Atmospheric VOCs health risk assessment method and system
By deploying sensors in the atmosphere and collecting data through wearable devices, individualized dynamic risk values are calculated, solving the individualization and forward-looking issues of atmospheric VOCs assessment in existing technologies, and realizing high-precision, real-time health risk assessment and early warning.
Patent Information
- Application Number
- CN202511181425.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-22
- Publication Date
- 2026-01-06
AI Technical Summary
Existing methods for assessing the health risks of atmospheric VOCs rely on data from fixed locations, which cannot achieve individualized and dynamic risk assessments and lacks forward-looking early warning capabilities, resulting in large errors and delayed responses in the assessment results.
By deploying outdoor sensors to acquire VOCs concentration data, and combining this with physiological parameters collected by flexible wearable devices worn by users, individualized dynamic risk values are calculated, and real-time assessment and early warning are conducted using the physiological entropy change coefficient.
It enables individualized and dynamic risk assessment, improves the accuracy and reliability of assessment results, provides real-time early warning before health damage occurs, shortens the assessment cycle to minutes, and provides proactive protection.
Smart Images
Figure CN121281815A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of atmospheric detection technology, specifically to a method and system for assessing the health risks of atmospheric VOCs. Background Technology
[0002] Atmospheric VOCs health risk assessment refers to the process of systematically analyzing and quantifying the potential and severity of adverse effects of volatile organic compounds in the atmosphere on human health. Its core objective is to understand the potential health risks, particularly carcinogenic and non-carcinogenic risks, that may result from exposure to specific VOCs or mixtures of VOCs, providing a scientific basis for environmental management decisions, standard setting, and pollution control.
[0003] The existing method is: risk assessment based on monitoring data: directly using atmospheric VOCs concentration data (usually time series data) obtained from ambient air quality monitoring stations or research monitoring, to calculate the carcinogenic and non-carcinogenic risks of a population at a specific location or in a specific area. Often, after analyzing the sources using receptor models, the health risks contributed by different pollution sources are assessed.
[0004] Risk assessment based on biomonitoring (internal exposure): By detecting the concentration of VOCs or their metabolites in human biological samples (such as blood, urine, and exhaled air), the level of exposure in the human body is directly reflected, and the actual internal exposure load of an individual or a specific population is assessed; the internal exposure dose is compared with the toxicity reference value to conduct risk assessment; and the accuracy of environmental exposure assessment is verified.
[0005] The existing technology has the following defects, specifically:
[0006] 1. Single assessment dimension, ignoring individual physiological response: Existing technology relies heavily on environmental concentration monitoring data at fixed locations and uses a simple model of "concentration × toxicity parameter" for calculation. The result is an "average risk" based on the statistical population, rather than a "true risk" for a specific individual.
[0007] 2. Fragmented data sources fail to reflect real exposure scenarios: Traditional methods often fail to effectively integrate exposure data from different micro-environments such as indoors, outdoors, and transportation. An individual's all-day, dynamically changing movement trajectory and exposure history are severely simplified, resulting in huge errors in exposure assessment and failing to accurately depict the "individual panoramic exposure spectrum".
[0008] 3. The response is severely delayed, making it impossible to provide proactive early warning: From environmental monitoring to the citation of laboratory toxicity data and then to risk calculation, the whole process is time-consuming and usually "post-event assessment". It lacks the ability to capture early and subclinical physiological disorders, and cannot provide real-time and effective early warning before health damage occurs, thus missing the best intervention opportunity. Summary of the Invention
[0009] To address the aforementioned technical shortcomings, the present invention aims to provide a method and system for assessing the health risks of atmospheric VOCs.
[0010] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a method for assessing the health risks of atmospheric VOCs, including: S1, acquiring target area information: by deploying outdoor fixed sensor nodes, acquiring the concentration data of various VOCs in the target area at the current time, and calculating the basic toxicity risk coefficient of the target area at the current time based on the concentration data of various VOCs in the target area at the current time.
[0011] S2. Physiological parameter acquisition: The physiological parameters of users in the target area are acquired at the current moment through a flexible wearable device worn by the user. The physiological parameters of users in the target area are analyzed to obtain the physiological entropy change coefficient of users in the target area.
[0012] S3. Dynamic Risk Assessment: Based on the basic toxicity risk coefficient of the target area at the current moment and the physiological entropy change coefficient of users in the target area, the individualized dynamic risk value of users in the target area is calculated.
[0013] S4. Risk Intervention: Based on the individualized dynamic risk values of users within the target area, analyze the health status of atmospheric VOCs within the target area, and then take corresponding measures based on the health status of atmospheric VOCs within the target area.
[0014] Preferably, the method for calculating the basic toxicity risk coefficient of the target area at the current moment is as follows: extract the concentrations of various VOCs in the target area at the current moment, obtain the risk factors corresponding to various VOCs from the database, and substitute them into the formula for calculating the basic toxicity risk coefficient to obtain the basic toxicity risk coefficient of the target area at the current moment. The calculation formula is as follows:
[0015]
[0016] Among them, R base C represents the baseline toxicity risk coefficient of the target area at the current moment. i UR represents the concentration of the i-th VOC in the target area at the current time. i This represents the risk factor corresponding to the i-th type of VOCs stored in the database, where i represents the VOCs number and j represents the total number of VOCs.
