在工业领域积极开展碳管理，是立足我国工业发展现状，面向高质量发展与新型工业化发展目标，践行绿色发展理念的必选项。然而，当前工业碳数据相对分散，缺乏统一标准，无法实现对生产和管理全范围能耗和碳排放、产品碳足迹的高效管理，碳减排目标管理、监督和预测预警等决策缺乏有效支撑。标识解析体系在整合处理产业链的复杂数据、打通数据孤岛、打消信息共享顾虑、构建数据资源池、保护关键数据等方面具有显著优势。针对当前数字化碳管理需求，本文分析梳理了碳监测、碳足迹分析、碳产品认证、碳资产管理和碳数据安全治理五种典型场景，为标识解析技术在碳管理领域的应用提供了思路。
Actively carrying out carbon management in the industrial field is a necessary option based on the current situation of China’s industrial development，facing the goals of high-quality development and new industrialization，and practicing the concept of green development. However，the current industrial carbon data is relatively scattered and lacks unified standards，making it impossible to efficiently manage the full range of energy consumption and carbon emissions in production and management，as well as the carbon footprint of products. There is a lack of effective support for decision-making such as carbon reduction target management，supervision，and prediction and warning. The identification analysis system has significant advantages in integrating and processing complex data in the industrial chain，bridging data silos，eliminating concerns about information sharing，building data resource pools，and protecting critical data. In response to the current demand for digital carbon management，This article analyzes and sorts out five typical scenarios：carbon monitoring，carbon footprint analysis，carbon product certification，carbon asset management，and carbon data security governance，providing ideas for the application of identification analysis technology in the field of carbon management.
