Pipeline crushing limit detection method and electronic equipment thereof

Abstract

The embodiment of the invention provides a pipeline crushing limit detection method and electronic equipment thereof, and the method comprises the steps: carrying out the synchronous pressurization of an inner cavity and an outer wall of a target pipeline based on a preset pressurization strategy, and collecting the internal pressure data, external pressure data and corresponding deformation data at each pressurization stage in real time; determining abnormal data in at least one pressurization stage based on the internal pressure data, the external pressure data and the corresponding deformation data in each pressurization stage; and on the basis of the abnormal data, crushing limit data of the current target pipeline are determined. Through the steps of the method, synchronous internal and external pressure loading is performed on the target pipeline, and multi-stage analysis is performed in combination with pressure and deformation data acquired in real time, so that the robustness and resolution of crushing limit judgment are improved, and the accuracy of a test result is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent testing, and particularly to a method, device, system, electronic device and storage medium for detecting the pipe crushing limit. Background Art

[0002] In many deep-sea engineering fields such as deep-sea oil and gas resource development and subsea tunnel construction, pipe fittings are widely used as key components. In the deep-sea environment, these pipe fittings are under extremely high external water pressure for a long time, and also need to bear internal pressure when transporting fluids internally. With the continuous expansion of deep-sea engineering to deeper depths, the performance requirements for pipe fittings under complex pressure conditions are becoming increasingly stringent.

[0003] Existing pipe crushing performance testing methods mostly take annular specimens as objects, and simulate the pipe compression environment through external pressure loading to calculate its compressive limit. However, there are obvious limitations in the existing pipe fitting crushing test devices and methods. On the one hand, although the full-length pipe fitting crushing failure test can accurately reflect the actual seabed conditions, the cost of a single test is high, and only a very small number of laboratories are equipped with large pressure test chambers for carrying out such tests. On the other hand, most tests can only simulate a single external pressure or internal pressure environment, and cannot truly reproduce the complex conditions where pipe fittings in the deep sea are simultaneously subjected to internal and external pressures.

[0004] Therefore, the existing pipe crushing limit detection methods have the problems of only considering external unilateral pressurization, lacking a true simulation of the coupling effect of internal and external pressures, and relying on a single signal for crushing determination, making it difficult to achieve accurate and timely limit identification. Summary of the Invention

[0005] Embodiments of the present invention provide a method for detecting the pipe crushing limit to solve the problems of the existing pipe crushing limit detection methods, which only consider external unilateral pressurization, lack a true simulation of the coupling effect of internal and external pressures, and rely on a single signal for crushing determination, making it difficult to achieve accurate and timely limit identification.

[0006] In a first aspect, embodiments of the present invention provide a method for detecting the pipe crushing limit, and the method includes the following steps: Based on a preset pressurization strategy, synchronously pressurize the inner cavity and outer wall of the target pipe, and collect the internal pressure data, external pressure data and corresponding deformation data at each pressurization stage in real time; Based on the internal pressure data, external pressure data and corresponding deformation data at each pressurization stage, determine at least one set of abnormal data at a pressurization stage; Based on the abnormal data, determine the pipe crushing limit data of the current target pipe.

[0007] Optionally, based on the preset pressurization strategy, synchronously pressurize the inner cavity and outer wall of the target pipeline, and collect the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage in real time, including: According to the pressure requirements of the current pressurization stage, perform water injection and exhaust operations on the inner cavity and outer wall of the target pipeline at a constant rate synchronously, and collect the corresponding pressure values in real time through the pressure sensors arranged on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage; Through the displacement monitoring sensor, monitor the shape of the target pipeline in real time to determine the deformation data of the target pipeline at the current pressurization stage.

[0008] Optionally, before performing the water injection and exhaust operations on the inner cavity and outer wall of the target pipeline at a constant rate synchronously according to the pressure requirements of the current pressurization stage, and collecting the corresponding pressure values in real time through the pressure sensors arranged on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage, the method further includes: Obtain the physical property data of the target pipeline; Based on the physical property data of the target pipeline, determine the number of stages of the preset pressurization strategy; Based on the number of stages of the preset pressurization strategy, determine the pressurization rate and pressurization accuracy at the corresponding stage; Based on the pressurization rate and pressurization accuracy at the corresponding stage, synchronously pressurize the inner cavity and outer wall of the target pipeline.

[0009] Optionally, before determining the abnormal data at at least one pressurization stage based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage, the method further includes: Obtain the physical property data of the target pipeline, where the physical property data includes material characteristic data and standard dimension data of the target pipeline; Based on the material characteristic data and standard dimension data, determine the theoretical crushing limit value of the target pipeline.

[0010] Optionally, determining the abnormal data at at least one pressurization stage based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage includes: Based on the theoretical crushing limit value, determine the pressure threshold and deformation threshold of the target pipeline at each pressurization stage; At each pressurization stage, compare the collected internal pressure data and external pressure data with the corresponding pressure threshold. If there is a continuous decrease or a sharp decrease in the pressure change compared to the pressure threshold, it is marked as suspected abnormal pressure data; Under each pressurization stage, compare the corresponding collected deformation data with the corresponding deformation threshold. If the change rate exceeds the change rate threshold within a preset time compared to the deformation threshold, mark it as suspected abnormal deformation data; Based on the suspected abnormal pressure data and the suspected abnormal deformation data, determine the abnormal data under at least one pressurization stage.

[0011] Optionally, the determining the crush limit data of the current target pipeline based on the abnormal data includes: Determine the abnormal time corresponding to the abnormal data; According to a preset time window before and after the abnormal time, determine the internal pressure data, external pressure data, and deformation data corresponding to the abnormal data; If the changes in the internal pressure data, external pressure data, and deformation data within the preset time window meet the preset crush limit changes, use the internal pressure data, external pressure data, and deformation data that meet the preset crush limit changes as the crush limit data of the target pipeline.

