Unfavorable geologic body identification method, system and equipment during tunneling of TBM (Tunnel Boring Machine)

Abstract

The invention discloses an unfavorable geologic body identification method, system and equipment during tunneling of a TBM (Tunnel Boring Machine), and relates to the technical field of tunnel advanced geological forecast. Radar detectors with different frequencies are mounted on a cutterhead of the TBM, and geologic body data of different distances and different precisions of a geologic body in the tunneling process are obtained during tunneling of the TBM; a high-resolution three-dimensional image is generated according to the phase differences of the geologic body in different time periods, and a three-dimensional recognition model is constructed according to the phase differences of the geologic body in different detection distances in different time periods, so that precise recognition of the unfavorable geologic body is realized; in the process, radar detectors with different frequencies are adopted to obtain detection data with different precisions and different distances, so that organic combination of the detection distance and the detection precision is realized, comprehensive and accurate geological information can be extracted from the detection data, and the unfavorable geologic body can be comprehensively and accurately identified.

Description

Technical Field

[0001] The invention relates to the technical field of tunnel advanced geological prediction, and in particular to a method, system, equipment and medium for identifying bad geological bodies during tunneling by a TBM (Transboundary Machine Machine). Background Art

[0002] Many adverse geological conditions are often encountered during tunnel construction, especially for long tunnels. Due to the deep burial depth and long tunnel line, it is difficult to fully identify whether there are weak broken zones, joint development areas, faults and karst fissure water and other adverse geological conditions along the tunnel in the early stage of construction. This can easily lead to landslides, water inrush, mud inrush and other accidents during construction, which brings great difficulties to the construction and even causes personal injury accidents.

[0003] TBM occupies a large space near the face, basically filling the entire tunnel section, which brings great difficulties to the data collection work of advanced geological prediction. Some conventional advanced prediction methods suitable for drilling and blasting construction, such as the installation of excitation and receiving devices, data processing and interpretation, etc., need to be re-explored and studied; in addition, TBM has a fast excavation speed and poor adaptability to changes in geological conditions ahead of the face, which puts higher requirements on the advanced prediction method in terms of speed, real-time and prediction accuracy.

[0004] At present, the prediction methods commonly used for advanced geological prediction are mainly TSP, BEAM, HSP and CSAMT; the BEAM method is a focused current frequency domain induced polarization method, and the TSP method, BEAM method and HSP method are difficult to apply in tunnels; these prediction methods all use detectors of specific frequencies to obtain detection signals of geological bodies, and analyze the geological conditions based on the detection signals; but the detection data obtained in this way only contains information of specific accuracy or specific blocks, and the detection data is only simply identified, and comprehensive and accurate geological information cannot be extracted from the detection data, which makes it difficult to comprehensively and accurately identify unfavorable geological bodies. Summary of the invention

[0005] The embodiments of the present invention provide a method, system and device for identifying bad geological bodies during excavation by a TBM, which can solve the problem in the prior art that it is difficult to comprehensively and accurately identify bad geological bodies.

[0006] The embodiment of the present invention provides a method for identifying bad geological bodies during excavation by a TBM tunneling machine. A 100 MHz radar detector, a 200 MHz radar detector, and a 400 MHz radar detector are arranged on the cutterhead of the TBM tunneling machine. The method comprises the following steps:

[0007] After the TBM starts to operate, the radar detection signal in the long-distance area is obtained according to the 100MHz radar detector, the radar detection signal in the medium-long distance area is obtained according to the 200MHz radar detector, and the radar detection signal in the short-distance area is obtained according to the 400MHz radar detector; multiple detection images are generated according to the phase difference between the radar detection signals in the long-distance area, the radar detection signals in the medium-long distance area, and the radar detection signals in the short-distance area at different time periods, and a three-dimensional image of the geological body is generated according to the detection images;

[0008] Generate a three-dimensional recognition model based on the phase difference between radar detection signals in different detection areas at different time periods;

[0009] The three-dimensional image of the geological body to be tested is input into the three-dimensional recognition model to obtain the area of ​​the bad geological body.

