Artificial intelligence method for judging slope collapse rockfall distance during earthquake

An artificial intelligence and rockfall technology, which is applied to determine the distance of slope collapse and rockfall when an earthquake occurs. In the field of artificial intelligence, it can solve problems such as high computational complexity and unfavorable rapid prediction, and achieve the effect of improving accuracy.

Inactive Publication Date: 2021-04-06
CHINA COAL RES INST +1
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Problems solved by technology

When there are too many training samples, the computational complexity is high, which is not conducive to fast prediction

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  • Artificial intelligence method for judging slope collapse rockfall distance during earthquake
  • Artificial intelligence method for judging slope collapse rockfall distance during earthquake
  • Artificial intelligence method for judging slope collapse rockfall distance during earthquake

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[0031] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0032] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to an artificial intelligence method and device for judging the slope collapse rockfall distance during an earthquake. According to the method, firstly, sample data are collected, then, and a DWKNN algorithm is used for predicting the rockfall distance through the collected sample data, wherein the weight in the DWKNN algorithm is in an exponential form. According to the scheme of the invention, the method can achieve the higher robustness for the slope collapse rockfall distance, and is suitable for the prediction of a small sample. Moreover, according to the embodiment of the invention, the weight calculation method in the KNN algorithm step is improved into the exponential form, so that the accuracy of the prediction result can be improved to a great extent.

Description

technical field [0001] The present disclosure relates to the field of earthquake assessment, and in particular to an artificial intelligence method for determining the distance of slope collapse and rockfall when an earthquake occurs. Background technique [0002] The horizontal movement distance of rockfall is the vertical range of rockfall after falling along the slope, and it is a part of the rockfall disaster threat area. It reflects the size of the vertical and horizontal threat range of rockfall, and is often used as one of the bases for judging whether or not rockfall is prevented. It also represents the kinetic energy of rockfall movement and the size of the threat. It is also a major parameter that needs to be clarified in the design of rockfall prevention and control projects. [0003] For the collapse and failure form of the slope, it is mainly manifested that the rock and soil mass at the top of the slope loses its bonding ability with the slope as a whole under ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/15
CPCG06F17/15G06F30/20
Inventor 黄帅齐庆杰刘英杰黄明明刘文岗
Owner CHINA COAL RES INST
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