A nondestructive testing method for pipeline welding parts

Abstract

The present invention discloses a nondestructive testing method for pipeline welding parts, which relates to the field of nondestructive testing technology. The method comprises: S1: acquiring pipeline welding attribute feature information, and acquiring detection target information and detection environment information at the same time; S2: constructing a nondestructive testing technology list, matching and determining a candidate nondestructive testing technology set; S3: performing detection parameter association analysis on a target pipeline based on the candidate nondestructive testing technology set, determining a candidate nondestructive testing parameter set, and performing priority analysis to obtain nondestructive testing technology priority information; S4: performing multiple nondestructive testing on the welding parts of the target pipeline based on the candidate nondestructive testing parameter set according to the nondestructive testing technology priority information, obtaining a pipeline welding part nondestructive testing information set, and performing cross-validation analysis to generate pipeline welding part nondestructive testing results. The technical effect of nondestructive testing method and automatic parameter setting is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of nondestructive testing, and in particular to a nondestructive testing method for a pipeline welding part. Background Art

[0002] Pipeline welding defects include cracks, lack of fusion, pores, etc., which may cause pipeline leakage or breakage, thus causing serious safety accidents. Nondestructive testing is a non-contact measurement method that can evaluate the strength of the object being tested without destroying it. Commonly used miscalculation detection methods include ultrasonic testing, magnetic particle testing, and X-ray testing. However, in actual nondestructive testing application scenarios, faced with pipeline welding parts with variable characteristics, there are technical problems such as difficulties in selecting nondestructive testing methods and parameters, which affect the accuracy of detection. Summary of the invention

[0003] The present invention provides a nondestructive testing method for pipeline welding parts, so as to solve the technical problems in the prior art that the nondestructive testing method and parameter selection are difficult and affect the detection accuracy, and achieve the technical effect of automatic setting of the nondestructive testing method and parameters.

[0004] The present invention provides a nondestructive testing method for a pipeline welding part, comprising:

[0005] S1: obtaining material property information and welding process information of a target pipeline, classifying and marking the material property information and welding process information to obtain pipeline welding property feature information, and simultaneously obtaining detection target information and detection environment information of the target pipeline;

[0006] S2: construct a nondestructive testing technology list, the nondestructive testing technology list includes a set of applicable welding scenarios for various types of nondestructive testing technologies, and perform nondestructive testing technology matching analysis with the nondestructive testing technology list based on the pipeline welding attribute feature information, the detection target information, and the detection environment information to determine a set of candidate nondestructive testing technologies;

[0007] S3: performing detection parameter association analysis on the target pipeline based on the candidate nondestructive testing technology set, determining a candidate nondestructive testing parameter set, and performing priority analysis on the candidate nondestructive testing technology set to obtain nondestructive testing technology priority information;

[0008] S4: performing multiple nondestructive testing on the welding parts of the target pipeline based on the candidate nondestructive testing parameter set according to the nondestructive testing technology priority information to obtain a pipeline welding part nondestructive testing information set, and performing cross-validation analysis on the pipeline welding part nondestructive testing information set to generate a pipeline welding part nondestructive testing result.

[0009] In this method, a comprehensive analysis and matching algorithm is used to perform matching analysis of nondestructive testing technologies through a list of nondestructive testing technologies, combined with pipeline material property information, welding process information, testing target information, and testing environment information. This comprehensive matching method can more accurately determine the nondestructive testing technology suitable for a specific pipeline, thereby improving the efficiency and accuracy of testing.

[0010] In this method, multiple non-destructive testing technologies are used to test the welding parts of the target pipeline. By combining multiple different types of non-destructive testing technologies, the detection coverage and accuracy of the pipeline welding parts can be improved, thereby more comprehensively evaluating the health status of the pipeline.

[0011] In this method, a cross-validation analysis is performed on the non-destructive testing information set of the pipeline welding parts. By comparing and verifying the results obtained by different non-destructive testing technologies, the credibility and accuracy of the test results can be further improved, and the possibility of errors and missed detection can be reduced.

[0012] In this method, the non-destructive testing technology priority analysis can determine the priority of different non-destructive testing technologies in the testing process according to their applicability and accuracy. This analysis method can make the application order and resource allocation of non-destructive testing technologies more reasonable under limited resources.

[0013] The present invention discloses a nondestructive testing method for pipeline welding parts, including: S1: obtaining material property information and welding process information of a target pipeline, classifying and marking them, obtaining pipeline welding property feature information, and simultaneously obtaining detection target information and detection environment information of the target pipeline; S2: constructing a nondestructive testing technology list, including a set of applicable welding scenarios for various types of nondestructive testing technologies, matching and analyzing the nondestructive testing technology list based on pipeline welding property feature information, detection target information and detection environment information, and determining a candidate nondestructive testing technology set; S3: for the candidate nondestructive testing technology set, performing detection parameter association analysis on the target pipeline, determining a candidate nondestructive testing parameter set, and performing priority analysis to obtain nondestructive testing technology priority information; S4: performing multiple nondestructive testing on the candidate nondestructive testing parameter set according to the nondestructive testing technology priority information, obtaining a set of nondestructive testing information for pipeline welding parts, and performing cross-validation analysis to generate nondestructive testing results for pipeline welding parts. The nondestructive testing method for pipeline welding parts disclosed by the present invention solves the technical problems of difficulty in selecting nondestructive testing methods and parameters and affecting detection accuracy, and realizes the technical effect of automatic setting of nondestructive testing methods and parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic flow chart of a nondestructive testing method for a pipeline welding part according to the present invention;

