Ultrasonic reflection detection signal reconstruction method for multi-curve variable-thickness composite material blade

Abstract

The invention relates to the technical field of composite material detection, in particular to a multi-curve thickened composite material blade ultrasonic reflection detection signal reconstruction method which comprises the following steps: driving a transducer to perform ultrasonic reflection method scanning on a multi-curve thickened composite material blade according to a set detection point cloud scanning track and detection point cloud density; an ultrasonic signal reconstruction unit is used for recording an ultrasonic reflection signal of each detection position point and a position signal corresponding to the ultrasonic reflection signal, and a plurality of detection point cloud signals are generated; solving a corresponding acoustic stretching coefficient according to the ultrasonic reflection signal of each detection position point to obtain a reconstructed ultrasonic reflection signal point cloud and a reconstructed acoustic stretching coefficient point cloud; and the acoustic stretching coefficient point cloud is utilized to reconstruct ultrasonic reflection method detection signals of the multi-curve thickened composite material blade which is subsequently scanned and detected. According to the method, the rationality and accuracy of ultrasonic signal reconstruction of the multi-curve variable-thickness composite material blade can be improved, the risk of missing detection and misjudgment of defects is reduced, and the reliability of a detection result is improved.

Description

Technical Field

[0001] This application relates to the technical field of composite material detection, and particularly to a method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades. Background Art

[0002] The ultrasonic signal reconstruction method in the existing ultrasonic reflection detection method is based on the principle of integrating and summing the echo signals formed by the incident sound wave in the thickness direction of the detected part to obtain the echo signal of the ultrasonic wave propagation path at the detection point position The main deficiencies are as follows: 1) When the thickness of the detected part changes, it will also change. When there are defects in the sound wave propagation direction, it will also change, which will interfere with the discrimination of defects and easily cause missed detections and misjudgments; 2) For abnormally complex multi-curved and variable-thickness composite material blades, the sound attenuation at each detection position point is also different, which will also cause changes, and further interfere with the changes in caused by differentiating defects, and thus easily cause missed detections and misjudgments. As an improvement, sound attenuation compensation is performed according to the change in the thickness of the detected part to weaken the influence brought by the change in the thickness of the detected part to and suppress the influence of variable thickness changes on the detection and discrimination accuracy of defects. However, its main deficiencies are as follows: 1) For abnormally complex multi-curved and variable-thickness composite material blades, in the actual detection process, it is difficult to accurately obtain the thickness and its changes and the corresponding sound attenuation coefficient in the depth direction at each detection position point through manual setting methods; 2) This compensation is difficult to overcome the influence of multi-curvature and surface states at different position points in the detected part on the ultrasonic signal. As a partial improvement, the thickness of the detected part at the current detection position point is measured in real time, but its significant deficiency is that when there are defects, it will affect the measured thickness result and cause thickness mismeasurement, and thus the correct thickness value cannot be obtained. At the same time, this method is still difficult to overcome the influence of multi-curvature and surface states at different position points in the detected part on the ultrasonic signal, and thus it is difficult to overcome the phenomenon of missed and misjudged defects. Summary of the Invention

[0003] This application provides a method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades to solve the problems in the above background art.

[0004] In a first aspect, this application provides a method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades, including: Driving a transducer to perform ultrasonic reflection scanning on a multi-curved and variable-thickness composite material blade according to a set detection point cloud scanning trajectory and detection point cloud density; The ultrasonic signal reconstruction unit records the ultrasonic reflection signals and their corresponding position signals at each detection position point, generating multiple detection point cloud signals; According to the ultrasonic reflection signals at each detection position point, the corresponding acoustic stretching coefficients are solved to obtain the reconstructed ultrasonic reflection signal point cloud and the acoustic stretching coefficient point cloud; The ultrasonic reflection method detection signals of the multi-curved thick composite material blade subsequently scanned and detected are reconstructed by using the acoustic stretching coefficient point cloud.

[0005] Further, before the driving transducer performs ultrasonic reflection method scanning on the multi-curved thick composite material blade according to the set detection point cloud scanning trajectory and detection point cloud density, it further includes: According to the characteristics and detection requirements of the multi-curved thick composite material blade to be detected, the detection point cloud scanning trajectory is generated by the scanning unit, and the detection point cloud density is set .

