Multi-channel phased surface wave detection method and device, medium and product

Abstract

The invention discloses a multi-channel phased surface wave detection method and device, a medium and a product, and relates to the technical field of surface wave detection.The method comprises the steps that a multi-channel phased surface wave original image is preprocessed, multi-channel phased surface wave target image data are obtained, waveform data in the multi-channel phased surface wave target image data are extracted, and the waveform data in the multi-channel phased surface wave target image data are obtained; and extracting characteristic parameters from waveform data in the multi-channel phased surface wave target image data, and performing comparative analysis on the multi-channel phased surface wave based on the characteristic parameters to obtain waveform characteristics of the multi-channel phased surface wave. The waveform feature is used for evaluating the property and state of the detected object, and determining and displaying a multi-channel phased surface wave detection result based on the waveform feature. According to the method, the universality and the flexibility of surface wave detection can be improved by performing feature extraction and analysis processing on the multichannel phased surface wave original image.

Description

Technical Field

[0001] The present application relates to the field of surface wave detection technology, and in particular to a multi-channel phase-controlled surface wave detection method, equipment, medium and product. Background Art

[0002] The excitation method of ultrasonic surface waves can be divided into two categories according to the type of sensor: piezoelectric and electromagnetic. Piezoelectric ultrasonic measurement uses a pulse module to output a pulse signal to an ultrasonic detector composed of piezoelectric ceramics, excites ultrasonic waves through the inverse piezoelectric effect, and then transmits them to the object being measured through the coupling medium to complete the piezoelectric ultrasonic measurement. This measurement method will affect the measurement results due to changes in adhesive thickness under different coupling conditions. In contrast, electromagnetic ultrasonic technology does not require a coupling agent and has lower surface requirements.

[0003] The publication number is PCTCN2021115581, named A combined inspection method for welding joints under high temperature conditions, which discloses the following steps: surface treatment of the welding joint and the parent materials on both sides; surface wave ultrasonic inspection of the welding joint; magnetic particle inspection of the welding joint; phased array ultrasonic inspection of the welding joint; type A ultrasonic inspection of the welding joint; comprehensively determine the defects of the welding joint based on the surface wave ultrasonic inspection results, magnetic particle inspection results, phased array ultrasonic inspection results and type A ultrasonic inspection results. This method can accurately detect the defects of the welding joint, but in actual use, it can only inspect the welding points, which cannot meet the measurement requirements of different samples, and its versatility and flexibility are not high. Summary of the invention

[0004] The purpose of this application is to provide a multi-channel phase-controlled surface wave detection method, equipment, medium and product, which can improve the versatility and flexibility of surface wave detection.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a multi-channel phased surface wave detection method, comprising:

[0007] Acquire a multi-channel phased surface wave original image of the object under test;

[0008] Preprocessing the multi-channel phased surface wave original image to obtain multi-channel phased surface wave target image data;

[0009] Extracting waveform data from multi-channel phased surface wave target image data;

[0010] Extracting characteristic parameters from waveform data in the multi-channel phased surface wave target image data;

[0011] Comparative analysis is performed on the multi-channel phased surface waves based on the characteristic parameters to obtain waveform characteristics of the multi-channel phased surface waves; the waveform characteristics are used to evaluate the properties and state of the object under test;

[0012] Based on the waveform characteristics, a multi-channel phased surface wave detection result is determined and displayed.

[0013] Optionally, the multi-channel phased surface wave original image is obtained by using a total focusing imaging technology after the multi-channel phased surface wave is excited by a multi-channel phased excitation system.

[0014] Optionally, the characteristic parameters include peak value, effective value, frequency and amplitude.

