The tapping process of Basic Oxygen Furnace (BoF) in the steel industry has numerous bottlenecks and obstacles, including energy use, carbon emissions, constant equipment or technology updates, and labor-intensive processes. ITRI and China Steel Corporation developed the Digital Twin System for the Tapping Process (DiTwS-TP) solution specifically for improving the tapping process. This system utilizes six intelligence-base models that are based on prior experience, AI-module and simulation results. The main purpose of this system is to increase transparency in the tapping process and assist tapping operators in precisely controlling the process.

DiTwS-TP is software that accurately predicts the behavior of liquid steel. By simulating and monitoring production processes, it optimizes efficiency and minimizes costs. Its predictive capabilities enable preemptive optimization of turntable procedures, revolutionizing steel manufacturing with enhanced quality control. The taping process digital twin environment is a system that combines virtual and real-time simulation to provide a synchronized experience. Unlike the previous traditional manufacturing method, which had issues with labor consumption, difficulty in transferring experience, and probable manufacturing failures, this simulation system can be employed in the current system.

By building a digital twin model of the equipment, manufacturers can track its operating status in real time, collect various sensor data, and use artificial intelligence algorithms to predict faults and preventive maintenance, thereby reducing the equipment failure rate and increasing productivity. By using digital twins for simulation training and safety management, workers can gain a deeper understanding of production equipment and operating procedures, thereby improving workplace safety and efficiency.