381 results about "Design systems" patented technology

The invention discloses a multi-modal knowledge-based automotive body innovative design system, which comprises a multi-modal data fusion module, a multi-modal data fusion module, a multi-modal data fusion module, a multi-modal data fusion module and a multi-modal data fusion module, wherein the multi-modal data fusion module is used for receiving text data, picture data, a three-dimensional CAD (Computer Aided Design) model file and an engineering symbol expression from an automotive body design process and is used for carrying out feature extraction and semantic alignment on input data of four modals; generating a unified semantic vector representation; the cross-modal knowledge mining and graph construction module is used for extracting multi-level entities and relationships from the unified semantic vector and constructing a dynamically weighted multi-modal knowledge graph; the large-model-driven multi-hop collaborative reasoning module is used for analyzing the multi-modal design requirement of a user, carrying out multi-hop reasoning on a knowledge graph, and outputting design parameter recommendation and an interpretable reasoning chain. The method aims at breaking through the limitation of an existing design system in the aspects of multi-modal processing and shallow semantic understanding, and deep fusion and intelligent application of multi-source heterogeneous design data are achieved.

The invention discloses an automobile wire harness process rule automatic matching method based on a knowledge graph, and the method comprises the following steps: collecting wire harness design data, and carrying out the standardization processing; analyzing the process rule base, extracting key attribute fields and generating a process rule metadata set; semantic modeling and structured fusion are carried out, and a process knowledge graph is constructed; performing semantic association analysis, causal constraint fusion and feasibility judgment processing by utilizing a semantic retrieval enhancement module; carrying out provable retrieval, risk assessment and conflict resolution based on the candidate process rule set; converting the target process rule set into a process instruction, and driving a design system to perform synchronous updating and rule labeling; and updating the process knowledge graph based on system feedback data, and outputting an optimized process verification report and updating a design version. The method is based on the knowledge graph and the semantic causal fusion technology, intelligent matching of the wire harness process rules is achieved, and the method has the advantages of being high in matching precision, high in interpretability and capable of achieving self-adaptive optimization.

The invention belongs to the technical field of composite material design, and discloses a polyimide-based composite material design method and system based on experiment-machine learning collaborative optimization. The method comprises the following steps: S1, experimental database construction and machine learning performance modeling; S2, machine learning model construction and training; S3, model evaluation and performance index output; and S4, intelligent design of the polyimide-based composite material. The multi-objective performance collaborative optimization design and preparation of the polyimide-based ternary carbon heterostructure composite material are carried out by taking experimental data as a main material and machine learning as an auxiliary material. According to the method, an experiment-model-optimization closed-loop iterative design system is constructed based on an experiment-machine learning collaborative optimization method, the method has the advantages of high prediction precision, high optimization efficiency, good multi-target adaptability and the like, the development efficiency of the polyimide-based composite material is remarkably improved, and the development cost of the polyimide-based composite material is reduced. The method is suitable for intelligent design and large-scale application and popularization of the high-performance heat-conducting electromagnetic shielding material.

A system for a visual design system (VDS) includes storing at least one layout and an associated layout signature where the associated layout signature represents a hierarchical composition of the semantic types of the components; a unit to analyze components of an existing layout provided by a user of the VDS, to determine a component set signature, to compare it with at least one stored associated layout signature and to find a set of candidate layouts which are visually diverse and semantically similar to the existing layout; where the unit presents the set of candidate layouts to the user, updates the existing layout according to a user selected layout. It also includes an experiment system to create, run and analyze the results of at least one experiment using at least one of: A / B and multivariate testing on user selected layouts to provide information on user preferred layouts for the VDS.

The invention provides a power transmission and transformation project full-life-cycle carbon emission design system based on multi-objective optimization, and the system comprises a full-life-cycle carbon emission database module which is used for storing carbon emission factors and technological parameters of a power transmission and transformation project in each stage; the engineering scheme modeling module is used for generating an engineering scheme including a standardized bill of materials and a construction list based on the carbon emission factors and the process parameters in combination with engineering parameters and design data; the carbon emission evaluation module is used for evaluating the full-life-cycle carbon emission of the engineering scheme; the multi-objective optimization module is used for realizing synchronous optimization of the carbon emission and various constraint conditions to obtain a plurality of engineering scheme solution sets; and the decision support and visualization module is used for visually displaying the target optimization solution set and the carbon emission of the whole life cycle, automatically generating an engineering scheme for comparative analysis, and assisting a decision maker to quickly select an optimal scheme. And through a multi-objective collaborative optimization method, synchronous optimization of full-life-cycle carbon emission and economic objectives is realized.

