CN115524392A - Underground industrial pipeline integrity detection and evaluation method and system, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a method for detecting and evaluating the integrity of underground industrial pipelines, which comprises the following steps: acquiring magnetic stress detection data of the underground industrial pipeline; acquiring low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the underground industrial pipeline; determining an excavation verification point according to the magnetic stress detection data and the low-frequency guided wave detection data; acquiring contact detection data of excavation verification points, and performing corrosion evaluation on the excavation verification points; and generating a repair response decision for the underground industrial pipe. The invention also discloses an underground industrial pipeline integrity detection and evaluation system, electronic equipment and a storage medium. By combining the trenchless detection technology with the trenchless detection technology, the invention not only ensures the integrity of underground industrial pipeline detection, but also ensures the accuracy of the detection result, thereby realizing full-coverage trenchless screening identification and partial trenchless quantitative evaluation and comprehensively mastering the defect condition of underground industrial pipelines in a factory.
Description
Technical Field
The invention relates to the technical field of detection and evaluation of industrial pipelines, in particular to a method and a system for detecting and evaluating the integrity of an underground industrial pipeline, electronic equipment and a storage medium.
Background
Underground industrial pipelines in factories such as refineries, stations and warehouses are various in types, such as an oil product conveying pipeline between tank areas of an oil depot, a crude oil conveying pipeline from a tank area to a refining device, a circulating water pipeline, a water supply pipeline and an oil-containing sewage pipeline of the refining device, a purging pipeline of an underground sewage tank and the like. The underground pipeline is laid among all devices, so that the internal and external detection and evaluation work cannot be effectively carried out, and hidden danger is brought to the running of the underground industrial pipeline. Although in recent years, by transforming underground pipe networks, part of underground pipelines are changed into overground overhead pipelines, so that the detection, the maintenance and the repair are convenient, and the operation risk of the pipelines is reduced. But still some pipelines are laid underground, and because the time span is long, pipeline data cannot be searched, the route trend of the pipeline cannot be clearly identified, and great hidden danger is caused to the production operation of the refining and chemical enterprises.
Integrity detection and evaluation are carried out on the underground industrial pipeline, so that the management level of the integrity of the pipeline can be improved, the running risk of the pipeline is reduced, and the safe production is guaranteed. However, for underground industrial pipelines, no effective detection and evaluation technical scheme is formed due to the limitation of detection environment. The basis of integrality detection and evaluation is to obtain accurate, comprehensive defect detection data, if excavate all pipelines, detect the operation that the cost that needs to drop into is high and influence the enterprise, compares the long distance pipeline that can detect through interior detection technology, and underground industrial pipeline is difficult to obtain comparatively comprehensive and quantitative detection data.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
One of the objectives of the present invention is to provide a method, a system, an electronic device and a storage medium for detecting and evaluating the integrity of an underground industrial pipeline, so as to obtain accurate and comprehensive defect detection data of the underground industrial pipeline.
Another objective of the present invention is to provide a method, a system, an electronic device, and a storage medium for detecting and evaluating the integrity of an underground industrial pipeline, so as to improve the efficiency of detecting and evaluating the underground industrial pipeline and reduce the influence of the detection process on the actual production.
Another objective of the present invention is to provide a method, a system, an electronic device and a storage medium for detecting and evaluating the integrity of an underground industrial pipeline, so as to improve the maintenance scheme of the underground industrial pipeline, reduce the potential safety hazard, and improve the safety of long-term continuous production.
In order to achieve the above object, according to a first aspect of the present invention, there is provided a method for testing and evaluating the integrity of underground industrial pipelines, comprising the steps of: acquiring magnetic stress detection data of the underground industrial pipeline; acquiring low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the underground industrial pipeline; determining an excavation verification point according to the magnetic stress detection data and the low-frequency guided wave detection data; acquiring contact detection data of the excavation verification points, and performing corrosion evaluation on the excavation verification points; and generating a repair response decision for the underground industrial pipe.
Further, in the above technical solution, the pipeline data includes pipeline construction data and a pipeline maintenance ledger.
Furthermore, in the above technical solution, the designated positions include a repair section, a casing section, a cross pipe section, a parallel pipe section, a flange, an earth inlet and outlet pipe section, and a hardened pavement section.
Further, in the above technical solution, the abnormal position of the magnetic stress detection data is a stress abnormal position.
