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Use cases for digital twin technology in the mining industry

Updated: Feb 28

The mining industry is a complex and challenging industry that involves extracting valuable minerals and resources from the earth. With the high cost and risk associated with mining operations, it is critical to use the latest technologies to ensure efficiency, safety, and sustainability. One of the emerging technologies that has gained significant traction in recent years is digital twins.

Digital twins are virtual models of physical assets or systems that can monitor, control, and optimize their performance. In the mining industry, digital twins can be used to create virtual models of mines, equipment, and processes. These models can be used to simulate various scenarios, predict performance, and optimize operations.

Here are some of the use cases for digital twins in the mining industry:

  1. Equipment Optimization: Digital twins can create virtual models of mining equipment, which can be used to monitor and optimize their performance. By using real-time data from sensors, digital twins can simulate the behavior of the equipment and predict the impact of various factors such as load, speed, and temperature. This information can be used to optimize production, reduce downtime, and improve safety.

  2. Asset Management: Digital twins create virtual models of mining assets, such as tunnels, haul roads, and conveyors. These models can be used to monitor the performance of the asset and predict when maintenance is required. By using real-time data from sensors, digital twins can help reduce downtime and extend the life of the asset.

  3. Safety: Digital twins can simulate various safety scenarios, such as rock falls or gas leaks. By using real-time data from sensors, digital twins can predict the impact of such events and provide guidance on how to respond. This can help improve safety and reduce the risk of accidents.

  4. Exploration: Digital twins can create virtual models of mines and mineral deposits, which can be used to simulate different exploration scenarios. By using real-time data from sensors, digital twins can predict the potential yield of the mine and help optimize mining operations.

  5. Sustainability: Digital twins can also be used to create virtual models of mining processes, which can be used to optimize energy consumption and reduce waste. By using real-time data from sensors, digital twins can help reduce the environmental impact of mining operations and improve sustainability.

In conclusion, digital twin software has significant potential in the mining industry. By creating virtual models of assets and systems, digital twins can help optimize operations, reduce downtime, and improve safety and sustainability. As the technology continues to evolve, we can expect to see more use cases emerge, and digital twins becoming an essential part of the mining industry.

As well as delivering on numerous other KPIs including enhanced collaboration, and better, faster decision making, VEERUM’s mining solution has helped clients achieve 50% reductions in inspection costs, 80% reductions in compliance costs, and 30% reductions in field safety exposure.

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