[0015] Figure 2 The present invention is a schematic diagram of a process for obtaining nondestructive testing technology priority information in a nondestructive testing method for a pipeline welding portion. DETAILED DESCRIPTION

[0016] The technical solution provided in the embodiments of the present invention is to solve the technical problems of the prior art in the difficulty of selecting non-destructive testing methods and parameters, which affects the accuracy of testing. The overall idea adopted is as follows:

[0017] First, the material property information and welding process information of the target pipeline are obtained, classified and marked, and the pipeline welding property feature information is obtained, and the detection target information and detection environment information of the target pipeline are obtained at the same time. Then, a list of non-destructive testing technologies is constructed, including a set of applicable welding scenarios for each type of non-destructive testing technology. Based on the pipeline welding property feature information, detection target information and detection environment information, a matching analysis is performed with the non-destructive testing technology list to determine the candidate non-destructive testing technology set. Then, based on the candidate non-destructive testing technology set, the detection parameter association analysis is performed on the target pipeline respectively to determine the candidate non-destructive testing parameter set, and the candidate non-destructive testing technology set is prioritized to obtain the non-destructive testing technology priority information. Finally, according to the non-destructive testing technology priority information, multiple non-destructive tests are performed on the welding parts of the target pipeline based on the candidate non-destructive testing parameter set to obtain the pipeline welding part non-destructive testing information set, and a cross-validation analysis is performed on it to generate the pipeline welding part non-destructive testing results.

[0018] The above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification to better understand the above technical solution. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments used only to explain the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention are shown in the drawings, rather than all of them.

[0019] Figure 1 The present invention is a flow chart of a nondestructive testing method for a pipeline welding part; wherein, the method comprises:

[0020] S1: obtaining material property information and welding process information of a target pipeline, classifying and marking the material property information and welding process information to obtain pipeline welding property feature information, and simultaneously obtaining detection target information and detection environment information of the target pipeline;

[0021] Optionally, first, data and information on material properties and welding processes related to the target pipeline are collected to generate material property information and welding process information of the target pipeline, wherein the material property data of the target pipeline includes material type, strength, toughness, weld points, weldability, etc.; the welding process data of the target pipeline includes welding method, welding parameters, post-weld processing, etc.

[0022] Specifically, different welding methods are required for target pipelines of different materials. For example, for general steel, general arc welding, gas shielded welding and electron beam welding are mostly used; while for aluminum, gas shielded welding, TIG welding and laser welding are generally used.

[0023] Optionally, classification marking refers to clustering, classifying and marking the acquired material property information and welding process information. By grouping the acquired material property information and welding process information according to similarity and assigning a mark or label to each group or each information point, the target pipeline with property changes is divided into a fixed number of categories, which helps further analysis and processing.

[0024] The pipeline welding property characteristic information refers to the information that can reflect the pipeline welding characteristics, which is generated based on the material property information and the welding process information.

[0025] Furthermore, while obtaining material property information and welding process information, target information and environmental information related to pipeline inspection are also obtained. Among them, target information is the goal of pipeline inspection, such as detecting welding defects, measuring welding dimensions, etc.; environmental information reflects the environmental conditions of pipeline inspection, such as temperature, humidity, light, etc.

[0026] S2: constructing a nondestructive testing technology list, the nondestructive testing technology list including a set of applicable welding scenarios for various types of nondestructive testing technologies, performing nondestructive testing technology matching analysis with the nondestructive testing technology list based on the pipeline welding attribute feature information, the detection target information, and the detection environment information, and determining a set of candidate nondestructive testing technologies;

[0027] Optionally, a nondestructive testing technology list is constructed. First, detailed information of various nondestructive testing technologies is collected, including their principles, equipment requirements, and testing effects. Then, according to the applicable welding scenarios of each nondestructive testing technology, a mapping relationship between welding scenarios and nondestructive testing technologies is established and stored as a nondestructive testing technology list. The nondestructive testing technology list is a collection of multiple nondestructive testing technologies, and each technology corresponds to its applicable welding scenario.

[0028] Optionally, determine the applicable welding scenarios for each nondestructive testing technology, such as thickness, material type, welding method, etc. Specifically, different nondestructive testing technologies have different sensitivities and detection capabilities for different types of welding defects. For example, ultrasonic testing is suitable for detecting defects such as pores and slag inclusions in welds, while magnetic particle testing is more suitable for detecting defects such as surface cracks. In addition, the type and thickness of the material will also affect the choice of nondestructive testing technology. For example, for metal materials, ultrasonic testing, eddy current testing, etc. are usually used; for non-metallic materials, X-ray testing, infrared testing, etc. are used; for thinner pipes, ultrasonic testing, eddy current testing, etc. may be used; for thicker pipes, ray testing, acoustic emission testing, etc. may be used.

