1846results about "Configuration CAD" patented technology

A BIM-based prefabricated building design system and a simulated assembly method. The system comprises: a data collection module, a BIM modeling module, a drawing generation module, a component processing module, an assembly module, and a verification module; the data collection module is used for collecting data information of a prefabricated building; the BIM modeling module constructs a BIM model of the prefabricated building according to the data information; the drawing generation module is used for outputting a building component drawing according to the BIM model; the component machining module is used for performing machining and manufacturing according to the building component drawing; the assembly module is used for performing assembly path planning for a manufactured building component, and performing assembly on the basis of a planned path; and the inspection module is used for performing inspection on an assembled building. The present invention implements integration of prefabricated building design and implements prefabricated building installation intelligence, allowing assembly to be accurately completed.

A digital documentation system for preparation of engineering documents utilizing one or more artificial intelligence (AI) algorithms is provided. The system includes a user interface for selecting and populating templates with data, and one or more AI algorithms for creating and recommending templates, and preparing documents based on the recommended templates. The system uses natural language processing and semantic analysis algorithms to understand the content of the templates, documents, and associated engineering data, and to generate and recommend relevant templates to the user based on user prompts. The system also uses machine learning and predictive modeling and decision-tree algorithms to assist with the preparation of documents, by generating suggestions for data fields and values based on the user's previous inputs and the overall context of the document and available engineering data, including model data and metadata from digital models accessed in a zero-trust framework.

The invention belongs to the field of digital delivery, and particularly relates to a digital delivery topology mapping method and system for multi-source real-time data fusion, and the method comprises the steps: obtaining factory building distribution, equipment distribution and operation control logic and preset function block operation logic, and constructing a hierarchical clustering function mapping space through combining an association analysis and clustering algorithm; in response to a target function demand, obtaining a layered response mapping path in combination with a deep search algorithm; layered synchronous response and distributed node anomaly monitoring are realized based on the path, the three-dimensional simulation model and the display system equipment performance and the network state. Tracing abnormities based on a monitoring result in combination with a hidden Markov algorithm and a forward reasoning model, performing iterative verification after conflict resolution until the function is free of abnormities, and updating a mapping space; and adjusting the demand repeating steps to obtain a complete and updated mapping space, and realizing accurate function and picture collaboration under multi-source data fusion.

The invention discloses a digital production plan scheduling method and system, and belongs to the technical field of optimal scheduling, and the method comprises the steps: constructing a distributed storage architecture based on edge computing nodes; a central coordinator is adopted to realize cross-node data synchronization through an improved Raft consensus algorithm, multi-version concurrency control is realized based on a vector clock, and a global consistent data view is established; a visual scheduling platform is built based on a Vue3 framework, and man-machine interaction is realized by adopting a Canvas and WebGL collaborative rendering framework; establishing a dynamic coordinate conversion model based on bilinear interpolation, designing a space mapping function containing distortion compensation, establishing a multi-thread coordinate service based on WebWorker, and realizing submillimeter-level bidirectional mapping of pixel coordinates and physical coordinates; constructing a three-dimensional space-time analysis model fused with the multi-dimensional features; and all the units are subjected to feature fusion through residual connection, and finally a scheduling scheme with a confidence coefficient weight is output. The method and the device have the effect of meeting various scheduling requirements.

The invention provides a prefabricated pipe pile construction total factor intelligent management method and system based on the digital twinborn technology, and relates to the technical field of construction management, a three-dimensional model is established through the BIM technology, pipe pile attributes are bound, construction data are collected in real time through the Internet of Things, and a dynamic digital twinborn body is formed. Through integration of an API interface and a project management platform, an AI algorithm is used for analyzing data, resource allocation and construction plans are dynamically adjusted, instructions are optimized and pushed to the site, construction efficiency and installation precision are improved, and the problems that traditional management is low in efficiency and large in error are solved.

