CN113504733A - Data acquisition and data processing system and method for design of home-based care system - Google Patents
Data acquisition and data processing system and method for design of home-based care system Download PDFInfo
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Abstract
The invention provides a data acquisition and data processing system and method for designing a home-based care system. The data acquisition system comprises a first type sensor, a second type sensor and a third type sensor; the working modes of the first type sensor, the second type sensor and the third type sensor are different; the data processing system receives first type sensing data acquired by the first type sensor, and obtains a first data pattern analysis result after data pattern analysis is performed; receiving third type sensing data acquired by a third type sensor, and obtaining a third data trend analysis result after performing data trend analysis; and adjusting the working mode of the first type of sensor or the third type of sensor based on the first data pattern analysis result and the third data trend analysis result. The method comprises the steps of collecting various sensor data generated by home-based care through a home sensor network, carrying out data processing, and designing or adjusting control parameters of a home-based care system based on the processing result.
Description
Technical Field
The invention belongs to the technical field of Internet of things and intelligent endowment, and particularly relates to a data acquisition and data processing system and method for designing a home endowment system, and a computer program instruction medium for realizing the method.
Background
With the continuous development of the aging of China, the aging care becomes an important issue which needs to be paid attention to at the national level. The home-based care for the aged is a traditional care mode which has been used in China all the time, home-based care for the aged uses a family as a core and a community as a support to provide services such as life care, medical rehabilitation and spiritual consolation for a resident, wherein the community care for the aged is an aid for the home-based care for the aged. The family endowment is based on families, social services and government services are allowed to go into families of the residents, the family endowment and social services are organically combined, and a warm and familiar endowment environment is created for the residents.
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 patent application with the application number of CN202011488381.4 provides an Internet-based home-based care and management service system, which comprises a hosting application client, a hosting service client and a management server, wherein the hosting application client and the hosting service client are both in communication connection with the management server; the management server provides information link and data support for the hosting application client to realize registration and service application submitting functions and the hosting service client to realize registration and login, hosting task obtaining and old people health information management functions. This system links up old man or old man's children and can provide assistance service personnel through the internet, and one side proposes the service application, and the other party draws the service task according to the actual conditions of oneself, has improved solitary old man's quality of life at to a great extent, and for high asylum of nursing service expense, this system is when satisfying old man daily life demand, and the expense is lower, more can be applicable to the old man of different consumption levels and use. 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.
Disclosure of Invention
In order to solve the technical problems, the invention provides a data acquisition and data processing system and method for designing a home-based care system.
The data acquisition system comprises a first type sensor, a second type sensor and a third type sensor; the working modes of the first type sensor, the second type sensor and the third type sensor are different;
the data processing system receives first type sensing data acquired by the first type sensor, and obtains a first data pattern analysis result after data pattern analysis is performed; receiving third type sensing data acquired by a third type sensor, and obtaining a third data trend analysis result after performing data trend analysis; and adjusting the working mode of the first type of sensor or the third type of sensor based on the first data pattern analysis result and the third data trend analysis result.
The method comprises the steps of collecting various sensor data generated by home-based care through a home sensor network, carrying out data processing, and designing or adjusting control parameters of a home-based care system based on the processing result.
The above-described aspects of the invention will be described in different aspects and from different perspectives. However, it is understood that although different angles are shown, those skilled in the art will appreciate that various technical solutions with different angles and directions may be combined, for example, the data acquisition system may be connected with the data processing system to implement the data acquisition and processing method.
In a first aspect, the present invention is directed to a data acquisition system for use in the design of a home care system.
In the data acquisition system, a plurality of sensors distributed at different positions of a target area are included; the target area is a home-based care place;
the plurality of sensors includes a first type of sensor, a second type of sensor, and a third type of sensor;
the first type of sensor is arranged on a roof, a floor and a plurality of target objects;
the second type of sensor is arranged in a bathroom and a kitchen;
the third type of sensor is a mobile sensor;
the first type of sensor, the second type of sensor and the third type of sensor have different working modes, and the working modes comprise opening time, closing time and sensing modes.
Through the multidimensional sensing data acquired by the sensors of different types of the data acquisition system, after data fusion is carried out on the multidimensional sensing data, the working mode of the sensor network is adjusted based on the data fusion result, so that reference is provided for the design and control parameter formulation of the home-based care system.
