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OEM-Agnostic Mining Machine and Fleet Automation

by Epiroc

The automation control stack coordinates individual or multiple machines.

Epiroc
Industry
Industrial & ManufacturingMiningHeavy Industries
Use cases
Equipment ControlProcess AutomationFleet Optimization
Deployment
Public SaaS
Services
InstallationSystem IntegrationSupport & MaintenanceData AnalyticsSoftware Platform
Available in
Sweden
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The challenge

What operators are up against

Operators responsible for surface and underground mining machines, loaders, haul trucks, drill rigs, operators, haul routes, work zones, and control rooms cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.

The solution

How OEM-Agnostic Mining Machine and Fleet Automation addresses it

OEM-Agnostic Mining Machine and Fleet Automation combines connected field data with application software. The system captures machine state, location, route, task, obstacle, operator command, interlock, production cycle, and fleet-coordination status. The automation control stack coordinates individual or multiple machines, validates safe operating conditions, and manages autonomous movement and tasks. Remove operators from hazardous zones, remotely operate equipment, coordinate multiple machines, automate haul cycles, and recover interrupted production.

How it works

Teams configure the monitored assets, users, and operating rules. The system captures machine state, location, route, task, obstacle, operator command, interlock, production cycle, and fleet-coordination status. Field components exchange records with the application through the vendor-supported path; the exact public network transport is not specified. The automation control stack coordinates individual or multiple machines, validates safe operating conditions, and manages autonomous movement and tasks. Remove operators from hazardous zones, remotely operate equipment, coordinate multiple machines, automate haul cycles, and recover interrupted production.

AnalyzePublic SaaS platform
ActInstallation, System Integration, Support & Maintenance, Data Analytics, Software Platform

Vendor documentation: link 1 · vendor website

Evidence level: L3 · Case-documented: how evidence levels work

Why teams choose it

Location and asset data

The system captures machine state, location, route, task, obstacle, operator command, interlock, production cycle, and fleet-coordination status

Supported data exchange

Field components exchange records with the application through the vendor-supported path; the exact public network transport is not specified

Operational analytics

The automation control stack coordinates individual or multiple machines, validates safe operating conditions, and manages autonomous movement and tasks

Workflow coordination

Remove operators from hazardous zones, remotely operate equipment, coordinate multiple machines, automate haul cycles, and recover interrupted production

Deployment context

Designed for surface and underground mines, quarries, tunneling operations, and mining contractors automating mixed fleets or individual high-risk machines

Role-based visibility

Authorized users can review current status, history, and operating exceptions

What’s different

Attributes fewer than 20% of comparable Industrial & Manufacturing listings share:

Fleet Optimization

Prerequisites

Limitations / not covered

Documented deployments

Vendor-reported10,000–12,000 t more material than forecast in a month

10,000–12,000 tonnes above forecast with autonomous loaders

Minterra runs three underground loaders across 14 locations from a surface control room.

Underground mining contractor · Big Bell, Western Australia, Australia · Three autonomous loaders operating across 14 underground locations
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