CN116680848B - Pipeline suspending section safety evaluation system, device and medium - Google Patents
Pipeline suspending section safety evaluation system, device and medium Download PDFInfo
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- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
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Abstract
The invention discloses a system, a device and a medium for evaluating the safety of a suspended section of a pipeline, and relates to the technical field of oil and gas pipeline protection. According to the method, pipeline information and river information corresponding to the suspended pipeline to be evaluated are obtained based on the suspended pipeline to be evaluated, and after a failure evaluation model is established, pipeline stress, self-vibration frequency and vortex-induced vibration frequency of the suspended pipeline to be evaluated are obtained according to the failure evaluation model; the model is optimized and parameter-adjusted according to different river channels and pipelines, so that the accuracy of model evaluation is improved; the actual stress change condition of the suspended section pipeline of the river crossing pipeline under the influence of flood is accurately mastered through analysis of the model output result, and whether the suspended pipeline has potential safety hazards under the effect of flood is accurately judged.
Description
Technical Field
The invention relates to the technical field of oil and gas pipeline protection, in particular to a pipeline suspended section safety evaluation system, a device and a medium.
Background
The long-distance pipeline is the most rapid, economical and stable transportation means in the existing industries of petroleum, natural gas and the like. The long-distance pipeline can pass through various terrains due to actual design requirements in the laying process, and is inevitably affected by various geological disasters. The data of the pipeline along-line disaster investigation show that the water damage rate of various geological disaster hidden trouble points of the long-distance pipeline is up to 59.5%, and the continuous flood flushing in the flood season can cause the undercut of the river bed, so that the pipeline is gradually exposed and suspended, and the pipeline is directly flushed with flood.
In the prior art, the safety of the river crossing pipeline is judged by adopting the design criteria of stress and strain, namely, the river channel and water flow where the pipeline is positioned are analyzed before the pipeline is laid, and design parameters such as pipeline burial depth and the like are determined according to the medium conveyed by the pipeline, so that the safety of the river crossing pipeline is ensured. However, the actual stress of the pipeline can be changed due to the long-term effect of flood, the design and the installation of the pipeline are standardized only according to the standard condition that the pipeline is buried underground in the prior art, and the exposed and suspended pipeline after the flood effect cannot be analyzed in real time. Therefore, how to timely master the change conditions of stress, strain and displacement of the pipeline at the suspended section of the river crossing pipeline under the influence of flood, whether the pipeline has potential safety hazards or not is judged, and the important significance is provided for preventing the pipeline from breaking and failing due to the flood effect in the flood season.
Disclosure of Invention
The invention provides a pipeline suspended section safety evaluation system for accurately judging whether a suspended section pipeline has potential safety hazards under the current river channel, water flow and other conditions under the influence of flood, wherein the pipeline suspended section safety evaluation system comprises:
the data acquisition unit is used for acquiring data based on the suspension pipeline to be evaluated, and acquiring pipeline information and river information corresponding to the suspension pipeline to be evaluated;
the model construction unit is used for establishing a failure evaluation model, wherein the failure evaluation model comprises a yield evaluation sub-model, a vibration evaluation sub-model and a fatigue evaluation sub-model, and the yield evaluation sub-model is used for calculating the pipeline stress of the suspended pipeline to be evaluated according to the river information and the pipeline information; the vibration evaluation sub-model is used for calculating the self-vibration frequency of the suspension pipeline to be evaluated according to the river information and the pipeline information; the fatigue evaluation sub-model is used for calculating vortex-induced vibration frequency of the suspended pipeline to be evaluated according to the river information and the pipeline information;
the data analysis unit is used for inputting the pipeline information and the river information into the failure evaluation model to obtain output data; and analyzing the output data to obtain a pipeline safety evaluation result.
