CN113850704A - Health care monitoring system of wisdom community - Google Patents
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Abstract
The invention discloses a health care monitoring system of a smart community, which relates to the technical field of health care monitoring, solves the technical problems that monitoring analysis and environment monitoring cannot be carried out on old people in the prior art, and judges the daily activities of the old people, so that whether the old people lack exercise or not is analyzed, the accuracy of the health state analysis of the old people is improved, the quality of life of the old people in the community is improved by monitoring the old people, and the risk of diseases caused by lack of exercise of the old people is reduced; the family watching data of the monitored object are analyzed, whether the monitored object is lack of family companions or not is judged according to the watching data of the monitored object, the psychological problems of the monitored object are effectively prevented, and the comprehensiveness and the efficiency of monitoring are improved; and whether the environment is qualified or not is judged, and the condition that the living standard of the monitored object is reduced due to the influence of the environment on the living of the monitored object is avoided, so that the monitoring efficiency is reduced, and the monitoring working strength is increased.
Description
Technical Field
The invention relates to the technical field of health care and monitoring, in particular to a health care and monitoring system for an intelligent community.
Background
Along with the severe situation of the aging society, the ways of old people and the family selection mechanism for old age are rapidly increased, the old age maintenance mechanism has a large gap, in the aspect of old age monitoring, hardware construction and software management need to be further enhanced, along with the development of the era, the infrastructure in a common old age hospital is gradually improved, various entertainment facilities such as a fitness center and a sports ground are matched, the facilities really enrich the lives of the old people and bring potential activity risks to the old people, and because the range of the places is large, a supervisor cannot take each old person in each corner into consideration, so that the old people must be cared for by an effective way;
however, in the prior art, the monitoring analysis and the environmental monitoring cannot be performed on the old people, so that the monitoring and control efficiency of the community is reduced; the real-time state of the old people cannot be specifically analyzed, and whether the old people lack movement or social contact cannot be confirmed; in addition, whether the old people lack the accompany of family or not cannot be accurately analyzed, so that the psychological problem of the old people exists;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide a health care monitoring system of an intelligent community, which judges the daily activities of the old people, so as to analyze whether the old people lack exercise, improve the accuracy of the health state analysis of the old people, monitor the old people, improve the life quality of the old people in the community and reduce the risk of diseases caused by lack of exercise of the old people; the family watching data of the monitored object are analyzed, whether the monitored object is lack of family companions or not is judged according to the watching data of the monitored object, the psychological problems of the monitored object are effectively prevented, and the comprehensiveness and the efficiency of monitoring are improved; whether the environment is qualified or not is judged, and the condition that the living standard of the monitored object is reduced due to the influence of the environment on the living of the monitored object is avoided, so that the monitoring efficiency is reduced, and the monitoring working strength is increased; whether diet of the monitored object is normal or not is analyzed, diet abnormality is prevented from affecting health of the monitored object, monitoring efficiency is reduced, diet of the monitored object is guaranteed to be qualified, and waste of food materials is reduced.
The purpose of the invention can be realized by the following technical scheme:
a health care monitoring system for an intelligent community comprises a monitoring terminal and a monitoring terminal, wherein a server is arranged in the monitoring terminal, and the server is in communication connection with an activity state analysis unit, an index analysis unit and a watching analysis unit; a processor is arranged in the monitoring terminal and is in communication connection with an environment analysis unit and a diet analysis unit;
the monitoring terminal is used for monitoring the old people in the community and judging the living state of the old people, the server generates an activity state analysis signal and sends the activity state analysis signal to the activity state analysis unit, and the activity state analysis unit monitors the activity state of the old people after receiving the activity state analysis signal; the server generates an index analysis signal and sends the index analysis signal to an index analysis unit, and the index analysis unit analyzes the physical indexes of the monitored objects in the community; the server generates a watching analysis signal and sends the watching analysis signal to a watching analysis unit, and the watching analysis unit analyzes the family watching data of the monitored object;
the monitoring terminal is used for monitoring the environment to which the monitored object belongs, the processor generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, and the environment analysis unit is used for analyzing the environment to which the monitored object belongs; the processor generates a diet analysis signal and transmits the diet analysis signal to a diet analysis unit for analyzing the diet in the monitoring analysis area.
