A cross-border carbon cost multi-dimensional strategy evaluation platform

Abstract

The present application relates to carbon cost evaluation technical field, specifically to a kind of cross-border carbon cost multidimensional strategy evaluation platform, it includes the field of collection cross-border carbon emission requirement, compare difference and number, number is bound to path node, constructs path difference mapping structure, locate multi-field overlap path, identify export direction connectivity, mark not connected path section, according to time and label, map cross-region carbon cost structure difference distribution atlas.The present application is numbered by export direction carbon emission requirement with source field, path node is identified differently, and the identification rule of segment field coincidence relationship is extracted and is staggered.Field combination distribution is converted into path chain identification basis, and channel connectivity is positioned and adjusted breakpoint in linkage with field mapping.Path number and adjustment record, time range and label source correspond, form region, time, policy three-way binding, construct with cross-region difference discernment and carbon cost traceability capability structure.

Description

Technical Field

[0001] This invention relates to the field of carbon cost assessment technology, and in particular to a multi-dimensional strategy assessment platform for cross-border carbon costs. Background Technology

[0002] The field of carbon cost assessment technology encompasses the entire process of data support for calculating, collecting, and strategically managing the carbon costs incurred by enterprises in trade activities under international carbon emission rules. Core components include the construction of a database of carbon emission factors and the carbon footprint of products throughout their entire lifecycle; standardized accounting of carbon emissions; integration of international carbon pricing mechanisms; analysis of national carbon policy provisions; adaptation of carbon border adjustment mechanisms; carbon tax and carbon quota pricing modeling; regional trade structure analysis; and carbon emission cost path projection. Against the backdrop of carbon tariffs, carbon leakage prevention, and rising export costs, this technology plays a crucial supporting role in identifying carbon compliance risks in the industrial chain, simulating cost control decisions, and adjusting trade structures.

[0003] The Cross-Border Carbon Cost Multidimensional Strategy Assessment Platform, developed against the backdrop of the formal implementation of the EU's Carbon Border Adjustment Mechanism, addresses the rising implicit carbon emission costs faced by key export commodities such as steel, aluminum, and cement. It utilizes the export commodity product category coding system to construct a mapping rule between commodities and carbon emission factors, connects to the EU CBAM rule base and carbon price evolution model, integrates data on export flows, quantities, and commodity attributes to the EU, and establishes a carbon cost calculation path structure applicable to different countries, industries, and product combinations. Through model calculations and policy parameter linkage, it forms a carbon cost assessment scheme based on three dimensions: product structure, regional policies, and carbon pricing mechanisms. The platform primarily relies on carbon tariff policy analysis rules, commodity carbon footprint accounting factor tables, cross-border trade data interfaces, and international carbon price dynamic comparison tables.

[0004] In existing technologies, the construction of export carbon cost structure relies on the static mapping between product codes and emission factors. The path processing lacks a field source identification mechanism. When carbon emission rules overlap, it is impossible to extract the source of difference from the path nodes. Field conflicts manifest as numerical differences but do not have structural expression. Channel matching obstacles make it difficult to form a traceable chain. When the same product involves multiple policy clauses or regulatory rules in multi-path exports, the assessment results cannot clearly identify the path position of the source of difference. The fields in the path chain have not established mutual tracking index relationships, resulting in the dispersion of carbon cost change sources in the region, affecting the complete identification of structural levels and the formulation of export direction strategies. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing a multi-dimensional strategy assessment platform for cross-border carbon costs.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a multi-dimensional strategy assessment platform system for cross-border carbon costs, the platform comprising:

[0007] The carbon regulation field collection and comparison module obtains carbon regulation fields for export direction from the platform, classifies them by emission period, industry category, and regulation coverage field, performs consistency verification on different sources of the same field, sets source label numbers for fields with inconsistencies, and generates a catalog of field differences in export markets.

[0008] The migration path node construction module extracts path node data based on the field numbers in the export market field difference catalog list, embeds the field numbers into the node records, establishes an identifier structure for path segments with multiple numbers according to the node sequence, and generates a tag-bound path node mapping structure.

[0009] The emission path difference location module identifies dense segments of field numbers from the marked and bound path node mapping structure, extracts number groups within the path segments, performs a number combination overlap judgment, sets a mark value for paths with intersecting fields, and generates a cross-field overlapping path distribution table.

[0010] The export direction connectivity identification module extracts the path number based on the cross-field overlapping path distribution table, obtains the export direction and product classification, determines the path and export compatibility relationship, sets a mark for path segments that cannot be connected, and generates a list of unconnected export directions.

[0011] As a further aspect of the present invention, the export market field difference catalog includes field source region number, content expression format label, and field change source identification code; the tag binding path node mapping structure includes path structure identifier, field label insertion position, and node number positioning group; the cross-field overlapping path distribution table specifically includes field combination index number, overlapping path chain number set, and number cross-distribution matrix; the non-connected export direction mapping list includes export path anomaly marker, missing connection node record, and adaptation range broken chain information; the cross-regional carbon cost structure difference distribution map includes inter-regional field attribution layer, path evolution time grid, and carbon cost source comparison contour map.

[0012] As a further embodiment of the present invention, the carbon specification field collection and comparison module includes a field source identification submodule, a field content difference determination submodule, and a field number collection and mapping submodule;

[0013] The field source identification submodule obtains the carbon emission requirements field for the export market, extracts four types of field content: emission period, effective industry, emission boundary, and scope of application of regulation, groups and binds the source country, applicable object and policy text location corresponding to the field content, performs duplicate search on field name, records duplicate items with unique source identification, and generates a field source identification structure table.

[0014] The field content difference determination submodule calls the grouping field in the field source identifier structure table, extracts the field text content for items with different sources but the same field name, performs character-by-character comparison of the text content, filters field pairs with inconsistent text, divides the filtering results into difference type labels according to field type and content deviation direction, and generates field content difference type classification information.

