CN111307055B - Design method of pipeline digital twin system - Google Patents
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- CN111307055B CN111307055B CN202010138601.4A CN202010138601A CN111307055B CN 111307055 B CN111307055 B CN 111307055B CN 202010138601 A CN202010138601 A CN 202010138601A CN 111307055 B CN111307055 B CN 111307055B
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- 238000000034 method Methods 0.000 title claims abstract description 22
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- 238000001514 detection method Methods 0.000 claims abstract description 42
- 238000012544 monitoring process Methods 0.000 claims abstract description 36
- 238000006073 displacement reaction Methods 0.000 claims abstract description 31
- 238000007418 data mining Methods 0.000 claims abstract description 18
- 239000013307 optical fiber Substances 0.000 claims abstract description 12
- 230000003014 reinforcing effect Effects 0.000 claims abstract description 11
- 238000012423 maintenance Methods 0.000 claims abstract description 10
- 230000007547 defect Effects 0.000 claims description 47
- 239000002689 soil Substances 0.000 claims description 14
- 238000011161 development Methods 0.000 claims description 8
- 230000000977 initiatory effect Effects 0.000 claims description 8
- 238000004062 sedimentation Methods 0.000 claims description 7
- 238000004088 simulation Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 6
- 230000002787 reinforcement Effects 0.000 claims description 6
- 238000009659 non-destructive testing Methods 0.000 claims description 4
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- 238000009933 burial Methods 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
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- G—PHYSICS
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
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- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
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- G01K11/32—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
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- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
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Abstract
The invention belongs to the field of pipeline safety and life cycle management, and particularly relates to a design method of a pipeline digital twin system, which consists of a pipeline digital twin body, a pipeline monitoring system, a pipeline inside/outside nondestructive detection database, a pipeline design/operation maintenance database and a pipeline data mining analysis system, wherein the pipeline digital twin body forms a higher-level co-intelligence twin body through information exchange with a geological disaster twin body. The modeling of the pipeline digital twin body adopts a global-local method, takes a real-time displacement acquisition value of a pipeline monitoring system as a displacement boundary condition, and takes a strain/temperature value of a detection optical fiber as verification and correction data. The pipeline data mining analysis system is applied to promote the evolution of a pipeline digital twin body. The pipeline digital twin system can display a high-risk area of a pipeline in real time, propose internal detection requirements, recommend supplementary monitoring points, identify the falling position of a detection optical fiber, evaluate the safety margin of the pipeline, recommend a reinforcing method and predict reinforcing effects.
Description
Technical Field
The invention belongs to the field of pipeline safety and life cycle management, and particularly relates to a design method of a pipeline digital twin system.
Background
The oil gas pipeline plays a role in national energy supply, and the life cycle of the pipeline comprises the stages of pipe making, laying, joint welding, operation, geological disaster management, defect reinforcement, pipe replacement, scrapping and the like. Intrinsic safety of a pipeline over its life cycle is related to pipeline material, pipe quality, type, number, severity of defects, geographical environment, burial depth, operational age, maintenance style, operational pressure, etc. In the whole life cycle of the pipeline, magnetic flux leakage internal detection and ultrasonic internal detection can be carried out regularly, and defect nondestructive external detection is carried out on the excavated buried pipeline, but the stress state and deformation displacement of the whole pipeline cannot be displayed in real time. The invention constructs a pipeline digital twin system based on a pipeline digital twin body (developed based on a computer aided engineering software analysis system), a pipeline monitoring system, a pipeline inside/outside nondestructive testing database, a pipeline design operation maintenance database and a pipeline data mining analysis system, wherein the pipeline digital twin body and a geological disaster twin body form a higher-level co-intelligence twin body. The pipeline digital twin system has the functions of displaying the stress state and the deformation of the whole pipeline in real time, identifying the high-risk area of the pipeline, actively providing internal detection requirements, suggesting supplementary stress displacement/temperature monitoring points, identifying the falling-off position of the detection optical fiber, evaluating the safety margin of the pipeline, suggesting a defect reinforcement method, predicting reinforcement effect and the like.
