CN113504733B - Data acquisition and data processing system and method for home care system design - Google Patents
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
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- G—PHYSICS
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Abstract
The invention provides a data acquisition and data processing system and method for home care system design. 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 a first type sensor, and obtains a first data mode analysis result after data mode analysis is performed; receiving third-type sensing data acquired by a third-type sensor, and obtaining 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 mode analysis result and the third data trend analysis result. According to the method, after the data processing is performed by collecting various sensor data generated by the home-based care, the control parameter design or adjustment of the home-based care system is performed 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 home endowment system design and a computer program instruction medium for realizing the method.
Background
With the continuous development of the aging of China, the aged people become important subjects to be valued at the national level. The home care is a traditional home care mode in China, home care service is based on families, communities are supported, and services such as life care, medical rehabilitation, mental soothing and the like are provided for home long-people, wherein the community care service is an aid to the home care service. The home-based care is based on the family, so that social service and government service are led into the family of the senior citizens, the home-based care and the social service are organically combined, and a warm and familiar care environment is created for the senior citizens.
In order to better configure medical care resources, provide higher quality and convenient services for home-oriented long-life, more and more foreign students put research focus on the application of the internet of things technology in the field of home care in recent years. The invention patent application of China with the application number of CN202011488381.4 provides an Internet-based home-based care hosting 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 functions of registering and submitting service application for the managed application client, registering and logging for the managed service client, acquiring managed tasks and managing health information of old people. The system links the old or children of the old with the assistance service staff through the Internet, one party provides a service application, the other party obtains a service task according to the actual condition of the other party, the living quality of the solitary old is improved to a great extent, and compared with the service cost of a high nursing home, the system meets the daily life requirement of the old, and meanwhile, the cost is lower, so that the system is more suitable for the old with different consumption grades. The Chinese patent application with the application number of CN202110054121.4 provides a multifunctional home 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 common camera in the prior equipment, but monitors the activity of a user through a microwave probe hidden in a night lamp, analyzes the daily activity frequency of the user, and timely reports the activity frequency data of the user to a background server, thereby playing 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 focus on the data monitoring followed by corresponding measures, which are essentially a static passive monitoring mode, without taking into account the objective activities of the home-based care givers themselves and the personalized needs exhibited by the objective activities. Especially, in different areas under the same home care environment, the activity track, the activity range, the duration and the like of the care personnel are not paid attention for a long time, so that the requirements of the relevant personnel are not fully 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 unchanged once configured, the personalized requirements of actual personnel are not considered at the beginning of the configuration, and the later period cannot be adjusted, so that the design of home-based care environment and control system does not embody humanization, individuation and intelligent unification.
Disclosure of Invention
In order to solve the technical problems, the invention provides a data acquisition and data processing system and method for the design of a home 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 a first type sensor, and obtains a first data mode analysis result after data mode analysis is performed; receiving third-type sensing data acquired by a third-type sensor, and obtaining 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 mode analysis result and the third data trend analysis result.
According to the method, after the data processing is performed by collecting various sensor data generated by the home-based care, the control parameter design or adjustment of the home-based care system is performed based on the processing result.
The above-described aspects of the present invention will be described below from different aspects and angles, respectively. However, it is to be understood that although different angles are shown, those skilled in the art will appreciate that various aspects of different angles and directions may be combined, for example, the data acquisition system may be connected to the data processing system, so as 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 a home care system design.
In the data acquisition system, a plurality of sensors are included, which are distributed at different positions of a target area; the target area is a home 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;
and the working modes of the first type sensor, the second type sensor and the third type sensor are different, and the working modes comprise an opening time, a closing time and a sensing mode.
The multi-dimensional sensing data acquired by the plurality of different types of sensors of the data acquisition system are used for carrying out data fusion, and then the working mode of the sensor network is adjusted based on the data fusion result, so that references are provided for 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, for performing data pattern and data trend analysis after acquiring a plurality of sensor data acquired by the plurality of sensors.
Specifically, 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 sensor or the third type sensor based on the first data mode analysis result and the third data trend analysis result.
For the second type of sensor, the data processing system receives second type of sensing data acquired by the second type of sensor and performs data early warning analysis;
and when the result of the data early warning analysis meets the 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 data early warning analysis result meets a preset condition, executing 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 includes forming a generation pattern of the data, the generation pattern including 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 the future generated sensor data.
