Pipeline detection method, device, equipment, storage medium and computer program product

Abstract

This invention discloses a pipeline inspection method, apparatus, equipment, storage medium, and computer program product, relating to the field of pipeline inspection technology. After obtaining the magnitude of the magnetic field and the pipeline burial depth at the location of magnetic distortion in the in-service pipeline under test, the relative permeability and stress at the location of magnetic distortion are determined based on the magnetic field magnitude and pipeline burial depth. A model is then determined based on this relative permeability, stress, and type of magnetic distortion to identify the type of magnetic distortion in the in-service pipeline.

Description

Technical Field

[0001] This application relates to the field of pipeline inspection technology, and in particular to a pipeline inspection method, apparatus, equipment, storage medium, and computer program product. Background Technology

[0002] Oil and gas pipeline transportation is the main way to transport oil and natural gas. However, most oil and gas pipelines are buried underground and are susceptible to threats such as environmental corrosion, third-party damage, and natural disasters. Under long-term service conditions, pipelines are prone to magnetic distortion.

[0003] When the stress does not exceed the material's yield strength, dislocations will form within the material, resulting in microscopic magnetic distortion. When the stress exceeds the yield strength, plastic deformation will occur, leading to macroscopic magnetic distortion, manifested as macroscopic defects. Magnetic distortion seriously threatens the safe operation of pipelines, and microscopic magnetic distortion can develop into macroscopic magnetic distortion under the complex conditions of buried pipelines during long-term service. Because there are many types of magnetic distortion, the inspection methods differ depending on the type. Therefore, accurately determining the type of magnetic distortion in a pipeline to improve subsequent maintenance efficiency has become an urgent technical problem to be solved. Summary of the Invention

[0004] The purpose of this application is to provide a pipeline inspection method, apparatus, equipment, storage medium, and computer program product, which aims to accurately determine the type of magnetic distortion in pipelines in order to improve pipeline maintenance efficiency.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] In a first aspect, this application provides a pipeline inspection method, comprising: obtaining the magnitude of the magnetic field on the surface of the overburden at the location where magnetic distortion occurs in the target pipeline and the pipeline burial depth; determining the relative permeability and stress at the location of magnetic distortion based on the magnitude of the magnetic field and the pipeline burial depth; and determining a model based on the relative permeability, stress, and type of magnetic distortion to determine the type of magnetic distortion in the target pipeline.

[0007] Based on the aforementioned technical means, this application can determine the relative permeability and stress at the location of magnetic distortion in the target pipeline by considering the magnitude of the magnetic field on the surface of the overburden and the pipeline's burial depth. Then, based on the magnetic distortion type determination model, the magnetic distortion type corresponding to the relative permeability and stress at the magnetic distortion location can be determined. Since different types of magnetic distortion correspond to different relative permeability and stress, by inputting the pipeline's relative permeability and stress into the distortion type determination model, the magnetic distortion type of the pipeline can be accurately determined. This allows for subsequent determination of the corresponding maintenance method based on the magnetic distortion type, improving the efficiency of pipeline maintenance.

[0008] In one possible implementation, the relative permeability and stress at the location of magnetic distortion are determined based on the magnitude of the magnetic field and the burial depth of the pipe, including: determining the magnetic induction intensity at the location of magnetic distortion based on the magnitude of the magnetic field and the burial depth of the pipe; and determining the relative permeability and stress at the location of magnetic distortion based on the magnetic induction intensity.

[0009] In one possible implementation, the magnetic flux density at the magnetic distortion point satisfies a first preset formula, which is:

[0010] B = B0 + 3.7 s +1.368;

[0011] Where B represents the magnetic induction intensity, S represents the burial depth of the pipe, and B0 represents the magnitude of the magnetic field.

[0012] In one possible implementation, the relative permeability satisfies a second preset formula, which is:

[0013] B=μ0μ σ H;

[0014] Where B represents the magnetic flux density, μ0 represents the free permeability, and μ σ The value represents the relative permeability, and H represents the geomagnetic field strength.

[0015] The stress satisfies the third preset formula, which is:

[0016] B = 1.24σ - 0.495;

[0017] Where B represents magnetic flux density and σ represents stress.

[0018] In one possible implementation, the method further includes: acquiring historical inspection data of the target pipeline, the historical inspection data being used to indicate the location and type of magnetic distortion in the in-service pipeline; and optimizing the magnetic distortion type determination model when the magnetic distortion type of the in-service pipeline does not match the historical inspection data.

[0019] Based on the above technical means, this application can further revise the magnetic distortion type determination model by comparing the magnetic distortion type of the target pipeline with the magnetic distortion type in historical detection data, thereby improving the accuracy of the model data and thus improving the accuracy of the judgment of the magnetic distortion type of the pipeline.

[0020] In one possible implementation, the above-mentioned determination of the magnetic distortion type of the in-service pipeline based on the relative permeability, stress, and magnetic distortion type at the magnetic distortion location includes: inputting the relative permeability and stress into the magnetic distortion type determination model to determine the magnetic distortion characteristic parameters of the in-service pipeline; determining the magnetic distortion type corresponding to the magnetic distortion characteristic parameters according to a preset correspondence, and using the magnetic distortion type corresponding to the magnetic distortion characteristic parameters as the magnetic distortion type of the in-service pipeline; wherein, the preset comparison relationship includes the magnetic distortion characteristic parameters corresponding to each of the multiple magnetic distortion types.

