A method for storing and processing product carbon footprint data

Abstract

A method for storing and processing product carbon footprint data includes: identifying entities, relationships and attributes involved in the entire life cycle of a product, establishing a directed graph model of product carbon footprint data; encoding the product carbon footprint data of the entire life cycle in time and space, and structurally organizing the product carbon footprint data; constructing a storage record of product carbon footprint data based on a graph database, and making version marks for the generation, modification and update process of emission accounting data in the entire life cycle; establishing index keys based on entity tags according to dimensions such as emission process and space, and establishing an efficient retrieval method for the entire life cycle of product carbon footprint data; defining the scope of product carbon footprint disclosure, identifying important carbon footprint data nodes and relationships, and implementing integrated processing and transformation of product carbon footprint data to achieve mapping and visual expression from product carbon footprint data to disclosure reports. The present invention proposes a product carbon footprint data storage and processing solution based on a graph model, which realizes unified digital expression and full-process data management in product carbon footprint records, and realizes the disclosure and visualization of product carbon footprint data based on spatial information, thereby supporting application needs in fields such as carbon tax mechanisms, sustainable supply chains and sustainable finance.

Description

Technical Field

[0001] The present invention relates to a product carbon footprint data storage and processing method, and belongs to the field of sustainable development, carbon neutrality and computer technology. Background Art

[0002] Greenhouse gases in the atmosphere can absorb long-wave radiation reflected from the earth's surface and re-emit radiation, thereby affecting the energy exchange between the earth and outer space and causing climate change. Among them, greenhouse gas emissions caused by various activities in human production and life are an important way for humans to affect the global climate system. Global climate change, especially the frequent occurrence of extreme climates, has brought huge challenges to human survival and sustainable development. Therefore, controlling or reducing greenhouse gas emissions caused by human activities, mitigating and responding to climate change have become important contents for achieving sustainable development of human society. Based on relevant research, the Intergovernmental Panel on Climate Change (IPCC) of the United Nations proposed a global climate change target of carbon dioxide (CO 2 ) and methane (CH 4 ), nitrous oxide (N 2 In order to reduce the emission of greenhouse gases from human activities (emission reduction) and increase the absorption of greenhouse gases (sink enhancement), a climate change response plan has been formed under the framework of the United Nations Framework Convention on Climate Change (UNFCCC), including major greenhouse gases emitted by human activities such as nitrogen oxides (NO3), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), and sulfur hexafluoride (SF6).

[0003] Accurately measuring greenhouse gases generated by human activities is the basis for implementing a global climate change response plan with emission reduction as the core. Carbon dioxide is the main greenhouse gas. Greenhouse gas emissions generated by human activities are converted into carbon dioxide equivalents according to the potential warming capacity of the gas. Carbon is used as the basic unit of measurement to achieve quantitative greenhouse gas emission measurement and management. The scope of quantitative measurement and management of carbon emissions not only includes organizational combustion emissions, industrial process emissions, transportation emissions, and afforestation, agricultural emission reduction, new energy, and material recycling processes. In order to quantitatively describe the carbon emission transfer process caused by product-centered material exchanges in social and economic activities and realize sustainable supply chain management, the concept and measurement method of product carbon footprint have also been proposed as an important part of carbon measurement and management. Product carbon footprint refers to the total amount of direct and indirect carbon dioxide and other greenhouse gas emissions caused by a unit of product during its life cycle (expressed in the form of CO2 emission equivalents). The measurement of product carbon footprint requires modeling and data collection of greenhouse gas emission processes in the entire life cycle of product raw material production, raw material transportation, product production and processing, product transportation and sales, product use and recycling, and obtaining a quantitative estimate of the carbon footprint of a unit product through the technical means of product life cycle analysis (LCA). Product carbon footprint data is an important support for the implementation of carbon neutrality approaches and sustainable strategies such as carbon tax mechanisms, sustainable supply chain management, and sustainable finance. At present, the forms of product carbon footprint data storage and sharing mainly include EcoSpold, ILCD, JSON-LD, XML self-describing files and even CSV formats. The storage models of these methods generally decompose and describe product carbon footprint measurement data and LCA processes in a structured manner, thereby realizing the storage and exchange of product carbon footprint data in the entire process. However, the product carbon footprint covers multi-modal data such as time, spatial location, and process involved in the entire life cycle of product raw material production, raw material transportation, product production and processing, product transportation and sales, and product use and recycling, and structured modeling and storage methods are difficult to efficiently and accurately depict the inherent spatiotemporal connections of each stage in the life cycle. Whether it is the Carbon Border Adjustment Mechanism (CBAM) implemented by the European Union or the business needs of sustainable supply chain management and sustainable finance, both have put forward high requirements on the retrieval, query and standardized disclosure of large-scale product carbon footprint data from a technical level. Therefore, it is necessary to adopt a carbon footprint data model and processing method that combines space, time and process modeling to achieve efficient and intuitive data storage, indexing and retrieval functions, thereby supporting application needs in fields such as carbon tax mechanisms, sustainable supply chains and sustainable finance. Summary of the invention

