Method and device for calculating time-varying failure probability of hydrogen delivery pipeline with corrosion defects

Abstract

The embodiment of the present disclosure discloses a method and device for calculating time-varying failure probability of hydrogen-containing pipeline with corrosion defects, comprising: based on reliability theory, using hydrogen-induced damage factor to construct pipeline limit state equation, the pipeline limit state equation includes pipeline leakage limit state equation and pipeline burst limit state equation; solving the pipeline limit state equation to obtain the failure probability corresponding to each defect in the pipeline; determining the target equivalent unit normal vector based on the linear limit state function of the pipeline; the linear limit state function is constructed based on the failure probability corresponding to each defect of the pipeline; determining the time-varying failure probability of the pipeline according to the target equivalent unit normal vector, the time-varying failure probability includes the leakage failure probability of the pipeline within a set time and the burst failure probability of the pipeline within a set time. The technical scheme realizes fast and efficient calculation of the time-varying failure probability of the hydrogen-containing natural gas pipeline with corrosion defects, which is of great significance to the safety of the pipeline.

Description

TECHNICAL FIELD

[0001] The embodiment of the present disclosure relates to the technical field of pipeline monitoring, in particular to a calculation method and device for time-varying failure probability of a hydrogen conveying pipeline containing corrosion defects. BACKGROUND

[0002] The failure probability of a pipeline containing corrosion defects has always been one of the indicators that are valued in the field of oil and gas pipeline safety maintenance. Precise calculation of the failure probability of a pipeline containing corrosion defects is of great significance for evaluating the safety state of the pipeline. With the transformation of global energy structure to low carbonization, mixed delivery of hydrogen energy and natural gas (hydrogen blending pipeline technology) has become a key path to improve the utilization rate of existing pipeline networks and reduce the cost of pure hydrogen delivery. However, the hydrogen blending environment poses unique challenges to pipeline materials, structural integrity and safety control. At the same time, pipelines are prone to corrosion under harsh service conditions, resulting in a large number of corrosion defects. Under the synergistic action of hydrogen and corrosion defects, the failure risk of the pipeline is greatly increased, which poses a great challenge to the safety of the pipeline.

[0003] Currently, in actual engineering, an internal detector is usually used to detect pipeline defects, and an internal detection report is provided during the detection process. Researchers calculate the failure probability of the pipeline through the internal detection report. However, the existing calculation method of the failure probability of the oil and gas pipeline is not applicable to the hydrogen conveying pipeline containing corrosion defects, and cannot quantitatively calculate the time-varying failure probability of the hydrogen blending pipeline system containing defects. In addition, in a long-distance pipeline system, there are usually a large number of corrosion defects. If the failure probability of each defect is calculated one by one, it will consume a lot of manpower and material resources. SUMMARY

[0004] The embodiment of the present disclosure provides a calculation method and device for time-varying failure probability of a hydrogen conveying pipeline containing corrosion defects, which realizes rapid and efficient calculation of the time-varying failure probability of a hydrogen blending natural gas pipeline containing corrosion defects.

[0005] In a first aspect, a calculation method for time-varying failure probability of a hydrogen conveying pipeline containing corrosion defects is provided, comprising:

[0006] Based on the reliability theory, a pipeline limit state equation is constructed by using a hydrogen-induced damage factor, the pipeline limit state equation includes a pipeline leakage limit state equation and a pipeline burst limit state equation; the hydrogen-induced damage factor is determined based on a stress-strain curve of the pipeline;

[0007] Solving the pipeline limit state equation, the failure probability corresponding to each defect in the pipeline is obtained;

[0008] determine a target equivalent unit normal vector based on the linear limit state function of the pipeline, the target equivalent unit normal vector comprising an equivalent unit normal vector related to a linear leakage equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function; the linear limit state function being constructed based on failure probabilities of respective defects of the pipeline;

[0009] determine a time-varying failure probability of the pipeline according to the target equivalent unit normal vector, the time-varying failure probability comprising a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within the set time.

[0010] In a second aspect, a device for calculating a time-varying failure probability of a hydrogen pipeline with corrosion defects is provided, comprising:

[0011] an equation construction module configured to construct a pipeline limit state equation based on a reliability theory and using a hydrogen-induced damage factor, the pipeline limit state equation comprising a pipeline leakage limit state equation and a pipeline burst limit state equation; the hydrogen-induced damage factor being determined based on a stress-strain curve of the pipeline;

[0012] a failure probability determination module configured to solve the pipeline limit state equation to obtain failure probabilities of respective defects of the pipeline;

[0013] a target equivalent unit normal vector determination module configured to determine a target equivalent unit normal vector based on the linear limit state function of the pipeline, the target equivalent unit normal vector comprising an equivalent unit normal vector related to a linear leakage equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function; the linear limit state function being constructed based on failure probabilities of respective defects of the pipeline;

[0014] a time-varying failure probability determination module configured to determine a time-varying failure probability of the pipeline according to the target equivalent unit normal vector, the time-varying failure probability comprising a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within the set time.

[0015] In a third aspect, an electronic device is provided, comprising:

[0016] at least one processor; and,

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the method for calculating a time-varying failure probability of a hydrogen pipeline with corrosion defects according to the first aspect.

[0019] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method for calculating the time-varying failure probability of the hydrogen transmission pipeline with corrosion defects according to the first aspect.

[0020] In a fifth aspect, a computer program product is provided, and the computer program product comprises a computer program, and the computer program is executed by a processor to implement the method for calculating the time-varying failure probability of the hydrogen transmission pipeline with corrosion defects according to the first aspect.

