Intelligent Empowerment for Green Steel Manufacturing: Artificial Intelligence‐Driven Process Optimization

With the rapid development of machine learning, deep learning, and large model technologies, the intelligent empowerment of green steel manufacturing has become a research hotspot. This paper systematically explores the deep integration of digital and intelligent technologies with the steelmaking process industry, focusing on analyzing their current applications in core processes such as converters, electric arc furnaces, refining, and continuous casting. It proposes the adoption of cutting‐edge technologies such as multimodal perception and early warning, resource collaborative optimization, digital twins, and full‐process causal reasoning to achieve low‐carbon green production and intelligent, efficient collaboration in the steelmaking process. Finally, the article discusses the challenges of deep integration of artificial intelligence in the steelmaking‐continuous casting section, potential strategies for large models to empower green manufacturing, and future prospects, providing transformative ideas and theoretical support for the intelligent empowerment of green steel manufacturing.