Tracing method and device

Abstract

The embodiment of the invention discloses a traceability method and device. The traceability method comprises the following steps: acquiring a component spectrum to be traced of a target site; on the basis of the component spectrum to be traced, through clustering analysis, comparing with a preset pollutant fingerprint spectrum database, and determining a suspected pollutant emission enterprise; and determining the pollutant discharge enterprise based on a distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant discharge enterprise.

Description

Technical Field

[0001] The present invention relates to the field of traceability technology, and in particular to a traceability method and device. Background Art

[0002] The sources of pollution in industrial parks involve many industries and many material components. They may come from one enterprise or multiple enterprises. After the pollution is discharged into the atmosphere, it is affected by meteorological conditions such as temperature, pressure, wind direction, wind speed, and the pollution emission cycle. Even if the pollutants can be monitored, it is difficult to quickly identify the source of the pollution.

[0003] In the existing technology, the methods of tracing the source of pollutants in industrial parks mainly include cruise monitoring, manual tracing inspection, etc. The methods used in the existing technology require a large amount of manpower, material and financial resources, require large-scale tracing work, and have poor timeliness in tracing, which is not conducive to the timely discovery of pollution sources and timely pollution control.

[0004] Based on this, a new traceability method is needed. Summary of the invention

[0005] The embodiments of this specification provide a tracing method and device for solving the following technical problems: The pollutant tracing method adopted in the prior art requires a large amount of manpower, material and financial resources, requires tracing work to be carried out over a large area, and has poor timeliness in tracing, which is not conducive to promptly discovering the pollution source and carrying out pollutant control in a timely manner.

[0006] The embodiment of this specification also provides a traceability method, which includes: Obtain the spectrum of components to be traced at the target site; Based on the spectrum of the components to be traced, the suspected pollutant-emitting enterprises are identified by comparing the spectrum with a preset pollutant fingerprint library through cluster analysis; The pollutant-emitting enterprise is determined based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise.

[0007] The embodiment of this specification also provides a traceability device, which includes: An acquisition module is used to obtain the spectrum of components to be traced at the target site; The first determination module determines the suspected pollutant-emitting enterprise by comparing the spectrum of the component to be traced with a preset pollutant fingerprint library through cluster analysis; The second determination module determines the pollutant-emitting enterprise based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise.

[0008] The traceability method provided in the embodiments of this specification obtains the spectrum of components to be traced at the target site; based on the spectrum of components to be traced, compares it with a preset pollutant fingerprint library through cluster analysis to determine the suspected pollutant emitting enterprise; based on the distance coefficient between the spectrum of components to be traced and the component spectrum of the suspected pollutant emitting enterprise, the pollutant emitting enterprise is determined, which can reduce the labor cost of tracing, quickly and accurately identify the source of volatile organic compound pollution in industrial parks, improve the accuracy of tracing, and ultimately achieve accurate guidance for tracing work. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0010] Figure 1 A schematic diagram of the system architecture of a traceability method provided in an embodiment of this specification; Figure 2 A flowchart of a traceability method provided in an embodiment of this specification; Figure 3 A schematic diagram of the construction process of the pollutant fingerprint library provided in the embodiments of this specification; Figure 4 A flowchart of another source tracing method provided in an embodiment of this specification; Figure 5 A schematic diagram of a traceability device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0011] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0012] Cruise monitoring refers to using a cruise vehicle to conduct a carpet inspection of the park, accurately locate high-value pollution areas, and analyze the composition of pollution factors in combination with portable detectors. Manual source tracing inspection refers to a method that mainly relies on manual inspections and uses portable detectors to trace the source of pollutants.

[0013] In view of the drawbacks of the prior art traceability method, the embodiments of this specification provide a traceability method.

[0014] Figure 1 A schematic diagram of the system architecture of a traceability method provided in an embodiment of this specification. Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0015] The terminal devices 101, 102, 103 interact with the server 105 via the network 104 to receive or send messages, etc. Various client applications may be installed on the terminal devices 101, 102, 103, such as dedicated programs for performing source tracing methods, etc.

[0016] The terminal devices 101, 102, 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various dedicated or general electronic devices, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, etc. When the terminal devices 101, 102, 103 are software, they may be installed in the electronic devices listed above. They may be implemented as multiple software or software modules (e.g., multiple software or software modules for providing distributed services), or they may be implemented as a single software or software module.

