CN116894534A - Community old man supervision system based on intelligent communities and multidimensional data - Google Patents

Community old man supervision system based on intelligent communities and multidimensional data Download PDF

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CN116894534A
CN116894534A CN202310839104.0A CN202310839104A CN116894534A CN 116894534 A CN116894534 A CN 116894534A CN 202310839104 A CN202310839104 A CN 202310839104A CN 116894534 A CN116894534 A CN 116894534A
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沈卫民
朱磊
王巍
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Shenzhen Michoi Iot Co ltd
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Abstract

The invention discloses a community old man supervision system based on intelligent communities and multidimensional data, and relates to the technical field of old man supervision. According to the living room monitoring system, living behaviors, sleeping conditions, health indexes and living environments of the old in a designated living room are monitored and analyzed, the health and safety of the old are comprehensively and real-timely monitored, multidimensional analysis of information data of the old is realized, the health problems and safety risks of the old can be found timely, the quality of life of the old is improved, accidents are prevented, more accurate guarantee can be provided for community and old supervision, and the community and community environment with more wisdom, healthier and more warmth can be established.

Description

Community old man supervision system based on intelligent communities and multidimensional data
Technical Field
The invention relates to the technical field of old man supervision, in particular to a community old man supervision system based on intelligent communities and multidimensional data.
Background
With the increasing trend of population aging, community aged care becomes an increasingly important concern field, society faces aged care demands and challenges of more aged people, traditional aged care modes and resource allocation cannot meet diversified demands and increasing nursing pressures of aged people, traditional aged care modes often lack comprehensiveness and instantaneity, and cannot meet the increasing aged care demands of aged people, and in order to meet unique aged care demands of aged people and improve life quality of the aged people, the invention provides a community aged care system based on intelligent communities and multidimensional data.
At present, the community old man supervision in the prior art has some limitations, and the following aspects are specifically embodied: 1. first, supervision for the aged in communities today generally depends on specific monitoring devices or human resources, and thus the scope of supervision is limited. The elderly can only be supervised at specific times. The limitation leads to the limitation of supervision, and the living behavior information of the old is lack to be subjected to concrete analysis, so that the comprehensive and real-time supervision cannot be performed, a large amount of human resources are needed to be implemented, the supervision cost of the community old is increased to a certain extent, and the comprehensive coordination management of the community is not facilitated.
2. Secondly, in community old people supervision, fine and in-place analysis is not carried out on sleep behavior information data and health index data of the old people, and consideration of the level is lacking, so that multi-dimensional health data analysis cannot be carried out on the old people, and further the situation that supervision is not in place or is missed exists, and the fine management level of a supervision system is further reduced.
In summary, the invention provides a community old man supervision system based on intelligent communities and multidimensional data, which aims to realize intelligent and digital management and monitoring and analysis of service communities in communities by deploying sensors, intelligent devices and Internet to connect the multidimensional data, provide living conditions and demand information of old man, and realize multidimensional monitoring and management of living behaviors, environment and the like of the old man.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a community old man supervision system based on intelligent communities and multidimensional data, which solves the problems related to the background technology.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a community old man supervision system based on intelligent communities and multidimensional data comprises a living room partition module: the method comprises the steps of partitioning the inside of a designated living room area to obtain a designated leisure area and a designated rest area; the life behavior monitoring and analyzing module: the system is used for monitoring and analyzing the life behaviors of the old in the appointed leisure area, and further evaluating and calculating the safety index of the life behaviors of the old in the appointed leisure area; sleep behavior monitoring and analyzing module: the sleep stability index of the old in the appointed rest area is evaluated and calculated by monitoring and analyzing the sleep condition of the old in the appointed rest area; health index data monitoring and analyzing module: the system is used for monitoring the health index data of the old in the designated living room, and further analyzing and calculating the health index stability index of the old in the designated living room; living room environment monitoring and analyzing module: the system is used for monitoring the environmental parameters of the appointed living room, and further analyzing and evaluating the environmental safety index of the appointed living room; intelligent early warning center: the system is used for carrying out early warning and prompting on abnormal behaviors of the old in the appointed rest area, carrying out sleep and health index risk early warning on the old in the appointed living room, and simultaneously carrying out management and control prompting on the environment of the appointed living room; a communication information base: the reference skeleton sketching line, the conventional sound decibels and the conventional sound tone frequency, the reference health index data of the health sleep parameters of the old in each age interval and the environment standard temperature, standard humidity and standard carbon dioxide concentration of the designated living room are used for storing the reference skeleton sketching line, the conventional sound decibels and the conventional sound tone frequency corresponding to various behavior types.
