49results about How to "Reduce modeling time" patented technology

The invention discloses a terrain-level real-scene three-dimensional entity and element dynamic updating method, which comprises the following steps: S1, data acquisition and preprocessing: acquiring data of a target area by an acquisition mechanism based on entity and element type priorities, and preprocessing the acquired data to obtain model data of the target area; s2, change detection: comparing newly collected model data with historical model data, and identifying a change region and type; s3, entities and elements are extracted and updated, wherein the entities and the elements of the change area are processed to obtain updated models; s4, model fusion and optimization: fusing the updated entity and element model with the original model, and realizing efficient acquisition and preprocessing of target area data by using the multi-source surveying and mapping equipment and an acquisition mechanism based on entity and element type priorities; by dividing the small regions according to the region characteristics and correcting the acquisition frequency, the resource allocation is optimized, and the pertinence and efficiency of data acquisition are improved.

According to the BIM-based parameterized spatial steel truss structure modeling method, electronic drawing spatial steel truss data are extracted through simple operation, an Excel table is processed and generated, spatial steel truss node three-dimensional coordinate data are extracted, precision errors caused by human factors are eliminated, meanwhile, a Revit template file is created, and a BIM-based parameterized spatial steel truss structure modeling method is provided. According to the method, a self-adaptive rod piece and bolt-sphere joint parameterization family is established, the modeling efficiency of the space steel truss in Revit is effectively improved, at least 90% of modeling time is saved, a running program written by Dynamo is applied, table data and parameterization family data are automatically called, accurate space steel truss and bolt-sphere joints are automatically generated, and the modeling efficiency and the model quality are greatly improved.

The invention relates to the technical field of tire simulation design, in particular to a tire pattern longitudinal groove edge optimization design method and system and a computer program product. The method comprises the following steps: extracting actual grounding pressure data of a tire; establishing a pattern block geometric plane model, and applying proper boundary conditions; according to the condition of non-uniform grounding pressure distribution, the shape of the contact surface of the pattern block is adjusted to realize uniform distribution; the grounding pressure distribution of the edge of the pattern block is optimized by minimizing a grounding pressure skewness value; and finally, calculating and adjusting the outer contour curve of the tire to realize final optimization design. According to the method, the road holding force, the controllability and the driving stability of the tire can be remarkably improved, the service life is prolonged, the modeling and calculation time is relatively low, and the design and development cost is remarkably reduced.

The invention provides a construction and simulation method of an equivalent impedance model of a charged water body and a related device, and is applied to the technical field of simulation modeling, the method comprises the steps that the charged water body is dispersed into a plurality of basic units, and each basic unit comprises a plurality of nodes; based on the type of the node, obtaining a linear equation set of the node; based on the linear equation set, constructing an equivalent impedance network model of the electrified water body; and determining the state of the electrified water body based on the equivalent impedance network model of the electrified water body. The water body characteristics are described through the state vector of each basic unit, the complexity of parameters and mathematical expressions is reduced, the modeling time consumption is reduced, water body behaviors in any instantaneous state can be accurately simulated, the time-varying characteristics of current and voltage in the water body are carefully displayed, the real behaviors of the water body under the electric leakage condition can be accurately identified, and the water body behavior simulation method is suitable for being popularized and applied. The efficiency is improved.

The invention provides a modeling simulation method for undercarriage shimmy simulation through transport aircraft finite elements. The method comprises the following steps of: 1, constructing an undercarriage model in Abaqus finite element software; step 2, converting the whole aircraft inherent characteristic analysis model in the Nastran finite element software to obtain an aircraft body beam unit model compatible with the Abaqus finite element software; 3, in Abaqus finite element software, an MPC connection module in a Connector connection unit is used for connecting the undercarriage model with the fuselage model, and a full-aircraft shimmy simulation model is obtained. The method has the characteristics of high response sensitivity to excitation and accurate calculation result.

