Garden engineering green construction carbon footprint quantitative management system based on mapping knowledge domain

Abstract

The invention discloses a garden engineering green construction carbon footprint quantitative management system based on a knowledge graph, and belongs to the technical field of carbon footprint quantitative management. The invention discloses a garden engineering green construction carbon footprint quantitative management system based on a knowledge graph. The system comprises a multi-source heterogeneous data acquisition module, a knowledge graph construction module, a carbon footprint quantitative calculation module, a visual display module and a dynamic update early warning module which are connected in sequence. According to the method, the problem that full-dimensional carbon footprint quantification of garden engineering cannot be completed due to the fact that carbon sink accounting is not considered in the prior art is solved. According to the method, automatic reasoning calculation of carbon emission data is realized, reasoning accuracy and comprehensiveness are improved, complete quantification of full-life-cycle carbon footprints is realized, the carbon emission condition of garden engineering is reflected more comprehensively, a basis is provided for full-process emission reduction optimization, and the method is suitable for popularization and application. Full-process automation of high-carbon hot spot identification, early warning and alternative scheme matching is realized, and the accuracy and timeliness of carbon footprint quantitative calculation are ensured.

Description

Technical Field

[0001] This invention relates to the field of carbon footprint quantification management technology, specifically a knowledge graph-based carbon footprint quantification management system for green construction in landscape engineering. Background Technology

[0002] As a core component of urban ecological construction, the quantitative management of carbon footprint during the green construction process of landscape engineering has become a focus of industry attention.

[0003] Chinese patent CN115757836B discloses a product carbon footprint analysis system based on knowledge graphs. By performing time-period analysis on emission data, the system compares the emission data of a single time period with preset parameters to generate warning or normal signals. Warning signals are applied to the time period data of the specified area of ​​the warning signal, while no marking is applied to the time period data of the normal signal. This emission data analysis and processing method can quickly find abnormal time period parameters in abnormal areas. At the same time, multiple sets of data can be analyzed sequentially to improve the accuracy of data analysis and facilitate external personnel to find the corresponding emission anomalies in a timely manner.

[0004] The aforementioned patents only locate emission anomalies by differentiating stage and regional data during use, without considering carbon sink accounting at all. This makes it impossible to quantify the carbon footprint of landscape engineering in all dimensions, and therefore does not meet the existing needs. In response, we have proposed a knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering. Summary of the Invention

[0005] The purpose of this invention is to provide a knowledge graph-based carbon footprint quantification management system for green construction in landscape engineering. This system enables automated reasoning and calculation of carbon emission data, improving the accuracy and comprehensiveness of reasoning. It achieves complete quantification of the carbon footprint throughout the entire life cycle, providing a more comprehensive reflection of the carbon emission status of landscape engineering and offering a basis for optimizing emission reduction throughout the entire process. It automatically identifies high-carbon hotspots and triggers early warnings, achieving full automation of high-carbon hotspot identification, early warning, and alternative solution matching. By linking supplier information and the latest industry data through a knowledge graph, it achieves dynamic updates of the coefficient library, ensuring the accuracy and timeliness of carbon footprint quantification calculations. This solves the problem of large deviations in quantification results due to mismatched carbon emission coefficients in existing technologies, thus addressing the issues raised in the background section.

[0006] To achieve the above objectives, this invention provides the following technical solution: a knowledge graph-based carbon footprint quantification management system for green construction in landscape engineering, comprising a multi-source heterogeneous data acquisition module, a knowledge graph construction module, a carbon footprint quantification calculation module, a visualization module, and a dynamic update and early warning module connected in sequence. These modules work together to achieve full-process quantitative management of the carbon footprint of green construction in landscape engineering. Specific functions are as follows:

[0007] The multi-source heterogeneous data acquisition module is used to collect multi-source heterogeneous data during the construction process of landscape engineering, and at the same time realize the fusion of multi-source heterogeneous data;

[0008] The knowledge graph construction module is used to build a carbon footprint knowledge graph. Based on the entity relationships in the carbon footprint knowledge graph and the preset carbon emission calculation rules, it enables the reasoning and calculation of carbon emission data.

