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30 results about "Full model" patented technology
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Welding simulation heat source parameter calibration method and system based on hybrid agent model
The invention discloses a welding simulation heat source parameter calibration method and system based on a hybrid agent model, and belongs to the technical field of welding numerical simulation and optimization, and the method comprises the following steps: S1, problem definition and experiment design; s2, analyzing a product structure and constructing a joint model; s3, parameter space sampling; s4, performing simulation calculation; s5, constructing a mixed agent model; s6, proxy model optimization based on a genetic algorithm; s7, parameter verification and model updating; and S8, optimizing and outputting optimal parameters. According to the method, most time-consuming full-order finite element calculation is replaced by the proxy model and the simplified joint model, the parameter calibration process is shortened from several days or weeks to several hours, and the optimization efficiency is improved; a simplified model and a complete model are used for optimization, firstly, the simplified model is used for rapidly obtaining an optimal parameter approximate value, and the complete model is used for obtaining accurate parameters.
Owner:CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
Multi-system ai repository controller
Systems and methods are provided for creating a machine learning (ML) model staging repository, where ML models are stored as an open container image (OCI). The OCI comprises layers or portions of the complete ML model, so that the model can be stored separately and as a smaller files. The ML models may be pre-packaged for automated downloads and integration at the customer site. In some examples, the OCI can identify / store the model in a directory structure that defines the model and its profile. The OCI can comprise a combination of layers and profiles that allows the AI platform to optimize the storage and simplify the process of downloading or updating the given user namespace instead of downloading a single large file for the model.
Owner:HEWLETT PACKARD ENTERPRISE DEV LP
Metacomponent-based modeling method for each stage of bridge
The invention discloses a modeling method for each stage of a bridge based on meta-components. The method comprises the following steps: constructing a bridge full-life-cycle digital representation description rule based on the meta-components; developing a meta-component model in a construction drawing design stage; performing simplification and recombination on the basis of the meta-component model of the construction drawing design stage, and generating models of a preliminary design stage and a planning stage; carrying out refined expansion on the basis of the meta-component model of the construction drawing design stage, and generating models of a construction stage and an operation stage; and establishing a full-cycle model management system. According to the modeling method for each stage of the bridge based on the meta-components, the full-life-cycle digital representation description rule is constructed, the meta-component models in the construction drawing design stage are developed, effective conversion of models in different stages is achieved, and a full-cycle model management system is established; the problems of low efficiency and the like caused by incomplete information transmission and repeated model creation in the prior art are solved.
Owner:POWERCHINA HUADONG ENG CORP LTD
Ship workpiece point cloud reverse modeling method based on OpenCasCide
The invention relates to the technical field of computer graphics and reverse engineering, in particular to a ship workpiece point cloud reverse modeling method based on OpenCasCad, which comprises the following steps: collecting ship workpiece point cloud data through laser 3D scanning; preprocessing the point cloud by adopting uniform sampling and radius filtering; segmenting the point cloud into a bottom surface point cloud and a top surface point cloud through slicing processing and region growth, and extracting contour data containing vertex data and normal vectors; constructing a unique bottom plane based on bottom surface contour data fitting; projecting the top surface and the bottom surface to the bottom plane, carrying out gap splicing on the top surface, and fitting a minimum external contour on the bottom surface; and stretching the top surface along the reverse direction of the normal of the bottom plane, cutting the stretched entity by using the original top surface, and splicing with the bottom surface to form a complete model. According to the method, the problems of non-coplanar contours, inclined plane deviation, gap defects and the like in the prior art are solved, the modeling precision and efficiency are improved in combination with OpenCasCad, and the method is suitable for reverse modeling of complex workpieces of ships.
Owner:WUXI XINJIE ELECTRICAL
An equivalent conversion method for automatically converting a three-dimensional geological model into a finite element model
The present invention discloses an equivalent conversion method for automatically converting a 3D geological model into a finite element model, which relates to the technical field of engineering information models. The method includes: obtaining the mesh nodes of each geological body model in the 3D geological model in the CAD platform and the original connection relationships of the mesh nodes; establishing a set of formation interface points and corresponding set plane boundaries for each geological body model; establishing the full model boundary of the 3D geological model; determining the formation type; establishing new connection relationships that integrate the set of formation interface points, the top surface set, the bottom surface set, and the lens body set and the mesh nodes corresponding to the mesh node numbers within the set; and reconstructing and generating a model in the CAE software according to the numbers, spatial coordinates of the mesh nodes, and the new connection relationships of the mesh nodes. The present invention cross-verifies and corrects the mesh nodes obtained from the CAD platform, and then reconstructs and calculates the model in the CAE platform by re-establishing the connection method, realizing the automatic conversion of the model from the CAD platform to the CAE platform.
