FLEET MANAGEMENT SYSTEMS
maintenance, telemetry, analytics and artificial intelligence.
By integrating complementary technologies within the Weir portfolio, the ecosystem aims to support mining companies throughout the entire mining lifecycle, from geological modelling and planning to real-time operational optimisation and performance monitoring.
One of the most recent developments within the Fast2Mine platform is the Dynamic Allocation System, designed to assist dispatch teams in managing haulage fleets under constantly changing operational conditions. The system evaluates operational parameters in real time, including queue conditions, shovel capacity and operational priorities, dynamically directing haul trucks to the most efficient loading points available. By continuously balancing the interaction between loading units and haulage equipment, the system contributes to improved fleet coordination and more stable production flows across the mine.
Operational implementations have demonstrated improvements in dispatch efficiency and greater stability in production flow, while reducing the need for manual adjustments in dispatch decisions.
The Fast2Mine MMS platform also includes an integrated dispatch functionality designed to manage loading, hauling and infrastructure activities across mining
40
MEI Conferences
PROCESS MINERALOGY‘ 26
November 16-18, 2026 | Cape Town, South Africa
Sponsored by: Promet101, Zeiss, Capsone Copper, AECI, International Mining & Minerals Engineering
CRITICAL MINERALS‘ 26
November 19-20, 2026 | Cape Town, South Africa
Sponsored by: Promet101, AECI, Capstone Copper, International Mining & Minerals Engineering
COMMINUTION‘ 27
April 19-22, 2027 | Cape Town, South Africa
Sponsored by: King’ s Beads, Russell Mineral Equipment, Global Met Tech, FLS, Glencore Technology, ME Elecmetal, Metso, Magotteaux, Nesch Mintec, Derrick, Maelgwyn Mineral Services, Molycop, Sino Grinding, FKK, Naipu Mining, Weir Minerals, Metcelerate, Capstone Copper, Steinert, International Mining & Minerals Engineering
AI IN MINERAL PROCESSING‘ 27
June 8-9, 2027 | Cape Town, South Africa
Sponsored by: Promet101, International Mining & Minerals Engineering
HYDROMETALLURGY‘ 27
June 10-11, 2027 | Cape Town, South Africa
Sponsored by: Maelgwyn Mineral Services, International Mining & Minerals Engineering
www. min-eng. com / conferences /
operations.
Through a visual and intuitive interface, operations teams can monitor equipment movements, identify active production fronts and track material flows in real time. Dispatchers can manage operational codes related to loading cycles, material movements and production activities while maintaining a clear overview of equipment status across the mine.
The system incorporates optimisation logic designed to support operational targets such as productivity improvement, queue management and material routing strategies. Integrated alert and notification tools further enhance situational awareness by indicating when equipment enters or leaves operation, enabling teams to respond rapidly to operational changes.
Better fuel data, better dispatch- Wenco integrates Cascadia Scientific smarts
Wenco International Mining Systems told IM that it has integrated Cascadia Scientific’ s Refuelling application into the Wencomine fleet management system, giving dispatchers access to high-accuracy refuelling intelligence directly within their existing workflow. The integration, delivered through a product called Refuel Coach, replaces the conservative guesswork that has long defined fuel dispatch with datadriven guidance on when each truck genuinely needs to refuel.
The challenge is twofold: poor tank level data and inaccurate fuel consumption estimates. Together, they force dispatchers to be overly conservative when deciding when trucks should refuel. Tank level sensors are notoriously unreliable and require constant maintenance. Most haul trucks rely on fuel estimates from the Engine Control Module( ECM), which calculates fuel burn indirectly from engine parameters like RPM, injector pulse width, and air intake- not by measuring fuel flow directly. Over time, sensor drift, injector wear, and engine compression loss introduce ECM fuel consumption measurement errors. A recent study at a South American mine found ECM estimates overestimated fuel consumption by an average of 5.9 %, with half the trucks showing errors above 9 %. That kind of error creates a trust problem. Dispatchers know the numbers might be off, so they build in a buffer. At many operations, a truck gets sent for refuelling with 30 to 35 % of their fuel tank remaining, not because the truck needs fuel at that level, but because nobody wants to risk a truck running to empty. The practical consequence is straightforward: trucks spend time refuelling that they could spend hauling. Multiply that across a fleet and a calendar year, and the lost productivity adds up dramatically.
Wenco has built its Wencomine FMS around an open architecture, one where the platform’ s extensibility allows the company to respond to customer needs quickly, whether through its own development or through integration with specialised partners whose technology solves specific problems better than a generalist approach could. Cascadia Scientific is an energy intelligence company that provides independent, precise insight into how energy is used and wasted across mining fleets. The company installs proprietary fuel flow meters on mobile mining equipment that physically measure the volume of fuel consumed, rather than inferring it from engine parameters the way ECM does. In lab testing, Cascadia’ s meters achieved a blended measurement error of just 0.25 % for the Cat 793 platform. By pairing fuel measurements with operational data, Cascadia reveals the true drivers of energy waste- across roads, operators, refuelling, and equipment- allowing teams to make well founded decisions that improve fleet performance and reduce cost per tonne.
What makes Cascadia’ s approach particularly relevant for dispatch is resolution. By combining measured fuel consumption with payload, haul distance, grade, and other operational variables, Cascadia Scientific’ s Refuel Coach can estimate the number of haul cycles remaining for a given truck before it actually needs to refuel. Remaining cycles is a fundamentally different piece of information than a percentage or a litre count. It is contextual. A truck hauling heavy loads up a steep ramp burns fuel at a very different rate than one running light on a flat haul. Cycles remaining accounts for that, giving dispatchers a more meaningful picture of when refuelling is truly necessary.
Refuel Coach brings that intelligence into Wencomine through Wenco’ s Data Exchange Service. Cascadia’ s on-truck sensors measure fuel consumption continuously. That data flows to Refuel
International Mining | APRIL 2026