[0021] The method comprises the following steps: based on reliability theory, a pipeline limit state equation is constructed by using a hydrogen-induced damage factor, the pipeline limit state equation comprises a pipeline leakage limit state equation and a pipeline burst limit state equation; the hydrogen-induced damage factor is determined based on a stress-strain curve of the pipeline; the pipeline limit state equation is solved to obtain a failure probability corresponding to each defect in the pipeline; a target equivalent unit normal vector is determined based on a linear limit state function of the pipeline, the target equivalent unit normal vector comprises an equivalent unit normal vector related to a linear leakage equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function; the linear limit state function is constructed based on the failure probability corresponding to each defect of the pipeline; and a time-varying failure probability of the pipeline is determined according to the target equivalent unit normal vector, the time-varying failure probability comprises a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within the set time. The technical solution constructs the limit state equations of pipeline leakage and burst based on the hydrogen-induced damage factor, obtains the failure probability of each defect by solving, determines the target equivalent unit normal vector in combination with the linear limit state function, and finally calculates the time-varying leakage and burst failure probabilities of the pipeline within the set time by using the normal vector, so that the time-varying failure probability of the hydrogen transmission pipeline with corrosion defects is quickly and efficiently calculated, time and economic cost are saved, and the pipeline safety is important.

[0022] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present disclosure, nor is it used to limit the scope of the embodiments of the present disclosure. Other features of the embodiments of the present disclosure will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative labor.

[0024] Figure 1 is a flow chart of a method for calculating time-varying failure probability of a hydrogen pipeline with corrosion defects according to an embodiment of the present disclosure;

[0025] Figure 2 is a schematic diagram of a stress-strain test of a pipeline in a hydrogen-doped environment according to an embodiment of the present disclosure;

[0026] Figure 3 is a schematic diagram of a calculation result of burst failure probability according to an embodiment of the present disclosure;

[0027] Figure 4 is a schematic diagram of a calculation result of leakage failure probability according to an embodiment of the present disclosure;

[0028] Figure 5 is a structural schematic diagram of a device for calculating time-varying failure probability of a hydrogen pipeline with corrosion defects according to an embodiment of the present disclosure;

[0029] Figure 6 is a structural schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0030] In order to make the technical personnel in the art better understand the scheme of the embodiments of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, not all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative labor should fall within the scope of protection of the present disclosure.

[0031] It should be noted that the terms "first", "second", and the like in the specification and claims of the present disclosure and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the present disclosure described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment One

[0033] Figure 1A flowchart of a method for calculating a time-varying failure probability of a hydrogen pipeline with corrosion defects is provided for an embodiment of the present disclosure. The embodiment can be applicable to the case of calculating the time-varying failure probability of the hydrogen pipeline with corrosion defects. The method can be executed by a device for calculating the time-varying failure probability of the hydrogen pipeline with corrosion defects, which can be realized in the form of hardware and / or software. The device for calculating the time-varying failure probability of the hydrogen pipeline with corrosion defects can be configured in an electronic device, such as a computer, a terminal, a server, and other devices with data processing capabilities. Figure 1 As shown in FIG. 1, the method comprises the following steps.

[0034] In S110, a pipeline limit state equation is constructed based on a reliability theory and a hydrogen-induced damage factor. The pipeline limit state equation includes a pipeline leakage limit state equation and a pipeline burst limit state equation. The hydrogen-induced damage factor is determined based on a stress-strain curve of the pipeline.

[0035] In the embodiment, the reliability theory can be a theory for studying the probability and ability of a product or system to complete a specified function within a specified time and under specified conditions. Based on the reliability theory, the pipeline leakage limit state equation and the pipeline burst limit state equation can be constructed using the hydrogen-induced damage factor. The pipeline leakage limit state equation and the pipeline burst limit state equation are mathematical models for evaluating the failure risk of the pipeline under the influence of defects such as corrosion. The pipeline leakage limit state equation is generally used to evaluate the risk of small hole leakage of the pipeline caused by corrosion defects, and the pipeline burst limit state equation is used to evaluate the risk of burst of the pipeline caused by corrosion defects.

[0036] As described above, the hydrogen-induced damage factor is a quantitative index for describing the degree of damage to the material caused by the penetration, diffusion, and accumulation of hydrogen in a hydrogen environment. Hydrogen-induced damage is mainly due to the diffusion and accumulation of hydrogen atoms in the metal, which leads to a decrease in the mechanical properties of the pipeline material, and ultimately may cause cracks or brittle fracture. In the embodiment, the hydrogen-induced damage factor can be determined based on the stress-strain curve of the hydrogen-doped pipeline. The stress-strain curve can be a graph that describes the relationship between the internal stress and strain of the pipeline material when subjected to external force, which can be an important representation of the mechanical properties of the material, and can be used to determine the elastic modulus, yield strength, tensile strength, elongation, and other parameters of the material.

[0037] For example, the stress-strain curve can be represented as:

[0038]

[0039] wherein, represents the maximum tensile strength of the pipeline, may represent the stress of the pipe after the strain reduction k% due to hydrogen damage, where k% can be the percentage of the reduction of the plastic deformation capacity of the material due to hydrogen induced damage. In the equation, UEL can be represented as:

[0040]

[0041] wherein, may represent the yield strength of the pipe. When the value of k is determined according to experiments, may be determined by the following equation:

[0042]

[0043] wherein, may represent the stress of the pipe material, may represent the strain of the pipe material, may represent the elastic modulus of the pipe, may represent the yield strength of the pipe, and K can represent the strength coefficient of the pipe material, which can be represented as:

[0044]

[0045] wherein, n can represent the strain hardening index of the material. n can be specifically represented as:

[0046]

[0047] wherein, may represent the maximum tensile strength of the pipe, may represent the yield strength of the pipe.

[0048] Figure 2 A schematic diagram of stress-strain testing of a pipe in a hydrogen-doped environment is provided for the present embodiment, as shown in Figure 2 A universal tensile testing machine is used to test the stress-strain of the pipe in a hydrogen-doped environment, as shown in the figure. Exemplarily, a high-pressure gas-phase in-situ hydrogen charging slow strain rate tensile test or an electrochemical hydrogen charging method can be used to obtain the stress-strain curve of the pipe material in the elastic stage, plastic stage, and full process of fracture failure of the pipe material at different times in the hydrogen environment.

[0049] S120, solving the pipe limit state equation to obtain the failure probability corresponding to each defect in the pipe.

[0050] Specifically, after the pipe limit state equation is determined, the failure probability corresponding to each defect in the pipe can be obtained by solving the pipe limit state equation. Exemplarily, the first-order second-moment method can be used to solve the pipe leakage limit state equation and the pipe burst limit state equation to obtain each leakage failure probability and burst failure probability.