Owner:ANHUI TRANSPORT CONSULTING & DESIGN INST
Finite element full-model calculation method for transient high-pressure gas driven steel ball
PendingCN120597637ADesign optimisation/simulationSpecial data processing applicationsScale modelSystems design
The invention relates to a transient high-pressure gas driven steel ball finite element full-model calculation method, which comprises the following steps of: establishing a three-dimensional geometric model containing air, high-pressure gas, a steel ball and a shell, and defining material attributes of each part, including a high-pressure gas state equation, a steel ball elastic modulus, a shell yield strength and the like; according to the method, finite element grids are divided by adopting a specific method, the steel balls are converted into dem particles, shell hexahedral grids are formed, SALE structured grids with default structures are adopted for high-pressure gas and air, and accurate simulation of the movement process of the steel balls driven by the high-pressure gas is achieved by utilizing lsdyna solving and lsprepost post-processing; according to the method, the speed of generating the steel ball model is increased by more than 50%, efficient construction of a large-scale model is supported, the calculation efficiency is improved, the accuracy is high, the complex arrangement structure of the steel balls can be reflected, the expandability is high, the method is suitable for high-pressure gas cavities and steel balls of different shapes, sizes and materials, and the method can be expanded to other transient gas driving systems. And a reliable basis is provided for system design and optimization.
Owner:JIANGNAN IND GRP CO LTD
Model prediction-based accelerated AI large model distributed training method and device
This invention discloses a method and apparatus for accelerating distributed training of large AI models based on model prediction. The method includes: constructing a hierarchical parameter dataset; training a prediction model for predicting model parameters of a target model using an evaluation method based on prediction results; computing nodes updating the model parameters of some layers of the target model and then pushing them to a parameter server; on the parameter server, aggregating the received model parameters and predicting the model parameters of the remaining layers of the target model using the prediction model; concatenating the predicted and aggregated model parameters into a complete model parameter set and pushing it to all computing nodes; and replacing the local model parameters with the received complete model parameter set. The prediction model adopts a "convolution + channel attention mechanism + pooling" structure. This invention can significantly reduce communication volume without introducing a large amount of computational overhead while maintaining the accuracy of the target model.
Owner:GUANGZHOU UNIVERSITY
A transformer model-based temperature field simulation calculation method and device
The application discloses a kind of temperature field simulation calculation method and device based on transformer model, by obtaining and according to transformer parameter, transformer three-dimensional one-grade model is constructed, wherein the transformer three-dimensional one-grade model includes core, single-phase winding and oil tank;Based on the model single-phase current of the transformer three-dimensional one-grade model is calculated, the model single-phase current calculated is input into the transformer three-dimensional one-grade model, and the single-phase loss density of transformer is obtained;The model simulation parameter of transformer is set, according to the model simulation parameter and the single-phase loss density, the transformer three-dimensional one-grade model is iterated and simulated, and the transformer temperature field simulation result is obtained.Compared with prior art, the technical scheme of the present application simplifies the existing transformer model, solves the problem of large amount of calculation, difficult mesh partitioning and long calculation time in the existing three-dimensional full model, and can improve the simulation calculation efficiency of transformer three-dimensional one-grade model.
Owner:GUANGDONG POWER GRID CO LTD +1
Model training method and device based on data flow, computer equipment, storage medium and program product
The invention relates to a model training method and device based on data flow, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that under the condition that a reading condition is met, training data are read from a preset cache region, and the preset cache region is used for storing real-time data of a data stream; based on the training data, performing parameter fine tuning training on an increment module in the to-be-trained model, and taking the trained to-be-trained model as an increment model; the to-be-trained model is obtained after an increment module is loaded on the main model; and generating a target model according to the main model and each incremental model. Therefore, by introducing the increment module, the traditional fine-tuning training of full-amount model parameters of the main model is changed into efficient parameter fine-tuning of the lightweight increment module, so that the computing resource consumption and the time cost in the model training process are effectively reduced, and the model training efficiency is improved; and the updating timeliness of the model adaptive business data is ensured.
