Underground industrial pipeline integrity detection and evaluation method, system, electronic equipment and storage medium

Abstract

The present invention discloses a method for detecting and evaluating the integrity of underground industrial pipelines, including the steps of: obtaining magnetic stress detection data of underground industrial pipelines; obtaining low-frequency waveguide detection data at the intersection of the abnormal position of the magnetic stress detection data and the specified position of the pipeline data in the underground industrial pipeline; determining the excavation verification point according to the magnetic stress detection data and the low-frequency waveguide detection data; obtaining the contact detection data of the excavation verification point, and performing corrosion evaluation on the excavation verification point; and generating a maintenance response decision for the underground industrial pipeline. The present invention also discloses an underground industrial pipeline integrity detection and evaluation system, electronic equipment and storage medium. The present invention combines trenchless detection technology with excavation detection technology to ensure the integrity of underground industrial pipeline detection and the accuracy of the detection results, thereby achieving full coverage trenchless screening and identification and local excavation quantitative evaluation, and comprehensively grasping the defects of underground industrial pipelines in the factory area.

Description

Technical Field

[0001] The present invention relates to the technical field of detection and evaluation of industrial pipelines, and in particular to an underground industrial pipeline integrity detection and evaluation method, system, electronic equipment and storage medium. Background Art

[0002] There are many types of underground industrial pipelines in refineries, stations and warehouses, such as oil pipelines between oil depot tank areas, crude oil pipelines from tank areas to refineries, circulating water pipelines, water supply pipelines, oily sewage pipelines of refineries, and purge pipelines of underground waste oil tanks. Most underground pipelines are laid between various devices, and it is impossible to effectively carry out internal and external inspection and evaluation work, which brings hidden dangers to the operation of underground industrial pipelines. Although in recent years, through the transformation of underground pipeline networks, some underground pipelines have been converted into overhead pipelines on the ground, which is convenient for inspection and maintenance, and reduces the risk of pipeline operation. However, some pipelines are still laid underground, and due to the long time span, the pipeline information can no longer be found, and the route of the pipeline cannot be clearly identified, which poses a major hidden danger to the production and operation of refineries.

[0003] Conducting integrity testing and evaluation on underground industrial pipelines can improve the level of pipeline integrity management, reduce pipeline operation risks, and ensure safe production. However, due to the limitations of the testing environment, there is no effective testing and evaluation technical solution for underground industrial pipelines. The basis of integrity testing and evaluation is to obtain accurate and comprehensive defect detection data. If all pipelines are excavated, the cost of testing is extremely high and affects the operation of the enterprise. Compared with long-distance pipelines that can be tested by internal testing technology, it is difficult to obtain more comprehensive and quantitative test data for underground industrial pipelines.

[0004] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0005] One of the purposes of the present invention is to provide an underground industrial pipeline integrity detection and evaluation method, system, electronic equipment and storage medium, so as to obtain accurate and comprehensive defect detection data of underground industrial pipelines.

[0006] Another object of the present invention is to provide an underground industrial pipeline integrity detection and evaluation method, system, electronic equipment and storage medium, so as to improve the detection and evaluation efficiency of underground industrial pipelines and reduce the impact of the detection process on actual production.

[0007] Another object of the present invention is to provide an underground industrial pipeline integrity detection and evaluation method, system, electronic equipment and storage medium, so as to improve the maintenance plan of underground industrial pipelines, reduce safety hazards and improve the safety of long-term continuous production.

[0008] To achieve the above-mentioned purpose, according to a first aspect of the present invention, there is provided a method for detecting and evaluating the integrity of an underground industrial pipeline, comprising the steps of: acquiring magnetic stress detection data of an underground industrial pipeline; acquiring low-frequency waveguide detection data at the intersection of an abnormal position of the magnetic stress detection data and a specified position of the pipeline data in the underground industrial pipeline; determining an excavation verification point based on the magnetic stress detection data and the low-frequency waveguide detection data; acquiring contact detection data of the excavation verification point, and performing corrosion evaluation on the excavation verification point; and generating a maintenance response decision for the underground industrial pipeline.

