Methods, systems, apparatus, and media for interface defects in metallurgical bimetal composite tubes

Abstract

The invention discloses a method, a system, equipment and a medium for detecting interface defects in a metallurgical bimetal composite pipe, and relates to the technical field of pipeline interface defect analysis, and the method comprises the following steps: obtaining a scanning electron microscope picture of the interface defects of a to-be-detected metallurgical bimetal composite pipe; processing the scanning electron microscope photo to obtain a black and white binary photo; according to the black and white binarization photo, obtaining particle size data and original type center coordinate data of the interface defect of the metallurgical bimetal composite pipe to be detected; and obtaining a quantitative analysis result of the particle size and spatial distribution of the interface defect according to the particle size data of the interface defect of the metallurgical bimetal composite pipe to be detected and the original core coordinate data. The method is suitable for analyzing the metallurgical bimetal composite pipe with the interface defect scale of 0-1000 microns, overcomes the defect that the existing nondestructive testing method cannot analyze micron-sized defects, and is lower in cost, simple and easy to implement.

Description

Background Art

[0002] In recent years, due to the increasingly harsh oil and gas development environment, the corrosion damage of oil and gas produced fluids to steel pipelines has become more and more frequent, seriously affecting the efficiency of oil and gas development work, and causing problems such as increased oil and gas development costs and environmental pollution. Based on this, corrosion-resistant alloys are currently mostly used as linings and carbon steels as substrates to prepare bimetallic composite pipes to improve the corrosion resistance of steel pipelines.

[0003] Mechanical bimetallic composite pipes have been widely used due to their simple preparation process and low cost. However, with the extreme service environment of oil and gas transmission pipelines, especially the increase in transmission pressure, problems such as debonding and collapse occur at the interface of mechanical bimetallic composite pipes, resulting in the failure of bimetallic composite pipes. In addition, once debonding occurs at the interface of mechanical composite pipes, it will also accelerate the corrosion failure of the entire pipeline. Especially in oil and gas transmission media with strong corrosivity (such as high hydrogen sulfide and carbon dioxide content), the probability of corrosion failure at the interface of mechanical composite pipes increases significantly.

[0004] The corrosion-resistant alloy of the lining of metallurgical bimetallic composite pipes and the carbon steel substrate are metallurgically combined in the form of high-temperature diffusion, replacing the mechanical riveting of traditional mechanical bimetallic composite pipes, thereby improving the interfacial bonding strength of bimetallic composite pipes. However, high-temperature diffusion will also cause the precipitation of carbide particles on the corrosion-resistant alloy side, forming micron-sized defects such as holes when broken during the rolling process, which cannot be detected by currently commonly used non-destructive testing methods. In addition, during service, the initiation and growth of defects will also accelerate the interfacial debonding of metallurgical bimetallic composite pipes, leading to the failure of the pipe body.

[0005] In summary, there is an urgent need for a method for quantitatively characterizing interface defects in metallurgical bimetallic composite pipes for oil and gas transmission. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a method, system, device and medium for interface defects in metallurgical bimetallic composite pipes in view of the deficiencies of the prior art, so as to solve the problem that the existing non-destructive testing methods cannot detect micron-sized defects in metallurgical bimetallic composite pipes. Specifically as follows:

[0007] 1) In the first aspect, the present invention provides a method, system, device and medium for interface defects in metallurgical bimetallic composite pipes. The specific technical solutions are as follows:

[0008] Obtain a scanning electron microscope photo of the interface defect of the metallurgical bimetallic composite pipe to be tested;

[0009] Process the scanning electron microscope photo to obtain a black and white binary photo;

[0010] According to the black-and-white binary photograph, obtain the particle size data and the original centroid coordinate data of the interface defects of the metallurgical bimetal composite pipe to be measured;

[0011] According to the particle size data and the original centroid coordinate data of the interface defects of the metallurgical bimetal composite pipe to be measured, obtain the quantitative analysis results of the particle size and spatial distribution of the interface defects of the metallurgical bimetal composite pipe to be measured.

