Abstract
The application of industry 4.0 guidelines is also an integral part of the life of ISD Dunaferr Zrt. Working closely with technology professionals, we have created a data analysis system that processes data from continuous steel casting. The life cycle of slabs can be traced in a complex way from raw steel production to the end of hot rolling. In an industrial environment, the program provides an opportunity to study the effects on slabs (e.g. change in casting speed, change in mould level, change in the position of tundish stopper rod (TSR), etc.). The results provided by the system are suitable for both qualifications made by experts and automatic one during the visual inspection using the web display system. In this paper, we examined the correlation between the slabs burdened with known significant changes in casting parameters in the cast sequence and the slabs with significant changes classified by the data processing system to verify the reliability of the data analysis system. The results confirmed the reliability of the data analysis system and pointed to the greater reliability of the study of cast length-based changes versus time-based changes.
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