BlastFrag uses an Artificial Intelligence/Machine Learning algorithm, optimises for all significant parameters that influence the results from a blast design giving more reliable, robust and site specific output.
The software is not yet at commercial release stage but the analysis is available through our specialist consultancy services.
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Hole Diameter | Bottom Charge Length | Column Charge Length | Burden | Spacing | Explosive Type | Raw Delay Time | Explosive Weight | Hole Delay Time | Drill Angle | |
Kuznetsov | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Xp frag | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
M2M | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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Blast Design Parameters | Geological Parameters | Optimised Blast Design | M2M Optimisation Runs | Statistically Optimised from Data | Data & Machine Learning | Cost Optimisation | |
Kuznetsov | 8 | 1 | ![]() | 620,000 | ![]() | ![]() | ![]() |
Xp frag | 6 | 2 | ![]() | 2.6 million | ![]() | ![]() | ![]() |
M2M | 10 | 8 | ![]() | 400 million | ![]() | ![]() | ![]() |