Pipeline defect evaluation method, device, electronic equipment, system and chip

Abstract

The invention provides a pipeline defect evaluation method and device, electronic equipment, a system and a chip. The method comprises the following steps: acquiring a first basic parameter of a pipeline and first internal detection data of the pipeline; obtaining a first failure stress and a safety circumferential stress; judging whether the first failure stress is greater than the safety circumferential stress, and if not, generating a first defect report; if yes, the corrosion rate of the pipeline is obtained; judging whether the corrosion rate is greater than a preset rate; if yes, generating a second defect evaluation report; if not, obtaining the remaining deadline of the pipeline; based on the first failure stress and the remaining period, obtaining an evaluation index of the pipeline; judging whether the evaluation index is greater than a preset index; if not, generating a qualified report; if yes, a third defect evaluation report is generated. According to the method, influence factors can be fully considered, the risk degree of the pipeline corrosion defect is comprehensively evaluated, and the accuracy of pipeline corrosion defect evaluation is improved.

Description

Technical Field

[0001] This application relates to the technical fields of pipeline inspection and data processing, and in particular to pipeline defect assessment methods, devices, electronic equipment, systems and chips. Background Technology

[0002] Pipeline transportation is commonly used to transport resources such as oil and natural gas, offering advantages such as low cost, high efficiency, and safety. With societal development, the number of pipelines laid is increasing. Buried pipelines, due to their environmental conditions, are susceptible to corrosion. If corrosion worsens, the pipeline's pressure-bearing capacity decreases, potentially leading to leaks or ruptures. Accurate assessment of pipeline corrosion defects ensures the safety and reliability of pipelines during operation, reduces accidents, extends pipeline lifespan, optimizes maintenance plans, and protects environmental safety. It is also a crucial aspect of pipeline integrity management.

[0003] In the existing technology, many relevant standards for the assessment of pipelines with corrosion defects have been proposed both domestically and internationally. Traditional methods only assess corrosion defects from one direction. Therefore, how to conduct multi-dimensional assessment of pipeline defects has become an urgent problem to be solved.

[0004] Patent CN113935204A discloses a method for evaluating pipeline corrosion defects, including the following steps: obtaining pipeline parameters and defect parameters; obtaining the allowable stress [σ] of the pipeline; establishing a finite element model based on the obtained pipeline and defect parameters; simulating the corrosion defect using the established finite element model to obtain the maximum stress σmax at the corrosion defect; establishing a pipeline corrosion defect evaluation equation A=[σ] / σmax to obtain the pipeline's safe state, where when A=[σ] / σmax>1, the pipeline is considered to be in a safe state; when A=[σ] / σmax≤1, the pipeline is considered to be in a failure state. This method only calculates and evaluates based on the defect coefficient, resulting in limitations; it is complex to operate and has high computational and time costs.

[0005] Based on this, this application provides a pipeline defect assessment method, apparatus, electronic equipment, system, and chip to improve the prior art. Summary of the Invention

[0006] The purpose of this application is to provide a pipeline defect assessment method, device, electronic equipment, system, and chip that can fully consider influencing factors, comprehensively assess the risk level of pipeline corrosion defects, and improve the accuracy of pipeline corrosion defect assessment.

[0007] The objective of this application is achieved through the following technical solution:

[0008] In a first aspect, this application provides a pipeline defect assessment method, the method comprising:

[0009] Obtain the first basic parameters of the pipeline and the first internal inspection data of the pipeline;

[0010] Based on the first basic parameters and the first internal detection data, the first failure stress and the safety circumferential stress are obtained;

[0011] Determine whether the first failure stress is greater than the safe circumferential stress. If it is not greater, generate a first defect report; if it is greater, obtain the corrosion rate of the pipeline.

[0012] Determine whether the corrosion rate is greater than a preset rate; if it is, generate a second defect assessment report; if it is not, obtain the remaining lifespan of the pipeline.

[0013] Based on the first failure stress and the remaining life, the evaluation index of the pipeline is obtained;

[0014] Determine whether the evaluation index is greater than a preset index; if it is not greater, generate a qualified report; if it is greater, generate a third defect evaluation report.

[0015] The beneficial effects of this technical solution are as follows: By acquiring actual internal inspection data and basic parameters of the pipeline, the failure stress can be calculated more accurately, thereby quantifying potential pipeline defects and ensuring pipeline safety during operation. When determining whether the failure stress exceeds the safe circumferential stress, potential defects can be detected in a timely manner. For pipelines that do not meet safety standards, defect reports can be generated promptly, preventing accidents. For judging the pipeline corrosion rate, different thresholds can be set according to actual conditions. For pipelines with corrosion rates exceeding preset rates, more in-depth evaluation and treatment can be carried out. By calculating the remaining service life of the pipeline, a scientific basis can be provided for pipeline maintenance and replacement, and the operation and maintenance cycle of the pipeline can be rationally planned. The calculation of defect coefficients and evaluation indices can quantify the degree of pipeline defects, making the evaluation results more objective and standardized. Based on the comparison between the evaluation index and the preset index, different levels of evaluation reports can be generated, including qualified reports and defect evaluation reports, facilitating management and decision-making. Through scientific data analysis and evaluation, it helps to improve the safety management level of pipelines, reduce accident risks, ensure the safe and reliable transportation of energy, fully consider influencing factors, comprehensively evaluate the risk level of pipeline corrosion defects, and improve the accuracy of pipeline corrosion defect evaluation.

