A simulation-based carbon border impact prediction platform

Abstract

The present application relates to carbon emission evaluation technical field, specifically to a kind of carbon border influence prediction platform based on simulation simulation, it includes extracting carbon price and quota information to construct entry combination, identify emission path and manufacturing node connection structure, classify carbon statement content and establish path matching relationship, screen quota gap and match export path, mapping process flow generates emission classification chart group.The present application, extraction time identifier and product type field establish cross entry to clarify carbon price adaptation relationship, construct manufacturing and transportation node connection structure to improve emission diffusion identification capability, classify statement content and match commodity path to enhance carbon declaration adaptability, linkage path number screening uncovered quota entry to clarify vacancy combination, corresponding manufacturing process and export path construct emission classification path, realize carbon pricing quota state and emission structure System mapping, improve the cost estimation and risk identification capability of commodity under the carbon border adjustment mechanism.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of carbon emission evaluation, and in particular to a carbon border influence prediction platform based on simulation. BACKGROUND

[0002] The prior art takes carbon emission total amount evaluation and policy influence prediction as the core, lacks a structured disassembling method for quota information and emission content, is difficult to process emission description content under different description methods, and does not establish a dynamic corresponding relationship between carbon emission items and product paths, so that in a diversified export product scene, it is difficult to track the emission characteristics of path nodes, resulting in distortion of quota coverage judgment, especially in the case of manufacturing node complexity improvement or description loss, the emission content is difficult to collect and map, thereby affecting the precision of carbon emission cost prediction and the efficiency of strategy matching. SUMMARY

[0003] The application aims to solve the problems in the prior art and provides a carbon border influence prediction platform based on simulation.

[0004] In order to achieve the above-mentioned purpose, the application adopts the following technical scheme: a carbon border influence prediction platform based on simulation, the platform comprises:

[0005] A carbon price and quota distribution identification module obtains a carbon price and quota file in Europe, extracts time and product fields, combines and constructs items, classifies and groups description content, judges consistent and cross categories, filters repeated combinations, and generates a carbon boundary adjustment corresponding group list;

[0006] An emission path diffusion intensity capture module retrieves manufacturing and transportation nodes in an export path according to industrial category information listed in the carbon boundary adjustment corresponding group list, identifies paths with more than two manufacturing node connection quantities and no overlapping fields downstream, classifies and arranges export flow directions, and generates an export path emission association structure diagram set;

[0007] A cross-border carbon burden estimation module reads commodity items in the export path emission association structure diagram set, consults commodity descriptions, extracts key word passages related to customs clearance and carbon content, groups and classifies description differences, constructs a path and description passage corresponding relationship, and generates a carbon content declaration adaptability list;

[0008] A quota coverage state evolution module calls export link attribution items in the carbon content declaration adaptability list, compares quota records and path numbers, filters out quota field commodities, judges whether there is configuration information loss, and generates a quota coverage structure gap list.

[0009] As a further scheme of the present application, the carbon boundary adjustment corresponding group list comprises an adaptation time range identifier, a product type cross structure, a description expression category, and a repeatability discrimination label, the export path discharge association structure diagram set comprises a manufacturing node quantity feature, a path connection topology relationship, an export destination classification label, and a discharge source node identification mode, and the carbon content declaration adaptability list comprises a paragraph grouping code, a keyword field format, a description difference type, and a path adaptation mapping relationship.

[0010] As a further scheme of the present application, the carbon price and quota distribution identification module comprises a carbon price time matching sub-module, a quota item mapping sub-module, and a description content deduplication sub-module.

[0011] The carbon price time matching sub-module acquires a carbon price file published in a current transaction period of Europe, extracts a time identifier field and a product category field in each file, arranges different category records under the same time field side by side, establishes a one-to-one combination structure for the arranged records, assigns a sequential number to a product field involved in the combination structure, and generates a product pairing sequence under the time.

[0012] The quota item mapping sub-module calls the product category field extracted from the product pairing sequence under the time, reads an applicable product item marked in a quota publishing file, performs a comparison operation according to a product name field, identifies a quota record matched in the item, performs an identification binding operation on the matched item, supplements a quota description position index in the original structure, and generates a product quota association structure table.

[0013] The description content deduplication sub-module reads a description content paragraph corresponding to the item according to the quota description position index field supplemented in the product quota association structure table, extracts a verb phrase and a term expression of each paragraph of content, removes a repeated description field in the same export product, classifies the remaining content in the item into an industry classification structure, and generates a carbon boundary adjustment corresponding group list.

[0014] As a further scheme of the present application, the emission path diffusion intensity capture module comprises a node information extraction sub-module, a link connection identification sub-module, and a path structure classification sub-module.

[0015] The node information extraction sub-module acquires a manufacturing node field and a transportation node field in export path data according to industry category information listed in the carbon boundary adjustment corresponding group list, combines an industry link name in the manufacturing node field with a path number field, establishes an index structure for the combined manufacturing node according to a path number order, and generates a manufacturing node position index table.

