CN114239288A - Method and device for constructing pipeline digital twin body, storage medium and processor - Google Patents
Method and device for constructing pipeline digital twin body, storage medium and processor Download PDFInfo
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Abstract
The embodiment of the application provides a method and a device for constructing a pipeline digital twin body, a storage medium and a processor. The method for constructing the pipeline digital twin body comprises the following steps: acquiring actual attribute data and an actual digital model of a pipeline entity system; carrying out digital mapping on the actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model; respectively calling a data analysis algorithm, a simulation mechanism model and a historical scheme from a preset database, a preset mechanism library and a preset scheme library according to an input instruction; loading a data analysis algorithm, a simulation mechanism model and a historical scheme into a pipeline digital twin original model to construct a pipeline digital twin application model; and constructing a pipeline digital twin body according to the pipeline digital twin body original model and the pipeline digital twin body application model.
Description
Technical Field
The application relates to the technical field of pipeline systems, in particular to a method and a device for constructing a pipeline digital twin body, a storage medium and a processor.
Background
With the continuous development of the information age, the twin of figures is becoming a new tool for people to deconstruct, describe and know the physical world. As a novel digital technical solution, the digital twin brings a new wave for the digital transformation of society and enterprises and pushes the digital transformation work of various organizations to a new height, and the current digital twin has been paid attention by more than ten industries and has developed application practices. In addition to being noticed and applied in the manufacturing field, digital twin has been studied in the fields of electric power, medical health, city management, railway transportation, environmental protection, automobiles, ships, buildings, etc. in recent years, and exhibits great application potential.
At present, in the oil and gas long-distance pipeline industry, certain exploration work on the research of pipeline digital twin is performed primarily by developing intelligent pipeline construction. However, the existing pipeline digital twin construction is mainly biased to digital display of data, a unified method flow is lacked to guide the pipeline digital twin construction and deployment, and the constructed pipeline digital twin is only limited to a single technology extension, so that the deep integration and application of technologies such as artificial intelligence, simulation, big data, cloud computing and the like cannot be realized, and the requirement of pipeline multi-dimensional production business cannot be met.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, an apparatus, a storage medium, and a processor for constructing a pipeline digital twin.
In order to achieve the above object, a first aspect of the present application provides a method of constructing a pipeline digital twin, including:
acquiring actual attribute data and an actual digital model of a pipeline entity system;
carrying out digital mapping on the actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model;
respectively calling a data analysis algorithm, a simulation mechanism model and a historical scheme from a preset database, a preset mechanism library and a preset scheme library according to an input instruction;
loading a data analysis algorithm, a simulation mechanism model and a historical scheme into a pipeline digital twin original model to construct a pipeline digital twin application model;
and constructing a pipeline digital twin body according to the pipeline digital twin body original model and the pipeline digital twin body application model.
In the embodiment of the application, the method for constructing the pipeline digital twin original model by digitally mapping the actual attribute data and the actual digital model by using a digital twin technology comprises the following steps:
respectively preprocessing the actual attribute data and the actual digital model;
and carrying out digital mapping on the preprocessed actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model.
In an embodiment of the present application, the method further includes:
outputting twin attribute data and a twin digital model through a pipeline digital twin original model;
adjusting the actual attribute data according to the twin attribute data and adjusting the actual digital model according to the twin digital model;
and constructing a pipeline digital twin original model based on the adjusted actual attribute data and the adjusted actual digital model.
In an embodiment of the present application, the method further includes:
outputting at least one of a line management scheme, an equipment management scheme, an oil and gas distribution scheme and an emergency decision scheme through the pipeline digital twin.
In an embodiment of the present application, a pipeline entity system includes at least one of a line pipeline body, a weld, an anti-corrosion layer, a line-laying environment, a process pipeline, a valve, a flow meter, a storage tank, and an accessory device.
In the embodiment of the application, the actual attribute data includes at least one of actual pipe attribute data, actual welding parameter data, actual environment parameter data, actual pipeline burial depth data, actual pipeline strike data and actual conveying medium attribute data of the pipeline entity system.