The invention belongs to the technical field of vibration reduction control of jet printing equipment, and discloses a vibration reduction optimization control method, device and equipment for the jet printing equipment and a storage medium, and the method comprises the steps: obtaining the dynamic data of the OLED jet printing equipment, building a vibration dynamic model of the OLED jet printing equipment through a frequency domain identification method, and carrying out the vibration reduction optimization control of the OLED jet printing equipment based on the vibration dynamic model. A state space model is constructed, and a designed system excitation signal is respectively input into a discretization equation corresponding to the state space model and a disturbance calculation model corresponding to the state space model so as to calculate the predicted acceleration and the feed-forward compensation amount of the OLED jet printing equipment after active vibration reduction in combination with dynamic data. Establishing a model prediction algorithm cost function and a state parameter constraint condition corresponding to the predicted acceleration to perform vibration reduction optimization control on the OLED jet printing equipment in combination with the feed-forward compensation amount; by means of the method, damping optimization control over the OLED jet printing equipment can be achieved.

The invention discloses a green aluminum plate curtain wall design system and method based on digital modeling, and the method comprises the following steps: S1, obtaining building surface point cloud data through laser scanning, and constructing a target building three-dimensional model; and S2, based on the three-dimensional model in the S1, calling a material attribute database to obtain green aluminum plate parameters (the recovery rate is greater than or equal to 85%, and the thickness is less than or equal to 3mm), segmenting geometric features of a building facade by adopting an improved U-Net convolutional neural network, and outputting a curtain wall unit segmentation scheme. According to the method, through the multispectral point cloud fusion technology, the building curved surface modeling error is smaller than or equal to 0.5 mm, the hyperbolic curtain wall design bottleneck is overcome, and the recognition precision of an AI segmentation engine on a special-shaped unit reaches 98.7% and is improved by 13.5% compared with a traditional clustering algorithm (85.2%); according to the method, wind pressure / thermal strain distribution is accurately predicted through multi-physics field coupling simulation, and the safety coefficient is increased by 25%.

The invention belongs to the field of computer aided design systems, and relates to a CAD multi-modal data set automatic construction method, which comprises the following steps of: firstly, rendering a three-dimensional CAD model to be marked into a standardized multi-view two-dimensional image set through a data processing system, enhancing a multi-modal large model by utilizing a keyword vector and a low-rank adapter, and constructing a multi-modal data set; the method comprises the following steps of: extracting a geometric label from an image as a hard constraint, generating a text description of a natural language, then verifying a labeling result through a self-consistent strategy, and finally associating the multi-view two-dimensional image, the geometric label and the text description with an original model to construct a high-quality CAD multi-modal image-text pair data set. According to the method, visual feature extraction and language description generation are decoupled into two subtasks with clear purposes, so that the labeling consistency and the recognition precision are improved, and low-cost automatic construction of large-scale CAD data is realized.

The invention provides a truss structure autonomous design system and method based on multiple agents. A layered multi-agent architecture is adopted, a general control agent is taken as a core, and a high-level design intention is analyzed and a plurality of downstream special agents are arranged for cooperative work; the whole design process realizes automatic closed loop through a graph-based workflow engine; the core innovation of the method is a hybrid intelligent optimization algorithm of LLM heuristic exploration and genetic algorithm accurate fine tuning, and the algorithm is driven by an original and quantifiable design quality scoring system to efficiently carry out analysis-diagnosis-optimization iteration so as to cooperatively improve the safety and economy of the design. The design time can be shortened from several hours to several minutes, about 7.0% of material consumption is saved on average, it is ensured that the scheme completely conforms to industry specifications, the design efficiency, economy and reliability are greatly improved, and meanwhile the use threshold of professional design software is remarkably reduced through natural language interaction.