[0015] Optionally, obtaining a multi-channel phased surface wave original image of the object under test includes:

[0016] A multi-channel phased excitation system is used to excite a multi-channel phased surface wave of the object under test, and full-matrix capture is performed on the multi-channel phased surface wave to obtain full-matrix data;

[0017] The full-matrix data is superimposed and calculated using the full-focus imaging algorithm based on the root mean square velocity to obtain the full-focus imaging signal;

[0018] The full-focus imaging signal is calibrated to realize the multi-channel phased surface wave calibration full-focus imaging based on the root mean square velocity, and the multi-channel phased surface wave original image is obtained.

[0019] Optionally, preprocessing the multi-channel phased surface wave original image to obtain multi-channel phased surface wave target image data includes:

[0020] Filtering the original multi-channel phased surface wave image to obtain the denoised original multi-channel phased surface wave image data;

[0021] According to the Camera Link protocol, the original multi-channel phased surface wave image data after noise reduction is encoded and processed to obtain the initial image data;

[0022] The initial image data is converted from parallel to serial to obtain multi-channel phased surface wave target image data.

[0023] Optionally, extracting waveform data from the multi-channel phased surface wave target image data includes:

[0024] Using an edge detection algorithm, detecting edges in the multi-channel phased surface wave target image data, and obtaining the multi-channel phased surface wave target image data behind the edges;

[0025] Waveform contour data in multi-channel phased surface wave target image data after edge recognition using contour detection algorithm;

[0026] Converting the waveform profile data into a preset format to obtain initial waveform data;

[0027] The initial waveform data is processed using a smoothing algorithm to obtain waveform data of a multi-channel phased surface wave.

[0028] Optionally, the edge detection algorithm is a Canny edge detection method.

[0029] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned multi-channel phased surface wave detection method.

[0030] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned multi-channel phased surface wave detection method when executed by a processor.

[0031] In a fourth aspect, the present application provides a computer program product, including a computer program, which implements the above-mentioned multi-channel phased surface wave detection method when executed by a processor.

[0032] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0033] The present application provides a multi-channel phased surface wave detection method, equipment, medium and product. By processing the original image of the multi-channel phased surface wave, the detection accuracy and reliability can be improved. The multi-channel phased surface wave image processing technology can realize the precise control of the surface wave by controlling the transmission and reception of multiple channels, which can reduce noise and interference, improve the signal-to-noise ratio of the image, and thus improve the detection accuracy and reliability. Through the multi-channel phased technology, the surface wave can be phase controlled and the amplitude adjusted to achieve high-resolution imaging across multiple planes, significantly improve the imaging efficiency, and effectively detect defects such as cracks in the metal plate structure to ensure the safety and reliability of the structure. The multi-channel phased surface wave image processing technology can significantly improve the detection speed, reduce the detection time, and thus reduce the detection cost. , using a multi-channel phased surface wave detection system, it is possible to generate excitation signals for multiple channels at the same time, and delay the signals of each channel, so as to perceive stress information at different depths, achieve the purpose of stress gradient tomography detection, and improve the efficiency and accuracy of detection. The multi-channel design enables the system to flexibly respond to the measurement needs of different samples and can adapt to the detection of various materials, thereby improving the versatility and flexibility of the system, and improving the reliability and accuracy of detection. By amplifying the signal, it is ensured that a stable receiving signal can be generated under the action of the excitation signal, thereby improving the stability and reliability of the detection system. The multi-channel phased surface wave detection system adopts high-performance optical components and advanced detection technology, which can achieve high-sensitivity and high-resolution measurements and is suitable for the detection of trace samples. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 This is a flow chart of a multi-channel phased surface wave detection method in one embodiment of the present application;

[0036] Figure 2 This is a schematic diagram of a multi-channel phase-controlled surface wave detection method in one embodiment of the present application;

[0037] Figure 3 This is a schematic structural diagram of a multi-channel phase-controlled surface wave detection device in one embodiment of the present application;

[0038] Figure 4 This is a schematic diagram of the structure of a multi-channel phase-controlled excitation system in one embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0041] In an exemplary embodiment, Figure 1 As shown, a multi-channel phase-controlled surface wave detection method is provided, comprising:

[0042] Step 101: Acquire a multi-channel phased surface wave original image of the object under test. The multi-channel phased surface wave original image is obtained by using a full-focus imaging technology after a multi-channel phased excitation system excites a multi-channel phased surface wave.