[0051] S130, determining a target equivalent unit normal vector based on the linear limit state function, the target equivalent unit normal vector comprising an equivalent unit normal vector related to the linear leakage equivalent limit state function and an equivalent unit normal vector related to the linear burst failure equivalent limit state function; the linear limit state function is constructed based on the failure probability of each defect of the pipeline.

[0052] It can be known that after obtaining the failure probability corresponding to each defect in the pipeline, the linear limit state function can be constructed based on the failure probability corresponding to each defect of the pipeline. The linear limit state function is a boundary condition for describing the transition of a structure or system from a safe state to a failure state under certain conditions. In this embodiment, the linear limit state function can be divided into a linear leakage equivalent limit state function and a linear burst failure equivalent limit state function, which are respectively used to evaluate the risk of pipeline leakage and burst caused by corrosion defects. The linear leakage equivalent limit state function is used to evaluate the risk of small hole leakage of the pipeline caused by corrosion defects; the linear burst failure equivalent limit state function is used to evaluate the risk of burst of the pipeline caused by corrosion defects.

[0053] According to the above description, after the linear limit state function is determined, the target equivalent unit normal vector can be determined based on the linear limit state function, the target equivalent unit normal vector comprising an equivalent unit normal vector related to the linear leakage equivalent limit state function and an equivalent unit normal vector related to the linear burst failure equivalent limit state function. The equivalent unit normal vector related to the linear leakage equivalent limit state function can be a unit vector pointing to the safe region on the leakage limit state boundary. It can be obtained by taking the gradient of the linear leakage equivalent limit state function and normalizing. The equivalent unit normal vector related to the linear burst failure equivalent limit state function is a unit vector pointing to the safe region on the burst limit state boundary. It can be obtained by taking the gradient of the burst failure equivalent limit state function and normalizing.

[0054] S140, determining the time-varying failure probability of the pipeline according to the target equivalent unit normal vector, the time-varying failure probability comprising a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within a set time.

[0055] It can be known that after the target equivalent unit normal vector is determined, the time-varying failure probability of the pipeline can be determined according to the target equivalent unit normal vector, the time-varying failure probability being the failure probability of the hydrogen-doped pipeline in the time-varying process, which can reflect the reliability state of the pipeline at different time points. Unlike the static failure probability, the time-varying failure probability considers the influence of time factor on the pipeline, and the time-varying failure probability comprises a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within a set time.

[0056] The embodiment provides a method for calculating time-varying failure probability of a hydrogen-containing pipeline with corrosion defects, comprising the following steps: based on reliability theory, a pipeline limit state equation is constructed by using a hydrogen-induced damage factor, the pipeline limit state equation comprises a pipeline leakage limit state equation and a pipeline burst limit state equation; the hydrogen-induced damage factor is determined based on a stress-strain curve of the pipeline; the pipeline limit state equation is solved to obtain failure probabilities corresponding to respective defects in the pipeline; a target equivalent unit normal vector is determined based on a linear limit state function of the pipeline, the target equivalent unit normal vector comprises an equivalent unit normal vector related to a linear leakage equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function; the linear limit state function is constructed based on the failure probabilities corresponding to respective defects in the pipeline; and a time-varying failure probability of the pipeline is determined according to the target equivalent unit normal vector, the time-varying failure probability comprises a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within the set time. The technical scheme realizes fast and efficient calculation of the time-varying failure probability of the hydrogen-containing natural gas pipeline with corrosion defects, saves time and economic cost, and has important significance for guaranteeing pipeline safety.

[0057] As an optional implementation manner of the embodiment, the step of solving the pipeline limit state equation to obtain the failure probabilities corresponding to respective defects in the pipeline comprises the following steps:

[0058] 1) obtaining pipeline size information according to an internal detection report.

[0059] In the embodiment, the internal detection report refers to information about internal defects and corrosion conditions of the pipeline obtained by pipeline internal detection technology (such as magnetic flux leakage detection, ultrasonic detection, etc.). The internal detection technology obtains information about the wall thickness and corrosion defects of the pipeline by a detector moving inside the pipeline. For example, the magnetic flux leakage detection detects defects in the pipeline wall by using magnetic field changes, and the ultrasonic detection evaluates the pipeline wall thickness by using ultrasonic reflection signals.

[0060] According to the above description, the pipeline size information can be obtained based on the internal detection report. The pipeline size information can be information related to the size of the pipeline. For example, the pipeline size information can include the diameter D, the wall thickness wt, the axial position of the corrosion defect, the radial position of the corrosion defect, the width w of the corrosion defect, and the working pressure p of the hydrogen-containing pipeline.

[0061] 2) solving the pipeline limit state equation by using the pipeline size information, pipeline defect size information and the hydrogen-induced damage factor to obtain the failure probabilities corresponding to respective defects in the pipeline; wherein the pipeline defect size information comprises a modified length and a modified depth of each defect.

[0062] Specifically, the pipeline defect size information can be the corrected specific size data of the internal or external defects of the pipeline obtained by various detection techniques, and the pipeline defect size information can include the corrected length and the corrected depth of each defect. The pipeline limit state equation can be solved by using the pipeline size information, the pipeline defect size information, and the hydrogen-induced damage factor to obtain the failure probability corresponding to each defect of the pipeline. It should be noted that the failure probability obtained here refers to the failure probability of the pipeline under a single defect, and cannot reflect the competition state of multiple defect failures, nor can it reflect the failure probability of the pipeline with multiple defects in a certain pipe section.

[0063] For example, the pipeline leakage limit state equation can be expressed as:

[0064]

[0065] wherein, The superscript l can represent leakage, The hydrogen-induced damage factor can be, The reduction coefficient can be 0.8. The wall thickness of the i-th pipeline can be, The wall thickness can be 19 mm, The maximum defect depth of the i-th pipeline at time t can be,

[0066]

[0067] wherein, The superscript b can represent burst, The operating working pressure of the i-th pipeline can be, The burst failure pressure of the i-th pipeline with defects at time t can be, The burst failure pressure of the i-th pipeline with defects at time t can be expressed as:

[0068]

[0069] wherein, The yield strength of the i-th pipeline can be, The diameter of the i-th hydrogen pipeline can be, The corrosion defect depth of the i-th hydrogen pipeline can be, The wall thickness of the i-th pipeline can be, The expansion coefficient of folias can be expressed as:

[0070]

[0071] wherein, The corrosion defect length of the ith hydrogen delivery pipeline can be represented.