In a second aspect of the present invention, a data processing system is provided, which is in communication with the aforementioned data acquisition system, and is configured to acquire a plurality of sensing data acquired by the plurality of sensors and then perform data pattern and data trend analysis.
Specifically, the data processing system receives first-class sensing data acquired by the first-class sensor, and obtains a first data pattern analysis result after data pattern analysis is performed;
the data processing system receives third type sensing data acquired by the third type sensor, and obtains a third data trend analysis result after data trend analysis is performed;
and adjusting the working mode of the first type of sensor or the third type of sensor based on the first data pattern analysis result and the third data trend analysis result.
For a second type of sensor, the data processing system receives second type of sensing data acquired by the second type of sensor and executes data early warning analysis;
and when the data early warning analysis result meets a preset condition, sending an early warning signal to the electronic equipment of the target user in the target area.
Further, the data processing system performs the data pattern analysis using a first data analysis model and performs the data trend analysis using a third data trend analysis model; and when the result of the data early warning analysis meets a preset condition, performing model parameter correction on the first data analysis model or the third data trend analysis model based on second type sensing data acquired by a second type sensor.
The first data analysis model and the third data trend analysis model may be time series analysis and prediction models.
The data pattern analysis comprises forming a generation pattern of the data, wherein the generation pattern comprises a generation time and a generation frequency and a duration of each generation;
the data trend analysis includes predicting a time of generation of the data over a future time period and a predicted value of sensory data generated in the future.
In a third aspect of the present invention, based on the data acquisition and processing system of the first and second aspects, there is provided a data acquisition and data processing method for home care system design, the method acquires a plurality of kinds of sensor data generated by home care through a home sensor network, and performs data processing, and then performs control parameter design of the home care system based on the processing result, the control parameter design includes adjusting an operation mode of the home sensor network.
The working mode of the home sensor network comprises an alternative working mode of various sensors;
the alternating operation mode enables the first type sensor and the third type sensor to be in an operation state alternately.
The method of the third 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 the fourth 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.
According to the technical scheme, different types of sensing data are collected through the multi-sensor network, data trend analysis and data mode analysis are respectively carried out according to categories, and data fusion is carried out based on comparison of data trend analysis and data mode analysis results, so that the working mode of the multi-sensor network is adjusted, the problem of multi-sensor data fusion is effectively solved, similarities, patterns and trends of the sensor data can be found, and objective data reference is provided for control and adjustment of the multi-sensor network in a home-based old-age environment.
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 layout of a data acquisition system according to an embodiment of the present invention
FIG. 2 is a schematic diagram of data control flow for the different classes of sensors of FIG. 1
FIG. 3 is a schematic diagram of a data processing system implemented based on the system of FIG. 1
FIG. 4 is a flow chart of a data acquisition and processing method implemented based on the systems of FIGS. 1 and 3
FIG. 5 is a schematic diagram of the overall system components for implementing the method of FIG. 4
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, a sensor layout of a data acquisition system according to an embodiment of the present invention is shown.
In fig. 1, the system comprises a plurality of sensors 1, 2, 3 distributed at different locations of a target area, which is a home care location.
The plurality of sensors comprises a first type of sensor 1, a second type of sensor 2 and a third type of sensor 3;
the first type of sensor 1 is arranged on a roof, a floor and a plurality of target objects;
the second type of sensor 2 is arranged in a bathroom and a kitchen;
the third type of sensor 3 is a motion sensor.
In the embodiment of the present invention, data pattern analysis and data trend analysis are performed for each of the first type sensor 1 and the third type sensor 3, and then, based on the data pattern analysis and data trend analysis results, the operation mode of the first type sensor 1 and the third type sensor 3 is adjusted.
And for the second type sensor 2, executing early warning analysis, and when the early warning analysis result meets a preset condition, taking the sensor data of the corresponding second type sensor 2 at the moment as the correction data of the data pattern analysis and the data trend analysis.
Therefore, in summary, the first type of sensor, the second type of sensor, and the third type of sensor have different operation modes, and the operation modes include an on time, an off time, and a sensing mode.
The sensing mode includes a detection mode of the sensor, including setting of a near-field detection mode. For example, for the first type of sensor and the third type of sensor, the near field detection mode may include an infrared detection and a bluetooth detection mode.
And when the target is in a relative static state, executing the Bluetooth detection mode, and when the target is in a relative motion state, executing the infrared detection mode.
