Electromagnetic ultrasonic imaging enhancement method and related device based on wave packet decomposition optimization

Abstract

The present invention discloses an electromagnetic ultrasonic imaging enhancement method and related devices based on wave packet decomposition optimization, which relates to the field of non-destructive testing technology. The method comprises: obtaining a detection signal of a sample to be detected; the detection signal is one-dimensional linear array data or two-dimensional linear array data; subtracting the detection signal from a reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detection at a position where the sample to be detected has no defects; performing wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and time delay; based on the defect signal wave packet, determining a reconstructed signal; imaging the reconstructed signal to obtain defect imaging of the sample to be detected. The present invention can improve the defect imaging quality, realize accurate detection and positioning of defects in the sample to be detected, and improve detection efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of nondestructive testing, and in particular to an electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization and a related device. Background Art

[0002] Electromagnetic ultrasound is a new technology in the field of nondestructive testing. It uses electromagnetic coupling to excite and receive ultrasonic waves. Compared with traditional ultrasonic testing technology, it has the advantages of high precision, no need for coupling agents, non-contact, and suitable for high and low temperature testing. However, when electromagnetic ultrasonic transducers excite ultrasonic waves, they will generate a variety of different wave modes, such as transverse waves and longitudinal waves, when propagating through heterogeneous interfaces inside the test piece. When using the A-type pulse method for defect detection, these different modes of ultrasonic waves will form interference echoes, which increases the difficulty of defect analysis. Especially for small defect detection, this interference will be more obvious, and the defect analysis will be more difficult. For this reason, the combination of B-scan, C-scan, SAFT, phased array and other imaging methods can effectively improve the electromagnetic ultrasonic defect detection capability. However, the interference wave packets in the detection signal are also easy to form artifacts in the imaging detection, affecting the identification and interpretation of defects, and thus unable to achieve accurate detection and positioning of defects in the test sample, and the detection efficiency is low. Summary of the invention

[0003] The purpose of the present invention is to provide an electromagnetic ultrasonic imaging enhancement method and related devices based on wave packet decomposition optimization, which can improve the defect imaging quality, realize accurate detection and positioning of defects in the sample to be inspected, and improve detection efficiency and accuracy.

[0004] To achieve the above object, the present invention provides the following solution.

[0005] In a first aspect, the present invention provides an electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization, and the electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization includes:

[0006] Acquire a detection signal of the sample to be detected; the detection signal is one-dimensional linear array data or two-dimensional linear array data.

[0007] The detection signal is subtracted from the reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detecting a position where there is no defect in the sample to be detected.

[0008] The defect information matrix data is subjected to wave packet decomposition to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and time delay.

[0009] Based on the defect signal wave packet, a reconstructed signal is determined.

[0010] The reconstructed signal is imaged to obtain defect imaging of the sample to be inspected.

[0011] Optionally, wave packet decomposition is performed on the defect information matrix data to obtain a defect signal wave packet, specifically including:

[0012] The defect information matrix data is preprocessed to obtain preprocessed data; the preprocessing includes: filtering processing and denoising processing.

[0013] Using the excitation signal waveform output to the sensor as a template, a reference signal having the same length as the preprocessed data is established; the reference signal is the excitation signal waveform.

[0014] Based on the zero-mean normalized cross-correlation criterion, the reference signal is correlated and matched with the preprocessed data to determine the amplitude and delay of the defect signal wave packet.

[0015] Optionally, imaging the reconstructed signal to obtain defect imaging of the sample to be inspected specifically includes:

[0016] The reconstructed signal is interpolated using a bicubic B-spline signal interpolation method to obtain a defect imaging of the sample to be detected.

[0017] Optionally, the expression of the defect signal wave packet is:

[0018] .

[0019] in, is the defect signal wave packet, is the defect signal wave packet amplitude, is the time delay of the defect signal wave packet, is the time corresponding to the signal sampling point, is the pulse width coefficient of the Gaussian function, is the frequency of the exciting cosine wave.

[0020] Optionally, the expression of the reference signal is:

[0021] .

[0022] in, is the reference signal, is the time corresponding to the signal sampling point, is the pulse width coefficient of the Gaussian function, is the frequency of the exciting cosine wave.

[0023] Optionally, the expression of the zero-mean normalized cross-correlation criterion is:

[0024] .

