Method, device and system for establishing dynamic refined urban catering source emission inventory

Abstract

The application provides a dynamic fine urban catering source emission inventory establishment method, device and system, comprising: based on network big data, emission source spectrum and government affairs management platform, dynamically collecting information data of target urban catering enterprises; classifying each catering enterprise and matching information data to obtain influence data of catering source emission; calculating corresponding first catering source total emission and first refined component emission of each catering enterprise, and creating a first catering source emission inventory corresponding to each catering enterprise; dividing the target city into multiple levels of geographic grids, calculating corresponding second catering source total emission and second refined component emission of each geographic grid, and creating a second catering source emission inventory corresponding to each geographic grid. The application provides a dynamic fine catering source emission inventory and a list of catering enterprises that need to be supervised, and timely and effective information feedback and updating to improve the scientificity and timeliness of urban environmental management decision-making.

Description

Technical Field

[0001] This application relates to the field of pollution control from catering sources, and in particular to a method, apparatus and system for establishing a dynamic and refined urban catering source emission inventory. Background Technology

[0002] Recent studies have shown that after significant reductions in emissions from industrial and mobile sources, the impact of residential emissions, such as those from restaurants, on air quality in urban areas is becoming increasingly apparent. PM2.5 emissions from restaurants... 2.5 VOCs and their highly reactive components and species composition significantly contribute to the concentration levels of primary and secondary pollutants in the ambient atmosphere. Therefore, timely and detailed emission data from food service sources are crucial for air quality management decisions.

[0003] Traditional methods for estimating restaurant emissions typically rely on basic emission information from catering businesses obtained through environmental statistics or pollution surveys. Emission factors are then assigned based on factors such as restaurant type, size, and number of stoves to calculate the emissions from different catering sources, ultimately yielding the total emissions from catering sources in the target city. However, this method provides static and lagging emissions data, neglecting the high turnover rate of catering businesses and the significant temporal variability in catering activity levels. It fails to reflect the changes in emissions caused by the turnover of catering businesses within a geographic grid, and it cannot demonstrate the differences in dining load between weekdays, weekends, and holidays, or the differences between breakfast, lunch, and dinner, or the significant changes in dining habits caused by major events (such as pandemics).

[0004] Secondly, PM2.5 emissions from food service sources calculated using traditional methods 2.5 VOCs only reflect the total amount and cannot be further broken down to specific components or substances. Even using PM2.5 reported in the literature or obtained in the laboratory... 2.5 Allocation to VOCs source profiles still cannot reflect PM levels caused by changes in factors influencing changes in food and beverage sources. 2.5 The VOCs source spectrum also needs to be dynamically adjusted accordingly. Furthermore, as environmental management departments pay more attention to emissions from catering sources, inspections and rectification actions targeting catering sources will become routine in the future. These rectification actions will change the types of fume purification facilities used by catering businesses or improve the treatment efficiency of these facilities for a period of time, thereby changing the emissions from catering sources. However, these changes cannot be reflected in the emission data of catering sources based on traditional calculation methods in a timely and effective manner, nor can they provide effective management decision support for the next rectification action.

[0005] In summary, traditional static, total emission data from catering sources is lagging and broad, failing to promptly detect changes in environmental regulatory data and introducing greater uncertainty into subsequent management. Summary of the Invention

[0006] In view of the shortcomings of the prior art described above, the purpose of this application is to provide a method, apparatus and system for establishing a dynamic and refined urban catering source emission inventory, which can solve the technical problem that the traditional static, total emission data of catering sources has lag and coarseness and cannot timely detect changes in environmental regulatory data.

[0007] To achieve the above and other related objectives, a first aspect of this application provides a method for establishing a dynamic and refined urban catering source emission inventory. The method includes: dynamically collecting information data from one or more catering enterprises in a target city based on network big data, emission source spectra, and a government management platform; classifying each catering enterprise and obtaining impact data on catering source emissions by matching the information data; calculating the total first catering source emission and the first refined component emission for each catering enterprise based on the impact data, and creating a first catering source emission inventory for each catering enterprise accordingly; dividing the target city into multi-level geographical grids, calculating the total second catering source emission and the second refined component emission for each geographical grid, and creating a second catering source emission inventory for each geographical grid accordingly; wherein the first catering source emission inventory and the second catering source emission inventory are for data linkage with the government management platform.

[0008] In some embodiments of the first aspect of this application, the dynamic collection of information data from one or more catering enterprises in a target city based on network big data, emission source spectrum, and government management platform specifically includes: using web crawler technology to crawl publicly available data on the basic information and activity levels of catering enterprises on the Internet; obtaining localized high-component resolution emission source spectrum of catering enterprises; connecting to the government's catering enterprise supervision database, and extracting parameter data characterizing the characteristics of catering enterprises and changes in emission activities; wherein, the information data includes: basic information of catering enterprises, data characterizing changes in the emission activities of catering enterprises, and PM2.5 from catering sources. 2.5 The emission source spectrum of VOCs and relevant information from environmental management departments regarding inspections and rectification actions of catering enterprises.

[0009] In some embodiments of the first aspect of this application, the classification of catering enterprises and the matching of the information data to obtain impact data on catering source emissions include: classifying catering enterprises according to their main cuisine, enterprise size, gas type, type of fume purification facilities, status of fume purification facilities, and geographical grid; matching the classified catering enterprises with the information data to obtain their corresponding impact data on catering source emissions; wherein, the impact data on catering source emissions includes: activity level, fume purification facility treatment efficiency, PM2.5 levels, etc. 2.5 Relevant parameters and emission factors of emission source spectrum and VOCs emission source spectrum.

