Life cycle evaluation missing data complementation method, system and device and medium

Abstract

The invention discloses a life cycle evaluation missing data completion method, system and device and a medium, and the method comprises the steps: defining a data template, and determining a target range of life cycle evaluation in the data template; obtaining input data, and filling the data template with the input data; determining missing data in the data template; according to the method, the system, the equipment and the medium, the missing data in the data template is predicted by utilizing the large model, the predicted missing data is written into the data template, and the missing data in life cycle evaluation can be complemented based on the large model.

Description

Technical Field

[0001] The present invention belongs to the technical field of life cycle assessment, and relates to a method, system, device and medium for completing missing data in life cycle assessment. Background Art

[0002] Life cycle assessment (LCA), as an important tool for evaluating the environmental impact of products or services throughout their life cycles, the integrity and accuracy of source data directly determine the reliability of the evaluation results. However, LCA often faces the following main challenges in practice:

[0003] Common missing data: In actual scenarios, for rich and complex data records, due to the heterogeneity and inadequacy of data sources, missing data often occurs.

[0004] Incomplete data leading to conclusion deviation: The existence of missing data has a significant impact on the comprehensiveness and accuracy of evaluation results.

[0005] Limited existing completion methods: Traditional data completion methods usually rely on simple information synthesis and statistical processing, are difficult to fully utilize the correlation and behavior characteristics in multi-source data, and cannot ensure the optimization of completion results.

[0006] Currently, natural language processing and deep learning programs based on large models can provide efficient and high-precision missing data completion, but there are still technical gaps in their implementation and quantification schemes. Summary of the Invention

[0007] The purpose of the present invention is to overcome the above-mentioned disadvantages of the existing technologies, and provide a method, system, device and medium for completing missing data in life cycle assessment, which can complete the missing data in life cycle assessment based on a large model.

[0008] To achieve the above purpose, the present invention discloses a method for completing missing data in life cycle assessment, including:

[0009] Defining a data template and determining the target scope of life cycle assessment in the data template;

[0010] Obtaining input data and filling the input data into the data template;

[0011] Determining the missing data in the data template;

[0012] Using a large model to predict the missing data in the data template and writing the predicted missing data into the data template.

[0013] The further improvement of the method for completing missing data in life cycle assessment according to the present invention lies in:

[0014] Further, the process of determining the target scope of life cycle assessment in the data template is as follows:

[0015] The life cycle is divided into several stages, and each stage includes several processes. Determine the types and amounts of materials required for each process and the types and amounts of energy consumption.

[0016] Further, the process of using the large model to predict the missing data in the data template is as follows:

[0017] Use the large model to retrieve the existing database, obtain the association relationships between stages, processes, and quantities of each data in the data template, and determine the association relationship between the existing data and the missing data in the data template;

[0018] Predict the missing data based on the association relationship between the existing data and the missing data in the data template.

[0019] Further, after writing the predicted missing data into the data template, it also includes:

[0020] Through the large model, cross-validate the data in the data template to judge the correctness of the written missing data.

[0021] Further, the life cycle assessment is the life cycle assessment of an electric vehicle, and the life cycle of the electric vehicle is divided into a raw material and battery production stage, a vehicle manufacturing stage, a use stage, and a scrap recycling stage.

[0022] The present invention discloses a system for completing missing data in life cycle assessment, including:

[0023] A definition module, used to define a data template and determine the target scope of life cycle assessment in the data template;

[0024] A filling module, used to obtain input data and fill the input data into the data template;

[0025] A determination module, used to determine the missing data in the data template;

[0026] A writing module, used to predict the missing data in the data template by using a large model and write the predicted missing data into the data template.

[0027] The further improvement of the system for completing missing data in life cycle assessment according to the present invention lies in:

[0028] Further, the writing module includes:

[0029] An acquisition module, used to retrieve the existing database by using a large model, obtain the association relationships between stages, processes, and quantities of each data in the data template, and determine the association relationship between the existing data and the missing data in the data template;

[0030] A prediction module, configured to predict missing data based on the correlation relationship between the existing data and the missing data in the data template.

[0031] Furthermore, it further includes:

[0032] A judgment module, configured to perform cross-verification on the data in the data template through a large model to judge the correctness of the written missing data.

[0033] The present invention discloses a computer device, including 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 method for completing missing data in life cycle assessment are implemented.

[0034] The present invention discloses a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method for completing missing data in life cycle assessment are implemented.

