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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 2
SUMMARY:The role of artificial intelligence in digital transformation of the steel industry
DESCRIPTION:Artificial Intelligence (AI) is a key enabler for amplifying return on investment for digital technologies. There are many examples of big data, cloud platforms and data integration investments in the steel industry though much fewer for intelligent applications that convert this data into value. The complex nature of operations in a steel plant along with unavailability of large historical data pose a significant challenge to deploying artificial intelligence projects.

This paper details several applications of AI in steel manufacturing for operational excellence, process performance and reliability improvement. 

The first application concerns improvement of manual and complex operation of the steelmaking shop using data from all meltshop processes, ladles, cranes etc. to build a machine learning model that predicts temperature losses for heats. It then prescribes the lifting temperature to the ladle furnace operator resulting in better superheat compliance, thus improving average caster speed and reducing energy input at ladle furnace. 

The second application uses data-based models to predict and control process performance by utilizing the well-known Model Predictive Control framework. This kind of application works in a closed loop with the automation system, correcting PID setpoints towards a more profitable operating range. These applications work well for slower and continuous processes such as those in pellet or sinter plant, grinding, reheat furnaces etc. 

The third application relates to how reliability can be improved by combining asset and process information. It’s applied in downstream rolling processes to analyze coil and process data in different phases, make correlations and label the operations data, and then use this labeled data to make predictive models. Some of these models are also prescriptive, providing the operator with exact action needed to avoid an anomalous situation.

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DTSTART:20230614T120000
DTEND:20230614T122000
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