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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 · Drill & Blast

Blasting — AI-optimized blast design & fragmentation

AI Autopilot tunes hole pattern, stemming, powder factor and delay timing against geology and downstream processing targets. Better fragmentation means less oversize, faster dig rates and lower kWh/t at the primary crusher.

Évaluation gratuite
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Aperçu

Blasting sets the entire mine-to-mill chain in motion. Oversize boulders become problems at the primary crusher; fines steal recovery at leaching. The blast is the only step where the entire downstream p80 distribution is practically determined.

Traditional blast design relies on templates and a senior blaster's intuition. That is a 10-year mental model being applied to ore that is increasingly heterogeneous as mines get deeper and lower grade.

BrainiAll AI Autopilot ingests borehole MWD data, geological models, prior blast performance, and measured post-blast fragmentation. It proposes hole spacing, burden, stemming height, powder factor and initiation sequence that produce the target fragmentation envelope for what the plant wants downstream.

-15-35%Oversize events reduction
↑ dig rateExcavator productivity
↓ kWh/tPrimary crusher energy
CompliancePPV / dBL within permit

Ce que fait Autopilot

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

Geology-aware blast design

MWD data + block models guide hole pattern per rock domain — not one-size-fits-all.

Fragmentation control

Post-blast fragmentation imagery trains the model to hit downstream p80 with every shot.

Vibration & air-blast limits

Enforces PPV and dBL constraints near sensitive receptors — regulator-ready records.

Powder factor optimization

Minimum explosives for target fragmentation — less cost and less backbreak.

Initiation sequence

Inter-hole and inter-row delays tuned to direction of throw and bench geometry.

Variables ajustées en continu

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

  • Spacing × burden (m)Primary geometric levers.
  • Stemming lengthEnergy confinement.
  • Powder factor (kg/m³)Energy per unit volume.
  • Delay timing (ms)Shot-to-shot shaping.
  • Initiation pointControls rock throw direction.
Analyse de rentabilité

Fragmentation done right pays everywhere downstream: faster dig, smaller primary feed, lower grinding energy per ton, and better flotation recovery. A 10% reduction in oversize events at primary crushing can unlock 2-4% sitewide throughput uplift with zero capex.

S'intègre à vos systèmes de contrôle existants

OricaDyno NobelEnaexMineSightLeicaHexagon Mining

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Voyez ce qu'AI Autopilot peut débloquer dans votre usine

Évaluation gratuite des goulots d'étranglement — nos ingénieurs analysent vos données d'usine et livrent un rapport factuel en 10 jours ouvrés. Sans engagement, sans frais.

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