[0012] In a second aspect, an embodiment of the present invention further provides a pipeline crush limit detection device, where the pipeline crush limit detection device includes: A first pressurization module for synchronously pressurizing the inner cavity and outer wall of the target pipeline based on a preset pressurization strategy, and collecting the internal pressure data, external pressure data, and corresponding deformation data under each pressurization stage in real time; A first determination module for determining the abnormal data under at least one pressurization stage based on the internal pressure data, external pressure data, and corresponding deformation data under each pressurization stage; A second determination module for determining the crush limit data of the current target pipeline based on the abnormal data.

[0013] In a third aspect, an embodiment of the present invention provides a pipeline crush limit detection system, where the pipeline crush limit detection system includes: a pipeline crush limit detection device, a server, and a smart pipe detection device.

[0014] In a fourth aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps in the pipeline crush limit detection method provided by the embodiment of the present invention when executing the computer program.

[0015] In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program implements the steps in the pipeline crush limit detection method provided by the embodiment of the invention when executed by a processor.

[0016] The beneficial technical effects of the present invention are as follows. By performing synchronous internal and external pressure loading on the target pipeline through the above method steps and combining the pressure and deformation data collected in real time for multi-stage analysis, the robustness and resolution of the determination of the collapse limit are improved, and the accuracy of the test results is enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 is a system architecture diagram of a pipeline collapse limit detection system provided by an embodiment of the present invention; Figure 2 is a flowchart of a pipeline collapse limit detection method provided by an embodiment of the present invention; Figure 3 is a structural schematic diagram of another pipeline collapse limit detection device provided in an embodiment of the present invention; Figure 4 is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0020] As Figure 1 shown, Figure 1 is an architecture diagram of a pipeline collapse limit detection system 100 provided by an embodiment of the present invention. The pipeline collapse limit detection system includes: a pipeline collapse limit detection device 300, a server 101, and a smart pipeline measurement device 102. Among them, the pipeline collapse limit detection device 300 further includes a first pressurization module, which can be used to synchronously pressurize the inner cavity and outer wall of the target pipeline based on a preset pressurization strategy and collect the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage in real time; a first determination module, which can be used to determine at least one set of abnormal data at a pressurization stage based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage; a second determination module, which can be used to determine the collapse limit data of the current target pipeline based on the abnormal data.

[0021] Specifically, the above-mentioned smart pipe testing equipment may refer to an intelligent terminal device with data communication, remote control, result visualization and data management capabilities, usually including a human-computer interaction interface, a wireless communication module and an embedded processing unit. It can be understood that its function can be to configure, test and adjust various parameters in the crush test process, and synchronously upload the test data and crush judgment results to the cloud or server for unified management.

[0022] The above-mentioned preset pressurization strategy may refer to a pressure loading control scheme formulated according to the target pipeline material, structural parameters and test standards, including the loading sequence of internal pressure and external pressure, stage division, loading rate, maintenance time, etc. Specifically, the above-mentioned preset pressurization strategy can realize phased synchronous pressure loading, such as setting a loading mode with constant internal pressure and gradually increasing external pressure to simulate the actual pressure state under complex working conditions such as deep sea. For example, the above-mentioned preset pressurization strategy can be set according to actual test requirements and standard specifications, including but not limited to the control logic of "constant internal pressure and staged loading of external pressure". The staged rate can be set to a slowing loading mode such as 0.1 MPa / s → 0.05 MPa / s → 0.02 MPa / s. During the staged pressurization process, pressure data and deformation data are collected in real time through pressure sensors and displacement sensors distributed on the corresponding inner cavity or outer wall of the target pipeline to determine the corresponding pressure value, elastic deformation, deformation trend or mutation behavior.

[0023] The target pipeline can be the pipe section being tested, typically a ring specimen cut from an original oil or gas pipeline or a simulated structure, with representative dimensions, wall thickness, and material properties. Before testing begins, each displacement sensor connected to the ring specimen must be initialized, meaning its values are reset to zero.

[0024] In a possible embodiment, the above-mentioned pipeline collapse limit detection system has achieved the purpose of coordinated changes in internal pressure and external pressure according to a preset pressurization strategy by simultaneously applying pressure to the inner cavity and outer wall of the above-mentioned target pipeline. Specifically, the target pipeline can be tightly loaded into the pipeline collapse limit detection system, and liquid medium can be injected into the internal pressure chamber and external pressure chamber of the target pipeline respectively, so as to achieve isochronous response double-sided pressure environment simulation.

[0025] Each of the above pressurization stages can be multiple consecutive pressure increase intervals divided according to the above preset pressurization strategy. Among them, each stage has a relatively fixed loading rate and monitoring period, which are designed according to the representative size, wall thickness and material properties of the above target pipeline, and can reflect the key structural parameters of the actual pipeline used in engineering applications. These parameters together determine the crushing behavior of the pipeline. In the crushing limit test, representative specimens must be selected to ensure that the test results can be extended to the actual engineering structure. For example, taking a steel pipeline for deep-sea oil transportation as an example: Representative size: The outer diameter of this pipeline is 508 mm (20 inches), and the length is 300 mm, which are typical sizes of standard DN500-class steel pipes; Wall thickness: The wall thickness of the pipeline is 20 mm, which is of medium to thick grade according to API standards; Material properties: X65 steel for submarine use is selected, with a yield strength of 450 MPa, an elastic modulus of about 2.1×10 5 MPa, and a Poisson's ratio of 0.3.

[0026] On this basis, a section of specimen is cut for the crushing test. It can be considered to have "representative size, wall thickness and material properties". The crushing limit data obtained from the test can be used to guide the design margin check and safety assessment of the entire pipeline.

[0027] The above internal pressure data can refer to the liquid pressure value inside the pipeline lumen collected in real time by the internal pressure chamber pressure sensor during the test, which is used to reflect the stress state inside the target pipeline.

[0028] The above external pressure data can be the liquid environmental pressure value applied around the outer wall of the target pipeline collected by the external pressure chamber during the pressurization process. As the test stage progresses, the external pressure gradually rises to simulate the deep-sea or external load environment.

