88 results about "Modelling software" patented technology

The invention provides a method and a device for generating a parameterized model, a medium and a program product. The method comprises the following steps: S1, receiving text data which is input by a user and is related to a design intention or a command; s2, preprocessing the text data through a predetermined natural language processing algorithm to obtain structured parameter information of the text data; and S3, constructing a parameterized model through predetermined modeling software according to the structured parameter information. By means of the technical scheme, the modeling efficiency can be improved, the quality and consistency of the model are guaranteed, and the maintainability of the model is further enhanced.

The invention discloses an optimization design method of a large-model-driven mechanical part, which comprises the following steps of: performing knowledge retrieval according to a design task and a constraint condition, and generating text description of a structure design scheme by fusing the retrieved knowledge through a large-scale language model (LLM); the LLM performs task decomposition and modeling code mapping on the structure design scheme described by the text, and generated modeling codes are directly executed by modeling software to generate a three-dimensional model; the LLM generates a reasoning track and calls a finite element analysis tool set to perform performance analysis on the generated three-dimensional model; and according to optimization requirements and design constraints, the LLM optimizes the three-dimensional model to generate an optimal three-dimensional model. The invention discloses an optimization design system of a large model driven mechanical part. The optimization design system comprises a design scheme generation module, a parametric modeling module, a design scheme verification module and a structure parameter optimization module. The method and the system provided by the invention can save code quantity, reduce manual intervention and improve design efficiency.

The invention discloses a demand tracing method based on an OSLC standard. The method comprises the following steps of S1, developing a demand software adapter; s2, developing a modeling software adapter; s3, designing a client application to obtain and display data; s4, establishing a traceability relationship between the demand and the model; step S5, realizing query and visual display of the traceability relationship; and S6, demand change influence analysis is realized. According to the method, the OSLC standard is fully utilized, seamless integration of heterogeneous tools can be realized without large-scale transformation through data standardization of the demand software and the modeling software, the universality and interoperability between the tools are greatly improved, the implementation cost is effectively reduced, the bidirectional tracing capability between the demand and the model is provided, and the method is suitable for popularization and application. The demand integrity and the model consistency are ensured, and the quality management capability in the system development process is remarkably improved.

The invention discloses an object pose estimation method based on deep learning and synthetic data and related equipment, and belongs to the technical field of computer vision. The method comprises the following steps: generating an instance segmentation and pose estimation synthesis data set by utilizing simulation modeling software and an automatic script; a YOLO11-seg model is trained, and a data set used for training a domain adaptation model is constructed in an auxiliary mode; training a simulation-to-reality domain adaptation model based on the improved CycleGAN and using the model to enhance the fidelity of the RGB image in the pose estimation synthesis data set; and training a pose estimation model based on multi-modal feature fusion and an attention mechanism by using an enhanced synthetic data set, extracting real scene target foreground RoI data by using YOLO11-seg, inputting the pose estimation model, and outputting a 6D pose of an object. According to the method, the object pose in the disordered scene can be accurately estimated, the grabbing success rate of the robot is improved, the inter-domain difference between synthetic data and real data can be effectively reduced, the data labeling cost is reduced, and the method can be suitable for industrial scenes.

The invention provides a life cycle evaluation automatic modeling method based on a large language model, and relates to the technical field of life cycle evaluation, and the method comprises the steps: extracting the multi-modal information of texts, tables, images and the like from the multi-source data of academic literatures, reports and the like, constructing an instruction data set in combination with LCA process knowledge, carrying out the instruction fine tuning of a base large model, and carrying out the automatic modeling of the life cycle evaluation. And obtaining the LCA field large language model. And generating a standardized prompt by utilizing a prompt word optimizer, driving a model to generate a product LCA model framework, filling list data, and perfecting process data in combination with semantic search and a correction mechanism. And intelligent connection recommendation among unit processes is realized by calculating the semantic similarity of input and output streams. And finally, the verified structured data is output to LCA modeling software, an automatic modeling process is completed, and the modeling efficiency and normalization are improved.

