Old-age nursing service system based on intelligent Internet of Things

Abstract

The invention relates to the technical field of old-age nursing, in particular to an old-age nursing service system based on an intelligent internet of things. Comprising a data acquisition unit, a nursing analysis unit and a nursing control unit, the system integrates multi-source data, comprehensively reflects life and environment conditions of the old people from multiple dimensions, provides rich information for nursing personnel and family members, facilitates rapid judgment of life states of the old people, converts complex information into visual values, facilitates targeted nursing intervention, adopts a double comparison mode, comprehensively and accurately monitors the life states and environment of the old people, and improves the nursing efficiency. Potential problems can be found in time, and the monitoring reliability and accuracy are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of elderly care, and particularly to an elderly care service system based on the intelligent Internet of Things. Background Art

[0002] The existing elderly care models have obvious deficiencies. The previous care methods mostly relied on manual inspections and simple records, making it difficult to comprehensively and in real-time grasp the living conditions and environmental conditions of the elderly. For example, regarding the daily exercise situation of the elderly, only a general idea could be obtained through simple inquiries, and accurate exercise data could not be obtained. While consuming a lot of manpower, the care problems of the elderly could not be solved in a timely manner; the sleep state could only be roughly judged by observing the bedtime and wake-up time, and key information such as sleep quality could not be deeply understood.

[0003] In terms of diet, manually recording the diet content is not only cumbersome but also prone to errors, making it difficult to accurately analyze the nutritional intake of the elderly. At the same time, the monitoring of the living environment is also extremely limited, and it is difficult to detect the potential impact of subtle changes in the environment on the health of the elderly.

[0004] Based on this, the present invention provides an elderly care service system based on the intelligent Internet of Things to solve the above-mentioned technical problems. Summary of the Invention

[0005] The purpose of the present invention is to provide an elderly care service system based on the intelligent Internet of Things. The present invention integrates multi-source data, comprehensively reflects the living and environmental conditions of the elderly from multiple dimensions, provides rich information for caregivers and family members, facilitates quickly judging the quality of the elderly's living state, converts complex information into intuitive numerical values, is conducive to targeted nursing interventions, adopts a dual comparison method, comprehensively and accurately monitors the living state and environment of the elderly, discovers potential problems in a timely manner, and greatly improves the reliability and accuracy of monitoring.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] The present invention provides an elderly care service system based on the intelligent Internet of Things, including a data acquisition unit, a nursing analysis unit, and a nursing control unit, where:

[0008] The data acquisition unit is used to obtain the living state information of the monitored person within the monitoring period, and obtain the living environment information of the monitored person;

[0009] The nursing analysis unit analyzes and obtains the corresponding sub-index information according to the obtained living state information and living environment information, analyzes and obtains the comprehensive index information based on the analyzed sub-index information, and analyzes and obtains the nursing monitoring result according to the sub-index information and the comprehensive index information. The nursing analysis unit is connected to the data acquisition unit through a wireless network;

[0010] The nursing control unit is used to obtain the comparison result information and display the obtained comparison result information. At the same time, when an abnormal mark appears, it issues a corresponding abnormal warning, and is also used for the management personnel to upload preset threshold information. The nursing control unit is connected to the nursing analysis unit.

[0011] The present invention is further configured as follows: The data acquisition unit includes a living state acquisition module, an environmental state acquisition module, and a first communication module, where:

[0012] The living state acquisition module is used to obtain the living state information of the monitored person within the monitoring period. Among them, the living state information includes exercise state information, sleep state information, and diet state information;

[0013] The environmental state acquisition module is used to obtain the living environment information of the monitored person within the monitoring period. Among them, the living environment information includes temperature information, humidity information, noise information, and air quality information;

[0014] The first communication module realizes information interaction between the data acquisition unit and the nursing analysis unit through a wireless network. The first communication module is connected to both the living state acquisition module and the environmental state acquisition module.