In an embodiment of the present application, the actual digital model includes at least one of an actual CAD model, an actual CAE model, an actual BIM model, an actual SP3D model, and an actual PDMS model of the piping entity system.
In an embodiment of the present application, the simulation mechanism model includes at least one of a pipe simulation structural mechanics model, a pipe simulation hydromechanics model, and a pipe simulation thermodynamic model.
In an embodiment of the present application, the historical solution includes at least one of an equipment maintenance historical solution, a line maintenance historical solution, and a process operation historical solution.
A second aspect of the present application provides a processor configured to perform the above-mentioned method of constructing a pipe digital twin.
The third aspect of the present application provides an apparatus for constructing a pipeline digital twin body, comprising:
a data and model resource pool configured to hold actual attribute data and an actual digitized model of the pipeline entity system;
a preset database configured to store a data analysis algorithm of the pipeline entity system;
a preset mechanism library configured to store a simulation mechanism model of the pipeline entity system;
a preset scheme library configured to store historical schemes of the pipeline entity system; and
the processor described above.
A fourth aspect of the present application provides a machine-readable storage medium having stored thereon instructions that, when executed by a processor, cause the processor to be configured to perform the above-described method of constructing a pipe digital twin.
According to the technical scheme, the pipeline digital twin body original model with the pipeline full service chain data unified with the model standard can be constructed by acquiring the actual attribute data and the actual digital model of the pipeline entity system, digitally mapping the actual attribute data and the actual digital model by using a digital twin technology to construct a pipeline digital twin body original model, then respectively calling a data analysis algorithm, a simulation mechanism model and a historical scheme from a preset database, a preset mechanism library and a preset scheme library according to an input instruction, loading the data analysis algorithm, the simulation mechanism model and the historical scheme into the pipeline digital twin body original model to construct a pipeline digital twin body application model, and then constructing the pipeline digital twin body original model according to the pipeline digital twin body original model and the pipeline digital twin body application model, meanwhile, a corresponding pipeline digital twin application model can be constructed according to different application and decision requirements, so that the finally constructed pipeline digital twin can meet the requirements of pipeline multi-dimensional production business.
Additional features and advantages of embodiments of the present application will be described in detail in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the embodiments of the disclosure, but are not intended to limit the embodiments of the disclosure. In the drawings:
FIG. 1 is a schematic flow chart of a method of constructing a pipeline digital twin provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of step S12 in the method for constructing a pipeline digital twin provided in the embodiment of the present application;
FIG. 3 is a structural diagram of a pipeline digital twin general architecture model provided in an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an apparatus for constructing a pipeline digital twin provided in an embodiment of the present application;
fig. 5 is an internal structural diagram of a computer device provided in the embodiment of the present application.
Description of the reference numerals
10. A pool of data and model resources; 20. Presetting a database;
30. presetting a mechanism library; 40. Presetting a scheme library;
50. a processor.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the specific embodiments described herein are only used for illustrating and explaining the embodiments of the present application and are not used for limiting the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic flow chart of a method for constructing a pipeline digital twin provided in an embodiment of the present application. As shown in fig. 1, in an embodiment of the present application, there is provided a method of constructing a pipeline digital twin, including the following steps:
step S11: acquiring actual attribute data and an actual digital model of a pipeline entity system;
step S12: carrying out digital mapping on the actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model;
step S13: respectively calling a data analysis algorithm, a simulation mechanism model and a historical scheme from a preset database, a preset mechanism library and a preset scheme library according to an input instruction;
step S14: loading a data analysis algorithm, a simulation mechanism model and a historical scheme into a pipeline digital twin original model to construct a pipeline digital twin application model;
step S15: and constructing a pipeline digital twin body according to the pipeline digital twin body original model and the pipeline digital twin body application model.