In a third aspect of the present invention, there is provided a data acquisition and data processing method for home care system design, which acquires various sensor data generated by a home care through a home sensor network, performs data processing, and performs control parameter design of the home care system based on the processing result, wherein the control parameter design includes adjusting an operation mode of the home sensor network.
The working modes of the home sensor network comprise alternating working modes of a plurality of different types of sensors;
the alternating working mode enables the first type of sensor and the third type of sensor to be in working states alternately.
The method of the third aspect may be performed automatically by program instructions by a terminal device, in particular an image processing terminal device, comprising a mobile terminal, a desktop terminal, a server cluster, etc., comprising a processor and a memory, and thus, in a fourth aspect of the invention, a computer readable storage medium is also provided, on which computer program instructions are stored; the program instructions are executed by an image terminal processing device comprising a processor and a memory for carrying out 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 kinds of sensing data are acquired 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, different types, modes 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 care environment.
Further advantages of the invention will be further elaborated in the description section of the embodiments in connection with the drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are 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 other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a sensor layout of a data acquisition system according to one embodiment of the invention
FIG. 2 is a schematic diagram of a data control flow for the different types 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 composition of a system for implementing the method of FIG. 4
Detailed Description
The invention will be further described with reference to the drawings and detailed description.
Referring to FIG. 1, a schematic diagram of a sensor layout of a data acquisition system according to one embodiment of the present invention is shown.
In fig. 1, the system comprises a plurality of sensors 1, 2, 3 distributed in different locations of a target area, which is a home care location.
The plurality of sensors includes a first type of sensor 1, a second type of sensor 2, and a third type of sensor 3;
the first type sensor 1 is arranged on a roof, a floor and a plurality of target objects;
the second type 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 modes of the first-type sensor 1 and the third-type sensor 3 are adjusted.
And for the second type sensor 2, performing early warning analysis, and taking the sensor data of the second type sensor 2 corresponding to the early warning analysis result at the moment as the correction data of the data pattern analysis and the data trend analysis when the early warning analysis result meets the preset condition.
Thus, as a generalization, the operation modes of the first type sensor, the second type sensor, and the third type sensor are different, 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 a 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 infrared detection and bluetooth detection modes.
And when the target is in a relatively static state, executing the Bluetooth detection mode, and when the target is in a relatively moving 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-type sensing data acquired by the second-type sensor by adopting a data threshold early warning mode;
and when the data early warning analysis result meets a preset condition, executing 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 includes a tracking position sensor and a mercury touch sensor;
the tracking and positioning sensor is arranged on the roof and the floor of the target area and is used for tracking the activity track of the home-care user who is active in the target area;
the mercury touch sensor is arranged on the target objects and is used for detecting whether the target objects are lifted, 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 quantity floating sensor is used for recording the water quantity using time and the using frequency of the bathroom;
the gas-liquid float sensor is used for recording the gas quantity and duration of the kitchen firing use.
The third type of sensor is a wireless signal detection sensor;
the wireless signal detection sensor is used for detecting the intensity of wireless signals of the electronic equipment and determining the use mode of the electronic equipment of the target user of the target area based on the intensity and duration of the wireless signals received by the plurality of wireless signal detection sensors at different positions.
By way of illustrative, non-limiting example, the usage pattern of the target user's electronic device includes the duration of the target user's usage of the electronic device in each of the different target areas and the future predicted usage period.
With reference to FIG. 3, a schematic diagram of a data processing system implemented based on the system of FIG. 1 is shown.
In fig. 3, the data processing system receives the first type of sensing data acquired by the first type of 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 sensor or the third type sensor based on the first data mode analysis result and the third data trend analysis result.
The data processing system includes a plurality of time series analysis models;
the data pattern analysis and the data trend analysis are performed by the time series analysis model.
The data pattern analysis includes forming a generation pattern of the data, the generation pattern including a generation time and a generation frequency, a duration of each generation, and a generation region;
the data trend analysis includes predicting a time of generation of the data over a future time period, a region of generation, and a predicted value of the future generated sensor data.
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 home care system design are provided, including steps S901-S903, where each step is specifically implemented as follows:
s901: acquiring various sensor data generated by home care through a home sensor network;
s902: executing data trend and pattern analysis on the data, and then executing data fusion processing;
s903: and carrying out control parameter design of the home-based care system based on the processing result, wherein the control parameter design comprises the step of adjusting the working mode of the home-based sensor network.
Preferably, the operation mode of the home sensor network comprises an alternate operation mode of a plurality of different types of sensors;
the alternating pattern causes the first type of sensor and the third type of sensor to be alternately in an operational state.