[0015] The present invention is further configured as follows: The nursing analysis unit includes a second communication module, a first index module, and a second index module, where:

[0016] The second communication module realizes information interaction between the nursing analysis unit and the data acquisition unit and the nursing control unit through a wireless network;

[0017] The first index module analyzes and obtains corresponding sub-index information according to the obtained living state information and living environment information. The first index module is connected to the second communication module;

[0018] The second index module analyzes and obtains comprehensive index information based on the analyzed sub-index information. The second index module is connected to the first index module.

[0019] The present invention is further configured as follows: The sub-index information includes living state sub-index information and living environment sub-index information, where:

[0020] The living state sub-index information includes an exercise index, a sleep index, and a diet index;

[0021] The living environment sub-index information includes a temperature index, a humidity index, a noise index, and a PM2.5 index.

[0022] The further setting of the present invention is that the calculation formula of the exercise index is wherein, E m is the actual exercise amount of the m-th exercise type, is the average exercise amount of all exercise types, l is the total number of exercise types, and χ m is the weight coefficient of the m-th exercise type;

[0023] The calculation formula of the sleep index is wherein, S n is the actual value of the n-th sleep index, μ n , σ m are respectively the mean value and the standard deviation of this sleep index, s is the total number of sleep indexes, and γ n is the weight of the n-th sleep index;

[0024] The calculation formula of the diet index is wherein, N p is the actual intake of the k-th nutrient, min(N k ), max(N k ) are respectively the minimum value and the maximum value of the intake of this nutrient, q is the number of types of nutrients, η k is the weight of the k-th nutrient, and ω k is an index for adjusting the influence degree of the nutrient intake.

[0025] The further setting of the present invention is that the calculation formula of the temperature index is wherein, D is the fractal dimension of the temperature within the monitoring period, and D0 is the fractal dimension corresponding to the suitable temperature range for the monitored person;

[0026] The calculation formula of the humidity index is wherein, I is the mutual information between the humidity data and the humidity range data suitable for the monitored person, H is the information entropy of the humidity data, and ξ is an extremely small positive number;

[0027] The calculation formula of the noise index is wherein, λ is the largest Lyapunov exponent of the noise data within the monitoring period, λ0 is the largest Lyapunov exponent in the noise environment suitable for the monitored person, and k is an adjustment parameter;

[0028] The calculation formula of the PM2.5 index is wherein, α, β, are all adjustment parameters, PM2.5 is the average concentration value of PM2.5 actually measured within the monitoring period, is the reference value of the average concentration of PM2.5 suitable for the monitored person, is the average concentration value of nitrogen dioxide actually measured within the monitoring period, NO₂ is the average concentration value of nitrogen dioxide actually measured during the monitoring period, and PM10 is the average concentration value of PM10 actually measured during the monitoring period.

[0029] The present invention is further configured as: the comprehensive index information includes a living status evaluation index and an environmental status evaluation index, where:

[0030] The calculation formula of the living status evaluation index is In the formula, for each dimension i, there are k i specific indicators, x ij is the data of the jth indicator under the ith dimension, α ij is the coefficient of this indicator, and β ij is an index used to adjust the degree of data influence;

[0031] The calculation formula of the environmental status evaluation index is In the formula, a r and b r are the value ranges of the rth environmental parameter, f(x) r is the actual distribution function of this environmental parameter, g r (x) is the weight function of the influence of this environmental parameter on health, and φ r is the comprehensive weight of the rth environmental parameter.

[0032] The present invention is further configured as: the nursing analysis unit further includes a database module and a comprehensive evaluation module, where:

[0033] The database module is used to store the collected living status information, living environment information, and the appropriate sub-index information thresholds and comprehensive index thresholds corresponding to the preset monitored personnel. The database module is connected to the second communication module;

[0034] The comprehensive evaluation module analyzes and determines the living status and living environment of the monitored personnel according to the sub-index information and the comprehensive index information, and obtains a nursing monitoring result. The comprehensive evaluation module is connected to the second communication module, the first index module, the second index module, and the database module.