[0016] The ring connection identification submodule calls the path number and the ring name recorded in the manufacturing node position index table, retrieves the connection relationship field and the transmission direction field in the path data, judges whether each manufacturing node is connected to more than two subsequent nodes, filters out the path records in the connection path whose subsequent node association field contents are not repeated, and generates a multi-connection path filtering result set;

[0017] The path structure classification submodule reads the exit destination label in the corresponding record according to the path number and the transmission direction field in the multi-connection path filtering result set, classifies the path records with the same exit label into a group, reorders the manufacturing nodes, the transportation nodes and the connection sequence field involved in each group to establish a path structure record table, and generates an exit path discharge association structure graph set.

[0018] As a further scheme of the application, the process of judging whether each manufacturing node is connected to more than two subsequent nodes is specifically: taking each manufacturing node recorded in the manufacturing node position index table as a retrieval object, querying the connection relationship field of the path data, obtaining the identification information of all subsequent nodes directly connected to the manufacturing node, and counting the identification information of the subsequent nodes to generate a subsequent node count value.

[0019] The process of filtering out the path records in the connection path whose subsequent node association field contents are not repeated further includes: when the subsequent node count value meets a preset diffusion condition, comparing the identification information of all subsequent nodes obtained for the same manufacturing node two by two to check that the identification information of any two subsequent nodes is not the same, and adding the path record containing the manufacturing node and all subsequent nodes connected thereto that passes the check to the multi-connection path filtering result set.

[0020] As a further scheme of the application, the cross-border carbon burden estimation module includes a commodity information extraction submodule, a field content classification submodule, and a paragraph structure mapping submodule.

[0021] The commodity information extraction submodule reads the commodity entry in the exit path discharge association structure graph set, obtains the carbon emission description text field in the commodity directory record in the platform, associates the exit code of the commodity entry with the corresponding description text one by one, groups according to the commodity category field, generates an independent description set for each group of commodities, and generates a commodity carbon emission description list.

[0022] The field content categorization submodule calls the set of description texts in the commodity carbon emission description list, extracts the keyword field and the sentence expression content in each paragraph, marks the paragraphs of verb groups, judges the text position of the repeatedly appearing keyword field in the description set, classifies the paragraphs at the repeated position to establish an identification number, and generates a keyword paragraph marking result table;

[0023] The paragraph structure mapping submodule matches the path number recorded in the commodity directory with the export link category according to the paragraph identification number in the keyword paragraph marking result table, establishes a mapping index of the path number and the corresponding paragraph identification number, groups the index results item by item and checks the consistency of path attribution, and generates a carbon content declaration adaptability list.

[0024] As a further scheme of the present application, the quota coverage state evolution module comprises a quota path comparison submodule, a commodity missing item identification submodule, and a gap structure generation submodule.

[0025] The quota path comparison submodule calls the export link attribution entry in the carbon content declaration adaptability list, aligns the path number in the entry with the path number in the platform carbon quota configuration record one by one, takes the combination of commodities corresponding to the number that cannot be matched to the quota coverage field as a missing mark set, and generates a quota misaligned commodity number set.

[0026] The commodity missing item identification submodule extracts the export link record field in the combination item based on the commodity combination in the quota misaligned commodity number set, judges whether the quota change field in each record is empty, screens the entry number of the export link with an empty field, groups and marks the commodities according to the commodity classification field, and generates a quota field missing entry set.

[0027] The gap structure generation submodule establishes a structure mapping index between the commodity classification field and the export path number according to the grouping mark information in the quota field missing entry set, marks the corresponding field position in the path record in each group index, arranges the commodity path relationship of the structure missing item, and generates a quota coverage structure gap list.

[0028] As a further scheme of the present application, the process of judging whether the quota change field in each record is empty specifically comprises: detecting the data content in the export link record field one by one, matching and checking the data content with a preset null value mark, and adding the entry number containing the quota change field to the quota field missing entry set if the checking result is a matching success.

[0029] The process of establishing the structure mapping index between the commodity classification field and the export path number is specifically: taking the commodity classification field in the quota field missing entry set as an index key, and aggregating all export path numbers belonging to the same commodity classification field into a set as an index value corresponding to the index key, wherein each export path number in the index value is marked with its original field position information in the path record.

[0030] As a further scheme of the present application, the platform further comprises:

[0031] The emission output composition turning module consults the export commodity classification information in the quota coverage structure gap list, locates the commodity manufacturing node paragraph, extracts the description field of the missing emission source, arranges the process number where the field is located and pairs the export flow direction, and generates an export emission structure mapping diagram set.

[0032] The export emission structure mapping diagram set comprises a process number path, an emission component missing paragraph, a manufacturing process corresponding relationship, and an export flow direction pairing structure.

[0033] As a further scheme of the present application, the emission output composition turning module comprises a missing paragraph marking submodule, a record number pairing submodule, and an emission structure generating submodule.

[0034] The missing paragraph marking submodule calls the export commodity classification information in the quota coverage structure gap list, locates the process flow paragraph of the corresponding commodity in the manufacturing node record, screens whether there is a carbon emission source term in the description field in the process paragraph, marks the paragraph field of the missing term, extracts the process record number where it is located, and generates a missing source paragraph number set.

[0035] The record number pairing submodule matches the path number field in the commodity export flow direction according to the record number in the missing source paragraph number set, one-to-one pairs the commodity classification corresponding to each group of numbers, arranges the mapping information of the commodity classification field and the process number field in the pairing relationship, and generates a commodity process path mapping table.