[0017] The server 105 may be a server that provides various services, such as a backend server that provides services for client applications installed on the terminal devices 101, 102, and 103. For example, the server may perform source tracing so as to display the source tracing results on the terminal devices 101, 102, and 103, or the server may perform source tracing so as to display the source tracing results on the server 105.

[0018] The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When the server 105 is software, it may be implemented as multiple software or software modules (e.g., multiple software or software modules for providing distributed services), or as a single software or software module.

[0019] Figure 2A flow chart of a traceability method provided in an embodiment of this specification. From a program perspective, the execution subject of the process can be a program installed on an application server or an application terminal. It can be understood that the method can be executed by any device, equipment, platform, or equipment cluster with computing and processing capabilities. The traceability method is used to trace the source of volatile organic pollutants in industrial parks. Figure 2 As shown, the traceability method includes: Step S201: Obtain the spectrum of components to be traced at the target site.

[0020] In this embodiment, the target site is an area affected by pollution emissions. Specifically, the target site may be: a residential area, an area with many pollution complaints, or an area where pollution has occurred before.

[0021] Specifically, the target site is determined by cruise screening and grid point monitoring methods. At the same time, the target site can be updated to ensure the accuracy of the target site and achieve accurate tracing of the pollution source.

[0022] The component to be traced is a volatile organic compound, and the component to be traced is generally composed of multiple components.

[0023] Step S203: Based on the spectrum of the components to be traced, cluster analysis is performed and compared with a preset pollutant fingerprint library to determine the suspected pollutant-emitting enterprises.

[0024] Due to the high pollution emission intensity in industrial parks, the pollutant composition is complex, including volatile organic compounds, inorganic substances and odorous substances, etc. The pollution distribution is uneven and regional. The closer to the enterprise, the greater the pollution intensity, and the pollution emission time is irregular and sudden. The sources of pollution involve many industries and many material components. They may come from one enterprise or from multiple enterprises. After the pollution is discharged into the atmosphere, it is affected by meteorological conditions such as temperature, pressure, wind direction, wind speed, and the pollution emission cycle. Even if the pollutants can be monitored, it is difficult to quickly lock the source of pollution. Through the establishment of an enterprise pollution component spectrum library, the source of pollution emissions is clarified, and the chemical composition of pollutants is quantified to accurately lock the pollution-emitting enterprises. In the embodiments of this specification, the construction of the pollutant fingerprint spectrum library includes: Collect data and information about businesses in the target area; Extracting characteristic components and contents from the data information; Based on the characteristic components and their contents, a pollutant fingerprint library is constructed, and the pollutant fingerprint library is dynamically updated in real time through a linear regression model.

[0025] In this embodiment, the enterprise's data information includes: monitoring data, environmental impact assessment report, pollutant discharge permit, process data, and production process.

[0026] In the embodiment of this specification, the pollutant fingerprint library is dynamically updated in real time through a linear regression model, specifically including: The pollutant fingerprint library establishes a multi-dimensional feature vector through a data matrix; The multi-dimensional feature vector updates the pollutant components in the pollutant fingerprint library in real time through the linear regression model.

[0027] In the embodiment of this specification, the linear regression model expression is:

[0028] y=

[0029] in, y represents the linear regression model; represents GC-MS data; Indicates production process parameter data; Indicates equipment operation data; Represents raw material data; Indicates environmental monitoring data; express The corresponding regression coefficients; express The corresponding regression coefficients; express The corresponding regression coefficients; express The corresponding regression coefficients; express The corresponding regression coefficients; represents the intercept; represents the error term.

[0030] Data matrix refers to the use of tables to organize data into a matrix form for analysis. In practice, each row of the data matrix represents a sample (i.e., the measured value at a certain point in time and under certain process conditions), and each column represents a feature. The establishment of the data matrix can reflect the relationship between pollutant concentration and various production factors, calculate the pollutant concentration under different process conditions, and form a continuously improved and real-time updated pollutant component spectrum library.

[0031] Table 1 is an example of a data matrix.

[0032] Table 1

[0033]

[0034] In Table 1, all the data in the table are used as input features (X), and the predicted pollutant concentration is used as the output target (y). The model formula of linear regression is:

[0035] .

[0036] In this embodiment, GC-MS data refers to data obtained through GC-MS detection, including but not limited to: chemical composition information and content or concentration, usually the type and concentration of pollutants; production process parameters refer to parameters related to the production process, including but not limited to: temperature, pressure, flow rate, humidity; equipment operation data refers to parameters related to the working status of the equipment, including but not limited to: equipment power, equipment operating time; raw material data refers to parameters of raw materials, including but not limited to: chemical composition and proportion of main raw materials; environmental monitoring data refers to environmental data when tracing the source of pollutants, including but not limited to: temperature, humidity, wind speed.