[0021] Based on the above technical means, this application can input the target pipeline inspection data into the magnetic distortion type determination model, thereby outputting the magnetic distortion type characteristic parameters of the target pipeline, which greatly facilitates the judgment of magnetic distortion type during pipeline inspection.

[0022] One possible implementation involves optimizing the magnetic distortion type determination model, including:

[0023] By inspecting the target pipeline, the values ​​of multiple parameters are determined; the target pipeline has the same specifications as the in-service pipeline, but the material is different; the multiple parameters are determined by the magnetic distortion type to determine the parameters of the model.

[0024] The magnetic distortion type determination model is optimized based on the aforementioned parameters.

[0025] Based on the above technical means, this application can further improve the accuracy of the magnetic distortion type determination model by continuously optimizing the model.

[0026] In one possible implementation, the magnetic distortion type determination model satisfies the fourth preset formula, which is:

[0027]

[0028] Where τ represents the active excitation coefficient, μ σ μ represents the relative permeability of a ferromagnetic material under stress. k B represents the relative permeability caused by the pinning effect. m λ represents the saturation magnetic flux density, σ represents the stress, and λ represents the saturation magnetic flux density. m μ0 represents the saturation magnetostriction coefficient, μ1 represents the vacuum permeability, and μ1 represents the relative permeability of the ferromagnetic material when it is not under stress. a and b are undetermined coefficients that are related to the type of magnetic distortion.

[0029] In one possible implementation, the relative permeability caused by the pinning effect satisfies the fifth pre-defined formula:

[0030]

[0031] Where k represents the pinning coefficient, Bm M represents the saturation magnetic flux density, and M represents the magnetization. an denoted by hysteresis-free magnetization, H represents the applied magnetic field strength, and c represents the reversible component coefficient.

[0032] Based on the above-mentioned technical means, the magnetic distortion type determination model in this application introduces the active excitation coefficient and the relative permeability caused by the pinning effect, which enables the magnetic distortion type determination model to identify microscopic magnetic distortion and improves the accuracy of magnetic distortion type identification.

[0033] Secondly, this application provides a pipeline detection device, which includes: an acquisition module, a determination module, and an optimization module. The acquisition module is used to acquire the magnitude of the magnetic field on the surface of the overburden at the location where magnetic distortion occurs in the pipeline under test, as well as the pipeline burial depth;

[0034] The determination module is used to determine the relative permeability and stress at the location of magnetic distortion based on the magnitude of the magnetic field and the burial depth of the pipeline.

[0035] The optimization module is used to optimize the magnetic distortion type determination model when the magnetic distortion type of the in-service pipeline does not match the historical detection data.

[0036] The determination module is also used to determine the magnetic distortion type of the in-service pipeline by determining the model based on the relative permeability, stress, and magnetic distortion type.

[0037] In one possible implementation, a determining module is specifically used to determine the magnetic induction intensity at the location of magnetic distortion based on the magnitude of the magnetic field and the burial depth of the pipe; and to determine the relative permeability and stress at the location of magnetic distortion based on the magnetic induction intensity.

[0038] In one possible implementation, the magnetic flux density at the magnetic distortion point satisfies a first preset formula, which is:

[0039] B = B0 + 3.7 S +1.368;

[0040] Where B represents the magnetic induction intensity, S represents the burial depth of the pipe, and B0 represents the magnitude of the magnetic field.

[0041] In one possible implementation, the relative permeability at the magnetic distortion point satisfies a second preset formula, which is:

[0042] B=μ0μ σ H;

[0043] B represents the magnetic flux density, μ0 represents the free permeability, and μ σ The value represents the relative permeability, and H represents the geomagnetic field strength.

[0044] The stress satisfies the third preset formula, which is:

[0045] B = 1.24σ - 0.495;

[0046] Where B represents magnetic flux density and σ represents stress;

[0047] In one possible implementation, the acquisition module is further configured to acquire historical inspection data of the target pipeline, which indicates the location and type of magnetic distortion in the in-service pipeline. The optimization module is further configured to optimize the magnetic distortion type determination model when the magnetic distortion type of the in-service pipeline does not match the historical inspection data.

[0048] In one possible implementation, the determining module is specifically used to determine the magnetic distortion type of the target pipeline based on the aforementioned model that determines the relative permeability, stress, and magnetic distortion type at the magnetic distortion point. This includes inputting the relative permeability and stress into the magnetic distortion type determining model to determine the magnetic distortion characteristic parameters of the in-service pipeline.

[0049] Based on the preset correspondence, the magnetic distortion type corresponding to the magnetic distortion characteristic parameter is determined, and the magnetic distortion type corresponding to the magnetic distortion characteristic parameter is taken as the magnetic distortion type of the in-service pipeline; wherein, the preset comparison relationship includes the magnetic distortion characteristic parameter corresponding to each magnetic distortion type among multiple magnetic distortion types.

