Method, system, medium and device for evaluating the vulnerability of girth welds in a pipeline under a ditching process
By acquiring the index dataset and mathematical model of the pipeline laying process, and combining it with decision tree analysis of personnel factor weights, the vulnerability of circumferential welds is evaluated using a single-objective optimization method. This solves the problem of circumferential weld vulnerability during pipeline laying, optimizes the performance of newly built pipelines, and supports the management of in-service pipelines.
Patent Information
- Application Number
- CN202311004002.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-10
- Publication Date
- 2025-12-16
- Estimated Expiration
- 2043-08-10
AI Technical Summary
Existing technologies are insufficient to effectively assess the vulnerability of circumferential welds during pipeline installation in trenches, thus affecting pipeline safety.
By acquiring the index dataset corresponding to the trenching method of the pipeline to be analyzed, the mathematical model between the basic parameter index factors and the weld stress is determined. The influence of human factors on the vulnerability of the circumferential weld is analyzed using the decision tree method. The objective function is formed by combining the mathematical model and the weight of human factors. The standard solution set of vulnerability is solved using the single objective optimization method. The difference comparison is carried out to evaluate the vulnerability of the weld.
It realizes the vulnerability assessment of circumferential welds during pipeline trenching based on multiple factors, provides a basis for optimizing the performance of circumferential welds in newly built pipelines, reduces the probability of circumferential weld failure, and supports the integrity management of circumferential welds in in-service pipelines.
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Figure CN116894162B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of oil and gas pipeline integrity management and risk assessment, and particularly relates to a pipeline trenching process girth weld vulnerability evaluation method, system, medium and equipment. BACKGROUND
[0002] Due to the irreplaceability of pipeline transportation, how to effectively manage it is a hot issue in the safety field, and girth weld safety is usually the focus of oil and gas pipeline safety problem research.
[0003] Girth weld quality problems often originate from improper construction during the construction period, and the pipeline trenching process has a great influence on the weld performance, therefore, there is an urgent need for a scheme capable of evaluating the girth weld vulnerability during the pipeline trenching process. SUMMARY
[0004] The technical problem to be solved by the present application is to provide a pipeline trenching process girth weld vulnerability evaluation method, system, medium and equipment to solve the problems in the prior art.
[0005] To solve the above technical problems, the present application provides a pipeline trenching process girth weld vulnerability evaluation method, comprising: obtaining an index data set corresponding to the trenching mode of the pipeline to be analyzed; determining a mathematical model between the basic parameter index factors corresponding to the trenching mode of the pipeline to be analyzed and the weld stress; using a decision tree method to analyze the influence of personnel factors on the girth weld vulnerability during the pipeline trenching process, and determining the influence weight of personnel factors; combining the influence weight of personnel factors with the mathematical model to form a target function for girth weld vulnerability evaluation during the pipeline trenching process; solving the target function based on a single-objective optimization method to obtain a standard solution set of vulnerability, and differentiating and comparing the standard solution set of vulnerability with the index data set to realize girth weld vulnerability evaluation.
[0006] To solve the above technical problems, the present application also provides a pipeline trenching process girth weld vulnerability evaluation system, comprising:
[0007] A data acquisition module is configured to obtain an index data set corresponding to the trenching mode of the pipeline to be analyzed, and a model determination module is configured to determine a mathematical model between the basic parameter index factors corresponding to the trenching mode of the pipeline to be analyzed and the weld stress;
[0008] A weight determination module is configured to use a decision tree method to analyze the influence of personnel factors on the girth weld vulnerability during the pipeline trenching process, and determine the influence weight of personnel factors;
[0009] A target function determination module is configured to combine the influence weight of personnel factors with the mathematical model to form a target function for girth weld vulnerability evaluation during the pipeline trenching process;
[0010] a standard solution set solving module, configured to solve the target function based on a single-target optimization method, and obtain a standard solution set of the vulnerability;
[0011] an evaluation analysis module, configured to compare the standard solution set of the vulnerability with the index data set, and realize the evaluation of the weld vulnerability.
