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    REMATRACK TTX conveyor monitoring: reliability and downtime lessons for mine engineers

    March 26, 2026|

    Reviewed by Tom Sullivan

    REMATRACK TTX conveyor monitoring: reliability and downtime lessons for mine engineers

    First reported on Australian Mining

    30 Second Briefing

    REMATRACK TTX conveyor monitoring from Rema Tip Top is being used to prevent unplanned stoppages and product loss on high-capacity belt lines by continuously tracking belt condition and loading. The system uses belt-mounted RFID tags and fixed readers to log individual product movements, detect mis-tracking and slippage, and trigger alarms before damage escalates to a full shutdown. For mine operators, this enables earlier intervention on idlers, skirting and splice issues, reducing downtime and protecting throughput on critical haul and process conveyors.

    Technical Brief

    • Time-stamped tag data is compared between readers to quantify localised speed variations and emerging slip zones.
    • Alarm thresholds are configured per zone, allowing different sensitivity around chutes, curves and high-wear sections.
    • Historical belt-segment histories support targeted shutdowns for splice repair or idler change-out instead of full-line stoppage.
    • Operators receive condition alerts via the plant control network, integrating with existing SCADA and maintenance systems.
    • For safety management, early identification of belt damage reduces risk of belt breakage and associated entanglement incidents.

    Our Take

    REMA TIP TOP’s REMATRACK TTX sits alongside its MCube CAM launch in our database, signalling a push to pair hardware condition monitoring with AI-enabled inspection tools for conveyor systems rather than relying on periodic manual checks.

    With Australian Mining also profiling MASPRO’s response to supply-chain-driven downtime and AMS’s structural testing work, this REMATRACK TTX case study fits a cluster of coverage focused on keeping Australian plants and conveyors running by attacking unplanned stoppages from multiple angles.

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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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