An elderly assessment and care system and method based on the Internet of Things

Abstract

The invention discloses an elderly assessment and nursing system and method based on the Internet of Things, and relates to the technical field of elderly care. The system comprises a health information collection module, a health data detection module, a health status assessment module, a nursing adjustment module and a nursing supervision module; the technical key points are: by real-time monitoring of changes in estimated values ​​of the health level of the elderly, timely discovering health risks and issuing alarm prompt signals, and continuing to observe on this basis, thereby ensuring the accuracy of subsequent judgment results, improving the accuracy and timeliness of elderly health monitoring, effectively preventing and handling health problems, executing regular accompanying strategies according to nursing adjustment instructions, adjusting the accompanying time of accompanying personnel, and supervising the regular taking of medicines, ensuring that the elderly receive timely and effective nursing and care, providing more personalized and accurate nursing services for the elderly, and improving nursing quality and effects.

Description

Technical Field

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

[0002] The existing authorization announcement number is CN115860999B, and the technical solution pointed out in the document named "A system and method for evaluating and caring for the elderly based on the Internet of Things" includes: obtaining basic nursing data of the target object to form basic nursing service information; based on the basic nursing service information, collecting health care monitoring data to form physical health care monitoring information and mental health care monitoring information; collecting real-time nursing monitoring data of the target object, combining the physical health care monitoring information and the mental health care monitoring information, conducting physical and mental health status nursing monitoring and analysis to form physical and mental health status nursing information; based on the physical and mental health status nursing information, forming a nursing log of the target object and performing health care, it uses the Internet of Things technology to evaluate and adjust the nursing content in real time according to the actual situation of the elderly, and also pays attention to the mental health of the elderly and provides corresponding mental health care to achieve better quality nursing services, but it does not effectively manage the medical staff who care for the corresponding elderly.

[0003] In combination with the above documents and existing technologies, when using the Internet of Things technology to evaluate and care for the health status of the elderly, it is usually necessary to give each elderly person a special bracelet to detect the vital signs data of each elderly person, such as heart rate and blood pressure, etc. The vital signs data are wirelessly transmitted to the monitoring center using the Internet of Things technology, and the monitoring center comprehensively analyzes the health status of the corresponding elderly, and then evaluates or warns based on the analysis results. However, relying solely on these vital signs data cannot ensure the accuracy of the assessment of the health status of the elderly. At the same time, for some elderly people who have abnormalities but feel good, close observation and care are required. When caring for these elderly people, usually only the length of care is manually adjusted, and accurate care services cannot be provided, which affects the overall care effect. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides an IoT-based elderly assessment and care system and method, which monitors the changes in the estimated health status of the elderly in real time, promptly discovers health risks and issues alarm prompt signals, and continues to observe on this basis, thereby ensuring the accuracy of subsequent judgment results, improving the accuracy and timeliness of elderly health monitoring, effectively preventing and treating health problems, and executing regular accompanying strategies according to nursing adjustment instructions, adjusting the accompanying time of accompanying personnel, and supervising the regular taking of medicines, to ensure that the elderly receive timely and effective nursing and care, provide more personalized and accurate nursing services for the elderly, improve nursing quality and effectiveness, and solve the problems raised in the background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] An elderly assessment and care system based on the Internet of Things, comprising:

[0009] Health information collection module, to obtain the health information of the elderly;

[0010] The health data detection module locates the location of the elderly through GPS and determines whether they are indoors or outdoors. If they are determined to be indoors, the health information of the elderly is extracted and used to generate a first health assessment index; if they are determined to be outdoors, the health information of the elderly is extracted and combined with the collected environment-related data sets to generate a second health assessment index;

[0011] When the health assessment index at any moment exceeds the preset corresponding health value, an early warning is issued and an inspection strategy is executed; under the condition that the health assessment index does not exceed the corresponding health value within a day, if the elderly stay indoors for more than the preset value, the health level estimate is obtained based on the first health assessment index; if the elderly stay indoors for less than the preset value, the second health assessment index is used as a correction value to correct the first health assessment index and obtain the health level estimate;

[0012] The health status assessment module generates a corresponding curve chart based on the daily estimated health status of the elderly. When it is detected that the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the preset standard threshold, the established monitoring operation is executed to observe the elderly for N days starting from the current time point. When the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the standard threshold on at least one day in the N days, the nursing adjustment instruction is triggered;

[0013] The nursing adjustment module, when receiving nursing adjustment instructions, executes the regular accompanying strategy, adjusts the daily accompanying time of the accompanying personnel, and supervises the regular taking of medication.