Further, the living behavior of the old in the appointed leisure area is monitored and analyzed, and the specific process is as follows: the infrared sensor is used for identifying the position of the old in the appointed leisure area and then positioning the position point of each joint of the old, so that a skeleton sketching line of the old is constructed, and then the reference skeleton corresponding to various behavior types stored in the communication information base is obtainedThe frame sketching lines are subjected to overlapping comparison, the length of the overlapped frame sketching lines is extracted and marked as L, and the length of the reference frame sketching lines corresponding to various behavior types is extracted and marked as L j 'j is the number of various behavior types, j=1, 2,3,..n, n is the total number of behavior types, and then calculates the matching degree of the old's behavior in the appointed leisure area and each behavior type, and the calculation formula is:wherein U is j Indicating the matching degree of the behavior of the elderly in the leisure area with the jth behavior type, +.>A matching correction factor corresponding to the old man behavior of the designated leisure area is displayed; according to the matching degree of the behavior of the old in the appointed leisure area and each behavior type, the behavior type with the highest matching degree is extracted to serve as the behavior type of the old in the appointed leisure area, meanwhile, the behavior starting time point corresponding to the behavior type of the old in the appointed leisure area is extracted, the duration corresponding to the behavior type of the old in the appointed leisure area is extracted, further, according to the predefined risk abnormality factors corresponding to the duration of units of various behavior types of the old, the risk abnormality factors corresponding to the behavior type of the old in the appointed leisure area are screened out from the risk abnormality factors, and recorded as delta, and further, the behavior abnormality index corresponding to the behavior of the old in the appointed leisure area is calculated, wherein the calculation formula is as follows: />Wherein alpha represents a behavior abnormality index corresponding to the behavior of the old in the designated leisure area, T represents a duration corresponding to the behavior type of the old in the designated leisure area, eta represents a set correction value of the abnormal behavior of the old in the designated leisure area, and e represents a natural constant.
Further, the living behavior of the old in the appointed leisure area is monitored and analyzed, and the specific process is as follows: according to the behavior starting time point corresponding to the behavior type of the old in the appointed leisure area, marking the behavior starting time point as a target time point, and further aiming at the finger at the target time pointMonitoring the sound condition of the designated leisure area, and further obtaining the sound decibel and tone frequency of the designated leisure area at the target time point; according to the conventional sound decibel and the conventional sound pitch frequency stored in the communication information base, calculating the sound abnormality index of the appointed leisure area, wherein the calculation formula is as follows:wherein β represents the sound abnormality index of the specified leisure area, d, p represent the sound decibel and tone frequency of the specified leisure area at the target time point, respectively, Δd, Δp represent the conventional sound decibel and the conventional tone frequency of sound, respectively, μ 3 ,μ 4 The correction factors corresponding to the sound decibels and the sound frequency modulation rate of the set designated leisure area are respectively indicated.
Further, the evaluation calculates the safety index of the life behavior of the old in the designated leisure area, and the specific process is as follows: according to the behavioral abnormality index corresponding to the behavior of the old, comprehensively calculating the safety index of the life behavior of the old in the specified leisure area according to the sound abnormality index in the specified leisure area, wherein the calculation formula is as follows:wherein ω represents the safety index of living behavior of the elderly in the designated leisure area, γ 1 And gamma 2 The weight factors corresponding to the behavioral abnormality indexes corresponding to the behaviors of the old and the voice abnormality indexes of the designated leisure areas are respectively shown.
Further, the method for monitoring and analyzing the sleeping condition of the old in the appointed rest area comprises the following specific processes: according to the set monitoring day, further monitoring and recording the sleep time, the body movement times and the heart rate fluctuation diagram of the old in the specified rest area, acquiring the age corresponding to the old in the specified living room, and further matching with the health sleep parameters of the old in each age interval stored in the communication information base to obtain the health sleep parameters of the old in the specified living room, wherein the health sleep parameters comprise the health sleep time, the reference health body movement times and the heart rate health fluctuation diagram in the sleep state.
Further, the evaluation calculates the sleep stability index of the old in the appointed rest area, and the specific process is as follows: the heart rate fluctuation diagram of the old in the appointed rest area in the sleep state is compared with the healthy heart rate fluctuation diagram in the sleep state stored in the communication information base in a superposition mode, the length B of the heart rate fluctuation diagram in the superposed sleep state and the heart rate healthy fluctuation diagram length of the old in the appointed living room in the sleep state are extracted, and the length is recorded as B 0 The method comprises the steps of carrying out a first treatment on the surface of the The sleep stability index of the old in the appointed rest area is comprehensively calculated, and the calculation formula is as follows:wherein Z represents sleep stability index of the old in the appointed rest area, T and S respectively represent sleep time and body movement times of the old in the appointed rest area, and DeltaT Health care food ΔS represents the healthy sleep time length corresponding to the age of the old in the designated living room and the number of reference healthy body movements, ε 1 ,ε 2 And epsilon 3 The weight factors which are respectively set and correspond to the sleep time, the body movement times and the heart rate fluctuation diagram in the sleep state of the old are shown.