[0017] Preferably, the analysis of physiological parameters of users within the target area is specifically implemented as follows:
[0018] The physiological parameters of users within the target area include the coefficient of variation of acetone concentration, the coefficient of variation of bioimpedance, and the coefficient of variation of heart rate.
[0019] The acetone concentration change coefficient, bioimpedance change coefficient, and heart rate variability coefficient of users within the target area were normalized and then substituted into the formula for calculating the physiological entropy change coefficient to obtain the physiological entropy change coefficient of users within the target area. The calculation formula is as follows:
[0020]
[0021] Among them, S ec A represents the physiological entropy change coefficient of users within the target area. norm Z represents the coefficient of change in acetone concentration among users within the target area. norm HRV represents the bioimpedance variation coefficient of users within the target area. cv,norm W represents the heart rate variability coefficient for users within the target area. A W Z W H These represent the weighting factors for the acetone concentration change coefficient, the bioimpedance change coefficient, and the heart rate variability coefficient, respectively, preset in the database.
[0022] Preferably, the heart rate variability coefficient of the user in the target area is specifically implemented as follows: the electrocardiogram (ECG) signal of the user in the target area is acquired through triaxial accelerometer data; ECG signal artifacts are identified and eliminated through an adaptive filtering algorithm to obtain a clean ECG signal of the user in the target area; a fast Fourier transform is performed to obtain the power density of the user in the target area in the low-frequency band and the power density of the user in the target area in the high-frequency band; the power density of the user in the target area in the low-frequency band and the power density of the user in the target area in the high-frequency band are substituted into the heart rate variability coefficient calculation formula to obtain the heart rate variability coefficient of the user in the target area.
[0023] Preferably, the formula for calculating the coefficient of variation of heart rate is:
[0024] HRV cv,norm =|LF / HF-μ| / σ;
[0025] Wherein, LF represents the power density of users in the target area in the low-frequency band, HF represents the power density of users in the target area in the high-frequency band, μ represents the baseline value of the low-frequency to high-frequency power ratio of users in the target area stored in the database, and σ represents the standard deviation of the low-frequency to high-frequency power ratio of users in the target area stored in the database.
[0026] Preferably, the individualized dynamic risk value of users within the target area is specifically implemented as follows:
[0027] The baseline toxicity risk coefficient of the target area and the physiological entropy change coefficient of users within the target area at the current moment are extracted and substituted into the individualized dynamic risk value calculation formula to calculate the individualized dynamic risk value of users within the target area. The calculation formula is as follows:
[0028]
[0029] Among them, R calibrated R represents the individualized dynamic risk value of users within the target area, where α represents the age adjustment factor. base S represents the baseline toxicity risk coefficient of the target area at the current moment. ec τ represents the physiological entropy change coefficient of users within the target area, e represents the natural constant, k represents the correction coefficient, and τ represents the time constant.
[0030] Preferably, the analysis of the health status of atmospheric VOCs within the target area is specifically implemented as follows:
[0031] Extract individualized dynamic risk values of users within the target area, input these values into the atmospheric VOCs health assessment model, and output the assessment results of the atmospheric VOCs health status within the target area.
[0032] The assessment result of the health status of atmospheric VOCs includes values of 0, 1, and 2. If the assessment result of the health status of atmospheric VOCs in the target area is 0, then the atmospheric VOCs in the target area are determined to be in a healthy state. If the assessment result of the health status of atmospheric VOCs in the target area is 1, then the atmospheric VOCs in the target area are determined to be in a sub-healthy state. If the assessment result of the health status of atmospheric VOCs in the target area is 2, then the atmospheric VOCs in the target area are determined to be in a dangerous state.
[0033] Preferably, the atmospheric VOCs health assessment model is expressed as follows:
[0034]
[0035] Where H represents the assessment result of the health status of atmospheric VOCs in the target area, and R safe R represents the threshold value between the preset healthy state and the sub-healthy state in the database. alert This represents the threshold value between the pre-defined sub-healthy state and the dangerous state in the database.
[0036] A second aspect of the present invention provides a system for a method of assessing the health risks of atmospheric VOCs, comprising:
[0037] Target Area Information Acquisition Module: This module acquires the concentration data of various VOCs in the target area at the current moment by deploying outdoor fixed sensor nodes, and calculates the basic toxicity risk coefficient of the target area at the current moment based on the concentration data of various VOCs in the target area at the current moment.
[0038] Physiological parameter acquisition module: Used to acquire the physiological parameters of users in the target area at the current moment through a flexible wearable device worn by the user, analyze the physiological parameters of users in the target area, and obtain the physiological entropy change coefficient of users in the target area.
[0039] Dynamic Risk Assessment Module: This module is used to calculate the individualized dynamic risk value of users within the target area based on the baseline toxicity risk coefficient of the target area at the current moment and the physiological entropy change coefficient of users within the target area.
[0040] Risk intervention module: It is used to analyze the health status of atmospheric VOCs in the target area based on the individualized dynamic risk values of users in the target area, and then take corresponding measures based on the health status of atmospheric VOCs in the target area.
