Joint coating abnormity identification method and device, equipment, storage medium and product

Abstract

The invention discloses a joint coating abnormity identification method and device, equipment, a storage medium and a product. The method comprises the following steps: determining a detection sound pressure amplitude of an ultrasonic echo signal at a bonding surface of a to-be-detected repaired mouth, the to-be-detected repaired mouth comprising an anticorrosive layer, a bonding layer and a pipeline layer; determining whether the to-be-detected repaired mouth is abnormal or not by comparing the detected sound pressure amplitude with a first preset sound pressure amplitude threshold value; when the to-be-detected repaired mouth is abnormal, recording a repaired mouth abnormal position of the to-be-detected repaired mouth, and determining a repaired mouth abnormal area according to the repaired mouth abnormal position; and generating a repaired mouth abnormal image corresponding to the repaired mouth abnormal region by adopting a full-focus imaging method. According to the method, the abnormal condition of the to-be-detected repaired mouth can be visually represented, the specific position and size of the repaired mouth abnormity are observed in combination with the image, and the repaired mouth abnormity identification efficiency and accuracy are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ultrasonic detection, and in particular to a girth joint abnormality identification method, device, equipment, storage medium and product. BACKGROUND

[0002] In the production and operation of oil and gas pipelines, the girth joint connection area of the pipeline is usually coated for corrosion protection to ensure the long-term safe operation of the pipeline. Accurate and efficient identification of abnormal girth joints to improve the safety of pipeline operation has become a focus of research and practice.

[0003] At present, existing detection technologies mostly focus on detecting whether the weld itself is abnormal, rely on color development reactions, and determine the external leaks of the weld by spraying a color development solution on the surface of the weld and adhering a color development tape to the opposite side of the weld according to the color change area of the color development tape.

[0004] However, the above scheme can only identify the abnormal position of the weld, and is insufficient in identifying the girth joint level, resulting in low girth joint abnormality identification efficiency and accuracy. SUMMARY

[0005] The present application provides a girth joint abnormality identification method, device, equipment, storage medium and product, which can solve the problem of low girth joint abnormality identification efficiency and accuracy.

[0006] According to one aspect of the present application, a girth joint abnormality identification method is provided, comprising:

[0007] determining a detection sound pressure amplitude value of an ultrasonic echo signal at a bonding surface of a to-be-tested girth joint, wherein the to-be-tested girth joint comprises a corrosion protection layer, a bonding layer and a pipeline layer;

[0008] comparing the detection sound pressure amplitude value with a first preset sound pressure amplitude threshold value to determine whether the to-be-tested girth joint is abnormal;

[0009] when the to-be-tested girth joint is abnormal, recording a girth joint abnormality position of the to-be-tested girth joint, and determining a girth joint abnormality area according to the girth joint abnormality position;

[0010] generating a girth joint abnormality image corresponding to the girth joint abnormality area using a full-focus imaging method.

[0011] According to another aspect of the present application, a girth joint abnormality identification device is provided, comprising:

[0012] a detection sound pressure amplitude value determination module configured to determine a detection sound pressure amplitude value of an ultrasonic echo signal at a bonding surface of a to-be-tested girth joint, wherein the to-be-tested girth joint comprises a corrosion protection layer, a bonding layer and a pipeline layer;

[0013] The to-be-tested joint abnormality detection module is configured to determine whether the to-be-tested joint has an abnormality by comparing the detected sound pressure amplitude value with the first preset sound pressure amplitude threshold value.

[0014] The joint abnormal area determination module is configured to record a joint abnormal position of the to-be-tested joint when the to-be-tested joint has an abnormality, and determine a joint abnormal area according to the joint abnormal position.

[0015] The joint abnormal image generation module is configured to generate a joint abnormal image corresponding to the joint abnormal area by using a full-focus imaging method.

[0016] According to another aspect of the present application, an electronic device is provided, which comprises:

[0017] at least one processor; and

[0018] a memory connected to the at least one processor in communication; wherein

[0019] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the joint abnormality identification method according to any one of the embodiments of the present application.

[0020] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for enabling a processor to perform the joint abnormality identification method according to any one of the embodiments of the present application when the computer instructions are executed by the processor.

[0021] According to another aspect of the present application, a computer program product is provided, which comprises a computer program for enabling a processor to perform the joint abnormality identification method according to any one of the embodiments of the present application when the computer program is executed by the processor.

[0022] The joint abnormality identification scheme provided by the embodiments of the present application determines whether the to-be-tested joint has an abnormality by comparing the detected sound pressure amplitude value of the ultrasonic echo signal at the bonding surface of the to-be-tested joint with the first preset sound pressure amplitude threshold value, thereby realizing the abnormality identification of the to-be-tested joint, wherein the to-be-tested joint comprises a corrosion-proof layer, a bonding layer and a pipeline layer; when the to-be-tested joint has an abnormality, the joint abnormal position of the to-be-tested joint is recorded, and the joint abnormal area is determined according to the joint abnormal position, thereby realizing the accurate positioning of the joint abnormal area of the to-be-tested joint; the joint abnormal image corresponding to the joint abnormal area is generated by using the full-focus imaging method, so that the abnormality of the to-be-tested joint can be more intuitively represented, and the specific position and size of the joint abnormality can be observed in combination with the image, thereby improving the efficiency and accuracy of the joint abnormality identification.

[0023] It is to be understood that the description of the background of the application is not an acknowledgement or admission that any of the information provided in the description of the background of the application is prior art to the application. The information in the description of the background of the application may contain ideas, concepts and / or discoveries not yet known to be prior art. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort based on these drawings.

[0025] Figure 1 is a flow chart of a method for identifying a gusset abnormality according to an embodiment of the present application;

[0026] Figure 2 is a theoretical model diagram of ultrasonic detection for implementing an embodiment of the present application;

[0027] Figure 3 is a flow chart of a method for identifying a gusset abnormality according to an embodiment of the present application;

[0028] Figure 4 is a flow chart of a method for identifying a gusset abnormality according to an embodiment of the present application;

[0029] Figure 5 is a principle diagram of a full-focus imaging method for implementing an embodiment of the present application;

[0030] Figure 6 is a structural schematic diagram of a device for identifying a gusset abnormality according to an embodiment of the present application;

[0031] Figure 7 is a structural schematic diagram of an electronic device for implementing a method for identifying a gusset abnormality. DETAILED DESCRIPTION

[0032] In order to make the technical personnel in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, but not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should be within the scope of protection of the present application.

