CN112528531B - Pipeline weld quality determination method, device, equipment and storage medium - Google Patents
Pipeline weld quality determination method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN112528531B CN112528531B CN202011255204.1A CN202011255204A CN112528531B CN 112528531 B CN112528531 B CN 112528531B CN 202011255204 A CN202011255204 A CN 202011255204A CN 112528531 B CN112528531 B CN 112528531B
- Authority
- CN
- China
- Prior art keywords
- weld
- displacement curve
- quality
- load displacement
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 66
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 238000006073 displacement reaction Methods 0.000 claims abstract description 174
- 238000003466 welding Methods 0.000 claims abstract description 82
- 238000004088 simulation Methods 0.000 claims abstract description 41
- 238000013507 mapping Methods 0.000 claims description 14
- 238000013528 artificial neural network Methods 0.000 claims description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 10
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000009991 scouring Methods 0.000 description 2
- 241000831652 Salinivibrio sharmensis Species 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004992 fission Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000013001 point bending Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/14—Pipes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The embodiment of the invention provides a method, a device, equipment and a storage medium for determining the quality of a pipeline welding seam, which concretely comprises the following steps: the method comprises the following steps: acquiring a target load displacement curve of a target pipeline welding line material and welding line constitutive parameters prestored in a database; inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve; and determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of the target pipeline according to the weld quality parameters, and outputting the weld quality of the target pipeline. According to the method for determining the quality of the pipeline welding seam, the quality parameters of the welding seam can be determined according to the target load displacement curve and the reference load displacement curve, and the accuracy of the quality parameters of the welding seam is improved. Meanwhile, the quality of the weld joint of the target pipeline is determined according to the quality parameters of the weld joint, so that the accuracy of determining the quality of the weld joint of the pipeline is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of oil and gas resource transmission, in particular to a method, a device, equipment and a storage medium for determining the quality of a pipeline welding seam.
Background
With the continuous development of technology, the demand growth speed of oil and gas resources is faster and faster, and the safe transportation of the oil and gas resources is more and more important. Buried pipelines, which are one of life line engineering, are responsible for the main transportation task of oil and gas resources, and provide important energy guarantees for the economic development of the whole society. However, because most of the oil and gas producing areas are far away from the oil and gas demand areas, pipelines face a plurality of complex natural environment threats in the process of oil and gas output.
Long oil and gas pipelines for long-distance oil and gas transportation are generally formed by connecting in a welding mode, under a complex natural environment, the pipeline welding seams are easy to have quality problems after time scouring, and once the pipeline welding seams have quality problems, important consequences can be caused.
Aiming at the problem of the quality of the pipeline welding seam, the current method for determining the quality of the pipeline is usually determined by manual experience, however, the problem of the quality of the pipeline welding seam is determined by manual experience, large errors are easy to generate, and the accuracy is low.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for determining the quality of a pipeline welding seam, which are used for solving the problems that the quality of the pipeline welding seam is determined through manual experience at present, so that larger errors are easy to generate and the accuracy is low.
An embodiment of the present invention provides a method for determining quality of a weld joint of a pipe, including:
acquiring a target load displacement curve of a target pipeline welding line material and welding line constitutive parameters prestored in a database;
inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve;
and determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of the target pipeline according to the weld quality parameters, and outputting the weld quality of the target pipeline.
Further, in the method described above, the weld constitutive parameters include: maximum principal strain and energy to break.
Further, the method as described above, the weld constitutive parameters are a plurality of weld constitutive parameter pairs consisting of a maximum principal strain and an energy to break;
inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve, wherein the method comprises the following steps of:
inputting a plurality of weld joint constitutive parameter pairs into a preset finite element simulation model to generate a reference load displacement curve through the preset finite element simulation model;
and outputting the reference load displacement curve through the preset finite element simulation model.
Further, in the method as described above, after inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve, the method further includes:
and constructing a mapping relation between the weld constitutive parameter pair and displacement data and/or load data in a reference load displacement curve through a neural network algorithm.
Further, the method as described above, wherein determining the weld quality parameter from the target load displacement curve and the reference load displacement curve includes:
selecting a plurality of key point load data from the target load displacement curve and the reference load displacement curve respectively;
obtaining an error curve according to the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve;
and determining a welding line constitutive parameter pair corresponding to the minimum error value of the key point load data in the error curve as a welding line quality parameter.
Further, in the method as described above, before determining the pair of weld constitutive parameters corresponding to the minimum error value of the key point load data in the error curve as the weld quality parameter, the method further includes:
and determining the minimum error value in the error curve according to a preset relative mean square error formula.
Further, the method as described above, after outputting the target pipeline weld quality, further includes:
judging whether the target pipeline weld quality belongs to a preset quality difference interval or not according to the target pipeline weld quality;
and if the numerical value of the weld quality of the target pipeline accords with the quality difference interval, sending an early warning message to early warning equipment.
A second aspect of an embodiment of the present invention provides a device for determining quality of a weld joint of a pipe, including:
the acquisition module is used for acquiring a target load displacement curve of a target pipeline welding seam material and welding seam constitutive parameters prestored in a database;
the reference curve generation module is used for inputting the weld joint constitutive parameters into a preset finite element simulation model so as to obtain a reference load displacement curve;
and the weld quality determining module is used for determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of the target pipeline according to the weld quality parameters and outputting the weld quality of the target pipeline.
Further, in the apparatus as described above, the weld constitutive parameters include: maximum principal strain and energy to break.
Further, the apparatus as described above, the weld constitutive parameters being a plurality of weld constitutive parameter pairs consisting of a maximum principal strain and an energy to break;
the reference curve generation module is specifically configured to:
inputting a plurality of weld joint constitutive parameter pairs into a preset finite element simulation model to generate a reference load displacement curve through the preset finite element simulation model; and outputting the reference load displacement curve through the preset finite element simulation model.
Further, the apparatus as described above, further comprising:
and the mapping module is used for constructing a mapping relation between the weld constitutive parameter pair and displacement data and/or load data in a reference load displacement curve through a neural network algorithm.
Further, in the apparatus as described above, the weld quality determination module is specifically configured to, when determining the weld quality parameter according to the target load displacement curve and the reference load displacement curve:
selecting a plurality of key point load data from the target load displacement curve and the reference load displacement curve respectively;
obtaining an error curve according to the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve;
and determining a welding line constitutive parameter pair corresponding to the minimum error value of the key point load data in the error curve as a welding line quality parameter.
Further, an apparatus as described above, the apparatus further comprising:
and the error determining module is used for determining the minimum error value in the error curve according to a preset relative mean square error formula.
Further, the apparatus as described above, further comprising:
the early warning module is used for judging whether the target pipeline weld quality belongs to a preset quality difference interval or not according to the target pipeline weld quality; and if the numerical value of the weld quality of the target pipeline accords with the quality difference interval, sending an early warning message to early warning equipment.
A third aspect of the embodiment of the present invention provides a device for determining quality of a weld joint of a pipe, including: a memory, a processor;
a memory; a memory for storing the processor-executable instructions;
wherein the processor is configured to perform the pipe weld quality determination method of any of the first aspects by the processor.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium having stored therein computer-executable instructions for implementing the method for determining quality of a pipe weld according to any one of the first aspects when executed by a processor.
The embodiment of the invention provides a method, a device, equipment and a storage medium for determining the quality of a pipeline welding seam, wherein the method comprises the following steps: acquiring a target load displacement curve of a target pipeline welding line material and welding line constitutive parameters prestored in a database; inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve; and determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of the target pipeline according to the weld quality parameters, and outputting the weld quality of the target pipeline. According to the pipeline weld quality determination method, the target load displacement curve of the target pipeline weld material and the weld constitutive parameters prestored in the database are obtained, and then the weld constitutive parameters are input into a preset finite element simulation model to obtain the reference load displacement curve. Because the target load displacement curve is related to the weld joint material of the target pipeline, the reference load displacement curve is related to the weld joint constitutive parameter used for reference, and the weld joint quality parameter can be determined according to the target load displacement curve and the reference load displacement curve, so that the accuracy of the weld joint quality parameter is improved. Meanwhile, the quality of the weld joint of the target pipeline is determined according to the quality parameters of the weld joint, so that the accuracy of determining the quality of the weld joint of the pipeline is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a scene graph of a pipeline weld quality determination method in which embodiments of the present invention may be implemented;
FIG. 2 is a flow chart of a method for determining quality of a weld joint of a pipe according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for determining quality of a weld joint of a pipe according to another embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a device for determining quality of a weld joint of a pipe according to an embodiment of the present invention;
FIG. 5 is a schematic structural view of a device for determining quality of a weld joint of a pipe according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Specific embodiments of the present invention have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of apparatus and methods consistent with aspects of the invention as detailed in the accompanying claims.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
For a clear understanding of the technical solutions of the present application, the prior art solutions will be described in detail first. Long oil and gas pipelines for long-distance oil and gas transportation are generally formed by connecting in a welding mode, under a complex natural environment, the pipeline welding seams are easy to have quality problems after time scouring, and once the pipeline welding seams have quality problems, important consequences can be caused. At present, aiming at the quality problem of the pipeline welding seam, the quality parameter of the pipeline welding seam is mainly determined through manual experience, and then the quality problem of the pipeline welding seam is determined according to the quality parameter of the pipeline welding seam. The method not only needs a person with abundant experience for many years to determine the quality parameters of the pipeline welding seam through own experience and consumes a great deal of manpower, but also ensures that the quality parameters of the pipeline welding seam are not necessarily matched with corresponding pipeline welding seam conditions, so that larger errors are easy to generate and the accuracy is lower.
Therefore, the inventor finds out in the research in order to avoid the problems that the existing quality determination method is easy to generate larger errors and has lower accuracy. The weld constitutive parameters can be input into a preset finite element simulation model to obtain a reference load displacement curve. And determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, and determining the weld quality of the target pipeline according to the weld quality parameters, so that the accuracy of the weld quality of the target pipeline can be improved through the target load displacement curve and the reference load displacement curve with higher accuracy.
The inventor puts forward the technical scheme of the application based on the creative discovery.
The application scenario of the method for determining the quality of the pipeline welding seam provided by the embodiment of the invention is described below. As shown in fig. 1, 1 is a first electronic device, 2 is a second electronic device, and 3 is a third electronic device. The network architecture of the application scene corresponding to the pipeline weld quality determination method provided by the embodiment of the invention comprises the following steps: a first electronic device 1, a second electronic device 2 and a third electronic device 3. The second electronic device 2 stores a target load displacement curve of a target pipeline welding seam material and welding seam constitutive parameters in advance, wherein the welding seam constitutive parameters correspond to the target pipeline welding seam material. The first electronic device 1 acquires a target load displacement curve of the target pipeline welding seam material sent by the second electronic device 2 and welding seam constitutive parameters. And then inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve. And determining weld quality parameters according to the target load displacement curve and the reference load displacement curve. And then determining the weld quality of the target pipeline according to the weld quality parameters. And finally, outputting the quality of the target pipeline welding seam to the third electronic equipment 3, so that the third electronic equipment 3 can perform subsequent related processing according to the quality of the target pipeline welding seam, for example, a corresponding target pipeline maintenance scheme can be generated according to the quality of the target pipeline welding seam, for example, timing analysis and early warning processing can be performed according to the quality of the target pipeline welding seam. Therefore, the quality of the weld joint of the target pipeline, which is obtained through a more accurate target load displacement curve and a reference load displacement curve, is higher in accuracy than that of a manual experience mode.
According to the method for determining the quality of the pipeline welding seam, the target load displacement curve of the target pipeline welding seam material and the welding seam constitutive parameters prestored in the database are obtained, and then the welding seam constitutive parameters are input into a preset finite element simulation model to obtain the reference load displacement curve. Because the target load displacement curve is related to the weld joint material of the target pipeline, the reference load displacement curve is related to the weld joint constitutive parameter used for reference, and the weld joint quality parameter can be determined according to the target load displacement curve and the reference load displacement curve, so that the accuracy of the weld joint quality parameter is improved. Meanwhile, the quality of the weld joint of the target pipeline is determined according to the quality parameters of the weld joint, so that the accuracy of determining the quality of the weld joint of the pipeline is improved.
Embodiments of the present invention will now be described with reference to the accompanying drawings.
Fig. 2 is a flow chart of a method for determining quality of a pipe weld according to an embodiment of the present invention, as shown in fig. 2, in this embodiment, an execution body of the embodiment of the present invention is a device for determining quality of a pipe weld, where the device for determining quality of a pipe weld may be integrated in an electronic device. The method for determining the quality of the pipeline welding seam provided by the embodiment comprises the following steps:
step S101, obtaining a target load displacement curve of a target pipeline welding line material and welding line constitutive parameters pre-stored in a database.
Firstly, in this embodiment, the target load displacement curve of the target pipeline weld material may be obtained by a three-point bending experimental apparatus, or may be obtained by a preset database, which is not limited in this embodiment.
In this embodiment, the target load displacement curve is a load displacement curve of a target pipeline weld material, and the weld constitutive parameter is a parameter corresponding to the target pipeline weld material. Different pipeline weld joint materials correspond to different weld joint constitutive parameters. Meanwhile, the weld constitutive parameters can be better weld constitutive parameter sets in the historical weld quality determination process and are prestored in a database.
Step S102, inputting weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve.
In this embodiment, the input end of the preset finite element simulation model is a weld constitutive parameter, the output end is a corresponding reference load displacement curve, and the output reference load displacement curve is correspondingly changed along with the change of the weld constitutive parameter.
In this embodiment, a corresponding reference load displacement curve may be generated through a plurality of sets of weld constitutive parameters, and the accuracy of subsequent determination of weld quality parameters may be improved through a plurality of data optimization manners.
And step S103, determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of the target pipeline according to the weld quality parameters, and outputting the weld quality of the target pipeline.
In this embodiment, the reference load displacement curve corresponds to the weld constitutive parameter, and meanwhile, the weld constitutive parameter is related to the quality of the pipeline weld. The weld constitutive parameters comprise maximum main strain and fracture energy, and the two parameters are related to the fracture and fission degree of the pipeline weld, so that a more accurate reference load displacement curve can be obtained according to the weld constitutive parameters, and more accurate weld quality parameters can be determined according to the target load displacement curve and the reference load displacement curve, and further the accuracy of determining the weld quality of the target pipeline is improved.
In this embodiment, the output quality of the weld seam of the target pipeline may be generated by a user or other electronic devices, or may also remind the user to maintain the weld seam of the target pipeline in advance by means of early warning when the quality of the weld seam of the target pipeline is poor by means of early warning devices, so as to avoid serious consequences.
According to the method for determining the quality of the pipeline welding seam, provided by the embodiment of the invention, a target load displacement curve of a target pipeline welding seam material and welding seam constitutive parameters prestored in a database are obtained. And inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve. And determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of the target pipeline according to the weld quality parameters, and outputting the weld quality of the target pipeline. According to the pipeline weld quality determination method, the target load displacement curve of the target pipeline weld material and the weld constitutive parameters prestored in the database are obtained, and then the weld constitutive parameters are input into a preset finite element simulation model to obtain the reference load displacement curve. Because the target load displacement curve is related to the weld joint material of the target pipeline, the reference load displacement curve is related to the weld joint constitutive parameter used for reference, and the weld joint quality parameter can be determined according to the target load displacement curve and the reference load displacement curve, so that the accuracy of the weld joint quality parameter is improved. Meanwhile, the quality of the weld joint of the target pipeline is determined according to the quality parameters of the weld joint, so that the accuracy of determining the quality of the weld joint of the pipeline is improved.
Fig. 3 is a schematic flow chart of a method for determining quality of a pipe weld according to another embodiment of the present invention, as shown in fig. 3, where the method for determining quality of a pipe weld according to the present embodiment further refines steps in the method based on the method for determining quality of a pipe weld according to the previous embodiment of the present invention. The method for determining the quality of the welding seam of the pipeline provided by the embodiment comprises the following steps.
Step S201, a target load displacement curve of a target pipeline welding line material and welding line constitutive parameters prestored in a database are obtained.
In this embodiment, the implementation manner of step 201 is similar to that of step 101 in the previous embodiment of the present invention, and will not be described in detail here.
Step 202 is a further refinement of step 102.
Wherein optionally, in this embodiment, the weld constitutive parameters include: maximum principal strain and energy to break. Meanwhile, the weld constitutive parameters are a plurality of weld constitutive parameter pairs consisting of maximum main strain and fracture energy.
In this example, energy to break: the energy required to generate a crack per unit area, defined as one of the damage parameters, can characterize crack propagation. Maximum main strain: any point on the plane is acted by forces in several directions simultaneously, and a certain strain is generated in each direction, wherein the strain generated by the largest force is the largest main strain, and the largest main strain is used as a cracking control standard and a crack extension direction determining criterion.
In this embodiment, the weld constitutive parameters are a plurality of weld constitutive parameter pairs formed by the maximum main strain and the fracture energy, where the plurality may be 5, 6 or other numbers, and may be set according to actual requirements, which is not limited in this embodiment.
Each weld constitutive parameter pair may include values for both the maximum principal strain and the energy to break. Such as maximum principal strain a and fracture energy a, maximum principal strain B and fracture energy B, and maximum principal strain C and fracture energy C.
Step S202, inputting a plurality of weld joint constitutive parameter pairs into a preset finite element simulation model to generate a reference load displacement curve through the preset finite element simulation model. And outputting a reference load displacement curve through a preset finite element simulation model.
In this embodiment, a plurality of weld constitutive parameter pairs are input to a preset finite element simulation model, so that a corresponding reference load displacement curve can be generated, and load data on the reference load displacement curve and the weld constitutive parameter pairs have a corresponding relationship. Therefore, a basis is provided for the subsequent calculation of the error minimum value of the key point data between the target load displacement curve and the reference load displacement curve so as to obtain the corresponding weld constitutive parameter pair.
And step S203, constructing a mapping relation between the weld constitutive parameter pair and displacement data and/or load data in a reference load displacement curve through a neural network algorithm.
In this embodiment, the mapping relationship between the weld constitutive parameter pair and the displacement data and/or the load data in the reference load displacement curve is constructed through the neural network algorithm, so that the efficiency of mapping between the weld constitutive parameter pair and the displacement data and/or the load data in the reference load displacement curve can be improved, and the overall efficiency is improved.
Step S204, selecting a plurality of key point load data from the target load displacement curve and the reference load displacement curve.
In this embodiment, the target load displacement curve and the reference load displacement curve include load data and displacement data. The plurality of key points may be 12, 10 or other number of key points, and may be set according to actual needs, which is not limited in this embodiment.
Step S205, an error curve is obtained according to the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve.
In this embodiment, the error value between the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve is calculated according to the corresponding relationship between the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve. And generating an error curve according to the obtained error values.
And S206, determining a welding line constitutive parameter pair corresponding to the minimum error value of the key point load data in the error curve as a welding line quality parameter, determining the welding line quality of the target pipeline according to the welding line quality parameter, and outputting the welding line quality of the target pipeline.
In this embodiment, because a mapping relationship between the weld constitutive parameter pair and displacement data and/or load data in the reference load displacement curve is constructed through a neural network algorithm, when a minimum error value in the error curve is obtained through calculation, a corresponding load value in the reference load displacement curve can be obtained according to the minimum error value, so that a corresponding weld constitutive parameter pair can be obtained according to the load value in the reference load displacement curve. At this time, the weld constitutive parameter pair is the optimal weld constitutive parameter pair of the target pipeline weld material. Therefore, the optimal weld joint constitutive parameter pair is determined to be the weld joint quality parameter, so that the accuracy of the weld joint quality parameter can be improved.
In this embodiment, the optimal weld constitutive parameter pair may be input into a preset finite element simulation model, and the obtained optimal load displacement curve and the target load displacement curve are compared, so as to verify whether the optimal load displacement curve approximately coincides with the target load displacement curve, and if so, it may be determined that the obtained weld constitutive parameter pair is the optimal weld constitutive parameter pair of the target pipeline weld material.
Optionally, in this embodiment, before determining, as the weld quality parameter, the weld constitutive parameter pair corresponding to the minimum error value of the key point load data in the error curve, the method further includes:
and determining the minimum error value in the error curve according to a preset relative mean square error formula.
In this embodiment, the minimum error value in the error curve can be more accurately calculated by a preset relative mean square error formula.
And S207, judging whether the welding line quality of the target pipeline belongs to a preset quality difference section or not according to the welding line quality of the target pipeline.
And if the numerical value of the weld quality of the target pipeline accords with the quality difference interval, sending an early warning message to early warning equipment.
In this embodiment, when the quality of the weld seam of the target pipeline belongs to the preset quality difference interval, the weld seam of the target pipeline needs to be maintained, and at this time, early warning information is sent to the early warning device, so that early warning is performed through the early warning device, and the efficiency of maintenance processing can be improved.
According to the method for determining the quality of the pipeline welding seam, the target load displacement curve of the target pipeline welding seam material and the welding seam constitutive parameters prestored in the database are obtained, and then a plurality of welding seam constitutive parameter pairs are input into a preset finite element simulation model so as to generate a reference load displacement curve through the preset finite element simulation model. After the mapping relation between the weld constitutive parameter pair and the displacement data and/or the load data in the reference load displacement curve is constructed through a neural network algorithm, the error curve can be obtained by comparing the load data of each selected key point between the target load displacement curve and the reference load displacement curve. Because the mapping relation between the weld constitutive parameter pair and the displacement data and/or the load data in the reference load displacement curve is constructed through a neural network algorithm, when the minimum error value in the error curve is obtained through calculation, the corresponding load value in the reference load displacement curve can be obtained according to the minimum error value, and therefore the corresponding weld constitutive parameter pair can be obtained according to the load value in the reference load displacement curve. At this time, the weld constitutive parameter pair is the optimal weld constitutive parameter pair of the target pipeline weld material. Therefore, the optimal weld joint constitutive parameter pair is determined to be the weld joint quality parameter, so that the accuracy of the weld joint quality parameter can be improved, and the accuracy of determining the quality of the pipeline weld joint is further improved.
Fig. 4 is a schematic structural diagram of a device for determining quality of a pipe weld according to an embodiment of the present invention, as shown in fig. 4, in this embodiment, the device 300 for determining quality of a pipe weld includes:
the obtaining module 301 is configured to obtain a target load displacement curve of a target pipeline weld material and weld constitutive parameters pre-stored in a database.
The reference curve generating module 302 is configured to input the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve.
The weld quality determination module 303 is configured to determine a weld quality parameter according to the target load displacement curve and the reference load displacement curve, determine a target pipeline weld quality according to the weld quality parameter, and output the target pipeline weld quality.
The device for determining the quality of the welding seam of the pipeline provided in this embodiment may execute the technical scheme of the method embodiment shown in fig. 2, and its implementation principle and technical effects are similar to those of the method embodiment shown in fig. 2, and are not described in detail herein.
Meanwhile, fig. 5 is a schematic structural diagram of a device for determining quality of a pipe weld according to another embodiment of the present invention, and as shown in fig. 5, the device for determining quality of a pipe weld according to another embodiment of the present invention is further refined on the basis of the device for determining quality of a pipe weld according to the previous embodiment.
Optionally, in this embodiment, the weld constitutive parameters include: maximum principal strain and energy to break.
Optionally, in this embodiment, the weld constitutive parameters are a plurality of weld constitutive parameter pairs consisting of a maximum principal strain and a fracture energy.
The reference curve generating module 302 is specifically configured to:
and inputting the plurality of weld joint constitutive parameter pairs into a preset finite element simulation model to generate a reference load displacement curve through the preset finite element simulation model. And outputting a reference load displacement curve through a preset finite element simulation model.
Optionally, in this embodiment, the apparatus 400 for determining a quality of a weld of a pipe further includes:
the mapping module 401 is configured to construct a mapping relationship between the weld constitutive parameter pair and displacement data and/or load data in the reference load displacement curve through a neural network algorithm.
Optionally, in this embodiment, the weld quality determining module 303 is specifically configured to, when determining the weld quality parameter according to the target load displacement curve and the reference load displacement curve:
and selecting a plurality of key point load data from the target load displacement curve and the reference load displacement curve respectively. And obtaining an error curve according to the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve. And determining a welding line constitutive parameter pair corresponding to the minimum error value of the key point load data in the error curve as a welding line quality parameter.
Optionally, in this embodiment, the method further includes:
and the error determining module is used for determining the minimum error value in the error curve according to a preset relative mean square error formula.
Optionally, in this embodiment, the method further includes:
and the early warning module 402 is used for judging whether the target pipeline weld quality belongs to a preset quality difference interval or not according to the target pipeline weld quality. And if the numerical value of the weld quality of the target pipeline accords with the quality difference interval, sending an early warning message to early warning equipment.
The device for determining the quality of the welding seam of the pipeline provided by the embodiment can execute the technical scheme of the method embodiment shown in fig. 2-3, and the implementation principle and the technical effect are similar to those of the method embodiment shown in fig. 2-3, and are not repeated here.
According to an embodiment of the present invention, the present invention also provides an electronic device and a computer-readable storage medium.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. Electronic devices are intended for various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device includes: a processor 501, and a memory 502. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device.
The memory 502 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (e.g., the acquisition module 301, the reference curve generation module 302, and the weld quality determination module 303 shown in fig. 4) corresponding to the pipe weld quality determination method according to the embodiments of the present invention. The processor 501 executes various functional applications of the server and data processing, i.e., implements the pipe weld quality determination method in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 502.
Other implementations of the examples of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of embodiments of the invention following, in general, the principles of the embodiments of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the embodiments of the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the embodiments being indicated by the following claims.
It is to be understood that the embodiments of the invention are not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be made without departing from the scope thereof. The scope of embodiments of the invention is limited only by the appended claims.
Claims (6)
1. A method for determining the quality of a weld of a pipe, comprising:
acquiring a target load displacement curve of a target pipeline welding line material and welding line constitutive parameters prestored in a database;
inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve;
determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of a target pipeline according to the weld quality parameters, and outputting the weld quality of the target pipeline;
the weld constitutive parameters include: maximum principal strain and energy to break;
the weld constitutive parameters are a plurality of weld constitutive parameter pairs consisting of maximum main strain and fracture energy;
inputting the weld constitutive parameters into a preset finite element simulation model to obtain a reference load displacement curve, wherein the method comprises the following steps of:
inputting a plurality of weld joint constitutive parameter pairs into a preset finite element simulation model to generate a reference load displacement curve through the preset finite element simulation model;
outputting the reference load displacement curve through the preset finite element simulation model;
after the weld joint constitutive parameters are input into a preset finite element simulation model to obtain a reference load displacement curve, the method further comprises the following steps:
constructing a mapping relation between the weld constitutive parameter pair and displacement data and/or load data in a reference load displacement curve through a neural network algorithm;
the determining the weld quality parameter according to the target load displacement curve and the reference load displacement curve comprises the following steps:
selecting a plurality of key point load data from the target load displacement curve and the reference load displacement curve respectively;
obtaining an error curve according to the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve;
and determining a welding line constitutive parameter pair corresponding to the minimum error value of the key point load data in the error curve as a welding line quality parameter.
2. The method according to claim 1, wherein before determining the pair of weld constitutive parameters corresponding to the minimum error value of the key point load data in the error curve as the weld quality parameter, the method further comprises:
and determining the minimum error value in the error curve according to a preset relative mean square error formula.
3. The method of claim 1 or 2, wherein after outputting the target pipe weld quality, further comprising:
judging whether the target pipeline weld quality belongs to a preset quality difference interval or not according to the target pipeline weld quality;
and if the numerical value of the weld quality of the target pipeline accords with the quality difference interval, sending an early warning message to early warning equipment.
4. A pipe weld quality determination apparatus, comprising:
the acquisition module is used for acquiring a target load displacement curve of a target pipeline welding seam material and welding seam constitutive parameters prestored in a database;
the reference curve generation module is used for inputting the weld joint constitutive parameters into a preset finite element simulation model so as to obtain a reference load displacement curve;
the weld quality determining module is used for determining weld quality parameters according to the target load displacement curve and the reference load displacement curve, determining the weld quality of the target pipeline according to the weld quality parameters and outputting the weld quality of the target pipeline;
the weld constitutive parameters include: maximum principal strain and energy to break;
the weld constitutive parameters are a plurality of weld constitutive parameter pairs consisting of maximum main strain and fracture energy;
the reference curve generation module is specifically configured to:
inputting a plurality of weld joint constitutive parameter pairs into a preset finite element simulation model to generate a reference load displacement curve through the preset finite element simulation model; outputting the reference load displacement curve through the preset finite element simulation model;
the apparatus further comprises:
the mapping module is used for constructing a mapping relation between the weld constitutive parameter pair and displacement data and/or load data in a reference load displacement curve through a neural network algorithm;
the weld quality determination module is specifically configured to, when determining a weld quality parameter according to the target load displacement curve and the reference load displacement curve:
selecting a plurality of key point load data from the target load displacement curve and the reference load displacement curve respectively;
obtaining an error curve according to the key point load data of the target load displacement curve and the corresponding key point load data in the reference load displacement curve;
and determining a welding line constitutive parameter pair corresponding to the minimum error value of the key point load data in the error curve as a welding line quality parameter.
5. An electronic device, comprising: a memory, a processor;
a memory: a memory for storing the processor-executable instructions;
wherein the processor is configured to perform the pipe weld quality determination method of any one of claims 1 to 3 by the processor.
6. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the pipe weld quality determination method of any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011255204.1A CN112528531B (en) | 2020-11-11 | 2020-11-11 | Pipeline weld quality determination method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011255204.1A CN112528531B (en) | 2020-11-11 | 2020-11-11 | Pipeline weld quality determination method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112528531A CN112528531A (en) | 2021-03-19 |
| CN112528531B true CN112528531B (en) | 2023-05-19 |
Family
ID=74980744
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011255204.1A Expired - Fee Related CN112528531B (en) | 2020-11-11 | 2020-11-11 | Pipeline weld quality determination method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112528531B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116227282B (en) * | 2023-02-01 | 2023-12-08 | 中国石油大学(北京) | Method and equipment for determining stress-strain relation parameters of girth weld zone material |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106407614A (en) * | 2016-11-08 | 2017-02-15 | 武汉大学 | Method for acquiring weld seam structure mechanical parameters in combination with nanoindentation and finite elements |
| CN108240526A (en) * | 2018-01-31 | 2018-07-03 | 中国石油大学(北京) | Buried oil-gas pipeline antishock device and buried oil-gas pipeline system |
| CN109299568A (en) * | 2018-10-24 | 2019-02-01 | 南京航空航天大学 | Welding point constitutive model Backstipping design based on nano indentation test |
| CN110598357A (en) * | 2019-09-25 | 2019-12-20 | 华中科技大学 | Welding joint stress deformation simulation method, device, equipment and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9851332B2 (en) * | 2014-09-19 | 2017-12-26 | King Fahd University Of Petroleum And Minerals | Process for determining weld quality using flexural characteristics |
-
2020
- 2020-11-11 CN CN202011255204.1A patent/CN112528531B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106407614A (en) * | 2016-11-08 | 2017-02-15 | 武汉大学 | Method for acquiring weld seam structure mechanical parameters in combination with nanoindentation and finite elements |
| CN108240526A (en) * | 2018-01-31 | 2018-07-03 | 中国石油大学(北京) | Buried oil-gas pipeline antishock device and buried oil-gas pipeline system |
| CN109299568A (en) * | 2018-10-24 | 2019-02-01 | 南京航空航天大学 | Welding point constitutive model Backstipping design based on nano indentation test |
| CN110598357A (en) * | 2019-09-25 | 2019-12-20 | 华中科技大学 | Welding joint stress deformation simulation method, device, equipment and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| Fracture response of 1422-mm diameter pipe with double-V groove weld joints and circumferential crack in fusion line;Kai Wu 等;《Engineering Failure Analysis》;第115卷;1-16 * |
| TC4钛合金扩散焊接头的力学性能;刘小刚 等;《航空动力学报》;第32卷(第6期);1342-1348 * |
| 直径1 422 mm X80 管道环焊接头应变能力数值模拟方法;张宏 等;《油气储运》;第39卷(第2期);162-168 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112528531A (en) | 2021-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105471760A (en) | Routing method, load balancing device and data communication system | |
| CN110875851B (en) | Underground cable fault early warning method and device | |
| CN108763718B (en) | Method for quickly predicting characteristic quantity of flow field when flow-around object and working condition change | |
| CN103530565A (en) | Method and device for scanning website program bugs based on web | |
| CN112528531B (en) | Pipeline weld quality determination method, device, equipment and storage medium | |
| CN107862103A (en) | A kind of simulation model generation method and system based on ADPSS | |
| CN116562156A (en) | Training method, device, equipment and storage medium for control decision model | |
| CN114139104A (en) | Method and device for processing flow field data based on partial differential equation and electronic equipment | |
| CN112380607B (en) | Pipeline connection data generation method, device, computer equipment and storage medium | |
| CN113037489A (en) | Data processing method, device, equipment and storage medium | |
| CN117474124A (en) | Model training method, device, equipment and medium based on federal learning | |
| CN115859749B (en) | Constraint building method and device of three-dimensional model, electronic equipment and storage medium | |
| CN116244778B (en) | Hydropower engineering simulation cloud picture display method and device, electronic equipment and storage medium | |
| CN116415328B (en) | Calculation method and device for tunnel primary support construction position | |
| CN111079262B (en) | Pipeline hoisting structure generation method and device, computer equipment and storage medium | |
| CN116296239A (en) | Wind tunnel test method, device, equipment and medium based on convolutional neural network | |
| CN114996557B (en) | Service stability determination method, device, equipment and storage medium | |
| EP3901760A1 (en) | Data processing method and apparatus, electronic device, storage medium and program product | |
| CN102446231A (en) | System and method for optimizing viscose path | |
| CN113688554A (en) | Flow field calculation method combining discontinuous finite element and immersion boundary method | |
| CN104268320A (en) | Novel vibration isolator stiffness matrix rapid estimation method applicable to satellite sensitive loads | |
| CN111400849A (en) | Method and device for determining time sequence load of wind turbine generator | |
| CN108170936B (en) | Space-time distribution domain load dynamic loading method | |
| CN110765513B (en) | Method for placing connecting node of wall keel model and L-shaped top guide beam model and product | |
| CN115759233B (en) | Model training method, graph data processing device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20230519 |