[0016] In some alternative implementations, obtaining the safety circumferential stress includes:

[0017] Based on the first basic parameters and the first internal detection data, the circumferential stress and safety factor under maximum pressure are calculated.

[0018] The safe circumferential stress is obtained by multiplying the circumferential stress by the safety factor.

[0019] The beneficial effects of this technical solution are as follows: by obtaining the circumferential stress under maximum pressure, it ensures that the pipeline can withstand the maximum operating pressure during design, and allows for the assessment of the pipeline's safety margin under extreme conditions. Based on the circumferential stress under maximum pressure and the safety factor, the safe circumferential stress is calculated, providing data support for subsequent operational decisions.

[0020] In some alternative implementations, obtaining the corrosion rate of the pipeline includes:

[0021] Based on the first failure stress, the first corrosion depth is obtained;

[0022] After a preset time period, the second basic parameters of the pipeline and the second internal detection data of the pipeline are obtained.

[0023] The second corrosion depth is calculated based on the second basic parameters and the second internal detection data;

[0024] The corrosion rate is obtained based on the preset duration, the first corrosion depth, and the second corrosion depth.

[0025] The beneficial effects of this technical solution are as follows: By obtaining the first failure stress and the first corrosion depth, the corrosion status of the pipeline under specific conditions can be monitored in real time. By calculating the second corrosion depth, the dynamic changes in pipeline corrosion can be assessed after a preset time period, and the corrosion development trend can be understood. Combining the preset time period, the first corrosion depth, and the second corrosion depth, the corrosion rate of the pipeline can be accurately calculated, providing an important basis for pipeline maintenance. By monitoring the corrosion rate, the possible rupture time of the pipeline can be predicted, allowing for early repair or replacement and preventing accidents. By monitoring the corrosion depth and corrosion rate, unnecessary comprehensive inspections and over-maintenance can be avoided, reducing maintenance costs. By regularly monitoring and evaluating the corrosion status of the pipeline, the safe operation of the pipeline can be ensured, reducing safety accidents caused by corrosion. It helps to monitor the corrosion status of the pipeline in real time, dynamically assess pipeline health, accurately obtain the corrosion rate, optimize maintenance strategies, and reduce maintenance costs.

[0026] In some optional implementations, obtaining the first corrosion depth based on the first failure stress includes:

[0027] Based on the first failure stress, the first failure pressure and the first safe pressure are calculated.

[0028] The first corrosion depth is calculated based on the first failure pressure and the first safety pressure.

[0029] The beneficial effects of this technical solution are as follows: by calculating the first failure pressure and the first safe pressure, the pressure-bearing capacity of the pipeline can be quantified, and the calculated corrosion depth can more accurately reflect the impact of corrosion on the pipeline integrity.

[0030] In some alternative implementations, the remaining duration of the acquisition pipeline includes:

[0031] Based on the second internal detection data, the second corrosion depth, and the corrosion rate, the remaining life of the pipeline is calculated.

[0032] The beneficial effects of this technical solution are as follows: Based on the second internal inspection data, the second corrosion depth, and the corrosion rate, the remaining lifespan of the pipeline after the second inspection can be calculated. By calculating the remaining lifespan of the pipeline, important predictive information can be provided for pipeline operation and maintenance, helping to formulate reasonable pipeline management plans. Understanding the remaining lifespan of the pipeline can help operators optimize maintenance strategies, such as determining the optimal time for replacement or repair, thereby improving maintenance efficiency.

[0033] In some optional implementations, obtaining the pipeline's evaluation index based on the first failure stress and the remaining lifespan further includes:

[0034] Set the influence coefficients for the remaining lifespan and the first failure stress, wherein the influence coefficient for the remaining lifespan is greater than the influence coefficient for the first failure stress;

[0035] The evaluation index is obtained based on the first failure stress, the remaining life, the influence coefficient of the remaining life, and the influence coefficient of the first failure stress.

[0036] The beneficial effects of this technical solution are as follows: By setting the influence coefficient of the remaining lifespan to be greater than that of the first failure stress, the importance of the remaining lifespan factor in the assessment process can be clearly defined, ensuring that the assessment results better meet practical application needs. Introducing the concept of an influence coefficient helps to quantify the first failure stress and the remaining lifespan, thereby improving the accuracy of the assessment index. Obtaining the assessment index can better guide pipeline maintenance and management, providing strong support for developing pipeline repair and replacement strategies. By rationally assessing the remaining lifespan of pipelines, the allocation of pipeline resources can be optimized, extending the service life of pipelines.