Owner:CHINA TELECOM CLOUD TECH CO LTD
Template-based sql data warehouse near-duplicate model propagation for knowledge identification and management
The application provides a template SQL data warehouse near-duplicate model propagation sensing and management method, natural language phrase preprocessing is performed on model names, a first layer wide recall is performed in combination with low-cost signals, a small amount of candidates are quickly screened out from full models, business concept consistency discrimination and SQL logic deep comparison are sequentially performed on the candidate model pairs, layer-by-layer convergence is performed, and model pairs that truly constitute near-duplicate relationships are confirmed. The confirmed near-duplicate model pairs will be introduced into version history analysis, and through time characteristics such as first occurrence time difference and coexistence time length, two cause types of "creation is redundancy" and "replacement fails residual" are distinguished. For the identified residual, whether it induces derived redundancy is tracked downstream along the pedigree diagram, and multiple near-duplicates on the same propagation chain are merged into the root residual at the most upstream through propagation folding. Finally, the propagation coverage range, coexistence time length and other factors are comprehensively considered to generate a management priority ranking for the root residual.
Owner:JIUZHANG ARITHMETIC (ZHEJIANG) TECH CO LTD
Linear model partitioner
The disclosed embodiments related to multilateral portfolio compression using general large-scale linear optimization which pre-processes a model to decrease model size using domain knowledge to remove variables to reduce dimensionality, thereby making the model faster to solve and improving numerical characteristics. but it would not remove, for example, as much as half of the model, but rather a smaller fraction. The disclosed pre-processing enables an approximate solution for large, linear optimization models by automatically iteratively and selectively partitioning them into independently easily solvable sub-models. The sub-models are themselves linear optimization models, which can be solved with any preferred algorithm or library. The solutions for each sub-model are aggregated to obtain an acceptable, e.g., approximate, solution for a large model without solving the full model. At each iteration the disclosed embodiments will have a valid, feasible solution, if the user is satisfied before full convergence.
Owner:CHICAGO MERCANTILE EXCHANGE INC
Modeling analysis method for turbomachinery center-pole rotor based on rough contact interface
The application discloses a kind of based on rough contact interface turbomachinery center pull rod rotor modeling analysis method, belong to turbomachinery high temperature rotor technical field.The present application includes calling pre-trained contact stiffness prediction model, input current operating condition roughness parameter and load parameter, obtain the predicted stiffness of contact interface;The three-dimensional finite element model of rotor is established, the mesh division is carried out to contact interface area, and nonlinear spring damping unit is set between the corresponding nodes of contact interface;The predicted stiffness obtained is given to the nonlinear spring damping unit, and the reduced degrees of freedom are carried out to the finite element model after stiffness assignment using hybrid modal reduction method, and the reduced model is solved for vibration response, the fidelity of the model is ensured, the full model solving degree of freedom is greatly compressed by hybrid reduction method, while not affecting the accuracy of the model, reduce the amount of calculation, facilitate the analysis and solution of model.
Owner:XI AN JIAOTONG UNIV
A method and system for constructing a long-term future power flow section in a power grid based on a multi-version model
ActiveCN119627933BData processing applicationsSingle network parallel feeding arrangementsAlgorithmState model
The application discloses a kind of based on the construction method and system of long-term future flow section in power grid of multi-version model.The method is based on model multi-version library to query future state model version information;According to future state model version information, corresponding model data and current real-time state model data are extracted in model multi-version library to form complete full model data by model splicing, and real-time state estimation mode data is inserted into full future model;Then, for the incremental equipment in future version model, automatic grid-connection processing is carried out relying on deep topological search technology, and complete initial mode data is given to the future model;Finally, according to multiple future model versions, the future section of multiple time scales is intelligently grouped, future boundary planning data is superimposed, and the construction of long-term future flow section is completed.The application can effectively improve the accuracy and reliability of future flow calculation.
Owner:NARI TECH CO LTD
Embedding Patches for Localized Improvement of Embeddings
Provided are computer-implemented systems and methods which improve embedding generation model performance with respect to localized quality issues. In particular, the proposed techniques can operate to improve localized embedding model performance without incurring significant re-training costs and / or re-deployment costs associated with full model re-training.
Owner:GOOGLE LLC
FPGA-based hardware-aware differentiable BERT layer head pruning method
ActiveCN115545187BEnergy efficient computingPhysical realisationAlgorithmTheoretical computer science
The present invention discloses a hardware-aware differentiable BERT layer head pruning method based on FPGA. The method includes the following steps: introducing the idea of differentiable NAS, setting an architecture parameter for each encoding layer, each attention head, and each feedforward neural network (FFN) dimension of the pre-trained BERT model; simulating a single-layer BERT model to obtain the latency and power consumption results of the four modules; calculating the latency L corresponding to the single-dimensional sub-module. s Score and power consumption P s Score; calculate L for the full model f Score and P f The method trains and updates the model's weight parameters to minimize the overall loss. After model training converges, the corresponding model structure is pruned for any values below a threshold. This method can compress the BERT-base model's parameters by 1.8 times without sacrificing accuracy, while also reducing inference latency on FPGAs by 2.1 times and power consumption by 1.9 times.
