Intelligent recognition device for tunnel rupture and deformation and geological information based on borehole imaging

Abstract

An intelligent recognition device for tunnel rupture and deformation and geological information based on borehole imaging, relating to the technical field of geological information survey. The device comprises an intelligent imaging probe and an intelligent imaging main unit, and the intelligent imaging probe is connected to the intelligent imaging main unit by means of a video cable. The intelligent imaging probe comprises a main body frame, a hole wall rock image acquisition module, a hole wall rock lithology recognition module, a structural plane characteristic extraction and calculation module, an infrared laser scanning and distance measuring module, an image signal transmission module and a video signal transmission module, and the intelligent imaging main unit comprises a main body frame, an image signal receiving module, a video signal receiving module, a data storage module, a data transmission module, a battery and a control module. The device can simultaneously monitor tunnel rupture and deformation conditions, and intelligently recognize the lithology and structural plane characteristics of hole wall rock, thereby saving a large amount of time for operators.

Description

Intelligent identification device for tunnel rupture deformation and geological information based on borehole imaging Technical Field

[0001] The present invention relates to the technical field of geological information exploration, and in particular to a device for intelligently identifying tunnel rupture deformation and geological information based on borehole imaging. Background Art

[0002] The borehole imaging instrument is mainly composed of an imaging host, an imaging probe, a guide pulley, a push rod, a cable, a depth encoder and a tripod. By drilling the surrounding rock in the monitoring area, an imaging probe of corresponding size is selected, and the imaging probe is pushed into the surrounding rock borehole using the push rod and the hand-cranked winding reel to record the image information of the surrounding rock on the hole wall. It is mainly used to observe the rock structure characteristics inside the borehole and identify the joints, cracks and fractures of the surrounding rock on the hole wall.

[0003] Borehole imaging cameras currently lack the capabilities to identify lithology or monitor deformation of the surrounding rock mass. Imaging probes alone cannot identify changes in the rock mass's profile, making it impossible to assess the potential risk of collapse within the borehole. Furthermore, the depth encoder's accuracy in locating the joints and fissures in the surrounding rock mass is poor. The image information recorded by the borehole imaging camera must then be manually processed using software to identify joint and fissure information, including location, width, length, dip, and inclination. This can introduce a certain degree of error and consumes significant operator time and effort.

[0004] Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides a device for intelligently identifying tunnel rupture deformation and geological information based on borehole imaging.

[0006] An intelligent identification device for tunnel rupture deformation and geological information based on borehole imaging, comprising: an intelligent imaging probe and an intelligent imaging host;

[0007] The intelligent imaging probe and the intelligent imaging host are connected via a video cable;

[0008] The intelligent imaging probe includes an intelligent imaging probe main frame, a hole wall surrounding rock image acquisition module 11, a hole wall surrounding rock lithology identification module 12, a structural surface feature extraction and calculation module 13, an infrared laser scanning and ranging module 14, an image signal transmission module and a video signal transmission module, wherein the image signal transmission module and the video signal transmission module are divided into an image signal transmission module and a video signal transmission module a, and an image signal transmission module and a video signal transmission module b;

[0009] The main frame of the intelligent imaging probe includes a transparent protective cover 1, a drilling imager carrying cabin 2, a laser rangefinder carrying cabin 3, a first video cable interface 4, a connecting push rod interface 5, a video cable 6, a connecting push rod 7, a winding device 8, and a support base 10; the transparent protective cover 1 is buckled on the drilling imager carrying cabin 2, and the drilling imager carrying cabin 2 is fixedly connected to the laser rangefinder carrying cabin 3 at the bottom. The video cable interface 4 is provided at the bottom of the laser rangefinder carrying cabin 3, and an internal thread is provided on the inner side of the video cable interface 4 as a connecting push rod interface 5; the video cable 6 is connected to the intelligent imaging probe and the intelligent imaging host through the first video cable outlet end 4, the connecting push rod 7 is provided with an outer thread and an inner thread of the connecting push rod interface 5 movably connected, the top of the winding device 8 is movably connected to the intelligent imaging host 9, and the bottom end of the winding device 8 is fixedly installed on the support base 10;