[0037] Secondly, this application provides a pipeline defect assessment device, the device including a processor configured to perform the following steps:

[0038] The data acquisition module is used to acquire the first basic parameters of the pipeline and the first internal inspection data of the pipeline;

[0039] The force value acquisition module is used to acquire the first failure stress and the safety circumferential stress based on the first basic parameters and the first internal detection data;

[0040] The force value judgment module is used to determine whether the first failure stress is greater than the safe circumferential stress. If it is not greater, a first defect report is generated; if it is greater, the corrosion rate of the pipeline is obtained.

[0041] The rate determination module is used to determine whether the corrosion rate is greater than a preset rate; if it is greater, a second defect assessment report is generated; if it is not greater, the remaining life of the pipeline is obtained.

[0042] The evaluation index acquisition module is used to acquire the evaluation index of the pipeline based on the first failure stress and the remaining life.

[0043] The index judgment module is used to determine whether the evaluation index is greater than a preset index; if it is not greater, a qualified report is generated; if it is greater, a third defect evaluation report is generated.

[0044] In some alternative implementations, the processor is also configured to acquire the safety circumferential stress in the following manner:

[0045] Based on the first basic parameters and the first internal detection data, the circumferential stress and safety factor under maximum pressure are calculated.

[0046] The safe circumferential stress is obtained by multiplying the circumferential stress by the safety factor.

[0047] In some alternative implementations, the processor is also configured to obtain the corrosion rate of the pipeline in the following manner:

[0048] Based on the first failure stress, the first corrosion depth is obtained;

[0049] After a preset time period, the second basic parameters of the pipeline and the second internal detection data of the pipeline are obtained.

[0050] The second corrosion depth is calculated based on the second basic parameters and the second internal detection data;

[0051] The corrosion rate is obtained based on the preset duration, the first corrosion depth, and the second corrosion depth.

[0052] In some alternative implementations, the processor is further configured to obtain the first corrosion depth based on the first failure stress in the following manner:

[0053] Based on the first failure stress, the first failure pressure and the first safe pressure are calculated.

[0054] The first corrosion depth is calculated based on the first failure pressure and the first safety pressure.

[0055] In some alternative implementations, the processor is also configured to obtain the remaining duration of the pipeline in the following manner:

[0056] Based on the second internal detection data, the second corrosion depth, and the corrosion rate, the remaining life of the pipeline is calculated.

[0057] In some alternative implementations, the processor is further configured to obtain the pipeline's evaluation index based on the first failure stress and the remaining lifespan in the following manner:

[0058] Set the influence coefficients for the remaining lifespan and the first failure stress, wherein the influence coefficient for the remaining lifespan is greater than the influence coefficient for the first failure stress;

[0059] The evaluation index is obtained based on the first failure stress, the remaining life, the influence coefficient of the remaining life, and the influence coefficient of the first failure stress.

[0060] Thirdly, this application provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of any of the above methods.

[0061] Fourthly, this application provides a defect assessment system, the system comprising:

[0062] The aforementioned electronic devices.

[0063] Fifthly, this application provides a chip that stores a computer program, which, when executed by a processor, implements the steps of any of the above methods. Attached Figure Description

[0064] The present application will be further described below with reference to the accompanying drawings and embodiments.

[0065] Figure 1 A schematic flowchart of a pipeline defect assessment method provided in an embodiment of this application is shown.

[0066] Figure 2 A schematic diagram of a process for obtaining corrosion rate provided in an embodiment of this application is shown.

[0067] Figure 3 A structural block diagram of a pipeline defect assessment device provided in an embodiment of this application is shown.

[0068] Figure 4 A structural framework diagram of an electronic device provided in an embodiment of this application is shown.

[0069] Figure 5 A schematic diagram of the structure of a defect assessment system provided in an embodiment of this application is shown.

[0070] Figure 6 A schematic diagram of the structure of a program product provided in an embodiment of this application is shown. Detailed Implementation

[0071] The embodiments of this application will be further described below with reference to the accompanying drawings and specific implementation methods. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new implementation methods.

[0072] In the embodiments of this application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, a and b, a and c, b and c, a and b and c, where a, b, and c can be single or multiple. It is worth noting that "at least one" can also be interpreted as "one or more".

[0073] It should also be noted that, in the embodiments of this application, the words "exemplary" or "for example" are used to indicate that they are examples, illustrations, or descriptions. Any implementation or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other implementations or design schemes. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0074] Method Implementation Examples

[0075] See Figure 1 , Figure 1 A schematic flowchart of a pipeline defect assessment method provided in an embodiment of this application is shown.

[0076] This application provides a pipeline defect assessment method, the method comprising:

[0077] Step S101: Obtain the first basic parameters of the pipeline and the first internal inspection data of the pipeline;

[0078] Step S102: Based on the first basic parameters and the first internal detection data, obtain the first failure stress and the safety circumferential stress;

[0079] Step S103: Determine whether the first failure stress is greater than the safe circumferential stress. If it is not greater, generate a first defect report; if it is greater, obtain the corrosion rate of the pipeline.