Owner:SHANGHAI PUDE INFORMATION TECHNOLOGY CO LTD
An irregular concrete modeling method and readable storage medium
Owner:CHINA MCC5 GROUP CORP LTD
A side type water inlet and outlet full model parameterization modeling method and system
This invention provides a parametric modeling method and system for a full model of a side-type inlet / outlet, relating to the field of hydraulic engineering technology. The method includes: generating a coordinate transformation matrix based on the engineering parameters and number of inlets / outlets; integrating and processing the two-dimensional control points of the inlet / outlet structure's outline with unit normals to obtain a homogeneous unit normal matrix, and determining equidistant offset lines tangent to the pier head arc of the inlet / outlet structure; generating two-dimensional control points for the pier head arc based on the equidistant offset lines; stacking all two-dimensional control points of the inlet / outlet structure into a control point matrix to generate a three-dimensional model of the inlet / outlet structure; combining the engineering parameters of other structures to generate three-dimensional models of other structures, and then combining the coordinate transformation matrix to generate a full model of the side-type inlet / outlet. This invention improves the speed of parametric modeling of a full model of a side-type inlet / outlet reservoir area and enhances the stability of the modeling process.
Owner:NORTHWEST ENGINEERING CORPORATION LIMITED
Integral frame structure of wind tunnel full-model test section
The invention discloses a wind tunnel full-model test section overall frame structure which comprises an upper frame, a lower frame and stand columns, the stand columns are connected between the upper frame and the lower frame, the upper frame, the lower frame and the stand columns jointly form a front-back through box type frame, and the front ends of the upper frame, the lower frame and the stand columns are connected with inlet flanges. The rear ends of the upper frame, the lower frame and the stand columns are connected with outlet flanges. The wind tunnel test platform has the beneficial effects that a traditional passive support platform is upgraded into an active controllable platform, the pain points of geometric stiffness, difficult transformation, difficult interference control and the like of a static frame are overcome through modular and mechanical-electrical integration design, and cooperative rise of efficiency, precision and flexibility of a wind tunnel test is realized; and physical and control interfaces are reserved for future function extension.
Owner:INST OF HIGH SPEED AERODYNAMICS OF CHINA AERODYNAMICS RES & DEV CENT
Nozzle throat liner ablation prediction system based on data mining
The invention relates to a nozzle throat liner ablation prediction system based on data mining, which belongs to the technical field of aerospace and comprises a data import and loading module, a full model training module, a selective verification module, a prediction module and a result export module. The data importing and loading module is used for importing historical data and inputting the historical data into the model training module; the full model training module processes the data through a plurality of data mining algorithms to generate a prediction model; the selective verification module is used for selecting different types of models for training and verification according to requirements; the prediction model performs ablation prediction through real-time data input; the result export module stores the prediction result; the method has the beneficial effects that the ablation trend of the nozzle throat liner can be predicted in advance, replacement is carried out in time, nozzle faults caused by serious ablation are avoided, assistance is provided for designers to accurately estimate an inner trajectory and provide accurate ablation data, and the safety and reliability of a system are improved.
Owner:SHANDONG UNIV OF TECH +2
IEC61850-based visual modeling method, device, equipment and medium
The invention relates to an IEC61850-based visual modeling method, device, equipment and medium, and the method comprises the steps: creating a target template file according to an IEC61850 standard, the target template file comprising a model hierarchical structure and a type definition; displaying a visual interface matched with the model hierarchical structure, and receiving a protocol parameter set and a point location information set of a configuration target template file input by a user through the visual interface; correspondingly storing the protocol parameter set and the point location information set in a mapping container, and generating a structured data set based on the mapping container; and by taking the type definition as a constraint basis, generating model content according to the structured data set, and writing the model content into the target template file to obtain a complete model file. A visual interaction and automatic data processing mechanism is introduced in a modeling process, so that the problem of how to reduce professional technical requirements on engineers while efficiently modeling is solved.