[0036] The emission structure generating submodule extracts process paragraph sequence information in the commodity path based on the pairing data of the commodity and the process number in the commodity process path mapping table, arranges the emission composition field position and sequence in each type of commodity path, constructs the emission structure relationship of the commodity path, and generates an export emission structure mapping diagram set.

[0037] Compared with the prior art, the present application has the advantages and positive effects that:

[0038] In the present application, in the process of carbon emission element processing, cross entries are established by extracting time identifiers and product type fields to clarify carbon price adaptation relationship, path topology structure is constructed by the difference connection of manufacturing nodes and transportation nodes to improve emission intensity diffusion identification capability, the corresponding way of content and path is enhanced by segmented classification to enhance the adaptation matching of carbon content declaration, uncovered items are screened by the linkage of quota record and path number to clarify the vacancy combination in quota configuration, the emission composition classification path is constructed by the corresponding of manufacturing process field and export path to form the system mapping of carbon pricing, quota state and commodity emission structure, effectively improving the cost estimation and risk identification capability of export commodities under the constraint of carbon border adjustment mechanism. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 The platform system flowchart of the present application is shown in the figure.

[0040] Figure 2 The acquisition flowchart of the carbon price and quota distribution identification module of the present application is shown in the figure.

[0041] Figure 3 The acquisition flowchart of the emission path diffusion intensity capture module of the present application is shown in the figure.

[0042] Figure 4 The acquisition flowchart of the cross-border carbon burden estimation module of the present application is shown in the figure.

[0043] Figure 5 The acquisition flowchart of the quota coverage state evolution module of the present application is shown in the figure.

[0044] Figure 6 The acquisition flowchart of the emission output composition conversion module of the present application is shown in the figure. DETAILED DESCRIPTION

[0045] The technical solutions in the present application will be described below with reference to the accompanying drawings.

[0046] In the embodiments of the present application, the words such as "example", "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be one of the two.

[0047] In the embodiments of the present application, "image" and "picture" can be used interchangeably, and it should be pointed out that the meanings expressed are consistent when the distinction is not emphasized.

[0048] In the embodiments of the present application, sometimes the subscript such as W1 can be written in the form of non-subscript such as W1, and the meanings expressed are consistent when the distinction is not emphasized.

[0049] In order to make the technical problems, technical solutions and advantages to be solved by the present application more clear, the following will be described in detail in conjunction with the drawings and specific embodiments.

[0050] Please refer to Figure 1 The present application provides a technical solution: a carbon border influence prediction platform based on simulation, which comprises:

[0051] A carbon price and quota distribution identification module obtains various carbon price files and quota release files in the current trading period of Europe, extracts the time identification field and the applicable product type field in the files, constructs the corresponding entries of the price according to the cross combination of the fields, classifies and arranges the description in the combined entries, judges whether the description change direction and the cross type of the applicable product in the entry classification appear repeatedly, screens out the entry combinations with consistent description and consistent product category, and generates a corresponding group list of carbon boundary adjustment;

[0052] An emission path diffusion intensity capture module, according to the industry category information listed in the carbon boundary adjustment corresponding group list, calls the manufacturing node and transportation node identification in the export path data in the platform, connects the manufacturing node as the main emission source node with the subsequent transmission nodes, analyzes the path entries with more than two manufacturing node connection quantities and non-repeated subsequent node association fields in the path record, extracts such paths and classifies and archives them according to the export destination label, and generates a set of export path emission association structure diagrams;

[0053] A cross-border carbon burden estimation module reads the commodity entries in the export path emission association structure diagram set, calls various carbon emission description contents in the commodity entries in the platform, identifies the keyword fields in the description contents, and classifies and labels the paragraphs at the repeated positions in the description contents, groups the entries with different description formats in the content paragraphs, establishes the matching relationship between the grouped description paragraphs and the commodity paths, and generates a carbon content declaration adaptability list;

[0054] The quota coverage state evolution module calls the export link attribution item in the carbon content declaration adaptability list, performs path number alignment operation on the export link item and the platform carbon quota configuration record, screens the product combination without explicit coverage content in the quota record, judges whether the export link in the product combination exists the case that the quota change record field is empty, extracts the product item meeting the condition and sorts according to the product classification, and generates a quota coverage structure gap list;

[0055] The emission output composition turning module refers to the export product classification information in the quota coverage structure gap list, locates the process flow paragraph of the product in the manufacturing node record, marks the paragraph field missing the carbon emission source description in the manufacturing node flow description, sorts the flow record number where the paragraph field is located, pairs the record number with the product export flow one by one, generates the emission composition classification path of the product corresponding flow according to the pairing result, and generates an export emission structure mapping group.

[0056] The carbon boundary adjustment corresponding group list includes an adaptation time range identifier, a product type cross structure, a description expression category, and a repetition discrimination label. The export path emission association structure diagram set includes manufacturing node quantity characteristics, path connection topological relationship, export destination classification label, and emission source node identification method. The carbon content declaration adaptability list includes paragraph grouping coding, keyword field format, description difference type, and path adaptation mapping relationship. The quota coverage structure gap list includes quota missing product category, export link coverage state, path number corresponding condition, and change field vacancy identification. The export emission structure mapping group includes flow number path, emission component missing paragraph, manufacturing process corresponding relationship, and export flow direction pairing structure.