[0080] Step S104: Determine whether the corrosion rate is greater than a preset rate; if it is greater, generate a second defect assessment report; if it is not greater, obtain the remaining lifespan of the pipeline.

[0081] Step S105: Based on the first failure stress and the remaining life, obtain the evaluation index of the pipeline;

[0082] Step S106: Determine whether the evaluation index is greater than the preset index; if it is not greater, generate a qualified report; if it is greater, generate a third defect evaluation report.

[0083] Therefore, by acquiring actual internal inspection data and basic parameters of the pipeline, the failure stress can be calculated more accurately, enabling quantitative analysis of potential pipeline defects and ensuring pipeline safety during operation. When determining whether the failure stress exceeds the safe circumferential stress, potential defects can be detected promptly. For pipelines that do not meet safety standards, defect reports can be generated in a timely manner, preventing accidents. Regarding the assessment of pipeline corrosion rates, different thresholds can be set according to actual conditions. For pipelines with corrosion rates exceeding preset rates, more in-depth evaluation and treatment can be carried out.

[0084] Calculating the remaining lifespan of pipelines provides a scientific basis for maintenance and replacement, enabling the rational planning of pipeline operation and maintenance cycles. Calculating defect coefficients and assessment indices quantifies the degree of pipeline defects, making assessment results more objective and standardized. By comparing the assessment indices with preset indices, different levels of assessment reports can be generated, including pass reports and defect assessment reports, facilitating management and decision-making.

[0085] Scientific data analysis and evaluation can help improve the safety management level of pipelines, reduce accident risks, and ensure the safety and reliability of energy transportation. It can fully consider influencing factors, comprehensively assess the risk level of pipeline corrosion defects, and improve the accuracy of pipeline corrosion defect assessment.

[0086] The embodiments of this application do not limit the first basic parameter, which may be, for example, the date of first use, pipe diameter, wall thickness, maximum permissible operating pressure, etc.

[0087] The embodiments of this application do not limit the first internal detection data, which may include, for example, detection mileage, defect location, defect length, defect width, defect depth, circumferential weld location, etc.

[0088] In the embodiments of this application, the first failure stress refers to the force at which the material will fail. The failure stress of the material, after appropriate correction considering various influencing factors, is equal to the allowable stress multiplied by the safety factor.

[0089] The embodiments of this application do not limit the first to third defect assessment reports, which may, for example, transmit the defect content and countermeasures to the operators through text, symbols, colors, numbers, letters or voice.

[0090] In the embodiments of this application, the first corrosion depth is the corrosion depth when the operating pressure of the corroded pipeline reaches the failure pressure value. This application does not limit the value of the first corrosion depth, which may be, for example, 0.2mm, 0.8mm, 1mm, 1.4mm, 2mm, 3mm, 5mm, 10mm, etc.

[0091] In some alternative embodiments, the method for obtaining and determining the first failure stress can be, for example, based on the ASME B31G standard. First, the first failure stress S is calculated:

[0092] S = S flow {[1-0.85(d / t)] / [1-0.85(d / t) / M]}

[0093] In the formula, t is the pipe wall thickness (mm); D is the pipe diameter (mm); d is the maximum corrosion depth of the defect (mm); M is the Folis coefficient; SF is the failure stress of the defective pipe (MPa); Sflow is the rheological stress (Sflow = 1.1SMYS), and SMYS is the minimum yield strength (MPa).

[0094] When z ≤ 50, M = (1 + 0.6275z - 0.003375z) 2 ) 1 / 2 When z > 50, M = 0.032z + 3.3, where z = L 2 / D,L represents the axial length of the corroded region, in mm.

[0095] SF is the safety factor, and S0 is the circumferential stress under maximum operating pressure. Compare S and SF*S0 to determine if the first failure stress is greater than the safe circumferential stress (SF*S0). If not, generate the first defect report; if greater, obtain the corrosion rate of the pipeline.

[0096] In some alternative implementations, obtaining the safety circumferential stress includes:

[0097] Based on the first basic parameters and the first internal detection data, the circumferential stress and safety factor under maximum pressure are calculated.

[0098] The safe circumferential stress is obtained by multiplying the circumferential stress by the safety factor.

[0099] Therefore, by obtaining the circumferential stress under maximum pressure, ensuring that the pipeline can withstand the maximum operating pressure during design, the safety margin of the pipeline under extreme conditions can be assessed. Based on the circumferential stress under maximum pressure and the safety factor, the safe circumferential stress is calculated, providing data support for subsequent operational decisions.

[0100] See Figure 2 , Figure 2 A schematic diagram of a process for obtaining corrosion rate provided in an embodiment of this application is shown.

[0101] In some alternative implementations, obtaining the corrosion rate of the pipeline includes:

[0102] Step S201: Based on the first failure stress, obtain the first corrosion depth;

[0103] Step S202: After a preset time, acquire the second basic parameters of the pipeline and the second internal detection data of the pipeline;

[0104] Step S203: Calculate the second corrosion depth based on the second basic parameters and the second internal detection data;

[0105] Step S204: Obtain the corrosion rate based on the preset duration, the first corrosion depth, and the second corrosion depth.

