Multi-modal data acquisition method for life cycle evaluation and related device

Abstract

The invention discloses a multi-modal data acquisition method for life cycle evaluation and a related device. The method comprises the following steps: acquiring original multi-modal data for life cycle evaluation; carrying out analysis and semantic alignment on the collected original multi-modal data to obtain multi-modal data after analysis and semantic alignment; and storing the analyzed and semantically aligned multi-modal data in a database table format. The method and the related device can efficiently collect and analyze the multi-modal data required by the LCA.

Description

Technical Field

[0001] The present invention belongs to the technical field of life cycle assessment and relates to a multimodal data acquisition method and related devices for life cycle assessment. Background Art

[0002] Life cycle assessment (LCA) is a tool used to evaluate the environmental impact of a product or service throughout its life cycle. However, LCA faces the following major challenges in practice:

[0003] Data acquisition is difficult: LCA data must cover multiple domains and modalities, including text, tables, and images. Acquiring this data often requires extensive manual effort, resulting in low efficiency and high costs. Existing methods typically rely on manual collection, which is not only inefficient but also prone to omissions and biases.

[0004] Complex data processing: Multimodal data formats are not standardized, and there is a lack of efficient analysis and integration methods, which affects data utilization efficiency. In addition, traditional methods for data analysis and integration often rely on expert knowledge in specific fields, making them difficult to adapt to cross-domain data needs.

[0005] Currently, there is a lack of a universal solution for efficiently collecting and analyzing multimodal data. Natural language processing and multimodal analysis capabilities based on large models can significantly improve data collection efficiency, but there are still technical gaps in their implementation. Summary of the Invention

[0006] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a multimodal data acquisition method and related devices for life cycle assessment, which can efficiently collect and analyze the multimodal data required for LCA.

[0007] To achieve the above objectives, the present invention discloses a multimodal data collection method for life cycle assessment, comprising:

[0008] Collecting original multimodal data for life cycle assessment;

[0009] Parsing and semantically aligning the collected original multimodal data to obtain parsed and semantically aligned multimodal data;

[0010] The parsed and semantically aligned multimodal data is stored in a database table format.

[0011] The multimodal data collection method for life cycle assessment described in the present invention is further improved in that:

[0012] Furthermore, the process of collecting original multimodal data for life cycle assessment is as follows:

[0013] Obtain the target LCA domain and product scope, and determine the LCA data collection scope and objectives based on the target LCA domain and product scope;

[0014] Based on the LCA data collection scope and objectives, use large model technology to obtain public data sources;

[0015] The unstructured data in the public data source is parsed to form original multimodal data.

[0016] Furthermore, the process of parsing the unstructured data in the public data source to form original multimodal data is as follows:

[0017] The unstructured data in the public data source is parsed using a large model to form original multimodal data.

[0018] Furthermore, the process of parsing and semantically aligning the collected original multimodal data to obtain the parsed and semantically aligned multimodal data is as follows:

[0019] Cleaning and formatting the original multimodal data;

[0020] Use a large model to parse and semantically align the cleaned and format-converted multimodal data to obtain parsed and semantically aligned multimodal data.

[0021] Furthermore, it also includes:

[0022] Build an API interface for LCA tools to call the multimodal data.

[0023] The present invention discloses a multimodal data acquisition system for life cycle assessment, comprising:

[0024] Acquisition module, used to collect raw multimodal data for life cycle assessment;

[0025] An alignment module is used to parse and semantically align the collected original multimodal data to obtain the parsed and semantically aligned multimodal data;

[0026] The storage module is used to store the parsed and semantically aligned multimodal data in a database table format.

[0027] The multimodal data acquisition system for life cycle assessment described in the present invention is further improved in that:

[0028] Furthermore, the acquisition module includes:

[0029] A first acquisition unit is configured to acquire a target LCA domain and product range, and determine an LCA data collection scope and target based on the target LCA domain and product range;

[0030] The second acquisition unit is used to obtain public data sources using large model technology according to the LCA data collection scope and objectives;

[0031] A parsing unit is used to parse the unstructured data in the public data source to form original multimodal data.

