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

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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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 lithology in the tunnel, and there is a big difference between the survey data and the actual exposure of the tunnel excavation, which leads to insufficient precision of the advanced geological forecast

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