CN114113466A - Method and device for establishing fingerprint spectrum of volatile organic compound of production device - Google Patents
Method and device for establishing fingerprint spectrum of volatile organic compound of production device Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for establishing a fingerprint spectrum of volatile organic compounds of a production device, belonging to the field of pollution monitoring. The method comprises the following steps: analyzing the volatile organic compound samples collected at the sampling points to obtain sample data for each of the sampling points; processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position to eliminate the sampling point positions which do not meet preset conditions and the volatile organic compounds; determining the average concentration and the proportion of each volatile organic matter based on the remaining sampling point positions after treatment and the volatile organic matters, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the sum of the first total concentration of the remaining volatile organic matters; and establishing the fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound. Therefore, the establishment of the fingerprint spectrum is realized.
Description
Technical Field
The invention relates to the field of pollution monitoring, in particular to a method and a device for establishing a fingerprint spectrum of volatile organic compounds of a production device.
Background
Volatile Organic Compounds (VOCs) are Organic Compounds having a saturated vapor pressure of more than 133.3Pa at normal temperature or a boiling point of 260 ℃ or less at normal pressure, mainly include three major classes, namely aliphatic hydrocarbons, aromatic hydrocarbons and polar Organic Compounds, and are important precursor substances for forming PM2.5 and ozone pollution. VOCs with photochemical activity destroy the circulation of ozone and OH free radicals under certain conditions, induce the generation of photochemical smog, and participate in physicochemical reaction to generate secondary organic aerosol. Some VOCs have strong toxicity and carcinogenic possibility, and various VOCs such as benzene, formaldehyde, 1, 3-butadiene and the like are listed as carcinogenic substances by the international center for cancer research and seriously harm human health. Since VOCs have negative effects on atmospheric ozone, secondary organic aerosol and human health, and meanwhile, with the acceleration of the industrialization process of China, the environmental pollution, especially the problem of atmospheric pollution, is more and more serious, VOCs gradually become key atmospheric pollutants which are widely concerned after sulfur dioxide and nitrogen oxides.
The sources of VOCs are wide and complex, and the discharge of VOCs in different areas and different industries is greatly different. Industrial sources are one of the important sources of emissions of VOCs, with the total volume of VOCs emitted by the petrochemical industry being the highest percentage. VOCs that oil refining enterprises brought discharges because the apparatus quantity is many and relatively complicated, and the difference of technology leads to the material kind to differ great. The discharge conditions of VOCs of different refinery enterprises are different under the influence of the quality, source, process and geographical position of crude oil; the VOCs discharged in different production stages of the same production device of the same enterprise under normal and abnormal working conditions also have great difference. Based on the characteristics of VOCs emission in the petrochemical industry and the fact that the problem of air pollution is more serious, a plurality of national policy regulations definitely require strengthening the pollution control of VOCs. The environmental protection department requires the comprehensive improvement of VOCs in the petrochemical industry in the national range in the comprehensive improvement scheme of volatile organic compounds in the petrochemical industry released in 2014, carries out investigation on the VOCs emission amount and the VOCs substance list in the petrochemical industry, and finds out the VOCs emission condition of enterprises. In 2019, the ecological environment department issues a comprehensive treatment scheme for key industrial volatile organic compounds, petrochemical industrial parks and industrial clusters are clearly proposed, a sound archive management system needs to be established, the VOCs source spectrum of enterprises is clear, and characteristic pollutants are identified.
The fingerprint of the production devices of the refinery enterprises is based on a large amount of field monitoring data, a group of substances and corresponding concentration data thereof are extracted from the data by a serialized data processing and multivariate statistical method, the full view of VOCs of the petrochemical enterprises is disclosed, the pollution characteristic of each production device is represented by the action of an identity card, and the fingerprint has important guiding significance for identifying key management and control objects of the enterprises. Since petroleum refineries are one of the important industrial emission sources, in the past research, refineries are taken as a whole, the emission condition of VOCs in the factory is concerned, and the measurement of the content and concentration of VOCs in the environmental air in the factory is carried out. The research on the VOCs pollution characteristics and the fingerprint of each production device of the refining enterprise is still deficient, and particularly the research on VOCs source emission corresponding to the production process and the production working condition is lacking. A small amount of documents only research VOCs pollution characteristics of sewage treatment plants, storage tanks and main oil refining devices, the quantity of samples collected by each device in the research process is small, the discharge characteristics of the production device are difficult to completely reflect, and meanwhile, the analysis and the processing of sampling positions and data do not form a standard, which also influences the accuracy of VOCs fingerprint spectrums of the production device.
Disclosure of Invention
The object of the present invention is to provide a method and a device for creating fingerprints of volatile organic compounds of a production device, which solve, or at least partially solve, the above-mentioned technical problems.
In order to achieve the above object, one aspect of the present invention provides a method for creating a fingerprint of volatile organic compounds in a production apparatus, the method comprising: analyzing the samples of the volatile organic compounds collected at the sampling points to obtain sample data for each sampling point, wherein the sample data includes the types of the volatile organic compounds and the concentration of each volatile organic compound; processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position to eliminate the sampling point positions which do not meet preset conditions and the volatile organic compounds; determining the average concentration and the proportion of each volatile organic matter based on the remaining sampling point positions after treatment and the volatile organic matters, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the sum of the first total concentration of the remaining volatile organic matters; and establishing the fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound.
Optionally, the processing based on all the sampling points and the sample data corresponding to each sampling point includes: taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method; based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and the sampling point position of which the load value is greater than a first preset load value in the reserved factor; analyzing the sample data corresponding to the retained sampling point positions and each of the retained sampling point positions on the basis of each volatile organic compound and the concentration corresponding to the volatile organic compound as variables and each sampling point position as a case, and obtaining a second rotation component matrix and a second total variance interpretation through the preset method; and retaining a factor for which the cumulative contribution rate reaches a second predetermined cumulative contribution rate and the volatile organic compounds having a loading value greater than a second predetermined loading value among the retained factors based on the second rotation component matrix and the second total variance interpretation.
