Mining smarter with AI and data: edge network design notes for engineers
Reviewed by Joe Ashwell

First reported on Australian Mining
30 Second Briefing
Australian miners are hitting a data wall as high‑bandwidth sensors, autonomous fleets and video streams overwhelm traditional cloud links, pushing operations towards private LTE networks and on‑site edge computing. Vendors such as Vocus are pairing Starlink Business Rural satellite backhaul with 4G/5G private LTE to keep haul trucks, crushers and fixed plant connected in real time, even on remote pits and waste dumps. For engineers, this shift means designing networks and control systems around low‑latency, on‑site processing for fleet dispatch, collision avoidance and condition monitoring rather than centralised data centres.
Technical Brief
- Private LTE cells are dimensioned to maintain connectivity across moving haul roads and expanding pit geometries.
- Network design must handle bursty telemetry from autonomous trucks, fixed plant PLCs and high-definition video feeds.
- Edge nodes on site are configured to run mine-specific applications, not just generic caching or routing functions.
- For other mines, a similar hybrid satellite–private LTE architecture can decouple operational technology from corporate IT networks.
Our Take
Vocus appears in very few of the 1047 Mining stories in our database, suggesting its push into AI-enabled data and connectivity for Australian operations is still at an early, differentiating stage compared with traditional OEMs and miners.
The related November 2025 piece on excavator-mounted satellite terminals from Vocus indicates a strategic focus on edge connectivity at the dig face, which is a prerequisite for deploying real-time AI analytics in highly mobile pit environments across Australia.
Among the 1596 AI- or artificial intelligence-tagged mining items, most focus on processing or planning software rather than network infrastructure, so Vocus’ role positions it more as an enabling layer that other AI products for Australian mines will depend on for reliable data flow.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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