[0015] The field number collection and mapping submodule extracts the corresponding field name and source tag information for each difference record based on the field content difference type classification information, sets a unique number for the field difference item, binds the field number to the field name, performs a linkage association operation between the field number and the export market, constructs a field number mapping set according to the export direction, and generates a list of field differences in the export market.

[0016] As a further aspect of the present invention, the step of classifying the filtering results into difference type tags according to field type and content deviation direction is specifically as follows:

[0017] If there are inconsistent text pairs in the field selection process, identify whether the format of the field content in the field pair is numeric, range, or text.

[0018] When the field content is in numeric format, the field value is extracted and a size comparison is performed. If the target export market's value requirement is more lenient than that of the source country, the difference type label for the content deviation direction is "relaxed numerical condition"; otherwise, it is "tightened numerical condition".

[0019] When the field content is in interval format, extract the interval endpoint values. If the interval of the target export market completely covers the interval between the source regions, the difference type label of the content deviation direction is range expansion. If the interval between the source regions completely covers the interval of the target export market, it is range reduction. If the two intervals partially overlap, it is range intersection.

[0020] When the field content is in text format, entity words are extracted from the field text to construct a keyword set. If the keyword set of the target export market includes the keyword set of the source region, the difference type label of the content deviation direction is text definition extension; otherwise, it is text definition contraction.

[0021] As a further aspect of the present invention, the migration path node construction module includes a node information extraction submodule, a number insertion and pairing submodule, and a path structure binding submodule;

[0022] The node information extraction submodule obtains the field numbers in the export market field difference catalog list, extracts the start and end node information in the path data table structure of the evaluation platform, performs one-to-one pairing processing on the start and end nodes according to the record order in the path table, forms a binding structure between the field numbers and the node order, and generates field node pairing structure data.

[0023] The number insertion pairing submodule calls the pairing records in the field node pairing structure data, inserts the field number into the node description column according to the content pointed to by the field, and sorts the same field number repeatedly in multiple path segments in ascending order according to the node sequence value to generate field number sorting structure information.

[0024] The path structure binding submodule extracts records with multiple numbered labels in the path segment based on the field number sorting structure information, sets path segment identification identifiers for these path segments, cross-binds the identifier code with the field number in the path description, establishes the connection relationship between the number mapping and the node structure, and generates a tag-bound path node mapping structure.

[0025] As a further embodiment of the present invention, the emission path difference location module includes a path segment filtering submodule, a number combination matching submodule, and a path chain marking submodule;

[0026] The path segment filtering submodule obtains the list of path segment numbers and field numbers in the tag-bound path node mapping structure, extracts path segments with more than two field numbers, performs parallel processing on the field numbers in each path segment according to their order of appearance, counts the unique labels of the field number combinations, filters out the set of path segments that meet the field number condition, and generates summary information of multi-numbered path segments.

[0027] The number combination matching submodule calls the field number combination in the summary information of the multi-number path segment, performs a comparison operation on each combination in different path segments according to its position, determines whether there is a completely consistent structural relationship between the field number combination and the path segment that satisfies the structural consistency, records the matching label value for the path segment and generates the field combination duplicate matching result.

[0028] The path chain marking submodule extracts the path chain number based on the path segment records marked as consistent in the repeated matching results of the field combination, sets the corresponding mark value for the path chain appearing in the set of repeated field number combinations, establishes a one-to-one binding structure between the path chain number and the mark value, and generates a cross-field overlapping path distribution table.

[0029] As a further embodiment of the present invention, the exit direction connectivity identification module includes a path chain calling submodule, a structural connectivity judgment submodule, and a jump mark mapping submodule;

[0030] The path chain calling submodule obtains the path chain number from the cross-field overlapping path distribution table, collects the exit direction, product type and adaptable path segment corresponding to the path chain number in the evaluation platform, compares the structure elements of the path segment structure and the adaptable path segment structure in the path chain in sequence, confirms that there are path segments with inconsistent structures in the path chain, and generates path connectivity comparison results.

[0031] The structural connectivity judgment submodule extracts the path segment numbers that are inconsistent based on the path connectivity comparison results, calls the number of path elements and connection forms in the structure corresponding to the path segment, compares the connectivity status of the path segment within the structural definition range, sets a jump mark for path segments whose status is not fully connected, and obtains jump path segment identification information.

[0032] The jump marker mapping submodule, based on the path segment number in the jump path segment identification information, calls all product types connected by the path segment in the evaluation platform, sets independent numbers for each product type, establishes a correspondence structure between the path segment number and the product number, and generates a non-connected exit direction mapping list.

[0033] As a further aspect of the present invention, the connectivity state of the comparison path segment within the structural definition range is specifically as follows:

[0034] The structure corresponding to the path segment is parsed into a directed graph with path elements as nodes and the connection form as directed edges. The directed graph defines a unique starting path element and a unique ending path element.

[0035] Starting from the initial path element, perform a depth-first traversal based on the directed edges to obtain a set of all path elements reachable from the initial path element;

[0036] Verify whether the termination path element exists in the set of all path elements reachable from the starting path element, and verify whether all path elements in the structure corresponding to the path segment are included in the set.

[0037] When the terminating path element does not exist in the set, or when all path elements in the structure corresponding to the path segment are not included in the set, the connectivity state of the path segment within the structure definition range is determined to be not fully connected.

[0038] As a further aspect of the present invention, the platform also includes:

[0039] The carbon cost structure distribution mapping module obtains path source time records and emission labels based on the non-connected exit direction mapping list, performs distribution statistics on the path in time and source dimensions, sorts out the structural difference manifestations, and generates a cross-regional carbon cost structure difference distribution map.

[0040] The cross-regional carbon cost structure difference distribution map includes inter-regional field attribution layers, path evolution time grids, and carbon cost source comparison contour maps.

[0041] As a further embodiment of the present invention, the carbon cost structure distribution mapping module includes a path field linkage submodule, a labeling frequency summary submodule, and a difference map generation submodule.