Further, in the above technical solution, the magnetic stress detection data includes defect degree
Wherein, I and J are three coordinate directions of X, Y and Z of the magnetic signal; Δ H IJ Is the difference of the component in the direction of the magnetic vector J between the sensors arranged in the direction I; Δ L I The distance between the sensors arranged in the direction I.
Further, in the above technical solution, determining the excavation verification point according to the magnetic stress detection data includes: calculating the defect coefficient F of the specified position of the pipeline data at the complementary position in the abnormal position of the magnetic stress detection data ce ＝e -CQ Wherein C is a correction coefficient; and according to the defect coefficient F ce The pipe defects are classified into three grades, wherein:
when 0 is present<F ce When the defect level is less than or equal to 0.2, the pipeline defect level is first grade, and excavation verification is not needed;
when 0.2<F ce When the defect level of the pipeline is less than or equal to 0.6, the pipeline defect level is of the second level, and excavation verification needs to be planned; and
when 0.6<F ce When the defect level is less than or equal to 1.0, the pipeline defect level is three, and excavation verification is required immediately.
Further, among the above-mentioned technical scheme, confirming the excavation verification point according to low frequency guided wave detection data includes: dividing the low-frequency guided wave detection data into three levels according to a distance-amplitude curve family, wherein the distance-amplitude curve family consists of evaluation lines and discriminant lines, and the evaluation lines comprise:
if the low-frequency guided wave detection data are below the evaluation line, the pipeline defect grade is first grade, and excavation verification is not needed;
if the low-frequency guided wave detection data are on the evaluation line or between the evaluation line and the waste judgment line, the pipeline defect grade is of second grade, and excavation verification needs to be planned; and
and if the low-frequency guided wave detection data are at or above the waste judgment line, the pipeline defect level is at three levels, and excavation verification is required immediately.
Further, in the above technical scheme, the positions where the pipeline defect grades are the second-level and third-level are determined as excavation verification points.
Further, in the above technical solution, the contact detection data is acquired by using a nondestructive testing technique.
Further, in the above technical solution, the contact detection data includes a length, a width, and a depth of the defect.
Further, in the above technical scheme, the evaluating corrosion of the excavation verification point includes determining the residual strength and the residual life.
Further, in the above technical solution, the residual strength is measured by the estimated maintenance factor ERF,
ERF＝MAOP/P s ，
wherein MAOP is the maximum allowable operating pressure of the pipeline; p is s In order to ensure the safe working pressure at the defect,
wherein SMYS is the minimum yield strength of the pipeline; f is a design coefficient; t is the wall thickness of the pipeline; d is the diameter of the pipeline; d is the defect depth; m is the expansion factor of the plant cell,
when L is 2 When the ratio of the Dt to the total weight of the alloy is less than or equal to 50,
when L is 2 (Dt) >. At the time of 50 f, the temperature of the alloy is higher,
wherein L is the axial projection length of the corrosion defect.
Further, in the above technical scheme, the residual life
Wherein A is a correction coefficient; r is the corrosion rate; the SM is a safety margin,
wherein, P y Is the yield pressure.
Further, in the above technical solution, the maintenance response decision includes a maintenance response level, and the maintenance response level includes: immediate repair, the grade comprising pipe defects for which the estimated repair factor ERF > 1; pipeline defects with residual life RL of no more than 1 year; scratches, cracks or electric arc burns; bending and sinking; a recess containing corrosion and having a corrosion depth exceeding 40% of the pipe wall; a depression associated with the weld and having a depth exceeding 2% of the pipe diameter; and a depression having a depth exceeding 6% of the tube diameter; planning maintenance, wherein the grade comprises the pipeline defects with the estimated maintenance ratio of 0.9 to 1 or less of ERF; pipeline defects with residual life RL of 1-2 years; in the pipeline with the pipe diameter of more than or equal to 300mm, a recess which is irrelevant to the welding seam and has the depth of 2-6% of the pipe diameter; in the pipeline with the pipe diameter less than 300mm, the depth of the depression is more than 6.35mm and is irrelevant to the welding seam; containing pits which are corroded and the corrosion depth of which is 10 to 40 percent of the pipe wall; selective weld corrosion or corrosion along a weld; dents and grooves exceeding 12.5% of the pipe wall thickness; and pipeline defects located at intersections with other pipelines and having a depth exceeding 30% of the pipeline wall thickness; routine maintenance, the grade includes pipe defects that are not immediate and scheduled for repair.