[0057] Please refer to Figure 2 The carbon price and quota distribution identification module includes a carbon price time matching submodule, a quota item mapping submodule, and a description content deduplication submodule.

[0058] The carbon price time matching submodule obtains the carbon price file published in the current transaction period of China and Europe, extracts the time identifier field and product category field in each file, arranges the different category records under the same time field side by side, establishes a one-to-one combination structure for the arranged items, assigns a sequence number to the product field involved in the combination structure, and generates a product pairing sequence under the time;

[0059] The system extracts the time identifier field from the metadata of each file and confirms it as a common time identifier, and then extracts the product category field from the file content, such as "steel", "aluminum", etc. from the carbon price file of market A, and "steel industry", "aluminum industry", etc. from the corresponding file of market B. The system arranges these corresponding categories side by side under the common time identifier to form a series of record pairs such as [time identifier, "cement", "cement manufacturing"] and the like. All six record pairs are established in a one-to-one combination structure to create a dictionary with time identifier as the key and a list containing all product pair tuples as the value: {time identifier: [(“steel”, “steel industry”), (“aluminum”, “aluminum industry”), …, (“electricity”, “cross-border transmission”)]}. Assign a unique sequential number (1 to 12) to all product fields involved in this structure, which is used as an unchanging internal identifier in the subsequent process to generate the product pairing sequence under the time.

[0060] The quota entry mapping submodule calls the product category fields extracted from the product pairing sequence under the time, reads the applicable product entries marked in the quota release file, and performs a comparison operation on the product name field to identify the quota records that match the name field in the entry. The system performs an identification binding operation on the entries that match successfully and supplements the original structure with a quota description position index to generate a product quota association structure table.

[0061] The system calls the generated product pairing sequence under the time and extracts the product category and its number one by one. For example, for “fertilizer” and its associated number, the system reads the corresponding industry emission quota allocation scheme of the exporting country and the importing region released within the current reporting period. In these official documents, the system performs a comparison operation on the product name field, specifically scanning the “applicable product name” column in the export country quota file. When a specific product related to “fertilizer” (such as “urea”) is scanned, it is determined through the built-in synonym library that it belongs to the “fertilizer” category and is considered a match. The system then performs an identification binding operation, binding the product number of “fertilizer” with the row number of the entry in the file to form a data pair. After performing similar operations in the importing region file, the system supplements a new field named “quota description position index” in the original product pairing sequence structure, and writes the two data pairs as a list to this field. This process will be applied to all six major categories of products to generate a complete product quota association structure table.

[0062] The description content deduplication submodule reads the description content paragraphs corresponding to the entries according to the quota description position index field supplemented in the product quota association table, extracts the verb phrases and term expressions of each content paragraph, removes the repeated description field in the same export product, and generates a corresponding group list of carbon boundary adjustment.

[0063] According to the quota description position index supplemented in the product quota association table, the description content paragraphs of any CBAM product (such as “cement”) in two market quota files are located and read. The system extracts the verb phrase set and professional term set from the two descriptions respectively through natural language processing tools. After translation and term alignment, the system calculates the similarity of the two sets of sets using the Jaccard similarity coefficient. The deduplication threshold (for example, 0.8) of this calculation is based on the statistical results of the comparison analysis of historical policy file descriptions. Descriptions higher than this threshold have no significant difference in actual implementation. If the calculated similarity is lower than the threshold, it is determined that the description is not repeated, and both contents are retained. The system classifies all retained entry contents into their respective industry classification structures to generate a corresponding group list of carbon boundary adjustment.

[0064] Please refer to Figure 3 The emission path diffusion intensity capture module includes a node information extraction submodule, a link connection identification submodule, and a path structure classification submodule.

[0065] The node information extraction submodule obtains the manufacturing node field and the transportation node field in the export path data according to the industry category information listed in the carbon boundary adjustment corresponding group list, combines the industry link names and path number fields in the manufacturing node field, and establishes an index structure for the combined manufacturing nodes in path number order to generate a manufacturing node position index table.

[0066] According to the industry category information (such as “electric power” and “basic chemical raw material manufacturing”) listed in the carbon boundary adjustment corresponding group list, the path data about the relevant export batches in the platform is obtained. For any batch, the system extracts its manufacturing node, transportation node, and unique path number. The system performs string concatenation and combination of the industry link names (such as “generator set” and “synthesis device”) in the manufacturing node field and their respective path number fields. After performing the same combination operation on all export paths belonging to the CBAM covered categories, the system arranges the combined strings as keys and the original path numbers as values in order to establish a manufacturing node position index table covering all six types of products.