[0009] Furthermore, in the above technical solution, the pipeline data includes pipeline construction data and pipeline maintenance records.

[0010] Furthermore, in the above technical solution, the designated positions include repair sections, casing sections, cross pipe sections, parallel pipe sections, flanges, in-and-out pipe sections, and hardened pavement sections.

[0011] Furthermore, in the above technical solution, the abnormal position of the magnetic stress detection data is the abnormal stress position.

[0012] Furthermore, in the above technical solution, the magnetic stress detection data includes the defect degree

[0013]

[0014] Among them, I, J are the X, Y, and Z coordinate directions of the magnetic signal; ΔH IJ The difference in the magnetic vector J direction component between sensors arranged in the I direction; ΔL I is the distance between sensors arranged in direction I.

[0015] 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 complement position of the abnormal position of the magnetic stress detection data ce =e -CQ , where C is the correction factor; and according to the defect factor F ce Pipeline defects are divided into three levels:

[0016] When 0 <F ce When ≤0.2, the pipeline defect level is level 1 and no excavation verification is required;

[0017] When 0.2 <F ceWhen ≤0.6, the pipeline defect level is level 2 and excavation verification needs to be planned; and

[0018] When 0.6 <F ce When ≤1.0, the pipeline defect level is level three and excavation verification is required immediately.

[0019] Further, in the above technical solution, determining the excavation verification point according to the low-frequency guided wave detection data includes: dividing the low-frequency guided wave detection data into three levels according to the distance-amplitude curve family, the distance-amplitude curve family consists of an assessment line and a scrap line, wherein:

[0020] If the low-frequency guided wave detection data is below the assessment line, the pipeline defect level is level one and no excavation verification is required;

[0021] If the low-frequency guided wave detection data is on the assessment line or between the assessment line and the scrap line, the pipeline defect level is level 2 and excavation verification needs to be planned; and

[0022] If the low-frequency waveguide detection data is at or above the scrap line, the pipeline defect level is level three and excavation verification is required immediately.

[0023] Furthermore, in the above technical solution, locations where pipeline defect levels are level 2 and 3 are determined as excavation verification points.

[0024] Furthermore, in the above technical solution, the contact detection data is obtained by using non-destructive testing technology.

[0025] Furthermore, in the above technical solution, the contact detection data includes the length, width and depth of the defect.

[0026] Furthermore, in the above technical solution, the corrosion evaluation of the excavation verification point includes determining the remaining strength and the remaining life.

[0027] Furthermore, in the above technical solution, the residual strength is measured by the estimated repair factor ERF.

[0028] ERF=MAOP / P s ,

[0029] Wherein, MAOP is the maximum allowable operating pressure of the pipeline; P s To provide safe working pressure for defects,

[0030]

[0031] Among them, SMYS is the minimum yield strength of the pipeline; F is the design factor; t is the pipeline wall thickness; D is the pipeline diameter; d is the defect depth; M is the expansion factor,

[0032] When L 2 / Dt≤50,

[0033] When L 2 / Dt>50,

[0034] Where L is the axial projection length of the corrosion defect.

[0035] Furthermore, in the above technical solution, the remaining life

[0036]

[0037] Where A is the correction factor; R is the corrosion rate; SM is the safety margin,

[0038]

[0039] Among them, P y The yield pressure.

[0040] Furthermore, in the above technical solution, the maintenance response decision includes a maintenance response level, and the maintenance response level includes: immediate maintenance, which includes pipeline defects with an estimated maintenance factor ERF>1; pipeline defects with a remaining life RL of no more than 1 year; scratches, cracks or arc burns; bends and depressions; depressions containing corrosion and the corrosion depth exceeds 40% of the pipe wall; depressions related to welds and the depth exceeds 2% of the pipe diameter; and depressions with a depth exceeding 6% of the pipe diameter; planned maintenance, which includes pipeline defects with an estimated maintenance ratio of 0.9<ERF≤1; pipeline defects with a remaining life RL of 1 to 2 years; Pipe defects; in pipes with a diameter greater than or equal to 300mm, depressions that are not related to welds and have a depth of 2% to 6% of the pipe diameter; in pipes with a diameter less than 300mm, depressions that are not related to welds and have a depth of more than 6.35mm; depressions containing corrosion and the corrosion depth is 10% to 40% of the pipe wall; selective weld corrosion or corrosion along the weld; dents and grooves that exceed 12.5% ​​of the pipe wall thickness; and pipeline defects located at the intersection with other pipes and with a depth exceeding 30% of the pipe wall thickness; routine maintenance, this level includes pipeline defects that are not subject to immediate repair and planned maintenance.

