CN112034800B - Method, system, medium and terminal for calculating unorganized emission of volatile organic pollutants - Google Patents
Method, system, medium and terminal for calculating unorganized emission of volatile organic pollutants Download PDFInfo
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Abstract
The invention provides a method, a system, a medium and a terminal for calculating the unorganized emission of volatile organic pollutants, wherein the method comprises the following steps: determining the industry characteristics of the enterprises and the unorganized emission characteristics of the enterprises; acquiring an initial data set, and selecting a target continuous variable influence factor; determining an accounting method of the discharge amount of the inorganics; dividing load intervals of an enterprise according to the target continuous variable influence factors, and acquiring a production emission data set corresponding to the load intervals; establishing an unorganized emission calculation model to calculate the unorganized emission of volatile organic pollutants generated by an enterprise based on the unorganized emission calculation model and a production emission data set; the invention fully considers the unorganized emission characteristic aiming at the requirement of environmental management, realizes the dynamic metering of unorganized emission, fills the blank of the existing real-time unorganized emission quantitative technology of volatile organic compounds, and supports the total amount control and supervision system in China.
Description
Technical Field
The invention belongs to the field of volatile organic pollutant management, and particularly relates to a method, a system, a medium and a terminal for calculating the unorganized emission of volatile organic pollutants.
Background
Volatile Organic pollutants (VOCs) are various Organic Compounds with boiling points of 50-260 ℃ at normal temperature according to the definition of the World Health Organization (WHO), in China, VOCs refer to Organic Compounds with saturated vapor pressure of more than 70Pa and boiling points of below 260 ℃ at normal temperature or all Organic Compounds with vapor pressure of more than or equal to 10Pa and volatility at 20 ℃, VOCs have toxicity and odor, and the concentration of VOCs exceeds the standard and then causes serious harm to physical and mental health of people, so that the VOCs are especially important to emission management of VOCs, in recent years, along with high-speed and diversified development of social economy in China, the atmospheric pollution causes high social concern, VOCs are used as key substances formed by O3 and PM2.5, pollution emission control of VOCs becomes a precursor short board of atmospheric environmental management in China, and is also a key point of protecting the world, documents such as a plurality of policies, standards and technical specifications recently issued by the country provide relevant requirements for the unorganized emission control of VOCs.
In 5 months in 2019, the department of ecological environment issues 'volatile organic matter unorganized emission control standards' (GB 37822-2019), specifies in detail unorganized emission control and limit requirements of links such as VOCs material storage, transportation, process, equipment and pipeline component leakage, open liquid level and the like, and highlights the importance and urgency of unorganized emission supervision tasks; in 6 months in 2019, the department of ecological environment issues a comprehensive treatment scheme for volatile organic compounds in key industries (Anyuan [ 2019 ] 53), which indicates that the problem of unorganized emission of VOCs in China is prominent, clearly requires that unorganized emission control of VOCs is comprehensively enhanced, and unorganized emission of VOCs is continuously reduced.
The unstructured VOCs discharge takes a large-scale surface source or a large-scale volume source as the overall performance characteristic, after the organized (exhaust funnel) discharge of the VOCs is comprehensively controlled, the unstructured discharge presenting dissipation property becomes a key short board influencing the actual emission reduction effect and the improvement of the environmental quality, because the production data of enterprises hardly reach the instantaneous precision, most of the current quantitative methods for the unstructured VOCs discharge total amount are based on static theoretical calculation, the requirements of the precision of the assessment of the unstructured regional discharge, the pollution tracing and the accurate prevention and control cannot be effectively met, and the technical means of scientific and quantitative real-time unstructured discharge are urgently needed as supplement.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to respond to the total amount control refinement trend in the environmental protection field of China, change the static state into the dynamic state aiming at the unorganized emission of volatile organic pollutants, and provide a volatile organic pollutant unorganized emission amount calculation method, a system, a medium and a terminal by relying on instantaneous electric quantity so as to fill the blank of the existing real-time volatile organic pollutant unorganized emission quantitative technology and support the total amount control system of China.
In order to achieve the above objects and other related objects, the present invention provides a method for calculating the unorganized emission of volatile organic pollutants, comprising the steps of: determining the industry characteristics of an enterprise and the unorganized emission characteristics of the enterprise; acquiring an initial data set according to the industry characteristics and the unorganized emission characteristics, and selecting a target continuous variable influence factor which has significant correlation with the unorganized emission according to the initial data set; determining an accounting method of the unorganized emission amount according to the industry characteristics and the unorganized emission characteristics; dividing the load intervals of the enterprise according to the target continuous variable influence factors, and acquiring a production and emission data set corresponding to the load intervals on the basis of the initial data set; and establishing an unorganized emission calculation model according to the unorganized emission accounting method, and calculating the unorganized emission of the volatile organic pollutants generated by the enterprise based on the unorganized emission calculation model and the production emission data set.
In an embodiment of the present invention, before calculating the amount of the volatile organic pollutants produced by the enterprise based on the model for calculating the amount of the inorganically emitted pollutants and the production emission dataset, the method further includes the following steps: cleaning the production emission data set to obtain a target data set; calculating the amount of the unorganized emissions based on the model for calculating the amount of the unorganized emissions and the target dataset.
In an embodiment of the present invention, the method further includes the following steps: acquiring a test data set corresponding to the load interval; verifying the unstructured emission calculation model by using the test data set to obtain a final unstructured emission calculation model; calculating the amount of the unorganized emissions based on the final model for calculating the amount of the unorganized emissions and the production emissions dataset.