Further, in the above technical solution, according to the industrial pipeline grade and the remaining life of the pipeline, the re-inspection time is determined for the pipeline defect of the daily maintenance according to the maintenance response grade.
Further, in the above technical solution, the retest time of the GC1 and GC2 grade pipelines does not exceed 6 years, the retest time of the GC3 grade pipelines does not exceed 9 years, and the retest time does not exceed half of the remaining life of the pipelines.
According to a second aspect of the present invention, there is provided a system for testing and evaluating the integrity of underground industrial pipelines, comprising: the magnetic stress detection unit is used for acquiring magnetic stress detection data of the underground industrial pipeline; the low-frequency guided wave detection unit is used for detecting low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the industrial pipeline; the data processing unit is used for determining excavation verification points according to the magnetic stress detection data and the low-frequency guided wave detection data; the contact detection unit is used for acquiring contact detection data of the excavation verification point; the evaluation unit is used for carrying out corrosion evaluation on the excavation verification points according to the contact detection data; and a maintenance decision generation unit for generating a maintenance response decision.
According to a third aspect of the invention, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; the storage stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the underground industrial pipeline integrity detection and evaluation method according to any one of the above technical solutions.
According to a fourth aspect of the present invention, there is provided a non-transitory computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method for detecting and evaluating the integrity of an underground industrial pipe according to any one of the above technical solutions.
Compared with the prior art, the invention has one or more of the following beneficial effects:
1. by combining the trenchless detection technology with the trenchless detection technology, the integrity of underground industrial pipeline detection is ensured, and the accuracy of a detection result is ensured, so that full-coverage trenchless screening identification and partial trenching quantitative evaluation are realized, the defect condition of the underground industrial pipeline in a factory is comprehensively mastered, a reliable data base is provided for maintenance decision, and the safety and the economy of pipeline operation management are practically improved.
2. The low-frequency guided wave detection position is determined according to the magnetic stress detection data and the pipeline data, and the excavation verification point is determined according to the magnetic stress detection data and the low-frequency guided wave detection data, so that the excavation operation is reduced, the detection efficiency of the underground industrial pipeline is improved, and the influence of the detection process on actual production is reduced. The magnetic stress detection only needs to move above the pipeline, defects are judged by collecting and analyzing stress abnormity, the detection efficiency is high, but the magnetic stress detection technology is easily interfered by laying conditions of parallel pipelines, sleeves, hardened pavements and the like, and the reliability of a detection result is reduced; the low-frequency guided wave detection technology utilizes the principle that mechanical waves are transmitted on a pipeline, detection is not influenced by external factors, and the detection efficiency of low-frequency guided waves is low. Therefore, when the non-excavation detection of underground pipelines of the refining enterprises is carried out, the magnetic stress detection is preferentially adopted to obtain the defect data of the pipelines, and then the low-frequency guided wave detection is adopted as a supplement technology by combining with the pipeline data to obtain the defect data of special laying positions of parallel pipelines, sleeves, hardened pavements and the like, so that the misjudgment defect of the magnetic stress detection is eliminated, and the number of excavation verification points is reduced.
3. Based on the contact detection data of the excavation verification points obtained by the invention, maintenance response grades and corresponding maintenance strategies are divided, and potential safety hazards of underground industrial pipeline operation are reduced.
4. According to the method, a maintenance response decision method comprising maintenance response grade, re-detection time, maintenance technology and the like is constructed on the basis of detection and evaluation results, and a complete technology of comprehensive detection evaluation and maintenance decision of the integrity of the underground industrial pipeline is formed; the technical problems of how to comprehensively master the defect distribution condition of the industrial pipeline, when the defects are repaired, what technical means is adopted for the repair, when the pipeline which does not need to be repaired is detected and the like are solved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood and to make the technical means implementable in accordance with the contents of the description, and to make the above and other objects, technical features, and advantages of the present invention more comprehensible, one or more preferred embodiments are described below in detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a flow chart of a method for testing and evaluating the integrity of underground industrial pipes according to an embodiment of the present invention.
FIG. 2 is a schematic diagram of a subterranean industrial pipe integrity detection and evaluation system according to an embodiment of the present invention.