[0035] The present invention is further configured as: the process of analyzing and determining the living status and living environment of the monitored personnel to obtain a nursing monitoring result is as follows:

[0036] Compare the obtained sub-index information with the corresponding appropriate sub-index information thresholds respectively to obtain a first comparison result;

[0037] Then compare the obtained comprehensive index information with the corresponding comprehensive index thresholds respectively to obtain a second comparison result;

[0038] Mark any abnormal results among the first comparison result and the second comparison result.

[0039] The present invention is further configured as follows: The nursing control unit includes a third communication module, an information display module, and an information setting module, where:

[0040] The third communication module realizes information interaction between the nursing control unit and the nursing analysis unit through a wireless network;

[0041] The information display module is used to display the obtained comparison result information. At the same time, when an abnormal mark appears, it issues a corresponding abnormal warning. The information display module is connected to the third communication module;

[0042] The information setting module is used for managers to upload preset threshold information. The information setting module is connected to both the third communication module and the information display module.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] The present invention integrates multi-source data such as movement, sleep, diet, and environment, comprehensively reflects the living state and environmental conditions of the elderly from multiple dimensions, can more comprehensively and accurately present the overall living conditions of the elderly, provides richer information for nursing staff and family members, facilitates their understanding of the elderly's conditions, and quickly judges the advantages and disadvantages of the elderly's living state. At the same time, it converts complex living and environmental information into intuitive numerical values, enabling an intuitive understanding of the elderly's performance in various aspects, so as to carry out targeted nursing interventions. In addition, through a dual comparison method, it realizes comprehensive and accurate monitoring of the elderly's living state and environment. The dual comparison mechanism can more timely and effectively discover potential problems and abnormal situations, greatly improving the reliability and accuracy of monitoring. Brief Description of the Drawings

[0045] Figure 1 It is a system diagram of a pension care service system based on the intelligent Internet of Things according to the present invention.

[0046] Figure 2 It is a system diagram of the data acquisition unit in a pension care service system based on the intelligent Internet of Things according to the present invention.

[0047] Figure 3 It is a system diagram of the nursing analysis unit in a pension care service system based on the intelligent Internet of Things according to the present invention.

[0048] Figure 4 It is a system diagram of the nursing control unit in a pension care service system based on the intelligent Internet of Things according to the present invention.

[0049] Explanation of the Reference Numerals in the Drawings:

[0050] 100. Data acquisition unit; 110. Living status acquisition module; 120. Environmental status acquisition module; 130. First communication module; 200. Nursing analysis unit; 210. Second communication module; 220. First index module; 230. Second index module; 240. Database module; 250. Comprehensive evaluation module; 300. Nursing control unit; 310. Third communication module; 320. Information display module; 330. Information setting module. Detailed implementation

[0051] Next, in combination with the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0052] Embodiment:

[0053] As Figures 1-4 shown, this embodiment provides an elderly care service system based on the intelligent Internet of Things, including a data acquisition unit 100, a nursing analysis unit 200, and a nursing control unit 300, wherein: the data acquisition unit 100 is used to obtain the living status information of the monitored person and the living environment information of the monitored person during the monitoring period; the nursing analysis unit 200 analyzes and obtains the corresponding sub-index information according to the obtained living status information and living environment information, and based on the analyzed sub-index information, analyzes and obtains the comprehensive index information, and according to the sub-index information and the comprehensive index information, analyzes and obtains the nursing monitoring result. The nursing analysis unit 200 is connected to the data acquisition unit 100 through a wireless network; the nursing control unit 300 is used to obtain the comparison result information and display the obtained comparison result information. At the same time, when an abnormal mark appears, it issues a corresponding abnormal warning, and is used for the management personnel to upload the preset threshold information. The nursing control unit 300 is connected to the nursing analysis unit 200.