[0041] Furthermore, in the above technical solution, the re-inspection time is determined for pipeline defects with a maintenance response level of daily maintenance according to the industrial pipeline grade and the remaining life of the pipeline.

[0042] Furthermore, in the above technical solution, the re-inspection time for GC1 and GC2 grade pipelines shall not exceed 6 years, the re-inspection time for GC3 grade pipelines shall not exceed 9 years, and the re-inspection time shall not exceed half of the remaining life of the pipeline.

[0043] According to a second aspect of the present invention, the present invention provides an underground industrial pipeline integrity detection and evaluation system, which includes: a magnetic stress detection unit, which is used to obtain magnetic stress detection data of underground industrial pipelines; a low-frequency waveguide detection unit, which is used for low-frequency waveguide detection data at the intersection of the abnormal position of the magnetic stress detection data in the industrial pipeline and the specified position of the pipeline data; a data processing unit, which is used to determine the excavation verification point according to the magnetic stress detection data and the low-frequency waveguide detection data; a contact detection unit, which is used to obtain contact detection data of the excavation verification point; an evaluation unit, which is used to perform corrosion evaluation on the excavation verification point according to the contact detection data; and a maintenance decision generation unit, which is used to generate a maintenance response decision.

[0044] According to a third aspect of the present invention, the present invention provides an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes an underground industrial pipeline integrity detection and evaluation method as described in any one of the above technical solutions.

[0045] According to a fourth aspect of the present invention, the present invention provides a non-transitory computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute an underground industrial pipeline integrity detection and evaluation method such as any one of the above-mentioned technical solutions.

[0046] Compared with the prior art, the present invention has one or more of the following beneficial effects:

[0047] 1. By combining trenchless detection technology with trenchless detection technology, the integrity of underground industrial pipeline detection is guaranteed, and the accuracy of the detection results is ensured, thereby achieving full coverage of trenchless screening and identification and local excavation quantitative evaluation, and comprehensively grasping the defects of underground industrial pipelines in the factory area, providing a reliable data basis for maintenance decisions, and effectively improving the safety and economy of pipeline operation management.

[0048] 2. Determine the low-frequency waveguide detection position according to the magnetic stress detection data and pipeline data, and then determine the excavation verification point according to the magnetic stress detection data and the low-frequency waveguide detection data, reduce excavation operations, improve the detection efficiency of underground industrial pipelines, and reduce the impact of the detection process on actual production. Magnetic stress detection only needs to move above the pipeline, and identify defects by collecting and analyzing stress anomalies. The detection efficiency is high, but the magnetic stress detection technology is easily disturbed by the laying conditions of parallel pipelines, casings, hardened pavements, etc., which reduces the reliability of the detection results; while the low-frequency waveguide detection technology uses the principle of mechanical wave propagation on the pipeline, and the detection is not affected by external factors, but the detection efficiency of low-frequency waveguide is low. Therefore, when the present invention carries out non-excavation detection of underground pipelines in refining and chemical enterprises, magnetic stress detection is preferentially used to obtain pipeline defect data, and then combined with pipeline data, low-frequency waveguide detection is used as a supplementary technology to obtain defect data at special laying locations such as parallel pipelines, casings, and hardened pavements, thereby eliminating the misjudgment of defects in magnetic stress detection and reducing the number of excavation verification points.

[0049] 3. Based on the contact detection data of the excavation verification points obtained by the present invention, maintenance response levels and corresponding maintenance strategies are divided to reduce the safety hazards of underground industrial pipeline operation.