[0029] The above deformation data can refer to the deformation amount in the radial or circumferential direction of the pipeline collected by the displacement sensor during each pressurization stage, which is used to characterize the physical response behavior of the specimen under pressure, can be used to judge whether the structure enters the buckling or critical unstable state, and can also be used as an auxiliary criterion for identifying the crushing limit.

[0030] The above abnormal data can refer to the internal pressure, external pressure or deformation data detected during the test that show sudden changes, anomalies or severe fluctuations relative to the normal trend. Usually, it corresponds to the occurrence of the critical state of the structure. It should be noted that the above abnormal data can be dynamically adjusted according to the representative size, wall thickness and material properties of the above target pipeline to meet the critical state measurement of different pipelines in different environments.

[0031] The above crushing limit data may refer to the combination of internal pressure and external pressure values corresponding to the target pipeline when it undergoes crushing failure during the test, representing the safety limit bearing capacity of the structure under specific loading conditions. Specifically, the theoretical limit value corresponding to the above crushing limit data can be obtained through the following formula:

[0032]

[0033]

[0034] Among them, is the elastic control limit value, that is, the elastic control limit pressure value derived according to the elastic buckling theory, used to control the lower limit of pipeline buckling and reflect the material elasticity, is the theoretical crushing limit value of the annular specimen, is the elastic limit value when the pipeline wall is relatively thick, used to control the limit state of "thick-walled high-strength steel" before plastic failure, is the nominal wall thickness of the annular specimen, is the thickness tolerance of the annular specimen, is the Poisson's ratio of the material of the annular specimen, is the yield strength of the material of the annular specimen, is the pipeline manufacturing coefficient of the annular specimen, taking , is the elastic modulus of the material of the annular specimen. Through the above formula, the theoretical crushing limit data of the above target pipeline can be preliminarily calculated.

[0035] In a possible embodiment, before the above pipeline crushing limit detection system conducts the test, it is also necessary to preprocess the annular specimen of the above target pipeline, including but not limited to cleaning the surface of the annular specimen, checking whether there are defects in the appearance of the annular specimen, etc., and measuring the ovality of the annular specimen. Its standard can be measured by the following formula:

[0036] Among them, is the ovality of the annular specimen, is the maximum outer diameter measured on the same cross-section of the annular specimen, is the minimum outer diameter measured on the same cross-section of the annular specimen, is the nominal outer diameter of the annular specimen. Through the above formula, the annular specimen is preliminarily measured and preprocessed, and its corresponding representative dimensions and wall thickness can be accurately obtained.

[0037] In the above formula, can be obtained through the following formula:

[0038] Among them, is the result of each outer diameter test during the measurement of the ovality of the annular specimen, is the number of outer diameter tests during the measurement of the ovality of the annular specimen.

[0039] In another possible embodiment, the above pipeline collapse limit detection system performs synchronous internal and external pressure loading on the target pipeline based on a preset pressurization strategy through a pipeline collapse limit detection device, and real-time collects internal pressure data, external pressure data, and deformation data at each pressurization stage. By combining multi-source data to identify abnormal changes and determine the collapse limit value, it realizes the accurate assessment of the structural stability of the pipeline under complex compression conditions.

[0040] Through the above method steps, the automation of the test process and the intelligence of data judgment can be improved, thereby enhancing the accuracy of collapse determination.

[0041] As Figure 2 shown, Figure 2 is a flowchart of a pipeline collapse limit detection method provided by an embodiment of the present invention. The pipeline collapse limit detection method includes the steps: 201. Based on a preset pressurization strategy, synchronously pressurize the inner cavity and outer wall of the target pipeline, and real-time collect internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage.

[0042] In an embodiment of the present invention, the above pipeline collapse limit detection method can be applied to a pipeline collapse limit detection system. The above pipeline collapse limit detection system has functions such as pipeline collapse limit data processing, multi-pipeline collapse limit data transceiver, and pipeline collapse limit data memory storage, and can be constructed based on a server or a server cluster. The above server or server cluster can be an electronic device with pipeline collapse limit data processing capabilities.

[0043] The above-mentioned preset pressurization strategy may refer to a pressure loading control scheme formulated according to the target pipeline material, structural parameters and test standards, including the loading sequence of internal pressure and external pressure, stage division, loading rate, maintenance time, etc. Specifically, the above-mentioned preset pressurization strategy can realize phased synchronous pressure loading, such as setting a loading mode with constant internal pressure and gradually increasing external pressure to simulate the actual pressure state under complex working conditions such as deep sea. For example, the above-mentioned preset pressurization strategy can be set according to actual test requirements and standard specifications, including but not limited to the control logic of "constant internal pressure and staged loading of external pressure". The staged rate can be set to a slowing loading mode such as 0.1 MPa / s → 0.05 MPa / s → 0.02 MPa / s. During the staged pressurization process, pressure data and deformation data are collected in real time through pressure sensors and displacement sensors distributed on the corresponding inner cavity or outer wall of the target pipeline to determine the corresponding pressure value, elastic deformation, deformation trend or mutation behavior.

[0044] The target pipeline can be the pipe section being tested, typically a ring specimen cut from an original oil or gas pipeline or a simulated structure, with representative dimensions, wall thickness, and material properties. Before testing begins, each displacement sensor connected to the ring specimen must be initialized, meaning its values are reset to zero.

[0045] In a possible embodiment, the above-mentioned pipeline collapse limit detection system has achieved the purpose of coordinated changes in internal pressure and external pressure according to a preset pressurization strategy by simultaneously applying pressure to the inner cavity and outer wall of the above-mentioned target pipeline. Specifically, the target pipeline can be tightly loaded into the pipeline collapse limit detection system, and liquid medium can be injected into the internal pressure chamber and external pressure chamber of the target pipeline respectively, so as to achieve isochronous response double-sided pressure environment simulation.

[0046] The above-mentioned various pressurization stages may be a plurality of continuous pressure increase intervals divided according to the above-mentioned preset pressurization strategy.

[0047] 202. Determine abnormal data in at least one pressurization stage based on the internal pressure data, the external pressure data, and the corresponding deformation data in each pressurization stage.

