Defect analysis method and related device based on multi-modal electromagnetic ultrasonic signal tracking

Abstract

The present invention discloses a defect analysis method and related device based on multi-modal electromagnetic ultrasonic signal tracking, which relates to the field of non-destructive testing technology. The method comprises: obtaining a detection signal of a sample to be detected; extracting features from the detection signal to obtain extracted features; the extracted features include: the transit time of a wave packet and the echo amplitude of the wave packet; comparing the extracted features with reference features to obtain a defect echo signal; the reference features include: each transit time of a natural echo and the amplitude of a reference signal, and the natural echo includes: ultrasonic shear waves, ultrasonic longitudinal waves, and shear-longitudinal cross-echoes; feature analysis is performed on the defect echo signal to obtain the defect position and size of the sample to be detected. The present invention can effectively distinguish between natural echoes and defect echoes, reduce the interference of natural echoes on defect detection, and thus improve the accuracy and stability of electromagnetic ultrasonic testing.

Description

Technical Field

[0001] The present invention relates to the technical field of nondestructive testing, and in particular to a defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking and a related device. Background Art

[0002] As a new technology in the field of non-destructive testing, electromagnetic ultrasound has the basic principle that electromagnetic ultrasonic transducers (EMAT) generate ultrasonic signals in the specimen through electromagnetic coupling phenomenon, and then receive the echo reflected from the bottom of the specimen through the reverse electromagnetic coupling phenomenon, and analyze the received ultrasonic echo signal to calculate the thickness of the specimen or determine the defects and abnormalities inside the material. Ultrasonic testing technology processes and analyzes the time taken for the echo to propagate in the specimen through ultrasonic signals, calculates the distance the ultrasonic wave propagates in the specimen according to the formula, and then displays the calculation results to determine the characteristics and position of the signal. Compared with traditional ultrasonic testing technology, electromagnetic ultrasound has many advantages, such as wide application range, convenient operation, high precision, no need to use coupling agent, non-contact detection, and application in special environments such as high and low temperatures. However, it is precisely because of the principle of electromagnetic ultrasound that exciting ultrasound will generate a variety of different wave modes inside the specimen, such as transverse waves and longitudinal waves. When receiving ultrasonic signals, these waves of different waveforms will be received back by the transducer, and they interfere with each other, resulting in the instability of the A-scan detection signal, thereby increasing the difficulty of signal analysis.

[0003] When electromagnetic ultrasound is used for corrosion thickness measurement or flaw detection, the presence of these interference wave packets often affects the results of signal analysis, thereby limiting the accurate assessment of material defects. Summary of the invention

[0004] The purpose of the present invention is to provide a defect analysis method and related devices based on multimodal electromagnetic ultrasonic signal tracking, which can effectively distinguish between inherent echoes and defect echoes, reduce the interference of inherent echoes on defect detection, and thus improve the accuracy and stability of electromagnetic ultrasonic detection.

[0005] To achieve the above object, the present invention provides the following solution.

[0006] In a first aspect, the present invention provides a defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking, and the defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking includes.

[0007] Obtain the detection signal of the sample to be detected.

[0008] Feature extraction is performed on the detection signal to obtain extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet.

[0009] The extracted features are compared with the reference features to obtain defect echo signals; the reference features include: each transit time of the inherent echo and the amplitude of the reference signal, the inherent echo includes: ultrasonic shear wave, ultrasonic longitudinal wave and shear wave and longitudinal wave cross echo; each transit time of the inherent echo is the time calculated within the set sound path or sound time range; the reference signal is a signal obtained by detecting a position without defects in the sample to be detected.

[0010] The defect echo signal is subjected to characteristic analysis to obtain the defect position and size of the sample to be inspected.

[0011] Optionally, obtaining a detection signal of a sample to be detected specifically includes:

[0012] The excitation parameters of the electromagnetic ultrasonic transducer are set; the excitation parameters include: excitation waveform, excitation frequency, excitation energy, excitation cycle and signal acquisition mode.