[0010] The hole wall surrounding rock image acquisition module 11, the hole wall surrounding rock lithology identification module 12, and the structural surface feature extraction and calculation module 13 are installed inside the borehole imaging instrument carrying cabin 2;

[0011] The hole wall surrounding rock image acquisition module 11 specifically includes a 360° panoramic camera, LED lights, and a conical mirror to collect hole wall surrounding rock images; wherein the LED lights are evenly arranged around the conical mirror;

[0012] The hole wall surrounding rock lithology identification module 12 specifically includes a surrounding rock image sample database, a sample data training module, and an acquisition data lithology identification module; the surrounding rock image sample database is obtained by sampling surrounding rock images at the construction site and the lithology legend website, and the sample data training module distributes surrounding rock images in the surrounding rock image sample database into a training set and a verification set according to a proportion, wherein the training set of surrounding rock images is used to establish a sample data prediction model, and the verification set of surrounding rock images is used to improve the detection accuracy of the sample data prediction model, and the lithology identification model is obtained by training and verifying the sample data set; the acquisition data lithology identification module analyzes the hole wall surrounding rock image information obtained by the hole wall surrounding rock image acquisition module, screens valid data, performs lithology principal component analysis and data dimensionality reduction, determines the main influencing factors of lithology identification and performs feature extraction on it, compares the extracted data information of the hole wall surrounding rock acquisition image with the data information of the surrounding rock image sample database, and then identifies the hole wall surrounding rock image to obtain the result of hole wall surrounding rock lithology identification;

[0013] The borehole wall surrounding rock lithology identification module 12 is implemented using a processor and memory. The memory is used to store computer program instructions for lithology identification, and the processor is used to execute the lithology identification steps. The module is fixedly installed inside the borehole wall surrounding rock lithology identification module. The image of the borehole wall surrounding rock after lithology identification is transmitted via a signal transmission line to the structural surface feature extraction and calculation module 13.

[0014] The structural surface feature extraction and calculation module 13 includes an image signal receiving module a, an image signal fitting module a, and an image signal processing module a. The image signal receiving module a is used to receive image information from the hole wall surrounding rock image acquisition module to obtain a two-dimensional unfolded surface of the hole wall surrounding rock; the image signal fitting module a is used to read the coordinate position of the crack point on the two-dimensional unfolded surface of the hole wall surrounding rock and perform a sine function fitting on it; the image signal processing module a is used to calculate the coordinate information of the crack point, including data conversion and spatial transformation of the crack starting point coordinate information, crack end point coordinate information, crack width coordinate information, crack length coordinate information, and the function plane equation for sine fitting to obtain a hole wall surrounding rock image with structural surface information annotation results; the image signal transmission module and the video signal transmission module a are used to transmit the hole wall surrounding rock image with lithology information and structural surface information annotation results to the intelligent imaging host through a video cable, wherein the image signal and video signal transmission functions of the device are realized by the same video cable;

[0015] The structural surface feature extraction and calculation module 13 is implemented by a processor and a memory, the memory is used to store computer program instructions for structural surface feature identification, and the processor is used to execute the steps of structural surface feature identification; it is fixedly installed inside the structural surface feature extraction and calculation module, and the image of the hole wall surrounding rock after intelligent identification of lithology and structural surface features is transmitted to the infrared laser scanning and ranging module 14 via a signal transmission line.

