WO2022007365A1 - Procédé de détection de composant minéral monté en tbm et procédé et système de prévision géologique avancée - Google Patents

Procédé de détection de composant minéral monté en tbm et procédé et système de prévision géologique avancée Download PDF

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Publication number
WO2022007365A1
WO2022007365A1 PCT/CN2020/141565 CN2020141565W WO2022007365A1 WO 2022007365 A1 WO2022007365 A1 WO 2022007365A1 CN 2020141565 W CN2020141565 W CN 2020141565W WO 2022007365 A1 WO2022007365 A1 WO 2022007365A1
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mineral
tbm
rock
test
area
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PCT/CN2020/141565
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English (en)
Chinese (zh)
Inventor
许振浩
杨为民
王朝阳
谢辉辉
许广璐
王欣桐
潘东东
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山东大学
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Priority to AU2020449437A priority Critical patent/AU2020449437B2/en
Publication of WO2022007365A1 publication Critical patent/WO2022007365A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
    • G01N23/223—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material by irradiating the sample with X-rays or gamma-rays and by measuring X-ray fluorescence
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V5/00—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity

Definitions

  • the invention belongs to the field of rock mineral composition analysis, and in particular relates to a TBM-mounted mineral composition detection method, an advanced geological prediction method and a system.
  • the strength of the rock has a direct impact on the construction progress and safety of the project.
  • the strength of minerals is an important index to evaluate the strength of the surrounding rock. Therefore, the real-time detection of the mineral composition of the rock during the tunneling process can provide a basis for the parameter setting of the tunnel boring machine (TBM, Tunnel Boring Machine, full-section rock tunnel boring machine).
  • TBM Tunnel Boring Machine
  • full-section rock tunnel boring machine the parameter setting of the tunnel boring machine
  • TBM structure of TBM is complex and the overall length is relatively long, so that the unsupported part of the space after excavation is almost completely filled with TBM.
  • the unsupported part has serious risks of collapse and water and mud inrush, which is very dangerous for traditional manual operations.
  • XRF X Ray Fluorescence, X-ray Fluorescence Spectroscopy
  • the rock elements are highly heterogeneous on a small scale.
  • the rock mass is composed of rocks and structural planes.
  • phenomena such as magma interspersed and stratigraphic dislocation caused by geological tectonic movement
  • different lithologies suddenly change in the same space. It also results in a high degree of heterogeneity of the rock mass in the mesoscale range. This inhomogeneity makes it difficult for element detection methods to delineate the same lithological range, and it also makes it difficult to establish subsequent mineral sequence characteristics and advance geological prediction.
  • the first aspect of the present invention provides a TBM-mounted mineral composition detection method, which can adaptively select the surrounding rock test area in the TBM excavation tunnel, and can follow the tunnel excavation process and automatically detect the surrounding rock in real time. rock mineral composition.
  • a TBM-mounted mineral composition detection method comprising:
  • the mineral types are obtained by standard mineral calculation methods, and the rock types and mineral content intervals are determined in combination with the pre-built element-mineral-rock database.
  • the second aspect of the present invention provides an advanced geological prediction method, which can follow the mileage of the TBM tunnel excavation, and use the above-mentioned TBM on-board mineral composition detection method for mineral detection, so as to provide a relevant data basis for advanced geological prediction and improve Stability and safety of TBM excavated tunnels.
  • An advanced geological prediction method comprising:
  • the mineral sequence characteristics of the entire tunnel are constructed to achieve advanced geological prediction.
  • a third aspect of the present invention provides a TBM-mounted XRF element testing system, which can adaptively select the surrounding rock testing area in the tunnel excavated by the TBM, and can automatically detect the mineral composition of surrounding rock in real time following the tunnel excavation process.
  • a TBM-mounted XRF element testing system including a control and data processing terminal and an XRF detector, the XRF detector is mounted on the TBM, and the XRF detector is used to detect the mineral element composition and content of surrounding rocks in a test area ;
  • the control and data processing terminal includes:
  • a test area selection module which is used to adaptively select the surrounding rock test area in the tunnel excavated by the TBM;
  • a data receiving module which is used to receive the mineral element composition and content of the surrounding rock in the surrounding rock test area
  • the rock determination module is used to obtain the types of minerals by using the standard mineral calculation method, and determine the types of rocks and mineral content intervals in combination with the pre-built element-mineral-rock database.
  • the fourth aspect of the present invention provides an advanced geological prediction system, which can follow the mileage of the TBM tunneling tunnel, and use the above-mentioned TBM-mounted mineral composition detection method for mineral detection, thereby providing a relevant data basis for advanced geological prediction and improving Stability and safety of TBM excavated tunnels.
  • An advanced geological forecasting system comprising:
  • a mineral detection module which is used for following the mileage of the tunnel excavated by the TBM, and adopts the TBM-mounted mineral composition detection method as claimed in any one of claims 1 to 5 to perform mineral detection;
  • the advanced geological prediction module is used to construct the mineral sequence characteristics of the entire tunnel to realize the advanced geological prediction.
  • the present invention adopts TBM to carry, and can follow the tunnel excavation process to detect the mineral composition of surrounding rock in real time;
  • the present invention adopts self-adaptive selection of the surrounding rock test area in the TBM excavation tunnel, which can accurately determine different rock types, and then obtain the full-mileage lithology division;
  • the TBM onboard mineral composition detection method is used to detect minerals, and then the mineral sequence characteristics of the entire tunnel are obtained, which realizes advanced geological prediction and improves the stability and safety of the TBM excavated tunnel. .
  • FIG. 1 is a flow chart of a TBM-mounted mineral composition detection method according to an embodiment of the present invention.
  • Fig. 2 is the front view of the working state of the TBM mounted mineral composition detection system in the embodiment of the present invention
  • FIG. 3 is a front view of a robotic arm in an embodiment of the present invention.
  • FIG. 4 is a front view of a TBM-mounted mineral composition detection system in an embodiment of the present invention.
  • FIG. 5 is a sectional view of a TBM mounted mineral composition detection system in an embodiment of the present invention.
  • FIG. 6 is a front view of a control and data processing terminal according to an embodiment of the present invention.
  • orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, and is only a relational word determined for the convenience of describing the structural relationship of each component or element of the present invention, and does not specifically refer to any component or element in the present invention, and should not be construed as a reference to the present invention. Invention limitations.
  • FIG. 1 shows a flow chart of a TBM-mounted mineral composition detection method of the present embodiment.
  • the TBM-mounted mineral composition detection method of this embodiment includes:
  • S101 Self-adaptively select the surrounding rock test area in the tunnel excavated by the TBM.
  • the selected test area is carried out in an adaptive manner, with the manually input point to be tested as the origin, and the area to be tested is expanded around in the form of a polygon grid. During the expansion process, the polygon grid grid point is used as a new test point.
  • S102 Receive the mineral element composition and content of the surrounding rock in the surrounding rock test area.
  • the XRF detector mounted on the TBM is generally used for measurement.
  • S103 Obtain the types of minerals by using a standard mineral calculation method, and determine the rock types and mineral content intervals in combination with a pre-built element-mineral-rock database.
  • the database is established in the tunnel construction area. Through the collection of surface specimens in the construction area and the collection of drilling cores for engineering surveys, the rock specimens in the construction area are obtained, the composition and content of elements and minerals are detected, and an element-mineral-rock database suitable for this area is established.
  • the mineral content interval is matched with the mineral type and content obtained by the test. If no matching rock type is found in the pre-built element-mineral-rock database, the rock type is determined manually, and the current mineral element composition and content, as well as the corresponding mineral type and rock type are stored in the element- Mineral-rock database to increase the number of databases and improve accuracy.
  • S201 follow the mileage of the TBM to excavate the tunnel, and use the TBM-mounted mineral composition detection method as described in Embodiment 1 to perform mineral detection;
