Composite material ultrasonic scanning imaging method and system based on correlation analysis
By replacing the time-domain processing of traditional ultrasonic scanning imaging with signal autocorrelation analysis, the problems of signal peak tracking and gate setting in composite material testing are solved, realizing high-quality automated and intelligent ultrasonic testing and enhancing the ability to identify defects in composite materials.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-03
AI Technical Summary
Traditional ultrasonic scanning imaging technology suffers from signal peak tracking and complex gate settings in composite material testing, resulting in poor imaging quality. Furthermore, it relies on human experience and is difficult to automate and make intelligent implementation difficult.
Signal autocorrelation analysis is used to replace time-domain signal processing. By collecting a small amount of reference signal in a defect-free area, an autocorrelation function is established, noise reduction is iteratively optimized, and ultrasonic scanning images are drawn, thus avoiding signal time-domain offset and complex gate settings.
It significantly improves imaging quality, reduces reliance on human experience, enables automated and intelligent ultrasonic testing, and enhances the ability to detect near-surface defects.
Smart Images
Figure CN122330286A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of ultrasonic scanning imaging technology, and particularly relates to a method and system for ultrasonic scanning imaging of composite materials based on correlation analysis. Background Technology
[0002] Composite materials are widely used in aerospace, rail transportation, wind power generation, and automobile manufacturing due to their excellent properties. However, the manufacturing process of composite workpieces is complex, and defects or damage exceeding design limits can easily occur during manufacturing and production. Therefore, non-destructive testing (NDT) of composite workpieces is necessary to ensure their safe use. Currently, commonly used ultrasonic scanning testing technology acquires corresponding ultrasonic A-scan signals at each spatial sampling point within the testing plane. The performance of ultrasonic scanning testing largely depends on the gate parameter settings; its positioning accuracy and tracking capability directly affect the accuracy of defect identification and the final image quality.
[0003] However, traditional methods suffer from signal peak tracking and complex gate setting issues, resulting in insufficient noise reduction capabilities for ultrasound images. Specifically, conventional ultrasound scanning imaging uses time-domain signal processing, which causes signal time-domain shift due to changes in coupling distance. Setting the detection gate requires reliance on experience or the acquisition of a large number of reference signals, leading to poor imaging results. Summary of the Invention
[0004] To address the aforementioned problems, this invention proposes a composite material ultrasonic scanning imaging method and system based on correlation analysis. This invention replaces time-domain signal processing in the ultrasonic scanning imaging process with signal autocorrelation analysis, avoiding the signal time-domain offset problem caused by changes in coupling distance. Only a small amount of reference signal needs to be collected in the defect-free area to establish a detection benchmark, eliminating the need for manual setting of the detection gate. This significantly reduces reliance on experience, solves the problems of complex gate settings and insufficient noise reduction capabilities, and ensures imaging quality.
[0005] To achieve the above objectives, the present invention is implemented through the following technical solution: In a first aspect, the present invention provides an ultrasonic scanning imaging method for composite materials based on correlation analysis, comprising: Acquire ultrasonic scanning signals from all areas of the test specimen; A set of ultrasonic scanning signals from a defect-free area in the test piece is selected as a reference, and the autocorrelation function of the reference is determined. Based on the baseline autocorrelation function, the standard autocorrelation function of the ultrasonic scanning signal is obtained through multiple iterations of optimization and denoising. Based on the standard autocorrelation function, determine the difference between the autocorrelation function of each ultrasonic scanning signal under test and the standard autocorrelation function; Ultrasound scan images are plotted based on the difference between the autocorrelation function and the standard autocorrelation function.
[0006] Furthermore, the relevant function is: ; in, For the first k The autocorrelation function of an ultrasound scan signal; and The first k ultrasound scan signal At the point of time and interval The amplitude at that point; Ultrasound scanning signal The average amplitude.
[0007] Furthermore, the determination of the standard autocorrelation function includes: Determine the standard reference autocorrelation function for initialization; The Euclidean distance between the autocorrelation function of the ultrasonic scanning signal in the defect-free region and each reference autocorrelation function in the reference autocorrelation function group is determined sequentially. Determine the minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function group; Based on the autocorrelation function corresponding to the largest Euclidean distance value among the minimum Euclidean distances, and the preset weights, a new standard reference autocorrelation function is determined. When the number of iterations reaches its maximum value, the final set of standard reference autocorrelation functions is determined.