[0009] The carbon footprint quantification calculation module is used to calculate carbon footprint data based on the carbon footprint knowledge graph and reasoning calculation results, combined with the carbon footprint quantification model of landscape engineering.

[0010] The visualization module is used to map carbon footprint data to a 3D BIM model, enabling the visualization of carbon footprint data.

[0011] The dynamic update early warning module is used to collect real-time construction data, dynamically update entity attributes and relationships based on the real-time construction data, and monitor the quantitative results in real time.

[0012] Preferably, the multi-source heterogeneous data acquisition module's acquisition and processing of multi-source heterogeneous data specifically includes:

[0013] Collect multi-source heterogeneous data during the construction process of landscape engineering. The multi-source heterogeneous data includes unstructured data and structured data.

[0014] Natural language processing and BIM semantic parsing techniques are used to extract entities and relationships from unstructured data;

[0015] Structured data is processed using standardized interface import and format conversion techniques. Then, through data cleaning, deduplication, and standardization, multi-source heterogeneous data is fused, and the fused full data is output.

[0016] Preferably, the process of constructing the carbon footprint knowledge graph by the knowledge graph construction module specifically includes:

[0017] Based on entity information in the fused data, define entity types and entity attributes, and establish an entity layer;

[0018] Based on the relationship information in the fused data and combined with the characteristics of landscape engineering construction, we define the types of relationships between entities and establish a relationship layer;

[0019] Based on carbon emission-related data, supplement the carbon emission attributes of each entity and establish an attribute layer;

[0020] A carbon footprint knowledge graph constructed using a graph database is used to achieve efficient storage and retrieval of entity, relation, and attribute data;

[0021] A pre-defined rule base for carbon emission calculation is established, clearly defining the corresponding logic between entity associations and carbon emission calculations;

[0022] Extract entity attributes and relationship data from the carbon footprint knowledge graph, and combine them with preset carbon emission calculation rules to complete the automated reasoning and calculation of basic carbon emission data;

[0023] Once high-carbon hotspots are identified, their core attribute information is extracted based on the entity association network in the carbon footprint knowledge graph.

[0024] Search the carbon footprint knowledge graph for low-carbon materials or energy-saving machinery with matching attributes to achieve precise matching of low-carbon alternatives.

[0025] Preferably, the step of searching for low-carbon materials or energy-saving machinery with matching attributes in the carbon footprint knowledge graph to achieve accurate matching of low-carbon alternatives specifically includes:

[0026] Once a high-carbon hotspot is identified, its key attributes are extracted. Based on these extracted attributes, similarity matching is performed in the low-carbon material library or energy-saving machinery library of the carbon footprint knowledge graph to select candidate alternatives.

[0027] Carbon emission calculations and cost assessments are conducted on candidate alternatives. Candidate alternatives whose carbon emissions exceed the original high-carbon hotspots or whose costs exceed the budget threshold are eliminated, and the optimal low-carbon alternative is finally determined.

[0028] Preferably, the visualization module realizes the process of associating and mapping carbon footprint data with the 3D BIM model, specifically including:

[0029] The carbon emission data of each entity output by the carbon footprint quantification calculation module are bound to the corresponding components, seedlings, and mechanical model components in the BIM model through the unique identifier of the entity, thus establishing a one-to-one correspondence between carbon footprint data and BIM model components.

[0030] By integrating GIS geospatial data with BIM models, the geospatial distribution of the project construction site can be displayed on a GIS map, and a carbon footprint data layer can be overlaid to present the carbon emission distribution in different areas.

[0031] The system displays key indicators such as total carbon emissions, carbon intensity, and emission reduction progress in real time, and presents the carbon footprint distribution using a combination of charts and 3D models.

[0032] Preferably, the dynamic update process of the dynamic update early warning module specifically includes:

[0033] Set a data update cycle and collect real-time construction data according to the set update cycle;

[0034] By comparing real-time construction data with existing entity attributes and relationship data in the carbon footprint knowledge graph, changes in the data are identified, and the changed entity attributes and relationships are updated.