[0035] The present invention has the following beneficial effects:

[0036] When the method, system, device, and medium for completing missing data in life cycle assessment according to the present invention are specifically operated, a large model is used to predict the missing data in the data template to determine the missing data, complete the data required for life cycle assessment, improve the integrity and consistency of life cycle assessment data, ensure that the analysis results are more scientific and reliable, and in addition, reduce the workload of manual data processing and improve data processing efficiency. In addition, it should be noted that the present invention solves the technical problem of multi-source data fusion through intelligent completion by the large model and is applicable to LCA applications in multiple fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0038] Figure 1 is the flowchart of the method of the present invention;

[0039] Figure 2 is the schematic diagram of data completion;

[0040] Figure 3 is the system structure diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] In the description of the present invention, it should 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 their combinations.

[0043] It should also be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0044] It should be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. For example, A and / or B can represent three cases: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally represents an "or" relationship between the contextually related objects.

[0045] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present invention to describe preset ranges, etc., these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, without departing from the scope of the 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.

[0046] Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. Usually, the components described and shown in the accompanying drawings here 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 the selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0048] Various schematic structural diagrams according to the disclosed embodiments of the present invention are shown in the drawings. These figures are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the figures and their relative sizes and positional relationships are merely exemplary. In practice, there may be deviations due to manufacturing tolerances or technical limitations, and those skilled in the art can design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0049] As is well known, Life Cycle Assessment (LCA for short) is a tool for evaluating the environmental impacts of products, services, or activities throughout their entire life cycle. The following is a detailed elaboration of Life Cycle Assessment:

[0050] I. Definition and Origin

[0051] LCA originated from the tracking and quantitative analysis of the entire process of beverage containers from raw material extraction to final waste treatment commissioned by the Midwest Research Institute of the United States for Coca-Cola in 1969. It refers to the compilation and evaluation of inputs, outputs, and their potential environmental impacts in the life cycle of a product system. Currently, LCA has been incorporated into the ISO14000 environmental management series standards and has become an important support tool for environmental management and product design internationally.

[0052] II. Main Steps and Contents

[0053] LCA generally includes four main steps:

[0054] Determination of objectives and scope: Clearly define the evaluation objectives and scope, including determining the product or activity to be evaluated, the evaluation stage, the type of environmental impact to be evaluated, etc. This is the basis of LCA and determines the scope and depth of the evaluation.

[0055] Life Cycle Inventory (LCI): Quantify the environmental impacts of a product or activity at each stage of its life cycle. This includes collecting data throughout the life cycle, such as energy consumption, raw material use, waste generation, etc. LCI helps to understand the environmental impacts of a product or activity at each stage.

[0056] Life Cycle Impact Assessment (LCIA): Conduct an environmental impact assessment on the data obtained from the LCI. This includes assessing the types of environmental impacts (such as climate change, resource consumption, human health impacts, etc.) and the degree of environmental impacts. LCIA helps to gain a deeper understanding of the specific environmental impacts of a product or activity.

[0057] Result Interpretation and Optimization: Interpret the results of the impact assessment and propose improvement measures. This includes identifying environmental impact hotspots in the life cycle, analyzing the causes of the impacts, and proposing corresponding emission reduction measures. Result interpretation and optimization help enterprises reduce the environmental impacts of products or activities and achieve sustainable development.

[0058] III. Applications and Significance

[0059] LCA has extensive applications and important significance in multiple fields:

[0060] Product Design and Optimization: LCA helps enterprises consider environmental impacts during the product design stage, thereby optimizing product design and production processes. By identifying environmental impact hotspots of products, enterprises can take measures to reduce these impacts and achieve ecological design of products.

[0061] Supply Chain Management: LCA can evaluate the environmental impacts of each link in the supply chain, promoting enterprises to build green supply chains and improve resource utilization efficiency. By identifying environmental impact hotspots in the supply chain, enterprises can cooperate with suppliers to jointly take measures to reduce environmental impacts.

[0062] Environmental Policy Making: LCA provides a scientific basis for policy makers, helping to formulate regulations and policies to reduce environmental pollution and promote resource conservation. By evaluating the environmental impacts of different industries and products, policy makers can formulate targeted environmental policies.

[0063] Waste Management and Recycling: LCA studies the environmental impacts of waste treatment and recycling processes, providing decision-making support for achieving waste reduction and resource recovery. By evaluating the environmental impacts of different waste treatment methods, enterprises can choose more environmentally friendly waste treatment methods.

[0064] Enhancing Public Awareness: LCA also helps to raise the public's environmental awareness. By understanding the environmental impact of products, consumers can make more rational choices for environmentally friendly products, thus driving the market towards a more environmentally friendly direction.