[0042] The path field linkage submodule obtains the path number from the non-connected exit direction mapping list, calls the exit time interval corresponding to the path number in the evaluation platform, adjusts the starting node information and carbon emission record label, performs source matching for the three types of fields according to the path number, sets a source group identifier for each path number, establishes the intra-group linkage relationship of the three types of fields, and generates path field linkage structure value.

[0043] The frequency summarization submodule extracts the export time interval and carbon emission record label corresponding to each path number under the source group identifier based on the path field linkage structure value. It accumulates the frequency of the labeling labels of the path numbers in the same source group in the export time interval, counts the number of times each path source is labeled in the time interval, and obtains the time label frequency statistics value.

[0044] The difference map generation submodule, based on the frequency statistics of the time tags, calls the adjustment start-up node information corresponding to each path number under the source group identifier, identifies the differences in the distribution of adjustment nodes under different regional policies for path numbers, performs a linkage comparison of the differences between the time dimension and the policy structure, and establishes a cross-regional carbon cost structure difference distribution map.

[0045] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0046] In this invention, carbon emission requirements in the export direction are grouped into source field numbers and embedded in path nodes as difference identifiers. Field overlap relationships within path segments are extracted to identify carbon rule intersections. The distribution characteristics of field combinations are transformed into the basis for path chain identification. Through the linkage between channel connectivity status and field mapping structure, the location of adjustment breakpoints in the export path is realized. The correspondence between path numbers and adjustment records, time ranges, and label sources clearly defines the sources of path differences, forming a three-way binding structure of region, time, and policy. The node combinations of carbon cost changes show a traceable path chain in the time series and export direction, improving the efficiency of tracing path-level carbon cost changes and constructing a structural expression method with cross-regional difference identification capabilities. Attached Figure Description

[0047] Figure 1 This is a flowchart of the platform system of the present invention;

[0048] Figure 2 This is a flowchart illustrating the acquisition process of the carbon specification field collection and comparison module of this invention.

[0049] Figure 3 This is a flowchart illustrating the acquisition process of the migration path node construction module of the present invention.

[0050] Figure 4 This is a flowchart illustrating the acquisition process of the emission path difference location module of the present invention.

[0051] Figure 5 This is a flowchart illustrating the acquisition process of the export direction connectivity identification module of the present invention.

[0052] Figure 6 This is a flowchart illustrating the acquisition process of the carbon cost structure distribution mapping module of the present invention. Detailed Implementation

[0053] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0054] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0055] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0056] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0057] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0058] Please see Figure 1This invention provides a technical solution: a multi-dimensional strategy assessment platform for cross-border carbon costs, the platform comprising:

[0059] The carbon regulation field collection and comparison module obtains the carbon emission requirement field for the export market, performs source identification processing on the emission period, effective industry, emission boundary, and scope of regulation in the field, groups the source identifiers and performs comparison operation according to the field name, determines whether there is any inconsistency in the text content between the source of the field value, performs number processing on the inconsistent fields and puts them into a unified mapping table, and generates a list of field differences in the export market.

[0060] The migration path node construction module extracts the start and end node information from the path data table structure in the evaluation platform based on the field numbers in the export market field difference catalog list. It performs pairing operations on the start and end nodes in sequence, inserts the difference numbers into the node description column according to the field pointers, performs node sorting operations on the path segments with repeated number sets, sets path segment identification codes for path segments with multiple number labels, and generates a tag-bound path node mapping structure.

[0061] The emission path difference location module filters out path segments with more than two field numbers from the marked and bound path node mapping structure, performs parallel summary processing on the numbers appearing in the path segment, performs matching operation on the repeated combinations of different field numbers between path segments, determines whether the number combination appears repeatedly between path segments, sets the mark value for path chains that meet the repeated combination condition, and generates a cross-field overlapping path distribution table.

[0062] The export direction connectivity identification module obtains the product type and matching path segment of the corresponding export direction in the platform data based on the path chain number in the cross-field overlapping path distribution table. It performs a matching operation on the path chain and the product matching path segment, sets a jump mark for path segments that do not have a connectable structure, performs separate number mapping processing on the product type connected by the jump segment path, and generates a non-connected export direction mapping list.

[0063] The carbon cost structure distribution mapping module obtains the export time interval, adjustment start point information and carbon emission record labels recorded in the assessment platform based on the path number in the non-connected export direction mapping list. It performs source linkage binding processing on the path number and the above fields, performs summary processing on the labeling frequency of different source paths in the recording time, sorts out the relationship between time difference and label source structure, and generates a cross-regional carbon cost structure difference distribution map.

[0064] The export market field difference catalog includes field source region number, content expression format label, and field change source identification code; the marker-bound path node mapping structure includes path structure identifier, field label insertion position, and node number positioning group; the cross-field overlapping path distribution table specifically includes field combination index number, overlapping path chain number set, and number cross-distribution matrix; the non-connected export direction mapping list includes export path anomaly markers, missing connection node records, and adaptation range chain break information; the cross-regional carbon cost structure difference distribution map includes inter-regional field attribution layer, path evolution time grid, and carbon cost source comparison contour map.

[0065] Please see Figure 2 The carbon specification field collection and comparison module includes a field source identification submodule, a field content difference determination submodule, and a field number collection and mapping submodule;

[0066] The field source identification submodule obtains the carbon emission requirements field for the export market, extracts four types of field content: emission period, effective industry, emission boundary, and scope of application of regulation, groups and binds the source country, applicable object and policy text location corresponding to the field content, performs duplicate search on field name, records duplicate items with unique source identification, and generates a field source identification structure table.