[0067] The link connection identification submodule calls the path number and link name recorded in the manufacturing node position index table, retrieves the connection relationship field and transmission direction field in the path data, judges whether each manufacturing node is connected to more than two subsequent nodes, filters out path records in the connection path whose subsequent node association field content is not repeated, and generates a multi-connection path filtering result set;

[0068] The process of judging whether each manufacturing node is connected to more than two subsequent nodes is specifically: taking each manufacturing node recorded in the manufacturing node position index table as a retrieval object, querying the connection relationship field of the path data, obtaining the identification information of all subsequent nodes directly connected to each manufacturing node, and counting the identification information of the subsequent nodes to generate a subsequent node count value;

[0069] The process of filtering out path records in the connection path whose subsequent node association field content is not repeated further includes: when the subsequent node count value meets the preset diffusion condition, comparing the identification information of all subsequent nodes obtained for the same manufacturing node in pairs to check that the identification information of any two subsequent nodes is not the same, and adding the path record containing the manufacturing node and all subsequent nodes connected thereto that passes the check to the multi-connection path filtering result set;

[0070] The path identifier of any CBAM product (such as "aluminum") recorded in the manufacturing node position index table and its associated manufacturing node are called. Taking this manufacturing node as a retrieval object, the system queries the connection relationship in the logistics and production execution system database to obtain the identification information of all subsequent nodes directly connected to the manufacturing node. The system counts the number of these subsequent nodes and compares it with the preset diffusion condition threshold value. This threshold value is set based on statistical analysis of historical export path data and aims to identify potential high-risk paths in carbon footprint data transmission. If the number of subsequent nodes exceeds the threshold value, the system will compare the identification information of all subsequent nodes in pairs to confirm that there is no duplication, and then add the complete path record containing the manufacturing node and all its directly subsequent nodes to the multi-connection path filtering result set.

[0071] The path structure classification submodule reads the export destination label in the corresponding record according to the path number and transmission direction field in the multi-connection path filtering result set, classifies the path records with the same export label into a group, and reorders the manufacturing nodes, transportation nodes, and connection order fields involved in each group to establish a path structure record table, and generates a set of export path emission association structure diagrams;

[0072] According to the path records contained in the multi-connection path screening result set, the path identifier and the transmission direction are extracted, and the export destination label is read. The system classifies all path records with the same destination label (regardless of steel, aluminum, or fertilizer, etc.) into a group. Then, in each group, the system reorders the manufacturing nodes involved, all transportation nodes, and the connection order of each link according to the pre-defined "manufacturing- intra-factory logistics- domestic transportation- cross-border transportation" order template, to establish a structured path record table, as shown in Table 1. This table can standardize and juxtapose the supply chain structure of different CBAM products shipped to the same destination.

[0073] Table 1: Export path structure record table

[0074]

[0075] As shown in Table 1, the table clearly shows the internal structure and node order of each export path with the same destination label. After completing this operation for all groups, the export path discharge association structure diagram set is generated.

[0076] Referring to Figure 4 , the cross-border carbon burden estimation module includes a commodity information extraction submodule, a field content classification submodule, and a paragraph structure mapping submodule.

[0077] The commodity information extraction submodule reads the commodity entries in the export path discharge association structure diagram set, obtains the carbon emission description text field in the commodity catalog record in the platform, one-to-one associates the export code of the commodity entry with the corresponding description text, groups by the commodity category field, generates an independent description set for each group of commodities, and generates a commodity carbon emission description list.

[0078] Reading any commodity entry in the export path discharge association structure diagram set, obtaining the carbon emission description text field in the commodity catalog record in the platform, this field is usually linked to a detailed life cycle assessment (LCA) report document. The system one-to-one associates the export code (such as HS Code) of the commodity entry with the corresponding description document ID, and establishes a mapping relationship. Grouping by the commodity category field, similar commodities are classified into the same group. Repeat the above association operation for all commodities in the group, and combine all associated description document IDs to generate an independent description set for each subcategory under the CBAM category, and generate a commodity carbon emission description list.

[0079] The field content categorization submodule calls the set of explanatory texts in the CBAM product category, extracts the key word fields and sentence expression content in each paragraph, marks the paragraphs containing verb groups, judges the text positions of the repeatedly appearing key word fields in the explanatory set, classifies the repeatedly positioned paragraphs to establish an identification number, and generates a key word paragraph marking result table;

[0080] The set of explanatory texts in the CBAM product category is called. The system reads one of the documents, extracts the paragraphs describing the key production processes, and identifies the key word fields (such as "power source", "unit product power consumption") and corresponding values from them. The system marks the paragraphs containing specific verbs (such as "production", "consumption"), and judges all the occurrence positions of the key fields (such as "power source") in the entire set of explanatory texts. If the key word appears in the description of different processes (such as main production equipment and auxiliary equipment), the system will classify these paragraphs and establish a common identification number for them, representing that these paragraphs all involve the same key information. This process will be applied to all key words to generate a key word paragraph marking result table.

[0081] The paragraph structure mapping submodule matches the path numbers recorded in the commodity directory with the export link categories according to the paragraph identification numbers in the key word paragraph marking result table, establishes a mapping index of the path numbers and corresponding paragraph identification numbers, groups the index results item by item and checks the consistency of path attribution, and generates a carbon content declaration adaptability list;

[0082] According to the paragraph identification numbers in the key word paragraph marking result table, the path numbers recorded in the commodity directory are matched. For any identification number, the system confirms the goods and corresponding export paths to which all the paragraphs associated with it belong. At the same time, the system consults the directory records to determine whether the processes described by these paragraphs belong to the same export link category (such as "manufacturing"). A mapping index of the path numbers and corresponding paragraph identification numbers is established. After all the paths are indexed, the system will be checked. If the identification numbers under the same path correspond to inconsistent link categories (for example, one points to "manufacturing" and the other points to "transportation"), it is determined that the path attribution is inconsistent and is marked. All mapping relationships that pass the verification are collected to generate a carbon content declaration adaptability list.