[0025] in, For each delayZNJC Correlation coefficient, is the total number of signal sampling points, For the signal sampling points, is the mean value of the excitation signal, is the mean value of the detection signal, For the The value of the excitation signal, For the The value of a detection signal.

[0026] In a second aspect, the present invention provides an electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization, and the electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization includes.

[0027] The detection signal acquisition module is used to acquire the detection signal of the sample to be detected; the detection signal is one-dimensional linear array data or two-dimensional linear array data.

[0028] A subtraction module is used to subtract the detection signal from a reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detecting a position without defects on the sample to be detected.

[0029] The wave packet decomposition module is used to perform wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and delay.

[0030] The reconstructed signal determination module is used to determine the reconstructed signal based on the defect signal wave packet.

[0031] The imaging module is used to image the reconstructed signal to obtain defect imaging of the sample to be detected.

[0032] 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-mentioned electromagnetic ultrasonic imaging enhancement methods based on wave packet decomposition optimization.

[0033] 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 electromagnetic ultrasonic imaging enhancement methods based on wave packet decomposition optimization.

[0034] 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 electromagnetic ultrasonic imaging enhancement methods based on wave packet decomposition optimization.

[0035] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0036] The present invention provides an electromagnetic ultrasonic imaging enhancement method and related device based on wave packet decomposition optimization, which obtains the detection signal of the sample to be detected; subtracts the detection signal from the reference signal to obtain defect information matrix data; performs wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and time delay. Based on the defect signal wave packet, a reconstructed signal is determined. The reconstructed signal is imaged to obtain the defect imaging of the sample to be detected. The present invention uses wave packet decomposition to realize defect wave packet tracking of the electromagnetic ultrasonic detection signal, decomposes the defect signal wave packet, and reconstructs the signal based on the decomposed defect signal wave packet to complete electromagnetic ultrasonic imaging, thereby eliminating the influence of the interference wave packet in the A-scan signal during the imaging process, and can improve the defect imaging quality. Accurate detection and positioning of defects in the sample to be detected is achieved, and detection efficiency and accuracy are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] 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.

[0038] Figure 1 This is a diagram of the application environment of an electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization in one embodiment of the present invention.

[0039] Figure 2 A schematic flow chart of an electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization provided by an embodiment of the present invention.

[0040] Figure 3 A time domain waveform diagram of an excitation signal provided by an embodiment of the present invention.

[0041] Figure 4 A waveform diagram of an excitation signal spectrum provided by an embodiment of the present invention.

[0042] Figure 5 This is an interpolation principle diagram provided by an embodiment of the present invention.

[0043] Figure 6 This is a SAFT imaging diagram of an A-scan signal provided by an embodiment of the present invention.

[0044] Figure 7 This is a SAFT imaging diagram of a signal reconstructed after wave packet decomposition provided by an embodiment of the present invention.

[0045] Figure 8 This is a reconstructed signal interpolation imaging diagram provided by an embodiment of the present invention.

[0046] Fig. 9 A schematic diagram of functional modules of an electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization provided by one embodiment of the present invention.

[0047] Fig.10 A system block diagram provided for an embodiment of the present invention.

[0048] Fig.11 A schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] 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.

[0050] 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.

[0051] The electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization provided by the embodiment of the present invention can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the 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 acquired detection signal of the sample to be detected to the server 104. After the server 104 receives the detection signal, for the detection signal, the server 104 subtracts the detection signal from the reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detection at a position where there is no defect in the sample to be detected; the defect information matrix data is decomposed by wave packet to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and time delay; based on the defect signal wave packet, a reconstructed signal is determined; the reconstructed signal is imaged to obtain a defect imaging of the sample to be detected. The server 104 can feed back the obtained defect imaging to the terminal 102. In addition, in some embodiments, the electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly perform defect imaging on the detection signal, or the server 104 can obtain the detection signal from the data storage system and perform defect imaging on the detection signal.

[0052] 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.

[0053] In an exemplary embodiment, Figure 2 As shown, an electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization 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 S5.

[0054] S1: Acquire a detection signal of a sample to be detected; the detection signal is one-dimensional linear array data or two-dimensional linear array data.

[0055] S2: Subtract the detection signal from the reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detecting a position without defects on the sample to be detected.

[0056] S3: performing wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and time delay.

[0057] S4: Determine a reconstructed signal based on the defect signal wave packet.

