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AI Autopilot — +6% throughput in a 25-day AI-versus-manual test at Mineração Aurizona (CMOC Group) — published in Brasil Mineral #441.See Cases
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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

Overview

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
AdaptiveCSS and feed-rate coordination

What Autopilot does

Continuous, multi-variable control — not single-loop PID. Advisory-layer architecture keeps safety untouched.

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 against wear drift in two modes: advisory setpoint recommendations, or closed loop within agreed limits where one click returns control to the operator.

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.

Variables continuously tuned

The AI reads every sensor on the circuit and solves the optimal setpoint combination in real time.

  • 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 improves grinding efficiency and protects downstream throughput.

Integrates with your existing control systems

Metso OutotecSandvikFLSmidthSiemensABBRockwell

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See what AI Autopilot can unlock in your plant

A paid engagement, delivered as consulting or as the first stage of a project: under NDA, we study your process data and deliver a prioritised opportunity map and a measurement plan for a controlled AI-versus-manual test.

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