Abstract: Disclosed is a data analysis-based intelligent deformation monitoring system for mountain landslides, which solves the technical problem in the prior art that when a landslide occurs in a landslide area, it is not possible to implement region-specific monitoring for landslide soil, thus failing to minimize the real-time impact of the landslide area. The present disclosure involves marking a sub-area where a landslide occurs as a landslide area, marking a real-time sliding direction within the landslide area as a landslide flow direction, setting areas at both sides of the landslide flow direction as landslide slopes, generating a control adjustment signal or a risk monitoring signal through landslide slope analysis, and sending the signal to a server.

Abstract: Disclosed is an air-ground integrated landslide monitoring method and device. The monitoring method comprises the following steps: step one, performing high-precision (centimeter-level) vertical aerial photogrammetry and oblique photogrammetry on a monitored area by using an unmanned aerial vehicle, and quickly generating a digital topographic map, a digital orthographic map and a digital surface model; step two, performing accurate and intensive monitoring on the monitored area through a monitoring device; and step three, finally sending obtained data to a processor, and after the monitoring data are processed by the processor, sending the data to a remote-control center, so that real-time transformation and spatialization of dynamic landslide monitoring information are achieved. The present disclosure also provides a landslide monitoring device. The landslide monitoring device comprises a control box, a bottom plate and an unmanned aerial vehicle.

Abstract: Disclosed is an air-ground integrated landslide monitoring method and device. The monitoring method comprises the following steps: step one, performing high-precision (centimeter-level) vertical aerial photogrammetry and oblique photogrammetry on a monitored area by using an unmanned aerial vehicle, and quickly generating a digital topographic map, a digital orthographic map and a digital surface model; step two, performing accurate and intensive monitoring on the monitored area through a monitoring device; and step three, finally sending obtained data to a processor, and after the monitoring data are processed by the processor, sending the data to a remote-control center, so that real-time transformation and spatialization of dynamic landslide monitoring information are achieved. The present disclosure also provides a landslide monitoring device. The landslide monitoring device comprises a control box, a bottom plate and an unmanned aerial vehicle.