Elderly health assessment method and monitoring system based on Internet of Things

Abstract

The invention discloses an elderly health assessment method based on the Internet of Things and a monitoring system thereof, and the method comprises the steps: S1, judging that a user is an elderly living alone; s2, collecting data of elderly people living alone, wherein the data comprises environment data and personal data; s3, obtaining a data weighted value of the elderly living alone by adopting a weighted calculation mode according to the environment data and the personal data; and S4, judging that the data weighted value of the elderly living alone is not in a first preset range, and sending out early warning information. According to the method, the user is judged to be the elderly living alone, the data weighted value of the elderly living alone is obtained through weighted calculation of the collected data of the elderly living alone, it is judged that the health condition of the elderly living alone is good if the data weighted value of the elderly living alone is within the first preset range, and if not, early warning information is sent out. And the safety of elderly people living alone is further improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent monitoring, and in particular, relates to an elderly health assessment method and monitoring system based on the Internet of Things. Background Art

[0002] China is accelerating into an aging society. Population aging refers to the dynamic that the proportion of the elderly population in the total population increases accordingly due to the decrease in the number of young people and the increase in the number of older people as the fertility rate decreases and the life expectancy increases. Nowadays, young people generally go out to work, leaving the elderly alone at home. The living conditions of the elderly living alone are an issue that people urgently need to pay attention to. If they fall, have a heart attack or other sudden abnormal behaviors, they may lose their precious lives because no one notices and there is no timely rescue. Therefore, how to identify the abnormal behaviors of the elderly living alone in their daily lives has become a difficult problem in the process of elderly care for the elderly living alone.

[0003] The Chinese patent application number 201510469261.2 discloses a remote monitoring method, system and client for elderly people living alone based on water network. By remotely receiving the changes in the water consumption of the elderly in real time, timely receiving the reminder of abnormal water consumption of the elderly living alone, the living conditions of the elderly can be understood and corresponding measures can be taken.

[0004] In the above technical scheme, the analysis of water consumption indirectly determines whether there are safety hazards for elderly people living alone, which is often inaccurate and cannot comprehensively detect and analyze various indicators of the elderly. It is also impossible to obtain a more accurate actual situation of the elderly living alone and cannot guarantee the safety of the elderly living alone.

[0005] In view of this, the present invention is proposed. Summary of the invention

[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the existing technology. On the one hand, a method for evaluating the health of the elderly based on the Internet of Things is provided to determine whether a user is an elderly person living alone, collect data to obtain a weighted value of the elderly person's data, and determine that the weighted value of the elderly person's data is not within a first preset range, issue an early warning message, and improve the safety of the elderly person living alone.

[0007] Another aspect of the present invention also provides a monitoring system for the elderly health assessment method applied to the above-mentioned Internet of Things.

[0008] In order to solve the above technical problems, the basic concept of the technical solution adopted by the present invention is:

[0009] A method for assessing the health of the elderly based on the Internet of Things, characterized by comprising:

[0010] S1, determine whether the user is a lonely elderly person;

[0011] S2. Collecting data of lonely elderly people, including environmental data and personal data;

[0012] S3, obtaining a weighted value of the data of lonely elderly people by weighted calculation according to the environmental data and the personal data;

[0013] S4. If the weighted value of the data of lonely elderly people is determined not to be within a first preset range, a warning message is issued.

[0014] Furthermore, it also includes:

[0015] S5. If the weighted value of the data of the elderly widowed and lonely is within the first preset range, further determine that the weighted value of the data of the elderly widowed and lonely is not within the second preset range, and issue a warning message.

[0016] Further, S1, determining whether the user is a lonely elderly person specifically includes:

[0017] S11, obtaining user information of the community, wherein the user information at least includes age information;

[0018] S12. Filter the elderly group according to the age information.

[0019] Further, S12, screening the elderly group according to the age information specifically includes:

[0020] S121, installing a camera device, determining the number of portraits taken by the camera device within a preset time, and determining that the person is a lonely elderly person based on the number of portraits.

