CN113421179A - Home-based old-age care environment improvement based on historical multidimensional data stream and active feedback - Google Patents
Home-based old-age care environment improvement based on historical multidimensional data stream and active feedback Download PDFInfo
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Abstract
The invention provides a technical scheme for realizing improvement of a home-based care environment, which comprises a multi-dimensional data acquisition system in the home-based care environment and a corresponding home-based care environment improvement method based on historical multi-dimensional data flow and active feedback. The system collects multi-dimensional endowment activity data through a plurality of different types of home sensors arranged in the home endowment environment; generating an activity hotspot graph of the target person in the home endowment environment based on the multi-dimensional endowment activity data; receiving active feedback of a target person to correct the activity hotspot graph; calculating the balance degree of the target person in the first activity area or the second activity area; based on the degree of balance, the home-based endowment environment is evaluated and improved. The invention realizes the adaptability problem of the home-based care environment for the first time, provides an effective technical scheme and realizes the unification of the intelligentization and personalized requirements of home-based care.
Description
Technical Field
The invention belongs to the technical field of Internet of things and intelligent endowment, and particularly relates to a multi-dimensional data acquisition system in a home endowment environment, a home endowment environment improvement method based on historical multi-dimensional data flow and active feedback, and a computer program instruction medium for realizing the method.
Background
The elderly population in China has entered a rapid growth stage, and by 2050, the elderly living alone and in empty nests account for more than 54%, and the elderly face the problems of old and weak people, no human support, difficulty in hospitalization and the like. Therefore, the traditional endowment mode needs to be upgraded, and the intelligent endowment becomes a necessary trend. The intelligent old-age care is 'intelligent home-based old-age care', which is a newly popular old-age care concept, and the old-age care mode can ensure that the old people are not bound by time and geographical environment in daily life and can live at high quality and enjoyment in own home. The intelligent endowment system provides the networking, interconnection and intelligent endowment services for the household old people, communities and endowment mechanisms by utilizing the technologies of positioning, detecting, sensing, early warning, monitoring and the like, provides support for the upgrading of the household endowment and other endowment modes, and has become the inevitable trend of the future household endowment.
In order to better configure medical care resources and provide more high-quality and convenient services for the household elder, more and more foreign scholars have focused research on the application of the internet of things technology in the field of household elder in recent years. The Chinese invention patent application with the application number of CN202011119390.6 provides an intelligent management method and an intelligent management platform for old care, the method comprises the steps of establishing a unique identification binding relationship with a care object, inputting basic information and service information of the care object, and forming a complete file of the care object; the method comprises the steps that a care worker registers an account number, binds with a care object through unique identification information, becomes a parent according to rules and acquires corresponding parent authority; other care subjects obtain corresponding family rights after being approved by parents and distributed with the rights to form a management mode of one master and multiple parents, and the parents or the families acquire, inquire or change the related information of the bound care subjects through logging in an account number to know the conditions of the care subjects in real time; the intelligent management platform is used for realizing the intelligent management method. The intelligent management method and the intelligent management platform effectively solve the problem that a plurality of families manage the old or children, realize a care mode of one owner and a plurality of people and improve the convenience of nursing for the aged. The Chinese patent application with the application number of CN202110054121.4 provides a multifunctional home-based care terminal, which comprises an intelligent base and a card-type terminal, wherein the intelligent base comprises a base main control unit, a sensor unit, a warning unit and a base communication unit, and the card-type terminal comprises a terminal main control unit, a touch control unit, a positioning communication unit, an intercom unit and a terminal communication unit. The invention relates to a nursing terminal, which does not adopt a camera which is common in the existing equipment, monitors the activity of a user through a microwave probe which is hidden in a night lamp, analyzes the daily activity frequency of the user, reports the activity frequency data of the user to a background server in time, and plays the roles of monitoring the activity condition of the user and even pre-judging the activity rule of the user.