[0033] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and in the above description of the drawings are used to distinguish similar objects and are not necessarily used to describe a particular sequential or chronological order. It should be understood that the data thus used can be interchanged under appropriate circumstances so that the embodiments of the application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a list of steps or units does not necessarily limit those steps or units to the clearly listed ones, but can include other steps or units that are not clearly listed or inherent to such processes, methods, products or devices.

[0034] Embodiment one

[0035] Figure 1 A flowchart of a gasket abnormality identification method is provided for the first embodiment of the present application. The embodiment can be applicable to gasket abnormality identification of a pipeline. The method can be executed by a gasket abnormality identification device, which can be realized in the form of hardware and / or software, and can be configured in an electronic device. As shown in Figure 1 The method includes the following steps.

[0036] S110, determine the detection sound pressure amplitude of the ultrasonic echo signal at the bonding surface of the to-be-tested gasket, wherein the to-be-tested gasket includes a corrosion-proof layer, a bonding layer and a pipeline layer.

[0037] An exemplary Figure 2 An ultrasonic detection theoretical model diagram for implementing the embodiment of the present application is shown, which includes a water immersion probe 201, a corrosion-proof layer 202, a bonding layer 203, a pipeline layer 204, a corrosion-proof layer surface 205, a bonding surface 206 where the outer surface of the bonding layer contacts the corrosion-proof layer, a bonding surface 207 where the inner surface of the bonding layer contacts the pipeline layer, and a pipeline bottom surface 208.

[0038] In the embodiment, the to-be-tested joint includes a composite structure formed after the pipeline joint is subjected to anticorrosion treatment, and can be divided into a pipeline layer 204, a bonding layer 203, and an anticorrosion layer 202 from inside to outside, in which the outer surface and the inner surface of the bonding layer form bonding interfaces with the anticorrosion layer and the pipeline layer, respectively. The bonding surface can include a bonding surface 206 where the outer surface of the bonding layer is in contact with the anticorrosion layer, and a bonding surface 207 where the inner surface of the bonding layer is in contact with the pipeline layer. The ultrasonic echo signal can be understood as an acoustic signal returned to the probe when the ultrasonic wave emitted by the ultrasonic probe (hereinafter referred to as the probe) encounters the interface between different materials or structures during propagation, for example, when the ultrasonic wave encounters the bonding surface 206 where the outer surface of the bonding layer is in contact with the anticorrosion layer, a part of the acoustic signal is reflected due to the change in material, and the reflected signal received by the probe is the ultrasonic echo signal. The detection acoustic pressure amplitude of the ultrasonic echo signal is related to the media on both sides of the interface, and different media have different reflection capabilities for ultrasonic waves, so the detection acoustic pressure amplitude of the ultrasonic echo signal can be determined according to the reflection capability of the materials on both sides of the bonding surface.

[0039] In S120, whether the to-be-tested joint has an abnormality is determined by comparing the detection acoustic pressure amplitude with the first preset acoustic pressure amplitude threshold.

[0040] In the embodiment, the first preset acoustic pressure amplitude threshold can be pre-set according to experience or pre-determined according to the reflection capability of the bonding layer.

[0041] For example, the acoustic pressure amplitude of the ultrasonic echo signal is related to the reflection capability of the materials on both sides of the bonding surface. When the bonding surface has an abnormality, the reflection capability of the bonding layer changes, for example, when the bonding layer is loose, air enters between the bonding layer and the anticorrosion layer, causing the reflection capability of the bonding layer for ultrasonic waves to change. Therefore, the corresponding acoustic pressure amplitude of the bonding layer under normal circumstances can be obtained through experiments, and the acoustic pressure amplitude can be used as the first preset acoustic pressure amplitude threshold. Whether the to-be-tested joint has an abnormality can be determined by comparing the detection acoustic pressure amplitude with the first preset acoustic pressure amplitude threshold.

[0042] In S130, when the to-be-tested joint has an abnormality, the joint abnormal position of the to-be-tested joint is recorded, and the joint abnormal area is determined according to the joint abnormal position.

[0043] In the embodiment, the joint abnormal position can include a joint abnormal position at the same depth and a joint abnormal position at different depths. The joint abnormal frame can be obtained by connecting the joint abnormal positions, and the joint abnormal area can be determined.

[0044] For example, when the probe is used to emit ultrasonic waves to detect the to-be-tested joint, the abnormal position coordinates of the to-be-tested joint are recorded, the extreme values (such as the maximum and minimum values of the x-axis and the maximum and minimum values of the y-axis) of the abnormal position coordinates are screened out, and the area surrounded by the extreme values of the abnormal position coordinates is taken as the joint abnormal area.

[0045] In S140, a joint abnormal image corresponding to the joint abnormal area is generated by using a total focusing imaging method.

[0046] In this embodiment, the total focusing imaging method (TFM) is an ultrasonic nondestructive testing technology based on full matrix capture (FMC), which realizes accurate imaging of each point in the joint abnormal area through virtual focusing. For example, a one-dimensional phased array is used to sequentially excite each array element as an ultrasonic emission source, while all array elements receive acoustic echo signals. The detection sound pressure amplitude values of the acoustic echo signals received by all array elements are superimposed by TFM to obtain the sound pressure amplitude values of each point in the joint abnormal area. The sound pressure amplitude values are processed into pixel values by normalization operation to generate the joint abnormal image corresponding to the joint abnormal area. The joint abnormal image can include a two-dimensional joint abnormal image and / or a three-dimensional joint abnormal image.

[0047] The joint abnormality recognition method provided in the embodiments of the present application solves the problems of low efficiency and accuracy of joint abnormality recognition. By comparing the detection sound pressure amplitude values of the ultrasonic echo signals at the bonding surface of the to-be-tested joint with the first preset sound pressure amplitude threshold value, it is determined whether the to-be-tested joint has an abnormality, thereby realizing the abnormality recognition of the to-be-tested joint. The to-be-tested joint includes a corrosion-resistant layer, a bonding layer and a pipeline layer. When the to-be-tested joint has an abnormality, the joint abnormal position of the to-be-tested joint is recorded, and the joint abnormal area is determined according to the joint abnormal position, thereby realizing the accurate positioning of the joint abnormal area of the to-be-tested joint. By using the total focusing imaging method to generate the joint abnormal image corresponding to the joint abnormal area, the abnormality of the to-be-tested joint can be more intuitively represented, and the specific position and size of the joint abnormality can be observed in combination with the image, thereby improving the efficiency and accuracy of the joint abnormality recognition.