[0012] The beneficial effects of a method for interface defects in a metallurgical bimetal composite pipe provided by the present invention are as follows:

[0013] On the one hand, the method of the present invention is suitable for analyzing metallurgical bimetal composite pipes with interface defect scales of 0 μm to 1000 μm, solves the deficiency that current non-destructive testing methods cannot analyze micron-level defects, and fills the domestic blank for analyzing interface defects in the range of 0 μm to 1000 μm; on the other hand, through scanning electron microscope photographs and image analysis techniques, and combined with relevant functions, the intrinsic information of the interface defects and the distribution of this intrinsic information in the interface defects are quantitatively characterized. Compared with professional non-destructive testing equipment, the cost of the present invention is lower and it is simple and easy to implement.

[0014] On the basis of the above solution, a method for interface defects in a metallurgical bimetal composite pipe of the present invention can also be improved as follows.

[0015] Furthermore, it further includes:

[0016] According to the original centroid coordinate data, obtain the K-function values of the interface defects of the metallurgical bimetal composite pipe to be measured under different measurement radius conditions, fit all the K-function values, and draw a K-function curve;

[0017] According to the drawn K-function curve, judge whether the interface defects of the metallurgical bimetal composite pipe to be measured are evenly distributed.

[0018] Furthermore, it further includes: performing statistical analysis on the particle size data of the interface defects of the metallurgical bimetal composite pipe to be measured to obtain the statistical distribution results of the particle size distribution.

[0019] Furthermore, processing the scanning electron microscope photograph to obtain a black-and-white binary photograph, including:

[0020] Perform 8-bit processing, noise reduction processing, and binary processing on the scanning electron microscope photograph in sequence to obtain a black-and-white binary photograph.

[0021] 2) Second aspect, the present invention also provides a system for interface defects in a metallurgical bimetal composite pipe. The specific technical solution is as follows:

[0022] It includes a photograph acquisition module, a photograph processing module, a data acquisition module, and a quantitative analysis result acquisition module;

[0023] The photo acquisition module is used for: acquiring a scanning electron microscope photo of the interface defect of the metallurgical bimetal composite pipe to be measured;

[0024] The photo processing module is used for: processing the scanning electron microscope photo to obtain a black-and-white binary photo;

[0025] The data acquisition module is used for: obtaining the particle size data and the original centroid coordinate data of the interface defect of the metallurgical bimetal composite pipe to be measured according to the black-and-white binary photo;

[0026] The quantitative analysis result acquisition module is used for: obtaining the quantitative analysis result of the particle size and spatial distribution of the interface defect of the metallurgical bimetal composite pipe to be measured according to the particle size data and the original centroid coordinate data of the interface defect of the metallurgical bimetal composite pipe to be measured.

[0027] On the basis of the above solution, a system for interface defects in a metallurgical bimetal composite pipe according to the present invention can also be improved as follows.

[0028] Furthermore, it further includes a fitting judgment module, and the fitting judgment module is used for:

[0029] Obtaining the K function values of the interface defects of the metallurgical bimetal composite pipe to be measured under different measurement radius conditions according to the original centroid coordinate data, fitting all the K function values, and drawing a K function curve;

[0030] Judging whether the interface defects of the metallurgical bimetal composite pipe to be measured are evenly distributed according to the drawn K function curve.

[0031] Furthermore, it further includes a statistical analysis module, and the statistical analysis module is used for:

[0032] Performing statistical analysis on the particle size data of the interface defects of the metallurgical bimetal composite pipe to be measured to obtain the statistical distribution result of the particle size distribution.

[0033] Furthermore, the photo processing module is specifically used for:

[0034] Successively performing 8-bit conversion processing, noise reduction processing and binary conversion processing on the scanning electron microscope photo to obtain a black-and-white binary photo.

[0035] 3) In a third aspect, the present invention further provides a computer device, which includes a processor, the processor is coupled with a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the computer device implements any one of the methods for interface defects in the metallurgical bimetal composite pipe.

[0036] 4) Fourth aspect, the present invention also provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is loaded and executed by a processor to enable a computer to implement the method for interfacial defects in any of the above metallurgical bimetal composite pipes.

