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Mining · Comminution

Crushing — AI for primary, secondary and tertiary stages

AI Autopilot coordinates crusher feed, CSS (closed-side setting), gap, and circulating load across jaw, cone, and gyratory crushers — smoothing downstream p80 before grinding even starts.

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Primary gyratory crusher receiving ore from a haul truck

Überblick

Crushing is the first comminution step and sets the tone for every stage that follows. Oversize from the primary to the secondary blocks the chute; undersize in the tertiary wastes cone capacity. Both cost dollars and hours the plant will never recover.

Static CSS settings and manual adjustments cannot keep up with ore variability. A single boulder surge, a wear-in shift, or a change in blast fragmentation can push the whole downstream circuit out of balance in minutes.

BrainiAll AI Autopilot reads live feed-size distribution (camera-based), crusher power draw, bowl / mantle wear, and downstream level sensors. It adjusts CSS and feed rate in real time to hold product p80 inside tolerance while keeping the crusher in its most efficient torque window.

↑Stable downstream p80 → smoother grinding
↓Liner wear events and unplanned stops
↑Crusher utilization during peak hours
< 2 wksTypical time to production

Was Autopilot tut

Kontinuierliche, multivariable Regelung – kein Single-Loop-PID. Die Advisory-Layer-Architektur lässt die Sicherheitsebene unberührt.

Live feed-size analysis

Camera-based computer vision on the crusher feed belt. AI infers p80 and oversize fraction in real time.

Dynamic CSS control

Adjusts closed-side setting continuously to maintain product size against wear drift without operator intervention.

Liner wear prediction

Power-draw signatures reveal bowl / mantle wear profile — schedules replacement at planned shutdowns.

Choke feed protection

Maintains full crushing chamber without overload. AI anticipates blockages from slumps or wet ore.

Downstream coordination

Syncs feed rate with secondary / tertiary demand and stockpile level to avoid starvation and overflow.

Kontinuierlich angepasste Variablen

Die KI liest jeden Sensor im Stromkreis und berechnet die optimale Sollwertkombination in Echtzeit.

  • Feed rate (t/h)Primary lever; AI matches to crusher power.
  • CSS / gapControls product top-size. AI compensates wear.
  • Eccentric speed (RPM)Fine tuning for cone crushers.
  • Bowl position / hydraulic pressureLockable setting for cone liners.
  • Feed chute levelChoke-fed operation for better shape.
Business Case

Every percentage point of crusher oversize that escapes to grinding costs the mill disproportionately in energy and liner wear. Stabilizing feed-size distribution upstream typically delivers 2-4% throughput improvement at the grinding circuit with zero capex — a compounding ROI.

Lässt sich in Ihre bestehenden Steuerungssysteme integrieren

Metso OutotecSandvikFLSmidthSiemensABBRockwell

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