Further, the state analysis process of the active state analysis unit is as follows:
marking the old people in the community as the monitored objects, setting a mark i as a positive integer, acquiring the in-bed time of each monitored object, and marking the in-bed time of each monitored object as ZCi; acquiring the bed leaving time of each monitored object, and marking the bed leaving time of each monitored object as LCi;
obtaining an activity state analysis coefficient Xi of the monitored object through analysis; comparing the activity state analysis coefficient Xi of the monitored object with an activity state analysis coefficient threshold value:
if the activity state analysis coefficient Xi of the monitored object is larger than or equal to the activity state analysis coefficient threshold, judging that the activity state analysis of the corresponding monitored object is qualified, generating an activity state analysis qualified signal and sending the activity state analysis qualified signal to the server;
and if the activity state analysis coefficient Xi of the monitored object is smaller than the activity state analysis coefficient threshold value, judging that the activity state analysis of the corresponding monitored object is unqualified, generating an unqualified activity state analysis signal and sending the unqualified activity state analysis signal to the server.
Further, the analysis process of the index analysis unit is as follows:
collecting the heart rate fluctuation value of the monitored object at night, and marking the heart rate fluctuation value of the monitored object at night as BDZi; acquiring the blood oxygen saturation floating value of the monitored object in the morning, and marking the blood oxygen saturation floating value of the monitored object in the morning as YBHi;
acquiring an average heart rate value acquired by a monitored object and a detected average blood oxygen saturation, and respectively marking the average heart rate value acquired by the monitored object and the detected average blood oxygen saturation as XPLi and XBli;
obtaining an index analysis coefficient Zi of the monitored object through analysis, and comparing the index analysis coefficient Zi of the monitored object with an index analysis coefficient threshold value:
if the index analysis coefficient Zi of the monitored object is larger than or equal to the index analysis coefficient threshold value, judging that the index analysis of the corresponding monitored object is unqualified, generating an index abnormal signal and sending the index abnormal signal to a server; and if the index analysis coefficient Zi of the monitored object is less than the index analysis coefficient threshold value, judging that the index analysis of the corresponding monitored object is qualified, generating an index normal signal and sending the index normal signal to the server.
Further, it is expected that the analysis process of the analysis unit is as follows:
acquiring the meeting frequency and the average meeting time of the monitored object and the corresponding family, and respectively marking the meeting frequency and the average meeting time of the monitored object and the corresponding family as JJi and SCi; comparing the face meeting frequency and the average face meeting time of the monitored object and the corresponding family with a face meeting frequency threshold value and an average face meeting time threshold value respectively:
if the face meeting frequency and the average face meeting time of the monitored object and the corresponding family are both greater than the corresponding threshold values, judging that the companion of the monitored object corresponding to the family is qualified, generating a sufficient companion signal and sending the sufficient companion signal and the corresponding monitored object to the server;
if the face-meeting frequency of the monitored object and the corresponding family is greater than the face-meeting frequency threshold value, and the average face-meeting time length is less than the average face-meeting time length threshold value, or the face-meeting frequency of the monitored object and the corresponding family is less than the face-meeting frequency threshold value, and the average face-meeting time length is greater than the average face-meeting time length threshold value, judging that the accompany of the monitored object corresponding to the family is unqualified, generating an accompany unqualified signal, and sending the accompany unqualified signal and the corresponding monitored object to the server.
