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    Martin Engineering N2 ACI system: control and reliability notes for kiln engineers

    June 18, 2026|

    Reviewed by Tom Sullivan

    Martin Engineering N2 ACI system: control and reliability notes for kiln engineers

    First reported on International Mining – News

    30 Second Briefing

    Martin Engineering has introduced the N2 Air Cannon Intelligence (ACI) System, turning conventional air cannons in cement kilns and other high-temperature process lines into monitored, connected assets. Wireless N2 sensors mounted on each cannon feed real-time pressure, firing and cycle data to a central gateway, allowing operators to detect misfires, blocked valves and suboptimal firing sequences without manual inspection. For materials handling and process engineers, this enables tighter control of build-up removal on preheaters, riser ducts and clinker coolers, reducing unplanned shutdowns and compressed air waste.

    Technical Brief

    • Similar sensorisation of other pneumatic and hydraulic devices is likely as plants digitise critical safety functions.

    Our Take

    Martin Engineering’s move to make air cannons intelligent and connected sits alongside its conveyor-focused R&D and planned CONEXPO-CON/AGG 2026 launches, signalling a broader push to turn bulk-handling hardware into monitored, data-rich assets rather than static components.

    Across our Materials coverage, Martin Engineering appears repeatedly in safety-tagged pieces on dust, carryback and transfer-point design, so embedding sensing into air cannons is likely aimed at quantifying and reducing blockage- and buildup-related risk rather than just improving uptime.

    The earlier acquisition of Australian conveyor specialist ConveyorTech Pty Ltd (CVT) suggests Martin Engineering is building an integrated portfolio where smart air cannons, belt cleaners and liners can be engineered as a single flow-assurance and safety system around chutes and transfer points.

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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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