Optionally, the preset method is an orthogonal maximum variance method.
Optionally, before the processing based on all the sampling points and the sample data corresponding to each of the sampling points, the method further includes: for each sampling point, judging whether the sample data is valid; and under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sample data corresponding to the sampling point, wherein the processing based on all the sampling points and the sample data corresponding to each sampling point is performed based on the sample data judged to be valid and the sampling point corresponding to each sample data judged to be valid.
Optionally, the determining whether the sample data is valid for each of the sampling points comprises: calculating a second total concentration sum of the volatile organic compounds for each sampling point; calculating the average concentration of each volatile organic compound; removing the volatile organic compounds with the average concentration within a preset concentration range; calculating a third total concentration sum of the volatile organic compounds which are left after being removed aiming at each sampling point; calculating a second percentage of the second total concentration sum to the third total concentration sum for each of the sampling points; and for each sampling point position, judging whether the sample data is valid or not based on the second percentage and a preset percentage range.
Accordingly, in another aspect, the present invention provides an apparatus for creating a fingerprint of volatile organic compounds in a production facility, the apparatus comprising: the analysis module is used for analyzing the samples of the volatile organic compounds collected on the sampling points to obtain sample data aiming at each sampling point, wherein the sample data comprises the types of the volatile organic compounds and the concentration of each type of the volatile organic compounds; the processing module is used for processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position so as to eliminate the sampling point positions which do not meet the preset condition and the volatile organic compounds; the determining module is used for determining the average concentration and the proportion of each volatile organic matter on the basis of the remaining sampling point positions after the processing and the volatile organic matters, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the first total concentration sum of the remaining volatile organic matters; and the establishing module is used for establishing the fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound.
Optionally, the processing module performs processing based on all sampling points and the sample data corresponding to each sampling point, including: taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method; based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and the sampling point position of which the load value is greater than a first preset load value in the reserved factor; analyzing the sample data corresponding to the retained sampling point positions and each of the retained sampling point positions on the basis of each volatile organic compound and the concentration corresponding to the volatile organic compound as variables and each sampling point position as a case, and obtaining a second rotation component matrix and a second total variance interpretation through the preset method; and retaining a factor for which the cumulative contribution rate reaches a second predetermined cumulative contribution rate and the volatile organic compounds having a loading value greater than a second predetermined loading value among the retained factors based on the second rotation component matrix and the second total variance interpretation.
Optionally, the preset method is an orthogonal maximum variance method.
Optionally, the processing module is further configured to determine, for each sampling point, whether the sample data is valid before the processing is performed based on all the sampling points and the sample data corresponding to each sampling point; and under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sample data corresponding to the sampling point, wherein the processing based on all the sampling points and the sample data corresponding to each sampling point is performed based on the sample data judged to be valid and the sampling point corresponding to each sample data judged to be valid.
Optionally, the determining whether the sample data is valid for each of the sampling points comprises: calculating a second total concentration sum of the volatile organic compounds for each sampling point; calculating the average concentration of each volatile organic compound; removing the volatile organic compounds with the average concentration within a preset concentration range; calculating a third total concentration sum of the volatile organic compounds which are left after being removed aiming at each sampling point; calculating a second percentage of the second total concentration sum to the third total concentration sum for each of the sampling points; and for each sampling point position, judging whether the sample data is valid or not based on the second percentage and a preset percentage range.
In addition, another aspect of the present invention also provides a machine-readable storage medium having stored thereon instructions for causing a machine to execute the above-mentioned method.
In addition, another aspect of the present invention also provides a processor for executing a program, wherein the program is executed to perform the above method.
Through the technical scheme, the fingerprint is established by processing the sample data of each sampling point position around the same production device, the analysis and the processing of the sample data form a standard, and the accuracy of the fingerprint is improved.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a method for creating a fingerprint of volatile organic compounds in a manufacturing facility according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a sampling point location according to another embodiment of the present invention;
FIG. 3 is a rotated component matrix diagram of an atmospheric and vacuum distillation unit according to another embodiment of the present invention;
FIG. 4 is a diagram illustrating the total variance of the atmospheric and vacuum distillation unit according to another embodiment of the present invention;
FIG. 5 is a rotated component matrix diagram of an atmospheric and vacuum distillation unit according to another embodiment of the present invention;
FIG. 6 is a diagram illustrating the total variance of the atmospheric and vacuum distillation unit according to another embodiment of the present invention;
FIG. 7 is a fingerprint of an atmospheric and vacuum device according to another embodiment of the present invention;
FIG. 8 is a diagram of an approximation matrix provided by another embodiment of the present invention; and
fig. 9 is a block diagram of an apparatus for creating a fingerprint of volatile organic compounds in a production apparatus according to another embodiment of the present invention.
Description of the reference numerals
1 analysis Module 2 processing Module
3 determining module 4 establishing module
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
One aspect of an embodiment of the present invention provides a method for creating a fingerprint of volatile organic compounds in a production facility.
Fig. 1 is a flowchart of a method for creating a fingerprint of volatile organic compounds in a production apparatus according to an embodiment of the present invention. As shown in fig. 1, the method includes the following.
In step S10, the sample of the volatile organic compounds collected at the sampling site is analyzed to obtain sample data for each sampling site, wherein the sample data includes the type of the volatile organic compounds and the concentration of each volatile organic compound.
