Connected mining team reviewing operational intelligence

Production Monitoring

Productivity

Overview

Edge IoT & AI enables production monitoring for load and haul fleets, conveyor systems, and mining locomotives, delivering real-time performance tracking, utilization insights, and improved operational throughput.

Mining operations frequently struggle to achieve consistent production targets due to limited real-time visibility of equipment utilization, bottlenecks, and downtime across key material movement systems. Without accurate production monitoring, supervisors rely on delayed reporting and incomplete operational data. Edge IoT & AI delivers production monitoring for load and haul fleets, conveyor belts, and mining locomotives, enabling performance tracking across underground and surface operations.

The solution integrates relevant field hardware and operational data streams into Delve for underground production environments and Kuchera for surface and material handling operations. Customers gain live visibility of throughput, cycle performance, delays, and utilization trends that support short interval control. Production monitoring helps identify constraints early, improve dispatch coordination, and strengthen accountability across shifts. To improve production control and performance visibility at your site, book a consultation with Edge IoT & AI.

Key capabilities

  • Load and haul fleets
  • Conveyor belts
  • Mining locomotives
  • Live throughput, cycle performance, delays, and utilization
  • Supports short interval control
  • Delve (underground) and Kuchera (surface)
Mining production monitoring dashboard

Our Solutions

Fuel monitoring system on mining equipment

Cost Control

Fuel Monitoring

Tracks refueling and consumption with geo-location, timing, duration, and volume per event.

Mining vehicle tyre monitoring sensor

Cost Control

Tyre Monitoring

Pressure and temperature measured in real time to reduce failures and extend tyre lifespan.

Machine health sensors on fixed mining plant

Reliability

Machine Health Monitoring

Sensor data on fixed plant and mobile machinery to detect early faults and reduce downtime.

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