Community care and early warning for the disabled elderly based on internet of things

Abstract

The application provides a community disabled old people nursing and early warning system and method based on Internet of Things device interconnection, and a computer readable storage medium for implementing the method. The nursing system comprises a home sensor network, home auxiliary devices and a data centralized platform arranged in the disabled old people's residence environment; the home auxiliary devices acquire multi-dimensional sensing data of the home sensor network and send the multi-dimensional sensing data to the data centralized platform; the data centralized platform performs overall trend analysis on the multi-dimensional sensing data to obtain an expected working mode of the home sensor network corresponding to each home auxiliary device; the early warning system comprises a data comparison engine, which receives the multi-dimensional sensing data sent by the home auxiliary devices according to a second period, determines a current working mode of the home sensor network corresponding to the home auxiliary devices, and determines whether to send an early warning based on a comparison result of the current working mode and the expected working mode. The application can realize intelligent nursing and early warning of community disabled old people.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of Internet of Things data processing and intelligent elderly care, and particularly relates to a community disabled elderly care and early warning system and method based on Internet of Things device interconnection and a computer readable storage medium for implementing the method. BACKGROUND

[0002] Old people who lose part or all of their self-care ability are called "disabled elderly". According to Xinhua News Agency, Beijing, October 9, 2016 (Reporter Wang Sibei), the State Council's Office for the Aging, the Ministry of Civil Affairs, and the Ministry of Finance jointly released the results of the fourth China Urban and Rural Elderly Life Status Survey in Beijing on the 9th. The survey results show that there are about 40.63 million disabled and semi-disabled elderly people in China, accounting for 18.3% of the elderly population; at present, as China gradually enters an aging society, this number and proportion is gradually increasing.

[0003] Everyone will get old, which is a natural law, and no one can escape. With the acceleration of China's aging, the problem of disabled (demented) old people is becoming increasingly serious. Given that more than 90% of old people tend to choose home-based care, how to improve the quality of home-based care for disabled (demented) old people is a problem worth exploring.

[0004] CN201710057971.3 proposes an old person monitoring system based on smart home, a home terminal, and a cloud service platform. The system includes a home terminal, a cloud service platform in communication connection with the home terminal, and a customer terminal in communication connection with the cloud service platform. The home terminal includes a first communication module, an electric appliance control module for users to remotely or locally control various electric appliance devices in the home space and transmit the control parameters to the cloud service platform through the first communication module, an old person behavior state monitoring module for monitoring the behavior state of the old people in the home space and transmitting the monitored behavior state of the old people to the cloud service platform through the first communication module, an old person medicine taking reminding module for reminding the medicine taking old people to take medicine on time and in the right amount and transmitting the medicine taking state of the medicine taking old people to the cloud service platform through the first communication module, and the cloud service platform includes a second communication module, a processing module, and a third communication module.

[0005] CN201810269463.6 proposes a community service system for the elderly, relating to the technical field of pension service, comprising a server, a work terminal and an intelligent terminal, the server comprising a content display module, a processing module and an integral management module; the work terminal sends service information to the content display module for display; the intelligent terminal browses service information and publishes required service information through the content display module; the processing module matches the service information published by the intelligent terminal and the service information provided by the work terminal, and notifies the service personnel of the work terminal matched to provide corresponding services to the elderly of the intelligent terminal; when the elderly accept the service and complete it, the intelligent terminal feeds back a service completion signal to the integral management module, and the integral management module gives integral rewards to the service personnel matched according to the service completion signal. The invention solves the problem that the pension needs of the elderly cannot be met, and mainly provides a community service system for the elderly that can realize human time and skill sharing.

[0006] However, the inventors have found that the prior art elderly care system is only a single isolated object, and does not consider the home environment of each (disabled) elderly person in the community, and also does not consider the unique living habits of each (disabled) elderly person in each home environment, resulting in a large defect in the current care and nursing process, reducing accuracy and human experience. SUMMARY

[0007] To solve the above technical problems, the present application proposes a community disabled elderly care and early warning system and method based on Internet of Things device interconnection, and a computer readable storage medium for implementing the method.

