Lack of Control Feedback per Unit Cell

Limited visibility on how different air flow rates influence the hydrodynamic operating regimes of their column cells.

Operators often don’t know how each of their flotation cells/columns are performing & contributing to the overall recoveries.

Real-time Virtual Sensors per Column Cell

Rapid implementation of a digital twin process for the Flotation circuit, involving the training of pre-built machine learning models.

Real-time Virtual Sensors for the gas hold-up, bubble size and surface area flux, and iron ore recovery in individual flotation cells.

The AI Optimizer’s ‘Value Driver’ was configured based on the client’s chosen ranges.