[0067] Obtain the carbon emission requirements field for export markets, specifically the publicly available draft texts of the carbon border adjustment regulations (Regulation A) for Market A and the carbon border adjustment regulations (Regulation B) for Market B. Locate the specific provisions regarding the reporting period in the publicly available draft text of Regulation A, and extract the text value of the "Emission Period" field as "from January 1st of the first compliance year." Group and bind this text value with the source market "Market A," the applicable products "six categories of products under CBAM regulation: steel, aluminum, cement, fertilizer, electricity, and hydrogen," and the "Timeframe Chapter" section of the policy text. Then, for the clause regarding the effective date in the draft Regulation B, extract the text value of the same field as "the same day of the following year after January 1st of the first compliance year," and perform the same binding of source, target, and location. In the section of Regulation A defining the scope of applicable products, extract the "Effective Industry" field, which contains "steel, aluminum..." The policy text for "Cement, Fertilizer, Electricity, and Hydrogen" was bound and marked as "Product Scope List". Similarly, in the clauses of Draft Regulation B that define its coverage, the corresponding content "Steel, Aluminum, Ceramics, and Glass" was extracted and bound. After extraction, a duplicate search for exact matching was performed on the bound field names in the platform database. The search results showed that the field names "Emission Period" and "Effective Industry" appeared twice. Each duplicate item was recorded with a unique source identifier. Specifically, the "Emission Period" from Market A was recorded as "REG-A-ET", the record from Market B was recorded as "REG-B-ET", the "Effective Industry" from Market A was recorded as "REG-A-AI", and the record from Market B was recorded as "REG-B-AI". All field binding information and unique source identifiers were integrated to generate a field source identifier structure table.

[0068] The Field Content Difference Determination Submodule calls the grouping field in the Field Source Identifier Structure Table, extracts the field text content for items with different sources but the same field name, performs character-by-character comparison of the text content, filters field pairs with inconsistent text, divides the filtering results into difference type labels according to field type and content deviation direction, and generates field content difference type classification information.

[0069] The grouping field in the field source identifier structure table is called, and the "Effective Industry" projects with different sources but the same field name are selected, specifically the two projects identified as "REG-A-AI" and "REG-B-AI". Their field text content is extracted, which are "Steel, Aluminum, Cement, Fertilizer, Electricity, Hydrogen" and "Steel, Aluminum, Ceramics, Glass" respectively. A character-by-character forward sequence comparison is performed on these two text strings, starting from the first character "steel" and moving the comparison pointer forward until the pointer reaches the seventh character position. At this point, it is found that the character in "REG-A-AI" is "chemical" while the character in "REG-B-AI" is "ceramics". This indicates a text inconsistency between the two fields, and the pair of characters is then... The selected segments are tagged according to a preset difference classification rule. This rule is based on statistical analysis of the differences in 100 historical policy texts. When the text difference is manifested as the addition or subtraction of set elements, it is classified as "inconsistent scope". When the difference is manifested as the difference in numerical values ​​or dates, it is classified as "inconsistent parameters". Here, "fertilizer, electricity, hydrogen" and "ceramics, glass" are differences in set elements, so the difference type tag is classified as "inconsistent industry scope". For the field "emission period", its text difference is the different start year of compliance, so its difference type tag is "inconsistent policy effective time". All judgment results and their tags are summarized to generate field content difference type classification information.

[0070] The field number collection and mapping submodule extracts the corresponding field name and source tag information for each difference record based on the classification information of field content difference type, sets a unique number for the field difference item, binds the field number to the field name, performs linkage and association operation between the field number and the export market, constructs a field number mapping set according to the export direction, and generates a list of field differences in the export market.

[0071] Based on the classification information of field content differences, the first difference record is extracted, with the corresponding field name being "Effective Industry" and the source tags being "REG-A-AI" and "REG-B-AI". A unique number "D001" is assigned to this field difference item, and this number is bidirectionally bound to the field name "Effective Industry" and linked to the relevant export markets. Specifically, the association key "D001" is added to the "Market A" object attribute in the platform database, and the same association key is added to the "Market B" object attribute. Differences in the "Emission Boundary" field (e.g., Regulation A requires the inclusion of both direct and indirect emissions, Regulation B...) are also considered. For direct emissions only, a unique number "D002" is set, and the same binding and association operations are performed. The difference in the "Emission Period" field is set with the number "D003" and the processing is completed. After all difference records are numbered and associated, a mapping set of field numbers is constructed according to the export direction. For example, the set constructed for export to market A is {MKT-A:[D001,D002,D003]}, and the set constructed for export to market B is {MKT-B:[D001,D002,D003]}. All mapping sets for export directions are integrated to generate an export market field difference catalog.

[0072] Please see Figure 3 The migration path node construction module includes a node information extraction submodule, a number insertion and pairing submodule, and a path structure binding submodule;

[0073] The node information extraction submodule obtains the field numbers from the export market field difference catalog list, extracts the start and end node information from the evaluation platform path data table structure, performs one-to-one pairing processing on the start and end nodes according to the record order in the path table, forms a binding structure between the field numbers and the node order, and generates field node pairing structure data.

[0074] Obtain the set of field numbers [D001, D002, D003] for market A from the export market field difference catalog list, and extract the start and end node information from the "General Manufacturing of Regulated Products" path data table built into the evaluation platform. The structure of this path data table is shown in Table 1.

[0075] Table 1: Data Table of Common Manufacturing Paths for Regulated Products

[0076]

[0077] As shown in Table 1, the start and end nodes in the table are paired one-to-one according to the path segment ID, forming a pairing sequence [(N101, N102), (N102, N103), (N103, N104), (N104, N105), (N105, N106)]. The field numbers are then bound to the node order. This binding operation is based on a preset rule knowledge base, which defines the correlation between various policy fields and production processes. For example, the rule base defines the relationship between "Effective Industry" (D001) and... All manufacturing stages, namely N101 to N104, are linked. The "emission boundary" (D002) is associated with N102 (primary production, involving indirect emissions from electricity) and N103 (intermediate product processing, involving direct emissions from the process). The "emission period" (D003) is associated with N105 (final export behavior). Accordingly, D001 is bound to the path segment PS-101 to PS-104, D002 is bound to PS-102 and PS-103, and D003 is bound to PS-105, generating field node pairing structure data.