[0016] The infrared laser scanning and ranging module 14 includes an infrared laser transmitter, an infrared laser receiver, a filter, an amplifier, and a calculator; the infrared laser transmitter is used to generate an infrared laser pulse signal, the infrared laser receiver is used to receive the infrared laser pulse signal, the filter obtains the set frequency signal in the received infrared laser pulse signal and filters the interference signal, the amplifier amplifies the frequency signal and transmits it to the calculator, and the calculator converts the signal into a measuring point distance value;

[0017] The intelligent imaging host includes an intelligent imaging host main frame, a data storage module, a data transmission module, a control module and a battery;

[0018] The main frame of the intelligent imaging host is provided with a USB port, a charging port, a second video cable interface, a depth sensor connection port, an intelligent imaging display, an intelligent imaging probe position adjustment knob, an intelligent imaging probe size adjustment knob, a power button and a power off button; the USB port is used to transmit the intelligent recognition result of the hole wall surrounding rock image information to an external device, the charging port is used to power the intelligent imaging host, the second video cable interface is used for the intelligent imaging host to connect the intelligent imaging probe via a video cable, the depth sensor port is used for the intelligent imaging host to connect the depth sensor, the intelligent imaging display is used to display and record the real-time movement process of the probe and the intelligent recognition result of the hole wall surrounding rock image information, and ensure that the debugging probe position is centered, the intelligent imaging probe position adjustment knob is used to adjust the imaging position of the probe, the intelligent imaging probe size adjustment knob is used to adjust the imaging range of the probe, the power on button and the power off button are used to turn on and off the intelligent imaging host;

[0019] The image signal receiving module and the video signal receiving module b are used to receive the intelligent recognition results of the hole wall surrounding rock image and video information obtained by the intelligent imaging probe transmitted via the video cable;

[0020] The data storage module stores the intelligent recognition image of the hole wall and the video captured during the movement of the high-definition probe;

[0021] The data transmission module is used to transmit the stored intelligent recognition image of the surrounding rock to an external device via a USB port;

[0022] The control module is a main control chip built into the mainboard of the intelligent imaging host; the battery is built into the intelligent imaging host;

[0023] The beneficial effects of adopting the above technical solution are:

[0024] The present invention provides a device for intelligently identifying tunnel rupture deformation and geological information based on borehole imaging. It has the following beneficial effects:

[0025] (1) The present invention integrates the functions of tunnel rupture monitoring and tunnel deformation monitoring. The borehole imager monitors the tunnel rupture situation, and the infrared laser rangefinder monitors the tunnel deformation situation. The intelligent identification device for tunnel rupture deformation and geological information can realize multi-dimensional information detection of deformation and rupture.

[0026] (2) The present invention applies intelligent recognition technology to the monitoring of surrounding rock stability, reduces the subjective misjudgment of rock properties by construction technicians, and improves the accuracy of the identification of surrounding rock properties during the construction process.

[0027] (3) The present invention has the function of extracting and calculating the structural surface characteristics of the hole wall surrounding rock, and realizes automatic annotation on the hole wall surrounding rock image, reducing the errors caused by manual annotation in the later stage. At the same time, automatic identification and annotation can also save operators a lot of time. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] FIG1 is a schematic diagram of the overall structure of an embodiment of the present invention;

[0029] In the figure, 1-transparent protective cover, 2-drilling imager carrying cabin, 3-laser rangefinder carrying cabin, 4-first video cable interface, 5-connecting push rod interface, 6-cable, 7-connecting push rod, 8-winding device, 9-intelligent imaging host, 10-support base;

[0030] FIG2 is a schematic structural diagram of an imaging probe according to the present invention;

[0031] In the figure, 11-hole wall surrounding rock image acquisition module, 12-hole wall surrounding rock lithology identification module, 13-structural surface feature extraction and calculation module, 14-infrared laser scanning and ranging module, 15-image signal and video signal transmission module, 16-second video cable interface; 17-threaded interface for connecting push rod;

[0032] FIG3 is a schematic structural diagram of the infrared laser scanning and ranging module 14 of the present invention;

[0033] FIG4 is a schematic diagram of the structure of the intelligent imaging host of the present invention;

[0034] FIG5 is a specific flow chart of the lithology identification module of the present invention;

[0035] FIG6 is a specific flow chart of the structural surface feature extraction and calculation module of the present invention;

[0036] FIG7 is a schematic diagram of the intelligent recognition effect of the hole wall surrounding rock image of the present invention. DETAILED DESCRIPTION

[0037] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0038] An intelligent identification device for tunnel fracture deformation and geological information based on borehole imaging, as shown in FIG1 , comprises: an intelligent imaging probe and an intelligent imaging host;