  • S202 Construct the mineral sequence characteristics of the entire tunnel to realize advance geological prediction.
  • This embodiment can follow the mileage of the TBM tunnel excavation and use the above-mentioned TBM on-board mineral composition detection method for mineral detection, thereby providing a relevant data basis for advanced geological pre-processing and improving the stability and safety of the TBM excavation tunnel.
  • this embodiment provides a TBM-mounted XRF element testing system, including a control and data processing terminal and an XRF detector, the XRF detector is mounted on the TBM, and the XRF detector is used to detect Mineral element composition and content of surrounding rocks in the test area;
  • the control and data processing terminal includes:
  • a test area selection module which is used to adaptively select the surrounding rock test area in the tunnel excavated by the TBM;
  • a data receiving module which is used to receive the mineral element composition and content of the surrounding rock in the surrounding rock test area
  • the rock determination module is used to obtain the types of minerals by using the standard mineral calculation method, and determine the types of rocks and mineral content intervals in combination with the pre-built element-mineral-rock database.
  • the support shoe of the TBM is connected to the robotic arm 1;
  • the robotic arm 1 is a folding arm type and includes at least two joints;
  • the end of the robotic arm is fixed with an element detection system 2, and the end of the robotic arm 1 is also provided with a pressure sensor 9.
  • the pressure sensor 9 is used to detect the fit between the element detection system 2 and the surrounding rock of the tunnel and feed it back to the control and data processing terminal 3;
  • the control and data processing terminal 3 is used to control the robotic arm 1 to drive the elements
  • the detection system 2 moves to the position of the point to be tested, receives the elemental composition of the matched tunnel surrounding rock detected by the elemental detection system, and then inverts the type and content of minerals.
  • the robotic arm 1 includes at least four joints, and the overall motion dimension is three-dimensional.
  • the robotic arm 1 of this embodiment includes a base 4, a first joint 5, a second joint 6, a third joint 7 and a fourth joint 8 connected in sequence; the element detection system 2 is fixed at the end of the fourth joint 8;
  • the movement mode of the first joint 5 is horizontal rotation, and the rotation angle is 360°, ensuring that the working space of the robotic arm covers a circle in the horizontal direction;
  • the movement mode of the second joint 6 is vertical rotation, which increases the working range of the mechanical arm in the vertical and horizontal directions;
  • the movement mode of the third joint 7 is vertical rotation and rotation along the joint axis, and the rotation angle along the joint axis is 360°; the working range of the mechanical arm is increased, and the end of the mechanical arm can be flexibly moved.
  • the movement mode of the fourth joint 8 is rotation along the rotation angle of the third joint and rotation along the joint axis, and the rotation angle along the joint axis is 360°. Since both the third and fourth joints can rotate, they can achieve a larger angle and more dimensions of movement at the end of the robotic arm 1 after mutual cooperation to fine-tune the element detection system.
  • robotic arms there are many types of robotic arms, and the robotic arms can also adopt other structural forms, but they are more flexible with more joints, increased motion angles, and increased motion dimensions.
  • the first joint 5 is mounted on the base 4, and the base 4 is fixed on the support shoe of the TBM.
  • the base 4 , the first joint 5 , the second joint 6 , the third joint 7 and the fourth joint 8 are all provided with a driving mechanism, and the driving mechanism is connected to the control and data processing terminal 3 , The control and data processing terminal 3 is used to control the movement of the driving mechanism to drive the next joint action.
  • the drive mechanism includes a reducer and a motor to control the action of the next joint connected to it.
  • each joint of the manipulator is equipped with a position sensor, and the position sensor is used to detect the position of the manipulator in real time and feed it back to the control and data processing terminal 3 .
  • the element detection system 2 includes a box body, and an XRF detector 10 is arranged in the box body to detect the element composition of the surrounding rock of the tunnel; a camera is provided at one end of the box body close to the rock surface 11, which is used to observe the situation in the tunnel and guide the action direction of the manipulator; a control circuit 12 is arranged inside the box to transmit the data obtained by each instrument to the control and data processing terminal 3.