In particular, on the basis of fig. 1, see fig. 2.
In FIG. 2, the data pattern analysis is performed using a first data analysis model and the data trend analysis is performed using a third data trend analysis model;
performing data early warning analysis on second-class sensing data acquired by the second-class sensor by adopting a data threshold early warning mode;
and when the result of the data early warning analysis meets a preset condition, performing model parameter correction on the first data analysis model or the third data trend analysis model based on second type sensing data acquired by a second type sensor.
In the embodiments of fig. 1-2, preferred implementations of the various different kinds of embodiments are as follows:
the first type of sensor comprises a tracking and positioning sensor and a mercury touch sensor;
the tracking and positioning sensors are arranged on the roof and the floor of the target area and are used for tracking the activity track of the home-based elderly people who move in the target area;
the mercury touch sensor is arranged on the target objects and used for detecting whether the target objects are picked up, put down or moved.
The second type of sensor comprises a floating sensor and a flame sensor;
the floating sensor comprises a water quantity 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 type of sensor is a wireless signal detection sensor;
the wireless signal detection sensor is used for detecting the strength of a wireless signal of the electronic equipment, and determining the use mode of the electronic equipment of the target user in the target area based on the strength and duration of the wireless signal received by the plurality of wireless signal detection sensors at different positions.
By way of example and not limitation, the usage patterns of the target user's electronic device include the duration of use of the electronic device by the target user in various target areas and future predicted usage periods.
With reference to fig. 3, a schematic diagram of a data processing system implemented based on the system described in fig. 1 is shown.
In fig. 3, the data processing system receives first type sensing data collected by the first type sensor, and obtains a first data pattern analysis result after performing data pattern analysis;
the data processing system receives third type sensing data acquired by the third type sensor, and obtains a third data trend analysis result after data trend analysis is performed;
and adjusting the working mode of the first type of sensor or the third type of sensor based on the first data pattern analysis result and the third data trend analysis result.
The data processing system includes a plurality of time series analysis models;
performing the data pattern analysis and the data trend analysis by the time series analysis model.
The data pattern analysis comprises forming a generation pattern of the data, wherein the generation pattern comprises generation time and generation frequency, duration of each generation and a generation area;
the data trend analysis includes predicting a time of generation of the data over a future time period, a generation region, and a predicted value of sensory data generated in the future.
Based on fig. 1-3, reference is next made to fig. 4-5.
In fig. 4, the main steps of a data acquisition and data processing method for designing a home care system are provided, which includes steps S901 to S903, and each step is specifically implemented as follows:
s901: collecting various sensor data generated by home-based care for the aged through a home sensor network;
s902: performing data fusion processing on the data after data trend and pattern analysis;
s903: and designing control parameters of the home old-age caring system based on the processing result, wherein the control parameter design comprises adjusting the working mode of the home sensor network.
Preferably, the working mode of the home sensor network comprises an alternating working mode of a plurality of types of different sensors;
the alternating pattern causes the first type of sensor and the third type of sensor to be alternately active.
FIG. 5 is a schematic diagram of the overall system components implementing the method of FIG. 4, in FIG. 5 the home sensor network acquiring the various sensor data via the data acquisition system of FIGS. 1-2; the data processing is performed based on the data processing system described in fig. 3.
In the above-described embodiments of the present invention, the other techniques mentioned may employ various schemes known in the art, such as data fusion, data pattern analysis, data trend analysis, and the like. The improvement of the present invention is not in the use of these data fusion models or pattern analysis models or trend analysis models themselves, and therefore, is not expanded upon.
The relevant prior art can be found in:
[1] research of doctor and nurse combined type intelligent home-based care service mode based on internet of things [ D ] Yanshan university 2020.
[2] Huangjian, Zhang Rui, Hu Gong Yu, a study of the daily life circle of the elderly based on spatio-temporal behavior-space recognition and feature analysis [ J ]. City planning journal, 2019(03):87-95.
[3] Application of wireless sensor network in environmental monitoring [ J ] green environmental building materials 2021(02):43-44.
[4] Liukai qiang, high-efficiency real-time wireless sensor network data fusion algorithm research [ D ]. university of denna, 2016.
