Monitoring methods, systems, media and equipment for volatile organic compounds

Abstract

A monitoring method, system, medium and equipment for volatile organic compounds, relating to the field of environmental monitoring technology. The method comprises: determining a plurality of sampling points based on the historical emission source information of a target park, and obtaining air samples collected at each of the sampling points; performing data preprocessing on each of the air samples to obtain a target air sample; detecting the content of volatile organic compounds in each of the target air samples; calculating the emission hazard value of the target park in combination with the emission source characteristics of each of the sampling points and the content of each of the volatile organic compounds; and issuing an early warning when the emission hazard value is greater than a hazard threshold. Implementation of the technical solution provided in this application can improve the accuracy of volatile organic compound monitoring.

Description

Technical Field

[0001] The present application relates to the field of environmental monitoring technology, and in particular to a method, system, medium and equipment for monitoring volatile organic compounds. Background Art

[0002] As the number of industrial parks continues to increase, the production activities of various enterprises in the parks are becoming more frequent, and the types and quantities of waste gas pollutants emitted are also increasing. Among them, volatile organic compounds, as an important air pollutant, have caused serious harm to the surrounding environment and human health due to their high toxicity, wide diffusion range, and difficulty in control.

[0003] In the related art, the monitoring of volatile organic compounds in the park usually adopts the method of manual regular sampling, that is, the monitoring personnel regularly go to the fixed sampling points in the park, and use vacuum sampling bags or other sampling devices to collect air samples at each sampling point for analysis. However, this manual collection method is relatively cumbersome, and due to certain errors in manual detection, the accuracy of volatile organic compound monitoring is low. Summary of the invention

[0004] The present application provides a method, system, medium and equipment for monitoring volatile organic compounds, which can improve the accuracy of monitoring volatile organic compounds.

[0005] In a first aspect, the present application provides a method for monitoring volatile organic compounds, the method comprising:

[0006] Determine multiple sampling points based on historical emission source information of the target park, and obtain air samples collected at each of the sampling points; perform data preprocessing on each of the air samples to obtain a target air sample;

[0007] Detecting the content of volatile organic compounds in each of the target air samples;

[0008] Calculate the emission hazard value of the target park by combining the emission source characteristics of each sampling point and the content of each volatile organic compound;

[0009] When the emission hazard value is greater than the hazard threshold, an early warning prompt is issued.

[0010] By adopting the above technical solution, multiple sampling points are intelligently determined based on the historical emission source information of the target park and air samples are obtained. It is possible to determine key sampling points in a targeted manner to make the sampling more representative, and to perform data preprocessing and volatile organic compound content detection on the samples. Finally, the emission hazard value of the target park is calculated based on the emission source characteristics of the sampling points and the test results, thereby realizing real-time monitoring and quantitative evaluation of volatile organic compound emissions in the park. Compared with manual sampling monitoring, the emission hazard value can be accurately calculated and risk warnings can be issued, thereby improving the accuracy of volatile organic compound monitoring.

[0011] Optionally, the historical emission source information includes the historical average emission amount, emission frequency and emission type of each emission source, and the determining of multiple sampling points based on the historical emission source information of the target park includes:

[0012] The emission source of the emission type of volatile organic compounds is used as the initial sampling point;

[0013] Among the initial sampling points, the emission sources whose historical average emission amount is greater than the first emission amount or whose emission frequency is greater than the first frequency are taken as sampling points.

[0014] By adopting the above technical solution, the emission source of volatile organic compounds is used as the initial sampling point, and then the initial sampling points with higher historical average emissions or emission frequencies are screened out as the final sampling points. The sampling points determined in this way take into account not only the emission types of the enterprises, but also the emissions and frequencies, and can comprehensively reflect the different degrees of volatile organic compound emissions in the park, making the sampling more representative and targeted. Compared with the traditional manual point selection, it reduces subjective judgment and improves the accuracy and scientificity of sampling.

[0015] Optionally, obtaining the air samples collected at each of the sampling points includes:

[0016] Among the sampling points, a sampling point where the historical average emission amount is greater than the second emission amount and / or the emission frequency is greater than the second frequency is taken as a first sampling point, and a sampling point where the historical average emission amount is less than the second emission amount and the emission frequency is less than the second frequency is taken as a second sampling point;

[0017] Taking the center of the second sampling point as the collection point position;

[0018] Determine the locations of multiple sampling points according to the historical average emission and emission frequency of the first sampling point;

[0019] The air samples collected at each of the collection points are obtained.

[0020] By adopting the above technical solution, when obtaining air samples from sampling points, the sampling point with larger historical emission and frequency is determined as the first sampling point, and the sampling point with smaller historical emission and frequency is determined as the second sampling point. The center of the second sampling point is used as the collection point position, and multiple collection point positions are determined according to the emission characteristics of the first sampling point. By setting two types of sampling points, the collection can cover key emission sources and general emission sources, and the sampling range is more comprehensive and representative. The collection density and position can be determined according to the emission characteristics of different sampling points, and samples from different types of areas can be collected to avoid insufficient samples in key areas or too many samples in general areas, so as to better reflect the pollution status of the entire park.

