Industries We Support

The use of LiDAR scanning is becoming industry-standard for the documentation of shotcrete applications in underground mining operations. However, collecting scans delivers value only when accompanied by analysis.

In practice, time constraints mean most scans are archived rather than reviewed. Manual thickness verification might cover a small share of the data but the remainder constitutes documentation without substantive analysis.

Shotcrete Intelligence automates the analysis process, ensuring every scan is evaluated—not merely those you have capacity to assess manually. Beyond thickness and surface condition analysis, you gain systematic insight into application patterns across your operation, plus clean spatial data suitable for integration with other systems.

In tunnel construction, shotcrete is a key element. Achieving design thickness is not discretionary but fundamental to ground support performance. Yet nozzlemen operate amid dust, rebound, and compromised visibility, frequently near unsupported ground and under schedule pressure. Reliable visual assessment of actual thickness is not feasible under these conditions.

Our Shotcrete Intelligence and scanning services provide a system to document the shotcrete application, provide QA/QC verification and optimise usage of time and material. With thickness data available during or shortly following application, deficiencies are identified and addressed before they escalate into formal rework scope.

Shotcrete in energy infrastructure, major construction, and slope stabilisation must perform reliably over extended service life. Yet conditions during applications, such as dust, irregular substrates, access limitations, render visual thickness assessment unreliable. Conformance with specification cannot be determined by observation alone.

Shotcrete Intelligence processes scan data to analyse shotcrete application and verify thickness systematically across extensive surface areas. The result is robust documentation for compliance and asset management purposes, identification of application inconsistencies, and clean spatial data compatible with your existing systems.