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

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...

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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 factors affecting the instability mode of dangerous rocks have a certain degree of ambiguity and randomness, and there is coupling between the various influencing factors, making the identification of the instability mode of dangerous rocks a difficult task. The Weak Link in the Study of the Stability of Dangerous Rock

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