Dynamic constraint driven chemical three-dimensional pipeline construction drawing generation system and method

Abstract

The invention discloses a dynamic constraint driven chemical three-dimensional pipeline construction drawing generation system and method, and the system comprises a multi-modal data fusion module which obtains multi-modal fusion data; the dynamic constraint map module is used for carrying out structured representation on the three-dimensional pipeline system by utilizing the multi-modal fusion data to obtain a pipeline dynamic constraint map; the three-dimensional space reasoning module is deployed with a graph neural network, carries out deep fusion of a space attention mechanism based on a pipeline dynamic constraint graph, and generates a three-dimensional pipeline construction drawing; and the intelligent drawing output and verification terminal module is used for automatically marking the three-dimensional pipeline construction drawing and synchronously verifying the marking information and the mechanical property. According to the method, the dynamic constraint graph is constructed by fusing the dynamic process parameters and the construction constraints, and spatial reasoning is carried out by utilizing an intelligent algorithm, so that the spanning of chemical pipeline design from static modeling to dynamic response is realized, and the problems of low efficiency, high conflict rate, dynamic constraint deficiency, cooperative lag and the like in a traditional method are effectively solved.

Description

Technical Field

[0001] This invention relates to the field of 3D modeling and construction drawing technology for chemical pipelines, and in particular to a dynamic constraint-driven system and method for generating 3D construction drawings for chemical pipelines. Background Technology

[0002] Background of 3D Modeling and Construction Drawing Generation Technology for Chemical Pipelines: In process industries such as oil refining, chemical engineering, and pharmaceuticals, pipeline systems serve as the core carriers for material transportation and energy transfer. Their design quality directly impacts the system's safety, economy, and life-cycle reliability. As industrial systems become larger, more complex, and more intelligent, traditional pipeline design and construction drawing methods are gradually revealing insurmountable technical bottlenecks, mainly in the following aspects:

[0003] First, modeling efficiency is low. In the modeling of complex industrial systems, the traditional manual alignment of piping and instrumentation diagrams with isometric drawings severely limits modeling efficiency. Second, the spatial conflict rate is high. Existing design processes lack the ability to anticipate 3D spatial conflicts, resulting in a low rate of spatial problem detection during the construction phase. Third, dynamic constraints are lacking: especially in complex conditions such as high-temperature pipelines, existing tools are severely inadequate in responding to dynamic changes such as thermal expansion displacement. Fourth, multi-disciplinary collaboration is lagging; there is a data asynchrony between the 3D models of the piping discipline and the stress analysis of the piping and machinery discipline.

[0004] For example, patent document number 202310917482.6, "Method for 3D Modeling of Chemical Pipelines," proposes a BIM-based 3D modeling method for chemical pipelines. While this method solves the problems of low efficiency and error-proneness in traditional manual modeling, it also suffers from a lack of dynamic operating condition response capabilities, fixed preset rules, inability to automatically adjust for temperature fluctuations during production, and poor ability to flexibly handle special or non-standard pipe fittings.

[0005] For the reasons mentioned above, a dynamic constraint-driven 3D pipeline construction drawing generation system for chemical engineering is needed to solve the problems existing in the current 3D pipeline construction drawing generation system for chemical engineering from multiple aspects. Summary of the Invention

[0006] To address the aforementioned problems, the present invention aims to provide a dynamic constraint-driven system and method for generating 3D pipeline construction drawings for chemical engineering, thereby resolving issues such as high spatial conflict rate, lack of dynamic constraints, and lagging multi-disciplinary collaboration in the generation of 3D pipeline construction drawings for chemical engineering.

[0007] This invention provides a dynamic constraint-driven system and method for generating three-dimensional pipeline construction drawings for chemical engineering.

[0008] First aspect: A dynamically constrained, three-dimensional pipeline construction drawing generation system for chemical engineering, comprising:

[0009] The multimodal data fusion module extracts equipment tag number, pipeline grade and dynamic fluid process parameters, performs construction feasibility constraint analysis, and obtains multimodal fusion data based on pipeline construction constraints and pipeline process parameters.

[0010] The dynamic constraint map module utilizes multimodal fusion data to structurally characterize the 3D pipeline system with node and edge constraints, and performs verification based on dual channels of fluid mechanics and equipment vibration feedback to obtain the pipeline dynamic constraint map.