[0006] Further, before the ultrasonic signal reconstruction unit records the ultrasonic reflection signals and their corresponding position signals at each detection position point, generating multiple detection point cloud signals, it further includes: Using the position of the ultrasonic signal displayed by the ultrasonic signal display unit, the recording thickness range of the ultrasonic reflection signal is set through the ultrasonic signal reconstruction unit and .

[0007] Further, the ultrasonic signal reconstruction unit records the ultrasonic reflection signals and their corresponding position signals at each detection position point, generating multiple detection point cloud signals, including: The ultrasonic signal reconstruction unit records the ultrasonic reflection signals at each detection position point in real time according to the set detection point cloud density and the set recording thickness range of the ultrasonic reflection signal and , and their corresponding position signals in real time, and generates detection point cloud signals in real time ; ; Until the transducer completes the scanning of the multi-curved thick composite material blade, the ultrasonic signal reconstruction unit generates a total of detection point cloud signals , , which is represented by , …, constituted.

[0008] ​​Further, solving the corresponding acoustic stretching coefficient according to the ultrasonic reflection signals at each detection position point to obtain the reconstructed ultrasonic reflection signal point cloud and acoustic stretching coefficient point cloud includes: When time, , is the minimum ultrasonic signal gain step, is an integer, is peak value of, , is the screen signal display height in the ultrasonic signal display unit; When time, save the acoustic stretching coefficient , according to solve in the reconstructed ultrasonic reflection signal point cloud, , is the ultrasonic signal redundancy; Use to form the reconstructed ultrasonic reflection signal point cloud and acoustic stretching coefficient point cloud , , .

[0009] Further, the reconstruction of the ultrasonic reflection method detection signal of the multi-curved thick composite material blade subsequently scanned and detected by using the acoustic stretching coefficient point cloud includes: Based on the acoustic stretching coefficient point cloud , realize the acoustic stretching of the ultrasonic reflection method detection signal point cloud of the multi-curved thick composite material blade subsequently scanned and detected, and obtain the reconstructed ultrasonic reflection signal point cloud of the multi-curved thick composite material blade subsequently detected.

[0010] Further, after the reconstruction of the ultrasonic reflection method detection signal of the multi-curved thick composite material blade subsequently scanned and detected by using the acoustic stretching coefficient point cloud, it further includes: Based on the reconstructed ultrasonic reflection signal point cloud of the multi-curved thick composite material blade and its changes, through signal indication and imaging display, realize the ultrasonic detection of the multi-curved thick composite material blade.

[0011] In a second aspect, the present application provides a device for reconstructing an ultrasonic reflection detection signal of a multi-curved thick composite material blade, including a transducer, an ultrasonic signal reconstruction unit, an ultrasonic signal display unit, and a scanning unit; The device for reconstructing the ultrasonic reflection detection signal of the multi-curved thick composite material blade is used to implement the method for reconstructing the ultrasonic reflection detection signal of the multi-curved thick composite material blade as described above.

[0012] Further, it further includes an ultrasonic transmitting / receiving unit, which is used to provide a transmitting signal to the transducer and simultaneously preprocess the ultrasonic reflection signal received by the transducer.

[0013] Further, the ultrasonic signal reconstruction unit is used to reconstruct the ultrasonic reflection signal preprocessed by the ultrasonic transmitting / receiving unit.

[0014] The above technical solution of the present application has the following advantages: The ultrasonic reflection detection signal reconstruction method for multi-curved thick composite material blades provided in the first aspect of the present application, based on the propagation behavior of ultrasonic waves in multi-curved thick composite material blades, can automatically reconstruct the ultrasonic reflection signal at each detection position point by establishing a detection point cloud, significantly improving the rationality and accuracy of ultrasonic signal reconstruction for multi-curved thick composite material blades. Based on the reconstructed ultrasonic signal, it is possible to suppress the interference of the surface, thickness, surface state, internal microstructure, acoustic attenuation change, etc. of the detected part on the defect signal, thereby significantly improving the accuracy of defect detection for extremely complex multi-curved thick composite material blades, reducing the risk of missed detection and misjudgment of defects, and improving the reliability of the detection results.

[0015] It can be understood that the beneficial effects of the above second aspect can refer to the relevant descriptions in the above first aspect and will not be elaborated here. Description of the Drawings

[0016] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the following drawings are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 It is a flowchart of the ultrasonic reflection detection signal reconstruction method for multi-curved thick composite material blades provided by the present application; Figure 2 It is a principle and device diagram of the ultrasonic reflection detection signal reconstruction method for multi-curved thick composite material blades provided by the present application; Figure 3 It is a point cloud acquisition diagram of the ultrasonic reflection detection signal reconstruction method for multi-curved thick composite material blades provided by the present application.

