在全球低碳转型背景下，氢能产业已成为各国布局绿色经济的重点方向。本文结合大模型算法，设计一套氢能全产业链数字化风险管控方案。研究参考《中国氢能发展报告（2025）》等资料，梳理佛山制氢、储运、加氢、应用四大环节后发现，当地产业链协同管理存在数据割裂、风险预警滞后、跨区域协调机制缺失等问题。针对上述短板，本文搭建由数据资源层、大模型算力层、落地执行层组成的三层递进管控体系：制氢端推进低碳改造并研判供需变化；储运端搭建全天在线安全监测系统；加氢端对176座规划站点开展智能化布局；应用端落地六大赛道共21类示范场景。研究成果可为佛山打造零碳产业标杆城市提供理论支撑。

Amid the global transition to low-carbon energy, hydrogen has emerged as a critical focus for green economic development. This paper proposes a digital risk management framework for the entire hydrogen supply chain, leveraging large-scale modeling algorithms. Drawing on the China Hydrogen Energy Development Report (2025), the study analyzes four segments in Foshan: production, storage and transportation, refueling, and applications. It identifies key challenges, including data fragmentation, delayed risk warnings, and insufficient cross-regional coordination. To address these issues, a three-tier system is proposed, comprising data resources, model computation, and implementation layers. The framework incorporates measures such as low-carbon production processes, continuous safety monitoring, intelligent deployment of 176 refueling stations, and 21 demonstration scenarios. The findings provide valuable guidance for advancing Foshan’s zero-carbon industrial development.