[0021] Optionally, performing data preprocessing on each of the air samples to obtain a target air sample includes:

[0022] Performing data denoising processing on each of the air samples to obtain denoised data;

[0023] The denoised data is normalized and smoothed in sequence to obtain a target air sample.

[0024] By adopting the above technical solutions, random noise in sample data can be filtered and data quality can be improved. Normalization processing can eliminate the dimensional influence between samples, which is conducive to the comparability of different samples. Smoothing processing can suppress random disturbances in the data and make the sample data clearer and more reliable. Compared with directly using the original sampling data, the preprocessed target samples eliminate the influence of various noise interferences and systematic errors, and can more accurately reflect the actual concentration of the monitored object, thereby improving the accuracy of subsequent monitoring and analysis.

[0025] Optionally, the detecting the content of volatile organic compounds in each of the target air samples includes:

[0026] Performing component separation and quantitative analysis on each of the target air samples to obtain analysis results;

[0027] Determining the type of volatile organic compounds and corresponding concentration values ​​based on the analysis results;

[0028] The content of the volatile organic compounds in the target air sample is determined according to the concentration values ​​corresponding to the volatile organic compounds.

[0029] By adopting the above technical solution, through accurate component analysis and quantitative detection of samples, the various types of volatile organic compounds in the samples can be clearly distinguished and their concentrations can be accurately determined, avoiding the errors that may be caused by simple total amount detection. Combined with the quantitative results of each component, the overall volatile organic compound content of the sample can be comprehensively calculated.

[0030] Optionally, the emission source characteristics include the emission port area, the emission port hazard level and the emission duration, and the emission hazard value of the target park is calculated by combining the emission source characteristics of each sampling point and the content of each volatile organic compound, including:

[0031] Substituting the discharge port area, discharge port hazard level, discharge duration and volatile organic compound content of each sampling point into the hazard value calculation formula to obtain the emission hazard value of the target park;

[0032] The hazard value calculation formula is:

[0033]

[0034] In the formula, E is the emission hazard value, n is the number of sampling points, and E i is the emission hazard value of the i-th sampling point, S i is the discharge outlet area of ​​the i-th sampling point, S max is the maximum discharge outlet area among all sampling points, R i is the hazard level of the discharge port, T i is the emission duration, T max is the maximum emission duration among all sampling points, C i is the content of volatile organic compounds at the i-th sampling point, C max is the maximum value of volatile organic compounds in all sampling points, D i is the diffusion coefficient of the ith sampling point, H i is the hazard coefficient of the i-th sampling point.

[0035] By adopting the above technical solution, multiple parameters of each sampling point are comprehensively evaluated, and normalization processing is performed to ensure that each parameter is compared on the same scale to avoid imbalance due to different dimensions. Logarithmic transformation can smooth the data and reduce the impact of extreme values, making the calculation results more stable. The calculation formula provides an overall hazard value, which makes the evaluation results more comprehensive and accurate by considering the area of ​​the emission port, the hazard level of the emission port, the emission duration, the content of volatile organic compounds, the diffusion coefficient and the hazard coefficient.

[0036] Optionally, when the emission hazard value is greater than the hazard threshold, after issuing an early warning prompt, it also includes: determining emission control suggestions for the corresponding sampling points based on the content of volatile organic compound emissions in each of the sampling points, and the emission control suggestions include at least one of reducing the operating load of the emission source, optimizing process parameters, and closed collection;

[0037] After a preset period of time, if the emission hazard value is greater than the hazard threshold, an area evacuation warning is issued.

[0038] By adopting the above-mentioned technical solutions, a closed-loop mechanism for emission warning and control has been established. After the warning, not only can the risks be prompted, but also targeted control measures can be proposed to guide the park to improve its management. At the same time, a two-level warning model is adopted to ensure emission control while taking into account personnel safety.

[0039] In a second aspect of the present application, a volatile organic compound monitoring system is provided, the system comprising:

[0040] A sample collection module, used to determine multiple sampling points based on the historical emission source information of the target park, and obtain air samples collected at each of the sampling points;

[0041] A preprocessing module, used for performing data preprocessing on each of the air samples to obtain a target air sample;

[0042] A content detection module, used to detect the content of volatile organic compounds in each of the target air samples;

[0043] A hazard value calculation module, used to calculate the emission hazard value of the target park in combination with the emission source characteristics of each sampling point and the content of each volatile organic compound;

[0044] The early warning module is used to issue an early warning prompt when the emission hazard value is greater than the hazard threshold.

[0045] In a third aspect of the present application, a computer storage medium is provided, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing the above method steps.

