45 results about "Metamodeling" patented technology

The invention relates to the technical field of artificial intelligence and big data analysis, in particular to a data operation system and method based on a knowledge graph, and the method comprises the steps: extracting an entity and semantic relationship from multi-source business data, and constructing a dynamic evolvable initial knowledge graph; node features are aggregated, and multi-dimensional situation state vectors are generated in combination with gating loop unit modeling behavior path dependence; through a structure-semantic coupling attribution scoring mechanism, a statistical information gain and semantic similarity are fused to identify a core driving factor, and a causal regression model of the factor and an operation target is established; dynamically adjusting the edge weight and the structure of the atlas in real time, and triggering a new path discovery mechanism to continuously optimize the atlas; and according to a quantitative business target, reversely extracting a high-confidence influence path from the atlas, and generating a personalized strategy combination through intervention simulation and multi-target Pareto optimization, thereby realizing intelligent recommendation and decision closed loop driven by an operation target. According to the invention, higher-precision operation situation awareness and strategy generation are realized.

The invention provides a steel bridge automatic finite element modeling method fusing three-dimensional point cloud and intelligent graph recognition, and the method comprises a bridge key construction external information automatic extraction method based on a point cloud model, and the method comprises the steps: carrying out the principal component analysis and transformation of a bridge point cloud principal axis; and secondly, carrying out secondary segmentation on the bridge structural member by using an adaptive threshold algorithm and a region growing RANSAC algorithm, and finally, realizing information extraction of a key carrier surface through a minimization loss function and parameterization expression, and accurately extracting external key parameters. On the other hand, a structure internal information extraction method based on deep learning and drawings is provided. According to the method, geometric dimension measurement and automatic finite element modeling can be automatically completed, reliable digital twin model support is provided for bridge safety assessment, and the method has high engineering application value.

The invention relates to the technical field of digital twinborn management, and discloses a full-life-cycle digital twinborn management system and a modeling method. A model driving unit; a decision optimization unit; and a credible evidence storage unit. The modeling method comprises the following steps: S1, analyzing a product design bill of materials; s2, establishing a topological mapping relation between the sensor nodes and the virtual model area; s3, running Monte Carlo simulation to predict the defect probability; and S4, binding and uploading the new virtual model version and the physical product serial number. Aiming at the problem of data dispersion in the prior art, the system automatically converges three types of heterogeneous data of geometric dimension design, working condition manufacturing and maintenance monitoring into a shared cache pool through a main data table of a unified metadata structure, so that cross-stage semantic alignment and time sequence synchronization are realized, data format difference is eliminated, and data consistency is remarkably improved.

Disclosed is a finite element modeling system and method for hydraulic fracturing problems based on a large language model. The method is implemented by the system. The method comprises: a user inputting a key description of a finite element model desired to be generated; a large language model of a cloud service platform generating a key parameter file; a mesh tool generating a mesh file; a parameter mesh coupling tool generating a finite element model file; a computing server executing the finite element model file, a system output unit prompting the user of completion of modeling and execution, and a display interface displaying a visualized finite element model and an execution result; the user determining whether an expectation is satisfied; if the expectation is not satisfied, the user re-inputting the description; if the expectation is satisfied, the user outputting the finite element model and the execution result.

The invention discloses a structure feature extraction and model correction system fusing convolution and a self-attention mechanism, relates to the technical field of structure engineering information, and aims at solving the problem that the structure feature extraction and model correction of a cable net structure can be realized by introducing a convolution-self-attention fusion mechanism and a double-domain consistency constraint optimization model in the whole process of cable net structure modeling, feature extraction and parameter correction. And the precision dynamic correction from the finite element simulation data to the actual measurement response data is realized. The output of the finite element modeling subsystem is used as a multilayer objective function, after the principal component screening subsystem extracts a sensitivity principal component, the system extracts a local correlation feature by using a convolutional neural network in a feature extraction stage, and then captures a global dependency feature by a self-attention mechanism, so that the model can pay attention to the micro-scale response of a local structure and also can pay attention to the global dependency feature. And the overall dynamic mode can be identified. Compared with a traditional mode, the disturbance consistency constraint and adversarial training mechanism is introduced, so that the network can still keep stable output under input disturbance.