In an embodiment of the present invention, the accounting method for determining the unorganized emission amount according to the industry feature and the unorganized emission feature includes: when the industry type of the enterprise is determined to be a solvent use industry according to the industry characteristics, the calculation method of the unorganized emission amount comprises the following steps:
wherein E isUse of solvents without tissueRepresenting an unorganized emissions accounting for the solvent use industry; wiRepresenting the input amount of the ith material containing the volatile organic pollutants in the statistical period; WFiRepresenting the mass content of the volatile organic pollutants in the ith material in a statistical period; wjRepresenting the recovery amount of the jth solvent in the statistical period; WFjIndicating the volatility of the jth recovered solvent in the statistical periodMass percentage of organic pollutants; wkRepresenting the amount of the kth waste in the statistical period; WFkRepresenting the mass percentage content of the volatile organic pollutants of the kth waste in the statistical period; eOrganized, qRepresents the organized discharge amount of the q-th exhaust pipe; etaqIndicating the treatment efficiency corresponding to the q-th exhaust funnel;
when the industry type of the enterprise is determined to be the solvent processing industry according to the industry characteristics, the calculation method of the unorganized emission amount comprises the following steps:
wherein E isUnstructured, solvent processingRepresenting an unorganized emission accounting for the solvent processing industry; eiAnd the discharge amount of the i-th unorganized pollutant source item determined according to the unorganized discharge characteristics in the statistical period is shown.
In an embodiment of the present invention, the calculation model of the amount of the non-organized emissions is:
Ewithout tissue＝EFWithout tissue×f(x)；
Wherein E isWithout tissueRepresents the amount of discharge of the amorphous material; EFWithout tissueRepresenting an unorganized emission coefficient; x represents an electric quantity; (x) represents a sub-model for the electrical quantity, which sub-model employs a neural network model and/or a logistic regression model.
In an embodiment of the invention, the production emissions data set includes: organized on-line monitoring data, organized manual monitoring data, unorganized detection data, process physicochemical parameters and power consumption data of production equipment; the load interval is divided into: low peak production, normal production and high peak production.
In one embodiment of the present invention, the industry features include: industry type, process type, production mode; the unorganized emission features include: unorganized pollution source item and load interval.
The invention provides a system for calculating the unorganized emission of volatile organic pollutants, which comprises: the device comprises a first determining module, a first obtaining module, a second determining module, a second obtaining module and a model establishing module; the first determining module is used for determining the industry characteristics of the enterprise and the unorganized emission characteristics of the enterprise; the first acquisition module is used for acquiring an initial data set according to the industry characteristics and the unorganized emission characteristics, and selecting a target continuous variable influence factor which has significant correlation with the unorganized emission according to the initial data set; the second determination module is used for determining an accounting method of the unorganized emission amount according to the industry characteristics and the unorganized emission characteristics; the second acquisition module is used for dividing the load interval of the enterprise according to the target continuous variable influence factor and acquiring a production and emission data set corresponding to the load interval based on the initial data set; the model establishing module is used for establishing an unorganized emission calculation model according to the unorganized emission accounting method, and calculating the unorganized emission of the volatile organic pollutants generated by the enterprise based on the unorganized emission calculation model and the production emission data set.
The invention provides a storage medium, on which a computer program is stored, which when executed by a processor implements the above-mentioned method for calculating the amount of inorganically emitted volatile organic pollutants.
The present invention provides a terminal, including: a processor and a memory; the memory is used for storing a computer program; the processor is used for executing the computer program stored in the memory so as to enable the terminal to execute the method for calculating the unorganized emission of the volatile organic pollutants.
As described above, the method, the system, the medium and the terminal for calculating the unorganized emission of volatile organic pollutants according to the present invention have the following advantages:
compared with the prior art, the invention fully considers the characteristics of the unorganized emission according to the requirements of environmental management, establishes a neural network model and/or a logistic regression model through the relation among the industrial characteristics, the emission type, the emission quantity, the pollution discharge coefficient and the power consumption, realizes the dynamic measurement of the unorganized emission quantity, fills the blank of the existing real-time volatile organic compound unorganized emission quantitative technology, and supports the total quantity control and supervision system in China.
Drawings
Fig. 1 is a flowchart illustrating a method for calculating the amount of inorganically emitted voc according to an embodiment of the present invention.
FIG. 2 is a flow chart illustrating purging of production emission data sets in one embodiment of the present invention.
FIG. 3 is a flow chart illustrating verification of an unstructured emission calculation model using a test data set according to an embodiment of the invention.
FIG. 4 is a schematic block diagram illustrating a method for calculating the amount of inorganically emitted VOC according to one embodiment of the present invention.
FIG. 5 is a graph comparing the amount of the volatile organic compounds emitted from the substrate with the amount of the volatile organic compounds emitted from the substrate in an embodiment of the present invention.
FIG. 6 is a graph comparing the amount of the volatile organic compounds emitted from the substrate with the amount of the volatile organic compounds emitted from the substrate in another embodiment of the present invention.
Fig. 7 is a schematic structural diagram of an system for calculating an amount of emission of volatile organic compounds in an embodiment of the invention.
Fig. 8 is a schematic structural diagram of a terminal according to an embodiment of the invention.
Description of the reference symbols
71 first determination module
72 first acquisition module
73 second determination module
74 second acquisition module
75 model building module
81 processor
82 memory
S1-S5
S51-S52
S6-S8
Detailed Description
The following description of the embodiments of the present invention is provided by way of specific examples, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Compared with the prior art, the method, the system, the medium and the terminal for calculating the unorganized emission of the volatile organic pollutants fully consider the unorganized emission characteristics according to the requirements of environmental management, establish a neural network model and/or a logistic regression model through the relation among the industrial characteristics, the emission type, the emission quantity, the pollution discharge coefficient and the power consumption, realize the dynamic measurement of the unorganized emission quantity, fill the blank of the existing real-time unorganized emission quantitative technology of the volatile organic compounds, and support the total quantity control and supervision system in China.