Specifically, in step S11, the pipeline entity system includes both the in-service pipeline and the newly-built pipeline, the actual attribute data of the pipeline entity system is actual parameter data capable of reflecting the in-service pipeline and the entities in the newly-built pipeline, such as data of historical design, mining, construction, detection, etc. during the construction period of the in-service pipeline and data of new-built pipeline design and purchasing, detection, etc. during the construction period, and the actual digital model of the pipeline entity system is a three-dimensional design model including the in-service pipeline and the newly-built pipeline. In step S12, a digital twin original model of the pipeline accurately mapped by the same pipeline entity system is constructed for the in-service pipeline and the newly-built pipeline respectively by using a digital twin technology. In step S13, the preset database, the preset mechanism library, and the preset scheme library pre-store a data analysis algorithm, a simulation mechanism model, and a history scheme, respectively, and the user may input a corresponding instruction according to the application and decision requirement of the production service, and then call the corresponding data analysis algorithm, simulation mechanism model, and history scheme from the preset database, the preset mechanism library, and the preset scheme library, respectively, and then enter step S14. In step S14, the called data analysis algorithm, the simulation mechanism model, and the history scheme are loaded into the pipeline digital twin original model, so that a pipeline digital twin application model meeting the application and decision requirements of the production service can be constructed. In step S15, a pipeline digital twin is constructed by using the pipeline digital twin original model and the pipeline digital twin application model as the framework, and interacting and iterating with the entity pipeline system. Through the method, the pipeline digital twin body original model with the unified pipeline full-service chain data and model standards can be constructed, and meanwhile, the corresponding pipeline digital twin body application model can be constructed according to different application and decision requirements, so that the finally constructed pipeline digital twin body can meet the requirements of pipeline multi-dimensional production services.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating step S12 in the method for constructing a pipeline digital twin according to the embodiment of the present application. Digitally mapping the actual attribute data and the actual digital model by using a digital twinning technique in step S12 to construct a pipeline digital twinning primitive model, which may include the following steps:
step S121: respectively preprocessing the actual attribute data and the actual digital model;
step S121: and carrying out digital mapping on the preprocessed actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model.
Specifically, in step S121, the process of preprocessing the actual attribute data may include performing data cleaning, standardization processing, unstructured conversion on unstructured data, and removing redundant data and error data; the process of preprocessing the actual digital model may include performing uniform version conversion on different versions of the digital model, and removing redundant models and error models. Correspondingly, in step S121, the preprocessed actual attribute data and the actual digital model are digitally mapped by using a digital twin technology, so that the constructed original model of the pipeline digital twin is more accurate, and the model construction efficiency is improved.
In one embodiment, the method may further comprise:
outputting twin attribute data and a twin digital model through a pipeline digital twin original model;
adjusting the actual attribute data according to the twin attribute data and adjusting the actual digital model according to the twin digital model;
and constructing a pipeline digital twin original model based on the adjusted actual attribute data and the adjusted actual digital model.
Specifically, the twin attribute data and the twin digital model can be output through the constructed pipeline digital twin body original model, the design scheme of the pipeline is verified and optimized through the twin attribute data and the twin digital model, the engineering quality such as welding quality, anticorrosion process and the like is evaluated and fed back, the risk prejudgment is carried out on the progress of the construction period, and meanwhile the engineering quality is dynamically fed back to the pipeline entity system, so that the actual attribute data and the actual digital model of the pipeline entity system are adjusted, the constructed pipeline digital twin body original model is adjusted and corrected based on the adjusted actual attribute data and the adjusted actual digital model, and the constructed pipeline digital twin body is dynamically checked, corrected and perfected.
In one embodiment, the method may further comprise: outputting at least one of a line management scheme, an equipment management scheme, an oil and gas distribution scheme and an emergency decision scheme through the pipeline digital twin.
Specifically, the constructed pipeline digital twin body can be used for communicating production services such as pipeline line management, equipment management, oil and gas allocation and transportation, emergency decision and the like, and realizing service cooperative operation. For example, a line management scheme can be output through a pipeline digital twin body, various risk factors of line management are identified and early warned, an intelligent and precise maintenance plan and strategy are provided, basic data and a model are provided for emergency decision through line and environment data and a pipe body safety state synchronously, and an operation boundary is provided for oil and gas distribution and transportation by combining the line maintenance scheme and the pipe body residual strength.