[0054] In this embodiment, it should be noted that the data acquisition unit 100 collects the living state information and living environment information, and uploads the above information to the nursing analysis unit 200. The nursing analysis unit 200 analyzes and obtains the corresponding sub-index information according to the acquired living state information and living environment information, compares the obtained sub-index information with the corresponding appropriate sub-index information threshold, obtains the first comparison result, and uploads the first comparison result to the nursing control unit 300. If any sub-index in the first comparison result exceeds the corresponding appropriate sub-index information threshold, the nursing control unit 300 will issue a warning and display the abnormal index information. The nursing analysis unit 200 will also analyze and obtain the comprehensive index information based on the analyzed sub-index information, compare the obtained comprehensive index information with the corresponding comprehensive index information threshold, obtain the second comparison result, and also upload the second comparison result to the nursing control unit 300. If any comprehensive index information in the second comparison result exceeds the corresponding comprehensive index information threshold, the nursing control unit 300 will issue a warning and display the abnormal index information. This embodiment integrates multi-source data such as movement, sleep, diet, and environment, comprehensively reflects the living state and environmental conditions of the elderly from multiple dimensions, converts complex living and environmental information into intuitive numerical values, facilitates the nursing staff and family members to understand the conditions of the elderly, can quickly judge the advantages and disadvantages of the living state of the elderly, and provides a basis for formulating personalized nursing plans.

[0055] In the present invention, the data acquisition unit 100 includes a living state acquisition module 110, an environmental state acquisition module 120, and a first communication module 130, where: the living state acquisition module 110 is used to obtain the living state information of the monitored person during the monitoring period, where the living state information includes movement state information, sleep state information, and diet state information; the environmental state acquisition module 120 is used to obtain the living environment information of the monitored person during the monitoring period, where the living environment information includes temperature information, humidity information, noise information, and air quality information; the first communication module 130 realizes the information interaction between the data acquisition unit 100 and the nursing analysis unit 200 through a wireless network, and the first communication module 130 is connected to both the living state acquisition module 110 and the environmental state acquisition module 120.

[0056] In this embodiment, it should be noted that the collected living state information and living environment information are uploaded to the nursing analysis unit 200 through the first communication module 130 for subsequent analysis and processing by the nursing analysis unit 200.

[0057] As an example, wearable devices such as smart bracelets can be used to accurately collect multiple exercise data of the elderly, such as recording the number of steps, exercise duration, exercise intensity, heart rate changes, etc. during the monitoring period.

[0058] In addition, sleep monitoring devices can also be used to record the sleep status of the elderly in detail. The diet record APP can be used to enable the elderly or caregivers to conveniently record the daily diet details. In addition, intelligent tableware can also be used to automatically identify food ingredients.

[0059] At the same time, various sensors can be arranged in the living area of the elderly to monitor environmental parameters in real time, such as temperature sensors, humidity sensors, air quality sensors, and noise sensors, etc., or other devices to obtain the living environment information of the monitored person.

[0060] In the present invention, the care analysis unit 200 includes a second communication module 210, a first index module 220, and a second index module 230, where: the second communication module 210 realizes information interaction between the care analysis unit 200 and the data acquisition unit 100 and the care control unit 300 through a wireless network; the first index module 220 analyzes and obtains corresponding sub-index information according to the acquired living status information and living environment information, and the first index module 220 is connected to the second communication module 210; the second index module 230 analyzes and obtains comprehensive index information based on the analyzed sub-index information, and the second index module 230 is connected to the first index module 220.

[0061] Among them, the sub-index information includes living status sub-index information and living environment sub-index information, where:

[0062] The living status sub-index information includes a movement index, a sleep index, and a diet index.

[0063] The living environment sub-index information includes a temperature index, a humidity index, a noise index, and a PM2.5 index.

[0064] The calculation formula for the movement index is In the formula, E m is the actual exercise amount of the m-th exercise type, is the average exercise amount of all exercise types, l is the total number of exercise types, χ m is the weight coefficient of the m-th exercise type.

[0065] The calculation formula for the sleep index is In the formula, S n is the actual value of the n-th sleep index, μ n , σ m are the mean and standard deviation of this sleep index respectively, s is the total number of sleep indexes, γ n is the weight of the n-th sleep index.

[0066] The calculation formula for the diet index is In the formula, N p is the actual intake of the k-th nutrient, min(Nk )、max(N k ) are the minimum and maximum values of the nutrient intake respectively, q is the number of nutrient types, η k is the weight of the k-th nutrient, ω k is the index for adjusting the influence degree of nutrient intake.