The invention relates to a construction method and application of a periodontitis rat model, and the construction method comprises the following steps: firstly, performing toxoplasma gondii infection on rats, then performing porphyromonas gingivalis and treponema denticola co-infection on the toxoplasma gondii infected rats, and establishing the periodontitis rat model. The periodontitis animal model is rapidly and stably obtained through the synergistic effect of the porphyromonas gingivalis, the treponema denticola and the toxoplasma gondii, and the constructed periodontitis model is highly consistent with the symptoms and signs of human periodontitis, can reflect the systematicness and severity of periodontitis, and has a good application prospect. And the method has the advantages of high modeling speed, high success rate and good repeatability, and is convenient for researching infection, development mechanism and prevention and treatment process of periodontitis.

The invention relates to the technical field of automobile speed reducers, and discloses a speed reducer gear parameter optimization method and system based on MASTA simulation and electronic equipment, and the method comprises the steps: building a speed reducer simulation model based on predetermined initial gear parameters and positioning requirements of speed reducer shaft gear parts; defining a range of iteration times and optimization variables, and generating an initial population; gear parameters generated by the initial population serve as input of a speed reducer simulation model, and gear optimization fitness is calculated based on gear performance parameters output by the speed reducer simulation model; based on a multi-objective genetic optimization algorithm, selecting individuals with relatively high fitness from each sub-group to form a new sub-group; iteratively calculating a gear parameter fitness value meeting a gear parameter constraint condition, and updating a previous generation of gear parameters; and when a preset termination condition is met, obtaining an optimal gear parameter. According to the scheme, an automatic simulation modeling and gear parameter optimization platform of the speed reducer is developed, and design and iterative updating of the speed reducer are accelerated.

The invention relates to an intelligent industrial design auxiliary system, and aims to realize intelligence and automation of an industrial design process by integrating advanced technical modules such as user interaction, intelligent generation, component decomposition and display, user modification and feedback, learning updating and the like. According to the intelligent industrial design auxiliary system provided by the invention, by integrating the user interaction module, the intelligent generation module, the component decomposition and display module, the user modification and feedback module, the learning updating module and the like, the intelligence and automation of the industrial design process are realized, and the design efficiency and the creative level are remarkably improved. According to the system, the design cost is reduced, the product marketing period is shortened, the practicability and market competitiveness of a design scheme are improved through continuous optimization, and revolutionary change is brought to the field of industrial design.

The invention discloses an assembly line variable path planning method based on data and knowledge hybrid driving, which can process more complex assembly line change transmission problems through multi-dimensional change modeling, capture complex relationships in a system and improve accuracy and effectiveness of variable path planning. A multi-agent deep reinforcement learning method of a graph neural network is utilized, and through customized reward function design, the problem that a traditional method is liable to fall into local optimum can be avoided, and a globally optimal solution is searched. By combining expert knowledge and a physical mechanism model with a data driving method, dependence on a large amount of training data can be reduced, the performance of the model under the condition of small data is improved, and the cold start problem is solved. Through hybrid driving of simulation data and experience knowledge, virtual-real mapping rapid modeling in the assembling process can be achieved, the modeling time is shortened, the real-time performance and flexibility of the model are improved, and the method adapts to the rapidly-changing production environment.

This invention provides a method for simulating buckling of subsea pipelines based on the pipeline element method, addressing the problems of low computational efficiency, complex modeling, and low accuracy in existing methods. Based on Euler-Bernoulli beam theory, this invention models the pipeline as a series of efficient pipeline elements. Internal pressure is converted into equivalent temperature rise, and the effective thermal expansion force generated by the effective temperature rise is applied to both ends of the pipeline element to construct the total potential energy equation. The second derivative of the total potential energy equation is performed to obtain the tangent stiffness matrix of the pipeline element. An updated Lagrange method is used for coordinate transformation. The secant relationship is used to calculate the pipeline element and soil resistance. A Newton-Raphson incremental-iterative numerical program is established to perform nonlinear analysis of the pipeline, progressively solving for the deformation and stress of the pipeline under complex loads. This invention significantly reduces the number of elements, improves computational efficiency, and accurately simulates nonlinear pipe-soil interactions. It is applicable to various pipelines, including short pipes, long pipes, and corroded pipes, as well as complex working conditions such as high temperature and high pressure.