[0048] Embodiment Two

[0049] Figure 3 A flowchart of a joint abnormality recognition method provided for the second embodiment of the present application is shown in FIG. 4. Based on the above-mentioned embodiments, the present embodiment is refined. As shown in FIG. 4, the method comprises the following steps. Figure 3

[0050] In S310, the medium acoustic impedance is determined according to the joint medium density of the to-be-tested joint and the ultrasonic wave propagation speed in the medium.

[0051] ​In the embodiment, the medium density is related to the material, the anticorrosive layer, the adhesive layer and the pipeline layer in the to-be-measured joint are generally made of different materials, and thus the medium densities of the different layers are different. The medium densities corresponding to different materials can be obtained by consulting relevant information. In addition, the propagation speed of ultrasonic waves in different media is different, and the propagation speed is also related to the material characteristics. The propagation speed of ultrasonic waves in different media can be obtained by consulting relevant information. The acoustic impedance of different media is determined by the medium density and the propagation speed of ultrasonic waves in the medium, and the expression is as follows:

[0052] Z = p x c (1)

[0053] Wherein, Z represents the acoustic impedance, p represents the medium density, and c represents the propagation speed of ultrasonic waves in the medium.

[0054] S320, determining the medium reflection coefficient according to the acoustic impedance of the medium.

[0055] In the embodiment, the medium reflection coefficient can represent the reflection degree of ultrasonic waves at the bonding surface (for example, the bonding surface 206 where the outer surface of the adhesive layer contacts the anticorrosive layer), and is related to the acoustic impedance of the media on both sides of the bonding surface. The expression is as follows:

[0056]

[0057] Wherein, r represents the reflection coefficient, Z b represents the load acoustic impedance, Z u represents the transmission line characteristic acoustic impedance. For example, when the reflection coefficient at the bonding surface 206 where the outer surface of the adhesive layer contacts the anticorrosive layer is calculated, if the ultrasonic wave propagates from the anticorrosive layer to the adhesive layer, then Z u represents the acoustic impedance of the anticorrosive layer, and Z b represents the acoustic impedance of the adhesive layer.

[0058] S330, determining the detection sound pressure amplitude value of the ultrasonic echo signal at the bonding surface of the to-be-measured joint according to the medium reflection coefficient, the preset proportionality coefficient and the reference sound pressure amplitude value.

[0059] In the embodiment, the preset proportionality coefficient is related to the attenuation degree of ultrasonic wave transmission in the medium, and can be obtained by experiment or by consulting relevant information. The reference sound pressure amplitude value can be understood as the sound pressure amplitude value of the ultrasonic wave in the measurement environment. For example, when the probe emits ultrasonic waves to detect the pipeline joint, if the medium between the probe and the pipeline joint is air, then the reference sound pressure amplitude value is the sound pressure amplitude value of the ultrasonic wave in the air. If the medium between the probe and the pipeline joint is water, then the reference sound pressure amplitude value is the sound pressure amplitude value of the ultrasonic wave in the water. The reference sound pressure amplitude value can be obtained by experimental data or by consulting information. The detection sound pressure amplitude value of the ultrasonic echo signal at the bonding surface can be represented by the following expression:

[0060]

[0061] Among them, P R The measured sound pressure amplitude is represented by α, which represents the preset proportionality coefficient, and r is the measured sound pressure amplitude. u r represents the reflection coefficient of the transmission medium. b Represents the reflection coefficient of the load medium. Representing the reference sound pressure amplitude, for example, when calculating the detected sound pressure amplitude of the ultrasonic echo signal at the bonding surface 206 where the outer surface of the adhesive layer contacts the anti-corrosion layer, if the medium between the probe and the pipe joint is water, the ultrasonic wave propagates first through the water, then to the anti-corrosion layer, and finally to the adhesive layer. When the ultrasonic wave encounters the contact surface between the water and the anti-corrosion layer, it generates an echo and a transmitted wave. When the transmitted wave encounters the bonding surface 206 where the outer surface of the adhesive layer contacts the anti-corrosion layer, it generates another echo. Therefore, r u r represents the reflection coefficient of ultrasound at the interface between water and the anti-corrosion layer. b The reflection coefficient represents the ultrasonic wave at the bonding surface 206 where the adhesive layer contacts the anti-corrosion layer. This represents the sound pressure amplitude of ultrasound in water.

[0062] For example, such as Figure 2 As shown, when using a water immersion probe 201 (during testing, a layer of water is sprayed on the outside of the pipe joint, making the medium between the probe and the pipe joint water) to test the pipe joint, the water immersion probe emits an ultrasonic signal T0 that travels a certain distance in the water and reaches the surface of the pipe joint, generating a surface echo signal R0 and a transmitted wave signal T1; when T1 reaches the bonding surface 206 where the outer surface of the bonding layer contacts the anti-corrosion layer, it generates an echo signal R1 and a transmitted wave signal T2; when T2 reaches the bonding surface 207 where the inner surface of the bonding layer contacts the pipe layer, it generates an echo signal R2 and a transmitted wave signal T3; in addition, the transmitted wave signal T3 will be reflected multiple times in the pipe layer, forming multiple bottom surface echo signals R3, etc., which are relatively weak and can be ignored.

[0063] Based on the propagation speed of ultrasonic waves in the water layer, anti-corrosion layer, bonding layer and pipe layer and the corresponding medium density of each layer, the acoustic impedance of each layer is calculated according to formula (1) and denoted as Z0, Z1, Z2 and Z3 respectively. The reflection coefficients of ultrasonic waves on the surface of the anti-corrosion layer, the bonding surface 206 of the outer surface of the bonding layer in contact with the anti-corrosion layer and the bonding surface 207 of the inner surface of the bonding layer in contact with the pipe layer are calculated according to formula (2) and denoted as r0, r1 and r2 respectively.

[0064]

[0065] The detection sound pressure amplitude values of the echo signals R1 and R2 of the ultrasonic waves on the bonding surface 206 of the outer surface of the bonding layer in contact with the anticorrosion layer and the bonding surface 207 of the inner surface of the bonding layer in contact with the pipeline layer are calculated according to formula (3) and

[0066]

[0067] wherein, the preset proportional coefficients α1 and α2 are related to the attenuation degree of the ultrasonic signal, and can be obtained by fitting multiple collected experimental data by using the difference method.

[0068] S340, determining whether the to-be-tested joint exists an abnormality by comparing the detection sound pressure amplitude value with the first preset sound pressure amplitude threshold value.