[0010] Preferably, the 100MHz radar detector is used to acquire radar detection signals within a range of 30m, the 200MHz radar detector is used to acquire radar detection signals within a range of 10m, and the 400MHz radar detector is used to acquire radar detection signals within a range of 5m;

[0011] After the TBM tunneling machine starts operating, the 100MHz radar detector is continuously turned on, and the 200MHz radar detector and the 400MHz radar detector are turned off; when the distance calibration range is 10m, the 200MHz radar detector is continuously turned on, and the 100MHz radar detector is turned off; when the distance calibration range is 5m, the 400MHz radar detector is continuously turned on, and the 200MHz radar detector is turned off.

[0012] Preferably, the generation of the detection image includes:

[0013] After obtaining radar detection signals through 100MHz radar detector, 200MHz radar detector and 400MHz radar detector respectively, circular synthetic aperture radar CSAR is used to obtain phase data of each radar detection signal in each time period;

[0014] According to the phase data of each radar detection signal in each time period, the phase difference between the radar detection signals is obtained, and the phase difference imaging method is used to obtain multiple position images of the target. The target position image is transformed using Fourier transform FFT to generate multiple detection images.

[0015] Preferably, the three-dimensional recognition model is constructed based on a deep neural network DNN.

[0016] The embodiment of the present invention further provides a system for identifying bad geological bodies during excavation by a TBM, comprising:

[0017] The detection module is used to obtain radar detection signals in the long-distance area according to the 100MHz radar detector, obtain radar detection signals in the medium- and long-distance area according to the 200MHz radar detector, and obtain radar detection signals in the short-distance area according to the 400MHz radar detector after the TBM tunneling machine starts to operate;

[0018] A data processing module is used to generate multiple detection images according to the phase differences between the radar detection signals in the long-distance area, the radar detection signals in the medium-long-distance area and the radar detection signals in the short-distance area at different time periods, and to generate a three-dimensional image of the geological body according to the detection images;

[0019] A model module, used to generate a three-dimensional recognition model according to the phase difference between radar detection signals in different detection areas at different time periods;

[0020] The recognition module is used to input the three-dimensional image of the geological body to be measured into the three-dimensional recognition model to obtain the area of ​​the bad geological body.

[0021] An embodiment of the present invention further provides an electronic device, including a memory and a processor;

[0022] The memory is used to store computer programs;

[0023] The processor is used to implement the steps of the above-mentioned method for identifying bad geological bodies during excavation by a TBM tunneling machine when executing the computer program stored in the memory.

[0024] An embodiment of the present invention further provides a computer-readable storage medium, characterized in that it is used to store a computer program, and when the computer program is executed by a processor, the steps of the method for identifying bad geological bodies during excavation by a TBM tunneling machine are implemented as described above.

[0025] The embodiment of the present invention provides a method, system and device for identifying unfavorable geological bodies during excavation by a TBM. Compared with the prior art, the method, system and device have the following beneficial effects:

[0026] The present invention installs radar detectors of different frequencies on the cutterhead of a TBM. When the TBM is excavating, geological body data of different distances and different precisions of the geological body are obtained during the excavation process, and a high-resolution three-dimensional image is generated according to the phase difference of the geological body in different time periods, and a three-dimensional recognition model is constructed according to the phase difference in different detection distances and different time periods, so as to realize accurate recognition of unfavorable geological bodies. The process adopts radar detectors of different frequencies to obtain detection data of different precisions and different distances, realizes the organic combination of detection distance and detection precision, can extract comprehensive and accurate geological information from the detection data, so that unfavorable geological bodies can be comprehensively and accurately identified. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A schematic diagram of the system principle of a method and system for identifying bad geological bodies during excavation by a TBM tunneling machine provided by an embodiment of the present invention;

[0028] Figure 2 A schematic diagram of system decomposition of a method and system for identifying bad geological bodies during excavation by a TBM tunneling machine provided by an embodiment of the present invention;