[0072] According to the above description, the pipeline limit state equation links the structural response (such as stress, pressure) of the pipeline with the failure threshold (such as material strength, operating pressure) through a mathematical model, so as to quantify the influence of the defect on the safety of the pipeline. The pipeline limit state equation is established, that is: 、 When less than 0, it can be considered that the pipeline fails. The defect parameters (such as corrosion depth, length) are modeled as random variables with uncertainty and described by probability distribution. The pipeline size information, the pipeline defect size information and the hydrogen-induced damage factor are input as input data (such as diameter, wall thickness, correction length and correction depth, pipeline operating pressure, yield strength, maximum tensile strength, hydrogen-induced damage factor) into the pipeline limit state equation to solve the failure probability. The failure probability is the probability that the combination of these random variables leads to the establishment of the limit state equation, which can be calculated by a probability solving method (such as Monte Carlo simulation, first-order second-moment method). The defect size increases with time, which can cause the dynamic change of the failure probability. For a multi-defect system, the combined effect and correlation of all defects need to be considered to accurately calculate the system failure probability.

[0073] Optionally, the determination process of the pipeline defect size information comprises:

[0074] 1) obtaining the to-be-corrected pipeline defect size information according to the internal detection report; the to-be-corrected pipeline defect size information comprises to-be-corrected lengths and to-be-corrected depths of each defect.

[0075] It can be understood that the to-be-corrected pipeline defect size information can be obtained based on the internal detection report, and the to-be-corrected pipeline defect size information can be initial specific size data of the internal or external defects of the pipeline obtained by various detection technologies. The to-be-corrected pipeline defect size information comprises to-be-corrected lengths and to-be-corrected depths of each defect.

[0076] 2) determining the pipeline defect growth rate according to the historical pipeline defect size information.

[0077] Specifically, the historical pipeline defect size information can be obtained based on the internal detection report, and the pipeline defect growth rate can be determined according to the historical pipeline defect size information. The historical pipeline defect size information can comprise depths and lengths of defects. For example, the corrosion growth rate is determined by comparing the historical pipeline defect size information in adjacent internal detection reports (such as adjacent internal detection reports for half a year or a year) to calculate the ratio of the change amount of the defect size (such as depth, length) to the time interval.

[0078] 3) correcting the to-be-corrected pipeline defect size information based on the pipeline defect growth rate and a preset standard deviation value to obtain the pipeline defect size information.

[0079] It can be known that after the pipeline defect growth rate is determined, the pipeline defect size information to be corrected can be corrected based on the pipeline defect growth rate and a preset standard deviation value, to obtain the pipeline defect size information. The preset standard deviation value can be a preset error value, and the preset standard deviation value can be a detection error caused by the internal detection device. The existing method does not consider the error introduced by the internal detection device. Therefore, the preset standard deviation is introduced to correct the pipeline defect size information to be corrected.

[0080] Specifically, the annual growth amount of the pipeline can be determined by the pipeline defect growth rate, and the sum of the annual growth amount and the pipeline defect size information to be corrected is obtained, and the sum of the defect size information is corrected by using the preset standard deviation value, to obtain the pipeline defect size information.

[0081] Exemplary. The pipeline defect growth rate can be determined by using the historical pipeline defect size information provided in the internal detection report of the adjacent half year or one year. The annual growth amount can be determined based on the pipeline defect growth rate. The pipeline defect size information to be corrected can be represented as:

[0082]

[0083] Among them, The growth amount of the defect depth change of the i-th hydrogen pipeline per year can be represented as The growth amount of the defect length change of the i-th hydrogen pipeline per year can be represented as And respectively represent the initial defect depth and length, and t represents time (such as years). i can represent the i-th pipeline in the hydrogen pipeline, such as i=0, 1, 2, 3, …N. When the pipeline defect size information is to be corrected, the growth amounts in the first, second and third years can be obtained, and then the total growth amount of the pipeline defect in three years can be obtained by accumulating the growth amounts in the first, second and third years. Then the initial pipeline defect depth+three-year total growth amount can obtain the depth of the pipeline defect in the third year.

[0084] Specifically, the preset standard deviation value can be represented as And Among them, The depth measurement error of the corrosion defect can be The length measurement error of the corrosion defect can be. Usually it is assumed that And Follow the zero-mean normal probability distribution, And The standard deviations of and can be taken as 7.8% and 7.8 mm of the wall thickness value, respectively.

[0085] According to the above description, the pipeline defect size information can be represented as:

[0086]

[0087] wherein, may be the corrected depth, may be the corrected length. may be the defect depth corresponding to the current time obtained by calculating the growth rate, may be the defect length corresponding to the current time obtained by calculating the growth rate.

[0088] As an optional implementation of the embodiment, the linear limit state function comprises a linear leakage equivalent limit state function; the failure probability comprises: a leakage failure probability; the method for calculating the time-varying failure probability of the hydrogen conveying pipeline with corrosion defects provided by the embodiment further comprises:

[0089] 1) For each defect in the pipeline, determine the equivalent leakage reliability coefficient corresponding to the defect based on the leakage failure probability corresponding to the defect.

[0090] Specifically, after determining the leakage failure probability corresponding to each defect in the pipeline, the leakage failure probability corresponding to each defect can be inverted to determine the equivalent leakage reliability coefficient corresponding to each defect. For example, the leakage failure probability corresponding to the defect can be represented as , and the equivalent leakage reliability coefficient can be represented as wherein, is the inverse function of the standard normal distribution cumulative distribution function.

[0091] 2) Based on the equivalent leakage reliability coefficient corresponding to each defect of the pipeline, the pipeline size information, and the pipeline defect size information, the linear leakage equivalent limit state function is constructed.

