CN114662975A - Method, apparatus, electronic device and storage medium for determining a source of a contaminant - Google Patents
Method, apparatus, electronic device and storage medium for determining a source of a contaminant Download PDFInfo
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Abstract
The invention provides a method, a device, an electronic device and a storage medium for determining a pollutant source, comprising the following steps: determining a first set and a second set according to the contribution values of Volatile Organic Compounds (VOCs) and conventional gas pollutants to pollution source factors; wherein the first set comprises the first n indicators of the VOCs with the largest contribution to the pollution source factor, and the second set comprises the first m indicators of the conventional gaseous pollutants with the largest contribution to the pollution source factor; the type of the pollution source factor is determined from the first set and the second set. When the pollution source factor type of the VOCs detected at the receptor is determined, the contribution value of the conventional polluted gas to the pollution source factor is utilized to assist in judging the type of the pollution source factor, and the technical problem that the type of the pollution source cannot be determined when part of key indicators for judging the type of the pollution source of the VOCs is missing can be solved.
Description
Technical Field
The present invention relates to the field of environmental protection technologies, and in particular, to a method and an apparatus for determining a source of a contaminant, an electronic device, and a storage medium.
Background
Because of the importance of VOCs (Volatile Organic Compounds) in urban and regional environmental issues, the recognition and understanding of their sources has become an important task in the prevention and control of VOCs pollution. Receptor model-based resolution is the most common source method. The pollution indicators are generally the basis for qualitative judgment of the source, and refer to the characteristic species that a certain type of pollution source is distinguished from other emission sources.
The indicator generally has the following properties: (1) these species reflect information about specific sources of pollution, representing only one type of emission source and not others; (2) the chemical property is stable, and the original state is kept in the transmission process. By observing the change of the environmental concentration of the indicator, certain pollution sources in the atmospheric VOCs, such as automobile exhaust, contain benzene series compounds, alkanes, aldehydes and ketones and other compounds, while the paint mainly takes the benzene series compounds as main compounds, VOCs discharged from different discharge sources are released into the atmosphere and are diluted, mixed and diffused to become the main components of samples collected by sampling points.
However, the VOCs are more in variety and complex in source; meanwhile, the data quality is difficult to guarantee in the monitoring process, and the specific sources of the pollutants are sometimes difficult to determine due to invalid or missing data of part of indicator factors.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, an electronic device, and a storage medium for determining a source of a pollutant, so as to solve the problem that the type of the source of the pollutant cannot be determined when a part of the key indicators is missing.
According to an aspect of the invention, there is provided a method of determining the source of a contaminant, comprising:
determining a first set and a second set according to the contribution values of Volatile Organic Compounds (VOCs) and conventional gas pollutants to pollution source factors; wherein the first set comprises the first n indicators of the VOCs with the largest contribution to the pollution source factor, and the second set comprises the first m indicators of the conventional gaseous pollutants with the largest contribution to the pollution source factor;
the type of the pollution source factor is determined from the first set and the second set.
Further, determining the type of the pollution source factor from the first set and the second set includes:
sequentially comparing the first set with at least one piece of data of a first type, comprising:
sequentially determining whether the indicators contained in each piece of first type data are included in a set formed by a first set and a second set, and if the indicators contained in one piece of first type data are determined to be included in the set formed by the first set and the second set, determining the type of the pollution source factor as the type corresponding to the piece of first type data;
wherein each first type of data includes at least one indicator for determining a pollution source factor as a type of VOCs and at least one indicator for normal gas pollutants.
Further, before comparing the first set with at least one piece of the first type data in sequence, the method further includes:
sequentially determining whether the indicators contained in each piece of second type data are included in the first set, and if the indicators contained in one piece of second type data are determined to be included in the first set, determining the type of the pollution source factor as the type corresponding to the piece of second type data;
wherein each second type of data includes at least one indicator for determining the contamination source factor as being a type of VOCs.
Further, m + n ≧ the number of indicators included in the first type of data.
Further, m ≧ the number of indicators included in the second type of data.