[0008] Furthermore, the standard reference autocorrelation function for: ; Among them, among them, The autocorrelation function is calculated from the ultrasonic scanning signals of five defect-free regions.
[0009] Furthermore, the autocorrelation function and reference autocorrelation function set of the ultrasonic scanning signal in the defect-free region are determined sequentially. Euclidean distance for each reference autocorrelation function in the equation: ; Minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function set. for: ; Maximum Euclidean distance for: ; The new standard references the autocorrelation function. for: ; in, For the first i Autocorrelation function of ultrasound scan signal in a defect-free region With the j One reference autocorrelation function The Euclidean distance; for Time delay The amplitude at that point, for Time delay The amplitude at that point; Weights are incorporated into the new reference autocorrelation function; This is the standard reference autocorrelation function for initialization.
[0010] Furthermore, determining the difference between the autocorrelation function of each ultrasound A-scan signal to be tested and the standard autocorrelation function includes: sequentially determining the Euclidean distance between the autocorrelation function of all ultrasound scan signals in the test area and each reference autocorrelation function in the reference autocorrelation function group; Determine the minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function group; The minimum Euclidean distance at each detection point is determined, and the difference between the autocorrelation function of all the ultrasonic scanning signals to be tested and the standard autocorrelation function is obtained.
[0011] Furthermore, the autocorrelation function and reference autocorrelation function set of the ultrasound scanning signals of all areas to be detected are determined sequentially. Euclidean distance for each reference autocorrelation function in the equation: ; Determine the minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function set. : ; in, For the first i Autocorrelation function of ultrasound scan signal in the region to be detected With the j-th reference autocorrelation function Euclidean distance, Autocorrelation function Time delay The amplitude at that point, for Time delay The amplitude at that point; For each detection point iAll of them obtained a , This refers to the difference between the autocorrelation function of all tested ultrasound A-scan signals and the standard autocorrelation function.
[0012] Secondly, the present invention also provides a composite material ultrasonic scanning imaging system based on correlation analysis, comprising: The data acquisition module is configured to acquire ultrasonic scanning signals from all areas of the test piece. The autocorrelation function determination module is configured to: select a set of ultrasonic scanning signals from a defect-free area in the test piece as a reference, and determine the autocorrelation function of the reference; The standard autocorrelation function determination module is configured to: obtain the standard autocorrelation function of the ultrasound A-scan signal by iteratively optimizing and denoising based on the benchmark autocorrelation function; The difference solving module is configured to: determine the difference between the autocorrelation function of each ultrasound A-scan signal and the standard autocorrelation function based on the standard autocorrelation function; The imaging module is configured to generate ultrasound scan images based on the difference between the autocorrelation function and the standard autocorrelation function.
[0013] Thirdly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the composite material ultrasonic scanning imaging method based on correlation analysis described in the first aspect.
[0014] Fourthly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to implement the steps of the composite material ultrasonic scanning imaging method based on correlation analysis described in the first aspect.
[0015] Fifthly, the present invention also provides a computer program product, the computer program product comprising a computer program, which, when executed by a processor, implements the steps of the composite material ultrasonic scanning imaging method based on correlation analysis described in the first aspect.
[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention first selects a set of ultrasonic scanning signals from a defect-free area of the test piece as a benchmark and determines the autocorrelation function of the benchmark. Then, based on the benchmark's autocorrelation function, a standard autocorrelation function of the ultrasonic A-scan signal is obtained through multiple iterations of optimization and denoising. Based on the standard autocorrelation function, the difference between the autocorrelation function of each ultrasonic A-scan signal under test and the standard autocorrelation function is determined. Finally, an ultrasonic scanning image is plotted based on the difference between the autocorrelation function and the standard autocorrelation function. By using signal autocorrelation analysis to replace time-domain signal processing in the ultrasonic scanning imaging process, this invention avoids the signal time-domain offset problem caused by changes in coupling distance. Only a small number of reference signals need to be collected in the defect-free area to establish a detection benchmark, eliminating the need for manually setting a detection gate. This significantly reduces reliance on experience, solves the problems of complex gate settings and insufficient denoising capabilities, and ensures imaging quality. Attached Figure Description
[0017] The accompanying drawings, which form part of this embodiment, are used to provide a further understanding of this embodiment. The illustrative embodiments and their descriptions are used to explain this embodiment and do not constitute an improper limitation of this embodiment.
