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1. How Artificial Intelligence Revolutionizes Mining - "9. AI real-life cases"

 

The adoption of artificial intelligence has improved efficiency and safety in the mining industry. Artificial intelligence algorithms provide more accurate estimates of mineral reserves by examining patterns in geological data and combining it with historical mining data.


For example, mining companies in South Australia are already using artificial intelligence to find undiscovered resources.


Additionally, using AI algorithms to process real-time data collected by Internet of Things (IoT) devices and sensors can help streamline mining operations and optimize asset management by providing predictive models to enhance decision-making and prevent unplanned downtime.


Autonomous vehicles and machines equipped with AI can navigate complex terrain, optimize paths and perform tasks precisely, thereby minimizing human error, reducing the risk of accidents and improving worker safety. In addition, AI-driven predictive maintenance systems can monitor equipment health, detect anomalies and proactively schedule maintenance activities, thereby maximizing operating time and extending the life of mining assets.


AI also has the potential to promote environmental sustainability by optimizing mine planning processes to take into account key factors such as land reclamation and habitat restoration.


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