[0010] In some embodiments of the first aspect of this application, the total emissions from the first catering source corresponding to each catering enterprise include: first PM2.5. 2.5 Total emissions and total first VOCs emissions; wherein, the first PM... 2.5 The expression for total emissions is: The expression for the first total VOC emissions is: Where n represents the nth catering enterprise; A represents the activity level; EF represents the emission factor; η represents the treatment efficiency of the fume purification facility; A, EF, and η can all be obtained from information data corresponding to different catering enterprises, such as the main cuisine h, catering enterprise size i, gas type j, type of fume purification facility k, and status l of the fume purification facility, as well as the corresponding PM2.5 concentration. 2.5 The emission source spectrum or VOCs emission source spectrum is obtained; the first refined component emission amount corresponding to each catering enterprise includes: the first PM 2.5 Detailed emission data for each component and detailed emission data for the first VOC species; the first PM... 2.5 The expression for the refined emission amounts of each component is as follows: The expression for the refined emission amount of the first VOC species is: E n(VOCs-Y) =E n(VOCs) ×(1-Y%); where X% represents the refined PM 2.5 Component X in PM 2.5 Percentage in the emission source spectrum; Y% represents the percentage of refined VOC species Y in the VOC emission source spectrum.

[0011] In some embodiments of the first aspect of this application, the total second catering source emissions corresponding to catering enterprises in each geographic grid are the sum of the total first catering source emissions corresponding to each catering enterprise in the corresponding grid; the second refined component emissions corresponding to catering enterprises in each geographic grid are the sum of the first refined component emissions corresponding to each catering enterprise in the corresponding grid; wherein, the total second catering source emissions corresponding to catering enterprises in each geographic grid include: second PM 2.5Total emissions and total emissions of second VOCs; the second refined component emissions corresponding to catering enterprises in each geographic grid include: second PM2.5. 2.5 Detailed emission levels of components and second VOC species.

[0012] In some embodiments of the first aspect of this application, the creation of a first catering source emission inventory corresponding to each catering enterprise or the creation of a second catering source emission inventory corresponding to each geographic grid includes: PM2.5, which has concentration limits as stipulated by national catering source emission standards and makes a significant contribution to secondary pollutants in the environment. 2.5 Components and VOC species; combined with the first PM 2.5 The emissions of components and the emissions of the first VOC species are refined to obtain the first catering source emission inventory of key pollutants emitted by each catering enterprise; or, combined with the second PM... 2.5 The emissions of components and the emissions of second VOCs species were refined to obtain a second food service source emission inventory for each geographic grid regarding key pollutants emitted from food service sources, and combined with the first PM2.5 emission inventory. 2.5 Total emissions and total first VOCs emissions are used to obtain a list of key monitored enterprises for high-emission enterprises in each geographic grid.

[0013] To achieve the above and other related objectives, a second aspect of this application provides a dynamic and refined urban catering source emission inventory establishment device, comprising: a data acquisition module for dynamically collecting information data of one or more catering enterprises in a target city based on network big data, emission source spectrum, and government management platform; an information matching module for classifying each catering enterprise and obtaining impact data on catering source emissions by matching the information data; and an inventory establishment module for calculating the total first catering source emission and the first refined component emission corresponding to each catering enterprise based on the impact data on catering source emissions, and creating a first catering source emission inventory corresponding to each catering enterprise; dividing the target city into multi-level geographical grids, calculating the total second catering source emission and the second refined component emission corresponding to each geographical grid, and creating a second catering source emission inventory corresponding to each geographical grid; wherein the first catering source emission inventory and the second catering source emission inventory are for data linkage with the government management platform.

[0014] In some embodiments of the second aspect of this application, the apparatus further includes: a data storage and update module, used to store the data obtained by the data acquisition module, the information matching module and the list creation module, and to perform real-time dynamic updates.

[0015] To achieve the above and other related objectives, a third aspect of this application provides a dynamic and refined urban catering source emission inventory establishment system coupled with urban environmental management decision-making, comprising: a dynamic and refined urban catering source emission inventory establishment device as described above, used to provide a dynamic and refined catering source emission inventory coupled with urban environmental management decision-making; a server, used to communicate with the dynamic and refined urban catering source emission inventory establishment device and receive feedback from the dynamic and refined catering source emission inventory provided by it, thereby providing scientific and timely urban environmental management decisions; and the server stores a government affairs management platform.

[0016] To achieve the above and other related objectives, a fourth aspect of this application provides a computer device, comprising: a memory, a processor, and a communicator; the memory for storing a computer program; the processor for executing the computer program stored in the memory to cause the device to perform the method described above; and the communicator for communicating with an external device.

[0017] In summary, the method, apparatus, and system for establishing a dynamic and refined urban catering source emission inventory provided in this application have the following beneficial effects: This application provides a dynamic and refined catering source emission inventory and a list of catering enterprises requiring key supervision by coupling urban environmental management decision-making, as well as timely and effective information feedback and updates to improve the scientific nature and timeliness of urban environmental management decision-making. This application obtains dynamic and refined emission inventories of catering sources and PM2.5 through dynamic collection of real-time network big data, localized catering source emission spectrum, and relevant data from government management platforms, and through refined classification and matching calculations, obtains dynamic PM2.5 emission inventories and related data. 2.5 The system generates a refined list of food service source emissions, including detailed component or VOC species and geographic grids, as well as a list of food service enterprises requiring key supervision. The resulting data and lists are stored and dynamically updated in real time for external output. Simultaneously, the food service source emission list and the list of enterprises requiring key supervision are fed back to the government management platform in real time for scientific and timely decision-making and management. Attached Figure Description

[0018] Figure 1 The diagram shown is a flowchart illustrating a method for establishing a dynamic and refined urban catering source emission inventory according to an embodiment of this application.