[0029] Figure 3 A schematic diagram of a detection window arranged on a cutterhead of a TBM tunneling machine in a method and system for identifying bad geological bodies during tunneling of a TBM tunneling machine provided by an embodiment of the present invention;

[0030] Figure 4 A schematic diagram of wire shielding of a method and system for identifying bad geological bodies during excavation of a TBM tunneling machine provided by an embodiment of the present invention;

[0031] Figure 5 A schematic diagram of the internal side view of an electromagnetic shielding module of a method and system for identifying bad geological bodies during excavation of a TBM tunneling machine provided by an embodiment of the present invention;

[0032] Figure 6 A schematic diagram of a data transmission module of a method and system for identifying bad geological bodies during excavation of a TBM tunneling machine provided by an embodiment of the present invention;

[0033] Figure 7 A schematic diagram of a detection module of a method and system for identifying unfavorable geological bodies during excavation of a TBM tunneling machine provided by an embodiment of the present invention;

[0034] Figure 8 A schematic diagram of the overall process of a method for identifying unfavorable geological bodies during excavation by a TBM tunneling machine provided by an embodiment of the present invention;

[0035] Fig. 9 A schematic diagram of the electronic device framework of a method, system and device for identifying adverse geological bodies during excavation by a TBM tunneling machine provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0037] See also Figure 1The embodiment of the present invention provides a method and system for identifying bad geological bodies during excavation of a TBM tunneling machine, including a detection module 100, an anti-interference module 200, an excavation protection module 300, a data transmission module 400, and a data processing module 500.

[0038] The detection module 100 is used to carry radar detectors of three frequencies for continuous detection and data collection in front of the tunnel face. The three radar detectors of different frequencies can be controlled to turn on and off respectively, so as to identify unfavorable geological bodies at different distances in front of the tunnel face with different accuracies, improve the accuracy of detection, ensure the reliability of data collected by the radar detector, and at the same time improve the intelligence level of electromagnetic detection in front of the tunnel face of the TBM tunnel.

[0039] like Figure 2 As shown, the detection module 100 includes a 100 MHz radar detector module 101, a 200 MHz radar detector module 102 and a 400 MHz radar detector module 103; the 100 MHz radar detector module 101 is used to detect and identify poor geological bodies within 30 m in front of the TBM tunnel face; the 200 MHz radar detector module 102 is used to detect and identify poor geological bodies within 10 m in front of the TBM tunnel face; the 400 MHz radar detector module 103 is used to detect and identify poor geological bodies within 5 m in front of the TBM tunnel face.

[0040] The 100MHz radar detector module 101, the 200MHz radar detector module 102 and the 400MHz radar detector module 103 are all located in a detector box inside the TBM cutterhead. The box is composed of an anti-interference module 200 and a tunneling protection module 300, and can simultaneously meet the real-time lossless transmission of radar detection data during TBM construction, ensuring real-time control of the 100MHz radar detector module 101, the 200MHz radar detector module 102 and the 400MHz radar detector module 103 by the radar host in the main control room outside the tunnel.

[0041] like Figure 3As shown, the 100MHz radar detector module 101, the 200MHz radar detector module 102 and the 400MHz radar detector module 103 provided in the detection module 100 respectively include 4 radar detectors, which are equidistantly distributed from the center to the edge of the TBM cutter head. Each detection window includes three radar detectors, namely, the 100MHz radar detector module 101, the 200MHz radar detector module 102 and the 400MHz radar detector module 103. There are 4 detector windows distributed on the TBM cutter head. Detector window A is the window closest to the center position, detector window B is farther than detector window A by a certain distance, detector window C is farther than detector window B by a certain distance, and detector window D is the farthest detection window. The spacing between detector windows A, B, C, and D is the same.

[0042] In addition, the 100MHz radar detector module 101, the 200MHz radar detector module 102 and the 400MHz radar detector module 103 can realize real-time synchronous transmission of data information to the main control room according to the electromagnetic shielding module 201, the data assurance module 202 and the data transmission module 401, so as to realize the refined detection of the front of the TBM tunnel face by the detection module 100.

