Intelligent nursing system and nursing method for old people

Abstract

The invention discloses an intelligent nursing system and method for old people, and relates to the field of monitoring networks, and the system comprises a ZigBee module, an ESP-MESH module and a cloud server. The ZigBee module is used for monitoring an activity track, environment data and activity related data in a delimited area through a network node of the ZigBee module and uploading the data to the cloud server, and the network node is composed of a plurality of sensors arranged in the delimited area; the ESP-MESH module is used for monitoring sleep quality and physiological data in a sleep area, daily life physiological data and falling data during movement in the whole family area through network nodes of the ESP-MESH module, and uploading the monitoring data to the cloud server through an ESP-MESH network; the network node is composed of millimeter wave radars arranged in a sleep area, a portable sensor and millimeter wave radars arranged in a whole family area. The system and the method can adapt to a household use environment through simple network arrangement.

Description

Technical Field

[0001] The present invention relates to the field of monitoring networks, and in particular to an intelligent elderly care system and a care method. Background Art

[0002] As the population ages, the fast pace of modern life and the pressure of survival have led modern young people to focus more on work and family, and many elderly people at home have become "empty nesters". Most elderly people living alone suffer from diseases, and they are also accompanied by falls, accidental fires and gas leaks in their daily lives.

[0003] In the existing technology, the University of Science and Technology Beijing has designed a smart elderly care system based on residential communities. Through technologies such as smart terminals and sensors, it monitors the daily life of the elderly and provides functions such as health consultation, medical services and social interaction. China Electronics Technology Group Corporation has also launched a smart elderly care system, including smart door locks, smart blood pressure monitors, smart body fat scales and smart sleep monitors. It achieves interconnection through Internet of Things technology and provides comprehensive health management services for the elderly. Nanjing University of Posts and Telecommunications chooses to build a wireless sensor network based on ZigBee network technology, using various sensors in the home environment, aggregating sensor data through smart gateways, and uploading the data to the cloud server, and using APP to receive relevant sensor data from the server.

[0004] However, in order to obtain relevant data about the elderly in a home environment, the above technology needs to set up a large number of sensors to monitor the activities of the elderly in all areas of the house, which is not suitable for home use environment. Summary of the invention

[0005] The embodiments of the present invention provide an intelligent elderly care system and a care method, which can solve the problem in the prior art that the network arranged in the prior art is complex and not suitable for home use environment.

[0006] An embodiment of the present invention provides an intelligent elderly care system, comprising: a ZigBee module, an ESP-MESH module and a cloud server; the ZigBee module is used to monitor activity tracks, environmental data and activity-related data in a defined area through network nodes of the ZigBee module, and upload the data to the cloud server, and the network nodes of the ZigBee module are composed of multiple sensors arranged in the defined area; the ESP-MESH module is used to monitor sleep quality and physiological data in a sleeping area, physiological data of daily life, and fall data when moving in the entire home area through the network nodes of the ESP-MESH module, and upload the monitoring data to the cloud server through the ESP-MESH network; the network nodes of the ESP-MESH module are composed of a millimeter-wave radar arranged in the sleeping area, a portable sensor, and a millimeter-wave radar arranged in the entire home area.

[0007] Furthermore, the intelligent care system for the elderly also includes: a voice control module; the voice control module is used to convert voice into serial port commands through an ASRPRO voice module for automatic voice recognition; the serial port commands are transmitted to a new programmable infrared codec module for encoding and decoding to obtain packaged infrared remote control commands, and the infrared remote control commands are transmitted to infrared home appliances through a high-power infrared transmitter head for control, and the new programmable infrared codec module is integrated by a single-chip microcomputer STC8 and an infrared codec module; the serial port commands are transmitted to a six-way relay, and a control signal is sent through the six-way relay to control the switch of lamps or home appliances.

[0008] Furthermore, the network nodes of the ZigBee module include: a kitchen node, a bedroom node, a bathroom node, a living room node and a flower bed node; the kitchen node is used to monitor temperature and humidity, flame, harmful gases and activity trajectories, and is composed of multiple sensors arranged in the kitchen area; the bedroom node is used to monitor temperature and humidity and activity trajectories, and is composed of multiple sensors arranged in the bedroom; the bathroom node is used to monitor temperature and humidity, activity trajectories and toilet flushing volume, and is composed of multiple sensors arranged in the bathroom; the living room node is used to monitor temperature and humidity, entertainment time, dining time and sedentary behavior, and is composed of multiple sensors arranged in the living room; the flower bed node is used to monitor soil moisture and light intensity, and is composed of multiple sensors arranged in the flower bed.

