ShovelMetrics™ Fragmentation Analysis accurately measures rock fragmentation within the shovel bucket.
Efficient blasting is an integral part of any mining operation. Over-blasting results in excessive energy consumption and high explosives expenses, while under-blasting produces overly large rocks that overwork downstream equipment and shorten their lifespan. With an effective particle size analysis solution in place, mines can optimize blasting results and realize significant time and cost savings while accurately planning their next blast.
ShovelMetrics™ uses a rugged optical range camera overlooking the shovel bucket to continually capture images of the bucket contents. The solution then uses deep learning algorithms to accurately analyze particle size in the bucket. This method has distinct benefits over traditional sieve analysis:
- Frequent, automated image collection and analysis provides better statistical representation for higher accuracy.
- Measuring particle size continually in the bucket provides insight into the interior of the bench face, rather than just the surface.
Particle size impacts all downstream operating costs and is a critical metric to measure in a modern mine-to-mill approach. With an effective particle size analysis solution in place, mines can optimize blasting results and realize significant time and cast savings while accurately planning their next blast.
MetricsManager™ Pro is a centralized, web-based data analysis platform that works with all networked Motion Metrics solutions. This solution uses existing mine network infrastructure to extend the value of ShovelMetrics™ and provides mine management with actionable reports to optimize daily decision making.
With this valuable information, blast engineers can analyze and determine the effectiveness of each blast allowing them to adjust their parameters for optimization. Users can access this information in real-time from a connected laptop, tablet or smartphone.
Click here for more information on MetricsManager™ Pro