[0019] Figure 2 The diagram shown is a schematic representation of a method for establishing a dynamic and refined urban catering source emission inventory in one embodiment of this application.

[0020] Figure 3 The diagram shown is a schematic representation of a module of a dynamic and refined urban catering source emission inventory establishment device according to one embodiment of this application.

[0021] Figure 4The diagram shown is a structural schematic of a dynamic and refined urban catering source emission inventory establishment system coupled with urban environmental management decision-making, as described in one embodiment of this application.

[0022] Figure 5 The diagram shown is a structural schematic of a computer device according to an embodiment of this application. Detailed Implementation

[0023] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0024] It should be noted that in the following description, reference is made to the accompanying drawings, which illustrate several embodiments of this application. It should be understood that other embodiments may also be used, and changes in mechanical composition, structure, electrical system, and operation may be made without departing from the spirit and scope of this application. The following detailed description should not be considered limiting, and the scope of the embodiments of this application is defined only by the claims of the published patent. The terminology used herein is for describing particular embodiments only and is not intended to limit the scope of this application.

[0025] Throughout this specification, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," "fixing," and "holding" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0026] Furthermore, as used herein, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context indicates otherwise. The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data used can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. It should be further understood that the terms “comprising,” “including,” indicate the presence of the stated features, operations, elements, components, items, kinds, and / or groups, but do not exclude the presence, occurrence, or addition of one or more other features, operations, elements, components, items, kinds, and / or groups. The terms “or” and “and / or” as used herein are to be interpreted as inclusive, or mean any one or any combination thereof. Thus, “A, B, or C” or “A, B, and / or C” means “any one of: A; B; C; A and B; A and C; B and C; A, B, and C.” An exception to this definition will only occur if the combination of elements, functions, or operations is inherently mutually exclusive in some way.

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the invention.

[0028] To address the existing problems, this application proposes a method, apparatus, and system for establishing a dynamic and refined urban catering source emission inventory. This addresses the technical problem in the prior art where traditional static, total-based catering source emission data is lagging and coarse, failing to promptly detect changes in environmental regulatory data.

[0029] An air pollutant emission inventory refers to the annual emissions of various pollutants and their spatiotemporal distribution within a study area. It dynamically reflects a region's energy structure and fuel consumption, the number, industry, and regional distribution of various pollution sources, the generation and treatment measures of major pollutants, and their distribution across industries and sectors. Restaurant fume pollution is a key environmental concern in modern cities, a major source of environmental complaints in central urban areas, and a significant contributor to PM2.5 emissions. 2.5 One of the sources. Restaurant fumes are an important type of pollution source in the air pollutant emission inventory, and it is particularly important to determine their emission volume and regional distribution.

[0030] This application primarily focuses on PM2.5 in pollutants emitted from food service sources. 2.5 Taking VOCs as an example, this is illustrated by analyzing PM2.5 levels in the studied cities. 2.5The refined classification of components and VOC species, as well as the multi-level geographical grid division, are used to obtain a corresponding dynamic and refined emission inventory of catering sources, which is then fed back to the government management platform for scientific and timely management.

[0031] like Figure 1 The diagram shown illustrates a flowchart of a method for establishing a dynamic and refined urban catering source emission inventory according to an embodiment of this application. The method includes the following steps:

[0032] Step S1: Based on network big data, emission source spectrum and government management platform, dynamically collect information data of one or more catering enterprises in the target city.

[0033] In one embodiment of this application, the specific data acquisition method for step S1 includes:

[0034] 1) Use web crawling technology to crawl publicly available data on the basic information and activity levels of catering enterprises on the Internet;

[0035] The basic information of the catering enterprises includes, but is not limited to: the name of the catering enterprise, the type of catering, and the geographical location (longitude and latitude) of the catering enterprise; the activity level data A includes, but is not limited to: real-time hourly order information of cloud catering sources, real-time hourly number of diners, real-time hourly takeout order information, real-time gas consumption, etc.; the aforementioned publicly available data is obtained through web data crawling.

[0036] The hardware devices for the network big data can be sensors, mobile terminals, transmission equipment, storage devices, servers, network equipment, and security equipment, etc.

[0037] 2) Obtain localized, high-resolution emission profiles of catering sources;

[0038] It should be noted that it can access localized, high-resolution restaurant source PMs. 2.5 Emission source profiles and VOC emission source profiles can also be obtained from literature-reported PM levels. 2.5 Emission source spectrum and VOCs emission source spectrum. The PM... 2.5 The emission source spectrum and VOCs emission source spectrum should respectively include PM under different cuisines (h), different catering enterprise sizes (i), different gas types (j), different fume purification facilities (k), and different fume purification facility statuses (l). 2.5 Component percentage source spectrum and VOCs species percentage source spectrum

[0039] Wherein, the PM 2.5 The components can be further refined to include: sulfates (SO4) 2- ), nitrates (NO3) -The components include ammonium salts, carbon black (BC), and organic aerosols from catering sources (COA), low volatile oxidized organic compounds (LV-OOA), and medium volatile oxidized organic compounds (SV-OOA); the VOCs species can be further subdivided into several types, including: non-methane total hydrocarbons (NMHC, 57 types), oxygenated organic compounds (OVOCs), etc.

