A whole-house life perception monitoring and analysis system for elderly people living alone

Abstract

The present invention relates to the field of smart home technology, and discloses a whole-house life perception monitoring and analysis system for elderly people living alone, including a user terminal and a monitoring platform, the monitoring platform including a life perception monitoring module, an abnormality assessment module and an alarm module, the life perception monitoring module including a control unit, a behavior monitoring unit, a position monitoring unit, and a body monitoring unit, the control unit connects multiple groups of sensors through a network to control the area, the behavior monitoring unit is used to obtain a behavior data set, the position monitoring unit is used to obtain a position data set, the body monitoring unit is used to obtain a body data set, the abnormality assessment module performs abnormality assessment according to the received data, and sends a signal to the alarm module when an abnormality is found in the assessment, and the alarm module receives the signal and issues an alarm. Through multiple cross-judgments, all-round and refined monitoring and intelligent response to the living environment, vital signs, daily behavior and health management of elderly people living alone are realized.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to a whole-house life perception monitoring and analysis system for elderly people living alone. Background Art

[0002] In today's era, society is developing rapidly, people's living standards have improved significantly, and at the same time, the population structure is also undergoing profound changes. The aging process continues to accelerate, and the size of the elderly population is becoming increasingly large. Along with this, more and more people who need long-term care are gradually coming into the public eye. This group not only includes elderly people living alone who are frail, but also people who cannot take care of themselves completely due to various chronic diseases, physical disabilities, etc. With the increasing demand for home health care in society, especially for the elderly and those who need long-term care, higher requirements are put forward for intelligent and personalized home health care services.

[0003] The present invention aims to design and implement a whole-house life sensing system tailored for elderly people living alone. By integrating the Internet of Things, big data, artificial intelligence, cloud computing and edge computing technologies, it can realize all-round and refined monitoring and intelligent response of the life sensing behavior of elderly people living alone. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the shortcomings of the prior art, the present invention provides a whole-house life perception monitoring and analysis system for elderly people living alone, which has the advantages of realizing all-round and refined monitoring and intelligent response to the home environment, vital signs, daily behavior and health management of elderly people living alone through cross-judgment and multiple judgments, which not only improves the safety, accuracy and timeliness of elderly people living at home, but also enables them to be discovered by their guardians or guardianship organizations in emergency situations, so as to obtain immediate rescue or help, etc.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solutions: a whole-house life perception monitoring and analysis system for elderly people living alone, comprising a user terminal and a monitoring platform, wherein the user terminal is used for the user to interact with the system and is connected to the monitoring platform through a network;

[0008] The monitoring platform includes a life perception monitoring module, an abnormality assessment module and an alarm module. The life perception monitoring module includes a control unit, a behavior monitoring unit, a position monitoring unit and a body monitoring unit. The control unit is respectively connected to the behavior monitoring unit, the position monitoring unit and the body monitoring unit through a network. The behavior monitoring unit is used to obtain the behavior data of the elderly living alone and form a behavior data set with multiple data. The position monitoring unit is used to obtain the position data of the elderly living alone and form a position data set with multiple position data. The body monitoring unit is used to obtain the body data of the elderly living alone and form a body data set with multiple body data. The life perception monitoring module is connected to the abnormality assessment module through a network.

[0009] The abnormality assessment module performs abnormality assessment based on the received data, and sends a signal to the alarm module if there is an abnormality in the assessment;

[0010] The alarm module issues an alarm upon receiving the signal.

[0011] Preferably, the user terminal includes a PC browser, a mobile phone applet, and a smart terminal APP.

[0012] Preferably, the control unit controls the area by connecting multiple groups of sensors through a network, and the multiple groups of sensors include multiple groups of millimeter wave radar sensors, multiple groups of infrared thermal imaging sensors, and multiple groups of smart cameras;

[0013] The multiple millimeter wave radar sensors are respectively installed in the center of the living room, the corners of the bedroom, the corridor, and the aisle, and detect human body movements by transmitting and receiving radio waves;

[0014] The multiple infrared thermal imaging sensors are respectively installed in the center of the living room, the corner of the bedroom, the head of the bed, and the side of the bed to generate a temperature distribution image by measuring the infrared radiation on the surface of the human body;

[0015] The multiple smart cameras are respectively installed in the center of the living room, the corners of the bedroom, at the door and the window, and the behavior and activities of the elderly living alone are monitored in real time through image recognition technology.