The invention belongs to the technical field of casting, and provides an optimization design method and an optimization design system for casting an exhaust pipe. The method comprises the following steps: S10, establishing a three-dimensional digital model designed by an exhaust pipe casting, a riser, a pouring system and an initial internal chill, and performing casting solidification process simulation on the three-dimensional digital model based on an interference signal set to obtain a shrinkage defect prediction result and an internal chill interface thermodynamic analysis result; s20, according to the shrinkage porosity defect prediction result, the geometrical shape and the structural layout of a specific area of the internal chill are adjusted; s30, adjusting design parameters and pouring process parameters of the contact interface of the internal chill and the exhaust pipe casting according to the thermodynamic analysis result of the interface of the internal chill; and S40, the steps are repeated, iterative simulation and optimization are carried out until the simulation result meets the preset shrinkage inhibition standard and the internal chill fusion standard at the same time, and the target internal chill design is obtained and output. According to the invention, the occurrence probability of black skin processing can be reduced on the premise of effectively inhibiting shrinkage porosity.

The invention discloses an airflow organization optimization design system and method based on a clean room tuyere, and relates to the technical field of clean room tuyere design, the system comprises a digital twin model construction module, a real-time data acquisition module, a problem identification module, a parameter simulation optimization module and a pre-debugging scheme output module; according to the method, the digital twin model of the clean room is constructed through computer-aided design and linked with real-time operation data, conversion of airflow organization optimization from static design to dynamic response is achieved, the problem that in the prior art, an optimization scheme is disjointed with an actual operation scene is solved, and by automatically recognizing problematic tuyeres and simulating and optimizing a parameter adjustment scheme, the optimization efficiency is improved. Traditional blind debugging depending on manual experience is replaced, repeated trial and error are avoided, the debugging accuracy and efficiency are improved, stable maintenance of cleanliness indexes of the clean room is guaranteed, meanwhile, the influence of the debugging process on the production progress is reduced, and powerful support is provided for efficient and reliable operation of the clean room.

An experiment management system for an online visual design system includes a processor and a memory storing instructions that, when executed by the processor, cause said system to implement an experiment creator to receive an experiment specification, an experiment integrator to integrate the experiment into the experiment management system, an experiment manager to manage the experiment during runtime and an experiment configurer for configuring the experiment. The experiment configurer includes a population expander to expand a target population of said experiment while the experiment is still live by replacing a first population definition with a second population definition that is a superset of said first population definition, where the population expander performs expansion through one of a plurality of predefined expansion paths.

The invention relates to the technical field of artificial intelligence and intelligent manufacturing, and discloses a multi-source heterogeneous data and large language driven process intelligent design system and method, and the system comprises a multi-modal data processing module which is used for achieving the structural information extraction of multi-source heterogeneous engineering data; the multi-source heterogeneous mixed database construction module is used for realizing storage of multi-source process knowledge and joint query of a database; the large model construction and optimization module is used for constructing a large model to realize user intention understanding, process knowledge fusion and process scheme generation and optimization; the intelligent processing technology collaborative design system provides a multi-mode interaction interface for a user to realize full-process automatic technology design from demand input to scheme output; according to the system and the method, the full-process intelligence from part information extraction, process knowledge retrieval, process scheme generation to simulation verification optimization is realized, and the system and the method can be widely applied to machining process design and optimization scenes in the fields of industrial mother machines, robots, high-end equipment manufacturing and the like.

The invention provides a flood discharge tunnel parameterization design system, and relates to the technical field of hydroelectric and hydraulic engineering intelligent design, and the system comprises a management module which is used for transferring all modules of the flood discharge tunnel parameterization design system; the modeling module is internally provided with a flood discharge tunnel parametric modeling library and is used for automatically establishing a flood discharge tunnel three-dimensional model; the parameter module is used for managing parameters related to the design of the flood discharge tunnel; the display module is used for observing the design of the spillway tunnel by a designer; and the design scheme generation and management module is used for extracting the three-dimensional model information of the flood discharge tunnel, calculating and outputting the engineering amount, outputting a corresponding engineering drawing based on the three-dimensional model information of the flood discharge tunnel, and storing the design scheme. According to the method, the spillway tunnel axis and the terrain surface model are only used as input elements, other operations are driven through parameters to update the three-dimensional model, high matching of three-dimensional design and a traditional design process is achieved, and a mode with skeleton driving as a core in traditional modeling is replaced.