[0069] Optionally, before the step of determining whether the to-be-tested joint exists an abnormality by comparing the detection sound pressure amplitude value with the first preset sound pressure amplitude threshold value, the method further comprises: determining, by a simulation unit, a first simulation sound pressure amplitude value, a second simulation sound pressure amplitude value, a third simulation sound pressure amplitude value and a fourth simulation sound pressure amplitude value of the ultrasonic echo signal on the bonding layer according to a first preset medium density, a second preset medium density, a third preset medium density and a fourth preset medium density of the bonding layer, respectively, wherein the first preset medium density, the second preset medium density and the third preset medium density decrease in sequence, and the fourth simulation sound pressure amplitude value is the medium density after the bonding layer falls off; determining a first preset sound pressure amplitude threshold value according to the first simulation sound pressure amplitude value; determining a second preset sound pressure amplitude threshold value, a third preset sound pressure amplitude threshold value and a fourth preset sound pressure amplitude threshold value according to the second simulation sound pressure amplitude value, the third simulation sound pressure amplitude value and the fourth simulation sound pressure amplitude value, respectively; wherein the method further comprises: determining an abnormality degree of the to-be-tested joint by comparing the detection sound pressure amplitude value with the second preset sound pressure amplitude threshold value, the third preset sound pressure amplitude threshold value and the fourth preset sound pressure amplitude threshold value. The advantage of this setting is that different medium densities are set to obtain corresponding simulation sound pressure amplitude values by simulation, and the simulation sound pressure amplitude values are used as preset sound pressure amplitude threshold values. By comparing the relationship between the detection sound pressure amplitude value and the plurality of preset sound pressure amplitude threshold values, not only whether the to-be-tested joint exists an abnormality can be detected, but also the abnormality degree of the to-be-tested joint can be obtained, so that the joints of different abnormality types can be classified and processed, and the repair efficiency of the joints is improved.

[0070] Exemplarily, since the bonding quality of the bonding layer of the to-be-tested joint can be characterized as the tightness of the bonding surface medium, i.e., the mass of the substance in a unit volume, the bonding quality can be characterized by the medium density. According to formula (1), when the medium density of the bonding layer changes, the acoustic impedance changes, thereby causing the intensity of the echo signals R1 and R2 of the ultrasonic waves at the bonding surface 206 where the outer surface of the bonding layer contacts the anticorrosive layer and the bonding surface 207 where the inner surface of the bonding layer contacts the pipeline layer to change, i.e., the detection sound pressure amplitude value of the ultrasonic echo signals of the ultrasonic waves at the bonding surface 206 where the outer surface of the bonding layer contacts the anticorrosive layer and the bonding surface 207 where the inner surface of the bonding layer contacts the pipeline layer changes. and

[0071] According to formula (2) and formula (3), the change of the acoustic impedance causes the change of the medium reflection coefficient, and further causes the change of the detection sound pressure amplitude value of the ultrasonic echo signals. Therefore, the simulation unit can be used to set different medium densities of the bonding layer to simulate different bonding qualities of the bonding layer. The medium densities of the bonding layer are sequentially set as a first preset medium density p1, a second preset medium density p2, a third preset medium density p3, and a fourth preset medium density p4, where p1 > p2 > p3 > p4, and p4 is the medium density after the bonding layer falls off.

[0072] According to the different medium densities of the bonding layer, the first simulation sound pressure amplitude value the second simulation sound pressure amplitude value the third simulation sound pressure amplitude value and the fourth simulation sound pressure amplitude value of the ultrasonic waves at the bonding surface 206 where the outer surface of the bonding layer contacts the anticorrosive layer are respectively obtained according to formula (1), formula (2), and formula (3), and are respectively set as the first preset sound pressure amplitude threshold value, the second preset sound pressure amplitude threshold value, the third preset sound pressure amplitude threshold value, and the fourth preset sound pressure amplitude threshold value of the ultrasonic waves at the bonding surface 206 where the outer surface of the bonding layer contacts the anticorrosive layer. The first simulation sound pressure amplitude value the second simulation sound pressure amplitude value the third simulation sound pressure amplitude value and the fourth simulation sound pressure amplitude value of the ultrasonic waves at the bonding surface 207 where the inner surface of the bonding layer contacts the pipeline layer are obtained according to the same calculation method, and are respectively set as the first preset sound pressure amplitude threshold value, the second preset sound pressure amplitude threshold value, the third preset sound pressure amplitude threshold value, and the fourth preset sound pressure amplitude threshold value of the ultrasonic waves at the bonding surface 207 where the inner surface of the bonding layer contacts the pipeline layer.

[0073] ​Because better bonding quality of the adhesive layer corresponds to a higher medium density and higher acoustic impedance, resulting in a higher reflection coefficient and a weaker ultrasonic transmission signal, the detected sound pressure amplitude of the ultrasonic echo signal is higher at the bonding surface 206 where the outer surface of the adhesive layer contacts the anti-corrosion layer, and lower at the bonding surface 207 where the inner surface of the adhesive layer contacts the pipe layer. Therefore, the degree of abnormality of the patch to be tested can be determined according to the following patch abnormality judgment conditions, where p1 can be set as the medium density when the patch to be tested does not show abnormality, and p2 can be set as... Set p3 to

[0074] like or The repair quality is good, and the corresponding repair level is S0;

[0075] like or The joint quality is abnormal, the bonding quality is poor, and the corresponding joint level is S1.

[0076] like or The joint quality is abnormal and the bonding quality is poor, corresponding to a joint level of S2;

[0077] like or If the repair quality is abnormal and the repair joint is completely detached, the corresponding repair level is S3.

[0078] S350. When there is an abnormality in the patch to be tested, record the location of the abnormality and determine the location of the abnormality at the same depth based on the location of the abnormality.

[0079] In this embodiment, the abnormal location of the patch joint may be at the same depth or at different depths. For example, there may be abnormal locations on the bonding surface 206 where the outer surface of the bonding layer of the patch joint contacts the anti-corrosion layer and the bonding surface 207 where the inner surface of the bonding layer contacts the pipe layer. Then, the abnormal location of the patch joint at the same depth can be determined based on the depth information recorded in the abnormal location of the patch joint.

[0080] S360. Determine the shape of the patching anomaly at the same depth based on the location of the patching anomaly at the same depth.

[0081] In this embodiment, the coordinates of the patching anomaly positions at the same depth can be compared, and the largest or smallest coordinate position can be used as the vertex of the patching anomaly shape. The patching anomaly shape at the current depth can be obtained by connecting the vertices.

[0082] S370: Align the patch anomaly shapes of all depths to obtain the target patch anomaly shape.

[0083] In the embodiment, the aligned gasket abnormal shapes of all depths can be obtained by projecting the gasket abnormal shapes of different depths into the coordinate system of the same depth plane, for example, projecting along the vertical direction of the gasket to be detected, and taking the maximum abnormal region generated after the projection as the target gasket abnormal shape.