Fig. 3 is a schematic hardware configuration diagram of an electronic device for executing the underground industrial pipeline integrity detection and evaluation method according to an embodiment of the invention.
Detailed Description
Specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Spatially relative terms, such as "under", "below", "lower", "upper", "over", "upper", and the like, may be used herein for convenience in describing the relationship of one element or feature to another element or feature in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the object in use or operation in addition to the orientation depicted in the figures. For example, if the items in the figures are turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the elements or features. Thus, the exemplary term "below" can encompass both an orientation of below and above. The articles may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative terms used herein should be interpreted accordingly.
In this document, the terms "first", "second", etc. are used to distinguish two different elements or portions, and are not used to define a particular position or relative relationship. In other words, the terms "first," "second," and the like may also be interchanged with one another in some embodiments.
The method, system, electronic device and storage medium for detecting and evaluating the integrity of underground industrial pipelines according to the present invention are described in more detail by way of specific embodiments, which should be understood as illustrative only and not limiting.
Example 1
Referring to fig. 1, the flow of the method for detecting and evaluating the integrity of the underground industrial pipeline according to the embodiment is as follows:
s110, magnetic stress detection data of the underground industrial pipeline are obtained. And (4) comprehensively detecting the underground industrial pipeline by adopting a magnetic stress detection technology to obtain magnetic stress detection data.
S120, low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the underground industrial pipeline are obtained. The magnetic stress detection data of the underground industrial pipeline has a stress abnormal position, and the stress abnormality can be defect or interference of laying conditions of parallel pipelines, sleeves, hardened pavements and the like. The pipeline data comprises pipeline construction data and a pipeline maintenance machine account, wherein the designated positions refer to a repairing section, a casing section, a cross pipeline section, a parallel pipeline section, a flange position, an earth outlet and inlet pipeline section and a hardened pavement section. And taking the intersection position of the abnormal position and the specified position in the pipeline data, and carrying out low-frequency guided wave detection on the intersection position to determine whether the defect exists.
S130, determining excavation verification points according to the magnetic stress detection data and the low-frequency guided wave detection data. The positions with the pipeline defect grades of the second grade and the third grade are determined as excavation verification points, and the pipeline defect grades are divided as follows:
s131, determining excavation verification points according to the magnetic stress detection data comprises the following steps: calculating the defect coefficient F of the specified position of the pipeline data at the complementary position in the abnormal position of the magnetic stress detection data ce ＝e -CQ Wherein C is a correction coefficient, and Q is a defect degree; and according to the defect coefficient F ce The pipe defects are classified into three levels, wherein:
when 0 is present<F ce When the defect grade is less than or equal to 0.2, the pipeline defect grade is first grade, and excavation verification is not needed;
when 0.2<F ce When the defect level of the pipeline is less than or equal to 0.6, the pipeline defect level is of the second level, and excavation verification needs to be planned; and
when 0.6<F ce When the defect grade is less than or equal to 1.0, the pipeline defect grade is three-grade, and the excavation verification is required to be carried out immediately.
S132, determining excavation verification points according to the low-frequency guided wave detection data comprises the following steps: dividing the low-frequency guided wave detection data into three levels according to a distance-amplitude curve family, wherein the distance-amplitude curve family consists of an evaluation line and a discriminant line, and the following steps of:
if the low-frequency guided wave detection data are below the evaluation line, the pipeline defect grade is first grade, and excavation verification is not needed;
if the low-frequency guided wave detection data are on the evaluation line or between the evaluation line and the waste judgment line, the pipeline defect grade is of the second grade, and excavation verification needs to be planned; and
and if the low-frequency guided wave detection data are at or above the waste judgment line, the pipeline defect level is at three levels, and excavation verification is required immediately.
S140, contact detection data of the excavation verification points are obtained, and corrosion evaluation is carried out on the excavation verification points. The contact detection can adopt a nondestructive detection technology to acquire detection data such as defect length, width, depth and the like. And carrying out corrosion evaluation on the excavation verification points according to the contact detection data, and determining the residual strength and the residual life.