Disclosure of Invention
The invention aims to provide a design method of a pipeline digital twin system. The pipeline digital twin system consists of (1) a pipeline digital twin body (developed based on a computer aided engineering software analysis system), (2) a pipeline monitoring system, (3) a pipeline inside/outside nondestructive detection database, (4) a pipeline design/operation maintenance database and (5) a pipeline data mining analysis system, wherein (1) the pipeline digital twin body and (6) the geological disaster twin body form a higher-level co-intelligence twin body. The composition, function and relationship of the pipeline digital twin system to each other are described in detail below:
(1) The mechanical model of the pipeline digital twin body adopts a global-local modeling method, the global model is established based on a physical pipeline between two valve chambers, and the physical model has the same material performance, geometric dimension shape, space trend, buried depth, defect reinforcement position, soil landslide settlement/collapse buried azimuth and the like as the physical pipeline; the local model considers the defects of the pipe body, the reinforcing structure of the pipeline, the contact stress distribution of the pipe body and the soil body, the restraint effect of the landslide/sedimentation/collapse control structure of the soil body on the pipe body and the soil body, and the like. The global model of a pipeline digital twin may comprise a continuous or intermittent multi-segment pipeline between a plurality of valve chambers, typically with the physical pipeline between two valve chambers as a single unit segment.
Further, the global model adopts a displacement value acquired in real time by a pipeline monitoring system as a displacement boundary condition, adopts a continuous strain and temperature value (meter-level spatial resolution) acquired in real time by a detection optical fiber, checks a simulation result, and corrects the global model.
And further, selecting a pipeline with proper length and soil body according to the influence range of the pipeline defect stress field, and establishing a local model of the pipeline digital twin body. The local model is required to introduce pipe residual stress, mechanical boundary conditions at two ends of the local model are from simulation results of the global model, and the type, position and geometric size information of the defects are from data information of pipeline inside/outside nondestructive detection.
Further, predicting defect initiation points according to pipeline stress simulated by the pipeline digital twin body and stress amplitude changing along with time; and predicting the defect development speed by combining the defect information of the pipeline inside/outside nondestructive detection database.
(2) The pipeline monitoring system consists of a series of sensors, a data acquisition module, detection optical fibers (strain, temperature and vibration), an optical fiber signal transceiver, a wireless signal transceiver module, a solar power supply system (in the field), a power supply, a lightning protection module and monitoring system software. The sensor comprises a strain gauge, a displacement meter and a level gauge. The strain, displacement and temperature (millimeter-level spatial resolution) of discrete monitoring points of the pipeline and the strain, temperature and vibration acceleration values (meter-level spatial resolution) of the pipeline along the line can be monitored in real time.
The digital twin body simulated pipeline high displacement and high stress area provides a basis for the installation position of a newly added sensor of the monitoring system; the pipeline temperature and axial strain distribution results simulated by the digital twin body provide a basis for identifying the falling position of the detection optical fiber; otherwise, the pipeline monitoring system is additionally provided with the acquisition information of the sensor, so that the prediction accuracy of the pipeline digital twin is further corrected, and the evolution degree of the pipeline digital twin is improved.
(3) The pipeline inside/outside nondestructive detection database comprises data information such as magnetic flux leakage defect inner detection, ultrasonic defect inner detection, stress inner detection and the like, and also comprises data information such as X-ray nondestructive defect detection, ultrasonic nondestructive defect detection, magnetic powder inspection and the like after the buried pipeline is locally excavated. And according to the detected defect type, size, position and stress information, maintaining continuous updating of the pipeline digital twin body mechanical model.
(4) The pipeline design operation maintenance database comprises pipeline design information, operation pressure/temperature, maintenance information, soil landslide/sedimentation/collapse treatment information, third party construction information and the like, and provides basic data for updating the mechanical model, constraint mode and external load of the pipeline digital twin body.
