A sensitivity measurement and calibration compensation method based on a multi-modal full-focusing acoustic response cloud chart

Abstract

This invention discloses a sensitivity measurement and calibration compensation method based on multimodal full-focus acoustic response cloud maps. It constructs a coordinate system model for multimodal full-focus weld detection using an opposing array, calculates and normalizes the acoustic response map of each single mode using acoustic response cloud map simulation, and calculates and records the compensation factor for each mode, achieving the same acoustic response amplitude for each single-mode detection of equivalent defects. Subsequently, within the imaging area, the normalized acoustic response maps of each single mode are theoretically fused to achieve measurement of the sound field distribution of the multimodal full-focus acoustic response cloud map. Then, by calculating the coefficient compensation matrix corresponding to the multimodal full-focus acoustic response cloud map, calibration of the multimodal full-focus acoustic response cloud map is achieved. Finally, the theoretically calculated coefficient compensation matrix is ​​applied to the multimodal full-focus imaging fused after actual detection to perform sensitivity compensation on the multimodal full-focus imaging detection results.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of ultrasonic nondestructive testing, in particular to a sensitivity measurement and calibration compensation method based on a multi-modal full-focusing acoustic response cloud chart. BACKGROUND

[0002] The multi-modal full-focusing weld detection technology is a cutting-edge innovative detection technology scheme in the current domestic and foreign weld ultrasonic nondestructive testing field. Its advantage is the use of the full-matrix data acquisition method of the opposing array and the multi-modal full-focusing combination method, which can effectively reconstruct and image the real morphology of the weld contour structure and the internal buried defects, maximize the defect detection rate, reduce the difficulty of defect qualitative identification, and present the tip diffraction signal of the internal buried defect in the weld based on modal decomposition, so as to realize the accurate quantitative measurement of the defect size based on the diffraction signal measurement. For example, the applicant's prior application, the publication date of which is April 9, 2024, and the publication number of which is CN117849184A, discloses a kind of opposing array multi-modal full-focusing weld detection method. This method can effectively reconstruct the weld contour structure and internal buried defects of various forms, and realize accurate quantitative measurement of defect size. However, in some cases, when the opposing array full-matrix data acquisition radiation acoustic field does not cover the imaging detection area sufficiently and uniformly, and the defect is located in the weak sensitivity area of the opposing array multi-modal full-focusing acoustic response cloud chart, the reconstructed diffraction signal sensitivity is very low, and even it is overwhelmed by system noise, so it is difficult to effectively obtain the diffraction signal. At this time, the quantitative measurement of the defect can only follow the traditional wave amplitude-6dB method as a supplementary means, which requires sensitivity calibration and compensation of the multi-modal full-focusing imaging detection result to ensure the accuracy of the-6dB method defect quantitative measurement result. However, since the opposing array multi-modal full-focusing imaging involves multiple acoustic wave propagation paths such as pulse echo mode, self-serial mode, and cross mode, traditional phased array TCG, ACG, and full-focusing phased array three-dimensional ultrasonic field measurement sensitivity calibration and compensation methods are not applicable. Therefore, a new method for measuring and calibrating sensitivity based on the opposing array multi-modal full-focusing acoustic response cloud chart is designed. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a sensitivity measurement and calibration compensation method based on a multi-modal full-focusing acoustic response cloud chart. This method can quickly compensate and calibrate the sensitivity of the real-time fusion imaging of the instrument by using theoretical simulation calculation results through acoustic response cloud chart simulation.

