Productivity Improvement Blast Furnace Operations

Challenge

  • Complex and dynamic conditions with various parameters makes it difficult to detect hanging incidents in real-time
  • Difficult to monitor Silicon content of the molten iron which is an important indicator of the furnace temperature variations

Solution

  • ML based models to predict the deviations in the furnace operations – correlated with hanging
  • Predict silicon content in real time using the historical data

Result

  • 2-3% Increase in blast furnace productivity

 

  • ~ 450-600k Savings annually