[0040] 3) Connect to the government's regulatory database for catering enterprises and extract parameter data that characterizes the characteristics of catering enterprises and changes in their emission activities; specifically including: the amount of emissions registered, the size of the catering enterprise i, the type k of the fume purification facility (or other end-of-pipe treatment facility) and related attribute parameters, the real-time and historical maintenance status of the fume purification facility, the number of stoves, the type of fuel, the enterprise's rectification status and other basic information.

[0041] In addition, the database for the supervision of catering enterprises, i.e., the database of the government management platform, also includes relevant information on urban environmental management decisions, such as: management and scheduling information for catering sources, the objectives of inspection and rectification plans for catering sources (such as using a certain inefficient end-of-pipe treatment measure, or emitting a certain specific pollutant, or long-term failure to rectify problems found in historical inspections), and the geographical scope of inspection and rectification for catering sources.

[0042] In summary, the information and data include: basic information about catering enterprises, data characterizing changes in the emission activities of catering enterprises, and PM2.5 from catering sources. 2.5 This includes VOCs emission source profiles and information from environmental management departments regarding inspections and rectification actions targeting catering enterprises. This data can be obtained in real-time from the three databases mentioned above (online database, emission source profile database, and government management platform database). Furthermore, the data is continuously updated based on urban development, pollution control, laws and regulations, and related technical documents, thus forming a database for new time periods and ensuring the timeliness of the data.

[0043] This application uses the integration of three databases on a server as an example for illustration.

[0044] Step S2: Classify each catering enterprise and obtain the impact data of catering source emissions by matching the information data.

[0045] In one embodiment of this application, step S2 specifically includes:

[0046] a) Catering enterprises are classified according to their main cuisine, size, gas type, type of fume purification facilities, status of fume purification facilities, and geographical grid.

[0047] Specifically, the principles for classifying catering businesses include, but are not limited to, any one or more combinations of the following:

[0048] Catering businesses can be categorized based on their main cuisine, such as Sichuan cuisine, Cantonese cuisine, Hunan cuisine, and Anhui cuisine.

[0049] Catering enterprises can be classified according to their size (i), such as large, medium, and small.

[0050] Catering businesses can be classified according to the type of gas they use, such as natural gas, manufactured gas, liquefied petroleum gas, biogas, coal gas, etc.

[0051] Catering enterprises are classified according to the different types of fume purification facilities used, such as low-temperature plasma, electrostatic composite, and UV photolysis.

[0052] Catering enterprises are classified according to the different status of the fume purification facilities used by them, such as whether they are installed, the duration of installation (which can be further divided into: 1-5 years, more than 5 years, or other time settings), operation and maintenance status and operation and maintenance time, rectification status and rectification duration, and other parameters that can characterize the fume purification facilities.

[0053] Catering businesses can be categorized based on their geographical grid, district, or street location.

[0054] In addition, PM can be combined with localization and literature reports. 2.5 source spectrum and VOCs source spectrum Catering enterprises are classified, and localized catering source emission profiles are preferred because they are more accurate and better suited to the cities studied.

[0055] b) Based on the information data, match each categorized catering enterprise to obtain the impact data of its corresponding catering source emissions;

[0056] The impact data on emissions from catering sources include: Activity Level A, treatment efficiency η of fume purification facilities, and PM2.5. 2.5 Relevant parameters of emission source spectrum and VOCs emission source spectrum, and emission factor EF.

[0057] It should be noted that activity level refers to the quantity of production or consumption activities related to the emission of a certain air pollutant within a certain time frame and defined area, such as fuel consumption, product production, and vehicle mileage. This application uses data on activity level A related to food service source emissions by comparing it with PM2.5 emissions from food service sources within a certain time frame and in the study city. 2.5 The amount of production or consumption activities related to VOCs emissions, such as real-time hourly order information for catering sources, real-time hourly number of diners, real-time hourly takeout order information, and real-time gas consumption.

[0058] The emission factor (EF) refers to the amount of air pollutants emitted into the environment per unit of activity level, either after reduction by control measures or without reduction, under normal technical, economic, and management conditions. The emission factor EF can be determined using national or local standards or guidelines such as the "Technical Guidelines for Compiling Emission Inventories of Primary Sources of Inhalable Particulate Matter (Trial)," the "Technical Guidelines for Compiling Emission Inventories of Volatile Organic Compounds (VOCs)," and the "Technical Specifications for Pollution Control of Fume from Catering Industries (Trial)."

[0059] Step S3: Calculate the total first catering source emission and the first refined component emission for each catering enterprise based on the impact data of the catering source emissions, and create a first catering source emission list for each catering enterprise accordingly.

[0060] In one embodiment of this application, the total emissions from the first catering source corresponding to each catering enterprise include: the first PM2.5 emission. 2.5 Total emissions and total emissions of the first VOCs;

[0061] Wherein, the first PM 2.5 The expression for total emissions is:

[0062]

[0063] The expression for the first total VOC emissions is:

[0064]

[0065] Where n represents the nth catering enterprise; A represents the activity level; EF represents the emission factor; η represents the treatment efficiency of the fume purification facility; A, EF, and η can all be obtained from information data corresponding to different catering enterprises, such as the main cuisine h, catering enterprise size i, gas type j, type of fume purification facility k, and status l of the fume purification facility, as well as the corresponding PM2.5 concentration. 2.5 The emission source spectrum or VOCs emission source spectrum is obtained;

[0066] It should be noted that the activity level A, the treatment efficiency η of the fume purification facility, and the emission factor EF are respectively affected by the main cuisine of the catering enterprise h, the scale of the catering enterprise i, the gas type j, the type of fume purification facility k, and the status l of the fume purification facility. Therefore, based on the corresponding PM 2.5 A obtained from emission source spectrum or VOCs emission source spectrum PM EF PM η PM Or A VOCs EF VOCs η VOCs The influencing factors are represented by the subscripts hijkl.

