CN111220567B - TBM-mounted rock alteration feature identification and geological prediction system and method - Google Patents
TBM-mounted rock alteration feature identification and geological prediction system and method Download PDFInfo
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Abstract
The disclosure provides a TBM (tunnel boring machine) carrying type rock alteration characteristic identification and geological prediction system and a method thereof. The system comprises a detection device, a detection device and a detection device, wherein the detection device is carried on the side surface of a supporting shoe of the open TBM through a telescopic mechanism; the detection device comprises a dryer and alteration characteristic detection equipment, wherein the dryer is used for drying the target surrounding rock, so that rock information acquired by the alteration characteristic detection equipment is not interfered by moisture; the alteration characteristic detection equipment is configured to acquire images, mineral types and contents and element types and contents of target surrounding rocks; the data analysis platform is internally pre-stored with an alteration characteristic database in which a quantitative characterization relation exists among the marker images, characteristic minerals, sensitive elements and surrounding rock alteration characteristics; the data analysis platform is configured to extract the marker images, the characteristic minerals and the sensitive elements related to the change of the alteration characteristics, compare the marker images, the characteristic minerals and the sensitive elements with the alteration characteristic database, predict the alteration characteristics of the surrounding rock in front of the face and finally realize the geological prediction function of the alteration zone.
Description
Technical Field
The disclosure belongs to the field of unfavorable geological precursor feature identification and tunnel advanced geological prediction, and particularly relates to a TBM (tunnel boring machine) carrying type rock alteration feature identification and geological prediction system and method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Igneous rocks such as granite and tuff are hard, complete and stable engineering rock masses and are generally considered to be ideal places for constructing tunnels and underground engineering. In addition, when a deep and long tunnel is built in igneous rocks such as granite and tuff, the tunnel is suitable to be tunneled by using a TBM (tunnel full-face rock tunneling machine), and the TBM has the remarkable advantages of high mechanical automation degree, high tunneling speed, high tunneling quality, small construction disturbance, high comprehensive economic and social benefits and the like, but has higher requirement on geological conditions, and when the geological conditions are poor, the construction by using a TBM method is easy to encounter disasters such as blocking, gushing water and the like. These disasters typically occur in fault fracture zones, highly weathered zones, and altered zones when tunnels are constructed in igneous rocks.
Among them, the altered zone produced by alteration is often accompanied by a large amount of metal mineral production, and for a long time, mineral deposit geology has conducted a large amount of studies on alterations associated with the first mineralization. With the massive construction of tunnels and underground engineering, the problems of water inrush, mud inrush, blocking and the like in the tunnel construction process are more and more prominent due to the weakening of the surrounding rock strength caused by the erosion effect, and people also carry out massive research on the development characteristics of an erosion zone and the water inrush mechanism of the tunnel passing through the erosion zone and obtain certain achievements. A great deal of research results show that before the altered zone is revealed in tunnel excavation, the characteristic precursor characteristics of the altered zone often appear, such as the content of diagenetic minerals such as quartz, feldspar, mica and the like is reduced, hydrothermal minerals (pyrite, gypsum, palygorskite and the like), calcite veins and clay minerals begin to appear and gradually increase in content, and the appearance of the precursor characteristics indicates that the altered zone is approached. However, the inventor finds that a front-line constructor in a tunnel mostly lacks good geological knowledge, cannot timely and effectively identify the premonitory characteristics of a change zone so as to adjust a construction scheme, and finally causes some disasters.
Disclosure of Invention
In order to solve the problems, the invention provides a TBM (tunnel boring machine) carrying type rock alteration characteristic identification and geological prediction system and a method thereof, which can quickly and accurately identify rock alteration characteristics in the TBM tunneling process, can carry out advanced geological prediction on an alteration zone in the TBM tunneling process, and have important significance for quick construction of the TBM and prevention of blocking and inrush water disasters caused by alteration.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
the first aspect of this disclosure provides a TBM carrying type rock alteration feature recognition and geology forecast system, which includes:
the detection device is carried on the side surface of the open TBM supporting shoe through a telescopic mechanism;
the detection device comprises a dryer and alteration characteristic detection equipment, wherein the dryer is used for drying the target surrounding rock, so that rock information acquired by the alteration characteristic detection equipment is not interfered by moisture; the alteration characteristic detection equipment is configured to acquire images, mineral types and contents and element types and contents of target surrounding rocks;
the data analysis platform is internally pre-stored with an alteration characteristic database in which a quantitative characterization relation exists among the marker images, characteristic minerals, sensitive elements and surrounding rock alteration characteristics; the data analysis platform is configured to extract the marker images, the characteristic minerals and the sensitive elements related to the change of the alteration characteristics, compare the marker images, the characteristic minerals and the sensitive elements with the alteration characteristic database, predict the alteration characteristics of the surrounding rock in front of the face and finally realize the geological prediction function of the alteration zone.