[0046] In a fourth aspect of the present application, an electronic device is provided, comprising: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0047] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0048] This application uses intelligent determination of multiple sampling points and acquisition of air samples based on the historical emission source information of the target park. It can determine key sampling points in a targeted manner to make the sampling more representative, as well as perform data preprocessing and volatile organic compound content detection on the samples. Finally, the emission hazard value of the target park is calculated based on the emission source characteristics of the sampling points and the test results, realizing real-time monitoring and quantitative evaluation of volatile organic compound emissions in the park. Compared with manual sampling monitoring, it can accurately calculate the emission hazard value and issue risk warnings, thereby improving the accuracy of volatile organic compound monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1It is a flow chart of a method for monitoring volatile organic compounds provided in an embodiment of the present application;

[0050] Figure 2 It is a module schematic diagram of a volatile organic compound monitoring system provided in an embodiment of the present application;

[0051] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0052] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0053] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0054] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0055] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0056] The following will provide a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0057] Please refer to Figure 1, a flow chart of a volatile organic compound monitoring method is proposed, the method can be implemented by a computer program, can be implemented by a single-chip microcomputer, or can be run on a volatile organic compound monitoring system, the computer program can be integrated into a monitoring platform, or can be run as an independent tool application, specifically, the method includes steps 10 to 50, the above steps are as follows:

[0058] Step 10: Determine multiple sampling points based on the historical emission source information of the target park, and obtain air samples collected at each sampling point.

[0059] The target park is an industrial park or enterprise cluster area where volatile organic compound emissions monitoring is required. It brings together many factories, enterprises and other emission sources. These emission sources will emit waste gas containing volatile organic compounds during normal production operations.

[0060] Historical emission source information refers to the emission records and statistical data of each emission source in the target park over a period of time in the past, such as but not limited to the historical average emissions, emission frequency and emission frequency of each emission source.

[0061] Specifically, due to the lack of comprehensive understanding of the distribution of on-site emission sources and emission intensity, the traditional fixed monitoring or manual sampling methods often have random and subjective sampling point layouts, resulting in blind spots or redundancy in monitoring. In order to overcome this defect, the embodiment of the present application first uses the "historical emission source information" of each emission source in the target park. This information reflects the past emission status of each emission source and the degree of impact on the environment. First, all emission sources with the emission type of volatile organic compounds are used as the initial sampling point range; then, within the initial sampling point range, the emission source with a historical average emission greater than the preset first emission, or an emission frequency greater than the preset first frequency, is determined as the actual sampling point location. By pre-setting the emission and emission frequency thresholds, the "key emission sources" with a greater impact on the regional environment can be automatically screened out and used as sampling points; at the same time, for those emission sources with less emission impact, no sampling points are set up, avoiding the waste and redundancy of monitoring resources. While ensuring the comprehensiveness of monitoring, the effective allocation of monitoring resources is achieved, and the pertinence and efficiency of monitoring are improved. After the location of the sampling point is determined, air samples can be collected at each sampling point. During sampling, this plan adopts differentiated sampling strategies for different sampling points: for key sampling points with higher emissions and frequencies, multiple collection points are arranged around the sampling point to collect air samples to fully reflect the impact range of its emissions; for other sampling points with lower emissions and frequencies, only a single air sample is collected at the center of the point, so that the air samples collected at each sampling point can be obtained.

[0062] Based on the above embodiment, as an optional embodiment, the step of determining multiple sampling points based on the historical emission source information of the target park may also include the following steps:

[0063] Step 1011: taking the emission source of volatile organic compounds as the initial sampling point.

[0064] Specifically, when monitoring the emission of volatile organic compounds in the target park, volatile organic compounds mainly come from various organic solvents, fuels, intermediate products, etc. used or produced in the process of industrial production activities. Therefore, only those emission sources that emit organic waste gas during normal operation are the focus of monitoring. Based on the raw materials, processes, products and other information actually used by each emission source, emission units that emit volatile organic compounds such as organic hydrocarbons, ketones, ethers, etc. can be identified and listed as the candidate range of the initial sampling point, which is ready for further screening of key sampling points with large emission impacts.

[0065] Step 1012: Among the initial sampling points, the emission sources whose historical average emission is greater than the first emission, or whose emission frequency is greater than the first frequency, are selected as sampling points.

[0066] Specifically, the historical average emission refers to the average emission per unit time of each emission source in the past period of time. The emission frequency refers to the frequency of emission activities of the emission source, such as continuous emission or intermittent emission. These two parameters together reflect the degree of impact of the emission source on the regional environment. The greater the emission amount or the higher the emission frequency of the emission source, the more organic matter it emits, and the greater the adverse impact on the regional environment. The embodiment of the present application pre-sets two preset standards, "first emission amount" and "first frequency". Within the range of the initial sampling points, the emission sources with a historical average emission amount greater than the first emission amount, or an emission frequency greater than the first frequency, are determined as actual sampling points. For example, the top 20% of emission sources are used as sampling points, or the emission sources with an emission time of more than 4 hours per day are used as sampling points, etc.

[0067] Based on the above embodiment, as an optional embodiment, the step of determining multiple sampling points based on the historical emission source information of the target park may also include the following steps:

[0068] Step 1021: Among the sampling points, the sampling point whose historical average emission is greater than the second emission and / or whose emission frequency is greater than the second frequency is taken as the first sampling point, and the sampling point whose historical average emission is less than the second emission and whose emission frequency is less than the second frequency is taken as the second sampling point.

