CN113205440A - Smart community endowment service Internet of things system - Google Patents
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
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- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention provides an intelligent community endowment service Internet of things system which comprises a first number of data acquisition units distributed at a plurality of different positions and a second number of edge calculation units corresponding to the first number of data acquisition units. Each data acquisition unit acquires state parameters of the target person within a preset range, and the third number of data acquisition units send the acquired state parameters to the second edge calculation unit; the second edge calculation unit executes data edge calculation processing to generate a data edge calculation result; and based on the data edge calculation result, the second edge calculation unit sends a feedback signal to the data acquisition unit, and the feedback signal enables the data acquisition unit to send a prompt signal to the target person when the data acquisition unit detects that the target person enters the preset range again. According to the technical scheme, the social advice is provided after the community endowment time and space attribute analysis is realized by using the local internet of things communication technology.
Description
Technical Field
The invention belongs to the technical field of intelligent community internet of things, and particularly relates to an intelligent community endowment service internet of things system.
Background
According to the regulations of the united nations, the fact that the number of people over sixty years of age of a country or region exceeds 10% of the total population or the fact that the number of people over sixty-five years of age exceeds 7% of the total population is equivalent to the step into the aged society. The number of the aged population in China is currently on the trend of increasing year by year, and the data of over sixty years of age reaches 17% by 2020, 19.3% by 2025 and 25% by the middle of the century. The problem of aging under the background of aging of the population with increasingly severe current situation is increasingly highlighted, and the problem becomes a practical problem which is urgently needed to be solved in the social development of China.
The advantages of the high-end endowment institutions such as nursing homes and nursing homes are that facilities are perfect and service standards are normal, but the problem lies in that the high-end endowment institutions are not enough in quantity and high in charge, and meanwhile, the old people not only need to meet the requirements on materials but also need mental care, and the institutional endowment is not beneficial to the communication between the old people and relatives and friends, so that the old people are depressed in life internal centers in the endowment institutions for a long time.
The community endowment uses the existing family of the old age group as an endowment living place and the government as a leading factor, the community builds an endowment service platform, the senior service is taken as a main service, the old-age support service is taken as an auxiliary service, the existing resources of the society are coordinated, such as social non-profit organization and related civil enterprises provide endowment facilities and services for the old age group in the community, the material and mental requirements of the old people are met, and the community is an endowment hospital without a fence. The elderly have a sense of belonging in a familiar environment. The community endowment has the advantages of home endowment and institutional endowment, and is also suitable for the urbanization development trend of China, so that the community endowment becomes an important endowment service mode increasingly.
The invention provides a Chinese patent application with application number CN202010902429.5, which provides a smart community endowment health intelligent analysis management system based on big data, comprising an information input module, an age interval information classification module, a health monitoring terminal, a health index acquisition module, a health index analysis module, a GPS positioning module, a database, a health index common management module, a health coefficient comprehensive analysis module and a general monitoring platform, wherein the system realizes intelligent endowment management of the old people in the community by carrying out statistical classification on the information of the old people in the community, wearing the health monitoring terminal to each old person respectively to detect each health index, further carrying out intelligent analysis alarm on different health indexes of each old person, avoiding the problem that each old person cannot be monitored in real time due to limited community service personnel, and simultaneously detecting abnormal health indexes and encountered accidents of the old people in time, greatly reducing the occurrence of dangerous accidents and ensuring the life health of the old.
However, the above prior art focuses only on health monitoring aspects, and neglects the psychological needs, especially social needs, of the elderly. Meanwhile, due to the asymmetric information, the phenomenon that some mental requirements of the old are difficult to be effectively met or even the situation of being completely ignored exists for the long time in the community endowment. How reasonable collection old person's various state parameters realize after the big data sharing analysis, form into the old person and provide the online interactive, the digital service in aspects such as professional clothing, food, live, line, medical treatment, social, shopping, health care, recovery, trusteeship of community to the social range of old person is expanded, solve the old person's of community problem of supporting old age with minimum cost, highest efficiency, the most convenient service, become one of the technical problem that awaits the solution urgently.