[0029] Furthermore, the constraints on the testing location (e.g., pipe wall thickness, pipe diameter, etc.) will also affect the selection of nondestructive testing technology. In actual applications, there may be parts of the pipe that the testing equipment or sensor cannot directly contact or approach.

[0030] Optionally, the pipeline welding attribute feature information, detection target information and detection environment information are compared and analyzed with the non-destructive testing technology list to determine which non-destructive testing technologies are suitable for the current detection task. Specifically, first, the key features of the pipeline welding attribute feature information, detection target information and detection environment information are extracted. Then, these key features are compared with the scene features of the applicable welding scene set of each technology in the non-destructive testing technology list to analyze the degree of matching; finally, based on the results of the matching analysis, the non-destructive testing technology with a higher degree of matching is selected to obtain a set of candidate non-destructive testing technologies. The candidate non-destructive testing technology set refers to a group of non-destructive testing technologies that may be suitable for the current detection task.

[0031] By building a list of various nondestructive testing technologies and matching them with the list of nondestructive testing technologies according to the requirements of the actual testing task, a set of nondestructive testing technologies suitable for the current testing task can be determined. The above method narrows the range of alternative technologies and helps to select the most suitable nondestructive testing technology, thereby improving the efficiency and accuracy of testing.

[0032] S3: performing detection parameter association analysis on the target pipeline based on the candidate nondestructive testing technology set, determining a candidate nondestructive testing parameter set, and performing priority analysis on the candidate nondestructive testing technology set to obtain nondestructive testing technology priority information;

[0033] Optionally, for each technology in the set of candidate nondestructive testing technologies, the correlation between its detection parameters and the characteristics of the target pipeline is analyzed. Specifically, for each candidate nondestructive testing technology, its detection parameters are extracted, such as the frequency, probe type, coupling medium, etc. of ultrasonic testing, or the magnetic field strength, particle size, etc. of magnetic particle testing. Then, association analysis methods, such as covariance and covariance matrix analysis, principal component analysis, scatter plot analysis, etc., are used to obtain the correlation between the detection parameters and the characteristics of the target pipeline material, thickness, detection position constraints, etc. Furthermore, according to the characteristics of each candidate nondestructive testing technology, a set of alternative nondestructive testing parameters is determined to obtain a set of candidate nondestructive testing parameters.

[0034] Among them, the priority information of non-destructive testing technology reflects the detection order of multiple non-destructive testing technologies in the candidate non-destructive testing technology set, which facilitates cross-validation of each detection information obtained through multiple non-destructive testing technologies. Exemplarily, priority analysis of each non-destructive testing technology involves evaluating the performance of each candidate non-destructive testing technology, such as detection accuracy, detection speed, detection cost and other factors, considering the operational convenience of each technology, such as equipment requirements, operational difficulty, etc., and determining the weight of each factor based on the detection requirements and pipeline conditions, comprehensively considering the impact of various factors on different technologies, and determining the priority order of the technologies.

[0035] S4: performing multiple nondestructive testing on the welding parts of the target pipeline based on the candidate nondestructive testing parameter set according to the nondestructive testing technology priority information to obtain a pipeline welding part nondestructive testing information set, and performing cross-validation analysis on the pipeline welding part nondestructive testing information set to generate a pipeline welding part nondestructive testing result.

[0036] Optionally, multiple nondestructive tests are carried out on the target pipeline. First, according to the determined nondestructive testing technology priority information, the nondestructive testing technology with the highest priority applicable to the target pipeline is selected, and the detection parameter set corresponding to the selected technology is called; then, based on the selected nondestructive testing technology and parameter set, multiple nondestructive tests are carried out on the welding parts of the target pipeline to generate a nondestructive testing information set of the pipeline welding parts, wherein the nondestructive testing information set of the pipeline welding parts includes test data or test images for subsequent cross-validation analysis; then, the results obtained by different technologies are compared and verified, and the consistency and differences between different technologies are checked to ensure the accuracy and reliability of the test results; finally, the test results are processed and analyzed based on image processing, data analysis and other methods to obtain the final nondestructive testing results of the pipeline welding parts. Among them, the nondestructive testing results of the pipeline welding parts include qualitative data of quality assessment of the welding parts and quantitative information such as the location, size and type of potential defects.

[0037] Through the above steps, according to the non-destructive testing technology priority information, multiple non-destructive testing is performed on the pipeline welding parts, and the final non-destructive testing results are generated, and the results of multiple non-destructive testing of the target pipeline welding parts are obtained, which improves the accuracy of non-destructive testing and ensures the quality and safety of the pipeline.