The oil-gas distribution and transportation scheme can be further output through the pipeline digital twin, the operation scheme with comprehensively optimal energy consumption rate and reliability is pushed in real time by analyzing the energy consumption level and the reliability level of a pipe network under the current working condition, leakage quantity estimation is provided for emergency decision through the process operation scheme synchronously, operation indexes are provided for line management through the operation scheme, and equipment regulation and control instructions and the like are provided for equipment management.
The device management scheme can be further output through the pipeline digital twin body, the device state is comprehensively evaluated from five dimensions of communication data quality, energy efficiency level, operation working condition, health state and operation and maintenance quality through management of device state monitoring data, diagnosis of past problems of the device, evaluation of current state and prediction of future trend are achieved, and a process operation scheme boundary is provided for oil and gas distribution and transportation through a device characteristic curve.
An emergency decision scheme can be output through a pipeline digital twin body, the leakage rate and the accumulated leakage amount are accurately calculated by quickly positioning the accident position according to the alarm of a leakage monitoring system and combining the change condition of the oil-gas transfer backtracking process parameter, the accident influence range and the environmental pollution and personnel injury condition are dynamically deduced by combining data and models such as the human, geographical and meteorological conditions of the accident site, and the accident grade is evaluated.
The digital twin body of the pipeline can also carry out full factor description and analysis display on the normal and abnormal states and behaviors of the pipeline entity, simulation drilling and the like.
In one embodiment, the piping entity system comprises at least one of a line pipe body, a weld, an anti-corrosion layer, a line-laying environment, a process pipe, a valve, a flow meter, a storage tank, and an accessory device.
In one embodiment, the actual property data includes at least one of actual pipe property data, actual welding parameter data, actual environmental parameter data, actual pipe burial depth data, actual pipe strike data, and actual transport media property data of the pipeline entity system.
Specifically, the scope of the pipeline entity system includes pipe bodies, environments, fluid media, station processes, equipment, and the like, such as pipeline bodies, welds, corrosion protection layers, line-laying environments, process pipelines, valves, flowmeters, storage tanks, and attached equipment. The actual attribute data comprises data such as design, production, construction, detection and the like, such as diversified data of pipe attributes, welding parameters, environmental parameters, pipeline burial depth/trend, conveying medium attributes and the like.
In one embodiment, the actual digitized model includes at least one of an actual CAD model, an actual CAE model, an actual BIM model, an actual SP3D model, and an actual PDMS model of the piping entity system.
Specifically, the actual digital model includes three-dimensional Design models in the pipeline construction period, such as a CAD (Computer Aided Design) model, a CAE (Computer Aided Engineering) model, a BIM (Building Information Modeling) model, a SP3D (Smart Plant 3D) model, a PDMS (Plant Design Management System) model, and the like.
In one embodiment, the simulation mechanics model includes at least one of a pipe simulation structural mechanics model, a pipe simulation fluid mechanics model, and a pipe simulation thermodynamic model.
In one embodiment, the historical schedule includes at least one of an equipment maintenance historical schedule, a line maintenance historical schedule, and a process operation historical schedule.
Specifically, in order to provide a precise pipeline digital twin application model for each service system platform of the pipeline and provide a secondary development extension service platform function, a pipeline simulation structure mechanical model, a pipeline simulation hydromechanical model, a pipeline simulation thermodynamic model and the like are pre-stored in a preset mechanism library, an equipment maintenance historical scheme, a line maintenance historical scheme, a process operation historical scheme and the like are pre-stored in a preset scheme library, and meanwhile, various micro service components can be developed aiming at typical service sub-scenes, so that the constructed pipeline digital twin can perform multi-dimensional and multi-scale digital display on the state and the structure of the pipeline system, and provide a virtual training and drilling environment aiming at various training and drilling needs in production services.