Disclosure of Invention
In order to solve the technical problem, the invention provides an intelligent community endowment service internet of things system which comprises a first number of data acquisition units distributed at a plurality of different positions and a second number of edge calculation units corresponding to the first number of data acquisition units. Each data acquisition unit acquires state parameters of the target person within a preset range, and the third number of data acquisition units send the acquired state parameters to the second edge calculation unit; the second edge calculation unit executes data edge calculation processing to generate a data edge calculation result; and based on the data edge calculation result, the second edge calculation unit sends a feedback signal to the data acquisition unit, and the feedback signal enables the data acquisition unit to send a prompt signal to the target person when the data acquisition unit detects that the target person enters the preset range again.
Specifically, the smart community endowment service internet of things system is distributed in a first number of data acquisition units at a plurality of different positions of the smart community, and a second number of edge calculation units corresponding to the first number of data acquisition units.
In specific implementation, each data acquisition unit is used for acquiring state parameters of a target person within a preset range;
the third number of data acquisition units send the acquired state parameters to the second edge calculation unit;
the second edge calculation unit executes data edge calculation processing based on the state parameter to generate a data edge calculation result;
based on the data edge calculation result, the second edge calculation unit sends a feedback signal to the data acquisition unit, and the feedback signal enables the data acquisition unit to send a prompt signal to the target person when the data acquisition unit detects that the target person enters the preset range again;
and the first number is greater than the second number, and the third number is less than a ratio of the first number to the second number.
When the method is implemented, the state parameters of the target person are obtained through a combined sensor; the combined sensor comprises one of a mobile terminal and a wearable device or a combination of the mobile terminal and the wearable device.
As a further improvement, each of the data acquisition units includes a first proximity sensor; each of the combination sensors includes a second proximity sensor;
when the first proximity sensor and the second proximity sensor are successfully paired, the data acquisition unit corresponding to the first proximity sensor acquires the state parameters of the target person sent by the combined sensor corresponding to the second proximity sensor.
According to the technical scheme, the social advice is provided after the community endowment time and space attribute analysis is realized by using the local internet of things communication technology.
The state parameters comprise a temporal attribute and a spatial attribute;
the temporal attribute characterizes a generation time period of the state parameter, and the spatial attribute characterizes a generation path of the state parameter.
As a further improvement, the state parameters may further include personal interest parameters and the like, so as to provide more social factors for subsequent prompt signal expansion, that is, by using a local internet of things communication technology, social advice is provided after analysis of community endowment time and spatial attributes is realized.
Further, in the above-mentioned technical solution of the present invention, the first number of data acquisition units are fixedly disposed in a plurality of activity ranges or in the vicinity of activity paths of the smart community, and the number and the positions of the second number of edge calculation units may be dynamically adjusted based on factors such as a generation cycle, a generation range, a temporal attribute, a spatial attribute, and a result of edge calculation of the state parameter of the target person.
The invention adopts the edge computing technology, thereby avoiding the delayed communication caused by the interaction of data and the cloud end and reducing the data communication cost; data communication is carried out based on the local Internet of things technology, network communication is not relied on, and the system is better suitable for the endowment service in the community area range; the number and the positions of the edge computing units can be adjusted based on actual conditions, the computing power of each edge computing unit is fully utilized, and cost is saved.
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 data communication between functional modules of an Internet of things system for smart community endowment services according to an embodiment of the present invention
FIG. 2 is a schematic diagram of a spatial layout of the Internet of things system for the intelligent community endowment service shown in FIG. 1
FIG. 3 is a schematic diagram of a dynamically adjusted spatial layout of the Internet of things system for the intelligent community endowment service of FIG. 1
FIG. 4 is a schematic diagram of the system of FIG. 1 illustrating the connection for obtaining status parameters of a target person
FIG. 5 is a schematic flow chart of a first embodiment of the system of FIG. 1 for generating feedback recommendations
FIG. 6 is a schematic flow diagram of a second embodiment of the system of FIG. 1 for generating feedback recommendations.