[0069] There are differences in emission intensity and frequency for emission sources at different sampling points. If the same sampling strategy is adopted at all sampling points, on the one hand, too many sampling resources may be invested in points with small emission impacts, and on the other hand, there may be a lack of sufficient sampling density around key emission sources. To solve this problem, this application further classifies the sampling points and adopts differentiated sampling strategies.

[0070] Specifically, the second emission amount and the second frequency are pre-set, and the sampling points with historical average emission amount greater than the second emission amount and / or emission frequency greater than the second frequency are determined as the first sampling points, which are also key sampling points, and the sampling points with historical average emission amount less than the second emission amount and emission frequency less than the second frequency are determined as the second sampling points, which are also general sampling points. The reason for this division is: for the first sampling points, due to their large emission amount and high frequency, they represent the areas with the most serious emission impact in the target park, and more intensive sampling is required around these points to fully reflect the scope of regional pollution; while for the second sampling points, their emission amount and frequency are relatively low, and the adverse impact on the regional environment is relatively limited. At these points, only single-point air samples need to be collected, without excessive sampling workload.

[0071] Step 1022: Taking the center of the second sampling point as the collection point position.

[0072] Specifically, for the second type of sampling points, since the corresponding emission sources have low emission amounts and frequencies, and the impact range and intensity on the regional environment are relatively small, in order to both properly cover these low emission sources and avoid investing too many unnecessary sampling resources, the center position of the emission port corresponding to the second sampling point is used as the collection point for air sampling, and air samples are collected at this center point.

[0073] Step 1023: Determine the locations of multiple sampling points according to the historical average emission and emission frequency of the first sampling point.

[0074] Specifically, for the first sampling point, since the corresponding emission source has a large emission volume and a high emission frequency, it represents the area with the most serious impact of organic pollution in the target park. In order to fully reflect the scope and degree of pollution in these key areas, multiple collection points are arranged around the first sampling point to collect air samples, rather than sampling at a single point. The first sampling point corresponds to the historical average emission volume and emission frequency of the emission source. These two parameters jointly determine the emission impact range and diffusion intensity of the emission source. For example, for key sampling points with extremely high historical emissions, a large number of collection point locations are arranged around them at certain intervals to fully reflect the pollution impact of their large-scale diffusion; for key sampling points with high emission frequencies, multiple collection point locations that extend far downwind are arranged to track the pollution diffusion path of their continuous emissions; for key sampling points with both high emissions and high frequencies, multiple collection point locations are arranged around them and at far downwind locations in combination with the above two methods. Through this "multi-point three-dimensional" sampling distribution method, the emission impacts of different intensities and ranges of key emission sources can be reflected in all aspects, making the collected air samples highly representative and accurate.

[0075] Step 1024: Obtain air samples collected at each collection point.

[0076] Specifically, sampling equipment that has been calibrated and verified by standards, such as vacuum sampling cylinders, stainless steel sampling cans, polyvinyl fluoride sampling bags, etc., should be used during sampling to ensure equipment quality and operating specifications. It is also necessary to monitor and record changes in on-site meteorological conditions (wind direction, wind speed, temperature, pressure, etc.) in real time to avoid sampling under adverse meteorological conditions so as not to affect sample quality; for weather that is unfavorable to the atmospheric diffusion model, sampling points can be appropriately increased or sampling times can be adjusted. All information such as the collection time, location, environment, and operator of each sample should be recorded in detail to ensure the traceability of the sample data, so that the cause can be quickly found once the analysis results are abnormal. The collected air samples may include but are not limited to various types of organic volatile pollutants, some inorganic gaseous pollutants, environmental basic gases, and trace particulate matter.

[0077] Step 20: Perform data preprocessing on each air sample to obtain a target air sample.

[0078] Specifically, after obtaining the original air samples from various collection points in the target park, although these original samples contain information on the actual concentration of atmospheric pollutants, they are inevitably mixed with some noise components, such as sampling equipment residues, laboratory environmental interference, etc. These noises will affect the accuracy of subsequent data analysis.

[0079] Since the above-mentioned noise sources may exist in air samples, it is necessary to filter and denoise the original data. Common noise processing methods include wavelet decomposition, Kalman filtering, smoothing filtering, etc. Appropriate algorithms can be selected according to specific data characteristics. Denoising can effectively eliminate discrete noise points and burrs in the data, so that the smoothness of the data is improved. The second is data normalization. Due to the differences in conditions at each sampling point, the absolute concentration values ​​of different pollutants also vary greatly. Direct analysis of these data will cause dimensional inconsistency. Therefore, all data components need to be normalized and dimensionless, and they are uniformly converted to the same numerical interval, such as the 0-1 interval, to avoid mutual influence between data of different magnitudes and increase the applicability of subsequent analysis and calculation. Finally, data smoothing is performed. Even after denoising, there may still be severe segmented discontinuities between some data points due to the influence of random fluctuations. Smoothing can suppress this discrete fluctuation to a certain extent, so that adjacent data points show a trend of smooth transition, reflecting the overall characteristics of the distribution of atmospheric pollutant concentrations. Commonly used smoothing methods include moving average, convolution smoothing and other algorithms.

