AI-Optimized Blast Design and Execution
Blast design optimization with AI: feed drone bench surveys and past blasts into Strayos or O-Pitblast, then run the design in the field with Orica BlastIQ.
Blast design optimization with AI: feed drone bench surveys and past blasts into Strayos or O-Pitblast, then run the design in the field with Orica BlastIQ.
Ore blending optimization with AI: layer MineMax or Deswik Blend, BOLT and GO on your systems to set stockpile, plant feed and blend targets continuously.
AI blasthole logging today mostly means AI-driven drilling: Hexagon Drill Assist sets drill parameters automatically from live rig-sensor data as it drills.
Manage blast sequencing and timing through cloud platforms like Orica BlastIQ or Deswik.Blast, which centralize blast data and enforce design rules.
On-stream analysis puts an XRF or XRD slurry analyzer in the concentrate stream, so grade data updates continuously and feeds real-time AI process control.
Crusher optimization with closed-loop AI: Imubit uses reinforcement learning to tune setpoints on live plant data, versus model-based ABB Ability.
Geometallurgical reconciliation with AI feeds actual mill results back into Work Index and geomet block models, as Tropicana Gold Mine does near real time.
Grinding circuit optimization with AI: closed-loop platforms like ABB Ability Expert Optimizer or Imubit learn your mill and adjust setpoints live.
Run long-term mine planning through Maptek Evolution, which evaluates many scheduling scenarios in parallel and improves them using evolutionary search.
Turn the periodic mill survey into a continuous one: log circuit data in a plant historian, then apply industrial-AI analytics for real-time mass balance.