[0067] The calculation formula for the temperature index is where D is the fractal dimension of the temperature within the monitoring period, and D0 is the fractal dimension corresponding to the suitable temperature range for the monitored person.

[0068] The calculation formula for the humidity index is where I is the mutual information between the humidity data and the humidity range data suitable for the monitored person, H is the information entropy of the humidity data, and ξ is an extremely small positive number.

[0069] The calculation formula for the noise index is where λ is the largest Lyapunov exponent of the noise data within the monitoring period, λ0 is the largest Lyapunov exponent in the noise environment suitable for the monitored person, and k is an adjustment parameter.

[0070] The calculation formula for the PM2.5 index is where α, β, are all adjustment parameters, PM2.5 is the average concentration value of PM2.5 actually measured within the monitoring period, is the reference value of the average PM2.5 concentration suitable for the monitored person, is the average concentration value of nitrogen dioxide actually measured within the monitoring period, is the average concentration value of nitrogen dioxide actually measured within the monitoring period, and PM10 is the average concentration value of PM10 actually measured within the monitoring period.

[0071] The comprehensive index information includes the living status assessment index and the environmental status assessment index, where:

[0072] The calculation formula for the living status assessment index is where for each dimension i, there are k i specific indicators, x ij is the data of the j-th indicator under the i-th dimension, α ij is the coefficient of this indicator, and β ij is the index for adjusting the influence degree of the data;

[0073] The calculation formula for the environmental status assessment index is where a r and b r are the value ranges of the r-th environmental parameter, and f(x) ris the actual distribution function of the environmental parameter, g r (x) is the weight function of the impact of the environmental parameter on health, φ r is the comprehensive weight of the r-th environmental parameter.

[0074] In this embodiment, it should be noted that the second communication module 210 set receives the information uploaded by the data acquisition unit 100, transmits the obtained information to the first index module 220, and calculates sub-index information through the first index module 220, that is, including the sub-index information of the living state and the sub-index information of the living environment, where: the sub-index information of the living state includes the exercise index, the sleep index, and the diet index, and the sub-index information of the living environment includes the temperature index, the humidity index, the noise index, and the PM2.5 index. Then, the second index module 230 obtains the comprehensive index information, fully considering the differences in the impacts of various factors on the health of the elderly, and can more scientifically and accurately evaluate the living state of the elderly, providing a strong basis for the formulation of personalized care plans.

[0075] In the present invention, the care analysis unit 200 further includes a database module 240 and a comprehensive evaluation module 250, where: the database module 240 is used to store the collected living state information, living environment information, and the appropriate sub-index information thresholds and comprehensive index thresholds corresponding to the preset monitored personnel. The database module 240 is connected to the second communication module 210; the comprehensive evaluation module 250 analyzes and determines the living state and living environment of the monitored personnel according to the sub-index information and the comprehensive index information to obtain a care monitoring result. The comprehensive evaluation module 250 is connected to the second communication module 210, the first index module 220, the second index module 230, and the database module 240.

[0076] The process of analyzing and determining the living state and living environment of the monitored personnel to obtain a care monitoring result is as follows:

[0077] Compare each obtained sub-index information with the corresponding appropriate sub-index information threshold to obtain a first comparison result.

[0078] Then compare the obtained comprehensive index information with the corresponding comprehensive index threshold to obtain a second comparison result.

[0079] Mark any abnormal results in the first comparison result and the second comparison result.

[0080] In this embodiment, it should be noted that the comprehensive evaluation module 250 receives the information from the first index module 220 and the second index module 230, and retrieves the appropriate sub-index information threshold and the comprehensive index threshold from the database module 240. First, the obtained sub-index information is respectively compared with the corresponding appropriate sub-index information thresholds to obtain the first comparison result. Then, the obtained comprehensive index information is respectively compared with the corresponding comprehensive index thresholds to obtain the second comparison result. Furthermore, a dual comparison method is adopted to realize the dual comparison of the sub-index and the comprehensive index, making the monitoring more comprehensive and accurate, and the comparison information is fed back to the nursing control unit 300 through the second communication module 210.