[0013] According to the excitation parameters, the detection signal of the detected sample at the specified sound range or sound time is collected.

[0014] Optionally, feature extraction is performed on the detection signal to obtain extracted features, specifically including:

[0015] The detection signal is preprocessed to obtain a preprocessed detection signal; the preprocessing includes: filtering, denoising and amplitude normalization processing.

[0016] Perform feature extraction on the preprocessed detection signal to obtain extracted features.

[0017] Optionally, the calculation formula for each transit time of the inherent echo is:

[0018] .

[0019] .

[0020] .

[0021] in, It is the transit time of the ultrasonic shear wave to propagate a complete round trip in the sample to be tested. It is the transit time of the ultrasonic longitudinal wave to propagate a complete round trip in the sample to be tested. It is the complete round trip time for the transverse wave to be converted into a longitudinal wave at the bottom surface of the sample to be tested, and the longitudinal wave to be converted into a transverse wave at the bottom surface of the sample to be tested. is the thickness of the sample to be tested, is the ultrasonic shear wave velocity in the material, is the velocity of ultrasonic longitudinal waves in the material.

[0022] Optionally, the extracted features are compared with reference features to obtain defect echo signals, specifically including:

[0023] The transit time of the wave packet is compared with each transit time of the intrinsic echo to obtain a first echo signal; the first echo signal is a wave packet signal that does not overlap with each transit time of the intrinsic echo.

[0024] The echo amplitude of the wave packet is compared with the amplitude of the reference signal to obtain a second echo signal; the second echo signal is a wave packet signal whose amplitude does not overlap with that of the reference signal.

[0025] The first echo signal and the second echo signal are determined as defect echo signals.

[0026] Optionally, characteristic analysis is performed on the defect echo signal to obtain the defect position and size of the sample to be inspected, specifically including.

[0027] The transit time of each wave packet in the defect echo signal is used to characterize the position of the defect in the sample to be detected.

[0028] The amplitude of each wave packet in the defect echo signal is used to represent the size of the defect in the sample to be detected.

[0029] In a second aspect, the present invention provides a defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking, and the defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking includes.

[0030] The detection signal acquisition module is used to obtain the detection signal of the sample to be detected.

[0031] The feature extraction module is used to extract features from the detection signal to obtain extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet.

[0032] A comparison module is used to compare the extracted features with the reference features to obtain defect echo signals; the reference features include: each transit time of the inherent echo and the amplitude of the reference signal, the inherent echo includes: ultrasonic shear wave, ultrasonic longitudinal wave and shear wave and longitudinal wave cross echo; each transit time of the inherent echo is the time calculated within a set sound path or sound time range; the reference signal is a signal obtained by detecting a position where there is no defect in the sample to be detected.

[0033] The feature analysis module is used to perform feature analysis on the defect echo signal to obtain the defect position and size of the sample to be tested.

[0034] In a third aspect, the present invention provides 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 any of the above-described defect analysis methods based on multimodal electromagnetic ultrasonic signal tracking.

[0035] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned defect analysis methods based on multimodal electromagnetic ultrasonic signal tracking.

[0036] In a fifth aspect, the present invention provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned defect analysis methods based on multimodal electromagnetic ultrasonic signal tracking.

[0037] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0038] The present invention provides a defect analysis method and related device based on multi-modal electromagnetic ultrasonic signal tracking, by acquiring the detection signal of the sample to be detected; extracting the features of the detection signal to obtain the extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet; comparing the extracted features with the reference features to obtain the defect echo signal; the reference features include: each transit time of the inherent echo and the amplitude of the reference signal, the inherent echo includes: ultrasonic shear wave, ultrasonic longitudinal wave and shear wave and longitudinal wave cross echo; each transit time of the inherent echo is the time calculated within the set sound path or sound time range; the reference signal is a signal obtained by detecting at a position where there is no defect in the sample to be detected; the defect echo signal is feature analyzed to obtain the defect position and size of the sample to be detected. The present invention can effectively distinguish the inherent echo from the defect echo by accurately calculating the transit time of the inherent echo and analyzing the change of the detection signal amplitude, reducing the interference of the inherent echo on the defect detection, thereby improving the accuracy and stability of electromagnetic ultrasonic detection. By analyzing and calculating the characteristics of defect echoes, a more reliable and efficient means is provided for electromagnetic ultrasonic defect analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1This is a diagram of the application environment of a defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking in one embodiment of the present invention.