[0038] In some embodiments, the pipeline welding property feature information obtained in S1 includes:

[0039] S11: Acquire pipeline welding attribute factor information, wherein the pipeline welding attribute factor information includes material composition, welding process type, welding part structure and welding part strength;

[0040] S12: constructing a pipeline welding database, classifying, evaluating and extracting the pipeline welding database based on the pipeline welding attribute factor information, and obtaining a pipeline welding attribute factor classification node set;

[0041] S13: filling the node content of the pipeline welding attribute factor classification node set based on the pipeline welding database to obtain a welding attribute factor classification node content set;

[0042] S14: performing node coding training on the welding attribute factor classification node content set, constructing a pipeline welding attribute classifier, and using the pipeline welding attribute classifier to classify and mark the material attribute information and welding process information to obtain the pipeline welding attribute feature information.

[0043] Optionally, data extraction is performed through the interactive target pipeline welding task book or design file to obtain pipeline welding attribute factor information. Specifically, it includes collecting pipeline welding material composition information, such as alloy composition, chemical elements, etc.; collecting pipeline welding process type information, such as welding method, welding sequence, etc.; collecting pipeline welding part structure information, such as weld shape, weld size, etc.; collecting pipeline welding part strength information, such as tensile strength, yield strength, etc.

[0044] Optionally, a pipeline welding database is constructed by recording big data of interactive pipeline welding, and then, according to the pipeline welding attribute factor information, the database is classified, evaluated and extracted, and data strings with the same welding attribute factor are connected to the same pipeline welding attribute factor classification node, and each data string can correspond to multiple pipeline welding attribute factor classification nodes to generate a pipeline welding attribute factor classification node set. Among them, the pipeline welding attribute factor classification node set includes specific classification nodes under each attribute factor, for example, the material composition can be mainly divided into metal materials, plastic materials and composite materials.

[0045] Optionally, based on the pipeline welding database, detailed content is filled for each node in the pipeline welding attribute factor classification node set. For example, for the classification nodes related to material composition, the metal material content includes galvanized steel pipes, low carbon steel pipes, stainless steel pipes, etc.

[0046] Optionally, a machine learning method is used to perform node coding training on the set of node content of welding attribute factor classification to construct a pipeline welding attribute classifier. First, node coding is performed on the set of node content of welding attribute factor classification to map the complex node content to the corresponding coding value for subsequent analysis and processing; then, the classifier is trained using the coded data to obtain the pipeline welding attribute classifier, and then the classifier is used to classify the material attribute information and welding process information to obtain the pipeline welding attribute feature information.

[0047] Through the above steps, pipeline welding attribute factor information is obtained, a pipeline welding database is constructed, and the information in the database is classified, evaluated and extracted. Then, a pipeline welding attribute classifier is constructed using machine learning methods to classify and mark material attribute information and welding process information, and finally pipeline welding attribute feature information is obtained, realizing the rapid acquisition of pipeline welding attribute feature information.

[0048] In some embodiments, determining a set of candidate nondestructive testing technologies in S2 includes:

[0049] S21: performing demand analysis on the detection target information to obtain the detection expected items and detection accuracy requirements, performing influencing factor analysis on the detection environment information to obtain nondestructive testing environment influencing parameters;

[0050] S22: using the pipeline welding attribute classifier to classify and integrate the applicable welding scene sets of each type of non-destructive testing technology in the non-destructive testing technology list, to obtain a non-destructive testing technology welding attribute feature list;

[0051] S23: performing a test data search on the non-destructive testing technology welding attribute feature list to obtain a non-destructive testing scenario instance feature data set;

[0052] S24: Based on the pipeline welding property feature information, the expected detection items and detection accuracy requirements, and the non-destructive testing environment influencing parameters, feature matching is performed with the non-destructive testing scenario instance feature data set to determine the candidate non-destructive testing technology set.

[0053] Specifically, determine the set of candidate nondestructive testing technologies, including: demand analysis and influencing factor analysis: first, perform demand analysis on the testing target information, including expected testing items and testing accuracy requirements. For example, the expected testing items include internal defects (hollows, bubbles, etc.), external cracks, minor defects, etc., and the testing accuracy requirements include the minimum detectable defect size, detection sensitivity, etc.; then, perform influencing factor analysis on the testing environment information to obtain nondestructive testing environment influencing parameters, including the working environment, temperature, pressure and other factors of the pipeline.

[0054] Optionally, use the pipeline welding property classifier to classify the technologies in the non-destructive testing technology list, and integrate the applicable welding scene sets of various types of non-destructive testing technologies according to the pipeline welding property feature information to obtain the non-destructive testing technology welding property feature list. By classifying and integrating the technologies in the non-destructive testing technology list, it is possible to better match the testing needs.

[0055] Furthermore, performing detection data retrieval on the non-destructive testing technology welding attribute feature list refers to searching for non-destructive testing data of historically associated scenes to obtain a non-destructive testing scene instance feature data set, wherein the non-destructive testing scene instance feature data set includes multiple sets of non-destructive testing data of historically associated scenes.