However, the above solutions of the prior art all focus on data monitoring followed by corresponding measures, which is essentially a static passive monitoring mode, and do not take into account the objective activities of the home-based elderly and the personalized needs exhibited by the objective activities. Particularly, in different areas under the same home-based care environment, the activity track, the activity range, even the duration and the like of the care personnel are not concerned for a long time, so that the requirements of related personnel cannot be completely met; although a large number of internet of things technologies and sensor technologies are widely used, in the prior art, the internet of things technologies, sensors and the like are not changed once being configured, the personalized requirements of actual personnel are not considered at the beginning of configuration, and the adjustment cannot be performed at the later stage, so that the design of a home-based care environment and a control system does not show the unification of humanization, personalization and intellectualization.
More importantly, the related schemes in the prior art only provide corresponding other services for the elderly through collecting and monitoring the acquired endowment environment data, and whether the elderly adapt to the current home environment or not is not considered, for example, whether the current home layout is reasonable or not is not considered. In fact, since the elderly are old and inconvenient to move, the evaluation of the home environment has a great influence on the care of the elderly. The main locations where the aged-adapted environment assessment is usually required are aged-adapted environment assessment of rooms where the elderly live, aged-adapted environment assessment of the nursing institutions, aged-adapted environment assessment of the community service institutions, and the prior art does not notice such problems, and does not mention the corresponding technical solutions.
Disclosure of Invention
In order to solve the technical problems, the invention provides a technical scheme for realizing improvement of a home-based care environment, which comprises a multi-dimensional data acquisition system in the home-based care environment and a corresponding home-based care environment improvement method based on historical multi-dimensional data flow and active feedback. The system collects multi-dimensional endowment activity data through a plurality of different types of home sensors arranged in the home endowment environment; generating an activity hotspot graph of the target person in the home endowment environment based on the multi-dimensional endowment activity data; receiving active feedback of a target person to correct the activity hotspot graph; calculating the balance degree of the target person in the first activity area or the second activity area; based on the degree of balance, the home-based endowment environment is evaluated and improved.
The technical scheme of the invention can be introduced from three angles respectively:
in a first aspect of the present invention, a multi-dimensional data acquisition system in a home-based care environment is provided, the system acquires multi-dimensional care activity data through a plurality of different types of home sensors arranged in the home-based care environment;
in an application scenario of the present invention, the home-based care environment includes a first activity area, a second activity area, and/or a third activity area;
the plurality of heterogeneous home sensors includes a first sensor, a second sensor, and a third sensor;
the first sensor is arranged in the first active region and the second active region;
the second sensor is arranged at the third activity area;
the third sensor is disposed at a first contiguous area of the first and second active areas and a second contiguous area of the first and third active areas;
acquiring an activity track of a target person in the first activity area, and frequency and dwell time of the target person entering the second activity area through the first sensor to serve as first endowment activity data;
acquiring the use state of the consumable goods in the third activity area through the second sensor to serve as second endowment activity data;
and correcting the first endowment activity data or the second endowment activity data through the proximity sensing data acquired by the third sensor.
In a second aspect of the present invention, a household old-age caring environment improvement method based on historical multidimensional data stream and active feedback implemented by the system according to the first aspect is provided, the method includes the following steps S601-S608, and each step is implemented as follows:
s601: acquiring first endowment activity data through the first sensor in a first time period;
s602: acquiring second endowment activity data through the second sensor in a second time period;
s603: generating an activity hotspot graph of the target person in the home endowment environment based on the first and second endowment activity data;
s604, sending the activity hotspot graph to the target person, and receiving active feedback of the target person;
s605: based on the active feedback, correcting the active hotspot graph;
s606: calculating the balance degree of the target person in the first activity area or the second activity area based on the activity hotspot graph;
s607: evaluating the home-based care environment based on the degree of balance;
s608: adjusting a home-care environment of the target person based on the evaluation;
preferably, the balance degree characterizes the proportion of the stay time of the target person in the first activity area or the second activity area to all the activity time;
as another preference, the degree of balance characterizes a frequency with which the target person leaves a first active area or a second active area into the first or second adjacent region.