In particular, a sample is analyzed using a sampling analysis system to obtain sample data. Through the analysis of the sampling analysis system, each sampling point corresponds to one sample data, and each sample data comprises several kinds of volatile organic compounds in total and the concentration of each kind of volatile organic compound. For example, the offline analysis method of VOCs (volatile organic compounds) refers TO the TO-15 method recommended by the United states environmental protection agency (US EPA), and adopts a pre-concentration-GC-MS or pre-concentration-GC-TOF combined analysis system TO quantitatively analyze 107 volatile organic compounds in the range of C2-C12 in PAMS + TO15, and the volatile organic compounds generally cover various types of substances such as alkanes, alkenes, benzenes, halogenated hydrocarbons, oxygen-containing compounds and the like.
In addition, in the embodiment of the present invention, the setting of the sampling points may be determined according to specific situations, and the number and the positions of the sampling points are set according to the specific situations, which is not limited in the present invention. Generally, the sampling point position is set in the downwind direction, and whether the upwind sampling point is set or not can be determined according to specific conditions. For example, in the case of setting up upwind sampling point, can reject the material according to upwind and downwind material concentration relation, for example, reject the material that downwind concentration is far less than upwind concentration to make the material scope reduce, the material kind that contains in the fingerprint is more accurate, more can reflect the VOCs pollution characteristics who corresponds apparatus for producing. In addition, the sample collection can be carried out by using a suma tank, and the sampling height, the sampling flow, the collection time and the like can be set according to specific conditions, so that the invention is not limited. Fig. 2 illustrates an example of setting sampling points. As shown in fig. 2, sample collection occurs primarily around the device boundary. The upwind direction sets up 1 sampling point of background, and the downwind direction sets up 5 sampling points. Both the background and downwind sampling points 1/2/3 were about 5m from the device boundary, and 1/2/3 was able to evenly cover the device boundary. 4 and 5 are located at the 4-quantile point of the downwind semicircular area. The sampling period is not less than one week, wherein the longer the acquisition period, the more data are acquired, the more accurate the established fingerprint is, but the acquisition period is not limited. Alternatively, in the embodiment of the invention, the number of samples can be not less than 20 in multiple cycles around the same device, so that the situation that the actual situation cannot be completely reflected due to too small number of samples is prevented. The sample collection is carried out under the condition of calm wind or breeze, and the sampling is not carried out in rainy and snowy days. The sample was collected using a 3.2L Permai jar at a sampling height of 1.5m, a sampling flow rate of 50mL/min, and a collection time of 1 hour.
In addition, for quality control and assurance, the suma jars were purged 3 times with high purity nitrogen and evacuated before use via a jar cleaner and the degree of vacuum was checked before sample collection. And extracting 1 cleaned Suma jars in each batch, and filling high-purity nitrogen as blank detection. In order to ensure the accuracy of GC-MS/GC-TOF qualitative and quantitative data, the running state of the system needs to be checked before a sample is analyzed, and the sample detection can be carried out after the running state meets the requirements. Before sample analysis, an instrument blank test is carried out to ensure that the analysis system is free from pollution. And (3) carrying out single-point quality control by using a TO15 and PAMS mixed standard gas every week, wherein the deviation between the actual calibration concentration of more than 80% of substances and the theoretical concentration is less than 15%, considering that a correction curve is effective, and carrying out multipoint correction again if the actual calibration concentration of more than 80% of substances exceeds the theoretical concentration. And (3) establishing a VOCs quantitative standard working curve by adopting 6 concentration gradient mixed standard samples, wherein the correlation factors of the standard curve are all larger than 0.99.
In step S11, processing is performed based on all the sampling points and the sample data corresponding to each of the sampling points to eliminate sampling points and volatile organic compounds that do not satisfy the preset condition. After the sampling point locations and volatile organic compounds which do not meet the preset conditions are removed, the types of substances contained in the fingerprint are more accurate, the VOCs pollution characteristics of the production units can be reflected, and meanwhile, the data processing efficiency in the fingerprint establishing process can be improved.
In step S12, an average concentration and a ratio of each volatile organic compound is determined based on the remaining sample sites and the volatile organic compounds after the processing, wherein the ratio is a first percentage of the average concentration of each volatile organic compound to the first total concentration sum of the remaining volatile organic compounds. After the volatile organic compounds are removed, the average concentration of the volatile organic compounds is obtained by adding and dividing the concentration of the volatile organic compounds corresponding to all sampling points with the volatile organic compounds by the number of the sampling points. And adding the average concentration of all the remaining volatile organic compounds to obtain a first total concentration sum. Dividing the average concentration of each volatile organic by the first total concentration sum, the corresponding first percentage of that volatile organic. Further, in the embodiment of the present invention, in calculating the average concentration of each substance, it may be to calculate a truncated average value, for example, a 5% truncated average value. Specifically, for each volatile organic, all concentrations of the substance are sorted, specifically, sorted in descending or ascending order, 5% of the minimum end and 5% of the maximum end of the sequence are removed, and the remaining concentrations are averaged. For example, the number of concentration values of a certain substance is 20, the concentration values of the substance are arranged in descending order or ascending order, the minimum value which is 5% of the minimum end of the sequence and the maximum value which is 5% of the maximum end of the sequence are removed, and the remaining concentration values are averaged to obtain the truncated average concentration of the substance. And summing the truncated average concentration of all the substances to obtain the truncated average concentration sum of all the substances, calculating the ratio of the truncated average concentration of each substance to the truncated average concentration sum of all the substances, and establishing a fingerprint spectrum on the basis of each substance and the ratio corresponding to the substance. In addition, substances with smaller proportion can be removed, for example, substances with proportion not less than 0.5% and the percentage thereof are selected as fingerprint.