[0039] The intelligent imaging probe and the intelligent imaging host are connected via a video cable;

[0040] The intelligent imaging probe is shown in FIG2 , and includes an intelligent imaging probe main frame, a hole wall surrounding rock image acquisition module 11, a hole wall surrounding rock lithology recognition module 12, a structural surface feature extraction and calculation module 13, an infrared laser scanning and ranging module 14, an image signal transmission module, and a video signal transmission module;

[0041] The main frame of the intelligent imaging probe includes a transparent protective cover 1, a drilling imager carrying cabin 2, a laser rangefinder carrying cabin 3, a first video cable interface 4, a connecting push rod interface 5, a video cable 6, a connecting push rod 7, a winding device 8, and a support base 10; the transparent protective cover 1 is buckled on the drilling imager carrying cabin 2, and the drilling imager carrying cabin 2 is fixedly connected to the laser rangefinder carrying cabin 3 at the bottom, and the video cable interface 4 is arranged at the bottom of the laser rangefinder carrying cabin 3, and an internal thread is arranged on the inner side of the video cable interface 4 as a connecting push rod interface 5; the video cable 6 is connected to the intelligent imaging probe and the intelligent imaging host through the first outlet end 4 of the video cable, the connecting push rod 7 is provided with an outer thread and is movably connected to the inner thread of the connecting push rod interface 5, the top of the winding device 8 is movably connected to the intelligent imaging host 9, and the bottom end of the winding device 8 is fixedly installed on the support base 10, and the cable 6 is wound and released through the winding device 8;

[0042] The hole wall surrounding rock image acquisition module 11, the hole wall surrounding rock lithology identification module 12, and the structural surface feature extraction and calculation module 13 are installed inside the borehole imaging instrument carrying cabin 2;

[0043] The hole wall surrounding rock image acquisition module 11 specifically includes a 360° panoramic camera, LED lights, and a conical mirror to collect hole wall surrounding rock images; wherein the LED lights are evenly arranged around the conical mirror; the collected hole wall surrounding rock images and the video shot during the probe movement are transmitted to the hole wall surrounding rock lithology identification module 12 via a signal transmission line;

[0044] The hole wall surrounding rock lithology identification module 12 is shown in FIG5 , which specifically includes a surrounding rock image sample database, a sample data training module, and an acquisition data lithology identification module; the specific process of the lithology identification module is shown in FIG3 ; the surrounding rock image sample database is obtained by sampling surrounding rock images at the construction site and the lithology legend website, and the sample data training module distributes surrounding rock images in the surrounding rock image sample database into a training set and a verification set according to a proportion, wherein the training set of surrounding rock images is used to establish a sample data prediction model, and the verification set of surrounding rock images is used to improve the detection accuracy of the sample data prediction model, and the lithology identification model is obtained by training and verifying the sample data set; the acquisition data lithology identification module analyzes the hole wall surrounding rock image information obtained by the hole wall surrounding rock image acquisition module, screens valid data, performs lithology principal component analysis and data dimensionality reduction, determines the main influencing factors of lithology identification and performs feature extraction on it, compares the extracted data information of the hole wall surrounding rock acquisition image with the data information of the surrounding rock image sample database, and then identifies the hole wall surrounding rock image to obtain the result of hole wall surrounding rock lithology identification;

[0045] The borehole wall surrounding rock lithology identification module 12 is implemented using a processor and memory. The memory is used to store computer program instructions for lithology identification, and the processor is used to execute the lithology identification steps. The module is fixedly installed inside the borehole wall surrounding rock lithology identification module. The image of the borehole wall surrounding rock after lithology identification is transmitted via a signal transmission line to the structural surface feature extraction and calculation module 13.