[0004] The product carbon footprint data storage and processing method described in the present invention aims to provide a multi-mode product carbon footprint data model and processing method based on a graph structure covering time, spatial location, process modeling and other aspects of the entire product life cycle including raw material production, raw material transportation, production and processing, transportation and sales, use and recycling, so as to achieve a unified and scalable data storage mode and intuitive and efficient storage, indexing and retrieval processing for product carbon footprint data, support efficient management, processing and disclosure of large-scale product carbon footprint data, and meet the demand for accurate and efficient product carbon footprint data in the implementation of carbon tax, sustainable supply chain and sustainable financial business.

[0005] The present invention provides a method for storing and processing product carbon footprint data, comprising the following steps:

[0006] Step S1, based on life cycle analysis, identifying entities, relationships and attributes involved in the entire life cycle of the product, and establishing a directed graph model of the product carbon footprint data;

[0007] Step S2, temporal and spatial coding of the product carbon footprint data throughout the life cycle, and structural organization of the product carbon footprint data based on the directed graph model constructed in S1, including emission measurement scientific model and reference standardization, and temporal and spatial coding;

[0008] Step S3, based on S1 and S2, a storage record of product carbon footprint data is constructed based on the graph database, and version marking is performed on the generation, modification, and update process of emission accounting data throughout the life cycle to implement data version management;

[0009] Step S4, according to the graph model data of the product carbon footprint data established in S3, index keys are established based on entity tags according to the emission process, space, and time dimensions, and an efficient retrieval method for the entire life cycle of product carbon footprint data is established;

[0010] Step S5, guided by the disclosure standards of carbon taxes, supply chains or financial institutions, define the scope of product carbon footprint disclosure, identify important carbon footprint data nodes and relationships, implement integrated processing and transformation of product carbon footprint data, and achieve mapping and visual expression from product carbon footprint data to disclosure reports;

[0011] The method for storing and processing product carbon footprint data described in the present invention identifies entities involved in key emission processes in the entire life cycle of a product from cradle to grave based on product life cycle analysis, and uses a graphical model to describe entities and their attributes as well as the relationships between entities; a structured organization and storage method for product carbon footprint data is established by normalizing the carbon emission measurement scientific model, spatial location and time coding, and unified and efficient management of large-scale product carbon footprint data is achieved by establishing multi-dimensional time and space index keys; guided by the business needs of carbon taxes, supply chains or financial institutions, important nodes, relationships and attributes in product carbon footprint data are identified, and key disclosure and information visualization solutions that meet business needs are established.

[0012] The advantages and positive effects of the present invention are:

[0013] (1) The present invention uses a graph structure to perform logical modeling on product carbon footprint data, realizes parameterized modeling of the correlation between each stage in the product life cycle, and implements efficient multiple depth search.

[0014] (2) The present invention integrates the emission process, emission measurement scientific model and references, and emission occurrence time and space information in the process of product carbon footprint measurement, thereby realizing unified digital expression of multi-mode data of the product life cycle and full-process data management.

[0015] (3) The present invention can describe the records of the entire process of the product life cycle by coupling spatiotemporal information for encoding, and realize the disclosure and visualization of product carbon footprint data based on spatial information. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A workflow diagram of a method for storing and processing carbon footprint data of a product;

[0017] Figure 2 This is an example of a directed graph model for a product’s carbon footprint data; DETAILED DESCRIPTION