Further, before determining the first set and the second set according to the contribution values of the volatile organic compounds VOCs and the conventional gaseous pollutants to the pollution source factor, the method further includes:
inputting at least one sample datum into an orthogonal matrix factorization (PMF) model to obtain contribution values of all indicators in the VOCs and the conventional polluted gas to the pollution source factor through the PMF model; wherein each sample data includes the concentration of all indicators in the VOCs and the normal contaminant gas.
Further, the conventional pollution gas includes PM10、NO2NO, other nitrogen oxides, SO2And CO.
Further, the VOCs include at least one of alkanes, alkenes, alkynes, aromatics, and halogenated hydrocarbons.
According to another aspect of the present invention, there is provided a contaminant source desorption apparatus, comprising:
the first determining module is used for determining a first set and a second set according to the contribution values of the Volatile Organic Compounds (VOCs) and the conventional gas pollutants to the pollution source factors; wherein the first set comprises the first n indicators of the VOCs with the largest contribution to the pollution source factor, and the second set comprises the first m indicators of the conventional gaseous pollutants with the largest contribution to the pollution source factor;
and the second determination module is used for determining the type of the pollution source factor according to the first set and the second set.
According to another aspect of the present invention, there is provided an electronic apparatus including:
a processor; and
a memory for storing a program, wherein the program is stored in the memory,
wherein the program comprises instructions which, when executed by a processor, cause the processor to perform a method according to any of the above.
According to another aspect of the invention, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform a method according to any of the above.
According to one or more technical schemes provided in the embodiment of the application, when the pollution source factor type of the VOCs measured at the receptor is determined, the contribution value of the conventional pollution gas to the pollution source factor is utilized to assist in judging the type of the pollution source factor, so that the technical problem that the type of the pollution source cannot be determined when part of key indicators for judging the type of the pollution source of the VOCs is absent can be solved.
Drawings
FIG. 1 illustrates a flow chart of a method of determining a source of a contaminant in accordance with an exemplary embodiment of the present invention;
FIG. 2 shows a schematic block diagram of an apparatus for determining a source of a contaminant in accordance with an exemplary embodiment of the present invention;
FIG. 3 illustrates a block diagram of an exemplary electronic device that can be used to implement an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description. It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present invention are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Aspects of the invention are described below with reference to the accompanying drawings, fig. 1 shows a flow chart of a method of determining a source of a contaminant, according to an exemplary embodiment of the invention, the method 100 comprising:
step S101, determining a first set and a second set according to contribution values of Volatile Organic Compounds (VOCs) and conventional gas pollutants to pollution source factors; wherein the first set comprises the first n indicators of the VOCs with the largest contribution to the pollution source factor, and the second set comprises the first m indicators of the conventional gaseous pollutants with the largest contribution to the pollution source factor;
and S102, determining the type of the pollution source factor according to the first set and the second set.
The method for determining the source of the pollutant is used for determining the type of each pollution source factor obtained by analyzing the receptor model. The receptor model can analyze the contribution value of each indicator to the pollution source factor according to the concentration of each indicator (namely, the pollutant for judging the pollution source) of VOCs measured at the receptor. The type of the contamination source factor is determined by the contribution value of each indicator to the contamination source factor. The types of pollution source factors may include industrial dust, road dust, construction dust, smoke dust, industrial waste gas, waste straw incineration, power plants, smelting of sulfur-containing ores, chemical industry, oil refining, motor vehicle emissions, and the like. Determining the type of a contamination source factor requires the contribution of specific indicators. However, in practical applications, a situation may occur in which data quality is difficult to guarantee during the monitoring process, resulting in a situation where a part of the indicators of the VOCs used for determining the pollution source factor is missing, or a situation in which the contribution value of one or more VOCs is relatively high but the type of the pollution source factor cannot be determined explicitly due to the complicated sources of the VOCs.
The embodiment of the invention simultaneously utilizes the conventional pollution gas (related to the type of pollution source factors) as the indicator on the basis of utilizing VOCs as the indicator. The type of the contamination source factor cannot be determined unambiguously by using the indicator (i.e., the first set) with the higher contribution value in the VOCs. The reasons for this are: the contribution degree of the pollution source factor to a specific type of indicator is high, and due to the limitation of measurement capability, the concentration of all indicators corresponding to a certain type of pollution source factor may not be obtained, so that one or more indicators are absent in the finally obtained indicators with high contribution values.