[0035] Based on the updated carbon footprint knowledge graph data, the carbon footprint quantification calculation module is triggered to recalculate carbon emission data, update the project's total carbon emissions, carbon emission intensity and emission reduction progress indicators, and simultaneously update the visualized carbon footprint curve.

[0036] Set carbon emission thresholds and monitor the quantification results in real time. When carbon emissions exceed the set thresholds, trigger an early warning signal.

[0037] Preferably, the process of setting a carbon emission threshold, monitoring the quantification results in real time, and triggering an early warning signal when carbon emissions exceed the set threshold specifically includes:

[0038] By combining industry standards for landscaping engineering, historical data from similar projects, and project emission reduction targets, differentiated carbon emission thresholds are set according to material type and machinery model to form a threshold standard library;

[0039] Establish a real-time data transmission channel with the carbon footprint quantification calculation module to continuously acquire dynamic carbon emission quantification results for various materials and machinery;

[0040] The real-time carbon emission quantification results are compared one by one with the corresponding preset thresholds in the threshold standard library. If the carbon emission data of a certain material or machinery exceeds its corresponding threshold, it is determined to be a high carbon hotspot.

[0041] Once the high-carbon hotspots are identified, an early warning mechanism is immediately activated to generate an early warning signal containing core information about the high-carbon hotspots.

[0042] Preferably, the carbon footprint quantification model for landscaping projects in the carbon footprint quantification calculation module calculates carbon emissions at each stage as follows:

[0043] Receive the carbon footprint knowledge graph and related reasoning results output by the knowledge graph construction module;

[0044] The entity attribute data and entity relationship data in the carbon footprint knowledge graph are screened and organized to extract the core information related to carbon emission calculation;

[0045] A quantitative model of carbon footprint for landscape engineering based on life cycle assessment theory;

[0046] Based on the constructed carbon footprint quantification model for garden engineering, and combined with the entity attribute data and carbon emission coefficients associated in the carbon footprint knowledge graph, the carbon emission accounting work for the material production stage, transportation stage, construction stage, and maintenance stage is completed in sequence.

[0047] By calculating in stages, the carbon footprint data can be accurately quantified, and the granularity of carbon emission accounting can be refined to every tree, every piece of soil, every piece of machinery, and every process.

[0048] Preferably, the step of sequentially completing the carbon emission accounting work for the material production stage, transportation stage, construction stage, and maintenance stage specifically includes:

[0049] Extract the usage information of various materials and the corresponding carbon emission coefficients of production processes from the carbon footprint knowledge graph, and combine the two to complete the carbon emission statistics for this stage.

[0050] Retrieve carbon emission data related to material weight, transportation distance, and transportation vehicles from the carbon footprint knowledge graph to calculate carbon emissions during the transportation process from the production or cultivation source to the construction site.

[0051] By integrating the machine usage time, labor input, and carbon emission parameters related to machinery and labor in each process of the carbon footprint knowledge graph, carbon emission statistics during the construction process are completed.

[0052] Extract data on water and fertilizer usage, as well as machinery usage, from the carbon footprint knowledge graph of the maintenance objects. Combine this data with relevant carbon emission parameters to complete the carbon emission accounting for the later stages of maintenance.

[0053] Preferably, it also includes a carbon emission coefficient database management module for building and dynamically updating the carbon footprint coefficient database of landscaping projects.

[0054] Compared with the prior art, the beneficial effects of the present invention are:

[0055] This invention achieves comprehensive collection and deep fusion of unstructured and structured data, providing data assurance for accurate quantification. By constructing a carbon footprint knowledge graph, it realizes semantic association and knowledge accumulation of multi-source data entities. Based on preset carbon emission calculation rules, it realizes automated reasoning calculation of carbon emission data, improving the accuracy and comprehensiveness of reasoning. By linking entities and carbon emission data at each stage through the knowledge graph, it achieves complete quantification of the carbon footprint throughout the entire life cycle, more comprehensively reflecting the carbon emission status of landscape engineering, providing a basis for full-process emission reduction optimization. It automatically identifies high-carbon hotspots and triggers early warnings, realizing full-process automation of high-carbon hotspot identification, early warning, and alternative solution matching. By linking supplier information and the latest industry data through the knowledge graph, it realizes dynamic updates of the coefficient library, ensuring the accuracy and timeliness of carbon footprint quantification calculation, and solving the problem of large deviations in quantification results caused by mismatched carbon emission coefficients in existing technologies. Attached Figure Description

[0056] Figure 1 This is a module diagram of the knowledge graph-based carbon footprint quantification management system for green construction in landscape engineering, as described in this invention.