The invention belongs to the field of artificial intelligence and industrial finite element analysis software, and particularly relates to an LLM agent-based Abaqus finite element modeling code generation method and device. According to the method, high-precision and high-reliability finite element analysis script generation is realized through construction of an instruction-code pair database, semantic retrieval and instruction reasoning, code generation and verification and lightweight model deployment. Comprising the following steps: constructing an instruction-code pair database; performing semantic retrieval and instruction reasoning; code generation and verification; and lightweight model deployment. By using the method, the accuracy and the reliability of finite element analysis script generation can be effectively improved, and the threshold and the cost of an engineering simulation task are remarkably reduced. The industrial finite element analysis software script generation method based on the large model agent can be widely applied to finite element analysis tasks in the fields of aerospace, machine manufacturing and the like.

The invention relates to a power grid project basic design system and method based on a general function module. The system comprises a general editing module, a basic primitive modeling module, a parameterized component module, a model integration module and a link reference module. The universal editing module is used for freely adjusting, placing and combining the selected primitives; the basic primitive modeling module is used for providing various basic primitives and completing splicing among the primitives through surface-based arrangement and parameter change; the parameterized component module is used for creating parameterized components in a UI interaction mode; the model integration module is used for importing a public data format through an interface to carry out modeling and design operation; and the link reference module is used for integrating the local file into the current model in the system through the model link reference interface to serve as view reference. Compared with the prior art, the method has the advantages that the technical architecture and functional system design of the design foundation platform is completed under the guidance of the power grid engineering design requirements, and the efficiency is improved.

The present invention relates to the field of computer simulation technology, and specifically to a composite material ply dropout design and finite element modeling method, comprising the following steps: S1: obtaining the geometric surface and ply information of all ply regions of a composite material part through a CATIA interface and storing the information as a region list; S2: utilizing the CATIA geometry processing capabilities and interface to quickly generate ply dropout lines on the geometry of these regions and display ply dropouts. The present invention utilizes the interface capabilities of CATIA and HyperMesh to read composite material ply region information, automatically generate and display dropout lines, and automatically create finite element models, effectively solving the problems of low efficiency and poor accuracy in traditional design and modeling. It can quickly and accurately complete composite material ply dropout design and finite element modeling, significantly improving the quality and efficiency of composite material structure design.

The invention provides a fastener multi-load state simulation finite element modeling method with one-way compression inhibition. Comprising the following steps: 1) designing a multi-unit collaborative modeling structure; 2) designing an asymmetric load transfer mechanism; and 3) designing a calculation efficiency optimization strategy. The technical problems that in traditional entity unit modeling, computing resource consumption is large, force transmission path simulation is inaccurate, and fastener connection modeling is difficult are solved.

The invention belongs to the technical field of oil and gas field development engineering, and particularly relates to a conglomerate reservoir horizontal well perforation completion discrete element modeling method. The method comprises the following steps: extracting a conglomerate contour of a target area; taking the conglomerate contour of the extracted target area as a constraint boundary, generating a plurality of discrete small ball particles to fill the interior of the conglomerate contour and the residual matrix area, and further generating a conglomerate discrete element model; the method comprises the following steps: acquiring field perforation well completion data of a horizontal well in a target area, and converting the field perforation data to generate a horizontal well shaft wall unit containing perforations; the field perforation completion data at least comprise perforation depth, perforation aperture, perforation density, wellbore diameter and wellbore length parameters. Through the conglomerate reservoir perforation horizontal well fracturing simulation technology, the limitation of a traditional homogeneous model is broken through, and accurate reduction of the heterogeneity of a real reservoir is achieved.

