Problems

Prediction of silicon content after blast furnace treatment

Objective: increase and stabilise the quality of cast iron

Large gaps between tests for Si content

Si content value falls out of optimal range (0.4-0.5%)

Lower quality and consistency in cast iron products

Application:
Virtual Sensor for Si Content

Solution

Issues high risk warning when Si content diverges from optimal range and provides analytics on dashboards

Integrated with APC to collect and aggregate data for current and historical data visualisation and real-time indicator for silicon content

Application: Virtual Sensor for Si Content
Data: Temp of cast iron, component (Fe, C, Si, P, S, Mn, etc) ratios, oxide %, slag Ph, load of raw materials and fuel, furnace parameters, etc.

Result

+1.2%

Top-grade output

Industrial AI for metals & mining
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