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Micro-seismic multi-precursor method and device for tension fracture falling type karst dangerous rock instability early warning

A microseismic and karst technology, which is applied in the direction of measuring devices, seismology, seismic signal processing, etc., can solve the problem of low reliability

Active Publication Date: 2020-11-27
GUANGXI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to adopt rock mass rupture microseismic signal monitoring in view of the huge hazards of karst rock instability and collapse disasters caused by cracking and falling and the low reliability of existing early warning methods based on mechanical analysis, numerical calculation, and physical tests. Technical means, the light-weight gradient boosting tree machine learning method is introduced into the comprehensive early warning problem of cracking and falling karst dangerous rock instability and collapse based on various precursor characteristics of microseismic, and a method of early warning of cracking and falling karst dangerous rock instability is proposed. Microseismic multi-precursor method and device to effectively realize the reasonable early warning of the collapse and collapse of karst dangerous rocks

Method used

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  • Micro-seismic multi-precursor method and device for tension fracture falling type karst dangerous rock instability early warning
  • Micro-seismic multi-precursor method and device for tension fracture falling type karst dangerous rock instability early warning
  • Micro-seismic multi-precursor method and device for tension fracture falling type karst dangerous rock instability early warning

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Embodiment 1

[0148] Image 6 A flow chart of a LightGBM classification model establishment method for the comprehensive identification of the stability level of karst dangerous rocks with multiple precursors of microseisms and cracking and falling karst rocks provided by the example of the present invention. This example can be applied to the construction of a LightGBM classification model for comprehensive identification of the stability level of karst dangerous rocks based on various precursory characteristics of microseismic signals, which include:

[0149] Step S1-1: In this embodiment 1, for the characteristics of microseismic signal precursors of cracking and falling karst dangerous rocks, four types are selected: cumulative apparent volume, energy fractal dimension, cumulative number of events, and b value, see Table 5 for details. These four indicators contain the time domain, frequency domain, energy, waveform and other characteristics of the microseismic signal. They are independ...

Embodiment 2

[0192] Embodiment 2 On the basis of the above-mentioned embodiment 1, a comprehensive early warning method for cracking and falling karst dangerous rock collapse based on various precursory characteristics of microseismic signals is provided. , and real-time early warning of collapse disasters. Figure 7 For example 2 of the present invention, a flow chart of a comprehensive early warning method for cracking and falling karst dangerous rock collapse based on multiple precursory characteristics of microseismic signals is provided. The method specifically includes the following:

[0193] Step S2-1: Example 2 of the present invention conducts real-time monitoring of the cracked and falling dangerous rocks in a mountain with a high degree of karst development in Guangxi Zhuang Autonomous Region. The rock mass is relatively complete, stable, and easy to install; then, the multiple microseismic sensors that have been arranged on the single-risk rock mass are connected to the microse...

Embodiment 3

[0208] Figure 8 A cloud server device is proposed for the present invention, which includes one or more processors 3-1, one or more storage devices 3-2, input devices 3-3 and output devices 3-4, these components are connected via a bus system 3 -5 and / or other forms of connection mechanism interconnection. It should be noted that Figure 8 The components and structure of the cloud server device shown are only exemplary, not limiting, and the cloud server device may also have other components and structures as required.

[0209] The processor 3-1 can be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the cloud server device to perform desired functions .

[0210] Exemplarily, the processor 3-1 can perform microseismic signal preprocessing, precursor feature extraction, LightGBM classification model training, prediction, and real-time early warn...

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Abstract

The invention discloses a micro-seismic multi-precursor method and device for tension fracture falling type karst dangerous rock instability early warning, and aims to solve the problem of automatic early warning of tension fracture falling type dangerous rock collapse disasters in karst regions. The method comprises the steps of firstly, formulating a comprehensive relationship rule between fourmicroseism precursor characteristics and a dangerous rock stability grade according to micro-seismic change characteristics before instability of dangerous rock; then collecting four micro-seismic precursor characteristics of each stage in the dangerous rock instability process from two ways of indoor test and field instance to serve as a machine learning sample set; and finally, establishing a LightGBM classification machine learning model with excellent adaptability to processing parallelization and large-scale high-dimensional data problems by utilizing the machine learning sample set. Therefore, a nonlinear mapping relationship between the micro-seismic precursor characteristics and the dangerous rock stability is established, rapid evaluation of the dangerous rock stability grade in online monitoring is further realized, and an evaluation result is transmitted to an early warning information receiving terminal of a dangerous rock manager through an early warning device.

Description

technical field [0001] The invention belongs to the technical field of geological disaster prevention engineering, and relates to a method and a device for early warning of cracking and falling karst dangerous rock instability and collapse by using microseismic signals. Background technique [0002] Dangerous rock refers to a geological body that is cut and separated by multiple groups of structural planes, has poor stability, and may collapse in the form of toppling, falling, and slipping. Cracked and falling karst dangerous rock refers to the karst area cut by fissures or the lower part is suspended, the dangerous rock mass on the steep slope, under the action of gravity and other factors, moves downward from the parent body, and finally accumulates at the foot of the slope, showing the mechanism of cracking failure. See attached figure 1 . [0003] The instability and collapse of dangerous rocks are highly sudden and destructive. The strong impact force directly causes ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
CPCG01V1/282G01V1/288
Inventor 苏国韶李培峰许华杰张研罗丹旎黄小华蒋剑青郑志
Owner GUANGXI UNIV
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