Intelligent non-inductive nursing method and system for elderly people living alone

Abstract

The invention discloses an intelligent non-inductive nursing method and system for elderly people living alone, and relates to the field related to nursing, and the method comprises the following steps: login: providing user login registration, administrator login, and authority distribution of a user and an administrator; checking personal information and modifying: displaying own basic information, and further modifying variable information; visualization of the collected data: relatives of the elderly and local community management personnel are notified. According to the intelligent non-inductive nursing method and system for the elderly living alone, a non-inductive design concept is adopted, so that intelligent equipment is almost invisible in daily life of the elderly; the conflict psychology of the old people to the equipment is reduced, and the normal life of the old people cannot be interfered by the equipment; silent acquisition and transmission of daily behavior data of the old are realized; the process does not need active participation of the old, so that the convenience and accuracy of data acquisition are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field related to the care of the elderly, and in particular to an intelligent non-intrusive care method and system for the elderly living alone. Background Art

[0002] With the increasing aging of China's population, and many elderly people living alone at home. Coupled with the rapid development of society, the life and work pressure of young people is getting greater and greater. They are often separated from their families due to going out to work, neglecting the care of the family. It is common for the elderly living alone to encounter misfortunes at home. If an unexpected accident suddenly occurs to an elderly person at home, it will leave a great regret for young people.

[0003] When caring for the elderly living alone, most of them only understand the physical condition of the elderly through the cooperation of telephone and camera components, and cannot effectively implement precise care. To solve the above defects, reference can be made to a remote elderly care monitoring method and system based on deep learning disclosed in the prior art (Chinese Patent with application number 202410682018.8 and authorization announcement date of October 15, 2024). This monitoring system realizes the all-round monitoring and evaluation of the living conditions of the elderly, greatly improving the ability and efficiency of the traditional solution; at the same time, this method also constructs a dynamic review strategy based on case retrieval technology, which can adjust the evaluation criteria according to specific situations, improving the reliability of the evaluation, achieving the effect of precise care. At the same time, reference can also be made to a method and system for caring for the elderly based on edge computing disclosed in the prior art (Chinese Patent with application number 202210314730.3 and publication date of August 16, 2022). This system uses artificial intelligence and Internet of Things technology, and the edge-side intelligent interaction system realizes the care and early warning of the elderly, solving the problem that the elderly cannot call the police independently when they encounter danger or need help. At the same time, it can prevent possible dangerous events in advance through interactive information, providing more intelligent, convenient and considerate services for the life of the elderly; and reference can also be made to a method and system for caring for the elderly in intelligent elderly care disclosed in the prior art (Chinese Patent with application number 202411692366.X and application publication date of December 24, 2024). It uses millimeter-wave radar technology to realize non-contact real-time monitoring of the physical state of the elderly. The host supports button and voice keyword recognition to trigger an alarm; the FDx non-intrusive detector will confirm the real needs of the elderly through voice inquiry. Only when it is confirmed that help is needed, will it notify the host to send an alarm message and trigger a call. This method can not only notify relevant personnel in time when detecting emergencies such as the elderly falling or abnormal heart rate, but also confirm the real needs of the elderly through voice inquiry, avoiding false alarms.

[0004] Although the above-mentioned existing technologies can achieve the purpose of precise care, there are still certain deficiencies in the process of use. When caring for the elderly living alone, not only the physical conditions of the elderly need to be understood, but also the privacy of the elderly needs to be protected. Moreover, the efficiency of data transmission to the cloud platform is relatively low, which is rather cumbersome in daily practice.

[0005] Therefore, we propose an intelligent non-intrusive care method and system for the elderly living alone to solve the problems raised above. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent non-intrusive care method and system for the elderly living alone, so as to solve the problems raised in the above background technology. When the current market care system cares for the elderly living alone, not only the physical conditions of the elderly need to be understood, but also the privacy of the elderly needs to be protected. Moreover, the efficiency of data transmission to the cloud platform is relatively low, which is rather cumbersome in daily practice.

[0007] To achieve the above purpose, the present invention provides the following technical solutions: An intelligent non-intrusive care method for the elderly living alone, including the following steps:

[0008] S1. Login: Provide user login and registration, administrator login, and permission allocation for users and administrators.

[0009] S2. View and modify personal information: Display one's own basic information and further modify the changeable information.

[0010] S3. Visualization of collected data: The data of the elderly collected by the hardware side is parsed and processed by the backend, and then encapsulated and returned to the frontend. The frontend then performs data visualization and displays it to the user.