[0009] Furthermore, the network nodes of the ESP-MESH module include: a breathing and sleep node, a fall alarm node and a portable sign detection node; the breathing and sleep node is used to monitor sleep quality and physiological data, and is composed of a millimeter-wave radar installed at an angle of 1 meter above the bed and at 45 degrees to the wall and the horizontal plane; the fall alarm node is used to monitor fall data, and is composed of multiple millimeter-wave radars installed throughout the house; the portable sign detection node is used to monitor physiological data of daily life, and is composed of a blood oxygen and heart rate sensor mounted on the body.

[0010] Furthermore, the network node of the ZigBee module monitors the activity track, environmental data and activity-related data in the designated area and uploads them to the cloud server, specifically including: uploading them to the cloud server using AT instructions as a control language through the HTTP protocol.

[0011] Furthermore, uploading the monitoring data to the cloud server specifically includes: reporting to the cloud server via an ESP32 chip for wireless communication.

[0012] Furthermore, the monitoring of sleep quality and physiological data in the sleeping area specifically includes: monitoring the body's heart rate value, heart rate waveform, breathing value, breathing waveform, whether in bed, sleep state and duration, sleep quality score, body movement amplitude parameters, number of turning over and abnormal sleep conditions.

[0013] The embodiment of the present invention provides an intelligent elderly care method, comprising the following steps:

[0014] Obtain a ZigBee module, an ESP-MESH module, and a cloud server; monitor activity trajectories, environmental data, and activity-related data within a designated area through network nodes of the ZigBee module, and upload them to the cloud server, wherein the network nodes of the ZigBee module are composed of a plurality of sensors arranged within the designated area; monitor sleep quality and physiological data within a sleeping area, physiological data of daily life, and fall data when moving within the entire home area through network nodes of the ESP-MESH module, and upload the monitoring data to the cloud server through the ESP-MESH network; the network nodes of the ESP-MESH module are composed of a millimeter-wave radar arranged within the sleeping area, a portable sensor, and a millimeter-wave radar arranged within the entire home area.

[0015] The embodiment of the present invention provides an intelligent elderly care system and a care method, which have the following beneficial effects compared with the prior art:

[0016] The activity trajectory, environmental data and activity-related data in the designated area are monitored through the network nodes of the ZigBee module, and uploaded to the cloud server. The network nodes of the ZigBee module are composed of multiple sensors set up in the designated area. The sleep quality and physiological data in the sleeping area, the physiological data of daily life, and the fall data when moving in the entire home area are monitored through the network nodes of the ESP-MESH module, and the monitoring data are uploaded to the cloud server through the ESP-MESH network; the network nodes of the ESP-MESH module are composed of millimeter-wave radars set up in the sleeping area, portable sensors, and millimeter-wave radars set up in the entire home area.

[0017] The present invention uses the ESP-MESH network with self-organizing network capability and wide coverage that can simplify network deployment. Compared with the use of ZigBee network technology alone, the added ESP-MESH network does not need to set up a large number of complex sensors in the entire home area to obtain the required data within a wide coverage range, which simplifies network deployment while ensuring the whole-house monitoring function for the elderly, and achieves the effect of adapting to the home use environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A system solution architecture diagram of an intelligent elderly care system provided by an embodiment of the present invention;

[0019] Figure 2 A system function diagram of an intelligent elderly care system provided by an embodiment of the present invention;

[0020] Figure 3 A system networking architecture design diagram of an elderly intelligent care system provided by an embodiment of the present invention;

[0021] Figure 4 An intelligent voice control design diagram of an intelligent elderly care system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0023] See also Figure 1 to Figure 4 The embodiment of the present invention provides an intelligent elderly care system, including:

[0024] ZigBee module, ESP-MESH module and cloud server.

