Intelligent home control system for old people based on Internet of Things and use method of intelligent home control system

Abstract

The invention discloses an intelligent home control system for old people based on Internet of Things and a use method thereof. The system comprises an interaction control module, an environment monitoring module, a behavior monitoring module, a health monitoring module, a first-aid alarm module, a central control PC and a mobile phone APP terminal. Voice or button operation commands, environment data, behavior data, physiological data and emergency button states of old people are collected, an indoor environment index formula is used for judging the environment level, environment measures are optimized, an indoor daily behavior health index formula is used for judging the daily behavior health level, and improvement suggestions are put forward. And corresponding diagnosis and treatment suggestions are proposed by comparing physiological data with physiological medical judgment standards, and alarm or first-aid measures are started for indoor smoke concentration, indoor natural gas concentration abnormity, accidental tumble and serious physiological abnormity. According to the invention, whole-process supervision, control, alarm and first aid are realized for the indoor living environment, behavior and physiological health of the elderly, and the safety of home life of the elderly living alone is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home, and particularly to an intelligent home control system for the elderly based on the Internet of Things and its usage method. Background Art

[0002] Smart home systems can provide people with a more convenient, comfortable and safe living environment. However, existing smart home systems still have deficiencies in meeting the special needs of the elderly. For example, existing systems may have complex operations, with each device working independently, lacking sufficient coordination and being inconvenient for the elderly to use; the health monitoring of the elderly is not comprehensive and accurate enough; in case of an emergency, it cannot issue an alarm and provide assistance in a timely and effective manner.

[0003] With the development of science and technology, more advanced working methods have emerged in smart home systems. For example, Chinese Patent CN119376270A discloses a smart home system that uses camera image algorithms to identify falling behaviors and sensors to identify the indoor environment. However, the behavior acquisition method using cameras cannot guarantee the privacy of the elderly's life, and there is no effective coordinated supervision of indoor environment, behavior, and physiological data indicators. Therefore, how to effectively guarantee the privacy of the elderly's life and achieve effective coordinated supervision of indoor environment, behavior, and physiological data indicators is an urgent technical problem to be solved. Summary of the Invention

[0004] Aiming at the deficiencies in the background art, the present invention proposes an intelligent home control system for the elderly based on the Internet of Things and its usage method to solve the safety problems of the existing living environment, behavior, and physiological health of the elderly living alone at home.

[0005] To achieve the above object, the technical solutions adopted by the present invention are as follows:

[0006] On the one hand, the present invention provides an intelligent home control system for the elderly based on the Internet of Things,

[0007] including an interactive control module, an environment monitoring module, a behavior monitoring module, a health monitoring module, an emergency alarm module, a central control PC, and a mobile phone APP terminal;

[0008] The interactive control module is connected to the central control PC through a Wi-Fi network, and is used for collecting voice commands or home control button commands in real time and sending them to the central control PC;

[0009] The environmental monitoring module is connected to the central control PC via a Wi-Fi network, and is used to collect indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance and outdoor illuminance data in real time and send them to the central control PC, and receive Wi-Fi control commands sent by the central control PC to control intelligent air conditioners, intelligent air purifiers, intelligent humidifiers, intelligent curtains and intelligent lights;

[0010] The behavior monitoring module is connected to the central control PC via a Wi-Fi network, and is used to collect indoor activity data and sleep data of the elderly in real time and send them to the central control PC;

[0011] The health monitoring module is connected to the central control PC via a Bluetooth network, and is used to collect physiological and medical index data of the elderly in real time, and remind and monitor medication data and send them to the central control PC;

[0012] The first aid alarm module is connected to the central control PC via a Wi-Fi network, and is used to collect the status of the emergency button in real time and send it to the central control PC, and receive control commands sent by the central control PC to control the home oxygen generator;

[0013] The central control PC is connected to the mobile phone APP terminal via the Internet, and is used to receive data from the interaction control module, the environmental monitoring module, the behavior monitoring module, the health monitoring module and the first aid alarm module, determine the indoor environment level according to the indoor environment index formula, and correspondingly adopt optimization environment strategies, analyze the 24h behavior data according to the indoor daily behavior health index formula, determine the daily behavior health level and put forward improvement suggestions, start an alarm for accidental fall information, put forward corresponding diagnosis and treatment suggestions according to the comparison of the physiological data of the elderly in 24h with the physiological and medical judgment criteria, and start alarm and first aid measures for seriously abnormal physiological data, so as to facilitate the guardian to query, monitor and alarm for medical treatment in real time.

[0014] Preferably, the interaction control module includes an ASR voice recognition module, a home control button, an MCU controller and a serial port to Wi-Fi module;

[0015] The ASR voice recognition module is connected to the MCU controller through TTL serial port 1, and is used to recognize the Mandarin or dialect language commands of the elderly and send them to the MCU controller;

[0016] The home control button is connected to the MCU controller through an I / O port, and is used to recognize the action commands of the elderly and send them to the MCU controller;

[0017] The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 2, and is used to receive control commands sent by the ASR speech recognition module and the home control button, and send them to the central control PC in the form of Wi-Fi signals.