[0041] Preferably, a system for assessing the health risks of atmospheric VOCs further includes a database for storing risk factors corresponding to various VOCs, a preset weighting factor for the coefficient of variation of acetone concentration, a weighting factor for the coefficient of variation of bioimpedance, a weighting factor for the coefficient of variation of heart rate, a benchmark value for the ratio of low-frequency to high-frequency power of users in the target area, the standard deviation of the ratio of low-frequency to high-frequency power of users in the target area, preset threshold values for healthy and sub-healthy states, and preset threshold values for sub-healthy and dangerous states.
[0042] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0043] 1. It has achieved a paradigm shift from "environment-driven" to "physiological-driven" approaches, introducing physiological parameters as feedback signals for risk calibration. This directly captures the body's metabolic, neural, and cardiovascular stress responses to VOCs exposure, making risk assessment no longer dependent on theoretical calculations but based on the individual's real and dynamic physiological state. This improves the accuracy and reliability of the assessment results, especially providing more precise protection for sensitive populations.
[0044] 2. An integrated exposure assessment system of "whole area-individual" was constructed. Through a dual-channel monitoring network of outdoor fixed nodes and indoor portable devices, and combined with individual spatiotemporal trajectory data, minute-level seamless tracking of the real exposure concentration of users throughout the day and in all scenarios (indoor-outdoor-transportation) was achieved, solving the core pain point of insufficient representativeness of exposure data in traditional methods.
[0045] 3. Real-time dynamic risk assessment and proactive early warning: Through real-time fusion analysis of exposure-physiological data, the risk assessment cycle is shortened from the "day / hour" level to the "minute" level. By using the physiological entropy variable as an indicator, early and subclinical physiological dysfunctions can be keenly detected before clinically perceptible health damage occurs, thus achieving true "advanced early warning" and winning valuable time for proactive intervention. Attached Figure Description
[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0047] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention;
[0048] Figure 2 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation
[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0050] according to Figure 1 As shown, the present invention provides a method for assessing the health risks of atmospheric VOCs, including: S1, acquiring target area information: by deploying outdoor fixed sensor nodes, acquiring the concentration data of various VOCs in the target area at the current time, and calculating the basic toxicity risk coefficient of the target area at the current time based on the concentration data of various VOCs in the target area at the current time.
[0051] It should be noted that the various VOCs mentioned include, but are not limited to, benzene, formaldehyde, and toluene.
[0052] In one specific embodiment, the method for calculating the basic toxicity risk coefficient of the target area at the current moment is as follows: extract the concentrations of various VOCs in the target area at the current moment, obtain the risk factors corresponding to various VOCs from the database, and substitute them into the formula for calculating the basic toxicity risk coefficient to obtain the basic toxicity risk coefficient of the target area at the current moment. The calculation formula is as follows:
[0053]
[0054] Among them, R base C represents the baseline toxicity risk coefficient of the target area at the current moment. i UR represents the concentration of the i-th VOC in the target area at the current time. i This represents the risk factor corresponding to the i-th type of VOCs stored in the database, where i represents the VOCs number and j represents the total number of VOCs.
[0055] It should be noted that the risk factors corresponding to the various VOCs are set by professionals. For example, they take into account their physicochemical properties and health hazard characteristics: determine the basic toxicity weight based on toxicological data (such as LD50, carcinogenicity classification), set the exposure coefficient in combination with the exposure route (inhalation, skin contact), classify the concentration risk level with reference to environmental concentration limits (such as national occupational exposure limits, ambient air quality standards), and take into account the differences in population sensitivity (such as the amplification factor for children and pregnant women). Finally, the parameters are integrated into a quantitative risk factor through weighted calculation.
[0056] S2. Physiological parameter acquisition: The physiological parameters of users in the target area are acquired at the current moment through a flexible wearable device worn by the user. The physiological parameters of users in the target area are analyzed to obtain the physiological entropy change coefficient of users in the target area.
[0057] In one specific embodiment, the analysis of the physiological parameters of users within the target area is specifically implemented by the following method: the physiological parameters of users within the target area include the coefficient of change of acetone concentration, the coefficient of change of bioimpedance, and the coefficient of variation of heart rate.
[0058] It should be noted that acetone is an endogenous product of human metabolism and also an exogenous source of common VOCs (such as solvent and fuel combustion emissions). Changes in its concentration in blood and exhaled breath can reflect the intensity of VOC exposure and the body's metabolic state. The acetone concentration change coefficient is calculated by collecting the blood or exhaled acetone concentration of users in the target area when they are not exposed to high-concentration VOC environments (e.g., fasting in the morning, no obvious indoor odor), and recording this as the baseline acetone concentration. Within the target area, the current acetone concentration of users in the target area is obtained through portable detectors or biological sample analysis (e.g., exhaled breath sampling, finger-prick blood testing). This is then used to calculate the acetone concentration change coefficient for users within the target area. The calculation formula is as follows:
[0059]
[0060] Among them, A norm This represents the coefficient of variation in acetone concentration for users within the target area, where C0 represents the baseline acetone concentration, and C... tThis indicates the current acetone concentration for users in the target area.