[0058] S5: Imaging the reconstructed signal to obtain defect imaging of the sample to be inspected.

[0059] By implementing the above steps S1 to S5, the present invention uses wave packet decomposition to realize defect wave packet tracking of electromagnetic ultrasonic detection signals, decomposes defect signal wave packets, and reconstructs signals based on the decomposed defect signal wave packets to complete electromagnetic ultrasonic imaging, so as to eliminate the influence of interference wave packets in the A-scan signal during the imaging process, thereby improving the defect imaging quality. Accurate detection and positioning of defects in the test piece are achieved, and detection efficiency and accuracy are improved.

[0060] In an exemplary embodiment, in step S1, an electromagnetic ultrasonic sensor is placed on a sample to be detected, and the electromagnetic ultrasonic detection system is controlled to excite the sensor to detect the sample to be detected. Detection signal matrix data is obtained by single sensor step scanning or array sensor detection. The data can be one-dimensional linear array or two-dimensional matrix data.

[0061] In an exemplary embodiment, in step S2, a set of reference signals is obtained by detecting a position without defects of the sample to be detected. The collected detection signal is subtracted from the reference signal to eliminate or reduce the influence of the structural inherent echo, and the detection signal matrix data mainly containing defect information is obtained.

[0062] In an exemplary embodiment, step S3 specifically includes:

[0063] S31: preprocessing the defect information matrix data to obtain preprocessed data; the preprocessing includes filtering and denoising.

[0064] S32: Using the excitation signal waveform output to the sensor as a template, establish a reference signal of the same length as the preprocessed data; the reference signal is the excitation signal waveform.

[0065] S33: Based on a zero-mean normalized crosscorrelation criterion (ZNCC), correlation matching is performed between the reference signal and the preprocessed data to determine the amplitude and delay of the defect signal wave packet.

[0066] In this step, the excitation signal waveform output by the detection system to the sensor is used as a template (the waveform template is as follows Figure 3 and Figure 4 As shown in the figure), a reference signal of the same length as the detection signal is established, and the delay of the excitation signal waveform in the reference signal is gradually adjusted to generate a series of reference signals, which are correlated and matched with the detection signal. Calculate the ZNJC Correlation coefficient, setting ZNJC Threshold. ZNJC The maximum value exceeding the threshold can be determined as the location of the defect signal wave packet. ZNJC The defect signal wave packet is tracked and the defect signal wave packet is decomposed.

[0067] The electromagnetic ultrasonic transducer defect detection signal can be expressed as:

[0068] (1).

[0069] in, is the defect signal wave packet, and are the spurious wave signal and amplitude respectively, The excitation signal waveform is a cosine wave modulated by a Gaussian function.

[0070] (2).

[0071] in, is the reference signal, is the time corresponding to the signal sampling point, is the pulse width coefficient of the Gaussian function, is the frequency of the exciting cosine wave. The defect signal wave packet can be expressed as.

[0072] (3).

[0073] in, is the defect signal wave packet, is the amplitude of the defect signal wave packet, is the time delay of the defect signal wave packet.

[0074] The set excitation signal waveform is correlated and matched with the defect detection signal to determine the amplitude and delay of the defect signal wave packet. The present invention uses the zero mean normalized cross-correlation criterion as the judgment basis.

[0075] (4).

[0076] in, For each delay ZNJC Correlation coefficient, is the total number of signal sampling points, For the signal sampling points, is the mean value of the excitation signal, is the mean value of the detection signal, For the The value of the excitation signal, For the The value of a detection signal. ZNJC It is insensitive to changes in local signal amplitude and has good robustness. ZNJC The value range of is [0, 1], and the closer it is to 1, the higher the correlation.

[0077] In an exemplary embodiment, in step S4, the amplitude of the defect signal wave packet is extracted, and the signal is reconstructed using the time delay and the corrected amplitude. The time delay and amplitude of the defect signal wave packet are as follows.

[0078] (5).

[0079] (6).

[0080] in, is the position parameter of the wave packet in the waveform emission period, is the decomposed defect signal wave packet, that is .

[0081] In an exemplary embodiment, in step S5, imaging is performed using the reconstructed detection signal matrix data to eliminate artifact interference. Specifically, the imaging resolution is improved by interpolating the reconstructed data.