[0050] In one possible implementation, the optimization module, specifically used to optimize the magnetic distortion type determination model, includes:

[0051] By inspecting the target pipeline, the values ​​of multiple parameters are determined; the target pipeline has the same specifications as the in-service pipeline, but the material is different; the multiple parameters are the parameters of the model that determine the magnetic distortion type.

[0052] The model for determining the type of magnetic distortion is optimized based on multiple parameters.

[0053] In one possible implementation, the magnetic distortion type determination model satisfies the following fourth preset formula:

[0054]

[0055] Where τ represents the active excitation coefficient, μ0 represents the relative permeability of the ferromagnetic material under stress, and μ k B represents the relative permeability caused by the pinning effect. m λ represents the saturation magnetic flux density, σ represents the stress, and λ represents the saturation magnetic flux density. m μ0 represents the saturation magnetostriction coefficient, μ1 represents the vacuum permeability, and μ1 represents the relative permeability of the ferromagnetic material when it is not under stress. a and b are undetermined coefficients that are related to the type of magnetic distortion.

[0056] In one possible implementation, the relative permeability caused by the pinning effect satisfies the following fifth presupposition formula:

[0057]

[0058] Where k represents the pinning coefficient, B m M represents the saturation magnetic flux density, and M represents the magnetization. an denoted by hysteresis-free magnetization, H represents the applied magnetic field strength, and c represents the reversible component coefficient.

[0059] Thirdly, this application provides an electronic device comprising a probe, a handle, and a data cable. The handle is fixedly connected to the probe via a hollow connecting rod; one end of the data cable is connected to the probe, and the other end passes through the hollow connecting rod and is connected to a portable host.

[0060] In one possible implementation, the probe is equipped with multiple triaxial fluxgate sensors in the lateral direction and multiple triaxial fluxgate sensors in the vertical direction; wherein, a pipe depth sensor is installed at the intersection of the connecting lines of the lateral fluxgate sensors and the connecting lines of the vertical fluxgate sensors.

[0061] In one possible implementation, the portable host includes a casing, a motherboard, and a display. The motherboard is installed inside the casing, the display is installed on the side of the casing and connected to the motherboard via signals, and the motherboard is connected to the probe via a data cable.

[0062] Fourthly, this application provides an electronic device comprising: a processor and a communication interface. The communication interface is coupled to the processor, which is configured to execute computer programs or instructions to implement the pipeline detection method as described in the first aspect and any possible implementation thereof.

[0063] Fifthly, this application provides a computer-readable storage medium storing instructions that, when executed on a terminal, cause the terminal to perform the pipeline detection method as described in the first aspect and any possible implementation thereof.

[0064] Sixthly, this application provides a computer program product containing instructions that, when run on an electronic device, cause the electronic device to perform the pipeline detection method as described in the first aspect and any possible implementation thereof. Attached Figure Description

[0065] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a schematic diagram of the structure of a pipeline detection device provided in an embodiment of this application;

[0067] Figure 2 A flowchart of a pipeline inspection method provided in an embodiment of this application;

[0068] Figure 3 A flowchart illustrating yet another pipeline inspection method provided in this application embodiment;

[0069] Figure 4 This is a schematic diagram of another pipeline detection device provided in the embodiments of this application. Detailed Implementation

[0070] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0071] In the description of this application, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or relative positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and for simplification, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. Unless otherwise specified, the above-mentioned orientational descriptions can be flexibly set in practical applications, provided that the relative positional relationships shown in the accompanying drawings are satisfied.

[0072] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0073] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," and "communication" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection. They can refer to a direct connection or an indirect connection through an intermediate medium, or a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0074] In embodiments of this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, article, or apparatus that includes that element.

[0075] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0076] In the description of this specification, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0077] For example, Figure 1 The diagram shows a schematic of a pipeline detection device provided in an embodiment of this application.

[0078] The pipeline detection device includes a probe 101, a handle 102, a data cable 103, and a portable host 104.

[0079] The handle 102 is fixedly connected to the probe 101 via a hollow connecting rod. One end of the data cable 103 is connected to the probe 101, and the other end passes through the hollow connecting rod and is connected to the portable host 104. The probe 101 has multiple triaxial fluxgate sensors in the horizontal direction and multiple triaxial fluxgate sensors in the vertical direction.

[0080] A pipe depth sensor is installed at the intersection of the connecting lines of the horizontally arranged triaxial fluxgate sensor and the vertically arranged fluxgate sensor. The pipe depth sensor can be used to detect the burial depth of the pipe. The triaxial fluxgate sensor can be used to detect the magnetic field strength and direction.

[0081] In one example, the portable host 104 includes a casing, a motherboard, and a display.

[0082] Specifically, the motherboard is installed inside the casing; the monitor is installed on the side of the casing and is connected to the motherboard via a signal, and the motherboard is connected to the probe via a data cable.

[0083] The motherboard includes a power module, a data storage module, a data processing module, and a data transmission interface. The data storage module includes a data formula storage unit, a parameter storage unit, a coefficient storage unit, and a probe data storage unit. The data processing module includes a noise reduction unit, a calculation unit, and a coefficient comparison unit. These units are described in detail below.

[0084] 1-1. A data formula storage unit can be used to store data formulas, such as Formula 1 to Formula 6 in the following embodiments.

