Human health assessment method and device based on following type living environment monitoring

Abstract

The invention discloses a human health assessment method and device based on following type living environment monitoring, and relates to the technical field of human health assessment, a following type living environment monitoring device is adopted to monitor the surrounding environment of a target human body, and body physiological indexes of the target human body are collected through a wearable device. Evaluation items of environmental parameters are added in human body health evaluation, the human body health evaluation analysis module can analyze and calculate an environmental portrait index based on the environmental parameters, and the environmental portrait index visually reflects the living environment of a target human body; the human body health assessment analysis module constructs a health assessment model based on the historical environment portrait index and the historical body physiological index, outputs a health assessment index result based on the health assessment model, and introduces a single environmental parameter standard exceeding item into a calculation formula of the health assessment index; and the condition that a health assessment result is distorted due to the fact that a single environment exceeds a standard seriously and the overall environment portrait index is at a relatively low level is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of human health assessment, and in particular to a human health assessment method and device based on follow-up living environment monitoring. Background Art

[0002] Human health assessment is a systematic process that aims to determine an individual's health status and potential health risks by collecting and analyzing health-related information about the individual. Its purpose is to diagnose disease or health conditions, evaluate disease progression or treatment effects, and predict future health risks.

[0003] At present, human health assessment methods are mainly divided into two directions. One is to monitor health status through questionnaires, health diaries or wearable devices2.

[0004] Second, medical professionals conduct health assessments through medical history collection, physical examinations, and auxiliary examinations.

[0005] Specifically, questionnaires are used to understand personal living habits, medical history and other information, and then health status is assessed.

[0006] Health status is assessed through physiological indicators such as height, weight, blood pressure, and heart rate.

[0007] Through testing of biological samples such as blood and urine, we can understand various biochemical indicators in the body and assess health status.

[0008] Use imaging techniques such as X-rays, CT, and MRI to observe the structure of organs in the body and assess health status.

[0009] Through wearable devices such as smart bracelets and watches, you can monitor heart rate, steps, sleep quality and other indicators in real time to assess your health status.

[0010] The problems with the above methods are as follows: questionnaire surveys are highly subjective, easily affected by personal memory and emotions, and have low accuracy;

[0011] Physical examinations can only reflect short-term health status and cannot fully assess the risk of chronic diseases;

[0012] Laboratory testing is expensive, takes a long time to test, and cannot monitor health status in real time;

[0013] Imaging examinations may cause radiation damage and are not suitable for frequent examinations;

[0014] The accuracy of data monitored by wearable devices is limited by device performance and cannot monitor all health indicators.

[0015] It does not reflect the impact of the living environment on human health, and is unable to correlate health status with the living environment and provide corresponding health improvement suggestions.

[0016] Therefore, it is urgent to design a human health assessment method for follow-up living environment monitoring to provide factually accurate assessment results for human health. Summary of the invention

[0017] In order to solve the above technical problems, the present invention provides a human health assessment method and device based on follow-up living environment monitoring. The following technical solutions are adopted:

[0018] The human health assessment method based on the follow-up living environment monitoring adopts the follow-up living environment monitoring device to monitor the surrounding environment of the target human body, collects the target human body's physiological indicators through the wearable device, and the human health assessment and analysis module obtains the environmental portrait index based on the surrounding environment parameter analysis, and performs human health assessment based on the environmental portrait index and the physiological indicators. The assessment method includes the following steps:

[0019] Step 1, communicating with the follow-up living environment monitoring device to obtain environmental parameters around the target human body;

[0020] Communicate with wearable devices to obtain physiological indicators of the target human body;

[0021] Step 2: The human health assessment and analysis module calculates and obtains the environmental image index based on environmental parameter analysis;

[0022] Step 3: The human health assessment analysis module builds a health assessment model based on the historical environmental portrait index and the historical body physiological indicators, inputs the current environmental portrait index and the body physiological indicators into the health assessment model, and the health assessment model outputs the health assessment index result;

[0023] Step 4: output the human health assessment result based on the position of the health assessment index result at the threshold of the health assessment index interval.