The invention discloses a chip layout method and system based on reinforcement learning and back-end optimization. The method comprises the following steps: constructing a layout optimization model; generating a corresponding position mask, a line mask and a view mask; fusing the position mask and the line mask to generate a local feature, and fusing the line mask and the view mask to generate a global feature; performing feature fusion on the local features and the global features to generate comprehensive features; according to the embedded vectors of the comprehensive features and the global features, generating the probability of various layout optimization actions which should be adopted, and calculating the excitation corresponding to the state after each round of action is updated and the value of the excitation; performing parameter updating according to newly stored experience; training the layout optimization model through the original data set; and eliminating the layout overlapping part to obtain a final layout map. According to the invention, a network can capture a complex mode in chip layout in a deeper level, the layout efficiency of the chip is improved, a more effective layout scheme can be explored, and the exploration efficiency is improved.

The present application relates to the technical field of chip verification, and relates to a software and hardware collaborative simulation verification platform for accelerating verification and positioning of a smart network interface card chip. The platform comprises: a host side QEMU virtual machine, which simulates a hardware device, sends an IO request, responds to the IO request, and calls a device driving program to implement driving execution of a host side hardware device; a host side thread adapter, which converts a multi-thread processing program of the host side QEMU virtual machine into a single-thread processing program; an UVM verification platform, which performs simulation reproduction of FPGA prototype verification of the smart network interface card chip to generate a simulation waveform and a simulation log; a network side data stream adapter, which performs data type conversion on an Ethernet message; and a network side data packet transceiver, which performs message legitimacy check on the Ethernet message returned by the network side data stream adapter. The platform of the present application can improve the problem positioning speed and the chip verification efficiency, shorten the overall chip development period, and improve the chip quality.

Digital model platform that enables the streamlined creation and management of digital twins and physical twins by leveraging external feedback and artificial intelligence (AI) is disclosed. Methods and systems for a model collaboration platform that facilitate the integration of external feedback, whether from physical, virtual, or human sources, into the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Updated results are output to those external sources, including physical twins, other digital twins or models and simulations, and / or human users. External feedback includes feedback data from physical prototypes and their environment, virtual prototypes, simulations, and subject-matter experts. Embodiments are directed to integrating external feedback into the assembly and system-level assessment of digital twins, physical twins, digital threads, and the iterative design of constituting digital engineering models, including constructing, maintaining, and improving digital engineering models for the design, validation, verification, certification, operations, and maintenance of complex systems.

A bridge scour formula optimized reconstruction method based on symbol regression. The method comprises: obtaining statistical data of bridge scour, and separately using the statistical data as a training set and a test set; determining an initial structure of a bridge scour formula; firstly, determining a candidate operator, then introducing a function group having significant physical importance and a statistical relationship in scour, and determining a candidate operation variable; by using a symbol regression method based on genetic programming, generating an optimization formula by using data of the training set; adjusting parameters and generating an alternative formula group; and, on the basis of the test set, performing formula effect evaluation and filtering out a formula form having an optimal predicted effect and the simplest formula structure. On the basis of existing standard formulas, by using a symbol regression method based on a genetic programming algorithm, a machine learning method having a nonlinear representation capability is fused, in order to more accurately mine rich features in data. Meanwhile, by combining prior knowledge of scour and a physical relationship, prediction performance and generalization of a scour calculation formula can be improved.

The invention discloses an intelligent city planning method and system based on multi-source remote sensing data fusion, and particularly relates to the technical field of city planning, and the method comprises the steps: S1, region division: dividing a planning region into M dynamic management grids based on GIS geographic coordinates and city function zoning data, carrying out the auxiliary recognition of topographic relief and building height through LiDAR point cloud data, and adjusting the boundary of the grids, establishing a bidirectional mapping relation between the grid and the multi-source sensing equipment; s2, multi-source data acquisition: constructing a city holographic data set through global coverage and a multi-modal sensing technology, acquiring target city data in real time, then executing multi-stage cleaning and space-time alignment, and performing normalization operation on each layer of data by adopting a standardized processing mode to obtain city data; according to the invention, an air-sky-ground-network global sensing network and a multi-level space-time grid framework are constructed, satellite remote sensing, unmanned aerial vehicle point cloud, ground sensors and urban operation data are deeply fused, and the limitation of single-source data of a traditional system is broken through.