In step S13, a fingerprint is created based on each volatile organic compound and the ratio of the volatile organic compounds.
Through the technical scheme, the fingerprint is established by processing the sample data of each sampling point position around the same production device, the analysis and the processing of the sample data form a standard, and the accuracy of the fingerprint is improved.
Optionally, in this embodiment of the present invention, the processing based on all the sampling points and the sample data corresponding to each sampling point includes: taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method; based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and a sampling point position of which the load value is greater than a first preset load value in the reserved factor; analyzing the sample point positions as individual cases by taking the reserved sampling point positions and the sample data corresponding to each sampling point position in the reserved sampling point positions as the basis, taking each volatile organic compound and the concentration corresponding to the volatile organic compound as variables, and obtaining a second rotation component matrix and a second total variance explanation by a preset method; and reserving the factors of which the cumulative contribution rate reaches the second preset cumulative contribution rate and the volatile organic compounds of which the load values are larger than the second preset load value in the reserved factors on the basis of the second rotation component matrix and the second total variance interpretation. Alternatively, in the embodiment of the present invention, the preset method may be an orthogonal maximum variance method.
For example, taking the sampling point as a variable and the concentration of the volatile organic compound as a case, performing factor analysis, and obtaining a rotation component matrix by an orthogonal maximum variance method; and calculating the accumulated contribution rate from the first factor, and reserving the sampling points with the load value larger than 0.5 in all factors with the accumulated contribution rate of 80 percent. In addition, if a certain sampling point appears in a plurality of factors at the same time, the point is judged to belong to the factor with the larger factor load absolute value according to the size of the factor load absolute value. This step is accomplished by programming with existing mature software or matlab, python, etc.
By the elimination of the sampling point locations, based on the remaining sampling point locations and the sample data corresponding to each of the remaining sampling point locations, the substance and the concentration are used as variables, the sampling point locations are used as individual cases, factor analysis is performed, and a rotational component matrix is obtained by an orthogonal maximum variance method. And calculating the accumulated contribution rate from the first factor, and keeping the substances with the load value larger than 0.5 in all factors with the accumulated contribution rate reaching 80 percent. In addition, if a certain substance appears in a plurality of factors at the same time, the substance should be attributed to the factor with the larger factor load absolute value according to the judgment of the size of the factor load absolute value. This step is accomplished by programming with existing mature software or matlab, python, etc.
Optionally, in the embodiment of the present invention, it may also be determined whether the sample data is valid, and invalid sample data is removed, and the valid sample data is processed to establish the fingerprint.
Specifically, before the processing is performed based on all the sampling points and the sample data corresponding to each sampling point, the method further includes: judging whether the sample data is valid or not according to each sampling point; and under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sampling point as corresponding sample data, wherein the processing is performed on the basis of all the sampling points and the sample data corresponding to each sampling point as the basis of the sample data judged to be valid and the sampling point corresponding to each sample data judged to be valid.
Optionally, in an embodiment of the present invention, there are many methods for determining whether the sample data is valid, and specifically, determining whether the sample data is valid for each sampling point includes: calculating a second total concentration sum of the volatile organic compounds for each sampling point; calculating the average concentration of each volatile organic compound; volatile organic compounds with the average concentration within a preset concentration range are removed; calculating a third total concentration sum of the removed residual volatile organic compounds for each sampling point; calculating a second percentage of the second total concentration sum to the third total concentration sum for each sampling point; and judging whether the sample data is valid or not based on the second percentage and a preset percentage range aiming at each sampling point position.
For example, the same device sample data is summarized, i.e., sample data is obtained by analyzing the sample, e.g., by an analysis system, the sample data is summarized, and the total concentration of volatile organic compounds TVOC is calculated for each sample site1That is, for each sampling point, the concentrations of all the volatile organic compounds are summed to obtain the total concentration TVOC1. After the summation, the average value of the maximum and minimum values removed by each substance is calculated respectively, that is, the maximum value and the minimum value are removed from all the concentrations corresponding to each substance, and the sum of the remaining concentration values is divided by the number of the remaining concentration values (that is, the number of sampling points corresponding to the remaining concentration values) to obtain the average value. Based on the average concentration calculated in this manner, the average concentration was set to (0-2). mu.g/m3Wherein the concentration value range can be determined according to specific conditions. Calculating the concentration of the residual substances and TVOC at each point2. If a certain sampling point is located, the residual substance concentration and TVOC2Account for TVOC1If the ratio of the sampling point to the sampling point is within (85-100)% interval, judging that the sample data processing of the sampling point is effective, namely judging that the sample data of the sampling point is effective; otherwise, it is determined to be invalid. Wherein, the interval of (85-100)% can be changed according to specific situations.
The method for creating a fingerprint of volatile organic compounds in a production apparatus according to an embodiment of the present invention is described with reference to fig. 3 to 6. In order to complete the establishment of the VOCs fingerprints of the production device, the steps of sample collection, analysis, data processing and fingerprint establishment are required.
Deep research refining enterprise VOCs pollution characteristics develop long-period actual monitoring, and it is significant to establish representative apparatus for producing fingerprint map to provide the basis for constructing the pollution characteristic database and realizing the accurate traceability of VOCs, also provide data support for the fine management and the control and management of targeted VOCs of enterprise. In the embodiment of the invention, the method for establishing the VOCs fingerprint spectrum of the production device of the refining enterprise is provided, the VOCs fingerprint spectrum representing the pollution characteristic of the production device is obtained through preprocessing and screening of data and superposition processing of multiple factor analysis based on multiple groups of data collected around the device in different wind directions, and a foundation is provided for construction of a VOCs pollution characteristic database of the production device and accurate traceability analysis in the refining enterprise. In these, VOCs represent Volatile Organic Compounds (VOCs).