[0016] Preferably, the expression of the behavior data set is: in, Represents the first behavior data, represents the last behavior data, n represents that there are n monitored behavior data in total, k represents the monitoring equipment for monitoring the behavior data, specifically millimeter-wave radar sensors and smart cameras, and the behavior data specifically refers to the speed data of the elderly living alone monitored by millimeter-wave radar sensors and smart cameras.

[0017] Preferably, the expression of the position data set is: in, Represents the first position data, represents the last location data, n represents that there are n monitored location data in total, s represents the monitoring device for monitoring the location data, specifically a smart camera, and the location data specifically refers to the location data of elderly people living alone monitored by the smart camera.

[0018] Preferably, the expression of the body data set is: in, Represents the first body data, represents the last body data, n represents the total number of monitored body data being n, and h represents the monitoring device for monitoring body data, specifically an infrared thermal imaging sensor.

[0019] Preferably, the abnormality assessment includes human behavior abnormality assessment, human position abnormality assessment, and human temperature abnormality value assessment, and the calculation formula for the human behavior abnormality assessment is:

[0020]

[0021] In the calculation formula, XWyc represents the abnormal evaluation value of human behavior, XWsj i represents the i-th behavior data, XWsj max +XW max-1 +XW max-2 +···+XWsj max-4 Represents the total value of the 5 largest movement data in the behavior dataset. Represents the mean of the five largest movement data in the behavior dataset.

[0022] Preferably, the calculation formula for evaluating the abnormal position of the human body is:

[0023]

[0024] In the calculation formula, WZyc represents the human position abnormality assessment value, wqyc represents the dangerous area abnormality value in the human position abnormality assessment, V represents the number of times the dangerous area is identified, and h w represents the camera in a specific dangerous area, wwyc represents the position anomaly value in the human position anomaly assessment, Represents the human body position information captured by the last camera. Represents the human position information captured by the camera before the last camera.

[0025] Preferably, the calculation formula for evaluating the abnormal value of human body temperature is:

[0026]

[0027] In the calculation formula, RTwd represents the abnormal value of human body temperature. Represents the lowest normal human body temperature. Represents the normal maximum temperature of the human body. It means that when the human body temperature is lower than the normal minimum human body temperature or when the human body temperature is higher than the normal maximum human body temperature, it is determined that the human body temperature is abnormal.

[0028] Preferably, when the human behavior abnormality assessment value is greater than the human behavior abnormality threshold, it means that there is abnormality in human behavior, and the elderly living alone may fall;

[0029] When the danger zone abnormality value in the human position abnormality assessment value is greater than the danger zone abnormality threshold, it means that there is an abnormal situation that an elderly person living alone frequently enters and exits the danger zone. When the position abnormality value is greater than the position threshold, it means that there is an abnormal situation that an elderly person living alone leaves home.

[0030] Compared with the prior art, the present invention provides a whole-house life perception monitoring and analysis system for elderly people living alone, which has the following beneficial effects:

[0031] 1. Through the PC browser, the present invention allows users to intuitively see the real-time status of the entire house of the elderly living alone, including data collected by various sensors. These data are presented through a graphical interface to help users quickly understand the living conditions and potential risks of the elderly living alone. Users can view the real-time status of the elderly living alone anytime and anywhere through the mobile app. The applet provides a concise and clear interface and a convenient operation method, so that users can keep abreast of the latest developments of the elderly living alone and take corresponding measures when necessary. The smart terminal APP not only provides real-time data viewing functions, but also supports historical data analysis, abnormal alarm push and other functions. Users can receive early warning information issued by the system through the APP and take timely measures to ensure the safety of the elderly living alone.

