Tunnel lining internal defect detection method, device and system and storage medium

Abstract

The invention provides a tunnel lining internal defect detection method, device and system and a storage medium, and relates to the technical field of tunnel lining detection. The method is applied to a tunnel lining internal defect detection system, the tunnel lining internal defect detection system comprises a compressed air excitation device and a laser vibration meter, the compressed air excitation device is arranged below a to-be-detected target tunnel lining area, and the laser vibration meter and the compressed air excitation device are arranged at a preset distance. The method comprises the steps that after it is determined that a switch of a compressed air excitation device is turned on, a vibration signal, detected by a laser vibration meter, of the surface of a target tunnel lining area is obtained; performing frequency domain analysis on the vibration signal to obtain a vibration spectrum generated by exciting the target tunnel lining area by compressed air injected by the compressed air excitation device; and whether defects exist in the target tunnel lining area or not is judged. The detection efficiency can be effectively improved, and the detection cost is saved.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel lining detection, and in particular to a method, device, system and storage medium for detecting internal defects of a tunnel lining. Background Art

[0002] As an important infrastructure for transportation and underground engineering, the safety and durability of tunnels directly affect the operational efficiency and service life of the entire project. Tunnel lining is an important part of the tunnel structure, and its main function is to support the surrounding rock, prevent groundwater erosion, maintain the shape of the tunnel, and ensure structural stability. However, due to uneven construction quality and complex geological conditions, cracks, voids, delamination and other defects are prone to occur inside the tunnel lining. These defects not only affect the bearing capacity of the tunnel, but also cause serious safety accidents such as water seepage and collapse. Timely and accurate detection and evaluation of defects inside the tunnel lining is of great significance to ensure the safe operation of the tunnel and extend the service life of the tunnel.

[0003] Existing methods for detecting internal defects of linings include contact detection methods and non-contact detection methods. Internal defects of tunnel linings are usually found in the tunnel vault area, and the vault height is generally more than 5 meters. The contact detection method requires the detection equipment to be close to the vault or closely attached to the concrete surface of the vault, so it requires the assistance of a tunnel lining trolley, that is, the inspector needs to stand on the lining trolley to bring the detection equipment close to the vault. The non-contact detection method mainly detects defects through laser-induced acoustic technology. Since laser does not require a transmission medium, non-contact detection can be achieved.

[0004] However, both the contact detection method and the non-contact detection method have certain limitations. The detection efficiency of the contact detection method is low. Due to the particularity of concrete materials and the thickness of the tunnel lining, the non-contact detection method requires very high laser energy to stimulate the required detection wave source on the lining surface. Therefore, the requirements for the laser light source are very stringent, the detection equipment is expensive, and high-energy laser light sources pose safety hazards. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, system and storage medium for detecting internal defects of a tunnel lining, so as to solve the problems of low detection efficiency and potential safety hazards in existing methods for detecting internal defects of a tunnel lining.

[0006] In a first aspect, an embodiment of the present invention provides a method for detecting internal defects of a tunnel lining, which is applied to a system for detecting internal defects of a tunnel lining. The system for detecting internal defects of a tunnel lining includes: a compressed air excitation device and a laser vibrometer. The compressed air excitation device is arranged below the target tunnel lining area to be detected, the laser vibrometer is arranged at a preset distance from the compressed air excitation device, and the laser vibrometer is communicatively connected to the compressed air excitation device. The method includes:

[0007] After determining that the switch of the compressed air excitation device is turned on, obtain the vibration signal on the surface of the target tunnel lining area detected by the laser vibrometer;

[0008] Perform frequency-domain analysis on the vibration signal to obtain the vibration spectrum generated by the compressed air ejected by the compressed air excitation device to excite the target tunnel lining area;

[0009] Based on the vibration spectrum, determine whether there are defects inside the target tunnel lining area.