[0043] Step 102: pre-processing the multi-channel phased surface wave original image to obtain multi-channel phased surface wave target image data.

[0044] Step 103: extracting waveform data from the multi-channel phased surface wave target image data.

[0045] Step 104: extracting characteristic parameters from the waveform data in the multi-channel phased surface wave target image data. The characteristic parameters include peak value, effective value, frequency and amplitude.

[0046] Step 105: Compare and analyze the multi-channel phased surface waves based on the characteristic parameters to obtain waveform characteristics of the multi-channel phased surface waves. The waveform characteristics are used to evaluate the properties and status of the object under test.

[0047] Step 106: Determine and display the multi-channel phased surface wave detection result based on the waveform characteristics.

[0048] Step 101 includes:

[0049] Step 101 - 1 : using a multi-channel phased excitation system to excite a multi-channel phased surface wave of the object under test, performing full-matrix capture on the multi-channel phased surface wave to obtain full-matrix data.

[0050] Step 101 - 2: Use the full-focus imaging algorithm based on root mean square velocity to perform superposition calculation on the full matrix data to obtain a full-focus imaging signal.

[0051] Step 101 - 3 : Calibrate the full-focus imaging signal to achieve multi-channel phased surface wave calibration full-focus imaging based on root mean square velocity, and obtain a multi-channel phased surface wave original image.

[0052] Step 102 includes:

[0053] Step 102 - 1 : filtering the original multi-channel phased surface wave image to obtain the multi-channel phased surface wave original image data after noise reduction.

[0054] Step 102 - 2 : Encode the noise-reduced multi-channel phased surface wave original image data according to the Camera Link protocol to obtain initial image data.

[0055] Step 102 - 3 : Perform parallel-to-serial conversion on the initial image data to obtain multi-channel phased surface wave target image data.

[0056] Step 103 includes:

[0057] Step 103-1: Detect the edge in the multi-channel phased surface wave target image data using an edge detection algorithm to obtain the multi-channel phased surface wave target image data after the edge detection. The edge detection algorithm is the Canny edge detection method.

[0058] Step 103 - 2 : Using a contour detection algorithm to identify the waveform contour data in the multi-channel phased surface wave target image data after the edge is identified.

[0059] Step 103 - 3 : Convert the waveform profile data into a preset format to obtain initial waveform data.

[0060] Step 103 - 4 : Use a smoothing algorithm to process the initial waveform data to obtain waveform data of a multi-channel phased surface wave.

[0061] like Figure 2 As shown, this embodiment can generate excitation signals of multiple channels at the same time, so as to sense stress information at different depths, improve the efficiency and accuracy of detection, and the multi-channel design enables the system to flexibly respond to the measurement requirements of different samples, and can adapt to the detection of various materials, thereby improving the versatility and flexibility of the system. The multi-channel phased surface wave detection system adopts high-performance optical components and advanced detection technology, which can achieve high-sensitivity and high-resolution measurement, and is suitable for the detection of trace samples, thereby improving the versatility and flexibility of surface wave detection. Specifically, the multi-channel phased surface wave detection method provided in this embodiment includes the following steps:

[0062] Step 1: Select the detection system and set the sampling parameters, such as sampling interval and sampling length, and arrange the measurement points according to the detection requirements, including multiple channels to cover different detection areas.

[0063] Step 2: Place the surface wave sensor on the test piece, use the multi-channel phased excitation system to stimulate the multi-channel phased surface wave of the surface wave sensor and perform full-focus imaging to obtain the original image of the multi-channel phased surface wave. Through the multi-channel phased technology, the surface wave can be phase controlled and the amplitude adjusted to achieve high-resolution imaging across multiple planes, significantly improve the imaging efficiency, and effectively detect defects such as cracks in metal plate structures.