[0018] Figure 1 This is a schematic diagram of the method flow of Embodiment 1 of the present invention; Figure 2 Ultrasonic image filtering and rendering as described in Embodiment 1 of the present invention; Figure 3 The composite material specimen containing artificial defects is from Example 1 of this invention; Figure 4 The results of ultrasound scanning imaging under different iterations of optimization in Embodiment 1 of the present invention are shown. Detailed Implementation
[0019] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0020] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.
[0021] Example 1: Composite materials are widely used in aerospace, rail transportation, wind power generation, and automobile manufacturing due to their excellent properties. However, because the manufacturing process of composite materials is complex, defects or damage exceeding design limits can easily occur during manufacturing and production. Therefore, it is necessary to perform non-destructive testing (NDT) on composite materials to ensure their safe use. Among these methods, ultrasonic scanning NDT is currently the most widely used and effective NDT technique for composite materials.
[0022] Currently, commonly used ultrasonic scanning inspection techniques acquire corresponding ultrasonic A-scan signals at each spatial sampling point within the inspection plane. When generating scan images, the amplitude and time of flight of the reflected wave at a specific location in the A-scan signal are typically mapped into a two-dimensional grayscale or pseudo-color image to achieve visual characterization of defects. However, in actual operation, the position of the detection gate has a significant impact on imaging quality and defect identification. Due to ultrasonic echo aliasing, the gate usually avoids the surface echo region, resulting in a severe deficiency in the ability of ultrasonic images to represent near-surface defects. Even small changes in the distance between the ultrasonic probe and the specimen can cause signal time shift. During the process of the detection gate tracking the initial wave peak, noise interference can generate signal tracking errors, affecting the quality and stability of ultrasonic scanning imaging.
[0023] The performance of ultrasonic scanning inspection largely depends on the setting of gate parameters, and its positioning accuracy and tracking capability directly affect the accuracy of defect identification and the final image quality. However, the currently prevalent method of setting parameters based on human experience not only places high demands on the professional skills of operators but also, to some extent, restricts the development of ultrasonic inspection technology towards automation, intelligence, and standardization. Reducing reliance on human experience has become crucial for improving the overall performance and engineering application adaptability of ultrasonic inspection systems.
[0024] As described in the background section, conventional ultrasonic scanning imaging uses time-domain signal processing. Due to changes in coupling distance, the signal time-domain shift occurs. Setting the detection gate requires experience or the acquisition of a large number of reference signals, resulting in poor imaging performance.
[0025] To address at least one of the aforementioned problems, this embodiment provides a composite material ultrasonic scanning imaging method based on correlation analysis. Optional, such as Figure 1As shown, ultrasonic scanning inspection is performed on the test piece to acquire ultrasonic A-scan signals from all regions. A set of ultrasonic A-scan signals from the defect-free region is selected as a benchmark, and their autocorrelation functions are calculated for each. An initial standard autocorrelation function is selected, and its denoising ability for ultrasonic images is optimized through multiple iterations to obtain the standard autocorrelation function of the ultrasonic A-scan signal. The autocorrelation function of the ultrasonic A-scan signal in the test region is calculated. The difference between the autocorrelation function of each ultrasonic A-scan signal to be tested and the standard autocorrelation function is quantified. The quantized difference is pseudo-color encoded, and a denoised ultrasonic scan image is drawn based on the quantized difference. By analyzing the autocorrelation characteristics of the ultrasonic A-scan signal, the signal peak tracking and complex gate setting problems in traditional methods are effectively avoided. The standard autocorrelation function of the defect-free ultrasonic A-scan signal is optimized through multiple iterations to enhance its denoising ability for ultrasonic images. The difference between the autocorrelation function of each ultrasonic A-scan signal to be tested and the standard autocorrelation function is quantified, and ultrasonic scanning inspection imaging is realized based on the quantized difference. Figure 2 As shown, the method in this embodiment includes the following steps: S1. Calculation of the autocorrelation function of ultrasound A-scan signal: The ultrasonic echo signals acquired by ultrasonic nondestructive testing equipment are discrete signals. This applies to all ultrasonic A-scan signals obtained from ultrasonic scanning detection. Acquisition of each ultrasound A-scan signal Then, the discrete-time sequence of all ultrasound A-scan signals is represented as: Its autocorrelation function The calculation is as follows: ; in, ; For the first k The autocorrelation function of an ultrasound A-scan signal; For the first k A-scan ultrasound signal At the point of time The amplitude at that point; Ultrasound A-scan signal The average amplitude is calculated using the following formula: ; For the selected defect-free area, a total of n ultrasound A-scan signals were acquired. Calculate its autocorrelation function as follows: .