[0011] S4. Alarm notification: When the hardware side detects an abnormal situation in the data collected from the elderly, an emergency message is pushed to the Huawei Cloud Platform. After receiving the message, the backend immediately starts the alarm program and notifies the relatives of the elderly and the local community management personnel.

[0012] Preferably, the hardware side includes a kettle equipped with a flow meter, a bed equipped with a pressure sensor, an outdoor camera equipped with an infrared sensor, and a smart watch equipped with an infrared temperature sensor. A language recognition module is also set inside the smart watch. The data collected by the kettle, bed, outdoor camera, and smart watch is transmitted and stored in the gateway through Wi-Fi.

[0013] An intelligent non-intrusive care system for the elderly living alone consists of a hardware side, a software side, and a Huawei Cloud Platform.

[0014] The hardware side is responsible for collecting the user's daily information; it collects the user's daily water consumption data through a flow meter, the user's body temperature data through an infrared temperature sensor, the user's going-out data through an infrared sensor, and the data on the user's sleep, getting up, and getting out of bed at night through a pressure sensor. Then, it stores the data in the gateway and uploads it to the Huawei Cloud Platform through the NB-IoT network;

[0015] As a "transfer station", the Huawei Cloud Platform is a bridge connecting the hardware and the software; it pushes the data uploaded by the hardware to the software in real time;

[0016] The software side is responsible for processing the data, making it persistent and visual; after the backend parses and processes the received data, it performs a data persistence operation and saves it to the OpenGauss database; the user accesses through devices such as mobile phones and computers. The front end responds to the user's operations and sends requests to the backend. After the backend performs corresponding processing, it returns the data to the front end, and the front end visualizes it and presents it to the user.

[0017] Preferably, the requirements of the OpenGauss database include the storage of user login information, the basic information of the elderly, water consumption data information, fall data information, body temperature data information, going-out data information, and the storage of information collected by the bedside.

[0018] Preferably, the hardware side is internally provided with a flow meter module, a voice recognition module, an infrared body temperature measurement module, a pressure measurement module, a gateway module, an infrared sensing module, and an EPROM module. The gateway module includes a core module, an NB-IoT module, an LED indicator, and a power module.

[0019] Preferably, the core module mainly has an STM32L431 processor as the core control board installed on the PCB board. The data collected by devices such as a temperature and humidity sensor, a gravity sensor, and a PLC, and the control information are sent to the STM32F407VET6 processor through some serial port protocols. The STM32F407VET6 processor uploads the collected data to the Huawei Cloud Platform through NB-IOT.

[0020] Preferably, the NB-IoT module uses a BC28 chip, which is a narrowband cellular Internet of Things module that supports the NB-IoT communication standard; the BC28 chip has characteristics such as low rate, low power consumption, long distance, and massive connection; the module supports multiple network protocols and supports device access protocol docking with the Huawei Cloud Platform, allowing it to be applied in intelligent data gateways to track data.

[0021] Preferably, the flowmeter module, voice recognition module, infrared body temperature measurement module, pressure measurement module, gateway module, and infrared sensing module all transmit data to the STM32F407VET6 processor. The pressure measurement module can detect pressure changes caused by the elderly turning over and record the number of times the elderly turn over per unit time to measure the sleep quality of the elderly. The EPROM module has persistent storage of configuration parameters and can temporarily store data that cannot be uploaded to the server in a timely manner and then upload it to the server after the network is restored.

[0022] Preferably, the high performance of the NB-IoT module can receive data transmitted from the STM32F407VET6 platform at high speed, efficiently transmit the received data to the OneNet platform, support rich Socket AT commands, support USART / GPI / O data communication interfaces, have multiple built-in network protocols (CoAP, TCP / UDP, LWM2M, MQTT, HTTP), and support multiple low-power modes (PSM, eDRX).

[0023] Preferably, the software side includes a server front-end, a server back-end, and information transmission. Users can access the website through terminals (PCs, mobile phones) to perform operations. The front-end page uses elementUI, HTMl, CSS, etc. to render the page, uses node.js to interact with the back-end, and the back-end is developed using the SpringBoot framework. In the SpringBoot framework, there are: the controller layer: the presentation (control) layer, the service layer: the business layer, and the mapper layer: the data persistence (access) layer.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows: The intelligent non-intrusive care method and system for the elderly living alone adopt a non-intrusive design concept, making the intelligent devices almost invisible in the daily life of the elderly. This not only reduces the elderly's resistance to the devices but also ensures that the devices do not interfere with the normal life of the elderly. Without affecting the daily life of the elderly, this project realizes the silent collection and transmission of the elderly's daily behavior data through high-precision sensors and advanced data processing technologies. This process does not require the active participation of the elderly, thus greatly improving the convenience and accuracy of data collection.

