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Improving Mining Operations with Real-Time Simulations

Optimising daily operations is an ongoing objective for mining companies. But managing mining activities is expensive and time-consuming for an industry governed by traditional legacy processes.

Digital twin technology is key to the metals and mining industry for driving innovation and improving machine performance.

Key fact: Digital twin technology can improve the cycle time of critical processes by 30%

Combining artificial intelligence with software analytics, digital twin technology creates virtual simulations of critical assets and mining processes that are informed by real-time data.

Machine learning is then used to accurately predict how operations, equipment, and machines will perform. This enables operators to test an operation before production, develop digital training programs, project future scenarios, and improve the performance of mining assets.

Key fact: Digital twin technology can save companies 20-30% of development costs

Featuring IoT integration, a digital twin gathers cloud data from servers to create accurate simulations. Connected sensors are also used to collect data that spans the entire lifecycle of physical assets, providing real-time insights on health and performance.


  • Improves productivity and health of mining assets

  • No capital required to test and optimise operations

  • Can be used to automate physical assets

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