[0024] Optionally, environmental parameters include temperature, humidity, light, air quality, and noise;

[0025] Physiological indicators include heart rate, blood pressure, respiratory rate, and body temperature.

[0026] By adopting the above technical solution, the evaluation items of environmental parameters are added to the human health assessment, which is different from the traditional method of collecting environmental parameters. Specifically, a follow-up living environment monitoring device is used to monitor the surrounding environment of the target human body. More specifically, the surrounding environment of the target human body within a set range can be monitored, for example, within 5 meters. The collection of such environmental parameters is of great significance to human health assessment. The human health assessment and analysis module can calculate the environmental portrait index based on the environmental parameter analysis. The environmental portrait index directly reflects the living environment of the target human body, and is therefore closely related to the health status of the target human body. It is different from the traditional health assessment that only focuses on the physiological indicators of the target human body itself. The data of the physiological indicators of the target human body itself is very good, but when it is in a bad environment, its health assessment result is very good, but if no health status warning is given at this time, it is very likely that the health status of the human body will deteriorate under the influence of a poor environment.

[0027] Specifically, the human health assessment analysis module constructs a health assessment model based on the historical environmental portrait index and historical body physiological indicators, then outputs the health assessment index result based on the health assessment model, and outputs the human health assessment result based on the position of the health assessment index result at the threshold of the health assessment index interval, which can more accurately reflect the health status of the target person.

[0028] Optionally, the calculation formula of the environmental image index is:

[0029] EHI=f ( D ) ;

[0030] Where EHI is the environmental image index, f ( D ) is the weight distribution function of the environmental parameters;

[0031] f ( D ) =W1·T+W2·H+W3·L+W4·AQ+W5·N;

[0032] Among them, T, H, L, AQ, and N are the average temperature, humidity, light, air quality, and noise in hours, respectively; W1, W2, W3, W4, and W5 are the weight coefficients of each environmental parameter, respectively.

[0033] By adopting the above technical solution, the calculation method of the temperature average value with a time span of hours, the humidity average value, the light average value, the air quality average value and the noise average value can be obtained by dividing the sum of the corresponding parameter values ​​with a time span of hours by the total number of parameter values. The weight coefficient of each environmental parameter can be optimized and adjusted according to actual needs and environmental characteristics.

[0034] Optionally, the health assessment index is calculated as:

[0035] HIA=α·EHI+β·HR+γ·BP+δ·RF+ε·BT;

[0036] Among them, HIA is the health assessment index, EHI is the environmental portrait index, HR, BP, RF, and BT are the average heart rate, blood pressure, respiratory rate, and body temperature in hours, respectively, and α, β, δ, and ε are the weight coefficients of each indicator.

[0037] By adopting the above technical solution, the health assessment index is based on the environmental portrait index, the average heart rate, the average blood pressure, the average respiratory rate, and the average body temperature, and is obtained by adding the scores calculated based on the weight coefficient. The average heart rate, the average blood pressure, the average respiratory rate, and the average body temperature can be calculated by dividing the sum of the corresponding parameter values ​​with a time span of hours by the total number of parameter values. The environmental portrait index can be added to the health assessment system, which can more accurately reflect the health status of the human body.

[0038] Optionally, the calculation formula of the health assessment index introduces the single environmental parameter exceeding the standard, and the calculation formula of the health assessment index is:

[0039]

[0040] Among them, HIA is the health assessment index, EHI is the environmental portrait index, HR, BP, RF, and BT are the average heart rate, blood pressure, respiratory rate, and body temperature in hours, respectively, and σ is the sum of the multiples of the single environmental parameter exceeding the standard. is the number of environmental parameter exceeding the standard, and α, β, δ, and ε are the weight coefficients of each indicator.

[0041] By adopting the above technical solution, a single environmental parameter exceeding the standard is introduced into the calculation formula of the health assessment index, so as to avoid the situation where the health assessment result is distorted due to the serious exceeding of a single environmental parameter and the overall environmental portrait index being at a low level.