[0048] In the embodiment of the present invention, a steel pipe used for a deep-sea oil pipeline is taken as an example: Representative dimensions: The pipe has an outside diameter of 508 mm (20 inches) and a length of 300 mm, which are typical dimensions for standard DN500 grade steel pipe. Wall thickness: The pipe wall thickness is 20mm, which is medium to thick according to API standards; Material properties: X65 submarine steel is used, with a yield strength of 450 MPa and an elastic modulus of approximately 2.1×10 5MPa, and the Poisson's ratio is 0.3.

[0049] On this basis, a section of the specimen is cut for the crushing test. It can be considered to have "representative size, wall thickness, and material properties". The crushing limit data obtained from the test can be used to guide the design margin check and safety assessment of the entire pipeline.

[0050] The above internal pressure data can refer to the liquid pressure value inside the pipeline lumen collected in real time by the internal pressure chamber pressure sensor during the test, which is used to reflect the stress state inside the target pipeline.

[0051] The above external pressure data can be the liquid environmental pressure value applied around the outer wall of the target pipeline collected by the external pressure chamber during the pressurization process. As the test stage progresses, the external pressure gradually increases to simulate the deep - sea or external load environment.

[0052] The above deformation data can refer to the deformation amount in the radial or circumferential direction of the pipeline collected by the displacement sensor during each pressurization stage, which is used to characterize the physical response behavior of the specimen under pressure. It can be used to judge whether the structure enters the buckling or critical unstable state, and can also be used as an auxiliary criterion for identifying the crushing limit.

[0053] The above abnormal data can refer to the internal pressure, external pressure, or deformation data detected during the test that shows sudden changes, anomalies, or violent fluctuations relative to the normal trend. Usually, it corresponds to the occurrence of the critical state of the structure. It should be noted that the above abnormal data can be dynamically adjusted according to the representative size, wall thickness, and material properties of the above - mentioned target pipeline to meet the critical state measurement of pipelines with different properties in different environments.

[0054] 203. Based on the abnormal data, determine the crushing limit data of the current target pipeline.

[0055] In the embodiment of the present invention, the above - mentioned crushing limit data can refer to the combination of internal pressure and external pressure values corresponding to the crushing failure of the target pipeline during the test, which represents the safety limit bearing capacity of the structure under specific loading conditions.

[0056] The above - mentioned pipeline crushing limit detection system performs synchronous internal and external pressure loading on the target pipeline based on a preset pressurization strategy through the pipeline crushing limit detection device, and collects internal pressure data, external pressure data, and deformation data in real time at each pressurization stage. By combining multi - source data to identify abnormal changes and determine the crushing limit value, it realizes the accurate assessment of the structural stability of the pipeline under complex compression conditions.

[0057] Through the above - mentioned method steps, the automation of the test process and the intelligence of data judgment can be improved, thereby enhancing the accuracy of crushing determination.

[0058] In the embodiments of the present invention, based on a preset pressurization strategy, the inner cavity and the outer wall of the target pipeline are pressurized synchronously, and the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage are collected in real time; based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage, at least one abnormal data at a pressurization stage is determined; based on the abnormal data, the crushing limit data of the current target pipeline is determined. By performing synchronous internal and external pressure loading on the target pipeline through the above method steps and combining the pressure and deformation data collected in real time for multi-stage analysis, the robustness and resolution of the crushing limit judgment are improved, and the accuracy of the test results is enhanced.

[0059] Optionally, in the step of pressurizing the inner cavity and the outer wall of the target pipeline synchronously based on a preset pressurization strategy and collecting the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage in real time, water injection and exhaust operations can also be synchronously performed on the inner cavity and the outer wall of the target pipeline at a constant rate according to the pressure demand of the current pressurization stage, and the corresponding pressure values are collected in real time through the pressure sensors arranged in the inner cavity and the outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage; the shape of the target pipeline is monitored in real time through a displacement monitoring sensor to determine the deformation data of the target pipeline at the current pressurization stage.

[0060] In the embodiments of the present invention, the above-mentioned pressure demand may refer to, during the pipeline crushing limit test, judging whether to continue to load pressure, maintain pressure, or reduce pressure according to the difference relationship between the target pressure value set for the current pressurization stage and the actually measured pressure value. For example, when the external pressure target value for a certain stage is set to 6 MPa, if the currently collected external pressure is only 5.5 MPa, it is judged that "there is a pressure gap of 0.5 MPa", and at this time, the above-mentioned pipeline crushing limit detection system will continue to supplement liquid into the external pressure chamber to increase the pressure until the set target is reached. It can be understood that the above-mentioned pressure demand can be dynamically calculated based on a preset loading rate and the response speed of the above-mentioned pipeline crushing limit detection system, and is used to link and control execution components such as a pressure pump and an exhaust valve to achieve precise pressure control.

[0061] In a possible embodiment, when the above-mentioned pipeline crushing limit detection system starts the test or switches the pressurization stage, liquid (such as water or a test medium) is synchronously injected into the inner cavity and the outer cavity of the target pipeline, and the residual air in the cavity is discharged by opening a specially provided exhaust hole or an exhaust valve to ensure that the medium inside the cavity is a pure liquid environment during the pressure loading process, avoiding data errors or unstable loading caused by gas compression, so as to implement the water injection and exhaust operation.

[0062] Specifically, the above-mentioned water injection and exhaust operations are usually carried out at a constant flow rate to keep the cavity pressure rising steadily and ensure that the liquid completely replaces the air in the cavity. By synchronously controlling the water injection pump and the exhaust valve, automatic and efficient gas-liquid replacement can be achieved.

[0063] The above deformation data can be used to collect the geometric changes of the target pipeline in real time at each pressurization stage by displacement monitoring sensors set on the inner wall of the pipeline, the wall of the test cavity or the support structure, and then form quantifiable deformation information. For example, when the above pipeline crush limit detection system obtains the displacement values of multiple sensor points, combined with their spatial coordinates, parameters such as the radial compression amount, circumferential offset, and local mutation amount of the whole or local area of the pipeline are calculated through algorithms to describe the real deformation behavior of the pipeline during the pressure loading process.

