CN114152422A - Method for detecting non-external defect type of pipeline in oil and gas pipeline excavation site - Google Patents
Method for detecting non-external defect type of pipeline in oil and gas pipeline excavation site Download PDFInfo
- Publication number
- CN114152422A CN114152422A CN202111462010.3A CN202111462010A CN114152422A CN 114152422 A CN114152422 A CN 114152422A CN 202111462010 A CN202111462010 A CN 202111462010A CN 114152422 A CN114152422 A CN 114152422A
- Authority
- CN
- China
- Prior art keywords
- defect
- detection
- pipeline
- external
- detection result
- 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.)
- Granted
Links
- 230000007547 defect Effects 0.000 title claims abstract description 394
- 238000009412 basement excavation Methods 0.000 title claims abstract description 79
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000001514 detection method Methods 0.000 claims abstract description 278
- 239000002184 metal Substances 0.000 claims abstract description 36
- 230000008859 change Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 9
- 206010010356 Congenital anomaly Diseases 0.000 abstract description 6
- 239000000523 sample Substances 0.000 description 36
- 239000007789 gas Substances 0.000 description 23
- 239000003921 oil Substances 0.000 description 20
- 230000005540 biological transmission Effects 0.000 description 13
- 230000032798 delamination Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 10
- 239000013078 crystal Substances 0.000 description 8
- 238000012795 verification Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 6
- 238000010276 construction Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 229910000831 Steel Inorganic materials 0.000 description 4
- 230000007797 corrosion Effects 0.000 description 4
- 238000005260 corrosion Methods 0.000 description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 4
- 239000010959 steel Substances 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- 230000004907 flux Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 239000003345 natural gas Substances 0.000 description 2
- 239000003209 petroleum derivative Substances 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 238000013349 risk mitigation Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 208000032170 Congenital Abnormalities Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
- Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)
Abstract
The invention provides a method for detecting the type of non-external defects of pipelines in an oil and gas pipeline excavation site, which comprises the following steps: obtaining an internal detection defect excavation list, wherein the internal detection defect excavation list comprises defect mileage and clock azimuth information; determining a first non-external pipeline defect according to an internal detection defect excavation list; detecting the defect of a first non-external pipeline according to first detection equipment to obtain a first detection result; judging whether the first detection result meets a first preset requirement or not; when the first detection result does not meet a first preset requirement, a first complex detection instruction is obtained; according to the first complex detection instruction, performing first non-external pipeline defect detection through second detection equipment to obtain a second detection result; and judging the defect type of the first non-external pipeline defect according to the second detection result. The technical problem that in the prior art, the defect classification is inaccurate due to the fact that loss defects existing in metal congenital cannot be accurately identified is solved.
Description
Technical Field
The invention relates to the technical field related to nondestructive testing of oil and gas long-distance pipelines, in particular to a method for detecting non-external defect types of pipelines in an oil and gas pipeline excavation site.
Background
As the main transportation mode of the existing petroleum and natural gas, the advantages of buried long-distance transportation pipelines are increasingly prominent. However, due to the complex operation environment, various defects are easily generated inside and outside the pipeline, the service life of the pipeline is influenced, and even leakage accidents are caused. Therefore, the integrity evaluation of the pipeline needs to be carried out, various targeted risk mitigation measures are implemented, and the pipeline risk is controlled within a reasonable and acceptable range, so that the pipeline is always in a safe and controllable service state, and the safe operation of the pipeline is ensured.
The existing pipeline defect detection method is mainly characterized in that nondestructive detection equipment in a pipeline and an intelligent pipe cleaner (also called an inner detector) of a data acquisition and storage device are used, so that the size and the position of a pipe body defect are recorded in real time in the process of forward scanning operation along with a medium in the pipeline, the pipeline can be subjected to full-line detection through one-time operation, and then the defect is excavated, verified and maintained according to the type of the defect.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
in the prior art, the congenital loss defect in the metal layering cannot be accurately identified, so that the technical problem of inaccurate defect classification exists.
Disclosure of Invention
The embodiment of the application provides a method for detecting the type of the non-external defect of the pipeline on the oil-gas pipeline excavation site, and solves the technical problem that in the prior art, the defect classification is inaccurate due to the fact that the loss defect existing in the metal congenital mode cannot be accurately identified. Through reading the internal detection defect excavation list, each defect has corresponding mileage information and clock azimuth information, then the non-external pipeline defect is extracted from the internal detection defect excavation list, the non-external pipeline defect is detected by using the first detection equipment, when the detection result meets the preset requirement, the non-external pipeline defect is rechecked by using the second detection equipment, the defect type is judged according to the rechecking information, the identification capability of the internal defect of the pipeline is improved, and the technical effect of ensuring the identification accuracy of the non-external pipeline defect is achieved.
In view of the above problems, the embodiments of the present application provide a method for detecting a non-external defect type of a pipeline at an oil and gas pipeline excavation site.
In a first aspect, an embodiment of the present application provides a method for detecting a type of a non-external defect of a pipeline in an oil and gas pipeline excavation site, where the method is applied to an intelligent non-external defect detection system, the system is connected to a first detection device and a second detection device in a communication manner, and the method includes: obtaining an internal detection defect excavation list, wherein the internal detection defect excavation list comprises defect mileage and clock azimuth information; determining a first non-external pipeline defect according to the internal detection defect excavation list; detecting the defect of the first non-external pipeline according to the first detection equipment to obtain a first detection result; judging whether the first detection result meets a first preset requirement or not; when the first detection result does not meet a first preset requirement, obtaining a first complex detection instruction; according to the first complex detection instruction, performing first non-external pipeline defect detection through the second detection equipment to obtain a second detection result; and judging the defect type of the first non-external pipeline defect according to the second detection result.
In another aspect, an embodiment of the present application provides a system for detecting a type of a non-external defect of a pipeline at an oil and gas pipeline excavation site, where the system includes: the device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining an internal detection defect excavation list, and the internal detection defect excavation list comprises defect mileage and clock azimuth information; the first determining unit is used for determining a first non-external pipeline defect according to the internal detection defect excavation list; a second obtaining unit, configured to perform the first non-external pipe defect detection according to the first detection device, and obtain a first detection result; the first judging unit is used for judging whether the first detection result meets a first preset requirement or not; a third obtaining unit, configured to obtain a first complex detection instruction when the first detection result does not meet a first predetermined requirement; a fourth obtaining unit, configured to perform, according to the first complex detection instruction, first non-external-pipe defect detection by using second detection equipment, and obtain a second detection result; a second judging unit, configured to perform defect type judgment on the first non-external pipe defect according to the second detection result.
In a third aspect, an embodiment of the present application provides a system for detecting a non-external defect type of a pipeline in an oil and gas pipeline excavation site, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
due to the adoption of the method, an internal detection defect excavation list is obtained, wherein the internal detection defect excavation list comprises defect mileage and clock azimuth information; determining a first non-external pipeline defect according to the internal detection defect excavation list; detecting the defect of the first non-external pipeline according to the first detection equipment to obtain a first detection result; judging whether the first detection result meets a first preset requirement or not; when the first detection result does not meet a first preset requirement, obtaining a first complex detection instruction; according to the first complex detection instruction, performing first non-external pipeline defect detection through the second detection equipment to obtain a second detection result; according to the technical scheme for judging the defect type of the first non-external pipeline defect according to the second detection result, an internal detection defect excavation list is read, each defect has corresponding mileage information and clock azimuth information, the non-external pipeline defect is extracted from the internal detection defect excavation list, the non-external pipeline defect is detected by using first detection equipment, when the detection result meets a preset requirement, the non-external pipeline defect is rechecked by using second detection equipment, the defect type is judged according to rechecking information, the identification capability of the pipeline internal defect is improved, and the technical effect of guaranteeing the identification accuracy of the non-external pipeline defect is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting a non-external defect type of a pipeline in an oil and gas pipeline excavation site according to an embodiment of the present application;
FIG. 2 is a waveform diagram of a twin crystal straight probe for detecting metal loss defects in the interior/inner wall of a pipeline;
FIG. 3 is a waveform diagram of a twin crystal straight probe for detecting delamination defects of a pipeline body;
FIG. 4 is a waveform of a tilted probe for detecting a pipe internal/inner wall metal loss defect and a defect-free pipe;
FIG. 5 is a waveform diagram of an oblique probe for detecting a delamination defect of a pipe body;
FIG. 6 is a signal diagram of No. 2 defect twin crystal straight probe detection;
FIG. 7 is a signal diagram of No. 3 defect twin crystal straight probe detection;
FIG. 8 is a diagram of the detection signals of No. 4 defected transverse wave angle probe;
FIG. 9 is a schematic structural diagram of a system for detecting a non-external defect type of a pipeline at an oil and gas pipeline excavation site according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: the device comprises a first obtaining unit 11, a first determining unit 12, a second obtaining unit 13, a first judging unit 14, a third obtaining unit 15, a fourth obtaining unit 16, a second judging unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The embodiment of the application provides a method for detecting the type of the non-external defect of the pipeline on the oil-gas pipeline excavation site, and solves the technical problem that in the prior art, the defect classification is inaccurate due to the fact that the loss defect existing in the metal congenital mode cannot be accurately identified. Through reading the internal detection defect excavation list, each defect has corresponding mileage information and clock azimuth information, then the non-external pipeline defect is extracted from the internal detection defect excavation list, the non-external pipeline defect is detected by using the first detection equipment, when the detection result meets the preset requirement, the non-external pipeline defect is rechecked by using the second detection equipment, the defect type is judged according to the rechecking information, the identification capability of the internal defect of the pipeline is improved, and the technical effect of ensuring the identification accuracy of the non-external pipeline defect is achieved.
Summary of the application
As the main transportation mode of the existing petroleum and natural gas, the advantages of buried long-distance transportation pipelines are increasingly prominent. However, due to the complex operation environment, various defects are easily generated inside and outside the pipeline, the service life of the pipeline is influenced, and even leakage accidents are caused. Therefore, the integrity evaluation of the pipeline needs to be carried out, various targeted risk mitigation measures are implemented, and the pipeline risk is controlled within a reasonable and acceptable range, so that the pipeline is always in a safe and controllable service state, and the safe operation of the pipeline is ensured. The existing pipeline defect detection method is mainly characterized in that nondestructive detection equipment in a pipeline and an intelligent pipe cleaner (also called an inner detector) of a data acquisition and storage device are used, so that the size and the position of a pipe body defect are recorded in real time in the process of forward scanning operation along with a medium in the pipeline, the pipeline can be subjected to full-line detection through one-time operation, and then the defect is excavated, verified and maintained according to the type of the defect. However, in the prior art, the congenital loss defect in the metal layering cannot be accurately identified, so that the technical problem of inaccurate defect classification exists.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a detection method for detecting the type of non-external defects of a pipeline on an oil and gas pipeline excavation site, wherein the method is applied to an intelligent non-external defect detection system, the system is in communication connection with first detection equipment and second detection equipment, and the method comprises the following steps: obtaining an internal detection defect excavation list, wherein the internal detection defect excavation list comprises defect mileage and clock azimuth information; determining a first non-external pipeline defect according to the internal detection defect excavation list; detecting the defect of the first non-external pipeline according to the first detection equipment to obtain a first detection result; judging whether the first detection result meets a first preset requirement or not; when the first detection result does not meet a first preset requirement, obtaining a first complex detection instruction; according to the first complex detection instruction, performing first non-external pipeline defect detection through the second detection equipment to obtain a second detection result; and judging the defect type of the first non-external pipeline defect according to the second detection result.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a method for detecting a non-external defect type of a pipeline at an oil and gas pipeline excavation site, wherein the method is applied to an intelligent non-external defect detection system, the system is connected to a first detection device and a second detection device in a communication manner, and the method includes:
s100: obtaining an internal detection defect excavation list, wherein the internal detection defect excavation list comprises defect mileage and clock azimuth information;
specifically, the internal detection defect excavation list refers to a defect list which needs excavation verification and is obtained by evaluating and screening detection results of in-pipeline detection. Furthermore, the detection in the pipeline is realized by using an intelligent pipe cleaner (also called an internal detector) provided with nondestructive detection equipment and a data acquisition and storage device, so that the size and the position of the defects of the pipe body can be recorded in real time in the process of forward scanning operation along with the medium in the pipe, the full-line detection can be carried out on the pipeline by one-time operation, and the quantitative detection method is convenient and fast and has high reliability. The defect mileage information refers to data for characterizing the depth of a defect on the premise that the position of the defect is known; the clock orientation information refers to data characterizing the direction of a defect on the premise that the position of the defect is known. And the defect position information, the defect mileage information and the clock azimuth information are correspondingly stored, so that the defect can be accurately positioned.
The internal detector can be divided into various types according to different detection principles, such as a magnetic leakage internal detector, an ultrasonic internal detector and the like. If detect in using interior detector of magnetic leakage to carry out the pipeline, in the testing result list in the magnetic leakage, can generally indicate this defect and be pipeline inside or external defect, its detection differentiates the principle as follows: and a Hall sensor and an eddy current sensor are simultaneously installed in the detector, and image data at the output end of the signal processing circuit is synchronously displayed. When the two can detect the defect signal of the tube body at the same time, the defect is represented on the inner wall of the pipeline, and the defect is defined as an internal defect; when only the hall sensor detects a defect, it is proved that the defect is not on the inner wall of the pipe, and it is directly marked as an "external defect". Further, the most common type of defects in long-distance pipelines are "metal loss-type defects", which mainly include corrosion and scratches. Both defects are metal surface defects, so the "inside/outside" defect can be regarded as an "inside/outside wall" defect; further, the detected defects of the inner wall and the outer wall are evaluated, and when the defects meet preset requirements, the corresponding defects are stored in an inner detection defect excavation list, wherein the preset requirements are preset requirements of self-defined defect positions, defect quantity, defect area size, defect mileage information, defect clock information and the like.
The defects of the detection results in the pipeline are evaluated according to preset requirements, an internal detection defect excavation list needing excavation verification is screened out, and therefore the safety and the conveying stability of the oil-gas pipeline are guaranteed.
The internal inspection defect excavation list is exemplified by: in the magnetic leakage internal detection process of a certain crude oil pipeline with the wall thickness of 8mm and the diameter of 426mm, 4 serious external metal loss defects are found. In order to verify the work quality of the detection contractor and conveniently make a subsequent reasonable maintenance plan, the field excavation verification work needs to be carried out on the defects, the work relates to 4 excavation points, the specific defect information is shown in table 1, and note: wt% represents the percentage of wall thickness.
TABLE 1 excavation verification Defect List
And respectively carrying out field excavation at each excavation point, stripping the outer anticorrosive coating of the pipeline at the excavation point, and preliminarily finding out the approximate position of the defect by combining the defect mileage and the clock position given by the excavation defect list.
S200: determining a first non-external pipeline defect according to the internal detection defect excavation list;
specifically, the first non-external pipe defect refers to a defect in the pipe that is not external/external, including a delamination defect and a metal loss defect that is internal/internal, wherein the delamination defect refers to the presence of another form of metal loss defect in the pipe body other than corrosion and scratches, which is a congenital defect in the steel plate due to the presence of bubbles, non-metallic inclusions or folding in the steel ingot during rolling of the steel plate.
The determination is exemplarily as follows: the layered defects can be divided into two categories of edge layered defects and middle part layered defects, the defects in the pipeline belong to the middle part layers, the defects can be detected by a Hall sensor, but the defects can not be detected by an eddy current sensor which is responsible for distinguishing the inside and the outside because a certain distance exists between the defects and the inner wall of the steel pipe, and therefore, display signals can not be output. However, according to the principle of internal and external determination of defects detected in magnetic flux leakage, delamination is classified as "external metal loss", and is further mistakenly regarded as "external wall" metal loss according to experience, and excavation repair may be performed, and as a result, the "external wall" defect cannot be found in the field naturally. Furthermore, in the excavation process, because the defect of the outer wall cannot be found, the defect of the outer wall is regarded as the judgment error of the inner and outer types of the defect of the inner detection contractor, the defect type is recorded as the internal metal loss on an excavation verification report, namely the defect is recognized to be the internal metal loss, the defect is regarded as the metal loss of the inner wall by default, the possibility of the layering defect is not considered, the residual wall thickness of the pipeline is detected at the corresponding position by using an ultrasonic thickness gauge, and the defect depth d is obtained by calculating the difference between t and the original wall thickness t 0. However, the defect depth d obtained for the delamination defect is only the distance between the delamination defect and the outer wall of the pipeline, the actual wall thickness of the pipeline is not changed greatly, the measured wall thickness is smaller than the actual wall thickness, and then subsequent unnecessary maintenance work is caused. After excavation verification, an "outer wall" defect that is classified as "outer metal loss" but cannot be found, and an inner metal loss defect are collectively labeled as the first non-outer pipe defect. And correspondingly storing the first non-external pipeline defect, the defect mileage and the clock position, so as to be convenient for information feedback processing in the next step.
S300: detecting the defect of the first non-external pipeline according to the first detection equipment to obtain a first detection result;
specifically, the first detection device is an instrument for performing nondestructive detection on the first non-external pipeline defect, preferably, a type a pulse reflection ultrasonic detection method using a twin-crystal straight probe and an oblique probe is used for distinguishing the defect types, and in view of the thin wall thickness of the oil and gas pipeline, particularly the wall thickness of the oil pipeline is only a few millimeters, in order to overcome the influence of a blind zone of the single-crystal straight probe, the twin-crystal straight probe suitable for detecting the near-surface defect and the thin-wall workpiece is preferred for flaw detection.
The first detection result is obtained by detecting the defect of the first non-external pipeline through first detection equipment. Further, different types of defect information are characterized by waveform feature information in the first detection result, where the body delamination defect and the internal/inner wall defect are mainly distinguished, which is exemplified by:
internal/internal wall metal loss defects are characterized as follows: as shown in fig. 2, 1 represents a transmitted pulse, 2 represents an internal/internal metal loss, 3 represents a pipeline external wall, 4 represents a probe, 5 represents a bottom surface/defect echo, when the probe is at a defect position, two signals of a transmitted pulse T and a bottom surface echo B are visible on a detector screen (see fig. 2a), and the distance between T, B gradually increases to be constant as the probe moves from the defect position to the defect edge to the pipeline body (see fig. 2B-d);
the bulk delamination defects were characterized as follows: as shown in fig. 3, 1 represents a transmission pulse, 2 represents a delamination defect of a pipe body, 3 represents the pipe body, 4 represents a probe, 5 represents a defect echo, 6 represents a bottom echo when the probe is at a defect position, and only two signals of the transmission pulse T and the defect echo F exist on a wave diagram (see fig. 3 a); as the probe moves from the defect to the edge of the defect, three signals, namely a transmission pulse T, a defect echo F (caused by layered upper surface reflection) and a bottom echo B (see fig. 3B), can be seen from left to right on the oscillogram; the probe is moved further to the defect-free position of the body, and only two signals of the transmission pulse T and the bottom echo B are left on the oscillogram (see figure 3 c). Most of the first non-external pipe defects can be classified through the first detection result, and an important reference basis is provided for further making a maintenance plan.
S400: judging whether the first detection result meets a first preset requirement or not;
specifically, the first non-external pipe defects can be classified according to the first detection result, and the classification is suitable for classifying the first non-external pipe defect types with larger size, the classification is mainly characterized in that 3 signal features can be observed at the edge of the layered defect, but if the defect size is smaller (such as smaller than the size of a wafer), the defect wave can be annihilated by probe clutter, if the defect size is smaller, an auxiliary oblique probe is considered, and the defect type is judged according to the waveform; the first predetermined requirement is a preset waveform disorder degree, and preferably: the detected waveform when the defect type cannot be judged from the waveform. Defects with smaller sizes and types which cannot be judged through the first detection result are extracted through a first preset requirement, and further processing is carried out, such as auxiliary detection by using a slant probe, and defect type judgment is carried out according to waveforms.
S500: when the first detection result does not meet a first preset requirement, obtaining a first complex detection instruction;
s600: according to the first complex detection instruction, performing first non-external pipeline defect detection through the second detection equipment to obtain a second detection result;
specifically, when the first detection result does not meet a first predetermined requirement, the first detection result indicates that the defect type cannot be determined, and the second detection equipment is controlled to detect the defect of the first non-external pipeline through the first complex detection instruction; the second detection device is a first detection device added with an auxiliary oblique probe; the second detection result refers to a result obtained by detecting, by the second detection device, a defect in the first non-external pipe that does not meet the first predetermined requirement. The second detection result can be used for judging the accurate type of the defect according to the waveform, so that an important reference basis is provided for further making a maintenance plan.
S700: and judging the defect type of the first non-external pipeline defect according to the second detection result.
Further, the method step S700 further includes:
s710: obtaining a waveform detection characteristic according to the second detection result;
s720: and judging the defect type of the first non-external pipeline defect according to the waveform detection characteristics.
Specifically, different types of defect information are characterized by waveform detection feature information in the second detection result, where the body delamination defect and the internal/inner wall defect are mainly distinguished, which is exemplary:
as shown in fig. 4, 1 denotes a transmission pulse (initial wave), 2 denotes an internal/inner wall metal loss, 3 denotes a tilt probe, and 4 denotes a defect-free inner wall of a pipe. Defect-free pipes and internal/internal wall metal loss defects are characterized as follows: no obvious reflected wave, namely only the initial wave can be observed;
as shown in fig. 5, 1 denotes a transmission pulse (start wave), 2 denotes a pipe body delamination defect, 3 denotes a tilt probe, and 4 denotes a defect echo. The bulk delamination defects were characterized as follows: at the boundary of the layered defect, reflected waves occur, i.e. a start wave and a defect echo are observed on the display screen.
Exemplary are as follows: TABLE 2 Defect excavation verification result recording sheet
As shown in table 2, for the number 1 defect, it can be directly observed by naked eyes that the outer wall of the pipeline has obvious corrosion pits, which are consistent with the defect type reported in the detection list, and the defect type of the internal detection contractor is judged to be qualified without additional detection and judgment, and the subsequent evaluation works such as defect size measurement, appearance analysis, residual life prediction and the like can be continuously carried out on the basis;
for the No. 2-4 defects, no obvious external corrosion or scratch is found on the outer wall of the pipeline at the corresponding excavation position, the external metal loss does not belong to, and the defects are inconsistent with a detection list, so that the defect type judgment of the detection contractor is considered to be inaccurate, and the defect development type is further judged by using a bicrystal straight probe.
(1) At the position of No. 2 defect, two signals of a transmission pulse T and a bottom surface/defect echo B can be seen on the screen of the detector (see fig. 6, 1 represents the transmission pulse, 2 represents the probe, 3 represents the detection surface of the outer wall of the pipeline, and 4 represents the bottom surface/defect echo), and along with the unidirectional movement of the twin straight probe, the distance between T, B gradually becomes smaller and larger and then becomes stable, which proves that the defect is an internal/internal wall metal loss defect.
(2) At the defect position No. 3, along with the unidirectional movement of the twin straight probe, the number of signals on the screen of the detector can be sequentially changed into 2, 3, 2, 3 and 2 (see fig. 7, 1 represents a transmission pulse, 2 represents a probe, 3 represents a detection surface of the outer wall of the pipeline, 4 represents a bottom surface echo, and 5 represents a defect echo), which indicates that the defect is a body layering defect and the defect is located between two detection positions (namely between fig. 7b and 7 d) generating 3 signals.
(3) At the position of the No. 4 defect (see fig. 8, 1 represents a transmitting pulse, 2 represents a probe, 3 represents a pipeline outer wall detection surface, and 4 represents a defect echo), the signal quantity on the screen of the detector basically keeps two along with the unidirectional movement of the double-crystal straight probe, the distance between two signal peaks changes along with the movement of the probe, but clutter signals between the two signal peaks are more, whether a third peak exists is difficult to judge, and at the moment, a transverse wave oblique probe is required to be used for auxiliary detection. And scanning the determined specific defect position by the transverse wave oblique probe based on the twin straight probe, and if the number of signals on the screen of the detector is changed from 1 to 2 along with the unidirectional movement of the probe, indicating that the defect is a body layering defect.
By the characteristics, the type judgment is carried out on the body layering defects and the internal/internal wall defects, the type judgment accuracy is improved, accurate reference data are provided for further establishing important reference bases for maintenance plans, subsequent measurement work is carried out on the basis, and the results of residual wall thickness of the pipeline and the like are reliable.
Further, the method further includes step S800:
s810: and when the first detection result meets a first preset requirement, judging the defect type of the first non-external pipeline defect according to the first detection result.
Specifically, when the first detection result meets a first predetermined requirement, it is indicated that the defect type of the first non-external pipe defect can be accurately determined through the first detection result, so that the first detection result is directly used for determining the corresponding defect type, the increase of detection workload by using a second detection device is avoided, and the processing efficiency is reduced.
Further, based on the determination whether the first detection result meets the first predetermined requirement, step S400 further includes:
s410: acquiring signal quantity information according to the first detection result;
s420: judging whether the signal quantity information meets a first preset quantity threshold value or not;
s430: when the signal quantity information meets the first preset quantity threshold, obtaining a first signal distance characteristic judgment instruction;
s440: performing signal distance characteristic judgment of the first detection result according to the first signal distance judgment instruction to obtain a first judgment result;
s450: and obtaining a defect type judgment result of the first non-external pipeline defect according to the first judgment result.
Specifically, the signal quantity information refers to information of different types of wavelength quantities obtained after a first non-external pipe defect is detected by using first detection equipment; and the first preset number threshold value is a preset number threshold value for judging defect types. Exemplarily, if the first predetermined number threshold is 3 preset waveforms, moving the first detection device from left to right, obtaining signals which are three signals of a transmission pulse T, a defect echo F (the defect echo is caused by layered upper surface reflection) and a bottom echo B from left to right, comparing the signal number information with the first predetermined number threshold, and if three signals of the transmission pulse T, the defect echo F (the defect echo is caused by layered upper surface reflection) and the bottom echo B occur, indicating that the signal number information does not satisfy the first predetermined number threshold, determining the defect type as a layered defect; when two signals of the emission pulse T and the bottom echo B or other signals occur, the signal quantity information is shown to meet the first preset quantity threshold value, the first signal distance judgment instruction is an instruction for judging the distance between the signals sent by the emission pulse T and the bottom echo B, the two signals can be determined as an internal/inner wall defect, and the position of the defect can be judged by detecting the distance between the signals; when other signals exist, the current detection result is difficult to distinguish, and the detection is required to be carried out through a second detection device. The defect type can be judged by the signal quantity, and the position of the defect is judged by the signal distance, so that accurate data is provided for the subsequent measurement.
Further, based on the determining whether the signal quantity information satisfies the first predetermined quantity threshold, step S420 further includes:
s421: when the signal quantity information does not meet the first preset quantity threshold value, obtaining a first movement rule of the first detection device;
s423: obtaining a signal change rule of the signal quantity information;
s424: judging whether the signal change rule and the first movement rule have a first matching degree;
s425: and when the signal change rule and the first movement rule have the first matching degree, outputting the result that the first non-external pipeline defect is a body layering defect.
Specifically, when the signal quantity information does not satisfy the first predetermined quantity threshold, even if the current signal is three signals, i.e., a transmission pulse T, a defect echo F (the defect echo is caused by layered upper surface reflection) and a bottom echo B, it is still difficult to determine whether the current signal is a body layering defect if the current signal is in a wrong order, and further a first movement law, preferably a left-right movement law, of the first detection device is acquired, and the first movement law is recorded as: a left-to-right or right-to-left equal law type; the signal change rule of the signal quantity information refers to signal types which sequentially appear from left to right; and matching the signal change rule with the first movement rule, and if the signal change rule meets the first matching degree, outputting the first non-external pipeline defect as a body layering defect. The following are exemplary: if the first detection device moves from left to right, three signals of a transmission pulse T, a defect echo F (the defect echo is caused by layered upper surface reflection) and a bottom echo B appear from left to right in sequence, and then the first matching degree is obtained.
Further, the method further includes step S900:
s910: constructing a first waveform feature set, wherein the first waveform feature set is a waveform set corresponding to the internal metal loss defect feature;
s920: and judging whether the waveform detection features are matched with the first waveform feature set, and outputting the first non-external pipeline defect as an internal metal loss defect when the waveform detection features are matched with the first waveform feature set.
Specifically, the first waveform feature set is a waveform set corresponding to a feature representing internal/internal wall metal loss defects detected by the first detection device and the second detection device under different conditions; and matching the detected waveform detection characteristic and detection condition with the first waveform characteristic set under the same detection condition, and if the detection condition and the waveform detection characteristic are both matched, outputting the currently detected first non-external pipeline defect as an internal metal loss defect. The detection result can be rapidly analyzed and identified through the first waveform feature set, and the data processing efficiency is improved.
Further, the method further includes step S1000:
s1010: constructing a second waveform feature set, wherein the second waveform feature set is a waveform set corresponding to the body layering defect feature;
s1020: and judging whether the waveform detection features are matched with the second waveform feature set, and outputting the first non-external pipeline defect as a result of the body layering defect when the waveform detection features are matched with the second waveform feature set.
Specifically, the second waveform feature set is a waveform set corresponding to the layered defect features of the characterization body detected by the first detection device and the second detection device under different conditions; and matching the detected waveform detection characteristics and detection conditions with the second waveform characteristic set under the same detection conditions, and if the detection conditions and the waveform detection characteristics are matched, outputting the currently detected first non-external pipeline defects as body layering defects. The detection result can be rapidly analyzed and identified through the second waveform feature set, and the data processing efficiency is improved.
To sum up, the method for detecting the type of the non-external defect of the pipeline on the oil and gas pipeline excavation site provided by the embodiment of the application has the following technical effects:
1. the embodiment of the application provides a method for detecting the type of the non-external defect of the pipeline on the oil-gas pipeline excavation site, and solves the technical problem that in the prior art, the defect classification is inaccurate due to the fact that the loss defect existing in the metal congenital mode cannot be accurately identified. Through reading the internal detection defect excavation list, each defect has corresponding mileage information and clock azimuth information, then the non-external pipeline defect is extracted from the internal detection defect excavation list, the non-external pipeline defect is detected by using the first detection equipment, when the detection result meets the preset requirement, the non-external pipeline defect is rechecked by using the second detection equipment, the defect type is judged according to the rechecking information, the identification capability of the internal defect of the pipeline is improved, and the technical effect of ensuring the identification accuracy of the non-external pipeline defect is achieved.
2. The embodiment of the application provides a method for judging the metal loss defect in the pipeline/inner wall and the body layering defect type on the detection excavation verification field in the magnetic flux leakage, and solves the problem that the body layering defect cannot be accurately distinguished by the detection result in the magnetic flux leakage of the oil and gas long-distance pipeline. The method has the advantages of high speed, low detection cost, light equipment and convenient field use, avoids unnecessary subsequent repair work caused by regarding certain layered defects of the pipeline body as the loss defects of metal inside/inner wall of the pipeline according to the discrimination result, and can obviously reduce the management and maintenance cost of the pipeline.
Example two
Based on the same inventive concept as the method for detecting the type of the non-external defect of the pipeline at the oil and gas pipeline excavation site in the previous embodiment, as shown in fig. 9, an embodiment of the present application provides a system for detecting the type of the non-external defect of the pipeline at the oil and gas pipeline excavation site, the system includes:
the first obtaining unit 11 is configured to obtain an internal detection defect excavation list, where the internal detection defect excavation list includes defect mileage and clock azimuth information;
a first determining unit 12, wherein the first determining unit 12 is configured to determine a first non-external pipe defect according to the internal detection defect excavation list;
a second obtaining unit 13, where the second obtaining unit 13 is configured to perform the first non-external pipe defect detection according to the first detection device to obtain a first detection result;
a first judging unit 14, wherein the first judging unit 14 is configured to judge whether the first detection result meets a first predetermined requirement;
a third obtaining unit 15, where the third obtaining unit 15 is configured to obtain a first complex detection instruction when the first detection result does not satisfy a first predetermined requirement;
a fourth obtaining unit 16, where the fourth obtaining unit 16 is configured to perform, according to the first complex detection instruction, first non-external pipe defect detection by using second detection equipment, and obtain a second detection result;
a second judging unit 17, where the second judging unit 17 is configured to judge a defect type of the first non-external pipe defect according to the second detection result.
Further, the system further comprises:
and the third judging unit is used for judging the defect type of the first non-external pipeline defect according to the first detection result when the first detection result meets a first preset requirement.
Further, the system further comprises:
a fifth obtaining unit configured to obtain signal quantity information according to the first detection result;
a fourth judging unit configured to judge whether the signal number information satisfies a first predetermined number threshold;
a sixth obtaining unit, configured to obtain a first signal distance feature judgment instruction when the signal quantity information satisfies the first predetermined quantity threshold;
a seventh obtaining unit, configured to perform signal distance feature determination on the first detection result according to the first signal distance determination instruction, to obtain a first determination result;
an eighth obtaining unit, configured to obtain a defect type determination result of the first non-external pipe defect according to the first determination result.
Further, the system further comprises:
a ninth obtaining unit configured to obtain a first movement rule of a first detection device when the signal quantity information does not satisfy the first predetermined quantity threshold;
a tenth obtaining unit, configured to obtain a signal change rule of the signal quantity information;
a fifth judging unit, configured to judge whether the signal change rule and the first movement rule have a first matching degree;
the first output unit is used for outputting the result that the first non-external pipeline defect is the body layering defect when the signal change rule and the first movement rule have the first matching degree.
Further, the system further comprises:
an eleventh obtaining unit configured to obtain a waveform detection feature from the second detection result;
a sixth determination unit configured to perform a defect type determination of the first non-external pipe defect according to the waveform detection characteristic.
Further, the system further comprises:
the device comprises a first construction unit, a second construction unit and a third construction unit, wherein the first construction unit is used for constructing a first waveform feature set, and the first waveform feature set is a waveform set corresponding to the internal metal loss defect feature;
a seventh determining unit, configured to determine whether the waveform detection feature matches the first waveform feature set, and output a result that the first non-external pipe defect is an internal metal loss defect when the waveform detection feature matches the first waveform feature set.
Further, the system further comprises:
the second construction unit is used for constructing a second waveform feature set, wherein the second waveform feature set is a waveform set corresponding to the body layering defect feature;
and the second output unit is used for judging whether the waveform detection features are matched with the second waveform feature set or not, and outputting the result that the first non-external pipeline defect is the body layering defect when the waveform detection features are matched with the second waveform feature set.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to figure 10,
based on the same inventive concept as the method for detecting the type of the non-external defect of the pipeline in the oil and gas pipeline excavation field in the previous embodiment, the embodiment of the application also provides a system for detecting the type of the non-external defect of the pipeline in the oil and gas pipeline excavation field, which comprises the following steps: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of the first aspects.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 10, but this is not intended to represent only one bus or type of bus.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.
The memory 301 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disk read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement a method for detecting a non-external defect type of a pipeline in an oil and gas pipeline excavation field provided by the above-mentioned embodiment of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.
Claims (9)
1. A method for detecting non-external defect types of pipelines in an oil and gas pipeline excavation site, wherein the method is applied to an intelligent non-external defect detection system which is in communication connection with a first detection device and a second detection device, and the method comprises the following steps:
obtaining an internal detection defect excavation list, wherein the internal detection defect excavation list comprises defect mileage and clock azimuth information;
determining a first non-external pipeline defect according to the internal detection defect excavation list;
detecting the defect of the first non-external pipeline according to the first detection equipment to obtain a first detection result;
judging whether the first detection result meets a first preset requirement or not;
when the first detection result does not meet a first preset requirement, obtaining a first complex detection instruction;
according to the first complex detection instruction, performing first non-external pipeline defect detection through the second detection equipment to obtain a second detection result;
and judging the defect type of the first non-external pipeline defect according to the second detection result.
2. The method of claim 1, wherein the method further comprises:
and when the first detection result meets a first preset requirement, judging the defect type of the first non-external pipeline defect according to the first detection result.
3. The method of claim 1, wherein said determining whether said first detection result satisfies a first predetermined requirement further comprises:
acquiring signal quantity information according to the first detection result;
judging whether the signal quantity information meets a first preset quantity threshold value or not;
when the signal quantity information meets the first preset quantity threshold, obtaining a first signal distance characteristic judgment instruction;
performing signal distance characteristic judgment of the first detection result according to the first signal distance judgment instruction to obtain a first judgment result;
and obtaining a defect type judgment result of the first non-external pipeline defect according to the first judgment result.
4. The method of claim 3, wherein said determining whether said signal quantity information satisfies a first predetermined quantity threshold further comprises:
when the signal quantity information does not meet the first preset quantity threshold value, obtaining a first movement rule of the first detection device;
obtaining a signal change rule of the signal quantity information;
judging whether the signal change rule and the first movement rule have a first matching degree;
and when the signal change rule and the first movement rule have the first matching degree, outputting the result that the first non-external pipeline defect is a body layering defect.
5. The method of claim 1, wherein the method further comprises:
obtaining a waveform detection characteristic according to the second detection result;
and judging the defect type of the first non-external pipeline defect according to the waveform detection characteristics.
6. The method of claim 5, wherein the method further comprises:
constructing a first waveform feature set, wherein the first waveform feature set is a waveform set corresponding to the internal metal loss defect feature;
and judging whether the waveform detection features are matched with the first waveform feature set, and outputting the first non-external pipeline defect as an internal metal loss defect when the waveform detection features are matched with the first waveform feature set.
7. The method of claim 5, wherein the method further comprises:
constructing a second waveform feature set, wherein the second waveform feature set is a waveform set corresponding to the body layering defect feature;
and judging whether the waveform detection features are matched with the second waveform feature set, and outputting the first non-external pipeline defect as a result of the body layering defect when the waveform detection features are matched with the second waveform feature set.
8. A system for detecting a type of non-external pipeline defect at an oil and gas pipeline excavation site, the system comprising:
the device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining an internal detection defect excavation list, and the internal detection defect excavation list comprises defect mileage and clock azimuth information;
the first determining unit is used for determining a first non-external pipeline defect according to the internal detection defect excavation list;
a second obtaining unit, configured to perform the first non-external pipe defect detection according to the first detection device, and obtain a first detection result;
the first judging unit is used for judging whether the first detection result meets a first preset requirement or not;
a third obtaining unit, configured to obtain a first complex detection instruction when the first detection result does not meet a first predetermined requirement;
a fourth obtaining unit, configured to perform, according to the first complex detection instruction, first non-external-pipe defect detection by using second detection equipment, and obtain a second detection result;
a second judging unit, configured to perform defect type judgment on the first non-external pipe defect according to the second detection result.
9. A system for detecting a type of non-external defect in a pipeline at an oil and gas pipeline excavation site, comprising: a processor coupled with a memory for storing a program that, when executed by the processor, causes a system to perform the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111462010.3A CN114152422B (en) | 2021-12-02 | 2021-12-02 | Method for detecting type of non-external defect of pipeline in oil and gas pipeline excavation site |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111462010.3A CN114152422B (en) | 2021-12-02 | 2021-12-02 | Method for detecting type of non-external defect of pipeline in oil and gas pipeline excavation site |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114152422A true CN114152422A (en) | 2022-03-08 |
| CN114152422B CN114152422B (en) | 2024-04-05 |
Family
ID=80455989
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111462010.3A Active CN114152422B (en) | 2021-12-02 | 2021-12-02 | Method for detecting type of non-external defect of pipeline in oil and gas pipeline excavation site |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114152422B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE1905213A1 (en) * | 1968-02-02 | 1969-09-04 | Ti Group Services Ltd | Method and device for checking for defects in pipes using ultrasound |
| JPS6098364A (en) * | 1983-11-04 | 1985-06-01 | Nippon Steel Corp | Ultrasonic flaw detection of welded part of electric welded tube |
| JPH09318608A (en) * | 1996-05-27 | 1997-12-12 | Hitachi Ltd | Material non-destructive inspection method and its apparatus |
| US6425283B1 (en) * | 1998-03-31 | 2002-07-30 | Mueller Sepp | Device for monitoring leakage for long durations, especially for use in flat tank structures |
| US20100064495A1 (en) * | 2007-02-28 | 2010-03-18 | Jfe Steel Corporation | Quality control method and manufacturing method for pipe |
| CN104198583A (en) * | 2014-09-09 | 2014-12-10 | 上海交通大学 | Ultrasonic echo measurement method and ultrasonic echo measurement device for debonding defect detection of common-base sandwich member |
| CN107477374A (en) * | 2017-09-30 | 2017-12-15 | 必必优（深圳）科技有限公司 | A kind of pipe leakage acoustic detector, system and method |
| CN109900783A (en) * | 2019-02-20 | 2019-06-18 | 中国石油化工股份有限公司 | A kind of interior recognition methods for detecting inside and outside defect of oil-gas pipeline leakage field |
| US20210209739A1 (en) * | 2018-08-27 | 2021-07-08 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Battery detection method and device |
-
2021
- 2021-12-02 CN CN202111462010.3A patent/CN114152422B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE1905213A1 (en) * | 1968-02-02 | 1969-09-04 | Ti Group Services Ltd | Method and device for checking for defects in pipes using ultrasound |
| JPS6098364A (en) * | 1983-11-04 | 1985-06-01 | Nippon Steel Corp | Ultrasonic flaw detection of welded part of electric welded tube |
| JPH09318608A (en) * | 1996-05-27 | 1997-12-12 | Hitachi Ltd | Material non-destructive inspection method and its apparatus |
| US6425283B1 (en) * | 1998-03-31 | 2002-07-30 | Mueller Sepp | Device for monitoring leakage for long durations, especially for use in flat tank structures |
| US20100064495A1 (en) * | 2007-02-28 | 2010-03-18 | Jfe Steel Corporation | Quality control method and manufacturing method for pipe |
| CN104198583A (en) * | 2014-09-09 | 2014-12-10 | 上海交通大学 | Ultrasonic echo measurement method and ultrasonic echo measurement device for debonding defect detection of common-base sandwich member |
| CN107477374A (en) * | 2017-09-30 | 2017-12-15 | 必必优（深圳）科技有限公司 | A kind of pipe leakage acoustic detector, system and method |
| US20210209739A1 (en) * | 2018-08-27 | 2021-07-08 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Battery detection method and device |
| CN109900783A (en) * | 2019-02-20 | 2019-06-18 | 中国石油化工股份有限公司 | A kind of interior recognition methods for detecting inside and outside defect of oil-gas pipeline leakage field |
Non-Patent Citations (1)
| Title |
|---|
| 陈健飞等: "埋地管道外检测技术在油田油气集输管线检测中的应用", 现代制造技术与装备, no. 03, 15 July 2011 (2011-07-15) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114152422B (en) | 2024-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9581520B2 (en) | System to screen for longitudinal-seam anomalies | |
| JP5113340B2 (en) | Method and system for inspecting an object using ultrasonic scanning data | |
| CN109190272B (en) | Concrete structure defect detection method based on elastic waves and machine learning | |
| WO2017008621A1 (en) | Micro-magnetic detection method and device | |
| EP3236254A1 (en) | Ultrasonic system and method for determining porosity in composite materials. | |
| US7706988B2 (en) | Method for improved crack detection and discrimination using circumferential magnetic flux leakage | |
| CN109239081B (en) | Weld quality parameter detection method based on structured light and visual imaging | |
| Caleyo et al. | Criteria for performance assessment and calibration of in-line inspections of oil and gas pipelines | |
| CN115803619A (en) | Information processing device, determination method, and information processing program | |
| JP2019197007A (en) | Determination device, determination program, and determination method of ultrasonic flaw detection | |
| US8660804B2 (en) | Measuring method and system for components, in particular for pistons and piston engines | |
| CN115836218A (en) | Inspection device, inspection method, and inspection program | |
| CN116776103B (en) | Intelligent welding line detection regulation and control system and method based on machine vision | |
| CN114152422B (en) | Method for detecting type of non-external defect of pipeline in oil and gas pipeline excavation site | |
| JP3581333B2 (en) | A method for estimating the shape and size of internal corrosion of pipes using the echo height of ultrasonic pulses | |
| CN113557429A (en) | Ultrasonic flaw detection method, ultrasonic flaw detection device, steel product manufacturing facility, steel product manufacturing method, and steel product quality management method | |
| KR102044990B1 (en) | Ultrasonic testing method | |
| JP5033152B2 (en) | Ultrasonic inspection apparatus and ultrasonic inspection method | |
| JP2019109107A (en) | Ultrasonic flaw detection method, ultrasonic flaw detection device, manufacturing equipment row of steel material, manufacturing method of steel material, and quality assurance of steel material | |
| CN107178710A (en) | Discrimination method inside and outside a kind of defect of pipeline based on inside and outside detection signal characteristic abstraction | |
| CN113899785A (en) | Detection method for lithium battery based on ultrasonic and infrared flaw detection | |
| CN109923410B (en) | Method for detecting material inhomogeneities | |
| JP5431905B2 (en) | Nondestructive inspection method and nondestructive inspection apparatus using guide wave | |
| JP5150302B2 (en) | Ultrasonic inspection data evaluation apparatus and ultrasonic inspection data evaluation method | |
| Bauer et al. | Detection and sizing of subcritical cracks using ultrasonic in-line inspection methods |
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 |