Pipeline evaluation method and device based on yield strength randomness, medium and product

Abstract

The application discloses a pipeline evaluation method and device based on yield strength randomness, a medium and a product, relates to the technical field of natural gas pipeline evaluation, and aims to solve the problem of insufficient accuracy of evaluation results in related technologies. The method comprises the following steps: establishing a limit state function of a pipeline; based on the Monte Carlo method, parameters of the pipeline are collected multiple times; based on the parameters and the limit state function, the state of the pipeline corresponding to the multiple acquisitions is determined; the state of the pipeline is a safe state, a limit state or a non-safe state; based on the state of the pipeline corresponding to the multiple acquisitions, the reliability of the pipeline is determined.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of natural gas pipeline evaluation, and particularly relates to a pipeline evaluation method and device based on yield strength randomness, a medium and a product. BACKGROUND

[0002] In the field of natural gas transportation, the reliability of the pipeline can be evaluated to find pipeline nodes that may cause leaks, and then corresponding treatment measures can be taken to reduce safety risks such as natural gas leakage.

[0003] The current pipeline reliability evaluation method has the problem of insufficient accuracy of the evaluation result. SUMMARY

[0004] The present application provides a pipeline evaluation method and device based on yield strength randomness, a medium and a product, aiming to solve the problem of insufficient accuracy of the evaluation result in the related art.

[0005] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0006] The present application provides a pipeline evaluation method based on yield strength randomness, comprising:

[0007] establishing a limit state function of the pipeline;

[0008] based on the Monte Carlo method, collecting parameters of the pipeline multiple times;

[0009] based on the parameters and the limit state function, determining the state of the pipeline corresponding to the multiple collections; the state of the pipeline is a safe state, a limit state or a non-safe state;

[0010] based on the state of the pipeline corresponding to the multiple collections, determining the reliability of the pipeline.

[0011] In the present application, the limit state function of the pipeline can output state-related parameters of the pipeline and can reflect the state of the pipeline. The Monte Carlo method is a random sampling method, which can collect parameters of the pipeline based on satisfying normal distribution, can ensure the randomness of data collection, and can ensure the reliability of the state of the pipeline determined based on the multiple collected parameters of the pipeline, thereby ensuring the reliability and accuracy of the pipeline evaluation.

[0012] In some embodiments, the parameters of the pipeline include at least one of the following:

[0013] the yield strength of the pipeline, the tensile strength of the pipeline, the diameter of the pipeline, the wall thickness of the pipeline, the maximum depth of the corrosion zone of the pipeline, and the axial length of the corrosion zone of the pipeline.

[0014] In some embodiments, the state of the pipeline is a difference between the equivalent stress of the corrosion zone and the yield strength of the pipeline, where the output of the limit state function is less than a difference threshold value, the state of the pipeline is a non-safe state, the state of the pipeline is a limit state when the difference is equal to the difference threshold value, and the state of the pipeline is a safe state when the difference is greater than the difference threshold value.

[0015] The limit state function satisfies the following formula:

[0016] ;

[0017] ;

[0018] wherein, is the difference between the equivalent stress of the corrosion zone and the yield strength of the pipeline; is the yield strength of the pipeline material; is the tensile strength of the pipeline; is the diameter of the pipeline; is the wall thickness of the pipeline; is the maximum depth of the corrosion zone; is the axial length of the corrosion zone.

[0019] In some embodiments, the reliability of the pipeline is determined based on the states of the corresponding pipeline collected multiple times, comprising:

[0020] The failure probability of the pipeline corresponding to the multiple times of collection is determined based on the states of the corresponding pipeline collected multiple times; the failure probability is used to indicate the probability that the pipeline is in a non-safe state;

[0021] The reliability of the pipeline is determined based on the failure probability of the pipeline and a probability threshold value;

[0022] The failure probability of the pipeline corresponding to the multiple times of collection satisfies the following formula:

[0023] ;

[0024] wherein, is the number of times of collection, is the failure probability, indicates the state of the pipeline corresponding to the i-th time of collection.