[0065] Example 1

[0066] Reference Figure 1 , this example discloses a method for completing missing data in life cycle assessment, including the following steps:

[0067] 1) Define a data template and determine the target scope of life cycle assessment (LCA) in the data template;

[0068] The life cycle includes several stages, where each stage includes several processes, and each process involves several materials and energy consumptions. The amounts of materials involved in each process and the energy consumption are the data required by the data template. In addition, when the process generates direct carbon emissions, the direct carbon emission amount is also the data required by the data template. When defining the data template, for each input process, the corresponding data stored in the existing database retrieved by the large model and its associated other processes are filled into the data template.

[0069] Compare the input data with the data template, proofread and verify the data missing situation. When the data chain in the data template contains the abstract category of Process A, and there is no matching data entity in the existing data chain, then the data is missing.

[0070] 2) Prediction of missing data;

[0071] Retrieve the existing database through the large model to obtain the relationships between stages, processes, and quantities among the data in the data template. Based on the association between the existing data and the missing data, predict and infer the missing data.

[0072] Select the most suitable automated completion rule to ensure data rationality and consistency. For example, the obtained data includes: to produce 1 kg of A, 0.8 kg of B and 0.4 kg of C are required. In the simplest case, when the amount of A required to produce 1 electric vehicle is known, the amounts of B and C can be directly inferred. In a more complex case, the production relationship among the three is given in the data template, but the usage relationship is missing. Then, based on expert knowledge and using the principle of chemical equilibrium, the usage relationship among the three can be inferred first, and then their usage amounts can be inferred based on other existing data.

[0073] 3) Data verification and update;

[0074] After the completion of the completion, cross-check the data in the data template through the large model to ensure the correctness of the completed missing data.

[0075] Update and adjust according to the newly added data, and adapt it to the current scenario of LCA calculation to ensure the scenario adaptability of the system.

[0076] Embodiment 2

[0077] This embodiment is used for the life cycle assessment of electric vehicles. Specifically, in the life cycle assessment of electric vehicles, the full life cycle data of raw materials and battery production, vehicle manufacturing, use stage, and end-of-life recycling stage usually need to be considered. However, in actual operation, the following data are often missing:

[0078] a) Raw material production and battery manufacturing data;

[0079] Detailed data on the extraction and extraction processes of raw materials such as lithium and nickel.

[0080] Energy consumption and emission data during battery manufacturing.

[0081] b) Vehicle usage data;

[0082] Energy efficiency data under different driving modes, where the different driving modes at least include one of traffic jam mode, urban road mode, and highway mode.

[0083] Differences in charging energy structures in different regions.

[0084] c) End-of-life recycling stage data;

[0085] Battery recovery rate and environmental impact data during the recovery process.

[0086] To address the above problems of missing data, the method for filling in missing data in the life cycle assessment of the present invention includes the following steps:

[0087] 1) Input multi-modal data;

[0088] The multi-modal data at least includes one of relevant data in literature, laboratory reports, online databases, and other data sources.

[0089] 2) Model processing;

[0090] Extract the missing energy consumption and emission information from the multi-modal data through the natural language processing function based on the large model.

[0091] Embodiment 3

[0092] Reference Figure 3 , the system for filling in missing data in the life cycle assessment of the present invention includes:

[0093] A definition module for defining a data template and determining the target scope of the life cycle assessment in the data template;

[0094] A filling module, configured to obtain input data and fill the input data into a data template;

[0095] A determining module, configured to determine missing data in the data template;

[0096] A writing module, configured to use a large model to predict the missing data in the data template and write the predicted missing data into the data template;

[0097] A judging module, configured to perform cross-verification on the data in the data template through the large model to judge the correctness of the written missing data.

[0098] In this embodiment, the writing module includes:

[0099] An obtaining module, configured to use the large model to retrieve the existing database, obtain the association relationships of stages, processes, and quantities among the data in the data template, and determine the association relationship between the existing data and the missing data in the data template;

[0100] A prediction module, configured to predict the missing data according to the association relationship between the existing data and the missing data in the data template.

[0101] In this embodiment, the process of determining the target scope of life cycle assessment in the data template is as follows: The life cycle is divided into several stages, and each stage includes several processes. Determine the types and quantities of materials required for each process and the types and quantities of energy consumption.

[0102] In this embodiment, the life cycle assessment is the life cycle assessment of an electric vehicle. The life cycle of the electric vehicle is divided into a raw material and battery production stage, a vehicle manufacturing stage, a use stage, and a scrapping and recycling stage.

[0103] The division of modules in the embodiments of the present application is illustrative. It is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, the functional modules can be integrated in one processor, or can exist separately physically, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software function modules.