[0043] The anti-interference module 200 is used for electromagnetic shielding and noise suppression of data transmission during radar detection. It can shield electromagnetic interference behind and on the sides of the radar detector, so that an electromagnetic shielding shell is formed behind and on the sides of the detection module 100 to ensure the reliability of the electromagnetic detection method in TBM tunnel applications.

[0044] The anti-interference module 200 includes an electromagnetic shielding module 201 and a data security module 202, which are used for normal detection and lossless data transmission of the detection module 100; the electromagnetic shielding module 201 is used to form an electromagnetic shield on the side and rear of the detection module 100, and is composed of a metal shell, using the shielding efficiency of the metal to minimize the penetration of electromagnetic waves; the data security module 202 is used to output the radar detector data losslessly to the detector, and the wire is double-shielded, such as Figure 4 As shown, the interference of data is reduced as much as possible, and then the detection data is converted into an optical fiber signal through a photoelectric converter and transmitted to the rear radar host, ensuring the minimum loss and minimum interference of data during transmission.

[0045] The tunneling protection module 300 is used to protect the radar detector from being damaged by gravel on the tunnel face, ensuring that the radar detector can still work efficiently when the TBM is tunneling in complex strata. At the same time, it has a certain degree of sealing to keep the detector compartment clean and tidy. It can ensure that the radar detector performs continuous detection during the TBM tunneling process, so as to obtain more timely and accurate information on adverse geological bodies in front of the tunnel face, thereby improving the safety of TBM tunnel construction.

[0046] The excavation protection module 300 includes an excavation protection module 301 and a link module 302; the excavation protection module 301 can be replaced regularly according to the wear and tear to better protect the normal operation of the radar detector; the excavation protection module 301 is made of aramid fiber composite material, which has excellent mechanical properties, electrical insulation properties, wave transmission properties and dimensional stability, and has high strength properties that other similar wave-transmitting materials do not have, which can ensure that the radar detector works safely and efficiently in harsh environments; in addition, the excavation protection module 301 can be replaced according to the wear and tear, and the excavation protection module 301 has the same size and can be quickly replaced through the link module 302 Replace the damaged module on the TBM cutterhead, realize the simultaneous maintenance and replacement of the TBM cutter and the excavation protection module 301, and minimize the construction period loss of the TBM construction; the link module 302 is used to fix the excavation protection module 301, the 100MHz radar detector module 101, the 200MHz radar detector module 102 and the 400MHz radar detector module 103, and design a quick replacement structure to ensure that the excavation protection module 301, the 100MHz radar detector module 101, the 200MHz radar detector module 102 and the 400MHz radar detector module 103 can maintain stable and continuous detection during TBM excavation, such as Figure 5 As shown, when a module has a problem, it can be quickly disassembled for maintenance.

[0047] The data transmission module 400 is used to transmit the radar detection signal to the radar host behind the TBM without loss, while avoiding the electromagnetic interference of the TBM to the radar detector. Figure 6 As shown in the figure, it can ensure the lossless transmission of radar signals, thereby improving the accuracy of electromagnetic detection results of TBM tunnels and realizing the application of radar detection in TBM tunnels.

[0048] The data transmission module 400 includes a data transmission module 401. The data transmission module 401 includes a part for transmitting the signal to the rear radar host after the signal enters the photoelectric sensor. After entering the photoelectric sensor, the data will be converted from an electrical signal into an optical signal, and then transmitted to the rear radar host through a coaxial optical fiber. The transmission wire is also subjected to double electromagnetic shielding to ensure lossless consumption during signal transmission. When the coaxial optical fiber of the data transmission module 401 passes through the electromagnetic shielding module 201, it passes through a special transmission interface made of metal material to keep the transmission wire fixed when passing through the transmission interface. At the same time, a snap-on structure is used to keep the electromagnetic shielding room sealed to prevent signal interference.

