66 results about "Modelling software" patented technology

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 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 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 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 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 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 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.

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.

The application provides a design and construction method of a decorative integrated downpipe structure, which comprises the following steps: establishing a building model by using a curved roof modeling software, finding points of a special-shaped curved roof, and determining the elevation thereof; decomposing the building model into coordinate points by using a decomposed curved model software; connecting the coordinate points to form geometric lines by using a geometric modeling software, establishing a three-dimensional model, and preliminarily selecting the positions of eaves gutters and downpipes; giving sizes and physical properties to the geometric lines and performing collision analysis by using a physical model component analysis software, and optimizing the positions of the downpipes; reasonably planning a curved roof drainage scheme, optimizing the positions of the downpipes, guiding construction slope finding, improving the design and construction efficiency, and ensuring the normal operation of the drainage system. The downpipe is fixed by a light steel frame, is more stable, and is protected by a decorative shell which is arranged on the outer sides of the two light steel frames, so that the downpipe can be hidden and the building appearance can be beautified.

This invention provides a biomimetic jellyfish robot and its manufacturing method based on 4D printing, comprising the following steps: Step 1: Establishing the outer shell and tentacles model of the biomimetic jellyfish robot according to the design given in the drawings; Step 2: Creating a printing model using modeling software and exporting the model in .gcode format; Step 3: Drying the PEEK filament before printing, and then loading the PEEK material into the 3D printer; Step 4: Importing the .gcode file from Step 2 into the 3D printer, and using the dried PEEK material from Step 3 to print on the substrate; Step 5: After the model is printed, removing the printed PEEK sample from the substrate; Step 6: Placing the PEEK sample removed in Step 5 in an electrically heated blast oven for constant temperature annealing, and then removing it. This invention significantly saves printing time and material consumption, and replaces manual assembly, thereby reducing labor costs.

The present application relates to the technical field of additive manufacturing, and discloses a modular laser additive repair method for defects of a shell type martensitic stainless steel casting, comprising the following steps: performing nondestructive testing on the casting, designing a modular repair process according to the detected defects, determining the standardized repair size, parameters, strategy and repair sequence of the defects, removing the material within the repairable size by using a machining center, drawing a three-dimensional model of each repair area by using modeling software, and checking the correctness of the scanning path and strategy. According to the process scheme, the repairable areas of the casting are repaired on a metal component repair device. Finally, the inner and outer surfaces of the repair area are finely polished or machined according to the required size and surface quality of the component. The present application provides a rapid defect repair method suitable for batch production, standardization and low cost and high reliability for high-value-added shell type castings with frequent defects by means of laser melting deposition repair technology.

The application discloses an automatic unified modeling method based on a rule file and a dictionary file, comprising the following steps: abstractly generating a dictionary file of a corresponding device model based on modeling specifications of different devices; abstractly generating a rule file of a corresponding device by associating the dictionary file of the corresponding device for different device modeling information points; obtaining the dictionary file and the rule file corresponding to the device according to different device types; traversing and analyzing the modeling information points of the device, selecting corresponding rules from the rule file, and generating model information of the corresponding modeling information points; exporting the model information defined in the dictionary file; generating an operation calling interface; instantiating the model information of the modeling information points to realize automatic modeling; and instantiating a short address to realize the mapping between internal signals and external standards. The application realizes the automatic modeling of different devices based on engineering files, realizes the unification of modeling software of different types of products, and has the expandability for modeling new devices.

The present disclosure provides a formalization processing method and device of control software of an engine, and relates to the technical field of formalization, the method comprising: receiving semi-formalized control requirements of the control software input by a user; forming the semi-formalized control requirements into formalized control requirements according to a defined formalization language; verifying the formalized control requirements according to control safety rules of the engine; and converting the verified formalized control requirements into a modeling script, wherein the modeling script is configured to generate a simulation model of the control software after being executed by modeling software.

The invention relates to the technical field of large-model software and hardware system evaluation, and discloses an evaluation method and architecture for a large-model software and hardware system, equipment and an evaluation system. The evaluation method comprises the steps of displaying a user interface of an evaluation tool in response to a starting instruction; in response to operation of a user on hardware configuration options and software configuration options of the to-be-tested large-model software and hardware system in the user interface, configuration information of the to-be-tested large-model software and hardware system is determined; determining evaluation script information suitable for the to-be-tested large model software and hardware system according to the configuration information; and in response to an operation of a user on an evaluation task execution button in the user interface, sending an evaluation request containing evaluation script information to the server-side equipment, so that the server-side equipment searches and operates a target evaluation script according to the evaluation script information, determines an evaluation result of the to-be-tested large model software and hardware system, and sends the evaluation result to the to-be-tested large model software and hardware system. And the evaluation result is transmitted back to the user side equipment. The evaluation efficiency of the large model software and hardware system is improved, and the evaluation cost is reduced.

The application provides a life cycle assessment automatic modeling method based on a large language model, relates to the technical field of life cycle assessment, and comprises the following steps: multi-modal information such as text, tables and images is extracted from multi-source data such as academic literature and reports, instruction data sets are constructed in combination with LCA process knowledge, a base large model is fine-tuned, and a large language model in the LCA field is obtained. A standardization prompt is generated by using a prompt word optimizer, a product LCA model framework is generated by driving the model, list data is filled in, a process data is perfected in combination with a semantic search and correction mechanism. The semantic similarity of input and output streams is calculated to realize intelligent connection recommendation between unit processes. Finally, the structured data after verification is output to an LCA modeling software, an automatic modeling process is completed, and modeling efficiency and standardization are improved.

The invention provides a buoyancy parameter calculation method and system for seaplane stability analysis, and the method comprises the steps: firstly building a body coordinate system and a ground coordinate system, building a seaplane model through modeling software, obtaining a pitch angle, a roll angle and a yaw angle of the seaplane model at a certain moment, and constructing a coordinate transformation matrix; then calculating a vertical sub-coordinate of a vector coordinate of each triangular surface element under a ground coordinate system and buoyancy and buoyancy moment of the seaplane model at the moment by adopting a specific calculation method; and finally, constructing a buoyancy and buoyancy moment interpolation table by adopting a multi-dimensional interpolation algorithm based on buoyancy and buoyancy moments of the seaplane model at all moments, and further realizing stability analysis of the seaplane at different moments. The position and attitude change of the seaplane relative to the ground can be accurately described, the calculation precision of the buoyancy and the buoyancy moment is effectively improved, and the change trend of the buoyancy and the buoyancy moment in different flight states can be effectively captured.

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 application belongs to the technical field of biological oral manufacturing, and discloses a method for high-precision ink direct-writing 3D printing of ceramic teeth and application, which is suitable for preparing ink for ink direct-writing 3D printing; three-dimensional structure modeling software is used to design the shape of the ceramic tooth; an ink direct-writing 3D printer is used to print ceramic teeth with different shapes; the 3D printed ceramic tooth is placed in an oven for solidification; and the 3D printed ceramic tooth is placed in a sintering furnace for sintering. The 3D printed ceramic tooth prepared by the application has high precision and controllable structure shape, can overcome the problem of brittle material fracture caused by traditional processing technology, and realizes the processing of special ceramic materials. The application can also control the porosity of the ceramic tooth, meet the dynamic balance of mechanical properties and cell growth, and implant fixation. The raw material loss is small in the 3D printing process of the application, which is conducive to environmental protection and can reduce production cost.