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Mining & Metallurgy • MN-03

Cargo Volume Recognition

Measure what is actually in the tray, load by load.

Scope

What the engagement covers.

Payload assumptions hide both underloading and overloading. Volume recognition measures each load so productivity, tyre life and haulage cost rest on measured rather than nominal payload.

Included capabilities

  • Load volume measurement per cycle using scanning or vision
  • Underload and overload detection with operator feedback
  • Payload variance analysis by operator, shovel and material type
  • Reconciliation against weighbridge and plant receipts
  • Material type classification where volume and density differ

Outputs and deliverables

  • Measurement installation and calibration records
  • Per-cycle payload dataset with equipment attribution
  • Variance analysis by operator, shovel and material
  • Reconciliation reporting against weighbridge
Workflow

How it is delivered, step by step.

Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.

01InstallScanning or camera units at loading exit or haul route points.
02CalibrateAgainst weighbridge and survey data across material types.
03MeasurePer-cycle volume with automatic equipment identification.
04Feed backOperator and shovel-level variance reporting.
05ReconcileTie measured loads to plant receipts and stockpile movements.
Use cases

Where this is typically applied.

Use case 01

Fleets with suspected chronic underloading

Use case 02

Operations with tyre failures linked to overloading

Use case 03

Sites reconciling pit output against plant feed

Delivery model

The operating pattern for Mining & Metallurgy.

The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.

Survey
Fleet, fuel flow, network coverage, loss points and current dispatch practice.
Instrument
On-board units, sensors, tags, LiDAR and camera installation.
Calibrate
Baseline consumption, cycle times, volumes and alert thresholds.
Operate
Dispatch centre, driver feedback loops, investigation and reporting routines.
Optimize
Continuous tuning against production, cost and safety targets.

Integration

  • Fleet management, weighbridge and laboratory systems for reconciliation.
  • ERP and fuel procurement for cost and inventory alignment.
  • Mine planning and survey data for haul route and grade context.
  • Access control and HR systems for shift, competency and permit checks.

Engagement approach

Fuel, cycle time and safety losses are quantified before deployment, and the same measures are the acceptance criteria after go-live, so value is settled on evidence rather than opinion.