AI in Metals & Mining

A leading US-based integrated steel manufacturer deployed C3 AI Process Optimization at its cryogenic gas processing units, cutting sulfur emissions 20%, electricity consumption 12% (equivalent to 2,000 homes), and going from kickoff to production in 26 weeks.

Liuzhou Steel Group in Fangchenggang Guangxi developed an intelligent molten iron transport system with Huawei and China Mobile integrating data from blast furnaces transport lines and steelmaking plants to create autonomous tasks and routes for each vehicle.

Aluminum Corporation of China released Kun'an 2.0, an industrial AI model applied to over 100 production scenarios across the non-ferrous metals value chain, including mining, smelting, and processing operations.

Rio Tinto operates one of the world's largest fleets of autonomous mining equipment in the Pilbara region of Western Australia, including 40 autonomous drills across 5 platforms at 7 mine sites, all remotely controlled from the Perth Operations Centre. AI-powered Mine Automation System connects 98% of sites, optimising ore body modeling, equipment dispatch, autonomous truck queuing, and blast control.

Vale uses machine learning-based predictive maintenance systems to monitor the health of critical mining equipment including excavators, conveyors, crushers, and drill rigs across its global operations. The AI system analyzes sensor data from over 100,000 monitoring points including vibration, temperature, pressure, and acoustic sensors to predict equipment failures before they occur.