Further, the monitoring of health index data of the old in the designated living room comprises the following specific processes: according to the set monitoring day, health index data of the old in the designated living room at each time point in the monitoring day are collected, wherein the health index data comprise body temperature, blood pressure and heart rate, and meanwhile, reference health index data of the old in the designated living room are extracted from a communication information base, and the reference health index data comprise health body temperature, health blood pressure and health heart rate values.
Further, the calculating of the health index stability index of the old in the designated living room comprises the following specific processes: the body temperature, the blood pressure and the heart rate of the old in the appointed living room are sequentially compared and analyzed with the healthy body temperature, the healthy blood pressure and the healthy heart rate value of the old in the appointed rest area in the communication information base, so that the healthy index stability index of the old in the appointed living room is calculated, and the calculation formula is as follows:wherein Y represents a health index stability index of the elderly in the designated living room, M i 、BL i And H i Respectively represent the body temperature, blood pressure and heart rate value of the old in the appointed living room at the ith time point of the monitoring day, and DeltaM, deltaBL and DeltaH respectively represent the healthy body temperature, healthy blood pressure and healthy heart rate value, and K 2 ,κ 3 ,κ 4 Respectively represent the set weight factors corresponding to the body temperature, the blood pressure and the heart rate value of the old people in the designated living room.
Further, the analysis and evaluation designates the environmental safety index of the living room, and the specific process is as follows: the environmental parameters of the appointed living room are monitored, wherein the environmental parameters comprise temperature, humidity and carbon dioxide concentration, the temperature, humidity and carbon dioxide concentration of the appointed living room are further obtained, and are respectively compared with the standard temperature, standard humidity and standard carbon dioxide concentration of the environment of the appointed living room stored in a communication information base, and the environmental safety index of the appointed living room is calculated, analyzed and estimated according to the environmental parameters, and the specific calculation formula is as follows:wherein K represents a specified living room environmental security index, deltaT 0 、ΔRH 0 And DeltaC 0 Respectively expressed as the standard temperature, standard humidity and standard carbon dioxide concentration of the environment of the designated living room, T Warm temperature RH and C are respectively expressed as the designated living room temperature, humidity and carbon dioxide concentration, χ 1 、χ 2 And χ (x) 3 Expressed as safety correction factors corresponding to the set temperature, humidity and carbon dioxide concentration, respectively.
Further, the early warning prompt is carried out on the abnormal behaviors of the old in the appointed rest area, and the specific process is as follows: according to the safety index of the life behavior of the old in the designated leisure area, comparing the safety index with the compliance range of the safety index of the life behavior of the old in the designated leisure area, and when the safety index of the life behavior of the old in the designated leisure area exceeds the compliance range of the safety index of the life behavior of the old in the designated leisure area, managing and prompting the life behavior of the old in the designated living room; and similarly, sleeping and health index risk early warning are carried out on the old in the designated living room according to the health index stability index of the old in the designated living room, the sleep stability index of the old in the designated rest area and the environment safety index of the designated living room, and meanwhile, management and control prompt is carried out on the environment of the designated living room.
The invention has the following beneficial effects:
(1) According to the invention, through monitoring and analyzing the living behaviors of the old in the designated leisure area, the skeleton outlining line, the duration of abnormal behaviors, the sound decibel and the tone frequency of the old are extracted, so that the safety index of the living behaviors of the old in the designated leisure area is calculated, the specific analysis of the living behavior information data of the old in the designated leisure area is effectively realized, the situation that the supervision of the old is not in place or is missed in the prior art is further compensated, the accuracy of data analysis is improved, and more accurate guarantee can be provided for community old supervision.
(2) According to the invention, through monitoring and analyzing the sleeping condition of the old in the appointed rest area, the data support is provided for the analysis of the old supervision system aiming at the sleeping time, the body movement times and the heart rate wave diagram of the old in the sleeping state, so that the health problem and the safety risk of the old can be found in time, and the help is provided for the comprehensive coordination management of the old supervision system.
(3) According to the invention, the health index stability index of the old in the designated living room is calculated, the environmental safety index of the designated living room is analyzed and evaluated, the health safety of the old is comprehensively and real-timely supervised, the life quality of the old is effectively improved, accidents are prevented, and more accurate early warning service is further improved for the old through data analysis in multiple dimensions.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
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FIG. 1 is a schematic diagram of a system architecture connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "open," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like indicate orientation or positional relationships, merely for convenience in describing the present invention and to simplify the description, and do not indicate or imply that the components or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: a community old man supervision system based on intelligent communities and multidimensional data comprises a living room partition module: the method is used for partitioning the inside of the designated living room area to obtain a designated leisure area and a designated rest area.