[0012] To solve the above technical problems, the present application further provides a computer readable storage medium, comprising instructions, which, when executed on a computer, cause the computer to perform the pipeline trenching process girth weld vulnerability evaluation method provided in the above technical solution.
[0013] To solve the above technical problems, the present application further provides a computing device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the pipeline trenching process girth weld vulnerability evaluation method provided in the above technical solution when executing the program.
[0014] The present application has the following beneficial effects: the evaluation indexes of the girth weld vulnerability evaluation index system are determined according to the trenching mode of the pipeline to be analyzed, and data is collected according to the evaluation indexes; a mathematical model between the basic parameter index factors and the weld stress is determined based on the trenching mode, the influence weight of the personnel factors is determined based on the decision tree mode, the mathematical model and the personnel influence factors are combined, the target function of the pipeline trenching process girth weld vulnerability evaluation is obtained, the standard solution set of the vulnerability is obtained by solving the target function, and the vulnerability of the pipeline trenching process is judged according to the difference between the data in the index data set and the standard solution set of the vulnerability.
[0015] The target function of the present application integrates the basic parameter indexes and the personnel factor indexes affecting the weld vulnerability, considers multiple factors and studies the pipeline trenching process from the perspective of systematology, analyzes the correlation between the key indexes of the trenching process and the girth weld quality, realizes the girth weld vulnerability evaluation of the pipeline trenching process, provides a basis for the performance optimization of the girth weld of the newly built pipeline and the reduction of the girth weld failure probability, realizes the welding data based on the construction period, and provides data support for the integrity management of the girth weld of the in-service pipeline.
[0016] The additional aspects of the present application and their advantages will be partially given in the following description, partially will become obvious from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF DRAWINGS
[0017] Figure 1 A pipeline trenching process girth weld vulnerability evaluation method flowchart provided for an embodiment of the present application is shown in the figure;
[0018] Figure 2 A pipeline trenching process girth weld vulnerability evaluation method flowchart provided for another embodiment of the present application is shown in the figure;
[0019] Figure 3 A flow chart of a process for solving a target function by the NSGA-II method is provided for the embodiment of the present application.
[0020] Figure 4 A pipeline under ditch vulnerability evaluation index system diagram is provided for the embodiment of the present application. DETAILED DESCRIPTION
[0021] The following describes embodiments of the present disclosure through specific, concrete examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the content disclosed in the specification. Obviously, the described embodiments are only some of the embodiments of the present disclosure, not all. The present disclosure can also be implemented or applied by other different specific embodiments, and various modifications or changes can be made to the details in the specification based on different views and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present disclosure.
[0022] It should be noted that the various aspects of the embodiments described below are within the scope of the appended claims. It should be apparent that the aspects described herein can be embodied in a wide variety of forms and that any specific structure and / or function described herein is merely illustrative. Based on the disclosure provided, one skilled in the art should appreciate that an aspect described herein can be implemented independently of any other aspects and that two or more of these aspects can be combined in various ways. For example, an apparatus can be implemented or a method can be practiced using any number of the aspects described herein. In addition, such an apparatus can be implemented or such a method can be practiced using other structure and / or functionality in addition to or other than one or more of the aspects described herein.
[0023] The pipeline under ditch process ring weld vulnerability evaluation method provided by the embodiment of the present application is a vulnerability evaluation method for the failure risk of the oil and gas pipeline ring weld, which is suitable for the integrity management, risk evaluation and maintenance decision of the oil and gas pipeline ring weld.
[0024] The failure mechanism of the girth weld is relatively complex, and is often caused by the interaction of factors such as defects, load, strength matching, weld geometry and residual stress, and there is also mutual influence between the factors. Therefore, the embodiment of the present application studies the influence of the ditching process on the weld performance, studies the ditching process from the perspective of systematology, analyzes the correlation between the key indicators of the ditching process and the performance of the girth weld, finds a girth weld vulnerability evaluation method in the pipeline ditching stage, and provides data support for the integrity management of the in-service pipeline and the risk control of the newly-built pipeline.