[0092] Specifically, after determining the equivalent leakage reliability coefficient corresponding to each defect, the linear leakage equivalent limit state function can be constructed based on the equivalent leakage reliability coefficient corresponding to each defect, the pipeline size information, and the pipeline defect size information.

[0093] For example, the linear leakage equivalent limit state function can be:

[0094]

[0095] wherein, u represents an n-dimensional vector in the standard normal space converted from X, and X can be a data set composed of the pipeline size information and the pipeline defect size information. may be the equivalent leakage reliability coefficient corresponding to each defect, may be an equivalent unit normal vector related to the linear leakage equivalent limit state function.

[0096] As an optional implementation of the embodiment, the linear limit state function comprises a linear burst failure equivalent limit state function; the failure probability comprises: a burst failure probability; the method for calculating the time-varying failure probability of the hydrogen conveying pipeline with corrosion defects provided by the embodiment further comprises:

[0097] 1) For each defect in the pipeline, an equivalent burst reliability coefficient corresponding to the defect is determined based on the burst failure probability corresponding to the defect.

[0098] Specifically, after the burst failure probability corresponding to each defect in the pipeline is determined, the burst failure probability corresponding to each defect can be inverted to determine the equivalent burst reliability coefficient corresponding to each defect. For example, the leakage failure probability corresponding to the defect can be represented as , and the equivalent leakage reliability coefficient can be represented as , wherein is the inverse function of the standard normal distribution cumulative distribution function.

[0099] 2) The linear burst failure equivalent limit state function is constructed based on the equivalent burst reliability coefficient corresponding to each defect in the pipeline, the pipeline size information, and the pipeline defect size information.

[0100] Specifically, after the equivalent burst reliability coefficient corresponding to each defect is determined, the linear burst failure equivalent limit state function can be constructed based on the equivalent burst reliability coefficient corresponding to each defect, the pipeline size information, and the pipeline defect size information.

[0101] For example, the linear leakage equivalent limit state function can be represented as:

[0102]

[0103] wherein u represents an n-dimensional vector in the standard normal space converted from X, and X can be a data set composed of pipeline size information and pipeline defect size information. may be an equivalent leakage reliability coefficient corresponding to each defect, may be an equivalent unit normal vector related to the linear burst failure equivalent limit state function.

[0104] It should be explained that and represent an equivalent unit normal vector related to the linear leakage and burst failure equivalent limit state function at time t, and are specifically represented as:

[0105]

[0106] wherein the superscript k = 1, b represents the leak and burst state of the pipeline, respectively.

[0107] As an optional implementation of the present embodiment, the determining the time-varying failure probability of the pipeline according to the target equivalent unit normal vector comprises:

[0108] 1) determining a target correlation coefficient based on the target equivalent unit normal vector.

[0109] In the present embodiment, the target equivalent unit normal vector can comprise an equivalent unit normal vector related to a linear leak equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function. The target correlation coefficient can be a correlation coefficient of the linear leak equivalent limit state function and the linear burst failure equivalent limit state function. The target correlation coefficient can be determined by the equivalent unit normal vector related to the linear leak equivalent limit state function and the equivalent unit normal vector related to the linear burst failure equivalent limit state function. For example, the target correlation coefficient can be determined by the product of the equivalent unit normal vector related to the linear leak equivalent limit state function and the equivalent unit normal vector related to the linear burst failure equivalent limit state function. The target correlation coefficient can be expressed as:

[0110]

[0111] wherein, may be the target correlation coefficient, may be the equivalent unit normal vector related to the linear leak equivalent limit state function, may be the equivalent unit normal vector related to the linear burst failure equivalent limit state function.

[0112] It should be noted that the correlation coefficient of the linear leak equivalent limit state function and the linear burst failure equivalent limit state function can be understood as: the pipeline leak failure and burst failure are in a competitive relationship, and the relationship can be expressed as:

[0113]

[0114]

[0115] wherein, represents the time when the jth defect penetrates the pipe wall, represents the time when the jth defect bursts, represents the intersection, may represent the leak failure probability of the hydrogen pipeline, may represent the burst failure probability of the hydrogen pipeline, [ ] represents the calculation probability.

[0116] 2) Determine the leakage increment within a set time period based on the target correlation coefficient and the equivalent leakage reliability coefficient; determine the leakage failure probability of the pipeline within the set time period based on the initial leakage failure probability and the leakage increment.

[0117] Specifically, once the target correlation coefficient is determined, the leakage increment within a set time period can be determined based on the target correlation coefficient and the equivalent leakage reliability coefficient. The leakage increment within the set time period can be expressed as:

[0118]

[0119] in, A probability density function is defined to represent the bivariate normal distribution. It could be the target correlation coefficient. It can represent the equivalent leakage reliability coefficient at the current node. This can represent the equivalent burst reliability coefficient at the current node. It can be set at a time. The equivalent leakage reliability coefficient within. It can represent variables.

[0120] Following the above description, once the leakage increment is determined, the leakage failure probability of the pipeline within a set time period can be determined based on the initial leakage failure probability and the leakage increment. The leakage failure probability of the pipeline within the set time period can be expressed as:

[0121]

[0122] in, Indicates the current time point. It can be in time arrive The increase in leakage probability is relatively slow, while corrosion growth is a relatively slow process, with a set time. Generally, a range of six months to one year is acceptable. It could be the initial leakage failure probability.

[0123] 3) Determine the burst increment within a set time period based on the target correlation coefficient and the equivalent burst reliability coefficient; determine the burst failure probability of the pipeline within the set time period based on the initial burst failure probability and the burst increment.

[0124] Specifically, once the target correlation coefficient is determined, the burst increment within a set time period can be determined based on the target correlation coefficient and the equivalent burst reliability coefficient. The burst increment within the set time period can be expressed as:

[0125]

[0126] in, A probability density function is defined to represent the bivariate normal distribution. It could be the target correlation coefficient. It can represent the equivalent leakage reliability coefficient at the current node. This can represent the equivalent burst reliability coefficient at the current node. It can be set at a time. The equivalent burst reliability coefficient within. It can represent variables.