The life behavior monitoring and analyzing module: the system is used for monitoring and analyzing the life behaviors of the old in the designated leisure area, and further evaluating and calculating the safety index of the life behaviors of the old in the designated leisure area.
Sleep behavior monitoring and analyzing module: the method is used for monitoring and analyzing the sleeping condition of the old in the appointed rest area, and further evaluating and calculating the sleeping stability index of the old in the appointed rest area.
Health index data monitoring and analyzing module: the system is used for monitoring the health index data of the old in the appointed living room, and further analyzing and calculating the health index stability index of the old in the appointed living room.
Living room environment monitoring and analyzing module: the system is used for monitoring the environmental parameters of the appointed living room, and further analyzing and evaluating the environmental safety index of the appointed living room.
Intelligent early warning center: the system is used for carrying out early warning and prompting on abnormal behaviors of the old in the appointed rest area, carrying out sleep and health index risk early warning on the old in the appointed living room, and simultaneously carrying out management and control prompting on the environment in the appointed living room.
A communication information base: the reference skeleton sketching line, the conventional sound decibels and the conventional sound tone frequency, the reference health index data of the health sleep parameters of the old in each age interval and the environment standard temperature, standard humidity and standard carbon dioxide concentration of the designated living room are used for storing the reference skeleton sketching line, the conventional sound decibels and the conventional sound tone frequency corresponding to various behavior types.
Specifically, the living behaviors of the old in the appointed leisure area are monitored and analyzed, and the specific process is as follows: identifying the position of the old in the appointed leisure area through the infrared sensor, positioning the position to the position point of each joint of the old, constructing a skeleton sketching line of the old, further carrying out overlapping comparison on the skeleton sketching line corresponding to various behavior types stored in a communication information base, extracting the length of the overlapped skeleton sketching line to be marked as L, and simultaneously extracting the length of the skeleton sketching line corresponding to various behavior types to be marked as L j 'j is the number of various behavior types, j=1, 2,3,..n, n is the total number of behavior types, and then calculates the matching degree of the old's behavior in the appointed leisure area and each behavior type, and the calculation formula is:wherein U is j Indicating the matching degree of the behavior of the elderly in the leisure area with the jth behavior type, +.>A matching correction factor corresponding to the old man behavior of the designated leisure area is displayed; according to the matching degree of the behavior of the old in the appointed leisure area and each behavior type, the behavior type with the highest matching degree is extracted to serve as the behavior type of the old in the appointed leisure area, meanwhile, the behavior starting time point corresponding to the behavior type of the old in the appointed leisure area is extracted, the duration corresponding to the behavior type of the old in the appointed leisure area is extracted, and further, the index is screened from the risk abnormality factors corresponding to the duration of units according to the predefined various behavior types of the oldThe risk abnormality factor of unit duration corresponding to the behavior type of the old in the designated leisure area is recorded as delta, and then the behavior abnormality index corresponding to the behavior of the old in the designated leisure area is calculated, wherein the calculation formula is as follows: />Wherein alpha represents a behavior abnormality index corresponding to the behavior of the old in the designated leisure area, T represents a duration corresponding to the behavior type of the old in the designated leisure area, eta represents a set correction value of the abnormal behavior of the old in the designated leisure area, and e represents a natural constant.
In this embodiment, the living behavior of the old in the designated leisure area is monitored and analyzed, and the skeleton outlining line of the old is constructed according to the limb movement track of the old, so that the action behaviors of various people are defined, the specific analysis of the living behavior information data of the old in the designated leisure area is effectively realized, and the situation that the supervision of the old is not in place or is missed in the prior art is further compensated.
Specifically, the living behaviors of the old in the appointed leisure area are monitored and analyzed, and the specific process is as follows: recording a behavior starting time point corresponding to the behavior type of the old in the designated leisure area as a target time point, and further monitoring the sound condition of the designated leisure area at the target time point to further obtain the sound decibel and tone frequency of the designated leisure area in the target time point; according to the conventional sound decibel and the conventional sound pitch frequency stored in the communication information base, calculating the sound abnormality index of the appointed leisure area, wherein the calculation formula is as follows:wherein β represents the sound abnormality index of the specified leisure area, d, p represent the sound decibel and tone frequency of the specified leisure area at the target time point, respectively, Δd, Δp represent the conventional sound decibel and the conventional tone frequency of sound, respectively, μ 3 ,μ 4 The correction factors corresponding to the sound decibels and the sound frequency modulation rate of the set designated leisure area are respectively indicated.
