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Sandvik has launched xCell® Vision, a cloud-based solution that uses AI and LiDAR scan data to automate rock bolt analysis for ground support QA/QC in underground mining and tunneling.
The software identifies and classifies installed rock bolts and measures parameters including bolt count, spacing, orientation and tail length, helping geotechnical teams assess ground support installations more efficiently, the company explains.
Assessing installed rock bolts has traditionally involved personnel inspecting underground workings and recording findings manually. By automating bolt identification and measurement from LiDAR scan data, xCell Vision helps engineering teams reduce manual documentation and focus on results that may need closer investigation, Sandvik claims.
The platform processes point cloud data captured by handheld, stationary or machine-mounted LiDAR scanners. Using machine learning, it identifies and classifies different rock bolt types and displays the resulting measurements in an interactive 3D view of the scanned underground workings.
“Documenting installed rock bolts has traditionally required personnel to go underground and record observations manually,” Christian Reich, Global Head of Digital Products and Services, Ground Support at Sandvik, says. “xCell Vision automates bolt identification and measurement using LiDAR scan data, giving engineers a more efficient way to assess installations and focus their attention on areas that may need further investigation.”
Engineers can review rock bolt measurements in their underground context and identify areas that require further investigation. These results can also help teams prioritise follow-up assessments and inform ground support planning, the company explains.
xCell Vision adds automated analysis of installed rock bolts and their geometry to Sandvik’s Digital Ground Support Platform, expanding its offering for data-driven ground support management and taking another step forward in its vision of helping customers achieve safer, smarter and more productive underground operations through innovative digital technologies, Sandvik concludes.
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