[0049] The data processing module 500 is used to analyze and process the radar detection signals and perform three-dimensional imaging, and intelligently adjust the radar detection modules of different frequencies according to the TBM main control information and the detection results; it can finely detect the adverse geological body information at different distances in front of the TBM tunnel face, thereby improving the accuracy of the identification of the geological body information in front of the TBM tunnel face and improving the safety of tunnel construction.

[0050] The data processing module 500 includes a signal processing module 501, a three-dimensional imaging module 502 and an intelligent control module 503; the signal processing module 501 is used to collect, analyze and process the signals of detectors with different frequencies, realize the real-time output of the two-dimensional imaging results of radar detection, and input the preliminary results into the three-dimensional imaging module 502 at the same time. The three-dimensional imaging module performs in-depth processing on the detection data and outputs the three-dimensional imaging results of the unfavorable geological body in front of the TBM face; the three-dimensional imaging module 502 regards the radars of the same frequency of the four AD windows as a mobile platform, uses the circular synthetic aperture radar (CSAR) technology to process the radar detection signals, and uses the phase difference of the signals to generate high-resolution images. The intelligent control module 503 is used to intelligently control the opening and closing of radar detectors of different frequencies according to the radar detection results, so as to realize the variable frequency control of radar detection; the intelligent control module 503 can intelligently control the radar detector according to the three-dimensional imaging module 502, and train and test the neural network model according to the comparison between the actual excavation results of the TBM and the radar imaging results by combining the deep learning neural network algorithm, so as to improve the recognition accuracy and speed of the unfavorable geological body in front of the TBM tunnel, and more accurately control the opening and closing of the radar detector.

[0051] At the same time, since each detection window includes a 100 MHz radar detector module 101, a 200 MHz radar detector module 102 and a 400 MHz radar detector module 103, as shown in FIG. Figure 7As shown in the figure, due to the limitation of signal transmission and reception, radars of different frequencies cannot be turned on and work at the same time, so the intelligent control module 503 is the control core of the three different frequency radars; in the actual implementation process, as the TBM continues to advance, the 100MHz radar detector module 101 remains normally turned on, and the signal processing module 501 displays the approximate distribution of the unfavorable geological bodies within 30m in front of the TBM tunnel face in real time, and then the 3D imaging module 502 presents the 3D imaging results of the unfavorable geological bodies within 30m in front of the TBM tunnel face after deep processing, and the intelligent control module 503 will intelligently control the 3D imaging results according to the 3D imaging results. The distribution range of bad geological bodies is calibrated. When the TBM excavates within 10m of the calibration range, the intelligent control module 503 automatically turns off the 100MHz radar detector module 101 and then turns on the 200MHz radar detector module 102. The radar detection signal is displayed in real time through the signal processing module 501 to display the distribution of bad geological bodies within 10m in front of the TBM tunnel face. Then, the three-dimensional imaging module 502 presents the three-dimensional imaging result of the bad geological bodies within 10m in front of the TBM tunnel face after deep processing. The imaging result is more precise and reliable than the detection result of the 100MHz radar detector module 101.

[0052] The intelligent control module 503 will calibrate the range of the bad geological body according to the more refined three-dimensional imaging results; when the TBM excavation is within 5 meters of the calibration range, the intelligent control module 503 automatically turns off the 200MHz radar detector module 102, and then turns on the 400MHz radar detector module 103. The radar detection signal is displayed in real time through the signal processing module 501 for the specific distribution of the bad geological body within 5 meters in front of the TBM tunnel face. Then, after further processing, the three-dimensional imaging module 502 presents the refined three-dimensional imaging results of the bad geological body within 5 meters in front of the TBM tunnel face. This result is progressively obtained layer by layer, and through uninterrupted detection by radars of different frequencies, the refined three-dimensional imaging of the bad geological body in front of the TBM tunnel face is achieved, providing more reliable and more accurate reference data for TBM construction.

[0053] When doing specific work:

[0054] First, the intelligent control module 503 checks whether the radar detectors of different frequencies can be turned on and off normally, then checks whether the data transmission is normal, whether the radar detectors and the excavation protection module 300 are installed in place, and whether the data transmission module 401 is fixed at the corresponding position of the TBM. After the inspection, the TBM can carry out construction and excavation normally.

