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Method and system for judging landslide possibility based on time-fused mechanical change

A time fusion and mechanics technology, applied in complex mathematical operations, forecasting, instruments, etc., can solve problems such as calculation difficulties, unstable monitoring, inaccurate time forecasting, etc., to eliminate redundancy and contradictions, reduce uncertainty and construction. The effect of difficulty, superior performance

Active Publication Date: 2019-09-06
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

The shortcomings of monitoring can be mainly divided into three aspects: limited single variable of slope analysis, complex calculation of various internal variable relationships, and inaccurate time prediction. There are shortcomings of limited by meteorological conditions, unstable monitoring, and poor integration and coordination of monitoring technology.

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0030] see Figure 1-4 , this embodiment schematica...

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Abstract

The invention relates to a method and system for judging landslide possibility based on time-fused mechanical change. The method comprises the following steps: establishing a triangular mechanical change model according to a mountain mechanical model and a triangular method; collecting mountain data of each time monitoring point, and deleting abnormal data; establishing a relationship between theinfluence factor and the internal property cohesive force c and the internal friction angle of the rock soil by utilizing a random forest; for the reserved data, calculating the safety factor of the mountain according to the triangular mechanical change model and the relation between the influence factor and the sum c, and preliminarily judging the state of the mountain; and if the state of the mountain is a high-risk state, predicting the landslide time of the mountain by using the biological growth model. According to the invention, multi-sensor resources are fully utilized to carry out timesequence data fusion; local incomplete information obtained in multiple channels and multiple directions according to a time sequence is synthesized, and redundancy and contradiction possibly existing in time and space among multi-source information are eliminated.

Description

technical field [0001] The invention relates to the technical field of geological disaster monitoring, in particular to a method and system for judging the possibility of landslides based on time-fused mechanical changes. Background technique [0002] With the rapid development of railways, highways, and tourism, landslides are common natural disasters that threaten people's lives and property safety. Landslide monitoring and prediction has become an important research direction. [0003] The traditional mountain slope monitoring direction is mainly divided into surface deformation monitoring, deep deformation monitoring, related physical quantity monitoring and landslide formation activity related monitoring. Through the landslide prediction and analysis of the collected data, the prediction can be divided into two aspects: on the one hand The spatial displacement prediction of the landslide through regression prediction mainly adopts the logistic regression method. On the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/11G06F17/18G06Q10/04G06Q50/26G06K9/62
CPCG06F17/11G06F17/18G06Q10/04G06Q50/265G06F2119/12G06F2119/06G06F30/20G06F18/24323
Inventor 华泽玺陈树伟王红珠彭欢向坤罗志王大林曹旭辉陈国祥
Owner SOUTHWEST JIAOTONG UNIV
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