The method provided by the embodiment of the invention is suitable for establishing the fingerprint of the production device of the refining enterprise, and the method provided by the embodiment of the invention is explained by introducing the establishment of the fingerprint of the atmospheric and vacuum device and the fingerprint of the reforming device, but the invention is not limited to the establishment of the fingerprint.
Example 1: by taking the atmospheric pressure reduction device as an example, the VOCs fingerprint of the atmospheric pressure reduction device is established
22 samples were collected on site at the atmospheric and vacuum unit boundaries and numbered 78-95 and 248- & 251. The sampling is carried out under the condition of calm wind or breeze, a 3.2L Suma tank is used, the sampling height is 1.5m, the sampling flow is 50mL/min, and the acquisition time is 1 hour.
22 samples collected on site are analyzed by a TO-15 method recommended by the United states environmental protection agency (US EPA) and a preconcentration-GC-MS combined analysis system, 107 volatile organic compounds in the range of C2-C12 in PAMS + TO15 are quantitatively analyzed, and the total content of the volatile organic compounds covers various substances such as alkane, olefin, benzene series, halogenated hydrocarbon, oxygen-containing compound and the like. The VOCs standard substance is a mixed standard gas of TO15 and PAMS, and the internal standard substance is four substances of bromochloromethane, 1, 4-difluorobenzene, chlorobenzene and 4-bromofluorobenzene. Before sampling, the Suma tank is cleaned by high-purity nitrogen for 3 times by using a tank cleaning instrument and is pumped to the negative pressure of 6.5Pa, and 1 cleaned Suma tank is pumped in each batch and filled with the high-purity nitrogen to be used as blank detection of the sampling tank. In order to ensure the sensitivity and the accuracy of the instrument and the accuracy of a detection result, the air tightness of the instrument is firstly confirmed after the instrument is started up each time, then the mass spectrum detector is automatically tuned, and the sample analysis can be carried out through the tuning technology standard. Before sample analysis, an instrument blank test is carried out to ensure that the analysis system is free from pollution. Meanwhile, the TO15 and PAMS mixed standard gas is used for single-point quality control every week, the deviation between the actual calibration concentration of more than 80% of substances and the theoretical concentration is less than 15%, the correction curve is considered TO be effective, and multipoint correction is needed again when the deviation exceeds the theoretical concentration.
Data processing
(1) The sample data (equivalent to the sample data described in the examples of the invention) were summed and the total concentration of the material TVOC for each group of data was calculated1(the sum of the total concentrations of all substances per sampling point). Calculating the average concentration of each substance after removing the maximum and minimum values, and rejecting the average concentration of (0-1) ug/m according to the result3The substance of (1). Calculating the residual concentration and TVOC of each set of data2And occupy TVOC1The ratio of (a) to (b). If the calculation result of the ratio is within (85-100)% of the interval for a certain group of data, namely, data corresponding to a certain sampling point, the data processing is effective; otherwise, the group of sampling data is invalid, and the group of data is removed. It should be noted that a set of data described herein refers to data corresponding to a sampling point.
(2) In order to verify whether the sample data are abnormal samples, the sample number is used as a variable, the concentration of the substance obtained after treatment is used as a case, factor analysis is carried out, and a rotation component matrix (detailed as figure 3) and a total variance explanation (detailed as figure 4) are obtained by an orthogonal maximum variance method. The rotated component matrix includes 4 factors, and since the cumulative contribution rate of the first three factors is 85.328%, which is more than 80% as shown in fig. 4, and is equivalent to 80%, the sample number (the number of the sample point) having the load value greater than 0.5 included in the first three factors is retained. Sample No. 81 appeared in both the first factor and the fourth factor, and was rejected because its load value in the fourth factor was large, and sample No. 81 was assigned to the fourth factor. The processing of point 89 is as above. The original data whose sample number is determined to be abnormal is discarded, leaving a valid sample data 21 set.
(3) According to the device process and the concentration relation of substances in the vertical wind direction, halogenated hydrocarbon and ethanol in the substances are deleted, and 33 substances are remained. For example, if a substance that does not appear in a certain device process appears in the sample data, the data of the substance is deleted. In addition, the substances with downwind concentration far less than upwind concentration are rejected. By processing the volatile organic compound types, the material range is narrowed, and the material types contained in the fingerprint are more accurate. . In order to further optimize the substance types representing the pollution characteristics of the atmospheric and vacuum devices, namely substances contained in the fingerprint, 33 substance concentrations are taken as variables, corresponding sample numbers are subjected to factor analysis for each case, and a rotation component matrix (detailed as shown in figure 5) and a total variance explanation (detailed as shown in figure 6) are obtained by an orthogonal maximum variance method. The rotated composition matrix contains 5 factors, and the cumulative contribution rate of the first three factors is 87.183% and exceeds 80%, so that the substances with the load values larger than 0.5 contained in the first three factors are retained. For example, cyclohexane is present in both the first factor and the fourth factor, and the cyclohexane is assigned to the first factor and is retained because of its larger load value in the first factor. After the above treatment, 29 kinds of substances remained. The first factor and the third factor comprise alkane components such as n-heptane, octane and the like and light hydrocarbon components of C2-C5, and accord with a normal pressure process, a light hydrocarbon unit and a dry gas desulfurization process in a normal pressure device; substances such as 2-butanone and acrolein contained in the second factor conform to the pressure reduction process in a common pressure reduction device.
Establishment of fingerprint
(1) For the substances and sample numbers remaining after the treatment, 5% truncated average concentration of the concentrations of the remaining 29 substances is calculated (see the method described in the above example), and the substance ratio is calculated by using the 5% truncated average concentration, and the obtained result (see fig. 7) can be used as the fingerprint of the atmospheric and vacuum distillation device.