[0046] The structural surface feature extraction and calculation module 13 is shown in Figure 6, and includes an image signal receiving module a, an image signal fitting module a, an image signal processing module a, an image signal transmission module and a video signal transmission module a; the image signal receiving module a is used to receive image information from the hole wall surrounding rock image acquisition module to obtain a two-dimensional unfolded surface of the hole wall surrounding rock; the image signal fitting module a is used to read the coordinate position of the crack point on the two-dimensional unfolded surface of the hole wall surrounding rock and perform a sine function fitting on it; the image signal processing module a is used to calculate the coordinate information of the crack point, including data conversion and spatial transformation of the crack starting point coordinate information, crack end point coordinate information, crack width coordinate information, crack length coordinate information, and the function plane equation for sine fitting to obtain a hole wall surrounding rock image with structural surface information annotation results; the image signal transmission module and the video signal transmission module a are used to transmit the hole wall surrounding rock image with lithology information and structural surface information annotation results to the intelligent imaging host through a video cable, wherein the image signal and video signal transmission functions of the device are realized by the same video cable;

[0047] The structural surface feature extraction and calculation module 13 is implemented by a processor and a memory, the memory is used to store computer program instructions for structural surface feature identification, and the processor is used to execute the steps of structural surface feature identification; it is fixedly installed inside the structural surface feature extraction and calculation module, and the image of the hole wall surrounding rock after intelligent identification of lithology and structural surface features is transmitted to the infrared laser scanning and ranging module 14 via a signal transmission line.

[0048] The infrared laser scanning and ranging module 14 includes an infrared laser transmitter, an infrared laser receiver, a filter, an amplifier, and a calculator; the infrared laser transmitter is used to generate an infrared laser pulse signal, the infrared laser receiver is used to receive the infrared laser pulse signal, the filter obtains the set frequency signal in the received infrared laser pulse signal and filters the interference signal, the amplifier amplifies the frequency signal and transmits it to the calculator to improve the signal quality, and the calculator converts the signal into a measuring point distance value;

[0049] The intelligent imaging host is shown in FIG4 , and includes an intelligent imaging host main frame, an image signal receiving module and a video signal receiving module b, a data storage module, a data transmission module, a control module, and a battery;

[0050] The main frame of the intelligent imaging host is provided with a USB port, a charging port, a second video cable interface, a depth sensor connection port, an intelligent imaging display, an intelligent imaging probe position adjustment knob, an intelligent imaging probe size adjustment knob, a power button and a power off button; the USB port is used to transmit the intelligent recognition result of the hole wall surrounding rock image information to an external device, the charging port is used to power the intelligent imaging host, the second video cable interface is used for the intelligent imaging host to connect the intelligent imaging probe via a video cable, the depth sensor port is used for the intelligent imaging host to connect the depth sensor, the intelligent imaging display is used to display and record the real-time movement process of the probe and the intelligent recognition result of the hole wall surrounding rock image information, and ensure that the debugging probe position is centered, the intelligent imaging probe position adjustment knob is used to adjust the imaging position of the probe, the intelligent imaging probe size adjustment knob is used to adjust the imaging range of the probe, the power on button and the power off button are used to turn on and off the intelligent imaging host;

[0051] The image signal receiving module and the video signal receiving module b are used to receive the intelligent recognition results of the hole wall surrounding rock image and video information obtained by the intelligent imaging probe transmitted via the video cable;

[0052] The data storage module stores the intelligent recognition image of the hole wall and the video captured during the movement of the high-definition probe;

[0053] The data transmission module is used to transmit the stored intelligent recognition image of the surrounding rock to an external device via a USB port;

[0054] The control module is the main control chip that ensures the operation of other modules. It is built into the mainboard of the intelligent imaging host and is mainly used for the intelligent recognition image visualization of the hole wall and surrounding rock, and provides the control and intelligent storage hardware of the intelligent imager and other hardware devices required for the normal operation of the intelligent imager.

[0055] The battery is used to supply energy to the intelligent imaging probe and the intelligent imaging host during use. It is built into the intelligent imaging host to ensure the independent operation of the intelligent imaging system and does not require an external power supply during use.