As an embodiment, the alteration characteristic detection device comprises an image collector, a near infrared analyzer and an X-ray diffraction analyzer;
the image collector is used for collecting images of target surrounding rocks;
the near-infrared analyzer is used for emitting a near-infrared spectrum to the target surrounding rock, and when the target surrounding rock contains altered minerals, the altered minerals generate a diagnostic spectrum absorption band of a near-infrared spectrum section, so that the types and the content of the minerals in the target surrounding rock are solved;
the X-ray diffraction analyzer is used for emitting X-rays, irradiating the X-rays to the target surrounding rock, receiving secondary characteristic X-rays generated by the target surrounding rock and further solving the types and the contents of elements in the target surrounding rock.
The method integrates an image recognition technology and a spectrum analysis technology, and accurately and quickly recognizes the alteration characteristics of the target surrounding rock from a plurality of angles of images, elements and minerals.
As an implementation mode, the TBM carrying type rock alteration characteristic identification and geological prediction system further comprises a protection device, wherein the protection device comprises a base, a side wall and a ceiling, the side wall is arranged on the base, and the ceiling is arranged at the top end of the side wall and used for preventing falling rocks and water seepage.
According to the embodiment, the protective device is arranged to protect the detection device in the rock alteration characteristic identification and geological prediction system, so that the working stability of the rock alteration characteristic identification and geological prediction system is improved.
In one embodiment, the number of the side walls is three, so that the protection device has an opening on the side close to the target surrounding rock. According to the embodiment, the detection device is prevented from being interfered by the outside, and the detection precision of the detection device is improved.
In one embodiment, the telescopic mechanism is vertically mounted on the top end of a column, and the column is vertically mounted on the base. The embodiment utilizes the stand to play a supporting role to telescopic machanism and detecting device, has ensured detecting device operational environment's stability.
In one embodiment, one end of the telescopic mechanism is connected with the driving mechanism of the detection device, and the other end of the telescopic mechanism is vertically and fixedly arranged on the side wall of the protection device.
In one embodiment, the telescopic mechanism is a hydraulic arm.
In one embodiment, the shaft of the telescopic mechanism of the detection device is further provided with a cross, the cross is provided with four wing parts with equal length, and the wing ends of the cross are respectively provided with a dryer, an image collector, a near infrared analyzer and an X-ray diffraction analyzer.
In the embodiment, the cross structure is utilized to install the dryer, the image collector, the near infrared analyzer and the X-ray diffraction analyzer, so that the detection work of each part in the detection device on the same part of the target surrounding rock is realized.
As an embodiment, in the data analysis platform, the process of extracting the marker image related to the alteration feature change is as follows:
and extracting characteristic information containing color, structure and structure in the target surrounding rock image by using a DenseNet model of a convolutional neural network through a multi-convolution layer and a multi-pooling layer, transmitting the characteristic information to the trained DenseNet model, and comparing and analyzing the characteristic information with a trained altered rock specimen image library to obtain a mark image related to the alteration characteristic change.
The second aspect of the present disclosure provides a working method of a TBM-mounted rock alteration feature identification and geological prediction system, which includes:
when the TBM performs tunneling work, the supporting shoes of the TBM are tightly attached to the surrounding rocks of the tunnel so as to provide the propelling force for the TBM cutter head system to cut the front rock mass, and at the moment, the telescopic mechanism is started to enable all parts on the detection device to be close to the target surrounding rocks;
starting a switch of the dryer, carrying out drying operation on the target surrounding rock by the dryer, and stopping the dryer after a preset time period;
starting the alteration characteristic detection equipment to work, collecting the image, the mineral type and content and the element type and content of the target surrounding rock and transmitting the images, the mineral type and content and the element type and content to a data analysis platform;
in the TBM tunneling process, the data analysis platform extracts the marker images, characteristic minerals and sensitive elements related to the change of the alteration characteristics, compares the marker images, the characteristic minerals and the sensitive elements with a preset alteration characteristic database, predicts the alteration characteristics of surrounding rocks in front of the tunnel face, finally realizes the geological prediction function of the alteration zone, and continuously corrects the geological prediction result and tends to be accurate in the rock alteration characteristic result data accumulation process.