The principle of the system is as follows: the data acquisition unit acquires the pipeline information and the river information corresponding to the suspended pipeline to be evaluated based on the suspended pipeline to be evaluated, and after the model construction unit establishes a failure evaluation model, the data analysis respectively calculates the pipeline stress, the self-vibration frequency and the vortex-induced vibration frequency of the suspended pipeline to be evaluated according to the failure evaluation model, the pipeline information and the river information, so that the actual stress change condition of the suspended pipeline of the river crossing pipeline under the influence of flood is mastered; and the output result of the model is analyzed through the data analysis unit, so that whether the suspended pipeline has the risk of yield damage, the risk of resonance damage and the risk of fatigue damage under the action of flood is judged, whether the suspended section of the pipeline has potential safety hazards is accurately estimated, and the method has good practicability.
Further, for different long-distance pipelines and long-distance pipelines applied to different river channels, due to factors such as pipeline materials, maximum stress of the pipelines, river channel height, maximum flood flow rate of the river channels and the like, real-time stress variation amounts generated by the suspended sections of the long-distance pipelines under the flood are different, pipeline stress, self-vibration frequency corresponding to the suspended pipelines to be evaluated in different types and different positions and vortex-induced vibration frequency received under the flood flushing are calculated better, the pipeline information comprises pipe information and pipe condition information, the river information comprises river channel information and river condition information, and the pipeline suspended safety evaluation system further comprises:
the data storage unit is used for establishing a database, and the database is used for storing the pipe information, the river channel information and a failure evaluation model corresponding to the pipe information and the river channel information;
the data analysis unit is used for matching pipe information and river channel information corresponding to the suspended pipeline to be evaluated with data stored in the database, if matching is successful, a first failure evaluation model is obtained, and the pipeline information and the river information are input into the first failure evaluation model to obtain output data;
if the matching fails, parameter adjustment is carried out on the failure evaluation model according to the pipe information and the river channel information, a second failure evaluation model is obtained, the second failure evaluation model after parameter adjustment can accurately calculate the actual stress change condition of the current suspended pipeline, and the pipe information and the river information are input into the second failure evaluation model, so that output data are obtained.
Further, because the river crossing pipeline under the action of flood is stressed complicated, the stress to which the pipeline is subjected is influenced by dead weight, soil gravity, running internal pressure, flood load and soil constraint in the process from a buried process to a complete suspension process, in order to accurately obtain the actual stress to which the suspension pipeline is subjected under the action of flood, the pipeline stress to which the suspension pipeline is subjected is calculated by measuring the real-time flood flow rate, the suspension length of the pipeline, the wall thickness of the pipeline, the running internal pressure, the undercut angle, the pipeline burial depth, the suspension height of the pipeline, the internal flow rate and the pipeline conveying medium of the suspension pipeline to be evaluated, so that after the yield evaluation submodel obtains the pipeline information and the river information, the pipeline stress of the suspension pipeline to be evaluated is calculated by the following modes:
wherein U is 1 Representing the pipeline stress of the suspended pipeline to be evaluated, v representing the real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, t represents the wall thickness of the pipeline, and t 0 Represents the maximum pipe wall thickness, P represents the pipe running internal pressure, P 0 Represents the maximum operating internal pressure of the pipeline, theta represents the undercut angle of the covering soil, and theta 0 Represents the maximum earth-covering undercut angle, H represents the pipeline burial depth, H 0 Represents the maximum pipeline burial depth, h represents the pipeline suspension height, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, a n And (3) obtaining an nth model parameter value corresponding to the suspended pipeline to be evaluated in the yield evaluation sub-model.
Further, when the river crossing pipeline is in a complete suspended state, the flood washing can cause the two sides of the suspended pipeline to alternately generate vortexes separated from the surface of the structure, so that the pipeline generates vortex-induced vibration. When the vortex-induced vibration frequency is close to the pipeline natural vibration frequency, the pipeline is easy to generate resonance phenomenon. The resonance phenomenon causes lateral vibrations of the suspended section of the pipe, and over time, the suspended pipe structure is destroyed by destabilization. In order to accurately calculate the natural vibration frequency of the pipeline, the natural vibration frequency of the pipeline to be evaluated is calculated by measuring the real-time flood flow rate, the pipeline suspension length, the pipeline suspension height, the internal flow rate and the pipeline conveying medium of the pipeline to be evaluated, so that after the vibration evaluation submodel obtains the pipeline information and the river information, the natural vibration frequency of the pipeline to be evaluated is calculated by the following modes:
wherein U is 2 Representing the natural vibration frequency of the suspended pipeline to be evaluated, v representing the real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, h represents the suspension height of the pipeline, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, b i And (3) obtaining an ith model parameter value corresponding to the suspended pipeline to be evaluated in the vibration evaluation sub-model.