[0014] Furthermore, the health information includes blood pressure values, blood sugar values, body temperature values, and heart rate values.

[0015] Furthermore, the process of generating the first health assessment index is as follows:

[0016] Based on the dimensionless health information, the formula for generating the first health assessment index is as follows:

[0017] ;

[0018] In the formula, represents the first health assessment index, Respectively represent blood pressure value, blood sugar value, body temperature value and heart rate value, weight coefficient: , , , .

[0019] Furthermore, the process of generating the second health assessment index is as follows:

[0020] The collected environment-related data sets include ambient temperature, PM value, and the length of time the elderly stay outdoors. The health information and environment-related data sets are dimensionlessly processed, and the formula for generating the second health assessment index is as follows:

[0021] ;

[0022] ;

[0023] In formula (1), Represents the second health assessment index, with a preset proportional coefficient: In formula (2), Represents the comprehensive value of influencing factors, Respectively represent the ambient temperature, PM value and the length of time the elderly stay outdoors, weight coefficient: , , .

[0024] Furthermore, the content of the execution inspection strategy is:

[0025] When the elderly are outdoors, they will be persuaded to go indoors for examination. When the elderly are indoors, they will be examined directly. During the examination, medical staff will be notified to conduct a preliminary examination of the elderly. If there are any problems, they will be immediately sent to the hospital for treatment. If there are no problems, the elderly will be arranged to rest.

[0026] Furthermore, the formula used to calculate the estimated health level is as follows:

[0027] ;

[0028] In the formula, Indicates the length of time the elderly spend indoors in a day. It represents the preset value, t represents the corresponding time, t=1, 2, …, L, L is a positive integer, and when L is n, n represents the estimated time that the elderly stay indoors in a day, and when L is k, k represents the estimated time that the elderly stay outdoors in a day.

[0029] Furthermore, the difference between the estimated health level of the previous day and the estimated health level of the next day is calculated as follows: the difference is equal to the absolute value of the value obtained by subtracting the estimated health level of the next day from the estimated health level of the previous day.

[0030] Furthermore, the process of adjusting the daily accompanying hours of the accompanying personnel is as follows:

[0031] Calculate the interval value obtained by the difference between the estimated health status of the previous day and the estimated health status of the next day exceeding the standard threshold, and take the average value of the interval value in N days, combined with the established accompanying time, to obtain the estimated value of the accompanying adjustment time. The corresponding accompanying personnel of the elderly will complete the subsequent daily accompanying of the elderly according to the estimated value of the accompanying adjustment time, and the calculation method of the estimated value of the accompanying adjustment time is as follows:

[0032] ;

[0033] In the formula, Indicates the estimated value of the nursing adjustment time. Indicates the established duration of care. represents the error correction factor, represents the difference between the estimated health status of the previous day and the estimated health status of the next day, i=1, 2, ..., N, Indicates the standard threshold.

[0034] Furthermore, it also includes a nursing supervision module. Under the condition that the regular accompanying strategy is not implemented, if the distance between the nursing staff and the corresponding elderly exceeds the set distance for more than V minutes, a first warning signal is issued to remind idle medical staff to take care of the elderly; under the condition that the regular accompanying strategy is implemented, if the distance between the nursing staff and the corresponding elderly exceeds the set distance for more than Vo minutes, a first warning signal is issued; the method of setting Vo minutes is:

[0035] ;

[0036] In the formula, Indicates the correction factor.