[0078] The number insertion pairing submodule calls the paired records in the field node pairing structure data, inserts the field number into the node description column according to the content pointed to by the field, and sorts the same field number repeatedly in multiple path segments in ascending order according to the node sequence value to generate field number sorting structure information.

[0079] The system retrieves paired records from the field node pairing structure data and inserts the field numbers into the description columns of the corresponding nodes according to their pointed-to content. For path segment PS-101, its bound field number is D001, so the label "D001" is inserted into its node description column. For path segment PS-102, its bound field numbers are both D001 and D002, so the labels "D001,D002" are inserted into its node description column. The same applies to path segment PS-103, where "D001,D002" is inserted. For PS-104, "D001" is inserted. For PS-105, insert "D003". For the same field number that appears repeatedly in multiple path segments, sort it in ascending order according to the node sequence value. Taking D001 as an example, it appears in PS-101, PS-102, PS-103, PS-104, and its node sequence value is 1, 2, 3, 4. The sorted appearance order is (PS-101, PS-102, PS-103, PS-104). This sorting result is recorded. After all the number insertion and sorting operations are completed, the field number sorting structure information is generated.

[0080] The path structure binding submodule extracts records with multiple numbered labels in the path segment based on the field number sorting structure information, sets path segment identification identifiers for these path segments, and cross-binds the identifier code with the field number in the path description to establish the connection relationship between the number mapping and the node structure, generating a tag-bound path node mapping structure.

[0081] Based on the field numbering and sorting structure information, records with multiple numbered labels within a path segment are extracted. Specifically, this involves iterating through the node description columns of all path segments and counting the number of labels. Path segment PS-102's description column contains "D001, D002", with two labels. Similarly, path segment PS-103's description column also contains "D001, D002", with two labels. A path segment identification benchmark of 1 is set. This benchmark is based on the analysis of 200 historical trade compliance review cases, which revealed that 95% of carbon cost accounting deviations occur related to two or more policy differences. In the production process, the baseline value can be set to 1, meaning that all path segments with a number greater than 1 are identified. Based on this, PS-102 and PS-103 are identified as multi-numbered path segments. These two path segments are assigned their own IDs (i.e., PS-102, PS-103) as path segment identification identifiers. These identifiers are then cross-bound with the field number list to establish mapping relationships "PS-102<->[D001,D002]" and "PS-103<->[D001,D002]". This operation establishes the connection relationship between the number mapping and the node structure, generating a tag-bound path node mapping structure.

[0082] Please see Figure 4 The emission path difference location module includes a path segment filtering submodule, a number combination matching submodule, and a path chain marking submodule;

[0083] The path segment filtering submodule obtains the list of path segment numbers and field numbers in the mapping structure of the marked and bound path nodes, extracts path segments with more than two field numbers, performs parallel processing on the field numbers in each path segment in the order of appearance, counts the unique labels of the field number combinations, filters out the set of path segments that meet the field number condition, and generates summary information of multi-numbered path segments.

[0084] Obtain the list of path segment numbers and field numbers from the tag-bound path node mapping structure, namely PS-102:[D001,D002] and PS-103:[D001,D002]. Set a field quantity filtering threshold of 2. This threshold was determined through testing on 50 historical strategy evaluation samples. The test compared the F1 score (harmonic mean of precision and recall) for locating core risk paths when the threshold was set to 1, 2, and 3 respectively. When the threshold was 1, the F1 score was 0.68; when the threshold was 3, the F1 score was 0.75; and when the threshold was 2, the F1 score reached 0.9. 2. Therefore, 2 is selected as the filtering threshold to extract path segments with a field number greater than or equal to 2. PS-102 and PS-103 both have a number of 2, which meets the condition, so they are filtered out. The field numbers in each path segment are processed in parallel according to their order of appearance, resulting in the number combination of PS-102 as (D001, D002) and the number combination of PS-103 as (D001, D002). Unique label statistics are performed on these two combinations, and it is found that their combination structures are completely identical. The set of path segments {PS-102, PS-103} that meet the condition is summarized to generate summary information of multi-numbered path segments.

[0085] The number combination matching submodule calls the field number combination in the summary information of multi-number path segments, performs a comparison operation on each combination in different path segments according to its position, determines whether there is a completely consistent structural relationship between the field number combinations in the path segments, records the matching label value for the path segments that meet the structural consistency, and generates the field combination duplicate matching result.

[0086] The system retrieves the field combination "(D001, D002)" and its corresponding path segment set {PS-102, PS-103} from the multi-numbered path segment summary information. It then performs a sequential comparison operation on this combination across different path segments. Specifically, it takes the first element D001 of the PS-102 combination and compares it with the first element D001 of the PS-103 combination; they match. Next, it takes the second element D002 of the PS-102 combination and compares it with the second element D002 of the PS-103 combination; they also match. Since all elements within the combination are in their corresponding positions... If all are identical, it is determined that the field number combination has a completely consistent structural relationship in path segments PS-102 and PS-103. For path segment records PS-102 and PS-103 that satisfy this structural consistency, both are assigned the same matching label value "M-001", where M represents matching and 001 is the sequence number of the matching combination. If another set of path segments {PS-205, PS-206} is found to also have the combination (D001, D004) in subsequent analysis, a new label value "M-002" is assigned to it. The matching results of all path segments are recorded to generate the field combination duplicate matching results.

[0087] The path chain marking submodule extracts the path chain number based on the path segment records marked as consistent in the repeated matching results of field combinations, sets the corresponding mark value for the path chain that appears in the set of repeated field number combinations, establishes a one-to-one binding structure between the path chain number and the mark value, and generates a cross-field overlapping path distribution table.

