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Unmanned aerial vehicle high slope dangerous rock mass intelligent identification method

An intelligent identification and unmanned aerial vehicle technology, applied in the field of image processing, can solve problems such as insufficient research on automatic identification of dangerous rock masses, and achieve the effect of safety evaluation.

Active Publication Date: 2022-04-01
CHANGJIANG SURVEY TECH RES INST MIN OF WATER RESOURCES
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the existing research on automatic identification of dangerous rock mass is insufficient

Method used

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  • Unmanned aerial vehicle high slope dangerous rock mass intelligent identification method
  • Unmanned aerial vehicle high slope dangerous rock mass intelligent identification method
  • Unmanned aerial vehicle high slope dangerous rock mass intelligent identification method

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Embodiment Construction

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0048] An intelligent identification method for dangerous rock masses on high slopes with drones, such as figure 1 shown, including the following steps:

[0049] Ⅰ. After arriving at the site, survey the site conditions first, determine the measurement range, mark and build the drone route, and draw the route to exceed the measurement range....

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Abstract

The invention relates to an unmanned aerial vehicle high slope dangerous rock mass intelligent identification method, and relates to the technical field of image processing, and the method comprises the following steps: constructing an unmanned aerial vehicle route, and shooting a high slope dangerous rock mass through the flight of an unmanned aerial vehicle from left to right and from top to bottom in sequence; a photo shot by the unmanned aerial vehicle is imported into a computer, and point cloud data of the dangerous rock body are obtained; preprocessing the point cloud data to reduce the data volume and smooth the point cloud, and then extracting a ground point cloud from the denoised point cloud by using a seed point filtering algorithm or a quasi-slope filtering algorithm; the clustering algorithm is adopted to classify the point clouds of the boundaries, the clustered point clouds are subjected to three-dimensional reconstruction to generate the DEM, the dangerous rock mass object is extracted through the screening rule, and the method has the advantage of efficiently, automatically and accurately extracting isolated dangerous rock data.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an intelligent identification method for dangerous rock masses of high slopes by drones. Background technique [0002] Dangerous rock refers to an unstable rock mass cut by multiple groups of rock mass structural planes and located on steep slopes or cliffs. For the isolated dangerous rock mass on the surface of high slopes, its external form usually appears as a raised block, with a more obvious external edge in high slopes. In order to evaluate the stability of dangerous rock mass, the traditional way is to rely on manual contact measurement, which has the problems of low work efficiency, high risk, and is greatly restricted by terrain conditions and field environment. Obviously, the automatic identification of dangerous rock mass based on the 3D model of the slope can effectively solve this problem. This technology can provide a complete set of solutions from non-con...

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Application Information

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IPC IPC(8): G06V20/17G06V10/762G06T5/00E02D33/00
CPCY02A10/40
Inventor 夏金梧陈娜王小波张晋李书朱云法史超聂峰
Owner CHANGJIANG SURVEY TECH RES INST MIN OF WATER RESOURCES
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