[0018] like Figure 1As shown, a method for storing and processing product carbon footprint data includes the following steps: S1, based on life cycle analysis, identifying entities, relationships and attributes involved in the entire life cycle of a product, and establishing a directed graph model of product carbon footprint data; S2, temporally and spatially encoding the product carbon footprint data of the entire life cycle, and structurally organizing the product carbon footprint data based on the directed graph model constructed in S1, including emission measurement scientific model and reference standardization, and temporal and spatial encoding; S3, based on S1 and S2, constructing a storage record of product carbon footprint data based on a graph database, and marking the generation, modification and update process of emission accounting data in the entire life cycle to achieve data version management; S4, according to the graph model data of product carbon footprint data established in S3, index keys are established based on entity marking according to emission process, space and time dimensions, and an efficient retrieval method for product carbon footprint data throughout the life cycle is established; S5, guided by the disclosure standards of carbon taxes, supply chains or financial institutions, defining the scope of product carbon footprint disclosure, identifying important carbon footprint data nodes and relationships, implementing integrated processing and transformation of product carbon footprint data, and realizing mapping and visual expression from product carbon footprint data to disclosure reports. .

[0019] A method for storing and processing product carbon footprint data uses a graph structure as the basis to build a product carbon footprint data model in accordance with the disclosure requirements of carbon taxes, supply chains or financial institutions. By standardizing the time and space coding and emission measurement models involved in the emission process, data recording, storage and retrieval of the entire product life cycle are achieved, and efficient visualization and standardized disclosure of large-scale product carbon footprint data based on spatial information are achieved.

[0020] The step S1 of the product carbon footprint data storage and processing method includes the following steps: S11, according to the information of system boundaries, functional units, inputs, and outputs in the product carbon footprint data, the functional units, inputs, outputs, emission calculation results, and emission measurement models are identified as nodes in the graph model, and the relationship between the functional units, inputs, outputs, emission calculation results, and emission measurement models is identified as edges in the graph model; S12, the time, space, and other attributes of each node are organized in a dictionary manner, and the attribute values ​​are matched with the nodes and edges in the graph model; S13, according to the sequence of the process composition and the unit model in the above-mentioned product life cycle, the logical relationship between each node in the carbon footprint data is identified, and a directed graph model describing the product carbon footprint data is established;

[0021] The step S2 of the product carbon footprint data storage and processing method includes the following steps: S21, selecting a base time, taking seconds as the base unit, calculating the number of seconds from the key time points of the emission process moment and the accounting moment involved in the product carbon footprint data to the base year, and encoding the time with a large number; S22, extracting the spatial coordinates in the product carbon footprint data, encoding the spatial coordinates with reference to the standard of the spatial grid encoding rule, and obtaining a discrete encoding string of the spatial coordinates in the directed graph model of the product carbon footprint data; S23, parsing the key information of the input, output and model reference in the emission measurement model, and constructing an emission measurement model and reference dictionary data block based on a key-value pair structure;

[0022] The step S3 of the product carbon footprint data storage and processing method comprises the following steps: S31, based on the entities and relationships in the directed graph model established in S1, combined with the normalized processing results of the space, time coding and emission measurement model in S2, to form a structured product carbon footprint data record; S32, using a general graph database system platform integration, batch importing structured product carbon footprint data, creating nodes and relationships, and forming a product carbon footprint data record based on the graph model; S33, realizing version marking of the generation, modification, and update process of emission accounting data in the whole life cycle under the version control platform, and realizing data version management;

[0023] The step S4 of the product carbon footprint data storage and processing method comprises the following steps: S41, using the directed graph model of the product carbon footprint data established in S1, according to the input-output relationship of the predecessor and the successor, selecting important entity nodes and relationships according to the emission in each entity; S42, establishing an efficient retrieval method of multi-key union with entity nodes, space and time dimensions as the core; S43, storing the established product carbon footprint data index in the product carbon footprint graph database established in S3;

[0024] Step S5 described in the method for storing and processing product carbon footprint data includes the following steps: S51, based on the guidance documents on CBAM carbon tax and sustainable supply chain management business, combined with the directed graph model of product carbon footprint data created in S1, define the scope and granularity of product carbon footprint disclosure; S52, based on the above-defined carbon footprint disclosure scope and granularity, identify important nodes and relationships in the product carbon footprint graph model data, and extract corresponding nodes, attributes and relationships from the graph database system; S53, based on the extracted product carbon footprint data records, convert the spatial position and time codes, generate a spatial coordinate system and a commonly used time format, and realize the mapping and visual expression from the product carbon footprint graph model data to the disclosure report.