[0057] Figure 2 This is a flowchart of the knowledge graph-based carbon footprint quantification management system for green construction in landscape engineering, as described in this invention. Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] To address the issue that existing technologies, which only differentiate between phases and regions to locate emission anomalies without considering carbon sink accounting, thus failing to quantify the carbon footprint of landscaping projects across all dimensions, please refer to [link to relevant documentation]. Figures 1-2 This embodiment provides the following technical solution:

[0060] The knowledge graph-based carbon footprint quantification management system for green construction in landscape engineering includes a multi-source heterogeneous data acquisition module, a knowledge graph construction module, a carbon footprint quantification calculation module, a visualization module, and a dynamic update and early warning module, all connected in sequence. These modules work together to achieve full-process quantitative management of the carbon footprint of green construction in landscape engineering. Specific functions are as follows:

[0061] The multi-source heterogeneous data acquisition module is used to collect multi-source heterogeneous data during the construction process of landscape engineering, and at the same time realize the fusion of multi-source heterogeneous data;

[0062] The knowledge graph construction module is used to build a carbon footprint knowledge graph. Based on the entity relationships in the carbon footprint knowledge graph and the preset carbon emission calculation rules, it enables the reasoning and calculation of carbon emission data.

[0063] The carbon footprint quantification calculation module is used to calculate carbon footprint data based on carbon footprint knowledge graph and reasoning calculation results, combined with the carbon footprint quantification model of landscape engineering constructed based on life cycle assessment theory. The carbon footprint data includes the carbon emissions of a single component, a single process, a single machine, a single plant planting, and a single cubic meter of soil treatment. At the same time, it also counts the total carbon emissions, carbon emission intensity, and emission reduction progress of the project.

[0064] The visualization module is used to map carbon footprint data to a 3D BIM model, enabling the visualization of carbon footprint data.

[0065] The dynamic update early warning module is used to collect real-time construction data, including construction progress plan data, on-site construction logs, machinery shift records, and material consumption records. Based on the real-time construction data, the module dynamically updates entity attributes and relationships, and monitors the quantification results output by the carbon footprint quantification calculation module in real time.

[0066] The multi-source heterogeneous data acquisition module's acquisition and processing of multi-source heterogeneous data specifically includes:

[0067] Collect multi-source heterogeneous data during the construction process of landscape engineering. The multi-source heterogeneous data includes unstructured data and structured data. The unstructured data includes BIM model files, construction organization design schemes, and special construction schemes. The structured data includes bills of materials, supplier information, machinery shift records, seedling cultivation information, soil transportation records, and carbon emission coefficient database data.

[0068] Natural language processing and BIM semantic parsing techniques are used to extract entities and relationships from unstructured data;

[0069] Structured data is processed using standardized interface import and format conversion techniques. Then, through data cleaning, deduplication, and standardization, multi-source heterogeneous data is fused, and the fused full data is output.

[0070] The process of constructing a carbon footprint knowledge graph using the knowledge graph construction module specifically includes:

[0071] Based on entity information in the fused data, define entity types and entity attributes, and establish an entity layer;

[0072] Based on the relationship information in the fused data and combined with the characteristics of landscape engineering construction, we define the types of relationships between entities and establish a relationship layer;

[0073] Based on carbon emission-related data, supplement the carbon emission attributes of each entity and establish an attribute layer;

[0074] A carbon footprint knowledge graph constructed using a graph database is used to achieve efficient storage and retrieval of entity, relation, and attribute data;

[0075] A pre-defined carbon emission calculation rule library is provided, which includes rules for carbon emission during the material production stage (material usage × corresponding carbon emission coefficient) and carbon emission during the construction stage (machine shifts × carbon emission coefficient per machine shift). The logic of entity association and carbon emission calculation is clearly defined.

