Human health risk assessment and management system by noise

Abstract

The invention discloses a system for assessing and managing human health risks by noise, relates to the technical field of health information communication, and aims to solve the problem that current noise monitoring means are mostly used for assessing and early warning from a single dimension, only considers instant influence of the noise on a human body, does not assess long-term influence of the noise on the human body, and is poor in reliability. The system for assessing and managing the human body health risk by the noise comprises an information acquisition unit for acquiring noise information and human information, an information processing unit and a health risk assessment and management unit, the information processing unit comprises an information storage module, a communication module, an information processing module and an information calculation module, the influence of noise on human health is considered through multiple dimensions, the influence is not limited to a single dimension any more, the defect that only instant influence is considered is overcome, and the long-term risk of noise on human health is evaluated more accurately.

Description

Technical Field

[0001] The present invention relates to the field of health information communication technology, and more particularly to a noise risk assessment and management system for human health. Background Art

[0002] Noise is a pollutant of the environment, which is harmful and unpredictable, and seriously threatens people's physical and mental health. Studies have shown that environmental noise pollution has become the third largest public hazard in the world, second only to air pollution and water pollution, and is one of the main sources of environmental pollution in modern cities. Noise pollution can affect people's psychological and physical health, mainly manifested as: causing insomnia, neurasthenia, accelerated aging, etc., and at the same time has adverse effects on the cardiovascular system, causing increased blood pressure, faster heart rate, vasoconstriction, heart rhythm disorders, and inducing coronary heart disease, myocardial infarction and cerebral hemorrhage.

[0003] However, the existing noise monitoring methods can only monitor the noise situation or make noise maps to provide relevant guidance to users. No noise is evaluated, and the evaluation and warning are carried out from a single dimension. The gradual accumulation of damage caused by noise to the body is not considered. Only the immediate impact of noise on the human body is considered, and the long-term impact of noise on the human body and the health risks caused by the gradual accumulation of such impacts over time are not evaluated. In view of this, we propose a noise risk assessment and management system for human health. Summary of the invention

[0004] The purpose of the present invention is to provide a noise risk assessment and management system for human health, so as to solve the technical problem that the current means of monitoring noise are mostly to evaluate and warn from a single dimension, only considering the immediate impact of noise on the human body, but not evaluating the long-term impact of noise on the human body, and the health risks gradually accumulated over time.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a noise-to-human health risk assessment and management system, comprising an information collection unit for acquiring noise information and human information, an information processing unit, and a health risk assessment management unit; The information processing unit is connected to the information acquisition unit and is used to process and analyze the information acquired by the information acquisition unit; The health risk assessment management unit is connected to the information processing unit and sends a warning signal to the user by calculating the health risk level value; Wherein, the information processing unit includes an information storage module, a communication module, an information processing module and an information calculation module: Wherein, the information storage module is used to temporarily store noise information and human information, and upload the two information to the communication module; The communication module is connected to the information storage module and is used to upload the received information to the information processing module; The information processing module is connected to the communication module, and obtains the noise exposure value, the hypertension risk level value and the sudden death risk level value according to the noise information and human information transmitted by the information storage module; The information calculation module is connected to the information processing module, and calculates the health risk level value according to the noise exposure value, hypertension risk level value and sudden death risk level value obtained by the information processing module.

[0006] The present invention considers the impact of noise on human health from multiple dimensions, no longer limited to a single dimension, and comprehensively considers noise value, noise duration, noise frequency and demographic characteristics, chronic disease history, exposure duration, and individual reactions, avoiding the shortcomings of only considering immediate impacts. It not only considers the current situation of the noise, but also combines the user's own situation, so that the evaluation results are more in line with the actual situation, so as to more accurately evaluate the long-term risks of noise to human health.

[0007] Preferably, the information collection unit includes an information monitoring device and a user information platform, the information monitoring device is connected to the user information platform, and the information monitoring device and the user information platform are both connected to the information storage module, and the collected noise information and human information are uploaded to the information storage module in real time.

[0008] Preferably, the information monitoring device includes a noise sensor and a computer, a noise analysis information program runs on the computer, the signal value processed by the noise analysis information program is sent to the information storage module through the computer, and the noise sensor is connected to the noise analysis information program to upload the detected noise value to the noise analysis information program in real time.