[0106] Therefore, by obtaining the first failure stress and the first corrosion depth, the corrosion of the pipeline under specific conditions can be monitored in real time. By calculating the second corrosion depth, the dynamic changes of pipeline corrosion can be evaluated after a preset time, and the corrosion development trend can be understood. By combining the preset time, the first corrosion depth and the second corrosion depth, the corrosion rate of the pipeline can be accurately calculated, providing an important basis for pipeline maintenance.

[0107] Monitoring corrosion rates allows for the prediction of potential pipeline rupture times, enabling timely repairs or replacements and preventing accidents. Monitoring corrosion depth and rate avoids unnecessary comprehensive inspections and over-maintenance, reducing maintenance costs. Regular monitoring and assessment of pipeline corrosion ensures safe operation and reduces safety incidents caused by corrosion.

[0108] It helps to monitor pipeline corrosion in real time, dynamically assess pipeline health, accurately obtain corrosion rates, optimize maintenance strategies, and reduce maintenance costs.

[0109] In some alternative implementations, the corrosion rate can be obtained by calculating the first failure pressure, P, based on the failure stress. F =S F 2t / D, calculate the first safe pressure based on the first failure stress: P S =P F / SF, the pipeline's withstandable operating pressure is Ps. Substituting Ps into the ASME B31G calculation formula, we get:

[0110] d max =Mt{[P S D-2tS flow ] / [0.85(P S D-2tMS flow )]}

[0111] In the formula, Ps is set as the maximum allowable operating pressure MAOP, and dmax is the maximum allowable corrosion depth of the pipeline, in mm.

[0112] The corrosion rate v = (d2 - d1) / (T2 - T1), where d2 represents the maximum corrosion depth (mm) of the defect detected in this inspection, d1 represents the maximum corrosion depth (mm) of the defect detected in the previous inspection, T2 represents the date of this inspection (a), and T1 represents the date of the previous inspection (a). If there is no previous inspection, the pipeline usage time is used instead, and v represents the corrosion rate (mm / a).

[0113] In some optional implementations, obtaining the first corrosion depth based on the first failure stress includes:

[0114] Based on the first failure stress, the first failure pressure and the first safe pressure are calculated.

[0115] The first corrosion depth is calculated based on the first failure pressure and the first safety pressure.

[0116] Therefore, by calculating the first failure pressure and the first safe pressure, the pressure-bearing capacity of the pipeline can be quantified, and the calculated corrosion depth can more accurately reflect the impact of corrosion on the pipeline integrity.

[0117] In some alternative implementations, the remaining duration of the acquisition pipeline includes:

[0118] Based on the second internal detection data, the second corrosion depth, and the corrosion rate, the remaining life of the pipeline is calculated.

[0119] Therefore, based on the second internal inspection data, the second corrosion depth, and the corrosion rate, the remaining lifespan of the pipeline after the second inspection is calculated. By calculating the remaining lifespan of the pipeline, important predictive information can be provided for the operation and maintenance of the pipeline, helping to formulate a reasonable pipeline management plan.

[0120] Knowing the remaining lifespan of a pipeline can help operators optimize maintenance strategies, such as determining the best time to replace or repair it, thereby improving maintenance efficiency.

[0121] The embodiments of this application do not limit the second basic parameter, which may be, for example, the date of first use, pipe diameter, wall thickness, maximum permissible operating pressure, etc.

[0122] The embodiments of this application do not limit the second internal detection data, which may include, for example, detection mileage, defect location, defect length, defect width, defect depth, circumferential weld location, etc.

[0123] In some alternative methods, the remaining service life can be obtained using the remaining service life calculation method for corrosion defects: T = (d max -d) / v, where T is the remaining life of the pipeline.

[0124] In some optional implementations, obtaining the pipeline's evaluation index based on the first failure stress and the remaining lifespan further includes:

[0125] Set the influence coefficients for the remaining lifespan and the first failure stress, wherein the influence coefficient for the remaining lifespan is greater than the influence coefficient for the first failure stress;

[0126] The evaluation index is obtained based on the first failure stress, the remaining life, the influence coefficient of the remaining life, and the influence coefficient of the first failure stress.

[0127] Therefore, by setting the influence coefficient of the remaining term to be greater than that of the first failure stress, the importance of the remaining term factor in the evaluation process can be clearly defined, ensuring that the evaluation results are more in line with the actual application requirements.

[0128] Introducing the concept of an influence coefficient helps quantify the first failure stress and remaining lifespan, thereby improving the accuracy of the assessment index. Obtaining the assessment index can better guide pipeline maintenance and management, providing strong support for developing pipeline repair and replacement strategies.

[0129] By properly assessing the remaining lifespan of pipelines, the allocation of pipeline resources can be optimized and the service life of pipelines can be extended.

