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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Optimization of ferroalloy consumption

Optimization of ferroalloy consumption

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Mercado de Ribeira, Av. 24 de Julho 1o andar, 1200-479 Lisboa, Portugal
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