[0037] Since the spectrum of components to be traced at the target site may contain multiple components, in order to quickly identify the suspected pollutant-emitting enterprises, it is necessary to perform cluster analysis on the components to be traced.

[0038] In the embodiment of this specification, the suspected pollutant-emitting enterprise is determined by comparing the spectrum of the component to be traced with a preset pollutant fingerprint library through cluster analysis, specifically including: Using the K-means algorithm, the similarity calculation is performed between the spectrum of the component to be traced and the preset pollutant fingerprint library to determine the pollutant category to which the spectrum of the component to be traced belongs, and the similarity calculation adopts the Euclidean distance; Based on the pollutant categories, enterprises suspected of pollutant emission are identified.

[0039] In the embodiments of this specification, the pollutant categories include: Alkanes, alkenes, aromatic hydrocarbons, esters, halogenated hydrocarbons.

[0040] Specifically, alkanes mainly refer to n-hexane, isopentane, etc.; olefins mainly refer to ethylene, propylene, etc.; aromatic hydrocarbons mainly refer to benzene, toluene, xylene, etc.; esters mainly refer to ethyl acetate, acrylate, etc.; halogenated hydrocarbons mainly refer to trichloroethylene, carbon tetrachloride, etc.

[0041] In order to further understand the construction of the pollutant fingerprint library provided in the embodiments of this specification, Figure 3 The following is a schematic diagram of the construction process of the pollutant fingerprint library provided in the embodiments of this specification. Figure 3 As shown, the construction of the pollutant fingerprint library includes: Step S301: Collect data information of enterprises in the target area; Step S303: performing data cleaning and data analysis on the data information to obtain pre-processed data information; Step S305: extracting characteristic components and contents from the preprocessed data information; Step S307: Based on the characteristic components and contents, a pollutant fingerprint library is constructed, and the pollutant fingerprint library is dynamically updated in real time through a linear regression model.

[0042] Step S309: Determine the pollutant-emitting enterprise based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise.

[0043] In the embodiment of this specification, the determining of the pollutant-emitting enterprise based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise specifically includes: Determine the distance coefficient based on the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise; The enterprise corresponding to the smallest distance coefficient is regarded as the pollutant-emitting enterprise;

[0044] Wherein, the distance coefficient is:

[0045]

[0046] in, represents the distance coefficient; a i Indicates the concentration of the component of the suspected pollutant-emitting enterprise; b i Represents the spectrum of the component to be traced.

[0047] As mentioned above, the component to be traced is multi-component. Therefore, when calculating the distance coefficient, all components included in the component to be traced should be considered. i represents the component i included in the component to be traced, and the value of i is 1-n.

[0048] It should be noted that a i With b i The corresponding component spectra are consistent.

[0049] Since there may be a situation where the distance coefficients are the same, resulting in two pollutant-emitting enterprises, in the embodiment of this specification, the method further includes: If the number of the pollutant-emitting enterprises is greater than or equal to 2, the final pollutant-emitting enterprise is determined based on the fall-point concentration corresponding to the spectrum of the component to be traced.

[0050] In the embodiments of this specification, the drop point concentration corresponding to the spectrum of the component to be traced is specifically: .

[0051] in, C represents the mass concentration of pollutants at any point corresponding to the spectrum of components to be traced; Q represents source strength; represents the diffusion coefficient in the horizontal direction; represents the diffusion coefficient in the vertical direction; u represents the average wind speed at the discharge port; H represents the effective height of the chimney; X represents the distance from the emission point corresponding to the traceability component spectrum to any point downwind; Y represents the distance from the center axis of the smoke to any point in the right-angle horizontal direction; Z is the height from the Earth's surface to any point.

[0052] In this example, the unit of C is µg / m 3 or mg / m 3 , Q is in mg / s or s; the diffusion coefficient in the horizontal direction It represents the standard deviation of the pollutant distribution in the Y direction, which is a function of the distance X, and its unit is: m; the diffusion coefficient in the vertical direction It represents the standard deviation of the pollutant distribution in the Z direction, which is a function of the distance X, and its unit is: m; the unit of u is: m / s; the unit of H is m; the unit of X is m; the unit of Y is m; the unit of Z is Z.

[0053] It should be noted that the horizontal diffusion coefficient and the vertical diffusion coefficient may be obtained by a table lookup method, an empirical formula, or other methods, using existing technologies, which are not specifically limited here.