According to the technical scheme, the pipeline digital twin body original model with the pipeline full service chain data unified with the model standard can be constructed by acquiring the actual attribute data and the actual digital model of the pipeline entity system, digitally mapping the actual attribute data and the actual digital model by using a digital twin technology to construct a pipeline digital twin body original model, then respectively calling a data analysis algorithm, a simulation mechanism model and a historical scheme from a preset database, a preset mechanism library and a preset scheme library according to an input instruction, loading the data analysis algorithm, the simulation mechanism model and the historical scheme into the pipeline digital twin body original model to construct a pipeline digital twin body application model, and then constructing the pipeline digital twin body original model according to the pipeline digital twin body original model and the pipeline digital twin body application model, meanwhile, a corresponding pipeline digital twin application model can be constructed according to different application and decision requirements, so that the finally constructed pipeline digital twin can meet the requirements of pipeline multi-dimensional production business.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a pipeline digital twin general architecture model provided in an embodiment of the present application. As shown in fig. 3, the pipeline digital twin overall architecture model includes a pipeline digital twin original model, a pipeline digital twin engine, and a pipeline digital twin application model, and defines the association relationship between the pipeline digital twin and the pipeline entity, the association relationship between the pipeline services, and the pipeline digital twin immersive application function.
The method comprises the steps of establishing a virtual static model accurately mapped with a pipeline entity system by a pipeline digital twin original model, verifying and optimizing a scheme of a pipeline design stage by means of a pipeline digital twin engine, optimizing and controlling supply chain links, tracking and evaluating construction links and the like, realizing dynamic checking and modification perfection of a pipeline digital twin, and finally handing over to an operator for management by means of a full-digital handing over mode.
The pipeline digital twin engine is an inner core of a pipeline digital twin body, and establishes technical sub-modules for technologies such as artificial intelligence, big data analysis, simulation, cloud computing and the Internet of things according to the needs of a pipeline service scene including a complex system level (such as pipeline network reliability analysis, pipeline network operation optimization and the like), a system level (pipeline line maintenance analysis, stopping and restarting and the like), a unit level (pipe body structure analysis and the like), and synchronously establishes supporting sub-modules for mechanisms (pipeline structure mechanics, hydromechanics, thermodynamics and the like), historical schemes (equipment maintenance, line maintenance, process operation and the like). When the pipeline digital twin engine is applied, a knowledge network is established according to instructions of a pipeline digital twin application model or signals of an entity system and the like, the knowledge network is established by depending on different application scene scales, dimensions, characteristics and characteristics, all the sub-modules are directionally configured, called and integrated by depending on the knowledge network, an analysis and decision model of a corresponding scene is established and packaged, and the analysis and decision model is output to various scenes related to the pipeline digital twin application model and the pipeline digital twin primitive model by the pipeline digital twin engine, so that analysis and decision services are provided.
A pipeline digital twin application model builds a systematic adaptive multi-dimensional production business application model by relying on a pipeline digital twin engine, oil and gas distribution and transportation, line management, equipment management, emergency decision and the like are covered by model boundaries, business cooperative chains are built in various business fields by relying on the pipeline digital twin application model, on one hand, the full-factor description and analysis display of the state and the behavior of a pipeline entity are carried out by an immersive function and a virtual interactive function is provided, on the other hand, the state of the pipeline entity, the equipment operation working condition and the environmental change which are related in a pipeline entity scene are realized, and the physical property characteristics of the conveying medium and the like are used for carrying out current situation evaluation and future trend prediction on entity systems with different dimensions such as a pipeline network system, a line system, a station system and a monomer element, and finally corresponding feedback, decision or operation is carried out on the pipeline entity, so that the closed-loop decision of the pipeline digital twin application model-the pipeline digital twin-the pipeline entity is realized.
By means of the pipeline digital twin overall architecture model in the embodiment of the application, the efficient configuration of pipeline full-element data resources can be realized by constructing the pipeline digital twin which is interactive and iterative with an entity pipeline system, the pipeline digital twin which integrates diversified technical kernels is constructed, the pipeline production business barrier is effectively eliminated, and a novel business ecological mode is formed.