[0026] S2. Initialize the standard reference autocorrelation function set optimization parameters: The new reference autocorrelation function is included in the weighting. The maximum number of iterations is set to 100, and the initial standard reference autocorrelation function is used. The calculation formula is: ; in, The autocorrelation function is calculated from the ultrasound A-scan signals of five defect-free regions.
[0027] S3, Standard Reference Autocorrelation Function Iterative Optimization Algorithm: S3.1 Calculate the autocorrelation function and reference autocorrelation function set of the ultrasound A-scan signal in the defect-free area sequentially. The Euclidean distance to each reference autocorrelation function is calculated using the following formula: ; in, , ; For the first i Autocorrelation function of ultrasound A-scan signal in a defect-free region With the j One reference autocorrelation function The Euclidean distance; for Time delay The amplitude at that point, for Time delay The amplitude at that point.
[0028] For each autocorrelation function Calculate the minimum Euclidean distance between it and each reference autocorrelation function in the reference autocorrelation function set. The calculation formula is: ; S3.2, Calculation to Maximum Euclidean distance And obtain the corresponding autocorrelation function. ,Right now ; S3.3 Calculate the new standard reference autocorrelation function and add it to the standard reference autocorrelation function group. The new standard references the autocorrelation function. The calculation formula is: ; in, Weights are incorporated into the new reference autocorrelation function. The standard reference autocorrelation function for initialization is calculated in step S2.
[0029] Determine if the number of iterations has reached the maximum value of 100. If yes, proceed to the next step; otherwise, return to step S3.1.
[0030] The final optimized standard reference is derived from the set of related functions. .
[0031] S4. Quantitative calculation of the difference between the autocorrelation function of the ultrasound A-scan signal under test and the standard autocorrelation function: Calculate the autocorrelation function and reference autocorrelation function set of ultrasound A-scan signals for all regions to be detected in sequence. The Euclidean distance for each reference autocorrelation function is calculated using the following formula: ; in, , , Let be the autocorrelation function of the ultrasound A-scan signal in the i-th region to be detected. With the j-th reference autocorrelation function Euclidean distance, Autocorrelation function Time delay The amplitude at that point, for Time delay The amplitude at that point.
[0032] For each autocorrelation function Calculate the minimum Euclidean distance between it and each reference autocorrelation function in the reference autocorrelation function set. The calculation formula is: ; Finally, for each detection point i All of them obtained a , This refers to the difference between the autocorrelation function of all tested ultrasound A-scan signals and the standard autocorrelation function.
[0033] S5. Drawing ultrasound scan images based on quantization differences: right Perform pseudo-color encoding processing, and according to each The pseudo-color coding results and their corresponding spatial locations of the detection points are used to draw ultrasonic scanning images.
