【摘要】 随着机器学习、深度学习和大模型技术的快速发展，智能化赋能钢铁绿色制造已成为研究热点。系统探讨借助数智化技术与炼钢流程工业场景深度融合，重点分析其在转炉、电炉、精炼和连铸等核心工序的应用现状，提出采用多模态感知预警，资源协同优化，数字孪生和全流程因果推理等前沿技术，实现炼钢流程的绿色低碳生产和智能高效协同的攻关方向。最后，探讨人工智能在炼钢-连铸区段中集成深度应用面临的挑战、大模型赋能绿色制造的潜在策略和未来展望，为智能化赋能钢铁绿色制造提供转型思路和理论支撑。更多还原

【Abstract】 With the rapid development of machine learning, deep learning, and large model technologies, the intelligent empowerment of green steel manufacturing has become a research hot spot. The deep integration of digital and intelligent technologies with steelmaking process industrial scenarios was systematically explored, the current applications in key processes such as converters, electric arc furnaces, refining, and continuous casting were analyzed, the cutting-edge technologies such as multimodal perception and early warning, resource collaborative optimization, digital twins, and full-process causal reasoning were proposed to achieve green and low-carbon production as well as intelligent, efficient collaboration in steelmaking process. Finally, the challenges faced by the integrated and in-depth application of artificial intelligence in steelmaking-continuous casting section, potential strategies for large models to empower green manufacturing, and future prospects were discussed, which provided transformation ideas and theoretical support for intelligent empowerment of green steel manufacturing.更多还原