Predictive Analytics is Mining's Best Asset

Today's mining industry is not new to technology, however when it comes to asset management and optimisation, many companies are missing out on significant cost saving opportunities and productivity improvements. In fact most miners use less than 1% of their data to generate insights.

Common maintenance methods in the mining industry include preventative maintenance and reactive maintenance. Preventative maintenance can be time consuming and costly as resources are invested on functional assets. The reactive maintenance method only works on non-critical assets with low replacement costs. What both methods lack is the ability to predict when, why and how assets will fail in the future and how to optimise them in the present.

VROC partners with mining companies to merge sensor technology and artificial intelligence to predict failures before they happen, eliminating unnecessary maintenance activity and costly shutdowns.  VROC's AI platform helps get more out of infrastructure which is critical in todays fluctuating market. The result? Increased profits, sustainability and safety.

Are you looking for

  • lowered maintenance costs
  • Asset life extension
  • Improved asset performance and reliability
  • Increased profits

If the answer is yes, optimise your bottom line by getting in touch with our team today.
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FACT: Well managed shutdowns, turnarounds and outages can lead to 30% cost improvements. McKinsey

VROC Predict

The mining industry's secret weapon giving you the power to flag suboptimal operations and impending failures before they occur, generating radical ROI across your triple bottom line. 

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VROC Optimise

Optomise your mining opperations with the power of artificial Intelligence, discover the most efficient settings to reduce material and power costs and get the most out of your assets.

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VROC Predicts Ventilation Fan failure

VROC successfully predicted a mining ventilation fan failure, allowing our client time to order parts and plan a shutdown to perform planned maintenance. Avoiding a unplanned shutdown and saving $700,000. 

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