Further, in order to accurately obtain the vortex-induced vibration frequency of the pipeline, the vortex-induced vibration frequency of the pipeline to be evaluated is calculated by measuring the real-time flood flow rate, the pipeline suspension length, the pipeline suspension height, the internal flow rate and the pipeline conveying medium of the pipeline to be evaluated, so that after the fatigue evaluation submodel obtains the pipeline information and the river information, the vortex-induced vibration frequency of the pipeline to be evaluated is calculated by the following method:
wherein U is 3 Representing vortex-induced vibration frequency of the suspended pipeline to be evaluated, v representing real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, h represents the suspension height of the pipeline, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, c j And the j-th model parameter value corresponding to the suspended pipeline to be evaluated in the fatigue evaluation sub-model is obtained.
Furthermore, the suspended pipeline can generate displacement under the effect of yield stress, and when the displacement of the suspended pipeline exceeds the limit of the bearing capacity of the pipeline, the pipeline can be broken and failed, and in order to accurately evaluate whether the suspended pipeline has failure risk caused by the displacement, the data acquisition unit is further used for acquiring pipeline offset data according to the suspended pipeline to be evaluated; the failure evaluation model further comprises an offset estimation sub-model, wherein the offset estimation sub-model is used for calculating the limit offset of the suspended pipeline to be evaluated according to the river information and the pipeline information; the data analysis unit inputs the pipeline information and the river information into the failure evaluation model, analyzes the pipeline deviation data and the output data, and obtains a pipeline safety evaluation result; after the data analysis unit calculates and obtains the limit deviation of the suspended pipeline to be evaluated, if the measured pipeline deviation data is smaller than the pipeline limit deviation, the pipeline is free from failure risk caused by displacement; if the measured pipeline deviation data is greater than or equal to the pipeline limit deviation, the pipeline is at failure risk caused by displacement.
Further, in order to accurately calculate the limit value of the deflection of different pipelines under the action of flood, after the deflection estimation sub-model obtains the pipeline information and the river information, the limit deflection of the suspended pipeline to be evaluated is calculated by the following method:
wherein U is 4 The ultimate deviation of the suspended pipeline to be evaluated is represented, L represents the suspended length of the pipeline, D represents the diameter of the pipeline, P represents the running internal pressure of the pipeline, and P 0 Representing the maximum operating internal pressure of the pipeline, v representing the real-time flood flow rate, v 0 Represents the maximum flood flow rate, d k And the k model parameter values corresponding to the partial estimation sub-model and the suspended pipeline to be evaluated are obtained.
Furthermore, in order to ensure the safety performance of the long-distance pipeline, the actual stress born by the suspended section of the long-distance pipeline is smaller than or equal to the maximum allowable stress of the pipeline, and the failure risk of the pipeline is pre-warned when the stress born by the pipeline is close to the maximum allowable stress of the pipeline, so that the safety evaluation system of the suspended section of the pipeline further comprises a pre-warning analysis unit, the safety evaluation system of the suspended section of the pipeline further comprises a pre-warning analysis unit for determining a threshold value and updating the failure evaluation model according to the threshold value, wherein the threshold value is used for representing the ultimate yield stress of the suspended pipeline to be evaluated.
In order to achieve the above object, the present invention further provides a pipeline suspended section safety evaluation device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements any one of the steps of the pipeline suspended section safety evaluation system when executing the computer program.
To achieve the above object, the present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of any one of the above-described pipeline suspended section safety evaluation systems.