As an implementation mode, the process of starting the alteration characteristic detection equipment to work, acquiring the image, the mineral type and content and the element type and content of the target surrounding rock and transmitting the image, the mineral type and content and the element type and content to the data analysis platform comprises the following steps:
rotating the cross frame 90 degrees clockwise, starting the near infrared analyzer to work, emitting a near infrared spectrum by the near infrared analyzer to irradiate on the target surrounding rock, then giving the mineral types and contents in the target surrounding rock according to the returned spectrum absorption band, and transmitting the result to the data analysis platform;
rotating the cross frame by 90 degrees clockwise, starting the work of the image collector, transmitting the information to a data analysis platform after obtaining the target surrounding rock picture, and identifying a mark image related to the change of the alteration characteristics in the data analysis platform;
and (3) continuing rotating the cross clockwise by 90 degrees, starting the X-ray diffraction analyzer to work, emitting X-rays and irradiating the X-rays on the target surrounding rock, then giving the types and the contents of elements in the target surrounding rock according to the received secondary characteristic X-rays, and transmitting the result to a data analysis platform.
The beneficial effects of this disclosure are:
(1) the dryer is installed in the detection device, dryness of the target surrounding rock can be guaranteed before detection, and interference of moisture on a detection result is reduced.
(2) The method is carried with the TBM, can acquire data of target surrounding rocks in the TBM tunneling process, analyzes the alteration characteristics of the surrounding rocks in the TBM tunneling process in real time through a developed data analysis platform, and provides geological data on a tunneling route about the rock alteration characteristics in time.
(3) According to the method, in the TBM tunneling process, the change rule of the rock alteration characteristic analysis result can be compared with an alteration characteristic quantitative representation relation database established in the system according to the continuous accumulation of the rock alteration characteristic analysis result, the alteration characteristic of surrounding rock in front of a tunnel face is predicted, the geological prediction function of an alteration zone is finally realized, and in the rock alteration characteristic result data accumulation process, the geological prediction result is continuously corrected and tends to be accurate.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
Fig. 1 is a schematic structural diagram of a TBM-mounted rock alteration feature identification and geological prediction system provided in an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of a detection apparatus provided in an embodiment of the present disclosure;
fig. 3 is a flowchart of a working method of the TBM-equipped rock alteration feature identification and geological prediction system according to the embodiment of the present disclosure.
Wherein 1, TBM supporting shoes; 2. a base; 3. a side wall; 4. a ceiling; 5. a column; 6. a hydraulic arm; 7. a detection device; 8. a data analysis platform; 71. a servo motor; 72. a cross; 73. a dryer; 74. a near infrared analyzer; 75. an image collector; 76. X-ray diffraction analyzer.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In the present disclosure, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only relational terms determined for convenience in describing structural relationships of the parts or elements of the present disclosure, and do not refer to any parts or elements of the present disclosure, and are not to be construed as limiting the present disclosure.
In the present disclosure, terms such as "fixedly connected", "connected", and the like are to be understood in a broad sense, and mean either a fixed connection or an integrally connected or detachable connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present disclosure can be determined on a case-by-case basis by persons skilled in the relevant art or technicians, and are not to be construed as limitations of the present disclosure.
As shown in fig. 1, the TBM-mounted rock alteration characteristic recognition and geological prediction system according to the present embodiment includes a detection device 7 and a data analysis platform 8, and the detection device 7 is mounted on the side surface of an open TBM support shoe 1 through a telescopic mechanism. The detection means 7 are in communication with a data analysis platform 8.
In a specific implementation, the telescopic mechanism employs a hydraulic arm 6.
It is understood that in other embodiments, the retractable mechanism may be implemented by other structures with retractable function.
In this embodiment, the detection device includes a dryer and a change characteristic detection device, and the dryer is used for drying the target surrounding rock, so that rock information acquired by the change characteristic detection device is not interfered by moisture; the alteration characteristic detection device is configured to acquire an image of the target surrounding rock, mineral type and content, and element type and content.
The dryer 73 is installed in the detection device 7 of the embodiment, so that the dryness of the target surrounding rock can be ensured before detection, and the interference of moisture on the detection result is reduced.