[0067] The first refined component emissions corresponding to each catering enterprise include: first PM 2.5 Detailed emission data for each component and detailed emission data for the first VOC species; among which,

[0068] The first PM 2.5 The expression for the refined emission amounts of each component is as follows:

[0069]

[0070] The expression for the refined emission amount of the first VOC species is:

[0071] E n(VOCs-Y) =E n(VOCs) ×(1-Y%);

[0072] Where X% represents the refined PM 2.5 Component X in PM 2.5 Emission source spectrum The percentage in the range is known; Y% represents the refined VOC species Y in the VOC emission source spectrum. The percentage in is known.

[0073] In one embodiment of this application, the creation of a first food source emission inventory corresponding to each catering enterprise includes:

[0074] (1) PM2.5, which has concentration limits as stipulated by national emission standards for catering sources and makes a significant contribution to secondary pollutants in the environment. 2.5 Components and VOC species;

[0075] (2) Combining the first PM 2.5 The emissions of components and the emissions of the first VOC species were refined to obtain the first catering source emission list of key pollutants emitted by catering enterprises.

[0076] Step S4: Divide the target city into multi-level geographic grids, calculate the total emissions of the second catering source and the emissions of the second refined component corresponding to each geographic grid, and create an emissions inventory of the second catering source corresponding to each geographic grid.

[0077] In one embodiment of this application, the total second catering source emissions corresponding to catering enterprises in each geographic grid are the sum of the total first catering source emissions corresponding to each catering enterprise in the corresponding grid; the second refined component emissions corresponding to catering enterprises in each geographic grid are the sum of the first refined component emissions corresponding to each catering enterprise in the corresponding grid; wherein, the total second catering source emissions corresponding to catering enterprises in each geographic grid include: second PM 2.5Total emissions and total emissions of second VOCs; the second refined component emissions corresponding to catering enterprises in each geographic grid include: second PM2.5. 2.5 Detailed emission levels of components and second VOC species.

[0078] It should be noted that when calculating the total emissions of the second catering source or the emissions of the second refined component corresponding to catering enterprises in each geographic grid, the total emissions of the first catering source and the emissions of the first refined component corresponding to each catering enterprise are obtained by using the latitude and longitude or location information of the catering enterprises in each geographic grid, and then summed to obtain the result.

[0079] Specifically, the second PM 2.5 The expression for total emissions is:

[0080]

[0081] The expression for the second total VOC emissions is:

[0082] E MN(VOCs) =∑E n(VOCs) ;

[0083] The second refined component emissions corresponding to catering enterprises in each geographic grid include: second PM2.5. 2.5 Detailed emission amounts of component and second VOC species; among which,

[0084] The second PM 2.5 The expression for the refined emission amounts of each component is as follows:

[0085]

[0086] The expression for the refined emissions of the second VOC species is:

[0087] E MN(VOCs-Y) =∑E n(VOCs-Y) ;

[0088] Wherein, MN represents the geographic grid MN in the multi-level geographic grid of the target city.

[0089] It should be noted that the target city is divided into multi-level geographical grids, such as city, district / county, street, etc.

[0090] In one embodiment of this application, the creation of a second food service source emission inventory corresponding to each geographic grid includes:

[0091] (1) PM2.5, which has concentration limits as stipulated by national emission standards for catering sources and makes a significant contribution to secondary pollutants in the environment. 2.5 Components and VOC species;

[0092] (2) Combined with the second PM 2.5 The emissions of components and the emissions of second VOCs species were refined to obtain a second food service source emission inventory for each geographic grid regarding key pollutants emitted from food service sources, and combined with the first PM2.5 emission inventory. 2.5 Total emissions and total first VOCs emissions are used to obtain a list of key monitored enterprises for high-emission enterprises in each geographic grid.

[0093] Specifically, based on the second emission list of key pollutants from catering sources in the geographic grid MN, and combined with the total emission of the first catering source and the emission of the first refined component corresponding to each catering enterprise in the geographic grid MN, a list of high-emission enterprises that need to be closely monitored is obtained in the geographic grid MN.

[0094] It should be noted that the first catering source emission list, the second catering source emission list, and the list of key regulated enterprises are all real-time, dynamic, and detailed emission lists.

[0095] It should be noted that, as Figure 2 The diagram shown illustrates a specific process flow of a method for establishing a dynamic and refined urban catering source emission inventory in one embodiment of this application.

[0096] In summary, this application obtains dynamic PM2.5 emissions data by dynamically collecting real-time network big data, localized catering source emission spectrum, and government management platform data, and through refined classification and matching calculations. 2.5 The refined emission inventory of catering sources, including components or VOCs species and geographical grids, as well as the list of catering enterprises requiring key supervision, provide a foundation for subsequent scientific and effective urban environmental management decisions. The government management platform updates the data by receiving the dynamically refined emission inventory of catering sources and the list of catering enterprises requiring key supervision, and provides corresponding environmental management decisions so that the method can provide a dynamically refined emission inventory of catering sources and the list of catering enterprises requiring key supervision by coupling urban environmental management decisions.