The invention has the important improvement point that different types of sensor networks are adopted for different target areas, and based on monitoring data under the home-based care environment obtained by the different types of sensor networks, on one hand, the working mode of the existing sensor network is adjusted, on the other hand, the design and control parameters of the home-based care environment can be improved based on the monitoring data, and the design and control parameters comprise area designs of the different target areas, starting time settings (such as automatic light-on time periods) of electronic equipment of the different target areas, the quantity design of the different types of sensors and the like, so that the parameter configuration of the home-based care system is more humanized and intelligent.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A data acquisition system comprising a plurality of sensors distributed at different locations in a target area,
the method is characterized in that:
the target area is a home-based care place;
the plurality of sensors includes a first type of sensor, a second type of sensor, and a third type of sensor;
the first type of sensor is arranged on a roof, a floor and a plurality of target objects;
the second type of sensor is arranged in a bathroom and a kitchen;
the third type of sensor is a mobile sensor;
the first type of sensor, the second type of sensor and the third type of sensor have different working modes, and the working modes comprise opening time, closing time and sensing modes.
2. A data acquisition system as claimed in claim 1, wherein:
the first type of sensor comprises a tracking and positioning sensor and a touch sensor;
the tracking and positioning sensors are arranged on the roof and the floor of the target area and are used for tracking the activity track of the home-based elderly people who move in the target area;
the tactile sensor is arranged on the target objects and used for detecting whether the target objects are picked up, put down or moved.
3. A data acquisition system as claimed in claim 1, wherein:
the second type of sensor comprises a floating sensor and a flame sensor;
the floating sensor comprises a water quantity 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.
4. A data acquisition system as claimed in claim 1, wherein:
the third type of sensor is a wireless signal detection sensor;
the wireless signal detection sensor is used for detecting the strength of a wireless signal of the electronic equipment, and determining the use mode of the electronic equipment of the target user in the target area based on the strength and duration of the wireless signal received by the plurality of wireless signal detection sensors at different positions.
5. A data processing system in communication with the data acquisition system of any one of claims 1-4 for performing data pattern and data trend analysis after acquiring the plurality of sensory data acquired by the plurality of sensors;
the method is characterized in that:
the data processing system receives first type sensing data acquired by the first type sensor, and obtains a first data pattern analysis result after data pattern analysis is performed;
the data processing system receives third type sensing data acquired by the third type sensor, and obtains a third data trend analysis result after data trend analysis is performed;
and adjusting the working mode of the first type of sensor or the third type of sensor based on the first data pattern analysis result and the third data trend analysis result.
6. A data processing system as claimed in claim 5, characterized in that:
the data processing system receives second type sensing data acquired by the second type sensor and executes data early warning analysis;
and when the data early warning analysis result meets a preset condition, sending an early warning signal to the electronic equipment of the target user in the target area.
7. A data processing system as claimed in claim 5, characterized in that:
the data processing system includes a plurality of time series analysis models;
performing the data pattern analysis and the data trend analysis by the time series analysis model.
8. A data processing system as claimed in claim 7, characterized in that:
the data pattern analysis comprises forming a generation pattern of the data, wherein the generation pattern comprises a generation time and a generation frequency and a duration of each generation;
the data trend analysis includes predicting a time of generation of the data over a future time period and a predicted value of sensory data generated in the future.
9. A data acquisition and data processing method for home-based care system design is characterized in that a plurality of kinds of sensor data generated by home-based care are acquired through a home-based sensor network, and after data processing is performed, control parameter design of the home-based care system is performed based on the processing result, wherein the control parameter design comprises adjustment of the working mode of the home-based sensor network;
the method is characterized in that:
the home sensor network acquiring the plurality of sensor data through the data acquisition system of any one of claims 1-4;
the data processing is performed on the basis of the data processing system of any one of claims 5-8.
10. A data acquisition and data processing method for home care system design according to claim 9, characterized in that:
the working mode of the home sensor network comprises an alternative working mode of various sensors;
the alternating operation mode enables the first type sensor and the third type sensor to be in an operation state alternately.
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| CN111583582A (en) * | 2020-04-24 | 2020-08-25 | 吉林省大河智能科技有限公司 | Behavior analysis system of multi-sensor information fusion technology suitable for home-based care of the aged |
| CN111681149A (en) * | 2020-06-05 | 2020-09-18 | 视云融聚（广州）科技有限公司 | Nursing home guardianship object refined monitoring method, storage device and mobile terminal |
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