And further judging the type of the pollution source factor by utilizing the indicator (namely the second set) with a higher contribution value in the conventional polluted gas and combining the indicator set with the higher contribution value obtained above to obtain the type of the pollution source factor. When the type of the pollution source factor is judged, the contribution value of the pollution gas related to the pollution source factor is referred, so that the type of the pollution source factor can be judged more accurately. For example, when the contribution values of the three indicators "ABC" in the VOCs of the existing method to the pollution source factor are high, it is determined that the pollution source factor is the source of the vehicle. The concentration of C cannot be obtained in actual measurement, and thus the contribution value of C to the contamination source factor cannot be obtained. The contribution of "AB" to the pollution source factor is only obtained to be high, and the type of the pollution source factor cannot be determined by the indicator in the VOCs alone. According to the analysis, the contribution value of 'EF' in the conventional polluted gas to the pollution source factor is high, and the motor vehicle can emit a large amount of 'EF' according to the experience, so that the type of the pollution source factor can be determined to be the motor vehicle source according to the 'ABEF'.
Wherein, the values of m and n can be the same or different. Taking m as an example, two indicators with the largest contribution value correspond to the indicator with the largest contribution value and the indicator with the second largest contribution value.
Further, the conventional pollution gas includes PM10、NO2NO, other nitrogen oxides, SO2And CO.
Specifically, the reasons for judging the types of pollution source factors of VOCs from the conventional polluted gas are: the discharge of other pollutants can be accompanied in the discharge process of VOCs, and PM is added into the conventional polluted gas10Mainly comes from industrial dust, road dust construction dust, smoke dust, industrial waste gas and waste straw incineration; SO (SO)2From the combustion of sulfur-containing fuels, such as power plants, the smelting of sulfur-containing ores, industrial processes in chemical industry, oil refining and the like; NO is mainly directly discharged from mobile sources such as diesel trucks and the like; NO2 and NOxThe system is mainly characterized by comprising a mobile source and a fixed source, wherein the mobile source is mainly discharged by tail gas of a motor vehicle, and the fixed source is mainly discharged by thermal power generation, industrial combustion and the like; CO mainly comes from motor vehicle exhaust and incomplete emissions of coal combustion. Since these conventional pollution gases have homology with some of the sources of VOCs species, they can be used as an index to identify the primary emission source.
Further, determining the type of the pollution source factor from the first set and the second set includes: sequentially comparing the first set with at least one piece of data of the first type, including: sequentially determining whether the indicators contained in each piece of first type data are included in a set formed by a first set and a second set, and if the indicators contained in one piece of first type data are determined to be included in the set formed by the first set and the second set, determining the type of the pollution source factor as the type corresponding to the piece of first type data; wherein each first type of data includes at least one indicator for determining a pollution source factor as a type of VOCs and at least one indicator for normal gas pollutants.
In practical application, the type of the pollution source factor is judged according to a template for judging the type of the pollution source factor. The template includes the names of several indicators that contribute most to determine the type of pollution source factor. Common method templates include only a few indicators of VOCs. The template (first type of data) of the embodiments of the present application may include several indicators in VOCs and several indicators in common contaminated gases. Compared with the several indicators in the VOCs in the common template, the types of the indicators in the VOCs included in the first type data of the embodiment of the present application may be relatively small (certain partial indicators), and the determination may be assisted by the several indicators in the common contaminated gas to obtain the same determination result. For example, "ABC" is a common template, ABCs are all indicators in VOCs, and templates that can be used to determine the pollution source factor as a source of an automobile. The template of the embodiment of the application can be 'ABEF', and can also be used as a template for judging the source of the motor vehicle, AB is an indicator in VOCs, and EF is an indicator in common polluted gas.
Additionally, "included" means that at least all of the indicators in the first type of data are included in the first set and the second set. For example, the predetermined first set includes two indicators and the second set includes three indicators, and the contribution values of all indicators at the receptor are obtained according to the concentration data measured at the receptor and the receptor model, "AB" is the two indicators with the largest contribution values in the VOCs, and "DEF" is the three indicators with the largest contribution values in the conventional pollutant gas. The first set and the second set include an indicator of "ABDEF", and a template "ABEF" for determining a source of the motor vehicle according to an embodiment of the present application is included in the "ABDEF", and the type of the pollution source factor is determined to be the source of the motor vehicle.