[0076] Extract entity attributes and relationship data from the carbon footprint knowledge graph, and combine them with preset carbon emission calculation rules to complete automated reasoning calculation of basic carbon emission data, ensuring the accuracy of core data;

[0077] Once high-carbon hotspots are identified, their core attribute information is extracted based on the entity association network in the carbon footprint knowledge graph.

[0078] Search the carbon footprint knowledge graph for low-carbon materials or energy-saving machinery with matching attributes to achieve precise matching of low-carbon alternatives.

[0079] Searching the carbon footprint knowledge graph for low-carbon materials or energy-saving machinery with matching attributes to achieve precise matching of low-carbon alternatives, specifically including:

[0080] Once a high-carbon hotspot is identified, its key attributes are extracted. These key attributes include the material's function, specifications, material, cost range, construction adaptability, or the machinery's power, operating efficiency, applicable procedures, and energy consumption standards.

[0081] Based on the extracted key attributes, similarity matching is performed in the low-carbon material library or energy-saving machinery library of the carbon footprint knowledge graph to screen out candidate alternatives with a key attribute matching degree ≥80%.

[0082] Carbon emission calculations and cost assessments are performed on candidate alternatives. Candidate alternatives whose carbon emissions exceed the original high-carbon hotspots or whose costs exceed the budget threshold are eliminated. Finally, the optimal low-carbon alternative is determined, and detailed information about the optimal low-carbon alternative is pushed to the management personnel terminal.

[0083] The visualization module implements the process of associating and mapping carbon footprint data with 3D BIM models, specifically including:

[0084] The carbon emission data of each entity output by the carbon footprint quantification calculation module are bound to the corresponding components, seedlings, and mechanical model components in the BIM model through the unique identifier of the entity, thus establishing a one-to-one correspondence between carbon footprint data and BIM model components.

[0085] By integrating GIS geospatial data with BIM models, the geospatial distribution of the project construction site can be displayed on a GIS map, and a carbon footprint data layer can be overlaid to present the carbon emission distribution in different areas.

[0086] The system displays key indicators such as total carbon emissions, carbon intensity, and emission reduction progress in real time, and presents the carbon footprint distribution using a combination of charts and 3D models.

[0087] The dynamic update process of the early warning module specifically includes:

[0088] Set a data update cycle and collect real-time construction data according to the set update cycle;

[0089] By comparing real-time construction data with existing entity attributes and relationship data in the carbon footprint knowledge graph, changes in the data are identified, and the changed entity attributes and relationships are updated.

[0090] Based on the updated carbon footprint knowledge graph data, the carbon footprint quantification calculation module is triggered to recalculate carbon emission data, update the project's total carbon emissions, carbon emission intensity and emission reduction progress indicators, and simultaneously update the visualized carbon footprint curve.

[0091] Set carbon emission thresholds and monitor the quantification results in real time. When carbon emissions exceed the set threshold, trigger an early warning signal. The early warning signal includes the name, location, current carbon emissions, and percentage of high-carbon hotspots that exceed the threshold.

[0092] The process of setting carbon emission thresholds, monitoring the quantification results in real time, and triggering an early warning signal when carbon emissions exceed the set thresholds includes:

[0093] By combining industry standards for landscaping engineering, historical data from similar projects, and project emission reduction targets, differentiated carbon emission thresholds are set according to material type and machinery model to form a threshold standard library;

[0094] Establish a real-time data transmission channel with the carbon footprint quantification calculation module to continuously acquire dynamic carbon emission quantification results for various materials and machinery;

[0095] The real-time carbon emission quantification results are compared one by one with the corresponding preset thresholds in the threshold standard library. If the carbon emission data of a certain material or machinery exceeds its corresponding threshold, it is determined to be a high carbon hotspot.

[0096] Once the high-carbon hotspots are identified, an early warning mechanism is immediately activated to generate an early warning signal containing core information about the high-carbon hotspots. The mechanism also links with the carbon footprint knowledge graph construction module to search for and match low-carbon alternative materials or energy-saving machinery that meet construction technical requirements and are cost-controllable, and pushes the low-carbon alternative solutions to the management personnel's terminals.