The invention provides an interior design system and method based on a virtual reality technology. The method comprises the steps that house pattern parameters needing interior design are acquired; a virtual reality technology is adopted, a virtual environment is generated and built according to house pattern parameters, and an initial design model is generated in combination with traditional design parameter selection; collecting a life video of a user, and extracting preference features from the life video; optimizing the initial design model according to the preference features to obtain a second design model; the user performs virtual interactive perception in the second design model to generate a first detail feature; performing visual disassembly on the second design model, providing user opinions by a user according to the disassembled second design model, and performing feature extraction on the user opinions to obtain second detail features; and performing detail optimization on the second design model according to the first detail feature and the second detail feature to obtain a final design model. The design scheme is ensured to conform to professional specifications and meet deep requirements of users.

The invention relates to a power grid project basic design system and method based on a general function module. The system comprises a general editing module, a basic primitive modeling module, a parameterized component module, a model integration module and a link reference module. The universal editing module is used for freely adjusting, placing and combining the selected primitives; the basic primitive modeling module is used for providing various basic primitives and completing splicing among the primitives through surface-based arrangement and parameter change; the parameterized component module is used for creating parameterized components in a UI interaction mode; the model integration module is used for importing a public data format through an interface to carry out modeling and design operation; and the link reference module is used for integrating the local file into the current model in the system through the model link reference interface to serve as view reference. Compared with the prior art, the method has the advantages that the technical architecture and functional system design of the design foundation platform is completed under the guidance of the power grid engineering design requirements, and the efficiency is improved.

The invention discloses a heterogeneous fuzzy and game-based double-layer adaptive evolution CAD modeling command generation method, and belongs to the technical field of artificial intelligence and computer-aided design intelligent modeling. The method solves the technical problems that in an existing natural language driven CAD command generation technology, fuzzy semantics are difficult to quantify and map, heterogeneous commands are poor in adaptability, the executable performance of generated commands is low, and the reasoning process is black-box-shaped. According to the method, a semantic analysis-game generation-evolution refinement-verification backtracking-knowledge precipitation full-process closed-loop architecture is constructed, the method can be applied to the fields of industrial software, three-dimensional modeling, intelligent design systems and the like, the engineering performability, generalization ability and reasoning interpretability of command generation are improved, the generation diversity and feasibility are balanced, and the method is suitable for popularization and application. And the model iteration cost is reduced, and technical support is provided for industrial landing of the text-driven CAD modeling technology.

The invention discloses a clothing process template intelligent design system and method, and relates to the technical field of clothing process template design. The system comprises a user data acquisition processing module, an intelligent matching generation module, a template parameter optimization module, a visual design interaction module, a template output module, an iteration updating module and a basic process template library. The user data acquisition and processing module is used for acquiring clothing type demand and body type data, and generating demand feature data through tagging and standardized coding; the intelligent matching generation module is used for matching a target basic process template and preliminarily adjusting the target basic process template to obtain a preliminarily matched template; the template parameter optimization module combines fabric attribute parameters for secondary optimization to generate a clothing process template; the visual design interaction module is used for realizing 2D rendering, 3D human body fitting simulation and manual fine adjustment of the clothing process template; the template output module is in butt joint with production equipment to complete material object manufacturing; and the iteration updating module updates the basic process template library. According to the invention, the intellectualization, suitability and efficiency of clothing process template design are improved.

The invention discloses an intelligent diagnosis method for wear of a high-speed bearing of an emulsifying machine, and the method comprises the steps: collecting multi-working-condition vibration and environmental noise signals through an experimental design system, and building a structured and standardized multi-channel data set; injecting various typical abnormal multi-scale signals by utilizing a physical modeling and simulation algorithm; adopting a working condition gating multi-branch time-frequency feature extraction network to obtain adaptive features; according to the method, high-confidence anomaly discrimination is realized in combination with a multi-discrimination sub-model and ensemble learning, and anomaly traceability and model self-learning are realized through a back projection and dynamic update algorithm. The method is suitable for intelligent monitoring and health management of emulsifying machine bearings under complex variable working conditions.