[0037] It should be noted that for the beneficial effects obtained by the technical solutions of the second to fourth aspects of the present invention and the corresponding possible implementation manners, reference may be made to the technical effects of the first aspect and its corresponding possible implementation manners described above, and details are not repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] By reading the detailed description of the non-restrictive embodiments with reference to the following drawings, other features, objects, and advantages of the present invention will become more apparent:

[0039] Figure 1 It is a flowchart of a method for interfacial defects in a metallurgical bimetal composite pipe according to an embodiment of the present invention;

[0040] Figure 2 It is a scanning electron microscope photograph of interfacial defects of a metallurgical bimetal composite pipe to be tested with a lining material of 825 nickel-based alloy and a base material of 30CrMoA;

[0041] Figure 3 It is a black-and-white binary photograph of interfacial defects of a metallurgical bimetal composite pipe to be tested with a lining material of 825 nickel-based alloy and a base material of 30CrMoA;

[0042] Figure 4 It is a statistical analysis result of the particle size distribution of interfacial defects of a metallurgical bimetal composite pipe;

[0043] Figure 5 It is a quantitative relationship between the particle size and the spatial distribution of interfacial defects of a metallurgical bimetal composite pipe, where the X-axis and Y-axis represent the positions of the defect centroid coordinates, and the Z-axis represents the particle size of the corresponding defect;

[0044] Figure 6 It is a comparison chart of the K function value of interfacial defects and the K function curve under the condition of uniform distribution;

[0045] Figure 7 It is a structural schematic diagram of a system for interfacial defects in a metallurgical bimetal composite pipe according to an embodiment of the present invention;

[0046] Figure 8 It is a structural schematic diagram of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] To make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0048] As Figure 1 shown, a method for interfacial defects in a metallurgical bimetal composite pipe according to an embodiment of the present invention includes the following steps:

[0049] S1. Obtain a scanning electron microscope photo of the interfacial defects of the metallurgical bimetal composite pipe to be tested. Specifically:

[0050] Use a scanning electron microscope to photograph the microstructure and interfacial defects of the metallurgical bimetal composite pipe to be tested, and obtain a scanning electron microscope photo of the metallurgical bimetal composite pipe to be tested.

[0051] S2. Process the scanning electron microscope photo to obtain a black-and-white binary photo. Specifically:

[0052] Use image processing software to perform 8-bit processing, noise reduction processing, and binary processing on the scanning electron microscope photo in sequence to obtain a black-and-white binary photo. Among them, the interfacial defects of the metallurgical bimetal composite pipe to be tested appear black in the black-and-white binary photo.

[0053] Among them, the image processing software is Image J image processing software.

[0054] S3. According to the black-and-white binary photo, obtain the particle size data and original centroid coordinate data of the interfacial defects of the metallurgical bimetal composite pipe to be tested;

[0055] The particle size data is characterized by calculating the pixel points with a gray value of 0 for each interfacial defect in the metallurgical bimetal composite pipe after binary processing.

[0056] S4. According to the particle size data and original centroid coordinate data of the interfacial defects of the metallurgical bimetal composite pipe to be tested, obtain a quantitative analysis result of the particle size and spatial distribution of the interfacial defects of the metallurgical bimetal composite pipe to be tested. Specifically:

[0057] Combine the original centroid coordinate data with the particle size data to obtain a quantitative analysis result of the particle size and spatial distribution of the interfacial defects of the metallurgical bimetal composite pipe to be tested, and judge the relationship between the interaction of defects and the initiation and growth of defects.

[0058] A method for analyzing interface defects in a metallurgical bimetallic composite pipe provided by the present invention. On the one hand, the method of the present invention is suitable for analyzing metallurgical bimetallic composite pipes with interface defect scales ranging from 0 μm to 1000 μm, solving the deficiency that current non-destructive testing methods cannot analyze micron-level defects, and filling the domestic blank for analyzing interface defects in the range of 0 μm to 1000 μm. On the other hand, through scanning electron microscope photos and image analysis techniques, and combined with relevant functions, the intrinsic information of the interface defects and the distribution of this intrinsic information in the interface defects are quantitatively characterized. Compared with professional non-destructive testing equipment, the cost of the present invention is lower and it is simple and easy to implement.

[0059] Optionally, in the above technical solution, it further includes:

[0060] S5. According to the original centroid coordinate data, obtain the K-function values of the interface defects of the metallurgical bimetallic composite pipe to be measured under different measurement radius conditions, fit all the K-function values, and draw a K-function curve. Specifically:

[0061] Import the original centroid coordinate data of the interface defects of the metallurgical bimetallic composite pipe to be measured into the Matlab program to obtain the K-function values of the interface defects of the metallurgical bimetallic composite pipe to be measured under different measurement radius conditions, fit the K-function values and draw a K-function curve.