Example 2: taking a reforming device as an example, establishing a VOCs fingerprint of the reforming device
A total of 29 samples of VOCs were collected around the reformer. The analysis method was the same as above, data processing was performed according to the method applied in example 1, the ratio was calculated with a 5% truncated average value for the extracted substances, and substances and ratios thereof in a percentage of not less than 0.5% were selected as the fingerprint of the reformer. In contrast to the reforming process, the VOCs contained in the fingerprint correspond to the process characteristics of the reformer. The reforming part section relates to processes of depentanizing, debutanizing, C6-C7 fraction and the like, so that alkane components of C4-C7 in a fingerprint mainly come from the section. Benzene series such as benzene and toluene mainly come from the extractive distillation process.
Similarity is calculated between the fingerprints of the VOCs of the atmospheric and vacuum distillation unit in the embodiment 1 and the fingerprints of the VOCs of the reforming unit in the embodiment 2, and the result is shown in fig. 9, wherein the similarity is only 0.208, which indicates that the difference between the fingerprints of the VOCs of the two units is obvious, so that the method provided by the embodiment of the invention can be used for effectively establishing the fingerprints of the VOCs of different production units of a refinery enterprise, realizing identification of the components of the VOCs of the units, and providing a basis for establishment of a pollution feature database of the production unit of the petrochemical enterprise and accurate tracing of small scale.
The technical scheme provided by the embodiment of the invention forms a set of complete establishment method of VOCs fingerprints of the petrochemical enterprise production device, ensures that the established fingerprints can effectively represent the actual emission information of pollutants of the production device, reveals the whole appearance of the pollution characteristics of the VOCs of the production device, has important significance for the control of VOCs of the petrochemical enterprise, and provides a basis for establishing a VOCs pollution characteristic database of the production device and improving the accuracy of pollutant source analysis by combining multiple algorithms such as factor analysis and the like and combining actual conditions such as the production process of the device. In the technical scheme provided by the embodiment of the invention, the data volume is large, the monitoring period is long, some data are collected at intervals, and the actual emission information can be reflected better than that of a plurality of data collected at one time.
The technical scheme provided by the embodiment of the invention is suitable for VOCs pollution in atmospheric pollution, and the object for establishing the fingerprint spectrum is VOCs which are common in refining enterprises such as C2-C12 and contain alkanes, alkenes, benzene series and the like. The determination process of screening characteristic pollutants, namely fingerprint substances of different production devices is combined with multivariate statistical methods such as factor analysis and the like, so that the influence of subjective judgment is reduced.
The technical scheme provided by the embodiment of the invention discloses a method for establishing VOCs fingerprints of a production device of a refining enterprise, which comprises a multivariate statistical method for screening and determining pollution characteristic factors VOCs, fusion factor analysis and the like.
The technical scheme provided by the embodiment of the invention is sufficient for the sample collection quantity of the production device, and compared with the prior art, the data can better reflect the pollution characteristics of the device. The determination process of the device fingerprint spectrum is integrated with a multivariate statistical algorithm and the like, and the average value of the pollutant concentration is not only relied on. The finally established fingerprint spectrum comprises VOCs components reflecting the pollution characteristics of the device and concentration ratios.
In addition, the technical scheme provided by the embodiment of the invention can be applied to the field of VOCs monitoring and tracing of refining enterprises. The VOCs fingerprint of the production devices of the refinery enterprises is based on a large amount of field monitoring data, a group of substances and corresponding concentration data thereof are extracted from the data by a multivariate statistical method, the intrinsic relevance among the substances is displayed by using a group of macroscopic data, and the pollution characteristics of a single production device are represented by the action of an identity card, so that the emission condition of each production device is mastered. Through daily monitoring analysis and the fingerprint map who establishes compare, can realize the quick identification pollutant source, have showing the effect to promoting the refined management and control level of VOCs of refining enterprise, have good application prospect.
Accordingly, another aspect of the embodiments of the present invention provides an apparatus for creating a fingerprint of volatile organic compounds in a production apparatus.
Fig. 9 is a block diagram of an apparatus for creating a fingerprint of volatile organic compounds in a production apparatus according to another embodiment of the present invention. The device comprises an analysis module 1, a processing module 2, a determination module 3 and a building module 4. The analysis module 1 is configured to analyze a sample of the volatile organic compound collected at a sampling point to obtain sample data for each sampling point, where the sample data includes a type of the volatile organic compound and a concentration of each volatile organic compound; the processing module 2 is used for processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position so as to eliminate sampling point positions which do not meet preset conditions and volatile organic compounds; the determining module 3 is used for determining the average concentration and the proportion of each volatile organic matter based on the remaining sampling point positions and the volatile organic matters after the processing, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the sum of the first total concentration of the remaining volatile organic matters; the establishing module 4 is used for establishing a fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound.
Optionally, in this embodiment of the present invention, the processing module, based on all the sampling points and the sample data corresponding to each sampling point, performs processing including: taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method; based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and a sampling point position of which the load value is greater than a first preset load value in the reserved factor; analyzing the sample point positions as individual cases by taking the reserved sampling point positions and the sample data corresponding to each sampling point position in the reserved sampling point positions as the basis, taking each volatile organic compound and the concentration corresponding to the volatile organic compound as variables, and obtaining a second rotation component matrix and a second total variance explanation by a preset method; and reserving the factors of which the cumulative contribution rate reaches the second preset cumulative contribution rate and the volatile organic compounds of which the load values are larger than the second preset load value in the reserved factors on the basis of the second rotation component matrix and the second total variance interpretation.
Optionally, in an embodiment of the present invention, the preset method is an orthogonal maximum variance method.