[0025] 1. This project uses the OpenGauss database, which has the advantages of high performance, high reliability, high security, easy operation and maintenance, full openness, rich application scenarios, and domestic substitution.

[0026] 2. This project uses NB-IoT technology, which shortens the path of data from collection to the cloud platform and greatly improves the efficiency of data transmission.

[0027] 3. This project uses the Lite-OS system, which supports full coverage of both long-distance and short-distance communication such as NB-IoT, Wi-Fi, and BLE, and collaborates with the cloud to support mainstream protocols such as CoAP, MQTT, and DTLS.

[0028] 4. This project can detect the daily life information of the elderly without violating privacy. And it can comprehensively evaluate the safety of the elderly by integrating various data, which effectively improves the detection of the daily safety of the elderly.

[0029] 5. This project uses the Lite-OS system, which has the advantages of lightweight, small size, low power consumption, and fast startup. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the system topology structure of the present invention;

[0031] Figure 2 It is a schematic diagram of the system function diagram of the present invention;

[0032] Figure 3 It is a schematic diagram of the overall block diagram structure of the software side of the present invention;

[0033] Figure 4 It is the overall architecture diagram of the backend of the software side of the present invention;

[0034] Figure 5 It is the overall architecture diagram of the present invention;

[0035] Figure 6 It is the system function module diagram of the present invention;

[0036] Figure 7 It is the function timing diagram of the present invention;

[0037] Figure 8 It is the overall hardware framework diagram of the present invention;

[0038] Figure 9 It is the download circuit diagram of the present invention;

[0039] Figure 10 It is the schematic diagram of the external storage design structure of the present invention;

[0040] Figure 11 It is the schematic diagram of the indicator light design structure of the present invention;

[0041] Figure 12 It is the schematic diagram of the NB-IOT module design of the present invention;

[0042] Figure 13 It is the installation diagram of the PCB board and STM32L431 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0043] Please refer to Figures 1 - 13, the present invention provides the following technical solutions:

[0044] An intelligent non-intrusive care method for the elderly living alone, comprising the following steps:

[0045] S1. Login: Provide user login and registration, administrator login, and permission allocation for users and administrators;

[0046] S2. View and modify personal information: Display one's own basic information and further modify the changeable information;

[0047] S3. Visualization of collected data: The data of the elderly collected by the hardware side is parsed and processed by the backend, then encapsulated and returned to the frontend, and the frontend performs data visualization and displays it to the user;

[0048] S4. Alarm notification: When abnormal conditions are detected in the data of the elderly collected by the hardware side, an emergency message is pushed to the Huawei Cloud platform. After the backend receives the message, the alarm program is immediately started, and the relatives of the elderly and local community management personnel will be notified; the hardware side includes a kettle equipped with a flow meter, a bed equipped with a pressure sensor, an outdoor camera equipped with an infrared sensor, and a smart watch equipped with an infrared temperature sensor. Among them, a language recognition module is also provided inside the smart watch. The data collected by the kettle, bed, outdoor camera, and smart watch is transmitted and stored in the gateway through Wi-Fi.

[0049] Combined with attached Figure 1 、attached Figure 2 and attached Figure 5 -attached Figure 7 , Login: Provide user login and registration, administrator login, and permission allocation for users and administrators; View and modify personal information: Display one's own basic information and further modify the changeable information; Visualization of collected data: The data of the elderly collected by the hardware is parsed and processed by the backend, then encapsulated and returned to the frontend, and the frontend performs data visualization and displays it to the user; Alarm notification: When abnormal conditions are detected in the data of the elderly collected by the hardware, an emergency message is pushed to the Huawei Cloud server. After the backend receives the message, the alarm program is immediately started, and the relatives of the elderly and local community management personnel will be notified.