Embodiments of the present application further provide a processor, configured to execute the following method: acquiring actual attribute data and an actual digital model of a pipeline entity system; carrying out digital mapping on the actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model; respectively calling a data analysis algorithm, a simulation mechanism model and a historical scheme from a preset database, a preset mechanism library and a preset scheme library according to an input instruction; loading a data analysis algorithm, a simulation mechanism model and a historical scheme into a pipeline digital twin original model to construct a pipeline digital twin application model; and constructing a pipeline digital twin body according to the pipeline digital twin body original model and the pipeline digital twin body application model.
In one embodiment, the digital twinning technique is used for digitally mapping the actual attribute data and the actual digital model to construct a pipeline digital twinning primitive model, and the method comprises the following steps: respectively preprocessing the actual attribute data and the actual digital model; and carrying out digital mapping on the preprocessed actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model.
In one embodiment, the method further comprises: outputting twin attribute data and a twin digital model through a pipeline digital twin original model; adjusting the actual attribute data according to the twin attribute data and adjusting the actual digital model according to the twin digital model; and constructing a pipeline digital twin original model based on the adjusted actual attribute data and the adjusted actual digital model.
In one embodiment, the method further comprises: and outputting at least one of a line management scheme, an equipment pipeline scheme, an oil and gas distribution scheme and an emergency decision scheme through the pipeline digital twin.
In one embodiment, the piping entity system comprises at least one of a line pipe body, a weld, an anti-corrosion layer, a line-laying environment, a process pipe, a valve, a flow meter, a storage tank, and an accessory device.
In one embodiment, the actual property data includes at least one of actual pipe property data, actual welding parameter data, actual environmental parameter data, actual pipe burial depth data, actual pipe strike data, and actual transport media property data of the pipeline entity system.
In one embodiment, the actual digitized model includes at least one of an actual CAD model, an actual CAE model, an actual BIM model, an actual SP3D model, and an actual PDMS model of the piping entity system.
In one embodiment, the simulation mechanics model includes at least one of a pipe simulation structural mechanics model, a pipe simulation fluid mechanics model, and a pipe simulation thermodynamic model.
In one embodiment, the historical schedule includes at least one of an equipment maintenance historical schedule, a line maintenance historical schedule, and a process operation historical schedule.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an apparatus for constructing a pipeline digital twin provided in an embodiment of the present application. As shown in fig. 4, in an embodiment of the present application, there is provided an apparatus for constructing a pipeline digital twin, the apparatus including:
a pool of data and model resources 10 configured to hold actual attribute data and actual digitized models of the pipeline entity system;
a preset database 20 configured to store data analysis algorithms of the pipeline entity system;
a preset mechanism library 30 configured to store a simulation mechanism model of the pipeline entity system;
a preset solution library 40 configured to store a historical solution of the pipeline entity system; and
a processor 50 configured to perform the above-described method of constructing a pipeline digital twin.
It should be noted that, when the apparatus provided in the foregoing embodiment performs the relevant operations, only the division of the program modules is illustrated, and in practical applications, the above processing distribution may be completed by different program modules according to needs, that is, the internal structure of the terminal is divided into different program modules to complete all or part of the above-described processing. In addition, the apparatus provided in the above embodiment and the method embodiment in the above embodiment belong to the same concept, and the specific implementation process thereof is described in the method embodiment, which is not described herein again.
The present embodiments provide a machine-readable storage medium having stored thereon instructions that, when executed by a processor, cause the processor to be configured to perform the above-described method of constructing a pipe digital twin.
An apparatus is also provided in an embodiment of the present application, where the apparatus includes a processor, a memory, and a program stored in the memory and capable of being executed on the processor, and the processor implements the method according to any one of the above embodiments when executing the program.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the method provided by one or more technical schemes is realized by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor a01, a network interface a02, a memory (not shown), and a database (not shown) connected by a system bus. Wherein processor a01 of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises an internal memory a03 and a non-volatile storage medium a 04. The non-volatile storage medium a04 stores an operating system B01, a computer program B02, and a database (not shown in the figure). The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a 04. The database of the computer device is used for storing data analysis algorithms, simulation mechanism models and historical schemes. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program B02 is adapted to carry out the method of any of the above embodiments when executed by the processor a 01.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (12)
1. A method of constructing a pipeline digital twin, comprising:
acquiring actual attribute data and an actual digital model of a pipeline entity system;
carrying out digital mapping on the actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model;
respectively calling a data analysis algorithm, a simulation mechanism model and a historical scheme from a preset database, a preset mechanism library and a preset scheme library according to an input instruction;
loading the data analysis algorithm, the simulation mechanism model and the historical scheme into the pipeline digital twin original model to construct a pipeline digital twin application model;
and constructing a pipeline digital twin body according to the pipeline digital twin body original model and the pipeline digital twin body application model.