As shown in fig. 1, in one embodiment, the method for calculating the amount of the emitted inorganically-emitted volatile organic pollutants of the present invention comprises the following steps:
and S1, determining the industry characteristics of the enterprise and the unorganized emission characteristics of the enterprise.
In one embodiment, the industry features include, but are not limited to, industry type, process type, production model; the unorganized discharge characteristics include, but are not limited to, unorganized pollution source items and load intervals.
It should be noted that the industry type generally refers to the solvent use industry and/or the solvent processing industry; this type of process is generally referred to as solvent-based and/or aqueous-based; the production mode is generally referred to as continuous production and/or batch production; the inorganization pollution source item refers to a source for generating the inorganization emission of individual volatile organic pollutants of an enterprise, and comprises the process dissipation, the storage tank loss, the equipment sealing element leakage, the loading dissipation and the like; the load interval refers to the range of production load from low production peak to high production peak (including low production peak, normal production, high production peak).
And S2, acquiring an initial data set according to the industry characteristics and the unorganized emission characteristics, and selecting a target continuous variable influence factor which has significant correlation with the unorganized emission according to the initial data set.
Specifically, based on the industry characteristics and the unorganized emission characteristics determined in step S1, relevant data corresponding to the enterprise are collected, an initial data set is obtained, and a target continuous variable influence factor having a significant correlation with the unorganized emission amount is selected according to the data in the initial data set.
It should be noted that the initial data set includes multiple sets of data, wherein each set of data includes values corresponding to the relevant continuous variables of the enterprise, such as individual product yield, raw material consumption, and the like, determined according to step S1, and the data in the initial data set should cover three production load intervals, i.e., production low peak, production normal state, and production high peak.
It should be noted that the period of data acquisition refers to the longest period of each data in the data set, and represents the precision of the whole data set, and the shorter the period is, the more accurate the data is, and the more accurate and reliable the unorganized emission of volatile organic pollutants obtained by subsequent calculation is, which mainly depends on the degree of automation of an enterprise. The data acquisition period of an enterprise with incomplete management is generally different from month, quarter to half year, the data acquisition period of the enterprise with complete management is 24 hours, and the enterprise with complete management and higher automation degree can be shorter.
Further, selecting a target continuous variable influence factor having a significant correlation with the amount of the unorganized emission from the initial data set comprises the following steps:
(21) and calculating a correlation coefficient between the unorganized emission and a continuous variable influence factor by using a spearman formula.
Specifically, the calculation formula of the correlation coefficient is:
wherein ρ represents a correlation coefficient, and has no dimensional quantity; x is the number ofiRepresenting the first of the initial data setiCorresponding unorganized emission in group data;
means representing an average of corresponding unorganized emissions in all group data of the initial dataset; y isiRepresenting the first of the initial data setiThe value of a corresponding continuous variable influence factor in the group data;
represents the average of the values of the impact factor for the continuous variable in all groups of data of the initial data set.
It should be noted that in this formulaiDepending on the data set in the initial data set, how many data sets there are in the initial data set, theiThe value of (A) is taken from 1 to at most a known quantitative value.
(22) And selecting the continuous variable influence factor with the maximum correlation coefficient as the target continuous variable influence factor.
Further, if a plurality of continuous variable influence factors each have a significant correlation with the amount of the non-organized emission, it is preferable to select a product yield that can represent a production load as a target continuous variable influence factor.
And step S3, determining an accounting method of the unorganized emission amount according to the industry characteristics and the unorganized emission characteristics.
In one embodiment, the accounting method for determining the amount of the unorganized emissions according to the industry characteristic and the unorganized emissions characteristic includes, but is not limited to, the following two cases:
(31) when the industry type of the enterprise is determined to be a solvent use industry according to the industry characteristics, the calculation method of the unorganized emission amount comprises the following steps:
wherein E isUse of solvents without tissueRepresents the unorganized emission accounting (kg) of the solvent use industry; wiRepresenting the input amount (kg) of the ith material containing the volatile organic pollutants in the statistical period; WFiMass content (%) of volatile organic contaminants representing the ith material over the statistical period; wjRepresenting the recovery amount (kg) of the jth solvent in the statistical period; WFjMass percent (%) of volatile organic contaminants representing the jth recovered solvent during the statistical period; wkRepresenting the amount of kth waste (kg) in the statistical period; WFkMass percentage (%) of volatile organic pollutants representing kth waste in a statistical period; eOrganized, qRepresents the organized discharge (kg) of the q-th exhaust stack; etaqThe treatment efficiency corresponding to the q-th chimney is expressed as a known quantitative value.
Preferably, EOrganized, qCalculated according to the general guidelines of the pollution discharge permit application and the technical code of issue (HJ 942-2018).
It should be noted that i, j, k, and q appearing in the formula are known and quantified.
(32) When the industry type of the enterprise is determined to be the solvent processing industry according to the industry characteristics, the calculation method of the unorganized emission amount comprises the following steps:
wherein E isUnstructured, solvent processingIndicating the solvent processing industryThe amount (kg) of the inorganically discharged accounting; eiRepresents the discharge amount (kg) of the i-th unorganized pollutant source item determined according to the unorganized discharge characteristics in a statistical period.
It should be noted that i in this formula is a known quantity.
Preferably, EiThe emission of unorganized pollution sources is calculated (tested) according to the general calculation method for emission of volatile organic compounds of industrial enterprises in Shanghai City (Shanghai province) (Shanghai environmental protection Community) [2017]]Number 70) was calculated.
It should be noted that, when the industry type of the enterprise is determined to be a mixture of the solvent processing industry and the solvent using industry, the accounting method of the corresponding unorganized emission amount is a superposition of the formulas in the above steps (31) and (32).