Further, the analysis process of the environment analysis unit is as follows:
collecting the activity area of the monitored object and marking the activity area as a monitoring analysis area, dividing the monitoring analysis area into o sub-areas, wherein o is a natural number greater than 1, collecting the ratio of the plant coverage area of each sub-area to the area of the corresponding sub-area, and marking the ratio of the plant coverage area of each sub-area to the area of the corresponding sub-area as BZo; collecting the sweeping frequency and the average sweeping time length of each sub-area, and respectively marking the sweeping frequency and the average sweeping time length of each sub-area as SPo and JPo;
acquiring an environment analysis coefficient Bo of a monitoring analysis area through analysis, acquiring the average number of people moving each day of each sub-area, and analyzing the average number of people moving each day of each sub-area and the environment analysis coefficient of the corresponding sub-area:
if the average number of people moving every day in the sub-region and the environment analysis coefficient of the corresponding sub-region are both larger than the corresponding threshold value, judging that the environment analysis of the corresponding sub-region is qualified, and marking the environment qualified sub-region as an environment qualified sub-region; if any value of the average number of the people moving every day in the sub-area and the environment analysis coefficient of the corresponding sub-area is smaller than the corresponding threshold value, judging that the environment analysis of the corresponding sub-area is unqualified, and marking the environment analysis as an unqualified environment sub-area;
acquiring the number of environment qualified sub-regions and the number of environment unqualified sub-regions in a monitoring analysis region, if the number of the environment qualified sub-regions is larger than the number of the environment unqualified sub-regions and the number of the environment unqualified sub-regions is smaller than the threshold value of the number of the corresponding environment unqualified sub-regions, judging that the environment analysis of the monitoring analysis region is qualified, generating an environment qualified signal and sending the environment qualified signal to a processor; and if the number of the environment qualified sub-regions is less than that of the environment unqualified sub-regions, or the number of the environment unqualified sub-regions is greater than the threshold value of the number of the corresponding environment unqualified sub-regions, judging that the environment analysis of the monitoring analysis region is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to the processor.
Further, the analysis process of the diet analysis unit is as follows:
acquiring the interval duration of purchasing food materials and the number of purchased food materials in a monitoring and analyzing area, and analyzing the interval duration of purchasing food materials and the number of purchased food materials in the monitoring and analyzing area;
if the interval duration of purchasing food materials in the monitoring and analyzing area is larger than the interval duration threshold value and the number of the purchased food materials is smaller than the food material purchasing number threshold value, judging that the food materials in the monitoring and analyzing area are insufficient, generating a food material deficiency signal and sending the food material deficiency signal to the processor;
if the interval duration of purchasing the food materials in the monitoring analysis area is larger than the interval duration threshold, and the number of the purchased food materials is larger than the number threshold of the purchased food materials; or the interval duration of the food materials purchased in the monitoring and analyzing area is smaller than the interval duration threshold, and the number of the purchased food materials is smaller than the food material purchasing number threshold, judging that the food materials in the monitoring and analyzing area are qualified, generating a food analysis qualified signal and sending the food analysis qualified signal to the processor;
if the interval duration of purchasing the food materials in the monitoring and analyzing area is smaller than the interval duration threshold value and the number of the purchased food materials is larger than the number threshold value of the purchased food materials, determining that the food materials in the monitoring and analyzing area are wasted, generating a food material waste signal and sending the food material waste signal to the processor.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the daily activities of the old people are judged, so that whether the old people lack exercise or not is analyzed, the accuracy of the health state analysis of the old people is improved, the quality of life of the old people in a community is improved by monitoring the old people, and the risk of diseases caused by lack of exercise of the old people is reduced; the health condition of the monitored object is judged, and the health conditions of different monitored objects are collected, so that the monitored object can be monitored conveniently by equipment, the monitoring efficiency is improved, and the disease deterioration risk of the monitored object is reduced; the family watching data of the monitored object are analyzed, whether the monitored object is lack of family companions or not is judged according to the watching data of the monitored object, the psychological problems of the monitored object are effectively prevented, and the comprehensiveness and the efficiency of monitoring are improved;