S141 residual intensity is measured by an estimated maintenance factor ERF, ERF = MAOP/P s Wherein MAOP is the maximum allowable operating pressure of the pipeline; p s In order to ensure the safe working pressure at the defect,
wherein SMYS is the minimum yield strength of the pipeline; f is a design coefficient; t is the wall thickness of the pipeline; d is the diameter of the pipeline; d is the defect depth; m is the expansion factor of the plant cell,
when L is 2 When the ratio of the Dt to the total weight of the alloy is less than or equal to 50,
when L is 2 (Dt) >. At the time of 50 f, the temperature of the alloy is higher,
wherein L is the axial projection length of the corrosion defect.
S142 remaining Life
Wherein A is a correction coefficient; r is the corrosion rate; the SM is a safety margin,
wherein, P y Is the yield pressure.
S150, generating a maintenance response decision of the underground industrial pipeline.
S151 the repair response decision includes a repair response level, which includes: immediate repair, the grade comprising a pipe defect with an estimated repair factor ERF > 1; pipeline defects with residual life RL of no more than 1 year; scratches, cracks or electric arc burns; bending and sinking; a recess containing corrosion and having a corrosion depth exceeding 40% of the pipe wall; a depression associated with the weld and having a depth exceeding 2% of the pipe diameter; and a depression having a depth exceeding 6% of the tube diameter; planning maintenance, wherein the grade comprises the pipeline defects of which the estimated maintenance ratio is more than 0.9 and less than or equal to 1; pipeline defects with residual life RL of 1-2 years; in the pipeline with the pipe diameter of more than or equal to 300mm, a recess which is irrelevant to the welding seam and has the depth of 2-6% of the pipe diameter; in the pipeline with the pipe diameter less than 300mm, the depth of the depression is more than 6.35mm and is irrelevant to the welding seam; containing a pit which is corroded and the corrosion depth of which is 10 to 40 percent of the pipe wall; selective weld corrosion or corrosion along a weld; dents and grooves exceeding 12.5% of the pipe wall thickness; and pipeline defects located at intersections with other pipelines and having a depth exceeding 30% of the pipeline wall thickness; routine maintenance, the grade includes pipe defects that are not immediate and scheduled for repair.
S152, according to the industrial pipeline grade and the residual service life of the pipeline, determining the re-detection time for the pipeline defect of daily maintenance according to the maintenance response grade. The retest time of GC1 and GC2 pipelines does not exceed 6 years, the retest time of GC3 pipelines does not exceed 9 years, and the retest time does not exceed half of the residual life of the pipelines.
The method of the embodiment is adopted to carry out integrity detection evaluation on one crude oil pipeline, one circulating water pipeline and two oil-containing sewage pipelines. And acquiring magnetic detection data of the pipeline, and finding 61 abnormal positions in total. The intersection positions of 61 abnormal positions and the pipeline data specified positions are taken, and the total number is 28. Acquiring 28 low-frequency guided wave detection data at the intersection positions, wherein the detection data at 24 positions are below an evaluation line, and excavation verification is not needed; the detection data of the 4 positions are positioned between the evaluation line and the waste judgment line, and the pipeline defect grade is two levels. The specified positions of the pipeline data are 33 complementary positions in 61 abnormal positions of the magnetic stress detection data, wherein the defect coefficients of the 32 positions are less than or equal to 0.2, and excavation verification is not needed; the defect coefficient of 1 position is 0.37, and the pipeline defect grade is two levels. Determining 5 positions with the pipeline defect grade of two levels as excavation verification points, and performing contact detection, wherein the detection result is as follows:
excavating a verification point 1: the crude oil pipeline is tested for thickness by adopting excavation verification, and obvious corrosion defects are found on the surface of the pipeline.
Excavating verification points 2: and (4) adopting excavation to verify thickness measurement of the oily sewage pipeline, and obtaining a welding line signal without obvious thinning.
Excavating verification points 3: the oil-containing sewage pipeline is verified by excavation, obvious thinning is not found, ferromagnetic interference is found in the excavation process, and the interference signal is preliminarily judged.
Excavating verification points 4: the maximum wall thickness of the straight pipe section of the oil-containing sewage pipeline is 7.5mm, the minimum wall thickness is 6.4mm, and a thinning area exists in the direction from four o 'clock to seven o' clock.
Excavating verification points 5: the maximum wall thickness of the straight pipe section of the circulating water pipeline is 6.3mm, the minimum wall thickness of the straight pipe section is 5.8mm, and a strip-shaped thinning area exists.