[0082] The imaging quality of synthetic aperture focusing imaging technology is affected by the number of detection signals. Reducing the transducer scanning step and increasing the number of detection signals can improve the signal-to-noise ratio and the imaging quality. Reducing the step will increase the hardware cost and lead to reduced detection efficiency. To address this problem, the bicubic B-spline signal interpolation method is used to increase the number of detection signals. The interpolation diagram is shown in the figure. Figure 5 As shown, the signal value of the interpolation point is.

[0083] (7).

[0084] in, Interpolate the time series of a single set of detection signals. If the sampling frequency is large and the sampling points are small, interpolation can be performed on the time series. and is a bicubic B-spline signal interpolation constant coefficient matrix, and the signal quantity and sampling frequency of the detection signal can be adjusted by interpolation; Interpolate the sampling intervals between multiple groups of signals. If several groups of signals are sampled but the sampling positions are far away, interpolation can be performed on the position sequence. Figure 6-Figure 8 shown.

[0085] The present invention proposes a defect wave packet tracking technology for electromagnetic ultrasonic detection signals by wave packet decomposition, decomposes defect wave packets, and reconstructs signals based on the decomposed defect wave packets to complete electromagnetic ultrasonic imaging, so as to eliminate the influence of interference wave packets in the A-scan signal during the imaging process. The accurate detection and positioning of defects in the test piece are achieved, and the detection efficiency and accuracy are improved. The reconstructed signal is interpolated to increase the number of signals, which can improve the quality of electromagnetic ultrasonic synthetic aperture focusing imaging without reducing the detection efficiency.

[0086] The present invention optimizes the wave packet decomposition in the electromagnetic ultrasonic detection signal based on wave packet decomposition, tracks the defect wave packet reconstruction signal, and interpolates the reconstructed signal, which increases the number of signals and can improve the imaging quality from three aspects: 1. Eliminate artifacts. Decomposing the wave packet reconstruction signal can extract the defect echo for imaging, and eliminate the artifacts caused by the influence of other waveform wave packets and noise signals; 2. Improve the resolution. Increasing the number of signals can improve the longitudinal resolution of the image, and can more finely depict the target structure, so as to make the image clearer; 3. Optimize the signal-to-noise ratio. Whether from the perspective of decomposing the wave packet reconstruction signal or from the perspective of increasing the number of signals, the relative strength of the signal can be improved, the influence of noise on the imaging quality can be reduced, the ratio of signal to noise can be improved, the imaging result can be clearer, and the image quality and usability can be improved. The proposed method can realize defect wave packet tracking, and effectively improve the defect imaging quality without reducing the detection efficiency, taking into account both the detection efficiency and the imaging quality.

[0087] The present invention also provides an application scenario, which applies the above-mentioned electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization. Specifically: The electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization provided in this embodiment can be applied in non-destructive testing scenarios. The non-destructive testing scenario includes: a detection signal acquisition link, a difference link, a wave packet decomposition link, a reconstruction link and a defect imaging link; the acquired detection signal is subtracted from the reference signal to obtain defect information matrix data; then the defect information matrix data is decomposed by wave packet to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and time delay; based on the defect signal wave packet, a reconstructed signal is determined; the reconstructed signal is imaged to obtain the defect imaging of the sample to be detected.

[0088] Based on the same inventive concept, an embodiment of the present invention further provides an imaging enhancement device for implementing the electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization 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 the embodiments of one or more electromagnetic ultrasonic imaging enhancement devices based on wave packet decomposition optimization provided below can refer to the limitations of the electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization above, and will not be repeated here.

[0089] In an exemplary embodiment, Fig. 9 As shown, an electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization is provided, and the electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization includes:

[0090] The detection signal acquisition module M1 is used to acquire the detection signal of the sample to be detected; the detection signal is one-dimensional linear array data or two-dimensional linear array data.

[0091] The subtraction module M2 is used to subtract the detection signal from the reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detecting a position without defects in the sample to be detected.

[0092] The wave packet decomposition module M3 is used to perform wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and delay.

[0093] The reconstructed signal determination module M4 is used to determine the reconstructed signal based on the defect signal wave packet.

[0094] The imaging module M5 is used to image the reconstructed signal to obtain defect imaging of the sample to be detected.