[0062] S6. According to the drawn K-function curve, judge whether the interface defects of the metallurgical bimetallic composite pipe to be measured are evenly distributed.

[0063] Compare the drawn K-function curve with the K-function curve under the condition of uniform distribution. If the K-function curve satisfies a smooth quadratic function curve, it means that the interface defects of the metallurgical bimetallic composite pipe to be measured are evenly distributed; otherwise, it means that the interface defects of the metallurgical bimetallic composite pipe to be measured are unevenly distributed. The K-function curve under the condition of uniform distribution can be obtained in advance.

[0064] Among them, the K-function curve under the two-dimensional uniform distribution condition is: K(r) = N v πr 2 , where N v represents the number of interface defects per unit area, and r represents the measurement radius.

[0065] In this embodiment, according to the K-function values under different measurement radii, it is judged whether the interface defects of the metallurgical bimetallic composite pipe to be measured are agglomerated or dispersed, and the analysis of the spatial distribution characteristics of the interface defects of the metallurgical bimetallic composite pipe is completed.

[0066] Optionally, in the above technical solution, it includes:

[0067] S7. Statistically analyze the particle size data of the interface defects of the metallurgical bimetal composite pipe to be measured, and obtain the statistical distribution results of the particle size distribution.

[0068] The following uses another embodiment to illustrate the invention. In this embodiment, the lining material of the metallurgical bimetal composite pipe to be measured is 825 nickel-based alloy, and the base material is 30CrMoA. This embodiment specifically includes:

[0069] S11. Grind the metallographic structure of the metallurgical bimetal composite pipe to be measured with a lining material of 825 nickel-based alloy and a base material of 30CrMoA.

[0070] S12. Use a scanning electron microscope to take a scanning electron microscope photo of the microstructure of the interface defects of the metallurgical bimetal composite pipe to be measured with a lining material of 825 nickel-based alloy and a base material of 30CrMoA, as Figure 2 shown. Figure 2 The shown scanning electron microscope photo is in tif bitmap format, the imaging mode is secondary electron phase imaging, and the acceleration voltage is 30KV. Figure 2 In it, the light gray area represents the 825 nickel-based alloy and 30CrMoA matrix, the dark gray area represents carbide particles, and the black area represents interface defects.

[0071] S13. Use Image J image processing software to perform noise reduction processing and binarization processing on the scanning electron microscope photo based on the interface defects to obtain a black and white binarized photo, as Figure 3 shown.

[0072] S14. Use Image J image processing software to calculate Figure 3 the particle size and original centroid coordinate data of the interface defects of the metallurgical bimetal composite pipe in the shown black and white binarized photo.

[0073] S15. Statistically analyze the particle size of the interface defects of the metallurgical bimetal composite pipe to obtain the statistical distribution results of the particle size distribution, as Figure 4 shown;

[0074] S16. Combine the original centroid coordinate data with the particle size data to obtain the quantitative analysis results of the particle size and spatial distribution, and judge the relationship between the interaction of defects and the initiation and growth of defects, as Figure 5 shown.

[0075] S17. Import the centroid coordinate data of the interface defects of the metallurgical bimetal composite pipe into the Matlab program to obtain the K function values of the interface defects of the metallurgical bimetal composite pipe under different measurement radius conditions, fit the K function values and draw the K function curve.

[0076] S18. Compare the K-function curve with the K-function curve under the condition of uniform distribution. If the K-function curve satisfies being a smooth quadratic function curve, it indicates that the interface defects of the measured metallurgical bimetal composite pipe are evenly distributed; otherwise, it indicates that the interface defects of the measured metallurgical bimetal composite pipe are unevenly distributed. The K-function values of the composite pipe interface defects are as shown by the points in Figure 6 . When the measurement range is 0 - 15 μm, the interface defects show an agglomerated distribution. As the measurement range increases, the K-function decreases, indicating that the interface defects of the metallurgical bimetal composite pipe show an agglomerated distribution near the interface.

[0077] In the above embodiments, although the steps are numbered as S1, S2, etc., these are only specific embodiments given by the present invention. Those skilled in the art can adjust the execution order of S1, S2, etc. according to the actual situation, which is also within the protection scope of the present invention. It can be understood that in some embodiments, it may include some or all of the above embodiments.