The present invention discloses a method for analyzing the aging of assembled anti-collision components based on BIM5D technology, which relates to the field of municipal infrastructure management. The construction project is three-dimensionally modeled using modeling software, the bill of quantities is input into the corresponding component type parameters, the construction project schedule information is compiled using relevant software, and then the cost information and progress information are integrated using BIM5D technology, and the aging model of each task is analyzed based on the WBS work breakdown structure and earned value method. The real-time progress of the project and the change of funds are provided to project managers and construction technicians from different angles such as time dimension and project dimension, the degree of deviation is evaluated, the cause of the deviation is analyzed and corrective measures are proposed. The present invention can effectively predict the progress-cost control problems that occur in the actual production of the project, and provide a reliable aging analysis method for key node control and early warning.

The invention discloses an extracorporeal membrane oxygenation VR training system, which comprises a virtual scene construction module, and is characterized in that the virtual scene construction module carries out modeling on an operating room environment and ECMO equipment based on modeling software; the VR virtual interaction operation module performs virtual scene interaction between the trainee and the virtual scene and the virtual device through the interaction device; the ECMO pre-flushing operation process module generates standard steps and specification requirements based on the construction of the virtual scene and the interaction information of the VR virtual interaction operation module; the multi-person cooperation module is used for distributing persons participating in training according to different roles and playing different persons in a virtual scene for cooperative training; the training content management module is used for managing the ECMO training content of trainees; organic combination of practical training and cyclic training can be achieved, the situation that current ECMO professional medical talents are in shortage is effectively improved, and then the treatment success rate and the medical service quality of critical patients are improved.

The invention discloses a three-dimensional woven composite material reverse design method based on a generative adversarial neural network. The method comprises the following steps: selecting three-dimensional woven composite material samples of different process structures through super-Latin sampling; a Python script is combined with TexGen textile modeling software to generate a three-dimensional woven composite material unit cell model, and Abaqus is imported to calculate the mechanical property of the material; normalized coding is carried out on the process structure of the three-dimensional woven composite material, mechanical properties of the material are combined to serve as a data set, a generative adversarial neural network is trained, and hyper-parameters are optimized through Bayesian. According to the method, mapping between the technological parameters and the mechanical properties of the three-dimensional woven composite material is established through the generative adversarial neural network model, the design, research and development efficiency of the three-dimensional woven composite material can be improved by more than 50%, and the structural design accuracy and the performance prediction accuracy of the three-dimensional woven composite material are improved.

The invention discloses a design method of a three-dimensional gradient minimum curved surface sandwich structure and the sandwich structure, and belongs to the field of minimum curved surface sandwich structure design, and the design method comprises the following steps: S1, constructing a three-dimensional density distribution characteristic model; s2, constructing a modeling equation of the three-dimensional geometric model of the Gyandroid minimal curved surface structure; s3, obtaining a modeling equation of the three-dimensional gradient minimum curved surface structure; s4, obtaining a three-dimensional model of the three-dimensional gradient minimal curved surface structure through modeling software; s5, preparing a three-dimensional gradient minimum curved surface structure through an additive manufacturing technology; s6, obtaining a three-dimensional gradient minimum curved surface gradient sandwich structure; and S7, performing performance evaluation. By the adoption of the design method of the three-dimensional gradient minimum curved surface sandwich structure and the sandwich structure, the minimum curved surface with the dimension relative density being in gradient change in three directions is designed, the energy absorption performance of the structure is effectively improved, and meanwhile more effective protection on a target is achieved.

The invention discloses an online teaching video production method and device based on a virtual scene, and a medium, belongs to the technical field of teaching video production, and is used for solving the technical problem of high curriculum abandoning rate caused by low construction efficiency, low content updating rate and low knowledge transmission accuracy of an existing online curriculum. The method comprises the steps of customizing a digital teacher image of a target teacher based on modeling software; wherein the digital teacher image comprises a 3D digital teacher image and a 2D digital teacher image; constructing a virtual teaching scene, and training a virtual scene model to identify a user instruction so as to adjust features in the virtual teaching scene; based on the made teaching courseware, generating a corresponding digital human control script and a voice explanation script; placing the digital teacher image and the virtual teaching scene into a virtual environment, and fusing the digital teacher image and the virtual teaching scene with the digital human control script and the voice explanation script to form a virtual teaching model; and performing video rendering on the virtual teaching model to obtain a teaching video.

