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AI Autopilot — +6% de débit et $781K de gain de profit annuel lors d'un pilote contrôlé de 25 jours. Brasil Mineral #441 (juil. 2024).Voir les résultats des pilotes
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Mining · Concentration

Flotation — AI-driven recovery optimization

Continuous tuning of collector dosage, frother rate, pH, air flow, and froth depth across rougher / scavenger / cleaner circuits. AI balances recovery vs concentrate grade non-linearly, accounting for ore mineralogy and mill p80 upstream.

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Aperçu

Flotation turns a blend of minerals into saleable concentrate. The process is extraordinarily non-linear: the same collector dose at a different pH with slightly coarser feed can swing recovery by 5-10 percentage points. And reagents are expensive — every over-dose is cash on the floor.

Conventional control tracks two or three variables at a time. A plant may have fifteen that matter. Operator intuition — hard-won across years — becomes the ceiling, not the floor, of performance.

BrainiAll AI Autopilot reads the whole circuit state every few seconds — froth camera imagery, reagent flows, level sensors, airflow, pH, assays — and issues recommended setpoints that move the circuit toward the recovery-grade frontier. Over time, the system learns the mineralogy of your specific ore body and anticipates regime shifts before assays arrive.

↑ recoveryWithout grade drop
↓ reagentCollector + frother cost per ton
↓ varianceShift-to-shift grade variability
< 6 moTypical payback period

Ce que fait Autopilot

Contrôle continu multivariable — pas un PID mono-boucle. L'architecture en couche de supervision préserve la sécurité.

Froth visual analysis

Computer vision processes froth-cam streams to infer bubble size, color, velocity, and stability — proxies for recovery and grade.

Reagent dose optimization

Continuous tuning of collector, frother, depressant, and activator flows. Cuts reagent over-dosing while protecting recovery.

Rougher / scavenger / cleaner coordination

AI coordinates across the full cleaning circuit — not each cell in isolation. A change in rougher pull affects cleaner mass; AI anticipates the chain.

Mineralogy-aware adaptation

Learns how your specific ore body floats. Copper porphyry behaves differently than a VMS deposit; the AI captures the distinction.

Grade prediction ahead of assays

Soft sensors estimate concentrate grade in near real-time from froth features and circuit state — adjustments happen before the lab reports.

Variables ajustées en continu

L'IA lit chaque capteur du circuit et calcule en temps réel la combinaison optimale de consignes.

  • Collector dosage (g/t)Xanthate / dithiophosphate families for sulfides. AI minimizes dose at target recovery.
  • Frother rate (ppm)MIBC or pine oil. Controls bubble size distribution; critical for froth stability.
  • pH / lime additionSelectivity driver. Copper flotation typically pH 10.5-11.5; lead 9-10; moly 10-11.
  • Airflow (Nm³/h) & JGSuperficial gas velocity. Too low starves kinetics; too high entrains gangue.
  • Pulp level / froth depthDirect lever on mass pull. AI varies deeper cleaner froth to lift grade at constant recovery.
Analyse de rentabilité

Flotation ROI is driven by two levers: recovery uplift and reagent reduction. A single percentage point of recovery in a 50,000 t/y copper concentrator is worth roughly $4-6M per year at current copper prices. AI optimization routinely unlocks 0.5-2 percentage points while simultaneously cutting collector and frother consumption by 5-15% — a double-win for margin and ESG.

S'intègre à vos systèmes de contrôle existants

SiemensABBHoneywellRockwellEmersonMetso OutotecFLSmidth

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