Immersive Technologies are the only provider who have successfully developed and implemented simulation-based training solutions for in-field roles within an autonomous haulage environment.
5% Improvement in Autonomous Truck Cycle time
7% Improvement in Autonomous Truck Interchange time
20% Improvement in Autonomous Truck Queue time
Automation within the mining industry is transforming the nature of work performed by people both within the mine site and in the back office. Often, the importance of the role of the person working within autonomous operations is underestimated, particularly their ability to compensate for the unexpected. This underestimation can dilute or negate the benefits achievable from running an autonomous operation. Therefore, selecting the right people, effective training and upskilling strategies are key to ensuring a highly efficient autonomous operation.
Why is it important to select the right people to operate the right equipment?
Human errors and underperformance within an autonomous haulage environment will significantly impact operational efficiency and production. This is especially true for critical roles such as loading equipment operators who play a significant role in realizing the benefits of autonomous system implementation.
Why is it important to choose an effective training strategy upfront?
In-effective training approaches will lead to increased human errors due to poor understanding and low knowledge retention. This has significant impact on mine profitability risking safety, machine damage and productivity, along with limiting the speed of deployment significantly.
Immersive Technologies have deployed training solutions to the majority of autonomous haulage sites across the world. Below are some of the key objectives behind the deployment of these solutions.
Safety
Throughput
Productivity
Let us show you how our solutions can drive results at your site.
REF#PR3321
BHP, Australia
Site needed to improve operational standards and production output of Excavator Operators in Cat® Command for Hauling Autonomous Operations. Performance variability was identified as an issue for the Liebherr R997 excavator fleet.
Results achieved included a 4% improvement in instantaneous dig rate, 7% improvement in production dig rate, 20% improvement in average truck queue time per cycle and 6% improvement in average time between trucks.
REF#PR2019
Iron Ore Mine, Australia
Excavator operators were faced with productivity challenges and more complexity in their roles while interacting with autonomous trucks.
A technical training solution was provided by Immersive Technologies, which delivered an 8% improvement in instantaneous dig rate (T/Hr) in-pit. Simulator results included improvements to AHS spot creation time per truck, AHS wait time per truck and AHS exception time per truck.
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