The invention relates to the field of intelligent city planning, and discloses a street space quality intelligent evaluation and image generation method and system based on deep learning, and the method specifically comprises the following steps: movably collecting a street space image, and recording the geographic position information; performing perspective correction and multi-view image segmentation on the acquired street image data, and performing spatial matching with geographical location information to obtain a fused image database; and performing semantic segmentation on the image in the fused image database based on a deep learning model, calculating objective and subjective visual perception indexes and facility function indexes of the image, and generating a street space quality evaluation result. The method solves the problems that in the prior art, evaluation dimensions are limited, and an automatic response generation mechanism is lacked, and has the advantages of being intelligent, efficient and comprehensive in subjective and objective evaluation.

The invention discloses a computer network experiment environment dynamic construction method based on virtual simulation, which belongs to the field of computer network experiment teaching and virtual simulation technology application, and comprises the following steps: analyzing experiment scene description to generate a modular construction instruction; creating and initializing a virtual machine instance and a basic network; generating a required virtual network device and constructing a corresponding virtual connection; configuration parameters, service scripts and security policies are comprehensively applied to the virtual machine and the network equipment; and integrally outputting the experimental environment to a user interaction interface. According to the method, the demand-driven instruction arrangement, virtual resource pooling scheduling and multi-layer automatic configuration technologies are adopted, so that a diversified and deeply interactive virtual computer network experiment environment can be quickly and flexibly constructed according to specific experiment demands of a user; and the resource utilization rate, the scene construction efficiency and the flexibility of the teaching mode of network experiment teaching are obviously improved.

The invention provides an intelligent driving simulation method and device based on big data joint training, relates to the field of intelligent driving, and solves the technical problem of performance degradation of a world model in a real scene due to distribution difference between virtual data and real data in the prior art. The method comprises the following steps: carrying out noise reduction processing on first environment data, carrying out feature analysis on the first environment data to determine an importance weight, and taking an area of which the clustering density of the importance weight meets a preset condition as a target scene; processing the first environment data based on a diffusion model to generate second environment data; using the second environment data and the target scene to construct a world model; processing the first environment data based on a visual language model to obtain dense description information of the target scene; generating a simulation scene according to the dense description information of the target scene and the world model, and performing an intelligent driving algorithm simulation test according to the generated simulation scene; the method and the device are used in an intelligent driving simulation training process.

The invention provides a BIM component automatic identification and storage method and system based on multi-modal artificial intelligence fusion, and relates to the technical field of building information, and the method comprises the steps: receiving a BIM component model file, and preprocessing an obtained attribute parameter table; inputting the information into a multi-modal recognition engine, and outputting a classification result and confidence through Rapidfuzz fuzzy matching file names, OPEN-CV + YOLOv8 image recognition and knowledge graph analysis parameters; the dynamic fusion decision-making module calculates the final confidence coefficient according to the dynamic weight, and solves classification conflicts in combination with a dynamic rule base of industry specification rule priority; according to a confidence coefficient threshold value, judging automatic warehousing or triggering grading manual auditing; manual audit data are collected and fed back to the multi-mode recognition engine, and incremental knowledge self-learning is achieved. Through multi-modal fusion and dynamic decision making, the BIM component recognition accuracy and warehousing efficiency are remarkably improved, personal errors are reduced, and dynamic updating of a component resource library and system self-evolution are achieved.

