Advanced Data Mining for Process Optimizations and Use of AI to Predict Refractory Wear and to Analyze Refractory Behavior
(Room 207D)
09 May 17
11:30 AM
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12:00 PM
The full digitization of the industry promises significant efficiency gains. This development begins to materialize on the operation level in steel plants, when decisions are made based on traceable data. This paper presents an approach to discover patterns in big data sets and applying methods of artificial intelligence (AI) for interpretation. The paper will present the use of AI to identify the main refractory wear mechanism in the hot spots and to predict the refractory behavior for a full campaign. Further, we applied this intelligent system for process optimization. In addition, we calculated the optimal campaign length, considering production, maintenance and refractory parameters. The paper also examines and discusses the operational impact and future applications.