[0085] 1-2. The parameter storage unit can be used to store parameters in the formula, such as the parameters in Formula 1 to Formula 6 in the following embodiments.

[0086] 1-3. The coefficient storage unit can be used to store the parameters or parameter set output by the magnetic distortion type determination model.

[0087] 1-4. The probe data storage unit can be used to store the data information detected by the probe of the pipeline detection device.

[0088] 1-5. The noise reduction unit can be used to correct the set of characteristic parameters of magnetic distortion type, thereby achieving data noise reduction.

[0089] 1-6. The calculation unit can be used for the calculation of Formula 1 to Formula 6 in the following embodiments.

[0090] 1-7. The coefficient comparison unit can be used to compare the calculated magnetic distortion type characteristic parameters of the pipeline with the set of magnetic distortion type characteristic parameters to obtain a comparison result. This comparison result can be used to confirm the magnetic distortion type of the pipeline.

[0091] In one possible implementation, the display includes a screen, a keypad, a knob, a power button, and a power indicator.

[0092] The display screen shows data detected by the probe (such as the location of magnetic distortion in the pipeline, pipeline burial depth, etc.), while the keypad allows users to input commands and data. The control knob is used for parameter adjustment, function switching, and signal input; the power button manages the display's power switch; and the power indicator light indicates the display's power status.

[0093] In one embodiment, this application also provides a detection system, which includes the above-mentioned pipeline detection device and pipeline route locator.

[0094] Among them, the pipeline positioning instrument is used to accurately locate the route, burial depth, and fault points of underground metal pipelines, cables, and other pipelines.

[0095] like Figure 2 As shown in the figure, this application provides a pipeline inspection method, which includes: S201-S203.

[0096] S201. Obtain the magnitude of the magnetic field at the location where magnetic distortion occurs in the pipeline under test, as well as the pipeline burial depth.

[0097] Among them, the pipeline under test refers to the pipeline that has already been put into production and use. This pipeline is generally buried underground. The magnitude of the magnetic field of the pipeline is the same as the magnitude of the magnetic field of the soil surface at the magnetic distortion point, and the burial depth of the pipeline is the same as the burial depth of the pipeline at the magnetic distortion point. That is, the distance between the pipeline and the ground surface.

[0098] In one possible implementation, the pipeline route is located by measuring the pipeline route location, and the coordinates of the magnetic distortion point of the in-service pipeline, the magnitude of the magnetic field on the soil surface at the magnetic distortion point, and the burial depth of the pipeline at the magnetic distortion point are measured by the pipeline detection device.

[0099] Specifically, a pipeline route locator is used to measure the route of the in-service pipeline under test to obtain its orientation and path. Based on the magnetic memory detection method, a pipeline detection device is used to measure the magnetic field data (such as magnetic field magnitude and direction) of the in-service pipeline along its route. When the triaxial fluxgate sensor on the pipeline detection device probe measures the normal magnetic induction intensity B at a certain point in the in-service pipeline... z When the point crosses zero, it is considered that there is magnetic distortion. At this time, the coordinates of the magnetic distortion point and the burial depth of the pipeline at the magnetic distortion point can be measured by the pipeline depth sensor.

[0100] Since the excitation magnetic field of the magnetic memory detection method used is the geomagnetic field, the strength of the geomagnetic field is relatively small, about 30 A / m to 50 A / m. The magnetic flux signal obtained by the probe is in the nanotesla (nT) range. Therefore, if there is a chaotic magnetic field in the test site, the influence of the chaotic magnetic field can be eliminated by the reverse magnetic field elimination method.

[0101] Among these methods, the elimination of reverse magnetic fields can refer to applying a magnetic field in the opposite direction to the original magnetic field or utilizing material properties to neutralize or weaken the magnetism of the pipe. For specific details, please refer to existing technologies, which will not be elaborated upon here.

[0102] S202. Determine the relative permeability and stress at the location of magnetic distortion based on the magnitude of the magnetic field and the burial depth of the pipeline.

[0103] In one example, the magnetic flux density at the point of magnetic distortion can satisfy Equation 1.

[0104] B = B0 + 3.7 S +1.368 Formula 1

[0105] Where B represents the magnetic induction intensity at the point of magnetic distortion, B0 represents the magnitude of the magnetic field at the point of magnetic distortion, and S represents the burial depth of the pipeline.

[0106] Furthermore, the relative permeability at the magnetic distortion point can be determined based on the magnetic flux density at the distortion point. The relative permeability satisfies Formula 2.

[0107] B=μ0μ σ Formula 2

[0108] Where B represents the magnetic flux density at the point of magnetic distortion, μ0 represents the free permeability constant, and μ σ The relative permeability at the point of magnetic distortion is represented by , and H represents the intensity of the geomagnetic field.

[0109] The stress at the magnetic distortion point can be determined based on the magnetic flux density at that point. The stress at the magnetic distortion point satisfies Formula 3.

[0110] B = 1.24σ - 0.495 (Formula 3)

[0111] Where B represents the magnetic flux density at the point of magnetic distortion, and σ represents the stress at the point of magnetic distortion.