[0088] Based on the path segment records marked as consistent in the field combination duplicate matching results, extract the path segment set {PS-102, PS-103} with the same matching tag value "M-001". Query the path data table as shown in Table 1 to confirm that the end node N103 of path segment PS-102 and the start node N103 of path segment PS-103 are the same node. It is determined that these two path segments are continuous in the business process, thus forming a path chain. This path chain is assigned the number "PL-101". This path chain is set with a corresponding tag value "C-D001-D002", where "C" represents overlap and "D001-D002" indicates that this path chain is the concentrated influence segment of field differences D001 and D002. A one-to-one binding structure is established between the path chain number PL-101 and the tag value "C-D001-D002", that is, "PL-101<->C-D001-D002". All identified path chains of this type and their tag values ​​are recorded to generate a cross-field overlapping path distribution table.

[0089] Please see Figure 5 The export direction connectivity identification module includes a path chain calling submodule, a structural connectivity judgment submodule, and a jump mark mapping submodule.

[0090] The path chain calling submodule obtains the path chain number from the cross-field overlapping path distribution table, collects the exit direction, product type and adaptable path segment corresponding to the path chain number in the evaluation platform, compares the structure elements of the path segment structure and the adaptable path segment structure in the path chain in sequence, confirms that there are path segments with inconsistent structures in the path chain, and generates path connectivity comparison results.

[0091] Obtain the path chain number PL-101 from the cross-field overlapping path distribution table, and collect the export direction, product type, and suitable path segment information corresponding to the production activities (primary production, intermediate processing) covered by this path chain from the product database of the evaluation platform. The platform records two product types: Product C (standard process product) and Product D (special process product), both with the export direction to market A. The suitable path segment for Product C is the standard process (PS-101, PS-102, PS-103, PS-104, PS-105). Due to special process requirements, Product D's suitable path segment structure is (PS-101, PS-102, PS-103A, P). S-104, PS-105), where PS-103A represents a special processing path segment containing additional processing steps. The path chain PL-101 to be analyzed (its structure is PS-102, PS-103) is compared with the corresponding part (PS-102, PS-103A) in the adapted path segment structure of product D. The comparison operation is to compare the path segment IDs one by one. It was found that "PS-103" and "PS-103A" do not match, confirming that there is a path segment in the path chain PL-101 that is inconsistent with the process requirements of product D, while the comparison with product C is completely consistent. These comparison results are recorded to generate path connectivity comparison results.

[0092] The structural connectivity judgment submodule extracts the path segment numbers that are inconsistent based on the path connectivity comparison results, calls the number of path elements and connection form in the structure corresponding to the path segment, compares the connectivity state of the path segment within the structure definition range, sets a jump mark for path segments whose state is not fully connected, and obtains jump path segment identification information.

[0093] Based on the path connectivity comparison results, path segment number PS-103, which is inconsistent with product D, was extracted. The structure of this path segment in the product D process route definition was retrieved. It was found that PS-103A contains multiple path elements (e.g., input processing, core conversion, process monitoring, product purification, final inspection), connected in a strictly sequential series. In contrast, the standard path segment PS-103 only contains some core elements (e.g., input processing, core conversion, final inspection), also connected in series. Comparing the connectivity status of the two path segments in the platform's preset process module library, PS-103 lacks the crucial elements "process monitoring" and "product purification" required by product D. This prevents node N103 from connecting to node N104 according to product D's process requirements, and its status is determined to be "not fully connected." Therefore, a jump marker "J-001" is set for path segment PS-103, and all marked path segments and their corresponding product information are recorded to obtain the jump path segment identification information.

[0094] The jump marker mapping submodule, based on the path segment number in the jump path segment identification information, calls all product types connected by the path segment in the evaluation platform, sets an independent number for each product type, establishes a correspondence structure between the path segment number and the product number, and generates a non-connected exit direction mapping list.

[0095] Based on the path segment number PS-103 in the path segment identification information, the evaluation platform database is used to retrieve all product types associated with this path segment (intermediate product processing). The query results are product C (standard process product) and product D (special process product). Since PS-103 is marked as a jump for product D, this disconnection needs to be accurately mapped to product D. An independent number "P-C01" is assigned to product C, and an independent number "P-D02" is assigned to product D. A corresponding structure is established between the path segment number PS-103 and the product number P-D02, i.e., "PS-103->P-D02". This structure indicates that the PS-103 path segment is disconnected or incompatible with the production process of product P-D02. All such disconnected "path-product" mapping relationships are summarized to generate a list of disconnected exit direction mappings.

[0096] Please see Figure 6 The carbon cost structure distribution mapping module includes a path field linkage submodule, a labeling frequency summary submodule, and a difference map generation submodule.

[0097] The path field linkage submodule obtains the path number from the list of non-connected exit directions, calls the exit time interval corresponding to the path number in the evaluation platform, adjusts the starting node information and carbon emission record label, performs source matching for the three types of fields according to the path number, sets a source group identifier for each path number, establishes the intra-group linkage relationship of the three types of fields, and generates path field linkage structure value.

[0098] Retrieve path number PS-103 and its associated product number P-D02 from the list of disconnected export directions. Then, retrieve the export time interval, adjustment start point information, and carbon emission record label corresponding to path number PS-103 from the assessment platform database. For example, in the second quarter of the first compliance year, the records related to PS-103 are: {Export Time Interval: "Second Quarter", Adjustment Start Point: "Regulation A - Purchased Electricity Consumption", Carbon Emission Record Label: "Scope2 - Purchased Electricity"} and {Export Time Interval: "Second Quarter", Adjustment Start Point: "Regulation B - Fuel Combustion"}. The carbon emission record label is “Scope1-Process Emissions”. The three types of fields in these two records are matched according to their policy sources. Fields from Regulation A are grouped into one group, and fields from Regulation B are grouped into another group. Source group identifiers are set for path number PS-103, namely “PS-103-A” and “PS-103-B”. Under each source group identifier, the intra-group linkage relationship of the three types of fields is established. That is, in the “PS-103-A” group, “Second Quarter” is linked with “Regulation A-Purchased Electricity Consumption” and “Scope2-Purchased Electricity” labels to generate path field linkage structure values.