[0064] More specifically, common fitting methods can include but are not limited to algorithms such as polynomial curve fitting, local curvature analysis, and time series residual fitting. The threshold judgment of displacement mutation is carried out by the displacement value of a certain monitoring point changing more than the preset rate change threshold or deviating from the normal trend curve by an excessive amplitude within a unit time. Among them, the judgment rules can include the following two types of threshold mechanisms: Rate threshold method: Set a reference rate change value ΔV, for example, 0.1 mm / s. If the displacement increment of a certain monitoring point exceeds 0.05 mm within 0.5 seconds, it is considered a mutation trend. Deviation residual method: By fitting and modeling the standard deformation trend curve at each pressurization stage, set an allowable error band (such as ±2σ). If the displacement value of a certain point deviates from the fitting curve by more than the error band, it is marked as a local mutation amount.

[0065] In addition, the threshold can be adaptively adjusted according to the material parameters of the specimen (such as yield strain), wall thickness size, or the preloading response in the early stage.

[0066] Optionally, before the step of synchronously injecting water and exhausting air into the inner cavity and outer wall of the target pipeline at a constant rate according to the pressure demand of the current pressurization stage, and collecting the corresponding pressure values in real time through pressure sensors set on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage, it also includes obtaining the physical property data of the target pipeline; determining the number of stages of the preset pressurization strategy based on the physical property data of the target pipeline; determining the pressurization rate and pressurization accuracy at the corresponding stage based on the number of stages of the preset pressurization strategy; and synchronously pressurizing the inner cavity and outer wall of the target pipeline based on the pressurization rate and pressurization accuracy at the corresponding stage.

[0067] In an embodiment of the present invention, the physical property data of the above-mentioned target pipeline may include, but are not limited to, geometric parameters (such as outer diameter, inner diameter, wall thickness, length, etc.) and material parameters (such as yield strength, elastic modulus, Poisson's ratio, density, etc.), which are a set of basic parameters used to characterize the structural characteristics and material properties of the target pipeline. It can be understood that these data can be used to reflect the response ability of the target pipeline to internal and external loads and serve as a prerequisite basis for formulating a reasonable pressurization strategy and judging the critical point of structural failure.

[0068] The above-mentioned number of stages may refer to dividing the entire pressurization process into several logical loading intervals, and each interval is called a pressurization stage. Specifically, due to the different physical property data of the above-mentioned target pipeline, there will be varying degrees of differences in the pressure change and deformation change presented in different pressurization stages. Therefore, according to the physical property data of different target pipelines, different numbers of stages can be divided, and parameters such as the pressurization rate and pressurization accuracy in different numbers of stages can be refined to control and analyze the structural response process of the pipeline in stages. For example, the three-stage pressurization strategy may include: initial loading, approaching loading, and fine loading, to identify the deformation behavior and instability signs in different pressure intervals.

[0069] The above-mentioned pressurization rate may refer to the amount of pressure change applied to the target pipeline per unit time, usually in MPa / s. For example, the pressurization rate can be set to 0.1 MPa / s, indicating that the pressure rises by 0.1 megapascals per second. The above-mentioned pressurization rate is a key parameter affecting the test accuracy and safety. If the pressurization rate is too fast, the structure of the above-mentioned target pipeline may undergo sudden changes or jump instability, and if the rate is too slow, it will affect the test efficiency. Therefore, according to the specific implementation plan, the pressurization rate in different numbers of stages can be adjusted to meet the test conditions of different target pipelines.

[0070] The above-mentioned pressurization accuracy may refer to the maximum pressure control error range allowed by the system during the actual loading process, usually expressed as ±X MPa. It can be understood that its value reflects the stability of the system loading control and the sensor resolution. The higher the accuracy, the smoother the loading control and the more reliable the test results.

[0071] In a possible embodiment, before loading, the above-mentioned pipeline crush limit test system automatically configures a preset pressurization strategy based on the physical property data of the target pipeline (including size parameters and material characteristics), determines the number of loading stages, the pressurization rate and pressurization accuracy of each stage, and accordingly performs synchronous water injection, exhaust, and pressurization operations on the inner cavity and outer wall of the pipeline at a constant rate, real-time collects internal and external pressure data and deformation data, and accurately judges the crush limit point in combination with the abnormal data recognition algorithm.

[0072] Through the above method steps, the parameter self - adaptation of the pipe groove crushing limit test process, the dynamic precise control of the loading process, and the high - resolution response of the crushing determination are realized, improving the accuracy, efficiency, and engineering adaptability of the pipeline structure stability test under deep - sea or extreme working conditions.

[0073] Optionally, before determining the abnormal data in at least one pressurization stage based on the internal pressure data, external pressure data, and corresponding deformation data in each pressurization stage, the method further includes obtaining the physical property data of the target pipeline; determining the theoretical crushing limit value of the target pipeline based on the material characteristic data and the standard size data.

[0074] In the embodiment of the present invention, the above physical property data may include, but is not limited to, basic parameters such as material characteristic data and the standard size data of the target pipeline, which are used to characterize the structural characteristics and material properties of the target pipeline.

[0075] Specifically, the above material characteristic data may refer to the mechanical property parameters of the material constituting the target pipeline, such as performance parameter data reflecting the deformation and failure behavior of the material during the stress process, such as yield strength, ultimate compressive strength, elastic modulus, Poisson's ratio, etc.

[0076] The above standard size data may refer to the basic geometric parameters of the target pipeline in the design state, including but not limited to outer diameter, inner diameter, wall thickness, length, ovality, or concentricity, etc. These size data determine the overall compressive stability of the pipeline structure and are the core input variables for theoretical crushing strength calculation and experimental verification.