[0021] Furthermore, the environmental data at least includes water consumption data and electricity consumption data, and the personal data at least includes breathing frequency data and breathing decibel data, and the water consumption data is recorded as w1, the electricity consumption data is recorded as w2, the breathing frequency data is recorded as w3, and the breathing decibel data is recorded as w4;

[0022] S3. A weighted value of the data of lonely elderly people is obtained by weighted calculation according to the environmental data and the personal data. The weighted calculation method includes a weight factor, and the weight factor is recorded as θ i , i∈{1,2,3,4}, the specific calculation formula is as follows:

[0023] W=θ1*w1+θ2*w2+θ3*w3+θ4*w4

[0024] Where W represents the weighted value of the data of lonely elderly people, θ i It represents the set values ​​corresponding to different environmental data and different personal data, and the weight factor of water consumption data is recorded as θ1, the weight factor of electricity consumption data is recorded as θ2, the weight factor of breathing frequency data is recorded as θ3, the weight factor of breathing decibel data is recorded as θ4, and θ1+θ2+θ3+θ4=1.

[0025] Further, the data of the reference database is weighted to obtain a preset value, and the reference database is established based on the water consumption reference value, the power consumption reference value, the breathing frequency reference value and the sleep decibel reference value, and the water consumption reference value is recorded as t1, the power consumption reference value is recorded as t2, the breathing frequency reference value is recorded as t3 and the sleep decibel reference value is recorded as t4;

[0026] The preset value calculation method includes a weight factor θ i , i∈{1,2,3,4}, the specific calculation formula is as follows:

[0027] W1=θ1*t1+θ2*t2+θ3*t3+θ4*t4

[0028] Wherein W1 represents a preset value, a first floating value is set above and below the preset value, the first floating value is recorded as X1, the first floating value is a first set value, and the first preset range is [W1-X1, W1+X1].

[0029] Further, the data of the historical database is weighted to obtain historical values, and the historical database is established based on the historical values ​​of power consumption, water consumption, respiratory frequency, and sleep decibels, and the historical values ​​of power consumption are recorded as p1, the historical values ​​of water consumption are recorded as p2, the historical values ​​of respiratory frequency are recorded as p3, and the historical values ​​of sleep decibels are recorded as p4;

[0030] The historical value calculation method includes the factor θ i , i∈{1,2,3,4}, the specific calculation formula is as follows:

[0031] W2=θ1*p1+θ2*p2+θ3*p3+θ4*p4

[0032] Wherein W2 represents the historical value, and a second floating value is set above and below the historical value. The second floating value is recorded as X2. The second floating value is a second set value. The second preset range is [W2-X2, W2+X2].

[0033] A monitoring system for an elderly health assessment method, comprising:

[0034] The first judgment module is used to judge whether the user is a lonely elderly person;

[0035] A collection module, used to collect the data of the lonely elderly acquired by the first judgment module, wherein the data includes environmental data and personal data;

[0036] A first processing module is connected to the acquisition module for obtaining a weighted value of the data of the lonely elderly by weighted calculation of the environmental data and the personal data, and determining that the weighted value of the data of the lonely elderly is not within a first preset range;

[0037] The first warning module issues a warning message according to the result obtained by the first processing module.

[0038] Furthermore, the monitoring system comprises:

[0039] A second processing module is connected to the first processing module for determining that the weighted value of the data of the lonely elderly is not within a second preset range;

[0040] The second warning module issues a warning message according to the result obtained by the second processing module.

[0041] Furthermore, the monitoring system further includes:

[0042] An acquisition module, used to acquire user information of the community, wherein the user information at least includes age information;

[0043] A screening module, screening the elderly group according to the user information of the community obtained by the acquisition module;

[0044] The camera module takes pictures of the number of people in the set area according to the elderly group obtained by the screening module;

[0045] The second judgment module determines that the person is an elderly person living alone according to the number of the portraits.