The invention discloses a building updating design method based on digital integrated modeling and a virtual reality interaction platform, which forms a point cloud model by means of a digital information acquisition technology for indoor and outdoor scanning of an old building, and assists professional modeling software in rapid modeling, so as to improve the modeling efficiency. The generated model can be effectively in butt joint with building design and transformation and related technical data analysis software in an ideal city building intelligent modeling and VR display experiment platform, follow-up research work or deepening creation work is carried out, finally, finished product resources in various forms of pictures, videos, panorama, roaming and VR are published, building site live-action experience is created, and the development and development of the ideal city building intelligent modeling and VR display experiment platform is facilitated. Multi-party intelligent interaction is realized; through the assistance of a digital information acquisition technology, more intelligent surveying and mapping and more efficient modeling are realized; on the basis of a reality model, a design model and technical data, a whole-process optimization drilling platform under building updating and reconstruction is formed; multi-party intelligent interaction with multi-element interaction and real-time sharing is realized, and the directness and high efficiency of public communication and multi-party conversation are improved.

The invention relates to a large model soft and hard all-in-one machine adjusting and optimizing method and device oriented to rapid deployment. The overall deployment efficiency of a large model soft and hard all-in-one machine can be improved. The method comprises the steps of obtaining hardware information of each hardware module in response to a power-on operation of a user on the large-model software and hardware all-in-one machine, and generating a first deployment scheme through an artificial intelligence model according to the hardware information of each hardware module and a preset general model requirement; in response to service demand configuration of a user on the large-model software and hardware all-in-one machine in the visual interface, determining a target large model in a plurality of pre-trained large models built in the large-model software and hardware all-in-one machine through the artificial intelligence model according to the service demand configuration, and adjusting the first deployment scheme according to hardware conditions required by the target large model, obtaining a second deployment scheme of the large-model soft and hard all-in-one machine; and based on the second deployment scheme, deploying the target large model in the large model soft and hard all-in-one machine.

The invention discloses a green building full life cycle resource sharing and collaborative management method and system, and relates to the technical field of workflow management, and the method comprises the steps: receiving a collaborative design request, creating a task tree by a task management module, and determining a task progress according to the task tree; the green tool integration module calls basic modeling software based on the task progress to obtain building information model data; the green tool integration module calls performance simulation software and calculation software based on the building information model data to generate multi-type result data; the task management module performs quantitative and qualitative analysis on the multi-type achievement data to obtain an analysis result, and sends the analysis result to a green special topic review module; and the green thematic examination module generates evaluation term data and evaluation version data based on the analysis result, and integrates the evaluation term data and the evaluation version data into an evaluation report for output. The method can effectively shorten the iteration period and reduce the error rate.

The invention relates to the technical field of engineering supervision and supervision, and particularly discloses a BIM-based engineering supervision and supervision method and system, and the method comprises the steps: enabling an engineering design drawing and material information to trace a database, importing professional BIM modeling software through a format conversion technology, introducing geographic information system data, obtaining a BIM model, collecting construction progress data in the BIM model, and carrying out the construction progress data in the BIM model; the method comprises the steps of obtaining progress evaluation factors, determining a construction progress evaluation grade, determining a construction quality evaluation grade based on a fuzzy comprehensive evaluation model, constructing a BIM construction safety risk evaluation model, outputting a construction safety evaluation grade in combination with a BP neural network model, and sending out BIM engineering supervision risk early warning. The problems that a traditional supervision method is low in information transmission efficiency, misunderstanding and omission are likely to occur, information islands are likely to be caused, the management efficiency is low, a real-time and comprehensive monitoring means is lacked in the aspect of quality control, and potential quality hazards are difficult to find and solve in time are solved.