The number of indicators included in the first set and the number of indicators included in the second set may be predetermined, and the indicators in the first set and the second set are extracted by number from all indicators based on the magnitude of the contribution. In addition, the number of indicators included in the first set and the second set should be greater than or equal to the number of indicators in the first type of data. If the number of indicators in the first type of data is greater than the number of indicators included in the first set and the second set, the indicators included in the first set and the second set cannot include the indicators in the first type of data.
Further, m + n ≧ the number of indicators included in the first type of data.
Further, before comparing the first set with at least one piece of the first type data in sequence, the method further includes: sequentially determining whether the indicators contained in each second type of data are included in the first set, and if the indicators contained in one second type of data are determined to be included in the first set, determining the type of the pollution source factor as the type corresponding to the second type of data; wherein each second type of data includes at least one indicator for determining the contamination source factor as being a type of VOCs.
Specifically, before the conventional pollutant gas is used as the indicator to determine the type of the pollution source factor causing the VOCs, the conventional method may be used to verify that the type of the pollution source factor is determined only by the indicator in the VOCs, and if the indicator is not missing in the VOCs, the type of the pollution source factor may be determined only by the contribution value of the indicator in the VOCs, that is, the template (second type data) used as the determination is at least one indicator in the VOCs.
Further, m ≧ the number of indicators included in the second type of data.
Specifically, the determination of the type of pollution source factor from the data in the following table of contribution values of all indicators in VOCs and conventional polluted gases is illustrated. The following table is the contribution of each pollutant (VOCs and conventional pollutant gas) from the actual measured pollutant concentration for the receptor model. There were 7 contamination source factors (factors) in total. And a behavior judgment result at the bottom of the table.
The manner of judging the 7 pollution source factors is as follows:
(1) among factors (contamination source factors) 1, species having a very high contribution ratio are halogenated hydrocarbons (first group) such as ethyl chloride, methyl bromide, etc.; simultaneous PM10And CO (second set), etc., as an indicator of an industrial combustion source, thus judging the type of the factor as a chlorination process;
(2) in the factor 2, the species with very high contribution ratio are the alkene (a first set) such as cis-2-butene, 1, 3-butadiene and the like, the contribution value of the conventional polluted gas to the factor 2 is very low, and the factor is judged as organic chemical engineering without consideration;
(3) of the factors 3, short-chain hydrocarbons such as 2,2, 4-trimethylpentane, 2,3, 4-trimethylpentane and the like are taken as characteristic species of the motor vehicle (first set); however, in the absence of indicators such as acetaldehyde and acetone in OVOCS species for further source identification, the addition of conventional pollutant gases for the discovery of NO and NOx (other nitrogen oxides, namely NO and NO)2Nitrogen oxides other than nitrogen oxides), NO2As a key indicator of motor vehicles, there is a high contribution ratio in this factor, so factor 3 is an organic source of motor vehicles;
(4) in the factor 4, short-chain hydrocarbons such as propane, n-pentane and the like have high proportion and are key species in traffic mobile sources and petroleum processes; but NO, NOx, NO in the conventional pollution gas2As a key indicator of vehicle emissions, there is NO significant contribution in this factor, and therefore a template comprising VOCs and conventional pollutant gases is utilized (first type data comprising propane, n-pentane, NO, NOx, NO)2) A determination is made that the factor is determined to be hydrocarbon volatilization (resulting in a hydrocarbon volatilization type).
(5) The factor 5, m/p-xylene and o-xylene, which are mainly used as solvents, also contribute very high to the factor, and are therefore identified as solvent volatiles (which can be disregarded because of the low contribution of conventional contaminant gases).
(6) Among factor 6, Freon-11, Freon-12, Freon-113 and the like are long-life species in the atmosphereMostly, background concentration; at the same time, the sampling time is in the heating season, SO2High contribution ratio, NO2NO, NOx, CO also have certain contributions (the first type of data are Freon-11, Freon-12, Freon-113, SO)2、NO2NO, NOx, CO) to localize this factor to a local source.
(7) Factor 7, ethane, ethylene, NO, SO2(first type data) and the like, as indicator species in the combustion process, the contribution ratio is higher, this factor is located to the fuel combustion source.