[0018] Preferably, the environmental monitoring module includes an indoor temperature sensor, an indoor humidity sensor, an indoor smoke concentration sensor, an indoor natural gas concentration sensor, an indoor CO2 concentration sensor, an indoor dust particle concentration sensor, an indoor illuminance sensor, an outdoor illuminance sensor, an MCU controller, and a serial port to Wi-Fi module;

[0019] The indoor temperature sensor, the indoor humidity sensor, the indoor smoke concentration sensor, the indoor natural gas concentration sensor, the indoor CO2 concentration sensor, the indoor dust particle concentration sensor, the indoor illuminance sensor, and the outdoor illuminance sensor are respectively connected to the MCU controller through the AD port, and are used to receive indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance, and outdoor illuminance signals, and send the signals to the MCU controller through the AD port in the form of 0-10V or 4-20mA;

[0020] The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 1, and is used to receive indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance, and outdoor illuminance signals, and send them to the central control PC in the form of Wi-Fi signals.

[0021] Preferably, the behavior monitoring module includes a millimeter wave radar and a smart mattress;

[0022] The millimeter wave radar is connected to the central control PC through the Wi-Fi network, and is used to collect the position and movement speed of the elderly indoors in real time, and send them to the central control PC;

[0023] The smart mattress is connected to the central control PC through the Wi-Fi network, and is used to collect the indoor sleep data of the elderly in real time, and send them to the central control PC.

[0024] Preferably, the health monitoring module includes a smart bracelet and a smart medicine box;

[0025] The smart bracelet is connected to the central control PC through the Bluetooth network, and is used to collect the body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose, and HRV data of the elderly in real time, and send them to the central control PC;

[0026] The intelligent medicine box is connected to the central control PC via a Bluetooth network, used to remind and monitor medication data and send it to the central control PC.

[0027] Preferably, the first aid alarm module includes an emergency button, an infrared emitter, an MCU controller, a household oxygen generator, and a serial port to Wi-Fi module;

[0028] The emergency button is connected to the MCU controller through an I / O port, used to identify the elderly's distress command and send it to the MCU controller;

[0029] The infrared emitter is connected to the MCU controller through an I / O port, used to simulate the infrared remote control command of the household oxygen generator and control the operation of the household oxygen generator;

[0030] The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 1, used to receive the distress command sent by the emergency button, send it to the central control PC as a Wi-Fi signal, receive the oxygen generation command sent by the central control PC, convert it into the infrared remote control command of the household oxygen generator, and control the operation of the household oxygen generator.

[0031] Preferably, the millimeter-wave radar includes a millimeter-wave radar module, an MCU controller, and a serial port to Wi-Fi module;

[0032] The millimeter-wave radar module is connected to the MCU controller through TTL serial port 1, used to detect the position and movement speed of the elderly in the X, Y, and Z directions indoors in real time, and send them to the MCU controller through the TTL serial port;

[0033] The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 2, used to receive the position and movement speed of the elderly in the X, Y, and Z directions indoors, and send them to the central control PC as a Wi-Fi signal.

[0034] Preferably, the ASR speech recognition module uses the Tianwen ASRPRO speech recognition module, the MCU controller is composed of STM32F103C8T6 and its conditioning circuit, the Wi-Fi module uses ESP8266, the millimeter-wave radar module uses HLK-LD6002C, the intelligent mattress uses the Quantum Huizhi intelligent mattress, the intelligent bracelet uses DIDO F50S, the intelligent medicine box uses the hipaa intelligent medicine box, the household oxygen generator uses Omron Y-511W, the central control PC uses Microsoft Surface Pro 11, the interactive control module, the environment monitoring module, the behavior monitoring module and the first aid alarm module are all compiled and passed using the standard C language in the KeiluVision 5 software, the central control PC is compiled and passed using Python under VS Code, and the mobile phone APP terminal is compiled and passed using the JAVA language under AndroidStudio.

[0035] On the other hand, the present invention provides a usage method of an Internet of Things-based intelligent home control system for the elderly; the method includes the following steps:

[0036] S1. Use Unity3D on the central control PC to build a three-dimensional home mapping model;

[0037] S2. The central control PC obtains indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance and outdoor illuminance data and displays them in real time;

[0038] S3. The central control PC calculates the environmental index according to the indoor environmental index formula and determines the indoor environmental level, and correspondingly adopts an optimized environmental strategy;

[0039] S4. The central control PC compares the outdoor illuminance with the set outdoor illuminance threshold value to control the state of the intelligent curtain;

[0040] S5. The central control PC compares the indoor smoke concentration and the indoor natural gas concentration with the set maximum indoor smoke concentration threshold value and the maximum indoor natural gas concentration threshold value respectively. If the limit is exceeded, the central control PC speaker alarm sound is activated and a pop-up window, voice and vibration are sent to the mobile phone APP terminal, and continuous alarm assistance is sent to the guardian;

[0041] S6. The interactive control module adjusts the states of the intelligent air conditioner, the intelligent air purifier, the intelligent humidifier and the intelligent lamp within the range allowed by the indoor environmental level according to the elderly's Mandarin, dialect or manual operation of the home control button;

[0042] S7. The central control PC obtains the position and moving speed of the elderly in the X, Y, and Z directions indoors and dynamically displays them in real time in the three-dimensional home mapping model, and records the indoor activity duration, indoor sedentary duration, indoor sleep duration and the number of night-time awakenings of the elderly;