[0097] The carbon footprint quantification model for landscaping projects in the carbon footprint quantification calculation module calculates carbon emissions at each stage as follows:

[0098] Receive the carbon footprint knowledge graph and related reasoning results output by the knowledge graph construction module;

[0099] The entity attribute data and entity relationship data in the carbon footprint knowledge graph are screened and organized to extract the core information related to carbon emission calculation, ensuring the integrity and validity of the data;

[0100] The carbon footprint quantification model for landscape engineering is constructed based on the life cycle assessment theory. This model fully integrates the construction characteristics of landscape engineering, has a pre-set carbon emission calculation logic adapted to landscape engineering, and can directly connect to the data format output by the carbon footprint knowledge graph.

[0101] Based on the constructed carbon footprint quantification model for landscape engineering, and combined with the entity attribute data and carbon emission coefficients associated in the carbon footprint knowledge graph, the carbon emission accounting work for the material production stage, transportation stage, construction stage, and maintenance stage is completed in sequence. The accounting for each stage is strictly associated with the corresponding entity information in the carbon footprint knowledge graph to ensure the accuracy of the accounting process.

[0102] By calculating in stages, the carbon footprint data can be accurately quantified, and the carbon emission accounting granularity can be refined to every tree, every piece of soil, every piece of machinery and every process, providing accurate data support for subsequent visualization and dynamic management.

[0103] The carbon emission accounting work is completed sequentially for the material production, transportation, construction, and maintenance phases, specifically including:

[0104] Extract the usage information of various materials and the corresponding carbon emission coefficients of production processes from the carbon footprint knowledge graph, and combine the two to complete the carbon emission statistics for this stage.

[0105] Retrieve carbon emission data related to material weight, transportation distance, and transportation vehicles from the carbon footprint knowledge graph to calculate carbon emissions during the transportation process from the production or cultivation source to the construction site.

[0106] By integrating the machine usage time, labor input, and carbon emission parameters related to machinery and labor in each process of the carbon footprint knowledge graph, carbon emission statistics during the construction process are completed.

[0107] Extract data on water and fertilizer usage, as well as machinery usage, from the carbon footprint knowledge graph of the maintenance objects. Combine this data with relevant carbon emission parameters to complete the carbon emission accounting for the later stages of maintenance.

[0108] It also includes a carbon emission coefficient database management module, which is connected to the data acquisition module and the knowledge graph construction module. This module is used to build and dynamically update the carbon footprint coefficient database for landscaping projects. The carbon footprint coefficient database for landscaping projects includes carbon emission coefficients for seedlings, soil, landscape building materials, landscaping machinery, water resources, and fertilizers. The carbon emission coefficient database management module dynamically updates the data in the coefficient database by collecting the latest industry research data, carbon emission reports provided by suppliers, and on-site measurement data, ensuring the accuracy and timeliness of the carbon emission coefficients.

[0109] Working principle: When using the knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering of this invention, according to... Figure 1 and Figure 2 This includes the following steps:

[0110] S1: Collect multi-source heterogeneous data during the construction process of landscape engineering, and simultaneously achieve the fusion of multi-source heterogeneous data;

[0111] S2: Construct a carbon footprint knowledge graph. Based on the entity relationships in the carbon footprint knowledge graph and the preset carbon emission calculation rules, realize the reasoning calculation of carbon emission data. When a high carbon hotspot is identified, extract the core attribute information of the high carbon hotspot based on the entity relationship network in the carbon footprint knowledge graph.

[0112] Search the carbon footprint knowledge graph for low-carbon materials or energy-saving machinery with matching attributes to achieve precise matching of low-carbon alternatives;

[0113] S3: Based on the carbon footprint knowledge graph and reasoning calculation results, combined with the carbon footprint quantification model of landscape engineering, calculate carbon footprint data;

[0114] S4: Map carbon footprint data to a 3D BIM model to achieve a visual representation of the carbon footprint data;

[0115] S5: Collect real-time construction data, dynamically update entity attributes and relationships based on real-time construction data, monitor the quantification results output by the carbon footprint quantification calculation module in real time, compare real-time construction data with existing entity attribute and relationship data in the carbon footprint knowledge graph, identify data changes, and update the changed entity attributes and relationships.