[0041] Figure 2 A schematic flow chart of a defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking provided by one embodiment of the present invention.

[0042] Figure 3 This is a diagram of the main echo signals of the EMAT during self-excitation and self-reception provided by an embodiment of the present invention.

[0043] Figure 4 This is a diagram of an echo signal of an EMAT self-excited and self-received according to an embodiment of the present invention.

[0044] Figure 5 A schematic diagram of functional modules of a defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking provided by one embodiment of the present invention.

[0045] Figure 6 A schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] In order to solve the problem of wave mode interference in electromagnetic ultrasonic testing, the present invention proposes a defect analysis method and related devices based on multimodal electromagnetic ultrasonic signal tracking, which can better analyze signal characteristics, thereby improving the processing and analysis capabilities of electromagnetic ultrasonic signals, reducing the influence of interference wave packets on signal analysis results, and improving the accuracy and stability of electromagnetic ultrasonic testing.

[0049] The defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking provided by the embodiment of the present invention can be applied to Figure 1In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the detection signal of the sample to be detected to the server 104. After the server 104 receives the detection signal of the sample to be detected, the server 104 extracts the features of the detection signal to obtain the extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet; the extracted features are compared with the reference features to obtain the defect echo signal; the reference features include: each transit time of the inherent echo and the amplitude of the reference signal, the inherent echo includes: ultrasonic shear wave, ultrasonic longitudinal wave and shear wave and longitudinal wave cross echo; each transit time of the inherent echo is the time calculated within the set sound path or sound time range; the reference signal is a signal obtained by detecting at a position where there is no defect in the sample to be detected; the defect echo signal is feature analyzed to obtain the defect position and size of the sample to be detected. The server 104 can feedback the obtained defect position and size of the sample to be detected to the terminal 102. In addition, in some embodiments, the defect analysis method based on multimodal electromagnetic ultrasonic signal tracking can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly perform defect analysis on the detection signal of the sample to be detected, or the server 104 can obtain the detection signal of the sample to be detected from the data storage system and perform defect analysis on the detection signal of the sample to be detected.

[0050] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, and tablet computers. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0051] In an exemplary embodiment, Figure 2 As shown, a defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In an embodiment of the present invention, the method is applied to Figure 1 The server 104 in the example is used for explanation, and the steps include the following steps S1 to S4.

[0052] S1: Obtain the detection signal of the sample to be detected.

[0053] S2: Extract features from the detection signal to obtain extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet.

[0054] S3: Compare the extracted features with the reference features to obtain defect echo signals; the reference features include: each transit time of the inherent echo and the amplitude of the reference signal, the inherent echo includes: ultrasonic shear wave, ultrasonic longitudinal wave and shear wave and longitudinal wave cross echo; each transit time of the inherent echo is the time calculated within the set sound path or sound time range; the reference signal is a signal obtained by detecting a position without defects in the sample to be detected.

[0055] S4: Perform characteristic analysis on the defect echo signal to obtain the defect position and size of the sample to be tested.

[0056] By implementing the above steps S1 to S4, by accurately calculating the transit time of the inherent echo and analyzing the change in the amplitude of the detection signal, it is possible to effectively distinguish the inherent echo from the defect echo, reduce the interference of the inherent echo on defect detection, and thus improve the accuracy and stability of electromagnetic ultrasonic detection. By analyzing and calculating the characteristics of the defect echo, a more reliable and efficient means is provided for electromagnetic ultrasonic defect analysis.

[0057] In an exemplary embodiment, step S1 specifically includes:

[0058] S11: setting the excitation parameters of the electromagnetic ultrasonic transducer; the excitation parameters include: excitation waveform, excitation frequency, excitation energy, excitation period and signal acquisition mode.