The invention relates to the technical field of combination of bridge building finite element modeling and an artificial intelligence large model, in particular to a finite element modeling error diagnosis and automatic correction method and system. The method comprises the following steps: constructing a pre-training finite element large model and a structured finite element error corpus; receiving finite element modeling error reporting information input by a user, and judging an error type corresponding to the error reporting information based on the pre-trained finite element large model and the structured finite element error corpus; searching a matched candidate repair scheme in a structured finite element error corpus according to the error type; integrating and optimizing the candidate repair schemes through a pre-trained finite element large model to generate a target correction scheme; and outputting the target correction scheme to a user side to complete diagnosis and automatic correction of finite element modeling errors. The problems that finite element error reporting information is obscure and difficult to understand, and engineers are difficult to position quickly are solved.

The application discloses a kind of production line unit modeling methods for digital twin monitoring, comprising the following steps: S1, establish production line scene data architecture;S2, establish warehouse production line system requirement diagram and monitoring application requirement diagram;S3, establish warehouse production line structure diagram, equipment structure diagram, value definition diagram, establish warehouse production line activity diagram, equipment activity diagram, equipment mathematical model;S4, establish the object node and variable of OPC UA information model;S5, establish equipment three-dimensional model in Solidwork, import three-dimensional simulation software VC in intermediate format STP;S6, define the operation flow of production line, the operation constraint relationship between each equipment;Define the independent and dependent relationship between each motion structure;S7, according to equipment mathematical model, establish corresponding data structure, determine the data source to collect data and update OPC UA information model.The application has good visualization and interactivity, and production line state feedback is timely, can effectively help manager to understand production line state, improve management efficiency.

This invention relates to a finite element model assembly method and system based on the DMIG principle. The method includes: Step S1: Performing finite element modeling on the original structural model according to the structural composition and analysis requirements, and extracting specified component models; Step S2: Remodeling the extracted component models according to functional needs to obtain reconstructed component models; Step S3: Assembling and analyzing the reconstructed component models with the remaining structural model based on the DMIG principle. The method provided by this invention improves the accuracy and efficiency of local component analysis.

The application provides an interactive component assembly module design method, a simulation software construction method and device, and the interactive component assembly module design method comprises the following steps: constructing a data structure class diagram describing the correlation relationship between a geometric component object and a component instance object; determining the method interface required to be provided by the object in the interactive diagram when the component instance object realizes the component assembly function based on the data structure class diagram, and designing an interactive component assembly module based on the interactive diagram and the method interface. The data structure class diagram and the interactive diagram provided by the application meet the cross-module data correlation requirements of the geometric modeling, component assembly and meshing and other modules in the finite element modeling process, realize the assembly function development based on the geometric component object, and effectively improve the expansibility and maintainability of the designed interactive component assembly module.

The application belongs to the field of finite element modeling, and particularly relates to a finite element modeling method considering multi-scale characteristics of an assembly interface, structural data of a rough surface is collected, a rough surface height matrix is obtained after convolution coefficient calculation; an ideal surface corresponding to the rough surface is determined, and geometric information of the ideal surface is obtained; the rough surface height matrix is modeled and superimposed on the ideal surface to obtain superimposed rough surface information; finite element modeling is performed on different superimposed rough surface information of the multi-scale surface to obtain a finite element model containing multi-scale characteristics of the assembly interface. The technical problem that existing finite element modeling software and tools cannot directly realize multi-scale modeling of the assembly interface and can only establish a model based on ideal product size, resulting in an ideal smooth contact state of the assembly interface, is solved, and the multi-scale characteristics of the assembly interface are successfully included in the product finite element model, so that the model can contain multi-scale geometric information of the actual surface of the part.

The invention relates to an automatic modeling method for a finite element model of a shock absorber based on Hypermesh secondary development. The automatic modeling method comprises the following steps: inputting a geometric model; automatically extracting the middle surface of the thin-wall part; a thin-wall part 2D mesh and a solid part 3D mesh are automatically divided; batch creation of Rbe1, Rbe2 and Rbe3, batch creation of welding spots and welding seams, batch creation of contact pairs, and batch creation of working condition stress and control cards; and submitting calculation and automatically exporting a simulation report. According to the method, secondary development is carried out by applying TCL and TK languages on the basis of the Hypermesh environment, a solution is provided for solving the difficult problems that modeling of a finite element model of the shock absorber is tedious and the manual operation error rate is high, when finite element modeling is carried out on the shock absorber, tedious manual operation can be greatly reduced by adopting the method, the working efficiency is improved, and the method is suitable for large-scale popularization and application. Meanwhile, the labor cost can be remarkably reduced, the modeling speed is increased, and the research and development period is shortened.