[0104] Embodiment 4

[0105] 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, the steps of the method for filling in missing data in life cycle assessment are implemented. For example, it includes: defining a data template and determining the target scope of life cycle assessment in the data template; obtaining input data and filling the input data into the data template; determining the missing data in the data template; using a large model to predict the missing data in the data template, writing the predicted missing data into the data template, and through the large model, cross-verifying the data in the data template to judge the correctness of the written missing data. Among them, the memory may include internal memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk memory, etc.; the processor, network interface, and memory are interconnected through an internal bus, and this internal bus can be an Industry Standard Architecture bus, a Peripheral Component Interconnect standard bus, an Extended Industry Standard Architecture bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program can include program code, and the program code includes computer operation instructions. The memory can include internal memory and non-volatile memory and provide instructions and data to the processor.

[0106] Embodiment Five

[0107] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the method for filling in missing data in life cycle assessment are implemented. For example, it includes: defining a data template and determining the target scope of life cycle assessment in the data template; obtaining input data and filling the input data into the data template; determining the missing data in the data template; using a large model to predict the missing data in the data template, writing the predicted missing data into the data template, and through the large model, cross-verifying the data in the data template to judge the correctness of the written missing data. Specifically, the computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disc, magnetic disk, etc.

[0108] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0109] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one or more of the processes Figure 1 or multiple processes and / or blocks

[0110] These computer program instructions can 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 generate a manufactured article including an instruction device, and the instruction device realizes the functions specified in Figure 1 one or more of the processes Figure 1 or multiple processes and / or blocks

[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one or more of the processes Figure 1 or multiple processes and / or blocks

[0112] After considering the specification and the disclosure of the invention, those skilled in the art will easily think of other embodiments of the present invention. The present application aims to cover any variations, uses, or adaptations of the present invention, and these variations, uses, or adaptations follow the general principles of the present invention and include the common general knowledge or conventional technical means in the technical field not disclosed in the present invention. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present invention are pointed out by the following claims.

[0113] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

[0114] The above are only preferred embodiments of the present invention and do not impose any limitation on the present invention. Any simple modifications, changes, and equivalent structural changes made to the above embodiments according to the technical essence of the present invention still fall within the scope of protection of the technical solutions of the present invention.

Claims

1. A method for completing missing data in life cycle assessment, characterized in that: include: Define the data template and determine the target scope of the life cycle assessment in the data template; Obtain input data, and fill the input data into a data template; Identify missing data in data templates; The large model is used to predict the missing data in the data template, and the predicted missing data is written into the data template.

2. The missing data completion method for life cycle assessment according to claim 1 is characterized in that: The process of determining the target scope of the life cycle assessment in the data template is as follows: The life cycle is divided into several stages, each stage includes several processes, and the type and amount of materials and the type and amount of energy consumption required by each process are determined.

3. The missing data completion method for life cycle assessment according to claim 1 is characterized in that: The process of using the large model to predict the missing data in the data template is as follows: Use the big model to search the existing database, obtain the relationship between the stages, processes and quantities of the data in the data template, and determine the relationship between the existing data and the missing data in the data template; According to the correlation between the existing data and the missing data in the data template, the missing data is predicted.

4. The method for completing missing data of life cycle assessment according to claim 1, characterized in that: After writing the predicted missing data into the data template, the following further comprises: Through the large model, the data in the data template is cross-validated to determine the correctness of the missing data written.

5. The method for completing missing data of life cycle assessment according to claim 1, characterized in that: The life cycle assessment is an electric vehicle life cycle assessment, and the electric vehicle life cycle is divided into raw material and battery production stage, vehicle manufacturing stage, use stage and scrapping and recycling stage.

6. A system for completing missing data in life cycle assessment, characterized in that: include: A definition module is used to define a data template and determine the target scope of the life cycle assessment in the data template; A filling module, used to obtain input data and fill the input data into the data template; A determination module, used for determining missing data in a data template; The writing module is used to predict the missing data in the data template using the large model and write the predicted missing data into the data template.

7. The missing data completion system for life cycle assessment according to claim 6 is characterized in that: The writing module comprises: The acquisition module is used to use the large model to search the existing database, obtain the relationship between the stages, processes and quantities of each data in the data template, and determine the relationship between the existing data and the missing data in the data template; The prediction module is used to predict the missing data based on the correlation between the existing data and the missing data in the data template.

8. The system for completing missing data of life cycle assessment according to claim 6, characterized in that: Also includes: The judgment module is used to cross-validate the data in the data template through the large model to determine the correctness of the missing data written.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for completing missing data of life cycle assessment as described in 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 method for completing missing data of life cycle assessment as described in any one of claims 1 to 5 are implemented.

Images