The method of the second aspect may be performed automatically by program instructions 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 cluster, and the like, and therefore, in a third aspect of the present invention, there is also provided a computer readable storage medium having computer program instructions stored thereon; the program instructions are executed by an image terminal processing device comprising a processor and a memory for implementing all or part of the steps of the method. The processor and the memory are connected through a bus to form internal communication of the terminal equipment.
The invention realizes the adaptability problem of the home-based care environment for the first time, provides an effective technical scheme and realizes the unification of the intelligentization and personalized requirements of home-based care.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of a sensor partition layout of a multi-dimensional data acquisition system in a home-based care environment according to an embodiment of the present invention
FIG. 2 is a specific embodiment of the system of FIG. 1
FIGS. 3-4 are schematic diagrams of portions of the system of FIG. 1 operating in principle
FIG. 5 is a schematic flow chart of a method for improving a home-based care environment based on historical multidimensional data flow and active feedback, which is implemented based on the systems of FIG. 1 and FIG. 2
FIG. 6 is a flow chart of a more specific implementation of the method illustrated in FIG. 5
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, a schematic diagram of a layout of a partitioned sensor of a multi-dimensional data acquisition system in a home-based care environment according to an embodiment of the present invention is shown.
As a data collection basis of the present invention, the system shown in fig. 1 collects multidimensional aging activity data through a plurality of different types of home sensors disposed in the home aging environment.
Wherein the home-based endowment environment comprises a first activity area, a second activity area and a third activity area;
the plurality of heterogeneous home sensors includes a first sensor, a second sensor, and a third sensor;
the first sensor is arranged in the first active region and the second active region;
the second sensor is arranged at the third activity area;
the third sensor is disposed at a first contiguous area of the first and second active areas and a second contiguous area of the first and third active areas;
acquiring an activity track of a target person in the first activity area, and frequency and dwell time of the target person entering the second activity area through the first sensor to serve as first endowment activity data;
and acquiring the use state of the consumable goods in the third activity area through the second sensor to serve as second endowment activity data.
And correcting the first endowment activity data or the second endowment activity data through the proximity sensing data acquired by the third sensor.
More specifically, the first endowment activity data is corrected based on third sensor data acquired by the third combined sensor arranged in a first adjacent area of the first activity area and the second activity area.
Correcting the first endowment activity data based on fourth sensor data acquired by the third combined sensor arranged in a second adjacent area of the third activity area and the first activity area.
It should be noted that the above-described correction is targeted and determined by the target area location and sensor layout defined by the present invention, and is not optional.
Specifically, the first adjacent region connects the first activity region and the second activity region, and therefore, data acquired by the first adjacent region and data acquired by each of the first activity region and the second activity region are related, for example, the last part of the time series data acquired by the first activity region and the initial part of the time series data acquired by the second activity region should be associated under normal conditions, and if there is no association, it is necessary to identify a difference part therein and perform data fusion, so as to realize correction of the first endowment activity data.
Similarly, the second adjacent region connects the first region and the third region, so that the data acquired by the second adjacent region is related to the data acquired by each of the first region and the third region, for example, the last part of the time series data acquired by the first region and the initial part of the time series data acquired by the third region should be associated under normal conditions, and if there is no association, it is necessary to identify the difference part therein and perform data fusion, so as to implement the correction of the second endowment activity data.
On the basis of fig. 1, fig. 2 shows a more specific embodiment.
In fig. 2, the first activity area is a living room; the second activity area comprises a bedroom; the third activity area comprises a kitchen or a bathroom.
At this time, the home-based care environment includes a first activity area (living room), a second activity area (bedroom), and a third activity area (kitchen or bathroom).
At this time, the first sensor includes, as a correspondence, a tracking position sensor and a tactile sensor; the tracking and positioning sensor is arranged on the roof and the floor of the second area; the tactile sensor is arranged on a plurality of target objects and used for detecting whether the target objects are picked up, put down or moved.