[0011] The 3D spatial reasoning module is equipped with a graph neural network. Based on the pipeline dynamic constraint map, it performs deep fusion of spatial attention mechanism to obtain 3D pipeline construction drawings.

[0012] The intelligent drawing and verification terminal module automatically annotates 3D pipeline construction drawings and simultaneously verifies the annotated information and mechanical properties.

[0013] In one embodiment of the present invention, the multimodal data fusion module includes:

[0014] The process data unit, based on piping and instrumentation diagram analysis technology, extracts structured data such as equipment tag number and pipeline grade, and obtains dynamic fluid process parameters by combining pipeline fluid dynamics boundary conditions;

[0015] The engineering constraint unit integrates pipeline construction feasibility data with equipment tag numbers, pipeline grades, and dynamic fluid process parameters, aligning pipeline construction constraints with pipeline process parameters.

[0016] In one embodiment of the present invention, the dynamic constraint map module includes:

[0017] The node-edge modeling unit uses flanges, valves, and supports as topological nodes and pipeline slope and fluid dynamic stress as edges, and employs a spatial coordinate system to structurally represent the pipeline system.

[0018] The real-time operating condition correction unit monitors the pipe diameter change region based on the fluid dynamics verification channel, and collects the pipe vibration spectrum in real time based on the vibration feedback channel to correct the pipe structural characterization and obtain the pipe dynamic constraint map.

[0019] In one embodiment of the present invention, the three-dimensional spatial reasoning module includes:

[0020] The graph neural network model includes a spatial attention layer. Based on the pipeline dynamic constraint map, the graph neural network model performs deep fusion of spatial attention mechanisms to obtain three-dimensional pipeline construction drawings.

[0021] In one embodiment of the present invention, the intelligent image output and verification terminal module includes:

[0022] The intelligent drawing unit is equipped with an automated annotation engine that automatically annotates 3D pipeline construction drawings according to standards.

[0023] The lightweight verification module is equipped with an ANSYS solver to construct stress concentration factors, verify the annotation information on 3D pipeline construction drawings, and perform simultaneous verification of annotation information and mechanical properties.

[0024] The second aspect: A method for generating 3D pipeline construction drawings for chemical engineering driven by dynamic constraints, including the following steps:

[0025] S1. Extract equipment tag number, pipeline grade and dynamic fluid process parameters, conduct construction feasibility constraint analysis, and obtain multimodal fusion data based on pipeline construction constraints and pipeline process parameters.

[0026] S2. Using multimodal fusion data, the three-dimensional pipeline system is structurally characterized by node and edge constraints, and the dynamic constraint map of the pipeline is obtained by verifying and validating it based on the dual channels of fluid mechanics and equipment vibration feedback.

[0027] S3. Deploy a graph neural network, based on the pipeline dynamic constraint graph, and perform deep fusion of spatial attention mechanism to obtain a three-dimensional pipeline construction drawing;

[0028] S4. Automated annotation of 3D pipeline construction drawings, and simultaneous verification of annotation information and mechanical properties.

[0029] Third aspect: An electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, performs the steps of the method provided in the second aspect.

[0030] Fourth aspect: A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the second aspect.

[0031] The beneficial effects of this invention are:

[0032] 1. This invention extracts dynamic fluid process parameters and equipment vibration feedback, and couples them with physical effects such as pipeline thermal expansion and hydrodynamic stress to construct a pipeline dynamic constraint map that can respond in real time to changes in operating conditions. This solves the problem of missing dynamic constraints in traditional design methods, ensuring the mechanical safety of pipeline layout under complex operating conditions such as high temperature, high pressure, and sudden changes in flow velocity. It significantly reduces the risk of safety accidents such as leakage and rupture caused by thermal displacement, water hammer effect, or vibration fatigue, achieving deep integration of dynamic constraints and static design, and improving design safety and reliability.

[0033] 2. This invention integrates multi-source information such as P&ID, process packages, and construction constraints through a multimodal data fusion module, and utilizes graph neural networks (GNNs) combined with spatial attention mechanisms for intelligent spatial reasoning. This achieves an automated closed loop from data input to 3D construction drawing generation, avoiding the tediousness and error-proneness of traditional manual modeling. The system can intelligently avoid spatial conflicts, automatically optimize pipeline routing, and prioritize key constraints, thereby improving design efficiency, reducing design error rates, and significantly enhancing design efficiency and quality.