[0081] In the present invention, the nursing control unit 300 includes a third communication module 310, an information display module 320, and an information setting module 330, where: the third communication module 310 realizes the information interaction between the nursing control unit 300 and the nursing analysis unit 200 through a wireless network; the information display module 320 is used to display the obtained comparison result information, and at the same time, when an abnormal mark appears, it issues a corresponding abnormal warning. The information display module 320 is connected to the third communication module 310; the information setting module 330 is used for the management personnel to upload the preset threshold information. The information setting module 330 is connected to both the third communication module 310 and the information display module 320.

[0082] In this embodiment, it should be noted that the management personnel can upload the required preset information through the information setting module 330, upload it to the nursing analysis unit 200 through the third communication module 310, and store it in the nursing analysis unit 200. Through the third communication module 310, the comparison feedback information from the nursing analysis unit 200 can also be received and displayed and warned through the information display module 320.

[0083] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0084] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An elderly care service system based on intelligent Internet of Things, characterized in that: The system comprises a data collection unit (100), a nursing analysis unit (200) and a nursing control unit (300), wherein: The data collection unit (100) is used to obtain the living status information of the monitored person and the living environment information of the monitored person during the monitoring period; The nursing analysis unit (200) analyzes and obtains corresponding sub-index information based on the acquired living status information and living environment information, and analyzes and obtains comprehensive index information based on the analyzed sub-index information, and analyzes and obtains nursing monitoring results based on the sub-index information and the comprehensive index information, and the nursing analysis unit (200) is connected to the data acquisition unit (100) via a wireless network; The nursing control unit (300) is used to obtain comparison result information and display the obtained comparison result information. At the same time, when an abnormal mark appears, a corresponding abnormal warning is issued, and the management personnel upload preset threshold information. The nursing control unit (300) is connected to the nursing analysis unit (200).

2. According to claim 1, a nursing care service system based on intelligent Internet of Things is characterized in that: The data collection unit (100) comprises a life status collection module (110), an environment status collection module (120) and a first communication module (130), wherein: The life status acquisition module (110) is used to obtain life status information of the monitored person during the monitoring period, wherein the life status information includes exercise status information, sleep status information and diet status information; The environmental state acquisition module (120) is used to obtain the living environment information of the monitored person during the monitoring period, wherein the living environment information includes temperature information, humidity information, noise information and air quality information; The first communication module (130) realizes information interaction between the data acquisition unit (100) and the nursing analysis unit (200) via a wireless network, and the first communication module (130) is connected to both the life status acquisition module (110) and the environment status acquisition module (120).

3. The elderly care service system based on intelligent Internet of Things according to claim 1 is characterized in that: The nursing analysis unit (200) comprises a second communication module (210), a first index module (220) and a second index module (230), wherein: The second communication module (210) realizes information interaction between the nursing analysis unit (200), the data acquisition unit (100) and the nursing control unit (300) through a wireless network; The first index module (220) analyzes and obtains corresponding sub-index information based on the acquired living status information and living environment information, and the first index module (220) is connected to the second communication module (210); The second index module (230) analyzes and obtains comprehensive index information based on the analyzed sub-index information. The second index module (230) and the first index module (220) are connected.

4. The elderly care service system based on intelligent Internet of Things according to claim 1 is characterized in that: The sub-index information includes living status sub-index information and living environment sub-index information, wherein: The life status sub-index information includes exercise index, sleep index and diet index; The living environment sub-index information includes temperature index, humidity index, noise index and PM2.5 index.