[0050] Combined with attached Figure 1 、attached Figure 2 and attached Figure 5 -attached Figure 7, and at login, there are the user management module, personal information module (personal information display and modification), data display module (visualization of the elderly's data), and alarm notification module respectively. Each module has a corresponding page. Registration page: Collect some basic information of the elderly. After successful registration, click "Return to Login" to perform the login operation. Login page: Perform the login operation, providing two login methods: account login and mobile phone number login. Password reset page: In case of forgetting the set password or wanting to modify the password, a password reset operation is provided. Visualization interface for the elderly's data: After parsing and converting the data collected by the hardware, all the data is placed in the data display, and corresponding data can be viewed through the drop-down box. My interface: It has four functions: account information (basic information, living habits), password modification, logout, and account cancellation. Click on the account name and select the corresponding operation through the drop-down box. After the user fills in the login information, the front end makes a simple judgment on the data. If the data is correct, it packages the data and sends an HTTP request. The back end then performs corresponding processing and compares the data with the data in the database. Confirm that the information is correct, and during the login process, judge the identity of the logged-in user and provide different functions for users with different identities.

[0051] An intelligent non-intrusive care system for the elderly living alone consists of a hardware end, a software end, and a Huawei Cloud platform. The hardware end is responsible for collecting the user's daily information, measuring the daily water consumption data of the user through a flow meter, collecting the body temperature data of the user through an infrared temperature sensor, collecting the user's going-out data through an infrared sensor, and collecting the data of the user's sleep situation, getting-up situation, and getting-out-of-bed situation at night through a pressure sensor. Then, the data is stored in the gateway and uploaded to the Huawei Cloud platform through the NB-IoT network. The Huawei Cloud platform serves as a "transfer station" and is a bridge connecting the hardware and the software. It pushes the data uploaded by the hardware to the software in real time. The software end is responsible for processing the data, making it persistent and visualizing it. After parsing and processing the received data, the back end performs a data persistence operation and saves it to the OpenGauss database. The user accesses through devices such as mobile phones and computers. The front end responds to the user's operations and sends requests to the back end. After the back end performs corresponding processing, it returns the data to the front end, and the front end visualizes it and presents it to the user.

[0052] The data collection module of the intelligent non-intrusive care system for the elderly living alone can measure the water consumption through a flow meter, identify the elderly's fall through voice recognition, measure the body temperature through an infrared body temperature sensor, measure whether the elderly go out through an infrared sensor, and measure the number of times the elderly turn over per unit time through a pressure sensor. The device transmits the collected data to the gateway and then uploads it to the Huawei Cloud platform through the NB-IoT network. The server obtains the data from the Huawei Cloud platform through the interface and then conducts operations such as data aggregation storage and data analysis. The user can also view the information of the elderly's daily life through a computer, mobile terminal, or mobile phone.

[0053] The requirements of the OpenGauss database include the storage of user login information, the storage of basic information of the elderly, the storage of water usage data information, the storage of fall data information, the storage of body temperature data information, the storage of going-out data information, and the storage of collected bedside information; inside the hardware side, there are a flowmeter module, a voice recognition module, an infrared body temperature measurement module, a pressure measurement module, a gateway module, an infrared sensing module, and an EPROM module. The gateway module includes a core module, an NB-IoT module, an LED indicator, and a power module; inside the core module, the STM32L431 processor is mainly used as the core control board and installed on the PCB board. Data collected by devices such as temperature and humidity sensors, gravity sensors, and PLCs, and control information are sent to the STM32F407VET6 processor through some serial port protocols. The STM32F407VET6 processor uploads the collected data to the Huawei Cloud platform through NB-IoT; the NB-IoT module uses the BC28 chip, which is a narrowband cellular Internet of Things module that supports the NB-IoT communication standard; the BC28 chip has characteristics such as low rate, low power consumption, long distance, and massive connection; the module supports multiple network protocols and supports device access protocol docking with the Huawei Cloud platform, allowing it to be applied in intelligent data gateways to track data; the flowmeter module, the voice recognition module, the infrared body temperature measurement module, the pressure measurement module, the gateway module, and the infrared sensing module all transmit data to the STM32F407VET6 processor. The pressure measurement module can record the number of times the elderly turn over per unit time due to the pressure change caused by the elderly turning over, so as to measure the sleep quality of the elderly. The EPROM module has the function of persistently storing configuration parameters. For data that cannot be uploaded to the server in time, it can be temporarily stored and then uploaded to the server after the network is restored. The high performance of the NB-IoT module can receive data transmitted by the STM32F407VET6 platform at high speed, efficiently transmit the received data to the OneNet platform, and support rich Socket AT commands, support USART / GPI / O data communication interfaces, and built-in multiple network protocols (CoAP, TCP / UDP, LWM2M, MQTT, HTTP), and support multiple low-power modes (PSM, eDRX).

