From reactive to predictive mining safety: data and sensing priorities for engineers
Reviewed by Joe Ashwell

First reported on Australian Mining
30 Second Briefing
Mining safety specialist David Coghlan, head of technology and product at TURCK, argues that connected sensing and control must shift mines from reactive alarms to predictive intervention as fleets, conveyors and fixed plant become more automated. He points to integrated proximity detection, real-time location and condition monitoring on mobile equipment, tied into site-wide networks, as the basis for predicting collision and entrapment risks rather than just logging incidents. For geotechnical and operations teams, this means designing safety systems around data quality, latency and interoperability, not just compliance with existing guarding and lock-out procedures.
Technical Brief
- For similar mines, the key shift is specifying safety systems around data architecture and time-to-intervention, not just hardware.
Our Take
In our database of 1318 Mining stories, safety-tagged pieces linked to Australian operations increasingly reference integrated digital ecosystems, aligning TURCK’s identification focus with the AI, automation and connected data themes flagged in the 27 August 2026 Australian Mining digitalisation article.
The move from reactive to predictive safety in Australia by companies like TURCK sits alongside dust and emissions control work by Nederman MikroPul (9 August 2026 article), suggesting mine operators are starting to treat sensing, identification and environmental controls as a single risk-management stack rather than separate compliance boxes.
With 2026 framed as a reference year for mining safety and the Australian Mining Prospect Awards highlighting mine safety categories, operators adopting advanced identification systems from vendors such as TURCK are likely positioning themselves for both regulatory scrutiny and industry recognition in the near term.
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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