Northwest University

Haijun Qiu

Yaru Zhu

Shuyue Ma

Wen Nie

Bingzhe Tang

Zijing Liu

Dongdong Yang

Jianhua Qiang

Zhigang Ren

Ya Liu

Chi Du

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.

Real-time landslide disaster monitoring and early warning system based on beidou positioning

The present disclosure belongs to the technical field of monitoring landslide mass geological disasters, and discloses a multi-state triggered system and method for remote automatic monitoring and early warning of a landslide mass. The multi-state triggered system for remote automatic monitoring and early warning of a landslide mass includes: a landslide mass monitoring module, a data preprocessing module, a communication module, a central control module, a displacement monitoring module, a stability evaluation module, an abnormality early warning module, a power supply module, a data storage module and a display update module. In the present disclosure, through the displacement monitoring module and the stability evaluation module, long-term automatic monitoring of the landslide mass can be realized, and the displacement change of the landslide mass can be grasped so as to evaluate the stability of the landslide mass.

Multi-state triggered system and method for remote automatic monitoring and early warning of landslide mass

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.

Data analysis-based intelligent deformation monitoring system for mountain landslides

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.

Air-ground integrated landslide monitoring method and device

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.

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Xi'an, China

Haijun Qiu