2. according to the invention, whether the environment is qualified or not is judged, and the condition that the living standard of the monitored object is reduced due to the influence of the environment on the living of the monitored object is avoided, so that the monitoring efficiency is reduced, and the monitoring working strength is increased; whether diet of the monitored object is normal or not is analyzed, diet abnormality is prevented from affecting health of the monitored object, monitoring efficiency is reduced, diet of the monitored object is guaranteed to be qualified, and waste of food materials is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a health care monitoring system for an intelligent community comprises a monitoring terminal and a monitoring terminal, wherein a server is arranged in the monitoring terminal, and the server is in communication connection with an activity state analysis unit, an index analysis unit and a watching analysis unit; a processor is arranged in the monitoring terminal and is in communication connection with an environment analysis unit and a diet analysis unit;
the guardianship terminal is used for guardianship to the old man in the community, judge the state of life of old man, the server generates the active state analysis signal and sends the active state analysis signal to the active state analysis unit, the active state analysis unit receives the back of active state analysis signal, monitor the active state of old man, judge the daily activity of old man, thereby whether analysis old man lacks the exercise, the accuracy performance of old man health state analysis has been improved, guardianship has improved the quality of life of old man in the community to the old man, reduce the risk that the old man causes the disease because of lacking the motion, concrete state analysis process is as follows:
marking the old people in the community as the monitored objects, setting a mark i as a positive integer, acquiring the in-bed time of each monitored object, and marking the in-bed time of each monitored object as ZCi; in-bed time is expressed as sleep time and rest time; acquiring the bed leaving time of each monitored object, and marking the bed leaving time of each monitored object as LCi; the out-of-bed time is expressed as the time when the subject is not in bed;
by the formula
Acquiring an activity state analysis coefficient Xi of the monitored object, wherein a1 and a2 are preset proportionality coefficients, and a1 is greater than a2 is greater than 0; the activity state analysis coefficient of the monitored object is a numerical value used for judging whether the activity state analysis of the monitored object is qualified or not by carrying out normalization processing on the parameters of the activity state of the monitored object; the larger the in-bed time of the monitored object is, the smaller the out-of-bed time of the monitored object is, the larger the activity state analysis coefficient of the monitored object is, and the larger the activity state analysis qualified probability of the monitored object is;
comparing the activity state analysis coefficient Xi of the monitored object with an activity state analysis coefficient threshold value:
if the activity state analysis coefficient Xi of the monitored object is larger than or equal to the activity state analysis coefficient threshold, judging that the activity state analysis of the corresponding monitored object is qualified, generating an activity state analysis qualified signal and sending the activity state analysis qualified signal to the server;
if the activity state analysis coefficient Xi of the monitored object is smaller than the activity state analysis coefficient threshold value, judging that the activity state analysis of the corresponding monitored object is unqualified, generating an unqualified activity state analysis signal and sending the unqualified activity state analysis signal to the server;
after the server receives the qualified signal of activity state analysis, generate index analysis signal and send index analysis signal to index analysis unit, index analysis unit is used for carrying out the analysis to the guardianship object's in the community health index, judges guardianship object's health status, through gathering different guardianship object's health status, the equipment of being convenient for is to guardianship object's guardianship, has improved guardianship efficiency, has reduced guardianship object's disease and has worsened the risk, and specific analysis process is as follows:
collecting the heart rate fluctuation value of the monitored object at night, and marking the heart rate fluctuation value of the monitored object at night as BDZi; collecting the heart rate after nine night; acquiring the blood oxygen saturation floating value of the monitored object in the morning, and marking the blood oxygen saturation floating value of the monitored object in the morning as YBHi; the detection time of the blood oxygen saturation is before breakfast;
acquiring an average heart rate value acquired by a monitored object and a detected average blood oxygen saturation, and respectively marking the average heart rate value acquired by the monitored object and the detected average blood oxygen saturation as XPLi and XBli;
by the formula
Acquiring an index analysis coefficient Zi of the monitored object, wherein c1, c2, c3 and c4 are all preset proportionality coefficients, c1 is more than c2 is more than c3 is more than c4 is more than 0, beta is an error correction factor, and the value is 1.23; the index analysis coefficient of the monitored object is to monitorCarrying out normalization processing on the parameters of the body state of the object to obtain a numerical value for judging whether the body state of the monitored object is qualified or not; the larger the heart rate fluctuation value and the blood oxygen saturation floating value obtained by a formula are, the larger the index analysis coefficient of the monitored object is, and the smaller the qualified probability of the physical condition of the monitored object is;
comparing the index analysis coefficient Zi of the monitored object with an index analysis coefficient threshold value:
if the index analysis coefficient Zi of the monitored object is larger than or equal to the index analysis coefficient threshold value, judging that the index analysis of the corresponding monitored object is unqualified, generating an index abnormal signal and sending the index abnormal signal to a server; after the server receives the index abnormal signal, the server marks the corresponding monitored object as a key monitored object, and marks the abnormal index as a key monitoring index, wherein the analysis indexes of the monitored object are heart rate and blood oxygen saturation, and other indexes are all suitable;