And step S4, dividing the load interval of the enterprise according to the target continuous variable influence factor, and acquiring a production emission data set corresponding to the load interval based on the initial data set.
It should be noted that the electric power is the power consumption of the production facility related to the unorganized emission of VOCs.
In one embodiment, the production emission data set includes organized online monitoring data, organized manual monitoring data, unorganized detection data, process physicochemical parameters and production equipment power consumption data; the load interval is divided into a production low peak, a production normal state and a production high peak.
It should be noted that the production emission data set does not necessarily include the organized online monitoring data, the organized manual monitoring data, the unorganized detection data, the process physicochemical parameters, and the power consumption data of the production equipment, and is determined according to the actual conditions of the enterprise, for example, if an enterprise adopts an organized online monitoring method, the unorganized emission only relates to the dissipated exhaust gas during the gas capture at the front end of the exhaust funnel, and the monitoring data set at this time only includes the organized online monitoring data and the power consumption data of the production equipment.
Specifically, the production emissions data set is obtained as follows:
(a) the method for acquiring organized online monitoring data comprises the following steps:
the data sampling position for on-line monitoring is preferably selected at the vertical pipe section of the exhaust funnel, avoids the flue elbow and the part with the sharply changed section, and is arranged at the position which is not less than 6 times of diameter from the downstream direction of the elbow, the valve and the reducer and not less than 3 times of diameter from the upstream direction of the part; for a rectangular flue, the equivalent diameter D is 2AB/(A + B), wherein A, B is the side length, the air flow speed of the sampling section is preferably above 5m/s, the sampling period is less than or equal to 3 minutes, and the detection method adopts a hydrogen flame ionization detector method.
(b) The organized manual monitoring data acquisition method comprises the following steps:
the data sampling position for manual monitoring is preferably selected at the vertical pipe section of the exhaust funnel, avoids the flue elbow and the part with the sharply changed section, and is arranged at the position which is not less than 6 times of diameter from the downstream direction of the elbow, the valve and the reducer pipe and not less than 3 times of diameter from the upstream direction of the part; for a rectangular flue, the equivalent diameter D is 2AB/(A + B), wherein A, B is the side length, the air flow speed of the sampling section is preferably above 5m/s, 3-4 samples are collected at equal time intervals within 1 hour of sampling of waste gas in an exhaust funnel, the average value is calculated, and the detection method adopts gas chromatography.
(c) The method for acquiring the unorganized detection data comprises the following steps:
the method for detecting the leakage of the dynamic and static sealing points of the equipment and the sampling process emission source item refers to the technical guide for detecting volatile organic compounds (HJ 733) of leakage and open liquid level emission;
the emission source sampling and detecting method in the process of waste water gathering, transportation, storage and treatment and the process of release of a cooling tower and a circulating water cooling system refers to the method for measuring combustion oxidation-non-dispersive infrared absorption of total organic carbon in water quality (HJ 501).
It should be noted that, the production emission data sets corresponding to three load intervals of the production low peak, the production normal state and the production high peak are obtained, so that the stability and reliability of subsequent calculation of the unorganized emission of the volatile organic pollutants are improved.
(d) The method for acquiring the process physicochemical parameters comprises the following steps:
preferably, the corresponding process physicochemical parameters of the emission source are obtained according to the general calculation method (trial) for emission of volatile organic compounds of industrial enterprises in Shanghai City (Shanghai province, U.S. [2017] 70).
(e) The method for acquiring the electricity consumption data of the production equipment comprises the following steps:
obtained by the enterprise electricity metering equipment.
And step S5, establishing an unorganized emission calculation model according to the unorganized emission accounting method, and calculating the unorganized emission of the volatile organic pollutants generated by the enterprise based on the unorganized emission calculation model and the production emission data set.
In one embodiment, the calculation model of the amount of the non-organized emissions is:
Ewithout tissue＝EFWithout tissue×f(x)；
Wherein E isWithout tissueIndicates the amount of discharge of the microstructure (kg); EFWithout tissueRepresenting the unorganized emission coefficient, which is a known quantity; x represents the electrical quantity (kW); f (x) represents a sub-model of the amount of discharge of the inorganics with respect to the amount of electricity.
Preferably, the sub-models employ neural network models and/or logistic regression models.
It should be noted that the neural network model is an existing model structure in the field, and during the actual operation, the inorganization emission accounting amount and the electric quantity are put into the model, so the specific structure and the working principle of the model are not described in detail herein.
Furthermore, the submodel f (x) can also be used to establish submodels for total emission and electric quantity, organized emission and electric quantity, and since there is a better online monitoring method to obtain real-time organized emission, it is not described herein again.
Note that the unstructured waste coefficient EFWithout tissue(corresponds to EF in the following formulaGross, disorganized) The formula is as follows:
EFgross, disorganized＝α％×EFNo tissue, peak+β％×EFUnorganized, normal state+γ％×EFNo tissue, low peak；
Wherein, alpha%, beta% and gamma% respectively represent the proportion of the production low peak, the production normal state and the production high peak in the statistical period; EFNo tissue, peak、EFUnorganized, normal state、EFNo tissue, low peakAll correspond to EFWithout tissueRespectively, the unstructured emission coefficients corresponding to the production low peak, production normality and production high peak, and EFWithout tissueThe calculation formula of (2) is as follows:
when the industry type of enterprise is solvent use,
wherein, EFUse of solvents without tissueExpressing the unorganized pollution discharge coefficient (kg/activity intensity) of the corresponding solvent use industry; wiRepresenting the input amount (kg) of the ith material containing the volatile organic pollutants in the statistical period; WFiMass (%) representing the volatile organic contaminant content of the ith material during the statistical period; wjRepresenting the recovery amount (kg) of the jth solvent in the statistical period; WFjMass percent (%) of volatile organic contaminants representing the jth recovered solvent during the statistical period; wkRepresenting the amount of kth waste (kg) in the statistical period; WFkMass percentage (%) of volatile organic pollutants representing kth waste in a statistical period; EFOrganized, on-line,/Corresponding to EFOrganized, on-lineExpressing the organized pollution discharge coefficient of the first exhaust funnel adopting the online monitoring method; EFOrganized, manual, mCorresponding to EFOrganized, by handThe organized pollution discharge coefficient of the mth exhaust funnel adopting a manual monitoring method is shown; etalThe treatment efficiency of the first exhaust funnel adopting on-line monitoring is shown as a preset amount; etamThe treatment efficiency of the first exhaust funnel adopting on-line monitoring is shown as a preset amount; a represents the corresponding value of the target continuous variable influence factor in the statistical period.
