基于区块链的物流碳足迹溯源平台研究

Research on Blockchain-Based Logistics Carbon Footprint Traceability

摘要: 随着绿色物流目标的推进，当前物流行业在碳数据溯源及碳交易过程中面临多方协调不一致、数据安全风险、信息单一及应用场景复杂等挑战。本文提出了一种基于区块链技术的物流碳足迹溯源平台方案，旨在克服碳排放数据管理和交易中的难题。研究首先分析区块链在数据溯源中的应用现状，提出并验证了碳足迹计算公式，从平台架构设计、数据存储机制到碳足迹的精确计算与溯源进行了深入探讨。通过仿真实验对碳排放计算公式进行验证，评估其在实际业务场景中的准确性与应用效果，从而确保平台在实际操作中的可靠性。仿真结果表明，平台能够有效实现物流碳排放的动态计算与精确管理，推动绿色物流发展，促进碳减排和可持续发展目标的实现。

Abstract: As the goal of green logistics advances, the logistics industry faces challenges in carbon data traceability and carbon trading, such as inconsistencies in multi-party coordination, data security risks, limited information sources, and complex real-world applications. This paper proposes a blockchain-based logistics carbon footprint traceability platform to address these challenges in carbon emission data management and trading. The study begins with an analysis of the current applications of blockchain in data traceability, proposing and validating a carbon footprint calculation formula. It further explores the platform’s architectural design, data storage mechanisms, and methods for precise carbon footprint calculation and traceability. By building a highly reliable carbon footprint traceability platform, this research aims to promote the development of green logistics, facilitate carbon reduction initiatives, and achieve sustainable development goals (SDGs).