The present invention discloses a method for predicting tunnel excavation deformation characteristic curves based on a proxy model, comprising the steps of: 1. determining input variables and their value ranges; 2. parameterizing and characterizing the tunnel excavation deformation characteristic curve; 3. establishing and training a proxy model; 4. predicting the tunnel excavation deformation characteristic curve parameters; and 5. drawing the tunnel excavation deformation characteristic curve. The present invention parameterizes and characterizes the tunnel excavation deformation characteristic curve and establishes a proxy model for predicting tunnel excavation deformation characteristic curve parameters. Without the need for finite element modeling and analysis of the tunnel excavation construction process, the corresponding tunnel excavation deformation characteristic curve parameter values ​​are directly obtained, thereby rapidly predicting the tunnel excavation deformation characteristic curve, reducing the prediction workload and significantly improving prediction efficiency. This method overcomes the bottleneck of traditional simulation analysis and prediction methods, which are unable to rapidly predict tunnel excavation deformation characteristic curves, and has broad application prospects in tunnel construction safety control and support optimization design.

The application discloses a single fulcrum flexible wall nozzle profile curve design method. The method comprises the following steps: obtaining design parameters and a target profile curve of a single fulcrum flexible wall nozzle; determining initial values of support rod parameters according to the design parameters; writing a profile curve calculation program by using MAPLE software, inputting the design parameters and the initial values of the support rod parameters into the profile curve calculation program, and calculating the profile curve; subtracting the target profile curve from the profile curve to obtain a profile curve deviation; when the profile curve deviation is greater than a maximum profile curve deviation, adjusting the numerical values of the support rod parameters according to the profile curve deviation, repeatedly performing iterative calculation by using the MAPLE software, and obtaining the profile curve deviation between the profile curve and the target profile curve being less than the maximum profile curve deviation until the profile curve is obtained. The application does not use a finite element modeling simulation process, has the advantage of short design period, and guarantees the solving precision through elliptic integral solving derived according to the Euler-Bernoulli beam large deformation theory.

The invention relates to the technical field of tire finite element simulation design, in particular to a method, a system, a medium and a software product for calculating contribution of a tire part to radial rigidity. The method comprises the steps that a two-dimensional tire finite element model is established, inflation pressure is applied, a three-dimensional model is generated, a load is applied, and the radial rigidity of a complete tire is calculated; the Young modulus of the target part is reduced to 0.01%-5% of a design value, simulation is repeated, and rigidity after modification is calculated; and calculating a rigid contribution value and a contribution rate of the component through a difference value between the two values. The system comprises a finite element modeling module, a simulation module, an attribute adjustment module and a rigidity analysis module. On the premise of ensuring the continuity of a simulation structure and the consistency of working conditions, the method can accurately peel off the contribution of the component, is suitable for different tire structures, and has the advantages of high precision, high universality, low cost and the like.

The invention discloses a mechanical system dynamics modeling method, and relates to the technical field of mechanical dynamics, and the method comprises the steps: decomposing a target mechanical system into a set of a plurality of structural components; performing finite element modeling on each structural component to obtain a finite element model of each structural component; performing dynamic order reduction processing on the finite element model to obtain a polycondensation model of each structural component; integrating and coupling the polycondensation model into a system body dynamic model based on the motion parameters of each motion axis of the target mechanical system and the system assembly relationship; and coupling the dynamical model of the end effector with the system body dynamical model to obtain a target system dynamical model. The whole machine is decomposed into components, order reduction processing is carried out on the components respectively, dynamic integration is carried out according to real-time motion parameters, real dynamic behaviors of a mechanical system in different working spaces are accurately reflected, and limitation of traditional static modeling is overcome.