[0084] In S380, a region corresponding to the minimum circumscribed rectangle of the target gasket abnormal shape is determined as the gasket abnormal region.

[0085] In the embodiment, the gasket abnormal region can be obtained by expanding the target gasket abnormal shape into a rectangle with the smallest shape and capable of surrounding the target gasket abnormal shape.

[0086] For example, the extreme values (such as maximum or minimum) of the vertex coordinates of the target gasket abnormal shape can be screened, and the minimum circumscribed rectangle is generated by connecting the extreme values, and the rectangle region is taken as the gasket abnormal region.

[0087] In S390, a gasket abnormal image corresponding to the gasket abnormal region is generated by using the full-focus imaging method.

[0088] In the embodiment, the medium acoustic impedance is determined according to the gasket medium density of the gasket to be detected and the ultrasonic wave propagation speed in the medium; the medium reflection coefficient is determined according to the medium acoustic impedance; the detection sound pressure amplitude value of the ultrasonic echo signal at the bonding surface of the gasket to be detected is determined according to the medium reflection coefficient, a preset proportion coefficient, and a reference sound pressure amplitude value; and the size of the detection sound pressure amplitude value and the first preset sound pressure amplitude threshold value is compared to determine whether the gasket to be detected has an abnormality; the size of the detection sound pressure amplitude value and the second preset sound pressure amplitude threshold value, the third preset sound pressure amplitude threshold value, and the fourth preset sound pressure amplitude threshold value are compared to determine the abnormality degree of the gasket to be detected, which realizes more accurate detection of the gasket abnormality degree, facilitates subsequent classification processing of gaskets with different abnormality degrees, and improves the repair efficiency of the gasket; when the gasket to be detected has an abnormality, the gasket abnormal position of the gasket to be detected is recorded, the gasket abnormal positions of the same depth are determined according to the gasket abnormal position, the gasket abnormal shapes of the same depth are determined according to the gasket abnormal positions of the same depth, the aligned gasket abnormal shapes of all depths are obtained as the target gasket abnormal shape, the region corresponding to the minimum circumscribed rectangle of the target gasket abnormal shape is determined as the gasket abnormal region, and the gasket abnormal image corresponding to the gasket abnormal region is generated by using the full-focus imaging method, so that the calculation complexity of the full-focus imaging method is reduced, and the imaging efficiency of the gasket abnormal image is improved.

[0089] Embodiment three

[0090] Figure 4A flowchart of a gasket abnormality identification method provided for the third embodiment of the present application is shown in FIG. 13. The present embodiment is refined on the basis of the above-mentioned embodiments. As shown in FIG. 13, the method comprises the following steps. Figure 4

[0091] In S410, the detection sound pressure amplitude value of the ultrasonic echo signal at the bonding surface of the gasket to be tested is determined, wherein the gasket to be tested comprises an anticorrosion layer, a bonding layer and a pipeline layer.

[0092] Exemplarily, the present application provides an ultrasonic detection system applied to gasket abnormality identification, which comprises a PC host computer, a network switch, a multi-channel ultrasonic detection module, a scanning frame and a probe.

[0093] Further, the probe is fixed through the scanning frame, so that the probe is moved along the axial direction or the circumferential direction of the pipeline by the movement of the scanning frame; the probe is used to send ultrasonic signals into the detection object and receive the reflected echo signals; since the water immersion detection makes the probe not directly contact with the pipeline gasket, the stability of ultrasonic emission and reception is improved, the limitation of the detection probe by the uneven surface is avoided, and the possibility of probe damage is reduced, so the probe can be selected as a water immersion probe.

[0094] Further, the multi-channel ultrasonic detection module is used to send ultrasonic signals to the probe and receive the echo signals reflected by the probe and send the processed echo signals to the PC host computer; the multi-channel ultrasonic detection module comprises an FPGA control unit, a power management unit, a transmitting unit, a receiving unit and a data processing unit; each functional unit realizes the coordinated operation and control management between units through the FPGA chip. The FPGA control unit mainly generates a signal to drive the transmitting circuit and save and output the received data; the power management unit is used to provide the power required by the multi-channel ultrasonic board, including analog domain power and digital domain power; the transmitting unit is used to receive the driving signal of the FPGA control unit and output multi-channel ultrasonic signals; the receiving unit is mainly used to receive the returned echo signals, and the received echo signals are transmitted to the data processing unit through a variable gain amplifier and an anti-aliasing filter; the data processing unit is used to perform A / D conversion on the output signal of the multi-channel receiving unit, generate detection echo data, and transmit the data to the FPGA control unit.

[0095] Further, the network switch is used to connect the PC host computer and the multi-channel ultrasonic detection module, build a local area network, and realize the communication between modules through the local area network.

[0096] ​Further, the PC host computer is configured to send detection instructions, receive and process echo signals, and perform imaging. The PC host computer comprises a file unit, a setting unit, a simulation unit, an imaging unit, and a calibration unit. The file unit is configured to store simulation data, detection data, and files generated after analysis. The setting unit is configured to set various parameters, including workpiece parameters, sampling parameters, pulse parameters, detection modes, and reception damping. The simulation unit is configured to simulate echo signals when the bonding quality of the girth joint is perfect, and the simulated echo signals include an acoustic pressure alarm threshold. The imaging unit is configured to convert detection data into images for display, including A-scan imaging and C-scan imaging. The calibration unit is configured to verify the performance of the probe and the detection module, determine the starting sensitivity of detection, and calibrate scan linearity.

[0097] Further, the water immersion pulse echo method is used to perform A-scan imaging detection on the girth joint to be detected. The girth joint to be detected can be divided into a pipeline layer, a bonding layer, and a corrosion protection layer from the inside to the outside.

[0098] S420, by comparing the detection acoustic pressure amplitude with the first preset acoustic pressure amplitude threshold, it is determined whether the girth joint to be detected has an abnormality.

[0099] S430, according to the medium reflection coefficient, the preset proportion coefficient, and the reference acoustic pressure amplitude, the detection acoustic pressure amplitude of the ultrasonic echo signal at the bonding surface of the girth joint to be detected is determined.

[0100] S440, by comparing the detection acoustic pressure amplitude with the first preset acoustic pressure amplitude threshold, it is determined whether the girth joint to be detected has an abnormality.

[0101] S450, when the girth joint to be detected has an abnormality, the girth joint abnormal position is recorded, and the girth joint abnormal area is determined according to the girth joint abnormal position.

