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Data Driven Improvements to Haul Truck Operations

Reduce crusher downtime with LoadWise

The presence of oversize rocks in the primary crusher can lead to costly downtime and lost production. LoadWise is an automated oversize detection system which can detect oversize ore in the pit as the truck is loaded. This allows trucks to be diverted, preventing crusher downtime. The system provides a simple, hardware and software solution that can quickly be retrofitted to any vehicle straight out of the box. It can provide alarming and indication of a potential crusher blockage event in real- time. In contrast to camera-based systems and other immature prototype solutions, LoadWise is a highly reliable system which can be configured to achieve specific truck diversion rates and material throughput targets.

KEY FEATURES

Benefits

The system is optimised for easy maintenance, harsh environments and typical mining conditions. It is durable to operate extended periods which reduces the need for replacement which causes schedule distruptions

BENEFITS

LoadWise is highly reliable and can be adjusted to various mine characteristic and is scalable to suit any mine. It is a retro-fitted solution to suit any type of haul truck or tray.

BENEFITS

Easy, straight-forward hardware integration and quick installation procedure. Fully vertically integrated solution with the option to choose the degree of integration and automation.

LoadWise in Action

CASE STUDY

Crusher blockages due to oversized rocks result in more than 25 hours of crusher downtime per month

In a case study performed at an open-pit iron ore mine that exports 50 Mtpa, an average downtime of per period from oversized ore blockages it has resulted in a 4% annual reduction in production

The average production capacity of Australian iron ore sites is between 25 to 30 Mtpa. This means the average site should expect to experience a production loss due to oversize alone of approximately 1 Mtpa

In today’s market (assuming the price of iron ore is $100/tonne), this equates to a revenue loss of $100 million annually.

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