5. The elderly care service system based on intelligent Internet of Things according to claim 4 is characterized in that: The calculation formula of the motion index is: In the formula, E m is the actual amount of exercise for the mth exercise type, is the average amount of exercise of all exercise types, l is the total number of exercise types, χ m is the weight coefficient of the mth motion type; The calculation formula of the sleep index is: In the formula, S n is the actual value of the nth sleep indicator, μ n , σ m are the mean and standard deviation of the sleep index, s is the total number of sleep indicators, γ n is the weight of the nth sleep indicator; The calculation formula of the dietary index is: Where N p is the actual intake of the kth nutrient, min(N k )、max(N k ) are the minimum and maximum values ​​of the nutrient intake, q is the number of nutrient types, η k is the weight of the kth nutrient, ω k It is an index to adjust the impact of nutrient intake.

6. The elderly care service system based on intelligent Internet of Things according to claim 4 is characterized in that: The calculation formula of the temperature index is: In the formula, D is the fractal dimension of the temperature during the monitoring period, and D0 is the fractal dimension corresponding to the temperature range suitable for the monitored person; The calculation formula of the humidity index is: Where I is the mutual information between humidity data and humidity range data suitable for monitored persons, H is the information entropy of humidity data, and ξ is a very small positive number; The calculation formula of the noise index is: Where, λ is the maximum Lyapunov exponent of noise data during the monitoring period, λ0 is the maximum Lyapunov exponent in the noise environment suitable for the monitored person, and k is the adjustment parameter; The calculation formula of the PM2.5 index is: In the formula, α, β, All are adjustment parameters. PM2.5 is the average concentration of PM2.5 actually measured during the monitoring period. is the reference value of the average PM2.5 concentration suitable for the monitored persons. is the average concentration of nitrogen dioxide actually measured during the monitoring period, is the average concentration of nitrogen dioxide actually measured during the monitoring period, and PM10 is the average concentration of PM10 actually measured during the monitoring period.

7. The elderly care service system based on intelligent Internet of Things according to claim 4 is characterized in that: The comprehensive index information includes a living status assessment index and an environmental status assessment index, wherein: The calculation formula of the living status assessment index is: In the formula, for each dimension i, there are k i A specific indicator, x ij is the data of the jth indicator under the i-th dimension, α ij is the coefficient of this indicator, β ij It is an index used to adjust the impact of data; The calculation formula of the environmental status assessment index is: In the formula, a r and b r is the value range of the rth environmental parameter, f(x) r is the actual distribution function of the environmental parameter, g r (x) is the weight function of the environmental parameter’s impact on health, φ r is the comprehensive weight of the rth environmental parameter.

8. The elderly care service system based on intelligent Internet of Things according to claim 3 is characterized in that: The nursing analysis unit (200) further comprises a database module (240) and a comprehensive evaluation module (250), wherein: The database module (240) is used to store the collected living status information, living environment information and preset appropriate sub-index information thresholds and comprehensive index thresholds corresponding to the monitored person, and the database module (240) is connected to the second communication module (210); The comprehensive evaluation module (250) analyzes and determines the living conditions and living environment of the monitored person based on the sub-index information and the comprehensive index information to obtain nursing monitoring results. The comprehensive evaluation module (250) is connected to the second communication module (210), the first index module (220), the second index module (230) and the database module (240).

9. The elderly care service system based on intelligent Internet of Things according to claim 8 is characterized in that: The process of analyzing and determining the living conditions and living environment of the monitored person to obtain the nursing monitoring results is as follows: Compare each of the obtained sub-index information with the corresponding appropriate sub-index information threshold to obtain a first comparison result; Then, the obtained comprehensive index information is compared with the corresponding comprehensive index threshold value to obtain a second comparison result; Any abnormal result in the first comparison result and the second comparison result is marked.

10. The elderly care service system based on intelligent Internet of Things according to claim 1 is characterized in that: The nursing control unit (300) comprises a third communication module (310), an information display module (320) and an information setting module (330), wherein: The third communication module (310) realizes information interaction between the nursing control unit (300) and the nursing analysis unit (200) via a wireless network; The information display module (320) is used to display the obtained comparison result information and, when an abnormal mark appears, issue a corresponding abnormal warning. The information display module (320) is connected to the third communication module (310); The information setting module (330) is used by the management personnel to upload preset threshold information, and the information setting module (330) is connected to both the third communication module (310) and the information display module (320).

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