[0025] In some embodiments, the parameters of the pipeline include parameters of the pipeline corresponding to multiple samples at the current time; the method further comprises:

[0026] The maximum depth of the corrosion zone of the pipeline corresponding to multiple future time points of each of the multiple samples is determined based on the parameters of the pipeline corresponding to the multiple samples at the current time and the corrosion rate;

[0027] ​The maximum depth of the corrosion area of the pipeline at a future time satisfies the following formula:

[0028] ;

[0029] wherein, is the corrosion defect depth at a future time; is the corrosion defect depth at a current time; is a time difference between a future time and a current time; is the corrosion rate;

[0030] Based on the parameters and the limit state function, the state of the pipeline corresponding to each of the multiple acquisitions is determined, including:

[0031] Based on the pipeline parameters and the maximum depth of the corrosion area of the pipeline at the multiple future times corresponding to the multiple samples respectively, the state of the pipeline at the multiple future times is determined;

[0032] Based on the state of the pipeline corresponding to each of the multiple acquisitions, the reliability of the pipeline is determined, including:

[0033] The state of the pipeline at the multiple future times determines the reliability of the pipeline within a preset time period; the preset time period includes the current time and the multiple future times.

[0034] In some embodiments, the corrosion rate is determined based on environmental factors of the pipeline and alternating current density of the pipeline;

[0035] The alternating current density of the pipeline is determined based on the following manner:

[0036] The alternating current density of the pipeline is determined based on the average value of the alternating interference voltage effective value of the pipeline, the soil resistivity corresponding to the pipeline, and the damage point diameter of the pipeline;

[0037] The alternating current density of the pipeline is determined based on the average value of the alternating interference voltage effective value of the pipeline, the soil resistivity corresponding to the pipeline, and the damage point diameter of the pipeline, satisfying the following formula:

[0038] ;

[0039] wherein, is the alternating current density of the pipeline; is the average value of the alternating interference voltage effective value; is the soil resistivity; is the damage point diameter.

[0040] In some embodiments, the damage point diameter of the pipeline is determined based on the following manner:

[0041] determine a break point diameter of the pipeline based on the internal defect data of the pipeline, wherein the internal defect data of the pipeline comprises a defect length of the pipeline and a defect width of the pipeline;

[0042] The break point diameter of the pipeline determined based on the internal defect data of the pipeline satisfies the following formula:

[0043] ;

[0044] wherein, the defect length; the defect width; the break point diameter.

[0045] In some embodiments, the present application provides a pipeline evaluation device based on yield strength randomness, comprising: a processor and a memory configured to store processor-executable instructions; wherein the processor is configured to execute the instructions to implement any of the above optional methods.

[0046] In some embodiments, the present application provides a computer-readable storage medium, and the computer-readable storage medium stores instructions, when the instructions in the computer-readable storage medium are executed by a pipeline evaluation device based on yield strength randomness, the pipeline evaluation device based on yield strength randomness can execute any of the above optional methods.

[0047] In some embodiments, the present application provides a computer program product, and the computer program product comprises computer program instructions, and the computer program instructions are executed by a processor to implement any of the above optional methods. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0049] Figure 1 A flowchart of a pipeline evaluation method based on yield strength randomness provided by the present application;

[0050] Figure 2 A structural diagram of a pipeline evaluation device based on yield strength randomness provided by the present application. DETAILED DESCRIPTION

[0051] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0052] In the description of the present application, it should be understood that the terms "upper", "lower", "left", "right", "front", "back", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings based on the orientation or relative position shown in the drawings, and are only for the purpose of facilitating the description of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise specified, the above orientation description can be flexibly arranged in the actual application process under the condition of meeting the relative position relationship shown in the drawings.

[0053] The terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0054] In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting", "communicating" should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected. It can be directly connected, or indirectly connected through an intermediate medium, or the communication between the two elements inside. For a person of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0055] In the embodiments of the present application, the terms "including", "containing" or any other variant thereof are intended to cover non-exclusive containing, so that the process, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, article or device. Without more limitation, the element defined by the sentence "including a" does not exclude the presence of another identical element in the process, article or device including the element.

[0056] In the embodiments of the present application, the word "exemplary" or "for example" is used to mean serving as an example, instance, or illustration, at 1080 1005 least with respect to the matters described at that point in the disclosure. The use of any of these terms in the description is not an

[0057] In the description of the present specification, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0058] In the manufacturing process, due to the influence of material composition, processing technology and other factors, the yield strength is not a fixed value, but presents a certain discreteness and uncertainty. The current pipeline reliability evaluation method mostly uses a single yield strength value, without considering its randomness, resulting in insufficient accuracy of the evaluation result. At the same time, the existing method does not fully consider the comprehensive influence of corrosion defect size, distribution and yield strength, resulting in a large deviation of the reliability evaluation result.