[0061] Bioimpedance is a physical quantity reflecting the conductivity of human tissues and is closely related to extracellular fluid hydration and cell membrane integrity. VOCs may cause changes in bioimpedance by affecting cell membrane permeability or fluid balance, and its coefficient of change can indirectly reflect the impact of VOCs on cell function. The bioimpedance change coefficient for users within the target area is calculated under standard conditions (e.g., fasting, room temperature 25°C, dry skin) using a bioimpedance meter (fixed frequency 50kHz) to measure the baseline impedance value of a specific location (e.g., wrist-to-ankle). Within the target area, maintaining consistent measurement conditions, the current bioimpedance value is obtained and substituted into the bioimpedance change coefficient calculation formula to obtain the bioimpedance change coefficient for users within the target area. The calculation formula is as follows:
[0062]
[0063] Among them, Z norm Z represents the bioimpedance variation coefficient of users within the target area, Z0 represents the baseline impedance value, and Z t This indicates the current bioimpedance value.
[0064] The acetone concentration change coefficient, bioimpedance change coefficient, and heart rate variability coefficient of users within the target area were normalized and then substituted into the formula for calculating the physiological entropy change coefficient to obtain the physiological entropy change coefficient of users within the target area. The calculation formula is as follows:
[0065]
[0066] Among them, S ec A represents the physiological entropy change coefficient of users within the target area. norm Z represents the coefficient of change in acetone concentration among users within the target area. norm HRV represents the bioimpedance variation coefficient of users within the target area. cv,norm W represents the heart rate variability coefficient for users within the target area. A W Z W H These represent the weighting factors for the acetone concentration change coefficient, the bioimpedance change coefficient, and the heart rate variability coefficient, respectively, preset in the database.
[0067] It should be noted that the weighting factors for the acetone concentration change coefficient, bioimpedance change coefficient, and heart rate variability coefficient preset in the database are set by professionals. For example, the weighting factor for the acetone concentration change coefficient should be set based on its direct correlation with VOCs exposure: referring to the correlation data between this coefficient and exogenous VOCs intake dose in toxicological studies, combined with its sensitivity to metabolic abnormalities in clinical samples, the weight can be appropriately increased in high-risk exposure scenarios, while in low-concentration chronic exposure, it should be adjusted according to the strength of its association with health damage. Finally, its contribution to the overall risk assessment is quantified through statistical models (such as multiple regression). The weighting factor for the bioimpedance change coefficient focuses on its indirect ability to reflect cell / tissue state: combined with different VOCs components (such as... The impact of lipid-soluble and water-soluble VOCs on cell membrane permeability varies. Referring to the variation of this coefficient in sub-healthy states in population exposure studies, its weight is increased in scenarios involving chronic tissue damage. Simultaneously, it is adjusted based on the degree of influence from interfering factors (such as changes in body fluids) to ensure the weight matches the correlation with actual physiological responses. The weighting factor for the heart rate variability coefficient needs to be set around its association with VOCs neurotoxicity: based on the correlation data between heart rate variability and neurotransmitter levels in acute exposure experiments, combined with the strength of the association between this coefficient and adverse cardiovascular events in population cohort studies, its weight is increased in high-concentration VOCs (with neurostimulatory effects) exposure scenarios, while in chronic low-concentration exposure, it is adjusted based on its early warning ability for autonomic nervous system dysfunction, while also considering the impact of individual baseline heart rate differences on the weight.
[0068] In one specific embodiment, the heart rate variability coefficient of the user within the target area is specifically implemented as follows: ECG signals of the user within the target area are acquired using triaxial accelerometer data; ECG signal artifacts are identified and eliminated using an adaptive filtering algorithm to obtain a clean ECG signal of the user within the target area; a fast Fourier transform is performed to obtain the power density of the user within the target area in the low-frequency band and the power density of the user within the target area in the high-frequency band; these power densities are then substituted into the heart rate variability coefficient calculation formula to obtain the heart rate variability coefficient of the user within the target area.
[0069] In one specific embodiment, the formula for calculating the coefficient of variation of heart rate is:
[0070] HRV cv,norm =|LF / HF-μ| / σ;
[0071] Wherein, LF represents the power density of users in the target area in the low-frequency band, HF represents the power density of users in the target area in the high-frequency band, μ represents the baseline value of the low-frequency to high-frequency power ratio of users in the target area stored in the database, and σ represents the standard deviation of the low-frequency to high-frequency power ratio of users in the target area stored in the database.
[0072] It should be noted that the baseline value of the low-frequency to high-frequency power ratio of users in the target area stored in the database is set by professionals, for example, based on the physiological norms of healthy people: First, heart rate variability data of healthy people in the target area without VOCs exposure history and underlying cardiovascular diseases are collected under standard conditions (such as resting and comfortable environment), and the statistical distribution of their LF / HF is calculated (such as mean, median and 95% confidence interval); then, the age, gender, underlying health status and other characteristics of the population in the area are combined for stratification adjustment to eliminate the interference of short-term stress (such as exercise, emotional fluctuations) comparison values, and finally the typical value range of healthy people is used as the baseline value.
[0073] S3. Dynamic Risk Assessment: Based on the basic toxicity risk coefficient of the target area at the current moment and the physiological entropy change coefficient of users in the target area, the individualized dynamic risk value of users in the target area is calculated.