[0054] The performance of the STM32F407VET6 processor is as follows in the table

[0055] Flowmeter module

[0056]

[0057] Voice recognition module

[0058]

[0059] Infrared temperature sensor module

[0060]

[0061] Pressure sensor

[0062]

[0063] Combined with the appendix Figure 8 , and this project uses a 7.0-inch Guangzhou Dacai DC80480W070 touch screen, with a voltage tolerance range of 5 - 26V, a resolution of 800*480, and this serial port screen adopts a 32-bit Cortex-M3 core + high-speed FPGA architecture.

[0064] Combined with the appendix Figure 8 - Appendix Figure 13 , in this project, the minimum system of the single-chip microcomputer refers to the minimum working unit that can maintain the normal operation of the single-chip microcomputer. It mainly includes a single-chip microcomputer chip, a reset circuit, a clock circuit, and a download circuit; in order to facilitate subsequent debugging, a serial port one-key download circuit is added; the main control chip uses STM32F407VET6, and the serial port conversion chip uses CH340G; a FLASH and an EEPROM chip are added, which can store important parameters after power-off. The FLASH chip model is W25QXX, the communication method is SPI, the EEPROM chip is AT24C02, the communication method is IIC, and pull-up resistors need to be added to the two communication signal lines; in order to indicate whether the task or the system is running normally, LEDs are added to two I / O ports, and the indicator lights can flash at a fixed period when the system is running; the BC28 chip is used in this project, which is a narrowband cellular Internet of Things module that supports the NB-IoT communication standard; the BC28 chip has the characteristics of low rate, low power consumption, long distance, and massive connection. This module supports a variety of network protocols and supports the device access protocol to dock with the Huawei Cloud platform, which can make it applied in intelligent data gateways to track data;

[0065] In the PCB, the main control chip located in the center is the main control chip of the whole board, and its main function is to control other circuits and process data; the power supply module is mainly used to provide power for other parts of the circuit; the NB-IoT module is used to connect to the Huawei Cloud platform; there is an interface connecting to the serial port screen, which is mainly used to display the data collected by the sensor. The program download interface and the USB one-key download interface are used to download programs and debug.

[0066] The software side includes the server front end, server back end, and information transmission. Users access the website through terminals (PCs, mobile phones) to perform operations. The front-end page uses elementUI, HTML, CSS, etc. to render the page, and node.js is used to interact with the back end. The back end is developed using the Spring Boot framework. In the Spring Boot framework, there are: the controller layer: the presentation (control) layer, the service layer: the business layer, and the mapper layer: the data persistence (access) layer.

[0067] Combined with the attached Figure 3 and the attached Figure 4 , users access the website through terminals (PCs, mobile phones) to perform operations. The front-end page uses elementUI, HTML, CSS, etc. to render the page, and node.js is used to interact with the back end. The back end is developed using the Spring Boot framework. In the Spring Boot framework, there are: the controller layer: the presentation (control) layer, the service layer: the business layer, and the mapper layer: the data persistence (access) layer; it provides user login and registration, administrator login, and permission allocation for users and administrators; view and modify personal information: display one's own basic information and further modify the changeable information; visualization of collected data: the elderly data collected by the hardware is parsed and processed by the back end, then encapsulated and returned to the front end, and the front end visualizes the data and displays it to the user; alarm notification: when the hardware detects abnormal conditions in the elderly data collection, an emergency message is pushed to the Huawei Cloud server. After the back end receives the message, it immediately starts the alarm program to notify the relatives of the elderly and the local community management personnel; persistent storage of data: use the OpenGauss relational database to store all the data obtained from device monitoring and uploaded to the cloud platform, and support data dump and export for analysis.

Claims

1. An intelligent non-intrusive care method for the elderly living alone, characterized in that, It includes the following steps: S1. Login: Provide user login and registration, administrator login, and permission allocation for users and administrators. S2. View and modify personal information: Display one's own basic information and further modify the changeable information. S3. Visualization of collected data: The data of the elderly collected by the hardware side is parsed and processed by the backend, encapsulated and returned to the frontend, and the frontend then performs data visualization and displays it to the user. S4. Alarm notification: When the hardware side detects an abnormal situation while collecting the elderly's data, an emergency message is pushed to the Huawei Cloud Platform. After the backend receives the message, it immediately starts the alarm program and notifies the relatives of the elderly and the local community management personnel.