[0064] Step 3: After processing the multi-channel phased surface wave original image, the multi-channel phased surface wave target image data is obtained. By generating and processing the multi-channel phased surface wave original image, the detection accuracy and reliability can be improved, the precise control of the surface wave can be achieved, and the safety and reliability of the structure can be ensured. The multi-channel phased surface wave image processing technology can significantly improve the detection speed, reduce the detection time, and thus reduce the detection cost.

[0065] Step 4: Detect the edge in the multi-channel phased surface wave target image data, extract the waveform data for processing, and obtain the waveform data of the multi-channel phased surface wave.

[0066] Step 5: Smooth the collected waveform data to obtain accurate waveform information of the multi-channel phased surface wave. By smoothing the data, the noise can be removed or weakened to make the data more accurate, the fluctuation can be reduced, and the data can be more stable. The outliers can be eliminated or weakened, making the data more reliable, improving the accuracy and reliability of data analysis, and enabling analysts to more easily understand the information conveyed by the data, thereby improving the prediction accuracy of future data.

[0067] Step 6: Analyze the processed waveform data, determine the waveform characteristics of the multi-channel phased surface wave, evaluate the properties and state of the object under test, obtain the multi-channel phased surface wave detection results, and convert the detection results into graphics for display.

[0068] like Figure 3 In an exemplary embodiment, a multi-channel phase-controlled surface wave detection device is provided, comprising:

[0069] An image generation module, which uses a multi-channel phased excitation system to excite a multi-channel phased surface wave and uses full-focus imaging to obtain a multi-channel phased surface wave original image;

[0070] A data processing module is used to pre-process the original image of the multi-channel phased surface wave, convert the parallel-to-serial data to obtain the target image data of the multi-channel phased surface wave, process the extracted waveform data, obtain the waveform data of the multi-channel phased surface wave and process it;

[0071] The analysis and evaluation module analyzes the processed waveform data, determines the waveform characteristics of the multi-channel phased surface wave, evaluates the properties and status of the object under test, obtains the multi-channel phased surface wave detection results and displays them.

[0072] Among them, the image generation module uses a multi-channel phased excitation system to excite a multi-channel phased surface wave and perform full matrix capture to obtain full matrix data. The full-matrix data is superimposed and calculated using a full-focus imaging algorithm based on root mean square velocity to obtain the full-focus imaging signal amplitude. The full-focus imaging signal is calibrated to achieve multi-channel phased surface wave calibration full-focus imaging based on root mean square velocity, and the original image of the multi-channel phased surface wave is obtained. Specifically, the image generation module includes:

[0073] The excitation module is used to excite the multi-channel phased surface wave by using the multi-channel phased excitation system and perform full-matrix capture, and calculate the amplitude of the full-focus imaging signal.

[0074] The imaging module is used to realize multi-channel phased surface wave calibration full-focus imaging based on root mean square velocity by using full-focus imaging signals to obtain the original image of the multi-channel phased surface wave.

[0075] like Figure 4 , a multi-channel phase-controlled excitation system, including: a synchronous filter, used to provide a sinusoidal voltage signal synchronized with the AC voltage of the main module, which is filtered to become an ideal sinusoidal voltage signal, and determines the starting phase of the trigger pulse corresponding to the rectifier main module. A sawtooth wave synchronous signal generator, used to generate a sawtooth wave or a sinusoidal wave synchronous phase-shifted voltage, the phase shifter compares the synchronous phase-shifted voltage with the control voltage, and generates a trigger signal at the intersection of the two voltages. Changing the size of the control voltage can change the trigger lag angle. A pulse forming and distributor, used to generate a trigger pulse, convert the generated pulse into a double narrow pulse that meets the requirements of width, shape and phase, and then output it by a pulse outputter. A DDS signal synthesis module, used to generate different delay times to realize the phase control function, and the analog after the phase control delay is then passed through a low-pass filter module and a differential to single-ended module to achieve noise reduction and differential current conversion into a single-ended output voltage signal. A signal amplification module, used to receive the voltage signal and filter and amplify it, and the echo signal after filtering and amplification is further amplified by a voltage-controlled gain module.

