Availability of large amounts of data from connected processes and breakthrough innovations in computing tools create exciting opportunities for applications of Artificial Intelligence (AI) in Steel Industry. Data-driven predictive analytics and Machine Learning (ML) are already playing a significant role in shaping the Intelligent Plant of the future. Combining long-standing process expertise with a modern digital infrastructure, Danieli Automation has included AI as a strategic asset in DIGI&MET smart factory model. As illustrated through the paper, business benefits guaranteed from this model are already clear from the operational feedback of several real-life experiences from steelmaking to rolling and finishing lines.

Successful use case applications of artificial intelligence in the steel industry

Villagrossi E;
2019

Abstract

Availability of large amounts of data from connected processes and breakthrough innovations in computing tools create exciting opportunities for applications of Artificial Intelligence (AI) in Steel Industry. Data-driven predictive analytics and Machine Learning (ML) are already playing a significant role in shaping the Intelligent Plant of the future. Combining long-standing process expertise with a modern digital infrastructure, Danieli Automation has included AI as a strategic asset in DIGI&MET smart factory model. As illustrated through the paper, business benefits guaranteed from this model are already clear from the operational feedback of several real-life experiences from steelmaking to rolling and finishing lines.
2019
artificial intelligence
machine vision
deep learning
defects detection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/425646
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