[0025] Figure 1 A girth weld vulnerability evaluation method flowchart for the pipeline ditching process is provided for the embodiment of the present application. As shown in Figure 1 , the method comprises:
[0026] S1, obtaining an index data set corresponding to the ditching mode of the pipeline to be analyzed, wherein the index data set can include basic parameter index data and personnel factor index data.
[0027] Specifically, a girth weld vulnerability evaluation index system is established according to the ditching mode of the pipeline to be analyzed, and the evaluation indexes of the girth weld vulnerability evaluation index system are determined; the relevant data of each girth weld of the pipeline section to be analyzed is collected according to the evaluation indexes, and then the index data set including the basic parameter index data and the personnel factor index data is obtained.
[0028] After obtaining the index data set, the index data of each weld of the pipeline to be analyzed in the index data set is aligned and integrated, and is subjected to regularization processing.
[0029] S2, determining a mathematical model between the basic parameter index factors corresponding to the ditching mode of the pipeline to be analyzed and the weld stress.
[0030] In the embodiment of the present application, the mathematical model between the ditching process influencing factors corresponding to the ditching mode and the weld stress can be fitted through investigation or experimental method.
[0031] S3, using a decision tree method to analyze the influence of personnel factors on the girth weld vulnerability of the pipeline ditching process, and determining the influence weight of the personnel factors.
[0032] S4, combining the influence weight of the personnel factors with the mathematical model to form a target function of the girth weld vulnerability evaluation of the pipeline ditching process.
[0033] S5, solving the target function based on a single-objective optimization method to obtain a vulnerability standard solution set;
[0034] S6, differentiating and comparing the vulnerability standard solution set with the index data set to realize the vulnerability evaluation of the weld to be evaluated.
[0035] The embodiment of the present application determines the evaluation indexes of the girth weld vulnerability evaluation index system according to the trenching mode of the pipeline to be analyzed, and collects data according to the evaluation indexes; determines the mathematical model between the basic parameter index factors and the weld stress based on the trenching mode, determines the influence weight of the personnel factors based on the decision tree mode, combines the mathematical model and the personnel influence factors, obtains the objective function of the girth weld vulnerability evaluation in the pipeline trenching process, and obtains the vulnerability standard solution set by solving the objective function, and judges the vulnerability of the pipeline trenching process according to the difference between the data in the index data set and the vulnerability standard solution set.
[0036] In the embodiment of the present application, the objective function combines the basic parameter indexes and the personnel factor indexes affecting the weld vulnerability, considers multiple factors and studies the pipeline trenching process from the perspective of systematology, analyzes the correlation between the key indexes in the trenching process and the girth weld quality, can realize the girth weld vulnerability evaluation in the pipeline trenching process, provides a basis for the performance optimization of the girth weld of the newly-built pipeline and the reduction of the girth weld failure probability, and at the same time realizes the welding data based on the construction period, can provide data support for the girth weld integrity management of the in-service pipeline.
[0037] It should be noted that according to the terrain conditions of the place, there are different ways of pipeline trenching, generally including: pipe sinking trenching and pipe lifting trenching.
[0038] Pipe sinking trenching refers to placing the welded steel pipe at the center line of the pipeline, then excavating the pipe trench along the two sides of the pipeline with two excavators, dumping sand and silt outward, and making the steel pipe naturally sink by using the self-weight of the steel pipe. The basic parameter indexes of the girth weld vulnerability evaluation index of pipe sinking trenching include: pipeline burial depth, pipe diameter, wall thickness, steel grade, pipe trench size and geological conditions.
[0039] Pipe lifting trenching is that the pipe lifting machines with an index of uniform distribution cooperate with each other, lift the pipeline to above the pipe trench together, then unload from the first pipe lifting machine, move forward, and so on, complete the cycle, and finally lift the pipeline into place. The basic parameter indexes of the girth weld vulnerability evaluation index of pipe lifting trenching include: pipeline burial depth, pipe diameter, wall thickness, pipe trench size, number of pipe lifting machines, spacing and tonnage.
[0040] Optionally, when the trenching mode is pipe sinking trenching, the mathematical model formula is as follows:
[0041]
[0042] Wherein, σ maxK is a stress concentration coefficient generated by contact stress, D is the outer diameter of the pipeline, mm, and the value range is 10-16, 12-19, 14-22; q / l is the normalized result of the pipeline self weight and inertia moment, which has no physical meaning, and the value range is 0.2-1.4; h is the ditch depth, m, and the value range is 1-6 m; E is the elastic modulus of the pipeline material, and the value is generally 207000 MPa.
[0043] K is a stress concentration coefficient generated by contact stress, and the value range of K is shown in Table 1.
[0044] Table 1
[0045] t / D K ＜0.02 1.2 ＞0.02 1.05
[0046] It should be noted that in Table 1, D is the pipe diameter, and t is the wall thickness.
[0047] Optionally, when the ditching method is pipe sinking, the target function formula is as follows:
[0048]
[0049] σ' max is the target function when pipe sinking, m1 is the construction unit weight coefficient, and m2 is the supervision unit weight coefficient.
[0050] Optionally, when the ditching method is pipe lifting, the mathematical model formula is as follows:
[0051] S=5.3078+0.1118*D-2.047*t-30.8766*C+2.3655*G-3.5598*L+5.1286*S+30.0149*h+60.6973*H;
[0052] S is the axial force when pipe lifting, D is the pipe diameter, mm, and the value range is 10-16, 12-19, 14-22; t is the wall thickness (mm), and the value range is 14.6-30.8 mm; C is the number of cranes (units), and the value range is 3-8; G is the crane tonnage (tons), and the value range is 70-90 tons; L is the distance between lifting points, m, and the value range is 15-30 m; S is the horizontal moving distance, m, and the value range is 4.06-5.7 m; h is the pipeline burial depth, m, and the value range is 0.8-2 m; H is the actual lifting height, m, and the value range is 0.28-2.48 m.
[0053] When the ditching method is pipe lifting, the target function formula is as follows:
[0054] S' = m1m2(5.3078 + 0.1118*D - 2.047*t - 30.8766*C + 2.3655*G - 3.5598*L + 5.1286*S + 30.0149*h + 60.6973*H);
[0055] 1286*S + 30.0149*h + 60.6973*H);
[0056] Wherein, S' is the target function when the pipe is dug, m1 is the weight coefficient of the construction unit, and m2 is the weight coefficient of the supervision unit.
[0057] For the personnel factor class, the welding quality of different construction units and supervision units is different under the same construction process condition, therefore, the embodiment of the application determines the influence weight of different construction units and supervision units on the pipe digging process by a decision tree analysis method, as a coefficient to form the final evaluation target function, wherein the personnel factor index of the pipe digging welding seam brittleness evaluation index includes: the construction unit index and the supervision unit index.
[0058] Optionally, the influence weight of the personnel factor on the girth welding seam brittleness of the pipe digging process is determined by using a decision tree method, including: calling known personnel factor data and corresponding welding quality evaluation result data in a database to form a real data set; training and testing a decision tree model by using the real data set to obtain a brittleness evaluation model of the welding seam to be tested; forming a data set to be tested based on the personnel factor index data in the index data set, and calculating the weight by using the data set to be tested and the brittleness evaluation model to determine the influence weight of the personnel factor.
[0059] Optionally, a single-objective optimization method is used to solve the target function to obtain a brittleness standard solution set, including: randomly generating parent data in a value space, selecting, crossing and mutating to form child data; merging the parent data and the child data, and performing non-dominated sorting and crowdedness calculation on the merged data; taking the data screened by the non-dominated sorting and crowdedness calculation as new parent data for iteration, and the result obtained under a preset iteration step is the brittleness evaluation standard solution set.
[0060] The embodiment of the application combines the mathematical model obtained by analyzing the quantitative index and the weight obtained by analyzing the non-quantitative index to form a welding seam brittleness evaluation target function of the pipe digging process.
[0061] The embodiment of the application uses a non-dominated genetic algorithm (NSGA-II) to solve the target function, and the obtained solution set is the brittleness evaluation standard solution, the data set to be evaluated is collected according to the index system, and the difference between the data set to be evaluated and the standard solution set is compared, so as to evaluate the welding seam brittleness and identify the key vulnerable points.
[0062] The pipeline ditching process girth weld vulnerability evaluation method provided by the embodiment of the application can find the weld with high vulnerability caused by the ditching process by analyzing the pipeline ditching process girth weld vulnerability during the construction period, provide a basis for the performance optimization of the girth weld of the newly built pipeline, reduce the failure probability of the girth weld, realize the weld data based on the construction period, and provide data support for the integrity management of the girth weld of the in-service pipeline.
[0063] As shown in the figure, in some embodiments, the pipeline ditching process girth weld vulnerability evaluation method comprises: Figure 2
[0064] (1) establishing a pipeline ditching stage girth weld vulnerability evaluation index system;
[0065] (2) for the quantitative index of the ditching method type, fitting the mathematical model between the ditching process influencing factors and the weld stress through investigation or experimental method;
[0066] (3) for the non-quantitative index of the personnel factor type, determining the personnel factor index weight through the decision tree analysis method;
[0067] Specifically, the method for determining the weight of the personnel factor on the weld vulnerability of the ditching process by using the decision tree method is as follows: calling the data related to the welding quality evaluation results of the construction unit and the supervision unit in the database to form a real data set; training and testing the decision tree model by using the real data set to obtain the final vulnerability evaluation model of the weld to be tested; collecting the personnel influencing factor related data of the pipeline ditching construction stage to be tested to form a test data set; and calculating the weight by using the test data set and the trained evaluation model.
[0068] (4) combining the personnel factor influencing weight with the mathematical model to form a ditching process weld vulnerability evaluation objective function;
[0069] (5) solving the objective function by using a single-objective optimization method to obtain a vulnerability standard solution set.
[0070] Specifically, the single-objective optimization method is as follows: generating parent data randomly in the value space, forming child data by selection, crossover and mutation; merging the parent and child data to perform non-dominated sorting and crowding degree calculation, and taking the screened data as new parent data for iteration; and obtaining the result at a suitable iteration step as the vulnerability evaluation standard solution set.
[0071] Specifically, as shown in the figure, the process of solving the objective function by using the NSGA-II method comprises: Figure 3 1) initializing the population;
[0072]
[0073] 2) Determine whether to generate the first generation population, if yes, execute step 3), otherwise execute step 9);
[0074] 3) Evolution number Gen = 2;
[0075] 4) Merge of parent and child individuals (elite strategy);
[0076] 5) Determine whether to generate a new parent population, if yes, execute step 6, otherwise execute step 11);
[0077] 6) Form child data by selection, crossover and mutation;
[0078] 7) Determine whether the evolution number Gen is less than the maximum number, if yes, execute step 8), otherwise end the program;
[0079] 8) Make the evolution number Gen + 1, and return to step 4);
[0080] 9) Perform non-dominated sorting;
[0081] 10) Form child data by selection, crossover and mutation, and return to step 2);
[0082] 11) Perform fast non-dominated sorting;
[0083] 12) Perform crowding degree calculation;
[0084] 13) Select appropriate individuals to form a new parent population, and return to step 5).
[0085] In the embodiment of the present application, the difference comparison is performed between the vulnerability standard solution set and the collected weld data, the weld vulnerability and joint vulnerable points are analyzed, and the weld vulnerability evaluation to be evaluated is realized.
[0086] The embodiment of the present application will be briefly described below in combination with an implementation example.
[0087] In some embodiments, the vulnerability evaluation object is 2049 girth welds of a pipe section of a gas pipeline A station to B station. The implementation steps are as follows:
[0088] (1) Establish a girth weld vulnerability evaluation index system.
[0089] According to the girth weld index system in the trenching stage (as shown in Figure 4 The relevant data of each girth weld of the evaluation object pipeline (pipe section) are collected and sorted in combination with the specific trenching mode.
[0090] According to the construction scheme, the pipe-laying trenching mode is mainly used in this line, so the data are collected according to the pipe-laying trenching vulnerability evaluation index, as shown in Table 2.
[0091] Table 2
[0092] Weld No. Wall Thickness (m) Pipe Diameter (m) Embedment (m) Construction Unit Supervision Unit 1 0.0257 1.422 1.84 A B 2 0.0257 1.422 1.87 A B …… …… …… …… …… …… 2050 0.0257 1.422 3.2 C B …… …… …… …… …… …… 2049 0.0257 1.422 5.2 C D
[0093] In Table 2, the basic parameter index data includes weld number, wall thickness, pipe diameter and embedment depth, and the personnel factor index data includes construction unit and supervision unit.
[0094] (2) For the quantitative index of the down-groove mode, a mathematical model between the down-groove process influencing factors and weld stress is fitted through investigation or experiment.
[0095] According to the indexes in Table 2, the relevant data of each weld of the collected to-be-tested pipeline are aligned, integrated and regularized. The example pipeline adopts down-groove sinking, and the mathematical model is:
[0096]
[0097] (3) The weight of the personnel factor index is determined by the decision tree analysis method.
[0098] According to the indexes in Table 2, the database of known welds is selected for targeted selection to form a real data set with the same indexes, as shown in Table 3. The decision tree model is trained and tested by using the real data set, and the final weld vulnerability evaluation model of the to-be-tested weld is obtained. The weight relationship determined by the Gini coefficient of the personnel factor index output by the evaluation model is the construction unit m1 and the supervision unit m2.
[0099] Table 3
[0100] Weld No. Construction Unit Supervision Unit Whether it is a qualified weld xx-1 A D Yes xx-2 A B Yes …… …… …… …… xx-2850 C D No …… …… …… …… xx-4000 H E No
[0101] (4) The personnel factor influence weight is combined with the mathematical model to form a down-groove process weld vulnerability evaluation objective function:
[0102]
[0103] The single-objective optimization method is used to solve the objective function, and the solution set is compared with the collected weld data to evaluate the weld vulnerability and the key vulnerable point through the differential comparison, so as to realize the to-be-evaluated weld vulnerability evaluation.
[0104] The formula of step 4 and its limit conditions are brought into the NSGA-II algorithm, the Pareto solution set of the above function model is obtained, the index set meeting the solution set is the non-vulnerable weld, and the index set different from the solution set is the vulnerable weld, and the greater the difference, the stronger the vulnerability.
[0105] It should be noted that the welding seam vulnerability and the key vulnerable point are evaluated by differential comparison, specifically, the index solution set in the target function is obtained by the NSGA-II method, the welding seam related indexes in the section to be evaluated are compared with the index solution set, and the welding seam with the minimum square root of the square sum of the differences between the corresponding indexes is the welding seam with the minimum vulnerability. For a welding seam, the evaluation method of the key vulnerable point is to make a difference between the corresponding indexes, and the welding seam with the maximum difference is the key vulnerable point of the welding seam. For example, in a pipe section, the A ring welding seam is a pipe sinking trench, the pipe diameter is 1016mm, the wall thickness is 18.4mm, the buried depth is 10m, the B ring welding seam is a pipe sinking trench, the pipe diameter is 1016mm, the wall thickness is 18.4mm, and the buried depth is 8m, and there is a solution in the standard solution set, that is, the pipe sinking trench, the pipe diameter is 1016mm, the wall thickness is 18.4mm, and the buried depth is 7m, so the A and B ring welding seams have vulnerability, and the vulnerability of the A ring welding seam is higher than that of the B ring welding seam. The key vulnerable point of the A ring welding seam is the buried depth.
[0106] By collecting and evaluating relevant data, the vulnerability of the ring welding seam in the pipe sinking process during the construction period is analyzed, the welding seam with high vulnerability caused by the pipe sinking process is found, the basis for optimizing the performance of the new pipe ring welding seam is provided, the failure probability of the ring welding seam is reduced, and the welding seam data based on the construction period can provide data support for the integrity management of the in-service pipe ring welding seam.
[0107] The embodiment of the present application also provides a pipe sinking process ring welding seam vulnerability evaluation system, which comprises a data acquisition module, a model determination module, a weight determination module, a target function determination module, a standard solution set solving module and an evaluation analysis module.
[0108] The data acquisition module is used to acquire the index data set corresponding to the pipe sinking mode of the pipe to be analyzed, the model determination module is used to determine the mathematical model between the basic parameter index factor and the welding seam stress corresponding to the pipe sinking mode of the pipe to be analyzed, the weight determination module is used to analyze the influence of the personnel factor on the vulnerability of the pipe sinking process ring welding seam by using the decision tree method, and the influence weight of the personnel factor is determined, the target function determination module is used to combine the influence weight of the personnel factor with the mathematical model to form the target function of the pipe sinking process ring welding seam vulnerability evaluation, and the evaluation module is used to solve the target function based on the single-target optimization method, obtain the vulnerability standard solution set, and perform differential comparison between the vulnerability standard solution set and the index data set to realize the vulnerability evaluation of the welding seam to be evaluated.
[0109] The embodiment of the present application also provides a computer readable storage medium, which comprises instructions, when the instructions run on the computer, the computer executes the pipe sinking process ring welding seam vulnerability evaluation method provided by the above-mentioned embodiment.
[0110] The embodiment of the present application also provides a computing device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the pipeline under ditch process ring weld vulnerability evaluation method provided by the above embodiment when executing the program.
[0111] The embodiment of the present application forms the ditching stage weld vulnerability evaluation index by analyzing the pipeline under ditch process during the construction period of the long oil and gas pipeline, realizes the artificial factor index weight calculation by combining machine learning (decision tree analysis method), forms the pipeline ditching vulnerability evaluation objective function by combining the existing ditching process stress influence factor research results, solves the function by using the non-dominated genetic algorithm NSGA-II, evaluates the pipeline under ditch process ring weld vulnerability according to the obtained result, and obtains the pipeline system ring weld vulnerability caused by the ditching process, so as to provide the pipeline ditching stage weld performance data for the construction period pipeline management.
[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device and unit can refer to the corresponding process in the foregoing method embodiment, and will not be described here.
[0113] In several embodiments provided in the present application, it should be understood that the disclosed device and method can be implemented by other ways. For example, the device embodiment described above is only schematic, for example, the division of the unit is only a logical function division, and actual implementation can have another division mode, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed.
[0114] The unit described as a separate component can be or can not be physically separated, and the component displayed as a unit can be or can not be a physical unit, that is, can be located in one place, or can be distributed to a plurality of network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment of the present application.
[0115] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.
[0116] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art, or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.
[0117] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims
1. A method for evaluating the vulnerability of circumferential welds during pipeline installation in trenches, characterized in that, include: Obtain the indicator dataset corresponding to the ditching method of the pipeline to be analyzed; Determine the mathematical model between the basic parameter index factors and weld stress corresponding to the trenching method of the pipeline to be analyzed; The influence of human factors on the vulnerability of circumferential welds during pipeline laying was analyzed using the decision tree method, and the influence weight of human factors was determined. The influence weights of the personnel factors are combined with the mathematical model to form the objective function for evaluating the vulnerability of the circumferential weld during the pipeline trenching process. The objective function is solved using a single-objective optimization method to obtain the standard set of vulnerability solutions; The vulnerability standard solution set is compared with the index dataset to achieve the vulnerability assessment of the weld to be evaluated.
2. The method for evaluating the vulnerability of circumferential welds during pipeline trenching as described in claim 1, characterized in that, When the trenching method is immersed tube trenching, the mathematical model formula is as follows: Where K is the stress concentration factor caused by contact stress, D is the outer diameter of the pipe in mm, q / I is the normalized result of the pipe's self-weight and moment of inertia, which has no physical meaning, h is the trench depth in m, and E is the elastic modulus of the pipe material.
3. The method for evaluating the vulnerability of circumferential welds during pipeline trenching as described in claim 2, characterized in that, When the trenching method is immersed tube trenching, the objective function formula is as follows: Where m1 is the weighting coefficient of the construction unit and m2 is the weighting coefficient of the supervision unit.
4. The method for evaluating the vulnerability of circumferential welds during pipeline trenching as described in claim 1, characterized in that, When the trench lowering method is pipe lowering, the mathematical model formula is as follows: S=5.3078+0.1118*D-2.047*t-30.8766*C+2.3655*G-3.5598*L+5.1286*S+30.0149*h+60.6973*H; Where: D is the pipe diameter (mm), t is the wall thickness (mm), C is the number of cranes (units), G is the crane tonnage (tons), L is the distance between lifting points (m), S is the horizontal movement distance (m), h is the pipe burial depth (m), and H is the actual lifting height (m).
5. The method for evaluating the vulnerability of circumferential welds during pipeline trenching as described in claim 4, characterized in that, When the trench lowering method is pipe lowering, the objective function formula is as follows: S'=m1m2(5.3078+0.1118*D-2.047*t-30.8766*C+2.3655*G-3.5598*L+5. 1286*S+30.0149*h+60.6973*H); Where m1 is the weighting coefficient of the construction unit and m2 is the weighting coefficient of the supervision unit.
6. The method for evaluating the vulnerability of circumferential welds during pipeline trenching according to any one of claims 1 to 5, characterized in that, The method of using decision trees to analyze the impact of human factors on the vulnerability of circumferential welds during pipeline trenching, and determining the weight of human factors, includes: A real dataset is formed by calling known personnel factor data from the database and the corresponding weld quality evaluation results; The decision tree model was trained and tested using the real dataset to obtain the final vulnerability evaluation model for the weld to be tested. A test dataset is formed based on the personnel factor index data in the aforementioned index dataset. Weights are then calculated using the test dataset and the vulnerability assessment model to determine the influence weights of personnel factors.
7. The method for evaluating the vulnerability of circumferential welds during pipeline trenching according to any one of claims 1 to 5, characterized in that, The step of solving the objective function using a single-objective optimization method to obtain the standard set of vulnerability solutions includes: Parent data is randomly generated within the value space, and child data is formed through selection, crossover, and mutation. Merge the parent and child data, and perform non-dominated sorting and crowding calculation on the merged data; The data that has been filtered by non-dominated sorting and crowding calculation is used as the new parent data for iteration. The result obtained under the preset iteration steps is the vulnerability assessment standard solution set.
8. A system for evaluating the vulnerability of circumferential welds during pipeline installation in trenches, characterized in that, include: The data acquisition module is used to acquire the index dataset corresponding to the trenching method of the pipeline to be analyzed; the model determination module is used to determine the mathematical model between the basic parameter index factors and the weld stress corresponding to the trenching method of the pipeline to be analyzed. The weight determination module is used to analyze the impact of human factors on the vulnerability of circumferential welds during the pipeline trenching process using the decision tree method, and to determine the weight of human factors. The objective function determination module is used to combine the influence weights of the personnel factors with the mathematical model to form an objective function for evaluating the vulnerability of the circumferential weld during the pipeline trenching process. The standard solution set solving module is used to solve the objective function based on a single-objective optimization method to obtain the standard solution set of vulnerability; The evaluation and analysis module is used to compare the vulnerability standard solution set with the indicator dataset to achieve the vulnerability evaluation of the weld to be evaluated.
9. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on a computer, the computer performs the method for evaluating the vulnerability of circumferential welds during the pipeline trenching process as described in any one of claims 1 to 7.
10. A computing device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the program, it implements the method for evaluating the vulnerability of circumferential welds during pipeline trenching as described in any one of claims 1 to 7.