Optionally, in this embodiment of the present invention, the processing module is further configured to determine, for each sampling point, whether the sample data is valid before processing based on all the sampling points and the sample data corresponding to each sampling point; and under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sample data corresponding to the sampling point, wherein the sample data corresponding to all the sampling points and each sampling point is processed on the basis of the sample data judged to be valid and the sampling point corresponding to each sample data judged to be valid.
Optionally, in an embodiment of the present invention, determining whether the sample data is valid for each sampling point location includes: calculating a second total concentration sum of the volatile organic compounds for each sampling point; calculating the average concentration of each volatile organic compound; volatile organic compounds with the average concentration within a preset concentration range are removed; calculating a third total concentration sum of the removed residual volatile organic compounds for each sampling point; calculating a second percentage of the second total concentration sum to the third total concentration sum for each sampling point; and judging whether the sample data is valid or not based on the second percentage and a preset percentage range aiming at each sampling point position.
The specific working principle and benefits of the apparatus for establishing a fingerprint of a volatile organic compound of a production apparatus according to the embodiments of the present invention are similar to those of the method for establishing a fingerprint of a volatile organic compound of a production apparatus according to the embodiments of the present invention, and will not be described herein again.
The device for establishing the fingerprint of the volatile organic compound of the production device comprises a processor and a memory, wherein the analysis module, the processing module, the determination module, the establishment module and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the establishment of the fingerprint spectrum is realized by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
Yet another aspect of the embodiments of the present invention provides a machine-readable storage medium having stored thereon instructions for causing a machine to execute the method described in the above embodiments.
In another aspect of the embodiments of the present invention, a processor is further provided, where the processor is configured to execute a program, where the program executes the method described in the foregoing embodiments.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: analyzing the samples of the volatile organic compounds collected at the sampling points to obtain sample data for each sampling point, wherein the sample data includes the types of the volatile organic compounds and the concentration of each volatile organic compound; processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position to eliminate the sampling point positions which do not meet preset conditions and the volatile organic compounds; determining the average concentration and the proportion of each volatile organic matter based on the remaining sampling point positions after treatment and the volatile organic matters, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the sum of the first total concentration of the remaining volatile organic matters; establishing the fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound; the processing based on all the sampling points and the sample data corresponding to each sampling point comprises: taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method; based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and the sampling point position of which the load value is greater than a first preset load value in the reserved factor; analyzing the sample data corresponding to the retained sampling point positions and each of the retained sampling point positions on the basis of each volatile organic compound and the concentration corresponding to the volatile organic compound as variables and each sampling point position as a case, and obtaining a second rotation component matrix and a second total variance interpretation through the preset method; and retaining a factor for which the cumulative contribution rate reaches a second preset cumulative contribution rate and the volatile organic compounds of which the load values are greater than a second preset load value among the retained factors, based on the second rotation component matrix and the second total variance interpretation; the preset method is an orthogonal maximum variance method; before the processing is performed based on all the sampling points and the sample data corresponding to each sampling point, the method further includes: for each sampling point, judging whether the sample data is valid; and under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sample data corresponding to the sampling point, wherein the processing based on all the sampling points and the sample data corresponding to each sampling point is based on the sample data judged to be valid and the sampling point corresponding to each sample data judged to be valid; the determining whether the sample data is valid for each of the sampling sites comprises: calculating a second total concentration sum of the volatile organic compounds for each sampling point; calculating the average concentration of each volatile organic compound; removing the volatile organic compounds with the average concentration within a preset concentration range; calculating a third total concentration sum of the volatile organic compounds which are left after being removed aiming at each sampling point; calculating a second percentage of the second total concentration sum to the third total concentration sum for each of the sampling points; and for each sampling point position, judging whether the sample data is valid or not based on the second percentage and a preset percentage range. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: analyzing the samples of the volatile organic compounds collected at the sampling points to obtain sample data for each sampling point, wherein the sample data includes the types of the volatile organic compounds and the concentration of each volatile organic compound; processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position to eliminate the sampling point positions which do not meet preset conditions and the volatile organic compounds; determining the average concentration and the proportion of each volatile organic matter based on the remaining sampling point positions after treatment and the volatile organic matters, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the sum of the first total concentration of the remaining volatile organic matters; establishing the fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound; the processing based on all the sampling points and the sample data corresponding to each sampling point comprises: taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method; based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and the sampling point position of which the load value is greater than a first preset load value in the reserved factor; analyzing the sample data corresponding to the retained sampling point positions and each of the retained sampling point positions on the basis of each volatile organic compound and the concentration corresponding to the volatile organic compound as variables and each sampling point position as a case, and obtaining a second rotation component matrix and a second total variance interpretation through the preset method; and retaining a factor for which the cumulative contribution rate reaches a second preset cumulative contribution rate and the volatile organic compounds of which the load values are greater than a second preset load value among the retained factors, based on the second rotation component matrix and the second total variance interpretation; the preset method is an orthogonal maximum variance method; before the processing is performed based on all the sampling points and the sample data corresponding to each sampling point, the method further includes: for each sampling point, judging whether the sample data is valid; and under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sample data corresponding to the sampling point, wherein the processing based on all the sampling points and the sample data corresponding to each sampling point is based on the sample data judged to be valid and the sampling point corresponding to each sample data judged to be valid; the determining whether the sample data is valid for each of the sampling sites comprises: calculating a second total concentration sum of the volatile organic compounds for each sampling point; calculating the average concentration of each volatile organic compound; removing the volatile organic compounds with the average concentration within a preset concentration range; calculating a third total concentration sum of the volatile organic compounds which are left after being removed aiming at each sampling point; calculating a second percentage of the second total concentration sum to the third total concentration sum for each of the sampling points; and for each sampling point position, judging whether the sample data is valid or not based on the second percentage and a preset percentage range.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (12)
1. A method for creating a fingerprint of volatile organic compounds in a manufacturing facility, the method comprising:
analyzing the samples of the volatile organic compounds collected at the sampling points to obtain sample data for each sampling point, wherein the sample data includes the types of the volatile organic compounds and the concentration of each volatile organic compound;
processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position to eliminate the sampling point positions which do not meet preset conditions and the volatile organic compounds;
determining the average concentration and the proportion of each volatile organic matter based on the remaining sampling point positions after treatment and the volatile organic matters, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the sum of the first total concentration of the remaining volatile organic matters; and
and establishing the fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound.