[0032] Furthermore, the alignment module includes:

[0033] a conversion unit, configured to clean and format-convert the original multimodal data;

[0034] The alignment unit is used to use a large model to parse and semantically align the cleaned and format-converted multimodal data to obtain the parsed and semantically aligned multimodal data.

[0035] The present invention discloses a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the multimodal data collection method for life cycle assessment are implemented.

[0036] The present invention discloses a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the multimodal data collection method for life cycle assessment are implemented.

[0037] The present invention has the following beneficial effects:

[0038] The multimodal data collection method and related apparatus for life cycle assessment described in this invention collect raw multimodal data for life cycle assessment, parse and semantically align the collected raw multimodal data, and generate parsed and semantically aligned multimodal data to support cross-domain LCA applications and improve the versatility of the model. Furthermore, the parsed and semantically aligned multimodal data is stored in a database table format, significantly improving the efficiency of LCA multimodal data collection, reducing manual intervention, and supporting a wider range of application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which constitute part of the present invention, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings:

[0040] Figure 1 is a flow chart of the method of the present invention;

[0041] Figure 2 This is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0043] In the description of the present invention, it is to be understood that the terms “include” and “comprise” indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0044] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0045] It should be further understood that the term "and / or" as used in the present specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0046] It should be understood that although the terms "first," "second," and "third" may be used to describe preset ranges in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are merely used to distinguish one preset range from another. For example, without departing from the scope of embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0047] The word "if," as used herein, may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0048] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0049] The accompanying drawings illustrate various schematic diagrams of structures according to embodiments disclosed herein. These figures are not drawn to scale; for clarity, some details are exaggerated and some details may be omitted. The shapes of the various regions and layers shown in the figures, as well as their relative sizes and positional relationships, are merely exemplary and may deviate in practice due to manufacturing tolerances or technical limitations. Those skilled in the art may design regions / layers with different shapes, sizes, and relative positions as needed.

[0050] Example 1

[0051] refer to Figure 1 The multimodal data collection method for life cycle assessment of the present invention comprises the following steps:

[0052] 1) Data collection;

[0053] 11) Obtain the target LCA domain or product scope, and determine the LCA data collection scope and objectives based on the target LCA domain and product scope;

[0054] 12) Based on the LCA data collection scope and objectives, use large model technology to obtain public data sources, including at least one of scientific literature, government reports, industry standards, and relevant technology lists;

[0055] 13) Use big models to parse unstructured data in public data sources to form original multimodal data.

[0056] 131) For text data, extract key indicators and semantic information of the key indicators through semantic analysis;

[0057] 132) For tabular data; parse the tabular data and map the parsed results to standard fields to support data formats in different fields;

[0058] 133) For image data, labels and attributes in the image data are extracted through image recognition technology, such as specific parameters of production equipment and material identification.

[0059] 2) parsing and semantically aligning the original multimodal data to obtain parsed and semantically aligned multimodal data;

[0060] 21) Cleaning and formatting the multimodal data to ensure data consistency, specifically, removing noise data and formatting the data in a unified manner;

[0061] 22) Use a large model to semantically align the multimodal data to generate a unified structured output result, for example, associating the material labels extracted from the image with the descriptions in the text data; based on the associations of stages, processes, etc. corresponding to different data, a knowledge graph is formed.

[0062] 3) The parsed and semantically aligned multimodal data is stored in a database table format to facilitate direct access by LCA tools. In addition, an API interface is built to support cross-platform data sharing and interaction.

[0063] Example 2

[0064] The purpose of this embodiment is to achieve the automated collection and analysis of multimodal data (text, images, tables, etc.) during the production, use, and end-of-life recycling stages of electric vehicles, including energy and material consumption data during raw material production, battery manufacturing, vehicle assembly, use, and end-of-life recycling, for the purpose of assessing their lifecycle carbon emissions.