[0025] ZigBee module is used to monitor the activity trajectory, environmental data and activity-related data in the designated area through the network nodes of ZigBee module, and upload them to the cloud server. The network nodes of ZigBee module are composed of multiple sensors set in the designated area. Specifically, flames, harmful gases and activity trajectories of the elderly are monitored through multiple sensors set in the kitchen node, the activity trajectories of the elderly are monitored through multiple sensors set in the bedroom node, the activity trajectories of the elderly and the flushing volume of the toilet are monitored through multiple sensors set in the bathroom node, the entertainment time, dining time and sedentary behavior of the elderly are monitored through multiple sensors set in the living room node, and the soil moisture and light intensity are monitored through multiple sensors set in the flower garden node; the monitored data are uploaded to the cloud server through the ZigBee network.

[0026] The ESP-MESH module is used to monitor the sleep quality and physiological data in the sleeping area, the physiological data of daily life, and the fall data when moving in the whole family area through the network nodes of the ESP-MESH module, and quickly and uninterruptedly upload the monitoring data to the cloud server through the ESP-MESH network with fast transmission rate and self-repair network failure capability; the network nodes of the ESP-MESH module are composed of millimeter-wave radars set in the sleeping area, portable sensors, and millimeter-wave radars set in the whole family area. Specifically, the millimeter-wave radar installed at an angle of 1 meter above the bed and at 45 degrees to the wall and the horizontal plane is used as a breathing sleep node to monitor sleep quality and physiological data, and multiple millimeter-wave radars set in the whole house are used as fall alarm nodes to monitor whether the elderly have fallen, and the blood oxygen sensor mounted on the body is used as a portable sign detection node to monitor the body physiological data of daily life; the monitored data is uploaded to the cloud server through the ESP-MESH network.

[0027] 1. Design of system functions:

[0028] The hardware functions include respiratory sleep monitoring, home environment monitoring, home behavior monitoring, home security monitoring, home vital signs monitoring, flower and grass planting monitoring and intelligent control. Among them, respiratory sleep monitoring mainly includes sleep quality monitoring, respiratory waveform monitoring and sleep time distribution; home environment monitoring mainly includes indoor temperature and humidity monitoring and air quality monitoring; home behavior monitoring mainly monitors the use of toilets and showers, including audio-visual behavior monitoring, sedentary behavior monitoring and toilet flushing volume monitoring, and monitors the sitting time of the elderly and the time they watch electronic products such as TV to achieve the purpose of real-time monitoring of the elderly's audio-visual behavior and sedentary behavior; home security monitoring mainly focuses on kitchen electrical safety, including flame warning and smoke warning; home vital signs monitoring mainly monitors the blood oxygen, heart rate and body temperature of the elderly at home; flower and grass planting monitoring mainly meets the daily entertainment needs of the elderly at home and provides convenience for the elderly to plant flowers and plants, which is divided into light monitoring for flowers and plants, air temperature and humidity monitoring and soil humidity monitoring; intelligent control in this system is mainly voice control, including control of lights and home appliances and command control of air conditioners.

[0029] The software functions include data visualization, data analysis and sensor network management. Data visualization includes sleep time, sleep quality, equipment usage times (mainly toilets and showers), environmental data, abnormal event data and video surveillance data display. Environmental data includes indoor temperature and humidity, air quality data and soil moisture data for flower and grass planting. Data analysis includes behavioral habit analysis and abnormal alarms. Sensor network management includes sensor node management and node deployment display.

[0030] System solution design:

[0031] This project aims to design and implement a WSN-based smart home care system for the elderly, including both hardware and software.

[0032] In terms of hardware, WSN is constructed using environmental detection and behavior monitoring sensors, and a hybrid network is established through ZigBee and ESP-MESH networks. In the ZigBee network, there are 5 sensor nodes, namely kitchen node, flower garden node, living room node, bedroom node and bathroom node, and one coordinator node. All sensor nodes in the network must report the sensor data mounted on the node to the coordinator node. The coordinator node receives all node data, packages and reports it to ESP-01S, and publishes it to the MQTT server through the router, thereby realizing the aggregation of multi-sensor and multi-terminal data and transmitting it to the cloud server.