[0056] In this embodiment, the equipment is primarily modified from existing high-definition borehole television imagers and infrared laser rangefinders. The high-definition borehole television imager can be modified from an RSM-DCT borehole television imager, and the infrared laser rangefinder can be modified from a U81-10m high-precision Bluetooth laser rangefinder module with a 3Hz wireless output. A schematic diagram of the intelligent recognition effect of borehole wall and surrounding rock images in this embodiment is shown in Figure 7.

[0057] The above description is merely a preferred embodiment of the present disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also encompass other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the above-mentioned inventive concept. For example, a technical solution formed by mutually replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A tunnel rupture deformation and geological information intelligent identification device based on borehole imaging, characterized in that: include: Intelligent imaging probe and intelligent imaging host; The intelligent imaging probe and the intelligent imaging host are connected via a video cable; The intelligent imaging probe comprises an intelligent imaging probe main frame, a hole wall surrounding rock image acquisition module 11, a hole wall surrounding rock lithology identification module 12, a structural surface feature extraction and calculation module 13, an infrared laser scanning and ranging module 14, an image signal transmission module and a video signal transmission module, wherein the image signal transmission module and the video signal transmission module are divided into an image signal transmission module and a video signal transmission module a, and an image signal transmission module and a video signal transmission module b; The main frame of the intelligent imaging probe includes a transparent protective cover 1, a drilling imager carrying cabin 2, a laser rangefinder carrying cabin 3, a first video cable interface 4, a connecting push rod interface 5, a video cable 6, a connecting push rod 7, a winding device 8, and a supporting base 10; The transparent protective cover 1 is buckled on the borehole imaging device carrying cabin 2, the borehole imaging device carrying cabin 2 is fixedly connected to the laser rangefinder carrying cabin 3, the video cable interface 4 is arranged below the laser rangefinder carrying cabin 3, and the inner side of the video cable interface 4 is provided with an internal thread as a connecting push rod interface 5; the video cable 6 is connected to the intelligent imaging probe and the intelligent imaging host through the first outlet end 4 of the video cable, the connecting push rod 7 is provided with an outer thread and is movably connected with the inner thread of the connecting push rod interface 5, the top end of the winding device 8 is movably connected to the intelligent imaging host 9, and the bottom end of the winding device 8 is fixedly installed on the supporting base 10; The hole wall surrounding rock image acquisition module 11, the hole wall surrounding rock lithology identification module 12, and the structural surface feature extraction and calculation module 13 are installed inside the borehole imaging instrument carrying cabin 2; The infrared laser scanning and ranging module 14 includes an infrared laser transmitter, an infrared laser receiver, a filter, an amplifier and a calculator; the infrared laser transmitter is used to generate an infrared laser pulse signal, the infrared laser receiver is used to receive the infrared laser pulse signal, the filter obtains the set frequency signal in the received infrared laser pulse signal and filters the interference signal, the amplifier amplifies the frequency signal and transmits it to the calculator, and the calculator converts the signal into a measuring point distance value; The intelligent imaging host comprises an intelligent imaging host main frame, a data storage module, a data transmission module, a control module and a battery; A USB port, a charging port, a second video cable interface, a depth sensor connection port, an intelligent imaging display, an intelligent imaging probe position adjustment knob, an intelligent imaging probe size adjustment knob, a power button and a power off button are arranged on the main frame of the intelligent imaging host; the USB port is used to transmit the intelligent recognition result of the hole wall surrounding rock image information to an external device, the charging port is used to power the intelligent imaging host, the second video cable interface is used for the intelligent imaging host to connect the intelligent imaging probe via a video cable, the depth sensor port is used for the intelligent imaging host to connect the depth sensor, the intelligent imaging display is used to display and record the real-time movement process of the probe and the intelligent recognition result of the hole wall surrounding rock image information, and ensure that the debugging probe position is centered, the intelligent imaging probe position adjustment knob is used to adjust the imaging position of the probe, the intelligent imaging probe size adjustment knob is used to adjust the imaging range of the probe, and the power on button and the power off button are used to turn on and off the intelligent imaging host.

