Problem statement

  • The lining of furnances steel ladles "works" in extreme thermal and mechanical conditions. The risk of masonry burnout is high

  • The technical condition of the lining is assenssed by the personnel

  • Human error is a common cause of an accident


Consequences:

  • There are emergencies happens
  • The lining resource is not fully developed

Solution

  • Reduces the influence of the human factor

  • Gives an objective assessment of the technical condition

  • Helps in decision making

  • Generates the thermal profile of the object and detects anomalies

  • Performs scanning, analysis of the lining and the parameters affecting it and predicts the remaining life (wear condition prediction module)


Effects

Prevention of accidents and incidents
Reducing of unreasonable equipment downtime
Reduction of maintenance and repair costs
Improving industrial safety

Other Solutions

Camera-based control of ladle stirring

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Effects

  • Reduction of argon consumption
  • Reducing the electricity consumption
  • Increasing the production safety
  • Increasing the quality of the end product

Metal temperature prediction model for steel-pouring and tundish ladles

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Effects

  • Reduction of electrode and electric power supply consumption at the ladle furnace
CCM

Slag detection at BOF/EAF

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Effects

  • Reduction of the consumption of ferroalloys and deoxidizers
  • Reducing the duration of secondary treatment
  • Increasing the quality of metal
  • Reduction of electricity consumption