[0116] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0117] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A knowledge graph-based carbon footprint quantification management system for green construction in landscape engineering, characterized in that, It includes a multi-source heterogeneous data acquisition module, a knowledge graph construction module, a carbon footprint quantification calculation module, a visualization display module, and a dynamic update and early warning module, which are connected in sequence. The modules work together to realize the full-process quantitative management of the carbon footprint of green construction in landscape engineering. The specific functions are as follows: The multi-source heterogeneous data acquisition module is used to collect multi-source heterogeneous data during the construction process of landscape engineering, and at the same time realize the fusion of multi-source heterogeneous data; The knowledge graph construction module is used to build a carbon footprint knowledge graph. Based on the entity relationships in the carbon footprint knowledge graph and the preset carbon emission calculation rules, it enables the reasoning and calculation of carbon emission data. The carbon footprint quantification calculation module is used to calculate carbon footprint data based on the carbon footprint knowledge graph and reasoning calculation results, combined with the carbon footprint quantification model of landscape engineering. The visualization module is used to map carbon footprint data to a 3D BIM model, enabling the visualization of carbon footprint data. The dynamic update early warning module is used to collect real-time construction data, dynamically update entity attributes and relationships based on the real-time construction data, and monitor the quantification results output by the carbon footprint quantification calculation module in real time.

2. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 1, characterized in that, The multi-source heterogeneous data acquisition module's acquisition and processing of multi-source heterogeneous data specifically includes: Collect multi-source heterogeneous data during the construction process of landscape engineering. The multi-source heterogeneous data includes unstructured data and structured data. Natural language processing and BIM semantic parsing techniques are used to extract entities and relationships from unstructured data; Structured data is processed using standardized interface import and format conversion techniques. Then, through data cleaning, deduplication, and standardization, multi-source heterogeneous data is fused, and the fused full data is output.

3. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 1, characterized in that, The process of constructing the carbon footprint knowledge graph by the knowledge graph construction module specifically includes: Based on entity information in the fused data, define entity types and entity attributes, and establish an entity layer; Based on the relationship information in the fused data and combined with the characteristics of landscape engineering construction, we define the types of relationships between entities and establish a relationship layer; Based on carbon emission-related data, supplement the carbon emission attributes of each entity and establish an attribute layer; A carbon footprint knowledge graph constructed using a graph database is used to achieve efficient storage and retrieval of entity, relation, and attribute data; A pre-defined rule base for carbon emission calculation is established, clearly defining the corresponding logic between entity associations and carbon emission calculations; Extract entity attributes and relationship data from the carbon footprint knowledge graph, and combine them with preset carbon emission calculation rules to complete the automated reasoning and calculation of basic carbon emission data; Once high-carbon hotspots are identified, their core attribute information is extracted based on the entity association network in the carbon footprint knowledge graph. Search the carbon footprint knowledge graph for low-carbon materials or energy-saving machinery with matching attributes to achieve precise matching of low-carbon alternatives.

4. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 1, characterized in that, The process of searching for low-carbon materials or energy-saving machinery with matching attributes in the carbon footprint knowledge graph to achieve precise matching of low-carbon alternatives specifically includes: Once a high-carbon hotspot is identified, its key attributes are extracted. Based on these extracted attributes, similarity matching is performed in the low-carbon material library or energy-saving machinery library of the carbon footprint knowledge graph to select candidate alternatives. Carbon emission calculations and cost assessments are conducted on candidate alternatives. Candidate alternatives whose carbon emissions exceed the original high-carbon hotspots or whose costs exceed the budget threshold are eliminated, and the optimal low-carbon alternative is finally determined.

5. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 1, characterized in that, The visualization module implements the process of associating and mapping carbon footprint data with 3D BIM models, specifically including: The carbon emission data of each entity output by the carbon footprint quantification calculation module are bound to the corresponding components, seedlings, and mechanical model components in the BIM model through the unique identifier of the entity, thus establishing a one-to-one correspondence between carbon footprint data and BIM model components. By integrating GIS geospatial data with BIM models, the geospatial distribution of the project construction site can be displayed on a GIS map, and a carbon footprint data layer can be overlaid to present the carbon emission distribution in different areas. The system displays key indicators such as total carbon emissions, carbon intensity, and emission reduction progress in real time, and presents the carbon footprint distribution using a combination of charts and 3D models.

6. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 1, characterized in that, The dynamic update process of the dynamic update early warning module specifically includes: Set a data update cycle and collect real-time construction data according to the set update cycle; By comparing real-time construction data with existing entity attributes and relationship data in the carbon footprint knowledge graph, changes in the data are identified, and the changed entity attributes and relationships are updated. Based on the updated carbon footprint knowledge graph data, the carbon footprint quantification calculation module is triggered to recalculate carbon emission data, update the project's total carbon emissions, carbon emission intensity and emission reduction progress indicators, and simultaneously update the visualized carbon footprint curve. Set carbon emission thresholds and monitor the quantification results in real time. When carbon emissions exceed the set thresholds, trigger an early warning signal.

7. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 6, characterized in that, The process of setting a carbon emission threshold, monitoring the quantification results in real time, and triggering an early warning signal when carbon emissions exceed the set threshold specifically includes: By combining industry standards for landscaping engineering, historical data from similar projects, and project emission reduction targets, differentiated carbon emission thresholds are set according to material type and machinery model to form a threshold standard library; Establish a real-time data transmission channel with the carbon footprint quantification calculation module to continuously acquire dynamic carbon emission quantification results for various materials and machinery; The real-time carbon emission quantification results are compared one by one with the corresponding preset thresholds in the threshold standard library. If the carbon emission data of a certain material or machinery exceeds its corresponding threshold, it is determined to be a high carbon hotspot. Once the high-carbon hotspots are identified, an early warning mechanism is immediately activated to generate an early warning signal containing core information about the high-carbon hotspots.

8. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 1, characterized in that, The carbon footprint quantification model for landscaping projects in the aforementioned carbon footprint quantification calculation module calculates carbon emissions at each stage as follows: Receive the carbon footprint knowledge graph and related reasoning results output by the knowledge graph construction module; The entity attribute data and entity relationship data in the carbon footprint knowledge graph are screened and organized to extract the core information related to carbon emission calculation; A quantitative model of carbon footprint for landscape engineering based on life cycle assessment theory; Based on the constructed carbon footprint quantification model for garden engineering, and combined with the entity attribute data and carbon emission coefficients associated in the carbon footprint knowledge graph, the carbon emission accounting work for the material production stage, transportation stage, construction stage, and maintenance stage is completed in sequence. By calculating in stages, the carbon footprint data can be accurately quantified, and the granularity of carbon emission accounting can be refined to every tree, every piece of soil, every piece of machinery, and every process.

9. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 8, characterized in that, The carbon emission accounting work for the material production, transportation, construction, and maintenance stages is completed sequentially, specifically including: Extract the usage information of various materials and the corresponding carbon emission coefficients of production processes from the carbon footprint knowledge graph, and combine the two to complete the carbon emission statistics for this stage. Retrieve carbon emission data related to material weight, transportation distance, and transportation vehicles from the carbon footprint knowledge graph to calculate carbon emissions during the transportation process from the production or cultivation source to the construction site. By integrating the machine usage time, labor input, and carbon emission parameters related to machinery and labor in each process of the carbon footprint knowledge graph, carbon emission statistics during the construction process are completed. Extract data on water and fertilizer usage, as well as machinery usage, from the carbon footprint knowledge graph of the maintenance objects. Combine this data with relevant carbon emission parameters to complete the carbon emission accounting for the later stages of maintenance.

10. The knowledge graph-based carbon footprint quantification management system for green construction of landscape engineering as described in claim 1, characterized in that, It also includes a carbon emission coefficient database management module, used to build and dynamically update the carbon footprint coefficient database for landscaping projects.

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