Landslide early warning system and landslide early warning method

Abstract

The invention provides a landslide early warning system and a landslide early warning method. The system comprises an unmanned aerial vehicle and a landslide early warning platform mounted on the unmanned aerial vehicle, wherein the landslide early warning platform comprises an embedded processing device, and an aerial photograph device, a GPS positioning device, a power supply and a time shiftingelectrical method detection system all connected with the embedded processing device; the aerial photograph device is used for performing photographing and video recording for a working area, and obtaining pictures and videos of the working area; the time shifting electrical method detection system is used for arranging two electrical detection sensors at set detection points through the unmannedaerial vehicle according to working area GPS coordinates set by a ground station, and performing landslide risk result analysis according to the pictures, the video and the specific resistance of theworking area. In the method provided by the invention, the time shifting electrical method detection system is arranged through the unmanned aerial vehicle, thus, areas where the sensors are usuallydifficult to allocate manually, such as remote or areas or high mountains and abrupt slopes, can be covered, moreover, the advantages of the method above also can be merged in combination with a technology of image recognition, and early warning work efficiency can be improved.

Description

technical field [0001] The invention relates to the field of landslide early warning, in particular to a landslide early warning system and method. Background technique [0002] Landslide refers to the soil or rock mass on the slope, affected by factors such as river scouring, groundwater activity, rainwater immersion, earthquake and artificial slope cutting, under the action of gravity, along a certain weak surface or weak zone, the whole or scattered The natural phenomenon of land sliding downhill. [0003] Landslides involve many issues such as environmental geology, hydrogeology and engineering geology. At present, landslide early warning includes manual inspection, deployment of sensors in landslide areas, and image recognition of landslide areas. In actual operation, each of the above methods has disadvantages that are difficult to overcome. For example, the manual inspection method consumes a lot of manpower and material resources, usually has many blind spots, low...

AI Technical Summary

Problems solved by technology

In actual operation, the above methods have their own shortcomings that are difficult to overcome

For example, the manual inspection method consumes a lot of manpower and material resources, usually has many blind spots, low efficiency, and short warning time; deploying sensors in landslide areas can only target key areas and a small number of areas, and it is difficult to deploy in a large number of remote places or high and steep slopes; image landslide areas The identification method is immature, modeling is difficult, or the image accuracy is not enough, resulting in difficulties in early warning

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