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05 Autonomous trucks
Predictive asset maintenance
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05 Autonomous trucks

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Predictive asset maintenance

The five common maintenance approaches are : reactive , preventative , condition-based , predictive and prescriptive . Predictive maintenance advances the condition-based approach further by using model-based anomaly detection , incorporating the online collation of sensing data and data analytics to predict machine reliability .
Collecting data from IoT sensors helps mining companies understand the condition of every asset in real time , helping predict failure times and use conditionbased maintenance to reduce costs , increase utilisation and extend asset life .
Autonomous trucks introduced by some miners are technologypowered mining advances that have made workers safer while reducing fuel usage by 10-15 % - thus improving environmental performance by 13 % while making sites and local areas less hazardous .
In the year to May 2022 , the number of autonomous haul trucks in operation globally rose from 769 to 1,068 , according to GlobalData . Australia has the largest number of autonomous haul trucks in operations with 706 across 25 mines , while Caterpillar and Komatsu are the two main suppliers of autonomous vehicles , accounting for 86.5 % market share .
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