[0074] In one specific embodiment, the individualized dynamic risk value of users within the target area is specifically implemented as follows: The basic toxicity risk coefficient of the target area at the current moment and the physiological entropy change coefficient of users within the target area are extracted and substituted into the individualized dynamic risk value calculation formula to calculate the individualized dynamic risk value of users within the target area. The calculation formula is as follows:
[0075]
[0076] Among them, R calibrated R represents the individualized dynamic risk value of users within the target area, where α represents the age adjustment factor. base S represents the baseline toxicity risk coefficient of the target area at the current moment. ec τ represents the physiological entropy change coefficient of users within the target area, e represents the natural constant, k represents the correction coefficient, and τ represents the time constant.
[0077] It should be noted that the age moderating factor is set by professionals, for example, based on the association characteristics between age and VOCs exposure health risk: referring to the differences in sensitivity to VOCs toxicity among different age groups (e.g., children, adults, and the elderly) in epidemiological studies (e.g., children have weaker metabolic capacity, and the elderly have more underlying diseases, resulting in higher risk), and combining the age distribution data of the target area population, a regression model is used to quantify the degree of influence of age on risk susceptibility. Higher moderating coefficients are assigned to highly sensitive age groups, and appropriately lowered to low-sensitive age groups, so that the factor can dynamically match the individual's age-related risk differences; the correction coefficient is intended to eliminate non-VOCs factors. Interferences to risk assessment are set by professionals. For example, data on interfering factors (such as temperature, humidity, individual activity level, and emotional state) that may affect physiological indicators (such as heart rate variability and bioimpedance) within the target area are collected. The correlation between these factors and the physiological entropy change coefficient and the basic toxicity risk coefficient is analyzed. Correction values for each interfering factor are calculated using statistical methods (such as partial least squares correction). The correction coefficients are set as quantitative parameters that can counteract these interferences, ensuring that the risk value only reflects the true impact of VOCs exposure. The time constant is used to control the "response speed" or "sensitivity" of the calibration, and its value is usually related to the dynamic change cycle of the physiological indicator. For example, if a physiological parameter changes rapidly, a smaller value may be used to make the calibration result respond to entropy changes more quickly; if the change is slow, a larger value can be used to avoid excessive fluctuations.
[0078] S4. Risk Intervention: Based on the individualized dynamic risk values of users within the target area, analyze the health status of atmospheric VOCs within the target area, and then take corresponding measures based on the health status of atmospheric VOCs within the target area.
[0079] It should be noted that the measures taken based on the health status of atmospheric VOCs in the target area can be specifically described as: Sub-healthy state:
[0080] At the individual level: Strengthen protection and reduce exposure
[0081] Immediate protection: Users in the target area must wear respirators (such as KN95 or higher level particulate respirators, or activated carbon masks for organic vapors) to avoid direct inhalation of high concentrations of VOCs.
[0082] Sensitive individuals (such as asthma patients and pregnant women) should immediately stop outdoor activities, enter a closed indoor space, and turn on an air purifier (which should be equipped with a VOCs adsorption filter, such as activated carbon or molecular sieve).
[0083] Exposure control: Shorten the time spent in the target area (no more than 30 minutes per exposure). If it is necessary to stay in the area for work purposes, move to a well-ventilated area every 15 minutes.
[0084] Avoid lingering in places where VOCs tend to accumulate (such as basements and enclosed workshops), and prioritize open, well-ventilated locations.
[0085] Regional level: Emergency monitoring and local intervention
[0086] Enhanced monitoring: Activate real-time VOCs online monitoring equipment and update concentration data every 10 minutes (focusing on highly toxic components such as benzene, toluene, and formaldehyde), while simultaneously recording meteorological parameters such as temperature and humidity (VOCs diffusion is significantly affected by meteorological conditions).
[0087] Increase the frequency of manual sampling (once every 2 hours), and conduct laboratory analysis of VOCs components and concentrations to identify high-risk sources (such as industrial emissions, paint volatilization, and vehicle exhaust).
[0088] Local environmental intervention: Turn on the forced ventilation system (such as fresh air system, exhaust fan) in enclosed spaces (such as office buildings, workshops), and the ventilation volume should reach more than 10 times per hour to accelerate the diffusion of VOCs.
[0089] If the area is outdoors (such as around an industrial zone), a water curtain can be sprayed using a fog cannon (a small amount of VOCs adsorbent, such as activated carbon powder, can be added) to temporarily suppress the diffusion of VOCs (suitable for short-term emergency situations).
[0090] At the pollution source level: investigation and preliminary control
[0091] Rapid source tracing: Combining monitoring data with regional industrial layout (such as factories, painting plants, gas stations), potential pollution sources (such as exhaust gas leaks, storage tank volatilization, and fugitive emissions) are identified.
[0092] Conduct on-site testing of suspected pollution sources (such as using portable VOCs detectors) to confirm whether there are excessive emissions (such as emission concentrations exceeding national limits by more than 1.5 times).
[0093] Temporary control measures: For pollution sources exceeding the standards, order the suspension of production or operations (such as suspending painting or reducing the feeding of storage tanks), and close the exhaust outlets until the concentration drops to a safe range.