[0034] 3. This invention innovatively integrates automated drawing generation and lightweight mechanical verification onto a single platform. While generating 3D construction drawings, the system can instantly call solvers such as ANSYS to perform stress analysis based on automatically annotated pipe diameter, material, and wall thickness information in the drawings, achieving simultaneous verification of annotated information and mechanical properties. This forms a highly efficient workflow of design-as-verification, effectively shortening the project cycle and ensuring the engineering usability of the design results. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the structure of a dynamic constraint-driven three-dimensional pipeline construction drawing generation system for chemical engineering according to the present invention.

[0036] Figure 2 This is a flowchart illustrating a method for generating three-dimensional pipeline construction drawings for chemical engineering based on dynamic constraints, according to the present invention.

[0037] Figure 3 This is a schematic diagram of the structure of the electronic device of the present invention. Detailed Implementation

[0038] Embodiments of the present invention are described in detail below. Examples of these embodiments are illustrated in the accompanying drawings, wherein the same or similar symbols denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0039] Existing methods for generating chemical pipelines suffer from several drawbacks: low modeling efficiency (traditional manual alignment of piping and instrumentation diagrams with isometric drawings hinders the modeling efficiency of complex industrial systems); high spatial conflict rate (the design process lacks sufficient foresight regarding 3D spatial conflicts, resulting in a low rate of spatial problem detection during construction); lack of dynamic constraints (tools are insufficient to respond to dynamic changes such as thermal expansion displacement under complex conditions such as high-temperature pipelines); and lagging multidisciplinary collaboration (the 3D model of the piping discipline is not synchronized with the stress analysis data of the piping and machinery discipline).

[0040] To address the above problems, this invention provides a dynamic constraint-driven system and method for generating three-dimensional pipeline construction drawings for chemical engineering.

[0041] Example 1:

[0042] This embodiment discloses a dynamically constrained, three-dimensional pipeline construction drawing generation system for chemical engineering, such as... Figure 1 As shown, it includes a multimodal data fusion module, a dynamic constraint map module, a three-dimensional spatial reasoning module, and an intelligent map output and verification terminal module.

[0043] The multimodal data fusion module extracts equipment tag numbers, pipeline grades, and dynamic fluid process parameters to conduct construction feasibility constraint analysis. Based on pipeline construction constraints and pipeline process parameters, multimodal fusion data is obtained, providing a comprehensive and accurate data foundation for subsequent modeling and drawing. This multimodal fusion data covers information on equipment, pipelines, and fluid processes, more realistically reflecting the actual situation of chemical pipeline systems.

[0044] Specifically, the multimodal data fusion module includes a process data unit and an engineering constraint unit. The process data unit, based on Piping & Instrumentation Diagram (P&ID) parsing technology, extracts structured data such as equipment tag numbers and pipeline grades. Simultaneously, it combines dynamic parameters from the process package to establish fluid dynamics boundary conditions, obtaining dynamic fluid process parameters. These dynamic fluid process parameters provide crucial information for subsequent construction feasibility analysis and modeling, accurately reflecting the fluid state of chemical pipelines during actual operation.

[0045] The engineering constraint unit integrates pipeline construction feasibility data with equipment tag numbers, pipeline grades, and dynamic fluid process parameters, aligning pipeline construction constraints with pipeline process parameters to ensure that various practical constraints are fully considered during construction.

[0046] The engineering constraint unit performs a detailed analysis of various constraints during pipeline construction, such as spatial limitations of the construction site and the capacity range of construction equipment. By matching and aligning these constraints with pipeline process parameters, potential construction problems can be identified in advance, avoiding project delays or quality issues caused by mismatches between parameters and constraints during construction.

[0047] For example, the engineering constraint module integrates construction feasibility data with pipeline process parameters, dynamically marking areas where the crane's operating radius exceeds the limit (L>8m) as three-dimensional restricted areas. This provides a spatiotemporally coupled engineering semantic framework for the construction of dynamic constraint maps, ensuring comprehensive alignment between process parameters and construction constraints.

[0048] The dynamic constraint map module utilizes multimodal fusion data to structurally characterize the 3D pipeline system using node and edge constraints, and performs verification based on dual channels of fluid mechanics and equipment vibration feedback to obtain the pipeline dynamic constraint map. The dynamic constraint map module includes a node-edge modeling unit and a real-time operating condition correction unit.