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, a schematic diagram of data communication between functional modules of an internet of things system for smart community endowment services according to an embodiment of the present invention is shown.
In the embodiment of fig. 1, the factors involved in the intelligent community endowment service internet of things system comprise a target person, a data acquisition unit and an edge calculation unit; furthermore, although not shown in fig. 1, the target person may be provided with a combination sensor for acquiring at least one state parameter of the target person.
As an example, the combination sensor may be a mobile terminal, such as a cell phone;
as a preferred example, the combination sensor may be a wearable device, such as a sports watch, a wearable garment, wearable sports glasses, or the like.
In the embodiment of fig. 1, the data communication signals between the functional modules related to the internet of things system of the intelligent community endowment service comprise:
the state parameters which are sent to the data acquisition unit through the target person and are obtained by monitoring of the combined sensor;
each data acquisition unit collects a plurality of state parameters sent by a plurality of different target characters;
the plurality of data acquisition units send the plurality of summarized state parameters to the corresponding same edge calculation unit;
each edge calculation unit executes edge calculation processing based on a plurality of state parameters sent by a plurality of data acquisition units corresponding to the edge calculation unit, and generates an edge calculation processing result;
each edge calculation unit generates a feedback signal based on the edge calculation processing result and sends the feedback signal to a plurality of corresponding data acquisition units;
the feedback signal enables the data acquisition unit to generate a prompt signal, and the prompt signal is sent to the target person when the data acquisition unit carries out data interaction with the target person next time.
It should be noted that the embodiment of fig. 1 only shows one group of situations in the above embodiments, that is, fig. 1 includes three target persons, 2 data acquisition units and one edge calculation unit, the three target persons send data to the 2 data acquisition units, the 2 data acquisition units correspond to the one edge calculation unit, that is, the one edge calculation unit only accepts the data sent by the 2 data acquisition units, and the 2 data acquisition units can acquire state parameters of at least three target persons in different situations when predetermined conditions are met.
As a more general example, the system may include M data acquisition units distributed at a plurality of different locations of the smart community, N edge calculation units corresponding to the M data acquisition units;
wherein M > N > 1.
In this example, each edge calculation unit at least corresponds to K data acquisition units, where K = M/N, and when K is not an integer, it may be rounded down; preferably, K > 2.
On the basis of fig. 1, see fig. 2. Fig. 2 shows a schematic spatial layout of the internet of things system of the intelligent community endowment service in fig. 1.
In fig. 2, the target person is an elderly person who is active in the smart community.
The target person can move along a plurality of different paths of the intelligent community, and a plurality of data acquisition units are distributed in a preset range of the different paths;
meanwhile, the target person is configured with wearable equipment, a sports watch, wearable clothes, wearable sports glasses and the like, and is used for acquiring various state parameters of the target person in real time, wherein the state parameters include one of physiological state parameters and motion state parameters or a combination of the physiological state parameters and the motion state parameters.
By way of example, the physiological state parameters may include heart rate, blood pressure, blood oxygen saturation, etc., which may be obtained by a wearable device configured with physiological parameter sensors;
by way of example, the motion state parameters may include walking speed, number of steps, walking trajectory, etc.;
and acquiring various state parameters of the target person, acquiring generation time and generation place of the state parameters, and generating the space track and time trend of the state parameters after the generation time and the generation place of the state parameters are collected.
In the embodiment of fig. 2, a plurality of edge computing units are distributed in a plurality of different target areas of the smart community.
It is particularly noted that the number of edge calculation units is significantly smaller than the number of data acquisition units, for example, the number of edge calculation units is less than half the number of data acquisition units, i.e. (number of edge calculation units/number of data acquisition units) is less than 2, preferably (number of edge calculation units/number of data acquisition units) is less than 5.