It should be noted that i, j, k, l, m appearing in this formula are known quantitative amounts.
It should be noted that the activity intensity refers to a representative artificial activity amount causing the emission of the unorganized pollution in the statistical period of the pollution source data, such as various product yields, material usage amount, and the like, and corresponds to a in this embodiment.
Wherein, EFOrganized, on-lineRepresenting the organized pollution discharge coefficient (kg/activity intensity) using an on-line monitoring method; ci represents the measured average emission concentration (mg/m) at the i-th hour3) (ii) a Qi represents the amount of exhaust gas (Nm) at hour i3H); n represents the number of hours within the statistical period.
Wherein, EFOrganized, by handRepresenting the organized pollution discharge coefficient (kg/activity intensity) using a manual monitoring method; c. CiRepresents the measured average emission concentration (mg/m) of the ith time3) (ii) a The value of i is taken from 1 to n; n represents the total number of manual monitoring; qi represents the amount of exhaust gas (Nm) at the i-th hour3H); n represents the monitoring times in the statistical period, and the dimension is one; h denotes the duration of the statistical period.
When the industry type of the enterprise is solvent processing,
wherein, EFUnstructured, solvent processingRepresenting the unorganized pollution discharge coefficient (kg/activity intensity) of the corresponding solvent processing industry; eiRepresents the discharge amount (kg) of the i-th unorganized pollutant source item determined according to the unorganized discharge characteristics in a statistical period.
Preferably, EiThe discharge amount of inorganization pollution source items is according to the volatility of Shanghai City industrial enterprisesGeneral calculation method for emissions of organic matters (trial implementation) (Shanghai environmental protection Unit [2017]]Number 70) was calculated.
After the industry type of the enterprise is determined, the data corresponding to the production peak, the production normality and the production low peak are respectively substituted into the unorganized pollution discharge coefficient model for calculation so as to respectively obtain EFNo tissue, peak、EFUnorganized, normal state、EFNo tissue, low peakFurther calculate the unorganized sewage discharge coefficient EFWithout tissue。
As shown in fig. 2, in an embodiment, before calculating the amount of the volatile organic pollutants generated by the enterprise based on the model for calculating the amount of the inorganically emitted pollutants and the production emission data set, the method further includes the following steps:
and step S51, cleaning the production emission data set to obtain a target data set.
Specifically, the production emission data set is cleaned, that is, invalid items in the production emission data set are removed, wherein the invalid items include null items (including 0 value) or abnormal items (the abnormal items refer to measurement values with deviation from the average value exceeding two times or more standard deviations in a group of electric quantity measurement values); and obtaining the target data set after cleaning.
Step S52, calculating the amount of the emission of the non-structure based on the model for calculating the amount of the emission of the non-structure and the target data set.
The operation principle of calculating the amount of discharge without organization in step S52 is the same as that of calculating the amount of discharge without organization based on the model for calculating the amount of discharge without organization and the production discharge data set in step S5, but the difference is that the production discharge data set in step S5 is replaced by the target data set, and therefore, the description thereof is omitted.
As shown in fig. 3, in an embodiment, the method further includes the following steps:
and step S6, acquiring a test data set corresponding to the load interval.
Specifically, test data sets covering three production load intervals, production high peak, production normal and production low peak, are obtained.
And step S7, verifying the unstructured emission calculation model by using the test data set to obtain a final unstructured emission calculation model.
Specifically, the feasibility of the unstructured emission quantity calculation model established in step S5 is verified by using the test data set acquired in step S6, so as to further refine the unstructured emission quantity calculation model and acquire a final unstructured emission quantity calculation model.
And step S8, calculating the unorganized emission quantity based on the final unorganized emission quantity calculation model and the production emission data set.
Note that, the operation principle of calculating the amount of discharge of the non-structure in step S8 is the same as the principle of calculating the amount of discharge of the non-structure based on the calculation model of the amount of discharge of the non-structure and the production discharge data set in step S5, but the difference is that the calculation model of the amount of discharge of the non-structure in step S5 is replaced by the final calculation model of the amount of discharge of the non-structure (which is not verified by using the test data set), and therefore, the description thereof is omitted here.
The method for calculating the unorganized emission of volatile organic pollutants according to the present invention is further demonstrated by the following specific examples.
As shown in fig. 4, in an embodiment, the method for calculating the unorganized emission of volatile organic pollutants is applied to a coating enterprise, and the calculation of the unorganized emission of volatile organic pollutants is performed on the coating enterprise by the method for calculating the unorganized emission of volatile organic pollutants.
As shown in table 1 below, a basic information table of the coating enterprise is shown, wherein the industrial characteristics of the coating enterprise are: the industry type is the solvent use industry; the process type is a solvent type coating spraying process; the production mode is intermittent production; the unorganized emission characteristics of the coating enterprise are as follows: the inorganization pollution source item is dissipation emission of a technological process source (namely waste gas which is not trapped at the front end of an exhaust funnel in a paint spraying process), and volatile organic pollutant-related raw materials are primer and diluent; the load interval is [100, 800], and covers the production peak, the production normal state and the production low peak (the load interval takes the standard product quantity of the coating enterprise as the activity intensity, namely the target continuous variable influence factor); after the coating enterprise's industry and unorganized emissions characteristics were determined, the initial data set obtained is shown in table 2 below.