if the index analysis coefficient Zi of the monitored object is smaller than the index analysis coefficient threshold value, judging that the index analysis of the corresponding monitored object is qualified, generating an index normal signal and sending the index normal signal to the server;
after the normal signal of index is received to the server, generate and look at the analytic signal and will look at the analytic signal and send to and look at the analytic unit, look at the analytic unit and receive and look at the analytic signal after, look at the data analysis of looking at the family of guardianship object, it judges whether the guardianship object lacks family's companion according to the data judgment of looking at of guardianship object, effectively prevent the guardianship object psychology problem, the comprehensiveness and the high efficiency of guardianship have been improved, look at the data representation and look for frequency and average time length for guardianship object and family, concrete analytic process is as follows:
acquiring the meeting frequency and the average meeting time of the monitored object and the corresponding family, and respectively marking the meeting frequency and the average meeting time of the monitored object and the corresponding family as JJi and SCi; comparing the face meeting frequency and the average face meeting time of the monitored object and the corresponding family with a face meeting frequency threshold value and an average face meeting time threshold value respectively:
if the face meeting frequency and the average face meeting time of the monitored object and the corresponding family are both greater than the corresponding threshold values, judging that the companion of the monitored object corresponding to the family is qualified, generating a sufficient companion signal and sending the sufficient companion signal and the corresponding monitored object to the server;
if the face-meeting frequency of the monitored object and the corresponding family is greater than the face-meeting frequency threshold value, and the average face-meeting duration is less than the average face-meeting duration threshold value, or the face-meeting frequency of the monitored object and the corresponding family is less than the face-meeting frequency threshold value, and the average face-meeting duration is greater than the average face-meeting duration threshold value, judging that the accompany of the monitored object corresponding to the family is unqualified, generating an unqualified accompany signal, and sending the unqualified accompany signal and the corresponding monitored object to the server;
after receiving the unqualified accompanying signal and the corresponding monitoring object, the server marks the corresponding monitoring object as an unmanned accompanying object, arranges a worker to chat with the corresponding unmanned accompanying object, generates a watching signal and sends the watching signal to a family mobile phone terminal of the unmanned accompanying object in a short message form;
monitor terminal is used for monitoring monitor object's affiliated environment, judge whether qualified environment, avoid the environmental anomaly to lead to the old-fashioned guardianship efficiency of community to reduce, the treater generates the environmental analysis signal and sends the environmental analysis signal to the environmental analysis unit, the environmental analysis unit is used for carrying out the analysis to monitor object's affiliated environment, judge whether qualified environment, avoid the environmental impact guardianship object life to lead to monitor object's life level to reduce the efficiency of guardianship, the working strength of guardianship has been increased, concrete analytic process is as follows:
collecting the activity area of the monitored object and marking the activity area as a monitoring analysis area, dividing the monitoring analysis area into o sub-areas, wherein o is a natural number greater than 1, collecting the ratio of the plant coverage area of each sub-area to the area of the corresponding sub-area, and marking the ratio of the plant coverage area of each sub-area to the area of the corresponding sub-area as BZo;
collecting the sweeping frequency and the average sweeping time length of each sub-area, and respectively marking the sweeping frequency and the average sweeping time length of each sub-area as SPo and JPo;
acquiring an environment analysis coefficient Bo of a monitoring analysis area by a formula Bo ═ alpha (BZo xf 1+ SPo xf 2+ JPo xf 3), wherein f1, f2 and f3 are preset proportionality coefficients, f1 is greater than f2 is greater than f3 is greater than 0, and alpha is an error correction factor and is taken as 2.36; the environmental analysis coefficient of the monitoring analysis area is a numerical value for judging whether the environment in the monitoring analysis area is qualified or not by carrying out normalization processing on the parameters of the environment in the monitoring analysis area; the larger the ratio of the plant coverage area to the corresponding sub-area, the larger the sweeping frequency and the average sweeping time length are obtained through a formula, the larger the environmental analysis coefficient of the monitoring analysis area is, and the larger the environmental qualification probability in the monitoring analysis area is;
acquiring the average daily activity number of each subregion, and analyzing the average daily activity number of each subregion and the environment analysis coefficient of the corresponding subregion:
if the average number of people moving every day in the sub-region and the environment analysis coefficient of the corresponding sub-region are both larger than the corresponding threshold value, judging that the environment analysis of the corresponding sub-region is qualified, and marking the environment qualified sub-region as an environment qualified sub-region; if any value of the average number of the people moving every day in the sub-area and the environment analysis coefficient of the corresponding sub-area is smaller than the corresponding threshold value, judging that the environment analysis of the corresponding sub-area is unqualified, and marking the environment analysis as an unqualified environment sub-area;
