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Industries

Mining

A mining machine standing idle costs several times its servicing. Fleet availability is the indicator that weighs most heavily on cost per tonne.

Stakes

What weighs on the trade

  • Availability of the machine fleet
  • Location and assignment of mobile assets
  • Environmental conditions and worker safety
  • Tracking of production and material movements

Critical operations

What must not stop

  • Extraction and material movements
  • Maintenance of machines and installations
  • Fuel and consumables management
  • Safety and environmental monitoring
  • Production reporting

Why digitalise

What technology changes here

Tying each machine's real running hours to its maintenance turns a calendar plan into a usage-based one. Unnecessary servicing disappears and more failures are caught in advance.

What can be automated

  • Reading of hours and cycles per machine
  • Servicing triggered by real usage
  • Fuel consumption tracked per machine
  • Alerts on environmental conditions
  • Consolidation of production reports

Capabilities

What we put in place

Software

  • CMMS suited to heavy machinery
  • Mobile asset tracking and assignment
  • Management of parts and consumables stock
  • Production and material-movement tracking
  • Availability and cost dashboards

Data

  • Availability rate by machine and by category
  • Maintenance cost per running hour
  • Fuel consumption per machine and per task
  • Production relative to the resources committed

IoT

  • Geolocation and tracking of machines and assets
  • Hour and cycle counters
  • Vibration and temperature measurement on critical components
  • Air quality and dust monitoring
  • Presence detection in hazardous areas

Artificial intelligence

  • Anticipation of failures from vibration signals
  • Optimisation of machine assignment
  • Detection of consumption deviations

Integrations

  • Weighing and counting systems
  • ERP for purchasing and stock
  • HSE management systems

Security

  • Strictly controlled access to positions and production data
  • A unique identity per on-board unit
  • Continuity of collection outside network coverage
  • Logging of interventions and access

Our approach

A typical path in this sector

  1. Priority fleet

    Identifying the machines whose downtime costs the most.

  2. Instrumentation

    On-board units and sensors fitted to that fleet, validated in real conditions.

  3. Usage-based maintenance

    Switching from a calendar plan to one based on real hours.

  4. Extension

    Rollout and integration into production management.

Africa Tech Services

A project in the Mining sector?

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