[0130] In some optional embodiments, the influence coefficient of the remaining life can be set to 0.7, and the influence coefficient of the first failure stress can be set to 0.3. Then, the reciprocal of the remaining life and the reciprocal of the first failure stress are calculated. The reciprocal of the remaining life is multiplied by its influence coefficient, and the reciprocal of the first failure stress is multiplied by its influence coefficient. The two results are then added together to obtain the evaluation index.

[0131] In one specific embodiment, the first basic parameters and internal test data of the pipeline are first obtained. According to the provisions of standards such as GB6151, ASME B31G, and DNV F101, the failure stress of the failed pipeline is calculated, and an evaluation is performed based on the failure stress and the ERF curve.

[0132] (1) Taking ASME B31G standard as an example, first calculate the first failure stress S:

[0133] S = S flow The formula {[1-0.85(d / t)] / (1-0.85(d / t) / M]} represents the pipe wall thickness, D the pipe diameter, d the maximum corrosion depth of the defect, M the Folis coefficient, and S the first failure stress of the defective pipe. flow For rheological stress, S flow =1.1SMYS, where SMYS is the minimum yield strength.

[0134] When z ≤ 50, M = (1 + 0.6275z - 0.003375z) 2 ) 1 / 2 When z > 50, M = 0.032z + 3.3, where z = L 2 / D,L represents the axial length of the corroded region.

[0135] SF is the safety factor, and S0 is the circumferential stress at the maximum operating pressure. Compare S and SF*S0 to determine if the first failure stress is greater than the safe circumferential stress. If not, a first defect report is generated. The first defect report indicates that the pipeline defect is unacceptable. Then, the safe operating pressure of the pipeline is calculated, and the pipeline needs to be repaired or replaced, or the operating pressure of the pipeline needs to be reduced to below the safe operating pressure.

[0136] If the value is greater than the first failure stress, the corrosion rate of the pipeline is obtained. The steps for obtaining the corrosion rate can be as follows: based on the first failure stress, obtain the first corrosion depth; after a preset time t, obtain the second basic parameters and the second internal detection data of the pipeline; based on the second basic parameters and the second internal detection data, calculate the second corrosion depth; based on the preset time t, the first corrosion depth, and the second corrosion depth, obtain the corrosion rate; firstly, calculate the maximum allowable corrosion depth. The corrosion depth at which the operating pressure of the corroded pipeline reaches the failure pressure is the maximum allowable corrosion depth (i.e., the first corrosion depth and the second corrosion depth). The first failure pressure, P, is calculated based on the first failure stress. F =S F 2t / D Calculate the first safe pressure based on the failure stress: P S =P F / SF, the second calculation method is the same. The pipeline's withstand operating pressure is Ps. Substituting Ps into the calculation formula of the ASME B31G standard, we get:

[0137] d max =Mt{[P S D-2tS flow ] / [0.85(P S D-2tMS flow )]}

[0138] In the formula, Ps is set as the maximum allowable operating pressure MAOP, dmax is the maximum allowable corrosion depth of the pipeline (i.e., the first corrosion depth and the second corrosion depth), and the corrosion rate v = (d2-d1) / (T2-T1). In this formula, d2 represents the maximum corrosion depth (mm) of the defect detected this time, d1 represents the maximum corrosion depth (mm) of the defect detected in the previous inspection, T2 represents the date of this inspection (a), T1 represents the date of the previous inspection (a), and T2-T1 = t. If there is no previous inspection, the pipeline usage time is used instead, and v represents the corrosion rate (mm / a).

[0139] Determine if the corrosion rate exceeds a preset rate; if it does, generate a second defect assessment report; if not, obtain the remaining service life of the pipeline. The steps to obtain the remaining service life of the pipeline can be: based on the second internal inspection data, the second corrosion depth, and the corrosion rate, calculate the remaining service life of the pipeline. The calculation method for the remaining service life of the corrosion defect is: T = (d... max -d) / v, where T is the remaining lifespan of the defect.

[0140] The calculation formula for the evaluation index based on the first failure stress and remaining life is as follows:

[0141]

[0142] In the formula, N is the number of defects, and P is the reciprocal of the first failure stress. Q is the reciprocal of the remaining term.

[0143] (5) Since the remaining lifespan reflects the corrosion status of defects more directly than the failure stress in corrosion defect assessment, the remaining lifespan is chosen as the primary characteristic, i.e., Q. norm As the main feature, P norm This is a secondary feature. P norm Q norm Multiply by the corresponding weights w1 and w2 respectively, and then add them together to get R.

[0144] R = w1 * P norm +w2*Q norm

[0145] Ensuring that the evaluation index R remains within the range of [0,1] under the influence of the feature weights helps to more accurately assess the safety and risk level of the pipeline.

[0146] A detailed explanation of the corrosion defect assessment results can help pipeline operators or managers better understand the characteristics and coping strategies of different levels of risk, thereby enabling them to deal with risks more effectively.

[0147] Device Examples

[0148] See Figure 3 , Figure 3 A structural block diagram of a pipeline defect assessment device provided in an embodiment of this application is shown.