[0046] After adopting the above technical scheme, the present invention has the following beneficial effects compared with the prior art.

[0047] The present invention determines that the user is an elderly person living alone, obtains a weighted value of the elderly person's data through weighted calculation of the collected data of the elderly person, and judges that the weighted value of the elderly person's data is not within a first preset range, indicating that the elderly person's health condition is poor, and issues a warning message, thereby further improving the safety of the elderly person living alone.

[0048] The present invention determines that the weighted value of the data of the lonely elderly is within a first preset range. In order to ensure the accuracy of the weighted value of the data of the lonely elderly and eliminate its contingency, it is determined again that the weighted value of the data of the lonely elderly is within a second preset range, indicating that the lonely elderly is in good health, thereby improving the safety of the lonely elderly.

[0049] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings are part of the present invention and are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but do not constitute an improper limitation of the present invention. Obviously, the drawings described below are only some embodiments. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the accompanying drawings:

[0051] Figure 1 and Figure 2 is a flow chart of the elderly health assessment method of the present invention;

[0052] Figure 3 It is a flow chart of the present invention for judging whether a user is a lonely elderly person.

[0053] It should be noted that these drawings and textual descriptions are not intended to limit the conceptual scope of the present invention in any way, but are intended to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention but are not used to limit the scope of the present invention.

[0055] In the description of the present invention, it should be noted that the directions or positional relationships indicated by terms such as “upper”, “lower”, “front”, “back”, “left”, “right”, “vertical”, “inside” and “outside” are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention.

[0056] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] like Figure 1 to Figure 2 As shown, the present invention provides a method for evaluating the health of the elderly based on the Internet of Things, the method comprising:

[0058] S1, determine whether the user is a lonely elderly person;

[0059] S2. Collecting data of lonely elderly people, including environmental data and personal data;

[0060] S3, obtaining a weighted value of the data of lonely elderly people by weighted calculation according to the environmental data and the personal data;

[0061] S4. If the weighted value of the data of lonely elderly people is determined not to be within a first preset range, a warning message is issued.

[0062] Furthermore, if it is determined that the user is an elderly person living alone, the environmental data and personal data of the elderly person are collected, and the environmental data and personal data parameters are weightedly calculated to obtain a weighted value of the elderly person's data. If the weighted value of the elderly person's data is within a first preset range, it indicates that the elderly person is in good health. Otherwise, an early warning message is issued, thereby improving the safety of the elderly person.

[0063] The present invention also includes, S5, if the weighted value of the data of the lonely elderly is within the first preset range, further determining that the weighted value of the data of the lonely elderly is not within the second preset range, and issuing a warning message.

[0064] Further, if it is determined that the weighted value of the elderly person's data is not within the first preset range, it means that the elderly person is in abnormal physical condition, a warning message is issued, and step S5 is no longer executed; if it is determined that the weighted value of the elderly person's data is within the first preset range, in order to ensure the accuracy of the elderly person's data, it is again determined that the weighted value of the elderly person's data is within the second preset range, indicating that the elderly person is in good health, otherwise, a warning message is issued, the warning information is shared with the medical service department, and corresponding security measures are taken to further improve the safety of the elderly person.

[0065] like Figure 3 As shown, step S1 of the present invention, determining whether the user is an elderly person living alone, specifically includes:

[0066] S11, obtaining user information of the community, wherein the user information at least includes age information;

[0067] S12. Filter the elderly group according to the age information.

[0068] Furthermore, by acquiring all user information in the community, the user information at least includes the user's age information, and screening out the elderly group aged 60 and above from the age information of all users in the community.

[0069] Step S12 of the present invention, screening the elderly group according to the age information specifically includes:

[0070] S121, installing a camera device, determining the number of portraits taken by the camera device within a preset time, and determining that the person is a lonely elderly person based on the number of portraits.

