2023 年 63 巻 1 号 p. 54-62
A huge amount of real time data of blast furnace process and quality are getting captured and analyzed for an in-depth understanding of phenomena resulting in better control and improved performance. This paper describes how process visualization and diagnostic models are helping to generate additional insights and becoming useful tool for identification of factors for process efficiency improvement. These tools are important enabler for faster process performance diagnosis and for early indicator of performance deterioration. In earlier paper of this journal, few models and their usage in process analysis were discussed and, in this document, additional diagnostic tools viz. burden descent index, sounding ore by coke etc. are explained.10)