[0043] S8. The central control PC calculates and determines the indoor daily behavior health level according to the indoor daily behavior health index formula, and puts forward improvement suggestions;

[0044] S9. The central control PC determines an accidental fall behavior when the moving speed at the same moment is greater than the set maximum threshold and the position in the Z direction is less than the set minimum threshold, activates the horn alarm sound of the central control PC, and sends a pop-up window, voice, and vibration to the mobile APP terminal to continuously alarm and seek help from the guardian;

[0045] S10. The central control PC obtains the medication situation of the elderly, starts the horn prompt sound of the central control PC when it times out, and sends a pop-up window to the mobile APP terminal to inform the guardian;

[0046] S11. The central control PC obtains the body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose, and HRV data of the elderly for 24 hours, and puts forward corresponding diagnosis and treatment suggestions according to the physiological and medical judgment criteria;

[0047] S12. The central control PC starts alarm and first aid measures according to the physiological abnormal data, and continuously alarms the mobile APP terminal with a pop-up window, voice, and vibration, prompting the guardian to query, monitor in real time, and call for medical treatment;

[0048] S13. When environmental, behavioral, and physiological dangers occur, the elderly can press the emergency button, and the central control PC sends a pop-up window, voice, and vibration to the mobile APP terminal to continuously alarm and seek help from the guardian.

[0049] Compared with the prior art, a smart home control system for the elderly based on the Internet of Things and its usage method provided by the present invention have the following beneficial effects:

[0050] (1) Using digital twin technology to simulate the living environment of the elderly, and using millimeter-wave radar to monitor daily behaviors, abandoning the traditional camera monitoring method, which not only ensures the privacy of the elderly's life but also plays a role in safety monitoring;

[0051] (2) Designing a dialect voice control home furnishing method according to the habits of the elderly, and using a button control home furnishing method for aphasic elderly people, improving the convenience of use for the elderly;

[0052] (3) Constructing an indoor environment index formula and an indoor daily behavior index formula to respectively determine the environmental level and daily behavior level, automatically optimizing environmental measures, putting forward improvement suggestions for daily behaviors, and putting forward corresponding diagnosis and treatment suggestions by comparing with the physiological and medical judgment criteria;

[0053] (4) Starting alarm or first aid measures for abnormal indoor smoke concentration, abnormal indoor natural gas concentration, accidental fall, and serious physiological abnormalities;

[0054] It has changed the traditional independent operation or simple network cloud link sharing mode of smart home devices, and unified the management, collaborative work and intelligent services of smart air conditioners, smart air purifiers, smart humidifiers, smart curtains, smart lights, smart mattresses, smart bracelets, smart medicine boxes and home oxygen generators. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in this embodiment, the following will briefly introduce the drawings required for the description of the embodiment. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0056] Figure 1 It is a schematic structural diagram of the elderly smart home control system based on the Internet of Things of the present invention;

[0057] Figure 2 It is a schematic structural diagram of the interactive control module;

[0058] Figure 3 It is a schematic structural diagram of the environment monitoring module;

[0059] Figure 4 It is a schematic structural diagram of the millimeter-wave radar;

[0060] Figure 5 It is a schematic structural diagram of the emergency alarm module;

[0061] Figure 6 It is a working flowchart of the usage method of the elderly smart home control system based on the Internet of Things of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0062] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0063] Embodiment 1: As Figure 1 shown, a smart home control system for the elderly based on the Internet of Things is provided, including an interactive control module, an environment monitoring module, a behavior monitoring module, a health monitoring module, an emergency alarm module, a central control PC and a mobile phone APP terminal;

[0064] Among them, the interactive control module is connected to the central control PC through a Wi-Fi network, and is used to collect voice commands or home control button commands in real time and send them to the central control PC;

[0065] The environmental monitoring module is connected to the central control PC through the Wi-Fi network, and is used to collect indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance and outdoor illuminance data in real time and send them to the central control PC, and receive Wi-Fi control commands sent by the central control PC to control intelligent air conditioners, intelligent air purifiers, intelligent humidifiers, intelligent curtains and intelligent lights;

[0066] The behavior monitoring module is connected to the central control PC through the Wi-Fi network, and is used to collect indoor activity data and sleep data of the elderly in real time and send them to the central control PC;

[0067] The health monitoring module is connected to the central control PC through the Bluetooth network, and is used to collect physiological and medical index data of the elderly in real time, as well as remind and monitor medication data and send them to the central control PC;

[0068] The first aid alarm module is connected to the central control PC through the Wi-Fi network, and is used to collect the status of the emergency button in real time and send it to the central control PC, and receive control commands sent by the central control PC to control the household oxygen generator;

[0069] The central control PC is connected to the mobile APP terminal through the Internet, and is used to receive data from the interactive control module, environmental monitoring module, behavior monitoring module, health monitoring module and first aid alarm module, determine the indoor environment level according to the indoor environment index formula, and take corresponding environment optimization strategies accordingly. Analyze the 24-hour behavior data according to the indoor daily behavior health index formula, determine the daily behavior health level and put forward improvement suggestions, initiate an alarm for accidental fall information, put forward corresponding diagnosis and treatment suggestions according to the comparison of the physiological data of the elderly in 24 hours with the physiological and medical judgment standards, and initiate alarm and first aid measures for seriously abnormal physiological data, which is convenient for the guardian to query, monitor and send the elderly to the hospital in real time.

