Dangerous rock instability mode discrimination method and device based on deep learning technology

A deep learning and pattern discrimination technology, applied in CAD numerical modeling, image data processing, instruments, etc., can solve problems such as weak

Pending Publication Date: 2020-03-06
GUILIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] The research on the classification and identification of dangerous rocks has a long history. Since the 1980s, domestic scholars have proposed different classification schemes for dangerous rocks based on their respective research fields and perspectives. However, due to the complexity of rocks, most of the fa

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  • Dangerous rock instability mode discrimination method and device based on deep learning technology
  • Dangerous rock instability mode discrimination method and device based on deep learning technology
  • Dangerous rock instability mode discrimination method and device based on deep learning technology

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Embodiment Construction

[0017] The present invention provides an implementation process of a dangerous rock instability mode discrimination method and device based on deep learning technology. This embodiment conducts deep learning based on a large number of dangerous rock image features and data affecting the stability of dangerous rock, and proves the method The flexibility and accuracy in judging the instability mode of dangerous rock. In order to make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, the present invention is further described in detail in combination with the following examples.

[0018] First, please refer to the attached figure 1 , the steps of the method for discriminating the dangerous rock instability mode based on deep learning technology in the embodiment of the present invention are: according to the method adopted in the present invention, step one, collect dangerous rock instability images and data sets; step two...

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Abstract

The invention discloses a dangerous rock instability mode discrimination method and device based on a deep learning technology. The device mainly comprises an input module, a working module and a discrimination module. The invention provides a process schematic diagram of a dangerous rock instability mode discrimination method and device based on a deep learning technology, can reflect the accuracy and flexibility of dangerous rock instability mode type recognition, and can provide a basis for the classification discrimination of dangerous rock instability modes and the prediction and prevention and treatment of dangerous rock collapse.

Description

technical field [0001] The invention is a method and device for discriminating dangerous rock instability modes based on deep learning technology, and relates to related fields such as dangerous rock stability and deep learning technology. Background technique [0002] Dangerous rock refers to a rock mass on a steep slope or cliff that is divided by various structural planes and can be destabilized. It is a common type of geological disaster in the southwest mountainous area. Because of the suddenness of the destabilization process, it often causes serious disasters. The classification of dangerous rocks is one of the basic issues in the study of dangerous rocks, and it is also the key and entry point for a correct understanding of dangerous rocks. In order to generally reflect the understanding of the development law and deformation mechanism of dangerous rocks, dangerous rocks are usually classified, and the identification and judgment of dangerous rock instability modes a...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06T7/00G06Q50/26G06F111/10
CPCG06T7/0002G06Q50/26G06T2207/10004G06T2207/20081
Inventor 张研王鹏鹏张树光曾建斌苏国韶吴哲康
Owner GUILIN UNIVERSITY OF TECHNOLOGY
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