[0032] 2. The present invention can timely detect abnormal situations, such as falling, getting lost, etc., by real-time monitoring and analyzing the behavior of elderly people living alone, so as to quickly take countermeasures to ensure the safety of elderly people living alone. This efficient monitoring method can reduce the workload of nursing staff and improve care efficiency. Monitoring the body temperature of elderly people living alone can help to timely detect potential health problems, such as fever, so as to achieve early intervention and treatment. This intelligent means of evaluating and managing elderly people living alone can promote the effective combination of medical resources and elderly care services, realize resource sharing and optimal allocation, and reduce medical expenses and nursing costs caused by accidents or health problems, thereby reducing the economic burden on families and society. At the same time, this also helps to improve the quality of life and social participation of elderly people living alone. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the structural system of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] See also Figure 1 , a whole-house life perception monitoring and analysis system for elderly people living alone, including a user terminal and a monitoring platform, wherein the user terminal is used for the user to interact with the system and is connected to the monitoring platform through a network;

[0036] User terminals include PC browsers, mobile applets, and smart terminal apps;

[0037] Through the PC browser, users can intuitively see the real-time status of the entire house of elderly people living alone, including data collected by various sensors. These data are presented through a graphical interface to help users quickly understand the living conditions and potential risks of elderly people living alone. Users can view the real-time status of elderly people living alone anytime and anywhere through the mobile app. The app provides a simple and clear interface and convenient operation method, allowing users to keep abreast of the latest developments of elderly people living alone and take corresponding measures when necessary. The smart terminal APP not only provides real-time data viewing functions, but also supports historical data analysis, abnormal alarm push and other functions. Users can receive early warning information issued by the system through the APP and take timely measures to ensure the safety of elderly people living alone;

[0038] The monitoring platform includes a life perception monitoring module, an abnormality assessment module and an alarm module. The life perception monitoring module includes a control unit, a behavior monitoring unit, a position monitoring unit and a body monitoring unit. The control unit is connected to the behavior monitoring unit, the position monitoring unit and the body monitoring unit through a network respectively. The behavior monitoring unit is used to obtain the behavior data of the elderly living alone and form a behavior data set with multiple data. The position monitoring unit is used to obtain the position data of the elderly living alone and form a position data set with multiple position data. The body monitoring unit is used to obtain the body data of the elderly living alone and form a body data set with multiple body data. The life perception monitoring module is connected to the abnormality assessment module through a network.

[0039] The control unit controls the area by connecting multiple sets of sensors through the network. The multiple sets of sensors include multiple sets of millimeter wave radar sensors, multiple sets of infrared thermal imaging sensors, and multiple sets of smart cameras.

[0040] Multiple millimeter-wave radar sensors are installed in the center of the living room, bedroom corners, corridors, and aisles to detect human movement by transmitting and receiving radio waves;

[0041] Multiple infrared thermal imaging sensors are installed in the center of the living room, in the corners of the bedroom, at the head of the bed, and beside the bed. They generate temperature distribution images by measuring infrared radiation on the human body surface.

[0042] Multiple smart cameras are installed in the center of the living room, bedroom corners, doorways and windows to monitor the behavior of elderly people living alone in real time through image recognition technology;

[0043] The expression of the behavior dataset is: in, Represents the first behavior data, represents the last behavior data, n represents the total number of monitored behavior data, k represents the monitoring device for monitoring behavior data, specifically millimeter-wave radar sensors and smart cameras, and the behavior data specifically refers to the speed data of the elderly living alone monitored by the millimeter-wave radar sensors and smart cameras;

[0044] The combination of millimeter-wave radar sensors and smart cameras in the evaluation of abnormal human behavior has significantly improved the safety and reliability of the system. This combination takes advantage of the complementary advantages of the two sensors, making the monitoring system more comprehensive and accurate. Millimeter-wave radar sensors can accurately measure the distance, speed and angle of the target, and distinguish between people and non-human objects. This high-precision monitoring capability enables the system to quickly identify abnormal behavior. At the same time, millimeter-wave radar is not affected by external environmental factors such as light, heat, fog, smoke, and dust, and has strong anti-interference ability and good environmental adaptability. These characteristics enable millimeter-wave radar to work stably in various complex environments, providing reliable data support for the evaluation of abnormal human behavior;

[0045] The expression for the location dataset is: in, Represents the first position data, represents the last location data, n represents the total number of monitored location data, s represents the monitoring device for the monitored location data, specifically a smart camera, and the location data specifically refers to the location data of the elderly living alone monitored by the smart camera;