[0010] In a second aspect, an embodiment of the present invention provides a device for detecting internal defects of a tunnel lining, which is applied to a system for detecting internal defects of a tunnel lining. The system for detecting internal defects of a tunnel lining includes: a compressed air excitation device and a laser vibrometer. The compressed air excitation device is arranged below the target tunnel lining area to be detected, the laser vibrometer is arranged at a preset distance from the compressed air excitation device, and the laser vibrometer is communicatively connected to the compressed air excitation device. The device includes:

[0011] An acquisition module, configured to obtain the vibration signal on the surface of the target tunnel lining area detected by the laser vibrometer after determining that the switch of the compressed air excitation device is turned on;

[0012] An analysis module, configured to perform frequency-domain analysis on the vibration signal to obtain the vibration spectrum generated by the compressed air ejected by the compressed air excitation device to excite the target tunnel lining area;

[0013] A judgment module, configured to determine whether there are defects inside the target tunnel lining area based on the vibration spectrum.

[0014] In a third aspect, an embodiment of the present invention provides a detection device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the method in the first aspect or any possible implementation manner of the first aspect is implemented.

[0015] In a fourth aspect, an embodiment of the present invention provides a system for detecting internal defects of a tunnel lining, including a compressed air excitation device, a laser vibrometer, and the detection device as claimed in claim 8; the compressed air excitation device is connected to the laser vibrometer; the laser vibrometer is connected to the detection device.

[0016] Fifth aspect, an embodiment of the present invention provides a computer program product, including a computer program which, when executed by a processor, implements the method in the first aspect above or any possible implementation manner of the first aspect.

[0017] In an embodiment of the present invention, after the switch of the compressed air excitation device is turned on, compressed air is sprayed onto the lining surface to excite the lining to vibrate. At the same time, the vibration signal on the surface of the target tunnel lining area detected by the laser vibrometer is acquired, and the frequency domain analysis is performed on the vibration signal to obtain the vibration spectrum generated by the compressed air sprayed by the compressed air excitation device to excite the target tunnel lining area, and it is judged whether there are defects in the target tunnel lining area according to the vibration spectrum. During the detection process, since the detection device does not need to contact the tunnel lining surface and the compressed air has high safety, the detection efficiency can be improved while ensuring safety, and the compressed air has low cost and is not restricted in use, which can effectively improve the detection efficiency of internal defects of the tunnel lining. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is the implementation flowchart of the method for detecting internal defects of tunnel lining provided by the embodiment of the present invention;

[0019] Figure 2 is the application scenario diagram of the method for detecting internal defects of tunnel lining provided by the embodiment of the present invention;

[0020] Figure 3 is the vibration spectrum when there are no defects inside the target tunnel lining area in the method for detecting internal defects of tunnel lining provided by the embodiment of the present invention;

[0021] Figure 4 is the vibration spectrum when there are defects inside the target tunnel lining area in the method for detecting internal defects of tunnel lining provided by the embodiment of the present invention;

[0022] Figure 5 is the structural schematic diagram of the device for detecting internal defects of tunnel lining provided by the embodiment of the present invention;

[0023] Figure 6 is the schematic diagram of the electronic device provided by the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] Existing methods for detecting internal defects of tunnel linings usually include percussion method, ground penetrating radar method and ultrasonic method. Although these methods are effective, they all face the problems of inconvenient operation and low detection efficiency during the detection process. Due to the high height of the tunnel vault, high-altitude operations make the detection operation very inconvenient, and the power lines installed on the railway tunnel vault not only interfere with the detection operation, but also threaten the safety of the inspectors. Therefore, these detection methods have poor adaptability to the detection of internal defects of tunnel linings and low detection efficiency.