The invention discloses a method and device for evaluating a vehicle structure. And road surface data are obtained based on vehicle information, vehicle speed, working conditions and road surface grades, a whole vehicle model is established based on structure information and evaluation content, and the road surface data are applied to a tire grounding point simulated by the whole vehicle model to obtain a vehicle model with road surface excitation. And obtaining a calculation result of the to-be-evaluated parameter of each node in the vehicle model, calculating and judging whether the evaluation parameter meets a preset standard based on the preset evaluation parameter and the calculation result, and if not, adjusting the structure information until the preset standard is met. The method supports the evaluation of the structure of the vehicle based on the vehicle information, the structure information and the evaluation content, and achieves the effects of shortening the development period and improving the development efficiency. Meanwhile, the method does not depend on commercial modeling software, special software for vehicle types is developed independently, and the cost is reduced.

The application discloses a demand traceability method based on an OSLC standard, and comprises the following steps: step S1, developing a demand software adapter; step S2, developing a modeling software adapter; step S3, designing a client application to acquire and display data; step S4, establishing a traceability relationship between demands and models; step S5, realizing query and visual display of the traceability relationship; and step S6, realizing demand change influence analysis. The application fully utilizes the OSLC standard, realizes seamless integration of heterogeneous tools without large-scale modification through data standardization of demand software and modeling software, greatly improves the universality and interoperability between tools, effectively reduces implementation cost, provides bidirectional traceability capability between demands and models, ensures demand integrity and model consistency, and significantly improves the quality management capability in a system development process.

The invention provides an intelligent modeling method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: inputting modeling demand information into a first large model, and outputting modeling logic information; the modeling logic information is input into the second large model, and modeling process information and modeling detailed operation information are output; modeling process information and modeling detailed operation information are input into the third model, and a modeling language is output; generating a CAD model based on the modeling language; wherein the first large model is obtained by training based on a CAD model carrying a modeling sequence and modeling specification information; the second large model is obtained by training based on modeling software course information; and the third model is obtained based on programming grammar and code library training required by modeling. According to the method, manual modeling is replaced with a large model, automatic and rapid creation of the model is achieved, manual modeling time is shortened, and meanwhile the efficiency and quality of modeling design work are improved.

The present invention discloses an assembled curved wall and a construction method thereof, wherein the curved wall comprises a wall and a steel mesh, wherein the side wall of the wall is a curved surface, a filling cavity is provided in the middle of the wall, the steel mesh is partially located in the wall and partially exposed in the filling cavity, a plug-in portion is provided on one side of the wall, and a plug-in slot is provided on the other side of the wall, the plug-in portion is plugged into and matched with the plug-in slot on the other wall, and is fixed by bolts. The construction method of the above-mentioned assembled curved wall comprises the following steps: first, the wall is modeled by modeling software, a steel mesh is prefabricated in a factory according to the form of the wall, the model is 3D printed on the steel mesh to form a prefabricated assembled curved wall, the wall is transported to the construction site for assembly, the plug-in portion is inserted into the plug-in slot of the other wall, the plug-in portion and the plug-in slot are fixed by bolts, and finally, concrete is poured in the filling cavity, the concrete simultaneously fills the joints and joint gaps of the two walls, so that the two adjacent walls form a unified component.

The invention provides a coaxial propeller hub fairing design method which comprises the following steps: acquiring coaxial double-rotor propeller hub parameters; drawing the two-dimensional shape of the upper rotor hub fairing by adopting a circular curve, wherein the circle center of the circular curve is on the central axis of the rotor hub; obtaining a three-dimensional shape of the upper rotor hub fairing based on the two-dimensional shape of the upper rotor hub fairing; drawing a two-dimensional shape of a lower propeller hub fairing of the enveloping propeller lower rotor wing propeller hub assembly; obtaining the three-dimensional shape of the lower rotor hub fairing based on the two-dimensional shape of the lower hub fairing; according to the two-dimensional airfoil profile, the height of the intermediate shaft fairing and the diameter of a rotor shaft bearing base, the three-dimensional profile of the intermediate shaft fairing is drawn; three-dimensional modeling software is used for generating three-dimensional shapes of the rotor hub and the intermediate shaft fairing, and the shapes of the upper rotor hub fairing, the lower rotor hub fairing and the intermediate shaft fairing are modified. According to the invention, the overall resistance of the propeller hub can be reduced, and the propeller hub and the intermediate shaft fairing are simple in appearance and convenient to process, manufacture and mount.