[0059] To solve the above problems, the present application provides a pipeline evaluation method based on the randomness of yield strength.

[0060] As shown in Figure 1 The present application provides a pipeline evaluation method based on the randomness of yield strength, which comprises S101-S104:

[0061] S101, establishing a limit state function of the pipeline.

[0062] In a possible implementation, the limit state function can be established through the correlation between the yield strength of the pipeline, the tensile strength of the pipeline, the diameter of the pipeline, the wall thickness of the pipeline, the maximum depth of the corrosion area of the pipeline, and the axial length of the corrosion area of the pipeline.

[0063] S102, collecting the parameters of the pipeline multiple times based on the Monte Carlo method.

[0064] It should be noted that the yield strength experimental data of different batches of pipe materials are collected, and the mean value and standard deviation of the normal distribution are fitted. After collecting the data, it is found that the yield strength of the pipeline satisfies the normal distribution N(455.65, 13.36 2 By the Monte Carlo method, data satisfying the normal distribution are randomly collected in each sampling process, so that the randomness of data collection can be ensured, and the reliability of the evaluation result can be ensured.

[0065] S103, determining the state of the pipeline corresponding to multiple collections based on the parameters and the limit state function.

[0066] The state of the pipeline is a safe state, a limit state or a non-safe state.

[0067] In a possible implementation, the multiple collected parameters are respectively input into the limit state function to obtain parameters of the state of the pipeline corresponding to each of the multiple collected parameters (such as a difference between the equivalent stress of the corrosion area of the pipeline and the yield strength of the pipeline).

[0068] In S104, the reliability of the pipeline is determined based on the state of the pipeline corresponding to the multiple collections.

[0069] It should be understood that the limit state function of the pipeline can output the state-related parameters of the pipeline and can reflect the state of the pipeline. The Monte Carlo method is a random sampling method, which can collect the parameters of the pipeline based on the normal distribution, can ensure the randomness of data collection, and can ensure the reliability of the state of the pipeline determined based on the multiple collected parameters of the pipeline, and ensures the reliability and accuracy of the pipeline evaluation.

[0070] In some embodiments, the pipeline parameters include at least one of the following: the yield strength of the pipeline, the tensile strength of the pipeline, the diameter of the pipeline, the wall thickness of the pipeline, the maximum depth of the corrosion area of the pipeline, and the axial length of the corrosion area of the pipeline.

[0071] In a possible implementation, the crack conditions of the entire pipeline can be obtained by using the magnetic flux leakage or ultrasonic technology, and the length, depth, width and circumferential position of the crack of the pipeline can be collected, that is, the data of the corrosion area of the pipeline can be obtained by using the magnetic flux leakage or ultrasonic technology.

[0072] In some embodiments, the state of the pipeline is a difference between the equivalent stress of the corrosion area and the yield strength of the pipeline output by the limit state function; when the difference is less than a difference threshold, the state of the pipeline is a non-safe state; when the difference is equal to the difference threshold, the state of the pipeline is a limit state; and when the difference is greater than the difference threshold, the state of the pipeline is a safe state.

[0073] The limit state function satisfies the following formula 1 and formula 2:

[0074] Formula 1;

[0075] Formula 2;

[0076] wherein, is a difference between the equivalent stress of the corrosion area and the yield strength of the pipeline, and the unit is MPa; is the yield strength of the pipe material, and the unit is MPa; is the tensile strength of the pipeline, and the unit is MPa; is the diameter of the pipeline, and the unit is mm; is the wall thickness of the pipeline, in mm; is the maximum depth of the corrosion zone, in mm; is the axial length of the corrosion zone, in mm.

[0077] In some embodiments, the reliability of the pipeline is determined based on the states of the pipeline collected at multiple times, including:

[0078] The failure probability of the pipeline collected at multiple times is determined based on the states of the pipeline collected at multiple times; the failure probability is used to indicate the probability of the pipeline being in an unsafe state;

[0079] The reliability of the pipeline is determined based on the failure probability of the pipeline and a probability threshold.

[0080] The failure probability of the pipeline collected at multiple times satisfies the following formula 3:

[0081] Formula 3;

[0082] wherein, is the number of times of collection, is the failure probability, represents the state of the pipeline collected at the i-th time.