[0070] The present invention uses an interactive control module, an environmental monitoring module, a behavior monitoring module, a health monitoring module, a first aid alarm module, a central control PC and a mobile APP terminal to implement an Internet of Things-based intelligent home system for the elderly. The system automatically optimizes the home environment by collecting the voice or button operation commands, environmental data, behavior data, physiological data and emergency button status of the elderly, puts forward improvement suggestions for indoor daily behavior and corresponding diagnosis and treatment suggestions, and initiates alarms or first aid measures for abnormal indoor smoke concentration, indoor natural gas concentration, accidental fall, and seriously abnormal physiology, realizing the whole-process supervision in terms of environment, behavior and physiological health, and improving the safety of the home life of the elderly living alone; through design, simulation and verification, a modular product is formed, which can be quickly transplanted between different platforms and accelerate the product development process.

[0071] Specifically, in the first embodiment of the present invention, as Figure 2As shown in the figure, the interaction control module includes an ASR speech recognition module, a home control button, an MCU controller, and a serial-to-Wi-Fi module. Among them, the ASR speech recognition module is connected to the MCU controller through TTL serial port 1, and is used to recognize the Mandarin or dialect language commands of the elderly and send them to the MCU controller. The home control button is connected to the MCU controller through the I / O port, and is used to recognize the action commands of the elderly and send them to the MCU controller. The MCU controller is connected to the serial-to-Wi-Fi module through TTL serial port 2, and is used to receive the control commands sent by the ASR speech recognition module and the home control button, and send them to the central control PC in the form of Wi-Fi signals.

[0072] Specifically, in the first embodiment of the present invention, as Figure 3 As shown in the figure, the environmental monitoring module includes an indoor temperature sensor, an indoor humidity sensor, an indoor smoke concentration sensor, an indoor natural gas concentration sensor, an indoor CO2 concentration sensor, an indoor dust particle concentration sensor, an indoor illuminance sensor, an outdoor illuminance sensor, an MCU controller, and a serial-to-Wi-Fi module. Among them, the indoor temperature sensor, the indoor humidity sensor, the indoor smoke concentration sensor, the indoor natural gas concentration sensor, the indoor CO2 concentration sensor, the indoor dust particle concentration sensor, the indoor illuminance sensor, and the outdoor illuminance sensor are respectively connected to the MCU controller through the AD port, and are used to receive the indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance, and outdoor illuminance signals, and send the signals to the MCU controller through the AD port in the form of 0-10V or 4-20mA. The MCU controller is connected to the serial-to-Wi-Fi module through TTL serial port 1, and is used to receive the indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance, and outdoor illuminance signals, and send them to the central control PC in the form of Wi-Fi signals.

[0073] Specifically, in the first embodiment of the present invention, as Figure 1 As shown in the figure, the behavior monitoring module includes a millimeter-wave radar and a smart mattress. Among them, the millimeter-wave radar is connected to the central control PC through the Wi-Fi network, and is used to collect the position and movement speed of the elderly in the room in real time and send them to the central control PC. The smart mattress is connected to the central control PC through the Wi-Fi network, and is used to collect the indoor sleep data of the elderly in real time and send them to the central control PC.

[0074] Specifically, in the first embodiment of the present invention, as Figure 1As shown, the health monitoring module includes a smart bracelet and a smart medicine box; among them, the smart bracelet is connected to the central control PC through a Bluetooth network, and is used to collect the body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose, and HRV data of the elderly in real time, and send them to the central control PC; the smart medicine box is connected to the central control PC through a Bluetooth network, and is used to remind and monitor the medication data and send it to the central control PC.

[0075] Specifically, in the first embodiment of the present invention, as Figure 5 shown, the first aid alarm module includes an emergency button, an infrared emitter, an MCU controller, a household oxygen generator, and a serial port to Wi-Fi module; among them, the emergency button is connected to the MCU controller through an I / O port, and is used to identify the elderly person's distress command and send it to the MCU controller; the infrared emitter is connected to the MCU controller through an I / O port, and is used to simulate the infrared remote control command of the household oxygen generator and control the operation of the household oxygen generator; the MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 1, and is used to receive the distress command sent by the emergency button, and send it to the central control PC as a Wi-Fi signal, receive the oxygen generation command sent by the central control PC and convert it into an infrared remote control command of the household oxygen generator, and control the operation of the household oxygen generator.

[0076] More specifically, in the first embodiment of the present invention, as Figure 4 shown, the millimeter-wave radar includes a millimeter-wave radar module, an MCU controller, and a serial port to Wi-Fi module; among them, the millimeter-wave radar module is connected to the MCU controller through TTL serial port 1, and is used to detect the position and moving speed of the elderly in the X, Y, and Z directions in the room in real time, and send them to the MCU controller through the TTL serial port; the MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 2, and is used to receive the position and moving speed of the elderly in the X, Y, and Z directions in the room, and send them to the central control PC as a Wi-Fi signal.

