Vehicle-mounted lithology and unfavorable geological precursor characteristic recognition system and method thereof

A feature recognition, vehicle-mounted technology, used in instruments, measuring devices, scientific instruments, etc., can solve the problem of insufficient accuracy of advanced geological prediction, achieve the effect of dynamic update, overcome overlap, and improve accuracy

Active Publication Date: 2019-07-19
SHANDONG UNIV
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Problems solved by technology

According to the inventor's understanding, the traditional advanced geological prediction method often relies on the previous drilling and survey results for the identification of stratum litholo

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  • Vehicle-mounted lithology and unfavorable geological precursor characteristic recognition system and method thereof
  • Vehicle-mounted lithology and unfavorable geological precursor characteristic recognition system and method thereof
  • Vehicle-mounted lithology and unfavorable geological precursor characteristic recognition system and method thereof

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[0044] The disclosure will be further described below in conjunction with the drawings and embodiments.

[0045] It should be pointed out that the following detailed descriptions are all exemplary and are intended to provide further descriptions of the application. Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs.

[0046] It should be noted that the terms used here are only for describing specific implementations, and are not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate There are features, steps, operations, devices, componen...

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Abstract

The invention provides a vehicle-mounted lithology and unfavorable geological precursor characteristic identification system and a method thereof. The vehicle is used for carrying a navigation positioning module, a rock element testing module, a rock sampling module, an automatic rock sample grinding module, a rock mineral testing module and a control and data analysis module, wherein the rock sample sampling module and the grinding module can automatically grind the sample required by the test, the rock element testing module and the rock mineral testing module can test the rock element and mineral content, and the control and data analysis module compares the element and mineral enrichment rules of the unfavorable geological influence area inside and outside the tunnel, and matches the result with typical unfavorable geologic body elements and mineral enrichment characteristic database to forecast the lithology change in front of the tunnel face and the occurrence characteristics ofunfavorable geologic bodies.

Description

technical field [0001] The present disclosure relates to the technical field of vehicle-mounted advanced geological prediction for tunnels, and in particular to a vehicle-mounted lithology and adverse geological precursor feature recognition system and method. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Large-scale water and mud inrush disasters are often encountered during the construction of deep-buried ultra-long tunnels. The occurrence of water and mud inrush disasters in tunnels is often related to formation lithology and fault fracture zones, alteration zones, karst and other unfavorable geological bodies. The occurrence characteristics of geological bodies determine the characteristics and scale of tunnel water and mud inrush disasters to a large extent. Therefore, accurate identification of formation lithology and occurrence c...

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Application Information

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IPC IPC(8): G01N23/207G01N23/2055G01N23/2005
CPCG01N23/2005G01N23/2055G01N23/2076G01N2223/056G01N2223/1016
Inventor 许振浩余腾飞谢辉辉石恒王文扬林鹏潘东东
Owner SHANDONG UNIV
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