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    MyEasyAction QME 2026 asset tracking: control and data lessons for mine engineers

    July 21, 2026|

    Reviewed by Joe Ashwell

    MyEasyAction QME 2026 asset tracking: control and data lessons for mine engineers

    First reported on Australian Mining

    30 Second Briefing

    MyEasyAction will use QME 2026 to demonstrate a real-time asset tracking and enterprise architecture platform aimed at tightening operational control and accountability on mining sites. The system links field assets and workflows into a single digital environment to improve “digital discipline”, with live status visibility intended to reduce unplanned downtime and coordination gaps between mobile plant, fixed infrastructure and maintenance teams. For geotechnical and processing operations, the approach targets more reliable data capture across dispersed equipment, supporting traceable decisions on asset condition and utilisation.

    Technical Brief

    • Platform is presented as an “enterprise architecture” layer, integrating disparate mine-site systems into one governed model.
    • MyEasyAction targets heavy industry fleets and fixed plant, not just office IT assets.
    • Emphasis on codifying “digital discipline” suggests formalised workflows, permissions and audit trails around asset interactions.
    • Real-time tracking is framed around both location and operational state, supporting condition-based intervention rather than time-based.
    • Service offering extends beyond software to implementation support, indicating structured change-management for site adoption.

    Our Take

    Within our 1240 Mining stories, Australia is one of the most frequent settings for Product/Projects-tagged coverage, signalling that platforms like MyEasyAction’s are entering a relatively mature but crowded technology market for local mine operators.

    Heavy-haul rail and bulk haulage work such as Martinus’ expansion projects rely on accurate location and utilisation data for mobile fleets; showcasing at QME 2026 positions MyEasyAction to target these large infrastructure interfaces as much as traditional pit and plant assets.

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    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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