The above contribution values of VOCs and conventional pollutant gases to the pollution source factor can be obtained by the following method:
further, before determining the at least one first indicator and the at least one second indicator according to the contribution values of the VOCs and the conventional pollutant gas to the pollution source factor, the method further comprises: inputting at least one sample datum into an orthogonal matrix factorization (PMF) model to obtain contribution values of all indicators in the VOCs and the conventional polluted gas to the pollution source factor through the PMF model; wherein each sample data includes the concentration of all indicators in the VOCs and the normal contaminant gas.
The PMF (Positive Matrix Factorization) model can be implemented according to the following two formulas:
in the formula, chiijRepresenting the concentration of the j indicator in the i sample; g is a radical of formulaikIs the relative contribution of the kth source to the ith sample; f. ofkiIs the content of the indicator of j in the kth contamination source factor; e.g. of a cylinderijIs the residual error. p is the number of sources, and for a given value of p, solving the minimum of the following objective function, the result of the sum can be obtained.
The formula is an objective function, wherein m isThe number of samples, j the number of species, p a factor, Q is the uncertainty in sample i for species j in each raw data. The species sample is treated as an nxm matrix X (χ)ijComposition) where m is the number of samples, n is the measured composition of the VOCs, and the matrix X is decomposed into a matrix G (G) of the contribution of m p sources of contaminationijComposition) and p × n of a contamination sourcekjComposition) where p is the number of factors. The PMF model finds the contribution value of the pollution source and the spectrum value matrix of the pollution source which accord with X by searching the minimum value of the objective function by using the input VOCs data matrix X. The PMF model finds the contribution value of the pollution source factor and the spectrum matrix of the pollution source according with the X by searching the minimum value of the objective function by utilizing the input concentration data matrix X of the VOCs and the conventional pollution gas, and the contribution value of each indicator to the pollution source factor is obtained.
Further, the VOCs include at least one of alkanes, alkenes, alkynes, aromatics, and halogenated hydrocarbons.
Further, the alkane includes at least one of ethane, propane, isobutane, n-butane, isopentane, n-pentane, cyclopentane, 2, 3-dimethylbutane, 2-methylpentane, 3-methylpentane, n-hexane, 2-methylhexane, 2, 4-trimethylpentane, n-heptane, 2-methylheptane, n-octane, n-nonane, n-decane, undecane, or dodecane.
Further, the olefin includes at least one of 1-pentene, or/and, 1, 3-butadiene.
Further, the aromatic hydrocarbon includes at least one of benzene, toluene, ethylbenzene, styrene, o-xylene, 1,3, 5-trimethylbenzene, or 1,2, 4-trimethylbenzene.
FIG. 2 shows a schematic block diagram of an apparatus for determining a source of a contaminant in accordance with an exemplary embodiment of the present invention; the apparatus 200 comprises:
the first determining module 210 determines a first set and a second set according to the contribution values of the Volatile Organic Compounds (VOCs) and the conventional gas pollutants to the pollution source factor; wherein the first set comprises the first n indicators of the VOCs with the largest contribution to the pollution source factor, and the second set comprises the first m indicators of the conventional gaseous pollutants with the largest contribution to the pollution source factor;
and a second determination module 220 for determining the type of the pollution source factor according to the first set and the second set.
An exemplary embodiment of the present invention provides an electronic device including: a processor; and a memory storing a program, wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any of the above.
An exemplary embodiment of the present invention provides a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to execute the method according to any one of the above.
An exemplary embodiment of the present invention also provides an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor, the computer program, when executed by the at least one processor, is for causing the electronic device to perform a method according to an embodiment of the invention.
Exemplary embodiments of the present invention also provide a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is operable to cause the computer to perform a method according to an embodiment of the present invention.
Exemplary embodiments of the present invention also provide a computer program product comprising a computer program, wherein the computer program is operative, when executed by a processor of a computer, to cause the computer to perform a method according to an embodiment of the present invention.