[0004] In order to solve the above technical problems, the technical scheme adopted is as follows:

[0005] A sensitivity measurement and calibration compensation method based on a multi-modal full-focusing acoustic response cloud chart, characterized by comprising the following steps:

[0006] (1) Establish a coordinate system model for multimodal full-focus weld inspection consisting of a probe, wedge, workpiece and imaging area;

[0007] (2) Obtain the acoustic response maps of each single mode, and based on the coordinate system model of the opposing array multimodal full-focus weld detection, obtain the theoretical acoustic response maps A of each single mode within the imaging area. i The acoustic response intensity A at any point in each single-mode acoustic response diagram i (w,h), acoustic response intensity A i The loudest acoustic response intensity in (w,h) is denoted as AM. i , where i=1,2,3,…i, w=1,2,3,…w, h=1,2,3,…h;

[0008] (3) Take the maximum value of the maximum acoustic response intensity in each single-mode acoustic response diagram and denote it as AM0. Normalize each single-mode acoustic response diagram so that the maximum acoustic response intensity in each single-mode acoustic response diagram reaches the same maximum amplitude value, and calculate and record the compensation multiple B for each mode. i Let i = 1, 2, 3, ... i, and the calculation method is as follows: B i =AM0 / AM i ;

[0009] (4) Acoustic response diagrams A for each single mode i After normalization, the acoustic response diagrams of each single mode after normalization are denoted as A′. i The calculation method is as follows: A′ i =A i ×B i ;

[0010] (5) Perform field measurement: Perform image fusion processing on the normalized single-mode acoustic response maps. The fusion result is defined as a multimodal fully focused acoustic field cloud map, denoted as A′0. The calculation method is as follows: ;

[0011] (6) Perform field calibration and calculate the coefficient compensation matrix C corresponding to the multimodal full-focusing sound field cloud map. The calculation method is as follows: C(w,h)=AM0 / A′0(w,h);

[0012] (7) Perform field compensation. The actual fused multimodal full-focus imaging detection result is denoted as T(w,h). The multimodal full-focus imaging detection result after sensitivity compensation using the calculated coefficient compensation matrix C is denoted as T′(w,h). The calculation method is as follows: T′(w,h)=T(w,h)×C.

[0013] In the sensitivity measurement and calibration compensation method based on the multi-modal full-focus acoustic response cloud chart, a probe, a wedge, a workpiece and an imaging area model are established, each single-modal acoustic response chart is calculated and normalized by acoustic response cloud chart simulation, and a compensation multiple of each modal is calculated and recorded, so that each single-modal detection achieves the same acoustic response amplitude of the same equivalent defect; then, in the imaging area, each single-modal acoustic response chart after normalization is theoretically fused to realize multi-modal full-focus acoustic response cloud chart sound field distribution measurement; then, a coefficient compensation matrix corresponding to the multi-modal full-focus acoustic response cloud chart is calculated to realize multi-modal full-focus acoustic response cloud chart calibration; finally, the coefficient compensation matrix calculated by the above theoretical calculation is applied to the multi-modal full-focus imaging formed by the actual detection fusion, and the sensitivity of the multi-modal full-focus imaging detection result is compensated, so as to realize the purpose of effectively compensating the weak sensitivity area of the multi-modal full-focus acoustic response cloud chart. The sensitivity measurement and calibration compensation method based on the multi-modal full-focus acoustic response cloud chart realizes the rapid compensation and sensitivity calibration of the real-time fusion imaging result of the instrument by the coefficient compensation matrix calculated by the acoustic response cloud chart simulation method, without using artificial defect test blocks for a large number of and time-consuming calibration operations.

[0014] In the preferred scheme, the number of single-modal acoustic response charts in step (2) is ten, including single-modal acoustic response charts formed by left probe pulse reflection type 2T, 4T, tandem type 3T, 5T, right probe pulse reflection type 2T, 4T, tandem type 3T, 5T, double probe cross mode 2T, 4T. i , the acoustic response intensity of any point in each single-modal acoustic response chart A i (w,h) and wherein the maximum acoustic response intensity AM i , i=1,2,3,…10.

[0015] In the further preferred scheme, the calculation method of the maximum value AM0 of the maximum acoustic response intensity in each single-modal acoustic response chart in step (3) is as follows: AM0=MAX(AM1,AM2,AM3,…AM 10 ). That is, AM0 is the maximum value in the ten maximum values AM1 to AM 10 .

