Ore Conveyor Mining Simulation
A mining operator deployed Digital Twin for Process Optimization in Metals & Mining. rockwellautomation.com reports no complete outcome metric.
What the mining operator was trying to fix
Discover how to model a system with both continuous and discrete behavior. Arena incorporates full design into model to encompass each step including cycle times and manual actions. The concept showed successful for this specific situation and yielded results that showed viability in specific situations.
What the mining operator deployed
To build the model, the system was represented based on the schematic shown in the Figure 6 in the whitepaper referenced below, that has 4 main divisions: 1. Material arrival: this represents all material arrival at the system, and the process to choose its destination; 2. Material storage (stockpiles): represents the material handling at the yards, like the use of stacker and reclaimers, and the lanes choose to stock or remove the material; 3. Material consumption: the final destination of the materials. Some facilities receive materials but generate others, like the blendings producing mixtu
Results
The concept showed successful for this specific situation and yielded results that showed viability in specific situations.
Key Takeaways
Technology used: Digital Twin.
Evidence for the mining operator's Process Optimization deployment
- Reported outcome metrics
- Not reported by source
- Cited source
- rockwellautomation.com
- Last updated
Limitation: The cited source does not identify the company.
Explore Related
Vendor
Details
- Industry
- Metals & Mining
- Use Case
- Process Optimization
- AI Technology
- Digital Twin
- Company
- Mining Operator
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