用大模型自动链接产品组件与碳足迹数据库，提升环保评估效率
Entity Linking using LLMs for Automated Product Carbon Footprint Estimation
- 用大模型扩展物料清单组件信息，实现自动匹配碳足迹数据
- 减少人工处理成本，支持企业快速开展可持续性评估
- 适合制造业碳核算、绿色供应链管理等场景
气候变化与可持续发展日益受到关注，推动制造商采取行动降低碳足迹。实现这一目标的第一步是识别产品各组件的环境影响。本文提出一种利用大语言模型（LLMs）的系统，通过扩展制造商物料清单（BOM）中组件的信息，自动将这些组件映射到生命周期评估（LCA）数据库条目。该方法显著减少了人工数据处理需求，为更广泛的可持续实践提供了可行性支持。
原文摘要 · Abstract (English)
Growing concerns about climate change and sustainability are driving manufacturers to take significant steps toward reducing their carbon footprints. For these manufacturers, a first step towards this goal is to identify the environmental impact of the individual components of their products. We propose a system leveraging large language models (LLMs) to automatically map components from manufacturer Bills of Materials (BOMs) to Life Cycle Assessment (LCA) database entries by using LLMs to expand on available component information. Our approach reduces the need for manual data processing, paving the way for more accessible sustainability practices.
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