[0083] Please refer to Figure 5 The quota coverage state evolution module includes a quota path comparison submodule, a commodity missing item identification submodule, and a gap structure generation submodule.

[0084] The quota path comparison submodule calls the export link attribution item in the carbon content declaration adaptive list, aligns the path number in the item with the path number in the platform carbon quota configuration record one by one, takes the commodity combination that cannot be matched to the quota coverage field as the missing marker set, and generates the quota misaligned commodity number set;

[0085] The export link attribution item in the carbon content declaration adaptive list is called. For any item, the system queries and matches in the platform carbon quota configuration record database according to the path number thereof. The database records the path numbers corresponding to the specific production facilities or projects that have been allocated quotas. After performing the exact matching query operation, if an item completely consistent with the path number cannot be found in the quota record (for example, because the production process is not included in the quota management in the export country), the system adds the path number and the corresponding commodity as an element to a missing marker set. After performing the alignment operation on all items in the list, the quota misaligned commodity number set is generated.

[0086] The commodity missing item identification submodule extracts the export link record field in the commodity combination in the quota misaligned commodity number set, judges whether the quota change field in each record is empty, screens the item numbers of the items with empty fields in the export link, marks the groups according to the commodity classification field, and generates the quota field missing item set;

[0087] The process of judging whether the quota change field in each record is empty is specifically: the data content in the export link record field is detected one by one, the data content is matched and verified with the preset empty value identifier, if the verification result is matching success, the item number containing the quota change field is added to the quota field missing item set;

[0088] Based on the information in the quota misaligned commodity number set, the export link record field in any combination item is extracted. The field is a data structure containing multiple key-value pairs. The system detects the data content of a specific field (such as the “quota change field”) one by one, and matches and verifies the value thereof with the preset empty value identifier set. If the matching is successful, the system adds the path number of the item to the quota field missing item set. All items in the set are marked in groups according to the commodity classification field (such as “cement”, “electricity”, etc.), forming a structure organized according to the CBAM product category, and generating the quota field missing item set.

[0089] The gap structure generation submodule establishes the structure mapping index between the commodity classification field and the export path number according to the grouping marker information in the quota field missing item set, labels the corresponding field position in the path record in each group index, arranges the commodity path relationship of the structure missing item, and generates the quota coverage structure gap list;

[0090] The process of establishing the structural mapping index between the commodity classification field and the export path number is as follows: taking the commodity classification field in the quota field missing item set as the index key, and aggregating all export path numbers belonging to the same commodity classification field into a set as the index value corresponding to the index key, wherein each export path number in the index value is marked with its original field position information in the path record.

[0091] According to the label information of the quota field missing item set grouped by six major categories of products, the structural mapping index between the commodity classification field and the export path number is established. Operationally, any commodity classification field (such as "cement") is taken as the key of the index, and all missing information path numbers belonging to the classification are aggregated into a set as the value corresponding to the key. During the aggregation process, the system will mark the exact position of each path number in the original database (such as table name, row number, column number). By organizing these commodity path relationships with structural missing items, the system generates a quota coverage structure gap list covering all related products, as shown in Table 2.

[0092] Table 2: Quota Coverage Structure Gap Example

[0093]

[0094] As shown in Table 2, the list explicitly indicates the commodity categories with missing quota information, the specific export path, and the exact position of the missing information in the original data record.

[0095] Please refer to Figure 6 , the emission output composition turning module includes a missing section marking submodule, a record number pairing submodule, and an emission structure generation submodule.

[0096] The missing section marking submodule calls the export commodity classification information in the quota coverage structure gap list, locates the process flow section of the corresponding commodity in the manufacturing node record, screens whether there is a carbon emission source term in the description field of the flow section, marks the section field of the missing term, extracts the process record number where it is located, and generates a missing source section number set.

[0097] Call any of the export commodity classification information in the quota coverage structure gap list, locate to the process flow description paragraph of a certain manufacturing node of this kind of commodity. The system will specifically screen the paragraph content describing the core production process, and search in this paragraph whether there is a predefined term library directly related to the carbon emission source of this industry. Each CBAM industry has its own independent term library. After searching, if it is found that the paragraph description does not contain these key terms, the system will mark this paragraph field as "missing key carbon emission source terms", and extract the unique number of this process record, and add it to a set. After this operation is completed for all gap commodities, the missing source paragraph number set is generated.