[0009] Preferably, the user information platform includes a user platform for users to upload their own demographic characteristics and chronic disease history and a cloud service unit, the cloud service unit is connected to the information storage module and is used to send the demographic characteristics and chronic disease history to the cloud service unit, and the cloud service unit is connected to the information storage module and is used to send information to the information storage module.

[0010] Preferably, the noise exposure value The calculation formula is: ; In the formula, is the noise value, is the noise duration, is the frequency of noise in a day, is the frequency of noise in a week, is the common logarithm to base 10.

[0011] Preferably, the hypertension risk level value is calculated as follows: Basic risk of hypertension The calculation formula is , where Indicates the noise value Basic value of hypertension risk The influence coefficient of is the noise duration The influence coefficient of The frequency of noise in a day The influence coefficient of is the frequency of noise in a week The influence coefficient of It's age The influence coefficient of Indicated by whether there is a history of chronic disease The influence coefficient of Hypertension risk level Low risk of hypertension , high blood pressure disease risk High risk of hypertension , risk level of hypertension The calculation formula is , where is the lower threshold of the risk level of hypertension. It is the upper limit threshold of the risk level of hypertension.

[0012] Preferably, the sudden death risk level value is calculated as follows: Sudden death risk baseline The calculation formula is , where Indicates the noise value Basic value of sudden death risk The influence coefficient of is the noise duration Basic value of sudden death risk The influence coefficient of The frequency of noise in a day Basic value of sudden death risk The influence coefficient of is the frequency of noise in a week Basic value of sudden death risk The influence coefficient of Indicate age Basic value of sudden death risk The influence coefficient of Indicated by history of cardiovascular disease The influence coefficient is a binary variable, with 0 representing no and 1 representing yes. This coefficient reflects the basic value of the risk of sudden death caused by the presence or absence of cardiovascular disease history. the extent of the impact; Sudden death risk level Including low risk of sudden death , medium risk of sudden death and high risk of sudden death , sudden death risk level value The calculation formula is , where is the lower limit threshold of the risk level of sudden death, It is the upper limit threshold of sudden death risk level.

[0013] Preferably, the health risk level value is calculated as follows: Health risk basic value The calculation formula is , where Noise exposure value The weight coefficient of The basic value of hypertension risk , is the risk level of hypertension The weight coefficient of The basic value of sudden death risk The weight coefficient of Sudden death risk level The weight coefficient of ; Health risk level value Includes low health risks , medium health risk and high health risks , health risk level The calculation formula is , where is the lower threshold of health risk level, It is the upper limit threshold of health risk level.

[0014] A method for assessing and managing noise risks to human health, comprising the following steps: S1. Acquire noise information and human information using an information acquisition unit; S2. Processing and analyzing the acquired information using an information processing unit to obtain noise exposure values, hypertension risk, and sudden death risk; S3. Utilize the health risk assessment management unit to calculate the health risk level value and send a warning signal to the user.

[0015] Preferably, the specific method of obtaining the noise information and the human information is: S101, using a noise sensor to monitor the noise value in real time, and the noise sensor sends the monitored noise value to a noise analysis information program; S102, using the cloud service unit to store the user's demographic characteristics, chronic disease history, and historical information; S103. Use the user platform to allow patients to actively input their chronic disease history, exposure duration, and individual reactions, and then transmit their demographic characteristics and chronic disease history to the cloud service unit.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention considers the impact of noise on human health from multiple dimensions, no longer limited to a single dimension, and comprehensively considers noise value, noise duration, noise frequency and demographic characteristics, chronic disease history, exposure duration, and individual reactions, avoiding the shortcomings of only considering immediate impacts. It not only considers the current situation of noise, but also combines the user's own situation, so that the evaluation results are more in line with the actual situation, so as to more accurately evaluate the long-term risks of noise to human health.

[0017] 2. The present invention also obtains noise exposure values, hypertension risk and sudden death risk, and calculates health risk level values ​​through information collection, processing and analysis. It can monitor the impact of noise on human physiology from the perspective of noise biological effects, and monitor the health risk level values ​​of the population, providing a basis for managers to manage health based on personal health information. It can also promptly discover the health risk level values ​​of the population and issue early warning signals, which can effectively help individuals and managers manage their own health and control noise pollution.

[0018] 3. The present invention also adopts a system architecture consisting of an information collection unit, an information processing unit and a health risk assessment management unit. The information collection unit comprehensively obtains the required information through information monitoring equipment and a user information platform. The information processing unit stores, transmits, processes and calculates the information. The health risk assessment management unit issues a warning signal according to the calculation results. This architecture ensures the continuity and efficiency from information collection to risk assessment and warning, solves the problem that existing monitoring methods lack systematic evaluation and warning functions, and can promptly prompt possible health risks and help users take corresponding measures.

