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    Hawk Senator H80 Radar Series: level control gains for mining process engineers

    June 29, 2026|

    Reviewed by Tom Sullivan

    Hawk Senator H80 Radar Series: level control gains for mining process engineers

    First reported on International Mining – News

    30 Second Briefing

    Hawk Measurement Systems has launched the Senator H80 Radar Series, an 80 GHz FMCW radar level transmitter range targeting liquid, slurry and bulk solids measurement in mining and process plants. The high-frequency 80 GHz signal improves resolution and narrow beam focusing, allowing reliable level measurement in tall, narrow vessels, dusty silos and agitated slurry tanks where 6–26 GHz radars often struggle. For operators, the series offers a single radar platform that can standardise level control across thickeners, sumps, reagent tanks and ore bins, simplifying spares and calibration practice.

    Technical Brief

    • Senator H80 units use FMCW radar, enabling continuous level tracking rather than pulsed snapshots.
    • High dynamic range electronics allow measurement on low-dielectric media such as hydrocarbon froths and light oils.
    • Compact antenna options suit retrofit into existing process nozzles without major vessel modifications.
    • Non-contact measurement avoids wear and build-up issues common with ultrasonic or mechanical level devices in slurries.
    • Electronics are designed for harsh mining environments, with dust, vibration and temperature cycling explicitly targeted.
    • Standardising on one radar platform can simplify instrument spares strategies and reduce calibration training overheads.

    Our Take

    Our coverage of similar high-frequency radar products shows they are frequently adopted first in tailings, thickener and reagent storage duties before being rolled out to ROM bins and stockpiles, suggesting HAWK may gain early traction for the Senator H80 series in process-critical liquid and slurry circuits before wider solids applications are proven on site.

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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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