Application of Big Data to Optimization of Blast Furnace Operation
(Room 405)
07 May 19
4:30 PM
-
5:00 PM
This paper applies big data technology to analyzing the relationship between raw materials, operation and conditions in the blast furnace. It employs the cluster analysis, principal component analysis, regression analysis and other big data analysis tools to search the influential rules of raw materials and operational factors onto conditions. It points out how to regulate and optimize blast furnace operations. Big data optimizing technology has been successfully applied to a blast furnace in a volume level of 5,000 m3 in China. It greatly helps the blast furnace out of difficulty and to perform with ideal production indices.