[0078] As shown in Figure 7 , a system 200 for interface defects in a metallurgical bimetal composite pipe according to an embodiment of the present invention includes a photo acquisition module 201, a photo processing module 202, a data acquisition module 203, and a quantitative analysis result acquisition module 204;

[0079] The photo acquisition module 201 is configured to: acquire a scanning electron microscope photo of the interface defects of the metallurgical bimetal composite pipe to be measured;

[0080] The photo processing module 202 is configured to: process the scanning electron microscope photo to obtain a black-and-white binary photo;

[0081] The data acquisition module 203 is configured to: acquire the particle size data and the original centroid coordinate data of the interface defects of the metallurgical bimetal composite pipe to be measured according to the black-and-white binary photo;

[0082] The quantitative analysis result acquisition module 204 is configured to: obtain the quantitative analysis result of the particle size and spatial distribution of the interface defects of the metallurgical bimetal composite pipe to be measured according to the particle size data and the original centroid coordinate data of the interface defects of the metallurgical bimetal composite pipe to be measured.

[0083] Optionally, in the above technical solution, it further includes a fitting judgment module, and the fitting judgment module is configured to:

[0084] According to the original centroid coordinate data, obtain the K-function values of the interface defects of the metallurgical bimetal composite pipe to be measured under different measurement radius conditions, fit all the K-function values, and draw a K-function curve;

[0085] According to the drawn K-function curve, judge whether the interface defects of the metallurgical bimetal composite pipe to be measured are evenly distributed.

[0086] Optionally, in the above technical solution, it further includes a statistical analysis module, and the statistical analysis module is used for:

[0087] Performing statistical analysis on the particle size data of the interface defects of the metallurgical bimetal composite pipe to be measured, and obtaining the statistical distribution result of the particle size distribution.

[0088] Optionally, in the above technical solution, the photo processing module 202 is specifically used for:

[0089] Performing 8-bit conversion processing, noise reduction processing, and binarization processing on the scanning electron microscope photo in sequence to obtain a black and white binary photo.

[0090] It should be noted that the beneficial effects of the system 200 for interface defects in a metallurgical bimetal composite pipe provided in the above embodiment are the same as those of the method for interface defects in a metallurgical bimetal composite pipe, which will not be elaborated here. In addition, when the system provided in the above embodiment realizes its functions, only the above-mentioned division of each functional module is used for illustration. In actual application, the above functions can be allocated to different functional modules according to needs, that is, the system is divided into different functional modules according to the actual situation to complete all or part of the functions described above. In addition, the system provided in the above embodiment and the method embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0091] As Figure 8 shown, a computer device 300 according to an embodiment of the present invention, the computer device 300 includes a processor 320, the processor 320 is coupled to a memory 310, and at least one computer program 330 is stored in the memory 310. The at least one computer program 330 is loaded and executed by the processor 320 so that the computer device 300 implements any one of the methods for interface defects in a metallurgical bimetal composite pipe. Specifically:

[0092] The computer device 300 may have relatively large differences due to configuration or performance, and may include one or more processors 320 (Central Processing Units, CPUs) and one or more memories 310. Among them, at least one computer program 330 is stored in the one or more memories 310, and the at least one computer program 330 is loaded and executed by the one or more processors 320 so that the computer device 300 implements any one of the methods for interface defects in a metallurgical bimetal composite pipe provided in the above embodiment. Of course, the computer device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input / output interface for input and output. The computer device 300 may further include other components for implementing the functions of the device, which will not be elaborated here.

[0093] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor to enable a computer to implement the method for interfacial defects in any one of the above metallurgical bimetal composite pipes.

[0094] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0095] In an exemplary embodiment, there is also provided a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to enable the computer device to execute the method for interfacial defects in any one of the above metallurgical bimetal composite pipes.

[0096] It should be noted that the terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, rather than to limit a specific order or sequence. In appropriate cases, the order of use of similar objects can be interchanged so that the embodiments of the present application described herein can be implemented in an order other than the illustrated or described order.

[0097] Those skilled in the art of the present technology know that the present invention can be implemented as a system, a method, or a computer program product. Therefore, the present invention can be specifically implemented in the following forms: it can be completely hardware, can also be completely software (including firmware, resident software, microcode, etc.), and can also be a combination of hardware and software, generally referred to as "circuit", "module", or "system" in this article. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable media contains computer-readable program code.