[0083] In some embodiments, the parameters of the pipeline include parameters of the pipeline sampled at multiple times at the current time; the method further includes:

[0084] The maximum depth of the corrosion zone of the pipeline at multiple future times corresponding to each of the multiple samples is determined based on the parameters of the pipeline sampled at multiple times at the current time and the corrosion rate;

[0085] The maximum depth of the corrosion zone of the pipeline at one future time satisfies the following formula 4:

[0086] Formula 4;

[0087] wherein, is the corrosion defect depth at one future time, in mm; is the corrosion defect depth at the current time, in mm; is the time difference between one future time and the current time, in a (i.e., years); is the corrosion rate, in mm / a;

[0088] The states of the pipeline collected at multiple times are determined based on the parameters and the limit state function, including:

[0089] The states of the pipeline at multiple future times are determined based on the pipeline parameters and the maximum depths of the corrosion zone of the pipeline at multiple future times corresponding to each of the multiple samples.​

[0090] Based on the state of the pipeline corresponding to the plurality of acquisition times, the reliability of the pipeline is determined, comprising:

[0091] The state of the pipeline at the plurality of future times, the reliability of the pipeline within the preset time period is determined; the preset time period includes the current time and the plurality of future times.

[0092] In some embodiments, the corrosion rate is determined based on environmental factors of the pipeline, alternating current density of the pipeline;

[0093] The alternating current density of the pipeline is determined based on the following manner:

[0094] The alternating current density of the pipeline is determined based on the average value of the alternating current interference voltage effective value of the pipeline, the soil resistivity corresponding to the pipeline, and the damage point diameter of the pipeline.

[0095] The alternating current density of the pipeline is determined based on the average value of the alternating current interference voltage effective value of the pipeline, the soil resistivity corresponding to the pipeline, and the damage point diameter of the pipeline, satisfying the following formula 5:

[0096] Formula 5;

[0097] Wherein, is the alternating current density of the pipeline, and the unit is ; is the average value of the alternating current interference voltage effective value, and the unit is V; is the soil resistivity, and the unit is ; is the damage point diameter, and the unit is m.

[0098] In some embodiments, the damage point diameter of the pipeline is determined based on the following manner: the damage point diameter of the pipeline is determined based on the internal defect data of the pipeline; the internal defect data of the pipeline includes the defect length of the pipeline and the defect width of the pipeline.

[0099] The damage point diameter of the pipeline is determined based on the internal defect data of the pipeline, satisfying the following formula 6:

[0100] Formula 6;

[0101] Wherein, is the defect length, and the unit is mm; is the defect width, and the unit is mm; is the damage point diameter, and the unit is mm.

[0102] It should be noted that the damage point diameter obtained based on formula 6 can also be referred to as the equivalent diameter.

[0103] The embodiments of the present application can divide the functional modules of the pipeline evaluation device based on yield strength randomness according to the above method examples. For example, each functional module can be divided according to each function, or two or more functions can be integrated in one processing module. The above integrated module can be realized in the form of hardware or in the form of a software functional module. It should be noted that the division of the modules in the embodiments of the present application is illustrative, and is only a logical functional division. In actual implementation, another division manner can be used.

[0104] In the case of dividing each functional module according to each function, Figure 2 A possible structural schematic diagram of the pipeline evaluation device based on yield strength randomness involved in the above embodiments is shown. As shown in the figure, Figure 2 The pipeline evaluation device based on yield strength randomness can include a processing module 201, an acquisition module 202, and a determination module 203.

[0105] The processing module 201 is configured to establish a limit state function of the pipeline.

[0106] The acquisition module 202 is configured to collect parameters of the pipeline multiple times based on the Monte Carlo method.

[0107] The determination module 203 is configured to determine states of the pipelines corresponding to the multiple collections based on the parameters and the limit state function. The state of the pipeline is a safe state, a limit state, or a non-safe state.

[0108] The determination module 203 is further configured to determine the reliability of the pipeline based on the states of the pipelines corresponding to the multiple collections.