2. The intelligent non-intrusive care method for the elderly living alone according to claim 1, characterized in that: The hardware side includes a kettle equipped with a flow meter, a bed equipped with a pressure sensor, an outdoor camera equipped with an infrared sensor, and a smart watch equipped with an infrared temperature sensor. A language recognition module is also installed inside the smart watch. The data collected by the kettle, bed, outdoor camera, and smart watch is transmitted and stored in the gateway through Wi-Fi.

3. An intelligent non-intrusive care system for the elderly living alone, which is applied to an intelligent non-intrusive care method for the elderly living alone as shown in claim 1, and is characterized in that: The hardware side, software side, and Huawei Cloud Platform form a care system. The hardware side is responsible for collecting the user's daily information; it collects the user's daily water consumption data through a flow meter, the user's body temperature data through an infrared temperature sensor, the user's going-out data through an infrared sensor, and the data on the user's sleep situation, getting-up situation, and getting-out-of-bed situation at night through a pressure sensor. Then it stores the data in the gateway and uploads it to the Huawei Cloud Platform through the NB-IoT network. The Huawei Cloud Platform serves as a "transfer station" and is a bridge connecting the hardware and software; it pushes the data uploaded by the hardware to the software in real time. The software side is responsible for processing data, persisting and visualizing the data; after the backend parses and processes the received data, it performs data persistence operations and saves it to the OpenGauss database; users access through devices such as mobile phones and computers. The frontend responds to the user's operations and sends requests to the backend. After the backend performs corresponding processing, it returns the data to the frontend, and the frontend visualizes it and presents it to the user.

4. The intelligent non-intrusive care system for the elderly living alone according to claim 3, characterized in that: The requirements of the OpenGauss database include storing user login information, basic information of the elderly, water consumption data information, fall data information, body temperature data information, going-out data information, and the information collected by the bedside.

5. The intelligent non-intrusive care system for the elderly living alone according to claim 3, characterized in that: The hardware side is internally provided with a flow meter module, a voice recognition module, an infrared body temperature measurement module, a pressure measurement module, a gateway module, an infrared sensing module, and an EPROM module. The gateway module includes a core module, an NB-IoT module, an LED indicator, and a power module.

6. The intelligent non-intrusive care system for the elderly living alone according to claim 5, characterized in that: The core module mainly has an STM32L431 processor as the core control board installed on the PCB board. The data collected by devices such as a temperature and humidity sensor, a gravity sensor, and a PLC, and the control information are sent to the STM32F407VET6 processor through some serial port protocols. The STM32F407VET6 processor uploads the collected data to the Huawei Cloud Platform through NB-IOT.

7. The intelligent non-intrusive care system for the elderly living alone according to claim 5, characterized in that: The NB-IoT module uses the BC28 chip, which is a narrowband cellular Internet of Things module that supports the NB-IoT communication standard; the BC28 chip has characteristics such as low rate, low power consumption, long distance, and massive connection; the module supports multiple network protocols and supports device access protocol docking with the Huawei Cloud platform, allowing it to be applied in intelligent data gateways to track data.

8. The intelligent non-intrusive care system for the elderly living alone according to claim 5, characterized in that: The flowmeter module, voice recognition module, infrared body temperature measurement module, pressure measurement module, gateway module, and infrared sensing module all transmit data to the STM32F407VET6 processor. The pressure measurement module can detect pressure changes caused by the elderly turning over and record the number of times the elderly turn over per unit time to achieve the purpose of measuring the sleep quality of the elderly. The EPROM module has persistent storage of configuration parameters. For data that cannot be uploaded to the server in time, it can be temporarily stored and then uploaded to the server after the network is restored.

9. The intelligent non-intrusive care system for the elderly living alone according to claim 5, characterized in that: The high performance of the NB-IoT module can receive data transmitted from the STM32F407VET6 platform at high speed, efficiently transmit the received data to the OneNet platform, and support rich Socket AT commands, support USART / GPI / O data communication interfaces, and have multiple network protocols built-in (CoAP, TCP / UDP, LWM2M, MQTT, HTTP), and support multiple low-power modes (PSM, eDRX).

10. The intelligent non-intrusive care system for the elderly living alone according to claim 3, characterized in that: The software side includes the server front-end, server back-end, and information transmission. Users access the website through terminals (PCs, mobile phones) to perform operations. The front-end page uses elementUI, HTMl, CSS, etc. to render the page, and uses node.js to interact with the back-end. The back-end is developed using the SpringBoot framework. In the SpringBoot framework, there are: the controller layer: the presentation (control) layer, the service layer: the business layer, and the mapper layer: the data persistence (access) layer.

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