[0042] Optionally, the calculation method of the total number of times a single environmental parameter exceeds the standard is as follows: set a threshold for each environmental parameter, divide the current average temperature, average humidity, average light, average air quality and average noise with a time span of hours by the corresponding environmental parameter threshold, and the value less than 1 is recorded as 0, and the value greater than or equal to 1 is the total number of times a single environmental parameter exceeds the standard;

[0043] The method for calculating the number of environmental parameter exceeding the standard is as follows: compare the current average temperature, humidity, light, air quality and noise values ​​with a time span of hours with the corresponding environmental parameter thresholds, and add one to the number of environmental parameter exceeding the corresponding threshold.

[0044] By adopting the above technical solution, for example, the noise average threshold is set to 60 decibels. If the noise average value in the current hour is 78 decibels, the value of the sum of the multiples of exceeding the standard for the single environmental parameter σ is 78 divided by 60, and the value of σ increases by 1.3. It is the number of items that exceed the environmental parameter standard plus one.

[0045] Optionally, the human health assessment results include good health, sub-health, poor health and dangerous health.

[0046] Optionally, when it is judged that HIA ≥ 85, a human health assessment result of good health status is output;

[0047] When it is judged that 70≤HIA<85, the human health assessment result of sub-health condition is output;

[0048] When it is judged that 50≤HIA<70, the human health assessment result of poor health status is output;

[0049] When it is judged that HIA<50, the human health assessment result of dangerous health condition is output.

[0050] By adopting the above technical solution, real-time assessment of the health status of the target human body can be achieved.

[0051] A human health assessment device based on follow-up life environment monitoring, the human health assessment device includes a follow-up life environment monitoring device, a wearable device and a human health assessment and analysis module, the follow-up life environment monitoring device includes a wearable component, a shell, a temperature and humidity sensor, a light sensor, a noise sensor, a wireless communication module and a chip-based circuit board, the wearable component is worn on a target human body, the shell is installed on the wearable component, the temperature and humidity sensor, the light sensor, the noise sensor and the wireless communication module are respectively integrated and installed on the circuit board, the circuit board is installed in the shell, and a plurality of openings for monitoring environmental parameters are provided on the shell, the circuit board is respectively communicated with the wearable component, the shell, the temperature and humidity sensor, the light sensor, the noise sensor and the wireless communication module, the wearable device is worn on the wrist of the target human body to collect physiological indicators, the human health assessment and analysis module communicates wirelessly with the wireless communication module and the wearable intelligent device respectively, and exchanges environmental parameter data packets and physiological indicator data packets with a time span of hours respectively.

[0052] Optionally, the human health assessment and analysis module includes an assessment-end wireless transmission module, a data storage device, a data analysis chip and a display screen. The assessment-end wireless transmission module communicates wirelessly with the wireless communication module and the wearable smart device respectively, the data storage device is communicatively connected to the wireless transmission module, the data storage device stores a human health assessment program designed using a human health assessment method based on following living environment monitoring, the data analysis chip is communicatively connected to the data storage device, runs the human health assessment program, outputs the human health assessment results, and displays the human health assessment results through the display screen.

[0053] By adopting the above technical solution, the wireless communication between the evaluation end wireless transmission module and the wireless communication module and the wearable smart device can be realized based on 4G / 5G wireless communication technology. The human health assessment and analysis module can remotely analyze the environmental parameters and physiological indicators of multiple target human bodies based on the server computer and output the human health assessment results.

[0054] In summary, the present invention includes at least one of the following beneficial technical effects:

[0055] The present invention can provide a human health assessment method and device based on follow-up living environment monitoring, add environmental parameter assessment items to human health assessment, use a follow-up living environment monitoring device to monitor the surrounding environment of a target human body, and a human health assessment analysis module can calculate and obtain an environmental portrait index based on environmental parameter analysis. The environmental portrait index directly reflects the living environment of the target human body, and is therefore closely related to the health status of the target human body.