[0071] Furthermore, a camera is installed at the door of the elderly person's home. If the number of people in the set area photographed by the camera is determined to be one person for three consecutive days or more, the elderly person is determined to be a lonely elderly person.

[0072] The environmental data of the present invention at least includes water consumption data and electricity consumption data, and the personal data at least includes breathing frequency data and breathing decibel data, and the water consumption data is recorded as w1, the electricity consumption data is recorded as w2, the breathing frequency data is recorded as w3, and the breathing decibel data is recorded as w4;

[0073] S3. A weighted value of the data of lonely elderly people is obtained by weighted calculation according to the environmental data and the personal data. The weighted calculation method includes a weight factor, and the weight factor is recorded as θ i , i∈{1,2,3,4}, the specific calculation formula is as follows:

[0074] W=θ1*w1+θ2*w2+θ3*w3+θ4*w4

[0075] Where W represents the weighted value of the data of lonely elderly people, θ i It represents the set values ​​corresponding to different environmental data and different personal data, and the weight factor of water consumption data is recorded as θ1, the weight factor of electricity consumption data is recorded as θ2, the weight factor of breathing frequency data is recorded as θ3, the weight factor of breathing decibel data is recorded as θ4, and θ1+θ2+θ3+θ4=1.

[0076] Furthermore, intelligent detection equipment is installed at the water inlet and electricity inlet of the lonely elderly respectively. The intelligent detection equipment detects the water consumption data and the electricity consumption data in real time. The breathing frequency data and the breathing decibel data are detected in real time through the smart mattress installed in the home of the lonely elderly. The water consumption data, electricity consumption data, breathing frequency data and breathing decibel data are sent to the background terminal for storage.

[0077] Furthermore, based on the collected water consumption data, electricity consumption data, breathing frequency data and breathing decibel data, a data curve is drawn by drawing points and connecting lines, so as to observe the trend of the data curve intuitively and clearly.

[0078] The data of the reference database of the present invention is obtained by weighted calculation to obtain a preset value, and the reference database is established based on a water consumption reference value, a power consumption reference value, a respiratory frequency reference value, and a sleep decibel reference value, and the water consumption reference value is recorded as t1, the power consumption reference value is recorded as t2, the respiratory frequency reference value is recorded as t3, and the sleep decibel reference value is recorded as t4;

[0079] The preset value calculation method includes a weight factor θ i , i∈{1,2,3,4}, the specific calculation formula is as follows:

[0080] W1=θ1*t1+θ2*t2+θ3*t3+θ4*t4

[0081] Wherein W1 represents a preset value, a first floating value is set above and below the preset value, the first floating value is recorded as X1, the first floating value is a first set value, and the first preset range is [W1-X1, W1+X1].

[0082] Furthermore, the reference database collects data reference values ​​of 10,000 lonely elderly people, which has a certain reference value, and obtains a preset value by weighted calculation, X1=W1*10%, and then obtains the first preset range. If the weighted value of the lonely elderly data is within the first preset range, that is, W∈[W1-X1, W1+X1], it means that the lonely elderly is in good health, otherwise If the weighted value of the data of lonely elderly people is not within the first preset range for two consecutive days or more, it means that the health condition of the lonely elderly people is poor, and an early warning message is generated.

[0083] The data of the historical database of the present invention is obtained by weighted calculation to obtain historical values. The historical database is established based on the historical values ​​of electricity consumption, water consumption, respiratory frequency and sleep decibels. The historical values ​​of electricity consumption are recorded as p1, the historical values ​​of water consumption are recorded as p2, the historical values ​​of respiratory frequency are recorded as p3 and the historical values ​​of sleep decibels are recorded as p4.

[0084] The historical value calculation method includes a weight factor θ i , i∈{1,2,3,4}, the specific calculation formula is as follows:

[0085] W2=θ1*p1+θ2*p2+θ3*p3+θ4*p4

[0086] Wherein W2 represents the historical value, and a second floating value is set above and below the historical value. The second floating value is recorded as X2. The second floating value is a second set value. The second preset range is [W2-X2, W2+X2].