[0008] The care system comprises a home sensor network arranged in the residence environment of the disabled elderly, a home auxiliary device and a data centralized platform; the home auxiliary device acquires multi-dimensional sensing data of the home sensor network and sends the multi-dimensional sensing data to the data centralized platform; the data centralized platform analyzes the overall trend of the multi-dimensional sensing data to obtain an expected working mode of the home sensor network corresponding to each home auxiliary device; the early warning system comprises a data comparison engine, which receives the multi-dimensional sensing data sent by the home auxiliary device according to a second period, determines the current working mode of the home sensor network corresponding to the home auxiliary device; based on the comparison result of the current working mode and the expected working mode, it is determined whether to issue a warning. The present application can realize intelligent care and early warning of the community disabled elderly.

[0009] In the first aspect of the present application, a community disabled elderly care system based on Internet of Things device interconnection is provided, which comprises a home sensor network arranged in the residence environment of the disabled elderly, and a home auxiliary device in wireless communication with the home sensor network;

[0010] The home sensor network comprises at least a first combination sensor and a second combination sensor;

[0011] The first combination sensor is arranged on the roof, floor and multiple target objects in the living room;

[0012] The second combination sensor is arranged at multiple predetermined positions in the bathroom, kitchen and bedroom;

[0013] The home assistance device comprises a wearable device and / or a smart limb assistance device,

[0014] Preferably, the smart limb assistance device comprises a smart wheelchair;

[0015] The care system further comprises a data centralization platform;

[0016] The home assistance device acquires multi-dimensional sensing data of the home sensor network and sends the multi-dimensional sensing data to the data centralization platform;

[0017] The data centralization platform aggregates first multi-dimensional sensing data sent by all home assistance devices according to a first period, and obtains an expected working mode of the home sensor network corresponding to each home assistance device after overall trend analysis on the first multi-dimensional sensing data.

[0018] The working mode comprises an opening time, a closing time and a sensing mode.

[0019] In the second aspect of the present application, a community disabled elderly early warning system interconnected by Internet of Things devices is provided, and the early warning system comprises a data comparison engine and a trend analysis engine;

[0020] The trend analysis engine is connected to the data centralization platform of the community disabled elderly care system interconnected by Internet of Things devices in the first aspect;

[0021] The data comparison engine receives second multi-dimensional sensing data sent by each home assistance device according to a second period,

[0022] The trend analysis engine determines a current working mode of the home sensor network corresponding to the home assistance device based on the second multi-dimensional sensing data;

[0023] The data comparison engine determines whether to issue a warning based on a comparison result of the current working mode and the expected working mode.

[0024] In the third aspect of the present application, a community disabled elderly care and early warning method interconnected by Internet of Things devices is provided, and the method can be implemented based on the care system in the first aspect and / or the early warning system in the second aspect. Specifically, the method comprises the following steps:

[0025] S901: determining a first period, and acquiring first multi-dimensional sensor data of a home sensor network in which the disabled elderly person's residence environment is located according to the first period;

[0026] S902: determining an expected working mode of the home sensor network in which the disabled elderly person's residence environment is located based on the first multi-dimensional sensor data;

[0027] S903: determining a second period, receiving second multi-dimensional sensor data sent by each home auxiliary device according to the second period, and determining a current working mode of the home sensor network corresponding to the home auxiliary device based on the second multi-dimensional sensor data;

[0028] S904: judging whether a similarity between the expected working mode and the current working mode meets a predetermined condition;

[0029] If yes, the second period is increased, and the step S901 is returned;

[0030] If no, the first period is decreased, and the step S901 is returned.

[0031] In the above embodiment, the second period is less than the first period; even if the second period is increased, the second period is upper limited by the first period.

[0032] The method of the third aspect can be executed by a terminal device containing a processor and a memory, especially an image processing terminal device, including a mobile terminal, a desktop terminal, a server and a server cluster, etc., through automatic execution of program instructions, therefore, in the fourth aspect of the present application, a computer readable storage medium is also provided, which stores computer program instructions; the image terminal processing device containing a processor and a memory executes the program instructions, and is used to realize all or part of the steps of the method. The processor and the memory are connected through a bus, and constitute internal communication of the terminal device.