The invention discloses a whole-process application method for an indoor decoration engineering digital model, and relates to the technical field of building information models.The method comprises the steps that a decoration semantic mapping engine is deployed, multi-source model attributes are standardized into a unified attribute dictionary, and a neutral semantic package is generated; splitting the neutral semantic package into single component nodes, and storing the single component nodes in a tense graph to realize object-level version management; generating an incremental packet by changing the monitoring stream and comparing the fingerprint; automatically combining decisions or generating a to-be-confirmed list by utilizing a conflict analysis pipeline; synchronizing the update fragment to a scheduling system and a logistics interface through a service bus; and finally, the field terminal dynamically superposes the scanning data and the sensing reading according to the component fingerprint, and writes back and feeds back to correct the mapping rule. The technical characteristics of the method cover semantic management, data synchronization and field feedback. The semantic consistency and the data accuracy are improved, the information islands are effectively inhibited, and the full-period management efficiency of the interior decoration engineering is improved.

The invention provides a main wiring automatic mapping method and system for SCD file topological connection, and the method comprises the steps: forming a topological connection code of equipment in a gap by taking the gap as an object through automatic analysis and recognition of primary equipment described by transformer substation configuration in a transformer substation SCD file and a topological connection relation of the primary equipment; building and layout of device primitives in the interval and generation of connecting lines are completed based on topology connection coding, and therefore automatic generation of interval primitives is completed; the layout mode of the main wiring diagram is automatically deduced by analyzing various characteristics such as the voltage class, the bus type and the wiring mode of the transformer substation, and automatic matching of the layout of the main wiring diagram is achieved; by analyzing the position relation between the main transformer and the voltage grade, analyzing the direction of the connecting line and setting a proper connecting line inflection point, the intersection and overlapping of the connecting line are avoided, and the automatic generation of the main transformer and the main transformer interval connecting line is completed.

The invention relates to the technical field of fire fighting, and provides a fire engineering robot installation system based on a multi-modal model, which comprises an installation mechanical arm, a task analysis module, a spatial modeling module, a layout planning module, an action control module and a quality verification module, drawing and BIM model multi-modal input are fused, key information is extracted, and a structured task instruction is output; the spatial modeling module performs three-dimensional structure modeling on a construction site to form a spatial point model, identifies building components and constructable areas, completes high-precision registration of a drawing structure and a real scene, and analyzes environmental constraint conditions; the layout planning module generates a fire-fighting equipment distribution scheme on the basis of meeting specification requirements according to the task instruction and the spatial point model; the action control module converts the point distribution scheme and the type of the installed fire fighting equipment into an action instruction sequence which can be executed by the robot; and the quality verification module performs automatic detection on the installation result.

The invention provides an automatic agent model construction method for a product CAD (computer-aided design) model, which comprises the following steps of: defining a part CAD model of a product form and a size and a dependency relationship of a logic relationship and a constraint between different parts; according to a mapping rule for converting an assembling CAD model into Sysml-based model elements based on a plurality of parts and relative positions and connection modes among the plurality of parts, realizing standardized proxy model expression of the product CAD model; and realizing automatic conversion from a native model to a Sysm l-based proxy model based on ATL, and realizing automatic construction of the whole process of the proxy model. A mechanical arm product CAD model serves as an example, an agent model of the mechanical arm product CAD model is constructed, and the abstraction and expression process of the product CAD model is displayed. According to the method, the CAD model of the product can be effectively supported to be incorporated into a digital main line, rapid transmission and feedback of information in the whole life cycle process of the product are promoted, and information cross-domain integration and collaboration are promoted.

The invention belongs to the technical field of intelligent clothing pattern making, and relates to a text-driven intelligent clothing pattern generation method, which specifically comprises the following steps of: inputting a user-defined clothing pattern feature description text into a trained intelligent clothing pattern generation model to generate clothing pattern data; jointly inputting the generated garment template data and a user-defined action feature description text into a trained learning-based three-dimensional virtual fitting model, and setting parameters of the inelastic fabric to obtain garment template data of the inelastic fabric; the real elastic fabric parameters are adopted to optimize the garment template data of the inelastic fabric, and garment template data of the real elastic fabric are generated; and finely adjusting and storing the garment template data of the real elastic fabric according to individual requirements. According to the method, the generation efficiency and quality of the garment template are remarkably improved, the fitness and comfort of the garment in a dynamic scene are effectively improved, and an innovative solution is provided for intelligent garment pattern making.