[0098] Any combination of one or more computer-readable media may be employed. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, 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. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program which can be used by or in connection with an instruction execution system, apparatus, or device.

[0099] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art may make variations, modifications, substitutions, and alterations within the scope of the present invention.

Claims

1. A method for interfacial defects in a metallurgical bimetal composite pipe, characterized in that, Including: Obtaining a scanning electron microscope photo of the interface defect of the metallurgical bimetal composite pipe to be measured; Processing the scanning electron microscope photo to obtain a black-and-white binary photo; According to the black-and-white binary photo, obtaining the particle size data and the original centroid coordinate data of the interface defect of the metallurgical bimetal composite pipe to be measured; According to the particle size data and the original centroid coordinate data of the interface defect of the metallurgical bimetal composite pipe to be measured, obtaining the quantitative analysis result of the particle size and spatial distribution of the interface defect of the metallurgical bimetal composite pipe to be measured.

2. A method for interfacial defects in a metallurgical bimetal composite pipe according to claim 1, characterized in that, Also including: According to the original centroid coordinate data, obtaining the K function values of the interface defect of the metallurgical bimetal composite pipe to be measured under different measurement radius conditions, fitting all the K function values, and drawing a K function curve; According to the drawn K function curve, judging whether the interface defects of the metallurgical bimetal composite pipe to be measured are evenly distributed.

3. A method for interfacial defects in a metallurgical bimetallic composite pipe according to claim 1 or 2, characterized in that Also including: Performing statistical analysis on the particle size data of the interface defect of the metallurgical bimetal composite pipe to be measured to obtain the statistical distribution result of the particle size distribution.

4. A method for interfacial defects in a metallurgical bimetal composite pipe according to claim 1 or 2, characterized in that, Processing the scanning electron microscope photo to obtain a black-and-white binary photo, including: Successively performing 8-bit processing, noise reduction processing and binary processing on the scanning electron microscope photo to obtain the black-and-white binary photo.

5. A system for interfacial defects in a metallurgical bimetallic composite pipe, characterized in that, Including a photo acquisition module, a photo processing module, a data acquisition module and a quantitative analysis result acquisition module; The photo acquisition module is used for: obtaining a scanning electron microscope photo of the interface defect of the metallurgical bimetal composite pipe to be measured; The photo processing module is used for: processing the scanning electron microscope photo to obtain a black-and-white binary photo; The data acquisition module is used for: according to the black-and-white binary photo, obtaining the particle size data and the original centroid coordinate data of the interface defect of the metallurgical bimetal composite pipe to be measured; The quantitative analysis result acquisition module is used for: according to the particle size data and the original centroid coordinate data of the interface defect of the metallurgical bimetal composite pipe to be measured, obtaining the quantitative analysis result of the particle size and spatial distribution of the interface defect of the metallurgical bimetal composite pipe to be measured.

6. The system for interfacial defects in a metallurgical bimetal composite pipe according to claim 5, characterized in that, Also including a fitting judgment module, the fitting judgment module is used for: According to the original centroid coordinate data, obtaining the K function values of the interface defect of the metallurgical bimetal composite pipe to be measured under different measurement radius conditions, fitting all the K function values, and drawing a K function curve; According to the drawn K function curve, judging whether the interface defects of the metallurgical bimetal composite pipe to be measured are evenly distributed.

7. A system for interfacial defects in a metallurgical bimetal composite pipe according to claim 5 or 6, characterized in that, Also including a statistical analysis module, the statistical analysis module is used for: Performing statistical analysis on the particle size data of the interface defect of the metallurgical bimetal composite pipe to be measured to obtain the statistical distribution result of the particle size distribution.

8. A system for interfacial defects in a metallurgical bimetallic composite pipe according to claim 5 or 6, characterized in that, The photo processing module is specifically used for: Successively performing 8-bit processing, noise reduction processing and binary processing on the scanning electron microscope photo to obtain the black-and-white binary photo.

9. A computer device, characterized in that, The computer device includes a processor, the processor is coupled to a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the computer device implements a method for interfacial defects in a metallurgical bimetallic composite pipe as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, At least one computer program is stored in the computer-readable storage medium. The at least one computer program is loaded and executed by a processor so that a computer implements a method for interfacial defects in a metallurgical bimetallic composite pipe as described in any one of claims 1 to 4.

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