[0087] Furthermore, the historical database collects the data history values ​​of the lonely elderly at the set time to avoid the situation where the historical data saved by the lonely elderly is inaccurate due to illness. The data history values ​​within the set time are sorted and analyzed, and the inaccurate data in the data history values ​​are removed to generate missing data. The missing data are filled in according to actual needs. The historical value is obtained by the above calculation formula, X2=W2*10%, and the second preset range is further obtained. If the weighted value of the lonely elderly data is within the second preset range, that is, W∈[W2-X2, W2+X2], it means that the lonely elderly is in good health. Otherwise, if If the weighted value of the data of lonely elderly people is not within the second preset range for two consecutive days or more, it means that the health condition of the lonely elderly people is poor, and a warning message is generated.

[0088] The present invention also provides a monitoring system for the elderly health assessment method based on the Internet of Things, the monitoring system comprising:

[0089] The first judgment module is used to judge whether the user is a lonely elderly person;

[0090] A collection module, used to collect the data of the lonely elderly acquired by the first judgment module, wherein the data includes environmental data and personal data;

[0091] A first processing module is connected to the acquisition module for obtaining a weighted value of the data of the lonely elderly by weighted calculation of the environmental data and the personal data, and determining that the weighted value of the data of the lonely elderly is not within a first preset range;

[0092] The first warning module issues a warning message according to the result obtained by the first processing module.

[0093] The detection system of the present invention further comprises:

[0094] A second processing module is connected to the first processing module for determining that the weighted value of the data of the lonely elderly is not within a second preset range;

[0095] The second warning module issues a warning message according to the result obtained by the second processing module.

[0096] An acquisition module, used to acquire user information of the community, wherein the user information at least includes age information;

[0097] A screening module, screening the elderly group according to the user information of the community obtained by the acquisition module;

[0098] The camera module takes pictures of the number of people in the set area according to the elderly group obtained by the screening module;

[0099] The second judgment module determines that the person is an elderly person living alone according to the number of the portraits.

[0100] Furthermore, it also includes a display module for visually displaying the data curve;

[0101] The transmitting module is communicatively connected with the first warning module and the second warning module, and is used to share the warning information with the community medical center and the elderly care center, and take corresponding protective measures according to the warning information.

[0102] The above description is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this patent can make some changes or modifications to equivalent embodiments of equivalent changes by using the technical content suggested above without departing from the scope of the technical solution of the present invention. The implementation scheme in the above embodiment can also be further combined or replaced. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the solution of the present invention.

Claims

1. A method for assessing the health of the elderly based on the Internet of Things, characterized in that: include, S1, determine whether the user is a lonely elderly person; S2. Collect data of lonely elderly people, including environmental data and personal data; S3, obtaining a weighted value of the data of lonely elderly people by weighted calculation according to the environmental data and the personal data; S4. If the weighted value of the data of lonely elderly people is determined not to be within a first preset range, a warning message is issued.

2. The method for assessing the health of the elderly based on the Internet of Things according to claim 1 is characterized in that: Also includes, S5. If the weighted value of the data of the elderly widowed and lonely is within the first preset range, further determine that the weighted value of the data of the elderly widowed and lonely is not within the second preset range, and issue a warning message.

3. The method for assessing the health of the elderly based on the Internet of Things according to claim 1 is characterized in that: S1. Determining whether the user is an elderly person living alone includes: S11, obtaining user information of the community, wherein the user information at least includes age information; S12. Filter the elderly group according to the age information.

4. The method for assessing the health of the elderly based on the Internet of Things according to claim 3 is characterized in that: S12. Screening the elderly group according to the age information specifically includes: S121, installing a camera device, determining the number of portraits taken by the camera device within a preset time, and determining that the person is a lonely elderly person based on the number of portraits.