The concepts and principles of the edge computing unit or edge computing device used by various embodiments of the present invention are briefly described herein.
The problems that edge computing is important to solve are the problems of high delay, network instability and low bandwidth in the traditional cloud computing (or central computing) mode. Due to the limitation of resource conditions, the cloud computing service cannot avoid the influence caused by high delay and network instability, but by migrating part or all of the processing programs to be close to users or data collection points, the influence of edge computing on the application programs under a cloud center mode site can be greatly reduced, so that data interaction does not need to exist in a cloud completely, and even can be separated from the cloud.
The edge device has the common characteristics of specialized and fixed application and single function, and can not be universally applied to various scene applications like a cloud although the function can be expanded. And the edge scene is mainly single-machine, even if the small cluster emphasizes, the edge scene is not the characteristic of the mixed scheduling resource pool. Under limited fixed functions and scenes, edge equipment needs to be optimized by various specific software and hardware to best adapt to requirements, and the performance of the single node is optimized extremely. Compared with the application based on the cloud, the edge computing has the characteristic of low time delay and is very suitable for the scene needing to solve the problem on site in real time.
The technical problem of the invention is limited in the range of the intelligent community, so that a wide internet of things connected with the cloud is not necessarily assumed, and therefore, the internet of things can be understood as local internet of things in the range of the intelligent community. However, in order to ensure the timeliness and the accuracy of data processing, an edge calculation processing technology is creatively introduced, so that delay is avoided when a large number of state parameters of target characters are transmitted and processed; meanwhile, in the data transmission process of the local Internet of things, a communication network in the Internet sense is not needed, and only a near field proximity communication technology is needed.
In particular, see fig. 4.
Each of the data acquisition units comprises a first proximity sensor;
each of the combination sensors includes a second proximity sensor;
when the first proximity sensor and the second proximity sensor are successfully paired, the data acquisition unit corresponding to the first proximity sensor acquires the state parameters of the target person sent by the combined sensor corresponding to the second proximity sensor.
It should be noted that, in the above embodiments of the present invention, the proximity sensor may be based on a local proximity detection technology, such as geomagnetic proximity detection, bluetooth proximity detection, infrared proximity detection, and other various local proximity technologies, and this list of local proximity detection technologies does not need network support, so that data transmission is not dependent on a network, and data transmission cost is avoided. Meanwhile, the specific combination improvement of the local area scene of the intelligent community is also considered, and is one of specific improvement means for solving the technical problem.
By way of further illustration, the second edge calculation unit is one of the second number of edge calculation units;
the third number of data acquisition units send the acquired state parameters to the same second edge calculation unit;
and different edge calculation units correspond to different data acquisition units, and different edge calculation units acquire the state parameters sent by different data acquisition units.
As mentioned before, the number of edge calculation units is significantly smaller than the number of data acquisition units. In the layout diagram of fig. 2, there are three edge calculation units and 9 data acquisition units.
It should be noted that the data acquisition unit is configured fixedly within the smart community scope, and preferably, the data acquisition unit may be distributed along a plurality of different activity paths or acquisition areas of the smart community scope;
however, the edge calculation unit itself may be movably configured.
In the layout of fig. 2, in the present case, the left edge calculation unit communicates with three data acquisition units; the lower edge computing unit is communicated with 2 data acquisition units; the edge calculation unit in the upper right corner communicates with three data acquisition units (fig. 2 also includes the data acquisition unit in the lower left corner, which may communicate with other edge calculation units not shown).
On the basis of fig. 2, reference is made to fig. 3. During the system operation monitoring process, communication conditions can be generated according to data, and the positions and the number of the edge computing units can be adjusted.
For example, in fig. 3, originally, the left edge computing unit communicates with three data acquisition units, and the left edge computing unit is located in the upper middle after being adjusted in position and can simultaneously communicate with four data acquisition units;
the edge calculation unit at the upper right corner originally communicates with the three data acquisition units; the edge computing unit in the upper right corner is adjusted to be located in the middle of the right side, and can be in communication with three edge computing units at the same time (including the data acquisition unit in the lower left corner of fig. 2, which is originally in communication with the edge computing unit not shown).