[0034] This embodiment uses signal autocorrelation analysis to replace the time-domain signal processing in conventional ultrasonic scanning imaging, avoiding the signal time-domain offset problem caused by changes in coupling distance; it eliminates the need for manual setting of the detection gate, significantly reducing reliance on operator experience, and only requires collecting a small amount of reference signal in the defect-free area to establish a detection benchmark; it performs stably in near-surface defect detection and can easily handle the problem of ultrasonic echo aliasing; by iteratively optimizing the standard autocorrelation function of the defect-free ultrasonic A-scan signal, it enhances the denoising capability of the ultrasonic image, achieving background denoising of the ultrasonic image while fully preserving the key morphological features of the defect.
[0035] Optional, such as Figure 3 As shown, the specimen was prepared using T300 grade carbon fiber woven prepreg as raw material and a standard layer-by-layer process in an autoclave. To construct layered defects with defined depth characteristics, three sets of artificial defects were implanted between specific layer interfaces: circular graphite sheets, each 12.7 mm in diameter and 0.25 mm thick, were used as defect simulants and precisely placed at the predetermined interfaces between layers 3-4, 6-7, and 9-10, respectively. The specimen was ultimately formed into a 12-layer structure with a total thickness of 2 mm. Ultrasonic scanning was performed using a water immersion ultrasonic scanning method with an ultrasonic probe center frequency of 5 MHz.
[0036] Ultrasound scan images were plotted for no iterative optimization, and for optimizations of 3, 10, 30, 70, and 100 iterations, respectively. Figure 4 As shown, the proposed method can not only effectively identify and suppress structural noise caused by the inherent properties of materials, but also completely preserve the key morphological features of defects during the noise reduction process.
[0037] In this embodiment, when drawing ultrasound scan images, the Euclidean distance after autocorrelation of the ultrasound A-scan signal is used as the quantitative difference index of the ultrasound A-scan signal, and the ultrasound scan image is drawn based on this quantitative difference. The reference standard autocorrelation function, which serves as the benchmark for defect-free signals, is iteratively optimized to achieve noise removal of the ultrasound scan image while preserving the defect details of the ultrasound scan image.
[0038] Example 2: This embodiment provides a composite material ultrasonic scanning imaging method based on correlation analysis, including: Acquire ultrasonic A-scan signals from all areas of the test specimen; A set of ultrasonic A-scan signals from a defect-free area in the test piece is selected as a reference, and the autocorrelation function of the reference is determined. Based on the baseline autocorrelation function, the standard autocorrelation function of the ultrasound A-scan signal is obtained through multiple iterations of optimization and denoising. Based on the standard autocorrelation function, determine the difference between the autocorrelation function and the standard autocorrelation function for each ultrasound A-scan signal to be measured; Ultrasound scan images are plotted based on the difference between the autocorrelation function and the standard autocorrelation function.
[0039] The working method of the system is the same as that of the composite material ultrasonic scanning imaging method based on correlation analysis in Example 1, and will not be repeated here.
[0040] Example 3: This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the composite material ultrasonic scanning imaging method based on correlation analysis described in Embodiment 1.
[0041] Example 4: This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the program, it implements the steps of the composite material ultrasonic scanning imaging method based on correlation analysis described in Embodiment 1.
[0042] Example 5: This embodiment provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the composite material ultrasonic scanning imaging method based on correlation analysis described in Embodiment 1.
[0043] The above description is merely a preferred embodiment of this practice and is not intended to limit the scope of this practice. Various modifications and variations can be made to this practice by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this practice should be included within the protection scope of this practice.
Claims
1. A composite material ultrasonic scanning imaging method based on correlation analysis, characterized in that, include: Acquire ultrasonic scanning signals from all areas of the test specimen; A set of ultrasonic scanning signals from a defect-free area in the test piece is selected as a reference, and the autocorrelation function of the reference is determined. Based on the baseline autocorrelation function, the standard autocorrelation function of the ultrasonic scanning signal is obtained through multiple iterations of optimization and denoising. Based on the standard autocorrelation function, determine the difference between the autocorrelation function of each ultrasonic scanning signal under test and the standard autocorrelation function; Ultrasound scan images are plotted based on the difference between the autocorrelation function and the standard autocorrelation function.
2. The composite material ultrasonic scanning imaging method based on correlation analysis as described in claim 1, characterized in that, The relevant function is: ； in, For the first k The autocorrelation function of an ultrasound scan signal; and The first k ultrasound scan signal At the point of time and interval The amplitude at that point; Ultrasound scanning signal The average amplitude.