Owner:SHANGHAI DONGTU ZHIYUAN INTELLIGENT TECH DEV CO LTD
Product full life cycle generality BOM model construction method and related equipment
PendingCN121169023ADatabase updatingDatabase distribution/replicationFull life cycleReverse analysis
The invention relates to the field of product data asset information technology application, and discloses a product full life cycle generality BOM model construction method and related equipment, and the method comprises the steps: obtaining a BOM demand structure of a new product and a repaired product in a product full life cycle; based on the current BOM structure, reversely analyzing BOM table demand structures of business domains of two important stages of a new product and a repaired product in a full life cycle of the product to obtain a BOM missing item and a BOM generality analysis result; according to the analysis result, respectively reconstructing a complete BOM model structure of the new product and a complete BOM model structure of the repaired product; and on the basis of the obtained complete BOM model structures of the new product and the repaired product, identifying a product generality BOM model, establishing a data reference relationship between BOMs, and completing construction of a product generality BOM table. The technical problems of product source BOM structure integrity and data homology in the prior art are solved.
Owner:XIAN AERO ENGINE CONTROLS
3D modeling repair method based on point cloud deep learning incomplete model
The application discloses a 3D modeling repair method based on a point cloud deep learning incomplete model, and relates to the technical field of 3D modeling repair.The specific steps of the method are as follows: firstly, pre-processing and normalization are performed on cross-source heterogeneous incomplete point clouds collected by multiple sensors to unify the input format;then, Bayesian confidence probability modeling and topology propagation are performed to optimize the confidence;then, the high-uncertainty area is actively calibrated;finally, the calibrated confidence is used as the weight to fuse features and complete the incomplete point cloud by using a cross-source Bayesian weighted fusion repair algorithm to generate a complete 3D model.The application uniformly formats the point cloud data of multiple sensors by pre-processing and normalization, accurately calculates and optimizes the confidence, and reduces the noise error;then, the calibrated confidence is used as the weighted fusion basis to accurately fuse geometric features and supplement missing data, effectively restores the complete form of the incomplete model, improves the accuracy and integrity, and adapts to various 3D modeling repair requirements.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Simulation method for vacuum infusion process of pultrusion beam of wind power blade and related equipment
The invention discloses a simulation method and related equipment for a vacuum infusion process of a wind power blade pultrusion beam, and the method comprises the steps: building a three-dimensional solid model based on an actual layering scheme of the wind power blade pultrusion beam, and building a simulation model of the vacuum infusion process according to the three-dimensional solid model; giving material attributes and boundary conditions to the simulation model to obtain a complete model; integrating the complete model into a resin flow control equation for simulation, and predicting dynamic flow parameters of the resin; the dynamic flow parameters comprise a flow front form, a pressure field and filling time. According to the embodiment of the invention, the accuracy of predicting the race flow effect can be improved. The method can be widely applied to the technical field of process simulation.
Owner:GUANGZHOU UNIVERSITY
A method and system for obtaining a linear model
The present invention discloses a method and system for obtaining a linear model, and belongs to the field of simulation modeling. In view of the problem that the existing simulation model is inaccurate and inefficient, the present invention provides a method for obtaining a linear model, comprising the following steps: obtaining an original image; determining whether the original curve in the original image includes both an amplitude-frequency curve and a phase-frequency curve; if the original curve includes both an amplitude-frequency curve and a phase-frequency curve, sampling the points on the original curve, and then creating a complete model; if the original curve lacks a phase-frequency curve, restoring the phase-frequency curve to obtain a complete curve model, sampling the points on the complete curve, and then creating a complete model; generating the generated complete model into a model format for recognition by mainstream simulation tools. The present invention is easy to operate, and the added detection steps enable different situations to correspond to different operations, thereby ensuring the accuracy of model establishment and improving work efficiency. The system of the present invention improves the overall degree of automation and greatly improves work efficiency.
Owner:XPEEDIC CO LTD
Feedback-based model compression
A method in a first network node configured to communicate at least with a second network node and compress machine learning (ML) models is described. The method includes performing an ML model compression using a full ML model and a first compressed ML model that was previously compressed. The ML model compression generates a second compressed ML model at least by performing a constrained quantization of the full ML model based on the first compressed ML model. The second compressed ML model includes a maximized number of weights that are shared with the first ML compressed model. The method also includes determining a difference between the first compressed ML model and the second compressed ML model. The determined difference includes at least one weight update. Further, the method also includes performing one or more actions associated with the second network node based on the determined difference.