In the present embodiment, the alteration feature detection apparatus includes an image collector 75, a near-infrared analyzer 74, and an X-ray diffraction analyzer 76;
the image collector 75 is used for collecting images of the target surrounding rock;
the near-infrared analyzer 74 is used for emitting a near-infrared spectrum to the target surrounding rock, when the target surrounding rock has the altered minerals, the altered minerals are irradiated by the spectrum to absorb the spectrum of a certain spectral band so as to generate a diagnostic spectral absorption band of the near-infrared spectral band, and the near-infrared spectrum analyzer is used for collecting the spectral data, extracting, interpreting and analyzing so as to obtain the types and the content of the minerals in the target surrounding rock;
the main band distributions of common altered minerals are shown in the following table:
the X-ray fluorescence analyzer 76 is effective for the type and content of the elements in the target surrounding rock. The X-ray emitted by the instrument can excite the target surrounding rock to enable elements contained in the rock to radiate characteristic X-ray fluorescence, and after the characteristic X-ray fluorescence is absorbed again, the qualitative and quantitative analysis can be carried out on the types and the contents of the elements in the target surrounding rock according to the wavelength energy and the intensity of the fluorescence.
The method integrates an image recognition technology and a spectrum analysis technology, and accurately and quickly recognizes the alteration characteristics of the target surrounding rock from a plurality of angles of images, elements and minerals.
As shown in fig. 1, the TBM-mounted rock alteration feature recognition and geological prediction system further comprises a protection device, wherein the protection device comprises a base 2, a side wall 3 and a ceiling 4, the side wall 3 is arranged on the base 2, and the ceiling 4 is arranged at the top end of the side wall 3 and used for preventing rockfall and water seepage.
According to the embodiment, the protective device is arranged to protect the detection device in the rock alteration characteristic identification and geological prediction system, so that the working stability of the rock alteration characteristic identification and geological prediction system is improved.
As a specific embodiment, the number of the side walls is three, so that the protection device has an opening at the side close to the target surrounding rock. According to the embodiment, the detection device is prevented from being interfered by the outside, and the detection precision of the detection device is improved.
In one embodiment, the telescopic mechanism is vertically installed at the top end of the upright post 5, and the upright post 5 is vertically installed on the base 2. The embodiment utilizes the stand to play a supporting role to telescopic machanism and detecting device, has ensured detecting device operational environment's stability.
In one embodiment, one end of the telescopic mechanism is connected with the driving mechanism of the detection device, and the other end of the telescopic mechanism is vertically and fixedly arranged on the side wall of the protection device. In the present embodiment, the driving mechanism is a servo motor 71.
As shown in fig. 2, a cross 72 is further mounted on the shaft of the telescopic mechanism of the detection device 7, the cross 72 has four wing portions with equal length, and a dryer 73, an image collector 75, a near-infrared analyzer 74 and an X-ray diffraction analyzer 76 are respectively mounted on the wing ends of the cross 72.
In this embodiment, the hydraulic arm 6 is vertically and fixedly installed on the side wall of the protecting device, the front end of the hydraulic arm is connected with the servo motor 71 in the detecting device, and the distance between each instrument in the detecting device 7 and the side wall of the target surrounding rock can be controlled by the hydraulic arm 6 through the extension and contraction of the hydraulic arm. The rear end of the servo motor 71 is fixedly arranged at the front end of the hydraulic arm, and the shaft part of the front end is provided with a cross 72. The rotation of the servo motor and the four equal-length wing parts of the cross ensure that the four devices, namely the dryer, the image collector, the near-infrared analyzer and the X-ray fluorescence analyzer can sequentially carry out work on the same part in the target surrounding rock.
In the embodiment, the cross structure is utilized to install the dryer, the image collector, the near infrared analyzer and the X-ray diffraction analyzer, so that the detection work of each part in the detection device on the same part of the target surrounding rock is realized.
In specific implementation, a corrosion change characteristic database in which a quantitative characterization relation exists among a mark image, characteristic minerals, sensitive elements and surrounding rock corrosion change characteristics is prestored in a data analysis platform; the data analysis platform is configured to extract the marker images, the characteristic minerals and the sensitive elements related to the change of the alteration characteristics, compare the marker images, the characteristic minerals and the sensitive elements with the alteration characteristic database, predict the alteration characteristics of the surrounding rock in front of the face and finally realize the geological prediction function of the alteration zone.
Specifically, in the data analysis platform, the process of extracting the marker image related to the alteration characteristic change is as follows:
and extracting characteristic information containing color, structure and structure in the target surrounding rock image by using a DenseNet model of a convolutional neural network through a multi-convolution layer and a multi-pooling layer, transmitting the characteristic information to the trained DenseNet model, and comparing and analyzing the characteristic information with a trained altered rock specimen image library to obtain a mark image related to the alteration characteristic change.