[0097] like Figure 3 The diagram shown illustrates a module schematic of a dynamic, refined urban catering source emission inventory establishment device according to an embodiment of this application. The dynamic, refined urban catering source emission inventory establishment device 300 includes:

[0098] Data acquisition module 310 is used to dynamically collect information data of one or more catering enterprises in a target city based on network big data, emission source spectrum and government management platform;

[0099] The information matching module 320 is used to classify various catering enterprises and obtain the impact data of catering source emissions by matching the information data;

[0100] The inventory creation module 330 is used to calculate the total first-level catering source emissions and the first refined component emissions for each catering enterprise based on the impact data of the catering source emissions, and to create an inventory of the first-level catering source emissions for each catering enterprise accordingly; it also divides the target city into multi-level geographical grids, calculates the total second-level catering source emissions and the second refined component emissions for each geographical grid, and to create an inventory of the second-level catering source emissions for each geographical grid accordingly. The specific inventory creation process is as follows: Figure 2 As shown.

[0101] In one embodiment of this application, the dynamic and refined urban catering source emission inventory establishment device 300 further includes: a data storage and update module 340, used to store the data obtained by the data acquisition module, information matching module and inventory establishment module, and to perform real-time dynamic updates.

[0102] It should be understood that the division of the various modules in the above system is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software through processing element calls; they can be fully implemented in hardware; or some modules can be implemented by processing element calls to software, while others are implemented in hardware. For example, the data storage and update module 340 can be a separate processing element, or it can be integrated into a chip within the above system. Alternatively, it can be stored as program code in the system's memory, and its functions can be called and executed by a processing element of the system. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element mentioned here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed through integrated logic circuits in the hardware of the processor element or through software instructions.

[0103] For example, these modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more digital signal processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs). As another example, when a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. Furthermore, these modules can be integrated together to form a system-on-a-chip (SOC).

[0104] like Figure 4 The diagram shown illustrates the structure of a dynamic and refined urban catering source emission inventory establishment system coupled with urban environmental management decision-making, as per an embodiment of this application. The dynamic and refined urban catering source emission inventory establishment system 400 includes:

[0105] The dynamic and refined urban catering source emission inventory establishment device 300, as described above, is used to provide a dynamic and refined catering source emission inventory that is coupled with urban environmental management decisions.

[0106] It should be noted that the dynamic and refined urban catering source emission inventory establishment device 300 dynamically collects real-time network big data, localized catering source emission spectrum, and relevant data from government management platforms, and obtains dynamic PM data through refined classification and matching calculations. 2.5 The system will generate a refined list of food service source emissions based on components or VOCs species and geographic grids, as well as a list of food service enterprises requiring key supervision. The obtained data and lists will be stored and dynamically updated in real time for external transmission. At the same time, the food service source emission list and the list of enterprises requiring key supervision will be fed back to the government management platform 410 in real time for subsequent decision-making and management.

[0107] Server 410 is used to communicate with the dynamic and refined urban catering source emission inventory establishment device 300 and receive feedback from the dynamic and refined catering source emission inventory provided by it, so as to provide scientific and timely urban environmental management decisions; and the government affairs management platform 411 is stored on server 410. The communication connection includes any one of the following wireless communication methods: WIFI, Bluetooth, LoRa, NB-IoT, ZigBee, 3G, 4G, 5G, etc.; it can also be connected via wired methods such as Modbus, TCP / IP, OPC, Ethernet, etc.

[0108] The specific management process of the system 400 is as follows: Figure 2 As shown.

[0109] Specifically, the dynamic and refined inventory establishment process of the dynamic and refined urban catering source emission inventory establishment system 400 coupled with urban environmental management decision-making includes:

[0110] Step S401: The dynamic and refined urban catering source emission inventory establishment device 300 dynamically collects information data of one or more catering enterprises in the target city from the server 410; and obtains dynamic PM data through refined classification and matching calculations. 2.5 The system includes a refined list of food service source emissions based on component or VOC species and geographic grid, as well as a list of food service enterprises requiring key supervision, which is stored and fed back to the server 410; it also includes: coupling the urban environmental management decision provided by the government management platform 411 to provide a dynamic and refined list of urban food service source emissions.

[0111] The server 410 integrates databases related to network big data, emission source spectrum, and government management platform.

[0112] Step S402: The server 410 receives feedback from the dynamic and refined urban catering source emission inventory establishment device 300, updates relevant information data in real time, and provides scientific and timely urban environmental management decisions, so that the dynamic and refined urban catering source emission inventory establishment device 300 can update data in real time through data linkage, thereby providing a dynamic and refined urban catering source emission inventory coupled with urban environmental management decisions.

[0113] Specifically, the system 400 described in this application can obtain a list of any one or more combinations of the following:

[0114] 1) PM from catering sources in the target city 2.5 Real-time and historical emission inventories of total VOCs emissions, and PM2.5 from catering sources. 2.5 Detailed inventory of real-time and historical emissions of components and VOCs by specific species;

[0115] 2) A detailed emission inventory of catering sources in the target geographic grid, and a list of key enterprises requiring supervision corresponding to the list of high-emission catering enterprises in the target geographic grid;

[0116] 3) A list of recommended rectification measures for catering enterprises under dynamic environmental supervision, etc.

[0117] It should be noted that the lists obtained by the system 400 are all dynamically refined. Not only is the collected information data updated in real time—for example, information from network big data and government management platform databases is updated in real time—but also the PM... 2.5 The data and inventory provided in this application are more real-time and detailed, and can promptly detect changes in environmental regulatory data, thereby providing scientific and timely urban environmental management decisions. Compared with the existing traditional static, total emission data of catering sources, the data and inventory provided in this application are more real-time and detailed, and can promptly detect changes in environmental regulatory data.

