TY - GEN
T1 - Artificial intelligence services in steel production - On premises and in the cloud
AU - Strasser, Sonja
AU - Hohenbichler, Gerald
AU - Sattler, Manuel
AU - Krahwinkler, Petra
AU - Reidetschlaeger, Johann
N1 - Publisher Copyright:
© 2020 by the Association for Iron & Steel Technology.
PY - 2020
Y1 - 2020
N2 - Physics-based metallurgical models have been used for decades in the steel industry. Advanced methods of machine learning and data sciences allow combining the strength of pure data models and proven physics models and exploiting their benefits. Expert know-how in steel is being integrated with data science expertise to provide the next level of digital services for the metals industry. This paper focuses on practical examples how to use artificial intelligence in steel production to gain deeper insight, develop new control schemes, find root causes, improve deviation forecasting, and to optimize operations, quality results and predictive maintenance.
AB - Physics-based metallurgical models have been used for decades in the steel industry. Advanced methods of machine learning and data sciences allow combining the strength of pure data models and proven physics models and exploiting their benefits. Expert know-how in steel is being integrated with data science expertise to provide the next level of digital services for the metals industry. This paper focuses on practical examples how to use artificial intelligence in steel production to gain deeper insight, develop new control schemes, find root causes, improve deviation forecasting, and to optimize operations, quality results and predictive maintenance.
KW - Artifical Intelligence
KW - Cloud-based services
KW - Predictive maintenance
KW - Process control
KW - Process optimization
UR - https://www.scopus.com/pages/publications/85092307957
U2 - 10.33313/380/209
DO - 10.33313/380/209
M3 - Conference contribution
AN - SCOPUS:85092307957
T3 - AISTech - Iron and Steel Technology Conference Proceedings
SP - 1936
EP - 1944
BT - Proceedings of the Iron and Steel Technology Conference, AISTech 2020
PB - Iron and Steel Society
T2 - AISTech 2020 Iron and Steel Technology Conference
Y2 - 31 August 2020 through 3 September 2020
ER -