[0077] Specifically, in the first embodiment of the present invention, the ASR speech recognition module uses the Tianwen ASRPRO speech recognition module. The MCU controller consists of STM32F103C8T6 and its conditioning circuit. The Wi-Fi module uses ESP8266. The millimeter-wave radar module uses HLK-LD6002C. The smart mattress uses the Quantum Huizhi smart mattress. The smart bracelet uses DIDO F50S. The smart medicine box uses the hipaa smart medicine box. The household oxygen generator uses Omron Y-511W. The central control PC uses Microsoft Surface Pro 11. The interactive control module, environment monitoring module, behavior monitoring module, and first aid alarm module are all compiled and passed using the standard C language in the Keil uVision 5 software. The central control PC is compiled and passed using Python under VS Code. The mobile APP terminal is compiled and passed using the JAVA language under Android Studio.

[0078] Specifically, in the first embodiment of the present invention, a smart home control system for the elderly based on the Internet of Things is provided. An interactive control module, an environment monitoring module, a behavior monitoring module, a health monitoring module, a first aid alarm module, a central control PC, and a mobile APP terminal are used to implement a smart home control system for the elderly based on the Internet of Things. The system collects the voice or button operation commands, environment data, behavior data, physiological data, and emergency button status of the elderly, automatically optimizes the home environment, provides suggestions for improving daily indoor behaviors and corresponding medical treatment suggestions, and initiates alarms or first aid measures for abnormal indoor smoke concentration, abnormal indoor natural gas concentration, accidental falls, and serious physiological abnormalities, realizing the whole-process supervision in terms of environment, behavior, and physiological health, and improving the safety of the home life of the elderly living alone. Through design, simulation, and verification, modular products are formed, which can be quickly transplanted between different platforms, accelerating the product development process.

[0079] Embodiment 2: A usage method of a smart home control system for the elderly based on the Internet of Things is provided. Specifically, the smart home control system for the elderly based on the Internet of Things in the first embodiment as described above is adopted, and it specifically includes the following steps:

[0080] S1. Use Unity3D on the central control PC to build a three-dimensional home mapping model;

[0081] S2. The central control PC obtains the indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance, and outdoor illuminance data and displays them in real time;

[0082] S3. The central control PC calculates the environment index according to the indoor environment index formula and determines the indoor environment level, and correspondingly adopts environment optimization strategies;

[0083] S4. The central control PC compares the outdoor illuminance with the set outdoor illuminance threshold value to control the state of the intelligent curtain;

[0084] S5. The central control PC compares the indoor smoke concentration and indoor natural gas concentration with the set maximum indoor smoke concentration threshold value and maximum indoor natural gas concentration threshold value respectively. If it exceeds the limit, the central control PC horn alarm sound is started, and a pop-up window, voice, and vibration are sent to the mobile APP terminal to continuously alarm and seek help from the guardian;

[0085] S6. The interactive control module adjusts the states of the intelligent air conditioner, intelligent air purifier, intelligent humidifier, and intelligent lamp within the range allowed by the indoor environment level according to the elderly's Mandarin, dialect, or manual operation of the home control button;

[0086] S7. The central control PC obtains the positions and moving speeds of the elderly in the X, Y, and Z directions indoors and dynamically displays them in real time in the three-dimensional home mapping model, records the indoor activity duration, indoor sedentary duration, indoor sleep duration, and the number of nocturia of the elderly;

[0087] S8. The central control PC calculates and determines the indoor daily behavior health level according to the indoor daily behavior health index formula and puts forward improvement suggestions;

[0088] S9. The central control PC determines an accidental fall behavior based on the moving speed at the same moment being greater than the set maximum threshold value and the position in the Z direction being less than the set minimum threshold value, starts the central control PC horn alarm sound, and sends a pop-up window, voice, and vibration to the mobile APP terminal to continuously alarm and seek help from the guardian;

[0089] S10. The central control PC obtains the medication situation of the elderly, starts the central control PC horn prompt sound when it times out, and sends a pop-up window to the mobile APP terminal to inform the guardian;

[0090] S11. The central control PC obtains the body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose, and HRV data of the elderly for 24 hours, and puts forward corresponding diagnosis and treatment suggestions according to the physiological and medical judgment criteria;

[0091] S12. The central control PC starts alarm and first aid measures according to the physiological abnormal data, and continuously alarms through a pop-up window, voice, and vibration to the mobile APP terminal, prompting the guardian to query, monitor, and alarm and send the elderly to the hospital in real time;

[0092] S13. When environmental, behavioral, and physiological dangers occur, the elderly can press the emergency button, and the central control PC sends a pop-up window, voice, and vibration to the mobile APP terminal to continuously alarm and seek help from the guardian.

[0093] Specifically, in step S3, the indoor environment index formula is as follows:

[0094]

[0095] Among them, T h represents the indoor temperature, with the unit of °C; H represents the indoor humidity, with the unit of %; C represents the indoor CO2 concentration, with the unit of ppm; L n represents the indoor illuminance, with the unit of lux, and PM represents the indoor dust particle concentration, with the unit of μg / m 3 .

[0096] Specifically, in step S3, the indoor environment level refers to that the environmental index in the interval (0.90, 1] is defined as excellent, the environmental index in the interval [0.75, 0.90) is defined as good, the environmental index in the interval [0.60, 0.75) is defined as heavy, and the remaining intervals are defined as poor.