[0059] S12: According to the excitation parameters, the detection signal of the detected sample at the specified sound range or sound time is collected.

[0060] Place the electromagnetic ultrasonic transducer on the surface of the sample to be tested, control the detection system to excite and collect the detection signal of the specified sound path or sound time; before detecting defects, it is necessary to obtain a set of reference signals at the position where there are no defects on the sample to be tested.

[0061] In another exemplary embodiment of the present invention, step S2 specifically includes:

[0062] S21: preprocessing the detection signal to obtain a preprocessed detection signal; the preprocessing includes filtering, denoising and amplitude normalization processing.

[0063] S22: performing feature extraction on the preprocessed detection signal to obtain extracted features.

[0064] Depending on the actual situation, you can choose whether to perform pre-processing such as filtering and denoising on the detection signal; and perform amplitude normalization on the signal to make the signals under different acquisition conditions comparable.

[0065] To reduce the impact of random noise, the control system can repeatedly sample the same position, cache the data, and then calculate the average value to obtain a detection signal with less random noise. The detection signal can also be filtered as needed.

[0066] The signal processing of repeated sampling can be expressed as.

[0067] .

[0068] in, is the number of repeated samplings, During repeated sampling subsampled signal, It is the detection signal finally output by the system.

[0069] In another exemplary embodiment of the present invention, step S3 specifically includes:

[0070] S31: Compare the transit time of the wave packet with each transit time of the intrinsic echo to obtain a first echo signal; the first echo signal is a wave packet signal that does not overlap with each transit time of the intrinsic echo.

[0071] S32: Compare the echo amplitude of the wave packet with the amplitude of the reference signal to obtain a second echo signal; the second echo signal is a wave packet signal whose amplitude does not overlap with that of the reference signal.

[0072] S33: Determine the first echo signal and the second echo signal as defect echo signals.

[0073] In step S3, according to the structure of the sample to be detected, an acoustic time series expression of the inherent echo of each mode of sound wave propagation detection when the electromagnetic ultrasonic transducer excites ultrasonic waves in the structure is established.

[0074] Set the detection scanning sound path S or sound time range T, and calculate the transit time of all inherent echoes of the electromagnetic ultrasonic detection signal within the set sound path or sound time range when there are no defects in the inspected sample through the mathematical expression of the sound time series of each mode sound wave and the thickness and sound velocity of the inspected sample.

[0075] When in the self-excitation and self-receiving mode, the transit time of the ultrasonic shear wave to propagate a complete round trip in the sample to be tested is The transit time of the ultrasonic longitudinal wave to propagate a complete round trip in the sample to be tested is The time it takes for a shear wave to be converted into a longitudinal wave on the bottom surface of the sample to be tested, and vice versa. .

[0076] When the electromagnetic ultrasonic sensor is self-excited and self-received, the main echo received by the electromagnetic ultrasonic sensor may be the shear wave echo. , longitudinal wave echo Cross echo of shear wave and longitudinal wave , the corresponding echo transit time satisfies the following relationship.

[0077] .

[0078] .

[0079] .

[0080] in, Representative The bottom echo of the secondary shear wave is taken as , It is the transit time of the ultrasonic shear wave to propagate a complete round trip in the sample to be tested. It is the transit time of the ultrasonic longitudinal wave to propagate a complete round trip in the sample to be tested. It is the complete round trip time for the transverse wave to be converted into a longitudinal wave at the bottom surface of the sample to be tested, and the longitudinal wave to be converted into a transverse wave at the bottom surface of the sample to be tested. is the thickness of the sample to be tested, is the ultrasonic shear wave velocity in the material, is the velocity of ultrasonic longitudinal waves in the material.

[0081] like Figure 3 The figure shows the main echoes before the fifth shear wave bottom echo. Due to the reflection of the sound waves, these echoes will continue to be received again in the test piece in the form of converted shear waves and converted longitudinal waves. , , Three echoes with lower energy will be received, and the transit time of each echo is respectively.

[0082] .

[0083] .