Fig. 3 shows a block diagram of an exemplary electronic device that can be used to implement an embodiment of the invention, and with reference to fig. 3, an electronic device 300 is an example of a hardware device that can be applied to aspects of the invention. Electronic device 300 is intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device 300 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 300 includes a computing unit 301 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)302 or a computer program loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The calculation unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
A number of components in the electronic device 300 are connected to the I/O interface 305, including: an input unit 306, an output unit 307, a storage unit 308, and a communication unit 309. The input unit 306 may be any type of device capable of inputting information to the electronic device 300, and the input unit 306 may receive input numeric or character information and generate key signal inputs related to user settings and/or function control of the electronic device. Output unit 307 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, a video/audio output terminal, a vibrator, and/or a printer. Storage unit 304 may include, but is not limited to, magnetic or optical disks. The communication unit 309 allows the electronic device 300 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers, and/or chipsets, such as bluetooth (TM) devices, WiFi devices, WiMax devices, cellular communication devices, and/or the like.
The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 301 performs the various methods and processes described above. For example, in some embodiments, the method 100 may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 308. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 300 via the ROM 302 and/or the communication unit 309. In some embodiments, the computing unit 301 may be configured to perform the method 100 by any other suitable means (e.g., by means of firmware).
Program code for implementing the methods of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
Claims (11)
1. A method of determining a source of a contaminant, comprising:
determining a first set and a second set according to the contribution values of Volatile Organic Compounds (VOCs) and conventional gas pollutants to pollution source factors; wherein the first set includes the first n indicators of VOCs having the greatest contribution to the pollution source factor, and the second set includes the first m indicators of the normal gaseous pollutants having the greatest contribution to the pollution source factor;
determining a type of the pollution source factor from the first set and the second set.
2. The method of claim 1, wherein determining the type of the pollution source factor from the first set and the second set comprises:
sequentially comparing the first set with at least one piece of first type data, comprising:
sequentially determining whether the indicators contained in each piece of the first type data are included in the set formed by the first set and the second set, and if it is determined that the indicators contained in one piece of the first type data are included in the set formed by the first set and the second set, determining the type of the pollution source factor as the type corresponding to the piece of the first type data;
wherein each of the first type of data includes at least one indicator of the VOCs and at least one indicator of the normal gas pollutants for determining the pollution source factor as one type.
3. The method of claim 1, wherein prior to sequentially comparing the first set to at least one of the first type of data, further comprising:
sequentially determining whether the indicator contained in each piece of the second type data is included in the first set, and if the indicator contained in one piece of the second type data is determined to be included in the first set, determining the type of the pollution source factor as the type corresponding to the piece of the second type data;
wherein each of the second type of data includes at least one indicator for determining that the pollution source factor is a type of the VOCs.
4. The method of claim 2,
m + n is greater than or equal to the number of indicators contained in the first type of data.
5. The method of claim 3,
m.gtoreq.the number of indicators contained in the second type of data.
6. The method of claim 1, wherein before determining the first set and the second set based on the contribution of the VOCs and the normal gas pollutants to the pollution source factor, further comprises:
inputting at least one sample datum into an orthogonal matrix factorization (PMF) model to obtain contribution values of all indicators in the VOCs and the conventional polluted gas to the pollution source factor through the PMF model; wherein each sample data includes the concentrations of all indicators in the VOCs and the conventional contaminated gas.
7. The method according to any one of claims 1 to 6,
the conventional pollution gas includes PM10、NO2NO, other nitrogen oxides, SO2And CO.
8. The method according to any one of claims 1 to 6,
the VOCs include at least one of alkanes, alkenes, alkynes, aromatics, and halocarbons.
9. An apparatus for resolving a source of a contaminant, comprising:
the first determining module is used for determining a first set and a second set according to the contribution values of the Volatile Organic Compounds (VOCs) and the conventional gas pollutants to the pollution source factors; wherein the first set includes the first n indicators of VOCs having the greatest contribution to the pollution source factor, and the second set includes the first m indicators of the normal gaseous pollutants having the greatest contribution to the pollution source factor;
a second determination module that determines a type of the pollution source factor from the first set and the second set.
10. An electronic device, comprising:
a processor; and
a memory for storing a program, wherein the program is stored in the memory,
wherein the program comprises instructions which, when executed by the processor, cause the processor to carry out the method according to any one of claims 1-8.
11. A non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method according to any one of claims 1-8.
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