Webinar Summary: How a Gold Mine Used 3D Digital Twins & AI for Peak Blasting Performance
Webinar Replay
Summary
In this insightful webinar, Herry Saputra from Dyno Nobel Indonesia shares how combining drone mapping technology with AI-powered analytics is transforming blasting operations. Traditional drone applications—like pre- and post-blast comparisons, blast videos, and sample-based fragmentation analysis—only scratch the surface of blast performance evaluation. But there’s a better way.
We’ll dive into the innovative integration of drones and AI used at the Martabe Gold Mine in North Sumatra, Indonesia. Learn how drone imagery, and advanced AI algorithms come together to deliver comprehensive insights that go beyond traditional methods.
Key Takeaways from the Webinar:
- Detailed Digital Twins for accurate performance monitoring
- AI-based collar detection and fragmentation size measurement
- Muckpile profile analysis, cast material measurements, and floor prediction models
- Achieve 99% ore tonnage prediction accuracy using drone data and AI, comparable to LiDAR technology
- Cost-effective, user-friendly alternatives to LiDAR without sacrificing accuracy
Polls:
Q&A:
Can Strayos predict where ore boundaries moved after a blast or preblast?
- Strayos has a module called Ore Body Movement (ORBYM) which can predict the ore movement based on several blasting parameters and block model data. Reach out to our team to learn more.
The drone fragmentation shows the top of the muckpile that is coarser then the average fragmentation. Do you have a solution for this limitation?
- Strayos offers two solutions for continuously monitoring fragmentation within muckpiles. One is our Netra camera, which can be installed at primary crushers or truck overpasses for continuous monitoring. Second, is our FragR app, which is a mobile app offering fragmentation analysis through mobile analysis.
Can I draw a conclusion from you GCP case study that GCPs are only needed for applications where precise georeferencing is needed, but for applications that are "relative" i.e. do not require any geospatial reference GCPs are not required. For instance we won't need them for comparing individual, isolated pre/post blast DSMs, right?
- Correct, GCPs are always recommended if precise georeferencing is needed.
Do the mine is using those tools on a daily basis? Do they have the capacity to use all the data for continuous improvement? If yes, what were the results in blast optimization?
- Yes, mines are using the software daily for continuous improvement. With Strayos being a cloud-based platform, all the data can be accessed for utilized for long-term improvements.
Presenter:
Herry Saputra, Sr Technical Service Engineer of DYNO Nobel Indonesia
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