[0033] In the ESP-MESH network, there is no distinction between the nodes, and all data are exchanged between the nodes to realize MESH networking. The nodes in the network are mainly three nodes: breathing and sleeping nodes, fall alarm nodes, and portable blood oxygen, heart rate and body temperature monitoring nodes. Among them, the breathing and sleeping nodes are equipped with a 60G breathing and sleeping millimeter-wave radar (R60ABD1) to monitor the sleep status of the elderly. The fall alarm node is equipped with a 60G fall alarm millimeter-wave radar (R60AFD1) to monitor whether the elderly fall indoors. The portable physical sign detection node is equipped with a MAX30102 sensor to monitor the elderly's heart rate, blood oxygen, body temperature and other data in real time.

[0034] The software is divided into two parts: Android and web. The Android APP realizes the display and analysis of sleep monitoring data. The web part uses the Flask framework to realize the back-end data interface and the front-end H5 display, realizes the hot update of data and real-time display of the elderly's home situation. Figure 3 shown.

[0035] In order to make it more convenient for the elderly at home to control the home appliances, this system has designed a home appliance control system based on voice commands. The types of controlled home appliances mainly include two parts, one part is the home appliances directly controlled by physical circuits, and the other part is the home appliances controlled by infrared commands. Intelligent voice control design is as follows Figure 4 shown.

[0036] 1. Kitchen Node

[0037] In the kitchen node, first of all, we need to prevent fire and toxic gases. Flame sensors and MQ2 smoke sensors are placed in the kitchen to detect flames and harmful gases in the kitchen. Secondly, we need to count the number of times the elderly use the kitchen stove to obtain the elderly's kitchen activity trajectory, so we place an infrared obstacle avoidance sensor on the stove. Using the triggering characteristics of the infrared obstacle avoidance sensor, we can directly get the number of times the elderly use the stove. Finally, DHT11 temperature and humidity sensors are placed in the kitchen to detect the temperature and air humidity in the kitchen. After these sensor data are gathered at the sensor node, they are sent to the coordinator node and finally reported to the MQTT server via the network module ESP01S.

[0038] 2. Bedroom node design

[0039] First, an infrared obstacle avoidance sensor is placed on the bedroom door to monitor the elderly entering and leaving the bedroom. Secondly, an infrared obstacle avoidance sensor is placed next to the bed to monitor whether the elderly are in bed and to warn them if they fall out of bed. Finally, DHT11 is used to monitor the temperature and humidity data in the bedroom. These sensors are collected by the sensor nodes, packaged and sent to the coordinator, and then published to the MQTT server.

[0040] 3. Bathroom node design

[0041] The bathroom node mainly collects data on the elderly's behavior such as going to the toilet and showering. Two infrared obstacle avoidance sensors are arranged in the shower room and the toilet backrest respectively. The infrared obstacle avoidance sensors block the trigger characteristics and sensitivity to monitor the precise time and duration of the elderly's shower and toilet use in real time. When the elderly sit on the toilet, the sensor is triggered immediately, and the time when the elderly sit down is recorded. During the process of using the toilet, if the elderly have not left the toilet, the sensor will remain in the triggered state until the elderly leave the toilet. The shower monitoring principle is the same. When the elderly walk into the shower room, the sensor is triggered immediately, and the time when the elderly walk in is recorded. During the shower, if the elderly have not left the shower room, the sensor will remain in the triggered state until the elderly leave the shower room, and the time when the elderly leave is recorded. In addition, in the toilet flusher part, a water volume sensor is arranged to monitor the flushing volume of the toilet used by the elderly, and then the flushing volume after each use of the toilet can be used to infer whether the elderly have indigestion and constipation.

[0042] 4. Living room node design

[0043] The living room node is mainly used to monitor the elderly's dining, long-term sitting and TV addiction. Two touch sensors are arranged on the dining table and chairs. Based on the fact that the elderly have less exercise, the system determines whether the elderly are sedentary by monitoring the time they spend on the chair. For the monitoring of the elderly's dining and long-term sitting behaviors, when the elderly touch the sensor while dining, the sensor is triggered and the time point is recorded. When the elderly leave the table, the sensor is no longer triggered. At this time, the time when the elderly leave the table is recorded. The time of each meal of the elderly can be counted, including the start time and the end time. Sedentary behavior monitoring is also carried out by arranging touch sensors on the seat surface of the seat. When the elderly sit down, the sensor is touched and the sensor is triggered. At this time, the time point is recorded. When the elderly leave the table, the sensor is no longer triggered. At this time, the time when the elderly leave the table is recorded. The length of time the elderly sit can be counted to determine whether the elderly sit long enough and whether it constitutes sedentary behavior. Finally, the temperature and humidity sensors are arranged in the living room to obtain the real-time temperature and humidity changes in the living room, laying the foundation for the control of the air conditioning temperature.