[0127] Following the above description, once the burst increment is determined, the burst failure probability of the pipeline within the set time period can be determined based on the initial burst failure probability and the burst increment. The burst failure probability of the pipeline within the set time period can be expressed as:

[0128]

[0129] in, Indicates the current time point. It can be in time arrive The increase in the probability of leakage, It could be the initial burst failure probability.

[0130] It should be noted that the method for calculating the time-varying failure probability of a hydrogen pipeline with corrosion defects provided in this embodiment utilizes a combination of MATLAB and VBA programming to calculate the failure probability of a defective X100 hydrogen-blended pipeline. Here, the defective X100 hydrogen-blended pipeline refers to an X100 high-strength steel pipeline transporting hydrogen-blended natural gas, and the pipeline exhibits defects such as corrosion and cracks. The parameters of the defective X100 hydrogen-blended pipeline are shown in Table 1.

[0131] Table 1 X100 Pipeline Parameters

[0132]

[0133] The initial defect sizes of pipeline corrosion are shown in Table 2:

[0134] Table 2 Corrosion Defect Size Parameters

[0135]

[0136] Figure 3 This is a schematic diagram illustrating the calculation results of the burst failure probability provided in this embodiment, as shown below. Figure 3 As shown, taking 6 defects as an example, different colors correspond to different defects. Here, xE-Y can be understood as a tiny value, representing 0.000…x composed of y zeros. Figure 31E-y in the ordinate can represent 0.00...01 composed of y zeros. For example, 1E-4 is 0.0001, and 1E-5 is 0.00001. The various burst failure probabilities are calculated by the technical solutions provided in this embodiment, Figure 3 It is shown that the burst failure probabilities of various defects in the pipeline increase over time. Table 3 shows the burst failure probabilities of the defects containing corrosion defects over time. Similarly, in order to make the data in the table more concise, part of the data in Table 3, for example, the failure probability of defect 3 in the first year is 5.60978E-09, which can represent the failure probability of defect 3 as 0.00000000560978, and the failure probability of defect 1 in the second year is 1.22438E-06, which can represent 0.00000122428.

[0137] Table 3 Burst failure probability of hydrogen-doped pipeline containing corrosion defects

[0138]

[0139] Figure 4 A leakage failure probability calculation result diagram provided in this embodiment is shown in FIG. 6, Figure 4 where xE-Y can be understood as a small value, representing 0.000...x composed of y zeros. Figure 4 1E-y in the ordinate can represent 0.00...01 composed of y zeros. For example, 1E-6 is 0.000001, and 1E-8 is 0.00000001. Taking six defects as an example, different colors correspond to different defects.

[0140] The various leakage failure probabilities are calculated by the technical solutions provided in this embodiment, Figure 4 It is shown that the burst failure probabilities of various defects in the pipeline increase over time. Table 3 shows the burst failure probabilities of the defects containing corrosion defects over time. Similarly, in order to make the data in the table more concise, part of the data in Table 3, for example, the failure probability of defect 3 in the first year is 5.60978E-09, which can represent the failure probability of defect 3 as 0.00000000560978, and the failure probability of defect 1 in the second year is 1.22438E-06, which can represent 0.00000122428.

[0141] Table 4 Leakage failure probability of hydrogen-doped pipeline containing corrosion defects

[0142]

[0143] Similarly, in order to make the data in the table more concise, part of the data in Table 4, for example, the failure probability of defect 1 in the first year is 9.71709E-08, which can represent the failure probability of defect 1 as 0.0000000971709, and the failure probability of defect 1 in the second year is 4.03209E-05, which can represent 0.0000403209.

[0144] Through Figure 4 and Figure 5From Table 3 and Table 4, it can be seen that the failure probability value of the hydrogen-doped pipeline within two years is within the acceptance range, and it is recommended to excavate and repair after two years.

[0145] The calculation of the failure probability of the technical solution is based on internal detection data, which can be combined with internal detection data without complex conversion process, and can greatly improve the failure probability calculation efficiency. Compared with the traditional method, the error of the internal detector is considered, so the settlement result of the failure probability is closer to the actual pipeline failure probability in production; at the same time, the technical solution considers the synergistic effect of hydrogen-induced damage and defects of the pipeline body, and can calculate the failure probability of the hydrogen-doped natural gas pipeline, and provide guidance for the safe operation of the hydrogen-doped pipeline; further, the technical solution also considers the leakage and burst failure modes of the pipeline, and can calculate the time-varying failure probability of the pipeline system containing a large number of corrosion defects in batches. Using the method can improve the calculation efficiency, save time and economic cost, and has important significance for ensuring the safety of the pipeline.

[0146] Embodiment Two

[0147] Figure 5 is a structural schematic diagram of a device for calculating time-varying failure probability of a hydrogen-containing pipeline with corrosion defects provided by Embodiment Two of the present disclosure; as Figure 5 shown, the device comprises an equation construction module 210, a failure probability determination module 220, a target equivalent unit normal vector determination module 230, and a time-varying failure probability determination module 240.

[0148] The equation construction module 210 is configured to construct a pipeline limit state equation based on reliability theory and using a hydrogen-induced damage factor, wherein the pipeline limit state equation comprises a pipeline leakage limit state equation and a pipeline burst limit state equation; the hydrogen-induced damage factor is determined based on a stress-strain curve of the pipeline.

[0149] The failure probability determination module 220 is configured to solve the pipeline limit state equation to obtain failure probabilities corresponding to each defect in the pipeline.

[0150] The target equivalent unit normal vector determination module 230 is configured to determine a target equivalent unit normal vector based on a linear limit state function of the pipeline, wherein the target equivalent unit normal vector comprises an equivalent unit normal vector related to a linear leakage equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function; the linear limit state function is constructed based on the failure probabilities corresponding to each defect of the pipeline.

[0151] The time-varying failure probability determination module 240 is configured to determine a time-varying failure probability of the pipeline according to the target equivalent unit normal vector, wherein the time-varying failure probability comprises a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within the set time.

[0152] The second embodiment of the present disclosure provides a device for calculating time-varying failure probability of a hydrogen conveying pipeline with corrosion defects, which realizes automatic control of the wiper, avoids errors caused by adjusting the wiper position through rain detection, reduces the maintenance cost of the automobile, adjusts the wiping level according to the user demand, and improves the user experience.

