for multi-channel customer acquisition. Senior users can collect customer information through various means such as WeChat login, APP registration, website registration, community steward collection, and smart device collection, achieving rapid, large-scale, and low-threshold customer acquisition.

[0065] This application is based on user tags and user profiles, and allows for custom tag groups and tag names. Staff can tag customers to achieve refined customer classification, precise marketing, and enhance the application value of customer data.

[0066] We provide comprehensive services to seniors around the clock through various means, including assistance with mobility, medical care, meals, family acquaintances, shopping, emergencies, entertainment, travel, information, health, safety, location services, and bed reservations.

[0067] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0068] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A smart elderly care management system, characterized in that, The smart old-age management system comprises a perception module, a service center subsystem, a service provider subsystem, a volunteer subsystem and a volunteer terminal; the perception module is connected with the service center subsystem and the volunteer subsystem respectively, the service provider subsystem is connected with the service center subsystem, and the volunteer terminal is connected with the volunteer subsystem; The perception module is used for collecting health information of old-age users, outputting call information and outputting volunteer service requests; The service center subsystem is used for generating service work orders according to the health information or call information of old-age users; The service provider subsystem is used for receiving the service work orders generated by the service center subsystem and distributing service personnel according to the service work order types; The volunteer subsystem is used for generating volunteer work orders according to the received volunteer service requests and publishing the volunteer work orders; The volunteer terminal is used for displaying the published volunteer work orders and performing order receiving operations on the published volunteer work orders. 2.The smart old-age management system according to claim 1, characterized in that, The service work order types comprise life service type, commodity ordering type and emergency rescue type. 3.The smart old-age management system according to claim 1, characterized in that, The service center subsystem comprises a voice recognition module and a service work order type prediction model; The voice recognition module is used for converting call information into text information; The service work order type prediction model is used for inputting the text information converted from the health information or call information of old-age users to output service work order types. 4.The smart old-age management system according to claim 3, characterized in that, The service work order type prediction model is obtained by training a deep learning model using a data set; The data set comprises input data and label data, the input data is a text description corresponding to a health information sample or a call information sample, and the label data is a service work order type corresponding to the input data; The deep learning model adopts DistilBERT or TinyBERT. 5.The smart management system for the elderly according to claim 1, wherein, The perception module comprises a video acquisition unit, and the video acquisition unit is used for acquiring life videos of old-age users; The smart old-age management system further comprises a self-service terminal, and the self-service terminal is used for binding users corresponding to the perception module, querying health information and life videos of the old-age users, and ordering service work orders from the service provider subsystem. 6.The smart management system for the elderly according to claim 1, wherein, The service center subsystem comprises a monitoring interface; The monitoring interface is used for displaying health information and call information of each old-age user and service work orders corresponding to the health information or call information; The monitoring interface is further used for managers to modify service work orders and synchronize the modified service work orders to the service provider subsystem. 7.The smart management system for the elderly according to claim 1, wherein, The types of the volunteer work orders comprise life service type, commodity ordering type and emergency rescue type; The volunteer subsystem is further used for monitoring order receiving time of the volunteer terminal, if the volunteer work order is of the emergency rescue type and no volunteer terminal receives the order within a first set of minutes, the volunteer work order is transferred to the service center subsystem as a service work order; if the volunteer work order is of the life service type or the commodity ordering type and no volunteer terminal receives the order within a second set of minutes, the volunteer work order is transferred to the service center subsystem as a service work order; The first set of minutes is 1 minute, and the second set of minutes is 5 minutes. 8.The smart management system for the elderly according to claim 1, wherein, The perception module comprises a positioning device, which comprises a wristwatch or a mobile phone with a positioning function, and is further configured to collect location information of the elderly user by the positioning device and send the location information to the service center subsystem. 9.The smart management system for the elderly according to claim 1, wherein, The volunteer terminal displays a volunteer work order, which comprises a name, a gender, an age, a photo, a demand and a family location of the elderly user. The volunteer terminal displays a volunteer work order, which is sorted from near to far according to the distance between the volunteer terminal and the family location of the elderly user. 10.The smart management system for the elderly according to claim 1, wherein, The health information of the elderly user comprises blood pressure, blood sugar, body temperature, blood oxygen saturation, electrocardiogram data, body weight, body fat rate and sleep duration.

Images