[0033] Further advantages of the present application will be further embodied in detail in the specific embodiment part combined with the drawings of the specification. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below, and obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0035] Figure 1A structure schematic diagram of a community disabled old people nursing system based on Internet of Things device interconnection

[0036] Figure 2 A structure schematic diagram of a community disabled old people nursing system based on Internet of Things device interconnection Figure 1 A layout schematic diagram of a home sensor network and a home auxiliary device of the system

[0037] Figure 3 A community disabled old people early warning system based on Internet of Things device interconnection Figure 1 A community disabled old people early warning system based on Internet of Things device interconnection

[0038] Figure 4 A community disabled old people early warning system based on Internet of Things device interconnection Figure 3 Or A community disabled old people early warning system based on Internet of Things device interconnection Figure 1 A community disabled old people early warning and nursing method based on Internet of Things device interconnection

[0039] Figure 5 A community disabled old people early warning and nursing method based on Internet of Things device interconnection Figure 4 A community disabled old people early warning and nursing method based on Internet of Things device interconnection DETAILED DESCRIPTION

[0040] Further description of the application is made below in combination with the drawings and specific embodiments.

[0041] Referring to Figure 1 A structure schematic diagram of a community disabled old people nursing system based on Internet of Things device interconnection

[0042] First, the definition of “disabled old people” mentioned in various embodiments of the application is introduced.

[0043] In the application, disabled old people refer to old people who lose (all or part of) self-care ability.

[0044] According to the international standard analysis, six indicators of eating, dressing, getting in and out of bed, going to the toilet, walking indoors, and bathing, one or two indicators “cannot do”, are defined as “mild disability”, three to four indicators “cannot do” are defined as “moderate disability”, and five to six indicators “cannot do” are defined as “severe disability”.

[0045] Therefore, the “disabled old people” mentioned in the application can be mild or severe disability. According to different degrees of disability, different levels of Internet of Things devices can be configured accordingly, including a home sensor network and a home auxiliary device in wireless communication with the home sensor network.

[0046] In Figure 1 the nursing system, the nursing system includes a home sensor network arranged in the disabled old people's residence environment, a home auxiliary device in wireless communication with the home sensor network, and a data centralized platform.

[0047] The home assistive devices include wearable devices and / or smart limb assistive devices, including smart wheelchairs.

[0048] The home sensor network includes a variety of sensors.

[0049] For example, the various sensors include tracking sensors, mercury touch sensors, wireless signal strength sensors, proximity sensors, floating sensors, and flame sensors.

[0050] The home assistive device includes at least one data storage device, which acquires multidimensional sensing data from the home sensor network and sends the multidimensional sensing data to the data centralization platform.

[0051] The data centralization platform aggregates the first multidimensional sensing data sent by all home assistive devices according to the first cycle. After performing an overall trend analysis on the first multidimensional sensing data, it derives the expected working mode of the home sensor network corresponding to each home assistive device.

[0052] exist Figure 1 Based on this, continue to refer to Figure 2 .

[0053] exist Figure 2 The home sensor network includes at least a first combination sensor and a second combination sensor; the first combination sensor is installed on the ceiling, floor and multiple target objects in the living room; the second combination sensor is installed in multiple predetermined locations in the bathroom, kitchen and bedroom.

[0054] Taking the aforementioned sensors, including tracking sensors, touch sensors, and proximity sensors, as examples:

[0055] The first combined sensor includes a tracking and positioning sensor and a touch sensor;

[0056] The tracking and positioning sensors are installed on the roof and floor of the living room to track the activity trajectory of disabled elderly people moving around in the living room.

[0057] The touch sensor is disposed on the plurality of target objects and is used to detect whether the target object is picked up, put down or moved.

[0058] The second combined sensor includes a proximity sensor; the proximity sensor is disposed at multiple predetermined locations in the bathroom, kitchen, and bedroom.

[0059] At this time, the multidimensional sensing data includes the activity trajectory of the disabled elderly person active in the living room, whether the disabled elderly person enters the bathroom, kitchen or bedroom, the entry time, and the duration of entering the bathroom, kitchen or bedroom.

[0060] As a further preferred embodiment, the floating sensor includes a water volume floating sensor installed in the bathroom and a gas-liquid floating sensor installed in the kitchen.

[0061] The water volume fluctuation sensor is used to record the water usage time and frequency in the bathroom.

[0062] The wireless signal strength sensor is installed in adjacent areas of different target areas in the home-based elderly care environment;

[0063] The proximity sensor is installed in a specific static area of ​​the home-based elderly care environment, which includes the bedroom bed, sofa, dining table, and toilet.