[0080] After the above-mentioned preprocessing steps, the original air sample data is converted into target air sample data, the interference of noise components is eliminated, and the dimensions of each data component are consistent and smooth and continuous, which effectively improves the accuracy and representativeness of the pollutant concentration information, thereby ensuring the credibility of the monitoring and evaluation results.

[0081] Step 30: Detect the content of volatile organic compounds in each target air sample.

[0082] Specifically, the main sources of air pollutants in industrial parks and chemical parks are the emissions of various volatile organic compounds (VOCs), such as hydrocarbons, halogenated hydrocarbons, aromatic hydrocarbons, etc., and the detection of their concentration levels can directly reflect the air quality of the region. Standard VOCs detection and analysis methods, such as gas chromatography-mass spectrometry (GC-MS), are used with high sensitivity, high selectivity and high accuracy to conduct qualitative and quantitative analysis and detection of target VOCs components in air samples. VOCs compounds of different types and properties are grouped or measured separately to comprehensively monitor the content of various VOCs in air samples. Standardization methods such as internal standard method and external standard method are used, and standard calibration and other means are used to ensure that the quantitative accuracy and reliability of instrument measurement data are obtained. Finally, the types of volatile organic compounds and the corresponding concentration values ​​are obtained, which can be further classified and summarized according to the types and properties of VOCs, such as the total concentration of VOCs in categories such as alkanes, alkenes, and aromatic hydrocarbons, or the concentration of toxic and harmful VOCs of key concern is calculated. In this way, the content level of VOCs in each target air sample can be fully quantified.

[0083] Based on the above embodiment, as an optional embodiment, the step of detecting the content of volatile organic compounds in each target air sample may further include the following steps:

[0084] Step 301: Perform component separation and quantitative analysis on each target air sample to obtain analysis results.

[0085] Specifically, the embodiment of the present application uses gas chromatography-mass spectrometry (GC-MS) to perform full-component component separation and quantitative analysis and detection on air samples. The target air sample is injected into the gas chromatography system through the injection port, and the injection gas is efficiently separated by the chromatographic column, so that different compound components therein are separated into a single peak form. The single component peak enters the mass spectrometer detector at one time, and is ionized and molecularly fragmented in a high vacuum environment; the flight time or mass / charge ratio of the ion flow is detected, and the component is identified according to the characteristic ion peak and the mass spectrum library; the absolute concentration of the component is quantitatively calculated according to the current response value of the known concentration standard combined with the relative response factor; all chromatographic-mass spectrometry signal peaks appearing in each air sample are identified one by one and the component concentration is determined; the laboratory simultaneously monitors the gas path environment, instrument leak detection, and quality control samples to ensure the quality of the detection data, and finally obtains the analysis results of each target air sample, which includes the GC-MS total ion flow spectrum of each air sample, presenting the ion peak signals of all compound components in the sample, the retention time, characteristic ion and molecular weight corresponding to each ion peak signal, etc.

[0086] Step 302: Determine the type of volatile organic compounds and the corresponding concentration value based on the analysis result.

[0087] Specifically, the type of compound is preliminarily determined based on the retention time, characteristic ions and molecular weight of the ion peak in the analysis results; the mass spectrum data of the ion peak is compared and searched with the standard mass spectrum library; the most matching VOCs compound structure is found from the standard library in combination with factors such as chromatographic retention behavior; the molecular formula and systematic naming of the VOCs are determined according to the standard naming rules; according to the VOCs classification standards, it is divided into different VOCs family types such as alkanes, alkenes, and aromatic hydrocarbons. For each ion peak signal, the GC-MS raw data has given its quantitative concentration value and unit; for multiple ion peaks representing the same VOCs, the arithmetic mean of their concentration values ​​is taken; the concentration values ​​of the same VOCs in different air samples are summed up and averaged; for some VOCs families, the VOCs concentration values ​​of all members of the family need to be accumulated and summed; the laboratory simultaneously calculates and evaluates quality control data such as the recovery rate of standard spikes; according to the quality control results, the concentration value is corrected as necessary to ensure the accuracy of the quantitative results. Not only was the list of all VOCs types contained in each target air sample determined, but the average concentration level of each VOC in the target air sample was also obtained, and the concentration values ​​divided by VOCs family were statistically calculated.

[0088] Step 303: Determine the content of the volatile organic compounds in the target air sample according to the concentration values ​​corresponding to the volatile organic compounds.

[0089] Specifically, the concentration values ​​corresponding to each volatile organic compound are added up to obtain the content of the volatile organic compound in the target air sample.

[0090] Step 40: Calculate the emission hazard value of the target park based on the emission source characteristics of each sampling point and the content of each volatile organic compound.