The invention discloses a fan lattice tower optimization design system and method based on an improved genetic algorithm, and the system comprises a parameter input module which is used for receiving and preprocessing tower design parameters; the population initialization module is used for randomly generating a population and adapting to the change of the overall structure layer number of the tower by adopting a variable-length coding strategy; the finite element modeling and analysis module is used for constructing a parameterized finite element model for individuals of each population based on a finite element platform and performing finite element analysis; the algorithm optimization module is used for calculating the total cost and penalty term of each individual, and then taking the total cost of the tower as an optimization target, and using an improved genetic algorithm to complete optimization iteration; and the result output module is used for outputting an optimal individual parameter and a total cost optimal value when optimization iteration reaches the maximum evolutionary algebra or meets a convergence condition. The manufacturing cost of the tower can be remarkably reduced on the premise that constraint conditions such as strength, stability and frequency are met.

The present invention relates to a CAD collaborative design system, for storing CAD files according to a timeline, and that facilitates restoration and review of versions created, modified, and updated at different times. The system stores the CAD files by means of summary files and incremental databases, thereby reducing data transmission volume, ensuring accuracy of file restoration, and improving the file management efficiency of the entire CAD system.

The application discloses a kind of multi-dimensional multiple access and lightweight continuous authentication combined design system.The combined design system is based on non-orthogonal multiple access technology, explores multiple domains of device access, describes the access time sequence of multiple users, sub-channel and power allocation as a joint optimization problem, improves the communication performance of system while guaranteeing the continuous identity authentication of multiple devices.The system uses the unique access time sequence and channel generated by the user in advance to realize the simultaneous verification of multiple users at the base station end;While guaranteeing the continuous authentication of multiple users, the communication performance of the system is improved by optimizing their channel and power allocation.The system provides a fast network access and continuous authentication scheme for devices, which can be widely applied in wireless communication scenarios.

The application provides a kind of multi-microgrid collaborative economic dispatching method based on blockchain, comprising: based on microgrid group multi-group architecture model, construct microgrid group dispatching architecture model based on blockchain;Based on objective function submodel, constraint condition submodel and incremental cost submodel, an economic dispatching model is constructed;Wherein, economic dispatching model includes: microgrid layer economic dispatching model and microgrid group layer economic dispatching model;Based on microgrid group dispatching architecture model, intra-group scheduling is carried out on microgrid layer economic dispatching model, and inter-group scheduling is carried out on microgrid group layer economic dispatching model, to obtain multi-microgrid collaborative economic dispatching result.The application constructs microgrid group system distributed dispatching architecture, designs system economic dispatching model with comprehensive economic and environmental protection targets, and proposes a kind of intra-group optimization and inter-group optimization economic dispatching method based on blockchain.In the case of ensuring good expansibility, the economic efficiency and fault tolerance of microgrid group are improved.

1. The name of the design product: a graphical user interface for quick design of parts process with components for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best shows the design points: front view. 5. The usual design, omitting the rear view, left view, and top view. 6. The use of the graphical user interface: the interactive interface of the quick design system of parts process with components, used for setting and using the interface of the quick design program of parts process with components after login. 7. The area of the graphical user interface in the product: the screen area. 8. The human-computer interaction mode of the graphical user interface: different function operations can be performed by clicking the different areas or icons displayed in the interface with the mouse. 9. The change state description of the graphical user interface: after the program is started, the main view is entered; in the main view, the username and password are input, and the "login" button is clicked to enter the interface change state figure 1; in the interface change state figure 1, the "process route design" and "confirm" buttons are clicked in turn to enter the interface change state figure 2; in the interface change state figure 2, a certain "node" in the tree structure is clicked to enter the interface change state figure 3; in the interface change state figure 3, the "node" is right-clicked to enter the interface change state figure 4; in the interface change state figure 4, the "open template process route" is right-clicked to enter the interface change state figure 5; in the interface change state figure 5, the "confirm" button is clicked to enter the interface change state figure 6.