This invention discloses an acid pickling and coating method for selective laser melting (SLM) forming of a fishing net-shaped magnesium alloy scaffold, belonging to the field of scaffold manufacturing technology. The method includes the following steps: S1: Generating a printing model of the magnesium alloy scaffold using modeling software and printing it to obtain a first scaffold prototype; S2: Preparing an acid pickling solution, wiping the first scaffold prototype, placing it in an ultrasonic cleaning tank containing the acid pickling solution, performing ultrasonic acid pickling, followed by deacidification cleaning and drying to obtain a second scaffold prototype; S3: Preparing a coating solution, using a lifting device to fix the second scaffold prototype above a container containing the coating solution and uniformly raising and lowering it, obtaining a third scaffold prototype after multiple raising and lowering operations; S4: Vacuum drying the coated third scaffold prototype to form the final magnesium alloy scaffold. This method solves the problems of unreasonable surface impurity removal and poor coating uniformity in magnesium alloy scaffolds prepared by SLM.

The application discloses a kind of fusion BIM and AI's construction method, system, equipment and storage medium, it is related to intelligent construction and building digitization technical field, including importing building data into BIM modeling software, obtain BIM building data;Call AI design model, based on BIM building data and the design requirement of user, generate building layout scheme and space arrangement result, and automatically update to BIM model;AI drawing optimization is carried out to the BIM model after updating, load building specification library and user-defined rule, identify cross-professional conflict point in combination with collision detection algorithm;In construction stage, call the BIM model after drawing optimization, carry out risk prediction and decision deduction to real-time construction and operation data by AI.The method described in the application realizes automatic design and model dynamic updating, can improve compliance and cross-professional consistency in design stage, can realize dynamic monitoring and intelligent decision support in whole construction process.

The present invention discloses a digital twin model of a process manufacturing workshop and a method for constructing a digital twin system. The digital twin model construction method includes: modeling the geometric physical properties of each element of the process manufacturing physical workshop through industrial modeling software to construct a static physical model SPM; constructing a dynamic data relationship model DDRM based on the correlation between the dynamic data of the process manufacturing physical workshop; establishing a data communication interface, and performing model fusion between the SPM and the DDRM to complete the construction of the digital twin model. Furthermore, the multidimensional digital twin models of the workshop elements are graded according to the composition structure of the physical workshop to obtain a workshop-level multidimensional digital twin model; constructing a digital twin system composed of a physical production line system PS, a virtual production line system VS, a production line information service system IS, and a twin data system DS; and performing two-by-two interaction and iterative operation of PS, VS, and IS through DS to complete the construction of the digital twin system.

The application is a BIM deepening method for rapid construction of an automobile factory building, comprising: step 1, standardizing BIM team management, determining a BIM project leader and a BIM engineer; step 2, site planning, BIM deepening design, collision detection and design optimization, 4D progress simulation; step 3, parameterized establishment of family library models, and sharing of parameters; step 4, rapid deepening by using technologies such as Dynamo; step 5, rapid auxiliary deepening by using secondary development plug-ins; step 6, a lightweight browsing and checking model platform; step 7, prefabricated processing based on BIM technology; and step 8, BIM data delivery. In the BIM deepening design of a new energy factory building, the application increases the method of rapid modeling construction, and through parameterized programming, Dynamo technology or other same type rapid modeling software, rapid remodeling is realized, so that the deepening design time and construction period are greatly reduced, and the rapidity, safety and quality of construction are guaranteed.

The invention relates to the technical field of large-model software and hardware system testing, and discloses a method and device for identifying performance bottlenecks in a large-model software and hardware system and electronic equipment. The identification method comprises the steps of determining a second index acquisition script suitable for a to-be-tested large model software and hardware system according to a first index acquisition script of a representative system; controlling the to-be-tested large model software and hardware system to execute the standard test case, and calling a second index collection script to collect multiple test data when the to-be-tested large model software and hardware system executes the standard test case; determining various performance indexes of the to-be-tested large model software and hardware system in a preset performance index set according to the multiple test data; and comparing the performance indexes of the to-be-tested large model software and hardware system and the representative system in the preset performance index set, and determining the performance bottleneck of the to-be-tested large model software and hardware system. According to the invention, identification of the performance bottleneck of a large-model software and hardware system can be realized.