In this embodiment, the period of data collection of the painting enterprise is 24 hours; the VOCs content of the primer is 420 g/l; the diluent has a VOCs content of 100%.
Table 1: basic information table
Table two: initial data set
Because the industry type of the coating enterprise is the solvent use industry, the calculation method of the unorganized emission adopts the following formula:
the coating enterprise employs online monitoring, and a production emission data set derived from the online monitoring equipment is shown in table 3 below.
Table 3: production emissions data set
After the cleaning process was performed on the production emission data set in table 3, the target data set as shown in table 4 was obtained.
Table 4: target data set
The established calculation model of the discharge amount of the inorganics is as follows:
Ewithout tissue＝EFWithout tissue×f(x)；
Wherein E isWithout tissueIndicates the amount of discharge of the microstructure (kg); EFWithout tissueRepresents the unorganized emission coefficient, which is a known quantitative, in this example, 3.17 kg/standard product quantity; the submodel f (x) employs a neural network model and a logistic regression model.
The final unstructured emission calculation model corrected by the test data set will be described in detail below.
As shown in table 5 below, the above-described calculation model for the emission amount without structure was corrected using the test data set in table 5 as the acquired test data set.
In this embodiment, the corrected logistic regression model is: (x) ═ 2 × 10-6)x2-0.0089x+119.03。
Table 5: test data set
The following results are obtained by taking the current material balance algorithm (from the technical guideline for strong accounting of pollution sources) closest to the actual discharge amount as a measurement standard:
(a) as shown in fig. 5, when the sub-model f (x) adopts the neural network model, the average deviation ratio between the calculated non-organized discharge (corresponding to the simulation data in fig. 5) and the actual non-organized discharge (calculated by the material balance algorithm, corresponding to the actual calculation data in fig. 5) is 14%.
(b) As shown in fig. 6, when the sub-model f (x) adopts a logistic regression model, the average deviation ratio between the calculated amount of the discharge of the non-structure (corresponding to the simulation data in fig. 6) and the actual amount of the discharge of the non-structure (calculated by the material balance algorithm, corresponding to the actual calculation data in fig. 6) is 26%.
It should be noted that the protection scope of the method for calculating the unorganized emission amount of volatile organic pollutants according to the present invention is not limited to the execution sequence of the steps illustrated in this embodiment, and all the solutions implemented by the steps addition, subtraction, and step replacement in the prior art according to the principles of the present invention are included in the protection scope of the present invention.
As shown in fig. 7, in an embodiment, the system for calculating the amount of inorganically emitted volatile organic pollutants according to the present invention includes a first determining module 71, a first obtaining module 72, a second determining module 73, a second obtaining module 74 and a model building module 75.
The first determination module 71 is used for determining the industry characteristics of the enterprise and the unorganized emission characteristics of the enterprise.
The first obtaining module 72 is configured to obtain an initial data set according to the industry characteristics and the unorganized emission characteristics, and select a target continuous variable influence factor having a significant correlation with the unorganized emission amount according to the initial data set.
The second determining module 73 is configured to determine an accounting method of the unorganized emission amount according to the industry characteristic and the unorganized emission characteristic.
The second obtaining module 74 is configured to divide the load interval of the enterprise according to the target continuous variable influence factor, and obtain a production and emission data set corresponding to the load interval based on the initial data set.
The model establishing module 75 is configured to establish an unorganized emission calculation model according to the unorganized emission accounting method, so as to calculate the unorganized emission of the volatile organic pollutants generated by the enterprise based on the unorganized emission calculation model and the production emission data set.
It should be noted that the structures and principles of the first determining module 71, the first obtaining module 72, the second determining module 73, the second obtaining module 74, and the model establishing module 75 correspond to the steps in the method for calculating the amount of the inorganically emitted volatile organic pollutants one by one, and therefore, the description thereof is omitted here.
It should be noted that the division of the modules of the above system is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the x module may be a processing element that is set up separately, or may be implemented by being integrated in a chip of the system, or may be stored in a memory of the system in the form of program code, and the function of the x module may be called and executed by a processing element of the system. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
The storage medium of the present invention stores thereon a computer program, which when executed by a processor implements the method for calculating the unorganized emission of volatile organic pollutants described above. The storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
As shown in fig. 8, the terminal of the present invention includes a processor 81 and a memory 82.
The memory 82 is used for storing computer programs; preferably, the memory 82 includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 81 is connected to the memory 82 and configured to execute the computer program stored in the memory 82, so that the terminal executes the method for calculating the amount of the inorganically emitted voc.
Preferably, the Processor 81 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.
It should be noted that the system for calculating the amount of inorganically discharged volatile organic pollutants according to the present invention can implement the method for calculating the amount of inorganically discharged volatile organic pollutants according to the present invention, but the implementation apparatus of the method for calculating the amount of inorganically discharged volatile organic pollutants according to the present invention includes, but is not limited to, the structure of the system for calculating the amount of inorganically discharged volatile organic pollutants illustrated in this embodiment, and all the modifications and substitutions of the structure of the prior art made according to the principles of the present invention are included in the scope of the present invention.