[0102] S460, a coordinate system is established with the geometric center of the array transducer in the ultrasonic probe as the origin.

[0103] In the embodiment, the x-axis is along the length direction of the girth joint, the z-axis is along the height direction of the girth joint, and the y-axis is along the depth direction of the girth joint.

[0104] In the embodiment, Figure 5 A principle diagram of the full-focus imaging method is shown, which comprises an array transducer 501, a girth joint to be detected 502, and a virtual focus point 503. The array transducer is an ultrasonic transducer composed of a plurality of independent array elements arranged in a specific pattern, and each array element can independently transmit and receive ultrasonic waves. Figure 5As shown, the phased array transducer contains M array elements, each array element is sequentially excited to emit ultrasonic waves, when one of the array elements is excited, all other array elements receive ultrasonic echo signals and store them, the excited array element and the receiving array element at a certain time are recorded as i array element and j array element respectively, a coordinate system is established with the geometric center of the array transducer as the origin, the x axis is along the length direction of the girth, the z axis is along the height direction of the girth, and the y axis is along the depth direction of the girth, the positions of the i array element and the j array element in the coordinate system are recorded as (x i ,0) and (x j ,0). The virtual focus point can be understood as adjusting the time delay of the emission and reception of ultrasonic waves by each array element in the array transducer, so that the sound wave signals are superimposed at the point.

[0105] S470, for the same depth, the abnormal plane area corresponding to the girth abnormal area is divided into a plurality of pixel points, the sound pressure amplitude of each pixel point in the plurality of pixel points is calculated, the sound pressure amplitudes corresponding to the plurality of pixel points are normalized and imaged to obtain the detection cross-section girth imaging information corresponding to the current depth.

[0106] In this embodiment, the abnormal plane area corresponding to the girth abnormal area can be understood as the plane area of the girth abnormal area at the same depth, which can be of any shape. Generally, in order to reduce the calculation complexity of imaging, the abnormal plane area is expanded to a minimum circumscribed rectangle. The rectangular area is divided into a plurality of pixel points. Taking the sound pressure amplitude of the pixel point (x, z) in the coordinate system as an example, the sound pressure amplitude of each pixel point is calculated according to formula (9) and formula (10). Each pixel point corresponds to a virtual focus point in the formula (9) and formula (10), and the focusing effect of the ultrasonic wave at the point is simulated by electronic time delay control. The detection cross-section girth imaging information can include the pixel value of each pixel point in the abnormal plane area corresponding to the current depth. For example, the sound pressure amplitude of each pixel point is normalized, and the normalized data is multiplied by 255 to convert to a gray value to obtain the detection cross-section girth imaging information corresponding to the current depth. Figure 5

[0107]

[0108] Wherein, i represents the transmitting array element, j represents the receiving array element, M represents the number of array elements, S ij represents the sound pressure amplitude corresponding to the i-th array element transmission and the j-th array element reception, T ip represents the time taken by the sound wave to propagate from the transmitting array element to the pixel point, T pj represents the time taken by the sound wave to propagate from the pixel point to the receiving array element, and Δt represents the sampling time interval, defined as when the right element is rounded to index, the result of the operation is the value of the index-th component of the left row vector, x i represents the transverse coordinate of the transmitting array element, x​j The x-coordinate represents the receiving array element, and c represents the longitudinal wave velocity of the ultrasonic wave propagating in the test port.

[0109] The above formula compares the discrete signal time acquired by the pixel during transmission from element i and reception from element j with the calculated sound wave propagation time to determine whether the pixel exhibits an anomaly. If T ip +T pj If Δt = , then the sound pressure amplitude corresponding to the acquired data is considered to be caused by a defect at that pixel. All S values ​​are then summed. ij The sound pressure amplitude value is obtained by calculating the sound pressure amplitude value of the pixel; if T ip +T pj If the sound pressure amplitude corresponding to the collected data is 0, then the pixel is considered to be normal.

[0110] S480. Determine the anomaly plane image of the patch based on the patch imaging information of the detected cross section and the patch imaging information of the theoretical cross section.

[0111] The theoretical cross-sectional patch imaging information is obtained by simulation calculation using a simulation unit based on the medium density at the same depth of the patch to be tested when there are no anomalies.

[0112] In this embodiment, the theoretical cross-sectional patch imaging information can be understood as the theoretical pixel value of each pixel in the abnormal plane region corresponding to the current depth when no defect appears. The theoretical pixel value of each pixel is obtained by calculating the theoretical sound pressure amplitude of that pixel and then normalizing it. The patch abnormal plane image can be understood as the image obtained by comparing the theoretical cross-sectional patch imaging information with the detected cross-sectional patch imaging information.

[0113] For example, the theoretical cross-section patch imaging information can be obtained by using a simulation unit to set the medium density corresponding to the same depth of the patch to be tested when there is no anomaly. The theoretical sound pressure amplitude of each pixel in the corresponding area can be calculated according to formulas (1), (2), (3), (9), and (10). The theoretical sound pressure amplitude corresponding to each pixel is normalized and imaged. The difference between the theoretical cross-section patch imaging information and the detection cross-section patch imaging information can be obtained to get the patch anomaly plane image at the current depth.

[0114] S490. Determine the anomaly image of the repair joint to be tested based on the anomaly plane image of the repair joint.

[0115] In this embodiment, the patch abnormality image can be a two-dimensional image or a three-dimensional image. For example, when using an ultrasonic probe to perform C-scan imaging on the patch to be tested, the obtained patch abnormality image is a two-dimensional image.

[0116] Optionally, the girth joint abnormality image of the to-be-tested girth joint is generated according to the girth joint abnormality planar images corresponding to the plurality of different depths, wherein the girth joint abnormality image is a three-dimensional image. In this way, the three-dimensional image of the to-be-tested girth joint is generated, and the abnormality of the to-be-tested girth joint can be more clearly and intuitively reflected.

[0117] In this embodiment, the girth joint abnormality image includes the girth joint abnormality planar images corresponding to the plurality of different depths. For example, the C-scan imaging is performed by the ultrasonic probe along the vertical direction (i.e., the y-axis direction) of the to-be-tested girth joint, the girth joint abnormality planar images corresponding to the plurality of different depths are obtained, and the three-dimensional girth joint abnormality image is obtained by splicing the girth joint abnormality planar images corresponding to the plurality of different depths.

[0118] The girth joint abnormality recognition method provided in the embodiment of the present application can more intuitively reflect the abnormality of the to-be-tested girth joint, and further improve the efficiency and accuracy of girth joint abnormality recognition.