(5) The pipeline data mining analysis system establishes an association rule set of pipeline defect initiation/development factors according to a pipeline inner/outer nondestructive detection database, discrete stress/displacement/temperature monitoring information (millimeter-level spatial resolution), continuous strain/temperature/vibration information (meter-level spatial resolution), pipeline defect reinforcing information, soil landslide/sedimentation/collapse treatment information, third-party construction information and sharing information of pipeline geological disaster twins, forms a mode identification model of pipeline defect causes, and promotes evolution of pipeline digital twins.
Specifically, the above sample information employed by the pipeline data mining analysis system is classified into three types of early-stage data information, medium-stage data information, and later-stage data information. The method comprises the steps of establishing a data mining prediction model by taking early sample data as training data of data mining; the middle-term sample data is used as correction data of a data mining model; the post-sample data is used as verification data of the data mining model. The three types of data are updated sequentially along with the time increment, and the continuous evolution of the pipeline defect cause pattern recognition model is maintained.
(6) The pipeline digital twin and the geological disaster twin form a higher-level co-intelligence twin. The geological disaster twin body comprises a geographic information system, a stratum stress/displacement monitoring system, a camera security monitoring system and an unmanned aerial vehicle inspection system.
Specifically, the pipeline digital twin body provides monitored pipeline stress/displacement/temperature/vibration information for the geological disaster twin body, the geological disaster twin body provides ground subsidence/slippage/collapse monitoring information, ground stress monitoring information, soil moisture content, geographic information, camera monitoring information, unmanned plane inspection information and the like along the pipeline for the pipeline digital twin body, and the information of the two twin bodies is kept exchanged. And through sharing pipeline stress field and displacement field information simulated by the pipeline digital twin body and stratum stress field and displacement field information predicted by the geological disaster twin body, the co-intelligence of the two twin bodies is realized.
According to the defect initiation and development prediction results of the pipeline digital twin system, actively proposing the detection requirement in the pipeline; and according to the defect safety margin evaluation result of the pipeline digital twin system, providing a defect reinforcing method and predicting the reinforcing effect.
Drawings
FIG. 1 is a diagram of the architecture of a pipeline digital twin system of the present invention.
Detailed Description
In order to make the technical scheme and advantages of the present invention more apparent, the following detailed description of the embodiments of the present invention will be given with reference to the accompanying drawings.
As shown in fig. 1, a design method of a pipeline digital twin system comprises the following steps:
for a newly-built pipeline, according to pipeline design information and geographic information, a computer-aided engineering software analysis system is adopted to simulate and obtain a high-risk section of the pipeline; for in-service pipelines, determining high-risk sections of the pipelines according to the defect types, the number and the severity of the in-pipeline/out-of-pipeline nondestructive testing databases. The determination of the high risk section may also be referred to the opinion of the pipeline industry and specialists.
In the high-risk section of the pipeline, the pipeline between two valve chambers is selected as a physical pipeline unit section of a digital twin body, and a pipeline monitoring system is arranged, wherein the pipeline monitoring system comprises a series of sensors, a data acquisition module, detection optical fibers (temperature, vibration and strain), an optical fiber signal transceiver, a wireless signal transceiver module, a solar power supply system (in the field), a power supply, a lightning protection module and monitoring system software. The sensor comprises a strain gauge, a displacement meter and a level gauge. The strain, displacement and temperature (millimeter-level spatial resolution) of discrete monitoring points of the pipeline and the strain, temperature and vibration acceleration values (meter-level spatial resolution) of the pipeline along the line can be monitored in real time. The digital twin may comprise a plurality of continuous or intermittent segments of physical pipeline units. For an operational pipeline, the corresponding digital twin is called a digital clone, and both have the same intrinsic meaning.
And establishing a pipeline digital twin global pipeline-soil body geometric model according to the geometric dimension, the spatial trend and the buried depth of the pipeline design, giving mechanical properties, upper physical properties, operating pressure, displacement boundary conditions of a valve chamber end and the like to the pipeline material to the model, and constructing the pipeline digital twin global model.