[0054] The embodiments of this specification also provide a traceability method. Figure 4 A flow chart of another traceability method provided in the embodiments of this specification is shown in Figure 4. The traceability method includes: Step S401, obtaining a spectrum of components to be traced of a target site; Step S403, based on the to-be-traced component spectrum, a cluster analysis is performed to compare it with a preset pollutant fingerprint library to determine the suspected pollutant-emitting enterprise; Step S405: determining the pollutant-emitting enterprise based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise.

[0055] Step S407: If the number of the pollutant-emitting enterprises is greater than or equal to 2, the final pollutant-emitting enterprise is determined based on the fall-point concentration corresponding to the spectrum of the component to be traced.

[0056] By adopting the traceability method provided in the embodiment of this specification, after determining the final pollutant-emitting enterprise according to the spectrum of the components to be traced, on-site verification work is carried out to record the on-site traceability verification problems and rectification suggestions, which is conducive to establishing a traceability problem list and a case library of control measures, and is conducive to better implementation of traceability work.

[0057] The traceability method provided in the embodiments of this specification obtains the spectrum of components to be traced at the target site; based on the spectrum of components to be traced, compares it with a preset pollutant fingerprint library through cluster analysis to determine the suspected pollutant emitting enterprise; based on the distance coefficient between the spectrum of components to be traced and the component spectrum of the suspected pollutant emitting enterprise, the pollutant emitting enterprise is determined, which can reduce the labor cost of tracing, quickly and accurately identify the source of volatile organic compound pollution in industrial parks, improve the accuracy of tracing, and ultimately achieve accurate guidance for tracing work.

[0058] The above content describes in detail a traceability method. Correspondingly, this specification also provides a traceability device, such as Figure 5 shown. Figure 5 A schematic diagram of a traceability device provided in an embodiment of this specification, the traceability device includes: An acquisition module 501 is used to acquire a spectrum of components to be traced at a target site; The first determination module 503 determines the suspected pollutant-emitting enterprise by comparing the spectrum of the component to be traced with a preset pollutant fingerprint library through cluster analysis; The second determination module 505 determines the pollutant-emitting enterprise based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise.

[0059] The traceability device provided in the embodiment of this specification further includes: The third determination module 507 determines the final pollutant emitting enterprise based on the fall point concentration corresponding to the spectrum of the component to be traced if the number of the pollutant emitting enterprises is greater than or equal to 2.

[0060] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0061] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, electronic device, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0062] The apparatus, electronic device, non-volatile computer storage medium and method provided in the embodiments of this specification correspond to each other, and therefore, the apparatus, electronic device and non-volatile computer storage medium also have similar beneficial technical effects as the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the corresponding apparatus, electronic device and non-volatile computer storage medium will not be repeated here.

[0063] In the 1990s, it was very clear whether the improvement of a technology was hardware improvement (for example, improvement of the circuit structure of diodes, transistors, switches, etc.) or software improvement (improvement of the method flow). However, with the development of technology, many improvements of the method flow today can be regarded as direct improvements of the hardware circuit structure. Designers almost always obtain the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be implemented with hardware entity modules. For example, a programmable logic device (PLD) (such as a field programmable gate array (FPGA)) is such an integrated circuit whose logical function is determined by the user's programming of the device. Designers can "integrate" a digital system on a PLD by programming it themselves, without having to ask chip manufacturers to design and make dedicated integrated circuit chips. Moreover, nowadays, instead of manually making integrated circuit chips, this kind of programming is mostly implemented by "logic compiler" software, which is similar to the software compiler used when developing and writing programs, and the original code before compilation must also be written in a specific programming language, which is called hardware description language (HDL). There is not only one kind of HDL, but many kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc. The most commonly used ones are VHDL (Very-High-Speed ​​Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also know that it is only necessary to program the method flow slightly in the above-mentioned hardware description languages ​​and program it into the integrated circuit, and then it is easy to obtain the hardware circuit that implements the logic method flow.

[0064] The controller may be implemented in any suitable manner, for example, the controller may take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (e.g., software or firmware) executable by the (micro)processor, a logic gate, a switch, an application-specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include but are not limited to the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, and the memory controller may also be implemented as part of the control logic of the memory. It is also known to those skilled in the art that, in addition to implementing the controller in a purely computer-readable program code manner, the controller may be implemented in the form of a logic gate, a switch, an application-specific integrated circuit, a programmable logic controller, and an embedded microcontroller by logically programming the method steps. Therefore, such a controller may be considered as a hardware component, and the devices for implementing various functions included therein may also be considered as structures within the hardware component. Or even, the devices for implementing various functions may be considered as both software modules for implementing the method and structures within the hardware component.

