Amber Hickman |
BHP Group will use Microsoft Azure, artificial intelligence and machine learning at Escondida, the world’s largest copper mine in Chile.
The mine operations team leverages BHP’s newly deployed Azure Machine Learning operations platform and other Azure services such as Azure Synapse Analytics and Azure Data Lake Storage to help the mines responsible for extracting, floating, and collecting copper minerals. Optimize the concentrator circuit of
BHP uses real-time data from Azure to make hourly forecasts, which it then uses to make machine learning-powered recommendations for its operations teams.
said John Montgomery, corporate vice president of AI Platforms at Microsoft. “AI, Machine Learning, Cloud. He is thrilled to partner with BHP on this groundbreaking project that demonstrates the power of technology.”
The partnership will help reduce copper production as BHP forecasts that global production will need to double over the next 30 years to keep pace with the development of electric vehicles, offshore wind and solar power plants. It will help meet the growing demand.
“As existing mines become degraded and new copper deposits are discovered less, next-generation technologies such as artificial intelligence, machine learning and data analytics will unlock more production and value from existing mines. will be used in the future,” said lead engineer Laura Tyler. BHP officer.