The invention relates to a three-dimensional parametric modeling method for a multi-layer heterogeneous composite cladding tube with a two-dimensional fiber woven structure, which comprises the following steps of: 1, setting a parameter equation of a geometric profile curve of a fiber bundle, and materializing a space coated by the parameter equation; 2, establishing a hexahedron matrix model completely covering a two-dimensional (2D) woven fiber bundle and a hexahedron interface and lining metal model, and carrying out union operation on each component model by utilizing a Boolean operation function; and 3, according to the inner diameter of the actual cladding tube, bending the hexahedron model containing the two-dimensional braided structure into a corresponding radian, and performing circumferential array operation according to the radian to complete modeling of the multi-layer heterogeneous composite cladding tube. According to the parametric modeling method, the limitation that the component model of the multi-layer heterogeneous composite cladding tube is not easy to build completely and the number of layers of braided preforms is uncontrollable can be solved, meanwhile, flexible change can be achieved according to the geometric dimension of the real component model, the modeling time is saved, and accurate simulation of the multi-layer heterogeneous composite cladding tube is achieved.

The application discloses a kind of quick establishment systems of large aperture spliced telescope mirror numerical control processing model, including mirror design module, accurate coordinate calculation module, parameterized drive modeling module and check and confirmation module.Mirror design module is used to define the multi-level coordinate system of main mirror coordinate system, mirror assembly body coordinate system, edge sensor coordinate system and edge sensor slot coordinate system, and define optical surface curve equation, back spherical surface structure, outer contour and mirror gap geometric rule;Accurate coordinate calculation module is calculated according to the coordinate system and geometric rule, and the accurate coordinate point data of mirror is batch calculated;Parameterized drive modeling module generates three-dimensional solid model;Check and confirmation module is used to verify the accuracy of coordinate calculation result and the compliance of three-dimensional model to optical common surface, edge sensor interface slot coplanar and other design principles.The application can realize the batch automation modeling and quick iteration of telescope spliced mirror surface mirror, and improves modeling efficiency and precision.

The invention discloses a method and a system for performing three-dimensional modeling on an arm by using a binocular depth camera, which are suitable for the fields of medical rehabilitation, ergonomic analysis and the like. The method comprises the steps that a binocular depth camera is used for collecting multiple frames of arm depth images, Gaussian filtering and morphological processing are carried out on the images, noise is eliminated, and background interference is removed; hue standardization is carried out through histogram equalization, Gamma correction and reference frame matching; and converting the depth map into three-dimensional point cloud data by using internal parameters and external parameters of the camera, and fusing multiple frames of point clouds to obtain a complete model. The system is composed of a data acquisition module, a data preprocessing module, a point cloud generation and modeling module and a user interaction module. The system improves the modeling efficiency, reduces the manual participation degree, and has the characteristics of low cost, simplicity and convenience in operation and high precision.

The present invention relates to the technical field of orthopedic research models, specifically a device that can accelerate the establishment of a rabbit patellar subluxation malnutrition model, including a base and a leg rest board vertically arranged at the rear end of the top surface thereof, a support block hingedly connected to the middle of the front side of the leg rest board, a pair of lifting screws installed between the support block and the base, an accelerating softening mechanism arranged just above the support block, and a reciprocating pushing mechanism fixed to the rear half of the accelerating softening mechanism and located on the rear side of the leg rest board. After the present invention fixes a rabbit in supine position on the support block and the leg rest board, a servo motor drives the accelerating softening mechanism to reciprocately press the rabbit's patella to cause it to wear, and a motor drives the circular wheel to rotate and drive the accelerating softening mechanism to reciprocate up and down, so that the rabbit's patella wears faster, thereby simulating the movement trajectory of the patella, saving the labor cost of driving the animal, and further shortening the research cycle, and providing an animal model for related research on patellar malnutrition disease.

The invention relates to a beam model establishment method and device and a computer readable storage medium. The method comprises the following steps: acquiring test data of the ray delivery equipment under a test condition, and determining an initial beam model of the ray delivery equipment and one or more types of to-be-adjusted model parameters in the initial beam model; and according to one or more of the test data corresponding to the to-be-adjusted model parameters, adjusting the to-be-adjusted model parameters to obtain a target beam model of the ray delivery device. According to the method, the data corresponding to the to-be-adjusted parameter items in the test data are adopted to correspondingly adjust the to-be-adjusted parameters based on different data types influenced by different types of to-be-adjusted model parameters in the initial beam model, so that the pertinence of parameter adjustment is improved, the modeling time is shortened, and the modeling efficiency is improved.