[0037] An evaluation and nursing method for the elderly based on the Internet of Things comprises the following steps:

[0038] S1. Obtain the health information of the elderly;

[0039] S2. Locate the location of the elderly through GPS and determine whether they are indoors or outdoors. If it is determined that they are indoors, extract and generate a first health assessment index based on the elderly's health information; if it is determined that they are outdoors, extract the elderly's health information and generate a second health assessment index in combination with the collected environment-related data set;

[0040] When the health assessment index at any moment exceeds the preset corresponding health value, an early warning is issued and an inspection strategy is executed; under the condition that the health assessment index does not exceed the corresponding health value within a day, if the elderly stay indoors for more than the preset value, the health level estimate is obtained based on the first health assessment index; if the elderly stay indoors for less than the preset value, the second health assessment index is used as a correction value to correct the first health assessment index and obtain the health level estimate;

[0041] S3. Generate a corresponding curve chart based on the estimated health status of the elderly every day. When it is detected that the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the preset standard threshold, perform the established monitoring operation, observe the elderly for N days starting from the current time point, and trigger the nursing adjustment instruction when the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the standard threshold on at least one day in the N days;

[0042] S4. When receiving nursing adjustment instructions, implement regular accompanying strategies, adjust the accompanying time of the accompanying personnel every day, and supervise the regular medication taking;

[0043] S5. Under the condition that the regular accompanying strategy is not implemented, if the distance between the caregiver and the corresponding elderly person exceeds the set distance for more than V minutes, the first warning signal will be issued to remind idle medical staff to take care of the elderly person; under the condition that the regular accompanying strategy is implemented, if the distance between the caregiver and the corresponding elderly person exceeds the set distance for more than Vo minutes, the first warning signal will be issued.

[0044] (III) Beneficial effects

[0045] The present invention provides an elderly assessment and care system and method based on the Internet of Things, which has the following beneficial effects:

[0046] 1. Real-time monitoring of the location and environment of the elderly to provide more comprehensive health protection. Different information or parameters are used in different scenarios to ensure the effectiveness of the calculated health assessment index. Based on the health assessment index in different scenarios, the estimated health level reflecting the health status of the elderly is comprehensively calculated to improve the accuracy of the assessment, and timely warnings and measures are taken to reduce the health risks of the elderly.

[0047] 2. By real-time monitoring of changes in the estimated health status of the elderly, timely discover health risks and issue warning signals, and continue to observe on this basis, so as to ensure the accuracy of subsequent judgment results, improve the accuracy and timeliness of health monitoring of the elderly, effectively prevent and deal with health problems, implement regular accompanying strategies according to nursing adjustment instructions, adjust the accompanying time of accompanying personnel, and supervise the regular use of medicines to ensure that the elderly receive timely and effective care and attention, provide more personalized and accurate nursing services for the elderly, and improve the quality and effect of nursing;

[0048] 3. Under the condition of a given accompanying time, it means that the elderly are doing well, and the time when the caregiver leaves can be set flexibly. For the elderly in abnormal conditions, someone needs to accompany them at all times, but a certain time is also set to deal with emergencies of the caregivers, ensuring that medical staff can make emergency adjustments. This reflects the humanized design of the system and ensures the effectiveness of nursing work in management. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a schematic diagram of the module structure of an IoT-based elderly assessment and care system in the present invention;

[0050] Figure 2 The present invention is a flowchart of an elderly care method based on the Internet of Things. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] Example 1: Please refer to Figure 1 ,This embodiment provides an elderly assessment and nursing system based on the Internet of Things, which includes a health information collection module, a health data detection module, a health status assessment module, a nursing adjustment module and a nursing supervision module;

[0053] The design concept of the whole system is as follows:

[0054] By using the Internet of Things technology, multi-dimensional data information is collected, and then according to the specific scene settings, targeted detection is carried out on the elderly indoors or outdoors, and the health assessment index under the corresponding scene is preliminarily calculated. By real-time monitoring of the health assessment index, it is possible to determine whether the elderly are healthy. On the premise of determining health, the evaluation and calculation are continued to obtain an estimated value that does not need to consider different scenes. It is used to evaluate the health level of the corresponding elderly, and then a curve chart of the estimated value changing over time is generated. According to the changes in the curve chart, it is determined whether the elderly have any abnormal conditions. If there are no abnormalities, the established nursing work will continue. If there are abnormalities, the established nursing work will be adjusted, and the nursing work performed under different situations will be monitored, thereby realizing the operation of the entire system.