[0119] Embodiment Four

[0120] Figure 6 A structural schematic diagram of a girth joint abnormality recognition device provided in the fourth embodiment of the present application is shown in FIG. 4. As shown in FIG. 4, the device includes a detection sound pressure amplitude determination module 601, a to-be-tested girth joint abnormality detection module 602, a girth joint abnormality region determination module 603, and a girth joint abnormality image generation module 604. Figure 6

[0121] The detection sound pressure amplitude determination module is configured to determine the detection sound pressure amplitude of the ultrasonic echo signal at the bonding surface of the to-be-tested girth joint, wherein the to-be-tested girth joint includes a corrosion-proof layer, a bonding layer, and a pipeline layer.

[0122] The to-be-tested girth joint abnormality detection module is configured to determine whether the to-be-tested girth joint has an abnormality by comparing the detection sound pressure amplitude with the first preset sound pressure amplitude threshold value.

[0123] The girth joint abnormality region determination module is configured to record the girth joint abnormal position of the to-be-tested girth joint when the to-be-tested girth joint has an abnormality, and determine the girth joint abnormality region according to the girth joint abnormal position.

[0124] ​The girth joint abnormality image generation module is configured to generate a girth joint abnormality image corresponding to the girth joint abnormality region by using a full-focus imaging method.

[0125] The girth joint abnormality recognition device provided by the embodiment of the present application solves the problem of low girth joint abnormality recognition efficiency and accuracy, determines whether the girth joint to be measured has an abnormality by comparing the detection sound pressure amplitude value of the ultrasonic echo signal at the bonding surface of the girth joint to be measured with the first preset sound pressure amplitude threshold value, and realizes the abnormality recognition of the girth joint to be measured, wherein the girth joint to be measured includes an anticorrosive layer, a bonding layer and a pipeline layer; when the girth joint to be measured has an abnormality, the girth joint abnormality position of the girth joint to be measured is recorded, the girth joint abnormality region is determined according to the girth joint abnormality position, and the accurate positioning of the girth joint abnormality region of the girth joint to be measured is realized; the girth joint abnormality image corresponding to the girth joint abnormality region is generated by using the full-focus imaging method, so that the abnormality of the girth joint to be measured can be more intuitively represented, the specific position and size of the girth joint abnormality are observed in combination with the image, and the efficiency and accuracy of the girth joint abnormality recognition are improved.

[0126] Optionally, the detection sound pressure amplitude determination module comprises:

[0127] The medium acoustic impedance determination unit is configured to determine the medium acoustic impedance according to the girth joint medium density of the girth joint to be measured and the ultrasonic wave propagation speed in the medium.

[0128] The medium reflection coefficient determination unit is configured to determine the medium reflection coefficient according to the medium acoustic impedance.

[0129] The detection sound pressure amplitude determination unit is configured to determine the detection sound pressure amplitude value of the ultrasonic echo signal at the bonding surface of the girth joint to be measured according to the medium reflection coefficient, a preset proportion coefficient and a reference sound pressure amplitude value.

[0130] Optionally, the device further comprises:

[0131] The threshold value determination module is configured to, before determining whether the girth joint to be measured has an abnormality by comparing the detection sound pressure amplitude value with the first preset sound pressure amplitude threshold value, determine the first simulation sound pressure amplitude value, the second simulation sound pressure amplitude value, the third simulation sound pressure amplitude value and the fourth simulation sound pressure amplitude value of the ultrasonic wave echo signal in the bonding layer by using the simulation unit according to the first preset medium density, the second preset medium density, the third preset medium density and the fourth preset medium density of the bonding layer, wherein the first preset medium density, the second preset medium density and the third preset medium density decrease in turn, and the fourth simulation sound pressure amplitude value is the medium density after the bonding layer falls off; determine the first preset sound pressure amplitude threshold value according to the first simulation sound pressure amplitude value; and determine the second preset sound pressure amplitude threshold value, the third preset sound pressure amplitude threshold value and the fourth preset sound pressure amplitude threshold value according to the second simulation sound pressure amplitude value, the third simulation sound pressure amplitude value and the fourth simulation sound pressure amplitude value, respectively.

[0132] Optionally, the device further comprises:

[0133] an abnormality degree determination module configured to determine the abnormality degree of the to-be-tested gasket by comparing the detected sound pressure amplitude with the second, third and fourth preset sound pressure amplitude thresholds.

[0134] Optionally, the gasket abnormal area determination module comprises:

[0135] a gasket abnormal position determination unit configured to determine the gasket abnormal position at the same depth according to the gasket abnormal position;

[0136] a gasket abnormal shape determination unit configured to determine the gasket abnormal shape at the same depth according to the gasket abnormal position at the same depth;

[0137] a target gasket abnormal shape determination unit configured to align the gasket abnormal shapes at all depths to obtain a target gasket abnormal shape;

[0138] a rectangular gasket abnormal area generation unit configured to determine a region corresponding to the minimum circumscribed rectangle of the target gasket abnormal shape as a gasket abnormal area.

[0139] Optionally, the gasket abnormal image generation module comprises:

[0140] a coordinate system establishment unit configured to establish a coordinate system with the geometric center of an array transducer in an ultrasonic probe as an origin, wherein an x-axis is along a gasket length direction, a z-axis is along a gasket height direction, and a y-axis is along a gasket depth direction;

[0141] a detection cross-sectional gasket imaging information acquisition unit configured to, for the same depth, divide an abnormal plane area corresponding to the gasket abnormal area into a plurality of pixel points, calculate a sound pressure amplitude of each pixel point in the plurality of pixel points, perform normalization processing on the sound pressure amplitudes corresponding to the plurality of pixel points, and image to obtain detection cross-sectional gasket imaging information corresponding to the current depth;

[0142] a gasket abnormal plane image determination unit configured to determine a gasket abnormal plane image according to the detection cross-sectional gasket imaging information and theoretical cross-sectional gasket imaging information, wherein the theoretical cross-sectional gasket imaging information is obtained by simulation calculation of a simulation unit according to a medium density when the same depth of the to-be-tested gasket has no abnormality;

[0143] a gasket abnormal image determination unit configured to determine a gasket abnormal image of the to-be-tested gasket according to the gasket abnormal plane image.

[0144] Optionally, the girth joint abnormal image determination unit is configured to generate a girth joint abnormal image of the girth joint to be tested according to the girth joint abnormal planar images corresponding to the plurality of different depths, wherein the girth joint abnormal image is a three-dimensional image.