The present invention provides a modeling method, device, electronic device and storage medium for a waste dump intercepting ditch. The method includes: obtaining the original model of the waste dump, the bridleway and the terrain, calculating the catchment area based on the original terrain model to determine the cross-sectional size of the intercepting ditch, and constructing the cross-sectional model of the intercepting ditch in the model library; generating a modeling command for the intercepting ditch based on the original model and the cross-sectional model of the intercepting ditch; decomposing the modeling command for the intercepting ditch into a task list; calling a modeling tool to execute the task list, and outputting the intercepting ditch model and the engineering quantity of the intercepting ditch model. In this way, the ditch line can be automatically designed, and the intercepting ditch model and the engineering quantity of the intercepting ditch model can be generated. The designer does not need to repeatedly call the BIM software tool for adjustment during the ditch line design process, thereby saving the modeling time of the waste dump intercepting ditch, and quickly and accurately generating a intercepting ditch model that meets the needs.

The invention provides a carving method based on an artificial intelligence large model, and relates to the technical field of artware carving, and the method comprises the following steps: accessing from a client, the client comprising a consumer terminal and a designer terminal; after the material of the carved product is selected in the client, the corresponding label or text is selected to be input and sent to the server; the server identifies the transmitted label or text, and then AIGC drawing is carried out; the graph drawn by the AIGC is fed back to the client, and when the result is not satisfied, the graph can be regenerated; after a satisfactory result is obtained, a designer can generate a 3D model through one key; and after the model is generated, the model is transmitted to engraving software, and engraving production can be carried out. The method has the beneficial effects that the material loss can be avoided, a design draft scheme with a wide range of audiences can be provided, the final visual design draft is greatly enhanced for the primary design, a large amount of workload is directly reduced, and thus the time of designers is liberated.

The present application discloses a simplified method for extracting the modal natural frequency of a power electronic converter, the method comprising: step 1, first modeling the basic structural topology of the power electronic converter, recorded as the first model and obtaining the first vibration mode of each order of natural frequency; step 2, characteristic modal analysis of the first vibration mode, selecting the structure with the largest vibration amplitude in the first model, and determining the vibration source and vibration analysis object in the first model; step 3, second modeling according to the vibration source and the vibration analysis object, recorded as the second model and obtaining the natural frequency at a preset frequency; step 4, according to the characteristic modal analysis result of the first vibration mode, calculating the participation factor of each order of mode corresponding to the natural frequency of the second model at the preset frequency; step 5, selecting the natural frequency corresponding to the participation factor greater than the judgment threshold as the natural frequency of the power electronic converter. Through the technical solution in the present application, the modeling workload and the selection error of the natural frequency are reduced.

The invention provides a carbon fiber metal element measurement method, equipment, a storage medium and a system. The method comprises the following steps: acquiring spectral intensity data corresponding to one or more target metal elements in to-be-detected carbon fibers; inputting the respective corresponding spectral intensity data into the corresponding optimized preprocessing units to obtain respective corresponding optimized spectral intensity data; and inputting the respective corresponding optimized spectral intensity data into the corresponding trained random forest prediction unit to obtain the respective content of the one or more target metal elements.

A simplified analysis method for seismic response of an offshore jacket platform comprises the steps that firstly, a three-dimensional structure finite element model of the jacket platform is established, the model comprises a jacket and main components of an upper module, the influence of secondary components on the structural rigidity is ignored, and the secondary components are loaded into the model in the mode of modifying the material density; the equipment weight is loaded to a corresponding gravity center position in a mass point form, meanwhile, the mass of attached water and the mass of attached marine organisms are considered in the model, and then the model is constrained by adopting an equivalent build-in pile boundary condition. And performing modal analysis on the model to obtain first-order and second-order total vibration frequencies of the model, and querying a corresponding seismic acceleration in a given seismic response spectrum according to the two-order vibration frequencies of the platform. And then loading the two horizontal seismic accelerations obtained by calculation in the previous step into the model, solving and analyzing by using finite element software, and finally evaluating. The method is simple in process and low in analysis time consumption, and about 5 hours of modeling time can be saved.