[0077] In a possible embodiment, the above pipeline crushing limit test and detection system can call an engineering theoretical calculation model (such as API 5L standard or finite element model) according to the above material characteristic data and standard size data to calculate the theoretical crushing limit value of the target pipeline. Its theoretical crushing limit value can be obtained through the following formula:

[0078]

[0079]

[0080] Among them, is the theoretical crushing limit value of the annular specimen, is the nominal wall thickness of the annular specimen, is the thickness tolerance of the annular specimen, is the Poisson's ratio of the material of the annular specimen, is the yield strength of the material of the annular specimen, is the pipe manufacturing coefficient of the annular specimen, taking , $E$ is the elastic modulus of the annular specimen material, and the theoretical collapse limit data of the above target pipeline can be preliminarily calculated through the above formula.

[0081] Optionally, in the step of determining at least one abnormal data under each pressurization stage based on the internal pressure data, external pressure data and corresponding deformation data under each pressurization stage, it further includes determining the pressure threshold and deformation threshold of the target pipeline under each pressurization stage based on the theoretical collapse limit value; under each pressurization stage, comparing the collected internal pressure data and external pressure data with the corresponding pressure threshold, if there is a continuous decrease or a sharp decrease in the pressure change compared with the pressure threshold, it is marked as pressure suspected abnormal data; under each pressurization stage, comparing the collected deformation data with the corresponding deformation threshold, if the change rate exceeds the change rate threshold within a preset time compared with the deformation threshold, it is marked as deformation suspected abnormal data; based on the pressure suspected abnormal data and the deformation suspected abnormal data, determining at least one abnormal data under each pressurization stage.

[0082] In the embodiment of the present invention, the above pipeline collapse limit detection system calculates the corresponding pressure threshold and deformation threshold for each pressurization stage by calculating the theoretical collapse limit value. In each pressurization test stage, the above pipeline collapse limit detection system dynamically compares the internally and externally pressurized data collected in real time with the pressure threshold of this stage: If it is found that within a certain monitoring time period, the pressure data shows a gradually decreasing trend in continuous acquisitions, or undergoes a sharp jump within a very short time, that is, the decrease rate exceeds the set safety rate threshold, the system marks this data segment as pressure suspected abnormal data.

[0083] At the same time, the above pipeline collapse limit detection system also compares and analyzes the deformation data (such as radial compression amount, local protrusion amount) collected in each stage with the deformation threshold: If it is found that the change rate of the deformation data within a unit time exceeds the deformation rate threshold, or undergoes a non-linear offset beyond the normal deformation mode, it is marked as deformation suspected abnormal data.

[0084] For example, in each pressurization stage, the above pipeline collapse limit detection system will compare the internally and externally pressurized data collected in real time with the corresponding pressure threshold: if it is found that the pressure data continuously decreases, or suddenly drops rapidly (such as dropping a lot at once), it means that there may be an abnormality in the pressure, and the above pipeline collapse limit detection system marks this section of data as "pressure suspected abnormal data".

[0085] Meanwhile, the above-mentioned pipeline crush limit detection system will also compare the monitored deformation data (such as whether the pipe is dented, bent, etc.) with the deformation threshold: if the deformation changes too fast (for example, it dents much more than expected within a few seconds), the above-mentioned pipeline crush limit detection system will also mark it as "suspected abnormal deformation data".

[0086] Finally, the above-mentioned pipeline crush limit detection system will analyze the anomalies in both pressure and deformation together. If these two anomalies occur simultaneously or one of them occurs within the same time period, it indicates that there is a structural anomaly in this pressurization stage. The above-mentioned pipeline crush limit detection system will record it as an important basis for judging the crush limit value later.

[0087] In a possible embodiment, the above-mentioned pipeline crush limit detection system fuses the above-mentioned suspected abnormal pressure data and suspected abnormal deformation data, performs matching and cross-verification according to the time stamp, and determines the corresponding data segment of this stage as an abnormal data segment under the condition of satisfying any or both triggering conditions.

[0088] Through the above method steps, by introducing a phased threshold determination strategy and a two-factor anomaly recognition mechanism, the real-time monitoring and anomaly warning of the structural response of the target pipeline under each loading stage are realized, effectively improving the response accuracy, safety and intelligent level of the crush limit test system.

[0089] Optionally, in the step of determining the crush limit data of the current target pipeline based on the abnormal data, it further includes determining the abnormal moment corresponding to the abnormal data; determining the internal pressure data, external pressure data and deformation data corresponding to the abnormal data according to a preset time window before and after the abnormal moment; if the changes of the internal pressure data, external pressure data and deformation data within the preset time window meet the preset crush limit change, then the internal pressure data, external pressure data and deformation data that meet the preset crush limit change are used as the crush limit data of the target pipeline.

[0090] In the embodiment of the present invention, the above-mentioned abnormal moment may refer to the specific time point when mutations or anomalies are identified during the process of collecting and analyzing the internal pressure, external pressure and deformation data of the pipeline. For example, if the internal pressure suddenly drops at a certain time point while the external pressure changes little, and at the same time the deformation data jumps violently, then this moment will be automatically recorded by the system as an abnormal moment and used as a reference starting point for subsequent crush limit determination.

[0091] The above-mentioned preset time window may refer to a time range set for forward and backward expansion after the abnormal moment is identified, used to capture the data changes before and after the anomaly occurs. For example, centered on the abnormal moment, a total acquisition data interval of 0.2 milliseconds, 0.1 millisecond forward and 0.1 millisecond backward, such a setting can capture the trend before the anomaly occurs and the response after it, thus improving the accuracy of judgment.

[0092] It is understandable that the size of the above-mentioned preset time window can be dynamically set by specific implementation factors such as test requirements, pipeline reaction rate, data sampling frequency, etc. For example, for thin-walled pipelines with fast response, the time window can be set shorter (such as 0.5 milliseconds before and after), while for thick-walled structures with lagging response, it can be extended to 0.2 milliseconds before and after to completely capture the evolution trend of the crushing process. By flexibly adjusting the size of the time window, the sensitivity and accuracy of crushing judgment can be effectively improved, and misjudgment or missed judgment of abnormal states can be avoided.

