Abstract

Landslide monitoring is an important technical means for monitoring and forecasting landslides. At present, three-dimensional laser scanning technology has been applied to deformation monitoring, such as landslide monitoring. The three-dimensional laser scanning technology can measure the three-dimensional coordinates of the object surface with high precision, high density and high speed, thus describing the details of the surface in detail. It has been successfully applied in static shape measurement. Computer cluster is widely used in various computationally intensive tasks because of its high cost performance and good scalability. Combined with the deformation information of deformation monitoring points, the deformation trend of landslide body is effectively monitored and predicted. In order to process the obtained data in a timely and rapid manner, the computer cluster performs the absolute orientation of the sequence point cloud collected in different periods to complete the coordinate system, and then acquires a set of points of different periods of point cloud data at the same position of the computer cluster. The data was compared and analyzed. In addition, the acquisition of ground-type 3D laser scanner data does not require the deployment of monitoring points, which can reflect the surface morphology of the landslide more quickly and accurately than the traditional monitoring means, and then obtain the surface deformation value.

Full Text
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