The iSteel-Expert project pioneers an advanced computer vision and machine learning framework for monitoring and analysis of Electric Arc Furnace (EAF) operations within steel plants. Co funded with the European Research Fund for Coal and Steel (RFCS) G.A. 101112102, the project's core mission is to develop a remote expert virtual system that enhances operator situational awareness, preserves...
The steel industry's transition toward intelligent manufacturing requires sophisticated monitoring systems capable of detecting operational anomalies in real-time. This study presents the development and implementation of Artificial Intelligence-based predictive models for automated anomaly detection in Electric Arc Furnace operations, conducted within the project entitled “Remote expert...
Training Electric Arc Furnace operators requires time, controlled conditions, and supervised exposure to plant operations. Many critical events cannot or should not be observed during live training because they carry safety risks or depend on rare process conditions. Simulation based training addresses this gap by reproducing the operational environment without exposing personnel or equipment...
Abstract:
The growing digitalization of Electric Arc Furnace (EAF) steelmaking demands a workforce capable of operating increasingly complex and highly automated plants. Traditional training methods—shadowing, manuals, and classroom-based onboarding—are no longer sufficient to ensure consistent operational performance, safety, and rapid adaptation to new technologies. Within the EU...
The collaboration between Tenova and Polytec at ORI Martin’s Electric Arc Furnace (EAF) facility represents a major advancement in the use of robotics and intelligent monitoring in steelmaking. At the core of the project is the PolySAMPLE robotic solution — a 6-axis industrial robot with heavy-duty protection and tool-changing capability — designed to automate critical EAF operations such as...
Power-off time (POFF) is a key driver in electric arc furnace (EAF) steelmaking for productivity, energy efficiency, operation costs, and CO₂ performance.
Consequently, Badische focuses on the human and organizational dimension of POFF reduction. Top equipment can only bring financial benefits when it is operated and maintained well in the long run. Improving maintenance strategies,...