[0050] 4. Based on the detection and evaluation results, the present invention constructs a maintenance response decision method including maintenance response level, re-detection time, maintenance technology, etc., forming a set of comprehensive detection and evaluation and maintenance decision-making technologies for underground industrial pipeline integrity; it solves a series of technical problems such as how to fully grasp the distribution of industrial pipeline defects, when to repair defects, what technical means to use for maintenance, and when to re-inspect pipelines that do not need maintenance.

[0051] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with the accompanying drawings as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of an underground industrial pipeline integrity detection and evaluation method according to one embodiment of the present invention.

[0053] Figure 2 It is a schematic diagram of an underground industrial pipeline integrity detection and evaluation system according to one embodiment of the present invention.

[0054] Figure 3 It is a schematic diagram of the hardware structure of an electronic device for executing an underground industrial pipeline integrity detection and evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0056] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0057] In this document, for the convenience of description, spatial relative terms such as "below", "below", "down", "above", "above", "upper", etc. may be used to describe the relationship between one element or feature and another element or feature in the accompanying drawings. It should be understood that the spatial relative terms are intended to include different orientations of the object in use or operation in addition to the orientation depicted in the figure. For example, if the object in the figure is turned over, the element described as being "below" or "below" other elements or features will be oriented "above" the element or feature. Therefore, the exemplary term "below" can include both the below and above directions. Objects may also have other orientations (rotated 90 degrees or other orientations) and the spatial relative terms used in this document should be interpreted accordingly.

[0058] In this document, the terms "first", "second", etc. are used to distinguish two different elements or parts, and are not used to limit a specific position or relative relationship. In other words, in some embodiments, the terms "first", "second", etc. can also be interchangeable.

[0059] The underground industrial pipeline integrity detection and evaluation method, system, electronic device and storage medium of the present invention are described in more detail below by way of specific embodiments. It should be understood that the embodiments are merely exemplary and the present invention is not limited thereto.

[0060] Example 1

[0061] Combination Figure 1 As shown, the process of the underground industrial pipeline integrity detection and evaluation method according to this embodiment is as follows:

[0062] S110 obtains magnetic stress detection data of underground industrial pipelines. Magnetic stress detection technology is used to conduct comprehensive detection of underground industrial pipelines to obtain magnetic stress detection data.

[0063] S120 obtains low-frequency guided wave detection data at the intersection of the abnormal position of magnetic stress detection data in underground industrial pipelines and the specified position of pipeline data. There are abnormal stress positions in the magnetic stress detection data of underground industrial pipelines. The stress anomaly may be caused by defects or interference from the laying conditions of parallel pipelines, casings, hardened pavement, etc. Pipeline data includes pipeline construction data and pipeline maintenance records, where the specified position refers to the repair section, casing section, cross-pipe section, parallel pipeline section, flange, in-and-out pipe section, and hardened pavement section. Take the intersection of the abnormal position and the specified position in the pipeline data, and perform low-frequency guided wave detection on the intersection position to determine whether there is a defect.

[0064] S130 determines the excavation verification point based on the magnetic stress detection data and the low-frequency guided wave detection data. The locations where the pipeline defect levels are level 2 and 3 are determined as excavation verification points. The pipeline defect levels are divided as follows:

[0065] S131 determines the excavation verification point according to the magnetic stress detection data, including: calculating the defect coefficient F of the specified position of the pipeline data at the complementary position of the abnormal position of the magnetic stress detection data ce =e -CQ , where C is the correction factor, Q is the degree of defect; and according to the defect coefficient F ce Pipeline defects are divided into three levels:

[0066] When 0 <F ce When ≤0.2, the pipeline defect level is level 1 and no excavation verification is required;

[0067] When 0.2 <F ce When ≤0.6, the pipeline defect level is level 2 and excavation verification needs to be planned; and

[0068] When 0.6 <F ce When ≤1.0, the pipeline defect level is level three and excavation verification is required immediately.

[0069] S132 determines the excavation verification point according to the low-frequency guided wave detection data, including: dividing the low-frequency guided wave detection data into three levels according to the distance-amplitude curve family, the distance-amplitude curve family consists of an evaluation line and a scrap line, wherein:

[0070] If the low-frequency guided wave detection data is below the assessment line, the pipeline defect level is level one and no excavation verification is required;

[0071] If the low-frequency guided wave detection data is on the assessment line or between the assessment line and the scrap line, the pipeline defect level is level 2 and excavation verification needs to be planned; and

[0072] If the low-frequency waveguide detection data is at or above the scrap line, the pipeline defect level is level three and excavation verification is required immediately.

