EACON autonomy on Lovol BEV and KNOW-HOW methanol fleets: control insights for mine engineers
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
EACON has deployed its ORCASTRA autonomous haulage system on new mixed-energy truck fleets in Xinjiang, integrating Lovol battery electric trucks and KNOW-HOW methanol-fuelled units into a single control platform. The project extends ORCASTRA beyond its earlier work with Tonly, LGMG, Yutong and XCMG fleets, showing the system can manage different OEM interfaces and powertrains in the same pit. For mine operators, the key technical shift is autonomy software proven on both high-voltage BEV haul trucks and alternative-fuel ICE platforms without separate control stacks.
Technical Brief
- EACON’s autonomy layer abstracts truck brand differences, allowing common perception, localisation and path-planning algorithms across OEMs.
- System architecture supports heterogeneous sensor suites, normalising inputs from differing camera, radar and LiDAR configurations.
- Unified control reduces need for separate tele-remote centres, simplifying network, server and edge-compute infrastructure in-pit.
- For other mining sites, a single autonomy stack across multiple OEMs could materially cut retrofit complexity.
Our Take
EACON’s deployment on Lovol and KNOW-HOW fleets in Xinjiang comes shortly after its autonomous AT-150 truck entered operation at SPIC’s South coal mine in Inner Mongolia, signalling that Chinese operators are now testing its autonomy stack across both conventional coal and new-energy truck platforms.
With EACON Group recently raising around HK$2.3 billion via its Hong Kong listing, the Xinjiang roll-out looks like an early example of that capital being used to scale deployments beyond flagship sites and into mixed OEM environments that include Lovol, Tonly, LGMG, Yutong and XCMG fleets.
Our database shows EACON appearing in multiple autonomy case studies from coal in China to gold in Western Australia, so the Xinjiang battery-electric and methanol trucks further underline its strategy of proving the same control system across very different regulatory regimes and mine power setups.
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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