[0098] The record number pairing submodule matches the path number field in the commodity export flow according to the record number in the missing source paragraph number set, pairs each group of number corresponding commodity classification one by one, sorts the mapping information of the commodity classification field and the process number field in the pairing relationship, and generates a commodity process path mapping table;

[0099] According to any process record number in the missing source paragraph number set, in the commodity export flow database of the platform, the export path identifier to which it belongs is matched through foreign key association. The system pairs the commodity classification, process record number, and export path identifier corresponding to the process one by one to establish a pairing relationship record containing three tuples, such as: ("commodity classification", "process record number", "export path identifier"). By sorting this relationship, the system maps the commodity classification and the specific process number, while retaining the associated export path information. After performing this operation on all records in the number set, the commodity process path mapping table is generated, which provides direct indexing for subsequent precise positioning of emission gaps.

[0100] The emission structure generation submodule extracts process paragraph order information in the commodity path based on the pairing data of commodities and process numbers in the commodity process path mapping table, sorts the position and order of the emission composition field in each commodity path, constructs the commodity path emission structure relationship, and generates a set of export emission structure mapping diagrams;

[0101] Based on the pairing data of any product and its process number in the commodity process path mapping table, extract the process paragraph order information in the corresponding export path record. The system sorts the position and order of the emission composition field of each process paragraph in the commodity path. In particular, for the link where information is missing, the system will uniformly mark the multiple key emission composition fields missing inside as "to be supplemented data source" when constructing its emission structure relationship. The system constructs a detailed and visual commodity path emission structure relationship diagram, which shows the complete value chain from raw materials to finished products in the form of a flowchart, and highlights the nodes with missing data, while providing a list of missing specific fields, generating a set of export emission structure mapping diagrams.

[0102] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A carbon border impact prediction platform based on simulation, characterized in that, The platform includes: The carbon price and quota distribution identification module obtains the China-EU carbon price and quota documents, extracts the time and product fields, combines and constructs entries, classifies and groups the description content, judges the direction of consistency and cross categories, filters duplicate combinations, and generates a list of corresponding groups for carbon boundary adjustment. The emission path diffusion intensity capture module adjusts the industry category information listed in the corresponding group list according to the carbon boundary, retrieves manufacturing and transportation nodes in the export path, identifies paths with more than two manufacturing nodes connected and no overlapping fields downstream, classifies and organizes the export flow, and generates an export path emission association structure atlas. The cross-border carbon burden calculation module reads the commodity entries in the export route emission correlation structure graph set, reviews the commodity descriptions, extracts keyword paragraphs related to customs clearance and carbon content, groups and classifies the differences, constructs the correspondence between the route and the description paragraphs, and generates a carbon content declaration adaptability list. The quota coverage status evolution module calls the export link attribution item in the carbon content declaration adaptability list, compares the quota record with the path number, filters out commodities with missing quota fields, determines whether there is missing configuration information, and generates a quota coverage structure gap list. The carbon price and quota distribution identification module includes a carbon price time matching submodule, a quota item mapping submodule, and a description content deduplication submodule; The carbon price time matching submodule retrieves the carbon price documents published in the current trading cycle of China and Europe, extracts the time identifier field and product category field from each document, arranges different category records under the same time field in parallel, establishes a one-to-one combination structure for the arranged items, assigns sequential numbers to the product fields involved in the combination structure, and generates a product pairing sequence under the time. The quota item mapping submodule calls the product category field extracted from the product pairing sequence under the time, reads the applicable product items marked in the quota release file, performs a comparison operation by the product name field, identifies the quota records that match the name field in the items, performs an identification and binding operation on the successfully matched items, and adds the quota description position index to the original structure to generate a product quota association structure table. The description content deduplication submodule reads the description content paragraphs corresponding to the entries based on the quota description position index field supplemented in the product quota association structure table, extracts verb phrases and terminology expressions of each paragraph, removes paragraphs that appear repeatedly in the description field in the same export product, and assigns the remaining content in the entries that have not been removed to the industry classification structure to generate a list of corresponding groups for carbon boundary adjustment. The cross-border carbon burden calculation module includes a commodity information extraction submodule, a field content classification submodule, and a paragraph structure mapping submodule; The product information extraction submodule reads the product entries from the export path emission association structure graph set, obtains the carbon emission description text field from the product catalog record in the platform, associates the export code of the product entry with the corresponding description text, performs grouping operation according to the product type field, generates an independent description set for each group of products, and generates a product carbon emission description list. The field content classification submodule calls the set of explanatory texts in the commodity carbon emission description list, extracts the keyword fields and sentence expression content in each paragraph, marks the paragraphs with verb phrases, determines the text position of the repeated keyword fields in the description set, classifies the paragraphs with repeated positions and establishes identification numbers, and generates a keyword paragraph labeling result table. The paragraph structure mapping submodule matches the path number and export link classification recorded in the product catalog with the paragraph identifier number in the keyword paragraph annotation result table, establishes a mapping index between the path number and the corresponding paragraph identifier number, groups the index results item by item and verifies the consistency of path affiliation, and generates a carbon content declaration adaptability list.

2. The carbon border impact prediction platform based on simulation according to claim 1, characterized in that: The carbon boundary adjustment corresponding group list includes the adaptation time range identifier, product type cross structure, description category, and duplicate discrimination label. The export path emission association structure atlas includes the manufacturing node quantity characteristics, path connection topology, export destination classification label, and emission source node identification method. The carbon content declaration adaptability list includes paragraph grouping code, keyword field format, description difference type, and path adaptation mapping relationship. The quota coverage structure gap list includes quota missing commodity categories, export link coverage status, path number correspondence, and change field missing identifier.