The invention belongs to the field of three-dimensional digitization, and particularly relates to a three-dimensional design system for a large transformer oil tank, which comprises an oil tank service rule table, a three-dimensional design table, a three-dimensional design table and a three-dimensional design table, wherein the oil tank service rule table is used for expressing execution logic rules and assembly information logic rules of oil tank services in a file form; the parameterization design module is used for inputting calculation order data to the parameterization design module by a user, calculating the data input by the user by inheriting the calculation order data in combination with an execution logic rule, and matching a rule of an oil tank business rule table with an assembly information logic rule; and calling the parameterized template library according to the assembly information logic rule of the fuel tank service rule table, matching the parameters in the fuel tank service rule table with the parameters defined by the matched model, and generating a fuel tank three-dimensional model through three-dimensional modeling to realize regular assembly or interactive assembly of the transformer fuel tank. According to the method, standardization, normalization and unification of design input are achieved, and human errors caused in the manual calculation and model creation process are reduced.

The appearance design system (10) of the elevator car is provided with a processing unit (30), and the processing unit (30) inputs design specification information related to the design of the elevator car by a user of a user terminal (50) and the like. And a design specification information selection unit that selects component information from a storage unit that stores component information indicating the design of a plurality of components constituting the lift car of the elevator, changes size-related information in the selected component information on the basis of the design specification information, and designs the lift car of the elevator on the basis of the component information in which the size-related information has been changed.

The invention provides a ship transition skew design system and method, and the system comprises a data acquisition and analysis module which obtains a ship three-dimensional design model, and automatically extracts the geometric information of a plate and the process attribute information of a butt joint boundary from the ship three-dimensional design model; the rule management database is used for storing transition skew discrimination rules and a design rule base; the judging module is used for judging a target docking boundary needing to be provided with a transition slope according to a judging rule; the parameter design module is used for automatically calculating and generating corresponding transition skew geometric parameters for each target docking boundary; and the model updating module is used for modifying the ship three-dimensional design model according to the transitional oblique geometric parameters. The system integrates discrimination rules and design specifications, and reduces the dependence of design on designers, reduces errors caused by human experience and improves the design quality when the transition skew parameters are judged and calculated.

The invention relates to the field of industrial design automation, and particularly discloses an AI automatic design system, which comprises an AI intelligent decision-making and product type selection module used for generating an optimal product type selection and layout strategy based on project requirements; the automatic structure calculation and compliance verification module is used for receiving the strategy, automatically calling external software to carry out calculation and compliance verification, and outputting structure compliance data and a bill of material first draft; the three-dimensional parametric modeling and drawing output module is used for receiving the data to drive three-dimensional software to automatically model and output a drawing and outputting an accurate bill of materials; and the one-stop scheme package generation module is used for integrating all the achievements to automatically generate a complete design scheme package. According to the method, the implicit design experience is encoded into the AI algorithm, automatic deep collaboration of the AI system and the multi-source heterogeneous engineering software is achieved, automation, standardization and global optimization of the whole design process are achieved, and the design efficiency and quality and the knowledge asset protection capacity are remarkably improved.

This invention relates to the field of optical fiber communication technology and discloses a hollow-core optical fiber topology optimization method based on mode analysis and moving asymptote method. This method constructs a hollow-core optical fiber topology optimization design system, which includes a geometric modeling module, a material parameterization module, a mode analysis solution module, an adjoint sensitivity module, an MMA update module, a continuous scheduling module, and a geometric shaping and verification module. By employing a hyperbolic tangent projection function, a grayscale imaginary part penalty term, and a multi-stage continuous strategy, grayscale suppression and binarization are performed to avoid interface blurring caused by grayscale materials and significant performance degradation after shaping. Ultimately, this ensures the consistency between the design results and actual manufacturing performance. Through the collaboration and continuous scheduling of each module, stable convergence of the optimization process and automatic generation of manufacturable structures are achieved. Therefore, this invention method possesses advantages such as a wide design space, strong structural manufacturability, stable optimization process, and improved performance.