The invention provides an underground pipe network engineering drawing drawing method and system based on a standard legend library, and relates to the technical field of engineering drawing, and the method comprises the steps: obtaining pipeline space positions, connection relations and initial data of legend information; retrieving the standard legend with the highest matching degree by using a deep neural network to generate a two-dimensional engineering drawing; the two-dimensional drawing is converted into a three-dimensional model, and the pipeline layout with the collision risk is adjusted through an optimization algorithm based on field potential flow; and automatically updating and outputting an engineering drawing according to the optimized three-dimensional model. According to the method, intelligent optimization of pipeline layout is realized, and the drawing efficiency and accuracy are improved.

The invention relates to the field of digital circuit experiment teaching, in particular to a digital circuit experiment platform and method applying a multi-modal large model and a medium, and the method comprises the steps: inputting experiment task description, analyzing and extracting structured semantic information, and forming task representation; retrieving a circuit function block from the electronic component knowledge base, constructing a context enhancement cue word, guiding a multi-modal large language model to generate a Verilog HDL code, and outputting the Verilog HDL code after grammar check and function verification; a Yosys tool is used for carrying out logic synthesis on the codes to generate a standard JSON netlist, and then the standard JSON netlist is converted into an SVG-format circuit diagram through a Netlistsvg tool; and an electronic component knowledge base updating mechanism is constructed to realize knowledge cyclic evolution and adaptive enhancement, so that the intelligent level and practical training efficiency of circuit experiment teaching are remarkably improved.

The invention belongs to the technical field of link mechanism design algorithms, and particularly relates to a humanoid robot leg four-link mechanism design optimization method which comprises the following steps: simplifying a leg mechanical structure, and abstracting a mathematical model of a four-link mechanism; establishing a kinematic model of rotation of the four-bar mechanism, and calculating a rotation angle; analyzing kinematic characteristics of the four-bar mechanism in the rotating process; and establishing alternative schemes based on different combinations of the design parameters, and screening an optimal design scheme according to constraint conditions and dynamic characteristics. According to the method, a mathematical model for solving unique design parameters is not established, but a semi-empirical method is adopted, and an optimized design scheme is screened out by traversing possible combinations and analyzing dynamic characteristics one by one. According to the method, the multi-parameter model is established based on the four-connecting-rod mechanism, an optimization scheme is screened in combination with experience, the difficulty of establishing a complex model is reduced, the efficiency is improved through establishment of a unified design process, and the universality of the method is improved through introduction of manual analysis.

The invention relates to the technical field of computer aided design, and discloses an aircraft conduit part identification method, which adopts a multi-stage screening and contrast identification mode, and specifically comprises the following steps of: screening all parts in an aircraft from two aspects of part name keywords and the proportion of the sum of curved surface areas in the parts in the surface area; filtering irrelevant part digifax to reduce the calculation amount of conduit digifax recognition, and obtaining a part candidate set; in the part candidate set, whether other parts assembled on each part have pipe sleeve parts or not is judged through a shape similarity calculation method, the influence of shape uncertainty of the guide pipe parts on the recognition process can be avoided, and then successful recognition of the guide pipe parts is achieved.

To provide a management system that improves the maintainability of a configurator.SOLUTION: A management system manages a configurator that selects candidate combinations of elements that configure a product. The management system comprises: a storage unit for storing configuration information that defines data related to the elements, data related to connections between the elements, and data related to constraints on the connections; and a control unit for selecting candidates for the combination based on a request received from a user and rules related to the combination of the elements generated from the configuration information.SELECTED DRAWING: Figure 1

A circuit simulation method partitions circuits into linear and nonlinear subcircuits, obtains frequency responses of the linear portion, and applies causality-enforcing corrections to eliminate non-physical artifacts from band-limited data. The corrected responses enable construction of equivalent circuit models using voltage / current sources with passive elements, where source values update via convolution with port histories. This approach improves simulation accuracy and stability compared to direct frequency-inverse methods while maintaining compatibility with standard platforms including SPICE, PSCAD, and Simulink. Applications include power system transients, RF circuits, and high-speed digital interfaces.