3. The ultrasonic scanning imaging method for composite materials based on correlation analysis as described in claim 1, characterized in that, The determination of the standard autocorrelation function includes: Determine the standard reference autocorrelation function for initialization; The Euclidean distance between the autocorrelation function of the ultrasonic scanning signal in the defect-free region and each reference autocorrelation function in the reference autocorrelation function group is determined sequentially. Determine the minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function group; Based on the autocorrelation function corresponding to the largest Euclidean distance value among the minimum Euclidean distances, and the preset weights, a new standard reference autocorrelation function is determined. When the number of iterations reaches its maximum value, the final set of standard reference autocorrelation functions is determined.
4. The ultrasonic scanning imaging method for composite materials based on correlation analysis as described in claim 3, characterized in that, The standard reference autocorrelation function for: ； Among them, among them, The autocorrelation function is calculated from the ultrasonic scanning signals of five defect-free regions.
5. The ultrasonic scanning imaging method for composite materials based on correlation analysis as described in claim 4, characterized in that, The autocorrelation function and reference autocorrelation function set of the ultrasonic scanning signal in the defect-free region are determined sequentially. Euclidean distance for each reference autocorrelation function in the equation: ； Minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function set. for: ； Maximum Euclidean distance for: ； The new standard references the autocorrelation function. for: ； in, For the first i Autocorrelation function of ultrasound scan signal in a defect-free region With the j One reference autocorrelation function The Euclidean distance; for Time delay The amplitude at that point, for Time delay The amplitude at that point; Weights are incorporated into the new reference autocorrelation function; This is the standard reference autocorrelation function for initialization.
6. The ultrasonic scanning imaging method for composite materials based on correlation analysis as described in claim 1, characterized in that, The determination of the difference between the autocorrelation function of each ultrasound A-scan signal to be tested and the standard autocorrelation function includes: sequentially determining the Euclidean distance between the autocorrelation function of the ultrasound scan signal of all regions to be tested and each reference autocorrelation function in the reference autocorrelation function group; Determine the minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function group; The minimum Euclidean distance at each detection point is determined, and the difference between the autocorrelation function of all the ultrasound A-scan signals to be tested and the standard autocorrelation function is obtained.
7. The ultrasonic scanning imaging method for composite materials based on correlation analysis as described in claim 6, characterized in that, The autocorrelation function and reference autocorrelation function set of the ultrasound scanning signals of all areas to be detected are determined sequentially. Euclidean distance for each reference autocorrelation function in the equation: ； Determine the minimum Euclidean distance between each autocorrelation function and each reference autocorrelation function in the reference autocorrelation function set. : ； in, For the first i Autocorrelation function of ultrasound scan signal in the region to be detected With the j-th reference autocorrelation function Euclidean distance, Autocorrelation function Time delay The amplitude at that point, for Time delay The amplitude at that point; For each detection point i All of them obtained a , This refers to the difference between the autocorrelation function of all tested ultrasound A-scan signals and the standard autocorrelation function.
8. A composite material ultrasonic scanning imaging system based on correlation analysis, characterized in that, include: The data acquisition module is configured to acquire ultrasonic scanning signals from all areas of the test piece. The autocorrelation function determination module is configured to: select a set of ultrasonic scanning signals from a defect-free area in the test piece as a reference, and determine the autocorrelation function of the reference; The standard autocorrelation function determination module is configured to: obtain the standard autocorrelation function of the ultrasonic scanning signal by iteratively optimizing and denoising based on the benchmark autocorrelation function; The difference solving module is configured to: determine the difference between the autocorrelation function of each ultrasonic scanning signal under test and the standard autocorrelation function based on the standard autocorrelation function; The imaging module is configured to generate ultrasound scan images based on the difference between the autocorrelation function and the standard autocorrelation function.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor executes the program, it implements the steps of the composite material ultrasonic scanning imaging method based on correlation analysis as described in any one of claims 1-7.
10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the composite material ultrasonic scanning imaging method based on correlation analysis as described in any one of claims 1-7.