Owner:TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Control method, device, equipment, medium and program of intelligent robot with body
PendingCN121946501Aavoid wastingOvercome failure-prone defectsProgramme-controlled manipulatorVisual observationSimulation
The invention relates to the technical field of robot control, and provides a control method, device, equipment, medium and program for an intelligent robot with a body, and the method comprises the steps: receiving a task language instruction and environment visual observation data collected by the robot in real time; obtaining a corresponding original soft prompt vector according to the task language instruction; inputting the environment visual observation data and the task language instruction into a preset finite-state machine in the intelligent robot system with the body, executing task logic state verification, and outputting a prompt update judgment signal based on a verification result; when the prompt updating judgment signal indicates that updating is needed, a correction soft prompt vector is generated based on the environment visual observation data; and fusing the corrected soft prompt vector and the original soft prompt vector to generate an updated prompt. The method is used for improving the control adaptability and reliability of the intelligent robot with the body in a dynamic environment through a lightweight dynamic prompt mechanism, precise action generation and long-range task logic coherence are achieved, and full-model fine adjustment is avoided.
Owner:SHANGHAI ZHIWEI ROBOT CO LTD
Enabling classical planning in interactive environments with incomplete models
A computer-implemented method in a model-based reinforcement learning (RL) system with logic states includes switching an agent between a first mode and a second mode, the first mode being a probabilistic planning mode and the second mode being an information gathering mode. In response to the agent being in the probabilistic planning mode, the agent computes a predictive state representation, given a history of observations and actions taken, and the agent scores action candidates based on planning with the predictive state representation so that actions with resolved plans with confidence to achieve a goal state are scored higher than actions without resolved plans. In response to the agent being in the information gathering mode, the agent scores action candidates based on a Q function of a value of expected information to be gathered from a given pair of state and action.
Owner:INTERNATIONAL BUSINESS MACHINE CORPORATION
Parametric modeling method for cableway bridge based on geometric shape finding and spatial topology mapping
The application provides a cableway bridge parameterized modeling method based on geometric form finding and space topology mapping, relates to the technical field of bridge engineering digital design and modeling, and the technology comprises the following steps: constructing a calculation domain, analyzing form finding, constructing an assembly reference, component topology mapping and full model generation. The application establishes a full parameterized driving dynamic model: all geometric features of the model are driven by input design parameters and topology relations. Through preset parameter dependence relations and update sequences, the system can automatically and orderly update the whole three-dimensional model when the parameters are changed, realizes "one modification, everywhere update", significantly improves the design iteration and scheme comparison and selection efficiency, and solves the core problem of parameter and model disconnection.
Owner:CHINA POWER CONSRTUCTION GRP GUIYANG SURVEY & DESIGN INST CO LTD
A device overhaul simulation control method based on a dynamic loading model
The application discloses a device overhaul simulation control method based on a dynamic loading model, and relates to the technical field of virtual simulation; the method aims at the problem of large device full model rendering lag, and proposes a resource scheduling strategy based on a mixed weight, comprehensively considers the visual centrality of components in a view frustum and the semantic association strength in the current overhaul task, constructs a loading priority index model, realizes high-precision priority loading of key operation components and on-demand degradation of irrelevant backgrounds, and combines an asynchronous multithreading architecture and a memory dynamic release mechanism based on future task prediction, so that the smoothness of core interaction is ensured, the video memory occupation is greatly reduced, and the hierarchical light rendering logic is matched, thereby realizing high-fidelity and low-delay simulation of a complex industrial device overhaul process under limited hardware resources.
Owner:HUANENG YINGKOU THERMAL POWER CO LTD
Method and device for quickly symmetric finite element model, electronic equipment and storage medium
The invention provides a fast symmetric finite element model method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a single-side finite element model, and operating a fast symmetric finite element model tool; determining a storage position of the single-side finite element model, and exporting the single-side finite element model as a basic model; all the components of the basic model are symmetrical through a fast symmetrical finite element model tool, all the symmetrical components of the basic model are connected, and the symmetrical basic model is renamed; whether a coordinate system exists in the basic model or not is inquired through a fast symmetric finite element model tool; if the coordinate system exists, the coordinate system is symmetric through a fast symmetric finite element model tool, and nearby units are associated; and importing the basic model, combining the basic model and the symmetrical basic model into a complete model, and ending the operation of the quick symmetrical finite element model tool. In the mode, the finite element model can be symmetrical in a short time, the consistency of the symmetrical model is ensured, and the standardization degree of the modeling process is improved.
Owner:CHERY AUTOMOBILE CO LTD