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    Tonly green mining trucks 2026: haulage design and fleet notes for mine planners

    June 26, 2026|

    Reviewed by Tom Sullivan

    First reported on International Mining – News

    30 Second Briefing

    Tonly Heavy Industries used its 2026 Overseas Customer Festival to showcase new “green” mining trucks aimed at low‑carbon, intelligent and unmanned haulage under China’s dual‑carbon policy. The line-up centres on electric and hybrid haul trucks designed for large open‑pit operations, with integrated autonomy-ready control systems and digital fleet management interfaces for remote dispatch. For mine planners and operators, the focus is on cutting diesel consumption and emissions while preparing haulage fleets for progressive automation and centralised control.

    Technical Brief

    • Tonly framed the trucks within China’s “dual carbon” policy constraints and global mining restructuring pressures.
    • Product development is explicitly targeted at greening, intelligence, low‑carbon operation and full unmanned haulage capability.
    • The 2026 Overseas Customer Festival functioned as a live equipment showcase for overseas mining clients.

    Our Take

    Our database notes that Shaanxi Tonly Heavy Industries is credited with inventing the wide body mining truck, so positioning its 2026 ‘green’ models suggests it is trying to defend that niche as Western miners and OEMs pivot to low‑emission haulage fleets.

    The Boliden ‘green fleets’ piece in our coverage shows European copper, nickel and zinc operators actively trialling low‑carbon trucks, indicating that Tonly’s 2026 customer festival is likely aimed at convincing such Tier‑1 buyers that Chinese wide body platforms can meet emerging ESG and decarbonisation standards.

    With over 2,300 sustainability‑tagged items in our database, Tonly’s 2026 event sits in a crowded narrative where OEMs must now demonstrate not just lower emissions but also whole‑of‑life cost and productivity gains to win mine haulage tenders.

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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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