In this embodiment, the sound decibel and tone frequency of the designated leisure area at the target time point are obtained by the sound sensor.
Specifically, the safety index of life behaviors of the old in the appointed leisure area is evaluated and calculated, and the specific process is as follows: according to the behavioral abnormality index corresponding to the behavior of the old, comprehensively calculating the safety index of the life behavior of the old in the specified leisure area according to the sound abnormality index in the specified leisure area, wherein the calculation formula is as follows:wherein ω represents the safety index of living behavior of the elderly in the designated leisure area, γ 1 And gamma 2 The weight factors corresponding to the behavioral abnormality indexes corresponding to the behaviors of the old and the voice abnormality indexes of the designated leisure areas are respectively shown.
In this embodiment, calculate the life behavior affiliated security index of the old man of appointed leisure district, effectually realized carrying out the materialization analysis to the old man life behavior information data of appointed leisure district, and then made up prior art and to the condition that old man supervision is not in place or is missed, not only made the accuracy of data analysis obtain promoting, and can provide more accurate guarantee for community old man supervision.
Specifically, the sleep condition of the old in the appointed rest area is monitored and analyzed, and the specific process is as follows: according to the set monitoring day, further monitoring and recording the sleep time, the body movement times and the heart rate fluctuation diagram of the old in the specified rest area, acquiring the age corresponding to the old in the specified living room, and further matching with the health sleep parameters of the old in each age interval stored in the communication information base to obtain the health sleep parameters of the old in the specified living room, wherein the health sleep parameters comprise the health sleep time, the reference health body movement times and the heart rate health fluctuation diagram in the sleep state.
In this embodiment, the smart band is used to monitor the sleep duration, the number of body movements and the heart rate variability map of the elderly in the sleep state.
Specifically, the sleep stability index of the old in the appointed rest area is evaluated and calculated, and the specific process is as follows: will specify the old people in the rest areaThe heart rate fluctuation graph under the sleeping state of the person is subjected to the repeated comparison with the healthy heart rate fluctuation graph under the sleeping state stored in the communication information base, the length B of the heart rate fluctuation graph under the overlapped sleeping state and the heart rate healthy fluctuation graph length under the sleeping state of the old in the designated living room are extracted, and the length is marked as B 0 The method comprises the steps of carrying out a first treatment on the surface of the The sleep stability index of the old in the appointed rest area is comprehensively calculated, and the calculation formula is as follows:
wherein Z represents sleep stability index of the old in the appointed rest area, T and S respectively represent sleep time and body movement times of the old in the appointed rest area, and DeltaT Health care food ΔS represents the healthy sleep time length corresponding to the age of the old in the designated living room and the number of reference healthy body movements, ε 1 ,ε 2 And epsilon 3 The weight factors which are respectively set and correspond to the sleep time, the body movement times and the heart rate fluctuation diagram in the sleep state of the old are shown.
In the embodiment, the sleep condition of the old people in the appointed rest area is monitored and analyzed, and the sleep duration, the body movement times and the heart rate fluctuation diagram of the old people in the sleep state are aimed, so that data support is provided for analysis of an old people supervision system, the health problem and the safety risk of the old people can be found in time, and the help is provided for comprehensive coordination management of the old people supervision system.
Specifically, the health index data of the old in the designated living room is analyzed and monitored, and the specific process is as follows: according to the set monitoring day, health index data of the old in the designated living room at each time point in the monitoring day are collected, wherein the health index data comprise body temperature, blood pressure and heart rate, and meanwhile, reference health index data of the old in the designated living room are extracted from a communication information base, and the reference health index data comprise health body temperature, health blood pressure and health heart rate values.
In this embodiment, the smart band is used to monitor the temperature, blood pressure and heart rate of the elderly.
Specifically, the health index stability of the old in the designated living room is calculatedThe index comprises the following specific processes: the body temperature, the blood pressure and the heart rate of the old in the appointed living room are sequentially compared and analyzed with the healthy body temperature, the healthy blood pressure and the healthy heart rate value of the old in the appointed rest area in the communication information base, so that the healthy index stability index of the old in the appointed living room is calculated, and the calculation formula is as follows: wherein Y represents a health index stability index of the elderly in the designated living room, M i 、BL i And H i Respectively represent the body temperature, the blood pressure and the heart rate value at the ith time point of the monitoring day of the old in the designated living room, and DeltaM, deltaBL and DeltaH respectively represent the healthy body temperature and the healthy bodyBlood pressure and healthy heart rate value, κ 2 ,κ 3 ,κ 4 Respectively represent the set weight factors corresponding to the body temperature, the blood pressure and the heart rate value of the old people in the designated living room.
