化工行业多源异构碳数据集构建方法解析

Analysis of the Construction Method of Multi-Source Heterogeneous Carbon Datasets in the Chemical Industry

摘要: 在碳达峰碳中和战略驱动下，化工企业需要通过精准的碳排放数据分析制定减排路径，但当前企业面临数据孤岛、质量缺陷及时效性不足等问题。现有研究虽在多源数据融合算法、工业大数据平台等方面取得进展，但针对化工行业全流程碳数据的融合能力不足，且缺乏对供应链环节的覆盖。本文创造性地构建了一套适配化工行业的多源异构碳数据集的分层架构，通过整合生产、能源消耗及供应链全流程数据，同时考虑数据可得性、准确性、时效性和可操作性。

Abstract: Driven by the dual carbon Strategy, chemical enterprises need to formulate emission-reduction pathways through precise carbon-emission data analysis. However, current enterprises are facing with problems such as data silos, quality defects and inadequate timeliness. Although existing studies have made progress in multi-source data fusion algorithms, industrial big data platforms and other aspects, they are insufficient in the fusion capability of full-process carbon data in the chemical industry and lack coverage of the supply chain links. This paper creatively constructs a hierarchical architecture of multi-source heterogeneous carbon data sets adapted to the chemical industry. It integrates full-process data of production, energy consumption and supply chain, while considering data availability, accuracy, timeliness, and operability.