The living consumables comprise living water and living gas; the second sensor comprises a floating sensor and a flame sensor; the floating sensor comprises a water floating sensor arranged in a bathroom and a gas-liquid floating sensor arranged in a kitchen.
The water floating sensor is used for recording the water usage time and the usage frequency of the bathroom;
the gas-liquid floating sensor is used for recording the gas amount and the duration of the use of the kitchen in firing.
The third sensor comprises a proximity sensor; the proximity sensor is used for detecting the time period and frequency of the target person passing through the first adjacent area or the second adjacent area.
Fig. 3-4 are schematic diagrams of portions of the system of fig. 1.
Acquiring first endowment activity data through the first sensor in a first time period; establishing a first time series model based on the first endowment activity data, and predicting a first curve of the first endowment activity data of a first time period in the future along with the change of time through the first time series model;
acquiring second endowment activity data through the second sensor in a second time period; and establishing a second time series model based on the second endowment activity data, and predicting a second curve of the second endowment activity data of a second time period in the future along with the change of time through the second time series model.
In the process of establishing the time series model, the first time series model or the second time series model is corrected through the proximity sensing data acquired by the third sensor.
Specifically, the fitting process and the fitting mode of the first time series model or the second time series model may be corrected after the second endowment activity data or the first endowment activity data is corrected.
However, how to establish a time series model and modify parameters has various common methods in the field, and the present invention does not develop this method, and specifically, the following prior art can be referred to:
[1] changwei behavior recognition technology based on time series analysis research [ D ]. Qingdao science and technology university, 2017.
[2] Periodic study of time series data [ D ] university of electronic technology, 2013.
The time series model can be combined with the behavior model to realize behavior recognition. The behavior model is a behavior model established by extracting knowledge on the basis of the characteristic sensors, and characteristic values of the characteristic sensors are extracted aiming at the characteristic sensors capable of distinguishing all behaviors to form a knowledge model of each behavior, wherein the knowledge model is the basis of behavior recognition. On the basis of the knowledge model, behavior recognition is realized by adopting a similarity comparison method, the behaviors to be recognized are compared with the knowledge model of the behaviors one by one in similarity, and the model with the highest similarity is selected as the final recognition result of the behaviors and is labeled.
On the basis of the previous embodiment, see fig. 5-6.
Fig. 5 is a flow chart of a home-based old-age care environment improvement method based on historical multidimensional data flow and active feedback, which is implemented based on the systems of fig. 1 and fig. 2.
In fig. 5, the method includes steps S601 to S608, and each step is implemented as follows:
s601: acquiring first endowment activity data through the first sensor in a first time period;
s602: acquiring second endowment activity data through the second sensor in a second time period;
s603: generating an activity hotspot graph of the target person in the home endowment environment based on the first and second endowment activity data;
s604, sending the activity hotspot graph to the target person, and receiving active feedback of the target person;
s605: based on the active feedback, correcting the active hotspot graph;
s606: calculating the balance degree of the target person in the first activity area or the second activity area based on the activity hotspot graph;
s607: evaluating the home-based care environment based on the degree of balance;
s608: based on the assessment, improving a home-care environment of the target person.
The degree of balance is determined based on the reasonableness of the target person in different activity areas of the home environment.
As an example, the degree of balance characterizes a percentage of the stay time of the target character in the first activity zone or the second activity zone over all activity time.
As another example, the degree of balance characterizes a frequency with which the targeted character leaves a first activity area or a second activity area and enters the first or second adjacent zones.
Fig. 6 shows a further improved embodiment of the method described in fig. 5.
Wherein, the step S601 further includes:
establishing a first time series model based on the first endowment activity data, and predicting a first curve of the first endowment activity data of a first time period in the future along with the change of time through the first time series model;
the step S602 further includes:
and establishing a second time series model based on the second endowment activity data, and predicting a second curve of the second endowment activity data of a second time period in the future along with the change of time through the second time series model.