acquiring the number of environment qualified sub-regions and the number of environment unqualified sub-regions in a monitoring analysis region, if the number of the environment qualified sub-regions is larger than the number of the environment unqualified sub-regions and the number of the environment unqualified sub-regions is smaller than the threshold value of the number of the corresponding environment unqualified sub-regions, judging that the environment analysis of the monitoring analysis region is qualified, generating an environment qualified signal and sending the environment qualified signal to a processor; if the number of the environment-qualified sub-regions is smaller than that of the environment-unqualified sub-regions, or the number of the environment-unqualified sub-regions is larger than the threshold value of the number of the corresponding environment-unqualified sub-regions, judging that the environment analysis of the monitoring analysis region is unqualified, generating an environment-unqualified signal and sending the environment-unqualified signal to a processor;
the processor generates a diet analysis signal and sends the diet analysis signal to the diet analysis unit, and the diet analysis unit is used for analyzing diet in the monitoring analysis region, whether diet of the monitoring object is normal or not is analyzed, the monitoring object is healthily influenced by diet abnormity prevention, monitoring efficiency is reduced, food waste is reduced while the diet of the monitoring object is qualified, and the specific analysis process is as follows:
acquiring the interval duration of purchasing food materials and the number of purchased food materials in a monitoring and analyzing area, and analyzing the interval duration of purchasing food materials and the number of purchased food materials in the monitoring and analyzing area;
if the interval duration of purchasing food materials in the monitoring and analyzing area is larger than the interval duration threshold value and the number of the purchased food materials is smaller than the food material purchasing number threshold value, judging that the food materials in the monitoring and analyzing area are insufficient, generating a food material deficiency signal and sending the food material deficiency signal to the processor;
if the interval duration of purchasing the food materials in the monitoring analysis area is larger than the interval duration threshold, and the number of the purchased food materials is larger than the number threshold of the purchased food materials; or the interval duration of the food materials purchased in the monitoring and analyzing area is smaller than the interval duration threshold, and the number of the purchased food materials is smaller than the food material purchasing number threshold, judging that the food materials in the monitoring and analyzing area are qualified, generating a food analysis qualified signal and sending the food analysis qualified signal to the processor;
if the interval duration of purchasing the food materials in the monitoring and analyzing area is smaller than the interval duration threshold value and the number of the purchased food materials is larger than the number threshold value of the purchased food materials, determining that the food materials in the monitoring and analyzing area are wasted, generating a food material waste signal and sending the food material waste signal to the processor.
A health care monitoring system for an intelligent community monitors the old in the community through a monitoring terminal when working, and judges the living state of the old; after receiving the activity state analysis signal through the activity state analysis unit, monitoring the activity state of the old people; analyzing the physical indexes of the monitored objects in the community through an index analysis unit; the server generates a watching analysis signal and sends the watching analysis signal to a watching analysis unit, and the watching analysis unit analyzes the family watching data of the monitored object; the environment of the monitored object is monitored through the monitoring terminal, the processor generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, and the environment of the monitored object is analyzed through the environment analysis unit; the processor generates a diet analysis signal and sends the diet analysis signal to the diet analysis unit, and the diet in the monitoring analysis area is analyzed through the diet analysis unit.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. A health care monitoring system of an intelligent community is characterized by comprising a monitoring terminal and a monitoring terminal, wherein a server is arranged in the monitoring terminal, and the server is in communication connection with an activity state analysis unit, an index analysis unit and a watching analysis unit; a processor is arranged in the monitoring terminal and is in communication connection with an environment analysis unit and a diet analysis unit;
the monitoring terminal is used for monitoring the old people in the community and judging the living state of the old people, the server generates an activity state analysis signal and sends the activity state analysis signal to the activity state analysis unit, and the activity state analysis unit monitors the activity state of the old people after receiving the activity state analysis signal; the server generates an index analysis signal and sends the index analysis signal to an index analysis unit, and the index analysis unit analyzes the physical indexes of the monitored objects in the community; the server generates a watching analysis signal and sends the watching analysis signal to a watching analysis unit, and the watching analysis unit analyzes the family watching data of the monitored object;
the monitoring terminal is used for monitoring the environment to which the monitored object belongs, the processor generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, and the environment analysis unit is used for analyzing the environment to which the monitored object belongs; the processor generates a diet analysis signal and transmits the diet analysis signal to a diet analysis unit for analyzing the diet in the monitoring analysis area.