[0056] The human health assessment analysis module builds a health assessment model based on the historical environmental portrait index and historical physical physiological indicators, then outputs the health assessment index result based on the health assessment model, and outputs the human health assessment result based on the position of the health assessment index result at the threshold of the health assessment index interval, which can more accurately reflect the health status of the target person;

[0057] Introducing single environmental parameter exceeding the standard into the calculation formula of the health assessment index can avoid distortion of health assessment results due to serious exceeding of single environmental parameter and the overall environmental portrait index being at a low level. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flow chart of a human health assessment method based on follow-up living environment monitoring of the present invention;

[0059] Figure 2 It is a schematic diagram of the component connection principle of the human health assessment device based on follow-up living environment monitoring of the present invention.

[0060] Explanation of the accompanying drawings: 11. Wearable part; 12. Shell; 13. Temperature and humidity sensor; 14. Light sensor; 15. Noise sensor; 16. Wireless communication module; 17. Circuit board; 2. Wearable device; 3. Human health assessment and analysis module; 31. Assessment end wireless transmission module; 32. Data storage device; 33. Data analysis chip; 34. Display screen. DETAILED DESCRIPTION

[0061] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0062] The embodiments of the present invention disclose a method and a device for evaluating human health based on follow-up living environment monitoring.

[0063] Reference Figure 1 and Figure 2 Embodiment 1, a human health assessment method based on follow-up living environment monitoring, adopts a follow-up living environment monitoring device to monitor the surrounding environment of the target human body, collects the body physiological indicators of the target human body through the wearable device 2, and the human health assessment and analysis module 3 obtains the environment portrait index based on the surrounding environment parameter analysis, and performs human health assessment based on the environment portrait index and the body physiological indicators. The assessment method includes the following steps:

[0064] Step 1, communicating with the follow-up living environment monitoring device to obtain environmental parameters around the target human body;

[0065] Communicate with the wearable device 2 to obtain physiological indicators of the target human body;

[0066] Step 2, the human health assessment and analysis module 3 calculates and obtains the environmental portrait index based on environmental parameter analysis;

[0067] Step 3, human health assessment analysis module 3, builds a health assessment model based on historical environmental portrait index and historical body physiological indicators, inputs the current environmental portrait index and body physiological indicators into the health assessment model, and the health assessment model outputs the health assessment index result;

[0068] Step 4: output the human health assessment result based on the position of the health assessment index result at the threshold of the health assessment index interval.

[0069] In Example 2, the environmental parameters include temperature, humidity, light, air quality and noise;

[0070] Physiological indicators include heart rate, blood pressure, respiratory rate, and body temperature.

[0071] In the human health assessment, an assessment item of environmental parameters is added, which is different from the traditional method of collecting environmental parameters. Specifically, a follow-up living environment monitoring device is used to monitor the surrounding environment of the target human body. More specifically, the surrounding environment of the target human body within a set range can be monitored, for example, within 5 meters. The collection of such environmental parameters is of great significance to the human health assessment. The human health assessment and analysis module 3 can calculate the environmental portrait index based on the environmental parameter analysis. The environmental portrait index directly reflects the living environment of the target human body, and is therefore closely related to the health status of the target human body. It is different from the traditional health assessment that only focuses on the physiological indicators of the target human body itself. The data of the physiological indicators of the target human body itself is very good, but when it is in a bad environment, its health assessment result is very good, but if no health status warning is given at this time, it is very likely that the health status of the human body will deteriorate under the influence of a poor environment.

[0072] Specifically, the human health assessment analysis module 3 constructs a health assessment model based on the historical environmental portrait index and historical body physiological indicators, then outputs the health assessment index result based on the health assessment model, and outputs the human health assessment result based on the position of the health assessment index result at the threshold of the health assessment index interval, which can more accurately reflect the health status of the target human body.

[0073] In Example 3, the calculation formula of the environment image index is:

[0074] EHI=f ( D ) ;

[0075] Where EHI is the environmental image index, f ( D ) is the weight distribution function of the environmental parameters;

[0076] f ( D ) =W1·T+W2·H+W3·L+W4·AQ+W5·N;

[0077] Among them, T, H, L, AQ, and N are the average temperature, humidity, light, air quality, and noise in hours, respectively; W1, W2, W3, W4, and W5 are the weight coefficients of each environmental parameter, respectively.