According to one or more technical schemes provided by the invention, pipeline information and river information corresponding to the suspended pipeline to be evaluated are obtained based on the suspended pipeline to be evaluated, and after a failure evaluation model is established, pipeline stress, self-vibration frequency and vortex-induced vibration frequency of the suspended pipeline to be evaluated are obtained according to the failure evaluation model; meanwhile, the model is optimized and parameter-adjusted according to different river channels and pipelines, so that the accuracy of model evaluation is improved; the actual stress change condition of the suspended section pipeline of the river crossing pipeline under the influence of flood is mastered through analysis of the model output result, and whether the suspended pipeline has potential safety hazards under the effect of flood is accurately judged.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention;
FIG. 1 is a schematic diagram of a pipeline suspended section safety evaluation system in the invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. In addition, the embodiments of the present invention and the features in the embodiments may be combined with each other without collision.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than within the scope of the description, and the scope of the invention is therefore not limited to the specific embodiments disclosed below.
Example 1
Referring to fig. 1, a first embodiment of the present invention provides a system for evaluating the safety of a suspended section of a pipeline, the system comprising:
the data acquisition unit is used for acquiring data based on the suspension pipeline to be evaluated, and acquiring pipeline information and river information corresponding to the suspension pipeline to be evaluated;
the model construction unit is used for establishing a failure evaluation model, wherein the failure evaluation model comprises a yield evaluation sub-model, a vibration evaluation sub-model and a fatigue evaluation sub-model, and the yield evaluation sub-model is used for calculating the pipeline stress of the suspended pipeline to be evaluated according to the river information and the pipeline information; the vibration evaluation sub-model is used for calculating the self-vibration frequency of the suspension pipeline to be evaluated according to the river information and the pipeline information; the fatigue evaluation sub-model is used for calculating vortex-induced vibration frequency of the suspended pipeline to be evaluated according to the river information and the pipeline information;
the data analysis unit is used for inputting the pipeline information and the river information into the failure evaluation model to obtain output data; and analyzing the output data to obtain a pipeline safety evaluation result.
The output data comprises pipeline stress, self-vibration frequency and vortex-induced vibration frequency of the suspended pipeline to be evaluated, and the specific method for analyzing the output data by the data analysis unit comprises the following steps:
judging the magnitude relation between the pipeline stress of the to-be-evaluated suspended pipeline and the standard pipeline stress, and if the pipeline stress of the to-be-evaluated suspended pipeline is smaller than the standard pipeline stress, judging that the to-be-evaluated suspended pipeline has no yield damage risk; if the pipeline stress of the to-be-evaluated suspended pipeline is larger than or equal to the standard pipeline stress, the to-be-evaluated suspended pipeline has a yield damage risk; wherein, the standard pipeline stress is determined according to actual needs, and the embodiment is not particularly limited herein;
judging the difference value between the natural vibration frequency of the to-be-evaluated suspended pipeline and the vortex-induced vibration frequency of the to-be-evaluated suspended pipeline, and if the difference value is larger than a standard difference value, judging that the to-be-evaluated suspended pipeline has no resonance damage risk; if the difference is smaller than or equal to the standard difference, the suspension pipeline to be evaluated is considered to have resonance damage risk, wherein the standard difference is determined according to actual needs, and the embodiment is not particularly limited;
judging the magnitude relation between the natural vibration frequency of the suspension pipeline to be evaluated and the standard vibration frequency, and if the natural vibration frequency of the suspension pipeline to be evaluated is smaller than the standard vibration frequency, judging that the suspension pipeline to be evaluated has no fatigue damage risk; if the natural vibration frequency of the suspended pipeline to be evaluated is greater than or equal to the standard vibration frequency, the suspended pipeline to be evaluated is considered to have fatigue damage risk, wherein the standard vibration frequency is determined according to actual needs, and the embodiment is not particularly limited.