[0065] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0066] For the convenience of description, the above devices are described in terms of functions and are divided into various units. Of course, when implementing one or more embodiments of this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0067] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0068] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0069] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0070] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0071] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0072] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0073] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0074] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0075] The specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media including storage devices.

[0076] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0077] The above is only an embodiment of this specification and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A traceability method, characterized in that: The traceability method includes: Obtain the spectrum of components to be traced at the target site; Based on the spectrum of the components to be traced, the suspected pollutant-emitting enterprises are identified by comparing the spectrum with a preset pollutant fingerprint library through cluster analysis; The pollutant-emitting enterprise is determined based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise.

2. The traceability method according to claim 1, characterized in that: The method further comprises: If the number of the pollutant-emitting enterprises is greater than or equal to 2, the final pollutant-emitting enterprise is determined based on the fall-point concentration corresponding to the spectrum of the component to be traced.

3. The traceability method according to claim 1, characterized in that: The construction of the pollutant fingerprint library includes: Collect data and information about businesses in the target area; Extracting characteristic components and contents from the data information; Based on the characteristic components and their contents, a pollutant fingerprint library is constructed, and the pollutant fingerprint library is dynamically updated in real time through a linear regression model.

4. The traceability method according to claim 3, characterized in that: The pollutant fingerprint library is dynamically updated in real time through a linear regression model, specifically including: The pollutant fingerprint library establishes a multi-dimensional feature vector through a data matrix; The multi-dimensional feature vector updates the pollutant components in the pollutant fingerprint library in real time through the linear regression model.

5. The traceability method according to claim 3, characterized in that: The linear regression model expression is: y= ; in, y represents the linear regression model; represents GC-MS data; Indicates production process parameter data; Indicates equipment operation data; Represents raw material data; Indicates environmental monitoring data; express The corresponding regression coefficients; express The corresponding regression coefficients; express The corresponding regression coefficients; express The corresponding regression coefficients; express The corresponding regression coefficients; represents the intercept; represents the error term.

6. The traceability method according to claim 1, characterized in that: Based on the spectrum of the component to be traced, the suspected pollutant emission enterprises are determined by comparing it with the preset pollutant fingerprint library through cluster analysis, specifically including: Using the K-means algorithm, the similarity calculation is performed between the spectrum of the component to be traced and the preset pollutant fingerprint library to determine the pollutant category to which the spectrum of the component to be traced belongs, and the similarity calculation adopts the Euclidean distance; Based on the pollutant categories, enterprises suspected of pollutant emission are identified.

7. The traceability method according to claim 6, characterized in that: The pollutant categories include: Alkanes, alkenes, aromatic hydrocarbons, esters, halogenated hydrocarbons.

8. The traceability method according to claim 1, characterized in that: The determination of the pollutant-emitting enterprise based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise specifically includes: Determine the distance coefficient based on the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise; The enterprise corresponding to the smallest distance coefficient is regarded as the pollutant-emitting enterprise; in, The distance coefficient is: ; in, represents the distance coefficient; a i Indicates the concentration of the component of the suspected pollutant-emitting enterprise; b i Represents the spectrum of the component to be traced.

9. The traceability method according to claim 2, characterized in that: The drop point concentration corresponding to the spectrum of the component to be traced is specifically: ; in, C represents the mass concentration of pollutants at any point corresponding to the spectrum of components to be traced; Q represents source strength; represents the diffusion coefficient in the horizontal direction; represents the diffusion coefficient in the vertical direction; u represents the average wind speed at the discharge port; H represents the effective height of the chimney; X represents the distance from the emission point corresponding to the traceability component spectrum to any point downwind; Y represents the distance from the center axis of the smoke to any point in the right-angle horizontal direction; Z is the height from the Earth's surface to any point.

10. A traceability device, characterized in that: The traceability device comprises: An acquisition module is used to obtain the spectrum of components to be traced at the target site; The first determination module determines the suspected pollutant-emitting enterprise by comparing the spectrum of the component to be traced with a preset pollutant fingerprint library through cluster analysis; The second determination module determines the pollutant-emitting enterprise based on the distance coefficient between the component spectrum to be traced and the component spectrum of the suspected pollutant-emitting enterprise.

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