In the embodiment, the health index stability index of the old in the designated living room is calculated, so that the health and safety of the old are comprehensively and real-timely monitored, the old is effectively helped to improve the life quality, and accidents are prevented.
Specifically, the analysis and evaluation of the environmental safety index of the designated living room comprises the following specific processes: the environmental parameters of the appointed living room are monitored, wherein the environmental parameters comprise temperature, humidity and carbon dioxide concentration, the temperature, humidity and carbon dioxide concentration of the appointed living room are further obtained, and are respectively compared with the standard temperature, standard humidity and standard carbon dioxide concentration of the environment of the appointed living room stored in a communication information base, and the environmental safety index of the appointed living room is calculated, analyzed and estimated according to the environmental parameters, and the specific calculation formula is as follows:wherein K represents a specified living room environmental security index, deltaT 0 、ΔRH 0 And DeltaC 0 Respectively expressed as the standard temperature, standard humidity and standard carbon dioxide concentration of the environment of the designated living room, T Warm temperature RH and C are respectively expressed as a specified living room temperature, humidity and carbon dioxideConcentration, χ 1 、χ 2 And χ (x) 3 Expressed as safety correction factors corresponding to the set temperature, humidity and carbon dioxide concentration, respectively.
In this embodiment, the living room environment is monitored using a hygrothermograph, and the carbon dioxide concentration is monitored using an air quality monitor.
In the embodiment, the environmental safety index of the designated living room is analyzed and evaluated, and more accurate early warning service is improved for the old through data analysis in a multi-dimensional mode.
Specifically, early warning management prompt is carried out, and the specific process is as follows: according to the safety index of the life behavior of the old in the designated leisure area, comparing the safety index with the compliance range of the safety index of the life behavior of the old in the designated leisure area, and when the safety index of the life behavior of the old in the designated leisure area exceeds the compliance range of the safety index of the life behavior of the old in the designated leisure area, managing and prompting the life behavior of the old in the designated living room; and similarly, early warning prompt is carried out on the abnormal behaviors of the old in the appointed rest area according to the health index stability index of the old in the appointed living room, the sleep stability index of the old in the appointed rest area and the environment safety index of the appointed living room.
In this embodiment, the health index stability index of the living-room-designated elderly person is compared with the set compliance range of the health index stability index of the living-room-designated elderly person, and when the health index stability index of the living-room-designated elderly person exceeds the set compliance range of the health index stability index of the living-room-designated elderly person, the health index risk warning is performed on the living-room-designated elderly person.
In this embodiment, the sleep stability index of the old in the designated rest area is further compared with the compliance range of the sleep stability index of the old in the designated rest area, and when the sleep stability index of the old in the designated rest area exceeds the compliance range of the sleep stability index of the old in the designated rest area, the risk early warning of the sleep risk index is performed on the old in the designated living room.
In this embodiment, the environmental security index of the specified living room is compared with the compliance range of the environmental security index of the specified living room, and when the environmental security index of the specified living room exceeds the compliance range of the environmental security index of the specified living room, the environment of the specified living room is controlled and prompted.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (10)

1. A community geriatric supervision system based on smart communities and multidimensional data, comprising:
living room partition module: the method comprises the steps of partitioning the inside of a designated living room area to obtain a designated leisure area and a designated rest area;
the life behavior monitoring and analyzing module: the system is used for monitoring and analyzing the life behaviors of the old in the appointed leisure area, and further evaluating and calculating the safety index of the life behaviors of the old in the appointed leisure area;
sleep behavior monitoring and analyzing module: the sleep stability index of the old in the appointed rest area is evaluated and calculated by monitoring and analyzing the sleep condition of the old in the appointed rest area;
health index data monitoring and analyzing module: the system is used for monitoring the health index data of the old in the designated living room, and further analyzing and calculating the health index stability index of the old in the designated living room;
living room environment monitoring and analyzing module: the system is used for monitoring the environmental parameters of the appointed living room, and further analyzing and evaluating the environmental safety index of the appointed living room;
intelligent early warning center: the system is used for carrying out early warning and prompting on abnormal behaviors of the old in the appointed rest area, carrying out sleep and health index risk early warning on the old in the appointed living room, and simultaneously carrying out management and control prompting on the environment of the appointed living room;
a communication information base: the reference skeleton sketching line, the conventional sound decibels and the conventional sound tone frequency, the reference health index data of the health sleep parameters of the old in each age interval and the environment standard temperature, standard humidity and standard carbon dioxide concentration of the designated living room are used for storing the reference skeleton sketching line, the conventional sound decibels and the conventional sound tone frequency corresponding to various behavior types.
