Vale–ABB Brazil iron ore rollout: automation and AI takeaways for plant engineers
Reviewed by Joe Ashwell

First reported on MINING.com
30 Second Briefing
Vale and ABB are extending their automation and AI partnership from the 11.2 Mt/y Conceição II “model plant” to multiple iron ore processing sites across Brazil, using the same integrated automation, electrification and IT/OT digitalisation framework. At Conceição II, ABB systems now control more than 7,000 instruments and over 100 monitoring cameras, optimising more than 400 process variables and delivering a 25% productivity gain, 40% more premium direct-reduction ore and a 26% cut in iron losses to tailings since 2024. The rollout targets further reductions in manual field interventions, higher energy efficiency and more consistent plant performance.
Technical Brief
- Data intelligence routines manage and correlate more than 400 process variables to anticipate equipment failures and shutdown risks.
- Reduced manual field interventions directly cut operator exposure to hazardous plant areas and live equipment.
- Vale positions Conceição II as its first “high-tech, AI-enabled” reference plant for iron ore processing.
- Gradual rollout across other Vale iron ore sites is explicitly targeted at improving energy efficiency alongside throughput.
Our Take
The Conceição II iron ore plant’s 2024 AI deployment sits alongside Vale Base Metals’ separate ‘Physical AI’ R&D with LoopX, signalling that Vale is testing automation both in surface processing and underground fleets rather than in a single operational silo.
Across our mining database, iron ore and AI rarely coincide compared with critical minerals and AI, so Vale and ABB’s Brazil roll-out stands out as one of the more advanced, large-scale applications of AI in bulk commodities rather than just in higher-margin metals.
ABB’s work at Conceição II aligns with its broader push to integrate plant control, hoists and grinding assets via platforms like Ability and Grinding Connect, suggesting that the Brazilian iron ore installations are likely being designed as reference sites for ABB’s global process-automation offering.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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