In this embodiment, the pipe information includes pipe information and pipe condition information, the river information includes river channel information and river condition information, and the pipe suspension safety evaluation system further includes:
the data storage unit is used for establishing a database, and the database is used for storing the pipe information, the river channel information and a failure evaluation model corresponding to the pipe information and the river channel information;
the data analysis unit is used for matching pipe information and river channel information corresponding to the suspended pipeline to be evaluated with data stored in the database, if matching is successful, a first failure evaluation model is obtained, and the pipeline information and the river information are input into the first failure evaluation model to obtain output data;
and if the matching fails, adjusting parameters of the failure evaluation model according to the pipe information and the river channel information to obtain a second failure evaluation model, and inputting the pipe information and the river information into the second failure evaluation model to obtain output data.
The river information includes river channel information and river condition information, the river channel information is used for describing river channel characteristics corresponding to the suspended pipeline to be evaluated, including but not limited to a maximum flood flow rate, a maximum earthing undercut angle and a maximum pipeline burial depth of the river channel, the river channel information is determined according to a river channel actually erected by the suspended pipeline to be evaluated, and the embodiment is not specifically limited herein.
The river condition information is used for describing real-time characteristics of the river channel corresponding to the suspended pipeline to be evaluated, including but not limited to real-time flood flow rate of the river channel, soil covering undercut angle and pipeline burial depth, and is determined according to the actual condition of the river channel erected by the suspended pipeline to be evaluated, and the embodiment is not particularly limited herein.
The pipe information includes pipe information and pipe condition information, the pipe information is used for describing characteristics of the suspended pipe to be evaluated, including but not limited to a maximum pipe wall thickness, a maximum running internal pressure and a maximum pipe internal flow rate, the pipe information is determined according to an actual type of the suspended pipe to be evaluated, and the embodiment is not limited specifically herein.
The pipe condition information is used for describing real-time characteristics of the pipe corresponding to the suspended pipe to be evaluated, including but not limited to actual pipe wall thickness, actual running internal pressure of the pipe and actual internal flow rate of the pipe, and the pipe information is determined according to actual conditions, and the embodiment is not limited specifically herein.
In this embodiment, after the yield evaluation sub-model obtains the pipeline information and the river information, the pipeline stress of the suspended pipeline to be evaluated is calculated by:
wherein U is 1 Representing the pipeline stress of the suspended pipeline to be evaluated, v representing the real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, t represents the wall thickness of the pipeline, and t 0 Represents the maximum pipe wall thickness, P represents the pipe running internal pressure, P 0 Represents the maximum operating internal pressure of the pipeline, theta represents the undercut angle of the covering soil, H represents the burial depth of the pipeline and H 0 Represents the maximum pipeline burial depth, h represents the pipeline suspension height, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, a n And (3) obtaining an nth model parameter value corresponding to the suspended pipeline to be evaluated in the yield evaluation sub-model.
Specifically, in this embodiment, after the failure evaluation model is tuned, the yield evaluation sub-model calculates a pipeline stress formula of the pipeline, which specifically includes:
establishing a pipeline model, estimating actual stress of a model pipeline under different flood flow rates through von Mises stress equation, verifying the above formula through the estimation result, wherein the specific verification result is shown in table 1, calculating the correlation coefficient R=0.913 of the result and the pipeline maximum von Mises stress equation, and squaring the correlation coefficient R 2 The adjusted determination coefficient is 0.833, the correlation coefficient and the determination coefficient are larger, which indicates that the calculation result accurately reflects the pipeline stress of the suspended pipeline under the action of flood.
TABLE 1 yield evaluation submodel checklist
In this embodiment, after the vibration evaluation sub-model obtains the pipeline information and the river information, the self-vibration frequency of the suspended pipeline to be evaluated is calculated by:
wherein U is 2 Representing the natural vibration frequency of the suspended pipeline to be evaluated, v representing the real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, h represents the suspension height of the pipeline, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, b i And (3) obtaining an ith model parameter value corresponding to the suspended pipeline to be evaluated in the vibration evaluation sub-model.