[0018] Reference numerals: 1, transducer; 2, ultrasonic transmitting / receiving unit; 3, ultrasonic signal reconstruction unit; 4, ultrasonic signal display unit; 5, scanning unit; 6, detected part. Specific Embodiments

[0019] In the following description, specific details such as specific system architectures, technologies, etc. are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0020] It should be understood that when used in the specification and appended claims of the present application, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0021] In addition, in the description of the specification and appended claims of the present application, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0022] The reference to "one embodiment" or "some embodiments" etc. described in the specification of the present application means that a specific feature, structure, or characteristic described in connection with that embodiment is included in one or more embodiments of the present application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in another way. The terms "comprising", "including", "having", and their variants all mean "including but not limited to", unless otherwise specifically emphasized in another way. "Plurality" means "two or more".

[0023] The object of the present application is to address the ultrasonic reflection method detection requirements and existing deficiencies for abnormally complex multi-curved thick composite material blades, and a method for reconstructing ultrasonic reflection detection signals for multi-curved thick composite material blades is proposed to improve the applicability, detection accuracy, and reliability of the ultrasonic reflection method for detecting multi-curved thick composite material blades, and reduce the risk of missed detection and misjudgment.

[0024] The following further describes in detail the specific implementation manners of the present application in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0025] As Figure 1As shown in the figure, an ultrasonic reflection detection signal reconstruction method for a multi-curved thickened composite material blade provided by an embodiment of the present application specifically includes the following steps: driving a transducer to perform an ultrasonic reflection method scan on the multi-curved thickened composite material blade according to a set detection point cloud scan trajectory and detection point cloud density; using an ultrasonic signal reconstruction unit to record the ultrasonic reflection signal and its corresponding position signal at each detection position point, generating a plurality of detection point cloud signals; solving the corresponding acoustic stretching coefficient according to the ultrasonic reflection signal at each detection position point to obtain a reconstructed ultrasonic reflection signal point cloud and an acoustic stretching coefficient point cloud; using the acoustic stretching coefficient point cloud to reconstruct the ultrasonic reflection method detection signal of the multi-curved thickened composite material blade subsequently scanned and detected.

[0026] In some embodiments, before the driving transducer performs an ultrasonic reflection method scan on the multi-curved thickened composite material blade according to a set detection point cloud scan trajectory and detection point cloud density, it further includes: generating a detection point cloud scan trajectory through a scanning unit according to the characteristics of the multi-curved thickened composite material blade to be detected and the detection requirements, and setting the detection point cloud density .

[0027] In some embodiments, before the using the ultrasonic signal reconstruction unit to record the ultrasonic reflection signal and its corresponding position signal at each detection position point and generate a plurality of detection point cloud signals, it further includes: setting the ultrasonic reflection signal through the ultrasonic signal reconstruction unit by using the ultrasonic signal position displayed by the ultrasonic signal display unit of the recording thickness range and .

[0028] In some embodiments, the using the ultrasonic signal reconstruction unit to record the ultrasonic reflection signal and its corresponding position signal at each detection position point and generate a plurality of detection point cloud signals includes: using the ultrasonic signal reconstruction unit to record the ultrasonic reflection signal at each detection position point in real time according to the set detection point cloud density and the set recording thickness range of the ultrasonic reflection signal and and , and its corresponding position signal , and generating detection point cloud signals in real time ; until the transducer completes the scan of the multi-curved thickened composite material blade, the ultrasonic signal reconstruction unit generates a total of detection point cloud signals , , , indicating that it is composed of , …, .

[0029] In some embodiments, solving the corresponding acoustic stretching coefficient according to the ultrasonic reflection signals at each detection position point to obtain the reconstructed ultrasonic reflection signal point cloud and acoustic stretching coefficient point cloud includes: When When , is the minimum ultrasonic signal gain step, is an integer, is the peak value of , is the screen signal display height in the ultrasonic signal display unit; when When, save the acoustic stretching coefficient , according to solve in the reconstructed ultrasonic reflection signal point cloud, , is the ultrasonic signal redundancy; use to form the reconstructed ultrasonic reflection signal point cloud and the acoustic stretching coefficient point cloud , , .