[0049] The node-edge modeling unit uses flanges, valves, and supports as topological nodes, and pipeline slope and fluid dynamic stress as edges. It employs a spatial coordinate system to structurally represent the pipeline system and accurately describes its physical characteristics and operating status by assigning attribute values ​​to nodes and edges. For topological nodes, detailed parameters such as type, specifications, and material are defined to accurately reflect the characteristics of various components in the actual pipeline system.

[0050] For example, the center point coordinates (X,Y,Z) of the equipment flange end face, the valve actuator mounting base, and the positioning bolt group of the support are taken as key topology nodes.

[0051] For example, edge constraints on the slope of the pipeline can be established through finite element analysis mesh generation technology, or edge constraints on the dynamic stress propagation link can be constructed based on the fluid-structure interaction simulation model.

[0052] The real-time operating condition correction unit monitors the pipe diameter change region based on the fluid dynamics verification channel, and collects the pipe vibration spectrum in real time based on the vibration feedback channel to correct the pipe structural characterization and obtain the pipe dynamic constraint map.

[0053] The real-time operating condition correction unit deploys a dual-channel verification mechanism. The first is the fluid dynamics verification channel, which uses a discrete solver to monitor the pipe diameter change region. When the pressure drop exceeds the standard, a turbulence suppression scheme is immediately generated. The second is the equipment vibration feedback channel, which collects the pump body vibration spectrum in real time through a distributed sensor group. The characteristic frequency components are extracted through spectrum analysis, the pipe structure characterization is corrected, a dynamic adjustment loop of the closed-loop control cycle is formed, and the dynamic constraint spectrum of the pipe is obtained.

[0054] The real-time operating condition correction unit plays a dynamic adjustment role in the entire system. When monitoring the pipe diameter change area based on the fluid dynamics verification channel, it accurately analyzes parameters such as fluid velocity and pressure changes in that area. Because sudden pipe diameter changes can easily trigger unstable fluid flow, generating complex flow patterns such as vortices and turbulence, these can affect the pipeline's operational safety and efficiency. Real-time monitoring and analysis of these parameters allows for the timely detection of potential problems, such as the risk of pipe rupture due to excessive pressure.

[0055] Among them, the three-dimensional spatial reasoning module is equipped with a graph neural network. Based on the pipeline dynamic constraint map, it performs deep fusion of spatial attention mechanism to obtain three-dimensional pipeline construction drawings.

[0056] The 3D spatial reasoning module is based on a deep fusion architecture of graph neural network (GCN) and spatial attention mechanism to build an intelligent layout optimization engine for industrial pipelines.

[0057] Graph Neural Networks (GCNs) employ a multi-layer message passing mechanism for feature learning: the input layer encodes the feature vectors of the pipe fittings and concatenates them with the three-dimensional spatial coordinates to form a hybrid feature tensor; after nonlinear transformation through the GCN residual network, the output layer uses a coordinate regression loss function to generate optimized pipeline centerline coordinates.

[0058] The dynamic attention mechanism can adaptively adjust the degree of attention given to different areas and features based on the real-time dynamic changes of the fluid in the pipeline. In the complex and ever-changing operating environment of chemical pipelines, parameters such as fluid velocity, pressure, and temperature are constantly changing. The dynamic attention mechanism can keenly capture these changes and focus attention on areas where changes are significant or have a major impact on system operation.

[0059] For example, the dynamic attention mechanism introduces thermo-mechanical dual-domain attention. In the high-temperature pipe section region, the expansion displacement is calculated based on the material's thermal expansion coefficient, and an annular buffer zone with a radius is generated as a gap reservation area. For the explosion-proof area, the parameters such as flange surface parallelism are assigned benchmark weights through the sealing constraint matrix, and key constraint conditions are converged first during the back propagation process.

[0060] The intelligent drawing and verification terminal module automates the annotation of 3D pipeline construction drawings and simultaneously verifies the annotation information and mechanical properties. The intelligent drawing and verification terminal module includes an intelligent drawing unit and a lightweight verification module.

[0061] Among them, the intelligent drawing unit is equipped with an automated annotation engine, which automatically annotates 3D pipeline construction drawings according to standards. It can not only accurately identify various key information of pipelines, such as pipe diameter, material, and flow direction, but also annotate this information on the construction drawings in a clear and accurate manner in accordance with industry standards and design requirements.