Specifically, in this embodiment, after the failure evaluation model is tuned, the self-vibration frequency of the pipeline is calculated by the vibration evaluation sub-model specifically as follows:
establishing a suspended pipeline model, estimating the self-vibration frequency of the pipeline under different flood flow rates according to the model, and verifying the above formula through an estimation result, wherein the specific verification result is shown in a table 2, the correlation coefficient R=0.999, and the square R of the correlation coefficient 2 The determination coefficient after adjustment is 0.999, and the correlation coefficient and the determination coefficient are larger, which indicates that the calculation result accurately reflects the self-oscillation frequency of the suspended pipeline under the action of flood.
Table 2 vibration evaluation submodel test chart
In this embodiment, after the fatigue evaluation sub-model obtains the pipeline information and the river information, the vortex-induced vibration frequency of the suspended pipeline to be evaluated is calculated by:
wherein U is 3 Representing vortex-induced vibration frequency of the suspended pipeline to be evaluated, v representing real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, h represents the suspension height of the pipeline, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, c j And the j-th model parameter value corresponding to the suspended pipeline to be evaluated in the fatigue evaluation sub-model is obtained.
Specifically, in this embodiment, after the failure evaluation model is tuned, the vortex-induced vibration frequency of the pipeline is calculated by the fatigue evaluation sub-model specifically as follows:
establishing a suspended pipeline model, estimating vortex-induced vibration frequencies of the pipeline under different flood flow rates according to the model, and verifying the above formula through an estimation result, wherein the specific verification result is shown in table 3, the correlation coefficient R=0.966, and the square R of the correlation coefficient 2 The adjusted decision coefficient is 0.934, and the correlation coefficient and the decision coefficient are larger, which indicates that the calculation result accurately reflects the vortex-induced vibration frequency of the suspended pipeline under the action of flood.
TABLE 3 fatigue evaluation submodel test chart
In this embodiment, the data acquisition unit is further configured to obtain pipe offset data according to the suspended pipe to be evaluated; the failure evaluation model further comprises an offset estimation sub-model, wherein the offset estimation sub-model is used for calculating the limit offset of the suspended pipeline to be evaluated according to the river information and the pipeline information; and the data analysis unit inputs the pipeline information and the river information into the failure evaluation model, analyzes the pipeline deviation data and the output data, and obtains a pipeline safety evaluation result.
In this embodiment, after the deviation estimation sub-model obtains the pipeline information and the river information, the limit deviation of the suspended pipeline to be evaluated is calculated by:
wherein U is 4 The ultimate deviation of the suspended pipeline to be evaluated is represented, L represents the suspended length of the pipeline, D represents the diameter of the pipeline, P represents the running internal pressure of the pipeline, and P 0 Representing the maximum operating internal pressure of the pipeline, v representing the real-time flood flow rate, v 0 Represents the maximum flood flow rate, d k And the k model parameter values corresponding to the partial estimation sub-model and the suspended pipeline to be evaluated are obtained.
Specifically, in this embodiment, after the failure evaluation model is tuned, the calculating the limit deviation of the pipeline by the deviation estimation sub-model specifically includes:
establishing a suspended pipeline model, estimating the limit deviation of the pipeline under different flood flow rates according to the model, and verifying the above formula through the estimation result, wherein the specific verification result is shown in table 4, and the correlation coefficient R=0.9635 and the correlation coefficientSquare R 2 The adjusted decision coefficient is 0.9284, and the correlation coefficient and the decision coefficient are larger, which indicates that the calculation result accurately reflects the limit deviation of the suspended pipeline under the action of flood.
Table 4 partial estimator model test table
Specifically, after the data analysis unit obtains the limit deviation of the suspended pipeline to be evaluated according to the deviation estimation submodel, the specific method for analyzing the pipeline output data and the output data is as follows:
judging the size relation between the pipeline deviation data and the pipeline limit deviation, if the pipeline deviation data is smaller than the pipeline limit deviation, the pipeline is free from failure risk caused by displacement; if the pipeline deviation data is greater than or equal to the pipeline limit deviation, the pipeline is at failure risk caused by displacement.
In this embodiment, the system for evaluating the safety of the suspended section of the pipeline further includes an early warning analysis unit, configured to determine a threshold value, and update the failure evaluation model according to the threshold value, where the threshold value is used to represent a limiting yield stress of the suspended pipeline to be evaluated.
