LI Jingdong, WANG Xiaochen, WANG Xiangchen, YANG Quan, SUN Youzhao, WU Zedong, XIE Tianyi
Against the backdrop of advanced and intelligent manufacturing, the product structure of China’s cold-rolled strip industry is continuously upgrading, shifting from homogeneous competition dominated by general-purpose sheets toward a high-end pattern centered on advanced high-strength steels and premium coated sheets with higher added value. However, the control systems and their associated models, as the core support of cold rolling production, have long relied on imported technologies, leading to repeated introduction and poor adaptability, which makes it difficult to meet the requirements of high precision, high stability, and fast response under complex operating conditions. To address these challenges, a cross-process collaborative digital modeling and dynamic pre-control technology framework for cold-rolling quality was established. Relying on a cross-process metallurgical industrial internet platform, the framework enables data integration between cold rolling and its upstream and downstream processes, and introduces fusion and governance methods for multi-source heterogeneous data, thereby consolidating the data foundation for quality modeling and control optimization. Building on this foundation, hot rolling information was further utilized to develop head-tail trimming optimization and side scrap blockage pre-control strategies, enhancing feed-forward identification and dynamic intervention capabilities. Meanwhile, by combining hot rolling and cold rolling process parameters, an intelligent high-precision setup model for the cold-rolling process was developed to improve the accuracy and adaptability of rolling parameter setting. Finally, by integrating data-driven and mechanism-based modeling approaches, a quality prediction and multi-objective collaborative optimization strategy was proposed, enabling dynamic process regulation and continuous quality improvement under complex conditions. The above research provides systematic technical support for building an intelligent cold rolling quality control system with cross process perception and dynamic regulation capabilities.