The invention provides a plate spinning solid shell unit modeling and simulation visualization method based on ABAQUS, and belongs to the field of spinning forming numerical simulation. The method comprises the following steps of: constructing a calculation module by using a Fortran language and packaging the calculation module into a VUEL subprogram which can be called by ABAQUS; a subprogram VUSDFLD used for redefining variables on the integration points is written in the Fortran language; a three-dimensional finite element model of plate spinning is established in the ABAQUS; and calling an ABAQUS / Explicit solver and a subprogram to perform plate spinning simulation to obtain an ODB result file, constructing a result file reconstruction tool based on a Python secondary development technology of the ABAQUS, extracting node data of a calculation component and unit integral point data of a storage component, and creating a new ODB file for visualization. The method solves the problem that the simulation result of the user-defined entity shell unit (such as VUEL) in the ABAQUS cannot be directly written into the ODB file, so that post-processing visualization is difficult.

The invention provides an automatic modeling method for CAE welding spots of an automobile body with a GUI (Graphical User Interface), which comprises the following steps of: performing secondary development in finite element preprocessing software through a welding spot CSV table file and a welding spot CSV file based on a universal script language (TCL) embedded in the finite element preprocessing software, and sequentially performing model and data preparation and welding spot information analysis and screening; the method includes the steps of welding spot hierarchy judgment according to the state of a connection object, connection assembly matching, welding spot configuration file generation, welding spot connector establishment and welding spot validity verification, welding spot automatic modeling in the body-in-white finite element modeling process is completed, it is ensured that the welding hierarchy relation is correct, the time for welding spot refined establishment is greatly shortened, and the welding spot modeling efficiency is improved. And the method has great engineering significance.

The application relates to the technical field of digital twin management, and discloses a full-life-cycle digital twin management system and a modeling method, which comprise a data fusion unit, a model driving unit, a decision optimization unit and a trusted storage unit. The modeling method comprises the following steps: step S1, analyzing a product design bill of materials; step S2, establishing a topological mapping relationship between a sensor node and a virtual model area; step S3, running a Monte Carlo simulation to predict a defect probability; and step S4, binding a new virtual model version with an entity product serial number and chaining. According to the problem of data dispersion in the prior art, the system automatically imports three types of heterogeneous data, namely design geometric dimensions, manufacturing conditions and maintenance monitoring, into a shared cache pool through a main data table of a unified metadata structure, realizes cross-stage semantic alignment and time sequence synchronization, eliminates data format differences, and significantly improves data consistency.

The invention discloses a material identification discrete element modeling simulation method based on a deep learning network, and belongs to the technical field of excavator load control, and the method comprises the steps: S1, carrying out the image information collection of a material; s2, extracting and labeling the picture information of the material, and making a picture data set; s3, preprocessing the pictures of the data set; building a deep learning network model of a U-Net structure; s4, sending the preprocessed data set picture into a model for pre-training, and storing network parameters after training is completed; s5, inputting an actual material scene picture into the model to complete particle size segmentation of the material to obtain a result of particle size distribution of the material; and S6, importing the model into EDEM software and filling particles to complete the establishment of the discrete element model of the material information. The method has the advantages that the material distribution information can be quickly and accurately evaluated, quick modeling of the material discrete element is realized, accurate operation load data is obtained, and the precision of a simulation calculation result is improved.

This invention discloses a Python-based parametric modeling method for wind turbine blades, relating to the field of finite element analysis technology. By combining Python with an Abaqus scripting interface, this invention automates the entire process of geometric modeling, model segmentation, mesh generation, material property assignment, assembly arraying, and contact and boundary condition setting for the blade root segment, blade root bolts, flanges, bearings, hub, and hub bolts. The final result is the generation of a semi-model (CAE and INP) file of the blade root. This invention significantly reduces the finite element modeling time for blade roots, decreasing the modeling efficiency from tens of hours using traditional manual methods to minutes. It effectively reduces human error and provides a simple and intuitive interactive interface, offering a reliable technical means for the rapid iterative design and analysis of blade root structures.