3. The carbon border impact prediction platform based on simulation according to claim 1, characterized in that, The emission path diffusion intensity capture module includes a node information extraction submodule, a link connection identification submodule, and a path structure classification submodule. The node information extraction submodule adjusts the industry category information listed in the corresponding group list according to the carbon boundary, obtains the manufacturing node field and transportation node field in the export route data, combines the industry link name and route number field contained in the manufacturing node field, establishes an index structure for the combined manufacturing nodes according to the route number order, and generates a manufacturing node location index table. The link connection identification submodule calls the path number and link name recorded in the manufacturing node location index table, retrieves the connection relationship field and transmission direction field in the path data, determines whether each manufacturing node is connected to more than two subsequent nodes, filters out path records in the connection path where the content of the subsequent node association field is not repeated, and generates a multi-connection path filtering result set. The path structure classification submodule reads the exit destination label from the corresponding record based on the path number and transmission direction field in the multi-connection path filtering result set, groups the path records with the same exit label into a group, and reorders the manufacturing node, transportation node, and connection sequence fields involved in each group to establish a path structure record table and generate an exit path emission association structure atlas.

4. The carbon border impact prediction platform based on simulation according to claim 3, characterized in that, The process of determining whether each manufacturing node is connected to more than two subsequent nodes is as follows: taking each manufacturing node recorded in the manufacturing node location index table as the retrieval object, querying the connection relationship field of the path data, obtaining the identification information of all subsequent nodes directly connected to each manufacturing node, and counting the identification information of the subsequent nodes to generate a subsequent node count value. The process of filtering out path records in the connection path where the content of the associated fields of subsequent nodes is not repeated further includes: when the count value of the subsequent nodes meets the preset diffusion condition, comparing the identification information of all subsequent nodes obtained for the same manufacturing node in pairs to verify that the identification information of any two subsequent nodes is different, and adding the path records that pass the verification and contain the manufacturing node and all its connected subsequent nodes to the multi-connection path filtering result set.

5. The carbon border impact prediction platform based on simulation according to claim 1, characterized in that, The quota coverage status evolution module includes a quota path comparison submodule, a commodity missing item identification submodule, and a gap structure generation submodule. The quota path comparison submodule calls the export link attribution entry in the carbon content declaration adaptability list, aligns the path number attached to the entry with the path number in the platform carbon quota configuration record one by one, and takes the product combination corresponding to the number that cannot be matched with the quota coverage field as the missing mark set, and generates a quota misaligned product number set. The missing item identification submodule extracts the export link record field within the combination item based on the product combination in the set of product numbers with misaligned quotas, determines whether the quota change field in each record is empty, filters the item numbers with empty fields in the export link, groups and marks them according to the product classification field, and generates a set of items with missing quota fields. The gap structure generation submodule establishes a structural mapping index between the commodity classification field and the export path number based on the grouping mark information in the set of missing quota field entries, marks the position of the corresponding field in the path record in each group of indexes, organizes the commodity path relationship of the missing structural items, and generates a quota coverage structural gap list.

6. The carbon border impact prediction platform based on simulation according to claim 5, characterized in that, The process of determining whether the quota change field in each record is empty is as follows: check the data content in the field of the record in the exit link one by one, match the data content with the preset empty value identifier, and if the verification result is a successful match, add the entry number containing the quota change field to the quota field missing entry set. The process of establishing a structural mapping index between the commodity category field and the export path number is as follows: using the commodity category field in the quota field missing entry set as the index key, and aggregating all export path numbers belonging to the same commodity category field into a set as the index value corresponding to the index key, wherein each export path number in the index value is marked with its original field position information in the path record.

7. The carbon border impact prediction platform based on simulation according to claim 1, characterized in that, The platform also includes: The emission output constitutes a reversal module, which looks up the export commodity classification information in the quota coverage gap list, locates the commodity manufacturing node segment, extracts the description field of the missing emission source, organizes the process number of the field and matches it with the export flow, and generates an export emission structure mapping group. The export emission structure mapping group includes process number paths, missing emission component segments, manufacturing process correspondences, and export flow pairing structures.

8. The carbon border impact prediction platform based on simulation according to claim 7, characterized in that, The emission output conversion module includes a missing segment annotation submodule, a record number matching submodule, and an emission structure generation submodule. The missing segment annotation submodule calls the export commodity classification information in the quota coverage structure gap list, locates the process flow segment of the corresponding commodity in the manufacturing node record, screens whether there are carbon emission source terms in the description field of the process segment, annotates the segment field of the missing term, extracts the process record number where it is located, and generates a set of missing source segment numbers. The record number matching submodule matches the path number field in the product export flow direction according to the record number in the missing source paragraph number set, matches each group of numbers with the corresponding product category, organizes the mapping information between the product category field and the process number field in the matching relationship, and generates a product process path mapping table. The emission structure generation submodule extracts the process segment sequence information in the product path based on the pairing data of product and process number in the product process path mapping table, organizes the position and order of emission composition fields in each type of product path, constructs the product path emission structure relationship, and generates an outlet emission structure mapping diagram group.

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