[0153] Further, the failure probability determination module 220 is also used for:

[0154] acquiring pipeline size information according to the internal detection report;

[0155] solving the pipeline limit state equation by using the pipeline size information, pipeline defect size information and the hydrogen-induced damage factor to obtain failure probabilities corresponding to each defect of the pipeline; wherein the pipeline defect size information includes a modified length and a modified depth of each defect.

[0156] Further, the linear limit state function includes a linear leakage equivalent limit state function; the failure probability includes a leakage failure probability; and the device further includes:

[0157] an equivalent leakage reliability coefficient determination module, configured to determine, for each defect in the pipeline, an equivalent leakage reliability coefficient corresponding to the defect based on the leakage failure probability corresponding to the defect;

[0158] a linear leakage equivalent limit state function construction module, configured to construct the linear leakage equivalent limit state function based on the equivalent leakage reliability coefficients corresponding to each defect of the pipeline, the pipeline size information and the pipeline defect size information.

[0159] Further, the linear limit state function includes a linear burst failure equivalent limit state function; the failure probability includes a burst failure probability; and the device further includes:

[0160] an equivalent burst reliability coefficient determination module, configured to determine, for each defect in the pipeline, an equivalent burst reliability coefficient corresponding to the defect based on the burst failure probability corresponding to the defect;

[0161] a linear burst failure equivalent limit state function construction module, configured to construct the linear burst failure equivalent limit state function based on the equivalent burst reliability coefficients corresponding to each defect in the pipeline, the pipeline size information and the pipeline defect size information.

[0162] Further, the time-varying failure probability determination module 240 is also used for:

[0163] determining a target correlation coefficient based on the target equivalent unit normal vector;

[0164] determine a leakage increment in the set time according to the target correlation coefficient and the equivalent leakage reliability coefficient;

[0165] determine a leakage failure probability of the pipeline in the set time based on the initial leakage failure probability and the leakage increment;

[0166] determine a burst increment in the set time according to the target correlation coefficient and the equivalent burst reliability coefficient;

[0167] determine a burst failure probability of the pipeline in the set time based on the initial burst failure probability and the burst increment.

[0168] Further, the determination process of the pipeline defect size information comprises:

[0169] obtain pipeline defect size information to be corrected according to an internal detection report; the pipeline defect size information to be corrected comprises a length to be corrected and a depth to be corrected of each defect;

[0170] determine a pipeline defect growth rate according to historical pipeline defect size information;

[0171] correct the pipeline defect size information to be corrected based on the pipeline defect growth rate and a preset standard deviation value, to obtain the pipeline defect size information.

[0172] The device for calculating time-varying failure probability of a hydrogen pipeline with corrosion defects provided in the embodiments of the present disclosure can execute the method for calculating time-varying failure probability of a hydrogen pipeline with corrosion defects provided in any of the embodiments of the present disclosure, and has the corresponding function modules and beneficial effects of executing the method.

[0173] Embodiment three

[0174] Figure 6 A structural schematic diagram of an electronic device 10 that can be used to implement the embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit implementations of the embodiments of the present disclosure described and / or claimed in this document.

[0175] As Figure 6As shown, the electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., communicatively connected to the at least one processor 11, where the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0176] Various components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc., an output unit 17, such as various types of displays, a speaker, etc., a storage unit 18, such as a magnetic disk, an optical disk, etc., and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0177] The processor 11 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microprocessor, etc. The processor 11 performs various methods and processes described above, such as the method for calculating time-varying failure probability of a hydrogen transmission pipeline with corrosion defects.

[0178] In some embodiments, the method for calculating time-varying failure probability of a hydrogen transmission pipeline with corrosion defects can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for calculating time-varying failure probability of a hydrogen transmission pipeline with corrosion defects described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the method for calculating time-varying failure probability of a hydrogen transmission pipeline with corrosion defects by any other appropriate means, such as by means of firmware.

[0179] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system on a chip systems (SOCs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0180] Computer programs used to implement embodiments of the present disclosure can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program, when executed, can cause instructions described in flow charts and / or block diagrams to be implemented on the computer. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package and partially on a remote machine, or entirely on a remote machine or server.

[0181] In the context of the present embodiments, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0182] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0183] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), blockchain network, and the Internet.

[0184] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0185] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the embodiments of the present disclosure can be executed in parallel, in series, or in a different order, as long as the desired results of the technical solutions of the embodiments of the present disclosure can be achieved, and the present disclosure is not limited herein.

[0186] The specific implementation described above does not constitute a limitation on the protection scope of the embodiments of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the embodiments of the present disclosure should be included in the protection scope of the embodiments of the present disclosure.

[0187] The embodiments of the present disclosure also provide a computer program product, comprising a computer program and / or instructions, which, when executed by a processor, implement the method for calculating time-varying failure probability of a hydrogen conveying pipeline with corrosion defects as provided by any of the embodiments of the present disclosure.

[0188] The computer program product, in the implementation, can be written in one or more programming languages or combinations thereof to implement computer program codes for performing the operations of the embodiments of the present disclosure, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" language or similar programming languages. The program codes can be executed entirely on a user computer, partially on a user computer, as an independent software package, partially on a user computer and partially on a remote computer, or entirely on a remote computer or server. In the case involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, through the Internet by using an Internet service provider).

[0189] Note that the above are only preferred embodiments of the embodiments of the present disclosure and the technical principles applied. Those skilled in the art will understand that the embodiments of the present disclosure are not limited to the specific embodiments herein, and those skilled in the art can make various obvious changes, readjustments, and substitutions without departing from the protection scope of the embodiments of the present disclosure. Therefore, although the embodiments of the present disclosure have been described in more detail through the above embodiments, the embodiments of the present disclosure are not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the embodiments of the present disclosure, and the scope of the embodiments of the present disclosure is determined by the scope of the appended claims.