[0073] S140 obtains contact detection data of the excavation verification point and performs corrosion evaluation on the excavation verification point. The contact detection can use non-destructive testing technology to obtain detection data such as defect length, width and depth. The corrosion evaluation of the excavation verification point is performed based on the contact detection data to determine the remaining strength and remaining life.

[0074] S141 residual strength is measured by the estimated maintenance factor ERF, ERF = MAOP / P s , where MAOP is the maximum allowable operating pressure of the pipeline; P s To provide safe working pressure for defects,

[0075]

[0076] Among them, SMYS is the minimum yield strength of the pipeline; F is the design factor; t is the pipeline wall thickness; D is the pipeline diameter; d is the defect depth; M is the expansion factor,

[0077] When L 2 / Dt≤50,

[0078] When L 2 / Dt>50,

[0079] Where L is the axial projection length of the corrosion defect.

[0080] S142 Remaining life

[0081] Where A is the correction factor; R is the corrosion rate; SM is the safety margin,

[0082]

[0083] Among them, P y The yield pressure.

[0084] S150 generates maintenance response decisions for underground industrial pipelines.

[0085] S151 maintenance response decision includes maintenance response level, which includes: immediate maintenance, which includes pipeline defects with estimated maintenance factor ERF>1; pipeline defects with a remaining life RL not exceeding 1 year; scratches, cracks or arc burns; bends and depressions; depressions containing corrosion and the corrosion depth exceeds 40% of the pipe wall; depressions related to welds and the depth exceeds 2% of the pipe diameter; and depressions with a depth exceeding 6% of the pipe diameter; planned maintenance, which includes pipeline defects with an estimated maintenance ratio of 0.9<ERF≤1; pipeline defects with a remaining life RL of 1 to 2 years; In pipes with a diameter greater than or equal to 300 mm, depressions that are not related to welds and are 2% to 6% of the pipe diameter; in pipes with a diameter less than 300 mm, depressions that are not related to welds and are more than 6.35 mm deep; depressions containing corrosion and the corrosion depth is 10% to 40% of the pipe wall; selective weld corrosion or corrosion along the weld; dents and grooves that exceed 12.5% ​​of the pipe wall thickness; and pipeline defects located at the intersection with other pipes and with a depth exceeding 30% of the pipe wall thickness; routine maintenance, this level includes pipeline defects that are not subject to immediate repair and planned maintenance.

[0086] S152 determines the re-inspection time for pipeline defects with a maintenance response level of routine maintenance based on the industrial pipeline grade and the remaining life of the pipeline. The re-inspection time for GC1 and GC2 pipelines shall not exceed 6 years, and the re-inspection time for GC3 pipelines shall not exceed 9 years, and the re-inspection time shall not exceed half of the remaining life of the pipeline.

[0087] The method of this embodiment was used to carry out integrity detection and evaluation on a crude oil pipeline, a circulating water pipeline, and two oily sewage pipelines. The magnetic detection data of the above pipelines were obtained, and a total of 61 abnormal positions were found. The intersection positions of the 61 abnormal positions and the positions specified by the pipeline data were taken, totaling 28. The low-frequency guided wave detection data at the 28 intersection positions were obtained, of which the detection data at 24 positions were below the assessment line and no excavation verification was required; the detection data at 4 positions were between the assessment line and the scrap line, and the pipeline defect level was level two. There were 33 complementary positions of the pipeline data specified positions in the 61 abnormal positions of the magnetic stress detection data, of which the defect coefficients of 32 positions were less than or equal to 0.2, and no excavation verification was required; the defect coefficient of 1 position was 0.37, and the pipeline defect level was level two. The 5 positions with pipeline defect level two were determined as excavation verification points, and contact detection was carried out. The detection results are as follows:

[0088] Excavation verification point 1: Crude oil pipeline, excavation verification thickness measurement was used, and obvious corrosion defects were found on the pipeline surface.

