公开(公告)号：US20220334035A1

公开(公告)日：2022-10-20

申请号：US17640915

申请日：2020-01-21

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai LI ,  Peng LIN ,  Heng SHI ,  Zhenhao XU ,  Youbo LIU ,  Tengfei YU ,  Zehua BU ,  Xiaote WANG

IPC: G01N3/08 ,  G01N29/07 ,  G01N3/42

Abstract: A predicting system and method for the uniaxial compressive strength of rock include a point loading strength test module, a longitudinal wave velocity test module, a rock rebound value test module and a strength prediction module, wherein the longitudinal wave velocity test module performs longitudinal wave velocity tests on the rock, and transfers the longitudinal wave velocity of the rock to the strength prediction module; the rock rebound test module performs rebound test on the rock, and transfers the rebound value of the rock to the strength prediction module; the point loading strength test module performs image acquisition on a fracture surface of the rock after being loaded and fractured by the point loading test, and calculates the area of the fracture surface; and the strength prediction module outputs a uniaxial compressive strength prediction result of the rock according to the received information and a preset prediction model.

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：US20210255114A1

公开(公告)日：2021-08-19

申请号：US16958017

申请日：2019-04-26

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai LI ,  Zhenhao XU ,  Heng SHI ,  Xiaoqi CHEN ,  Tengfei YU ,  Huihui XIE ,  Xin HUANG ,  Yuchao DU

IPC: G01N21/89 ,  G01N21/01 ,  G01N33/24

Abstract: A full-automatic rock specimen image acquisition device and method, the device includes a central controller and a lighting system, a rock mass attitude control system, a dust system and an image acquisition system connected to the central controller respectively; the lighting system includes a lighting chamber and light sources with adjustable light intensities, and the light sources with adjustable light intensities are uniformly arranged in the lighting chamber; the rock mass attitude control system includes a rotating stage disposed in the lighting chamber for carrying the rock, a rock holder disposed on the stage, and a rotating gripper disposed above the stage for turning over the rock; and the dust system is connected to the lighting chamber, and can diffuse the dust into the lighting chamber through an air compressor and control the dust concentration in the lighting chamber through an electrostatic precipitator.

公开(公告)号：US20230003674A1

公开(公告)日：2023-01-05

申请号：US17777700

申请日：2020-12-30

Applicant: SHANDONG UNIVERSITY

Inventor： Zhenhao XU ,  Peng LIN ,  Guanglu XU ,  Heng SHI ,  Tengfei YU ,  Zhaoyang WANG ,  Yilei HUA

IPC: G01N23/223

Abstract: A system and method for identifying lithology based on images and XRF mineral inversion solving the problem that conventional lithology identification relies on manual work, which is time-consuming, subjective and can cause misjudgment. The identification system includes an autonomous vehicle; an X ray fluorescence spectrometer probe, and tests surrounding rock element information; image collection device; and vehicle-mounted processor. The processor inverts the received surrounding rock element information into mineral information based on a Barthes-Niggli standard mineral calculation method; and receive surrounding rock images and a corresponding inclination angle thereof, convert the surrounding rock images into image information in a one-dimensional vector format, splice the image and mineral information which is in a one-dimensional format, and distinguish the spliced information based on a preset neural network to identify rock lithology.

公开(公告)号：US20220291105A1

公开(公告)日：2022-09-15

申请号：US17641007

申请日：2020-09-07

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai LI ,  Zhenhao XU ,  Heng SHI ,  Peng LIN ,  Tengfei YU ,  Huihui XIE ,  Yichi ZHANG ,  Ruiqi SHAO

IPC: G01N3/56

Abstract: A TBM-mounted surrounding rock wear resistance testing system and method, the system including: a fixing module, arranged on a TBM, the module has a movable end for extending to the surrounding rock of a tunnel; a surrounding rock polishing module on the movable end, the module includes a polishing mechanism for test area; a surrounding rock wear resistance testing module on the movable end, follows the movable end moving the test area, and including a mechanism for testing the wear resistance of the polished test area and a drive mechanism thereof; and a central control module, configured to control the motion states and operations of the fixing module, the surrounding rock polishing module and surrounding rock wear resistance testing module, and determine the wear resistance of the surrounding rock according to the wear resistance test result. The system can polish tunnel surrounding rock during TBM excavation and test wear resistance.

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：US20210215590A1

公开(公告)日：2021-07-15

申请号：US16957631

申请日：2019-04-26

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai LI ,  Zhenhao XU ,  Heng SHI ,  Huihui XIE ,  Tengfei YU ,  Wenyang WANG ,  Xin HUANG ,  Yuchao DU

IPC: G01N15/02 ,  G01N23/223

Abstract: An intelligent lithology identification system and method based on images and spectrum technology. The intelligent lithology identification system includes a rock shape analysis system, an image identification system, a sample processing system, a spectrum analysis system, and a central analysis and control system; wherein the central analysis and control system determines the final lithology of a sample according to the rock identification results from the image identification system and the analysis results from the spectrum analysis system. The technical solution further identifies the content and type of minerals by using spectrum technology, integrates and analyzes the results of spectrum analysis and image identification, and finally gives the lithology of the rock, which greatly improves the accuracy of lithology identification.