In this embodiment, the edge calculation does not need to communicate with the cloud, and the calculation can be completed locally and autonomously, so that the configuration further utilizes the characteristics of the edge calculation, and the calculation power of each edge calculation unit can be fully utilized, thereby saving the cost.
Based on the basis of fig. 1 to 4, the second edge calculation unit performs data edge calculation processing based on the state parameter, and generates a data edge calculation result; and based on the data edge calculation result, the second edge calculation unit sends a feedback signal to the data acquisition unit, and the feedback signal enables the data acquisition unit to send a prompt signal to the target person when the data acquisition unit detects that the target person enters the preset range again.
More specifically, reference may be made to the embodiments described with reference to fig. 5-6.
As a basis, the state parameters include a temporal attribute and a spatial attribute; the time attribute represents a generation time period of the state parameter, and the space attribute represents a generation path of the state parameter;
the second edge calculation unit performs data edge calculation processing based on the state parameter to generate a data edge calculation result, and specifically includes:
each edge computing unit acquires state parameters sent by a plurality of data acquisition units corresponding to the edge computing unit and stores the state parameters and the code identification numbers of the data acquisition units in an associated manner;
and the edge computing unit counts the occurrence times of the same attribute in all the state parameters and sorts the code identification number according to the occurrence times.
In fig. 5, based on the data edge calculation result, the sending, by the second edge calculation unit, a feedback signal to the data acquisition unit specifically includes: and if the occurrence times of the same time attributes of the state parameters of the target people are greater than a first threshold value, sending the feedback signal to the data acquisition unit.
In fig. 6, based on the data edge calculation result, the sending, by the second edge calculation unit, a feedback signal to the data acquisition unit specifically includes: and if the occurrence times of the same spatial attributes of the state parameters of the target people are greater than a second threshold value, sending the feedback signal to the data acquisition unit.
As an example, the prompt signal prompts the target person to enter the state parameter of the elderly people in the predetermined range at or near the current time period; and sending a prompt signal to the target person when the data acquisition unit detects that the target person enters the preset range again through the feedback signal.
Based on the basis of the invention, the acquisition range of the state parameters can be further expanded, for example, the acquisition range of the state parameters is further expanded from physiological state parameters and motion state parameters to personal interest parameters and the like, so that more social factors are provided for subsequent prompt signal expansion, namely, social suggestions are provided after the analysis of community endowment time and spatial attributes is realized by using a local internet of things communication technology.
Furthermore, the system can also collect the information of the old, deeply analyze the requirements of the old, select the home service of the old care service provider, record the whole service process, supervise the quality of the service, collect the feedback opinions of the service, and provide the digital service in the aspects of online and offline interaction, specialized clothes, food, live, walk, medical treatment, social contact, shopping, health care, rehabilitation, trusteeship and the like for the old. The intelligent community endowment service system is an all-around, all-weather and three-dimensional endowment service system, so that the life of the old people in the community is in a whole-course service state.
For example, the current user may be prompted, and the state parameters, the personal interest parameters, and the like of other senior citizens who enter the predetermined range in or near the current time period may be made to schematically adjust their activity paths and/or activity times so as to expand the same social circle, recognize more other senior citizens with the same needs, and the like, which is not specifically made by the present invention.
As a generalization, the target person changes the temporal attribute and/or the spatial attribute of the status parameter after receiving the prompt signal.