[0112] S203. Determine the model based on the relative permeability, stress, and type of magnetic distortion at the point of magnetic distortion, and determine the type of magnetic distortion in the in-service pipeline.

[0113] Among them, the magnetic distortion type determination model is used to determine the magnetic distortion type of the pipeline.

[0114] In one possible implementation, the relative permeability and stress at the magnetic distortion point are input into the magnetic distortion type determination model to obtain the magnetic distortion characteristic parameters of the in-service pipeline. Then, based on the set of magnetic distortion type characteristic parameters, the magnetic distortion type corresponding to the magnetic distortion characteristic parameters of the in-service pipeline is determined, and this magnetic distortion type is taken as the magnetic distortion type of the in-service pipeline.

[0115] The set of characteristic parameters for magnetic distortion types can include characteristic parameters corresponding to multiple magnetic distortion types. These multiple magnetic distortion types can include defects, corrosion, welds, scratches, local loads, etc.

[0116] For example, the set of characteristic parameters for magnetic distortion type can be {a,b}={a c ,b c ;a d ,b d ;...a g ,bg}. c represents defect, d represents corrosion, e represents weld, f represents scratch, g represents local load, for example, (a c ,b c ) represents the characteristic parameter of magnetic distortion type when the magnetic distortion type is a defect.

[0117] In one example, the magnetic distortion type determination model satisfies Formula 4.

[0118]

[0119] Where τ represents the active excitation coefficient, μ0 represents the relative permeability of the ferromagnetic material under stress, and μ k B represents the relative permeability caused by the pinning effect. m λ represents the saturation magnetic flux density, σ represents the stress, and λ represents the saturation magnetic flux density. m μ represents the saturation magnetostriction coefficient, μ0 represents the vacuum permeability, μ1 represents the relative permeability of the ferromagnetic material when it is not under stress, and a and b represent the characteristic parameters of magnetic distortion type.

[0120] Among them, the relative permeability μ caused by the pinning effect k The calculation satisfies Formula 5.

[0121]

[0122] Where k represents the pinning coefficient, B m M represents the saturation magnetic flux density, and M represents the magnetization. an denoted by hysteresis-free magnetization, H represents the applied magnetic field strength, and c represents the reversible component coefficient.

[0123] Based on the aforementioned technical methods, the relative permeability and stress at the location of magnetic distortion in the target pipeline are determined according to the magnitude of the magnetic field on the surface of the overburden and the pipeline's burial depth. Then, a magnetic distortion type determination model is used to identify the type of magnetic distortion corresponding to the relative permeability and stress at the distortion location. Since different types of magnetic distortion correspond to different relative permeability and stress, by inputting the pipeline's relative permeability and stress into the distortion type determination model, the type of magnetic distortion can be accurately determined. This allows for the subsequent determination of the corresponding maintenance method based on the magnetic distortion type, improving the efficiency of pipeline maintenance.

[0124] In one embodiment, a set of characteristic parameters for magnetic distortion types can be obtained through testing. For example, the set of characteristic parameters for magnetic distortion types can be obtained through two-dimensional pipe testing and three-dimensional pipe testing.

[0125] The following describes the two-dimensional and three-dimensional pipe tests.

[0126] 2-1 Two-dimensional pipe testing

[0127] Two-dimensional pipe testing refers to obtaining multiple parameters by conducting two-dimensional pipe tests on a target pipe (also known as the test pipe). The target pipe has the same or similar pipe material information as the aforementioned in-service pipe. Pipe material information can include material, specifications, etc. For example, if the in-service pipe is made of Q235 steel bars with specifications of De219×6.5 mm, that is, the outer diameter of the in-service pipe is 219 mm and the wall thickness is 6.5 mm, then the target pipe can also be made of Q235 steel with specifications of De219×6.5 mm.

[0128] Among them, multiple parameters may include saturation magnetic induction, magnetostriction coefficient, magnetization of non-magnetic material, relative permeability of ferromagnetic material when unstressed, pinning coefficient, and reversible component coefficient in the magnetic distortion type determination model.

[0129] Specifically, the hysteresis and magnetostriction characteristics of the target pipeline are tested to obtain the hysteresis loop and magnetostriction loop under different stresses within the elastic range of the target pipeline material. Based on the hysteresis loop and magnetostriction loop, the saturation magnetic induction intensity, magnetostriction coefficient, magnetization intensity of non-magnetic material, relative permeability of ferromagnetic material under no stress, pinning coefficient, and reversible component coefficient of the target pipeline are extracted.

[0130] 2-2. Three-dimensional pipe test.

[0131] The three-dimensional pipe test involves setting multiple types of magnetic distortions on a three-dimensional pipe and, using a magnetic memory detection method, testing the uncovered three-dimensional pipe to obtain the magnetic induction intensity at each distortion location. Multiple types of magnetic distortions can be set; for example, two. Then, the set of magnetic induction intensities corresponding to these multiple types of magnetic distortions is {B1, B2} = {B... c1 B c2 B d1 B d2 ;...B g1 B g 2};

[0132] If there is a chaotic magnetic field in the test site, it is necessary to use reverse magnetic field elimination methods to eliminate the influence of the chaotic magnetic field.