The global model adopts a real-time displacement value acquired by a pipeline monitoring system as a displacement boundary condition, adopts a continuous strain and temperature value (meter-level spatial resolution) acquired by a detection optical fiber in real time, checks a stress simulation result, and corrects the global model.
The local model of the pipeline digital twin body needs to consider the residual stress of the pipe, the mechanical boundary conditions at two ends of the pipeline digital twin body come from the calculation result of the global model, and the type, position and geometric size information of the defects come from the data of the pipeline inside/outside nondestructive detection.
Predicting possible defect initiation points according to pipeline stress and stress amplitude changing along with time of pipeline digital twin body simulation; and predicting the defect development speed by combining the defect information of the pipeline inside/outside nondestructive detection database.
The digital twin body simulated pipeline high displacement and high stress area provides a basis for the installation position of a newly added sensor of the monitoring system; the pipeline temperature and axial strain distribution results simulated by the digital twin body provide a basis for identifying the falling position of the detection optical fiber; otherwise, the pipeline monitoring system is additionally provided with the acquisition information of the sensor, so that the prediction accuracy of the pipeline digital twin is further corrected, and the evolution degree of the pipeline digital twin is improved.
The pipeline reinforcement structure information, the soil landslide/sedimentation/collapse control information, the third party construction information and the like provided by the pipeline design/operation maintenance database provide basic data for updating the mechanical model, the constraint mode and the external load of the pipeline digital twin body; based on the type, size and position information of the defects in the pipeline inside/outside nondestructive testing database, updating the pipeline local model, and completing one round of model evolution.
The pipeline data mining analysis system establishes an association rule set of pipeline defect initiation/development factors according to a pipeline inner/outer nondestructive detection database, discrete stress/displacement/temperature monitoring information (millimeter-level spatial resolution), continuous strain/temperature/vibration information (meter-level spatial resolution), pipeline defect reinforcing information, soil landslide/sedimentation/collapse treatment information, second-party construction information and shared information of pipeline geological disaster twins, forms a mode identification model of pipeline defect causes, and promotes evolution of pipeline digital twins.
The above sample information employed by the pipeline data mining analysis system is classified into three types of early-stage data information, medium-stage data information, and later-stage data information. The method comprises the steps of establishing a data mining prediction model by taking early sample data as training data of data mining; the middle-term sample data is used as correction data of a data mining model; the later sample data is used as prediction verification data of a data mining model. The three types of data are updated sequentially along with the time increment, and the continuous evolution of the pipeline pattern recognition model is maintained.
The pipeline digital twin and the geological disaster twin form a higher-level co-intelligence twin. The geological disaster twin body comprises a geographic information system, a stratum stress/displacement monitoring system, a camera security monitoring system and an unmanned aerial vehicle inspection system. The pipeline digital twin body provides stress/displacement/temperature/vibration monitoring information of the pipeline for the geological disaster twin body, and the geological disaster twin body provides ground subsidence/slippage/collapse monitoring information, ground stress monitoring information, soil moisture content, geographic information, camera monitoring information, unmanned aerial vehicle inspection information and the like along the pipeline for the pipeline digital twin body, so that the information of the two twin bodies is kept exchanged. And through sharing pipeline stress field and displacement field information simulated by the pipeline digital twin body and stratum stress field and displacement field information predicted by the geological disaster twin body, the co-intelligence of the two twin bodies is realized.
According to the defect initiation and development prediction results of the pipeline digital twin system, actively proposing the detection requirement in the pipeline; and according to the defect safety margin evaluation result of the pipeline digital twin system, providing a defect reinforcing method and predicting the reinforcing effect.