[0019] 4. The present invention fully considers individual differences in the evaluation process, and takes demographic characteristics, chronic disease history, individual reactions, etc. into consideration. Different users face different health risks even in the same noise environment due to differences in age, medical history, etc. By performing differentiated calculations based on whether or not they have a history of chronic disease or cardiovascular disease, the evaluation results are more in line with the actual health status of each user, thereby improving the accuracy and practicality of risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic block diagram of the system of the present invention. DETAILED DESCRIPTION

[0021] Embodiment 1: Figure 1 As shown, the present invention relates to a noise risk assessment and management system for human health, including an information collection unit for acquiring noise information and human information, an information processing unit, and a health risk assessment management unit; The information processing unit is connected to the information collection unit, and is used to process and analyze the information obtained by the information collection unit to obtain noise exposure values, hypertension risk and sudden death risk. The health risk assessment management unit is connected to the information processing unit, and sends a warning signal to the user by calculating the health risk level value. The noise exposure value, hypertension risk and sudden death risk are obtained through information collection, processing and analysis, and the health risk level value is calculated. It can monitor the impact of noise on human physiology from the perspective of noise biological effects, and monitor the health risk level value of the crowd, providing a basis for managers to do health management based on personal health information, and can also timely discover the health risk level value of the crowd and send a warning signal, which can effectively help individuals and managers effectively manage their own health and control noise pollution; The information processing unit includes an information storage module, a communication module, an information processing module and an information calculation module. The information storage module is used to temporarily store noise information and human information, and upload the two information to the communication module. The communication module is connected to the information storage module and is used to upload the received information to the information processing module. The information processing module is connected to the communication module, and obtains noise exposure value, hypertension risk level value and sudden death risk level value according to the noise information and human information transmitted by the information storage module. The information calculation module is connected to the information processing module, and calculates the health risk level value according to the noise exposure value, hypertension risk level value and sudden death risk level value obtained by the information processing module. The impact of noise on human health is considered through multiple dimensions, no longer limited to a single dimension, and the noise value, noise duration, noise frequency and demographic characteristics, chronic disease history, exposure time, and individual reaction are comprehensively considered to avoid the shortcomings of only considering immediate impacts. Not only the current situation of the noise is considered, but also the user's own situation is combined, so that the evaluation result is more in line with the actual situation, so as to more accurately evaluate the long-term risks of noise to human health.

[0022] In an embodiment of the present invention, the information collection unit includes an information monitoring device and a user information platform, the information monitoring device is connected to the user information platform, and the information monitoring device and the user information platform are both connected to the information storage module, and the collected noise information and human information are uploaded to the information storage module in real time.

[0023] In an embodiment of the present invention, the information monitoring device includes a noise sensor and a computer, a noise analysis information program runs on the computer, the signal value processed by the noise analysis information program is sent to the information storage module through the computer, and the noise sensor is connected to the noise analysis information program to upload the detected noise value to the noise analysis information program in real time.

[0024] In an embodiment of the present invention, the user information platform includes a user platform for users to upload their own demographic characteristics and chronic disease history and a cloud service unit. The cloud service unit is connected to the information storage module and is used to send the demographic characteristics and chronic disease history to the cloud service unit. The cloud service unit is connected to the information storage module and is used to send information to the information storage module.

[0025] Embodiment 2: Figure 1 As shown, as another embodiment of the present invention, a method for assessing and managing noise risks to human health includes the following steps: S1. Acquire noise information and human information using an information acquisition unit; S2. Processing and analyzing the acquired information using an information processing unit to obtain noise exposure values, hypertension risk, and sudden death risk; S3. Utilize the health risk assessment management unit to calculate the health risk level value and send a warning signal to the user.

[0026] As another embodiment of the present invention, the specific method of obtaining the noise information and the human information is: S101, using a noise sensor to monitor the noise value in real time, and the noise sensor sends the monitored noise value to a noise analysis information program; S102, using the cloud service unit to store the user's demographic characteristics, chronic disease history, and historical information; S103. Use the user platform to allow patients to actively input their chronic disease history, exposure duration, and individual reactions, and then transmit their demographic characteristics and chronic disease history to the cloud service unit.