2. The method of claim 1, wherein digitally mapping the actual attribute data and the actual digitized model using a digital twinning technique to construct a pipeline digital twinning primitive model, comprises:
respectively preprocessing the actual attribute data and the actual digital model;
and carrying out digital mapping on the preprocessed actual attribute data and the actual digital model by using a digital twinning technology to construct a pipeline digital twinning original model.
3. The method of claim 1, further comprising:
outputting twin attribute data and a twin digital model through the pipeline digital twin primitive model;
adjusting the actual attribute data according to the twin attribute data and adjusting the actual digital model according to the twin digital model;
constructing the pipeline digital twin primitive model based on the adjusted actual attribute data and the adjusted actual digitized model.
4. The method of claim 1, further comprising:
outputting at least one of a line management scheme, an equipment management scheme, an oil and gas distribution scheme and an emergency decision scheme through the pipeline digital twin.
5. The method of claim 1, wherein the piping entity system comprises at least one of a line pipe body, a weld, a corrosion protection layer, a line-laying environment, a process pipe, a valve, a flow meter, a storage tank, and an accessory device.
6. The method of claim 1, wherein the actual property data comprises at least one of actual pipe property data, actual welding parameter data, actual environmental parameter data, actual pipe burial depth data, actual pipe strike data, and actual transport media property data of the physical system of pipes.
7. The method of claim 1, wherein the actual digitized model comprises at least one of an actual CAD model, an actual CAE model, an actual BIM model, an actual SP3D model, and an actual PDMS model of the piping entity system.
8. The method of claim 1, wherein the simulated mechanics model comprises at least one of a pipe simulated structural mechanics model, a pipe simulated fluid mechanics model, and a pipe simulated thermodynamic model.
9. The method of claim 1, wherein the historical solution comprises at least one of an equipment maintenance historical solution, a line maintenance historical solution, and a process operation historical solution.
10. A processor configured to perform the method of constructing a pipe digital twin according to any one of claims 1 to 9.
11. An apparatus for constructing a pipeline digital twin, comprising:
a data and model resource pool configured to hold actual attribute data and an actual digitized model of the pipeline entity system;
a preset database configured to store data analysis algorithms of the pipeline entity system;
a preset mechanism library configured to store a simulation mechanism model of the pipeline entity system;
a preset scheme library configured to store historical schemes for the pipeline entity system; and
the processor of claim 10.
12. A machine readable storage medium having instructions stored thereon, which when executed by a processor cause the processor to be configured to perform a method of constructing a pipe digital twin according to any of claims 1 to 9.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115822533A (en) * | 2022-11-28 | 2023-03-21 | 新疆敦华绿碳技术股份有限公司 | Oil displacement method for bottom water sandstone reservoir |
| CN116977122A (en) * | 2023-07-06 | 2023-10-31 | 双龙软创(深圳)科技有限公司 | Remote automatic monitoring method for dangerous rooms based on digital twin technology |
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- 2021-12-20 CN CN202111565083.5A patent/CN114239288A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115822533A (en) * | 2022-11-28 | 2023-03-21 | 新疆敦华绿碳技术股份有限公司 | Oil displacement method for bottom water sandstone reservoir |
| CN116977122A (en) * | 2023-07-06 | 2023-10-31 | 双龙软创(深圳)科技有限公司 | Remote automatic monitoring method for dangerous rooms based on digital twin technology |
| CN116977122B (en) * | 2023-07-06 | 2024-04-19 | 双龙软创(深圳)科技有限公司 | Remote automatic monitoring method for dangerous rooms based on digital twin technology |
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