[0062] The automated annotation engine employs advanced image recognition and natural language processing technologies, enabling it to quickly understand the structure and content of 3D piping construction drawings and automatically match corresponding annotation rules. It also features intelligent error correction, promptly detecting and correcting any potential annotation errors or inconsistencies. Furthermore, the intelligent drawing unit supports user-defined annotation templates and styles to meet the personalized needs of different projects and clients. Through real-time interaction with the design team, annotation content can be adjusted promptly based on feedback, ensuring the accuracy and completeness of the construction drawings.

[0063] The lightweight verification module is equipped with an ANSYS solver to construct stress concentration factors, verify the annotation information on 3D pipeline construction drawings, and perform simultaneous verification of annotation information and mechanical properties.

[0064] The lightweight verification module employs efficient algorithms and data compression technology to simultaneously verify annotation information and mechanical properties. It can quickly process large amounts of pipeline data, analyze the relationship between annotation information and mechanical properties, and check for any contradictions or inconsistencies.

[0065] During the verification process, the lightweight verification module simulates the mechanical response of the pipeline under different operating conditions to evaluate the rationality and reliability of the annotation information.

[0066] If problems are found, generate detailed reports in a timely manner, pointing out the problems and suggestions for improvement, to provide strong decision support for the design team.

[0067] Example 2:

[0068] Based on Example 1, this invention also discloses a method for generating three-dimensional pipeline construction drawings for chemical engineering driven by dynamic constraints, such as... Figure 2 As shown, the steps include:

[0069] S1. Extract equipment tag number, pipeline grade and dynamic fluid process parameters, conduct construction feasibility constraint analysis, and obtain multimodal fusion data based on pipeline construction constraints and pipeline process parameters.

[0070] First, extract basic data from design documents such as piping and instrumentation diagrams (P&ID) and process packages, including:

[0071] Equipment Tag Number: Using P&ID resolution technology, the unique identification code of all equipment in the diagram is automatically identified and extracted to establish the connection relationships between equipment. Piping Class: The class information for each pipe is extracted from the P&ID, including key engineering attributes such as pipe material, wall thickness, pressure rating, and connection method. Dynamic Fluid Process Parameters: Combined with dynamic operating data from the process package, calculations are performed using fluid dynamics boundary conditions. This includes, but is not limited to: instantaneous maximum flow rate, operating / design pressure, operating / design temperature, and fluid medium. These parameters are no longer static values ​​but reflect the dynamic operating conditions that the pipeline may encounter in actual operation.

[0072] Then, a construction feasibility constraint analysis and constraint integration are conducted to align the extracted process parameters with the physical and engineering constraints in actual construction, thereby mitigating construction risks in advance.

[0073] Integrate construction feasibility data, collect and integrate constraints related to on-site construction, such as: space limitations of the construction site, operating radius of hoisting equipment, transportation routes of large equipment, and space requirements for welding operations.

[0074] Aligning parameters with constraints involves matching and correlating the equipment tag number, pipeline class, and dynamic fluid process parameters extracted in the first step with the aforementioned construction constraints.

[0075] Through analysis, potential construction conflict areas are identified. For example, areas where the crane's operating radius exceeds the limit (L>8m) are dynamically marked as three-dimensional restricted areas, generating meaningful spatiotemporal coupling information.

[0076] After the aforementioned data extraction, analysis, and alignment, the system generates a multimodal fusion dataset. This dataset is a structured collection of information that includes not only the original equipment, piping, and process information, but also the analyzed construction feasibility conclusions and engineering constraints. This provides a comprehensive, accurate, and engineering-semantic data foundation for the subsequent construction of dynamic constraint maps, ensuring that the entire modeling process considers both design and construction needs from the outset.

[0077] S2. Using multimodal fusion data, the three-dimensional pipeline system is structurally characterized by node and edge constraints, and the dynamic constraint map of the pipeline is obtained by verifying and validating it based on the dual channels of fluid mechanics and equipment vibration feedback.

[0078] This step transforms the multimodal fusion data into a dynamic constraint map with engineering semantics that reflects the actual physical behavior and dynamic response of the pipeline system. The specific process includes:

[0079] Based on the structured representation of multimodal fusion data, the complex three-dimensional pipeline system is abstracted into a topological network composed of nodes and edges that can be efficiently processed by computers.