[0030] In some embodiments, the reconstruction of the ultrasonic reflection method detection signal of the multi-curved thick composite material blade subsequently scanned and detected by using the acoustic stretching coefficient point cloud includes: Based on the acoustic stretching coefficient point cloud , realize the acoustic stretching of the ultrasonic reflection method detection signal point cloud of the multi-curved thick composite material blade subsequently scanned and detected, and obtain the reconstructed ultrasonic reflection signal point cloud of the multi-curved thick composite material blade subsequently detected.

[0031] In some embodiments, after the reconstruction of the ultrasonic reflection method detection signal of the multi-curved thick composite material blade subsequently scanned and detected by using the acoustic stretching coefficient point cloud, it further includes: Based on the reconstructed ultrasonic reflection signal point cloud of the multi-curved thick composite material blade and its change, through signal indication and imaging display, realize the ultrasonic detection of the multi-curved thick composite material blade.

[0032] The principle and hardware composition of the method and device for realizing the reconstruction of the ultrasonic reflection detection signal of the multi-curved thick composite material blade are as Figure 2 shown, mainly composed of a transducer 1, an ultrasonic transmitting / receiving unit 2, an ultrasonic signal reconstruction unit 3, an ultrasonic signal display unit 4, a scanning unit 5, etc., and the test piece 6 represents an extremely complex multi-curved surface variable-thickness composite material blade, where: The transducer 1 is used to transmit ultrasonic signals to the test piece 6 , and at the same time is used to receive the ultrasonic reflection signals from the test piece 6 , Composed of ultrasonic reflection signals from different depths in the part 6 to be inspected , where , is the total number of ultrasonic reflection signals from different depths in the part 6 to be inspected, is the th detection position point where the transducer 1 is located, and its corresponding position coordinates are .

[0033] The ultrasonic transmitting / receiving unit 2 is used to provide a transmitting signal to the transducer 1 and is also used to preprocess the ultrasonic reflection signal received by the transducer . The ultrasonic signal reconstruction unit 3 is used to reconstruct the ultrasonic reflection signal preprocessed by the ultrasonic transmitting / receiving unit 2. Using the CPU and data processing capabilities of the ultrasonic signal reconstruction unit 3 itself, the ultrasonic reflection signal obtained during the three-dimensional (i.e., 3D) scanning of the part 6 by the transducer 1 and the position signal are mapped and associated to generate a detection point cloud signal , where respectively represent the position coordinates of the th detection point corresponding to the location of the transducer 1 on the part 6 to be inspected, and is the ultrasonic reflection signal corresponding to the th detection point. At the same time, the ultrasonic signal reconstruction unit 3 is used to set the signal preprocessing threshold .

[0034] The ultrasonic signal display unit 4 is used to display the ultrasonic reflection signal reconstructed by the ultrasonic signal reconstruction unit 3 either by signal display or imaging display, and at the same time provides a signal indication for setting the signal preprocessing threshold for the ultrasonic signal reconstruction unit 3, , is the screen signal display height in the ultrasonic signal display unit 4. The scanning unit 5 is used to drive the transducer 1 to automatically scan the part 6 according to a given scanning trajectory and detection point cloud density so as to automatically obtain the detection point cloud signal at each detection position point. See Figure 3 .

[0035] The method for automatically obtaining the detection point cloud by ultrasonic reflection method is as follows: According to the characteristics and detection requirements of the complex multi-curved and variable-thickness composite material blade to be detected, the scanning unit 5 generates a detection point cloud scanning trajectory. See Figure 3 , and sets the density of the detection point cloud through the scanning unit 5; Using the position of the ultrasonic signal displayed by the ultrasonic signal display unit 4, the ultrasonic reflection signal is set through the ultrasonic signal reconstruction unit 3 Record thickness range and ; The detection point cloud scanning trajectory generated by the scanning unit 5 drives the transducer 1 to automatically scan the ultrasonic reflection method for the multi-curved variable-thickness composite material blade with extremely complex shape. At the same time, the ultrasonic signal reconstruction unit 3 generates the detection point cloud density and the set ultrasonic reflection signal Record thickness range and , and records the ultrasonic reflection signal of each detection position point in real time and its corresponding position signal , and generates the detection point cloud signal in real time . Until the transducer 1 completes the scan of the multi-curved variable-thickness composite material blade with extremely complex shape, the ultrasonic signal reconstruction unit 3 automatically generates a total of detection point cloud signals , , where represents the meaning composed of ,…, . The meaning represented by the following " " is the same