[0065] The specific process of this embodiment is as follows:

[0066] 1) Data collection: the collected data include:

[0067] 11) Textual data such as national and industry carbon emission reports, automobile manufacturer reports, scientific research literature, industry carbon assessment standards and specifications, and equipment parameter manuals;

[0068] 12) Scanning documents, equipment energy consumption labels and other image data;

[0069] 13) Sensor data such as charge and discharge capacity, power consumption, vehicle mileage, and production equipment operating hours.

[0070] 2) Perform data extraction;

[0071] The data to be extracted include:

[0072] 21) Production stage: It is mainly necessary to extract material usage data and energy consumption data from different production processes. For example, in the battery pack production process, how many kg of battery modules, how many kg of packaging, how many kilograms of battery management system, how many kWh of electricity, how many kilometers of transportation distance and transportation method (or how much diesel or gasoline is consumed) are required to produce 1 kg of battery pack; in the battery module / packaging / battery management system production process, how many kg of corresponding materials, how many kWh of electricity, how many kilometers of transportation distance and transportation method (or how many liters of diesel or gasoline is consumed) are required to produce 1 kg of battery module / packaging / battery management system. And so on, an exponentially growing process chain can be established until it is traced back to the raw material mining stage, for example, lithium mining. The ultimate goal is to clarify the energy consumption generated in each process and then calculate the total carbon emissions by electricity consumption * electricity carbon emission factor (carbon emissions generated by producing 1 kWh of electricity) and fuel consumption * fuel carbon emission factor (carbon emissions generated by burning 1 liter of fuel). Some production processes will also directly generate carbon emissions, and these direct carbon emissions must also be collected separately.

[0073] 22) Use phase: Mainly collect data such as vehicle service life, annual mileage, annual electricity consumption, and annual power structure. If the annual electricity consumption cannot be collected directly, it can also be calculated by collecting data such as vehicle energy efficiency and battery charging efficiency.

[0074] 23) In the scrap recycling stage, the main data collected are the recovery rates of different materials, as well as the amount of materials and energy consumption required in the recycling process. For example, how many kg of organic or inorganic solvents are needed to recycle 1 kg of lithium, how many kWh of electricity is needed, how many liters of diesel are needed, etc.

[0075] 3) Data processing and storage;

[0076] The big model is used to parse and semantically align complex text descriptions, images, and tables, and the extracted data is stored in a standardized database table format. At the same time, the aforementioned process also extracts the stages and process relationships involved in each data. For example, the production stage includes processes such as battery pack production, frame production, and vehicle assembly. Battery pack production includes battery module production, packaging, and battery management system production. Battery module production includes cell production, module packaging, and telecommunications monitoring circuit production. Similarly, each process has a quantitative relationship between production volume and material usage and energy consumption. Based on these stages, the relationships between processes and the quantitative relationships, it is necessary to use the big model capabilities to build a corresponding knowledge graph.

[0077] Example 3

[0078] refer to Figure 2 The multimodal data acquisition system for life cycle assessment of the present invention comprises:

[0079] Acquisition module, used to collect raw multimodal data for life cycle assessment;

[0080] An alignment module is used to parse and semantically align the collected original multimodal data to obtain the parsed and semantically aligned multimodal data;

[0081] The storage module is used to store the parsed and semantically aligned multimodal data in a database table format.

[0082] In this embodiment, the acquisition module includes:

[0083] A first acquisition unit is configured to acquire a target LCA domain and product range, and determine an LCA data collection scope and target based on the target LCA domain and product range;

[0084] The second acquisition unit is used to obtain public data sources using large model technology according to the LCA data collection scope and objectives;

[0085] A parsing unit is used to parse the unstructured data in the public data source to form original multimodal data.

[0086] In this embodiment, the alignment module includes:

[0087] a conversion unit, configured to clean and format-convert the original multimodal data;

[0088] The alignment unit is used to use a large model to parse and semantically align the cleaned and format-converted multimodal data to obtain the parsed and semantically aligned multimodal data.