[0056] Optionally, based on the pipeline welding attribute feature information, the expected detection items and detection accuracy requirements, and the non-destructive testing environment impact parameters, the non-destructive testing scenario instance feature data set is matched to determine the candidate non-destructive testing technology set. Among them, the candidate non-destructive testing technology set includes multiple non-destructive testing technologies with a high degree of matching.

[0057] Exemplarily, taking pipeline welding property feature information, expected inspection items, inspection accuracy requirements and non-destructive testing environmental impact parameters as indexes and taking non-destructive testing scenario instance feature data set as response parameters, feature matching analysis is performed, and the fit of multiple indicator information is analyzed and calculated respectively; based on preset indicator weights, a fit fusion calculation is performed to obtain the fit of multiple non-destructive testing technologies; and the best non-destructive testing technologies are selected according to their fit to determine a set of candidate non-destructive testing technologies.

[0058] Through this process, the system can determine a set of candidate nondestructive testing technologies that may be suitable for the current testing task based on the analysis of the requirements of the testing target information and the influencing factors of the testing environment information, combined with the pipeline welding attribute feature information. This plays an important role in selecting the most appropriate nondestructive testing technology and improving the testing efficiency and accuracy.

[0059] In some embodiments, determining a candidate nondestructive testing parameter set in S3 includes:

[0060] S31: performing data mining according to the candidate nondestructive testing technology set to construct a nondestructive testing parameter solution space set, wherein the nondestructive testing parameter solution space set includes historical nondestructive testing data of pipeline welding parts;

[0061] S32: using the pipeline welding attribute feature information, the detection target information and the detection environment information as constraint parameters to sequentially perform parameter matching analysis in the non-destructive testing parameter solution space set to obtain a non-destructive testing associated database set for pipeline welding parts;

[0062] S33: performing nondestructive testing effect evaluation fitting based on the nondestructive testing parameter solution space set, and constructing a nondestructive testing effect fitness function set;

[0063] S34: using the non-destructive testing effect fitness function set to evaluate, compare and optimize the pipeline welding part non-destructive testing associated database set, and determine the candidate non-destructive testing parameter set.

[0064] Optionally, data mining is performed based on the set of candidate non-destructive testing technologies to construct a set of non-destructive testing parameter solution spaces, where the set of non-destructive testing parameter solution spaces refers to the applicable detection parameter range of each technology. Specifically, for each candidate non-destructive testing technology, through interactive testing equipment manuals, statistical analysis of historical monitoring records, and extraction of its detection control parameters, such as the frequency, wavelength, scanning speed, pulse repetition frequency, etc. of ultrasonic testing, to construct a set of non-destructive testing parameter solution spaces, including historical non-destructive testing data of pipeline welding parts.

[0065] Optionally, taking pipeline welding attribute feature information, detection target information and detection environment information as constraint conditions, parameter matching analysis is performed in the non-destructive testing parameter solution space set in turn, and the following operations are performed on each group of parameter combinations: matching the constraint parameters with the current parameter combination to determine whether the constraint requirements are met; if the constraint requirements are met, adding the parameter combination to the pipeline welding part non-destructive testing associated database set.

[0066] Furthermore, for each set of nondestructive testing parameters, the nondestructive testing effect evaluation and fitting are performed to obtain the corresponding fitness function, and the set of fitness functions is used to evaluate and compare the set of nondestructive testing related databases for pipeline welding parts. In other words, for each set of nondestructive testing parameter combinations, its fitness value under the fitness function is calculated to evaluate its nondestructive testing effect. Then, according to the results of the evaluation, comparison and optimization, the candidate nondestructive testing parameter set with the best fitness value is determined as the best parameter combination.

[0067] Through this process, data mining is performed based on the candidate nondestructive testing technology set to construct a nondestructive testing parameter solution space set. Then, parameter matching analysis is performed based on the pipeline welding attribute feature information, detection target information, and detection environment information to generate a nondestructive testing association database set. Next, based on the nondestructive testing parameter solution space set, the nondestructive testing effect under different parameter combinations is evaluated, and a set of candidate nondestructive testing parameters is determined as the most appropriate nondestructive testing parameters to improve detection efficiency and accuracy.

[0068] Further, such as Figure 2 As shown, in some implementations, obtaining the nondestructive testing technology priority information in S3 includes:

[0069] Obtaining priority characteristic indicators of non-destructive testing, wherein the priority characteristic indicators of non-destructive testing include applicable items for testing, testing accuracy, and testing complexity;

[0070] According to the non-destructive testing priority characteristic index, a non-destructive testing priority coordinate system is constructed, and the non-destructive testing priority coordinate system is a three-dimensional coordinate system;

[0071] Based on the nondestructive testing priority coordinate system, the candidate nondestructive testing technology sets are evaluated respectively to obtain a nondestructive testing rating feature vector set;

[0072] Based on the modulus of each feature vector in the non-destructive testing rating feature vector set, the candidate non-destructive testing technology set is prioritized to obtain the non-destructive testing technology priority information.