[0055] Application scenario description:

[0056] The premise of the operation of this system is that the indoor environment of the elderly is managed by the existing fresh air system. The fresh air system is a device that can improve the indoor air quality. It introduces fresh air from the outside, filters it, purifies it, and then sends it into the room. At the same time, it discharges the dirty air from the room to the outside, thereby keeping the indoor air fresh and healthy. Regarding the specific models of the fresh air system, there are many different brands and types available on the market, such as central fresh air systems, wall-mounted fresh air systems, cabinet fresh air systems, etc. The purpose of building this fresh air system is to ensure the stability and comfort of the indoor environment, so that the indoor environment is not used as an indicator or factor for evaluating the health of the elderly. As for the outdoor environment, the indoor environment of the elderly will be affected by the outdoor environment. For example, in winter, the outdoor temperature is too low, which may increase the risk of the elderly catching a cold or other respiratory diseases.

[0057] Hardware design:

[0058] Health information collection module, to obtain the health information of the elderly;

[0059] Among them, health information includes blood pressure, blood sugar, body temperature and heart rate;

[0060] Device description: Smart bracelets or watches usually integrate a variety of sensors, which can monitor health data such as heart rate and body temperature in real time, and transmit data by connecting to mobile phones or the Internet of Things. Such devices usually connect via Bluetooth and transmit health data to the user's mobile phone application in real time, so that users can check their health status at any time; some homemade bracelets are also equipped with optical sensors to detect changes in blood flow and estimate blood pressure. This method is usually called photoplethysmography (PPG) technology; for blood sugar testing, optical sensors or sensor patches can be used in combination to detect blood sugar levels under the skin through optical sensors, or the bracelet can be integrated with an external blood sugar monitoring device, and the external device can be worn around the waist. The blood sugar value is measured by using several sensor patches in contact with the skin, and the data is transmitted to the bracelet or watch for recording and analysis.

[0061] Software Design:

[0062] The health data detection module locates the location of the elderly through GPS and determines whether they are indoors or outdoors. If they are determined to be indoors, the health information of the elderly is extracted and used to generate a first health assessment index; if they are determined to be outdoors, the health information of the elderly is extracted and combined with the collected environment-related data sets to generate a second health assessment index;

[0063] When the health assessment index at any moment exceeds the preset corresponding health value, an early warning is issued and an inspection strategy is executed; under the condition that the health assessment index does not exceed the corresponding health value within a day, if the elderly stay indoors for more than the preset value, the health level estimate is obtained based on the first health assessment index; if the elderly stay indoors for less than the preset value, the second health assessment index is used as a correction value to correct the first health assessment index and obtain the health level estimate;

[0064] The process of determining whether the elderly are indoors or outdoors is as follows:

[0065] The wristband or watch provided by the elderly is equipped with a GPS module, which obtains the elderly's location coordinates in real time and displays them in combination with the local map. If the elderly's real-time coordinates coincide with the building, it means that the elderly is indoors; if the elderly's real-time coordinates are outside the building, it means that the elderly is outdoors.

[0066] In addition, the strength of the received GPS signal can be analyzed to make a judgment. A weak signal usually means that it is indoors, and a strong signal means that it is outdoors. This solution has a certain error and can be used according to actual needs or combined with the current method.

[0067] The process of generating the first health assessment index is as follows:

[0068] Based on the dimensionless processed health information, which is all real-time data at the same time, the formula for generating the first health assessment index is as follows:

[0069] ;

[0070] In the formula, represents the first health assessment index, Respectively represent blood pressure value, blood sugar value, body temperature value and heart rate value, weight coefficient: , , , ,and ;

[0071] The process of generating the second health assessment index is as follows:

[0072] The collected environment-related data sets include ambient temperature, PM value, and the length of time the elderly stay outdoors. The health information and environment-related data sets are dimensionlessly processed, and the formula for generating the second health assessment index is as follows:

[0073] ;

[0074] ;

[0075] In formula (1), Represents the second health assessment index, with a preset proportional coefficient: ; In formula (2), Represents the comprehensive value of influencing factors, Respectively represent the ambient temperature, PM value and the length of time the elderly stay outdoors, weight coefficient: , , ,and ;