[0064] exist Figure 2 In this embodiment, the home assistive device and the home sensor network are activated using a near-field communication mode;

[0065] When the home assistive device and the home sensor network are within a predetermined range, the home sensor network is activated;

[0066] The operating modes of the home sensor network include on-time, off-time, and sensing mode.

[0067] The sensing modes include Bluetooth sensing mode and infrared sensing mode; when the home assistive device and the home sensor network are in a relatively stationary state, the home sensor network adopts Bluetooth sensing mode; when the home assistive device and the home sensor network are in a relatively moving state, the home sensor network adopts infrared sensing mode.

[0068] Preferably, the first combined sensor and the second combined sensor are in an alternating working mode.

[0069] Clearly, the above-mentioned further optimized technical solution can more accurately acquire the activity data of disabled elderly people living at home, and by adopting the method of switching working modes, it can achieve accurate data collection while maximizing energy saving.

[0070] Figure 1 and Figure 2 The care system can obtain multi-dimensional sensor data through a sensor network, and based on overall trend analysis, derive the expected working mode of the home sensor network corresponding to each home assistive device.

[0071] Preferably, the data centralized platform aggregates all the first multi-dimensional sensing data sent by the home auxiliary devices in a first period, and performs overall trend analysis on the first multi-dimensional sensing data.

[0072] In actual practice, the data transceiving channel of the data centralized platform can be opened in the presence of a guardian of the disabled elderly, and the obtained first multi-dimensional sensing data is normal life data of the disabled elderly in the presence of the guardian, so that the life trend of the disabled elderly in the normal state can be analyzed, such as in which time period and in which area (room, living room, or bathroom), the regular time, regular operation, and regular trajectory in each area.

[0073] Of course, other ways can also be used to obtain similar first multi-dimensional sensing data in the normal mode, and the present application does not make specific limitations thereon, as long as the expected normal working mode of the home sensor network corresponding to each home auxiliary device can be obtained through overall trend analysis.

[0074] On this basis, further referring to Figure 3 .

[0075] Figure 3 A community disabled elderly early warning system for Internet of Things device interconnection is shown, and the early warning system includes a data comparison engine connected to the community disabled elderly care system for Internet of Things device interconnection.

[0076] The data comparison engine receives second multi-dimensional sensing data sent by each home auxiliary device in a second period, and determines the current working mode of the home sensor network corresponding to the home auxiliary device based on the second multi-dimensional sensing data.

[0077] Based on the comparison result of the current working mode and the expected working mode, it is determined whether to issue a warning.

[0078] More specifically, in Figure 3 , the early warning system includes a trend analysis engine;

[0079] The trend analysis engine is connected to the data centralized platform of the community disabled elderly care system for Internet of Things device interconnection in the first aspect;

[0080] The data comparison engine receives second multi-dimensional sensing data sent by each home auxiliary device in a second period,

[0081] The trend analysis engine determines the current working mode of the home sensor network corresponding to the home auxiliary device based on the second multi-dimensional sensing data.

[0082] The data comparison engine determines whether to issue a warning based on a comparison result of the current working mode and the expected working mode.

[0083] The comparison result includes a similarity threshold of the current working mode and the expected working mode.

[0084] Preferably, the current working mode can be described as an actual data trend curve, and the expected working mode can be described as a standard data trend curve.

[0085] The difference between the actual data trend curve and the standard data trend curve is compared, and if the difference is greater than a threshold, a warning is issued; otherwise, the periodic parameters, including a first period or a second period, are adjusted.

[0086] Specifically, the second period is less than the first period; if it is determined based on the comparison result that no warning is needed, the second period is increased; otherwise, the first period is decreased.

[0087] Based on Figures 1-3 The structure and system are described in detail below. Figure 4 The embodiment also provides a community disabled elderly care and warning method for Internet of Things device interconnection, which includes a cycle process of steps S901-S904, and each step is implemented as follows.

[0088] S901: A first period is determined, and first multi-dimensional sensor data of a home sensor network in which a disabled elderly person's residence environment is located is acquired according to the first period.

[0089] S902: An expected working mode of the home sensor network in which the disabled elderly person's residence environment is located is determined based on the first multi-dimensional sensor data.