The invention discloses a curvature-guided momentum adaptive trajectory decision-making method based on multi-path time sequence fusion, and belongs to the technical field of intelligent navigation and deep reinforcement learning. The sequential memory modeling captures track continuity dependence, and a smoother and more stable motion track is generated. Modeling is carried out through the lightweight cross-scale recurrent neural unit, decision making can be carried out by considering historical trajectory information, dramatic changes of decisions at adjacent moments are avoided, and the long-term planning ability is improved. The hierarchical reward architecture decouples multi-objective optimization into a hierarchical structure with clear semantics, thereby facilitating parameter adjustment and preference customization. A user can adjust weight configuration of the task layer, the behavior layer and the risk layer according to actual requirements, and personalized trajectory optimization is achieved. A cost weight adaptive mechanism realizes high-level decision space abstraction, and the interpretability and stability of the strategy are improved. The intelligent agent realizes a high-level decision-making mode similar to a human navigation strategy by adjusting a semantic cost weight instead of directly outputting a bottom-layer control command.

The invention provides a shield tunneling machine composite stratum tunneling prediction method based on discrete element simulation and a storage medium. The shield tunneling machine composite stratum tunneling prediction method comprises the steps of collecting stratum parameters of a shield construction section; establishing a three-dimensional model of the cutterhead; constructing a single-layer geological soil model in discrete element modeling software to form a tunneling simulation model; setting the thrust and the rotating speed of the cutterhead to carry out single-layer geological tunneling simulation, and obtaining tunneling speeds under different working conditions; establishing a mathematical model of the single-layer geological tunneling speed; according to the method, simulation is conducted on the single-layer geological tunneling process of the shield tunneling machine through EDEM software, a large amount of single-layer geological simulation data are obtained, the tunneling progress prediction from the single-layer geology to the composite stratum is achieved through weighted calculation, the prediction precision problem caused by insufficient data in the early stage of construction is solved, and the construction efficiency is improved. And the influence of the stratum change in the composite stratum on the tunneling efficiency can be effectively dealt with, and a reliable technical means is provided for accurate prediction of the tunneling progress of the shield tunneling machine.

The invention discloses a satellite Internet of Things cloud edge intelligent collaborative information modeling method and system, and the method comprises the steps: constructing a four-layer meta-modeling architecture based on a unified modeling language (UML) (M3 meta-model layer defines a language basic structure, M2 meta-model layer generates a terminal description model, M1 application model layer stipulates equipment public attributes and behavior protocols, and M1 application model layer stipulates equipment public attributes and behavior protocols; the M0 object model layer provides a real-time data instance), and the problem of heterogeneous terminal standardization deficiency is solved; the method comprises the following steps of: integrating three elements, namely a static attribute (equipment identity information), a dynamic attribute (physical quantity change data), a message (abnormal state report) and a service (remote action command) to form a terminal holographic portrait; a JSON lightweight data exchange format is adopted to replace XML, and element information is serialized and described through a key value pair, so that the storage and transmission overhead is remarkably reduced. And B, unified description of a terminal model is realized, consistent data input is provided for cloud edge collaboration, the fault positioning efficiency is improved, and open sharing and fusion application of satellite Internet of Things data is supported.

The application discloses a portal bridge crane box-shaped main beam parameterized modeling and optimization design method, and belongs to the technical field of mechanical design, which comprises the following steps: realizing parameterized geometric modeling of the main beam of the crane in a three-dimensional modeling software; automatically importing a geometric model output by the three-dimensional design software into a finite element pre-processing software, and performing modeling pre-processing on the geometric model to establish a parameterized finite element simulation model of the main beam of the crane; performing pre-processing and solution calculation on the finite element simulation analysis of the main beam structure of the parameterized finite element simulation model; establishing an approximate proxy model of the parameterized finite element simulation model based on DOE analysis of the finite element; and using an optimization algorithm to perform optimization under safety and manufacturability constraints for the approximate proxy model on the basis of the parameterized finite element simulation model. Through the application, simple parameterized finite element modeling of the design of the main beam of the crane box can be realized, and the most economical lightweight crane structure size can be quickly found.