In summary, compared with the prior art, the method, the system, the medium and the terminal for calculating the unorganized emission of the volatile organic pollutants fully consider the unorganized emission characteristics according to the requirements of environmental management, establish a neural network model and/or a logistic regression model through the relation among the industrial characteristics, the emission type, the emission quantity, the pollution discharge coefficient and the power consumption, realize the dynamic measurement of the unorganized emission, fill the blank of the existing real-time unorganized emission quantification technology of the volatile organic pollutants, and support the total amount control and supervision system in China; therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (9)
1. A method for calculating the unorganized emission of volatile organic pollutants is characterized by comprising the following steps:
determining the industry characteristics of an enterprise and the unorganized emission characteristics of the enterprise;
acquiring an initial data set according to the industry characteristics and the unorganized emission characteristics, and selecting a target continuous variable influence factor which has significant correlation with the unorganized emission according to the initial data set;
determining an accounting method of the unorganized emission amount according to the industry characteristics and the unorganized emission characteristics;
dividing the load intervals of the enterprise according to the target continuous variable influence factors, and acquiring a production and emission data set corresponding to the load intervals on the basis of the initial data set;
establishing an unorganized emission calculation model according to the unorganized emission accounting method, and calculating the unorganized emission of the volatile organic pollutants generated by the enterprise based on the unorganized emission calculation model and the production emission data set; the calculation model of the unorganized emission is as follows:
Ewithout tissue＝EFWithout tissue×f(x)；
Wherein E isWithout tissueRepresents the amount of discharge of the amorphous material; EFWithout tissueRepresenting an unorganized emission coefficient; x represents an electric quantity; (x) representing sub models for the electrical quantities, said sub models employing neural network models and/or logistic regression models; the unstructured sewage coefficient EFWithout tissueThe formula is as follows:
EFgross, disorganized＝α％×EFNo tissue, peak+β％×EFUnorganized, normal state+γ％×EFNo tissue, low peak；
Wherein, EFGross, disorganizedIs the unstructured waste coefficient EFWithout tissue(ii) a Alpha%, beta% and gamma% respectively represent the proportion of the production low peak, the production normal state and the production high peak in the statistical period; EFNo tissue, peak、EFUnorganized, normal state、EFNo tissue, low peakAll correspond to EFWithout tissueRespectively, the unstructured emission coefficients corresponding to the production low peak, production normality and production high peak, and EFWithout tissueThe calculation formula of (2) is as follows:
when the industry type of enterprise is solvent use,
wherein, EFThe structure of the artificial bone is not organized,use of a solventRepresenting the unorganized pollution discharge coefficient of the corresponding solvent use industry; wiRepresenting the input amount of the ith material containing the volatile organic pollutants in the statistical period; WFiRepresenting the mass content of the volatile organic pollutants in the ith material in a statistical period; wjRepresenting the recovery amount of the jth solvent in the statistical period; WFjRepresenting the mass percentage content of the volatile organic pollutants of the jth recovered solvent in the statistical period; wkRepresenting the amount of the kth waste in the statistical period; WFkRepresenting the mass percentage content of the volatile organic pollutants of the kth waste in the statistical period;
corresponding to EFOrganized, on-lineDenotes the first
Organized pollution discharge coefficient of the exhaust funnel adopting an online monitoring method; EFOrganized, manual, mCorresponding to EFOrganized, by handThe organized pollution discharge coefficient of the mth exhaust funnel adopting a manual monitoring method is shown;
is shown as
The treatment efficiency of the exhaust funnel adopting on-line monitoring; etamThe treatment efficiency of the mth exhaust funnel adopting on-line monitoring is shown; a represents the corresponding value of the target continuous variable influence factor in a statistical period;
wherein, EFOrganized, on-lineRepresenting organized pollution discharge coefficients using an online monitoring method; ciRepresenting the measured average emission concentration at the ith hour; qiRepresents the amount of exhaust gas at the i-th hour(ii) a n represents the number of hours within the statistical period;
wherein, EFOrganized, by handRepresenting organized pollution discharge coefficients using a manual monitoring method; c. CiRepresenting the measured average emission concentration of the ith time; n represents the total number of manual monitoring; qi represents the amount of exhaust gas in the ith hour; n represents the number of monitoring times in the statistical period; h represents the duration of the statistical period;
when the industry type of the enterprise is solvent processing,
wherein, EFUnstructured, solvent processingRepresenting the unorganized pollution discharge coefficient of the corresponding solvent processing industry; eiAnd the discharge amount of the i-th unorganized pollutant source item determined according to the unorganized discharge characteristics in the statistical period is shown.
2. The method of calculating the amount of inorganically emitted volatile organic pollutants according to claim 1, further comprising the step of, before calculating the amount of inorganically emitted volatile organic pollutants produced by the enterprise based on the model for calculating inorganically emitted volatile organic pollutants and the production emission dataset:
cleaning the production emission data set to obtain a target data set;
calculating the amount of the unorganized emissions based on the model for calculating the amount of the unorganized emissions and the target dataset.
3. A method of calculating an inorganically emitted quantity of volatile organic pollutants according to claim 1, further comprising the steps of:
acquiring a test data set corresponding to the load interval;
verifying the unstructured emission calculation model by using the test data set to obtain a final unstructured emission calculation model;
calculating the amount of the unorganized emissions based on the final model for calculating the amount of the unorganized emissions and the production emissions dataset.
