Soft Sensor for Blast Furnace Temperature Field Based on Digital Twin

The temperature field within a blast furnace plays a crucial role in the metallurgical industry, yet traditional methods often fall short in providing accurate and real-time representations. This article presents a novel approach for solving the temperature field based on digital twin technology. The method effectively utilizes the images of the tuyere vortex zone to calculate the blast furnace's temperature field in real time. By incorporating furnace top images and real-time production data to update the model, significant accuracy improvement is achieved. The results demonstrate that the innovative compensation model, integrating real-time data and image-based adjustments, achieves the temperature error percentages of 3% and 8% at the cross-shaped temperature measurement center and edge regions, respectively. This holds profound implications for practical applications, ensuring more effective control and optimization of the metallurgical process, thus bridging the gap between theoretical research and industrial applications.