[0149] This application also provides a pipeline defect assessment device, the specific implementation of which is consistent with the implementation method and the technical effect achieved in the above method embodiments, and some contents will not be repeated.

[0150] This application provides a pipeline defect assessment device, the device including a processor configured to perform the following steps:

[0151] Data acquisition module 101 is used to acquire the first basic parameters of the pipeline and the first internal detection data of the pipeline;

[0152] The force value acquisition module 102 is used to acquire the first failure stress and the safety circumferential stress based on the first basic parameters and the first internal detection data;

[0153] The force value judgment module 103 is used to determine whether the first failure stress is greater than the safe circumferential stress. If it is not greater, a first defect report is generated; if it is greater, the corrosion rate of the pipeline is obtained.

[0154] The rate judgment module 104 is used to determine whether the corrosion rate is greater than a preset rate; if it is greater, a second defect assessment report is generated; if it is not greater, the remaining life of the pipeline is obtained.

[0155] The evaluation index acquisition module 105 is used to acquire the evaluation index of the pipeline based on the first failure stress and the remaining life.

[0156] The index judgment module 106 is used to determine whether the evaluation index is greater than a preset index; if it is not greater, a qualified report is generated; if it is greater, a third defect evaluation report is generated.

[0157] In some alternative implementations, the processor is also configured to acquire the safety circumferential stress in the following manner:

[0158] Based on the first basic parameters and the first internal detection data, the circumferential stress and safety factor under maximum pressure are calculated.

[0159] The safe circumferential stress is obtained by multiplying the circumferential stress by the safety factor.

[0160] In some alternative implementations, the processor is also configured to obtain the corrosion rate of the pipeline in the following manner:

[0161] Based on the first failure stress, the first corrosion depth is obtained;

[0162] After a preset time period, the second basic parameters of the pipeline and the second internal detection data of the pipeline are obtained.

[0163] The second corrosion depth is calculated based on the second basic parameters and the second internal detection data;

[0164] The corrosion rate is obtained based on the preset duration, the first corrosion depth, and the second corrosion depth.

[0165] In some alternative implementations, the processor is further configured to obtain the first corrosion depth based on the first failure stress in the following manner:

[0166] Based on the first failure stress, the first failure pressure and the first safe pressure are calculated.

[0167] The first corrosion depth is calculated based on the first failure pressure and the first safety pressure.

[0168] In some alternative implementations, the processor is also configured to obtain the remaining duration of the pipeline in the following manner:

[0169] Based on the second internal detection data, the second corrosion depth, and the corrosion rate, the remaining life of the pipeline is calculated.

[0170] In some alternative implementations, the processor is further configured to obtain an evaluation index for the pipeline based on the first failure stress and the remaining lifespan, including:

[0171] Set the influence coefficients for the remaining lifespan and the first failure stress, wherein the influence coefficient for the remaining lifespan is greater than the influence coefficient for the first failure stress;

[0172] The evaluation index is obtained based on the first failure stress, the remaining life, the influence coefficient of the remaining life, and the influence coefficient of the first failure stress.

[0173] Equipment Examples

[0174] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of any of the above methods. The specific implementation method and the technical effects achieved are the same as those described in the above method embodiments, and some contents will not be repeated.

[0175] See Figure 4 , Figure 4 A structural framework diagram of an electronic device provided in an embodiment of this application is shown.

[0176] The electronic device includes at least one memory 210, at least one processor 220, and a bus 230 connecting different platform systems.

[0177] The memory 210 may include a readable medium in the form of volatile memory, such as random access memory (RAM) 211 and / or cache memory 212, and may further include read-only memory (ROM) 213.

[0178] The memory 210 also stores a computer program, which can be executed by the processor 220 to enable the processor 220 to implement the steps of any of the above methods.

[0179] The memory 210 may also include a utility 214 having at least one program module 215, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0180] Accordingly, processor 220 can execute the aforementioned computer program, and can also execute utility 214.

[0181] The processor 220 may employ one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.

[0182] Bus 230 can be one or more of several types of bus structures, including a memory bus or memory controller, peripheral bus, graphics acceleration port, processor, or a local bus using any bus structure with multiple bus structures.

[0183] The electronic device can also communicate with one or more external devices 240, such as a keyboard, pointing device, Bluetooth device, etc., and with one or more devices capable of interacting with the electronic device, and / or with any device that enables the electronic device to communicate with one or more other computing devices (e.g., a router, modem, etc.). This communication can be performed through input / output interface 250. Furthermore, the electronic device can communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 260. Network adapter 260 can communicate with other modules of the electronic device via bus 230. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0184] System Implementation Examples

[0185] See Figure 5 , Figure 5 A schematic diagram of the structure of a defect assessment system provided in an embodiment of this application is shown.

[0186] This application also provides a defect assessment system, the system comprising:

[0187] The aforementioned electronic devices.

