Metso: Achieving the Autonomous Mine with IIoT
Metso deployed Predictive ML for Predictive Maintenance in Metals & Mining. rockwellautomation.com reports no complete outcome metric.
What Metso was trying to fix
AI-driven predictive maintenance and asset optimization has proven to help minerals processing plant eliminate hundreds of thousands of dollars in unnecessary spend. As a frontrunner in sustainable minerals processing technologies, Helsinki-based Metso" works with complex industrial customers across the globe. Aggregates, mining, metals refining and recycling customers all rely on Metso for equipment, technology and services that improve production processes and reduce risk. Within mining, one long-term goal is to shift to complete autonomous operations. But to get there, Metso recognized tha
What Metso deployed
Deployed Rockwell Automation solutions for operational improvement.
Key Takeaways
Technology used: Predictive ML. Key result: 1 $ million saved.
Evidence for Metso's Predictive Maintenance deployment
- Reported outcome metrics
- Not reported by source
- Cited source
- rockwellautomation.com
- Last updated
Explore Related
Vendor
Details
- Industry
- Metals & Mining
- Use Case
- Predictive Maintenance
- AI Technology
- Predictive ML
- Company Size
- Enterprise
- Company
- Metso
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →