CN114152422B - Method for detecting type of non-external defect of pipeline in oil and gas pipeline excavation site - Google Patents
Method for detecting type of non-external defect of pipeline in oil and gas pipeline excavation site Download PDFInfo
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Abstract
The invention provides a method for detecting non-external defect type of a pipeline 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 the internal detection defect excavation list; performing first non-external pipeline defect detection 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 the first preset requirement, a first repeated detection instruction is obtained; according to the first repeated 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 of inaccurate defect classification caused by the fact that loss defects existing in the congenital process of metals cannot be accurately identified in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of 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 conveying mode of petroleum and natural gas at present, the advantage of buried long-distance conveying pipelines is increasingly outstanding. However, due to the complex operating 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 needs to be carried out on the pipeline, and various targeted risk slowing measures are further implemented, so that the risk of the pipeline is controlled within a reasonable and acceptable range, 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 mainly uses nondestructive detection equipment in a pipeline and an intelligent pipe cleaner (also called an internal detector) of a data acquisition and storage device to record the size and the position of a pipeline defect in real time in the process of scanning and running along with a medium in the pipeline, and the pipeline can be subjected to full line detection by one-time operation, so that the defect is excavated, verified and maintained according to the defect type.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
In the prior art, due to the fact that congenital loss defects in metal layering cannot be accurately identified, the technical problem of inaccurate defect classification exists.
Disclosure of Invention
According to the method for detecting the type of the non-external defects of the pipeline in the oil and gas pipeline excavation site, the technical problem that the defect classification is inaccurate due to the fact that loss defects existing in the prior art cannot be accurately identified. Through reading the internal detection defect excavation list, each defect has corresponding mileage information and clock azimuth information, then non-external pipeline defects are extracted from the internal detection defect excavation list, the first detection equipment is used for detecting the non-external pipeline defects, when the detection result meets the preset requirement, the second detection equipment is used for rechecking the non-external pipeline defects, the defect types are judged according to the rechecking information, the identification capability of the internal defects of the pipeline is improved, and the technical effect of guaranteeing the identification accuracy of the non-external pipeline defects is achieved.
In view of the above problems, embodiments of the present application provide a method for detecting a type of non-external defect of a pipeline in an oil and gas pipeline excavation site.
In a first aspect, an embodiment of the present application provides a method for detecting a non-external defect type of a pipeline in an oil and gas pipeline excavation site, where the method is applied to an intelligent non-external defect detection system, and the system is in communication connection with a first detection device and a second detection device, 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; performing the first non-external pipeline defect detection 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, a first repeated detection instruction is obtained; according to the first repeated 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, embodiments of the present application provide a system for detecting a type of non-external defect in a pipeline in an oil and gas pipeline excavation site, the system comprising: the first obtaining unit is used for obtaining an internal detection defect excavation list, wherein 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 inner detection defect excavation list; the second obtaining unit is used for carrying out the first non-external pipeline defect detection according to the first detection equipment to 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 repeated detection instruction when the first detection result does not meet a first predetermined requirement; the fourth obtaining unit is used for carrying out first non-external pipeline defect detection through second detection equipment according to the first repeated detection instruction to obtain a second detection result; and the second judging unit is used for judging the defect type of the first non-external pipeline defect according to the second detection result.
In a third aspect, embodiments of the present application provide a system for detecting a type of non-external defect in a pipeline in an oil and gas pipeline excavation site, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of the first aspects when the program is executed by the processor.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
due to the adoption of 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; performing the first non-external pipeline defect detection 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, a first repeated detection instruction is obtained; according to the first repeated 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 of judging the defect type of the first non-external pipeline defect according to the second detection result, through reading an internal detection defect excavation list, each defect has corresponding mileage information and clock azimuth information, then extracting the non-external pipeline defect from the internal detection defect excavation list, detecting the non-external pipeline defect by using first detection equipment, and rechecking the non-external pipeline defect by using second detection equipment when the detection result meets the preset requirement, judging the defect type according to rechecking information, improving the identification capability of the pipeline internal defect, and achieving the technical effect of guaranteeing the precision of identifying the non-external pipeline defect.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting non-external defect types of a pipeline in an oil and gas pipeline excavation site according to an embodiment of the application;
FIG. 2 is a waveform diagram of a dual-crystal straight probe for detecting metal loss defects in the interior/inner wall of a pipeline;
FIG. 3 is a waveform diagram of a dual-crystal straight probe for detecting a delamination defect of a pipeline body;
FIG. 4 is a waveform of a diagonal probe for detecting metal loss defects in the interior/inner wall of a pipe and for detecting defects in the pipe;
FIG. 5 is a waveform diagram of a probe for detecting a delamination defect of a pipeline body;
FIG. 6 is a diagram of a detection signal of a defect double-crystal straight probe of No. 2;
FIG. 7 is a diagram of a detection signal of a defective bimorph probe No. 3;
FIG. 8 is a graph of a detection signal of a defect transverse wave oblique probe of No. 4;
FIG. 9 is a schematic structural diagram of a system for detecting non-external defect types of pipelines in 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.
Reference numerals illustrate: 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
According to the method for detecting the type of the non-external defects of the pipeline in the oil and gas pipeline excavation site, the technical problem that the defect classification is inaccurate due to the fact that loss defects existing in the prior art cannot be accurately identified. Through reading the internal detection defect excavation list, each defect has corresponding mileage information and clock azimuth information, then non-external pipeline defects are extracted from the internal detection defect excavation list, the first detection equipment is used for detecting the non-external pipeline defects, when the detection result meets the preset requirement, the second detection equipment is used for rechecking the non-external pipeline defects, the defect types are judged according to the rechecking information, the identification capability of the internal defects of the pipeline is improved, and the technical effect of guaranteeing the identification accuracy of the non-external pipeline defects is achieved.
Summary of the application
As the main conveying mode of petroleum and natural gas at present, the advantage of buried long-distance conveying pipelines is increasingly outstanding. However, due to the complex operating 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 needs to be carried out on the pipeline, and various targeted risk slowing measures are further implemented, so that the risk of the pipeline is controlled within a reasonable and acceptable range, 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 mainly uses nondestructive detection equipment in a pipeline and an intelligent pipe cleaner (also called an internal detector) of a data acquisition and storage device to record the size and the position of a pipeline defect in real time in the process of scanning and running along with a medium in the pipeline, and the pipeline can be subjected to full line detection by one-time operation, so that the defect is excavated, verified and maintained according to the defect type. However, in the prior art, due to the fact that congenital loss defects in metal layering cannot be accurately identified, the technical problem of inaccurate defect classification exists.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
The embodiment of the application provides a detection method of a pipeline non-external defect type in 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; performing the first non-external pipeline defect detection 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, a first repeated detection instruction is obtained; according to the first repeated 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 described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for detecting a non-external defect type of a pipeline in an oil and gas pipeline excavation site, where the method is applied to an intelligent non-external defect detection system, and the system is in communication connection with a first detection device and a second detection device, 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 is required to be subjected to excavation verification by evaluating and screening detection results of internal detection of a pipeline. Furthermore, the detection in the pipeline is realized by utilizing 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 defect of the pipeline are recorded in real time in the process of scanning and running along with the medium in the pipeline, and the pipeline can be subjected to full line detection by one-time operation, thereby being a convenient quantitative detection method with higher reliability. The defect mileage information refers to data representing the depth of a defect on the premise of knowing the position of the defect; the clock azimuth information refers to data representing the defect direction on the premise of knowing the defect position. 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 inner detector can be classified into various types such as a magnetic flux leakage inner detector, an ultrasonic inner detector, etc. according to different detection principles. If the in-pipe detection is performed by using the in-leakage detector, the defect is generally indicated as an internal or external defect of the pipe in the in-leakage detection result list, and the detection and discrimination principle is as follows: and simultaneously installing a Hall sensor and an eddy current sensor in the detector, and synchronously displaying image data at the output end of the signal processing circuit. When both can detect the defect signal of the pipe body at the same time, the defect is defined as an 'internal defect' on the inner wall of the pipe; when only the hall sensor detects the defect, the defect is proved not to be on the inner wall of the pipeline, and the defect is marked as an external defect. Further, the most common type of defect in long-distance pipelines is the "metal loss type defect", which mainly includes corrosion and scratches. Both defects are metal surface defects, so the "inside/outside" defect can be considered 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 such as the defect positions, the defect number, the defect area size, the defect mileage information, the defect clock information and the like which are set in a self-defining mode.
And the defects of the detection result in the pipeline are evaluated according to preset requirements, and an internal detection defect excavation list which needs excavation verification is screened out, so that the safety and the conveying stability of the oil and gas pipeline are ensured.
Exemplary in-detect defect excavation lists are as follows: in the process of detecting the magnetic leakage of a crude oil pipeline with the phi 426mm and the wall thickness of 8mm, the serious external metal loss defect at 4 positions is found. In order to verify and detect the working quality of contractors, and simultaneously facilitate the establishment of a subsequent reasonable maintenance plan, the on-site excavation verification work is required to be carried out on defects, wherein the work totally involves 4 excavation points, the specific defect information is shown in table 1, and the following notes are given: wt% means the percentage of wall thickness.
Table 1 excavation verification defect list
And respectively carrying out field excavation at each excavation point, stripping the outer anti-corrosion layer of the pipeline at the excavation point, and preliminarily finding the approximate position of the defect by combining the defect mileage and the clock azimuth 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 which does not belong to the outer wall/outside, including a delamination defect and a metal loss defect which belongs to the inner wall/inside, wherein the delamination defect refers to a metal loss defect in another form except corrosion and scratch in the pipe body, and is a congenital defect in the steel plate caused by the existence of bubbles, nonmetallic inclusions or folding in the steel ingot during rolling of the steel plate.
The determination method is exemplified by: the layering defects can be divided into two major types, namely edge layering and middle layering defects, defects in the pipeline belong to the middle layering, the defects can be detected by a Hall sensor, but the defects cannot be detected by an eddy current sensor responsible for distinguishing the inner part from the outer part due to a certain distance between the defects and the inner wall of the steel pipe, so that display signals cannot be output. However, according to the principle of judging the inside and outside of the defect detected in the magnetic leakage, the layering is classified as "external metal loss", and is further regarded as "external wall" metal loss by experience, and excavation repair is possibly implemented, and as a result, the "external wall" defect cannot be found in the field naturally. Further, in the process of excavation, as the defect of the outer wall cannot be found, the defect of the outer wall is regarded as an internal and external type judgment error of the defect of the internal detection contractor, the defect type is recorded as an internal metal loss on an excavation verification report, namely, the defect exists, but the defect is regarded as an internal metal loss, the possibility of layering defects is not considered, the residual wall thickness of the pipeline is detected at a corresponding position by utilizing 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, and the actual wall thickness of the pipeline is not changed greatly, so that the measured wall thickness is smaller than the actual wall thickness, and further, unnecessary maintenance work is caused. After excavation verification, the "outer wall" defect classified as "outer metal loss" but not found, and the inner metal loss defect are collectively labeled as the first non-outer pipe defect. And correspondingly storing the defects and the defect mileage of the first non-external pipeline and the clock azimuth, so that the feedback processing of the backward stepping information is facilitated.
S300: performing the first non-external pipeline defect detection according to the first detection equipment to obtain a first detection result;
specifically, the first detection device is an instrument for nondestructive detection of a first non-external pipeline defect, preferably an A-type pulse reflection ultrasonic detection method using a double-crystal straight probe assisted by an inclined probe is used for distinguishing defect types, in view of the fact that the oil and gas pipeline is thinner in wall thickness, particularly the oil pipeline is only a few millimeters thick, in order to overcome the influence of blind areas of the single-crystal straight probe, the double-crystal straight probe is preferably suitable for detecting near-surface defects and thin-wall workpieces for flaw detection, but because the double-crystal straight probe is used for detecting a layering defect main body area, waveform characteristics of defect echoes are consistent with waveform characteristics of internal/inner wall metal loss defects, only different signal characteristics can be seen at the edges of the defects, the part of echo signals are sometimes submerged by clutter in actual operation, capture is difficult, and the situation that the inclined probe is also needed to be considered for assisting in use is encountered.
The first detection result is obtained by detecting the first non-external pipeline defect through the first detection equipment. Further, different types of defect information are characterized in the first detection result by waveform characteristic information, where bulk delamination defects and internal/internal wall defects are mainly distinguished, by way of example:
The internal/internal wall metal loss defect characteristics are as follows: as shown in fig. 2, 1 indicates the transmitted pulse, 2 indicates the internal/internal wall metal loss, 3 indicates the pipe outer wall, 4 indicates the probe, 5 indicates the bottom/defect echo, when the probe is in the defect position, two signals of the transmitted pulse T and the bottom echo B are visible on the detector screen (see fig. 2 a), and the distance between T, B gradually increases to be stable as the probe moves from the defect to the defect edge and then to the pipe body (see fig. 2B-d);
the body layering defect features are as follows: as shown in fig. 3, 1 represents a transmitting pulse, 2 represents a layered defect of the pipeline body, 3 represents the pipeline 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 transmitting pulse T and the defect echo F are shown in a waveform diagram (see fig. 3 a); as the probe moves from the defect to the edge of the defect, three signals of a transmitted pulse T, a defect echo F (caused by the reflection of the layered upper surface) and a bottom echo B are seen from left to right on the waveform diagram (see fig. 3B); the probe continues to move to the defect-free position of the pipe body, and only two signals of the transmitted pulse T and the bottom echo B are remained on the waveform diagram (see figure 3 c). Most of the first non-external pipeline defects can be classified according to 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 pipeline defect can be classified according to the first detection result, and the classification is applicable to the classification of the first non-external pipeline defect type with larger distinguishing size, wherein the distinguishing emphasis is that 3 signal features can be observed at the edge of the layered defect, but if the defect size is smaller (for example, smaller than the wafer size), the defect wave can be annihilated by the probe clutter, and if the defect wave is in the condition, an auxiliary oblique probe is needed to be considered, and the defect type is judged according to the waveform; the first predetermined requirement is a preset waveform disorder degree, and preferably: the detection waveform at the time of defect type cannot be judged from the waveform. Defects of smaller size which cannot be judged by the first detection result are extracted through the first preset requirement and further processed, and exemplary defects are judged according to waveforms, wherein the defects are detected in an auxiliary mode by using an oblique probe.
S500: when the first detection result does not meet a first preset requirement, a first repeated detection instruction is obtained;
s600: according to the first repeated 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 preset requirement, the first detection result indicates that the defect type cannot be judged, and the second detection device is controlled to detect the defect of the first non-external pipeline through the first repeated 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 the defect which does not meet the first preset requirement in the first non-external pipeline through the second detection equipment. The second detection result can be used for accurately judging the type of the defect according to the waveform, and 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 waveform detection characteristics 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 bulk delamination defects and internal/internal wall defects are mainly distinguished, by way of example:
As shown in fig. 4, 1 denotes the transmitted pulse (start wave), 2 denotes the internal/inner wall metal loss, 3 denotes the inclined probe, and 4 denotes the defect-free pipe inner wall. Defect free pipe and internal/internal wall metal loss defect characteristics are as follows: no obvious reflected wave, i.e. 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 an oblique probe, and 4 denotes a defect echo. The body layering defect features are as follows: at the layered defect boundaries, reflected waves occur, i.e. the onset wave and defect echo are observed on the display screen.
Exemplary are: table 2 defect excavation verification result record table
As shown in Table 2, for defect No. 1, the existence of obvious corrosion pits on the outer wall of the pipeline can be directly observed by naked eyes, the defect types are consistent with the defect types reported by the detection list, the defect types of the inner detection contractors are considered to be judged to be qualified, additional detection judgment is not needed, and 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 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 is not found, and the external metal loss is inconsistent with the detection list, so that the defect type judgment of the detection contractor is considered to be inaccurate, and the defect development type judgment is required to be further carried out by using a double-crystal straight probe.
(1) At the defect position of the No. 2 detector screen, two signals of a transmitting pulse T and a bottom surface/defect echo B can be seen (see fig. 6,1 represents the transmitting pulse, 2 represents the probe, 3 represents the detecting surface of the outer wall of the pipeline, 4 represents the bottom surface/defect echo), and the distance between T, B is gradually reduced, increased and then stabilized along with the unidirectional movement of the bimorph probe, so that the defect is proved to be an internal/inner wall metal loss defect.
(2) At defect number 3, along with the unidirectional movement of the bimorph probe, the number of signals on the screen of the detector can be changed into 2, 3, 2, 3 and 2 in sequence (see fig. 7,1 shows the transmitted pulse, 2 shows the probe, 3 shows the detection surface of the outer wall of the pipeline, 4 shows the bottom echo, 5 shows the defect echo), which indicates that the defect is a body layering defect, and the defect is between two detection positions for generating 3 signals (namely, between fig. 7b and fig. 7 d).
(3) At the defect position 4 (see fig. 8,1 shows the transmitted pulse, 2 shows the probe, 3 shows the detection surface of the outer wall of the pipeline, and 4 shows the defect echo), the number of signals on the screen of the detector is basically kept to be two along with the unidirectional movement of the double-crystal probe, and the distance between two signal peaks is changed along with the movement of the probe, but clutter signals between the two signal peaks are more, whether a third peak exists or not is difficult to judge, and the transverse wave oblique probe is required to be used for auxiliary detection at the moment. Based on the determined specific defect position of the bimorph straight probe, the transverse wave inclined probe scans the specific defect position, and if the number of signals on a screen of the detector is changed from 1 to 2 along with unidirectional movement of the probe, the defect is indicated to be a body layering defect.
The type judgment is carried out on the body layering defect and the internal/internal wall defect through the characteristics, the accuracy of type judgment is improved, accurate reference data is provided for providing important reference basis for further making a maintenance plan, and the follow-up measurement work is carried out on the basis, so that the results of the residual wall thickness of the pipeline and the like can be 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 preset requirement, the defect type of the first non-external pipeline defect can be accurately judged through the first detection result, so that the corresponding defect type judgment is directly carried out by using the first detection result, the increase of detection workload by using second detection equipment is avoided, and the processing efficiency is reduced.
Further, based on the determining whether the first detection result meets a first predetermined requirement, step S400 further includes:
s410: obtaining 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 value, a first signal distance characteristic judging instruction is obtained;
s440: signal distance characteristic judgment of the first detection result is carried out according to the first signal distance judgment instruction, and a first judgment result is obtained;
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 the first non-external pipeline defect is detected by using first detection equipment; the first preset quantity threshold is preset to be a quantity threshold for judging the defect type. If the first predetermined number of threshold values is 3 preset wave patterns, the first detection device is moved from left to right, the obtained signals are three signals of a transmission pulse T, a defect echo F (caused by reflection of the upper surface of the layer) and a bottom echo B from left to right, the signal number information is compared with the first predetermined number of threshold values, if three signals of the transmission pulse T, the defect echo F (caused by reflection of the upper surface of the layer) and the bottom echo B appear, and it is indicated that the signal number information does not meet the first predetermined number of threshold values, the defect type may be determined as a layer defect; when two signals of the transmitting pulse T and the bottom echo B or other quantity signals appear, the quantity information of the signals is indicated to meet the first preset quantity threshold, the first signal distance judging instruction is an instruction for judging the distance between the signals sent by the transmitting pulse T and the bottom echo B, the two signals can be determined to be internal/inner wall defects, and the position of the defects can be judged by detecting the distance between the signals; when other numbers of signals are present, indicating that the current detection result is difficult to distinguish, detection by the second detection device is required. The defect type can be judged by the number of the signals, and the position of the defect is judged by the signal distance, so that accurate data is provided for the backward stepping measurement.
Further, based on the determining whether the signal quantity information meets the first predetermined quantity threshold, step S420 further includes:
s421: when the signal quantity information does not meet the first preset quantity threshold value, a first movement rule of the first detection equipment is obtained;
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 or not;
s425: and outputting a result that the first non-external pipeline defect is a body layering defect when the signal change rule and the first movement rule have the first matching degree.
Specifically, when the signal number information does not satisfy the first predetermined number threshold, even if the current signal is three signals of a transmission pulse T, a defect echo F (the defect echo is caused by the upper surface reflection of the delamination) and a bottom echo B, if the order is wrong, it is still difficult to determine whether the current signal is a body delamination defect, and further, the first movement rule of the first detection device, preferably the left-right movement, is collected, and the record is that: left-to-right or right-to-left, etc.; the signal change rule of the signal quantity information refers to signal types which appear in sequence from left to right; and matching the signal change rule with the first movement rule, and outputting the first non-external pipeline defect as a body layering defect if the signal change rule is in accordance with the first matching degree. Exemplary: if the first detection device moves from left to right, three signals of a transmitting pulse T, a defect echo F (the defect echo is caused by layered upper surface reflection) and a bottom echo B appear in sequence from left to right, so that the first matching degree is provided.
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 internal metal loss defect features;
s920: judging whether the waveform detection feature is matched with the first waveform feature set, and outputting a result that the first non-external pipeline defect is an internal metal loss defect when the waveform detection feature is matched with the first waveform feature set.
Specifically, the first waveform feature set is a waveform set corresponding to the characteristic internal/inner wall metal loss defect feature detected by the first detection device and the second detection device under different conditions; and matching the detected waveform detection characteristics with the first waveform characteristic set under the same detection conditions, and outputting the first non-external pipeline defect detected currently as an internal metal loss defect if the detection conditions and the waveform detection characteristics are matched. The detection result can be rapidly analyzed and identified through the first waveform characteristic 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: judging whether the waveform detection feature is matched with the second waveform feature set, and outputting a result that the first non-external pipeline defect is a body layering defect when the waveform detection feature is matched with the second waveform feature set.
Specifically, the second waveform feature set is a waveform set corresponding to the characteristic body layering defect feature detected by the first detection device and the second detection device under different conditions; and matching the detected waveform detection characteristics with the second waveform characteristic set under the same detection condition, and outputting the currently detected first non-external pipeline defect as a body layering defect if the detection conditions are matched with the waveform detection characteristics. The detection result can be rapidly analyzed and identified through the second waveform characteristic set, and the data processing efficiency is improved.
In summary, the method for detecting the type of the non-external defect of the pipeline in the oil and gas pipeline excavation site provided by the embodiment of the application has the following technical effects:
1. According to the method for detecting the type of the non-external defects of the pipeline in the oil and gas pipeline excavation site, the technical problem that the defect classification is inaccurate due to the fact that loss defects existing in the prior art cannot be accurately identified. Through reading the internal detection defect excavation list, each defect has corresponding mileage information and clock azimuth information, then non-external pipeline defects are extracted from the internal detection defect excavation list, the first detection equipment is used for detecting the non-external pipeline defects, when the detection result meets the preset requirement, the second detection equipment is used for rechecking the non-external pipeline defects, the defect types are judged according to the rechecking information, the identification capability of the internal defects of the pipeline is improved, and the technical effect of guaranteeing the identification accuracy of the non-external pipeline defects is achieved.
2. The embodiment of the application provides a method for judging two defect types of pipeline inner/inner wall metal loss defects and body layering in the field of detection and verification in magnetic leakage, and solves the problem that the detection result in the magnetic leakage of the oil-gas long-distance pipeline cannot accurately distinguish the pipe layering defects. The method has the advantages of high speed, low detection cost, light equipment and convenient field use, and the distinguishing result avoids unnecessary subsequent repair work caused by regarding certain pipeline body layering defects as pipeline inner/inner wall metal loss defects, so that the pipeline management maintenance cost can be obviously reduced.
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 foregoing embodiment, as shown in fig. 9, the embodiment of the application provides a system for detecting the type of the non-external defect of the pipeline at the oil and gas pipeline excavation site, which includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain an internal detection defect excavation list, and 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 pipeline 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 a first detection device, and obtain a first detection result;
a first judging unit 14, where 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 repeated detection instruction when the first detection result does not meet a first predetermined requirement;
a fourth obtaining unit 16, where the fourth obtaining unit 16 is configured to perform, according to the first repeated detection instruction, first non-external pipe defect detection by using a second detection device, and obtain a second detection result;
And a second judging unit 17, where the second judging unit 17 is configured to perform defect type judgment 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 quantity information satisfies a first predetermined quantity threshold;
a sixth obtaining unit configured to obtain a first signal distance feature judgment instruction when the signal number information satisfies the first predetermined number threshold;
a seventh obtaining unit, configured to perform signal distance feature judgment of the first detection result according to the first signal distance judgment instruction, to obtain a first judgment 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 number information does not satisfy the first predetermined number threshold;
a tenth obtaining unit configured to obtain a signal change rule of the signal quantity information;
the fifth judging unit is used for judging whether the signal change rule and the first movement rule have a first matching degree or not;
and the first output unit is used for outputting a result that the first non-external pipeline defect is a 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;
and the sixth judging unit is used for judging the defect type of the first non-external pipeline defect according to the waveform detection characteristics.
Further, the system further comprises:
the first construction unit is used for 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 a seventh judging unit, configured to judge 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 characteristic set, wherein the second waveform characteristic set is a waveform set corresponding to the body layering defect characteristic;
and the second output unit is used for judging whether the waveform detection feature is matched with the second waveform feature set, and outputting a result that the first non-external pipeline defect is a body layering defect when the waveform detection feature is matched with the second waveform feature set.
Exemplary electronic device
An electronic device of an 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 non-external defect type of the pipeline at the oil and gas pipeline excavation site in the previous embodiment, the embodiment of the application further provides a system for detecting the non-external defect type of the pipeline at the oil and gas pipeline excavation site, which comprises: a processor coupled to a memory for storing a program that, when executed by the processor, causes the system to perform the method of any of the first aspects.
The electronic device 300 includes: a processor 302, a communication interface 303, a 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 interconnected by a bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry Standard architecture, EISA) bus, among others. The bus architecture 304 may be divided into address buses, data buses, control buses, and the like. For ease of illustration, only one thick line is shown in fig. 10, but not only one bus or one type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of the programs of the present application.
The communication interface 303 uses any transceiver-like system for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local areanetworks, WLAN), wired access network, etc.
The memory 301 may be, but is not limited to, ROM or other type of static storage device that may store static information and instructions, RAM or other type of dynamic storage device that may store information and instructions, or may be an EEPROM (electrically erasable Programmable read-only memory), a compact disc-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, 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 bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for executing the embodiments of the present application, and is controlled by the processor 302 to execute the instructions. 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 site according to the above embodiment of the present application.
Alternatively, the computer-executable instructions in the embodiments of the present application may 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 appreciate that: the various numbers of first, second, etc. referred to in this application are merely for convenience of description and are not intended to limit the scope of embodiments of the present application, nor to indicate a sequence. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any one," or the like, refers to any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one of a, b, or c (species ) may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
The various illustrative logical blocks and circuits described in the embodiments of the present application may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic system, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the general purpose 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 of the present application may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software elements 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. In an example, a storage medium may be coupled to the processor such that 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 reside in a terminal. In the alternative, the processor and the storage medium may reside in different components in a 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 connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the present application. It will be apparent to those skilled in the art that various modifications and variations can 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 and the equivalents thereof, the present application is intended to include such modifications and variations.
Claims (6)
1. A method of detecting a type of non-external defect in an oil and gas pipeline excavation site pipeline, wherein the method is applied to an intelligent non-external defect detection system, the system being in communication connection with a first detection device and a second detection device, the method comprising:
obtaining an internal detection defect excavation list, namely screening out the internal detection defect excavation list which needs to be excavated and verified by evaluating defects of a detection result in a pipeline according to preset requirements, 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;
performing the first non-external pipeline defect detection 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, a first repeated detection instruction is obtained; 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;
according to the first repeated detection instruction, performing first non-external pipeline defect detection through the second detection equipment to obtain a second detection result;
judging the defect type of the first non-external pipeline defect according to the second detection result;
the determining whether the first detection result meets a first predetermined requirement further includes:
obtaining signal quantity information according to the first detection result, wherein the signal quantity information is the quantity of pulse echoes emitted to a defect position;
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 value, a first signal distance characteristic judging instruction is obtained;
Signal distance characteristic judgment of the first detection result is carried out according to the first signal distance judgment instruction, and a first judgment result is obtained;
obtaining a defect type judgment result of the first non-external pipeline defect according to the first judgment result;
the determining whether the signal quantity information meets a first predetermined quantity threshold value further includes:
when the signal quantity information does not meet the first preset quantity threshold value, a first movement rule of the first detection equipment is obtained;
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 or not;
and outputting a result that the first non-external pipeline defect is a body layering defect when the signal change rule and the first movement rule have the first matching degree.
2. The method of claim 1, wherein the method further comprises:
obtaining waveform detection characteristics according to the second detection result;
and judging the defect type of the first non-external pipeline defect according to the waveform detection characteristics.
3. The method of claim 2, wherein the method further comprises:
Constructing a first waveform feature set, wherein the first waveform feature set is a waveform set corresponding to internal metal loss defect features;
judging whether the waveform detection feature is matched with the first waveform feature set, and outputting a result that the first non-external pipeline defect is an internal metal loss defect when the waveform detection feature is matched with the first waveform feature set.
4. The method of claim 2, 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;
judging whether the waveform detection feature is matched with the second waveform feature set, and outputting a result that the first non-external pipeline defect is a body layering defect when the waveform detection feature is matched with the second waveform feature set.
5. A system for detecting a type of non-external defect in an oil and gas pipeline excavation site pipeline, the system comprising:
the first obtaining unit is used for obtaining an internal detection defect excavation list, specifically, screening the internal detection defect excavation list needing excavation verification by evaluating defects of a pipeline internal detection result according to preset requirements, wherein 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 inner detection defect excavation list;
the second obtaining unit is used for carrying out the first non-external pipeline defect detection according to the first detection equipment to 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 repeated detection instruction when the first detection result does not meet a first predetermined requirement;
the fourth obtaining unit is used for carrying out first non-external pipeline defect detection through second detection equipment according to the first repeated detection instruction to obtain a second detection result;
the second judging unit is used for judging the defect type of the first non-external pipeline defect according to the second detection result;
the system further comprises:
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;
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 quantity information satisfies a first predetermined quantity threshold;
a sixth obtaining unit configured to obtain a first signal distance feature judgment instruction when the signal number information satisfies the first predetermined number threshold;
a seventh obtaining unit, configured to perform signal distance feature judgment of the first detection result according to the first signal distance judgment instruction, to obtain a first judgment result;
an eighth obtaining unit configured to obtain a defect type judgment result of the first non-external pipe defect according to the first judgment result;
the system further comprises:
a ninth obtaining unit configured to obtain a first movement rule of a first detection device when the signal number information does not satisfy the first predetermined number threshold;
a tenth obtaining unit configured to obtain a signal change rule of the signal quantity information;
The fifth judging unit is used for judging whether the signal change rule and the first movement rule have a first matching degree or not;
and the first output unit is used for outputting a result that the first non-external pipeline defect is a body layering defect when the signal change rule and the first movement rule have the first matching degree.
6. A system for detecting a type of non-external defect in an oil and gas pipeline excavation site pipeline, comprising: a processor coupled to a memory for storing a program which, when executed by the processor, causes the system to perform the method of any one of claims 1 to 4.
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