[0099] The frequency summary submodule extracts the export time interval and carbon emission record label corresponding to each path number under the source group identifier based on the path field linkage structure value. It accumulates the frequency of the labeling labels of the path number in the export time interval within the same source group, counts the number of times each path source is labeled in the time interval, and obtains the time label frequency statistics value.

[0100] Based on the linked structure value of the path field, the carbon emission record label "Scope2-Purchased Electricity" under the source group identifier "PS-103-A" in the "Second Quarter" is extracted. At the same time, the label "Scope1-Process Emissions" under "PS-103-B" in the same time interval is extracted. The frequency of the labels of the path numbers related to the non-connected product P-D02 within the same source group in the specified export time interval is accumulated. In the "Second Quarter", the label "Scope2-Purchased Electricity" appears once under source A, and "Scope1-Process Emissions" appears once under source B. The statistics are continued for the four quarters of the entire compliance year. Assuming the statistical results are: the source A path is labeled with the "Scope2" label 4 times and the "Scope1" label 0 times throughout the year; the source B path is labeled with the "Scope1" label 4 times and the "Scope2" label 0 times throughout the year, this result reflects the recording difference caused by the difference in emission boundaries (D002) of different regulations for the same production link (intermediate product processing). These statistical results are sorted to obtain the time label frequency statistics.

[0101] The difference map generation submodule, based on the frequency statistics of time tags, calls the adjustment start point information corresponding to each path number under the source group identifier, identifies the differences in the distribution of adjustment nodes of path numbers under different regional policies, performs a linkage comparison between the differences in time dimension and policy structure, and establishes a cross-regional carbon cost structure difference distribution map.

[0102] Based on the frequency statistics of time tags, source path A was labeled "Scope2" once in each of the four quarters, totaling four times, while source path B was labeled "Scope1" once in each of the four quarters, totaling four times. By retrieving the adjustment threshold information under "Regulations A - Purchased Electricity Consumption" for source group identifier "PS-103-A" and "Regulations B - Fuel Combustion" for "PS-103-B", the differences in the distribution of adjustment nodes for path number PS-103 under different regional policies were identified. Specifically, Regulations A focuses on purchased electricity consumption during the production process (related to indirect emissions), while Regulations B focuses on fuel consumption during intermediate product processing. The direct emissions from combustion are compared in conjunction with the differences in time dimension and policy structure. This comparison is carried out in a two-dimensional coordinate system, with the horizontal axis representing time (four quarters) and the vertical axis representing production process nodes. The four frequencies of the “Scope2” label under Regulation A policy are marked as heat values ​​in the intersection area of ​​the “intermediate product processing” node on the vertical axis and the four quarters on the horizontal axis. This heat area is then associated with the cost driver factor of “purchased electricity consumption”. At the same time, the four frequencies of “Scope1” under Regulation B policy are marked in the same position but associated with the factor of “fuel combustion”. The differences are distinguished by color or legend, thus establishing a cross-regional carbon cost structure difference distribution map.

[0103] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A multi-dimensional strategy assessment platform for cross-border carbon costs, characterized in that, The platform includes: The carbon regulation field collection and comparison module obtains carbon regulation fields for export direction from the platform, classifies them by emission period, industry category, and regulation coverage field, performs consistency verification on different sources of the same field, sets source label numbers for fields with inconsistencies, and generates a catalog of field differences in export markets. The migration path node construction module extracts path node data based on the field numbers in the export market field difference catalog list, embeds the field numbers into the node records, establishes an identifier structure for path segments with multiple numbers according to the node sequence, and generates a tag-bound path node mapping structure. The emission path difference location module identifies dense segments of field numbers from the marked and bound path node mapping structure, extracts number groups within the path segments, performs a number combination overlap judgment, sets a mark value for paths with intersecting fields, and generates a cross-field overlapping path distribution table. The export direction connectivity identification module extracts the path number based on the cross-field overlapping path distribution table, obtains the export direction and product classification, determines the path and export compatibility relationship, sets a mark for path segments that cannot be connected, and generates a list of unconnected export directions. The exit direction connectivity identification module includes a path chain calling submodule, a structural connectivity judgment submodule, and a jump mark mapping submodule. The path chain calling submodule obtains the path chain number from the cross-field overlapping path distribution table, collects the exit direction, product type and adaptable path segment corresponding to the path chain number in the evaluation platform, compares the structure elements of the path segment structure and the adaptable path segment structure in the path chain in sequence, confirms that there are path segments with inconsistent structures in the path chain, and generates path connectivity comparison results. The structural connectivity judgment submodule extracts the path segment numbers that are inconsistent based on the path connectivity comparison results, calls the number of path elements and connection forms in the structure corresponding to the path segment, compares the connectivity status of the path segment within the structural definition range, sets a jump mark for path segments whose status is not fully connected, and obtains jump path segment identification information. The jump marker mapping submodule, based on the path segment number in the jump path segment identification information, calls all product types connected by the path segment in the evaluation platform, sets independent numbers for each product type, establishes a correspondence structure between the path segment number and the product number, and generates a non-connected exit direction mapping list.

2. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 1, characterized in that: The export market field difference catalog includes field source region number, content expression format label, and field change source identification code; the tag binding path node mapping structure includes path structure identifier, field label insertion position, and node number positioning group; the cross-field overlapping path distribution table specifically includes field combination index number, overlapping path chain number set, and number cross-distribution matrix; the non-connected export direction mapping list includes export path abnormal marker, missing connection node record, and adaptation range broken chain information.

3. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 1, characterized in that, The carbon specification field collection and comparison module includes a field source identification submodule, a field content difference determination submodule, and a field number collection and mapping submodule. The field source identification submodule obtains the carbon emission requirements field for the export market, extracts four types of field content: emission period, effective industry, emission boundary, and scope of application of regulation, groups and binds the source country, applicable object and policy text location corresponding to the field content, performs duplicate search on field name, records duplicate items with unique source identification, and generates a field source identification structure table. The field content difference determination submodule calls the grouping field in the field source identifier structure table, extracts the field text content for items with different sources but the same field name, performs character-by-character comparison of the text content, filters field pairs with inconsistent text, divides the filtering results into difference type labels according to field type and content deviation direction, and generates field content difference type classification information. The field number collection and mapping submodule extracts the corresponding field name and source tag information for each difference record based on the field content difference type classification information, sets a unique number for the field difference item, binds the field number to the field name, performs a linkage association operation between the field number and the export market, constructs a field number mapping set according to the export direction, and generates a list of field differences in the export market.

4. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 3, characterized in that, The method of categorizing the filtering results into difference type tags based on field type and content deviation direction is as follows: If there are inconsistent text pairs in the field selection process, identify whether the format of the field content in the field pair is numeric, range, or text. When the field content is in numeric format, the field value is extracted and a size comparison is performed. If the target export market's value requirement is more lenient than that of the source country, the difference type label for the content deviation direction is "relaxed numerical condition"; otherwise, it is "tightened numerical condition". When the field content is in interval format, extract the interval endpoint values. If the interval of the target export market completely covers the interval between the source regions, the difference type label of the content deviation direction is range expansion. If the interval between the source regions completely covers the interval of the target export market, it is range reduction. If the two intervals partially overlap, it is range intersection. When the field content is in text format, entity words are extracted from the field text to construct a keyword set. If the keyword set of the target export market includes the keyword set of the source region, the difference type label of the content deviation direction is text definition extension; otherwise, it is text definition contraction.

5. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 1, characterized in that, The migration path node construction module includes a node information extraction submodule, a number insertion and pairing submodule, and a path structure binding submodule. The node information extraction submodule obtains the field numbers in the export market field difference catalog list, extracts the start and end node information in the path data table structure of the evaluation platform, performs one-to-one pairing processing on the start and end nodes according to the record order in the path table, forms a binding structure between the field numbers and the node order, and generates field node pairing structure data. The number insertion pairing submodule calls the pairing records in the field node pairing structure data, inserts the field number into the node description column according to the content pointed to by the field, and sorts the same field number repeatedly in multiple path segments in ascending order according to the node sequence value to generate field number sorting structure information. The path structure binding submodule extracts records with multiple numbered labels in the path segment based on the field number sorting structure information, sets path segment identification identifiers for these path segments, cross-binds the identifier code with the field number in the path description, establishes the connection relationship between the number mapping and the node structure, and generates a tag-bound path node mapping structure.

6. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 1, characterized in that, The emission path difference location module includes a path segment filtering submodule, a number combination matching submodule, and a path chain marking submodule; The path segment filtering submodule obtains the list of path segment numbers and field numbers in the tag-bound path node mapping structure, extracts path segments with more than two field numbers, performs parallel processing on the field numbers in each path segment according to their order of appearance, counts the unique labels of the field number combinations, filters out the set of path segments that meet the field number condition, and generates summary information of multi-numbered path segments. The number combination matching submodule calls the field number combination in the summary information of the multi-number path segment, performs a comparison operation on each combination in different path segments according to its position, determines whether there is a completely consistent structural relationship between the field number combination and the path segment that satisfies the structural consistency, records the matching label value for the path segment and generates the field combination duplicate matching result. The path chain marking submodule extracts the path chain number based on the path segment records marked as consistent in the repeated matching results of the field combination, sets the corresponding mark value for the path chain appearing in the set of repeated field number combinations, establishes a one-to-one binding structure between the path chain number and the mark value, and generates a cross-field overlapping path distribution table.

7. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 1, characterized in that, The connectivity state of the comparison path segment within the structural definition range is specifically as follows: The structure corresponding to the path segment is parsed into a directed graph with path elements as nodes and the connection form as directed edges. The directed graph defines a unique starting path element and a unique ending path element. Starting from the initial path element, perform a depth-first traversal based on the directed edges to obtain a set of all path elements reachable from the initial path element; Verify whether the termination path element exists in the set of all path elements reachable from the starting path element, and verify whether all path elements in the structure corresponding to the path segment are included in the set. When the terminating path element does not exist in the set, or when all path elements in the structure corresponding to the path segment are not included in the set, the connectivity state of the path segment within the structure definition range is determined to be not fully connected.

8. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 1, characterized in that, The platform also includes: The carbon cost structure distribution mapping module obtains path source time records and emission labels based on the non-connected exit direction mapping list, performs distribution statistics on the path in time and source dimensions, sorts out the structural difference manifestations, and generates a cross-regional carbon cost structure difference distribution map. The cross-regional carbon cost structure difference distribution map includes inter-regional field attribution layers, path evolution time grids, and carbon cost source comparison contour maps.

9. The cross-border carbon cost multi-dimensional strategy assessment platform according to claim 8, characterized in that, The carbon cost structure distribution mapping module includes a path field linkage submodule, a labeling frequency summary submodule, and a difference map generation submodule. The path field linkage submodule obtains the path number from the non-connected exit direction mapping list, calls the exit time interval corresponding to the path number in the evaluation platform, adjusts the starting node information and carbon emission record label, performs source matching for the three types of fields according to the path number, sets a source group identifier for each path number, establishes the intra-group linkage relationship of the three types of fields, and generates path field linkage structure value. The frequency summarization submodule extracts the export time interval and carbon emission record label corresponding to each path number under the source group identifier based on the path field linkage structure value. It accumulates the frequency of the labeling labels of the path numbers in the same source group in the export time interval, counts the number of times each path source is labeled in the time interval, and obtains the time label frequency statistics value. The difference map generation submodule, based on the frequency statistics of the time tags, calls the adjustment start-up node information corresponding to each path number under the source group identifier, identifies the differences in the distribution of adjustment nodes under different regional policies for path numbers, performs a linkage comparison of the differences between the time dimension and the policy structure, and establishes a cross-regional carbon cost structure difference distribution map.

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