Most ground and infrastructure failures are not sudden events.
From an engineering perspective, they are processes of accumulated displacement that eventually transition into an accelerated phase.
That is why GNSS-based displacement monitoring is a critical risk-control tool.
GNSS (Global Navigation Satellite System) in engineering is not about navigation.
It is a method for continuous measurement of absolute position in space, with millimeter-level accuracy, and for tracking how that position changes over time.
infrascan.ai deploys survey-grade GNSS sensors to monitor the real behavior of ground and linear infrastructure – based on measured data, not visual symptoms.
The system measures:
– absolute displacement in X, Y, Z
– displacement velocity
– deformation acceleration
– correlated movement between control points
This makes it possible to identify the transition from a quasi-stable state to progressive instability long before a failure occurs.
In landslide-prone areas, GNSS sensors are installed in targeted, engineering-relevant locations:
– at the upper part of the slope to detect the onset of movement and the detachment zone
– within the landslide body to track displacement velocity and acceleration
– in a stable reference area outside the landslide for absolute control
Each sensor represents a fixed point in space.
Movement is not interpreted visually – it is measured.
This is especially critical for oil and gas pipelines.
During landslide development, a pipeline is subjected to deformation modes not accounted for in design:
– axial tension and compression caused by differential ground movement
– bending and loss of designed alignment
– stress concentration at welds
– local loss of pipe wall stability
– loss of containment occurring before visible slope failure
In many cases, a pipeline reaches a critical condition before the landslide fully develops, while the slope may still appear visually intact.
The moment typically captured on video is the final stage of the process.
The real engineering risk emerges earlier – when displacements are still small in magnitude, but their rate and acceleration already exceed acceptable limits.
infrascan.ai approach is straightforward and engineering-driven:
– measure movement,
– track its dynamics over time,
– prevent infrastructure failure before an incident occurs, not after.