[0076] The image processing module performs filtering processing on the original multi-channel phased surface wave image to obtain the denoised original multi-channel phased surface wave image data; encodes the denoised original multi-channel phased surface wave image data according to the Camera Link protocol to obtain the initial image data; and performs parallel-to-serial conversion on the initial image data to obtain the multi-channel phased surface wave target image data.

[0077] Specifically, the data processing module includes:

[0078] The image processing module is used to pre-process the original image of the multi-channel phased surface wave to obtain initial image data, and perform parallel-to-serial conversion on the initial image data to obtain multi-channel phased surface wave target image data.

[0079] The image processing module can improve the detection accuracy and reliability by processing the original image of the multi-channel phased surface wave. The multi-channel phased surface wave image processing technology can realize the precise control of the surface wave by controlling the transmission and reception of multiple channels, which can reduce noise and interference, improve the signal-to-noise ratio of the image, and thus improve the detection accuracy and reliability. Through the multi-channel phased technology, the surface wave can be phase controlled and the amplitude adjusted to achieve high-resolution imaging across multiple planes, significantly improve the imaging efficiency, and effectively detect defects such as cracks in the metal plate structure to ensure the safety and reliability of the structure. The multi-channel phased surface wave image processing technology can significantly improve the detection speed, reduce the detection time, and thus reduce the detection cost.

[0080] The waveform extraction module is used to detect the edge in the multi-channel phased surface wave target image data, and process the extracted waveform data to obtain the waveform data of the multi-channel phased surface wave.

[0081] The waveform extraction module uses the Canny edge detection method to detect the edges in the multi-channel phased surface wave target image data, extracts the waveform data from the multi-channel phased surface wave target image data behind the edge, uses the contour detection algorithm to identify the waveform contour in the multi-channel phased surface wave target image data, and uses the skeleton extraction algorithm to obtain a single-pixel wide waveform line for the thicker edges; extracts the waveform data from the waveform contour in the identified multi-channel phased surface wave target image data, and converts the extracted waveform data into a format that can be used for subsequent analysis; uses the smoothing algorithm to smooth the extracted waveform data, removes burrs and noise, and obtains the waveform data of the multi-channel phased surface wave, which can reduce noise and interference, improve the signal-to-noise ratio of the image, and thus improve the accuracy and reliability of detection.

[0082] The analysis and evaluation module extracts characteristic parameters from the processed waveform data of the multi-channel phased surface wave, the characteristic parameters including peak value, effective value, frequency and amplitude, and determines the waveform characteristics of the multi-channel phased surface wave; compares and analyzes the waveforms of the multi-channel phased surface wave according to the extracted characteristic parameters to obtain the waveform characteristics of the multi-channel phased surface wave; evaluates the properties and state of the object under test according to the waveform characteristics of the channel phased surface wave to obtain the detection results of the multi-channel phased surface wave; converts the detection results of the multi-channel phased surface wave into graphics, and displays the graphics.

[0083] Specifically, the analysis and evaluation module includes:

[0084] The analysis module is used to analyze the processed waveform data and determine the waveform characteristics of the multi-channel phased surface wave.

[0085] The evaluation module is used to evaluate the properties and state of the object under test according to the waveform characteristics of the channel phased surface wave, and obtain the multi-channel phased surface wave detection result.

[0086] The display module is used to convert the detection results of the multi-channel phased surface wave into graphics and display them.