[0046] Smart cameras can capture and transmit video data in real time, allowing users to understand the situation of the monitored area anytime and anywhere;

[0047] The expression for the body dataset is: in, Represents the first body data, represents the last body data, n represents the total number of monitored body data, and h represents the monitoring device for monitoring body data, specifically an infrared thermal imaging sensor;

[0048] Infrared thermal imaging technology can achieve long-distance, non-contact body temperature measurement, avoiding direct contact between people in traditional temperature measurement methods, thereby reducing the risk of cross-infection. This is especially important for home-based elderly people who need to monitor their body temperature for a long time because they may be more susceptible to infection;

[0049] The anomaly assessment module performs an anomaly assessment based on the received data, and sends a signal to the alarm module if an anomaly is found in the assessment;

[0050] Abnormal assessment includes abnormal human behavior assessment, abnormal human position assessment, and abnormal human temperature value assessment. The calculation formula for abnormal human behavior assessment is:

[0051]

[0052] In the calculation formula, XWyc represents the abnormal evaluation value of human behavior, XWsj i represents the i-th behavior data, XWsj max +XW max-1 +XW max-2 +···+XWsj max-4 Represents the total value of the 5 largest movement data in the behavior dataset. Represents the mean of the five largest movement data in the behavior data set;

[0053] The calculation formula for evaluating abnormal body position is:

[0054]

[0055] In the calculation formula, WZyc represents the human position abnormality assessment value, wqyc represents the dangerous area abnormality value in the human position abnormality assessment, V represents the number of times the dangerous area is identified, and h w represents the camera in a specific dangerous area, wwyc represents the position anomaly value in the human position anomaly assessment, Represents the human body position information captured by the last camera. Represents the human position information captured by the camera before the last camera;

[0056] The calculation formula for evaluating abnormal human body temperature is:

[0057]

[0058] In the calculation formula, RTwd represents the abnormal value of human body temperature. Represents the lowest normal human body temperature. Represents the normal maximum temperature of the human body. It means that when the human body temperature is lower than the normal minimum human body temperature or higher than the normal maximum human body temperature, it is determined that the human body temperature is abnormal;

[0059] When the human behavior abnormality assessment value is greater than the human behavior abnormality threshold, it means that there is abnormality in human behavior, and the elderly living alone may fall;

[0060] When the danger zone abnormal value in the human position abnormality assessment value is greater than the danger zone abnormal threshold, it means that there is an abnormal situation that the elderly living alone frequently enter and exit the danger zone. When the position abnormal value is greater than the position threshold, it means that the elderly living alone have left home abnormally.

[0061] By real-time monitoring and analyzing the behavior of elderly people living alone, abnormal situations such as falling and getting lost can be discovered in time, so that countermeasures can be taken quickly to ensure the safety of elderly people living alone. This efficient monitoring method can reduce the workload of nursing staff and improve care efficiency. Monitoring the body temperature of elderly people living alone can help to timely discover potential health problems, such as fever, so as to achieve early intervention and treatment. Through cross-judgment and multiple judgments, all-round and refined monitoring and intelligent response of home health care environment, vital signs, daily behavior and health management are realized. It not only improves the safety, accuracy and timeliness of elderly people living at home, but also enables them to be discovered by their guardians or guardianship organizations in emergency situations so as to obtain immediate rescue or help. It can reduce medical expenses and nursing costs caused by accidents or health problems, thereby reducing the economic burden on families and society. At the same time, this also helps to improve the quality of life and social participation of elderly people living alone.

[0062] The alarm module receives the signal and sounds an alarm.

[0063] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A whole-house life perception monitoring and analysis system for elderly people living alone, characterized by: It includes a user terminal and a monitoring platform, wherein the user terminal is used for the user to interact with the system and is connected to the monitoring platform through a network; The monitoring platform includes a life perception monitoring module, an abnormality assessment module and an alarm module. The life perception monitoring module includes a control unit, a behavior monitoring unit, a position monitoring unit and a body monitoring unit. The control unit is respectively connected to the behavior monitoring unit, the position monitoring unit and the body monitoring unit through a network. The behavior monitoring unit is used to obtain the behavior data of the elderly living alone and form a behavior data set with multiple data. The position monitoring unit is used to obtain the position data of the elderly living alone and form a position data set with multiple position data. The body monitoring unit is used to obtain the body data of the elderly living alone and form a body data set with multiple body data. The life perception monitoring module is connected to the abnormality assessment module through a network. The abnormality assessment module performs abnormality assessment based on the received data, and sends a signal to the alarm module if there is an abnormality in the assessment; The alarm module issues an alarm upon receiving the signal.

2. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 1 is characterized by: The user terminal includes a PC browser, a mobile app, and a smart terminal APP.

3. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 2 is characterized by: The control unit controls the area by connecting multiple groups of sensors through a network, wherein the multiple groups of sensors include multiple groups of millimeter wave radar sensors, multiple groups of infrared thermal imaging sensors, and multiple groups of smart cameras; The multiple millimeter wave radar sensors are respectively installed in the center of the living room, the corners of the bedroom, the corridor, and the aisle, and detect human body movements by transmitting and receiving radio waves; The multiple infrared thermal imaging sensors are respectively installed in the center of the living room, the corner of the bedroom, the head of the bed, and the side of the bed to generate a temperature distribution image by measuring the infrared radiation on the surface of the human body; The multiple smart cameras are respectively installed in the center of the living room, the corners of the bedroom, at the door and the window, and the behavior and activities of the elderly living alone are monitored in real time through image recognition technology.

4. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 3 is characterized by: The expression of the behavior data set is: in, Represents the first behavior data, represents the last behavior data, n represents that there are n monitored behavior data in total, k represents the monitoring equipment for monitoring the behavior data, specifically millimeter-wave radar sensors and smart cameras, and the behavior data specifically refers to the speed data of the elderly living alone monitored by millimeter-wave radar sensors and smart cameras.

5. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 4 is characterized by: The expression of the position data set is: in, Represents the first position data, represents the last location data, n represents that there are n monitored location data in total, s represents the monitoring device for monitoring the location data, specifically a smart camera, and the location data specifically refers to the location data of elderly people living alone monitored by the smart camera.

6. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 5 is characterized by: The expression of the body data set is: in, Represents the first body data, represents the last body data, n represents the total number of monitored body data being n, and h represents the monitoring device for monitoring body data, specifically an infrared thermal imaging sensor.

7. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 6 is characterized by: The abnormality assessment includes human behavior abnormality assessment, human position abnormality assessment, and human temperature abnormality value assessment. The calculation formula for the human behavior abnormality assessment is: In the calculation formula, XWyc represents the abnormal evaluation value of human behavior, XWsj i represents the i-th behavior data, XWsj max +XW max-1 +XW max-2 +···+XWsj max-4 Represents the total value of the 5 largest movement data in the behavior dataset. Represents the mean of the five largest movement data in the behavior dataset.

8. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 7 is characterized by: The calculation formula for evaluating the abnormal position of the human body is: In the calculation formula, WZyc represents the human position abnormality assessment value, wqyc represents the dangerous area abnormality value in the human position abnormality assessment, V represents the number of times the dangerous area is identified, and h w represents the camera in a specific dangerous area, wwyc represents the position anomaly value in the human position anomaly assessment, Represents the human body position information captured by the last camera. Represents the human position information captured by the camera before the last camera.

9. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 8 is characterized by: The calculation formula for evaluating the abnormal value of human body temperature is: In the calculation formula, RTwd represents the abnormal value of human body temperature. Represents the lowest normal human body temperature. Represents the normal maximum temperature of the human body. It means that when the human body temperature is lower than the normal minimum human body temperature or when the human body temperature is higher than the normal maximum human body temperature, it is determined that the human body temperature is abnormal.

10. The whole-house life perception monitoring and analysis system for elderly people living alone according to claim 9 is characterized by: When the human behavior abnormality assessment value is greater than the human behavior abnormality threshold, it means that there is abnormality in human behavior, and the elderly living alone may fall; When the danger zone abnormality value in the human position abnormality assessment value is greater than the danger zone abnormality threshold, it means that there is an abnormal situation that an elderly person living alone frequently enters and exits the danger zone. When the position abnormality value is greater than the position threshold, it means that there is an abnormal situation that an elderly person living alone leaves home.

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