The invention discloses an AI modeling agent integrated with a three-dimensional application and a task planning and execution method thereof. The method comprises the following steps: S1, establishing a three-dimensional model; s2, calling a built-in domain knowledge base and a built-in parametric modeling rule base by the AI modeling agent, and mapping the analyzed instruction into a code segment; s3, the system automatically executes the generated code segment through a three-dimensional modeling software interface, constructs a corresponding parameterized model in a three-dimensional modeling environment in real time, and renders a visual result in real time for a user to preview; and S4, establishing an interactive design environment supporting iterative feedback and continuous optimization. The method is integrated with a three-dimensional model application, supports a user to output a simulation code and call an application through demand description and parameter input after AI analysis, and automatically generates a three-dimensional model for the user to browse.

The invention belongs to the technical field of industrial building digital design, and particularly discloses a shipyard steel structure component cross-software model reconstruction method, which comprises the following steps that a shipyard steel structure design stage software project file is collected, and the project file comprises all modeling components of a steel structure specialty; carrying out modeling on the modeling component by adopting a component nesting mode; performing parameter data sorting on the modeled part to obtain attribute data; processing positioning data of the component in the item; forming a shipyard steel structure member data table according to the acquired attribute data and positioning data; importing data in the shipyard steel structural member data table into construction deepening modeling software, and re-analyzing the data into parameter names and parameter values; performing model reconstruction according to the analyzed parameter names and parameter values; the component is disassembled to the basic granularity, and the transmission data is stored in a unified parameter table form, so that the problem of incompatibility of cross-software data formats is effectively solved, and the data standardization and compatibility are improved.

The application provides a kind of fabricated steel structure building construction method, belongs to steel structure building technical field, the fabricated steel structure building construction method its characterized in that, including following steps: the size of construction site is measured, according to the measured value drawing site size drawing;According to the site size drawing of drawing, the construction plane is established through modeling software, and steel structure model is established on the construction plane;The established steel structure model is spliced production and is marked in groups according to the action attribute and the installation sequence;The steel structure component of entity is assembled and installed, and the steel structure support beam is formed after installation is completed;Between a plurality of steel structure support beams, through I cross steel, a steel structure building frame is formed;The application can adjust the angle of the roof beam while ensuring the stability of the load bearing, and avoid the deviation caused by easy installation, speed up the construction progress and ensure the construction efficiency.

A method and apparatus are described for performing a health analysis of a modeled software system of a distributed services system. A stream of ledger transaction messages generated during execution of the software system are received and stored in a data store. A ledger data model is accessed, where the data model represents a state machine having states, data, and transitions between states indicative of proper functioning of the underlying software system. A ledger clearing operation is performed to generate monetary balances of states in the data model for a plurality of transactions, and aggregated values associated with operational characteristics of various states of the data model. From the aggregated values, a graphical user interface is caused to be display the values of the operational characteristics aggregated over a set of transactions as health indicators of the underlying operations performed by a software system, across software systems, or other subsets of configurable options.

The virtual debugging system for intelligent engineering equipment facing limited dynamic space comprises a twin model design module, a multi-sensor perception module and a virtual-real interconnection module; the twin model design module is modeled through modeling software, has a multi-body dynamics twin model built through a multi-body dynamics library, and is rendered and tested at a simulation engine end; the sensor simulation module is designed and developed through the simulation engine and obtains real-time perception information of each sensor of the twin intelligent engineering equipment, iteratively calculates the real-time pose of the current pusher machine based on the obtained sensor information, and transmits the information into an actual hardware controller through the virtual-real interconnection module; the virtual-real interconnection module integrates and pre-processes a communication protocol used by actual intelligent engineering equipment hardware, synchronously transmits information of each twin module to actual intelligent engineering equipment, and returns control information obtained by the actual intelligent engineering equipment controller after planning and processing to the twin intelligent engineering equipment through the module.