The invention provides a construction method, device and equipment of a metal profile simulation database, and can be applied to the technical field of databases. The construction method comprises the steps of obtaining a cutting position of an initial section and structural parameters of a target metal profile in response to a selection operation for a section cutting position of a simulation structure of the target metal profile; wherein the structural parameters comprise the axial normal position of the target profile; correcting the cutting position of the initial section based on the axial normal position to obtain the cutting position of the target section; wherein the axial normal is perpendicular to the cutting position of the target section; responding to the condition that the simulation structure is a finite element model structure, performing simulation cutting on the simulation structure at the cutting position of the target section, and generating section characteristic parameters of the target metal profile; and associatively storing the identifier of the target metal profile, the structure parameter and the section characteristic parameter to construct a metal profile simulation database.

The invention relates to the technical field of satellite navigation detection, in particular to a power transmission line observation environment error calibration method, system and device and a medium, and the method comprises the steps: collecting the original monitoring data of each satellite navigation system for a power transmission line; calculating an ionosphere-free combined residual error according to the original monitoring data of each satellite navigation system; establishing a target grid according to the position of the observation station antenna and the satellite observation angle, projecting the ionosphere-free combination residual error to the target grid according to the satellite observation angle of the observation station antenna, and establishing an ionosphere-free combination model according to a projection result; and calibrating the observation environment error of the power transmission line by using the ionosphere-free combination model. Therefore, the problems of limited applicability, insufficient representation capability of observation environment errors, relatively low error modeling accuracy and the like during processing of multi-system observation data in related technologies are solved.

This invention relates to a method for establishing a microscopic geometric model of particle-reinforced composite materials, comprising: determining the three-dimensional spatial range of particle movement; determining the target volume and volume growth rate of different particles; determining the number of different particles within the three-dimensional spatial range; randomly selecting the initial position of each particle and determining the initial volume of each particle; using the LJ potential function to determine the interaction force between particles at the current moment; determining the current velocity and direction of each particle based on the interaction force between particles at the current moment; obtaining the volume of each particle at the next moment based on the current volume and volume growth rate of each particle; obtaining the position of each particle at the next moment based on the current position and the current velocity and direction of each particle; repeating the above steps until each particle is uniformly distributed within the three-dimensional spatial range and the target volume is reached. This invention can rapidly construct a geometric model that reflects the small reinforcing components and high particle filling ratio of the material.

The invention discloses an SPICE model modeling method and device, a simulation method and device, a medium and equipment. The modeling method comprises the following steps: acquiring semiconductor device information and design rule information of each semiconductor device; determining test key types of various semiconductor devices contained in the semiconductor device information; automatically generating a corresponding test key matrix based on the test key category of each semiconductor device and the corresponding design rule information; automatically generating a corresponding GDS layout based on the test key matrix; and automatically fitting the initial SPICE model by using the generated GDS layout to obtain a final SPICE model and a model card. By adopting the scheme, the modeling time of the SPICE model can be shortened, so that the efficiency of simulating a semiconductor device by using the SPICE model is improved.

The invention relates to a construction method of a valve flow conductance model and an application method of the valve flow conductance model.The construction method of the valve flow conductance model comprises the steps that multi-dimensional valve data are obtained, the multi-dimensional valve data are processed through feature engineering to obtain target features, the multi-dimensional valve data comprise the air pressure and the valve opening degree, and the target features comprise the air pressure and the valve opening degree; the target characteristics comprise air pressure and air pressure standard deviation in a preset time period; obtaining a preset mapping relation among an air pressure range, an air pressure standard deviation range and working conditions, and determining the working condition corresponding to the target feature according to the mapping relation, the air pressure and the air pressure standard deviation; and training a gradient boosting decision tree algorithm by taking the target feature data under each working condition as input data and taking the valve predicted opening degree as output data to obtain a valve conductance model of the corresponding working condition, and the valve conductance models are in one-to-one correspondence with the working conditions.

This invention discloses a method for generating a 3D vehicle model assisted by a large language model, comprising: acquiring sample vehicle structural 3D model information; inputting the image to be parsed, a sample image, and a first prompt word into the large language model, and outputting the target parsing text description information of the image to be parsed; inputting a second prompt word into the large language model, and outputting the text description information of the target sample vehicle structural 3D model that matches the target parsing text description information; determining the corresponding size data of the target sample vehicle structural 3D model from the sample vehicle structural 3D model information, and generating a third prompt word; inputting the third prompt word into the large language model, and outputting the vehicle structural coordinates; inputting the vehicle structural coordinates into a 3D modeling tool to generate the model of the target vehicle. This invention, based on a large language model, can save modeling time and improve modeling efficiency. This invention also discloses a system, electronic device, and computer-readable storage medium for implementing the above method.