[0026] See also Figure 1 , which shows a flow chart of the implementation of the tunnel lining internal defect detection method provided by an embodiment of the present invention. The tunnel lining internal defect detection method provided by an embodiment of the present invention is applied to Figure 2 The tunnel lining internal defect detection system shown in the figure comprises: a compressed air excitation device and a laser vibrometer (i.e. Figure 3 The laser vibrometer is arranged below the target tunnel lining area to be detected, the laser vibrometer and the compressed air excitation device are arranged at a preset distance, and the laser vibrometer is communicatively connected to the compressed air excitation device (communicatively connected via a communication line).

[0027] In order to avoid interference between the laser vibrometer and the compressed air excitation device, the preset distance is at least 1 m, that is, the interval between the laser vibrometer and the compressed air excitation device is at least 1 m.

[0028] In some embodiments, the laser vibrometer is connected to the compressed air excitation device via a communication line.

[0029] It should be noted that before using the compressed air excitation device, its injection pressure needs to be set in advance to ensure that the compressed air can be quickly sprayed onto the tunnel lining surface to stimulate the tunnel lining to generate elastic waves. When setting the injection pressure, it can be set specifically according to the height of different target tunnel lining areas, or a unified injection pressure that can meet the height detection requirements of a certain range can be set.

[0030] On this basis, the implementation process of the tunnel lining internal defect detection method is described in detail as follows:

[0031] S110, after determining that the switch of the compressed air excitation device is turned on, obtaining a vibration signal of the surface of the target tunnel lining area detected by a laser vibrometer.

[0032] In some embodiments, after the switch of the compressed air excitation device is turned on, the laser vibrometer can obtain the information that the compressed air excitation switch is turned on. After receiving the information that the compressed air excitation switch is turned on, the laser vibrometer focuses the laser beam on the lining surface directly above the compressed air excitation device, and acquires the vibration signal on the surface of the target tunnel lining area.

[0033] In a possible implementation manner, before acquiring the vibration signal on the surface of the target tunnel lining area detected by the laser vibrometer, it further includes: dividing the interior of the target tunnel lining according to a preset division rule to obtain a plurality of target tunnel lining areas.

[0034] In some embodiments, the preset rule can be set according to the information of the target tunnel lining. For example, in a certain tunnel, the length of the target tunnel lining is x and the width is y, and the target tunnel lining can be divided into five parts with a length of and a width of y target tunnel lining areas. The preset rule can also be set according to other information, such as being set according to the device characteristics of the compressed air emission device or being set according to the device characteristics of the laser vibration measurement device, which is not specifically limited herein.

[0035] It should be noted that after the area division is completed, the obtained plurality of target tunnel lining areas need to have a clear detection range.

[0036] S120. Perform frequency-domain analysis on the vibration signal to obtain the vibration spectrum generated by the compressed air ejected by the compressed air excitation device exciting the target tunnel lining area.

[0037] The vibration spectrum is used to analyze whether there are defects in the target tunnel lining area.

[0038] In a possible implementation manner, performing frequency-domain analysis on the vibration signal to obtain the vibration spectrum generated by the compressed air ejected by the compressed air excitation device exciting the target tunnel lining area includes: inputting the vibration signal into a preset formula for frequency-domain analysis to obtain a frequency-domain data set generated by the compressed air ejected by the compressed air excitation device exciting the target tunnel lining area; based on the frequency-domain data set, plot the vibration spectrum generated by the compressed air ejected by the compressed air excitation device exciting the target tunnel lining area.

[0039] In some embodiments, frequency-domain analysis refers to the process of converting the time-domain signal in the vibration signal into a frequency-domain signal.

[0040] In some embodiments, since there are multiple time-domain signals in the vibration signal, after these time-domain signals undergo frequency-domain analysis, they can be converted into multiple frequency-domain signals, and these frequency-domain signals together constitute a frequency-domain data set.

[0041] In a possible implementation, the preset formula is:

[0042]

[0043] where x(t) is the time-domain signal in the vibration signal, X(f) is the frequency-domain signal corresponding to the time-domain signal, f is the frequency, and e -j2πft is the complex exponential function.