[0073] Specifically, to obtain the priority information of non-destructive testing technology, first, determine the characteristic indicators for evaluating the priority of non-destructive testing technology, including applicable testing items, testing accuracy, and testing complexity. Then, based on the above characteristic indicators, a three-dimensional coordinate system is constructed as the priority coordinate system for non-destructive testing, in which each characteristic indicator corresponds to a coordinate axis. Next, for each non-destructive testing technology, based on its applicable testing items, testing accuracy, and testing complexity, the corresponding position is determined in the priority coordinate system for non-destructive testing to form a set of non-destructive testing rating feature vectors. Then, for each feature vector in the set of non-destructive testing rating feature vectors, its modulus, that is, the length of the vector in space, is calculated. The size of the modulus reflects the comprehensive performance of the non-destructive testing technology under the three indicators and is used to determine the priority. Finally, according to the modulus size of the feature vector, the candidate non-destructive testing technology set is sorted to obtain the priority information of the non-destructive testing technology. Non-destructive testing technologies with high priority are more suitable for use in target scenarios.

[0074] Through the above steps, the priority information of nondestructive testing technology for specific pipeline welding parts can be obtained, which is helpful to select the most suitable nondestructive testing technology for pipeline inspection.

[0075] Further, in some implementations, generating the nondestructive testing results of the pipeline welding parts in S4 includes:

[0076] Cross-validate the non-destructive testing information set of the pipeline welding parts according to the non-destructive testing technology priority information to obtain non-destructive testing difference feature information;

[0077] If the non-destructive testing difference characteristic information exceeds a preset difference threshold, constructing a non-destructive testing credibility assignment rule;

[0078] Based on the non-destructive testing credibility assignment rule, the credibility of the non-destructive testing information set of the pipeline welding part is assigned to obtain the credibility factor information of the non-destructive testing method;

[0079] Based on the credibility factor information of the nondestructive testing method, a weighted calculation is performed on the nondestructive testing information set of the pipeline welding part to generate the nondestructive testing result of the pipeline welding part.

[0080] Optionally, the nondestructive testing information set of the pipeline welding parts is cross-validated according to the priority information of the nondestructive testing technology, that is, different priority testing technologies are used to test the same welding part, and the difference correction is performed based on the priority information to obtain the difference feature information of different nondestructive testing results.

[0081] Furthermore, if the difference feature information of the nondestructive testing results exceeds the preset difference threshold, a credibility assignment rule is constructed. Specifically, the credibility assignment rule is determined according to the actual situation, such as the reliability of the testing technology, the verification of historical data, etc.

[0082] Optionally, based on the credibility assignment rule, the credibility of the non-destructive testing information set of the pipeline welding part is assigned to obtain the credibility factor information of the non-destructive testing method. Among them, the credibility factor reflects the credibility of each non-destructive testing technology.

[0083] Furthermore, based on the credibility factor information, the nondestructive testing information set of the pipeline welding part is weighted and calculated to generate the final nondestructive testing results of the pipeline welding part. In this way, the priority and credibility of different nondestructive testing technologies can be comprehensively considered to obtain the final test results, thereby improving the accuracy and reliability of the test results.

[0084] Furthermore, in some implementations, obtaining the nondestructive testing method credibility factor information includes:

[0085] Acquiring credibility influencing factor information according to the nondestructive testing credibility assignment rule, wherein the credibility influencing factor information includes equipment factors, operation factors, and environmental factors;

[0086] Based on the credibility influencing factor information, each detection information in the pipeline welding part non-destructive detection information set is quantitatively evaluated to obtain a non-destructive detection credibility set;

[0087] Performing accuracy ratio analysis on each detection technology in the candidate non-destructive testing technology set to obtain non-destructive testing technology decision coefficient information;

[0088] The nondestructive testing trustworthiness set is fused and corrected based on the nondestructive testing technology decision coefficient information to obtain the nondestructive testing method credibility factor information.

[0089] Optionally, the non-destructive testing credibility assignment rule includes multiple credibility influencing factors, such as equipment factors, operation factors and environmental factors. Among them, equipment factors include equipment accuracy, stability, calibration, etc. For example, the higher the accuracy of the equipment, the higher the credibility; the better the equipment calibration, the higher the credibility. Operational factors include the experience and skill level of the operator. For example, experienced operators have higher detection credibility. Environmental factors include the temperature, humidity, light, etc. of the detection environment. Testing under harsh environmental conditions may reduce credibility.

[0090] Optionally, based on the influencing factor information, each detection information in the nondestructive detection information set of the pipeline welding part is quantitatively evaluated to obtain a nondestructive detection trustworthiness set. Exemplarily, based on historical detection records or laboratory detection test records, a credibility response curve of multiple credibility influencing factors is obtained by statistical analysis and fitting to describe the influence trend of each influencing factor on the detection credibility. Based on the credibility response curve obtained by fitting, according to the current equipment factors, operating factors and environmental factors, the detection credibility corresponding to each detection information in the nondestructive detection information set of the pipeline welding part is obtained to obtain a nondestructive detection trustworthiness set.