Claims

1. A method for calculating time-varying failure probability of a hydrogen pipeline containing corrosion defects, characterized in that, The method comprises: Based on the reliability theory, the hydrogen-induced damage factor is used to construct a pipeline limit state equation, the pipeline limit state equation comprises a pipeline leakage limit state equation and a pipeline burst limit state equation; the hydrogen-induced damage factor is determined based on the stress-strain curve of the pipeline; the pipeline limit state equation is a mathematical model for evaluating the failure risk of the pipeline under the influence of defects; Solving the pipeline limit state equation, the failure probability corresponding to each defect in the pipeline is obtained; Based on the linear limit state function of the pipeline, a target equivalent unit normal vector is determined, the target equivalent unit normal vector comprises an equivalent unit normal vector related to a linear leakage equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function; the linear limit state function is constructed based on the failure probability corresponding to each defect of the pipeline; the linear limit state function is a boundary condition for describing the pipeline from a safe state to a failure state under certain conditions; According to the target equivalent unit normal vector, the time-varying failure probability of the pipeline is determined, the time-varying failure probability comprises the leakage failure probability of the pipeline within a set time and the burst failure probability of the pipeline within a set time; The solving of the pipeline limit state equation to obtain the failure probability corresponding to each defect in the pipeline comprises: Obtaining pipeline size information according to an internal detection report; Solving the pipeline limit state equation by using the pipeline size information, pipeline defect size information and the hydrogen-induced damage factor to obtain the failure probability corresponding to each defect in the pipeline; wherein the pipeline defect size information comprises the modified length and the modified depth of each defect; The linear limit state function comprises a linear leakage equivalent limit state function; the failure probability comprises a leakage failure probability; The method further comprises: For each defect in the pipeline, the equivalent leakage reliability coefficient corresponding to the defect is determined based on the leakage failure probability corresponding to the defect; Based on the equivalent leakage reliability coefficient corresponding to each defect of the pipeline, the pipeline size information and the pipeline defect size information, the linear leakage equivalent limit state function is constructed.

2. The method of claim 1, wherein, The linear limit state function comprises a linear burst failure equivalent limit state function; The failure probability comprises a burst failure probability; The method further comprises: For each defect in the pipeline, the equivalent burst reliability coefficient corresponding to the defect is determined based on the burst failure probability corresponding to the defect; Based on the equivalent burst reliability coefficient corresponding to each defect in the pipeline, the pipeline size information and the pipeline defect size information, the linear burst failure equivalent limit state function is constructed.

3. The method of claim 2, wherein, The determination of the time-varying failure probability of the pipeline according to the target equivalent unit normal vector comprises: Based on the target equivalent unit normal vector, a target correlation coefficient is determined; According to the target correlation coefficient and the equivalent leakage reliability coefficient, a leakage increment within a set time is determined; Based on the initial leakage failure probability and the leakage increment, the leakage failure probability of the pipeline within the set time is determined; According to the target correlation coefficient and the equivalent burst reliability coefficient, a burst increment within a set time is determined; determine a burst failure probability of the pipeline within the set time based on the initial burst failure probability and the burst increment.

4. The method of claim 1, wherein, The determination process of the pipeline defect size information comprises: obtain pipeline defect size information to be corrected from an internal detection report; the pipeline defect size information to be corrected comprises a to-be-corrected length and a to-be-corrected depth of each defect; determine a pipeline defect growth rate based on historical pipeline defect size information; correct the pipeline defect size information to be corrected based on the pipeline defect growth rate and a preset standard deviation value, to obtain the pipeline defect size information.

5. An apparatus for calculating time-varying failure probability of a hydrogen pipeline containing corrosion defects, characterized by, comprise: an equation construction module, configured to construct a pipeline limit state equation based on reliability theory and using a hydrogen-induced damage factor, the pipeline limit state equation comprising a pipeline leakage limit state equation and a pipeline burst limit state equation; the hydrogen-induced damage factor is determined based on a stress-strain curve of the pipeline; the pipeline limit state equation is a mathematical model for evaluating failure risk of the pipeline under the influence of defects; a failure probability determination module, configured to solve the pipeline limit state equation to obtain a failure probability corresponding to each defect in the pipeline; a target equivalent unit normal vector determination module, configured to determine a target equivalent unit normal vector based on a linear limit state function of the pipeline, the target equivalent unit normal vector comprising an equivalent unit normal vector related to a linear leakage equivalent limit state function and an equivalent unit normal vector related to a linear burst failure equivalent limit state function; the linear limit state function is constructed based on the failure probability corresponding to each defect of the pipeline; the linear limit state function is a boundary condition for describing a transition of the pipeline from a safe state to a failure state under specific conditions; a time-varying failure probability determination module, configured to determine a time-varying failure probability of the pipeline according to the target equivalent unit normal vector, the time-varying failure probability comprising a leakage failure probability of the pipeline within a set time and a burst failure probability of the pipeline within the set time; the failure probability determination module is further configured to: obtain pipeline size information from an internal detection report; solve the pipeline limit state equation using the pipeline size information, pipeline defect size information and the hydrogen-induced damage factor to obtain the failure probability corresponding to each defect of the pipeline; wherein the pipeline defect size information comprises a corrected length and a corrected depth of each defect; the linear limit state function comprises a linear leakage equivalent limit state function; the failure probability comprises a leakage failure probability; the device further comprises: an equivalent leakage reliability coefficient determination module, configured to determine, for each defect in the pipeline, an equivalent leakage reliability coefficient corresponding to the defect based on the leakage failure probability corresponding to the defect; a linear leakage equivalent limit state function construction module, configured to construct the linear leakage equivalent limit state function based on the equivalent leakage reliability coefficient corresponding to each defect of the pipeline, the pipeline size information and the pipeline defect size information.

6. An electronic device, comprising: comprise: at least one processor; and a memory connected in communication with the at least one processor; wherein The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the method for calculating time-varying failure probability of a hydrogen pipeline with corrosion defects according to any one of claims 1-4.

7. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the method for calculating time-varying failure probability of a hydrogen pipeline with corrosion defects according to any one of claims 1-4.

8. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program, when executed by a processor, implements the method for calculating time-varying failure probability of a hydrogen pipeline with corrosion defects according to any one of claims 1-4.

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