2021 Nashville AISTech

Artificial Intelligence and Data-Driven Modeling in Ironmaking – Potential and Limitations (Room Virtual)

The revival of artificial intelligence (AI) promises to offer solutions in particular for complex systems that are difficult to model with classical methods. An overview of AI solutions in ironmaking is provided and their strengths and weaknesses are discussed. Topics such as the applicability for typical problem groups, pre-conditions regarding required data quality and completeness of data sets, reliability, and combination with classical approaches are covered. Further, the deployment and integration of black box models into control systems and the related stability are discussed.