[0118] like Figure 5 The diagram shown illustrates the structure of a computer device 500 according to an embodiment of this application. The computer device 500 includes a memory 510, a processor 520, and a communicator 530; the memory 510 stores computer instructions; the processor 520 executes the computer instructions to implement... Figure 1 The method described herein; the communicator 530 is used to communicate with external devices.

[0119] For example, the external device can be a cloud server; or it can be a user's mobile terminal, such as a mobile phone, PC, or tablet.

[0120] In some embodiments, the number of the memory 510, the processor 520, and the communicator 530 in the computer device 500 may be one or more, while Figure 5 Each example is taken as an instance.

[0121] In one embodiment of this application, the processor 520 in the computer device 500 will perform as follows: Figure 1 The steps described involve loading one or more instructions corresponding to the process of an application into memory 510, and then having the processor 520 run the application stored in memory 510, thereby achieving the following: Figure 1 The method described.

[0122] For example, the memory 510 is used to store emission data, an inventory creation method program, and inventory data; the processor 520 is used to execute the inventory creation method program stored in the memory 510, etc., so that the device 500 performs, for example... Figure 1 The method shown.

[0123] The memory 510 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. The memory 510 stores an operating system and operating instructions, executable modules or data structures, or subsets thereof, or extended sets thereof. The operating instructions may include various operation instructions for implementing various operations. The operating system may include various system programs for implementing various basic services and handling hardware-based tasks.

[0124] The processor 520 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0125] The communicator 530 is used to establish communication connections between the database access device and other devices (e.g., clients, read-write databases, and read-only databases). The communicator 530 may include one or more modules with different communication methods, such as a CAN communication module connected to a CAN bus. The communication connection can be one or more wired / wireless communication methods and combinations thereof. Communication methods include any one or more of the following: the Internet, CAN, intranet, wide area network (WAN), local area network (LAN), wireless network, digital subscriber line (DSL) network, frame relay network, asynchronous transfer mode (ATM) network, virtual private network (VPN), and / or any other suitable communication network. For example, any one or more combinations of Wi-Fi, Bluetooth, NFC, GPRS, GSM, and Ethernet.

[0126] In some specific applications, the various components of the computer device 500 are coupled together through a bus system, which may include, in addition to a data bus, a power bus, a control bus, and a status signal bus, etc. However, for clarity, in... Figure 5 All kinds of buses are referred to as bus systems.

[0127] In one embodiment of this application, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the following: Figure 1 The method described.

[0128] For example, the computer-readable storage medium stores model programs, inversion method programs, and related data.

[0129] As will be understood by those skilled in the art, the embodiments implementing the above-described system and its unit functions can be accomplished using hardware related to a computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the embodiments including the above-described system and its unit functions; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0130] In summary, the method, apparatus, and system for establishing a dynamic and refined urban catering source emission inventory provided in this application dynamically collect information data of one or more catering enterprises in a target city based on network big data, emission source spectrum, and government management platform; classify each catering enterprise and obtain the impact data of catering source emissions by matching the information data; calculate the total first catering source emission and the first refined component emission corresponding to each catering enterprise based on the impact data of catering source emissions, and create a first catering source emission inventory corresponding to each catering enterprise; divide the target city into multi-level geographical grids, calculate the total second catering source emission and the second refined component emission corresponding to each geographical grid, and create a second catering source emission inventory corresponding to each geographical grid.

[0131] This application obtains dynamic PM data by dynamically collecting real-time network big data, localized catering source emission spectrum, and government management platform data, and through refined classification and matching calculations. 2.5 This application provides a more dynamic and refined urban catering source emission inventory, including a detailed list of components or VOCs species and a geographic grid, as well as a list of catering enterprises requiring key supervision. The resulting data and lists are stored and dynamically updated in real time for external distribution. Simultaneously, the catering source emission inventory and the list of enterprises requiring key supervision are fed back to the government management platform in real time for scientific and timely decision-making and management. This application achieves this by coupling urban environmental management decision-making with a more dynamic and refined urban catering source emission inventory, enabling real-time updates, timely feedback, and precise management through data linkage with the government management platform.

[0132] This application effectively overcomes the various shortcomings of the prior art and has high industrial application value.

[0133] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for establishing a dynamic and refined urban catering source emission inventory, characterized in that, The method includes: Based on network big data, emission source spectrum and government management platform, information data of multiple catering enterprises in the target city are dynamically collected; The catering enterprises are categorized, and the impact data on catering source emissions is obtained by matching the information data. This includes: classifying catering enterprises according to their main cuisine, enterprise size, gas type, type of fume purification facilities, status of fume purification facilities, and geographical grid; matching the categorized catering enterprises with the information data to obtain the corresponding impact data on catering source emissions; wherein, the impact data on catering source emissions includes: activity level, fume purification facility treatment efficiency, emission factor, and PM2.5 levels under different cuisines (h), different enterprise sizes (i), different gas types (j), different fume purification facilities (k), and different fume purification facility statuses (l). 2.5 Component percentage source spectrum and VOCs species percentage source spectrum; Based on the impact data of the catering source emissions, the total first catering source emissions and the first refined component emissions corresponding to each catering enterprise are calculated, and a first catering source emission inventory corresponding to each catering enterprise is created accordingly; the total first catering source emissions corresponding to each catering enterprise include: the first PM 2.5 Total emissions and total first VOCs emissions; wherein, the first PM 2.5 The expression for total emissions is: ； The expression for the first total VOC emissions is: ； Where n represents the nth catering enterprise; A represents the activity level; EF represents the emission factor; η represents the treatment efficiency of the fume purification facility; A, EF, and η can all be obtained from information data corresponding to different catering enterprises, such as the main cuisine h, catering enterprise size i, gas type j, type of fume purification facility k, and status l of the fume purification facility, as well as the corresponding PM2.5 concentration. 2.5 The emission source spectrum or VOCs emission source spectrum is obtained; The first refined component emissions corresponding to each catering enterprise include: first PM 2.5 Detailed emission amounts of each component and detailed emission amounts of the first VOC species; among which, The first PM 2.5 The expression for the refined emission amounts of each component is as follows: ； The expression for the refined emission amount of the first VOC species is: ； Where X% represents the refined PM 2.5 Component X in PM 2.5 Percentage in the emission source spectrum; Y% represents the percentage of refined VOC species Y in the VOC emission source spectrum; The target city is divided into multi-level geographical grids. The total emissions of the second catering source and the emissions of the second refined component corresponding to each geographical grid are calculated, and a second catering source emission list corresponding to each geographical grid is created accordingly. The first catering source emission list and the second catering source emission list are used for data linkage with the government management platform.