[0094] For mobile pollution sources (such as oil tankers and organic solvent transport vehicles), restrict their movement and stay within the target area, and guide them to downwind areas away from population areas.
[0095] Health Intervention: Symptom Monitoring and Early Treatment
[0096] Register health symptoms of people in the area (such as dizziness, nausea, respiratory discomfort, etc.), and focus on tracking the physiological indicators of sensitive groups (such as heart rate, blood oxygen, and respiratory rate).
[0097] If mild symptoms occur, guide the patient to a temporary medical point for symptomatic treatment (such as oxygen inhalation and administration of anti-allergy medication); if symptoms persist or worsen, promptly transfer the patient to a hospital for further examination (such as blood routine and lung function tests).
[0098] Dangerous situation:
[0099] Individual Level: Mandatory Evacuation and First Aid
[0100] Immediate evacuation: Issue an emergency evacuation order (via broadcast, SMS, or on-site command), requiring all personnel in the target area to evacuate to a safe upwind area within 10 minutes (this area must be designated in advance, at least 500 meters away from the pollution source, and well-ventilated with no VOCs accumulation).
[0101] During evacuation, move in a low posture (VOCs are mostly heavier than air and tend to accumulate at low altitudes), wear an emergency gas mask (such as a self-contained breathing apparatus, suitable for high concentrations of organic vapors), and avoid skin contact (some VOCs are irritating and require protective clothing).
[0102] Emergency medical rescue: For those with acute symptoms (such as difficulty breathing, confusion, vomiting), provide immediate on-site first aid (such as loosening the collar, keeping the airway open, and administering oxygen), and have them transported by ambulance to a hospital with the capacity to treat poisoning.
[0103] Record the exposure time and symptoms to provide the hospital with information on possible components of VOCs (e.g., benzene poisoning requires targeted detoxification).
[0104] Regional level: Complete lockdown and environmental remediation
[0105] Traffic and area closure: Notify the traffic management department to implement temporary traffic control in the target area, prohibit unrelated vehicles and personnel from entering (especially downwind areas), and set up warning lines and warning signs (such as "VOCs exceed standards, entry prohibited").
[0106] Issue notices to close or suspend classes at nearby sensitive locations (schools, hospitals, residential areas) and organize the relocation of personnel to alternative safe locations.
[0107] High-efficiency environmental purification: In enclosed spaces (such as workshops and basements), inert gas replacement (such as nitrogen) is initiated to quickly reduce VOCs concentration to below the lower explosive limit (to prevent the risk of combustion and explosion), followed by forced ventilation.
[0108] In outdoor areas, drones or vehicle-mounted equipment can be used to spray highly efficient VOCs degrading agents (such as photocatalysts and oxidants) to accelerate the decomposition of pollutants (suitable for scenarios where pollution sources cannot be cut off in a short time).
[0109] At the pollution source level: mandatory shutdown and source tracing and accountability
[0110] Emergency shutdown of pollution sources: For confirmed pollution sources (such as factory exhaust outlets, storage tank leaks), take mandatory shutdown measures (such as cutting off raw material supply, closing valves, and sealing leaks). If necessary, emergency teams should carry out professional sealing (such as using explosion-proof tools to deal with flammable and explosive VOCs).
[0111] If the source of pollution is a mobile source (such as a chemical transport vehicle leak), immediately activate the emergency response plan for hazardous chemicals, and have a professional team contain, absorb (using absorbent cotton), and transfer the residual liquid.
[0112] Subsequent monitoring and health follow-up
[0113] Continuous monitoring: Monitor the VOCs concentration in the target area every 30 minutes until three consecutive test results are below the threshold before the emergency status can be lifted.
[0114] Simultaneously monitor the surrounding area (1-2 kilometers downwind) to prevent pollutants from spreading to other areas.
[0115] Health follow-up: Conduct 72-hour health tracking of the exposed population (especially those exposed for more than 1 hour) to monitor for delayed symptoms (such as liver and kidney damage).
[0116] Establish health records for sensitive individuals and conduct regular physical examinations (such as blood routine and liver enzyme indicators after 3 months) to detect chronic damage early.
[0117] In one specific embodiment, the method for analyzing the health status of atmospheric VOCs in the target area is as follows: extracting individualized dynamic risk values of users in the target area, inputting the individualized dynamic risk values of users in the target area into the atmospheric VOCs health judgment model, and outputting the judgment result of the health status of atmospheric VOCs in the target area.
[0118] The assessment result of the health status of atmospheric VOCs includes values of 0, 1, and 2. If the assessment result of the health status of atmospheric VOCs in the target area is 0, then the atmospheric VOCs in the target area are determined to be in a healthy state. If the assessment result of the health status of atmospheric VOCs in the target area is 1, then the atmospheric VOCs in the target area are determined to be in a sub-healthy state. If the assessment result of the health status of atmospheric VOCs in the target area is 2, then the atmospheric VOCs in the target area are determined to be in a dangerous state.
[0119] In one specific embodiment, the atmospheric VOCs health assessment model is expressed as follows:
[0120]
[0121] Where H represents the assessment result of the health status of atmospheric VOCs in the target area, and R safeR represents the threshold value between the preset healthy state and the sub-healthy state in the database. alert This represents the threshold value between the pre-defined sub-healthy state and the dangerous state in the database.