[0089] Excavation verification point 2: The oily sewage pipeline was verified by excavation and thickness measurement, and no obvious thinning was found, which is a weld signal.

[0090] Excavation verification point 3: The oily sewage pipeline was verified by excavation. No obvious thinning was found, but ferromagnetic interference was found during the excavation process, which was initially judged to be this type of interference signal.

[0091] Excavation verification point 4: Oily sewage pipeline, the maximum wall thickness of the straight pipe section is 7.5mm, the minimum wall thickness is 6.4mm, and there is a thinning area from the four o'clock direction to the seven o'clock direction.

[0092] Excavation verification point 5: circulating water pipeline, the maximum wall thickness of the straight pipe section is 6.3mm, the minimum wall thickness is 5.8mm, and there is a strip-shaped thinning area.

[0093] Through excavation verification, it was found that although the circulating water pipeline had corrosion defects, its minimum wall thickness was not less than the designed wall thickness. Therefore, only the crude oil pipeline and the oily sewage pipeline with corrosion defects were evaluated for integrity. The detection parameters of the crude oil pipeline and the oily sewage pipeline are shown in Table 1, where the crude oil pipeline is a GC2 grade pipeline and the oily sewage pipeline is a GC3 grade pipeline. Excavation verification point 2 is a weld signal, and excavation verification point 3 is an interference signal. Therefore, only excavation verification points 1 and 4 need to be evaluated for corrosion, and the results are shown in Table 2.

[0094] Table 1 Pipeline detection parameters

[0095]

[0096] Table 2 Corrosion evaluation results of excavation verification points

[0097] Excavation verification point Estimated maintenance factor ERF Remaining life RL (years) 1 0.86 17.7 4 0.77 23.8

[0098] From the above test and evaluation results, it can be seen that the maintenance response level of excavation verification point locations 1 to 5 is daily maintenance, that is, no repair is required in a short period of time. According to the industrial pipeline level and the remaining life of the pipeline, the re-test cycle of the crude oil pipeline is determined to be 6 years, and the re-test cycle of the oily sewage pipeline is determined to be 9 years.

[0099] Example 2

[0100] Combination Figure 2As shown, the underground industrial pipeline integrity detection and evaluation system of this embodiment includes: a magnetic stress detection unit 11, which is used to obtain magnetic stress detection data of underground industrial pipelines; a low-frequency waveguide detection unit 12, which is used for low-frequency waveguide detection data at the intersection position of the abnormal position of magnetic stress detection data in the industrial pipeline and the specified position of pipeline data; a data processing unit 20, which is used to determine the excavation verification point according to the magnetic stress detection data and the low-frequency waveguide detection data; a contact detection unit 13, which is used to obtain the contact detection data of the excavation verification point; an evaluation unit 30, which is used to perform corrosion evaluation on the excavation verification point according to the contact detection data; and a maintenance decision generation unit 40, which is used to generate a maintenance response decision. The pipeline data can be stored in the data processing unit 20, and the data unit 20 is also used to determine the intersection position. The specific underground industrial pipeline integrity detection and evaluation method can refer to Example 1, which will not be repeated here.

[0101] Example 3

[0102] This embodiment provides a non-transitory (non-volatile) computer storage medium, which stores computer executable instructions. The computer executable instructions can execute the method in any of the above method embodiments and achieve the same technical effect.

[0103] Example 4

[0104] This embodiment provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the methods described in the above aspects and achieves the same technical effects.

[0105] Example 5

[0106] Figure 3 6 is a hardware structure diagram of an electronic device for executing the underground industrial pipeline integrity detection and evaluation method of this embodiment. The device includes one or more processors 610 and a memory 620. Take one processor 610 as an example. The device may also include: an input device 630 and an output device 640.

[0107] The processor 610, the memory 620, the input device 630 and the output device 640 may be connected via a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0108] The memory 620 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device by running the non-transitory software programs, instructions, and modules stored in the memory 620, that is, the processing method of the above method embodiment is implemented.