[0084] .

[0085] .

[0086] .

[0087] .

[0088] .

[0089] .

[0090] .

[0091] in, It is the transit time of the secondary echo of the first ultrasonic shear wave to propagate a complete round trip in the sample to be tested. It is the transit time of the secondary echo of the second ultrasonic shear wave to propagate a complete round trip in the sample to be tested. It is the transit time of the secondary echo of the third ultrasonic shear wave to propagate a complete round trip in the sample to be tested. It is the transit time of the secondary echo of the first ultrasonic longitudinal wave to propagate a complete round trip in the sample to be tested. It is the transit time for the secondary echo of the second ultrasonic longitudinal wave to propagate a complete round trip in the sample to be tested. It is the transit time for the secondary echo of the third ultrasonic longitudinal wave to propagate a complete round trip in the sample to be tested. It is the complete round trip time for the first shear wave secondary echo to be converted into a longitudinal wave at the bottom of the sample to be tested, and the first longitudinal wave secondary echo to be converted into a shear wave at the bottom of the sample to be tested. It is the complete round trip time for the secondary echo of the second shear wave to be converted into a longitudinal wave at the bottom surface of the sample to be tested, and the secondary echo of the second longitudinal wave to be converted into a shear wave at the bottom surface of the sample to be tested. It is the complete round-trip transit time for the third shear wave secondary echo to be converted into a longitudinal wave at the bottom surface of the sample to be tested, and for the third longitudinal wave secondary echo to be converted into a shear wave at the bottom surface of the sample to be tested.

[0092] Due to the attenuation of sound waves, not all echoes will be reflected back as converted shear waves or converted longitudinal waves. Therefore, only the converted shear waves and converted longitudinal waves reflected back by the main echo received by the sensor are considered. The final waveform is as follows: Figure 4 shown.

[0093] When there is a defect in the inspection part of the sample to be inspected, a wave packet other than the inherent echo will appear in the inspection signal, which can be determined as a defect echo. If the position of the defect has a specific proportional relationship with the thickness of the inspected part, the transit time of the defect echo may coincide with the transit time of the inherent echo, making it difficult to simply rely on finding the defect echo to determine whether there is a defect. However, when there is a defect in the inspected part, the amplitude of each inherent echo of the inspection signal will change. By comparing it with the normalized reference signal amplitude, it can be found whether the defect echo coincides with the inherent echo due to a similar transit time, and whether it is a defect echo can be determined.

[0094] The transit times of the obtained intrinsic echoes are compared with the transit times of all wave packets of the detection signal in turn to find the intrinsic wave packets, and the wave packets found outside the intrinsic wave packets are marked. The normalized detection signal is compared with the normalized reference signal, and the wave packets with significant changes in wave packet amplitude are marked. Each marked echo is identified as a defect echo.

[0095] In another exemplary embodiment of the present invention, in step S4, it specifically includes.

[0096] S41: The transit time of each wave packet in the defect echo signal is used to characterize the position of the defect in the sample to be detected.

[0097] S42: The amplitude of each wave packet in the defect echo signal is used to represent the size of the defect in the sample to be detected.

[0098] Characteristic analysis refers to the transit time and amplitude of the wave packet. The amplitude represents the size of the defect, and the time corresponds to the position of the defect in the specimen. Therefore, by performing characteristic analysis on the defect echo signal, the defect can be located and quantified.

[0099] The present invention is based on multi-modal electromagnetic ultrasonic signal tracking technology. It effectively improves the accuracy of signal comparison and analysis by accurately calculating the electromagnetic ultrasonic multi-modal intrinsic echo transit and using amplitude normalization technology to standardize the detection signal. By comparing the transit time of each wave packet of the detection signal with the transit time of each wave packet of the intrinsic echo, and comparing the amplitude change of each wave packet of the reference signal after amplitude normalization with the detection signal, the characteristics of the defect echo can be automatically identified and analyzed. This process significantly enhances the processing and analysis capabilities of electromagnetic ultrasonic signals, reduces the interference of intrinsic echoes on defect detection, and improves the accuracy and detection efficiency of electromagnetic ultrasonic detection.