[0091] Furthermore, the accuracy ratio of each nondestructive testing technology in the candidate nondestructive testing technology set is analyzed to obtain the nondestructive testing technology decision coefficient information. Based on the nondestructive testing technology decision coefficient information, the nondestructive testing trustworthiness set is fused and corrected to obtain the nondestructive testing method credibility factor information. Among them, the nondestructive testing information set of the pipeline welding part corresponding to the nondestructive testing technology with a higher accuracy ratio has a higher nondestructive testing technology decision coefficient.

[0092] Through these steps, the nondestructive testing information is quantitatively evaluated and corrected according to the credibility assignment rules to improve the credibility of the nondestructive testing method.

[0093] Furthermore, in some implementations, the method further includes:

[0094] Based on the credibility influencing factor information, scene interference analysis is performed on the non-destructive testing difference feature information to obtain non-destructive testing interference factor parameter information;

[0095] Based on the nondestructive testing interference factor parameter information, the nondestructive testing results of the pipeline welding parts are re-verified and corrected for differences.

[0096] Optionally, in order to further improve the accuracy of the test results, the parameters of the interference factors that affect the test results are analyzed, and the test verification is performed again to correct the differences in the test results. Specifically, first, based on the credibility influencing factor information, the non-destructive testing difference feature information is analyzed for scene interference. This includes considering the impact of equipment factors, operating factors, and environmental factors on the non-destructive testing results. By analyzing these interference factors, the non-destructive testing interference factor parameter information can be obtained. The non-destructive testing interference factor parameter information quantitatively reflects the mapping relationship between the credibility influencing factor information and the non-destructive testing difference feature information.

[0097] Furthermore, based on the obtained nondestructive testing interference factor parameter information, the nondestructive testing results of the pipeline welding parts are re-verified and corrected to improve the accuracy and reliability of the test results. Exemplarily, the nondestructive testing interference factor parameter information is reflected as a mapping model, including a mathematical model based on statistical analysis or a model based on machine learning. By obtaining the real-time credibility influencing factor information value of the target scene, and deducing and mapping according to the nondestructive testing interference factor parameter information, the compensation nondestructive testing difference feature information is obtained, and then the compensation nondestructive testing difference feature information is superimposed on the nondestructive testing results of the pipeline welding parts to perform difference re-verification and correction.

[0098] In summary, the nondestructive testing method for pipeline welding parts provided by the present invention has the following technical effects:

[0099] By obtaining the material property information and welding process information of the target pipeline, classifying and marking the material property information and welding process information, obtaining the pipeline welding property feature information, and obtaining the detection target information and detection environment information of the target pipeline at the same time; constructing a non-destructive testing technology list, which includes a set of applicable welding scenarios for various types of non-destructive testing technologies, and performing non-destructive testing technology matching analysis with the non-destructive testing technology list based on the pipeline welding property feature information, detection target information and detection environment information, and determining the candidate non-destructive testing technology set; performing detection parameter correlation analysis on the target pipeline based on the candidate non-destructive testing technology set, determining the candidate non-destructive testing parameter set, and performing priority analysis on the candidate non-destructive testing technology set to obtain the non-destructive testing technology priority information; performing multiple non-destructive testing on the welding parts of the target pipeline based on the candidate non-destructive testing parameter set according to the non-destructive testing technology priority information, obtaining the pipeline welding part non-destructive testing information set, and performing cross-validation analysis on the pipeline welding part non-destructive testing information set to generate the pipeline welding part non-destructive testing results. The technical effect of automatic setting of non-destructive testing methods and parameters is achieved.