Through excavation verification, the circulating water pipeline has corrosion defects, but the minimum wall thickness of the circulating water pipeline is not smaller than the designed wall thickness, so that the integrity evaluation is only carried out on two pipelines with corrosion defects, namely the crude oil pipeline and the oil-containing sewage pipeline. The detection parameters of the crude oil pipeline and the oily sewage pipeline are shown in table 1, wherein the crude oil pipeline is a GC 2-grade pipeline, and the oily sewage pipeline is a GC 3-grade pipeline. The excavation verification point 2 is a welding seam signal, the excavation verification point 3 is an interference signal, therefore, only the excavation verification points 1 and 4 need to be subjected to corrosion evaluation, and the results are shown in table 2.
TABLE 1 pipeline test parameters
TABLE 2 evaluation results of corrosion at excavation-verified points
| Excavation verification point | Estimating a maintenance factor ERF | Residual life RL (year) |
| 1 | 0.86 | 17.7 |
| 4 | 0.77 | 23.8 |
According to the detection and evaluation results, the maintenance response levels of the excavation verification point positions 1-5 are all daily maintenance, namely repair is not needed in a short time. And determining the retest period of the crude oil pipeline to be 6 years and the retest period of the oily sewage pipeline to be 9 years according to the grade of the industrial pipeline and the residual service life of the pipeline.
Example 2
Referring to fig. 2, the system for detecting and evaluating the integrity of the underground industrial pipeline of the present embodiment includes: the magnetic stress detection unit 11 is used for acquiring magnetic stress detection data of the underground industrial pipeline; the low-frequency guided wave detection unit 12 is used for detecting low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the industrial pipeline; the data processing unit 20 is used for determining excavation verification points according to the magnetic stress detection data and the low-frequency guided wave detection data; the contact detection unit 13 is used for acquiring contact detection data of the excavation verification point; the evaluation unit 30 is used for carrying out corrosion evaluation on the excavation verification points according to the contact detection data; and a maintenance decision generation unit 40 for generating a maintenance response decision. The pipeline material may be stored in the data processing unit 20, the data unit 20 being used at the same time for determining the intersection position. For a specific method for detecting and evaluating the integrity of the underground industrial pipeline, reference may be made to example 1, which is not described herein again.
Example 3
The present embodiments provide a non-transitory (non-volatile) computer storage medium having stored thereon computer-executable instructions that can perform the methods of any of the method embodiments described above, and achieve the same technical effects.
Example 4
The present embodiments provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method of the above aspects and achieve the same technical effects.
Example 5
Fig. 3 is a schematic diagram of a hardware structure of an electronic device for executing the method for detecting and evaluating the integrity of the underground industrial pipeline according to the embodiment. The device includes one or more processors 610 and memory 620. Take a processor 610 as an example. The apparatus may further include: an input device 630 and an output device 640.
The processor 610, memory 620, input device 630, and output device 640 may be connected by a bus or other means, such as by bus in fig. 3.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications of the electronic device and data processing, i.e., a processing method implementing the above-described method embodiments, by executing non-transitory software programs, instructions, and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may receive input numeric or character information and generate a signal input. The output device 640 may include a display device such as a display screen.
The one or more modules are stored in the memory 620 and, when executed by the one or more processors 610, perform:
acquiring magnetic stress detection data of the underground industrial pipeline;
acquiring low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the underground industrial pipeline;
determining excavation verification points according to the magnetic stress detection data and the low-frequency guided wave detection data;
acquiring contact detection data of excavation verification points, and performing corrosion evaluation on the excavation verification points; and
and generating a maintenance response decision of the underground industrial pipeline.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to methods provided in other embodiments of the present invention.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a general hardware platform, and may also be implemented by hardware. Based on such understanding, the technical solutions in essence or part contributing to the related art can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the method according to various embodiments or some parts of embodiments.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. Any simple modifications, equivalent changes and modifications made to the above exemplary embodiments shall fall within the scope of the present invention.
Claims (19)
1. A method for detecting and evaluating the integrity of underground industrial pipelines is characterized by comprising the following steps:
acquiring magnetic stress detection data of the underground industrial pipeline;
acquiring low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the underground industrial pipeline;
determining excavation verification points according to the magnetic stress detection data and the low-frequency guided wave detection data;
acquiring contact detection data of the excavation verification points, and performing corrosion evaluation on the excavation verification points; and
and generating a maintenance response decision of the underground industrial pipeline.