[0109] The memory 620 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data, etc. In addition, the memory 620 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 620 may optionally include a memory remotely arranged relative to the processor 610, and these remote memories may be connected to the processing device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0110] The input device 630 can receive input digital or character information and generate signal input. The output device 640 can include a display device such as a display screen.

[0111] The one or more modules are stored in the memory 620, and when executed by the one or more processors 610, perform:

[0112] Obtain magnetic stress detection data of underground industrial pipelines;

[0113] Obtain low-frequency guided wave detection data at the intersection of the abnormal position of magnetic stress detection data in underground industrial pipelines and the specified position of pipeline data;

[0114] Determine the excavation verification points based on magnetic stress detection data and low-frequency guided wave detection data;

[0115] Obtain contact inspection data of excavation verification points and conduct corrosion evaluation on the excavation verification points; and

[0116] Generate maintenance response decisions for underground industrial pipelines.

[0117] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the methods provided by other embodiments of the present invention.

[0118] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0120] The foregoing description of specific exemplary embodiments of the present invention is for the purpose of illustration and demonstration. These descriptions are not intended to limit the present invention to the precise form disclosed, and it is clear that many changes and variations can be made based on the above teachings. The purpose of selecting and describing the exemplary embodiments is to explain the specific principles of the present invention and its practical application, so that those skilled in the art can realize and utilize various different exemplary embodiments of the present invention and various different selections and changes. Any simple modifications, equivalent changes and modifications made to the above exemplary embodiments should fall within the scope of protection of the present invention.

Claims

1. A method for detecting and evaluating the integrity of underground industrial pipelines, characterized in that: Includes steps: Obtain magnetic stress detection data of underground industrial pipelines; Obtain low-frequency guided wave detection data at the intersection of the abnormal position of magnetic stress detection data in underground industrial pipelines and the specified position of pipeline data; Determine the excavation verification points based on magnetic stress detection data and low-frequency guided wave detection data; Acquiring contact detection data of the excavation verification point and performing corrosion evaluation on the excavation verification point; as well as Generate maintenance response decisions for underground industrial pipelines; Conducting corrosion evaluation of the excavation verification points including determining the residual strength and the remaining life; The residual strength is measured by the estimated repair factor ERF, INHERITANCE=MAOP / P s , Wherein, MAOP is the maximum allowable operating pressure of the pipeline; P s To provide safe working pressure for defects, Among them, SMYS is the minimum yield strength of the pipeline; F is the design factor; t is the pipeline wall thickness; D is the pipeline diameter; d is the defect depth; M is the expansion factor, When L 2 / Dt≤50, When L 2 / Dt>50, Wherein, L is the axial projection length of the corrosion defect; Remaining life: Where A is the correction factor; R is the corrosion rate; SM is the safety margin, Among them, P y The yield pressure.

2. The underground industrial pipeline integrity detection and evaluation method according to claim 1 is characterized in that: The pipeline data includes pipeline construction data and pipeline maintenance records.

3. The underground industrial pipeline integrity detection and evaluation method according to claim 1 is characterized in that: The designated positions include repair sections, casing sections, cross pipe sections, parallel pipe sections, flanges, in-and-out pipe sections, and hardened pavement sections.

4. The underground industrial pipeline integrity detection and evaluation method according to claim 1 is characterized in that: The abnormal position of the magnetic stress detection data is a stress abnormal position.

5. The underground industrial pipeline integrity detection and evaluation method according to claim 1 is characterized in that: The magnetic stress detection data includes defect degree Among them, I, J are the X, Y, and Z coordinate directions of the magnetic signal; ΔH IJ The difference in the magnetic vector J direction component between sensors arranged in the I direction; ΔL I is the distance between sensors arranged in direction I.

6. The underground industrial pipeline integrity detection and evaluation method according to claim 5 is characterized in that: Determining the excavation verification points based on magnetic stress detection data includes: Calculate the defect coefficient F at the specified position of the pipeline data at the complementary position of the abnormal position of the magnetic stress detection data ce =e -CQ , where C is the correction factor; and According to the defect factor F ce Pipeline defects are divided into three levels: When 0 <F ce When ≤0.2, the pipeline defect level is level 1 and no excavation verification is required; When 0.2 <F ce When ≤0.6, the pipeline defect level is level 2 and excavation verification needs to be planned; and When 0.6 <F ce When ≤1.0, the pipeline defect level is level three and excavation verification is required immediately.