The invention discloses a finite element modeling and thickness design method for an additional paving structure of an airport cement concrete pavement. The thickness design method comprises the following steps: investigating and collecting pavement conditions and structural parameters of the existing cement concrete pavement, and performing thickness reduction on an old concrete pavement layer according to the existing pavement conditions; modeling a three-dimensional finite element structure of the pavement structure; dividing road surface strips and calculating the accumulated fatigue damage of the overlay layer of the airplane on each strip; determining the design thickness of the additional paving layer according to the maximum accumulated fatigue damage in each strip; checking the minimum paving thickness and the like. According to the method, the simplified three-dimensional finite element model is provided on the premise that the calculation result is converged and stable, the model calculation time is shortened, meanwhile, the influence of the existing pavement condition on the additional layer is considered, and the lateral offset of the airplane is considered in the calculation of the accumulated action times, so that the additional layer thickness design method is more scientific and reasonable.

The embodiment of the invention provides a fissure connectivity modeling method and device based on surrounding rock fissure JRC, and the method comprises the steps: building a fissure quantitative analysis model based on a fissure image obtained through borehole imaging, and describing the geometric morphology of a fissure through a sine curve; fitting the fracture quantitative analysis model, and extracting characteristic parameters representing the geometrical morphology of the fracture; calculating a roughness coefficient JRC of the fracture surface based on the characteristic parameters, and representing the fracture as a fracture plane equation in a three-dimensional space through coordinate transformation; establishing an extension length probability model of the crack based on the JRC and the crack plane equation; and for any two fractures from different drill holes, calculating a spatial intersection line according to respective plane equations, and then calculating a connectivity probability along the intersection line based on an extension length probability model to complete quantitative modeling of fracture connectivity. According to the method, the fracture connectivity probability criterion is established by combining the fracture roughness coefficient JRC with the geometric parameters, and quantitative evaluation of the fracture connectivity is achieved.

The invention discloses a total-factor multi-scene acceleration simulation method for a digital-real fusion test, which belongs to the field of digital test verification of high-end equipment, and comprises the following steps: analyzing a test object, proposing a test demand / target and a performance index, and formulating a preliminary test implementation scheme; according to an analysis result, constructing a geometric model and a mechanism model of the test object; performing multi-dimensional model joint simulation operation to realize multi-dimensional simulation data acquisition and acquisition; carrying out physical data acquisition and historical data collection, and combining simulation data to realize fusion and enhancement of data real test data; carrying out dimension reduction on high-dimension data by utilizing a data dimension reduction method so as to extract key features; based on the obtained dimension reduction data and the test object model, constructing a deep learning simulation acceleration network and carrying out training and optimization; and inputting a test object total-factor simulation model and a test full-scene model to realize total-factor multi-scene simulation acceleration and result prediction. According to the invention, total-factor multi-scene accelerated simulation is realized, and the test efficiency is improved.

This invention relates to the technical field of aerospace structural design, and provides an intelligent lightweight design method for rudder components based on multi-objective collaborative optimization. The method includes parametric modeling, establishing an automated aerodynamic simulation process, constructing an aerodynamic performance dataset, building a CNN aerodynamic surrogate model, and multi-objective optimization using the NSGA-II algorithm. By constructing a parameter-driven automated modeling framework, key geometric features of the components are defined as design parameters, achieving parametric representation and automatic generation of the geometric model. Through the constructed CNN aerodynamic surrogate model, the aerodynamic performance can be predicted quickly and accurately based on the input component geometric parameters. By constructing a multi-objective collaborative optimization method that integrates the CNN aerodynamic surrogate model and the NSGA-II algorithm, intelligent lightweight design of aerospace rudder components is achieved, resolving the rigid contradiction between "extreme lightweighting and high aerodynamic efficiency" in traditional design, and meeting the design requirements of rapid iteration of new aerospace equipment.