2. The tunnel rupture deformation and geological information intelligent identification device based on borehole imaging according to claim 1, characterized in that: The hole wall surrounding rock image acquisition module 11 specifically includes a 360° panoramic camera, LED lights, and a conical mirror to collect hole wall surrounding rock images; wherein the LED lights are evenly arranged around the conical mirror; The hole wall surrounding rock lithology identification module 12 specifically includes a surrounding rock image sample database, a sample data training module, and a collection data lithology identification module; the surrounding rock image sample database is obtained by sampling surrounding rock images at the construction site and the lithology legend website, and the sample data training module distributes the surrounding rock images in the surrounding rock image sample database into a training set and a verification set according to a proportion, wherein the training set of the surrounding rock image is used to establish a sample data prediction model, and the verification set of the surrounding rock image is used to improve the detection accuracy of the sample data prediction model, and the lithology identification model is obtained by training and verifying the sample data set; the collection data lithology identification module analyzes the hole wall surrounding rock image information obtained by the hole wall surrounding rock image acquisition module, screens valid data, performs lithology principal component analysis and data dimensionality reduction, determines the main influencing factors of lithology identification and extracts features thereof, compares the extracted data information of the hole wall surrounding rock acquisition image with the data information of the surrounding rock image sample database, and then identifies the hole wall surrounding rock image to obtain the result of hole wall surrounding rock lithology identification; The structural surface feature extraction and calculation module 13 includes an image signal receiving module a, an image signal fitting module a, and an image signal processing module a. The image signal receiving module a is used to receive image information from the hole wall surrounding rock image acquisition module to obtain the two-dimensional unfolded surface of the hole wall surrounding rock; the image signal fitting module a is used to read the coordinate position of the crack point on the two-dimensional unfolded surface of the hole wall surrounding rock, and perform a sine function fitting on it; the image signal processing module a is used to calculate the coordinate information of the crack point, including data conversion and spatial transformation of the crack starting point coordinate information, crack end point coordinate information, crack width coordinate information, crack length coordinate information, and the function plane equation for sine fitting to obtain the hole wall surrounding rock image with structural surface information annotation results; the image signal transmission module and the video signal transmission module a are used to transmit the hole wall surrounding rock image with lithology information and structural surface information annotation results to the intelligent imaging host through a video cable, wherein the image signal and video signal transmission functions of the device are realized through the same video cable.

3. The tunnel rupture deformation and geological information intelligent identification device based on borehole imaging according to claim 1, characterized in that: The image signal receiving module and the video signal receiving module b are used to receive the intelligent recognition results of the hole wall surrounding rock image and video information acquired by the intelligent imaging probe transmitted via the video cable; The data storage module stores the intelligent recognition image of the hole wall surrounding rock and the video shot during the movement of the high-definition probe.

4. The device for intelligently identifying tunnel rupture deformation and geological information based on borehole imaging according to claim 1, characterized in that: The control module is a main control chip, which is built into the mainboard of the intelligent imaging host.

5. The device for intelligently identifying tunnel rupture deformation and geological information based on borehole imaging according to claim 1, characterized in that: The battery is built into the intelligent imaging host.

6. The device for intelligently identifying tunnel rupture deformation and geological information based on borehole imaging according to claim 1, characterized in that: The hole wall surrounding rock lithology identification module 12 is implemented by a processor and a memory. The memory is used to store computer program instructions for lithology identification, and the processor is used to execute the steps of lithology identification. It is fixedly installed inside the hole wall surrounding rock lithology identification module. The hole wall surrounding rock image after lithology identification is transmitted to the structural surface feature extraction and calculation module 13 via a signal transmission line.

7. The tunnel rupture deformation and geological information intelligent identification device based on borehole imaging according to claim 1, characterized in that: The structural surface feature extraction and calculation module 13 is implemented by a processor and a memory, the memory is used to store computer program instructions for structural surface feature identification, and the processor is used to execute the steps of structural surface feature identification; it is fixedly installed inside the structural surface feature extraction and calculation module, and the image of the surrounding rock of the hole wall after intelligent identification of lithology and structural surface features is transmitted to the infrared laser scanning and ranging module 14 via a signal transmission line.

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