On the basis, constructing the heat point map;
at this time, the active hotspot graph comprises the first curve and the second curve; it can be seen that the hotspot graph includes not only the current (historical) hotspot graph, but also a future (predicted) hotspot graph.
And then receiving active feedback of a user and correcting the heat point diagram.
Further, after the step S602 and before the step S603, the method further includes:
s6021: acquiring proximity sensing data acquired by the third sensor in a third time period between the first time period and the second time period;
s6022: performing a correction on the first and/or second endowment activity data based on the proximity sensor data.
A hotspot Map (also known as a thermodynamic Map); the method is an analysis means for marking and presenting areas on a picture or a page according to different attention degrees by using different marks, wherein the marking means generally adopts the forms of color depth, point density and presentation proportion, and the final obtained effect is the same no matter which mode is used, namely, the method is unprecedented.
As a further example, the evaluating includes:
acquiring the use frequency of different target areas of the home environment, the movement track and the stay time of a target person between the different target areas, the frequency of the target person to go back and forth to the different target areas and the like, so as to evaluate the use energy efficiency and the azimuth configuration of the plurality of different target areas of the home environment;
as a further example, improving the home-care environment of the target person based on the evaluation includes:
adjusting the target person's home environment, for example, adjusting the layout of the current home environment, or changing the home environment for the target person.
The invention firstly pays attention to the improvement problem of the home-based old-age care environment, provides an effective technical scheme as a basis and can provide an objective data basis for subsequent further adjustment and improvement.
Therefore, the technical scheme of the invention has the following advantages:
(1) by arranging different sensor networks in different areas, a plurality of continuous sensing data of the target person in the same household environment can be acquired at different time periods;
(2) according to the sensor data acquired by the sensor network of the adjacent areas of different areas, correction can be performed aiming at the existing time series model, so that the problem that the sensing data of a single area is discontinuous or inaccurate is avoided;
(3) the home environment assessment is executed based on the time series model prediction data, objective historical data are considered, future prediction data are comprehensively considered, and meanwhile active feedback of a user is received, so that the home environment assessment is more accurate.
Although not shown in the drawings, the method of the present invention may be performed automatically by a terminal device including a processor and a memory, particularly an image processing terminal device, including a mobile terminal, a desktop terminal, a server cluster, and the like, through program instructions, and thus, further embodiments may provide a computer-readable storage medium having stored thereon the computer program instructions; the program instructions are executed by an image terminal processing device comprising a processor and a memory for implementing all or part of the steps of the method. The processor and the memory are connected through a bus to form internal communication of the terminal equipment.
Other concepts not yet addressed by the present invention are prior art, and the examples of the present invention are merely illustrative, and it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A multi-dimensional data acquisition system in a home-based care environment collects multi-dimensional care activity data through a plurality of different types of home sensors arranged in the home-based care environment;
the method is characterized in that:
the home-based endowment environment comprises a first activity area, a second activity area and a third activity area;
the plurality of heterogeneous home sensors includes a first sensor, a second sensor, and a third sensor;
the first sensor is arranged in the first active region and the second active region;
the second sensor is arranged at the third activity area;
the third sensor is disposed at a first contiguous area of the first and second active areas and a second contiguous area of the first and third active areas;
acquiring an activity track of a target person in the first activity area, and frequency and dwell time of the target person entering the second activity area through the first sensor to serve as first endowment activity data;
acquiring the use state of the consumable goods in the third activity area through the second sensor to serve as second endowment activity data;
and correcting the first endowment activity data or the second endowment activity data through the proximity sensing data acquired by the third sensor.
2. The multi-dimensional data acquisition system in a home-care environment as claimed in claim 1, wherein:
the first activity area is a living room;
the second activity area comprises a bedroom;
the third activity area comprises a kitchen or a bathroom.
