Blasting Sequence
Manage blast sequencing and timing through cloud platforms like Orica BlastIQ or Deswik.Blast, which centralize blast data and enforce design rules.
Eigenform AI Geo Tooltips: Page 7
Building AI Soft-Sensor Models for Flotation Performance
Build a flotation soft sensor: keep JKSimFloat or METSIM for design, then train an ML model on live plant data to predict recovery, grade and throughput.
Chemical Analysis
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.
Clay/Geomet Model
Clay mineral prediction with AI: scan core with Corescan or HyLogger, automate first-pass logging with CSIRO's MyLogger and feed the geomet block model.
Core Photography
Automated core photography from Corescan, Datarock or Minalyze gives AI fracture, lithology and mineral tools the consistent images they depend on.
Core Scanning
Core scanning with HyLogger 4, Corescan HCI-3 or Minalyze MCore maps mineralogy and alteration along the full drill core, ready for AI models and logging.
Crushing
Crusher optimization with closed-loop AI: Imubit uses reinforcement learning to tune setpoints on live plant data, versus model-based ABB Ability.
Density Test
Rock density prediction with AI: train a regression model on XRF, hyperspectral and hardness proxy data instead of running a physical test on every sample.
Design of Hydrogeologic Monitoring System
Design hydrogeologic monitoring around a wireless telemetry platform like Worldsensing or RST Instruments so AI anomaly detection can run on the data later.
Dispatch and Control Room
Mine dispatch optimization with AI mostly means adding an AI add-on, such as Modular Mining's Adaptive Config, to the fleet management system you run.