7. The underground industrial pipeline integrity detection and evaluation method according to claim 6 is characterized in that: Determining the excavation verification point according to the 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 an evaluation line and a scrap judgment line, wherein: If the low-frequency guided wave detection data is below the assessment line, the pipeline defect level is level one and no excavation verification is required; If the low-frequency guided wave detection data is above the assessment line or between the assessment line and the scrap line, the pipeline defect level is level 2 and excavation verification needs to be planned; and If the low-frequency waveguide detection data is at or above the scrap line, the pipeline defect level is level three and excavation verification is required immediately.

8. The underground industrial pipeline integrity detection and evaluation method according to claim 7 is characterized in that: Locations where pipeline defect levels are level 2 and 3 are identified as excavation verification points.

9. The underground industrial pipeline integrity detection and evaluation method according to claim 1 is characterized in that: The contact detection data is obtained by using non-destructive detection technology.

10. The underground industrial pipeline integrity detection and evaluation method according to claim 1, characterized in that: The contact inspection data includes the length, width and depth of the defect.

11. The underground industrial pipeline integrity detection and evaluation method according to claim 1 is characterized in that: The maintenance response decision includes a maintenance response level, and the maintenance response level includes: Immediate repair, this level includes pipeline defects with an estimated repair factor ERF>1; pipeline defects with a remaining life RL not exceeding 1 year; scratches, cracks or arc burns; bend dents; dents containing corrosion and the corrosion depth exceeds 40% of the pipe wall; dents related to welds and the depth exceeds 2% of the pipe diameter; and dents with a depth exceeding 6% of the pipe diameter; Planned maintenance, this level includes pipeline defects with an estimated maintenance ratio of 0.9 < ERF ≤ 1; pipeline defects with a remaining life RL of 1 to 2 years; in pipelines with a diameter greater than or equal to 300 mm, pits that are not related to welds and have a depth of 2% to 6% of the pipe diameter; in pipelines with a diameter less than 300 mm, pits that are not related to welds and have a depth of more than 6.35 mm; pits containing corrosion and a corrosion depth of 10% to 40% of the pipe wall; selective weld corrosion or corrosion along the weld; dents and grooves that exceed 12.5% ​​of the pipe wall thickness; and pipeline defects located at intersections with other pipelines and with a depth exceeding 30% of the pipe wall thickness; Routine maintenance, this level includes pipe defects that are not subject to immediate repair and planned repair.

12. The underground industrial pipeline integrity detection and evaluation method according to claim 11, characterized in that: The re-inspection time is determined for pipeline defects with a maintenance response level of routine maintenance based on the industrial pipeline grade and the remaining life of the pipeline.

13. The underground industrial pipeline integrity detection and evaluation method according to claim 12, characterized in that: The re-inspection time for GC1 and GC2 grade pipelines shall not exceed 6 years, and the re-inspection time for GC3 grade pipelines shall not exceed 9 years, and the re-inspection time shall not exceed half of the remaining life of the pipeline.

14. An underground industrial pipeline integrity detection and evaluation system, characterized in that: The method according to any one of claims 1 to 13, comprising: A magnetic stress detection unit, which is used to obtain magnetic stress detection data of underground industrial pipelines; A low-frequency waveguide detection unit is used for low-frequency waveguide detection data at the intersection of the abnormal position of magnetic stress detection data in industrial pipelines and the specified position of pipeline data; A data processing unit, which is used to determine the excavation verification point according to the magnetic stress detection data and the low-frequency guided wave detection data; A contact detection unit, used to obtain contact detection data of the excavation verification point; an evaluation unit for performing corrosion evaluation on the excavation verification point based on the contact detection data; and The maintenance decision generating unit is used to generate a maintenance response decision.

15. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the underground industrial pipeline integrity detection and evaluation method as described in any one of claims 1 to 13.

16. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable the computer to execute the underground industrial pipeline integrity detection and evaluation method as described in any one of claims 1 to 13.

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