[0036] After the scan is completed, the ultrasonic signal reconstruction unit 3 follows the following steps to solve the acoustic stretching coefficient in : : Step 1: Signal stretching: When , , is the minimum ultrasonic signal gain step size, is an integer and the initial value is 1, is peak value; Step 2: Signal stretching effect judgment: When , continue with Step 1, k value is incremented by 1 on the original value; until when , save , where is the ultrasonic signal redundancy and can be determined by experiments

[0037] According to solve the in the reconstructed ultrasonic reflection signal point cloud, , use to form the reconstructed ultrasonic reflection signal point cloud and the acoustic stretching coefficient point cloud :

[0038]

[0039] The ultrasonic reflection method detection signal of the abnormally complex multi - curved surface variable - thickness composite material blade to be subsequently scanned and detected is reconstructed using the above formula: Based on , the acoustic stretching of the point cloud of the ultrasonic reflection method detection signal of the abnormally complex multi - curved surface variable - thickness composite material blade to be subsequently scanned and detected is realized, and the reconstructed ultrasonic reflection method detection signal of the abnormally complex multi - curved surface variable - thickness composite material blade to be subsequently detected is obtained , and the ultrasonic reflection method detection signal that better reflects the geometric and acoustic characteristics of the detected abnormally complex multi - curved surface variable - thickness composite material blade is obtained for more accurate ultrasonic detection of the abnormally complex multi - curved surface variable - thickness composite material blade; Based on and its changes, through signal indication and imaging display, the ultrasonic detection of the abnormally complex multi - curved surface variable - thickness composite material blade is realized.

[0040] The embodiment of the present application also provides a device for reconstructing the ultrasonic reflection detection signal of a multi - curved variable - thickness composite material blade. The device for reconstructing the ultrasonic reflection detection signal of a multi - curved variable - thickness composite material blade includes a transducer, an ultrasonic signal reconstruction unit, an ultrasonic signal display unit, and a scanning unit; The device for reconstructing the ultrasonic reflection detection signal of a multi - curved variable - thickness composite material blade is used to implement the method for reconstructing the ultrasonic reflection detection signal of a multi - curved variable - thickness composite material blade as described above.

[0041] In some embodiments, it further includes an ultrasonic transmitting / receiving unit, and the ultrasonic transmitting / receiving unit is used to provide a transmission signal to the transducer and simultaneously pre - process the ultrasonic reflection signal received by the transducer.

[0042] In some embodiments, the ultrasonic signal reconstruction unit is used to reconstruct the ultrasonic reflection signal pre - processed by the ultrasonic transmitting / receiving unit.

[0043] Based on the ultrasonic reflection principle and the propagation behavior of sound waves in a composite material blade with an extremely complex multi-curved variable thickness, according to the curvature, thickness, surface and internal states, acoustic characteristics, and detection requirements of each different detection position in the composite material blade with an extremely complex multi-curved variable thickness, a signal reconstruction method and device for ultrasonic reflection detection of a multi-curved variable-thickness composite material blade are proposed, which can meet the accurate reconstruction of the ultrasonic reflection detection signal of the composite material blade with an extremely complex multi-curved variable thickness, taking into account the curvature, thickness, surface state, internal microstructure, acoustic characteristics, and detection requirements of each detection position point of the composite material blade with an extremely complex multi-curved variable thickness. Furthermore, the rationality and accuracy of the ultrasonic reflection detection signal reconstruction of the composite material blade with an extremely complex multi-curved variable thickness are improved, which is more conducive to distinguishing the defect signal from the changes in the ultrasonic reflection detection signal caused by the curvature, thickness, and internal microstructure of the blade itself, improving the detection effect and defect detection ability of ultrasonic for the composite material blade with an extremely complex multi-curved variable thickness; it can take into account different composite material blades and their requirements for ultrasonic defect detection, realize the intelligent reconstruction of the ultrasonic reflection method detection signal, significantly improve the reconstruction efficiency and detection efficiency of the ultrasonic reflection detection signal and the accuracy of the detection result.

[0044] It should be noted that for the information interaction, execution process, etc. between the above-mentioned modules / units, since they are based on the same concept as the method embodiment of the present application, their specific functions and the technical effects brought can be specifically referred to in the method embodiment part, and will not be elaborated here.

[0045] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above-mentioned functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the foregoing method embodiment and will not be elaborated here.

