About the article
M.Yu. RYABCHIKOV, Cand. Sc., E.S. RYABCHIKOVA, Cand. Sc., E.S. MUKHINA, Senior Lecturer, M.A. TARASOV, Student
The work is aimed at improving the existing methods for predicting tuyere burnout using a well-known technological parameter characterizing the drop in cooling water flow at the tuyere inlet and outlet. A distinctive feature of the proposed system is a two-level forecast in the form of an alert and a burnout warning. The forecast is based on an automated analysis of the retrospective data on the statistical properties of the drop in the cooling water flow rate. The paper gives examples of the changes dynamics in the difference of the of cooling water flow rate on the tuyere prior and directly during the burnout. We presented the structure of the alert system and examples of its operation in cases of gradual and avalanche-like development of the burnout.
tuyere burnout, blast furnace, forecast, dispatch control, processing of retrospective data