2021 Nashville AISTech

Ladle Hot Spot Detection — A Novel and Robust Approach to Eliminate False Positives in Infrared Thermal Image Analysis (Room 205 A)

29 Jun 21
10:30 AM - 11:00 AM

Tracks: Oxygen Steelmaking: Improving Performance & Control

Speaker(s): Javier Barreiro, Project Manager, ANT Automation LLC; Miguel Simiand, ANT Automation; Ignacio Salinas, ANT Automation

Refractory-lined ladles are used in the steel shop. The refractory lining gets degraded over time and produces excessive temperature in the outer shell. Infrared cameras are used to detect high temperatures and alert abnormal conditions. Different situations can generate high temperatures on the ladle surface not necessarily related to refractory degradation such as spills or splashes, which triggers false notifications. False alarms can reduce staff alertness and real situations can go unnoticed. This approach performs a novel space-temporal temperature analysis of the ladle surface to classify the events into categories using an artificial intelligence model trained with previous measurements.