[0044] S130. Determine whether there are defects inside the target tunnel lining area based on the vibration spectrum.

[0045] In a possible implementation, determining whether there are defects inside the target tunnel lining area based on the vibration spectrum includes: determining the number of peaks corresponding to the vibration spectrum based on the vibration spectrum; and determining whether there are defects inside the target tunnel lining area based on the number of peaks.

[0046] In some embodiments, in the vibration spectrum, after screening out the peaks with too small amplitudes, the number of peaks corresponding to the vibration spectrum can be obtained. The peaks with too small amplitudes can be screened out by a threshold, or by other means, which are not limited herein.

[0047] In a possible implementation, determining whether there are defects inside the target tunnel lining area based on the number of peaks includes: determining whether the number of peaks in the vibration spectrum corresponding to the target tunnel lining area exceeds a preset threshold; if the number of peaks exceeds the preset threshold, there are defects inside the target tunnel lining area; if the number of peaks does not exceed the preset threshold, there are no defects inside the target tunnel lining area.

[0048] It should be noted that when there are no defects inside the tunnel lining, the elastic wave generated by the compressed air exciting the target tunnel lining area propagates from the surface until it reaches the interface between the lining and the rock mass. Part of it enters the rock mass, and part is reflected back to the lining surface. In this case, the vibration frequency of the lining surface is relatively low, and its theoretical peak frequency is the ratio of the elastic wave velocity to twice the lining thickness.

[0049] See Figure 3 , when there are no defects inside the target tunnel lining area, the general shape of its vibration spectrum is as Figure 3 shown.

[0050] However, when there are defects inside the target tunnel lining area, the elastic wave will be strongly reflected at the defect interface. At this time, the frequency components of the vibration on the lining surface will change, including both the echo from the bottom of the lining and the echo from the defect interface. The theoretical frequency of the vibration caused by the echo from the defect interface is the ratio of the elastic wave velocity to twice the defect depth. Since the defect depth is less than the lining thickness, this theoretical frequency will be higher than the vibration frequency caused by the echo from the bottom of the lining.

[0051] Therefore, based on the vibration spectrum of the vibration signal inside the tunnel lining area, it can be determined whether there are internal defects in this area. If there are frequency peaks higher than the normal lining vibration frequency in the vibration spectrum, it can be determined that there are internal defects in this area, otherwise there are none.

[0052] See Figure 4 , when there are defects inside the target tunnel lining area, in the vibration spectrum of the vibration signal, there will be an obvious frequency peak higher than the normal lining vibration.

[0053] Send compressed air through the compressed air excitation device, and collect the vibration signal of the target tunnel lining area through the laser vibrometer. The cost is low and the safety is high, and it will not be restricted by safety. By high-speed jetting compressed air to excite elastic waves on the lining surface, and at the same time using laser vibration measurement technology to collect vibration signals, it can effectively avoid noise interference, improve the accuracy of signal collection, further improve the accuracy of detection, and the entire detection process does not need to contact the lining surface, which can significantly improve the detection efficiency. By improving the detection efficiency and the accuracy of detection, this application can effectively realize the scientific and safe management of the tunnel, and has important engineering application value and wide popularization significance.

[0054] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution is prior or subsequent. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0055] The following is the device embodiment of the present invention. For the details not described in detail, reference can be made to the corresponding method embodiments above.

[0056] Figure 5 The structural schematic diagram of the tunnel lining internal defect detection device provided by the embodiment of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

[0057] As Figure 5 shown, the tunnel lining internal defect detection device 5 includes:

[0058] An acquisition module 51, configured to acquire the vibration signal on the surface of the target tunnel lining area detected by the laser vibrometer after determining that the switch of the compressed air excitation device is turned on;

[0059] An analysis module 52, configured to perform frequency domain analysis on the vibration signal to obtain the vibration spectrum generated by the compressed air jetted by the compressed air excitation device exciting the target tunnel lining area;

[0060] A judgment module 53, configured to judge whether there are internal defects in the target tunnel lining area based on the vibration spectrum.