2. The community geriatric supervision system based on smart communities and multidimensional data according to claim 1, wherein: the method for monitoring and analyzing the life behaviors of the old in the appointed leisure area comprises the following specific processes:
identifying the position of the old in the appointed leisure area through the infrared sensor, positioning the position to the position point of each joint of the old, constructing a skeleton sketching line of the old, further carrying out overlapping comparison on the skeleton sketching line corresponding to various behavior types stored in a communication information base, extracting the length of the overlapped skeleton sketching line to be marked as L, and simultaneously extracting the length of the skeleton sketching line corresponding to various behavior types to be marked as L j 'j is the number of various behavior types, j=1, 2,3,..n, n is the total number of behavior types, and then calculates the matching degree of the old's behavior in the appointed leisure area and each behavior type, and the calculation formula is:wherein U is j Indicating the matching degree of the behavior of the elderly in the leisure area with the jth behavior type, +.>A matching correction factor corresponding to the old man behavior of the designated leisure area is displayed;
according to the matching degree of the behavior of the old in the appointed leisure area and each behavior type, the behavior type with the highest matching degree is extracted to serve as the behavior type of the old in the appointed leisure area, meanwhile, the behavior starting time point corresponding to the behavior type of the old in the appointed leisure area is extracted, the duration corresponding to the behavior type of the old in the appointed leisure area is extracted, further, according to the predefined risk abnormality factors corresponding to the duration of units of various behavior types of the old, the risk abnormality factors corresponding to the behavior type of the old in the appointed leisure area are screened out from the risk abnormality factors, and recorded as delta, and further, the behavior abnormality index corresponding to the behavior of the old in the appointed leisure area is calculated, wherein the calculation formula is as follows:wherein alpha represents a behavior abnormality index corresponding to the behavior of the old in the designated leisure area, T represents a duration corresponding to the behavior type of the old in the designated leisure area, eta represents a set correction value of the abnormal behavior of the old in the designated leisure area, and e represents a natural constant.
3. The community geriatric supervision system based on smart communities and multidimensional data according to claim 2, wherein: the living behaviors of the old in the appointed leisure area are monitored and analyzed, and the specific analysis process is as follows:
recording a behavior starting time point corresponding to the behavior type of the old in the designated leisure area as a target time point, and further monitoring the sound condition of the designated leisure area at the target time point to further obtain the sound decibel and tone frequency of the designated leisure area in the target time point;
according to the conventional sound decibel and the conventional sound pitch frequency stored in the communication information base, calculating the sound abnormality index of the appointed leisure area, wherein the calculation formula is as follows:wherein β represents the sound abnormality index of the specified leisure area, d, p represent the sound decibel and tone frequency of the specified leisure area at the target time point, respectively, Δd, Δp represent the conventional sound decibel and the conventional tone frequency of sound, respectively, μ 3 ,μ 4 The correction factors corresponding to the sound decibels and the sound frequency modulation rate of the set designated leisure area are respectively indicated.
4. A community geriatric supervision system based on smart communities and multidimensional data according to claim 3, wherein: the evaluation method is characterized by calculating the safety index of the life behaviors of the old in the designated leisure area, and comprises the following specific processes:
according to the behavioral abnormality index corresponding to the behavior of the old, comprehensively calculating the safety index of the life behavior of the old in the specified leisure area according to the sound abnormality index in the specified leisure area, wherein the calculation formula is as follows:wherein ω represents the safety index of living behavior of the elderly in the designated leisure area, γ 1 And gamma 2 The weight factors corresponding to the behavioral abnormality indexes corresponding to the behaviors of the old and the voice abnormality indexes of the designated leisure areas are respectively shown.
5. The community geriatric supervision system based on smart communities and multidimensional data according to claim 1, wherein: the method is characterized in that the sleeping condition of the old in the appointed rest area is monitored and analyzed, and the specific process is as follows:
according to the set monitoring day, further monitoring and recording the sleep time, the body movement times and the heart rate fluctuation diagram of the old in the specified rest area, acquiring the age corresponding to the old in the specified living room, and further matching with the health sleep parameters of the old in each age interval stored in the communication information base to obtain the health sleep parameters of the old in the specified living room, wherein the health sleep parameters comprise the health sleep time, the reference health body movement times and the heart rate health fluctuation diagram in the sleep state.