[0093] The above-mentioned preset crushing limit change can be a judgment condition set by the above-mentioned pipeline crushing limit detection system for identifying whether the pressure and deformation within a certain period of time have entered the crushing limit state. Generally, the judgment conditions can include but are not limited to: within the time window, a sudden drop in internal pressure or external pressure greater than a certain threshold (such as 5% - 10%), a sharp increase in the radial deformation of the pipeline within a very short time (such as greater than 3% - 5% of the original radius), or a sharp increase in the deformation rate, etc. That is, during the test of the above-mentioned target pipeline, when these characteristics are met, the above-mentioned pipeline crushing limit detection system determines that the target pipeline has reached the crushing limit.

[0094] As Figure 3 shown, an embodiment of the present invention further provides a pipeline crushing limit detection device 300, and the pipeline crushing limit detection device 300 includes: A first pressurizing module 301, configured to synchronously pressurize the inner cavity and outer wall of the target pipeline based on a preset pressurizing strategy, and collect internal pressure data, external pressure data, and corresponding deformation data at each pressurizing stage in real time; A first determining module 302, configured to determine at least one set of abnormal data at a pressurizing stage based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurizing stage; A second determining module 303, configured to determine the crushing limit data of the current target pipeline based on the abnormal data.

[0095] Optionally, the above-mentioned first pressurizing module 301 includes: A first collecting sub-module, configured to perform synchronous water injection and exhaust operations on the inner cavity and outer wall of the target pipeline at a constant rate according to the pressure requirements of the current pressurizing stage, and collect the corresponding pressure values in real time through pressure sensors arranged on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurizing stage; A first determining sub-module, configured to monitor the shape of the target pipeline in real time through a displacement monitoring sensor to determine the deformation data of the target pipeline at the current pressurizing stage.

[0096] Optionally, the above-mentioned device further includes: The first acquisition module is used to acquire the physical property data of the target pipeline; The third determination module is used to determine the number of stages of the preset pressurization strategy based on the physical property data of the target pipeline; The fourth determination module is used to determine the pressurization rate and pressurization accuracy at the corresponding stage based on the number of stages of the preset pressurization strategy; The synchronous pressurization module is used to synchronously pressurize the inner cavity and outer wall of the target pipeline based on the pressurization rate and pressurization accuracy at the corresponding stage.

[0097] Optionally, the above device further includes: The second acquisition module is used to acquire the physical property data of the target pipeline, and the physical property data includes material characteristic data and standard dimension data of the target pipeline; The fifth determination module is used to determine the theoretical crushing limit value of the target pipeline based on the material characteristic data and the standard dimension data.

[0098] Optionally, the above first determination module 302 includes: The second determination sub-module is used to determine the pressure threshold and deformation threshold of the target pipeline at each pressurization stage based on the theoretical crushing limit value; The first marking sub-module is used to compare the collected internal pressure data and external pressure data with the corresponding pressure threshold at each pressurization stage. If there is a continuous decrease or a sharp decrease in the pressure change compared with the pressure threshold, it is marked as pressure suspected abnormal data; The second marking sub-module is used to compare the collected deformation data with the corresponding deformation threshold at each pressurization stage. If the change rate exceeds the change rate threshold within a preset time compared with the deformation threshold, it is marked as deformation suspected abnormal data; The marking integration sub-module is used to determine the abnormal data at at least one pressurization stage based on the pressure suspected abnormal data and the deformation suspected abnormal data.

[0099] Optionally, the above second determination module 303 includes: The third determination sub-module is used to determine the abnormal moment corresponding to the abnormal data; The fourth determination sub-module is used to determine the internal pressure data, external pressure data and deformation data of the corresponding abnormal data according to a preset time window before and after the abnormal moment; The monitoring sub-module is used to use the internal pressure data, external pressure data and deformation data that meet the preset crushing limit change as the crushing limit data of the target pipeline if the changes of the internal pressure data, external pressure data and deformation data within the preset time window meet the preset crushing limit change.

[0100] As shown Figure 4 in the figure, an embodiment of the present invention further provides an electronic device 400, including a processor, and the above-mentioned processor can execute any one of the above-mentioned pipeline crushing limit detection methods.

[0101] Specifically, it includes a processor 401, a memory 402, and a computer program stored on the memory 402 and capable of running on the processor 401 to execute the pipeline crushing limit detection method, where: The processor 401 runs the calculator program of the pipeline crushing limit detection method stored in the memory 402 and executes the following steps: Based on a preset pressurization strategy, synchronously pressurize the inner cavity and outer wall of the target pipeline, and collect the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage in real time; Based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage, determine the abnormal data at at least one pressurization stage; Based on the abnormal data, determine the crushing limit data of the current target pipeline.

[0102] Optionally, when the processor 401 executes the step of synchronously pressurizing the inner cavity and outer wall of the target pipeline based on a preset pressurization strategy and collecting the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage in real time, it includes: According to the pressure requirement of the current pressurization stage, synchronously perform the water injection and exhaust operation on the inner cavity and outer wall of the target pipeline at a constant rate, and collect the corresponding pressure values in real time through the pressure sensors arranged on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage; Real-time monitor the shape of the target pipeline through a displacement monitoring sensor to determine the deformation data of the target pipeline at the current pressurization stage.

[0103] Optionally, before the processor 401 executes the step of synchronously performing the water injection and exhaust operation on the inner cavity and outer wall of the target pipeline at a constant rate according to the pressure requirement of the current pressurization stage and collecting the corresponding pressure values in real time through the pressure sensors arranged on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage, the method further includes: Obtain the physical property data of the target pipeline; Based on the physical property data of the target pipeline, determine the number of stages of the preset pressurization strategy; Based on the number of stages of the preset pressurization strategy, determine the pressurization rate and pressurization accuracy at the corresponding stage; Based on the pressurization rate and pressurization accuracy at the corresponding stage, synchronously pressurize the inner cavity and outer wall of the target pipeline.

[0104] Optionally, before the processor 401 executes determining, based on the internal pressure data, external pressure data, and corresponding deformation data under each pressurization stage, abnormal data under at least one pressurization stage, the method further includes: Obtaining physical property data of a target pipeline, where the physical property data includes material characteristic data and standard dimension data of the target pipeline; Based on the material characteristic data and the standard dimension data, determining a theoretical crushing limit value of the target pipeline.