[0055] Next, the 100MHz radar detector module 101 is turned on normally, and then the intelligent control module 503 is used to intelligently control the opening and closing of radars of different frequencies according to the detection results during the TBM excavation process. At the same time, all two-dimensional and three-dimensional results of radar detection are uploaded to the TBM control room, and the intelligent control module 503 is manually intervened and adjusted in time to further optimize the control accuracy and reliability of the intelligent control module 503.

[0056] The present invention can detect unfavorable geology in front of the tunnel face during TBM excavation according to the preset frequency; transmit the detection signal to the radar host behind the TBM through the data transmission module; the radar host outputs the radar detection result in front of the tunnel face through data collection, analysis and processing; the three-dimensional imaging module performs data depth processing and three-dimensional imaging according to the radar detection result; the intelligent control module intelligently adjusts the detection frequency of the radar according to the radar detection result; and realizes short, medium and long-distance fast, comprehensive, real-time and accurate radar imaging in front of the TBM tunnel face, thereby overcoming the problem that the TBM has no effective real-time advance detection system, greatly shortening the time interval between the detection process and the detection result, and avoiding the electromagnetic interference problem of the TBM.

[0057] The present invention can realize the opening and closing of radars of different frequencies through intelligent frequency modulation, realize the identification of unfavorable geological bodies with different distances and different accuracy in front of the TBM tunnel face, realize the organic combination of detection distance and detection accuracy, avoid the disadvantage that conventional radar detection is limited by fixed frequency, resulting in the inability to complement each other in detection distance and detection accuracy, greatly enhance the intelligence level of the radar detection system, and enhance the application breadth of the radar detection system in TBM tunnel construction.

[0058] like Figure 8 As shown, the specific steps of the method include:

[0059] Step 1: The intelligent control module self-checks each module of the system. If all the modules are normal, it will automatically turn on the 100MHz radar detection module in combination with the TBM construction process.

[0060] Step 2: During the excavation process of the TBM, the 100MHz radar detection module transmits data to the signal processing module in a timely manner.

[0061] Step 3: The signal processing module generates the detection results of the 100MHz radar detector in real time, and the 3D imaging module performs deep processing on the same data to present the 3D imaging results.

[0062] Step 4: The intelligent control module automatically calibrates the range of the unfavorable geological body and calculates the distance between the tunnel face and the unfavorable geological body based on the TBM host parameters.

[0063] Step 5: When the tunnel face is 10m away from the unfavorable geological body, the intelligent control module turns off the 100MHz radar detector and turns on the 200MHz radar detector.

[0064] Step 6: When the tunnel face is 5m away from the unfavorable geological body, the intelligent control module turns off the 200MHz radar detector and turns on the 400MHz radar detector.

[0065] Step 7: Based on the 2D and 3D images, comprehensively judge the type, scope and degree of hazard of the adverse geological body ahead, and feed back the results to the TBM console in real time. The construction party will take corresponding measures based on the feedback results.

[0066] Step 8: After excavation of the unfavorable geological body, the predicted data is verified and corrected in combination with the on-site measured data, and the correction scheme is applied to the intelligent control module to improve the accuracy of intelligent control.

[0067] like Fig. 9 FIG. 1 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, including:

[0068] A memory 1 , a processor 2 , and a computer program stored in the memory 1 and executable on the processor 2 .

[0069] When the processor 2 executes the program, the steps of a method for identifying bad geological bodies during TBM excavation provided in the above embodiment are implemented.

[0070] Electronic equipment also includes:

[0071] The communication interface 3 is used for communication between the memory 1 and the processor 2 .

[0072] The memory 1 is used to store computer programs that can be run on the processor 2.

[0073] The memory 1 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0074] If the memory 1, the processor 2 and the communication interface 3 are implemented independently, the communication interface 3, the memory 1 and the processor 2 can be connected to each other through a bus and communicate with each other; the bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc.; the bus can be divided into an address bus, a data bus, a control bus, etc.; for the convenience of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0075] If the memory 1, the processor 2 and the communication interface 3 are integrated on a chip, the memory 1, the processor 2 and the communication interface 3 can communicate with each other through an internal interface.

