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: The present invention discloses a method for constructing a surface stress distribution cloud map based on critical refraction longitudinal wave detection. The method comprises: firstly, meshing a surface of a detected article; secondly, The mean transverse stress on different grid lines and the mean longitudinal stress on different grid lines were obtained by the critical refraction longitudinal wave detection method; next, calculating the equivalent stress of each mesh node according to the mean transverse stress on different mesh transverse lines and the mean longitudinal stress on different mesh longitudinal lines on the surface of the detected article; and finally, drawing a stress distribution cloud map of the surface of the detected article according to the equivalent stress. The present invention can obtain the stress situations at different points on the surface of the detected article.

Abstract: A real-time landslide disaster monitoring and early warning system based on Beidou positioning comprises a data acquisition module, a signal transmission module and a remote early warning center, wherein the output end of the data acquisition module is connected with the input end of the signal transmission module, and the output end of the signal transmission module is connected with the input end of the remote early warning center; the data acquisition module comprises a fixed seat and a control box, the bottom of the control box is connected with a camera, one side of the control box is fixedly connected with a warning device and a displacement monitoring module, and the side, away from the warning device, of the control box is fixedly connected with a data connector; and the signal transmission module comprises a controller, a memory, a power supply, a Beidou positioning module and a signal projector.

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 a Beidou communication-based integrated monitoring system for a slope surface crack, which in particular relates to the field of geological disaster monitoring. Due to a certain trend of landslide damage degrees, and consequent offsets of a slope area over time, monitoring points pre-arranged possibly become non-optimal monitoring points with undesired monitoring effects. In view of this, the present disclosure includes an arrangement module, a monitoring module, an early warning module and a supervision module; and a slope offset threshold is set according to information of a slope, and configured to determine whether positions of the monitoring points are located in a normal area, and under the condition that a slope offset exceeds the threshold, it is indicated that the monitoring points cannot properly monitor the slope area, and need to be rearranged according to an offset direction.

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.