[0105] Optionally, when the processor 401 executes determining, based on the internal pressure data, external pressure data, and corresponding deformation data under each pressurization stage, abnormal data under at least one pressurization stage, it includes: Based on the theoretical crushing limit value, determining a pressure threshold and a deformation threshold of the target pipeline under each pressurization stage; Under each pressurization stage, comparing the collected internal pressure data and external pressure data with the corresponding pressure threshold. If there is a continuous or sharp drop in the pressure change compared to the pressure threshold, it is marked as pressure suspected abnormal data; Under each pressurization stage, comparing the collected deformation data with the corresponding deformation threshold. If the change rate exceeds the change rate threshold within a preset time compared to the deformation threshold, it is marked as deformation suspected abnormal data; Based on the pressure suspected abnormal data and the deformation suspected abnormal data, determining abnormal data under at least one pressurization stage.

[0106] Optionally, when the processor 401 executes determining, based on the abnormal data, the crushing limit data of the current target pipeline, it includes: Determining an abnormal moment corresponding to the abnormal data; According to a preset time window before and after the abnormal moment, determining the internal pressure data, external pressure data, and deformation data corresponding to the abnormal data; If the changes of the internal pressure data, external pressure data, and deformation data corresponding within the preset time window satisfy a preset crushing limit change, then the internal pressure data, external pressure data, and deformation data that satisfy the preset crushing limit change are used as the crushing limit data of the target pipeline.

[0107] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each process of the pipeline crushing limit detection method or the application-side pipeline crushing limit detection method provided by the embodiment of the present invention, and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0108] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0109] The above-disclosed are only the preferred embodiments of the present invention. Of course, the scope of the rights of the present invention cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A method for detecting the pipe crushing limit, characterized in that Including: Based on a preset pressurization strategy, synchronously pressurize the inner cavity and outer wall of the target pipeline, and collect the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage in real time; Based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage, determine the abnormal data at at least one pressurization stage; Based on the abnormal data, determine the collapse limit data of the current target pipeline.

2. The pipeline crushing limit detection method according to claim 1, wherein The step of based on a preset pressurization strategy, synchronously pressurize the inner cavity and outer wall of the target pipeline, and collect the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage in real time, includes: According to the pressure requirement of the current pressurization stage, synchronously perform water injection and exhaust operations on the inner cavity and outer wall of the target pipeline at a constant rate, and collect the corresponding pressure values in real time through the pressure sensors arranged on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage; Through a displacement monitoring sensor, monitor the shape of the target pipeline in real time to determine the deformation data of the target pipeline at the current pressurization stage.

3. The method for detecting the pipeline crushing limit according to claim 2, wherein Before the step of according to the pressure requirement of the current pressurization stage, synchronously perform water injection and exhaust operations on the inner cavity and outer wall of the target pipeline at a constant rate, and collect the corresponding pressure values in real time through the pressure sensors arranged on the inner cavity and outer wall to obtain the internal pressure data and external pressure data at the current pressurization stage, the method further includes: Obtain the physical property data of the target pipeline; Based on the physical property data of the target pipeline, determine the number of stages of the preset pressurization strategy; Based on the number of stages of the preset pressurization strategy, determine the pressurization rate and pressurization accuracy at the corresponding stage; Based on the pressurization rate and pressurization accuracy at the corresponding stage, synchronously pressurize the inner cavity and outer wall of the target pipeline.

4. The pipeline crushing limit detection method according to claim 1, wherein, Before the step of based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage, determine the abnormal data at at least one pressurization stage, the method further includes: Obtain the physical property data of the target pipeline, where the physical property data includes material characteristic data and standard dimension data of the target pipeline; Based on the material characteristic data and standard dimension data, determine the theoretical collapse limit value of the target pipeline.

5. The pipeline crushing limit detection method according to claim 4, characterized in that The step of based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurization stage, determine the abnormal data at at least one pressurization stage, includes: Based on the theoretical collapse limit value, determine the pressure threshold and deformation threshold of the target pipeline at each pressurization stage; At each pressurization stage, compare the collected internal pressure data and external pressure data with the corresponding pressure threshold. If there is a continuous decrease or a sharp decrease in the pressure change compared with the pressure threshold, it is marked as pressure suspected abnormal data; At each pressurization stage, compare the collected deformation data with the corresponding deformation threshold. If the change rate exceeds the change rate threshold within a preset time compared with the deformation threshold, it is marked as deformation suspected abnormal data; Based on the pressure suspected abnormal data and deformation suspected abnormal data, determine the abnormal data at at least one pressurization stage.

6. The pipeline crushing limit detection method according to claim 1, characterized in that Determining the crushing limit data of the current target pipeline based on the abnormal data includes: Determining the abnormal moment corresponding to the abnormal data; Determining the internal pressure data, external pressure data, and deformation data corresponding to the abnormal data according to a preset time window before and after the abnormal moment; If the changes of the internal pressure data, external pressure data, and deformation data within the preset time window meet the preset crushing limit change, the internal pressure data, external pressure data, and deformation data that meet the preset crushing limit change are used as the crushing limit data of the target pipeline.

7. A pipeline crushing limit detection device, characterized in that Including: A first pressurizing module for synchronously pressurizing the inner cavity and outer wall of the target pipeline based on a preset pressurizing strategy, and collecting the internal pressure data, external pressure data, and corresponding deformation data at each pressurizing stage in real time; A first determining module for determining abnormal data at at least one pressurizing stage based on the internal pressure data, external pressure data, and corresponding deformation data at each pressurizing stage; A second determining module for determining the crushing limit data of the current target pipeline based on the abnormal data.

8. A pipeline crushing limit detection system, characterized in that, The pipeline crushing limit detection system includes: a pipeline crushing limit detection device; The pipeline crushing limit detection device implements the pipeline crushing limit detection method described in Claim 1.

9. An electronic device, characterized in that, Including: A memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the steps in the pipeline crushing limit detection method described in any one of Claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, the steps in the pipeline crushing limit detection method described in any one of Claims 1 to 6 are implemented.

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