[0188] Medium Examples

[0189] This application also provides a chip that stores a computer program. When the computer program is executed by a processor, it implements the steps of any of the above methods. The specific implementation method and the technical effects achieved are the same as those described in the above method embodiments, and some details will not be repeated.

[0190] See Figure 6 , Figure 6 A schematic diagram of the structure of a program product provided in an embodiment of this application is shown.

[0191] The program product is used to implement any of the methods described above. The program product may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In embodiments of this application, the readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device. The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0192] The chip may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium capable of sending, propagating, or transmitting a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, or any suitable combination thereof. The program code for performing the operations of this invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C, Python, or similar programming languages. The program code may be executed entirely on a user computing device, partially on a user device, as a standalone software package, partially on a user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing devices can be connected to user computing devices via any type of network, including local area networks (LANs) or wide area networks (WANs), or they can be connected to external computing devices (e.g., via the Internet using an Internet service provider).

[0193] This application describes the invention from the perspectives of purpose, performance, progress, and novelty, and it meets the functional enhancement and use requirements emphasized by the Patent Law. The above description and drawings are merely preferred embodiments of this application and are not intended to limit this application. Therefore, all structures, devices, features, etc., that are similar to or identical to those of this application, i.e., all equivalent substitutions or modifications made in accordance with the scope of this patent application, shall fall within the scope of protection of this patent application.

Claims

1. A method for assessing pipeline defects, characterized in that, The method includes: Obtain the first basic parameters of the pipeline and the first internal inspection data of the pipeline; Based on the first basic parameters and the first internal detection data, the first failure stress and the safety circumferential stress are obtained; Determine whether the first failure stress is greater than the safe circumferential stress. If it is not greater, generate a first defect report; if it is greater, obtain the corrosion rate of the pipeline. Determine whether the corrosion rate is greater than a preset rate; if it is, generate a second defect assessment report; if it is not, obtain the remaining lifespan of the pipeline. Based on the first failure stress and the remaining life, the evaluation index of the pipeline is obtained; Determine whether the evaluation index is greater than a preset index; if it is not greater, generate a qualified report; if it is greater, generate a third defect evaluation report.

2. The pipeline defect assessment method according to claim 1, characterized in that, To obtain the safety circumferential stress, including: Based on the first basic parameters and the first internal detection data, the circumferential stress and safety factor under maximum pressure are calculated. The safe circumferential stress is obtained by multiplying the circumferential stress by the safety factor.

3. The pipeline defect assessment method according to claim 1, characterized in that, The method of obtaining the corrosion rate of the pipeline includes: Based on the first failure stress, the first corrosion depth is obtained; After a preset time period, the second basic parameters of the pipeline and the second internal detection data of the pipeline are obtained. The second corrosion depth is calculated based on the second basic parameters and the second internal detection data; The corrosion rate is obtained based on the preset duration, the first corrosion depth, and the second corrosion depth.

4. The pipeline defect assessment method according to claim 3, characterized in that, The step of obtaining the first corrosion depth based on the first failure stress includes: Based on the first failure stress, the first failure pressure and the first safe pressure are calculated. The first corrosion depth is calculated based on the first failure pressure and the first safety pressure.

5. The pipeline defect assessment method according to claim 3, characterized in that, The remaining duration of the acquisition pipeline includes: Based on the second internal detection data, the second corrosion depth, and the corrosion rate, the remaining life of the pipeline is calculated.

6. The pipeline defect assessment method according to claim 1, characterized in that, The method of obtaining the pipeline's evaluation index based on the first failure stress and the remaining life further includes: Set the influence coefficients for the remaining lifespan and the first failure stress, wherein the influence coefficient for the remaining lifespan is greater than the influence coefficient for the first failure stress; The evaluation index is obtained based on the first failure stress, the remaining life, the influence coefficient of the remaining life, and the influence coefficient of the first failure stress.

7. A pipeline defect assessment device, characterized in that, The device includes: The data acquisition module is used to acquire the first basic parameters of the pipeline and the first internal inspection data of the pipeline; The force value acquisition module is used to acquire the first failure stress and the safety circumferential stress based on the first basic parameters and the first internal detection data; The force value judgment module is used to determine whether the first failure stress is greater than the safe circumferential stress. If it is not greater, a first defect report is generated; if it is greater, the corrosion rate of the pipeline is obtained. The rate determination module is used to determine whether the corrosion rate is greater than a preset rate; if it is greater, a second defect assessment report is generated; if it is not greater, the remaining life of the pipeline is obtained. The evaluation index acquisition module is used to acquire the evaluation index of the pipeline based on the first failure stress and the remaining life. The index judgment module is used to determine whether the evaluation index is greater than a preset index; if it is not greater, a qualified report is generated; if it is greater, a third defect evaluation report is generated.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program and the processor being configured to perform the steps of the method according to any one of claims 1-6.

9. A defect assessment system, characterized in that, The defect assessment system includes: The electronic device according to claim 8.

10. A chip, characterized in that, The chip stores a computer program, which, when executed by a processor, implements the steps of the method according to any one of claims 1-6.

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