2. The underground industrial pipe integrity detection and evaluation method of claim 1, wherein the pipe data includes pipe construction data and pipe repair ledgers.
3. The underground industrial pipeline integrity detection and evaluation method of claim 1, wherein the designated locations comprise repair sections, casing sections, cross-over pipeline sections, parallel pipeline sections, flanges, soil-in and out pipe sections, and hardened pavement sections.
4. The underground industrial pipeline integrity detection and evaluation method of claim 1, wherein the magnetic stress detection data anomaly location is a stress anomaly location.
5. The underground industrial pipe integrity detection and evaluation method of claim 1, wherein the magnetic stress detection data comprises defect levels
Wherein, I and J are three coordinate directions of X, Y and Z of the magnetic signal; Δ H IJ Is the difference of the component in the direction of the magnetic vector J between the sensors arranged in the direction I; Δ L I Distance between sensors arranged in I direction。
6. The underground industrial pipeline integrity detection and evaluation method of claim 5, wherein determining excavation verification points from the magnetic stress detection data comprises:
calculating the defect coefficient F of the specified position of the pipeline data at the complementary position in the abnormal position of the magnetic stress detection data ce ＝e -CQ Wherein C is a correction coefficient; and
according to the defect coefficient F ce The pipe defects are classified into three levels, wherein:
when 0 is present<F ce When the defect level is less than or equal to 0.2, the pipeline defect level is first grade, and excavation verification is not needed;
when 0.2<F ce When the defect grade of the pipeline is less than or equal to 0.6, the pipeline needs to be planned to carry out excavation verification; and
when 0.6<F ce When the defect level is less than or equal to 1.0, the pipeline defect level is three, and excavation verification is required immediately.
7. The underground industrial pipeline integrity detection and evaluation method of claim 6, wherein determining excavation verification points from the low frequency guided wave detection data comprises: dividing the low-frequency guided wave detection data into three levels according to a distance-amplitude curve family, wherein the distance-amplitude curve family consists of an evaluation line and a discriminant line, and the following steps of:
if the low-frequency guided wave detection data are below an evaluation line, the pipeline defect grade is first grade, and excavation verification is not needed;
if the low-frequency guided wave detection data are on the evaluation line or between the evaluation line and the waste judgment line, the pipeline defect grade is of the second grade, and excavation verification needs to be planned; and
and if the low-frequency guided wave detection data are at or above the waste judgment line, the pipeline defect level is at three levels, and excavation verification is required immediately.
8. The method of claim 7, wherein the locations where the pipeline defect levels are secondary and tertiary are determined as excavation verification points.
9. The underground industrial pipeline integrity testing and evaluating method of claim 1, wherein the contact-type testing data is obtained by non-destructive testing techniques.
10. The underground industrial pipe integrity testing and evaluation method of claim 1, wherein the contact test data includes length, width and depth of the defect.
11. The underground industrial pipeline integrity detection and evaluation method of claim 1, wherein the performing corrosion evaluation on the excavation verification point comprises determining a residual strength and a residual life.
12. A subterranean industrial pipe integrity detection evaluation method as claimed in claim 11, wherein the residual strength is measured by an estimated maintenance factor, ERF,
ERF＝MAOP/P s ，
wherein MAOP is the maximum allowable operating pressure of the pipeline; p s In order to ensure the safe working pressure at the defect,
wherein SMYS is the minimum yield strength of the pipeline; f is a design coefficient; t is the wall thickness of the pipeline; d is the diameter of the pipeline; d is the defect depth; m is the expansion factor of the mixture,
when L is 2 When the ratio of/Dt is less than or equal to 50,
when L is 2 When the ratio of the/Dt to the total mass is more than 50,
wherein L is the axial projection length of the corrosion defect.
13. The underground industrial pipe integrity detection and evaluation method of claim 12, wherein the remaining life:
wherein A is a correction coefficient; r is the corrosion rate; the SM is the safety margin,
wherein, P y Is the yield pressure.
