Abstract: This paper focuses on the innovative applications and development trends of digital twin technologies in the field of metallurgical engineering. As core components of Industry 4.0, digital twin demonstrates enormous application potential and broad prospects in the steel industry. Firstly, this paper reviews the definition, background, and core development technologies of digital twin technology, and expounds its significance in the metallurgical field. Secondly, based on the production process of the steel manufacturing system, it systematically combs the practical paths and application scenarios of digital twin technology in the metallurgical field. Finally, from a multi-dimensional perspective, it analyzes the technical bottlenecks in the industrial implementation process of steel digital twin, and based on the characteristics of the industry and technological development, prospects its future development direction. It is worth noticing that this article tracks the latest progress of cutting-edge technologies such as generative artificial intelligence algorithms, large language models, and intelligent agents, and analyzes the integration potential of such technologies with digital twin technology at different levels, providing a theoretical direction for the construction of the next-generation metallurgical digital twin system with intelligent cognition.