Wherein the alteration features include: alteration types, combinations, and distribution characteristics thereof.
As shown in fig. 3, the working method of the TBM-equipped rock alteration feature recognition and geology prediction system according to the present embodiment includes:
step A: when the TBM performs tunneling work, the supporting shoes 1 of the TBM can cling to the surrounding rock of the tunnel so as to provide propelling force for the TBM cutter head system to cut the front rock mass, and at the moment, the hydraulic arm 6 is started, so that all parts on the detection device 7 are close to the target surrounding rock;
and B: starting a switch of the dryer 73, starting the dryer 73 to blow hot air and perform drying operation on the target surrounding rock, and stopping the dryer after a preset time period (for example: 3 minutes);
and C: starting the servo motor 71, rotating the servo motor 90 degrees clockwise, stopping working, starting the near-infrared spectrometer 74 to emit near-infrared spectrum to irradiate the target surrounding rock, then giving out the mineral types and contents in the target surrounding rock according to the returned spectrum absorption band, and transmitting the result to the data analysis platform 8;
step D: continuing to start the servo motor 71 and stopping working after clockwise rotating by 90 degrees, starting working by the image collector 75, transmitting the information to the data analysis platform 8 after obtaining the target surrounding rock picture, and identifying a mark image related to the change of the alteration characteristics in the data analysis platform;
step E: the servo motor 72 is continuously started and stops working after rotating clockwise by 90 degrees, the X-ray diffraction analyzer 76 starts working, emits X-rays and irradiates the target surrounding rock, then gives the types and the contents of elements in the target surrounding rock according to the received secondary characteristic X-rays, and transmits the result to the data analysis platform 8;
step F: in the TBM tunneling process, the data analysis platform extracts the marker images, characteristic minerals and sensitive elements related to the change of the alteration characteristics, compares the marker images, the characteristic minerals and the sensitive elements with a preset alteration characteristic database, predicts the alteration characteristics of surrounding rocks in front of the tunnel face, finally realizes the geological prediction function of the alteration zone, and continuously corrects the geological prediction result and tends to be accurate in the rock alteration characteristic result data accumulation process.
The system of the embodiment is carried with the TBM, can acquire data of target surrounding rocks in the TBM tunneling process, analyzes the alteration characteristics of the surrounding rocks in the TBM tunneling process in real time through a developed data analysis platform, and provides geological data about the rock alteration characteristics on a tunneling route in time.
According to the system, in the TBM tunneling process, the change rule of the analysis result of the rock alteration characteristic can be compared with an alteration characteristic quantitative characterization relation database established in the system according to the continuous accumulation of the analysis result of the rock alteration characteristic, the alteration characteristic of surrounding rock in front of a tunnel face is predicted, the geological prediction function of an alteration zone is finally realized, and in the rock alteration characteristic result data accumulation process, the geological prediction result is continuously corrected and tends to be accurate.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (8)
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010065242.4A CN111220567B (en) | 2020-01-20 | 2020-01-20 | TBM-mounted rock alteration feature identification and geological prediction system and method |
| PCT/CN2020/073618 WO2021146949A1 (en) | 2020-01-20 | 2020-01-21 | Tbm-mounted rock alteration feature identification and geological prediction system and method therefor |
| AU2020425149A AU2020425149B2 (en) | 2020-01-20 | 2020-01-21 | Tbm-mounted rock alteration characteristics identification and geological prediction system, and method thereof |
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| CN202010065242.4A CN111220567B (en) | 2020-01-20 | 2020-01-20 | TBM-mounted rock alteration feature identification and geological prediction system and method |
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| CN111220567A CN111220567A (en) | 2020-06-02 |
| CN111220567B true CN111220567B (en) | 2021-06-01 |