  • the element detection system 2 is wrapped with a protective cover 13 to prevent damage from falling rocks.
  • the end of the protective cover is provided with a card slot 14, which is used to increase the protection of the protective cover in the non-working state.
  • an ultrasonic distance sensor 15 is provided at one end of the box body close to the rock surface, and the ultrasonic distance sensor 15 is used to detect the vertical degree of the detection head and the rock surface.
  • the control and data processing terminal 3 is located in the main control room of the TBM, and includes a control box 16 and a computer 17 .
  • the robotic arm 1 is connected to the control box 16 through a cable, and power lines and data transmission lines are embedded in the cable.
  • the control box 16 controls the movement of the robotic arm 1 by receiving the instructions sent by the computer terminal, and the computer 17 is used for receiving XRF, ultrasonic detector data, and camera images.
  • the computer 17 is also used to send instructions to the control box to control the movement of the robotic arm 1 and the element detection system 2 to select a test area for testing; the computer 17 is also used to improve the Type mineral inversion method was used to calculate the type and content of minerals.
  • Mineral species analysis is performed on the detected mineral element components to obtain the mineral species and content. At this time, a test cycle is completed, and the next detection cycle is continued.
  • Step 1 Set the coordinate position of the rock to be tested
  • Step 2 turn on the mechanical arm 1, and make the mechanical arm 1 automatically move to the position near the point to be measured and not fit through the control and the control of the data processing terminal 3;
  • Step 3 The robotic arm 1 automatically performs fine-tuning through the ultrasonic distance sensor 15, so that the X-ray test port of the element detection system 2 is perpendicular to the rock surface to be tested; the robotic arm 1 automatically moves to make the element detection system 2 close to the rock surface to be tested. This process Keep it vertical until the pressure sensor 9 shows a reading;
  • Step 4 Turn on the XRF detector 10, enter the ore mode, start to detect the element composition of the surrounding rock and wait for completion, and then transmit the data to the control and data processing terminal 3.
  • Step 5 The robotic arm 1 adaptively selects a test area based on the test points determined in step 1, and repeats steps 2, 3, and 4 for all test points in the area until completion.
  • Step 6 Perform mineral inversion using the improved standard mineral calculation method for all data. At this point, one test cycle is completed, and the next test cycle is continued.
  • TBM-mounted surrounding rock mineral composition detection system based on XRF mineral inversion of this embodiment needs to manually control the supplementary measurement of a single point, manually input the coordinates of the position to be measured, and do not perform steps 5 and 6.
  • the present embodiment also provides an advanced geological prediction system, which includes:
  • a mineral detection module which is used to follow the mileage of the tunnel excavated by the TBM, and use the above-mentioned TBM-mounted mineral composition detection method for mineral detection;
  • the advanced geological prediction module is used to construct the mineral sequence characteristics of the entire tunnel to realize the advanced geological prediction.
  • This embodiment can follow the mileage of the TBM tunnel excavation, and use the above-mentioned TBM on-board mineral composition detection method for mineral detection, thereby providing a relevant data basis for advanced geological pre-processing, and improving the stability and safety of the TBM tunnel excavation.

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Abstract

L'invention concerne un procédé de détection de composant minéral monté en TBM et un procédé et un système de prévision géologique avancée. Le procédé de détection de composant minéral monté en TBM comprend les étapes suivantes: sélectionner de manière adaptative une région de test de roche environnante dans un tunnel percé de TBM; recevoir un composant d'élément minéral et le contenu d'une roche environnante dans la région de test de roche environnante; et obtenir le type de minéral à l'aide d'un procédé de calcul de minéraux de norme, et déterminer un type de roche et un intervalle de teneur en minéraux en combinant le type du minéral avec une base de données de roche minérale d'élément pré-établie.
PCT/CN2020/141565 2020-07-10 2020-12-30 Procédé de détection de composant minéral monté en tbm et procédé et système de prévision géologique avancée WO2022007365A1 (fr)

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CN115931943B (zh) * 2022-12-16 2023-08-08 中国地质科学院探矿工艺研究所 一种现场取样、混样、检测及高精度缩分一体化装置

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