[0061] In a possible implementation, the analysis module 52 is specifically configured to: input the vibration signal into a preset formula for frequency-domain analysis to obtain a frequency-domain data set generated by the compressed air exciting the target tunnel lining area sprayed by the compressed air exciting device; based on the frequency-domain data set, draw a vibration spectrum generated by the compressed air exciting the target tunnel lining area sprayed by the compressed air exciting device.

[0062] In a possible implementation, the preset formula is:

[0063]

[0064] where x(t) is the time-domain signal in the vibration signal, X(f) is the corresponding frequency-domain signal of the time-domain signal, f is the frequency, and e -j2πft is the complex exponential function.

[0065] In a possible implementation, the judgment module 53 is specifically configured to: based on the vibration spectrum, determine the number of peaks corresponding to the vibration spectrum; based on the number of peaks, judge whether there are defects inside the target tunnel lining area.

[0066] In a possible implementation, the judgment module 53 is further configured to: judge whether the number of peaks of the vibration spectrum corresponding to the target tunnel lining area exceeds a preset threshold; if the number of peaks exceeds the preset threshold, there are defects inside the target tunnel lining area; if the number of peaks does not exceed the preset threshold, there are no defects inside the target tunnel lining area.

[0067] In a possible implementation, the acquisition module 51 is specifically configured to: according to a preset division rule, divide the interior of the target tunnel lining to obtain a plurality of target tunnel lining areas.

[0068] Figure 6 is a schematic diagram of the detection device provided by an embodiment of the present invention. As Figure 6 shown, the detection device 6 of this embodiment includes: a processor 60 and a memory 61. The memory 61 stores a computer program 62. When the processor 60 executes the computer program 62, the steps in the above-mentioned method embodiments are implemented. Or, when the processor 60 executes the computer program 62, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0069] It should be noted that the detection device 6 can either be a part of the laser vibrometer and be located inside the laser vibrometer, or be independent of the laser vibrometer and be an independent device.

[0070] Exemplarily, the computer program 62 can be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to implement the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 62 in the detection device 6.

[0071] The detection device 6 may include, but is not limited to, the processor 60 and the memory 61. Those skilled in the art can understand that Figure 6 this is merely an example of the electronic device 6 and does not constitute a limitation on the detection device 6. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the detection device 6 may further include input / output devices, network access devices, buses, etc.

[0072] The processor 60 can be a central processing unit (CPU), or can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0073] The memory 61 can be an internal storage unit of the detection device 6, such as the hard disk or memory of the detection device 6. The memory 61 can also be an external storage device of the detection device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on the detection device 6. Further, the memory 61 can also include both the internal storage unit and the external storage device of the detection device 6. The memory 61 is used to store the computer program 62 and other programs and data required by the detection device 6. The memory 61 can also be used to temporarily store the data that has been output or will be output.

[0074] For the convenience and simplicity of description, only the above division of each functional module / unit is used as an example. In actual applications, the above functions can be assigned to different functional modules / units according to needs. The above modules / units can be implemented in the form of hardware, or in the form of software, or in the form of a combination of hardware and software.

[0075] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the methods in the above method embodiments are implemented.

[0076] An embodiment of the present invention further provides a computer program product including a computer program. When the computer program is executed by a processor, the methods in the above method embodiments are implemented.

