2010 Volume 50 Issue 7 Pages 1010-1015
Real time data warehousing, process visualization and data based modeling are the basis of any diagnosis carried out in iron making area of Tata Steel. Large volume of data generated during the making of coke, sinter and iron are being archived along with quality and performance data in a central data repository. These data is being constantly used by analyst to diagnose process disturbances and also to optimize various process and consumption parameters. To squeeze out greater level of information from the data, various process models are constantly being developed. These models are of various types. Few are based on simple mass balance where as others are empirical or statistical diagnostic model based on on-line measurements. Some are visualization models where large numbers of data are organized and given a form which can be better visualized by the analyst. Some of such models developed for in-depth analysis of blast furnace like ‘cohesive zone model,’ ‘hearth liquid level monitoring’ etc. are described in this paper. Mainly the brief development process and applications in process analysis of each models have been described here.