[0100] The present invention is based on the precise calculation of the electromagnetic ultrasonic multi-modal intrinsic echo transit time, combined with the change of the echo amplitude after amplitude normalization in the electromagnetic ultrasonic detection signal, to automatically analyze and distinguish the defect echo. By analyzing the characteristics of the defect echo, the defect positioning and quantification are achieved, which can significantly improve the processing and analysis capabilities of the electromagnetic ultrasonic signal. By accurately calculating the transit time of the intrinsic echo and analyzing the change in the detection signal amplitude, this method can effectively distinguish between the intrinsic echo and the defect echo, reduce the interference of the intrinsic echo on the defect detection, and thus improve the accuracy and stability of the electromagnetic ultrasonic detection. By analyzing and calculating the characteristics of the defect echo, a more reliable and efficient means is provided for electromagnetic ultrasonic defect analysis.

[0101] The present invention also provides an application scenario, which applies the above-mentioned defect analysis method based on multimodal electromagnetic ultrasonic signal tracking. Specifically: The defect analysis method based on multimodal electromagnetic ultrasonic signal tracking provided in this embodiment can be applied in non-destructive testing scenarios. The non-destructive testing scenario includes: a signal acquisition link, a feature extraction link, a comparison link, and a feature analysis link; by performing feature extraction on the acquired detection signal of the sample to be detected, the transit time of the wave packet and the echo amplitude of the wave packet are obtained, and then the transit time of the wave packet and the transit times of the inherent echo are compared, and the echo amplitude of the wave packet is compared with the amplitude of the reference signal to obtain a defect echo signal, and finally, by performing feature analysis on the defect echo signal, the defect position and size of the sample to be detected can be obtained.

[0102] Based on the same inventive concept, an embodiment of the present invention also provides an analysis device for implementing the defect analysis method based on multimodal electromagnetic ultrasonic signal tracking involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the defect analysis device based on multimodal electromagnetic ultrasonic signal tracking provided below can refer to the limitations of the defect analysis method based on multimodal electromagnetic ultrasonic signal tracking above, and will not be repeated here.

[0103] In an exemplary embodiment, Figure 5 As shown, a defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking is provided, and the defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking includes.

[0104] The detection signal acquisition module M1 is used to acquire the detection signal of the sample to be detected.

[0105] The feature extraction module M2 is used to extract features from the detection signal to obtain extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet.

[0106] The comparison module M3 is used to compare the extracted features with the reference features to obtain defect echo signals; the reference features include: the transit times of the inherent echoes and the amplitudes of the reference signals, and the inherent echoes include: ultrasonic shear waves, ultrasonic longitudinal waves, and shear-longitudinal cross echoes; the transit times of the inherent echoes are the times calculated within the set sound path or sound time range; the reference signal is a signal obtained by detecting a position where there are no defects in the sample to be detected.

[0107] The feature analysis module M4 is used to perform feature analysis on the defect echo signal to obtain the defect position and size of the sample to be tested.

[0108] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, 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 database of the computer device is used to store the detection signal of the sample to be detected. 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 through a network connection. When the computer program is executed by the processor, a defect analysis method based on multimodal electromagnetic ultrasonic signal tracking is implemented.

[0109] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0110] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the above-mentioned method embodiments are implemented when the processor executes the computer program.

[0111] 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 above-mentioned method embodiments are implemented.

[0112] 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 above-mentioned method embodiments are implemented.

[0113] 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 the present invention 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.

[0114] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments 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 by the present invention 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), magnetoresistive 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).

[0115] The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided by the present invention 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 is not limited thereto.

[0116] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are 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.