[0095] In an exemplary embodiment, Fig.10 As shown, the electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization includes: a sensor, an electromagnetic ultrasonic excitation module, a signal amplification module, a signal preprocessing module, a signal acquisition module, a reference signal module, a data storage module, a wave packet decomposition module, a control module and an imaging module. Among them, the sensor is used to collect detection signals, which can be a single sensor or an array sensor, including a linear array or a rectangular array; the electromagnetic ultrasonic excitation module is used to output a specified excitation signal to excite the sensor to generate ultrasonic waves in the sample being detected; the signal amplification module is connected to the sensor and is used to amplify the ultrasonic detection echo signal in the sample; the signal preprocessing module is used to filter, reduce noise and other processing on the detection echo signal; the signal acquisition module is used to digitally collect the detection signal; the reference signal module is used to obtain the detection signal of the sensor at the defect-free part of the sample being detected; the data storage module is used to store the matrix data of the detection signal; the wave packet decomposition module uses the detection signal as a reference to establish a reference signal of the same length as the detection signal, and gradually adjusts the time delay of the signal waveform in the reference signal to generate a series of reference signals, and uses this to perform wave packet decomposition on the detection signal; the imaging module integrates imaging algorithms such as B-scan, C-scan, SAFT, phased array and so on based on wave packet decomposition to realize detection imaging and defect analysis; the control module controls the imaging detection system to work collaboratively.

[0096] 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: Fig.11As 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 method for enhancing electromagnetic ultrasonic imaging based on wave packet decomposition optimization is implemented.

[0097] Those skilled in the art will understand that Fig.11 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.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] 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).

[0103] 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.

[0104] 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.

[0105] 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. An electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization, characterized in that: The electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization includes: Acquire a detection signal of a sample to be detected; the detection signal is one-dimensional linear array data or two-dimensional linear array data; Subtract the detection signal from the reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detecting a position where there is no defect in the sample to be detected; Performing wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and time delay; Determining a reconstructed signal based on the defect signal wave packet; Imaging the reconstructed signal to obtain defect imaging of the sample to be inspected; Performing wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet specifically includes: Preprocessing the defect information matrix data to obtain preprocessed data; the preprocessing includes: filtering and denoising; Using the excitation signal waveform output to the sensor as a template, a reference signal having the same length as the preprocessed data is established; the reference signal is the excitation signal waveform; Based on the zero-mean normalized cross-correlation criterion, the reference signal is correlated with the preprocessed data to determine the amplitude and delay of the defect signal wave packet; The expression of the defect signal wave packet is: ； in, is the defect signal wave packet, is the amplitude of the defect signal wave packet, is the time delay of the defect signal wave packet, is the time corresponding to the signal sampling point, is the pulse width coefficient of the Gaussian function, is the frequency of the exciting cosine wave; The expression of the reference signal is: ； in, is the reference signal, is the time corresponding to the signal sampling point, is the pulse width coefficient of the Gaussian function, is the frequency of the exciting cosine wave.

2. The electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization according to claim 1 is characterized in that: Imaging the reconstructed signal to obtain defect imaging of the sample to be detected specifically includes: The reconstructed signal is interpolated using a bicubic B-spline signal interpolation method to obtain a defect imaging of the sample to be detected.

3. The electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization according to claim 1, characterized in that: The expression of the zero-mean normalized cross-correlation criterion is: ； in, For each delay ZNJC Correlation coefficient, is the total number of signal sampling points, For the signal sampling points, is the mean value of the excitation signal, is the mean value of the detection signal, For the The value of the excitation signal, For the The value of a detection signal.

4. An electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization, the electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization is used to implement the electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization according to any one of claims 1 to 3, characterized in that: The electromagnetic ultrasonic imaging enhancement device based on wave packet decomposition optimization comprises: A detection signal acquisition module is used to acquire a detection signal of a sample to be detected; the detection signal is one-dimensional linear array data or two-dimensional linear array data; A subtraction module is used to subtract the detection signal from a reference signal to obtain defect information matrix data; the reference signal is a signal obtained by detecting a position where there is no defect in the sample to be detected; A wave packet decomposition module is used to perform wave packet decomposition on the defect information matrix data to obtain a defect signal wave packet; the defect signal wave packet includes: amplitude and delay; A reconstructed signal determination module, used to determine a reconstructed signal based on the defect signal wave packet; The imaging module is used to image the reconstructed signal to obtain defect imaging of the sample to be detected.

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 electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization 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 electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization 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 electromagnetic ultrasonic imaging enhancement method based on wave packet decomposition optimization described in any one of claims 1 to 3 is implemented.

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