[0133] After obtaining the set of magnetic induction intensities at the locations of magnetic distortion in the three-dimensional pipe, the set of permeability at the magnetic distortion locations can be determined according to Formula 2.

[0134] {μ σ1 ,μ σ2}={μ σa1 ,μ σa2 μ σb1 ,μ σb2 ;...μ σg1,μ σg2}

[0135] The stress magnitude at the magnetic distortion site was measured using a contact testing method, yielding the stress set {σ1,σ2} = {σ c1 ,σ c2 ;σ d1 ,σ d2 ;...σ g1 ,σ g2}

[0136] Based on the stress set {σ1,σ2} at the magnetic distortion location and the permeability set {μ} at the magnetic distortion location. σ1 ,μ σ2 The set of characteristic parameters for determining the type of magnetic distortion is determined by the permeability caused by the pinning effect, satisfying Formula 6.

[0137]

[0138] Where, μ σ μ represents the relative permeability of a ferromagnetic material under stress. k B represents the relative permeability caused by the pinning effect. m λ represents the saturation magnetic flux density, σ represents the stress, and λ represents the saturation magnetic flux density. m μ0 represents the saturation magnetostriction coefficient, μ1 represents the free permeability, and μ1 represents the relative permeability of the ferromagnetic material when unstressed. a and b represent undetermined coefficients, which differ depending on the type of magnetic distortion. The set of undetermined coefficients a and b is the set of characteristic parameters for the magnetic distortion type: {a, b} = {a...} c ,b c ;a d ,b d ; ...a g ,b g}

[0139] Furthermore, the magnetic distortion type characteristic parameters of the in-service pipeline are compared with the set of magnetic distortion type characteristic parameters. Within the error range, the magnetic distortion type parameter that is closest to the magnetic distortion type characteristic parameters of the in-service pipeline is found. The magnetic distortion type represented by this parameter is the magnetic distortion type of the in-service pipeline.

[0140] In some embodiments, such as Figure 3 As shown, when the magnetic distortion type of the in-service pipeline does not match the historical inspection data, optimizing the magnetic distortion type determination model can include the following steps:

[0141] S301. Obtain historical inspection data of the pipeline to be tested in service.

[0142] Among them, historical monitoring data is used to indicate the location and type of magnetic distortion that has occurred in in-service pipelines during their service life;

[0143] The historical inspection data of the pipeline under test includes the coordinates and types of magnetic distortions observed during historical inspections. This historical inspection data can be used to indicate the location of magnetic distortions and the type of magnetic distortion at that location.

[0144] S302. When the magnetic distortion type of the in-service pipeline does not match the historical detection data, the magnetic distortion type determination model shall be optimized.

[0145] In one possible implementation, the magnetic distortion type of the in-service pipeline obtained in S203 is compared with the magnetic distortion type recorded at the same coordinate position in the historical inspection data of this in-service pipeline. If the magnetic distortion type of the in-service pipeline obtained in S203 is different from the magnetic distortion type recorded at the same coordinate position in the historical inspection data, it indicates that the parameters in the magnetic distortion type determination model are incorrect and the magnetic distortion type determination model needs to be optimized.

[0146] Furthermore, the two-dimensional and three-dimensional pipe tests are repeated. During the repetition, pipes of different materials or specifications are selected as new target pipes, and two-dimensional and three-dimensional pipe tests are performed on the new target pipes to obtain a corrected set of magnetic distortion type characteristic parameters. The corrected set is then compared again with the magnetic distortion type characteristic parameters of the in-service pipes until the magnetic distortion type of the in-service pipe obtained by comparing the comparison set and the measured magnetic distortion type characteristic parameters of the in-service pipes is the same as the magnetic distortion type recorded at that coordinate position in the historical inspection data of the in-service pipes.

[0147] For example, replace it with a pipe made of L245 steel bar with a specification of De219×6.5mm.

[0148] If the magnetic distortion type determined by the magnetic distortion characteristic parameters of the in-service pipeline and the preset set of magnetic distortion characteristic parameters is the same as the magnetic distortion type recorded at the same coordinate position in the historical detection data, then the mathematical model of the magnetic distortion type can be used to determine the magnetic distortion type of all pipelines with the same pipe material as the in-service pipeline.

[0149] In this way, both macroscopic and microscopic magnetic distortion of the pipeline can be detected using two sets of measurement data, which greatly reduces the complexity of the pipeline magnetic distortion detection process and saves manpower and material resources.

[0150] Figure 4 This is a schematic diagram of a pipeline detection device provided in an embodiment of this application. Figure 4As shown, the pipeline detection device 40 can be used to perform... Figure 2 The pipeline detection method shown is illustrated. The pipeline detection device 40 includes: an acquisition module 401, a determination module 402, and an optimization module 403.

[0151] The determination module 402 is used to determine the relative permeability and stress at the location of magnetic distortion based on the magnitude of the magnetic field and the burial depth of the pipeline.

[0152] The optimization module 403 is used to optimize the magnetic distortion type determination model when the magnetic distortion type of the in-service pipeline does not match the historical detection data.

[0153] The determination module 402 is also used to determine the magnetic distortion type of the in-service pipeline by determining the model based on the relative permeability, stress and magnetic distortion type.