[0076] It should be noted that when the health assessment index at any moment exceeds the preset corresponding health value, the health value corresponding to the first health assessment index is the preset first health value, and the health value corresponding to the second health assessment index is the preset second health value, and the second health value is greater than the first health value. The health value is set in advance based on historical data, usually by recording the fluctuations of the corresponding health assessment indexes of N normal elderly people in different scenarios, and extracting the minimum value as the health value. When indoors, the minimum value is the first health value, and when outdoors, the minimum value is the second health value;

[0077] The content of the execution inspection strategy is:

[0078] When the elderly are outside, they are persuaded to go indoors for examination. When the elderly are indoors, they are examined directly. During the examination, medical personnel are notified to conduct a preliminary examination of the elderly. If there are any problems, they are immediately sent to the hospital for treatment. If there are no problems, the elderly are arranged to rest.

[0079] The estimated health level is calculated based on the following formula:

[0080] ;

[0081] In the formula, Indicates the length of time the elderly spend indoors in a day. Indicates the preset value, which is set according to the situation, and The preset range is 2~3, and 2 hours is usually used as the defining time point. Beyond this defining time point, based on historical experience, it can be concluded that the impact of the environment on the elderly will increase exponentially; t represents the corresponding moment, t=1, 2, …, L, L is a positive integer, and when L is n, n represents the estimated time that the elderly stay indoors in a day, if n=3.2, it is rounded to 3, thus obtaining the estimated time; when L is k, k represents the estimated time that the elderly stay outdoors in a day.

[0082] Specifically, it monitors the location and environment of the elderly in real time to provide more comprehensive health protection. The information or parameters in different scenarios are different, so as to ensure the validity of the calculated health assessment index. Based on the health assessment index in different scenarios, the estimated health level reflecting the health status of the elderly is comprehensively calculated to improve the accuracy of the assessment, and timely issue warnings and take measures to reduce the health risks of the elderly.

[0083] The health status assessment module generates a corresponding curve chart based on the daily estimated health status of the elderly. The X-axis represents the time point of each day, and the Y-axis represents the corresponding estimated health status of each day. When it is detected that the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the standard threshold, it means that the elderly has health risks, and an alarm prompt signal is issued to prompt the elderly to stay indoors and perform the established monitoring operations. The elderly are observed for N days from the current time point. If the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the standard threshold on at least one day in the N days, it means that the elderly has an abnormal condition and triggers a nursing adjustment instruction. Otherwise, it means that the elderly is normal and the system does not respond.

[0084] The calculation method of the difference between the estimated health level of the previous day and the estimated health level of the next day is: the difference is equal to the absolute value of the value obtained by subtracting the estimated health level of the next day from the estimated health level of the previous day; the standard threshold is set independently according to the actual situation, in order to facilitate the selection of the conditions under which the alarm prompt is issued, thereby giving the defined standard;

[0085] When observing the elderly for N days starting from the current time point, the value of N is usually 3 days. The purpose is to further determine whether the elderly have definite abnormalities. At this time, closer and regular care is required.

[0086] The nursing adjustment module, when receiving the nursing adjustment instruction, executes the regular accompanying strategy, adjusts the accompanying time of the accompanying personnel every day, and supervises the regular medication of the accompanying personnel until the elderly person is back to normal; the process of adjusting the accompanying time of the accompanying personnel every day is as follows:

[0087] Calculate the interval value obtained by the difference between the estimated health status of the previous day and the estimated health status of the next day exceeding the standard threshold, and take the average value of the interval value in N days, combined with the established accompanying time, to obtain the estimated value of the accompanying adjustment time. The corresponding accompanying personnel of the elderly will complete the subsequent daily accompanying of the elderly according to the estimated value of the accompanying adjustment time, and the calculation method of the estimated value of the accompanying adjustment time is as follows:

[0088] ;

[0089] In the formula, Indicates the estimated value of the nursing adjustment time. Indicates the established duration of care. Indicates the error correction factor, whose specific value can be adjusted and set by the user, or generated by analytical function fitting; The value range is 0~1. represents the difference between the estimated health status of the previous day and the estimated health status of the next day, i=1, 2, ..., N, Represents the standard threshold, which is set based on historical data. When the elderly person returns to normal, the daily accompanying time of the caregiver returns to the established time.