[0078] The calculation method of the average temperature, humidity, light, air quality and noise with a time span of hours can be obtained by dividing the sum of the corresponding parameter values ​​with a time span of hours by the total number of parameter values. The weight coefficient of each environmental parameter can be optimized and adjusted according to actual needs and environmental characteristics.

[0079] Example 4, the calculation formula of the health assessment index is:

[0080] HIA=α·EHI+β·HR+γ·BP+δ·RF+ε·BT;

[0081] Among them, HIA is the health assessment index, EHI is the environmental portrait index, HR, BP, RF, and BT are the average heart rate, blood pressure, respiratory rate, and body temperature in hours, respectively, and α, β, δ, and ε are the weight coefficients of each indicator.

[0082] The health assessment index is based on the environmental portrait index, average heart rate, average blood pressure, average respiratory rate, and average body temperature, and is obtained by adding the scores calculated based on the weight coefficient. The average heart rate, average blood pressure, average respiratory rate, and average body temperature can be calculated by dividing the sum of the corresponding parameter values ​​with a time span of hours by the total number of parameter values. The environmental portrait index can be added to the health assessment system, which can more accurately reflect the health status of the human body.

[0083] Example 5, the calculation formula of the health assessment index introduces the single environmental parameter exceeding the standard, and the calculation formula of the health assessment index is:

[0084]

[0085] Among them, HIA is the health assessment index, EHI is the environmental portrait index, HR, BP, RF, and BT are the average heart rate, blood pressure, respiratory rate, and body temperature in hours, respectively, and σ is the sum of the multiples of the single environmental parameter exceeding the standard. is the number of environmental parameter exceeding the standard, and α, β, δ, and ε are the weight coefficients of each indicator.

[0086] Introducing single environmental parameter exceeding the standard into the calculation formula of the health assessment index can avoid distortion of health assessment results due to serious exceeding of single environmental parameter and the overall environmental portrait index being at a low level.

[0087] Example 6: The calculation method of the total number of times a single environmental parameter exceeds the standard is as follows: a threshold is set for each environmental parameter, and the current average temperature, average humidity, average light, average air quality, and average noise with a time span of hours are divided by the corresponding environmental parameter threshold, and a value less than 1 is recorded as 0, and a value greater than or equal to 1 is accumulated as the total number of times a single environmental parameter exceeds the standard;

[0088] The method for calculating the number of environmental parameter exceeding the standard is as follows: compare the current average temperature, humidity, light, air quality and noise values ​​with a time span of hours with the corresponding environmental parameter thresholds, and add one to the number of environmental parameter exceeding the corresponding threshold.

[0089] For example, if the noise average threshold is set to 60 decibels, if the noise average value for the current hour is 78 decibels, then the value of the sum of the multiples of the individual environmental parameters exceeding the standard, σ, is 78 divided by 60, and the value of σ increases by 1.3. It is the number of items that exceed the environmental parameter standard plus one.

[0090] Example 7, the human health assessment results include good health, sub-health, poor health and dangerous health.

[0091] When HIA is judged to be ≥85, the human health assessment result of good health status is output;

[0092] When it is judged that 70≤HIA<85, the human health assessment result of sub-health condition is output;

[0093] When it is judged that 50≤HIA<70, the human health assessment result of poor health status is output;

[0094] When it is judged that HIA<50, the human health assessment result of dangerous health condition is output.

[0095] Real-time assessment of the target human health status can be achieved.

[0096] Embodiment 8, a human health assessment device based on follow-up life environment monitoring, the human health assessment device includes a follow-up life environment monitoring device, a wearable device 2 and a human health assessment and analysis module 3, the follow-up life environment monitoring device includes a wearable component 11, a shell 12, a temperature and humidity sensor 13, a light sensor 14, a noise sensor 15, a wireless communication module 16 and a chip-based circuit board 17, the wearable component 11 is worn on the target human body, the shell 12 is installed on the wearable component 11, the temperature and humidity sensor 13, the light sensor 14, the noise sensor 15 and the wireless communication module 16 are respectively integrated and installed on the circuit board 17, the circuit board 17 is installed in the shell 12, and a plurality of openings for monitoring environmental parameters are provided on the shell 12, the circuit board 17 is respectively communicated with the wearable component 11, the shell 12, the temperature and humidity sensor 13, the light sensor 14, the noise sensor 15 and the wireless communication module 16, the wearable device 2 is worn on the wrist of the target human body to collect physiological indicators, the human health assessment and analysis module 3 communicates wirelessly with the wireless communication module 16 and the wearable intelligent device 2 respectively, and exchanges environmental parameter data packets and physiological indicator data packets with a time span of hours respectively.