[0016] In the preferred scheme, step (3) further includes converting the multiple of each modal compensation into a digital gain AD i , i=1,2,3,…i, and the calculation method is as follows: AD i =20log 10 (B i ). The recorded AD iThe gain setting of each modality can be used to guide the multi-modal full focus imaging detection. In the actual ultrasonic detector instrument operation, only the gain AD i This adjustable parameter, without the multiplier B i This parameter, therefore, will be applied in the system internal theoretical simulation algorithm angle multiplier B i Convert into the gain AD i from the ultrasonic detector instrument directly through the setting AD i Set B i .

[0017] The beneficial effects of the present application are that: this sensitivity measurement and calibration compensation method based on multi-modal full focus acoustic response cloud chart, by establishing the probe, wedge, workpiece and imaging area model, using acoustic response cloud chart simulation method to calculate each single modality acoustic response graph, and then through the amplification method to normalize each single modality acoustic response graph, thereby amplifying the weak sensitivity area of each single modality detection; After each single modality acoustic response graph after normalization is theoretically fused, the corresponding coefficient compensation matrix of the multi-modal full focus acoustic response cloud chart is calculated, and the coefficient compensation matrix is applied to the multi-modal full focus imaging formed by the actual detection and fusion, and the sensitivity of the multi-modal full focus imaging detection result is compensated, so as to realize the purpose of effectively compensating the weak sensitivity area of the multi-modal full focus acoustic response cloud chart, without using artificial defect test block and performing a large number of and time-consuming calibration operations. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 It is a schematic diagram of the coordinate system model of the opposed array multi-modal full focus weld detection in the embodiment of the present application;

[0019] Figure 2 It is the acoustic beam route and the acoustic response graph in the corresponding imaging area under the left probe pulse reflection type 2T modality in the embodiment of the present application;

[0020] Figure 3 It is the acoustic beam route and the acoustic response graph in the corresponding imaging area under the left probe pulse reflection type 2T modality in the embodiment of the present application;

[0021] Figure 4 It is the acoustic beam route and the acoustic response graph in the corresponding imaging area under the left probe pulse reflection type 2T modality in the embodiment of the present application;

[0022] Figure 5 It is the acoustic beam route and the acoustic response graph in the corresponding imaging area under the left probe pulse reflection type 2T modality in the embodiment of the present application;

[0023] Figure 6Figure 1 is a schematic diagram of the sound beam route and acoustic response in the imaging area in the right probe pulse reflection 2T mode in an embodiment of the present application;

[0024] Figure 7 Figure 2 is a schematic diagram of the sound beam route and acoustic response in the imaging area in the right probe tandem 3T mode in an embodiment of the present application;

[0025] Figure 8 Figure 3 is a schematic diagram of the sound beam route and acoustic response in the imaging area in the right probe pulse reflection 4T mode in an embodiment of the present application;

[0026] Figure 9 Figure 4 is a schematic diagram of the sound beam route and acoustic response in the imaging area in the right probe tandem 5T mode in an embodiment of the present application;

[0027] Figure 10 Figure 5 is a schematic diagram of the sound beam route and acoustic response in the imaging area in the double-probe cross mode 2T mode in an embodiment of the present application;

[0028] Figure 11 Figure 6 is a schematic diagram of the sound beam route and acoustic response in the imaging area in the double-probe cross mode 4T mode in an embodiment of the present application;

[0029] Figure 12 Figure 7 is a multi-modal full-focus sound field cloud map after image fusion of the normalized individual single-modal acoustic response maps in an embodiment of the present application;

[0030] Figure 13 Figure 8 is a multi-modal full-focus sound field cloud map corresponding coefficient compensation matrix in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The present application will be further described below in conjunction with the drawings and specific embodiments:

[0032] A sensitivity measurement and calibration compensation method based on a multi-modal full-focus acoustic response cloud map, comprising the following steps:

[0033] (1) As shown in Figure 1, a coordinate system model of a multi-modal full-focus weld detection array is established, which is composed of a probe 1, a wedge 2, a workpiece 3, and an imaging area 4; Figure 1

[0034] (2) Obtain each single-modal acoustic response map, and based on the multi-modal full-focus weld detection array coordinate system model, derive ten single-modal acoustic response maps A Figures 2-11 in the imaging area as shown in Figure 2, and the acoustic response intensity A i of any point in each single-modal acoustic response map A i (w, h), and the acoustic response intensity A i ​AM0 is recorded as AM i , w = 1, 2, 3, … w, h = 1, 2, 3, … h;

[0035] (3) The maximum value of the maximum acoustic response intensity in each single-mode acoustic response graph is taken out, recorded as AM0, and AM0 = MAX(AM1, AM2, AM3, … AM 10 ), each single-mode acoustic response graph is normalized so that the maximum acoustic response intensity in each single-mode acoustic response graph reaches the same maximum amplitude, and the compensation multiple B i of each mode is calculated and recorded, i = 1, 2, 3, … 10, the calculation method is as follows: B i = AM0 / AM i ;

[0036] (4) Each single-mode acoustic response graph A i is normalized, and the normalized each single-mode acoustic response graph is recorded as A′ i , the calculation method is as follows: A′ i = A i × B i ;

[0037] (5) Field measurement: each single-mode acoustic response graph after normalization is subjected to image fusion processing, as shown in Figure 12 , the fusion result is defined as a multi-modal full-focus sound field cloud map, recorded as A′0, and the calculation method is as follows: ;

[0038] (6) Field calibration is performed as shown in Figure 13 , and the multi-modal full-focus sound field cloud map corresponding coefficient compensation matrix C is calculated, and the calculation method is as follows: C(w, h) = AM0 / A′0(w, h);

[0039] (7) Field compensation: the actual multi-modal full-focus imaging detection result fused is recorded as T(w, h), and the multi-modal full-focus imaging detection result after sensitivity compensation using the calculated coefficient compensation matrix C is recorded as T′(w, h), and the calculation method is as follows: T′(w, h) = T(w, h) × C.

[0040] In the sensitivity measurement and calibration compensation method based on the multi-modal full-focus acoustic response cloud chart, the probe 1, the wedge 2, the workpiece 3 and the imaging area 4 model are established, each single-modal acoustic response chart is calculated and normalized by acoustic response cloud chart simulation, and the compensation multiples of each modal are calculated and recorded, so that each single-modal detection achieves the same acoustic response amplitude of the same equivalent defect; then, in the imaging area, each single-modal acoustic response chart after normalization is subjected to theoretical fusion processing, and multi-modal full-focus acoustic response cloud chart sound field distribution measurement is achieved; then, by calculating the coefficient compensation matrix corresponding to the multi-modal full-focus acoustic response cloud chart, multi-modal full-focus acoustic response cloud chart calibration is achieved; finally, the coefficient compensation matrix obtained by the above theoretical calculation is applied to the multi-modal full-focus imaging formed by the actual detection fusion, and the sensitivity compensation of the multi-modal full-focus imaging detection result is carried out, so that the purpose of effectively compensating the weak sensitivity area of the multi-modal full-focus acoustic response cloud chart is achieved. The sensitivity measurement and calibration compensation method based on the multi-modal full-focus acoustic response cloud chart realizes the rapid compensation and sensitivity calibration of the real-time fusion imaging result of the instrument by the coefficient compensation matrix obtained by theoretical simulation calculation through the acoustic response cloud chart simulation method, without using artificial defect test blocks for a large number of and time-consuming calibration operations.

[0041] The ten single-modal acoustic response charts in step (2) include single-modal acoustic response charts formed by left probe pulse reflection type 2T, 4T, tandem type 3T, 5T, right probe pulse reflection type 2T, 4T, tandem type 3T, 5T, double probe cross mode 2T, 4T.