6. The community geriatric supervision system based on smart communities and multidimensional data according to claim 5, wherein: the evaluation and calculation method is characterized in that the evaluation and calculation method calculates the sleep stability index of the old in the appointed rest area, and comprises the following specific processes:
the heart rate fluctuation diagram of the old in the appointed rest area in the sleep state is compared with the healthy heart rate fluctuation diagram in the sleep state stored in the communication information base in a superposition mode, the length B of the heart rate fluctuation diagram in the superposed sleep state and the heart rate healthy fluctuation diagram length of the old in the appointed living room in the sleep state are extracted, and the length is recorded as B 0
The sleep stability index of the old in the appointed rest area is comprehensively calculated, and the calculation formula is as follows:
wherein Z represents sleep stability index of the old in the appointed rest area, T and S respectively represent sleep time and body movement times of the old in the appointed rest area, and DeltaT Health care food ΔS represents the healthy sleep time length corresponding to the age of the old in the designated living room and the number of reference healthy body movements, ε 1 ,ε 2 And epsilon 3 The weight factors which are respectively set and correspond to the sleep time, the body movement times and the heart rate fluctuation diagram in the sleep state of the old are shown.
7. The community geriatric supervision system based on smart communities and multidimensional data according to claim 1, wherein: the monitoring of health index data of the old in the appointed living room comprises the following specific processes:
according to the set monitoring day, health index data of the old in the designated living room at each time point in the monitoring day are collected, wherein the health index data comprise body temperature, blood pressure and heart rate, and meanwhile, reference health index data of the old in the designated living room are extracted from a communication information base, and the reference health index data comprise health body temperature, health blood pressure and health heart rate values.
8. The community geriatric supervision system based on smart communities and multidimensional data of claim 7, wherein: the calculating of the health index stability index of the old in the designated living room comprises the following specific processes:
the body temperature, the blood pressure and the heart rate of the old in the appointed living room are sequentially compared and analyzed with the healthy body temperature, the healthy blood pressure and the healthy heart rate value of the old in the appointed rest area in the communication information base, so that the healthy index stability index of the old in the appointed living room is calculated, and the calculation formula is as follows:
wherein Y represents a health index stability index of the elderly in the designated living room, M i 、BL i And H i Respectively represent the body temperature, blood pressure and heart rate value of the old in the appointed living room at the ith time point of the monitoring day, and DeltaM, deltaBL and DeltaH respectively represent the healthy body temperature, healthy blood pressure and healthy heart rate value, and K 2 ,κ 3 ,κ 4 Respectively represent the set weight factors corresponding to the body temperature, the blood pressure and the heart rate value of the old people in the designated living room.
9. The community geriatric supervision system based on smart communities and multidimensional data according to claim 1, wherein: the analysis and evaluation designates the living room environment safety index, and the specific process is as follows:
monitoring environmental parameters of the appointed living room, wherein the environmental parameters comprise temperature, humidity and carbon dioxide concentration, further obtaining the temperature, humidity and carbon dioxide concentration of the appointed living room, and respectively storing the environmental parameters and the environmental standards of the appointed living room in a communication information baseThe temperature, the standard humidity and the standard carbon dioxide concentration are compared, and the environmental safety index of the specified living room is calculated, analyzed and evaluated according to the comparison, wherein the specific calculation formula is as follows:wherein K represents a specified living room environmental security index, deltaT 0 、ΔRH 0 And DeltaC 0 Respectively expressed as the standard temperature, standard humidity and standard carbon dioxide concentration of the environment of the designated living room, T Warm temperature RH and C are respectively expressed as the designated living room temperature, humidity and carbon dioxide concentration, χ 1 、χ 2 And χ (x) 3 Expressed as safety correction factors corresponding to the set temperature, humidity and carbon dioxide concentration, respectively.
10. The community old man supervision system based on the intelligent communities and the multidimensional data according to claim 1, wherein the early warning prompt is carried out on the abnormal behaviors of the old man in the appointed rest area, and the specific process is as follows:
according to the safety index of the life behavior of the old in the designated leisure area, comparing the safety index with the compliance range of the safety index of the life behavior of the old in the designated leisure area, and when the safety index of the life behavior of the old in the designated leisure area exceeds the compliance range of the safety index of the life behavior of the old in the designated leisure area, managing and prompting the life behavior of the old in the designated living room;
and similarly, sleeping and health index risk early warning are carried out on the old in the designated living room according to the health index stability index of the old in the designated living room, the sleep stability index of the old in the designated rest area and the environment safety index of the designated living room, and meanwhile, management and control prompt is carried out on the environment of the designated living room.
CN202310839104.0A 2023-07-10 2023-07-10 Community old man supervision system based on intelligent communities and multidimensional data Pending CN116894534A (en)

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Publication number Priority date Publication date Assignee Title
CN107092806A (en) * 2017-05-26 2017-08-25 北京居家云舍科技服务有限公司 It is a kind of towards the intelligentized information fusion of old man's household and method for early warning
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Publication number Priority date Publication date Assignee Title
CN107092806A (en) * 2017-05-26 2017-08-25 北京居家云舍科技服务有限公司 It is a kind of towards the intelligentized information fusion of old man's household and method for early warning
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