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| CN111812136B (en) * | 2020-07-10 | 2021-07-06 | 山东大学 | TBM-mounted mineral composition detection method, advanced geological prediction method and system |
| CN112798592B (en) * | 2020-12-28 | 2022-03-22 | 山东大学 | Rock strength prediction system and method based on lithology characteristic analysis |
| CN114135279B (en) * | 2021-11-11 | 2024-08-13 | 山东大学 | Quick identification and prediction system and method for alteration zone based on ground characteristic while-drilling test |
| CN114969897B (en) * | 2022-04-28 | 2024-03-26 | 中国水利水电第六工程局有限公司 | Surrounding environment detection method in TBM construction |
| CN115034446B (en) * | 2022-05-25 | 2024-10-15 | 同济大学 | A method for identifying and predicting adverse geological conditions based on TBM operation data |
| CN115753632B (en) * | 2022-10-19 | 2024-05-31 | 山东大学 | Real-time identification method and system of unfavorable geological bodies in tunnels based on image spectrum |
| CN115641453A (en) * | 2022-10-19 | 2023-01-24 | 山东大学 | A method and system for identifying weathering degree of tunnel surrounding rock based on hyperspectral technology |
| CN117211886B (en) * | 2023-11-07 | 2024-01-19 | 南京派光智慧感知信息技术有限公司 | Multi-element information integrated acquisition system for tunnel face and application method of multi-element information integrated acquisition system |
| CN117572522B (en) * | 2023-11-16 | 2024-09-10 | 中国科学院广州地球化学研究所 | Method for exploring side or deep part of hydrothermal deposit |
| CN119090313B (en) * | 2024-11-01 | 2024-12-27 | 山东大学 | Intelligent decision method and system for prevention and control of TBM construction disturbance induced geological disaster |
| CN119312705A (en) * | 2024-12-19 | 2025-01-14 | 石家庄铁道大学 | A method and system for detecting and analyzing alteration zones |
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| JPH10153666A (en) * | 1996-11-25 | 1998-06-09 | Kumagai Gumi Co Ltd | Prediction method for geology of crust in face front in tunnel |
| CN203037864U (en) * | 2013-01-07 | 2013-07-03 | 山东大学 | Forward three-dimensional induced polarization method advanced detection apparatus system for TBM construction tunnel |
| WO2015103721A1 (en) * | 2014-01-07 | 2015-07-16 | 山东大学 | Comprehensive advance geological detection system mounted on tunnel boring machine |
| CN203658592U (en) * | 2014-01-07 | 2014-06-18 | 山东大学 | A device for carrying three kinds of advanced geological prediction instruments on a TBM |
| CN105352550B (en) * | 2015-12-01 | 2018-06-05 | 武汉武大卓越科技有限责任公司 | A kind of Tunnel testing multiple-sensor integration platform |
| CN107831529A (en) * | 2017-10-19 | 2018-03-23 | 云南省水利水电勘测设计研究院 | A kind of method for lifting tunnel advance geologic prediction accuracy rate |
| CN207867673U (en) * | 2017-11-30 | 2018-09-14 | 安徽磐岳科技有限公司 | A kind of data acquisition device of Geological Hazards of debris monitoring system |
| CN108798689B (en) * | 2018-06-01 | 2020-05-22 | 中国科学院武汉岩土力学研究所 | Combined TBM and the driving method for realizing advanced pilot hole and advanced detection |
| CN108798690B (en) * | 2018-06-01 | 2020-02-07 | 中国科学院武汉岩土力学研究所 | Combined TBM for realizing geological detection and geological detection tunneling method |
| CN108776354B (en) * | 2018-07-20 | 2019-07-12 | 山东大学 | A focused depth sounding type three-dimensional excited polarization advanced detection system and method mounted on a TBM |
| CN108828678B (en) * | 2018-08-25 | 2020-05-29 | 安徽省公路工程检测中心 | Advanced geological detection system for tunnel construction |
| CN112525093B (en) * | 2018-09-19 | 2022-07-22 | 成都理工大学 | A system for building 3D tunnel model based on double shield TBM process |
| CN109375263B (en) * | 2018-12-04 | 2020-04-21 | 山东大学 | A kind of earthquake advance prediction device, system and method suitable for drilling and blasting tunnel |
| CN110109895B (en) * | 2019-03-29 | 2021-05-28 | 山东大学 | Combined prediction method and application of surrounding rock classification for TBM tunnel |
| CN110031491B (en) * | 2019-04-04 | 2020-05-26 | 山东大学 | Vehicle-mounted lithology and unfavorable geological precursor feature identification system and method |
| CN110043267B (en) * | 2019-04-04 | 2020-07-31 | 山东大学 | TBM-mounted advanced geological prediction system and method based on identification of lithology and adverse geological precursor features |
| CN110031493B (en) * | 2019-04-04 | 2020-07-31 | 山东大学 | Lithology intelligent identification system and method based on image and spectrum technology |
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| AU2020425149B2 (en) | 2024-03-14 |
| CN111220567A (en) | 2020-06-02 |
| WO2021146949A1 (en) | 2021-07-29 |
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