[0027] As another embodiment of the present invention, the information processing unit processes and analyzes the acquired information to obtain the noise exposure value, the risk of hypertension and the risk of sudden death in a specific manner as follows: S201, obtain noise value, noise duration, noise frequency, demographic characteristics, chronic disease history, exposure duration and individual response; S202, Noise Exposure Value The calculation formula is: ; In the formula, is the noise value, is the noise duration, is the frequency of noise in a day, is the frequency of noise in a week, is the common logarithm with base 10; S203, risk level of hypertension; S203a, basic value of risk of hypertension The calculation formula is: ; In the formula, Indicates the noise value Basic value of hypertension risk The influence coefficient means the degree of influence on the basic value of hypertension risk for each unit change in noise value. is the noise duration The influence coefficient of noise duration changes the basic value of hypertension risk. The frequency of noise in a day The influence coefficient reflects the weight of the noise frequency change within a day in calculating the basic value of hypertension risk. is the frequency of noise in a week The influence coefficient reflects the influence weight of the noise frequency within a week on the basic value of hypertension risk. It's age The influence coefficient is the degree of change in the basic value of hypertension risk for each unit change in age. Indicated by whether there is a history of chronic disease The influence coefficient is a binary variable, with 0 representing no history and 1 representing yes history. This coefficient reflects the degree of influence of the presence or absence of a chronic disease history on the basic value of the risk of hypertension. S203b, Hypertension risk level value Low risk of hypertension , high blood pressure disease risk High risk of hypertension , risk level of hypertension The calculation formula is: ; In the formula, is the lower threshold of the risk level of hypertension. The upper threshold of the risk level of hypertension; S204, sudden death risk level value; S204a, basic value of sudden death risk The calculation formula is: ; In the formula, Indicates the noise value Basic value of sudden death risk The influence coefficient of is the noise duration Basic value of sudden death risk The influence coefficient of The frequency of noise in a day Basic value of sudden death risk The influence coefficient of is the frequency of noise in a week Basic value of sudden death risk The influence coefficient of Indicate age Basic value of sudden death risk The influence coefficient of Indicated by history of cardiovascular disease The influence coefficient is a binary variable, with 0 representing no and 1 representing yes. This coefficient reflects the basic value of the risk of sudden death caused by the presence or absence of cardiovascular disease history. the extent of the impact; S204b, sudden death risk level value Including low risk of sudden death , medium risk of sudden death and high risk of sudden death , sudden death risk level value The calculation formula is: ; In the formula, is the lower limit threshold of the risk level of sudden death, It is the upper limit threshold of sudden death risk level.

[0028] As another embodiment of the present invention, the specific method of issuing a warning signal based on the health risk level value is: S301. Basic value of health risk The calculation formula is: ; In the formula, Noise exposure value The weight coefficient of The basic value of hypertension risk , is the risk level of hypertension The weight coefficient of The basic value of sudden death risk The weight coefficient of Sudden death risk level The weight coefficient of ; S302, Health risk level value Includes low health risks , medium health risk and high health risks , health risk level The calculation formula is: ; In the formula, is the lower threshold of health risk level, It is the upper limit threshold of the health risk level. The higher the risk level, the stronger the warning signal.

[0029] The present invention fully considers individual differences in the evaluation process, and takes demographic characteristics, chronic disease history, individual reactions, etc. into consideration. Different users face different health risks even in the same noise environment due to differences in age, medical history, etc. By performing differentiated calculations based on whether or not they have a history of chronic disease or cardiovascular disease, the evaluation results are more in line with the actual health status of each user, thereby improving the accuracy and practicality of risk assessment.

[0030] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A noise risk assessment and management system for human health, characterized in that: include: An information collection unit, used for acquiring noise information and human information; An information processing unit, the information processing unit is connected to the information acquisition unit and is used to process and analyze the information acquired by the information acquisition unit; A health risk assessment management unit, which is connected to the information processing unit and sends a warning signal to the user by calculating the health risk level value; Wherein, the information processing unit includes an information storage module, a communication module, an information processing module and an information calculation module; Wherein, the information storage module is used to temporarily store noise information and human information, and upload the two information to the communication module; The communication module is connected to the information storage module and is used to upload the received information to the information processing module; The information processing module is connected to the communication module, and obtains the noise exposure value, the hypertension risk level value and the sudden death risk level value according to the noise information and human information transmitted by the information storage module; The information calculation module is connected to the information processing module, and calculates the health risk level value according to the noise exposure value, hypertension risk level value and sudden death risk level value obtained by the information processing module.

