Solutions
Autonomous Screening
Every screen at peak efficiency, every bin in balance
Interactive plant schematic
Explore the flowsheet — click a highlighted area to open its technology page.
Technologies
Neural Screenhouse Control
Runs the whole screenhouse at its optimum — neural discharge models with genetic-algorithm and reinforcement-learning control select screens, balance bin levels and schedule the shuttle conveyor.
Learn more →
Neural Screen Discharge Model
Cuts screen downtime and keeps feeders optimally paced — neural models predict individual screen discharge rates and split ratios, enabling closed-loop feeder-speed control and proactive maintenance.
Learn more →
Screen Efficiency Model
Minimises fines contamination and keeps screens optimally loaded — neural prediction of separation efficiency from feed size, mesh and operating parameters enables dynamic real-time screen control.
Learn more →Autonomous Mine Intelligence
A plant-level optimiser for Screening
Your operators shouldn’t have to trial-and-error the plant to its sweet spot. Above the screening control loops, a governed Layer-3 process supervisor continuously moves the plant’s high-level setpoints — searching for better operating points while a Layer-2 neural model-predictive layer models the process response. It runs in closed loop within operator-approved boundaries, measures what actually happened, and learns which moves improve performance.
Setpoints it moves
- Plant feed rate
- Number of screens in service
- Feeder speeds
- Shuttle distribution across bins
Optimisation objectives
- Maximise throughput at target efficiency
- Even bin loading & discharge
- Minimise screen start/stop cycles
- Reduce fines-to-oversize contamination