[0122] It should be noted that the threshold values for healthy and sub-healthy states preset in the database are set by professionals. For example, based on the normal distribution of physiological parameters of healthy people: by collecting statistical data on indicators such as acetone concentration change coefficient, bioimpedance change coefficient, and heart rate variability coefficient of healthy people without underlying diseases and obvious exposure risks in the target area, the upper limit of its 95% confidence interval is determined as an initial reference. Then, combined with the early characteristics of sub-healthy state in clinical studies (such as slight deviation of physiological parameters but no organic lesions), and referring to expert consensus, individual differences (such as age and physical condition) are stratified and corrected. Finally, the threshold value that can distinguish between "normal fluctuation of physiological parameters" and "early functional abnormality" is set as the threshold value to ensure that the transition signal from health to sub-health can be sensitively captured. The threshold values for sub-healthy and dangerous states preset in the database are set in the same way as above, and will not be elaborated on here.
[0123] according to Figure 2 As shown, the present invention provides a system for assessing the health risks of atmospheric VOCs, comprising: a target area information acquisition module: used to acquire the concentration data of various VOCs in the target area at the current time by deploying outdoor fixed sensor nodes, and to calculate the basic toxicity risk coefficient of the target area at the current time based on the concentration data of various VOCs in the target area at the current time.
[0124] Physiological parameter acquisition module: Used to acquire the physiological parameters of users in the target area at the current moment through a flexible wearable device worn by the user, analyze the physiological parameters of users in the target area, and obtain the physiological entropy change coefficient of users in the target area.
[0125] Dynamic Risk Assessment Module: This module is used to calculate the individualized dynamic risk value of users within the target area based on the baseline toxicity risk coefficient of the target area at the current moment and the physiological entropy change coefficient of users within the target area.
[0126] Risk intervention module: It is used to analyze the health status of atmospheric VOCs in the target area based on the individualized dynamic risk values of users in the target area, and then take corresponding measures based on the health status of atmospheric VOCs in the target area.
[0127] It should be noted that the target area information acquisition module is connected to the physiological parameter acquisition module, the physiological parameter acquisition module is connected to the dynamic risk assessment module, the dynamic risk assessment module is connected to the risk intervention module, and the target area information acquisition module, physiological parameter acquisition module, dynamic risk assessment module, and risk intervention module are all connected to the database.
[0128] In one specific embodiment, a system for assessing the health risks of atmospheric VOCs further includes a database for storing risk factors corresponding to various VOCs, a preset weighting factor for the acetone concentration change coefficient, a weighting factor for the bioimpedance change coefficient, a weighting factor for the heart rate variability coefficient, a baseline value for the ratio of low-frequency to high-frequency power of users in the target area, the standard deviation of the ratio of low-frequency to high-frequency power of users in the target area, preset thresholds for healthy and sub-healthy states, and preset thresholds for sub-healthy and dangerous states.
[0129] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.
Claims
1. A method for assessing health risks of atmospheric VOCs, characterized by, The method comprises the following steps: S1, target area information acquisition: by deploying outdoor fixed sensor nodes, the concentration data of various VOCs in the target area at the current time is obtained, and based on the concentration data of various VOCs in the target area at the current time, the toxicity basic risk coefficient of the target area at the current time is calculated; S2, physiological parameter acquisition: by wearing a flexible wearable device, the physiological parameters of the user in the target area at the current time are obtained, and the physiological parameters of the user in the target area are analyzed to obtain the physiological entropy change coefficient of the user in the target area; S3, dynamic risk assessment: based on the toxicity basic risk coefficient of the target area at the current time and the physiological entropy change coefficient of the user in the target area, the individualized dynamic risk value of the user in the target area is calculated; S4, risk intervention: based on the individualized dynamic risk value of the user in the target area, the health status of the atmospheric VOCs in the target area is analyzed, and then corresponding measures are taken based on the health status of the atmospheric VOCs in the target area. 2.The atmospheric VOCs health risk assessment method according to claim 1, characterized in that, The specific implementation method for calculating the toxicity basic risk coefficient of the target area at the current time is as follows: The concentration of various VOCs in the target area at the current time is extracted, the risk factors corresponding to various VOCs are obtained from the database, and the toxicity basic risk coefficient calculation formula is brought in to obtain the toxicity basic risk coefficient of the target area at the current time, and the calculation formula is as follows: wherein R base represents the toxicity-based risk coefficient of the target area at the current time, C i represents the concentration of the ith VOCs in the target area at the current time, UR i represents the risk factor corresponding to the ith VOCs stored in the database, i represents the number of VOCs, and j represents the total number of VOCs. 3.The atmospheric VOCs health risk assessment method according to claim 2, characterized in that, The specific implementation method for analyzing the physiological parameters of the user in the target area is as follows: The physiological parameters of the user in the target area include acetone concentration change coefficient, bioimpedance change coefficient and heart rate variation coefficient; The acetone concentration change coefficient, bioimpedance change coefficient and heart rate variation coefficient of the user in the target area are normalized and brought into the physiological entropy change coefficient calculation formula to obtain the physiological entropy change coefficient of the user in the target area, and the calculation formula is as follows: wherein S ec represents a physiological entropy change coefficient of the user in the target area, A norm represents an acetone concentration change coefficient of the user in the target area, Z norm represents a bioimpedance change coefficient of the user in the target area, HRV cv,norm represents a heart rate variability coefficient of the user in the target area, W A , W Z , W H respectively represent a weight factor of the preset acetone concentration change coefficient, a weight factor of the preset bioimpedance change coefficient, and a weight factor of the preset heart rate variability coefficient in the database.