[0076] The processor 2 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0077] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for identifying unfavorable geological bodies during excavation by a TBM, characterized in that: A 100MHz radar detector, a 200MHz radar detector and a 400MHz radar detector are arranged on the cutterhead of a TBM tunneling machine. The method comprises the following steps: After the TBM starts to operate, the radar detection signal in the long-distance area is obtained according to the 100MHz radar detector, the radar detection signal in the medium-long distance area is obtained according to the 200MHz radar detector, and the radar detection signal in the short-distance area is obtained according to the 400MHz radar detector; multiple detection images are generated according to the phase difference between the radar detection signals in the long-distance area, the radar detection signals in the medium-long distance area, and the radar detection signals in the short-distance area at different time periods, and a three-dimensional image of the geological body is generated according to the detection images; Generate a three-dimensional recognition model based on the phase difference between radar detection signals in different detection areas at different time periods; The three-dimensional image of the geological body to be tested is input into the three-dimensional recognition model to obtain the area of ​​the bad geological body.

2. The method for identifying unfavorable geological bodies during excavation by a TBM according to claim 1, characterized in that: The 100MHz radar detector is used to obtain radar detection signals within a range of 30m, the 200MHz radar detector is used to obtain radar detection signals within a range of 10m, and the 400MHz radar detector is used to obtain radar detection signals within a range of 5m; After the TBM tunneling machine starts operating, the 100MHz radar detector is continuously turned on, and the 200MHz radar detector and the 400MHz radar detector are turned off; when the distance calibration range is 10m, the 200MHz radar detector is continuously turned on, and the 100MHz radar detector is turned off; when the distance calibration range is 5m, the 400MHz radar detector is continuously turned on, and the 200MHz radar detector is turned off.

3. The method for identifying unfavorable geological bodies during excavation by a TBM according to claim 1, characterized in that: The generation of the detection image includes: After obtaining radar detection signals through 100MHz radar detector, 200MHz radar detector and 400MHz radar detector respectively, circular synthetic aperture radar CSAR is used to obtain phase data of each radar detection signal in each time period; According to the phase data of each radar detection signal in each time period, the phase difference between the radar detection signals is obtained, and the phase difference imaging method is used to obtain multiple position images of the target. The target position image is transformed using Fourier transform FFT to generate multiple detection images.

4. The method for identifying unfavorable geological bodies during excavation by a TBM according to claim 1, characterized in that: The three-dimensional recognition model is built based on a deep neural network DNN.

5. A system for identifying unfavorable geological bodies during TBM excavation, characterized in that: include: The detection module is used to obtain radar detection signals in the long-distance area according to the 100MHz radar detector, obtain radar detection signals in the medium- and long-distance area according to the 200MHz radar detector, and obtain radar detection signals in the short-distance area according to the 400MHz radar detector after the TBM tunneling machine starts to operate; A data processing module is used to generate multiple detection images according to the phase differences between the radar detection signals in the long-distance area, the radar detection signals in the medium-long-distance area and the radar detection signals in the short-distance area at different time periods, and to generate a three-dimensional image of the geological body according to the detection images; A model module is used to generate a three-dimensional recognition model according to the phase difference between radar detection signals in different detection areas at different time periods; The recognition module is used to input the three-dimensional image of the geological body to be measured into the three-dimensional recognition model to obtain the area of ​​the bad geological body.

6. An electronic device, characterized in that: include: Memory and processor; The memory is used to store computer programs; The processor is used to implement the steps of a method for identifying unfavorable geological bodies during excavation by a TBM tunneling machine as described in any one of claims 1 to 4 when executing the computer program stored in the memory.

7. A computer-readable storage medium, characterized in that: Used to store a computer program, which, when executed by a processor, implements the steps of a method for identifying unfavorable geological bodies during excavation by a TBM tunneling machine as described in any one of claims 1 to 4.

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