[0087] A multi-channel phased surface wave detection device provided in this embodiment can simultaneously generate excitation signals of multiple channels and perform delay processing on the signals of each channel, thereby realizing the perception of stress information at different depths, improving the efficiency and accuracy of detection. The multi-channel design enables the system to flexibly respond to the measurement requirements of different samples and can adapt to the detection of various materials, thereby improving the versatility and flexibility of the system and improving the stability and reliability of the detection system. The multi-channel phased surface wave detection system adopts high-performance optical elements and advanced detection technology, can realize high-sensitivity and high-resolution measurement, and is suitable for the detection of trace samples.

[0088] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a multi-channel phased surface wave detection method is implemented.

[0089] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0090] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0091] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0092] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0093] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited thereto. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. Specific examples are used herein to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and its core idea of ​​this application; at the same time, for those of ordinary skill in the art, according to the idea of ​​this application, there will be changes in the specific implementation methods and scope of application. In summary, the content of this specification should not be understood as a limitation on this application.

Claims

1. A multi-channel phased surface wave detection method, characterized in that: include: Acquire a multi-channel phased surface wave original image of the object under test; Preprocessing the multi-channel phased surface wave original image to obtain multi-channel phased surface wave target image data; Extracting waveform data from multi-channel phased surface wave target image data; Extracting characteristic parameters from waveform data in the multi-channel phased surface wave target image data; Comparative analysis is performed on the multi-channel phased surface waves based on the characteristic parameters to obtain waveform characteristics of the multi-channel phased surface waves; the waveform characteristics are used to evaluate the properties and state of the object under test; Based on the waveform characteristics, a multi-channel phased surface wave detection result is determined and displayed.

2. The multi-channel phased surface wave detection method according to claim 1, characterized in that: The multi-channel phased surface wave original image is obtained by using a full-focus imaging technology after a multi-channel phased excitation system excites the multi-channel phased surface wave.

3. The multi-channel phased surface wave detection method according to claim 1, characterized in that: The characteristic parameters include peak value, effective value, frequency and amplitude.

4. The multi-channel phased surface wave detection method according to claim 2, characterized in that: Acquire multi-channel phased surface wave raw images of the object under test, including: A multi-channel phased excitation system is used to excite a multi-channel phased surface wave of the object under test, and full-matrix capture is performed on the multi-channel phased surface wave to obtain full-matrix data; The full-matrix data is superimposed and calculated using the full-focus imaging algorithm based on the root mean square velocity to obtain the full-focus imaging signal; The full-focus imaging signal is calibrated to realize the multi-channel phased surface wave calibration full-focus imaging based on the root mean square velocity, and the multi-channel phased surface wave original image is obtained.

5. The multi-channel phased surface wave detection method according to claim 1, characterized in that: Preprocessing the multi-channel phased surface wave original image to obtain multi-channel phased surface wave target image data includes: Filtering the original multi-channel phased surface wave image to obtain the denoised original multi-channel phased surface wave image data; According to the Camera Link protocol, the original multi-channel phased surface wave image data after noise reduction is encoded and processed to obtain the initial image data; The initial image data is converted from parallel to serial to obtain multi-channel phased surface wave target image data.

6. The multi-channel phased surface wave detection method according to claim 1, characterized in that: Extract waveform data from multi-channel phased surface wave target image data, including: Using an edge detection algorithm, detecting edges in the multi-channel phased surface wave target image data, and obtaining the multi-channel phased surface wave target image data behind the edges; Waveform contour data in multi-channel phased surface wave target image data after edge recognition using contour detection algorithm; Converting the waveform profile data into a preset format to obtain initial waveform data; The initial waveform data is processed using a smoothing algorithm to obtain waveform data of a multi-channel phased surface wave.

7. The multi-channel phased surface wave detection method according to claim 6, characterized in that: The edge detection algorithm is the Canny edge detection method.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the multi-channel phased surface wave detection method according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the multi-channel phased surface wave detection method according to any one of claims 1 to 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the multi-channel phased surface wave detection method according to any one of claims 1 to 7 is implemented.

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