In order to ensure the safety performance of the pipeline, the pipeline stress should be lower than or equal to the maximum allowable stress of the pipeline, namely the maximum operating internal pressure of the pipeline, the preferred value of the threshold is 90% of the maximum allowable stress of the pipeline, specifically, taking an X80 steel pipe as an example, the maximum operating internal pressure of the X80 steel pipe is 555MPa, and the maximum allowable stress is 499.5MPa.
Example two
Referring to fig. 1, a second embodiment of the present invention provides a pipeline suspended section safety evaluation device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the functions of the pipeline suspended section safety evaluation system according to the first embodiment when executing the computer program.
Example III
The third embodiment of the invention provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the function of the pipeline suspended section safety evaluation system when being executed by a processor.
The processor may be a central processing unit (CPU, central Processing Unit), other general purpose processors, digital signal processors (digital signal processor), application specific integrated circuits (Application Specific Integrated Circuit), off-the-shelf programmable gate arrays (Field programmable gate array) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or any conventional processor.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the pipeline suspended section safety evaluation system of the invention by running or executing the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card, secure digital card, flash memory card, at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The pipeline suspended section safety evaluation system, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above-described embodiments, or may be stored in a computer readable storage medium by a computer program, which when executed by a processor, implements the steps of the method embodiments described above. Wherein the computer program comprises computer program code, object code forms, executable files, or some intermediate forms, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, a point carrier signal, a telecommunication signal, a software distribution medium, and the like. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the legislation and the patent practice in the jurisdiction.
Having described the basic concept of the invention, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, those skilled in the art will appreciate that the various aspects of the specification can be illustrated and described in terms of several patentable categories or circumstances, including any novel and useful procedures, machines, products, or materials, or any novel and useful modifications thereof. Accordingly, aspects of the present description may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the specification may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.
The computer storage medium may contain a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take on a variety of forms, including electro-magnetic, optical, etc., or any suitable combination thereof. A computer storage medium may be any computer readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or a combination of any of the foregoing.
The computer program code necessary for operation of portions of the present description may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C ++, c#, vb net, python and the like, a conventional programming language such as C language, visual Basic, fortran 2003, perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, ruby and Groovy, or other programming languages and the like. The program code may execute entirely on the user's computer or as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or the use of services such as software as a service (SaaS) in a cloud computing environment.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the present description. Indeed, less than all of the features of a single embodiment disclosed above.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. The utility model provides a pipeline unsettled section safety evaluation system which characterized in that, pipeline unsettled section safety evaluation system includes:
the data acquisition unit is used for acquiring data based on the suspension pipeline to be evaluated, and acquiring pipeline information and river information corresponding to the suspension pipeline to be evaluated;
the model construction unit is used for establishing a failure evaluation model, wherein the failure evaluation model comprises a yield evaluation sub-model, a vibration evaluation sub-model and a fatigue evaluation sub-model, and the yield evaluation sub-model is used for calculating the pipeline stress of the suspended pipeline to be evaluated according to the river information and the pipeline information; the vibration evaluation sub-model is used for calculating the self-vibration frequency of the suspension pipeline to be evaluated according to the river information and the pipeline information; the fatigue evaluation sub-model is used for calculating vortex-induced vibration frequency of the suspended pipeline to be evaluated according to the river information and the pipeline information;
the data analysis unit is used for inputting the pipeline information and the river information into the failure evaluation model to obtain output data; analyzing the output data to obtain a pipeline safety evaluation result;
the pipeline information comprises pipe information and pipe condition information, the river information comprises river channel information and river condition information, and the pipeline suspension safety evaluation system further comprises:
the data storage unit is used for establishing a database, and the database is used for storing the pipe information, the river channel information and a failure evaluation model corresponding to the pipe information and the river channel information;
the data analysis unit is used for matching pipe information and river channel information corresponding to the suspended pipeline to be evaluated with data stored in the database, if matching is successful, a first failure evaluation model is obtained, and the pipeline information and the river information are input into the first failure evaluation model to obtain output data;
if the matching fails, parameter adjustment is carried out on the failure evaluation model according to the pipe information and the river channel information to obtain a second failure evaluation model, and the pipe information and the river information are input into the second failure evaluation model to obtain output data;
after the yield evaluation sub-model obtains the pipeline information and the river information, calculating the pipeline stress of the suspended pipeline to be evaluated by the following mode:
wherein U is 1 Representing the pipeline stress of the suspended pipeline to be evaluated, v representing the real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, t represents the wall thickness of the pipeline, and t 0 Represents the maximum pipe wall thickness, P represents the pipe running internal pressure, P 0 Represents the maximum operating internal pressure of the pipeline, theta represents the undercut angle of the covering soil, and theta 0 Represents the maximum earth-covering undercut angle, H represents the pipeline burial depth, H 0 Represents the maximum pipeline burial depth, h represents the pipeline suspension height, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, a n The model parameter value of the yield evaluation sub-model corresponding to the suspended pipeline to be evaluated is the nth model parameter value;
after the vibration evaluation sub-model obtains the pipeline information and the river information, the self-vibration frequency of the suspended pipeline to be evaluated is calculated by the following method:
wherein U is 2 Representing the natural vibration frequency of the suspended pipeline to be evaluated, v representing the real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, h represents the suspension height of the pipeline, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, b i Corresponding to the suspended pipeline to be evaluated in the vibration evaluation sub-modelThe i-th model parameter value of (2);
after the fatigue evaluation sub-model obtains the pipeline information and the river information, the vortex-induced vibration frequency of the suspended pipeline to be evaluated is calculated by the following method:
wherein U is 3 Representing vortex-induced vibration frequency of the suspended pipeline to be evaluated, v representing real-time flood flow velocity, v 0 Represents the maximum flood flow rate, L represents the suspended length of the pipeline, L 0 Represents the maximum suspension length of the pipeline, h represents the suspension height of the pipeline, h 0 Represents the maximum suspension height of the pipeline, u represents the flow velocity of the inner flow of the pipeline, u 0 Represents the maximum internal flow rate of the pipeline, m represents the pipeline conveying medium, c j And the j-th model parameter value corresponding to the suspended pipeline to be evaluated in the fatigue evaluation sub-model is obtained.
2. The pipeline suspended section safety evaluation system according to claim 1, wherein the data acquisition unit is further configured to obtain pipeline offset data according to the suspended pipeline to be evaluated; the failure evaluation model further comprises an offset estimation sub-model, wherein the offset estimation sub-model is used for calculating the limit offset of the suspended pipeline to be evaluated according to the river information and the pipeline information; and the data analysis unit inputs the pipeline information and the river information into the failure evaluation model, analyzes the pipeline deviation data and the output data, and obtains a pipeline safety evaluation result.
3. The pipeline suspended section safety evaluation system according to claim 2, wherein after the deviation estimation sub-model obtains the pipeline information and the river information, the limit deviation of the suspended pipeline to be evaluated is calculated by:
wherein U is 4 The ultimate deviation of the suspended pipeline to be evaluated is represented, L represents the suspended length of the pipeline, D represents the diameter of the pipeline, P represents the running internal pressure of the pipeline, and P 0 Representing the maximum operating internal pressure of the pipeline, v representing the real-time flood flow rate, v 0 Represents the maximum flood flow rate, d k And (3) obtaining a k-th model parameter value corresponding to the offset estimation sub-model and the suspension pipeline to be evaluated.
4. The pipeline suspended section safety evaluation system according to claim 1 or 2, further comprising an early warning analysis unit for determining a threshold value and updating the failure evaluation model according to the threshold value, wherein the threshold value is used for representing the ultimate yield stress of the suspended pipeline to be evaluated.
5. A pipeline suspended segment safety evaluation device comprising a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor, when executing the computer program, performs the functions of the pipeline suspended segment safety evaluation system of any one of claims 1-4.
6. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor performs the functions of the pipe-in-flight safety evaluation system according to any one of claims 1-4.
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