数字孪生技术在高炉冶金中的应用研究

Research on the Application of Digital Twin Technology in Blast Furnace Metallurgy

摘要: 针对高炉冶金过程“黑箱特性显著、数据孤岛突出、操作依赖经验”等行业痛点，系统阐述数字孪生技术在高炉冶金领域的应用框架与核心价值。为全面了解数字孪生技术在高炉冶炼方面的相关研究和应用热点，从整个结构设计流程的角度总结当前数字孪生技术在数据采集储存、工业建模、数据驱动3个阶段的研究现状。通过梳理完整的技术路线，详细分析几何建模、仿真建模、业务建模及数据科学建模的具体实现方式，结合设备在线巡检、智能预警、工艺优化、模拟培训四大核心功能模块，验证技术应用成效。本文基于鞍钢朝阳钢铁、太钢等企业的实践案例，得出数字孪生系统可实现高炉生产实体与数字虚体的精准映射，助力钢铁企业提高产能、实现降本增效。同时企业实现炉况诊断自动化、操作标准化，为钢铁行业高炉工序数字化转型提供可复制的技术方案。

Abstract: Aimed at the industry pain points in the blast furnace metallurgical process, such as “significant black-box characteristics, prominent data silos, and experience-dependent operations”, this paper systematically expounded the application framework and core value of digital twin technology in the field of blast furnace metallurgy. To gain a comprehensive understanding of the relevant research and application hotspots of digital twin technology in blast furnace smelting, the current research status of digital twin technology in the three stages of data collection and storage, industrial modeling, and data-driven was summarized from the perspective of the entire structural design process. By sorting out the complete technical route, the specific implementation methods of geometric modeling, simulation modeling, business modeling, and data science modeling were analyzed in detail. Combined with the four core functional modules of equipment online inspection, intelligent early warning, process optimization, and simulation training, the effect of technology application was verified. Based on the practical cases of enterprises such as Angang Chaoyang Iron and Steel and TISCO (Taiyuan Iron and Steel Co., Ltd.), this paper concluded that the digital twin system could realize the accurate mapping between the physical entity of blast furnace production and the digital virtual entity, helping iron and steel enterprises increase production capacity and achieve cost reduction and efficiency improvement. At the same time, enterprises had realized the automation of furnace condition diagnosis and the standardization of operations, providing a replicable technical solution for the digital transformation of the blast furnace process in the iron and steel industry.