[0145] The girth joint abnormality identification device provided by the embodiments of the present application can execute the girth joint abnormality identification method provided by any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0146] Embodiment five

[0147] Figure 7 A structural schematic diagram of an electronic device 700 that can be used to implement embodiments of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0148] As shown in Figure 7 The electronic device 700 includes at least one processor 701, and a memory, such as a read-only memory (ROM) 702, a random access memory (RAM) 703, etc., connected to the at least one processor 701 in communication, wherein the memory stores a computer program executable by the at least one processor. The processor 701 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 702 or the computer program loaded from the storage unit 708 into the random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 can also be stored. The processor 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0149] A plurality of components in the electronic device 700 are connected to the I / O interface 705, including: an input unit 706, such as a key, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a memory card, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the electronic device 700 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunications networks.

[0150] The processor 701 can be various general-purpose and / or special-purpose processing components having processing and computing capabilities. Some examples of the processor 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, and the like. The processor 701 performs various methods and processes described above, such as the grommet anomaly identification method.

[0151] In some embodiments, the grommet anomaly identification method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 708. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded onto the RAM 703 and executed by the processor 701, one or more steps of the grommet anomaly identification method described above can be performed. Alternatively, in other embodiments, the processor 701 can be configured to perform the grommet anomaly identification method by any other appropriate means, such as by means of firmware.

[0152] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0153] Computer programs used to implement the methods of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, and partially on a machine or a remote machine or a server.

[0154] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0155] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0156] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0157] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0158] The embodiment of the present disclosure provides a computer program product, comprising a computer program, which, when executed by a processor, implements the abnormality identification method of the supplementary opening provided by the above-mentioned embodiment.

[0159] It should be understood that the steps can be reordered, added, or deleted using the various forms of flow shown above. For example, each step described in the present application can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, and the present application is not limited herein.

[0160] The above detailed description does not constitute a limitation on the scope of protection of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for identifying patch anomalies, characterized in that, include: The detection sound pressure amplitude of the ultrasonic echo signal at the bonding surface of the joint to be tested is determined, wherein the joint to be tested includes an anti-corrosion layer, a bonding layer, and a pipe layer; By comparing the detected sound pressure amplitude with the first preset sound pressure amplitude threshold, it is determined whether there is an abnormality in the test port; When the patch to be tested is abnormal, the location of the abnormal patch is recorded, and the abnormal patch area is determined based on the location of the abnormal patch. The patching anomaly image corresponding to the patching anomaly region is generated using the full-focus imaging method.

2. The method according to claim 1, characterized in that, The determination of the ultrasonic echo signal detection sound pressure amplitude at the bonding surface of the joint to be tested includes: The acoustic impedance of the medium is determined based on the density of the medium at the test site and the speed of ultrasonic wave propagation in the medium. The reflection coefficient of the medium is determined based on the acoustic impedance of the medium. The detection sound pressure amplitude of the ultrasonic echo signal at the bonding surface of the joint to be tested is determined based on the medium reflection coefficient, the preset proportional coefficient, and the reference sound pressure amplitude.

3. The method according to claim 1, characterized in that, Before determining whether the test port is abnormal by comparing the detected sound pressure amplitude with a first preset sound pressure amplitude threshold, the procedure includes: The simulation unit determines the first, second, third, and fourth simulated sound pressure amplitudes of the ultrasonic echo signal on the adhesive layer based on the first, second, third, and fourth preset medium densities, respectively. The first, second, and third preset medium densities decrease sequentially, and the fourth simulated sound pressure amplitude is the medium density after the adhesive layer detaches. A first preset sound pressure amplitude threshold is determined based on the first simulated sound pressure amplitude. The second preset sound pressure amplitude threshold, the third preset sound pressure amplitude threshold, and the fourth preset sound pressure amplitude threshold are determined based on the second simulated sound pressure amplitude, the third simulated sound pressure amplitude, and the fourth simulated sound pressure amplitude, respectively. The method further includes: The degree of abnormality of the test port is determined by comparing the detected sound pressure amplitude with the second preset sound pressure amplitude threshold, the third preset sound pressure amplitude threshold, and the fourth preset sound pressure amplitude threshold.

4. The method according to claim 1, characterized in that, The step of determining the abnormal patching area based on the abnormal patching location includes: Determine the location of the patching anomaly at the same depth based on the location of the patching anomaly; The shape of the patching anomaly at the same depth is determined based on the location of the patching anomaly at the same depth. Align the patch anomaly shapes at all depths to obtain the target patch anomaly shape; The region corresponding to the smallest bounding rectangle of the target patching anomaly shape is determined as the patching anomaly region.

5. The method according to claim 1, characterized in that, The patching anomaly image corresponding to the patching anomaly region is generated using a full-focus imaging method, including: A coordinate system is established with the geometric center of the array transducer in the ultrasonic probe as the origin, where the x-axis is along the length of the patch, the z-axis is along the height of the patch, and the y-axis is along the depth of the patch. For the same depth, the abnormal plane region corresponding to the patching abnormal region is divided into several pixels. The sound pressure amplitude of each pixel is calculated. The sound pressure amplitude corresponding to the several pixels is normalized and imaged to obtain the patching imaging information of the detection section corresponding to the current depth. The anomaly plane image of the patch is determined based on the patch imaging information of the detected cross section and the patch imaging information of the theoretical cross section. The patch imaging information of the theoretical cross section is obtained by simulation calculation using a simulation unit based on the medium density when there is no anomaly at the same depth of the patch to be tested. The anomaly image of the patch to be tested is determined based on the anomaly planar image of the patch.

6. The method according to claim 5, characterized in that, The step of determining the patch anomaly image of the patch to be tested based on the patch anomaly planar image includes: The patching anomaly image of the patch to be tested is generated based on multiple patching anomaly planar images corresponding to different depths, wherein the patching anomaly image is a three-dimensional image.

7. A patching anomaly identification device, characterized in that, include: The sound pressure amplitude detection module is used to determine the sound pressure amplitude of the ultrasonic echo signal at the bonding surface of the joint to be tested, wherein the joint to be tested includes an anti-corrosion layer, a bonding layer, and a pipe layer; The under-test patch abnormality detection module is used to determine whether there is an abnormality in the under-test patch by comparing the detected sound pressure amplitude with a first preset sound pressure amplitude threshold. The patching abnormality region determination module is used to record the patching abnormality location of the patching under test when the patching under test is abnormal, and determine the patching abnormality region based on the patching abnormality location; The patching anomaly image generation module is used to generate a patching anomaly image corresponding to the patching anomaly region using a full-focus imaging method.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the patching anomaly identification method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the patching anomaly identification method according to any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the patching anomaly identification method according to any one of claims 1-6.

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