[0044] Ultrasonic sensors are used to monitor the elderly's TV watching behavior. By monitoring the distance between the elderly and the TV, the length of time they watch TV can be determined, thereby preventing the elderly from becoming addicted to TV.

[0045] 5. Flowerbed node design

[0046] The flowerbed node is mainly used for environmental monitoring of the daily planting of flowers and plants by the elderly, including soil moisture monitoring, light monitoring, and air temperature and humidity monitoring. Use a soil moisture sensor to monitor the soil moisture in the flowerbed so that the elderly can water the flowers and plants on time according to the early warning prompts; use a photosensitive sensor to monitor the light intensity in the flowerbed so that the elderly can supplement the light according to the early warning prompts; use a DHT11 temperature and humidity sensor to monitor the temperature and humidity of the air.

[0047] 6. Voice control node design

[0048] In order to realize voice control of household appliances, the system uses a new programmable infrared codec module that integrates the STC8-bit microcontroller and the infrared codec module. The ASRPRO offline voice module is connected to this new infrared codec module, and the two communicate via serial ports. In fact, STC8 communicates with ASRPRO via UART. At the same time, ASRPRO is also connected to 6 relays to control household electrical appliances.

[0049] First, the ASRPRO voice module converts the external voice reception into serial port commands and transmits the commands to STC8. STC8 then transmits the corresponding packaged infrared remote control commands through a high-power infrared transmitter head. It can remotely control all infrared devices of the same brand and commands in the home regardless of distance and obstructions indoors.

[0050] 7. Breathing and sleeping node design

[0051] In the sleep monitoring part, a 60G breathing and sleeping millimeter-wave radar is placed 1 meter above the bed, at a 45° angle to the wall and the horizontal plane, and reports sleep data to ESP32 through the serial port, including breathing, heart rate, body movement, breathing waveform, heart rate waveform, sleep duration, sleep state and the corresponding proportion of each sleep state in the whole sleep process, etc. ESP32 reports to the MQTT server.

[0052] Fall alarm node design

[0053] This node uses the R60AFD1 fall alarm radar for fall monitoring. An ESP32 is connected to the R60AFD1, and the two use serial communication to achieve data exchange.

[0054] 2. Software Application Design

[0055] The first is the web design, which includes the front end and the back end. The front end uses H5, and the back end uses the Python-based Flask framework. There are three ways for the front and back ends to interact. The first is to use web page refresh, which is commonly known as the computer F5 refresh key. By refreshing the web page, the interface data is requested from the Flask server once, thereby achieving the front-end and back-end interaction function; the second is to use Ajax to asynchronously update the front-end H5 page data. Ajax can be used in JavaScript to periodically request server interface data, thereby achieving the effect of automatically updating data. However, for this system, some data needs to be obtained in real time like MQTT instant messaging. This request method is not suitable for refreshing the web page chart data of this system; the third is to introduce the flask-socketio third-party library, and use Websocket to make the front end and the back end short-connected to form a real-time data transmission channel. When the Flask server is started, the back-end interface is connected to the front-end page request at the same time to achieve the effect of real-time data update.

[0056] The second is data storage design. There are two ways to do this. The first is to write a separate script for database storage and separate it from the backend Flask to reduce the pressure on the backend server. However, because the database and the backend are separated, when the backend interface accesses the database data, the database data may not be updated in a timely manner. The second is to write the database connection, storage, and query into interfaces and place them in the backend server. This not only greatly increases the integration of the system, but also prevents the database data from being updated in a timely manner when the front-end accesses the back-end database interface data.

[0057] The Android side mainly displays the sleep data of the elderly, using the MQTT server with a standard protocol. When the elderly finish sleeping, the data is immediately displayed on the mobile phone APP, and the sleep data is displayed through pie charts and bar charts. Finally, the real-time positioning coordinates of the elderly are transmitted to the APP and displayed on a map.