2. The system as claimed in claim 1, wherein the state analysis process of the activity state analysis unit is as follows:
marking the old people in the community as the monitored objects, setting a mark i as a positive integer, acquiring the in-bed time of each monitored object, and marking the in-bed time of each monitored object as ZCi; acquiring the bed leaving time of each monitored object, and marking the bed leaving time of each monitored object as LCi;
obtaining an activity state analysis coefficient Xi of the monitored object through analysis; comparing the activity state analysis coefficient Xi of the monitored object with an activity state analysis coefficient threshold value:
if the activity state analysis coefficient Xi of the monitored object is larger than or equal to the activity state analysis coefficient threshold, judging that the activity state analysis of the corresponding monitored object is qualified, generating an activity state analysis qualified signal and sending the activity state analysis qualified signal to the server;
and if the activity state analysis coefficient Xi of the monitored object is smaller than the activity state analysis coefficient threshold value, judging that the activity state analysis of the corresponding monitored object is unqualified, generating an unqualified activity state analysis signal and sending the unqualified activity state analysis signal to the server.
3. The system as claimed in claim 1, wherein the index analysis unit comprises the following steps:
collecting the heart rate fluctuation value of the monitored object at night, and marking the heart rate fluctuation value of the monitored object at night as BDZi; acquiring the blood oxygen saturation floating value of the monitored object in the morning, and marking the blood oxygen saturation floating value of the monitored object in the morning as YBHi;
acquiring an average heart rate value acquired by a monitored object and a detected average blood oxygen saturation, and respectively marking the average heart rate value acquired by the monitored object and the detected average blood oxygen saturation as XPLi and XBli;
obtaining an index analysis coefficient Zi of the monitored object through analysis, and comparing the index analysis coefficient Zi of the monitored object with an index analysis coefficient threshold value:
if the index analysis coefficient Zi of the monitored object is larger than or equal to the index analysis coefficient threshold value, judging that the index analysis of the corresponding monitored object is unqualified, generating an index abnormal signal and sending the index abnormal signal to a server; and if the index analysis coefficient Zi of the monitored object is less than the index analysis coefficient threshold value, judging that the index analysis of the corresponding monitored object is qualified, generating an index normal signal and sending the index normal signal to the server.
4. The intelligent community health care monitoring system as claimed in claim 1, wherein the analysis process of the observation analysis unit is as follows:
acquiring the meeting frequency and the average meeting time of the monitored object and the corresponding family, and respectively marking the meeting frequency and the average meeting time of the monitored object and the corresponding family as JJi and SCi; comparing the face meeting frequency and the average face meeting time of the monitored object and the corresponding family with a face meeting frequency threshold value and an average face meeting time threshold value respectively:
if the face meeting frequency and the average face meeting time of the monitored object and the corresponding family are both greater than the corresponding threshold values, judging that the companion of the monitored object corresponding to the family is qualified, generating a sufficient companion signal and sending the sufficient companion signal and the corresponding monitored object to the server;
if the face-meeting frequency of the monitored object and the corresponding family is greater than the face-meeting frequency threshold value, and the average face-meeting time length is less than the average face-meeting time length threshold value, or the face-meeting frequency of the monitored object and the corresponding family is less than the face-meeting frequency threshold value, and the average face-meeting time length is greater than the average face-meeting time length threshold value, judging that the accompany of the monitored object corresponding to the family is unqualified, generating an accompany unqualified signal, and sending the accompany unqualified signal and the corresponding monitored object to the server.