[0097] The wearable device 2 may be a smart bracelet, which can realize intelligent collection of heart rate, blood pressure, respiratory rate, and body temperature, develop corresponding APP, or use the functions of the smart bracelet itself to realize automatic collection of heart rate, blood pressure, respiratory rate, and body temperature, and package and wirelessly send the collected data based on the set time;

[0098] The wearable device 11 can be a device that can be worn on the human body, such as a belt. The human health assessment device is mainly designed for a target human body that needs to pay special attention to the human health status, such as postoperative personnel under home observation. Therefore, the wearable device 11 is used as the installation point of the environmental parameter collection device, which will not cause excessive interference to the normal activities of the target human body.

[0099] Embodiment 9, the human health assessment and analysis module 3 includes an assessment end wireless transmission module 31, a data storage device 32, a data analysis chip 33 and a display screen 34. The assessment end wireless transmission module 31 wirelessly communicates with the wireless communication module 16 and the wearable intelligent device 2 respectively, the data storage device 32 is communicatively connected to the wireless transmission module 31, the data storage device 32 stores a human health assessment program designed using a human health assessment method based on follow-up living environment monitoring, the data analysis chip 33 is communicatively connected to the data storage device 32, runs the human health assessment program, outputs the human health assessment results, and displays the human health assessment results through the display screen 34.

[0100] The wireless communication between the evaluation end wireless transmission module 31 and the wireless communication module 16 and the wearable intelligent device 2 can be realized based on 4G / 5G wireless communication technology. The human health assessment and analysis module 3 can analyze the environmental parameters and physiological indicators of multiple target human bodies at a remote end based on a server computer and output the human health assessment results.

[0101] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A human health assessment method based on follow-up living environment monitoring, characterized in that: The surrounding environment of a target human body is monitored by a follow-up living environment monitoring device, and the body physiological indicators of the target human body are collected through a wearable device (2). The human health assessment and analysis module (3) obtains an environmental image index based on the surrounding environment parameter analysis, and performs a human health assessment based on the environmental image index and the body physiological indicators. The assessment method includes the following steps: Step 1, the human health assessment and analysis module (3) communicates with the follow-up living environment monitoring device to obtain environmental parameters around the target human body; and communicates with the wearable device (2) to obtain physiological indicators of the target human body; Step 2, the human health assessment and analysis module (3) calculates and obtains an environmental image index based on environmental parameter analysis; Step 3, the human health assessment analysis module (3) constructs a health assessment model based on the historical environmental image index and the historical body physiological index, inputs the current environmental image index and the body physiological index into the health assessment model, and the health assessment model outputs the health assessment index result. Step 4: output the human health assessment result based on the position of the health assessment index result at the threshold of the health assessment index interval.

2. The human health assessment method based on follow-up living environment monitoring according to claim 1 is characterized in that: Environmental parameters include temperature, humidity, light, air quality, and noise; Physiological indicators include heart rate, blood pressure, respiratory rate, and body temperature.

3. The human health assessment method based on follow-up living environment monitoring according to claim 2 is characterized in that: The calculation formula of the environmental portrait index is: EHI = f(D); Where EHI is the environmental profile index, f(D) is the weight distribution function of environmental parameters; f(D)=W1·T+W2·H+W3·L+W4·AQ+W5·N; Among them, T, H, L, AQ, and N are the average temperature, humidity, light, air quality, and noise in hours, respectively; W1, W2, W3, W4, and W5 are the weight coefficients of each environmental parameter, respectively.