[0080] First, node definitions are performed, selecting key components in the piping system as topology nodes. These nodes mainly include flanges, valves, and supports. For example, the center point coordinates (X, Y, Z) of the equipment flange end face, the valve actuator mounting base, and the support positioning bolt group are selected as key topology nodes.

[0081] Next, edges are defined, with the pipe sections connecting the nodes defined as edges and assigned specific physical constraint properties. These constraints include pipe slope and fluid dynamic stress. This can be constructed using finite element analysis mesh generation techniques or fluid-structure interaction simulation models. Then, using a spatial coordinate system, these nodes and edges with clear physical meanings are connected to form an initial map that provides a structured representation of the three-dimensional piping system.

[0082] Dual-channel verification and dynamic correction introduce dynamic operating condition feedback to verify and correct the initial structured representation in real time, transforming it from a static model into a dynamic spectrum that can respond to changes in real operating conditions.

[0083] The system employs a dual-channel closed-loop verification system, utilizing both fluid dynamics and equipment vibration feedback. The fluid dynamics verification channel uses a discrete solver to monitor the piping system, paying particular attention to regions of abrupt diameter changes. It calculates the pressure drop as fluid passes through these regions in real time. If an excessive pressure drop is detected, the system immediately generates a turbulence suppression scheme, which may include adjusting the pipe routing, adding buffer zones, or modifying pipe fitting designs, thereby correcting relevant edge constraints in the flow graph.

[0084] The equipment vibration feedback channel involves deploying distributed sensor arrays on key equipment to collect the equipment's vibration spectrum in real time. The collected spectrum data is then analyzed to extract characteristic frequency components, and this vibration data is fed back into the spectral model to refine the pipeline's structural characterization.

[0085] After the above structured representation and dual-channel dynamic correction, the system finally generates a pipeline dynamic constraint map.

[0086] The pipeline dynamic constraint graph is no longer a simple geometric connection diagram, but a dynamic, closed-loop intelligent knowledge graph with engineering semantics that integrates equipment tag numbers, pipeline grades, dynamic process parameters, construction constraints, and can respond to fluid pressure changes and equipment vibrations. It provides accurate and reliable decision-making basis for subsequent three-dimensional spatial intelligent reasoning.

[0087] S3. Deploy a graph neural network based on the pipeline dynamic constraint graph and perform deep fusion of spatial attention mechanism to obtain three-dimensional pipeline construction drawings.

[0088] Deploy an intelligent layout optimization engine that is based on a Graph Neural Network (GNN) and deeply integrates spatial attention mechanisms.

[0089] The feature vectors of each node and edge in the generated pipeline dynamic constraints are concatenated with their coordinates (X,Y,Z) in three-dimensional space to form a hybrid feature tensor, which is then input into the GNN model.

[0090] GNNs learn the global and local features of the entire pipeline network by passing and aggregating information between nodes through a multi-layer message passing mechanism. The model employs a residual network structure for nonlinear transformation to enhance its learning ability.

[0091] The deep integration of spatial attention mechanisms enables the model to intelligently allocate attention based on key dynamic constraints, prioritizing areas with the greatest impact on system safety and performance. The spatial attention mechanism can adaptively adjust the attention weights for different pipeline regions based on the dynamic information contained in the graph.

[0092] Guided by deep learning and spatial attention mechanisms using a GNN model, the system ultimately outputs optimized 3D pipeline centerline coordinates. Based on these generated centerline coordinates, the system can automatically construct a complete 3D pipeline model and convert it into a 3D pipeline construction drawing that conforms to engineering specifications. This construction drawing is not only geometrically accurate, but its layout scheme also incorporates optimal responses to dynamic constraints such as thermal expansion, fluid dynamics, and equipment vibration.

[0093] S4. Automated annotation of 3D pipeline construction drawings, and simultaneous verification of annotation information and mechanical properties.

[0094] Automated annotation of 3D pipeline construction drawings is an efficient and accurate way to add all the necessary engineering information to 3D pipeline models, replacing traditional manual annotation and avoiding omissions and errors.