Claims (5)
1. The design method of the pipeline digital twin system is characterized in that the pipeline digital twin system consists of a pipeline digital twin body, a pipeline monitoring system, a pipeline inside/outside nondestructive detection database, a pipeline design/operation maintenance database and a pipeline data mining analysis system, wherein the pipeline digital twin body and a geological disaster twin body form a higher-level co-intelligence twin body;
the mechanical model of the pipeline digital twin body adopts a global-local modeling method, the global model adopts a displacement value acquired in real time by a pipeline monitoring system as a displacement boundary condition, adopts continuous strain and temperature values acquired in real time by a detection optical fiber, checks a simulation result and corrects the global model; the defect type, position and geometric size information required by the local model modeling are all data information from the pipeline inside/outside nondestructive testing, so that the pipeline digital twin body is continuously updated;
the positions and the number of the newly added sensors of the pipeline monitoring system depend on the high-displacement and high-stress areas of the pipeline digital twin body simulation;
the pipeline inside/outside nondestructive detection database comprises data information of magnetic flux leakage defect inner detection, ultrasonic defect inner detection and stress inner detection, and also comprises data information of X-ray nondestructive defect detection, ultrasonic nondestructive defect detection and magnetic powder inspection after the buried pipeline is locally excavated, so that the pipeline inside/outside nondestructive detection database is kept continuously updated;
the pipeline design/operation maintenance database continuously provides operation pressure/temperature, maintenance, soil landslide/sedimentation/collapse management and third party construction information for the pipeline digital twin body, and provides basic data for updating the mechanical model, constraint mode and external load of the pipeline digital twin body;
the pipeline data mining analysis system establishes an association rule set of pipeline defect initiation/development factors according to a pipeline inner/outer nondestructive detection database, pipeline stress/displacement monitoring information, pipeline defect reinforcement information, soil landslide/sedimentation/collapse treatment information, third-party construction information and shared information of pipeline geological disaster twins to form a mode identification model of pipeline defect causes;
and actively proposing the detection requirement in the pipeline according to the defect initiation and development prediction result of the pipeline digital twin system.
2. The method for designing a pipeline digital twin system according to claim 1, wherein: the local model of the digital twin body of the pipeline needs to introduce residual stress of the pipeline, and the type, position and geometric size of the defect are derived from data of nondestructive detection inside/outside the pipeline.
3. The method for designing a pipeline digital twin system according to claim 1, wherein: and according to the defect safety margin evaluation result of the pipeline digital twin system, providing a defect reinforcing method and predicting the reinforcing effect.
4. The method for designing a pipeline digital twin system according to claim 1, wherein: the pipeline stress field and displacement field information of the pipeline digital twin body are shared for real-time simulation, and the stratum stress field and displacement field information predicted by the geological disaster twin body are shared for forming a higher-level co-intelligence twin body.
5. The method for designing a pipeline digital twin body according to claim 1, which is applicable to not only the digital twin body of a newly built pipeline, but also the digital clone body of an in-service pipeline; the method is suitable for not only buried pipelines, but also station pipelines.
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| CN112728416B (en) * | 2020-12-18 | 2022-12-27 | 苏州热工研究院有限公司 | High-temperature high-pressure power pipeline state monitoring system |
| CN113837451B (en) * | 2021-09-06 | 2024-02-27 | 中控创新(北京)能源技术有限公司 | Method, device, equipment and storage medium for constructing digital twin body of oil and gas pipeline |
| CN113919106B (en) * | 2021-09-29 | 2024-05-14 | 大连理工大学 | Underground pipeline structure safety evaluation method based on augmented reality and digital twinning |
| CN115221704B (en) * | 2022-07-18 | 2023-06-09 | 应急管理部国家自然灾害防治研究院 | Geological disaster deduction method and system based on digital twin simulation platform |
| CN116129032B (en) * | 2022-10-02 | 2023-07-25 | 重庆蕴明科技股份有限公司 | Three-dimensional visual management system based on digital twin and construction method |
| CN116357899A (en) * | 2023-03-06 | 2023-06-30 | 上海市政工程设计研究总院（集团）有限公司 | Digital twin safety evaluation system and method for ultra-large caliber flexible pipeline |
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