[0042] In step (3), the multiples of each modal compensation are also converted into digital gain AD i , i = 1, 2, 3, … 10, and the calculation method is as follows: AD i = 20log 10 (B i ). The recorded AD i can be used to guide the gain setting of each modal in multi-modal full-focus imaging detection. In the actual operation of the ultrasonic detection instrument, there is only the adjustable parameter AD i on the instrument, and there is no parameter B i , therefore, the multiples B i applied in the theoretical simulation algorithm of the system are converted into the gain AD i from the engineering application angle of the instrument, and AD i can be directly set on the ultrasonic detection instrument to set B i .

Claims

1. A sensitivity measurement and calibration compensation method based on multimodal full-focusing acoustic response contour maps, characterized in that... Includes the following steps: (1) Establish a coordinate system model for multimodal full-focus weld inspection consisting of a probe, wedge, workpiece and imaging area; (2) Obtain the acoustic response maps of each single mode, and based on the coordinate system model of the opposing array multimodal full-focus weld detection, obtain the theoretical acoustic response maps A of each single mode within the imaging area. i And the acoustic response intensity A at any point in each single-mode acoustic response diagram. i (w,h), acoustic response intensity A i The loudest acoustic response intensity in (w,h) is denoted as AM. i , where i=1,2,3,…i, w=1,2,3,…w, h=1,2,3,…h; (3) Take the maximum value of the maximum acoustic response intensity in each single-mode acoustic response diagram and denote it as AM0. Normalize each single-mode acoustic response diagram so that the maximum acoustic response intensity in each single-mode acoustic response diagram reaches the same maximum amplitude value, and calculate and record the compensation multiple B for each mode. i Let i = 1, 2, 3, ... i, and the calculation method is as follows: B i =AM0 / AM i ; (4) Acoustic response diagrams A for each single mode i After normalization, the acoustic response diagrams of each single mode after normalization are denoted as A′. i The calculation method is as follows: A′ i =A i ×B i ; (5) Perform field measurement: Perform image fusion processing on the normalized single-mode acoustic response maps. The fusion result is defined as a multimodal fully focused acoustic field cloud map, denoted as A′0. The calculation method is as follows: ; (6) Perform field calibration and calculate the coefficient compensation matrix C corresponding to the multimodal full-focusing sound field cloud map. The calculation method is as follows: C(w,h)=AM0 / A′0(w,h); (7) Perform field compensation. The actual fused multimodal full-focus imaging detection result is denoted as T(w,h). The multimodal full-focus imaging detection result after sensitivity compensation using the calculated coefficient compensation matrix C is denoted as T′(w,h). The calculation method is as follows: T′(w,h)=T(w,h)×C.

2. The sensitivity measurement and calibration compensation method based on multimodal full-focusing acoustic response contour maps as described in claim 1, characterized in that: In step (2), there are ten single-mode acoustic response maps, including single-mode acoustic response maps formed by the following ten modes: left probe pulse-reflection mode 2T, 4T, tandem mode 3T, 5T; right probe pulse-reflection mode 2T, 4T, tandem mode 3T, 5T; and dual probe cross mode 2T, 4T. i Acoustic response intensity A at any point in each single-mode acoustic response diagram i (w,h) and its highest acoustic response intensity AM i In, i=1,2,3,…10.

3. The sensitivity measurement and calibration compensation method based on multimodal full-focusing acoustic response contour maps as described in claim 2, characterized in that: The maximum value AM0 in each single-modal acoustic response graph in step (3) is calculated as follows: AM0 = MAX(AM1, AM2, AM3, ... AM 10 ).

4. The sensitivity measurement and calibration compensation method based on multimodal full-focusing acoustic response contour maps as described in claim 1, characterized in that: Step (3) further includes converting the multiples of each modal compensation into digital gains, denoted as AD. i Let i = 1, 2, 3, ... i, and the calculation method is as follows: AD i =20log 10 (B i ).

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