[0090] S903: A second period is determined, and second multi-dimensional sensor data sent by each home auxiliary device is received according to the second period, and a current working mode of the home sensor network corresponding to the home auxiliary device is determined based on the second multi-dimensional sensor data.

[0091] S904: Whether a similarity of the expected working mode and the current working mode meets a predetermined condition is judged.

[0092] If yes, the second period is increased, and the step S901 is returned.

[0093] The above steps can correspond to Figure 1 or Figure 3 The system, for example, the step S901 and the step S902 are implemented based on Figure 1 The care system, and the step S903 and the step S904 are implemented based on Figure 3The early warning system is realized, which will not be described here.

[0094] Figure 4 The method can be executed by a terminal device comprising a processor and a memory, especially an image processing terminal device, including a mobile terminal, a desktop terminal, a server, a server cluster, etc., through automatic execution of program instructions.

[0095] Therefore, referring to Figure 5 The embodiment also provides a computer readable storage medium, which stores computer program instructions; the image terminal processing device comprising a processor and a memory executes the program instructions, and is used for realizing all or part of steps of the method. The processor and the memory are connected through a bus, and constitute internal communication of the terminal device.

[0096] Although the embodiments of the present application have been shown and described, it should be understood by those ordinary skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A community-based early warning system for disabled elderly connected to Internet of Things (IoT) devices, the early warning system comprising a data comparison engine connected to a community-based care system for disabled elderly connected to IoT devices, characterized in that: The community-based care system for disabled elderly interconnected by the Internet of Things (IoT) devices includes a home sensor network deployed in the living environment of the disabled elderly and home assistive devices that communicate wirelessly with the home sensor network. Its features are: The home sensor network includes at least a first combined sensor and a second combined sensor; The first combined sensor is installed on the ceiling, floor, and multiple target objects in the living room; The second set of sensors is installed in multiple predetermined locations in the bathroom, kitchen, and bedroom; The care system also includes a data centralization platform; The home assistive device acquires multi-dimensional sensing data from the home sensor network and sends the multi-dimensional sensing data to the data centralization platform; The data centralization platform aggregates the first multidimensional sensing data sent by all home assistive devices according to the first cycle, and after performing an overall trend analysis on the first multidimensional sensing data, it obtains the expected working mode of the home sensor network corresponding to each home assistive device. The operating modes of the home sensor network include on-time, off-time, and sensing mode. The sensing modes include Bluetooth sensing mode and infrared sensing mode; When the home assistive device and the home sensor network are in a relatively stationary state, the home sensor network uses Bluetooth sensing mode; when the home assistive device and the home sensor network are in a relatively moving state, the home sensor network uses infrared sensing mode. The first combined sensor and the second combined sensor operate in an alternating mode; the first combined sensor includes a tracking and positioning sensor and a touch sensor; the second combined sensor includes a proximity sensor. The data comparison engine receives second multi-dimensional sensing data sent by each home assistive device according to a second cycle, and determines the current working mode of the home sensor network corresponding to the home assistive device based on the second multi-dimensional sensing data; the second cycle is shorter than the first cycle; Based on the comparison between the current working mode and the expected working mode, it is determined whether to issue an early warning; if it is determined based on the comparison result that no early warning is needed, the second cycle is increased.

2. The community-based early warning system for disabled elderly people interconnected by Internet of Things devices as described in claim 1, characterized in that: The tracking and positioning sensors are installed on the roof and floor of the living room to track the activity trajectory of disabled elderly people moving around in the living room. The touch sensors are disposed on the plurality of target objects and are used to detect whether the target objects are picked up, put down, or moved.

3. The community-based early warning system for disabled elderly people interconnected by Internet of Things devices as described in claim 1, characterized in that: The proximity sensors are installed at multiple predetermined locations in the bathroom, kitchen, and bedroom to detect whether the disabled elderly person enters the bathroom, kitchen, or bedroom, the time of entry, and the duration of entry into the bathroom, kitchen, or bedroom.

4. A community-based early warning system for disabled elderly people interconnected by Internet of Things (IoT) devices as described in any one of claims 1-3, characterized in that: The home assistive devices and the home sensor network are activated using a near-field communication mode; When the home assistive device and the home sensor network are within a predetermined range, the home sensor network is activated.

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