[0117] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A defect analysis method based on multimodal electromagnetic ultrasonic signal tracking, characterized in that: The defect analysis method based on multimodal electromagnetic ultrasonic signal tracking includes: Acquiring a detection signal of a sample to be detected; Extracting features from the detection signal to obtain extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet; The extracted features are compared with the reference features to obtain defect echo signals; the reference features include: each transit time of the inherent echo and the amplitude of the reference signal, the inherent echo includes: ultrasonic shear wave, ultrasonic longitudinal wave and shear wave and longitudinal wave cross echo; each transit time of the inherent echo is the time calculated within the set sound path or sound time range; the reference signal is a signal obtained by detecting a position without defects in the sample to be detected; Performing characteristic analysis on the defect echo signal to obtain the defect position and size of the sample to be tested; Comparing the extracted features with the reference features to obtain defect echo signals specifically includes: Comparing the transit time of the wave packet with each transit time of the intrinsic echo to obtain a first echo signal; the first echo signal is a wave packet signal that does not overlap with each transit time of the intrinsic echo; Comparing the echo amplitude of the wave packet with the amplitude of the reference signal to obtain a second echo signal; the second echo signal is a wave packet signal whose amplitude does not overlap with that of the reference signal; determining the first echo signal and the second echo signal as defect echo signals; The calculation formula of each transit time of the intrinsic echo is: ； ； ； in, It is the transit time of the ultrasonic shear wave to propagate a complete round trip in the sample to be tested. It is the transit time of the ultrasonic longitudinal wave to propagate a complete round trip in the sample to be tested. It is the complete round trip time for the transverse wave to be converted into a longitudinal wave at the bottom surface of the sample to be tested and the longitudinal wave to be converted into a transverse wave at the bottom surface of the sample to be tested. is the thickness of the sample to be tested, is the ultrasonic shear wave velocity in the material, is the ultrasonic longitudinal wave velocity in the material; Performing feature analysis on the defect echo signal to obtain the defect position and size of the sample to be tested, specifically including: The transit time of each wave packet in the defect echo signal is used to characterize the position of the defect in the sample to be detected; The amplitude of each wave packet in the defect echo signal is used to represent the size of the defect in the sample to be detected.

2. The defect analysis method based on multimodal electromagnetic ultrasonic signal tracking according to claim 1 is characterized in that: Obtaining the detection signal of the sample to be detected, specifically including: Setting the excitation parameters of the electromagnetic ultrasonic transducer; the excitation parameters include: excitation waveform, excitation frequency, excitation energy, excitation cycle and signal acquisition mode; According to the excitation parameters, the detection signal of the detected sample at the specified sound range or sound time is collected.

3. The defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking according to claim 1 is characterized in that: Performing feature extraction on the detection signal to obtain extracted features specifically includes: Preprocessing the detection signal to obtain a preprocessed detection signal; the preprocessing includes: filtering, denoising and amplitude normalization processing; Perform feature extraction on the preprocessed detection signal to obtain extracted features.

4. A defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking, the defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking is used to implement the defect analysis method based on multi-modal electromagnetic ultrasonic signal tracking according to any one of claims 1 to 3, characterized in that: The defect analysis device based on multi-modal electromagnetic ultrasonic signal tracking includes: A detection signal acquisition module, used to acquire the detection signal of the sample to be detected; A feature extraction module is used to extract features from the detection signal to obtain extracted features; the extracted features include: the transit time of the wave packet and the echo amplitude of the wave packet; A comparison module is used to compare the extracted features with the reference features to obtain defect echo signals; the reference features include: each transit time of the inherent echo and the amplitude of the reference signal, the inherent echo includes: ultrasonic shear wave, ultrasonic longitudinal wave and shear wave and longitudinal wave cross echo; each transit time of the inherent echo is the time calculated within the set sound path or sound time range; the reference signal is a signal obtained by detecting at a position where there is no defect in the sample to be detected; The feature analysis module is used to perform feature analysis on the defect echo signal to obtain the defect position and size of the sample to be tested.

5. 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 defect analysis method based on multimodal electromagnetic ultrasonic signal tracking as described in any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the defect analysis method based on multimodal electromagnetic ultrasonic signal tracking described in any one of claims 1 to 3 is implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the defect analysis method based on multimodal electromagnetic ultrasonic signal tracking described in any one of claims 1 to 3 is implemented.

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