HomeBase MetalsWebinar: Modernise your mineral processing power and analytics

Webinar: Modernise your mineral processing power and analytics

14h00 SAST | 14h00 CET | 15h00 Turkey | 16h00 Dubai

Increase throughput. Enhance recovery. Improve process stability.

Are disturbances and recirculating loads pushing the limits of your processing plant?

Are you looking to lower energy costs and reduce your use of consumables?

Traditional control strategies can only take you so far.

Mineral processing plants are inherently complex, facing disturbances, recirculating loads and more. Additionally, miners are looking to achieve significant process objectives to lower energy and plant costs while improving energy utilisation and water consumption, all while meeting regulatory requirements and dealing with workforce challenges.

How will you meet these process objectives in such complex operations?

Join Rockwell Automation and Mining Review Africa for a LIVE DISCUSSION that answers this very question

Pavilion8® Model Predictive Control (MPC) from Rockwell Automation is reducing process variability and enhancing stability over and above what is currently possible with more traditional control schemes. This ultimately delivers mining customers with increased throughput, lower reagents consumption, better recovery, optimum water and energy usage, and improved process stability.

Top 3 Industry Drivers:
• Reduce cost per ton.
• Reduce process variability.
• Reduce energy / water consumption and emissions.

Key Takeaways:
• Learn about the main control challenges in mineral processing.
• Learn about model predictive control and how it will help you reach process objectives.
• See how MPC is contributing to process improvements in specific mining applications.

Who Should Attend:
• Mining industry – end users
• Process engineers and operators
• Manager level and up

Presenter Details:

Juliano de Goes Arantes, Pavilion Account Executive, Rockwell Automation

Moderator Details:

Laura Cornish, Editor-In-Chief, Mining Review Africa

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