[0091] In the embodiment of the present application, emission source characteristics refer to a series of parameters and characteristic information that comprehensively describe and quantify the emission outlets and emission behaviors of each emission source, including but not limited to: emission outlet area, emission outlet hazard level, and emission duration.

[0092] Specifically, after completing the sampling analysis, the content of volatile organic compounds at each sampling point was obtained, and at the same time, the emission source characteristics of each emission source in the industrial park were also obtained. The simple volatile organic compound content is difficult to directly reflect its hazard level, and the "emission hazard value" is quantified as a numerical indicator, which is convenient for comparison with the standard value and more intuitively judges the emission risk level. Substitute the emission port area, emission port hazard level, emission duration and volatile organic compound content in the emission source characteristics into the hazard value calculation formula to obtain the emission hazard value of the target park. Among them, the emission port area refers to the cross-sectional area of ​​the emission port of each emission source, usually in square meters (m2) as a unit, which reflects the emission capacity and ventilation volume of the emission port. The larger the area, the greater the emission volume. The emission port hazard level is a hazard level evaluation set for the emission port based on the main pollutant types and concentration levels emitted by each emission port, combined with relevant national standards (such as the "Volatile Organic Compound Emission Standards", etc.). The emission duration refers to the total time of the actual fixed emission production of the emission port, including the cumulative sum of continuous emission duration and intermittent emission duration.

[0093] The formula for calculating the hazard value is:

[0094]

[0095] In the formula, E is the emission hazard value, n is the number of sampling points, and E i is the emission hazard value of the i-th sampling point, S i is the discharge outlet area of ​​the i-th sampling point, S max is the maximum discharge outlet area among all sampling points, R i is the hazard level of the discharge port, T i is the emission duration, T max is the maximum emission duration among all sampling points, C i is the content of volatile organic compounds at the i-th sampling point, C max is the maximum value of volatile organic compounds in all sampling points, D i is the diffusion coefficient of the ith sampling point, H i is the hazard coefficient of the i-th sampling point.

[0096] The hazard value calculation formula first needs to calculate the emission hazard value of each sampling point. The formula comprehensively considers factors such as the emission port area, emission port hazard level, emission duration, volatile organic compound content, diffusion coefficient and hazard coefficient. Specifically, first The discharge outlet area is normalized and logarithmically transformed. Normalization makes the area values ​​comparable on the same scale. Logarithmic transformation (adding 1 to avoid logarithmic 0) is used to smooth the data and reduce the impact of extreme values. iDirectly participate in the multiplication operation to represent the relative risk of the sampling point. To make the duration values ​​comparable on the same scale, the volatile organic compound content was normalized and logarithmically transformed. Similarly, normalization makes the content values ​​comparable on the same scale, and logarithmic transformation (adding 1 to avoid logarithmic zero) is used to smooth the data and reduce the influence of extreme values. It means that the greater the diffusion capacity, the smaller the harm, and finally multiply it by the harm coefficient H i , which indicates the potential harm coefficient of a specific substance or pollutant to the environment and human health.

[0097] Last passed The geometric mean is used to calculate the overall emission hazard value E of the target park. The geometric mean is suitable for processing a set of relative values. Especially when the data contains parameters of different magnitudes, the geometric mean can more objectively reflect the overall level and avoid the excessive influence of a single extreme value on the result.

[0098] The formula is designed to comprehensively evaluate multiple parameters of each sampling point. Normalization ensures that the parameters are compared on the same scale to avoid imbalance due to different dimensions. Logarithmic transformation can smooth the data and reduce the impact of extreme values, making the calculation results more stable. The calculation formula provides an overall hazard value, which makes the evaluation results more comprehensive and accurate by considering the area of ​​the emission port, the hazard level of the emission port, the duration of emission, the content of volatile organic compounds, the diffusion coefficient and the hazard coefficient.

[0099] Step 50: When the emission hazard value is greater than the hazard threshold, a warning prompt is issued.

[0100] Specifically, in combination with the relevant national or local emission standard limits, or the control targets during the park planning environmental assessment, the threshold classification standards for the "emission hazard value" are set, such as 180 for the second-level warning threshold, 300 for the first-level warning threshold, etc. The calculated "emission hazard value" is compared with the preset threshold standards of each level to determine whether it exceeds a certain threshold level. According to the specific threshold level exceeded, the warning level that should be issued this time is confirmed, such as issuing a yellow warning, a red warning, etc.

[0101] Based on the above embodiment, as an optional embodiment, a method for monitoring volatile organic compounds further includes the following process:

[0102] Specifically, in order to effectively control the emission of volatile organic compounds and reduce the harm to the environment and human health, this embodiment optimizes the subsequent processing after the early warning: first, based on the content of volatile organic compounds detected in each sampling point, the specific emission control measures for the corresponding sampling point are determined. For example, if the volatile organic content of a sampling point is high, it means that there may be a problem with the emission source corresponding to the point. At this time, it will be proposed to reduce the operating load of the emission source or optimize its process parameters to reduce the generation and emission of volatile organic compounds. For sampling points with particularly high content, it can also be suggested to adopt a closed collection method to collect and recycle volatile organic compounds to avoid direct discharge into the environment. Then, after making emission control suggestions, the system will continue to monitor the emission hazard value of the target park. If the monitoring still finds that the emission hazard value is greater than the hazard threshold within a preset time (for example, 5 hours), it means that the emission control measures taken are not enough to reduce the overall emission risk of the park. At this time, it is necessary to issue a regional evacuation warning, and it is recommended that relevant personnel evacuate immediately to avoid further exposure to volatile organic compounds, thereby maximizing the protection of human health.

[0103] See also Figure 2 , is a module diagram of a volatile organic compound monitoring system provided in an embodiment of the present application, the volatile organic compound monitoring system may include: a sample collection module, a pretreatment module, a content detection module, a hazard value calculation module and an early warning module, wherein:

[0104] A sample collection module, used to determine multiple sampling points based on the historical emission source information of the target park, and obtain air samples collected at each of the sampling points;

[0105] A preprocessing module, used for performing data preprocessing on each of the air samples to obtain a target air sample;

[0106] A content detection module, used to detect the content of volatile organic compounds in each of the target air samples;

[0107] A hazard value calculation module, used to calculate the emission hazard value of the target park in combination with the emission source characteristics of each sampling point and the content of each volatile organic compound;

[0108] The early warning module is used to issue an early warning prompt when the emission hazard value is greater than the hazard threshold.

[0109] Optionally, the sample collection module is further used to use the emission source whose emission type is volatile organic compounds as the initial sampling point; and among the initial sampling points, the emission source whose historical average emission is greater than the first emission, or whose emission frequency is greater than the first frequency, as the sampling point.

[0110] Optionally, the sample collection module is also used to, among the sampling points, take the sampling point where the historical average emission is greater than the second emission, and / or the emission frequency is greater than the second frequency as the first sampling point, and take the sampling point where the historical average emission is less than the second emission and the emission frequency is less than the second frequency as the second sampling point; take the center of the second sampling point as the collection point position; determine multiple collection point positions based on the historical average emission and emission frequency of the first sampling point; and obtain air samples collected at each of the collection point positions.

[0111] Optionally, the preprocessing module is further used to perform data denoising on each of the air samples to obtain denoised data; and perform normalization and smoothing on the denoised data in sequence to obtain a target air sample.

[0112] Optionally, the content detection module is also used to perform component separation and quantitative analysis on each of the target air samples to obtain analysis results; determine the type of volatile organic compounds and the corresponding concentration values ​​based on the analysis results; and determine the content of volatile organic compounds in the target air samples according to the concentration values ​​corresponding to each of the volatile organic compounds.

[0113] Optionally, the hazard value calculation module is further used to substitute the discharge port area, discharge port hazard level, discharge duration and volatile organic compound content of each sampling point into the hazard value calculation formula to obtain the emission hazard value of the target park;

[0114] The hazard value calculation formula is:

[0115]

[0116]

[0117] In the formula, E is the emission hazard value, n is the number of sampling points, and E i is the emission hazard value of the i-th sampling point, S i is the discharge outlet area of ​​the i-th sampling point, S max is the maximum discharge outlet area among all sampling points, R i is the hazard level of the discharge port, T i is the emission duration, T max is the maximum emission duration among all sampling points, C i is the content of volatile organic compounds at the i-th sampling point, C max is the maximum value of volatile organic compounds in all sampling points, D i is the diffusion coefficient of the ith sampling point, H i is the hazard coefficient of the i-th sampling point.

[0118] Optionally, a volatile organic compound monitoring system also includes a suggestion generation module, which is used to determine emission control suggestions for corresponding sampling points based on the content of volatile organic compound emissions in each of the sampling points, and the emission control suggestions include at least one of reducing the operating load of the emission source, optimizing process parameters, and closed collection; after a preset period of time, if the emission hazard value is greater than the hazard threshold, an area evacuation warning is issued.

[0119] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0120] An embodiment of the present application also provides a computer storage medium, which can store multiple instructions. The instructions are suitable for being loaded by a processor and executing a volatile organic compound monitoring method of the above embodiment. The specific execution process can be found in the specific description of the above embodiment, which will not be repeated here.

[0121] Please refer to Figure 3 The application also discloses an electronic device. Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0122] The communication bus 302 is used to realize the connection and communication between these components.

[0123] The user interface 303 may include a display screen (Display) and a camera (Camera). The optional user interface 303 may also include a standard wired interface and a wireless interface.

[0124] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0125] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0126] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program for a method for monitoring volatile organic compounds.

