Endpoint Prediction Technology of BOF Based on Flame Information
(Room 318)
16 May 16
9:30 AM
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10:00 AM
Tracks:
Energy, Sensors I
Flame information is connected directly with the carbon content and temperature in the converter. Endpoint prediction technology of BOF, which is based on photo-electricity technology, machine vision and metallurgic theory, gathers the light intensity and flame images on-line and predicts the carbon content and temperature of the converter. The experiments indicated that, when the carbon content is less than 0.15%, and the control requirement is ±0.02%, the hit rate is more than 90%; when the temperature control requirement is ±15°C, the hit rate is more than 90%. The technology is good for improving steel quality and quantity.