Milling

The ore milling process is crucial as it determines the quality of the material for subsequent processing and affects the overall processing efficiency of the plant. The challenge in managing the milling process lies in the variability of the incoming ore. AI enables forecasting the course of the process and controlling technological parameters for its optimization.

Objectives

Predicting the state of mill parameters in the future
Alerting about deviations beyond acceptable ranges
Increasing processing efficiency by selecting optimal control parameters: ore feed, water supply, grinding bodies

Solution

Stand-alone module of the Ditwinx platform

Capabilities

Integration with existing systems
Automatic or advisory control modes
Interactive dashboard for process visualization

Impact

Increase in processing by 1-3%
Stabilization of processes
Increase in lining service life

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Coke production

Coke production