Electrode consumption determination using machine learning (ML) data processing from thermographic monitoring
SYSTEM OPERATING PRINCIPLE
The system automatically identifies melting regime violations based on data regarding electrode consumption, current, and process control system parameters, which allows for preventing failures, improving metal quality, saving resources, and reducing energy costs.
Furnace video monitoring
Specialized cameras provide continuous monitoring of electrode condition and the melting process.
Imaging during lift
A series of images is taken at the moment the electrodes are lifted.
ML parameter analysis
The system analyzes the images using ML, determining electrode parameters.
Consumption calculation by difference
The resulting value is compared with the previous one, and the difference determines the electrode consumption.
