Strayos provides you the most accurate fragmentation predictions possible by automatically calibrating them using previous blasts. The prediction models continually learn and improve as you use the Fragmentation Prediction and Fragmentation AI modules.
What you have to do
Most of the process is automated behind the scenes however there are a few things you should check to ensure that your predictions are being properly calibrated. An outline of the end to end process is shown below:
1. Design a blast
Use the Drilling Design, Loading Design (optional), and Timing Design (optional) modules to create an initial blast design. This will allow the Fragmentation Prediction module to automatically populate the input fields based on your actual design. (Note: if you would like to skip this step it is possible to just create a "dummy" drilling design and then manually enter values to the input fields later.)
2. Predict the fragmentation
Launch the Fragmentation Prediction module from the Blast Prediction folder in the sidebar.
You will see some or all of the input fields populated automatically from your blast design and you will see the predicted fragmentation distribution for the current input field values.
Once you have made any required adjustments to the input fields you must click "Save for Comparison" and give your prediction a name.
You will then see it appear in the sidebar list under "Compare Saved Predictions".
The first prediction you save will automatically be set as the "Primary Prediction". This is signified by the star next to the prediction name. The Primary Prediction is the one that will be used to calibrate future predictions.
It is possible to test different design parameters and save multiple predictions. If you do this, just make sure that you set your final prediction as the Primary Prediction. You can do this by clicking on the three dots menu next to the prediction name and selecting "Set as Primary Prediction".
3. Measure the fragmentation after the shot
Create a new project using your muckpile images and ensure you switch on "Post-blast: Fragmentation and Muckpile AI" and link it to your pre-blast project containing the prediction.
Once the new project has finished processing, launch the Fragmentation AI module from the Blast Performance folder in the sidebar.
Any muckpiles that have been detected by the AI will be listed in the sidebar. The muckpile with the star next to the name is the Primary Muckpile. This is the one which is used to calibrate future predictions.
By default, the closest muckpile to the pre-blast shot design is set as the Primary Muckpile. If you would like to change this, you can do it by clicking the three dots menu and selecting "Set as Primary Muckpile"
To view the fragmentation measurement results, toggle on a muckpile and then toggle on "Fragmentation Graph" in the sidebar.
You can compare it with the Primary Prediction for the linked pre-blast project by toggling on "Compare with Prediction". Note: the first few times you do this the comparison may not be close as the prediction model is not yet calibrated to your site. As you enter more data, the predictions will become more accurate.
4. Repeat the process for the next shot
As long as you set a Primary Prediction and Primary Muckpile for each blast, the prediction models will continually learn and improve for your site.
Note: it is possible to turn off the calibration for a prediction and use the basic un-calibrated xp-frag or Kuz-Ram models. You can do this by turning off the "Calibration" toggle in the Fragmentation Prediction module. This will not affect any of your other saved predictions.