[0090] Specifically, by real-time monitoring of changes in the estimated health status of the elderly, timely discovering health risks and issuing warning signals, and continuing to observe on this basis, the accuracy of subsequent judgment results can be ensured, the accuracy and timeliness of health monitoring of the elderly can be improved, and health problems can be effectively prevented and dealt with. According to nursing adjustment instructions, regular accompanying strategies are implemented, the accompanying time of accompanying personnel is adjusted, and the regular use of medicines is supervised to ensure that the elderly receive timely and effective care and attention, provide more personalized and accurate nursing services for the elderly, and improve the quality and effectiveness of nursing.

[0091] Nursing supervision module: If the distance between the nursing staff and the corresponding elderly exceeds the set distance for more than V minutes without implementing the regular accompanying strategy, the first warning signal will be issued to remind the idle medical staff to take care of the elderly. If the distance between the nursing staff and the corresponding elderly exceeds the set distance for more than Vo minutes under the condition of implementing the regular accompanying strategy, the first warning signal will be issued;

[0092] Among them, the process of obtaining the distance between the caregiver and the corresponding elderly is:

[0093] The GPS module is installed on the caregiver and the elderly in advance, and then the distance value between the two coordinates is obtained in real time, and an early warning trigger instruction is set. The instruction is that the distance value exceeds the set distance, and an early warning signal is issued in this case;

[0094] The set distance is usually 3 meters, and the value of V minutes is usually 3 minutes. This duration is also the established duration. 3 minutes is the average time for medical staff to go to the toilet. It can be set according to actual conditions.

[0095] The process of setting Vo minutes is:

[0096] ;

[0097] In the formula, represents the correction coefficient, whose specific value can be adjusted by the user or generated by analytical function fitting, and The value range is 0~1. To ensure .

[0098] Specifically, under the condition of a given length of accompanying time, it means that the elderly person is doing well and the length of time the caregiver can be away can be relaxed. For the elderly in abnormal conditions, someone needs to accompany them at all times, but a certain amount of time can also be given to deal with emergencies of the caregiver to ensure that medical staff can make emergency adjustments. This reflects the humanized design of the system and ensures the effectiveness of nursing work in management.

[0099] Example 2: Please refer to Figure 2 Based on Example 1, this embodiment also provides an elderly care assessment method based on the Internet of Things, including the following specific steps:

[0100] S1. Obtain the health information of the elderly;

[0101] S2. Locate the location of the elderly through GPS and determine whether they are indoors or outdoors. If it is determined that they are indoors, extract and generate a first health assessment index based on the elderly's health information; if it is determined that they are outdoors, extract the elderly's health information and generate a second health assessment index in combination with the collected environment-related data set;

[0102] When the health assessment index at any moment exceeds the preset corresponding health value, an early warning is issued and an inspection strategy is executed; under the condition that the health assessment index does not exceed the corresponding health value within a day, if the elderly stay indoors for more than the preset value, the health level estimate is obtained based on the first health assessment index; if the elderly stay indoors for less than the preset value, the second health assessment index is used as a correction value to correct the first health assessment index and obtain the health level estimate;

[0103] S3. Generate a corresponding curve chart based on the estimated health status of the elderly every day. When it is detected that the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the preset standard threshold, perform the established monitoring operation, observe the elderly for N days starting from the current time point, and trigger the nursing adjustment instruction when the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the standard threshold on at least one day in the N days;

[0104] S4. When receiving nursing adjustment instructions, implement regular accompanying strategies, adjust the accompanying time of the accompanying personnel every day, and supervise the regular medication taking;

[0105] S5. Under the condition that the regular accompanying strategy is not implemented, if the distance between the caregiver and the corresponding elderly person exceeds the set distance for more than V minutes, the first warning signal will be issued to remind idle medical staff to take care of the elderly person; under the condition that the regular accompanying strategy is implemented, if the distance between the caregiver and the corresponding elderly person exceeds the set distance for more than Vo minutes, the first warning signal will be issued.

[0106] In the application, the several formulas involved are all calculated by removing the dimensions and taking their numerical values. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The formula is set by technical personnel in this field according to actual conditions.