5. The system as claimed in claim 1, wherein the environment analysis unit analyzes the following steps:
collecting the activity area of the monitored object and marking the activity area as a monitoring analysis area, dividing the monitoring analysis area into o sub-areas, wherein o is a natural number greater than 1, collecting the ratio of the plant coverage area of each sub-area to the area of the corresponding sub-area, and marking the ratio of the plant coverage area of each sub-area to the area of the corresponding sub-area as BZo; collecting the sweeping frequency and the average sweeping time length of each sub-area, and respectively marking the sweeping frequency and the average sweeping time length of each sub-area as SPo and JPo;
acquiring an environment analysis coefficient Bo of a monitoring analysis area through analysis, acquiring the average number of people moving each day of each sub-area, and analyzing the average number of people moving each day of each sub-area and the environment analysis coefficient of the corresponding sub-area:
if the average number of people moving every day in the sub-region and the environment analysis coefficient of the corresponding sub-region are both larger than the corresponding threshold value, judging that the environment analysis of the corresponding sub-region is qualified, and marking the environment qualified sub-region as an environment qualified sub-region; if any value of the average number of the people moving every day in the sub-area and the environment analysis coefficient of the corresponding sub-area is smaller than the corresponding threshold value, judging that the environment analysis of the corresponding sub-area is unqualified, and marking the environment analysis as an unqualified environment sub-area;
acquiring the number of environment qualified sub-regions and the number of environment unqualified sub-regions in a monitoring analysis region, if the number of the environment qualified sub-regions is larger than the number of the environment unqualified sub-regions and the number of the environment unqualified sub-regions is smaller than the threshold value of the number of the corresponding environment unqualified sub-regions, judging that the environment analysis of the monitoring analysis region is qualified, generating an environment qualified signal and sending the environment qualified signal to a processor; and if the number of the environment qualified sub-regions is less than that of the environment unqualified sub-regions, or the number of the environment unqualified sub-regions is greater than the threshold value of the number of the corresponding environment unqualified sub-regions, judging that the environment analysis of the monitoring analysis region is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to the processor.
6. The system as claimed in claim 1, wherein the diet analysis unit comprises the following steps:
acquiring the interval duration of purchasing food materials and the number of purchased food materials in a monitoring and analyzing area, and analyzing the interval duration of purchasing food materials and the number of purchased food materials in the monitoring and analyzing area;
if the interval duration of purchasing food materials in the monitoring and analyzing area is larger than the interval duration threshold value and the number of the purchased food materials is smaller than the food material purchasing number threshold value, judging that the food materials in the monitoring and analyzing area are insufficient, generating a food material deficiency signal and sending the food material deficiency signal to the processor;
if the interval duration of purchasing the food materials in the monitoring analysis area is larger than the interval duration threshold, and the number of the purchased food materials is larger than the number threshold of the purchased food materials; or the interval duration of the food materials purchased in the monitoring and analyzing area is smaller than the interval duration threshold, and the number of the purchased food materials is smaller than the food material purchasing number threshold, judging that the food materials in the monitoring and analyzing area are qualified, generating a food analysis qualified signal and sending the food analysis qualified signal to the processor;
if the interval duration of purchasing the food materials in the monitoring and analyzing area is smaller than the interval duration threshold value and the number of the purchased food materials is larger than the number threshold value of the purchased food materials, determining that the food materials in the monitoring and analyzing area are wasted, generating a food material waste signal and sending the food material waste signal to the processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115295161A (en) * | 2022-08-18 | 2022-11-04 | 亿慧云智能科技（深圳）股份有限公司 | Recuperation monitoring method and system based on millimeter wave radar |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115295161A (en) * | 2022-08-18 | 2022-11-04 | 亿慧云智能科技（深圳）股份有限公司 | Recuperation monitoring method and system based on millimeter wave radar |
| CN115295161B (en) * | 2022-08-18 | 2024-02-06 | 亿慧云智能科技（深圳）股份有限公司 | Recuperation monitoring method and system based on millimeter wave radar |
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Application publication date: 20211228 |