[0025] In summary, the present invention aims at the needs of efficient storage, standardized management, fast retrieval query and visual expression of large-scale product carbon footprint data in CBAM, sustainable supply chain management and sustainable financial business, and proposes a product carbon footprint data storage and processing solution based on a graph model. The solution uses a graph structure to logically model the functional units, inputs, outputs, spatiotemporal attributes, and emission measurement scientific models involved in the entire life cycle of the product, and performs parametric modeling of the association relationships at various stages in the product life cycle, thereby achieving efficient and intuitive data storage, indexing and multiple depth retrieval; the solution realizes unified digital expression and full-process data management in product carbon footprint records through the encoding and integration of multi-mode data; coupling spatiotemporal information, realizing the disclosure and visualization of product carbon footprint data based on spatial information, and supporting the application needs in fields such as carbon tax mechanism, sustainable supply chain and sustainable finance.

Claims

1. A method for storing and processing product carbon footprint data, comprising the following steps: Step S1, based on life cycle analysis, identify the entities, relationships and attributes involved in the entire life cycle of the product, and identify the functional units, inputs, outputs, emission calculation results and emission measurement models as nodes in the graph model according to the information of system boundaries, functional units, inputs and outputs in the product carbon footprint data, and identify the relationships between the functional units, inputs, outputs, emission calculation results and emission measurement models as edges in the graph model; organize the time attributes and spatial attributes of each node in a dictionary manner, and correspond the attribute values ​​to the nodes and edges in the graph model; identify the logical relationship between each node in the carbon footprint data according to the sequence of the process composition and unit model in the entire life cycle of the above-mentioned product, and establish a directed graph model describing the product carbon footprint data; Step S2, temporal and spatial coding of the product carbon footprint data over the entire life cycle, and structural organization of the product carbon footprint data based on the directed graph model constructed in S1, including emission measurement scientific model and reference standardization, and temporal and spatial coding; Step S3, based on S1 and S2, build a storage record of product carbon footprint data based on the graph database, and mark the generation, modification, and update process of emission accounting data throughout the life cycle to achieve data version management; Step S4, according to the graph model data of the product carbon footprint data established in S3, index keys are established based on entity tags according to emission process, space, and time dimensions to achieve efficient retrieval of multiple key combinations; Step S5, guided by the disclosure standards of carbon taxes, supply chains or financial institutions, defines the scope of product carbon footprint disclosure, identifies important carbon footprint data nodes and relationships, implements integrated processing and transformation of product carbon footprint data, and realizes mapping and visual expression from product carbon footprint data to disclosure reports.

2. A method for storing and processing product carbon footprint data according to claim 1, characterized in that: In step S2, a base time is selected, with seconds as the base unit, and the number of seconds from the key time points of the emission process and accounting time involved in the product carbon footprint data to the base year is calculated, and the time is encoded with a large number; Extract the spatial coordinates from the product carbon footprint data, encode the spatial coordinates according to the standard of spatial grid encoding rules, and obtain the discrete encoding string of the spatial coordinates in the directed graph model of the product carbon footprint data; parse the key information of input, output and model reference in the emission measurement model, and construct an emission measurement model and reference dictionary data block based on key-value pairs.

3. A method for storing and processing product carbon footprint data according to claim 1, characterized in that: In step S3, based on the entities and relationships in the directed graph model established in S1, combined with the normalization processing results of the space, time coding and emission measurement model in S2, a structured product carbon footprint data record is formed; using a general graph database system platform integration, batch import structured product carbon footprint data, create nodes and relationships, and form a product carbon footprint data record based on the graph model; under the version control platform, the generation, modification, and update process of emission accounting data throughout the life cycle are versioned to achieve data version management.

4. A method for storing and processing product carbon footprint data according to claim 1, characterized in that: In step S4, based on the directed graph model of product carbon footprint data established in S1, important entity nodes and relationships are selected according to the emissions in each entity in accordance with the previous and subsequent input-output relationships; an efficient retrieval method with multi-key union is established with entity nodes, space and time dimensions as the core; and the established product carbon footprint data index is stored in the product carbon footprint graph database established in S3.

5. The method for storing and processing product carbon footprint data according to claim 1, characterized in that: In step S5, based on the guidance documents of CBAM carbon tax and sustainable supply chain management business, combined with the directed graph model of product carbon footprint data created in S1, the scope and granularity of product carbon footprint disclosure are defined; on the above-defined carbon footprint disclosure scope and granularity, the important nodes and relationships in the product carbon footprint graph model data are identified, and the corresponding nodes, attributes and relationships are extracted from the graph database system; according to the extracted product carbon footprint data records, the spatial position and time coding are converted to generate a spatial coordinate system and a commonly used time format, so as to realize the mapping and visual expression from the product carbon footprint graph model data to the disclosure report.

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