[0107] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An elderly assessment and care system based on the Internet of Things, characterized in that: The system includes: Health information collection module, to obtain the health information of the elderly; health information includes blood pressure, blood sugar, body temperature and heart rate; The health data detection module locates the location of the elderly through GPS and determines whether they are indoors or outdoors. If they are determined to be indoors, the health information of the elderly is extracted and used to generate a first health assessment index; if they are determined to be outdoors, the health information of the elderly is extracted and combined with the collected environment-related data sets to generate a second health assessment index; The process of generating the first health assessment index is as follows: Based on the dimensionless health information, the formula for generating the first health assessment index is as follows: P 1，t =a1xy+a2xt+a3tu+a4lv; Where P 1，t represents the first health assessment index, xy, xt, tu, lv represent blood pressure, blood sugar, body temperature and heart rate respectively, weight coefficient: 0≤a1≤1, 0≤a2≤1, 0≤a3≤1, 0≤a4≤1; The process of generating the second health assessment index is as follows: The collected environment-related data sets include ambient temperature, PM value, and the length of time the elderly stay outdoors. The health information and environment-related data sets are dimensionlessly processed, and the formula for generating the second health assessment index is as follows: P 2，t =α*M+ρ*P 1，t (1); M = b1hw + b2pm + b3ts (2); In formula (1), P 2，t represents the second health assessment index, and the preset proportional coefficient is: ρ>α>0; in formula (2), M represents the comprehensive value of the influencing factors, hw, pm, and ts represent the ambient temperature, PM value, and the length of time the corresponding elderly stay outdoors, respectively, and the weight coefficient is: 0≤b1≤1, 0≤b2≤1, 0≤b3≤1; When the health assessment index at any moment exceeds the preset corresponding health value, an early warning is issued and an inspection strategy is executed; under the condition that the health assessment index does not exceed the corresponding health value within a day, if the elderly stay indoors for more than the preset value, the health level estimate is obtained based on the first health assessment index; if the elderly stay indoors for less than the preset value, the second health assessment index is used as a correction value to correct the first health assessment index and obtain the health level estimate; The health status assessment module generates a corresponding curve chart based on the daily estimated health status of the elderly. When it is detected that the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the preset standard threshold, the established monitoring operation is executed to observe the elderly for N days starting from the current time point. When the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the standard threshold on at least one day in the N days, the nursing adjustment instruction is triggered; The nursing adjustment module, when receiving nursing adjustment instructions, executes the regular accompanying strategy, adjusts the daily accompanying time of the accompanying personnel, and supervises the regular taking of medication.

2. According to claim 1, the elderly assessment and care system based on the Internet of Things is characterized by: The content of the execution inspection strategy is: When the elderly are outdoors, they will be persuaded to go indoors for examination. When the elderly are indoors, they will be examined directly. During the examination, medical staff will be notified to conduct a preliminary examination of the elderly. If there are any problems, they will be immediately sent to the hospital for treatment. If there are no problems, the elderly will be arranged to rest.

3. The IoT-based elderly assessment and care system according to claim 2 is characterized by: The estimated health level is calculated based on the following formula: Where Sc represents the time that the elderly stay indoors in a day, Sol represents the preset value, t represents the corresponding time, t = 1, 2, ..., L, L is a positive integer, and when L is n, n represents the estimated time that the elderly stay indoors in a day, when L is k, k represents the estimated time that the elderly stay outdoors in a day, Pjy represents the estimated value of health level, P 1，avg represents the average value of the first health assessment index within the estimated time n, P 2，avg Represents the average value of the second health assessment index within the estimated duration k.

4. The IoT-based elderly assessment and care system according to claim 3 is characterized by: The difference between the estimated health level on the previous day and the estimated health level on the next day is calculated as follows: the difference is equal to the absolute value of the value obtained by subtracting the estimated health level on the next day from the estimated health level on the previous day.