3. The multi-dimensional data acquisition system in a home-care environment as claimed in claim 1, wherein:
the first sensor comprises a tracking positioning sensor and a touch sensor;
the tracking and positioning sensors are arranged on the roof and the floor of the second activity area;
the tactile sensor is arranged on a plurality of target objects and used for detecting whether the target objects are picked up, put down or moved.
4. The multi-dimensional data acquisition system in a home-care environment as claimed in claim 1, wherein:
the living consumables comprise living water and living gas;
the second sensor comprises a floating sensor and a flame sensor;
the floating sensor comprises a water floating sensor arranged in a bathroom and a gas-liquid floating sensor arranged in a kitchen.
5. The multi-dimensional data acquisition system in a home-care environment as claimed in claim 1, wherein:
the third sensor comprises a proximity sensor;
the proximity sensor is used for detecting the time period and frequency of the target person passing through the first adjacent area or the second adjacent area.
6. A home-based aged-care environment improvement method based on historical multidimensional data flow and active feedback, the method is implemented based on the multidimensional data acquisition system in the home-based aged-care environment of any one of claims 1-5, and the method comprises the following steps:
s601: acquiring first endowment activity data through the first sensor in a first time period;
s602: acquiring second endowment activity data through the second sensor in a second time period;
s603: generating an activity hotspot graph of the target person in the home endowment environment based on the first and second endowment activity data;
s604, sending the activity hotspot graph to the target person, and receiving active feedback of the target person;
s605: based on the active feedback, correcting the active hotspot graph;
s606: calculating the balance degree of the target person in the first activity area or the second activity area based on the activity hotspot graph;
s607: evaluating the home-based care environment based on the degree of balance;
s608: adjusting a home-care environment of the target person based on the evaluation;
wherein the balance degree represents the proportion of the staying time of the target person in the first activity area or the second activity area to all the activity time.
7. The method for improving home-based care environment based on historical multidimensional data flow and active feedback as claimed in claim 6, wherein:
the balance degree represents the frequency of the target person leaving the first activity area or the second activity area and entering the first adjacent area or the second adjacent area.
8. The method for improving home-based care environment based on historical multidimensional data flow and active feedback as claimed in claim 6, wherein:
the step S601 further includes:
establishing a first time series model based on the first endowment activity data, and predicting a first curve of the first endowment activity data of a first time period in the future along with the change of time through the first time series model;
the step S602 further includes:
and establishing a second time series model based on the second endowment activity data, and predicting a second curve of the second endowment activity data of a second time period in the future along with the change of time through the second time series model.
9. The method as claimed in claim 8, wherein the method for improving home-based care environment based on historical multidimensional data flow and active feedback comprises:
the active hotspot graph includes the first curve and the second curve.
10. A method for home-based aging environment improvement based on historical multidimensional data flow and active feedback according to any of claims 6 to 9, characterized in that:
after the step S602, before the step S603, the method further includes:
s6021: acquiring proximity sensing data acquired by the third sensor in a third time period between the first time period and the second time period;
s6022: performing a correction on the first and/or second endowment activity data based on the proximity sensor data.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805175A (en) * | 2023-06-02 | 2023-09-26 | 中哲国际工程设计有限公司 | Medical care building operation and maintenance management system based on CIM technology |
| CN117114286A (en) * | 2023-07-31 | 2023-11-24 | 青岛正信德宇信息科技有限公司 | Intelligent pension auxiliary planning method and system |
-
2021
- 2021-06-21 CN CN202110685521.5A patent/CN113421179A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805175A (en) * | 2023-06-02 | 2023-09-26 | 中哲国际工程设计有限公司 | Medical care building operation and maintenance management system based on CIM technology |
| CN116805175B (en) * | 2023-06-02 | 2023-12-26 | 中哲国际工程设计有限公司 | Medical care building operation and maintenance management system based on CIM technology |
| CN117114286A (en) * | 2023-07-31 | 2023-11-24 | 青岛正信德宇信息科技有限公司 | Intelligent pension auxiliary planning method and system |
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