[0089] The division of modules in the embodiments of the present application is illustrative and is merely a logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the present application may be integrated into a single processor, or may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0090] Example 4

[0091] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a multimodal data collection method for life cycle assessment, including, for example: collecting raw multimodal data for life cycle assessment; parsing and semantically aligning the collected raw multimodal data to obtain parsed and semantically aligned multimodal data; and storing the parsed and semantically aligned multimodal data in a database table format. The memory may include internal memory, such as a high-speed random access memory (RAM), or non-volatile memory, such as at least one disk drive. The processor, network interface, and memory are interconnected via an internal bus, which may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (ESIA) bus, or the like. The bus may be classified as an address bus, a data bus, or a control bus. The memory is used to store programs. Specifically, the programs may include program code, which includes computer operating instructions. The memory may include both internal memory and non-volatile memory, and provides instructions and data to the processor.

[0092] Example 5

[0093] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the multimodal data collection method for life cycle assessment, for example, including: collecting original multimodal data for life cycle assessment; parsing and semantically aligning the collected original multimodal data to obtain parsed and semantically aligned multimodal data; and storing the parsed and semantically aligned multimodal data in a database table format. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory and / or cache memory, etc. The non-volatile memory may include read-only memory, hard disk, flash memory, optical disk, magnetic disk, etc.

[0094] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0095] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0096] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0097] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0098] Those skilled in the art will readily identify other embodiments of the present invention after considering the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

[0099] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

[0100] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent structural change made to the above embodiment based on the technical essence of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A multimodal data collection method for life cycle assessment, characterized in that: include: Collecting original multimodal data for life cycle assessment; Parsing and semantically aligning the collected original multimodal data to obtain parsed and semantically aligned multimodal data; The parsed and semantically aligned multimodal data is stored in a database table format.

2. The multimodal data collection method for life cycle assessment according to claim 1, characterized in that: The process of collecting raw multimodal data for life cycle assessment is as follows: Obtain the target LCA domain and product scope, and determine the LCA data collection scope and objectives based on the target LCA domain and product scope; Based on the LCA data collection scope and objectives, use large model technology to obtain public data sources; The unstructured data in the public data source is parsed to form original multimodal data.

3. The multimodal data collection method for life cycle assessment according to claim 2, characterized in that: The process of parsing the unstructured data in the public data source to form original multimodal data is as follows: The unstructured data in the public data source is parsed using a large model to form original multimodal data.

4. The multimodal data collection method for life cycle assessment according to claim 1, characterized in that: The process of parsing and semantically aligning the collected original multimodal data to obtain the parsed and semantically aligned multimodal data is as follows: Cleaning and formatting the original multimodal data; Use a large model to parse and semantically align the cleaned and format-converted multimodal data to obtain parsed and semantically aligned multimodal data.

5. The multimodal data collection method for life cycle assessment according to claim 1, characterized in that: Also includes: Build an API interface for LCA tools to call the multimodal data.

6. A multimodal data acquisition system for life cycle assessment, characterized in that: include: Acquisition module, used to collect raw multimodal data for life cycle assessment; An alignment module is used to parse and semantically align the collected original multimodal data to obtain the parsed and semantically aligned multimodal data; The storage module is used to store the parsed and semantically aligned multimodal data in a database table format.

7. The multimodal data acquisition system for life cycle assessment according to claim 6, characterized in that: The acquisition module includes: A first acquisition unit is configured to acquire a target LCA domain and product range, and determine an LCA data collection scope and target based on the target LCA domain and product range; The second acquisition unit is used to obtain public data sources using large model technology according to the LCA data collection scope and objectives; A parsing unit is used to parse the unstructured data in the public data source to form original multimodal data.

8. The multimodal data acquisition system for life cycle assessment according to claim 6, characterized in that: The alignment module includes: a conversion unit, configured to clean and format-convert the original multimodal data; The alignment unit is used to use a large model to parse and semantically align the cleaned and format-converted multimodal data to obtain the parsed and semantically aligned multimodal data.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the multimodal data collection method for life cycle assessment according to any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the multimodal data collection method for life cycle assessment according to any one of claims 1 to 5 are implemented.

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