2. The method of claim 1, wherein the processing based on the sample data for all of the sample points and each of the sample points comprises:
taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method;
based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and the sampling point position of which the load value is greater than a first preset load value in the reserved factor;
analyzing the sample data corresponding to the retained sampling point positions and each of the retained sampling point positions on the basis of each volatile organic compound and the concentration corresponding to the volatile organic compound as variables and each sampling point position as a case, and obtaining a second rotation component matrix and a second total variance interpretation through the preset method; and
based on the second rotational component matrix and the second total variance interpretation, retaining a factor for which the cumulative contribution rate reaches a second preset cumulative contribution rate and the volatile organic compounds having a loading value greater than a second preset loading value among the retained factors.
3. The method of claim 2, wherein the predetermined method is a quadrature maximum variance method.
4. The method of any of claims 1-3, further comprising, prior to said processing based on all sample points and said sample data corresponding to each of said sample points:
for each sampling point, judging whether the sample data is valid; and
under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sample data corresponding to the sampling point,
the processing based on all the sampling points and the sample data corresponding to each sampling point is based on the sample data determined to be valid and the sampling point corresponding to each sample data determined to be valid.
5. The method of claim 4, wherein said determining whether the sample data is valid for each of the sample site locations comprises:
calculating a second total concentration sum of the volatile organic compounds for each sampling point;
calculating the average concentration of each volatile organic compound;
removing the volatile organic compounds with the average concentration within a preset concentration range;
calculating a third total concentration sum of the volatile organic compounds which are left after being removed aiming at each sampling point;
calculating a second percentage of the second total concentration sum to the third total concentration sum for each of the sampling points; and
and judging whether the sample data is valid or not based on the second percentage and a preset percentage range aiming at each sampling point position.
6. An apparatus for creating a fingerprint of volatile organic compounds in a production facility, the apparatus comprising:
the analysis module is used for analyzing the samples of the volatile organic compounds collected on the sampling points to obtain sample data aiming at each sampling point, wherein the sample data comprises the types of the volatile organic compounds and the concentration of each type of the volatile organic compounds;
the processing module is used for processing on the basis of all sampling point positions and the sample data corresponding to each sampling point position so as to eliminate the sampling point positions which do not meet the preset condition and the volatile organic compounds;
the determining module is used for determining the average concentration and the proportion of each volatile organic matter on the basis of the remaining sampling point positions after the processing and the volatile organic matters, wherein the proportion is a first percentage of the average concentration of each volatile organic matter in the first total concentration sum of the remaining volatile organic matters; and
and the establishing module is used for establishing the fingerprint spectrum based on each volatile organic compound and the proportion of the volatile organic compound.
7. The apparatus of claim 6, wherein the processing module processes based on all sample points and the sample data corresponding to each sample point comprises:
taking the sampling point location as a variable and the concentration of each volatile organic matter as a case, performing factor analysis, and obtaining a first rotation component matrix and a first total variance explanation through a preset method;
based on the first rotation component matrix and the first total variance interpretation, reserving a factor of which the cumulative contribution rate reaches a first preset cumulative contribution rate and the sampling point position of which the load value is greater than a first preset load value in the reserved factor;
analyzing the sample data corresponding to the retained sampling point positions and each of the retained sampling point positions on the basis of each volatile organic compound and the concentration corresponding to the volatile organic compound as variables and each sampling point position as a case, and obtaining a second rotation component matrix and a second total variance interpretation through the preset method; and
based on the second rotational component matrix and the second total variance interpretation, retaining a factor for which the cumulative contribution rate reaches a second preset cumulative contribution rate and the volatile organic compounds having a loading value greater than a second preset loading value among the retained factors.
8. The apparatus of claim 7, wherein the predetermined method is a quadrature maximum variance method.
9. The apparatus according to any of claims 6-8, wherein said processing module is further configured to, prior to said processing based on all sample points and said sample data corresponding to each of said sample points,
for each sampling point, judging whether the sample data is valid; and
under the condition that the sample data corresponding to one sampling point is invalid, rejecting the sampling point and the sample data corresponding to the sampling point,
the processing based on all the sampling points and the sample data corresponding to each sampling point is based on the sample data determined to be valid and the sampling point corresponding to each sample data determined to be valid.
10. The apparatus of claim 9, wherein the determining whether the sample data is valid for each of the sample point locations comprises:
calculating a second total concentration sum of the volatile organic compounds for each sampling point;
calculating the average concentration of each volatile organic compound;
removing the volatile organic compounds with the average concentration within a preset concentration range;
calculating a third total concentration sum of the volatile organic compounds which are left after being removed aiming at each sampling point;
calculating a second percentage of the second total concentration sum to the third total concentration sum for each of the sampling points; and
and judging whether the sample data is valid or not based on the second percentage and a preset percentage range aiming at each sampling point position.
11. A machine-readable storage medium having stored thereon instructions for causing a machine to perform the method of any one of claims 1-5.
12. A processor characterized by being configured to run a program, wherein the program is configured to perform the method of any of claims 1-5 when executed.
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