MINING TRUCKS
solutions , is the higher degree of interoperability observed in the Mobius solution . “ The Mobius software platform enables integration at multiple points in its technology stack . First , is the integration with third party fleet management systems ( FMS ) such as Wenco , currently operating at Roy Hill . One of ASI Mining ’ s value propositions is clearly to enable mine operations the flexibility to retain their legacy FMS . Considering the cost , training , and optimisation efforts that go into FMS deployments , this flexibility to retain and integrate FMS compared with having to replace with the FMS based on AHS compatibility , can be a significant consideration .”
Furthermore , ASI Mining ’ s modular approach and integration points enable interoperability on the truck side as well . For instance , ASI Mining announced in 2017 , an interface with Liebherr haul trucks , enabling autonomous ready haul trucks , compatible with Mobius , right off the line . ASI Mining has provided a means for other truck OEMs to integrate with their system on the truck side , contingent upon the truck OEM and ASI Mining agreeing on a common interface .
Lastly , today ’ s surface mine operations tend to focus automation efforts in one of three areas , 1 ) truck automation , 2 ) drill automation , 3 ) teleremote operation of ancillary vehicles . While there are advantages for starting automation projects in any of these three areas , most operations tend to think of these projects as distinct and separate isolated solutions . Given that Mobius is an OEM agnostic automation platform for various mining applications , it becomes possible to integrate various autonomous mining solutions into a single common automation platform .
xtonomy and autonomy everywhere xtonomy offers an OEM-agnostic and interoperable solution that enables customers to automate their vehicles in rough , indoor-outdoor environments through their robust radar-first approach leveraging true autonomy , V2X , AI task planning and ML perception technologies . After years of development its Autonomous Haulage System ( AHS ) for trucks is transitioning to full production and currently being rolled out to several applications .
The xtonomy AHS is designed for smaller truck fleets that may be fully orchestrated by the excavator or loader operator . Although the autonomous trucks automatically follow the excavator position on the bench and adapt queuing position , cusp point and loading position automatically , the operator may adapt all points to facilitate the process if needed .
No additional personnel is required to supervise the fleet as all underlying processes are fully automated . The system is highly adaptive for different mine sites and everchanging mine conditions both in unstructured dynamic sites ( like construction sites or small quarries ) as well as in large road networks . It is well-proven to work on pre-mapped paths ( like ramps ), but also in very unstructured environments , where loading , driveability , loading area , etc . are constantly changing . By using robust radar onboard mapping and object detection to continuously perceive the environment and with motion planners that freely plan the best routes and dynamically react to changes . Furthermore , it handles the interaction of multiple trucks in such unstructured environments . This is only possible through a very high degree of autonomy at highest system levels .
A simplified route editor allows for setting of certain strategic waypoints along the route if required . Besides that , the trucks will always plan an optimal path even if loading and dumping positions change completely .
Several safety layers guarantee a safe operation with safe radio comms , high-precision GPS , radar and Ultra-Wideband ( UWB ) localisation . Manned machines may be integrated into the ecosystem for safe interaction in complex scenarios . Furthermore , the xtonomy autonomy system does not require uninterrupted coverage of high-bandwidth comms throughout the mine-site . This dramatically reduces the system implementation effort . IM