[0097] Specifically, in step S3, the optimized environmental strategy means that when the actual environmental index does not fall within the excellent level range, by comparing the actual indoor temperature, indoor humidity, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance with the set optimal indoor temperature, optimal indoor humidity, optimal indoor CO2 concentration, optimal indoor dust particle concentration, optimal indoor illuminance, controlling and adjusting the intelligent air conditioner, intelligent air purifier, intelligent humidifier and intelligent lamp to make the indoor environment level reach the excellent level strategy.

[0098] Specifically, in step S6, the allowable range of the indoor environment level refers to the range where the indoor environment level is excellent.

[0099] Specifically, in step S8, the formula for the indoor daily behavior health index is as follows:

[0100] H e = 0.3×S a + 0.4×S t + 0.2×S p + 0.1×S n (2)

[0101] Among them, T a represents the indoor activity duration, with the unit of h; T s represents the indoor sedentary duration, with the unit of h; T p represents the indoor sleep duration, with the unit of h; N represents the number of night-time awakenings.

[0102] Specifically, in step S8, the indoor daily behavior health level refers to that the indoor daily behavior health index in the interval (0.90, 1] is defined as healthy, the indoor daily behavior health index in the interval [0.75, 0.90) is defined as a mild risk, the indoor daily behavior health index in the interval [0.60, 0.75) is defined as a moderate risk, and the remaining intervals are defined as a severe risk.

[0103] Specifically, in step S11, the physiological and medical judgment criteria refer to that the body temperature is between 36 - 37.3 °C, the heart rate is between 60 - 80 beats / min, the ECG <= 1 time / day, the blood oxygen saturation >= 95%, the SBP is between 90 - 139 mmHg, the blood glucose is between 3.9 - 6.1 mmol / L, and the HRV is between 10 - 25 ms, which belong to the normal range.

[0104] Specifically, in step S12, the physiological abnormal data refers to that the actual body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose, and HRV data exceed the limit thresholds of the body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose, and HRV set in the central control PC.

[0105] Specifically, in step S12, starting the alarm and first aid measures means starting the first aid measures of the household oxygen generator when the heart rate > 100 beats / min or the blood oxygen saturation < 95%.

[0106] Specifically, as Figure 6 shown, the usage method of the Internet of Things-based intelligent home control system for the elderly provided by the present invention is specifically as follows: 1) Construct a three-dimensional home mapping model; 2) Obtain indoor environmental data and display it in real time; 3) Calculate the environmental index according to the indoor environmental index formula and determine the indoor environmental level, and correspondingly adopt an optimized environmental strategy; 4) Control the state of the intelligent curtain according to the comparison between the outdoor illuminance and the set outdoor illuminance threshold; 5) Compare the indoor smoke concentration and the indoor natural gas concentration with the set maximum thresholds of the indoor smoke concentration and the indoor natural gas concentration respectively. If it exceeds the limit, start the alarm; 6) Adjust the intelligent home devices within the range allowed by the indoor environmental level according to the common language, dialect of the elderly or manually operating the home control button; 7) Obtain the indoor movement data of the elderly; 8) Calculate and determine the indoor daily behavior health level according to the indoor daily behavior health index formula, and put forward improvement suggestions; 9) Determine the accidental fall behavior according to that the moving speed at the same moment is greater than the set maximum threshold and the position in the Z direction is less than the set minimum threshold, and start the alarm; 10) Obtain the medication situation of the elderly, and start the horn prompt sound of the central control PC when it times out; 11) Obtain the physiological and medical data of the elderly, and put forward corresponding diagnosis and treatment suggestions according to the physiological and medical judgment criteria; 12) Start the alarm and first aid measures according to the physiological abnormal data, and send a pop-up window, voice, and continuous vibration alarm to the mobile phone APP terminal to prompt the guardian to query, monitor, and call for medical treatment; 13) Under the conditions considered dangerous by the elderly, the elderly can press the emergency button to send a pop-up window, voice, and vibration to the mobile phone APP terminal, and continue to alarm and seek help from the guardian.

[0107] Finally, it should be noted that the above are only embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. An intelligent home control system for the elderly based on the Internet of Things, characterized in that: It includes an interactive control module, an environment monitoring module, a behavior monitoring module, a health monitoring module, a first aid alarm module, a central control PC, and a mobile phone APP terminal; The interactive control module is connected to the central control PC through a Wi-Fi network, and is used to collect voice commands or home control button commands in real time and send them to the central control PC; The environment monitoring module is connected to the central control PC through a Wi-Fi network, and is used to collect indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance, and outdoor illuminance data in real time and send them to the central control PC, and receive Wi-Fi control commands sent by the central control PC to control intelligent air conditioners, intelligent air purifiers, intelligent humidifiers, intelligent curtains, and intelligent lights; The behavior monitoring module is connected to the central control PC through a Wi-Fi network, and is used to collect indoor activity data and sleep data of the elderly in real time and send them to the central control PC; The health monitoring module is connected to the central control PC through a Bluetooth network, and is used to collect physiological and medical index data of the elderly in real time, and remind and monitor medication data and send them to the central control PC; The first aid alarm module is connected to the central control PC through a Wi-Fi network, and is used to collect the status of the emergency button in real time and send it to the central control PC, and receive control commands sent by the central control PC to control the household oxygen generator; The central control PC is connected to the mobile phone APP terminal through the Internet, and is used to receive data from the interactive control module, the environment monitoring module, the behavior monitoring module, the health monitoring module, and the first aid alarm module, determine the indoor environment level according to the indoor environment index formula, adopt corresponding environment optimization strategies, analyze the 24-hour behavior data according to the indoor daily behavior health index formula, determine the daily behavior health level and put forward improvement suggestions, initiate an alarm for accidental fall information, put forward corresponding diagnosis and treatment suggestions according to the 24-hour physiological data of the elderly compared with the physiological and medical judgment criteria, initiate alarm and first aid measures for seriously abnormal physiological data, and facilitate real-time query, monitoring, and alarm for medical treatment by the guardian.

