公开(公告)号：US20220355876A1

公开(公告)日：2022-11-10

申请号：US17618745

申请日：2020-12-30

Applicant: SHANDONG UNIVERSITY

Inventor： Zhenhao XU ,  Peng LIN ,  Tengfei YU ,  Huihui XIE ,  Ruiqi SHAO ,  Dongdong PAN ,  Fumin LIU ,  Gang LIU

IPC: B62D57/024 ,  E21D9/00 ,  B62D57/04 ,  G01N21/31 ,  G01N33/24

Abstract: A system and a method identify an adverse geological body in a tunnel based on hyperspectral technology analysis. The system includes a wall-climbing robot, a controller, and a signal processor, wherein the wall-climbing robot is provided with a plurality of groups of hyperspectral light sources and receivers, and the hyperspectral light sources and the receivers are arranged at intervals; the controller is configured to control the operation of the wall-climbing robot to ensure that the wall-climbing robot moves on a tunnel face according to a set spiral path; and the signal processor communicates with the receivers to receive the acquired spectrum data, draws a mineral distribution map of the tunnel face with the path raveled by the wall-climbing robot as a plane, and identifies an adverse geological body by identifying categories and distribution characteristics of the representative minerals.

公开(公告)号：US20210366186A1

公开(公告)日：2021-11-25

申请号：US17254590

申请日：2020-01-21

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai LI ,  Heng SHI ,  Zhenhao XU ,  Peng LIN ,  Fumin LIU ,  Si CHEN ,  Xiaote WANG

IPC: G06T17/05 ,  G06T7/00

Abstract: A TBM-mounted virtual reconstruction system and method for a tunnel surrounding rock structure, the method including: obtaining image information of surrounding rock; receiving the image information of the surrounding rock; transforming and splicing pictures taken at different angles, to form a complete image reflecting the surrounding rock; recognizing and describing a surrounding rock feature of the complete image, and transmitting the annotated image to a virtual reconstruction module; displaying the complete image with a description of the surrounding rock feature by using a virtual reality device, to reflect surrounding rock situations at different angles/different positions. This has the advantages of high equipment automation, not prolonging the construction time, not requiring the sketcher to enter the tunnel, precise surrounding rock feature parameters, and supporting remote control.

公开(公告)号：US20230144184A1

公开(公告)日：2023-05-11

申请号：US17881158

申请日：2022-08-04

Applicant: SHANDONG UNIVERSITY

Inventor： Zhenhao XU ,  Peng LIN ,  Shucai LI ,  Huihui XIE ,  Heng SHI ,  Zhaoyang WANG ,  Fumin LIU ,  Ruiqi SHAO

IPC: E21B49/00 ,  E21D9/00

CPC classification number: E21B49/003 ,  E21B49/005 ,  E21D9/003 ,  E21B2200/20

Abstract: An advanced geological prediction method and system based on perception while drilling, and relates to advanced geological prediction. The solution includes: acquiring drilling parameters during drilling; obtaining physical and mechanical parameters of tunnel surrounding rocks by inversion based on drilling parameters; acquiring rock slag or powder based on flushing fluid collected during drilling; acquiring geochemical characteristic parameters of rock slag or powder; and obtaining at least one adverse geology recognition result and surrounding rock classification result using a pre-trained deep learning model, and realizing advanced geological prediction. Combined with advanced geological drilling, the solution reflects geological characteristics from changes of physical and mechanical properties of tunnel surrounding rocks and changes of geochemical characteristic parameters. Advanced prediction of geology ahead of a tunnel face is realized by collection and analysis of drilling parameters and flushing fluid during advanced drilling and the fusion of big data and a deep learning algorithm.

公开(公告)号：US20220317021A1

公开(公告)日：2022-10-06

申请号：US17619203

申请日：2020-12-10

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai LI ,  Zhenhao XU ,  Ruiqi SHAO ,  Fumin LIU ,  Huihui XIE ,  Tengfei YU ,  Peng LIN ,  Dongdong PAN

IPC: G01N17/00 ,  G01N1/04 ,  G01N33/24 ,  G06N3/08

Abstract: The present disclosure provides a determining device for the weathering resistant capability of clastic rocks in a tunnel based on feldspar features, which overcomes the shortcomings of current evaluation methods, is easy to operate, can be used to detect the type, content, and crystal structure of feldspar in a rock stratum, and integrates the information by combining a computer deep learning method to determine the weathering resistant capability of clastic rocks containing different types of feldspar in a tunnel, with high accuracy.