4. The method according to claim 3, wherein, The specific implementation method for the heart rate variation coefficient of the user in the target area is as follows: The electrocardiogram signal of the user in the target area is obtained through a three-axis accelerometer data, the electrocardiogram signal artifact is identified and eliminated through an adaptive filtering algorithm, the pure electrocardiogram signal of the user in the target area is obtained, fast Fourier transform is performed, the power density of the user in the target area in the low frequency band and the power density of the user in the target area in the high frequency band are obtained, and the power density of the user in the target area in the low frequency band and the power density of the user in the target area in the high frequency band are brought into the heart rate variation coefficient calculation formula to obtain the heart rate variation coefficient of the user in the target area.
5. The method of claim 4, wherein, The heart rate variation coefficient calculation formula is as follows: HRV cv,norm = |LF / HF - μ| / σ; Wherein, LF represents the power density of the user in the target area in the low frequency band, HF represents the power density of the user in the target area in the high frequency band, μ represents the reference value of the low frequency and high frequency power ratio of the user in the target area stored in the database, and σ represents the standard deviation of the low frequency and high frequency power ratio of the user in the target area stored in the database.
6. The method of claim 5, wherein, The specific implementation method for the individualized dynamic risk value of the user in the target area is as follows: The toxicity basic risk coefficient of the target area at the current time and the physiological entropy change coefficient of the user in the target area are extracted and brought into the individualized dynamic risk value calculation formula to calculate the individualized dynamic risk value of the user in the target area, and the calculation formula is: wherein R calibrated represents the individualized dynamic risk value of the user in the target area, a represents the age adjustment factor, R base represents the toxicity base risk coefficient of the target area at the current time, S ec represents the physiological entropy change coefficient of the user in the target area, e represents the natural constant, k represents the correction coefficient, and τ represents the time constant.
7. The method of claim 6, wherein, The health state of the atmospheric VOCs in the target area is analyzed, and the specific implementation method is: The individualized dynamic risk value of the user in the target area is extracted, and the individualized dynamic risk value of the user in the target area is input into the atmospheric VOCs health judgment model to output the judgment result of the health state of the atmospheric VOCs in the target area. The judgment result of the health state of the atmospheric VOCs in the target area contains the values of 0, 1 and 2, if the judgment result of the health state of the atmospheric VOCs in the target area is 0, it is determined that the atmospheric VOCs in the target area are in a healthy state, if the judgment result of the health state of the atmospheric VOCs in the target area is 1, it is determined that the atmospheric VOCs in the target area are in a sub-healthy state, and if the judgment result of the health state of the atmospheric VOCs in the target area is 2, it is determined that the atmospheric VOCs in the target area are in a dangerous state. 8.The atmospheric VOCs health risk assessment method according to claim 7, characterized in that, The atmospheric VOCs health judgment model is expressed as: Wherein, H represents the judgment result of the health state of the atmospheric VOCs in the target area, R safe represents the critical value of the health state and the sub-health state preset in the database, R alert represents the critical value of the sub-health state and the dangerous state preset in the database.
9. A system for performing the method of atmospheric VOCs health risk assessment according to any one of claims 1 to 8, characterized in that, It comprises: A target area information acquisition module is configured to acquire the concentration data of various VOCs in the target area at the current time by deploying outdoor fixed sensor nodes, and calculate the toxicity basic risk coefficient of the target area at the current time based on the concentration data of various VOCs in the target area at the current time; A physiological parameter acquisition module is configured to acquire the physiological parameters of the user in the target area at the current time through a flexible wearable device worn by the user, analyze the physiological parameters of the user in the target area, and obtain the physiological entropy change coefficient of the user in the target area; A dynamic risk assessment module is configured to calculate the individualized dynamic risk value of the user in the target area based on the toxicity basic risk coefficient of the target area at the current time and the physiological entropy change coefficient of the user in the target area; A risk intervention module is configured to analyze the health state of the atmospheric VOCs in the target area based on the individualized dynamic risk value of the user in the target area, and then take measures based on the health state of the atmospheric VOCs in the target area.
10. A system for atmospheric VOCs health risk assessment method, characterized in that, It also comprises a database configured to store the risk factors corresponding to various VOCs, the weight factors of the preset acetone concentration change coefficient, the weight factors of the biological impedance change coefficient, the weight factors of the heart rate variation coefficient, the baseline value of the low-frequency to high-frequency power ratio of the user in the target area, the standard deviation of the low-frequency to high-frequency power ratio of the user in the target area, the preset health state and sub-healthy state critical value, and the preset sub-healthy state and dangerous state critical value.