2. The elderly smart home control system based on the Internet of Things according to claim 1, characterized in that: The interactive control module includes an ASR voice recognition module, a home control button, an MCU controller, and a serial port to Wi-Fi module; The ASR voice recognition module is connected to the MCU controller through TTL serial port 1, and is used to recognize the Mandarin or dialect language commands of the elderly and send them to the MCU controller; The home control button is connected to the MCU controller through an I / O port, and is used to recognize the action commands of the elderly and send them to the MCU controller; The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 2, and is used to receive the control commands sent by the ASR voice recognition module and the home control button, and send them to the central control PC in the form of Wi-Fi signals.

3. The elderly smart home control system based on the Internet of Things according to claim 1, characterized in that: The environmental monitoring module includes an indoor temperature sensor, an indoor humidity sensor, an indoor smoke concentration sensor, an indoor natural gas concentration sensor, an indoor CO2 concentration sensor, an indoor dust particle concentration sensor, an indoor light intensity sensor, an outdoor light intensity sensor, an MCU controller and a serial port to Wi-Fi module; The indoor temperature sensor, the indoor humidity sensor, the indoor smoke concentration sensor, the indoor natural gas concentration sensor, the indoor CO2 concentration sensor, the indoor dust particle concentration sensor, the indoor light intensity sensor and the outdoor light intensity sensor are respectively connected to the MCU controller through the AD port, and are used to receive indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor light intensity and outdoor light intensity signals, and send the signals to the MCU controller via the AD port at 0-10V or 4-20mA; The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 1, and is used to receive indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor light intensity and outdoor light intensity signals, and send them to the central control PC via Wi-Fi signals.

4. The elderly smart home control system based on the Internet of Things according to claim 1, characterized in that: The behavior monitoring module includes a millimeter wave radar and a smart mattress; The millimeter wave radar is connected to the central control PC via a Wi-Fi network to collect the indoor position and movement speed of the elderly in real time and send them to the central control PC; The smart mattress is connected to the central control PC via a Wi-Fi network to collect indoor sleep data of the elderly in real time and send it to the central control PC.

5. The elderly smart home control system based on the Internet of Things according to claim 1, characterized in that: The health monitoring module includes a smart bracelet and a smart medicine box; The smart bracelet is connected to the central control PC via a Bluetooth network to collect the elderly's body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood sugar and HRV data in real time and send them to the central control PC; The smart medicine box is connected to the central control PC via a Bluetooth network to remind and monitor medication data and send the data to the central control PC.

6. The elderly smart home control system based on the Internet of Things according to claim 1, characterized in that: The emergency alarm module includes an emergency button, an infrared transmitting tube, an MCU controller, a household oxygen concentrator and a serial port to Wi-Fi module; The emergency button is connected to the MCU controller via an I / O port, and is used to identify the elderly person's help command and send it to the MCU controller; The infrared transmitting tube is connected to the MCU controller through an I / O port, and is used to simulate the infrared remote control command of the household oxygen concentrator and control the operation of the household oxygen concentrator; The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 1, and is used to receive the distress command sent by the emergency button, and send it to the central control PC via a Wi-Fi signal, receive the oxygen production command sent by the central control PC and convert it into an infrared remote control command of the home oxygen concentrator, and control the operation of the home oxygen concentrator.

7. The elderly smart home control system based on the Internet of Things according to claim 4, characterized in that: The millimeter wave radar includes a millimeter wave radar module, an MCU controller and a serial port to Wi-Fi module; The millimeter-wave radar module is connected to the MCU controller through TTL serial port 1, and is used to detect the position and moving speed of the elderly in the indoor X, Y, and Z directions in real time, and send them to the MCU controller through the TTL serial port; The MCU controller is connected to the serial port to Wi-Fi module through TTL serial port 2, and is used to receive the position and moving speed of the elderly in the indoor X, Y, and Z directions, and send them to the central control PC in the form of Wi-Fi signals.