[0058] The embodiment of the present invention provides an intelligent elderly care method, comprising the following steps:

[0059] Obtain a ZigBee module, an ESP-MESH module, and a cloud server. The activity trajectory, environmental data, and activity-related data in the designated area are monitored through the network nodes of the ZigBee module, and uploaded to the cloud server. The network nodes of the ZigBee module are composed of multiple sensors set in the designated area. The sleep quality and physiological data in the sleeping area, the physiological data of daily life, and the fall data when moving in the entire home area are monitored through the network nodes of the ESP-MESH module, and the monitoring data are uploaded to the cloud server through the ESP-MESH network; the network nodes of the ESP-MESH module are composed of millimeter-wave radars set in the sleeping area, portable sensors, and millimeter-wave radars set in the entire home area.

[0060] A specific embodiment is as follows:

[0061] The hardware of this system includes MCU core controller, various sensors, network communication module, 60G millimeter wave radar, voice module, infrared codec module, ESP32CAM camera module and 6-way relay and other hardware devices.

[0062] First of all, the MCU controller is divided into two types: CC2530 microcontroller and ESP32. The ZigBee network is mainly composed of the CC2530 microcontroller, and the ESPMESH network is composed of ESP32.

[0063] This system combines ESPMESH networking and ZigBee networking, which not only inherits the stability of ZigBee network, but also inherits the advantages of simple ESPMESH network layout. The perception layer of this system adopts the hybrid networking of ZigBee star network and ESP-MESH network to realize the convergence of multi-sensor and multi-terminal data. ZigBee star network is used to collect home environment data, including indoor temperature and humidity, air quality, and home elderly flower and grass planting light monitoring, soil moisture monitoring, etc. The home security monitoring part is mainly fire disaster monitoring, smoke concentration monitoring, etc. Through the ZigBee star network, each sub-node sends data to the coordinator. After the coordinator aggregates the data, it forwards the data to the ESP8266-01SWIFI module through the serial port, and finally forwards the data to the ONENET cloud server through the router using AT commands through the HTTP protocol.

[0064] For the elderly's breathing and sleep monitoring, a 60G breathing and sleep millimeter-wave radar is used to obtain the elderly's heart rate value, heart rate waveform, breathing value, breathing waveform, whether they are in bed, sleep status (awake / light sleep / deep sleep), awake time / light sleep time / deep sleep time, sleep quality score, body movement amplitude parameters, number of turning over, abnormal sleep conditions and abnormal struggles during sleep. These data are sent to ESP32 through the serial port, and ESP32 reports to the MQTT server.

[0065] The service layer subscribes to the relevant radar data from the server through the back-end Flask. All relevant data of the system is saved in the MySQL database through Python scripts for the back-end or front-end to call and display the analysis data. On the Android side, for daily vital sign monitoring of the elderly at home, the MAX30102 blood oxygen heart rate sensor is used to collect blood oxygen, heart rate, body temperature and other data of the elderly. Through an ESP32, the vital sign data is reported to the MQTT server. Android subscribes to the relevant vital sign data from the MQTT server and displays it in real time on the Android side. Use ESP32-CAM to realize the home video monitoring function, establish a Web server, use WebSocket streaming to realize video transmission within the local area network, and view the real-time home video screen on the web page.

[0066] The application layer includes two parts: Web application and Android application. Web application can read data in the database and initiate GET request to the server. At the same time, it can update data asynchronously through Ajax to obtain the latest data, so as to achieve the purpose of hot data update. Android application subscribes to the MQTT server for blood oxygen, heart rate, body temperature and other vital signs data of the elderly and sleep radar related data, and analyzes and displays these data on the Android interface. In the voice control part, this solution integrates the infrared codec module and an STC8-bit microcontroller, and brings out the UART interface for the voice module ASRPRO to call. The final system solution architecture diagram is as follows: Figure 1 shown.

[0067] This solution increases the number of sensors mounted on each node, simplifies the number of nodes, and improves the stability of the sensor network. Secondly, two millimeter-wave radars are added, namely the 60G fall alarm millimeter-wave radar and the 60G breathing and sleep millimeter-wave radar, which can more accurately detect and warn of bathroom falls for the elderly, and process and analyze all the vital signs of the elderly's sleep status and display them to their children and medical staff.