[0127] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program storing a volatile organic compound monitoring method in the memory 305, and when executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0128] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0129] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0130] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0131] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0132] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0133] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0134] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for monitoring volatile organic compounds, characterized in that: The method comprises: Determine multiple sampling points based on historical emission source information of the target park, and obtain air samples collected at each of the sampling points; Performing data preprocessing on each of the air samples to obtain a target air sample; Detecting the content of volatile organic compounds in each of the target air samples; Calculate the emission hazard value of the target park by combining the emission source characteristics of each sampling point and the content of each volatile organic compound; Among them, the emission source characteristics include the emission port area, emission port hazard level and emission duration. The emission hazard value of the target park is calculated by combining the emission source characteristics of each sampling point and the content of each volatile organic compound, including: Substituting the discharge port area, discharge port hazard level, discharge duration and volatile organic compound content of each sampling point into the hazard value calculation formula to obtain the emission hazard value of the target park; The hazard value calculation formula is: In the formula, E is the emission hazard value, n is the number of sampling points, and E i is the emission hazard value of the i-th sampling point, S i is the discharge outlet area of ​​the i-th sampling point, S max is the maximum discharge outlet area among all sampling points, R i is the hazard level of the discharge port, T i is the emission duration, T max is the maximum emission duration among all sampling points, C i is the content of volatile organic compounds at the i-th sampling point, C max is the maximum value of volatile organic compounds in all sampling points, D i is the diffusion coefficient of the ith sampling point, H i is the hazard coefficient of the i-th sampling point; When the emission hazard value is greater than the hazard threshold, an early warning prompt is issued.

2. The method for monitoring volatile organic compounds according to claim 1, characterized in that: The historical emission source information includes the historical average emission amount, emission frequency and emission type of each emission source. The multiple sampling points are determined based on the historical emission source information of the target park, including: The emission source of the emission type of volatile organic compounds is used as the initial sampling point; Among the initial sampling points, the emission sources whose historical average emission amount is greater than the first emission amount or whose emission frequency is greater than the first frequency are taken as sampling points.

3. The method for monitoring volatile organic compounds according to claim 2, characterized in that: The obtaining of air samples collected at each of the sampling points comprises: Among the sampling points, a sampling point where the historical average emission amount is greater than the second emission amount and / or the emission frequency is greater than the second frequency is taken as a first sampling point, and a sampling point where the historical average emission amount is less than the second emission amount and the emission frequency is less than the second frequency is taken as a second sampling point; Taking the center of the second sampling point as the collection point position; Determine the locations of multiple sampling points according to the historical average emission and emission frequency of the first sampling point; The air samples collected at each of the collection points are obtained.

4. The method for monitoring volatile organic compounds according to claim 1, characterized in that: The performing data preprocessing on each of the air samples to obtain a target air sample includes: Performing data denoising processing on each of the air samples to obtain denoised data; The denoised data is normalized and smoothed in sequence to obtain a target air sample.

5. The method for monitoring volatile organic compounds according to claim 1, characterized in that: The detecting the content of volatile organic compounds in each of the target air samples comprises: Performing component separation and quantitative analysis on each of the target air samples to obtain analysis results; Determining the type of volatile organic compounds and corresponding concentration values ​​based on the analysis results; The content of the volatile organic compounds in the target air sample is determined according to the concentration values ​​corresponding to the volatile organic compounds.

6. The method for monitoring volatile organic compounds according to claim 1, characterized in that: When the emission hazard value is greater than the hazard threshold, after issuing a warning prompt, the method further includes: Based on the content of volatile organic compound emissions in each of the sampling points, determining emission control suggestions for the corresponding sampling points, wherein the emission control suggestions include at least one of reducing the operating load of the emission source, optimizing process parameters, and closed collection; After a preset period of time, if the emission hazard value is greater than the hazard threshold, an area evacuation warning is issued.

7. A volatile organic compound monitoring system, characterized in that: The system comprises: A sample collection module, used to determine multiple sampling points based on the historical emission source information of the target park, and obtain air samples collected at each of the sampling points; A preprocessing module, used for performing data preprocessing on each of the air samples to obtain a target air sample; A content detection module, used to detect the content of volatile organic compounds in each of the target air samples; A hazard value calculation module, used to calculate the emission hazard value of the target park in combination with the emission source characteristics of each sampling point and the content of each volatile organic compound; wherein the emission source characteristics include the emission port area, the emission port hazard level and the emission duration, and the emission hazard value of the target park in combination with the emission source characteristics of each sampling point and the content of each volatile organic compound, comprises: substituting the emission port area, the emission port hazard level, the emission duration and the content of the volatile organic compound of each sampling point into the hazard value calculation formula to obtain the emission hazard value of the target park; The hazard value calculation formula is: In the formula, E is the emission hazard value, n is the number of sampling points, and E i is the emission hazard value of the i-th sampling point, S i is the discharge outlet area of ​​the i-th sampling point, S max is the maximum discharge outlet area among all sampling points, R i is the hazard level of the discharge port, T i is the emission duration, T max is the maximum emission duration among all sampling points, C i is the content of volatile organic compounds at the i-th sampling point, C max is the maximum value of volatile organic compounds in all sampling points, D i is the diffusion coefficient of the ith sampling point, H i is the hazard coefficient of the i-th sampling point; The early warning module is used to issue an early warning prompt when the emission hazard value is greater than the hazard threshold.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 6.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-6.

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