4. The method of calculating the amount of inorganically emitted volatile organic pollutants according to claim 1, wherein the method of accounting for determining the amount of inorganically emitted volatile organic pollutants based on the industry characteristic and the inorganically emitted characteristic comprises:
when the industry type of the enterprise is determined to be a solvent use industry according to the industry characteristics, the calculation method of the unorganized emission amount comprises the following steps:
wherein E isUse of solvents without tissueRepresenting an unorganized emissions accounting for the solvent use industry; wiRepresenting the input amount of the ith material containing the volatile organic pollutants in the statistical period; WFiRepresenting the mass content of the volatile organic pollutants in the ith material in a statistical period; wjRepresenting the recovery amount of the jth solvent in the statistical period; WFjRepresenting the mass percentage content of the volatile organic pollutants of the jth recovered solvent in the statistical period; wkRepresenting the amount of the kth waste in the statistical period; WFkRepresenting the mass percentage content of the volatile organic pollutants of the kth waste in the statistical period; eOrganized, qRepresents the organized discharge amount of the q-th exhaust pipe; etaqIndicating the treatment efficiency corresponding to the q-th exhaust funnel;
when the industry type of the enterprise is determined to be the solvent processing industry according to the industry characteristics, the calculation method of the unorganized emission amount comprises the following steps:
wherein E isUnstructured, solvent processingRepresenting an unorganized emission accounting for the solvent processing industry; eiAnd the discharge amount of the i-th unorganized pollutant source item determined according to the unorganized discharge characteristics in the statistical period is shown.
5. A method of calculating an inorganically emitted quantity of volatile organic pollutants according to claim 1, wherein the production emission dataset includes: organized on-line monitoring data, organized manual monitoring data, unorganized detection data, process physicochemical parameters and power consumption data of production equipment; the load interval is divided into: low peak production, normal production and high peak production.
6. A method of calculating an inorganically emitted quantity of volatile organic pollutants according to claim 1, wherein the industry characteristics include: industry type, process type, production mode; the unorganized emission features include: unorganized pollution source item and load interval.
7. An unorganized emission of volatile organic pollutants computing system, comprising: the device comprises a first determining module, a first obtaining module, a second determining module, a second obtaining module and a model establishing module;
the first determining module is used for determining the industry characteristics of the enterprise and the unorganized emission characteristics of the enterprise;
the first acquisition module is used for acquiring an initial data set according to the industry characteristics and the unorganized emission characteristics, and selecting a target continuous variable influence factor which has significant correlation with the unorganized emission according to the initial data set;
the second determination module is used for determining an accounting method of the unorganized emission amount according to the industry characteristics and the unorganized emission characteristics;
the second acquisition module is used for dividing the load interval of the enterprise according to the target continuous variable influence factor and acquiring a production and emission data set corresponding to the load interval based on the initial data set;
the model establishing module is used for establishing an unorganized emission calculation model according to the unorganized emission accounting method, and calculating the unorganized emission of the volatile organic pollutants generated by the enterprise based on the unorganized emission calculation model and the production emission data set; the calculation model of the unorganized emission is as follows:
Ewithout tissue＝EFWithout tissue×f(x)；
Wherein E isWithout tissueRepresents the amount of discharge of the amorphous material; EFWithout tissueRepresenting an unorganized emission coefficient; x represents an electric quantity; (x) representing sub models for the electrical quantities, said sub models employing neural network models and/or logistic regression models; the unstructured sewage coefficient EFWithout tissueThe formula is as follows:
EFgross, disorganized＝α％×EFNo tissue, peak+β％×EFUnorganized, normal state+γ％×EFNo tissue, low peak；
Wherein, EFGross, disorganizedIs the unstructured waste coefficient EFWithout tissue(ii) a Alpha%, beta% and gamma% respectively represent the proportion of the production low peak, the production normal state and the production high peak in the statistical period; EFNo tissue, peak、EFUnorganized, normal state、EFNo tissue, low peakAll correspond to EFWithout tissueRespectively, the unstructured emission coefficients corresponding to the production low peak, production normality and production high peak, and EFWithout tissueThe calculation formula of (2) is as follows: when the industry type of enterprise is solvent use,
wherein, EFUse of solvents without tissueRepresenting the unorganized pollution discharge coefficient of the corresponding solvent use industry; wiRepresenting the input amount of the ith material containing the volatile organic pollutants in the statistical period; WFiRepresenting the mass content of the volatile organic pollutants in the ith material in a statistical period; wjRepresenting the recovery amount of the jth solvent in the statistical period; WFjRepresenting the mass percentage content of the volatile organic pollutants of the jth recovered solvent in the statistical period; wkRepresenting the amount of the kth waste in the statistical period; WFkRepresenting the mass percentage content of the volatile organic pollutants of the kth waste in the statistical period;
corresponding to EFOrganized, on-lineDenotes the first
Organized pollution discharge coefficient of the exhaust funnel adopting an online monitoring method; EFOrganized, manual, mCorresponding to EFOrganized, by handThe organized pollution discharge coefficient of the mth exhaust funnel adopting a manual monitoring method is shown;
is shown as
The treatment efficiency of the exhaust funnel adopting on-line monitoring; etamThe treatment efficiency of the mth exhaust funnel adopting on-line monitoring is shown; a represents the corresponding value of the target continuous variable influence factor in a statistical period;
wherein, EFOrganized, on-lineRepresenting organized pollution discharge coefficients using an online monitoring method; ciRepresenting the measured average emission concentration at the ith hour; qiRepresents the amount of exhaust gas at the i-th hour; n represents the number of hours within the statistical period;
wherein, EFOrganized, by handRepresenting organized pollution discharge coefficients using a manual monitoring method; c. CiRepresenting the measured average emission concentration of the ith time; n represents the total number of manual monitoring; qi represents the amount of exhaust gas in the ith hour; n represents the number of monitoring times in the statistical period; h represents the duration of the statistical period;
when the industry type of the enterprise is solvent processing,
wherein, EFUnstructured, solvent processingRepresenting the unorganized pollution discharge coefficient of the corresponding solvent processing industry; eiAnd the discharge amount of the i-th unorganized pollutant source item determined according to the unorganized discharge characteristics in the statistical period is shown.
8. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for calculating the amount of inorganically emitted volatile organic pollutants according to any one of claims 1 to 6.
9. A terminal, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory to make the terminal execute the method for calculating the amount of the inorganically emitted volatile organic pollutants according to any one of claims 1 to 6.
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