2. The method for establishing a dynamic and refined urban catering source emission inventory according to claim 1, characterized in that, The aforementioned method, based on network big data, emission source profiles, and government management platforms, dynamically collects information data from one or more catering enterprises in a target city, specifically including: Using web crawling technology to collect publicly available data on the basic information and activity levels of catering businesses on the Internet; Obtain localized, high-component-resolution emission profiles of catering sources; Connect to the government's regulatory database for catering enterprises and extract parameter data that characterizes the features of catering enterprises and changes in their emission activities; The information data includes: basic information about catering enterprises, data characterizing changes in the emission activities of catering enterprises, and PM2.5 from catering sources. 2.5 The emission source spectrum of VOCs and relevant information from environmental management departments regarding inspections and rectification actions of catering enterprises.

3. The method for establishing a dynamic and refined urban catering source emission inventory according to claim 1, characterized in that, The total emissions from the second catering source corresponding to the catering enterprises in each geographic grid are the sum of the total emissions from the first catering source corresponding to each catering enterprise in the corresponding grid; The second refined component emission amount corresponding to the catering enterprises in each geographic grid is the sum of the first refined component emission amounts corresponding to the catering enterprises in the corresponding grid; The total emissions from the second catering source corresponding to catering enterprises in each geographic grid include: second PM2.

5. 2.5 Total emissions and total emissions of second VOCs; the second refined component emissions corresponding to catering enterprises in each geographic grid include: second PM2.

5. 2.5 Detailed emission levels of components and second VOC species.

4. The method for establishing a dynamic and refined urban catering source emission inventory according to claim 1 or 3, characterized in that, The creation of the first food source emission list corresponding to each catering enterprise or the creation of the second food source emission list corresponding to each geographic grid includes: According to national emission standards for catering sources, PM2.5 has concentration limits and makes a significant contribution to secondary pollutants in the environment. 2.5 Components and VOC species; Combined with the first PM 2.5 The emissions of key pollutants from catering sources are refined by analyzing the component emissions and the emissions of the first VOC species to obtain an emissions inventory of key pollutants from catering sources for each catering enterprise; or, Combined with the second PM 2.5 The emissions of components and the emissions of second VOCs species were refined to obtain a second food service source emission inventory for each geographic grid regarding key pollutants emitted from food service sources, and combined with the first PM2.5 emission inventory. 2.5 Total emissions and total first VOCs emissions are used to obtain a list of key monitored enterprises for high-emission enterprises in each geographic grid.

5. A device for establishing a dynamic and refined urban catering source emission inventory, characterized in that, The method for establishing a dynamic and refined urban catering source emission inventory as described in any one of claims 1 to 4 includes: The data acquisition module is used to dynamically collect information data from multiple catering enterprises in the target city based on network big data, emission source spectrum and government management platform; The information matching module is used to classify various catering enterprises and obtain the impact data of catering source emissions by matching the information data; The inventory creation module is used to calculate the total first catering source emission and the first refined component emission for each catering enterprise based on the impact data of the catering source emissions, and to create a first catering source emission inventory for each catering enterprise accordingly; the target city is divided into multi-level geographical grids, the total second catering source emission and the second refined component emission for each geographical grid are calculated, and a second catering source emission inventory for each geographical grid is created accordingly; wherein, both the first catering source emission inventory and the second catering source emission inventory are used for data linkage with the government management platform.

6. The device for establishing a dynamic and refined urban catering source emission inventory according to claim 5, characterized in that, The device further includes a data storage and update module, used to store the data obtained by the data acquisition module, information matching module and list creation module, and to perform real-time dynamic updates.

7. A dynamic and refined urban catering source emission inventory establishment system coupled with urban environmental management decision-making, characterized in that, The system includes: The dynamic and refined urban catering source emission inventory establishment device as described in claim 5 is used to provide a dynamic and refined catering source emission inventory coupled with urban environmental management decision-making. The server is used to communicate with the dynamic and refined urban catering source emission inventory establishment device and receive feedback from the dynamic and refined catering source emission inventory provided by it, so as to provide scientific and timely urban environmental management decisions; and the server stores the government affairs management platform.

8. A computer device, characterized in that, The device includes: a memory, a processor, and a communicator; The memory is used to store a computer program; the processor is used to execute the computer program stored in the memory to cause the device to perform the method as described in any one of claims 1 to 4; the communicator is used to communicate with an external device.

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