4. The human health assessment method based on follow-up living environment monitoring according to claim 3 is characterized in that: The calculation formula of the health assessment index is: HIA=α·EHI+β·HR+γ·BP+δ·RF+ε·BT; Among them, HIA is the health assessment index, EHI is the environmental portrait index, HR, BP, RF, and BT are the average heart rate, blood pressure, respiratory rate, and body temperature in hours, respectively, and α, β, δ, and ε are the weight coefficients of each indicator.

5. The human health assessment method based on follow-up living environment monitoring according to claim 4 is characterized in that: The calculation formula of the health assessment index introduces the single environmental parameter exceeding the standard. The calculation formula of the health assessment index is: Among them, HIA is the health assessment index, EHI is the environmental portrait index, HR, BP, RF, and BT are the average heart rate, blood pressure, respiratory rate, and body temperature in hours, respectively, and σ is the sum of the multiples of the single environmental parameter exceeding the standard. is the number of environmental parameter exceeding the standard, and α, β, δ, and ε are the weight coefficients of each indicator.

6. The human health assessment method based on follow-up living environment monitoring according to claim 5 is characterized in that: The calculation method of the total number of times a single environmental parameter exceeds the standard is as follows: set a threshold for each environmental parameter, divide the current average temperature, humidity, light, air quality and noise with a time span of hours by the corresponding environmental parameter threshold, and record the value less than 1 as 0, and the value greater than or equal to 1 is the total number of times a single environmental parameter exceeds the standard; The method for calculating the number of environmental parameter exceeding the standard is as follows: compare the current average temperature, humidity, light, air quality and noise values ​​with a time span of hours with the corresponding environmental parameter thresholds, and add one to the number of environmental parameter exceeding the corresponding threshold.

7. The human health assessment method based on follow-up living environment monitoring according to claim 6 is characterized in that: The results of human health assessment include good health, sub-health, poor health and dangerous health.

8. The human health assessment method based on follow-up living environment monitoring according to claim 7 is characterized in that: When HIA is judged to be ≥85, the human health assessment result of good health status is output; When it is judged that 70≤HIA<85, the human health assessment result of sub-health condition is output; When it is judged that 50≤HIA<70, the human health assessment result of poor health status is output; When it is judged that HIA<50, the human health assessment result of dangerous health condition is output.

9. A human health assessment device based on follow-up living environment monitoring, characterized in that: The human health assessment device comprises a follow-up life environment monitoring device, a wearable device (2) and a human health assessment analysis module (3). The follow-up life environment monitoring device comprises a wearable component (11), a housing (12), a temperature and humidity sensor (13), a light sensor (14), a noise sensor (15), a wireless communication module (16) and a chip-based circuit board (17). The wearable component (11) is worn on a target human body, the housing (12) is mounted on the wearable component (11), and the temperature and humidity sensor (13), the light sensor (14), the noise sensor (15) and the wireless communication module (16) are respectively integrated and mounted on a circuit board (17). 17), the circuit board (17) is installed in the shell (12), and a plurality of openings for monitoring environmental parameters are provided on the shell (12). The circuit board (17) is respectively connected to the wearable component (11), the shell (12), the temperature and humidity sensor (13), the light sensor (14), the noise sensor (15) and the wireless communication module (16) for communication. The wearable device (2) is worn on the wrist of the target human body to collect physiological indicators. The human health assessment and analysis module (3) respectively communicates with the wireless communication module (16) and the wearable intelligent device (2) for wireless communication, and respectively exchanges environmental parameter data packets and physiological indicator data packets with a time span of hours.

10. The human health assessment device based on follow-up living environment monitoring according to claim 9 is characterized in that: The human health assessment and analysis module (3) comprises an assessment end wireless transmission module (31), a data storage device (32), a data analysis chip (33) and a display screen (34), wherein the assessment end wireless transmission module (31) wirelessly communicates with the wireless communication module (16) and the wearable intelligent device (2) respectively, the data storage device (32) is communicatively connected to the wireless transmission module (31), the data storage device (32) stores a human health assessment program designed using the human health assessment method based on follow-up living environment monitoring according to claim 8, the data analysis chip (33) is communicatively connected to the data storage device (32), runs the human health assessment program, outputs the human health assessment result, and displays the human health assessment result through the display screen (34).

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