14. The underground industrial pipe integrity detection and evaluation method of claim 13, wherein the repair response decision comprises a repair response grade comprising:
immediate repair, the grade comprising a pipe defect with an estimated repair factor ERF > 1; pipe defects with residual life RL of no more than 1 year; scratches, cracks or arc burns; bending and recessing; a recess containing corrosion and having a corrosion depth exceeding 40% of the pipe wall; a depression associated with the weld and having a depth exceeding 2% of the pipe diameter; and a depression having a depth exceeding 6% of the tube diameter;
planning maintenance, wherein the grade comprises the pipeline defects of which the estimated maintenance ratio is more than 0.9 and less than or equal to 1; pipeline defects with residual life RL of 1-2 years; in the pipeline with the pipe diameter of more than or equal to 300mm, a recess which is irrelevant to the welding seam and has the depth of 2-6% of the pipe diameter; in the pipeline with the pipe diameter less than 300mm, the depth of the recess is more than 6.35mm and is irrelevant to the welding line; containing pits which are corroded and the corrosion depth of which is 10 to 40 percent of the pipe wall; selective weld corrosion or corrosion along a weld; dents and grooves exceeding 12.5% of the pipe wall thickness; and pipeline defects located at intersections with other pipelines and having a depth exceeding 30% of the pipeline wall thickness;
routine maintenance, the grade includes pipe defects that are not immediate and scheduled for repair.
15. The underground industrial pipe integrity testing and evaluation method of claim 14, wherein the re-inspection time is determined for routine maintenance of pipe defects for repair response ratings based on industrial pipe ratings and remaining life of the pipe.
16. The underground industrial pipeline integrity testing and evaluation method of claim 15, wherein the retest time for GC1 and GC2 grade pipelines is no more than 6 years, the retest time for GC3 grade pipelines is no more than 9 years, and the retest time is no more than half of the remaining life of the pipeline.
17. An underground industrial pipeline integrity detection and evaluation system, comprising:
the magnetic stress detection unit is used for acquiring magnetic stress detection data of the underground industrial pipeline;
the low-frequency guided wave detection unit is used for detecting low-frequency guided wave detection data at the intersection position of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the industrial pipeline;
the data processing unit is used for determining excavation verification points according to the magnetic stress detection data and the low-frequency guided wave detection data;
the contact detection unit is used for acquiring contact detection data of the excavation verification point;
the evaluation unit is used for carrying out corrosion evaluation on the excavation verification points according to the contact detection data; and
a maintenance decision generation unit for generating a maintenance response decision.
18. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the subterranean industrial pipe integrity detection evaluation method of any one of claims 1 to 16.
19. A non-transitory computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method for subterranean industrial pipe integrity detection evaluation of any one of claims 1 to 16.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2264617C2 (en) * | 2001-05-23 | 2005-11-20 | Горошевский Валерий Павлович | Method for non-contact detection of position and type of defects of metallic structures and device for realization of said method |
| US20090312986A1 (en) * | 2008-06-13 | 2009-12-17 | Geospatial Holdings, Inc. | Method and System for Determining Specified Data Related to Underground Installations |
| CN109308556A (en) * | 2017-07-28 | 2019-02-05 | 中国石油化工股份有限公司 | A kind of pipeline evaluation method and device based on interior detection data |
| CN109521084A (en) * | 2018-11-22 | 2019-03-26 | 大唐东北电力试验研究院有限公司 | A kind of buried pipeline weak magnetic method of determination and evaluation |
-
2021
- 2021-06-25 CN CN202110708861.5A patent/CN115524392A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2264617C2 (en) * | 2001-05-23 | 2005-11-20 | Горошевский Валерий Павлович | Method for non-contact detection of position and type of defects of metallic structures and device for realization of said method |
| US20090312986A1 (en) * | 2008-06-13 | 2009-12-17 | Geospatial Holdings, Inc. | Method and System for Determining Specified Data Related to Underground Installations |
| CN109308556A (en) * | 2017-07-28 | 2019-02-05 | 中国石油化工股份有限公司 | A kind of pipeline evaluation method and device based on interior detection data |
| CN109521084A (en) * | 2018-11-22 | 2019-03-26 | 大唐东北电力试验研究院有限公司 | A kind of buried pipeline weak magnetic method of determination and evaluation |
Non-Patent Citations (1)
| Title |
|---|
| 王浩等: "低频导波检测在埋地管道穿越段处管体缺陷检测中的应用", 石油化工应用 第十五届宁夏青年科学家论坛论文集, 30 July 2019 (2019-07-30), pages 287 - 289 * |
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