8. A method for using an Internet of Things-based smart home control system for the elderly according to any one of claims 1-7, characterized in that, It includes the following steps: S1. Use Unity3D on the central control PC to build a three-dimensional home mapping model; S2. The central control PC obtains indoor temperature, indoor humidity, indoor smoke concentration, indoor natural gas concentration, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance and outdoor illuminance data and displays them in real time; S3. The central control PC calculates the environmental index according to the indoor environmental index formula and determines the indoor environmental level, and correspondingly adopts an optimized environment strategy; S4. The central control PC compares the outdoor illuminance with the set outdoor illuminance threshold to control the state of the intelligent curtain; S5. The central control PC compares the indoor smoke concentration and indoor natural gas concentration with the set maximum indoor smoke concentration threshold and maximum indoor natural gas concentration threshold respectively. If it exceeds the limit, the central control PC horn alarm sound is started and a pop-up window, voice and vibration are sent to the mobile APP terminal to continuously alarm and seek help from the guardian; S6. The interactive control module adjusts the states of the intelligent air conditioner, intelligent air purifier, intelligent humidifier and intelligent lamp within the range allowed by the indoor environmental level according to the Mandarin, dialect of the elderly or manually operating the home control button; S7. The central control PC obtains the position and moving speed of the elderly in the indoor X, Y, and Z directions and dynamically displays them in real time in the three-dimensional home mapping model, and records the indoor activity duration, indoor sedentary duration, indoor sleep duration and the number of getting up at night of the elderly; S8. The central control PC calculates and determines the indoor daily behavior health level according to the indoor daily behavior health index formula, and puts forward improvement suggestions; S9. The central control PC determines an accidental fall behavior according to the moving speed at the same moment being greater than the set maximum threshold and the position in the Z direction being less than the set minimum threshold, starts the central control PC horn alarm sound and sends a pop-up window, voice and vibration to the mobile APP terminal to continuously alarm and seek help from the guardian; S10. The central control PC obtains the medication situation of the elderly, starts the central control PC horn prompt sound when it times out, and sends a pop-up window to the mobile APP terminal to inform the guardian; S11. The central control PC obtains the body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose and HRV data of the elderly for 24 hours, and puts forward corresponding diagnosis and treatment suggestions according to the physiological and medical judgment criteria; S12. The central control PC starts alarm and first aid measures according to the physiological abnormal data, and continuously alarms the mobile APP terminal with a pop-up window, voice and vibration, prompting the guardian to query, monitor and alarm and send to the hospital in real time; S13. In case of environmental, behavioral, and physiological dangers, the elderly can press the emergency button to send a pop-up window, voice and vibration to the mobile APP terminal by the central control PC to continuously alarm and seek help from the guardian.

9. The usage method of an elderly smart home control system based on the Internet of Things according to claim 8, characterized in that, In step S3: The specific indoor environmental index formula is as follows: Among them, T h represents the indoor temperature, with the unit of °C; H represents the indoor humidity, with the unit of %; C represents the indoor CO2 concentration, with the unit of ppm; L n represents the indoor illuminance, with the unit of lux, and PM represents the indoor dust particle concentration, with the unit of μg / m 3 ; The indoor environmental grade refers to that the environmental index in the interval (0.90, 1] is defined as excellent, the environmental index in the interval [0.75, 0.90) is defined as good, the environmental index in the interval [0.60, 0.75) is defined as heavy, and the remaining intervals are defined as poor; The optimized environmental strategy refers to the strategy of controlling and adjusting the intelligent air conditioner, intelligent air purifier, intelligent humidifier and intelligent lamp to make the indoor environmental grade reach the excellent grade by comparing the actual indoor temperature, indoor humidity, indoor CO2 concentration, indoor dust particle concentration, indoor illuminance with the set optimal indoor temperature, optimal indoor humidity, optimal indoor CO2 concentration, optimal indoor dust particle concentration, optimal indoor illuminance when the actual environmental index does not belong to the excellent grade range.

10. The usage method of an elderly smart home control system based on the Internet of Things according to claim 8, characterized in that, In step S6, the allowable range of the indoor environmental grade refers to the range where the indoor environmental grade is excellent.

11. The usage method of an elderly smart home control system based on the Internet of Things according to claim 8, characterized in that, In step S8: The formula for the indoor daily behavior health index is specifically as follows: H e = 0.3 × S a + 0.4 × S t + 0.2 × S p + 0.1 × S n (2) Among them, T a represents the indoor activity duration, with the unit of h; T s represents the indoor sedentary duration, with the unit of h; T p represents the indoor sleep duration, with the unit of h; N represents the number of night-time awakenings; The indoor daily behavior health grade refers to that the indoor daily behavior health index in the interval (0.90, 1] is defined as healthy, the indoor daily behavior health index in the interval [0.75, 0.90) is defined as mild risk, the indoor daily behavior health index in the interval [0.60, 0.75) is defined as moderate risk, and the remaining intervals are defined as severe risk.

12. The usage method of an elderly smart home control system based on the Internet of Things according to claim 8, characterized in that, In step S11: The physiological and medical judgment criteria refer to that the body temperature is 36 - 37.3 °C, the heart rate is 60 - 80 beats / min, ECG <= 1 time / day, the blood oxygen saturation >= 95%, SBP is 90 - 139 mmHg, the blood glucose is 3.9 - 6.1 mmol / L, and HRV is 10 - 25 ms, which belong to the normal range.

13. The usage method of an elderly smart home control system based on the Internet of Things according to claim 8, characterized in that, In step S12: The physiological abnormal data refer to that the actual body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose and HRV data exceed the limit thresholds of the body temperature, heart rate, ECG, blood oxygen saturation, SBP, blood glucose and HRV set in the central control PC; The measure of starting the alarm and first aid refers to the measure of starting the household oxygen generator for first aid when the heart rate > 100 beats / min or the blood oxygen saturation < 95%.

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