5. The IoT-based elderly assessment and care system according to claim 4 is characterized by: The process of adjusting the daily care hours of the caregiver is as follows: Calculate the interval value obtained by the difference between the estimated health status of the previous day and the estimated health status of the next day exceeding the standard threshold, and take the average value of the interval value in N days, combined with the established accompanying time, to obtain the estimated value of the accompanying adjustment time. The corresponding accompanying personnel of the elderly will complete the subsequent daily accompanying of the elderly according to the estimated value of the accompanying adjustment time, and the calculation method of the estimated value of the accompanying adjustment time is as follows: In the formula, Tyg represents the estimated value of the nursing adjustment time, Jd represents the established nursing time, G1 represents the error correction factor, and Xz i It represents the difference between the estimated health status of the previous day and the estimated health status of the next day, i=1, 2, ..., N, and By represents the standard threshold.

6. The IoT-based elderly assessment and care system according to claim 5 is characterized by: It also includes a nursing supervision module. If the distance between the nursing staff and the corresponding elderly exceeds the set distance for more than V minutes without implementing the regular accompanying strategy, a first warning signal is issued to remind idle medical staff to take care of the elderly. If the distance between the nursing staff and the corresponding elderly exceeds the set distance for more than Vo minutes under the condition of implementing the regular accompanying strategy, a first warning signal is issued. The method of setting Vo minutes is: Vo = V-G2Tyg; Where G2 represents the correction coefficient.

7. A method for assessing and caring for the elderly based on the Internet of Things, using any system described in claims 1 to 6, characterized in that: The steps include: S1. Obtain the health information of the elderly; the health information includes blood pressure, blood sugar, body temperature and heart rate; S2, locating the location of the elderly through GPS, and determining whether the elderly is indoors or outdoors. If the elderly is determined to be indoors, extracting and generating a first health assessment index based on the elderly's health information; If it is determined that the elderly person is outdoors, the elderly person's health information is extracted and combined with the collected environment-related data set to generate a second health assessment index; The process of generating the first health assessment index is as follows: Based on the dimensionless health information, the formula for generating the first health assessment index is as follows: P 1，t =a1xy+a2xt+a3tu+a4lv; Where P 1，t represents the first health assessment index, xy, xt, tu, lv represent blood pressure, blood sugar, body temperature and heart rate respectively, weight coefficient: 0≤a1≤1, 0≤a2≤1, 0≤a3≤1, 0≤a4≤1; The process of generating the second health assessment index is as follows: The collected environment-related data sets include ambient temperature, PM value, and the length of time the elderly stay outdoors. The health information and environment-related data sets are dimensionlessly processed, and the formula for generating the second health assessment index is as follows: P 2，t =α*M+ρ*P 1，t (1); M = b1hw + b2pm + b3ts (2); In formula (1), P 2，t represents the second health assessment index, and the preset proportional coefficient is: ρ>α>0; in formula (2), M represents the comprehensive value of the influencing factors, hw, pm, and ts represent the ambient temperature, PM value, and the length of time the corresponding elderly stay outdoors, respectively, and the weight coefficient is: 0≤b1≤1, 0≤b2≤1, 0≤b3≤1; When the health assessment index at any moment exceeds the preset corresponding health value, an early warning is issued and the inspection strategy is executed; under the condition that the health assessment index does not exceed the corresponding health value within a day, if the elderly stay indoors for more than the preset value, the health level estimate is obtained based on the first health assessment index; If the time the elderly person spends indoors does not exceed the preset value, the second health assessment index is used as a correction value to correct the first health assessment index and obtain an estimated health level; S3. Generate a corresponding curve chart based on the estimated health status of the elderly every day. When it is detected that the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the preset standard threshold, perform the established monitoring operation, observe the elderly for N days starting from the current time point, and trigger the nursing adjustment instruction when the difference between the estimated health status of the previous day and the estimated health status of the next day exceeds the standard threshold on at least one day in the N days; S4. When receiving nursing adjustment instructions, implement regular accompanying strategies, adjust the accompanying time of the accompanying personnel every day, and supervise the regular medication taking; S5. Under the condition that the regular accompanying strategy is not implemented, if the distance between the caregiver and the corresponding elderly person exceeds the set distance for more than V minutes, the first warning signal will be issued to remind idle medical staff to take care of the elderly person; under the condition that the regular accompanying strategy is implemented, if the distance between the caregiver and the corresponding elderly person exceeds the set distance for more than Vo minutes, the first warning signal will be issued.

Images