Compared with the prior art, the technical scheme of the invention at least has the following advantages:
(1) by adopting the edge computing technology, delayed communication caused by interaction of data and a cloud end is avoided, and the data communication cost is reduced;
(2) data communication is carried out based on the local Internet of things technology, network communication is not relied on, and the system is better suitable for the endowment service in the community area range;
(3) the acquisition range of the state parameters can be further expanded from physiological state parameters and motion state parameters to personal interest parameters and the like, so that more social factors are provided for subsequent prompt signal expansion, namely, social suggestions are provided after community endowment time and space attribute analysis is realized by using a local internet of things communication technology;
(4) the number and the positions of the edge computing units can be adjusted based on actual conditions, the computing power of each edge computing unit is fully utilized, and cost is saved.
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. The utility model provides a wisdom community endowment services thing networking systems, the system including distribute in the data acquisition unit of the first quantity of a plurality of different positions of wisdom community, corresponding to the marginal calculation unit of the second quantity of the data acquisition unit of first quantity, its characterized in that:
each data acquisition unit is used for acquiring the state parameters of the target person within a preset range,
the third number of data acquisition units send the acquired state parameters to the second edge calculation unit;
the second edge calculation unit executes data edge calculation processing based on the state parameter to generate a data edge calculation result;
based on the data edge calculation result, the second edge calculation unit sends a feedback signal to the data acquisition unit, and the feedback signal enables the data acquisition unit to send a prompt signal to the target person when the data acquisition unit detects that the target person enters the preset range again;
and the first number is greater than the second number, and the third number is less than a ratio of the first number to the second number.
2. The system of claim 1, wherein the system comprises:
the target character is an elderly person who moves in the intelligent community;
the state parameter of the target person comprises one of a physiological state parameter and a motion state parameter of the elderly person or a combination of the physiological state parameter and the motion state parameter.
3. The system of claim 1 or 2, wherein the system comprises:
acquiring the state parameters of the target person through a combined sensor;
the combined sensor comprises one of a mobile terminal and a wearable device or a combination of the mobile terminal and the wearable device.
4. The system of claim 3, wherein the system comprises:
each of the data acquisition units comprises a first proximity sensor;
each of the combination sensors includes a second proximity sensor;
when the first proximity sensor and the second proximity sensor are successfully paired, the data acquisition unit corresponding to the first proximity sensor acquires the state parameters of the target person sent by the combined sensor corresponding to the second proximity sensor.
5. The system of claim 1 or 4, wherein the system comprises:
the second edge calculation unit is one of the second number of edge calculation units;
the third number of data acquisition units send the acquired state parameters to the same second edge calculation unit;
and different edge calculation units correspond to different data acquisition units, and different edge calculation units acquire the state parameters sent by different data acquisition units.
6. The system of claim 1 or 4, wherein the system comprises:
the state parameters comprise a temporal attribute and a spatial attribute;
the time attribute represents a generation time period of the state parameter, and the space attribute represents a generation path of the state parameter;
the second edge calculation unit performs data edge calculation processing based on the state parameter to generate a data edge calculation result, and specifically includes:
each edge computing unit acquires state parameters sent by a plurality of data acquisition units corresponding to the edge computing unit and stores the state parameters and the code identification numbers of the data acquisition units in an associated manner;
and the edge computing unit counts the occurrence times of the same attribute in all the state parameters and sorts the code identification number according to the occurrence times.
7. The system of claim 6, wherein the system comprises:
based on the data edge calculation result, the second edge calculation unit sends a feedback signal to the data acquisition unit, and specifically includes:
and if the occurrence times of the same time attributes of the state parameters of the target people are greater than a first threshold value, sending the feedback signal to the data acquisition unit.
8. The system of claim 6, wherein the system comprises:
based on the data edge calculation result, the second edge calculation unit sends a feedback signal to the data acquisition unit, and specifically includes:
and if the occurrence times of the same spatial attributes of the state parameters of the target people are greater than a second threshold value, sending the feedback signal to the data acquisition unit.
9. The system of claim 6, wherein the system comprises:
the prompt signal prompts the target person to enter the state parameters of the senior citizens in the preset range at or near the current time period.
10. The system of claim 9, wherein the system comprises:
and after receiving the prompt signal, the target person changes the time attribute and/or the space attribute of the state parameter.
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