[0068] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent care system for the elderly, It is characterized in that Includes: ZigBee module, ESP-MESH module and cloud server; The ZigBee module is used to monitor the activity trajectory, environmental data and activity-related data in the delimited area through the network node of the ZigBee module, and upload it to the cloud server. The network node of the ZigBee module is composed of multiple sensors set in the delimited area; The ESP-MESH module is used to monitor the sleep quality and physiological data in the sleeping area, the physiological data of daily life, and the fall data when moving in the entire home area through the network nodes of the ESP-MESH module, and upload the monitoring data to the cloud server through the ESP-MESH network; the network nodes of the ESP-MESH module are composed of millimeter-wave radars set in the sleeping area, portable sensors, and millimeter-wave radars set in the entire home area.

2. An intelligent elderly care system as claimed in claim 1, It is characterized in that The elderly intelligent care system also includes: a voice control module; The voice control module is used to convert voice into serial port instructions through the ASRPRO voice module of automatic voice recognition; transmit the serial port instructions to the new programmable infrared codec module for encoding and decoding to obtain packaged infrared remote control instructions, and transmit the infrared remote control instructions to infrared home appliances through a high-power infrared transmitter head for control. The new programmable infrared codec module is integrated with a single-chip microcomputer STC8 and an infrared codec module; transmit the serial port instructions to a six-way relay, and send a control signal through the six-way relay to control the switch of lamps or home appliances.

3. An intelligent elderly care system as claimed in claim 1, It is characterized in that The network nodes of the ZigBee module include: a kitchen node, a bedroom node, a bathroom node, a living room node and a flower garden node; The kitchen node is used to monitor temperature and humidity, flames, harmful gases and activity trajectories, and is composed of multiple sensors set up in the kitchen area; The bedroom node is used to monitor temperature, humidity and activity trajectory, and is composed of multiple sensors set in the bedroom; The bathroom node is used to monitor temperature and humidity, activity trajectory and toilet flushing volume, and is composed of multiple sensors installed in the bathroom; The living room node is used to monitor temperature and humidity, entertainment time, dining time and sedentary behavior, and is composed of multiple sensors set in the living room; The flowerbed node is used to monitor soil moisture and light intensity, and is composed of a plurality of sensors arranged in the flowerbed.

4. An intelligent elderly care system as claimed in claim 1, It is characterized in that The network nodes of the ESP-MESH module include: a breathing and sleeping node, a fall alarm node and a portable sign detection node; The breathing and sleeping node is used to monitor sleep quality and physiological data, and is composed of a millimeter-wave radar installed obliquely 1 meter above the bed surface and at an angle of 45 degrees to the wall and the horizontal plane; The fall alarm node is used to monitor fall data and is composed of multiple millimeter wave radars arranged throughout the house; The portable body sign detection node is used to monitor physiological data of daily life and is composed of a blood oxygen and heart rate sensor mounted on the body.

5. An intelligent elderly care system as claimed in claim 1, It is characterized in that The network node of the ZigBee module monitors the activity track, environmental data and activity-related data in the designated area and uploads them to the cloud server, specifically including: uploading them to the cloud server using AT instructions as a control language through the HTTP protocol.

6. An intelligent elderly care system as claimed in claim 1, It is characterized in that The uploading of the monitoring data to the cloud server specifically includes: reporting to the cloud server via the ESP32 chip for wireless communication.

7. An intelligent elderly care system as claimed in claim 1, It is characterized in that The monitoring of sleep quality and physiological data in the sleeping area specifically includes: monitoring the body's heart rate value, heart rate waveform, breathing value, breathing waveform, whether in bed, sleep state and duration, sleep quality score, body movement amplitude parameters, number of turning over and abnormal sleep conditions.

8. A smart care method for the elderly. It is characterized in that The following steps are involved: Get ZigBee module, ESP-MESH module and cloud server; Monitor activity trajectories, environmental data and activity-related data within a defined area through a network node of a ZigBee module, and upload the data to a cloud server, wherein the network node of the ZigBee module is composed of a plurality of sensors arranged within the defined area; The network nodes of the ESP-MESH module monitor the sleep quality and physiological data in the sleeping area, the physiological data of daily life, and the fall data when moving in the entire home area, and upload the monitoring data to the cloud server through the ESP-MESH network; the network nodes of the ESP-MESH module are composed of millimeter-wave radars set in the sleeping area, portable sensors, and millimeter-wave radars set in the entire home area.

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