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Mining · Tailings & Water

Thickening & tailings management

AI-controlled thickener underflow density, flocculant dosing, rake torque, and bed depth — plus water recovery planning across the tailings circuit to improve operational consistency and cut fresh-water draw.

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Industrial thickener tank in a modern mineral processing plant

Overview

Tailings has moved from an afterthought to a board-level risk. Brumadinho and other failures shifted regulator posture permanently. Meanwhile water is a production constraint in most major orebodies, and every ton of tailings carries residual chemistry.

Conventional thickener control leaves money on every rake revolution: flocculant is over-dosed to protect against upset; underflow density is kept conservative to avoid rake torque spikes; supernatant clarity is compromised when feed rate shifts.

Brainiall AI Autopilot ties the whole tailings circuit together — thickener bed level, rake torque, underflow pump speed, flocculant flow, and overflow turbidity — and holds it in the sweet spot. Water recovery climbs, flocculant consumption drops, and the deposit area receives underflow at a more predictable density.

10-25%Flocculant reduction potential
↑ waterRecovery / reclaim performance
↓ upsetFewer rake-locking incidents
AuditTraceable logs for GISTM alignment

What Autopilot does

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

Flocculant dose optimization

Cuts over-dosing by 10-25% while keeping overflow clarity within spec.

Rake torque protection

Predictive torque control prevents rake-locking events and unplanned lifts.

Underflow density maximization

Pushes solids % to target while keeping torque and clarity in safe envelope.

Water-balance forecasting

Coordinates reclaim pumping with plant demand to minimize make-up water draw.

Tailings deposition planning

AI forecasts daily tons to deposit and flags operational variances before they happen.

Variables continuously tuned

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

  • Flocculant flow (g/t)Primary reagent lever.
  • Underflow density (% solids)Target vs rake torque safety.
  • Bed depth (m)Controls residence time and clarity.
  • Rake torque (kNm)Safety-critical metric monitored in real time.
  • Overflow turbidity (NTU)Quality of recovered water.
Business case

On a 50 Mt/y tailings stream, a 15% flocculant reduction can translate to several million dollars per year in reagent savings, plus major upside from fresh-water avoidance. Beyond cash: audit-ready logs and explainability materially reduce regulatory and reputational risk.

Integrates with your existing control systems

FLSmidthMetso OutotecWesTechSiemensABBRockwell

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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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