Using machine-learning over 40 parameters, it identifies where driving can be improved. to maximise tonne per kilometre, optimise fuel use and extend asset life.
Top business benefits
Cuts fuel consumption by 3-7%
Cuts maintenance costs
Increased tyres lifecycle by 3-5%
Reduces CO2 emissions
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In more detail
Full description
Driving a haul truck is a hard and demanding role, requiring concentration for hours on a repetitive route to maintain proper driving behaviour. This means drivers can slip into bad habits which can cause suboptimal equipment performance without realising. These bad habits can result in unnecessary fuel burn, excess tyre damage and additional wear to truck components such as brakes and gear boxes.
This bespoke, real-time, digital drive-assist tool uses voice prompts to teach drivers how to alter their driving behaviour for a specific mine’s roads. Taking account of over 40 parameters, including road surface, payload, idle time and weather, it advises on various driving behaviours, such as optimal speeds for each section of the road, braking pressure and revving.
This tool also analyses each driver’s behaviour to produce bespoke KPIs and performance targets for them to work towards.
By altering an entire fleet of drivers’ behaviour, this solution is proven to cut fuels costs by between 3% and 7% annually. This equates to a saving of $588,000 a year for a mine fleet of 30 trucks such as CAT777, 785C, Komatsu 785-7.
The driver assistance box can be installed in the engine and cab in less than 90 minutes by on-site maintenance technicians as part of a normal maintenance cycle.