[0154] In one possible implementation, the determining module 402 is specifically used to determine the magnetic induction intensity at the location of magnetic distortion based on the magnitude of the magnetic field and the burial depth of the pipeline; and to determine the relative permeability and stress at the location of magnetic distortion based on the magnetic induction intensity.

[0155] In one possible implementation, the magnetic flux density at the magnetic distortion point satisfies a first preset formula, which is:

[0156] B = B0 + 3.7 S +1.368;

[0157] Where B represents the magnetic induction intensity, S represents the burial depth of the pipe, and B0 represents the magnitude of the magnetic field.

[0158] In one possible implementation, the relative permeability at the magnetic distortion point satisfies a second preset formula, which is:

[0159] B=μ0μ σ H;

[0160] B represents the magnetic flux density, μ0 represents the free permeability, and μ σ The value represents the relative permeability, and H represents the geomagnetic field strength.

[0161] The stress satisfies the third preset formula, which is:

[0162] B = 1.24σ - 0.495;

[0163] Where B represents magnetic flux density and σ represents stress;

[0164] In one possible implementation, the acquisition module 401 is further configured to acquire historical inspection data of the target pipeline, which indicates the location and type of magnetic distortion in the in-service pipeline. The optimization module is further configured to optimize the magnetic distortion type determination model when the magnetic distortion type of the in-service pipeline does not match the historical inspection data.

[0165] In one possible implementation, the determining module 402 is specifically used to determine the magnetic distortion type of the target pipeline based on the aforementioned model determined by the relative permeability, stress, and magnetic distortion type at the magnetic distortion point. This includes inputting the relative permeability and stress into the magnetic distortion type determining model to determine the magnetic distortion characteristic parameters of the in-service pipeline.

[0166] Based on the preset correspondence, the magnetic distortion type corresponding to the magnetic distortion characteristic parameter is determined, and the magnetic distortion type corresponding to the magnetic distortion characteristic parameter is taken as the magnetic distortion type of the in-service pipeline; wherein, the preset comparison relationship includes the magnetic distortion characteristic parameter corresponding to each magnetic distortion type among multiple magnetic distortion types.

[0167] In one possible implementation, the optimization module 403 is specifically used to optimize the magnetic distortion type determination model, including:

[0168] By inspecting the target pipeline, the values ​​of multiple parameters are determined; the target pipeline has the same specifications as the in-service pipeline, but the material is different; the multiple parameters are determined by the magnetic distortion type to determine the parameters of the model.

[0169] The magnetic distortion type determination model is optimized based on the aforementioned parameters.

[0170] In one possible implementation, the magnetic distortion type determination model satisfies the following fourth preset formula:

[0171]

[0172] Where τ represents the active excitation coefficient, μ0 represents the relative permeability of the ferromagnetic material under stress, and μ k B represents the relative permeability caused by the pinning effect. m λ represents the saturation magnetic flux density, σ represents the stress, and λ represents the saturation magnetic flux density. m μ represents the saturation magnetostriction coefficient, μ0 represents the vacuum permeability, μ1 represents the relative permeability of the ferromagnetic material when it is not under stress, and a and b represent undetermined coefficients that are related to the type of magnetic distortion.

[0173] In one possible implementation, the relative permeability caused by the pinning effect satisfies the following fifth presupposition formula:

[0174]

[0175] Where k represents the pinning coefficient, B m M represents the saturation magnetic flux density, and M represents the magnetization. an denoted by hysteresis-free magnetization, H represents the applied magnetic field strength, and c represents the reversible component coefficient.

[0176] Through the above description of the embodiments, those skilled in the art will clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0177] This disclosure also provides a computer-readable storage medium storing instructions that, when executed by a processor of an electronic device, enable the electronic device to perform the pipeline detection method provided in the embodiments of this disclosure described above.

[0178] This disclosure also provides a computer program product containing instructions that, when run on an electronic device, cause the electronic device to perform the pipeline detection method provided in the above-described embodiments of this disclosure.

[0179] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: electrical connections having one or more wires; portable computer disks; hard disks; random access memory (RAM); read-only memory (ROM); erasable programmable read-only memory (EPROM); registers; hard disks; optical fibers; portable compact disc read-only memory (CD-ROM); optical storage devices; magnetic storage devices; or any suitable combination thereof; or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may reside in an application-specific integrated circuit (ASIC). In the embodiments of this application, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0180] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A pipeline inspection method, characterized in that, The method includes: Obtain the magnitude of the magnetic field at the location where magnetic distortion occurs in the in-service pipeline under test, as well as the pipeline's burial depth; Based on the magnitude of the magnetic field and the burial depth of the pipeline, determine the relative permeability and stress at the location of the magnetic distortion; The magnetic distortion type of the in-service pipeline is determined by establishing a model based on the relative permeability, the stress, and the type of magnetic distortion.

2. The method according to claim 1, characterized in that, Based on the magnitude of the magnetic field and the burial depth of the pipeline, the relative permeability and stress at the location of magnetic distortion are determined, including: The magnetic induction intensity at the location of the magnetic distortion is determined based on the magnitude of the magnetic field and the burial depth of the pipeline. Based on the magnetic induction intensity, the relative permeability and stress at the location of the magnetic distortion are determined.