[0077] Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0078] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. Without special instructions and logical conflicts, the terms and / or descriptions between different embodiments are consistent and can be mutually referred to, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0079] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for detecting internal defects of a tunnel lining, characterized in that: The invention is applied to a tunnel lining internal defect detection system, the tunnel lining internal defect detection system comprises: a compressed air excitation device and a laser vibrometer, the compressed air excitation device is arranged below a target tunnel lining area to be detected, the laser vibrometer and the compressed air excitation device are arranged at a preset distance, and the laser vibrometer is communicatively connected with the compressed air excitation device, the method comprises: After determining that the switch of the compressed air excitation device is turned on, obtaining a vibration signal of the surface of the target tunnel lining area detected by the laser vibrometer; Performing frequency domain analysis on the vibration signal to obtain a vibration spectrum generated by the compressed air ejected by the compressed air excitation device to excite the target tunnel lining area; It is determined whether there are defects inside the target tunnel lining area based on the vibration spectrum.

2. The method for detecting internal defects of tunnel lining according to claim 1, characterized in that: Performing frequency domain analysis on the vibration signal to obtain a vibration spectrum generated by the compressed air ejected by the compressed air excitation device to excite the target tunnel lining area, including: The vibration signal is input into a preset formula for frequency domain analysis to obtain a frequency domain data set generated by the compressed air ejected by the compressed air excitation device to excite the target tunnel lining area; Based on the frequency domain data set, a vibration spectrum generated by the compressed air sprayed by the compressed air excitation device to excite the target tunnel lining area is plotted.

3. The method for detecting internal defects of tunnel lining according to claim 2, characterized in that: Based on the preset formula: X(f)=∫x(t)e -j2πft dt Among them, x(t) is the time domain signal in the vibration signal, X(f) is the frequency domain signal corresponding to the time domain signal, f is the frequency, e -j2πft is a complex exponential function.

4. The method for detecting internal defects of tunnel lining according to claim 1, characterized in that: The determining whether there are defects inside the target tunnel lining area based on the vibration spectrum includes: Based on the vibration spectrum, determining the number of peaks corresponding to the vibration spectrum; Based on the peak quantity, it is determined whether there are defects inside the target tunnel lining area.

5. The method for detecting internal defects of tunnel lining according to claim 4, characterized in that: The step of judging whether there are defects inside the target tunnel lining area based on the peak quantity includes: Determining whether the number of peaks of the vibration spectrum corresponding to the target tunnel lining area exceeds a preset threshold; If the peak value number exceeds a preset threshold, there are defects inside the target tunnel lining area; If the number of peak values ​​does not exceed a preset threshold, there are no defects inside the target tunnel lining area.

6. The method for detecting internal defects of tunnel lining according to claim 1, characterized in that: Before obtaining the vibration signal of the surface of the target tunnel lining area detected by the laser vibrometer, the method further includes: According to the preset division rules, the interior of the target tunnel lining is divided into regions to obtain multiple target tunnel lining regions.

7. A tunnel lining internal defect detection device, characterized in that: The invention is applied to a tunnel lining internal defect detection system, the tunnel lining internal defect detection system comprises: a compressed air excitation device and a laser vibrometer, the compressed air excitation device is arranged below the target tunnel lining area to be detected, the laser vibrometer and the compressed air excitation device are arranged at a preset distance, and the laser vibrometer is communicatively connected with the compressed air excitation device, and the device comprises: An acquisition module, configured to acquire a vibration signal of the surface of the target tunnel lining area detected by the laser vibrometer after determining that the switch of the compressed air excitation device is turned on; An analysis module, configured to perform frequency domain analysis on the vibration signal to obtain a vibration spectrum generated by the compressed air ejected by the compressed air excitation device to excite the target tunnel lining area; A judgment module is used to judge whether there are defects inside the target tunnel lining area based on the vibration spectrum.

8. A detection device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 6 when executing the computer program.

9. A tunnel lining internal defect detection system, characterized in that: comprising a compressed air excitation device, a laser vibrometer and a detection device as claimed in claim 8; The compressed air excitation device is arranged below the target tunnel lining area to be detected, the laser vibrometer is arranged at a preset distance from the compressed air excitation device, and the laser vibrometer is communicatively connected to the compressed air excitation device, and the laser vibrometer is communicatively connected to the detection device.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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