The invention provides a packaging processing method and system for a storage chip and a medium, and belongs to the technical field of semiconductor packaging. The method comprises the following steps: constructing an initial three-dimensional model of a packaging body, cleaning and detecting a bare chip, and correcting the model after laser cutting; electrical, thermal and stress performances are simulated and optimized, multiple chips are integrated by adopting an SiP technology, and three-dimensional wiring of a substrate is completed; and after three times of cleaning, a molding process is optimized through mold flow simulation, a system-level mainboard is connected by utilizing a BGA technology, and finally, a full-performance test is completed. Through multi-stage simulation and process collaborative optimization, the packaging density, reliability and manufacturing yield of the storage chip are improved, and the method is suitable for industrial production of high-density integrated storage devices.

A digital twin service of a provider network allows a user to build high fidelity models (“digital twins”) for components and for systems of multiple components. For a given component, the digital twin service receives, from a user, identification of interactions for the component (e.g., inputs / outputs at the boundary), identification of data sources at the system (e.g., sensor that stream data), and / or a definition of behavior of the component (e.g., one or more behavior functions to simulate the component). The digital twin service builds a digital twin model of the component based at least on the interactions, the data sources, and the behavior. The digital twin service may also receive, from the user, an indication to bind one or more outputs of the digital twin model to one or more inputs of at least another of the digital twin models to build a digital twin model of the system.

The invention provides a design method based on a BIM model, and relates to the technical field of building design. The method comprises the following steps: constructing a component library of a BIM model, wherein the component library is used for determining that each component used in the BIM model meets a target construction standard; determining a drawing standard and a deepening direction of the building project based on the target construction standard; building a BIM model of the construction project based on the component library, and performing deepening processing on nodes in the BIM model based on the deepening direction, and obtaining a target BIM model under the condition that the deepening processing is completed; and receiving attribute information of a drawn drawing, and generating a construction drawing conforming to the drawing output standard based on the target BIM model. According to the method, the technical concept of forward drawing output can be achieved, the homology and consistency of design data are kept, and therefore the accuracy of produced design drawings can be improved.

The invention provides a digitized design method for a helicopter transmission system driven based on design requirements, which comprises the following steps of: 1, constructing a design requirement model according to design task requirements and standards; 2, constructing a meta-model of each stage and a part parameter meta-model; 3, analyzing the functions of the parts, and forming a feasible transmission scheme; step 4, distributing a transmission ratio, estimating weight and efficiency, and screening an optimal transmission scheme; 5, acquiring a transmission unit and a transmission relation, and establishing a transmission chain model; 6, parameterization design is carried out on the part, and a result is packaged in a part meta-model; 7, strength checking and performance simulation are carried out, and design result verification is carried out; 8, constructing a transmission system assembly physical model; and step 9, constructing a comprehensive database, and establishing a data version transmission and tracing mechanism. The problems that a traditional design method is poor in interactivity and difficult in model consistency maintenance and data tracing are solved, and the digitized full-process design and full-period management capacity of the transmission system is improved.

The invention discloses a power transmission line path planning method and system based on a natural language and a knowledge graph, and the method comprises the steps: analyzing a natural language path planning target through a large language model, obtaining an intention classification result and a named entity, mapping the intention classification result and the named entity to a business rule knowledge graph for reasoning, and generating a task step sequence; receiving confirmation or modification of a user on each task step to obtain each target task step; searching a combination corresponding to each target task step from the GIS operation knowledge graph by utilizing a large language model, and disassembling the combination into a GIS operator call chain; and calling a corresponding GIS tool through an MCP protocol, executing spatial analysis operation in the GIS operator calling chain corresponding to each target task step according to the sequence of all the target task steps, and generating a path planning result of the power transmission line. According to the invention, full automation, process interpretability and man-machine interaction cooperation of power transmission line path planning are realized, and the power transmission line path planning efficiency is improved.