FIG. 5 is a schematic diagram of the overall system components for implementing the method of FIG. 4, wherein in FIG. 5, the home sensor network obtains the plurality of 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 does not consist in using these data fusion models or pattern analysis models or trend analysis models themselves, and therefore, does not develop this.
The relevant prior art can be found in:
[1] fu Kan medical and nursing combined intelligent home care service mode research [ D ] Yan Shanda science 2020 based on the technology of Internet of things.
[2] Huang Jianzhong, zhang Ruiqi, hu Gang. Senior citizens' life circle study based on space behavior-space recognition and feature analysis [ J ]. Urban planning journal 2019 (03): 87-95.
[3] Chen Tao application of the wireless sensor network in environmental monitoring [ J ]. Green building materials, 2021 (02): 43-44.
[4] Liu Kaijiang the data fusion algorithm of the wireless sensor network is researched by [ D ]. University of Henan, 2016.
The invention has the important improvement points that different kinds of sensor networks are adopted for different target areas, and based on the monitoring data under the home-based environment obtained by the different kinds of sensor networks, on one hand, the working mode of the existing sensor networks is regulated, on the other hand, the design and control parameters of the home-based environment can be improved based on the monitoring data, the design and control parameters comprise the area designs of the different target areas, the on-time settings (such as automatic on-time period) of the electronic equipment of the different target areas, the number designs of the different kinds of sensors and the like, so that the parameter configuration of the home-based system is more humanized and intelligent.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A data acquisition system comprising a plurality of sensors distributed at different locations in a target area, characterized by:
the target area is a home care place; the plurality of sensors includes a first type of sensor, a second type of sensor, and a third type of sensor;
the third type of sensor is a mobile sensor;
the working modes of the first type sensor, the second type sensor and the third type sensor are different, and the working modes comprise an opening time, a closing time and a sensing mode;
the data acquisition system is communicated with the data processing system;
the data processing system receives first type sensing data acquired by the first type sensor, and obtains a first data pattern analysis result after a first data analysis model is adopted to execute data pattern analysis; the data pattern analysis includes forming a generation pattern of the data, the generation pattern including a generation time and a generation frequency and a duration of each generation;
the data processing system receives second-type sensing data acquired by the second-type sensor and performs data early warning analysis; when the data early warning analysis result meets a preset condition, an early warning signal is sent to the electronic equipment of a target user in the target area;
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 by adopting a third data trend analysis model; the data trend analysis includes predicting a time of generation of the data over a future time period, and a predicted value of future generated sensor data;
adjusting the working mode of the first type sensor or the third type sensor based on the first data mode analysis result and the third data trend analysis result;
performing data early warning analysis on second-type sensing data acquired by the second-type sensor by adopting a data threshold early warning mode;
and when the data early warning analysis result meets a preset condition, executing 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.
2. A data acquisition system as claimed in claim 1, wherein:
the first type of sensor is arranged on a roof, a floor and a plurality of target objects;
the first type of sensor includes a tracking position sensor and a tactile sensor;
the tracking and positioning sensor is arranged on the roof and the floor of the target area and is used for tracking the activity track of the home-care user who is active in the target area;
the touch sensor is arranged on the plurality of target objects and is 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 is arranged in a bathroom and a kitchen;
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 quantity floating sensor is used for recording the water quantity using time and the using frequency of the bathroom;
the gas-liquid floating sensor is used for recording the gas quantity and duration of kitchen 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 intensity of wireless signals of the electronic equipment and determining the use mode of the electronic equipment of the target user of the target area based on the intensity and duration of the wireless signals received by the plurality of wireless signal detection sensors at different positions.
5. A data acquisition system as claimed in claim 1, wherein:
the data processing system includes a plurality of time series analysis models;
the data pattern analysis and the data trend analysis are performed by the time series analysis model.
6. The method comprises the steps of collecting various sensor data generated by home care through a home sensor network, performing data processing, and then performing control parameter design of the home care system based on a processing result, wherein the control parameter design comprises the step of adjusting a working mode of the home sensor network; the method is characterized in that:
the home sensor network obtains the plurality of sensor data through the data acquisition system of any one of claims 1-5.
7. The data acquisition and data processing method for home care system design of claim 6, wherein:
the working modes of the home sensor network comprise alternating working modes of a plurality of different types of sensors; the alternating working mode enables the first type of sensor and the third type of sensor to be in working states alternately.
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| 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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