3. The method according to claim 2, characterized in that, The magnetic induction intensity satisfies a first preset formula, which is: B=B0+3.7 S +1.368; Wherein, B represents the magnetic induction intensity, S represents the burial depth of the pipeline, and B0 represents the magnitude of the magnetic field.

4. The method according to claim 2 or 3, characterized in that, The relative permeability satisfies a second preset formula, which is: B=μ0μ σ H; Where B represents the magnetic induction intensity, μ0 represents the free permeability, and μ σ The relative permeability is represented by H, and the geomagnetic field strength is represented by H. The stress satisfies a third preset formula, which is: B = 1.24σ - 0.495; Wherein, B represents the magnetic flux density, and σ represents the stress.

5. The method according to any one of claims 1-3, characterized in that, The method further includes: Acquire historical inspection data of the in-service pipeline to be tested, wherein the historical inspection data is used to indicate the location and type of magnetic distortion in the in-service pipeline; If the magnetic distortion type of the in-service pipeline does not match the historical detection data, the magnetic distortion type determination model is optimized.

6. The method according to claim 5, characterized in that, The step of determining the magnetic distortion type of the in-service pipeline based on the relative permeability, the stress, and the magnetic distortion type includes: The relative permeability and the stress input magnetic distortion type are used to determine the magnetic distortion characteristic parameters of the in-service pipeline; According to a preset correspondence, the magnetic distortion type corresponding to the magnetic distortion characteristic parameter is determined, and the magnetic distortion type corresponding to the magnetic distortion characteristic parameter is taken as the magnetic distortion type of the in-service pipeline; wherein, the preset comparison relationship includes the magnetic distortion characteristic parameter corresponding to each magnetic distortion type among multiple magnetic distortion types.

7. The method according to claim 6, characterized in that, The model for determining the type of magnetic distortion is optimized, including: By inspecting the target pipeline, the values ​​of multiple parameters are determined; the target pipeline has the same specifications as the in-service pipeline, but is made of different materials; the multiple parameters are the parameters of the magnetic distortion type determination model. The magnetic distortion type determination model is optimized based on the aforementioned parameters.

8. The method according to claim 7, characterized in that, The magnetic distortion type determination model satisfies a fourth preset formula, which is: Where τ represents the active excitation coefficient, μ0 represents the relative permeability of the ferromagnetic material under stress, and μ k B represents the relative permeability caused by the pinning effect. m λ represents the saturation magnetic flux density, σ represents the stress, and λ represents the saturation magnetic flux density. m μ0 represents the saturation magnetostriction coefficient, μ1 represents the vacuum permeability, and μ1 represents the relative permeability of the ferromagnetic material when it is not under stress. a and b are undetermined coefficients that are related to the type of magnetic distortion.

9. The method according to claim 8, characterized in that, The relative permeability caused by the pinning effect satisfies a fifth preset formula, which is: Where k represents the pinning coefficient, B m M represents the saturation magnetic flux density, and M represents the magnetization. an denoted by hysteresis-free magnetization, H represents the applied magnetic field strength, and c represents the reversible component coefficient.

10. A pipeline inspection device, characterized in that, The pipeline inspection device includes: The probe is used to detect the magnitude of the magnetic field on the surface of the soil at the location where magnetic distortion occurs in the pipeline and the burial depth of the pipeline. Portable host computer; A handle; wherein the handle is fixedly connected to the probe via a hollow connecting rod; A data cable; wherein one end of the data cable is connected to the probe, and the other end passes through the hollow connecting rod and is connected to the portable host.

11. The apparatus according to claim 10, characterized in that, The probe has multiple triaxial fluxgate sensors arranged in the horizontal direction and multiple triaxial fluxgate sensors arranged in the vertical direction; a pipe depth sensor is arranged at the intersection of the connecting lines of the horizontally arranged fluxgate sensors and the connecting lines of the vertically arranged fluxgate sensors.

12. The apparatus according to claim 10 or 11, characterized in that, Portable main unit includes: shell; Motherboard; the motherboard is installed inside the casing; The display is mounted on the side of the housing and is connected to the motherboard via a signal connection. The motherboard is connected to the probe via the data cable.

13. A pipeline inspection device, characterized in that, The pipeline inspection device includes: The acquisition module is used to acquire the magnitude of the magnetic field at the location of magnetic distortion in the in-service pipeline under test, as well as the pipeline burial depth. The determination module is used to determine the relative permeability and stress at the location of the magnetic distortion based on the magnitude of the magnetic field and the burial depth of the pipeline. The determining module is further configured to determine the magnetic distortion type of the in-service pipeline based on the relative permeability, the stress, and the magnetic distortion type.

14. An electronic device, characterized in that, It includes a memory and a processor; the memory and the processor are coupled; the memory is used to store instructions executable by the processor; when the processor executes the instructions, it performs the pipeline detection method as described in any one of claims 1-9.

15. A computer storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on an electronic device, cause the electronic device to perform the pipeline inspection method as described in any one of claims 1-9.

16. A computer program product, characterized in that, When the computer program product is run on the pipeline inspection device, the pipeline inspection device performs the method as described in any one of claims 1-9.

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