[0046] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades, characterized in that, Including: The driving transducer scans the multi-curved thick composite material blade by the ultrasonic reflection method according to the set detection point cloud scanning trajectory and detection point cloud density; The ultrasonic signal reconstruction unit records the ultrasonic reflection signal and its corresponding position signal at each detection position point, and generates a plurality of detection point cloud signals; According to the ultrasonic reflection signal at each detection position point, the corresponding acoustic stretching coefficient is solved to obtain the reconstructed ultrasonic reflection signal point cloud and acoustic stretching coefficient point cloud; The acoustic stretching coefficient point cloud is used to reconstruct the ultrasonic reflection method detection signal of the multi-curved thick composite material blade to be scanned and detected subsequently.

2. The method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 1, characterized in that, Before the driving transducer scans the multi-curved thick composite material blade by the ultrasonic reflection method according to the set detection point cloud scanning trajectory and detection point cloud density, it further includes: According to the characteristics and detection requirements of the detected multi-curved thick composite material blade, generate the detection point cloud scanning trajectory through the scanning unit and set the detection point cloud density .

3. The method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 1, characterized in that, Before the ultrasonic signal reconstruction unit records the ultrasonic reflection signal and its corresponding position signal at each detection position point and generates a plurality of detection point cloud signals, it further includes: Set the recording thickness range of the ultrasonic reflection signal through the position of the ultrasonic signal displayed by the ultrasonic signal display unit by the ultrasonic signal reconstruction unit and .​ 4. The method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 1, characterized in that, The ultrasonic signal reconstruction unit records the ultrasonic reflection signal and its corresponding position signal at each detection position point and generates a plurality of detection point cloud signals, including: The ultrasonic signal reconstruction unit reconstructs according to the set detection point cloud density and the set ultrasonic reflection signal within the recorded thickness range and records the ultrasonic reflection signal at each detection position point in real time and its corresponding position signal and generates a detection point cloud signal in real time ; Until the transducer completes the scanning of the multi-curved thickening composite material blade, the ultrasonic signal reconstruction unit generates a total of detected point cloud signals , , which are represented by ,…, and so on.

5. The method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 1, characterized in that, According to the ultrasonic reflection signal at each detection position point, the corresponding acoustic stretching coefficient is solved to obtain the reconstructed ultrasonic reflection signal point cloud and acoustic stretching coefficient point cloud, including: When , , is the minimum ultrasonic signal gain step size, is an integer number, is the peak value of, , is the screen signal display height in the ultrasonic signal display unit; When is reached, save the acoustic stretching coefficient , and according to solve for the in the reconstructed ultrasonic reflection signal point cloud, , is the ultrasonic signal redundancy; Utilize to form the point cloud of the reconstructed ultrasonic reflection signal and the point cloud of the acoustic stretching coefficient , , .

6. The method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 1, characterized in that, The acoustic stretching coefficient point cloud is used to reconstruct the ultrasonic reflection method detection signal of the multi-curved thick composite material blade to be scanned and detected subsequently, including: Based on the acoustic stretching coefficient point cloud , realizing the acoustic stretching of the ultrasonic reflection method detection signal point cloud of the multi-curved thick composite material blade subsequently scanned and detected, and obtaining the ultrasonic reflection signal point cloud after reconstruction of the multi-curved thick composite material blade subsequently detected .

7. The method for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 1, characterized in that, After the acoustic stretching coefficient point cloud is used to reconstruct the ultrasonic reflection method detection signal of the multi-curved thick composite material blade to be scanned and detected subsequently, it further includes: Point cloud of ultrasonic reflection signals after reconstruction of multi-curved thickened composite blades And its changes are used to achieve ultrasonic detection of multi-curved thickened composite blades through signal indication and imaging display.

8. An apparatus for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades, characterized in that, Including a transducer, an ultrasonic signal reconstruction unit, an ultrasonic signal display unit, and a scanning unit; The multi-curved thick composite material blade ultrasonic reflection detection signal reconstruction device is used to implement the multi-curved thick composite material blade ultrasonic reflection detection signal reconstruction method according to any one of claims 1 to 7.

9. The apparatus for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 8, characterized in that, It further includes an ultrasonic transmitting / receiving unit, and the ultrasonic transmitting / receiving unit is used to provide a transmitting signal to the transducer and simultaneously preprocess the ultrasonic reflection signal received by the transducer.

10. The apparatus for reconstructing ultrasonic reflection detection signals of multi-curved and variable-thickness composite material blades according to claim 9, characterized in that, The ultrasonic signal reconstruction unit is used to reconstruct the ultrasonic reflection signal preprocessed by the ultrasonic transmitting / receiving unit.

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