[0100] It should be understood that the embodiments disclosed in the present invention and the above description can enable those skilled in the art to use the present invention to implement the present invention. At the same time, the present invention is not limited to the above-mentioned embodiments. It should be understood that those skilled in the art can still modify the technical solutions recorded in the above-mentioned embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A nondestructive testing method for pipeline welding parts, characterized in that: The method comprises: S1: obtaining material property information and welding process information of a target pipeline, classifying and marking the material property information and welding process information to obtain pipeline welding property feature information, and simultaneously obtaining detection target information and detection environment information of the target pipeline; S2: constructing a nondestructive testing technology list, the nondestructive testing technology list including a set of applicable welding scenarios for various types of nondestructive testing technologies, performing nondestructive testing technology matching analysis with the nondestructive testing technology list based on the pipeline welding attribute feature information, the detection target information, and the detection environment information, and determining a set of candidate nondestructive testing technologies; S3: performing detection parameter association analysis on the target pipeline based on the candidate nondestructive testing technology set, determining a candidate nondestructive testing parameter set, and performing priority analysis on the candidate nondestructive testing technology set to obtain nondestructive testing technology priority information; S4: performing multiple nondestructive testing on the welding parts of the target pipeline based on the candidate nondestructive testing parameter set according to the nondestructive testing technology priority information to obtain a pipeline welding part nondestructive testing information set, and performing cross-validation analysis on the pipeline welding part nondestructive testing information set to generate a pipeline welding part nondestructive testing result; The non-destructive testing technology priority information obtained in S3 includes: Obtaining priority characteristic indicators of non-destructive testing, wherein the priority characteristic indicators of non-destructive testing include applicable items for testing, testing accuracy, and testing complexity; According to the non-destructive testing priority characteristic index, a non-destructive testing priority coordinate system is constructed, and the non-destructive testing priority coordinate system is a three-dimensional coordinate system; Based on the nondestructive testing priority coordinate system, the candidate nondestructive testing technology sets are evaluated respectively to obtain a nondestructive testing rating feature vector set; Based on the modulus of each feature vector in the non-destructive testing rating feature vector set, the candidate non-destructive testing technology set is prioritized to obtain the non-destructive testing technology priority information; The candidate non-destructive testing technology set is determined in S2, including: S21: performing demand analysis on the detection target information to obtain the detection expected items and detection accuracy requirements, performing influencing factor analysis on the detection environment information to obtain nondestructive testing environment influencing parameters; S22: using the pipeline welding attribute classifier to classify and integrate the applicable welding scene sets of each type of non-destructive testing technology in the non-destructive testing technology list, to obtain a non-destructive testing technology welding attribute feature list; S23: performing a test data search on the non-destructive testing technology welding attribute feature list to obtain a non-destructive testing scenario instance feature data set; S24: Based on the pipeline welding property feature information, the expected detection items and detection accuracy requirements, and the non-destructive testing environment impact parameters, feature matching is performed with the non-destructive testing scenario instance feature data set to determine the candidate non-destructive testing technology set; The step S3 determines a candidate nondestructive testing parameter set, including: S31: performing data mining according to the candidate nondestructive testing technology set to construct a nondestructive testing parameter solution space set, wherein the nondestructive testing parameter solution space set includes historical nondestructive testing data of pipeline welding parts; S32: using the pipeline welding attribute feature information, the detection target information and the detection environment information as constraint parameters to sequentially perform parameter matching analysis in the non-destructive testing parameter solution space set to obtain a non-destructive testing associated database set for pipeline welding parts; S33: performing nondestructive testing effect evaluation fitting based on the nondestructive testing parameter solution space set, and constructing a nondestructive testing effect fitness function set; S34: using the non-destructive testing effect fitness function set to evaluate, compare and optimize the pipeline welding part non-destructive testing associated database set, and determine the candidate non-destructive testing parameter set.

2. The method according to claim 1, characterized in that The pipeline welding property characteristic information obtained in S1 includes: S11: Acquire pipeline welding attribute factor information, wherein the pipeline welding attribute factor information includes material composition, welding process type, welding part structure and welding part strength; S12: constructing a pipeline welding database, classifying, evaluating and extracting the pipeline welding database based on the pipeline welding attribute factor information, and obtaining a pipeline welding attribute factor classification node set; S13: filling the node content of the pipeline welding attribute factor classification node set based on the pipeline welding database to obtain a welding attribute factor classification node content set; S14: performing node coding training on the welding attribute factor classification node content set, constructing a pipeline welding attribute classifier, and using the pipeline welding attribute classifier to classify and mark the material attribute information and welding process information to obtain the pipeline welding attribute feature information.

3. The method according to claim 1, characterized in that The nondestructive testing results of the pipeline welding parts generated in S4 include: Cross-validate the non-destructive testing information set of the pipeline welding parts according to the non-destructive testing technology priority information to obtain non-destructive testing difference feature information; If the non-destructive testing difference characteristic information exceeds a preset difference threshold, constructing a non-destructive testing credibility assignment rule; Based on the non-destructive testing credibility assignment rule, the credibility of the non-destructive testing information set of the pipeline welding part is assigned to obtain the credibility factor information of the non-destructive testing method; Based on the credibility factor information of the nondestructive testing method, a weighted calculation is performed on the nondestructive testing information set of the pipeline welding part to generate the nondestructive testing result of the pipeline welding part.

4. The method according to claim 3, characterized in that The obtaining of the nondestructive testing method credibility factor information includes: Acquiring credibility influencing factor information according to the nondestructive testing credibility assignment rule, wherein the credibility influencing factor information includes equipment factors, operation factors, and environmental factors; Based on the credibility influencing factor information, each detection information in the pipeline welding part non-destructive detection information set is quantitatively evaluated to obtain a non-destructive detection credibility set; Performing accuracy ratio analysis on each detection technology in the candidate non-destructive testing technology set to obtain non-destructive testing technology decision coefficient information; The nondestructive testing trustworthiness set is fused and corrected based on the nondestructive testing technology decision coefficient information to obtain the nondestructive testing method credibility factor information.

5. The method according to claim 4, characterized in that The method further comprises: Based on the credibility influencing factor information, scene interference analysis is performed on the non-destructive testing difference feature information to obtain non-destructive testing interference factor parameter information; Based on the nondestructive testing interference factor parameter information, the nondestructive testing results of the pipeline welding parts are re-verified and corrected for differences.

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