2. A noise risk assessment and management system for human health according to claim 1, characterized in that: The information collection unit includes an information monitoring device and a user information platform. The information monitoring device is connected to the user information platform, and both the information monitoring device and the user information platform are connected to the information storage module to upload the collected noise information and human information to the information storage module in real time.

3. A noise risk assessment and management system for human health according to claim 2, characterized in that: The information monitoring device includes a noise sensor and a computer. A noise analysis information program runs on the computer. The signal value processed by the noise analysis information program is sent to an information storage module through the computer. The noise sensor is connected to the noise analysis information program and uploads the detected noise value to the noise analysis information program in real time.

4. A noise risk assessment and management system for human health according to claim 3, characterized in that: The user information platform includes a user platform for users to upload their own demographic characteristics and chronic disease history and a cloud service unit. The cloud service unit is connected to the information storage module and is used to send the demographic characteristics and chronic disease history to the cloud service unit. The cloud service unit is connected to the information storage module and is used to send information to the information storage module.

5. The noise risk assessment and management system for human health according to claim 1, characterized in that: The noise exposure value The calculation formula is , where is the noise value, is the noise duration, is the frequency of noise in a day, is the frequency of noise in a week, is the common logarithm to base 10.

6. A noise risk assessment and management system for human health according to claim 5, characterized in that: The calculation method of the hypertension risk level value is as follows: Basic risk of hypertension The calculation formula is , where Indicates the noise value Basic value of hypertension risk The influence coefficient of is the noise duration The influence coefficient of The frequency of noise in a day The influence coefficient of is the frequency of noise in a week The influence coefficient of It's age The influence coefficient of Indicated by whether there is a history of chronic disease The influence coefficient of Hypertension risk level Low risk of hypertension , high blood pressure disease risk High risk of hypertension , risk level of hypertension The calculation formula is , where is the lower limit threshold of the risk level of hypertension. It is the upper limit threshold of the risk level of hypertension.

7. A noise risk assessment and management system for human health according to claim 6, characterized in that: The calculation method of the sudden death risk level value is: Sudden death risk baseline The calculation formula is , where Indicates the noise value Basic value of sudden death risk The influence coefficient of is the noise duration Basic value of sudden death risk The influence coefficient of The frequency of noise in a day Basic value of sudden death risk The influence coefficient of is the frequency of noise in a week Basic value of sudden death risk The influence coefficient of Indicate age Basic value of sudden death risk The influence coefficient of Indicated by history of cardiovascular disease The influence coefficient is a binary variable, with 0 representing no and 1 representing yes. This coefficient reflects the basic value of the risk of sudden death caused by the presence or absence of cardiovascular disease history. the extent of the impact; Sudden death risk level Including low risk of sudden death , medium risk of sudden death and high risk of sudden death , sudden death risk level value The calculation formula is , where is the lower limit threshold of the risk level of sudden death, It is the upper limit threshold of sudden death risk level.

8. A noise risk assessment and management system for human health according to claim 7, characterized in that: The health risk level value is calculated as follows: Health risk basic value The calculation formula is , where is the noise exposure value The weight coefficient of The basic value of hypertension risk , is the risk level of hypertension The weight coefficient of The basic value of sudden death risk The weight coefficient of Sudden death risk level The weight coefficient of ; Health risk level value Includes low health risks , medium health risk and high health risks , health risk level The calculation formula is , where is the lower threshold of health risk level, It is the upper limit threshold of health risk level.

9. A method for assessing and managing the risk of noise to human health, which is used in a noise risk assessment and management system for human health as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: S1. Acquire noise information and human information using an information acquisition unit; S2. Processing and analyzing the acquired information using an information processing unit to obtain noise exposure values, hypertension risk, and sudden death risk; S3. Utilize the health risk assessment management unit to calculate the health risk level value and send a warning signal to the user.

10. A method for assessing and managing noise risks to human health according to claim 9, characterized in that: The specific method of obtaining noise information and human information is: S101, using a noise sensor to monitor the noise value in real time, and the noise sensor sends the monitored noise value to a noise analysis information program; S102, using the cloud service unit to store the user's demographic characteristics, chronic disease history, and historical information; S103. Use the user platform to allow patients to actively input their chronic disease history, exposure duration, and individual reactions, and then transmit their demographic characteristics and chronic disease history to the cloud service unit.

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