5. The method for assessing the health of the elderly based on the Internet of Things according to claim 1 is characterized in that: The environmental data at least includes water consumption data and electricity consumption data, and the personal data at least includes breathing frequency data and breathing decibel data, and the water consumption data is recorded as w1, the electricity consumption data is recorded as w2, the breathing frequency data is recorded as w3, and the breathing decibel data is recorded as w4; S3. A weighted value of the data of lonely elderly people is obtained by weighted calculation according to the environmental data and the personal data. The weighted calculation method includes a weight factor, and the weight factor is recorded as θ i , i∈{1,2,3,4}, the specific calculation formula is as follows: W=θ1*w1+θ2*w2+θ3*w3+θ4*w4 Where W represents the weighted value of the data of lonely elderly people, θ i It represents the set values ​​corresponding to different environmental data and different personal data, and the weight factor of water consumption data is recorded as θ1, the weight factor of electricity consumption data is recorded as θ2, the weight factor of breathing frequency data is recorded as θ3, the weight factor of breathing decibel data is recorded as θ4, and θ1+θ2+θ3+θ4=1.

6. The method for assessing the health of the elderly based on the Internet of Things according to claim 5 is characterized in that: The data of the reference database is used to obtain a preset value by weighted calculation. The reference database is established based on a water consumption reference value, a power consumption reference value, a respiratory frequency reference value, and a sleep decibel reference value. The water consumption reference value is recorded as t1, the power consumption reference value is recorded as t2, the respiratory frequency reference value is recorded as t3, and the sleep decibel reference value is recorded as t4. The preset value calculation method includes a weight factor θ i , i∈{1,2,3,4}, the specific calculation formula is as follows: W1=θ1*t1+θ2*t2+θ3*t3+θ4*t4 Wherein W1 represents a preset value, a first floating value is set above and below the preset value, the first floating value is a first set value, the first floating value is recorded as X1, and the first preset range is [W1-X1, W1+X1].

7. The method for assessing the health of the elderly based on the Internet of Things according to claim 6 is characterized in that: The data of the historical database is weighted to obtain historical values. The historical database is established based on the historical values ​​of electricity consumption, water consumption, respiratory rate and sleep decibel. The historical value of electricity consumption is recorded as p1, the historical value of water consumption is recorded as p2, the historical value of respiratory rate is recorded as p3 and the historical value of sleep decibel is recorded as p4. The historical value calculation method includes a weight factor θ i , i∈{1,2,3,4}, the specific calculation formula is as follows: W2=θ1*p1+θ2*p2+θ3*p3+θ4*p4 Wherein W2 represents the historical value, and a second floating value is set above and below the historical value. The second floating value is a second set value. The second floating value is recorded as X2, and the second preset range is [W2-X2, W2+X2].

8. A monitoring system for the elderly health assessment method according to any one of claims 1 to 7, characterized in that: include, The first judgment module is used to judge whether the user is a lonely elderly person; A collection module, used to collect the data of the lonely elderly acquired by the first judgment module, wherein the data includes environmental data and personal data; A first processing module is connected to the acquisition module for obtaining a weighted value of the data of the lonely elderly by weighted calculation of the environmental data and the personal data, and determining that the weighted value of the data of the lonely elderly is not within a first preset range; The first warning module issues a warning message according to the result obtained by the first processing module.

9. The monitoring system of the elderly health assessment method according to claim 8, characterized in that: include, A second processing module is connected to the first processing module for determining that the weighted value of the data of the lonely elderly is not within a second preset range; The second warning module issues a warning message according to the result obtained by the second processing module.

10. The monitoring system of the elderly health assessment method according to claim 9, characterized in that: Also includes, An acquisition module, used to acquire user information of the community, wherein the user information at least includes age information; A screening module, screening the elderly group according to the user information of the community obtained by the acquisition module; The camera module takes pictures of the number of people in the set area according to the elderly group obtained by the screening module; The second judgment module determines that the person is an elderly person living alone according to the number of the portraits.

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