[0095] An advanced automated annotation engine is deployed within the intelligent drawing unit. The engine automatically reads the generated 3D piping construction drawings and, using image recognition and natural language processing technologies, intelligently identifies all objects in the drawings, including pipes, fittings, and equipment. Based on preset industry standards and project specifications, the engine automatically adds corresponding annotation information to the identified objects. This information includes, but is not limited to: pipe segment number, pipe diameter, wall thickness, material, flow direction arrow, slope, weld number, and support / hanger number.

[0096] The system supports user-defined annotation templates and styles, and allows for real-time interaction with the design team. Based on feedback, annotation content can be adjusted and corrected to ensure the accuracy and completeness of drawings.

[0097] Furthermore, the simultaneous verification of annotation information and mechanical properties ensures that every piece of information annotated on the drawings is not only geometrically correct, but also mechanically safe under actual working conditions, thus achieving seamless integration of design and verification.

[0098] By integrating a high-efficiency engineering simulation solver (such as ANSYS) into a lightweight verification module, a finite element model for mechanical analysis is automatically constructed based on 3D pipeline construction drawings and their annotation information. Acquired dynamic fluid process parameters and thermal expansion displacements are applied as loads to the model. By running the solver, the stress distribution of the pipeline system under various operating conditions is calculated, with particular attention paid to stress concentration areas such as elbows, tees, and supports. Stress concentration factors are then constructed for mechanical simulation and verification.

[0099] The stress values ​​calculated by simulation are compared with the allowable stress of the material to verify whether the strength of the pipeline meets the specifications. This process achieves simultaneous verification of the labeled information and mechanical properties.

[0100] After automated annotation and synchronous mechanical verification, the system outputs a final, high-quality 3D pipeline construction drawing.

[0101] Furthermore, if the verification reveals potential risks, the system will generate a detailed verification report, clearly indicating the location of the problem and improvement suggestions, and provide feedback to the designers for modification, thus forming a closed-loop optimization process to ensure that the delivered drawings are safe and reliable.

[0102] The present invention also provides an electronic device, Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention, such as... Figure 3 As shown, the electronic device may include a processor, a communications interface, memory, and a communication bus, wherein the processor, communications interface, and memory communicate with each other via the communication bus. The processor can invoke logical instructions from the memory, for example, to execute the following method:

[0103] S1. Extract equipment tag number, pipeline grade and dynamic fluid process parameters, conduct construction feasibility constraint analysis, and obtain multimodal fusion data based on pipeline construction constraints and pipeline process parameters.

[0104] S2. Using multimodal fusion data, the three-dimensional pipeline system is structurally characterized by node and edge constraints, and the dynamic constraint map of the pipeline is obtained by verifying and validating it based on the dual channels of fluid mechanics and equipment vibration feedback.

[0105] S3. Deploy a graph neural network, based on the pipeline dynamic constraint graph, and perform deep fusion of spatial attention mechanism to obtain a three-dimensional pipeline construction drawing;

[0106] S4. Automated annotation of 3D pipeline construction drawings, and simultaneous verification of annotation information and mechanical properties.

[0107] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0108] This invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, is implemented to perform the methods provided in the above embodiments, including, for example:

[0109] S1. Extract equipment tag number, pipeline grade and dynamic fluid process parameters, conduct construction feasibility constraint analysis, and obtain multimodal fusion data based on pipeline construction constraints and pipeline process parameters.

[0110] S2. Using multimodal fusion data, the three-dimensional pipeline system is structurally characterized by node and edge constraints, and the dynamic constraint map of the pipeline is obtained by verifying and validating it based on the dual channels of fluid mechanics and equipment vibration feedback.

[0111] S3. Deploy a graph neural network, based on the pipeline dynamic constraint graph, and perform deep fusion of spatial attention mechanism to obtain a three-dimensional pipeline construction drawing;

[0112] S4. Automated annotation of 3D pipeline construction drawings, and simultaneous verification of annotation information and mechanical properties.

[0113] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0114] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic constraint-driven chemical 3D piping construction drawing generation system, characterized in that, The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system.

2. The generation system of claim 1, wherein, The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system.

3. The generation system of claim 2, wherein, The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system.

4. The generation system of claim 3, wherein, The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system.

5. The generation system of claim 4, wherein, The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system.

6. A method of generating, characterized by, The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline construction drawing generation method and system. The application relates to a three-dimensional pipeline 8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, which is executed by a processor, implements the steps of the generating method as claimed in claim 6.

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