[0109] The above is only a specific implementation manner of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for pipeline evaluation based on yield strength scatter, characterized by, The method comprises: establishing a limit state function of a pipeline; based on a Monte Carlo method, collecting parameters of the pipeline multiple times; the parameters of the pipeline comprise at least one of the following: yield strength of the pipeline, tensile strength of the pipeline, diameter of the pipeline, wall thickness of the pipeline, maximum depth of a corrosion zone of the pipeline, axial length of the corrosion zone of the pipeline; based on the parameters and the limit state function, determining states of the pipeline corresponding to the multiple times of collection; the state of the pipeline is a safe state, a limit state or a non-safe state; based on the states of the pipeline corresponding to the multiple times of collection, determining a reliability of the pipeline; the state of the pipeline is a difference between an equivalent stress of a corrosion area and a yield strength of the pipeline, which is an output of the limit state function; when the difference is less than a difference threshold, the state of the pipeline is a non-safe state; when the difference is equal to the difference threshold, the state of the pipeline is a limit state; when the difference is greater than the difference threshold, the state of the pipeline is a safe state; the limit state function satisfies the following formula: ; ； wherein, is the difference between the equivalent stress of the corroded area and the yield strength of the pipe; is the yield strength of the pipe material; is the tensile strength of the pipe; is the diameter of the pipe; is the wall thickness of the pipe; is the maximum depth of the corrosion area; is the axial length of the corrosion area.

2. The method of claim 1, wherein, the determination of the reliability of the pipeline based on the states of the pipeline corresponding to the multiple times of collection comprises: based on the states of the pipeline corresponding to the multiple times of collection, determining failure probabilities of the pipeline corresponding to the multiple times of collection; the failure probability is used to indicate a probability that the pipeline is in a non-safe state; based on the failure probability of the pipeline and a probability threshold, determining the reliability of the pipeline; the failure probability of the pipeline corresponding to the multiple times of collection satisfies the following formula: ； wherein, is the number of collections, is the failure probability, represents the state of the pipeline corresponding to the collection.

3. The method of claim 1, wherein, the parameters of the pipeline comprise parameters of the pipeline corresponding to multiple samplings at a current time; the method further comprises: based on the parameters of the pipeline corresponding to the multiple samplings at the current time and a corrosion rate, determining maximum depths of corrosion zones of the pipeline at multiple future times corresponding to the multiple samplings respectively; the maximum depth of the corrosion zone of the pipeline at one of the future times satisfies the following formula: ； wherein, is the corrosion defect depth at the one future time; is the corrosion defect depth at the current time; is the time difference between the one future time and the current time; is the corrosion rate; the determination of the state of the pipeline based on the parameters and the limit state function comprises: based on the pipeline parameters and the maximum depths of the corrosion zones of the pipeline at the multiple future times corresponding to the multiple samplings respectively, determining states of the pipeline at the multiple future times; the determination of the reliability of the pipeline based on the states of the pipeline corresponding to the multiple times of collection comprises: the states of the pipeline at the multiple future times determine the reliability of the pipeline within a preset time period; the preset time period comprises the current time and the multiple future times.

4. The method of claim 3, wherein, the corrosion rate is determined based on an environmental factor of the pipeline and an alternating current density of the pipeline; the alternating current density of the pipeline is determined based on the following manner: based on an average value of an effective value of an alternating current interference voltage of the pipeline, a soil resistivity corresponding to the pipeline and a damaged point diameter of the pipeline, the alternating current density of the pipeline is determined; the determination of the alternating current density of the pipeline based on the average value of the effective value of the alternating current interference voltage of the pipeline, the soil resistivity corresponding to the pipeline and the damaged point diameter of the pipeline satisfies the following formula: ； wherein, is the AC current density of the pipeline; is the average of the AC interference voltage effective value; is the soil resistivity; is the break point diameter.

5. The method of claim 4, wherein, The break point diameter of the pipeline is determined based on the following manner: The break point diameter of the pipeline is determined based on internal defect data of the pipeline; the internal defect data of the pipeline comprises defect length of the pipeline and defect width of the pipeline; The break point diameter of the pipeline determined based on the internal defect data of the pipeline satisfies the following formula: ； wherein, is the defect length; is the defect width; is the break point diameter.

6. A pipe evaluation apparatus based on yield strength randomness, characterized by, The pipeline evaluation device based on yield strength randomness comprises: a processor; a memory configured to store executable instructions of the processor; wherein the processor is configured to execute the instructions to implement the method according to any one of claims 1-5.

7. A computer-readable storage medium having stored thereon instructions, the computer-readable storage medium comprising: When the instructions in the computer readable storage medium are executed by the pipeline evaluation device based on yield strength randomness, the pipeline evaluation device based on yield strength randomness can execute the method according to any one of claims 1-5.

8. A computer program product, characterised in that, The computer program product comprises computer program instructions, which, when executed by a processor, implement the method according to any one of claims 1-5.

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