213 results about "Design technology" patented technology

This application relates to the field of integrated circuit automated design technology, and particularly to a method, apparatus, and electronic device for optimizing transistor layout in analog circuits. The method includes: acquiring a device group layout diagram of transistors in an analog circuit; encoding the device group layout diagram into a character array; generating an initial parent population based on the character array; determining the genotype of the initial parent population for evolutionary iteration based on the character array; iterating the initial parent population based on its genotype, performing multi-objective evaluation on the current parent population based on offspring individuals during each iteration, until a preset number of iterations is reached; the current parent population includes one of the initial parent population and one of the evolved parent populations; and determining the optimization result of the device group layout diagram based on the last evolved parent population. This solves the problem in related technologies where transistor layout in analog circuits is difficult to balance device electrical matching performance with layout area and wiring complexity.

This invention discloses a PIDNN-SO-based method for optimizing the layout of offshore wind farms, belonging to the field of wind farm optimization design technology. The method first inputs wind farm, turbine, and wind resource parameters, sets constraints on turbine spacing, boundaries, and wake overlap rate, and constructs a high-precision wake flow field physical model based on actuator disk theory, Navier-Stokes equations, and a weighted quadratic wake superposition model. Secondly, it builds a physical information dual neural network (PIDNN) with dual encoders, integrating physical equation loss and data loss to train the model, achieving rapid and accurate prediction of wake wind speed. Then, it uses the snake optimization algorithm (SO) to optimize the environmental evolution factor, completing an efficient search for turbine layout. Finally, it constructs a PIDNN-SO collaborative optimization framework, trains a PIDNN surrogate model through initial sampling, and outputs the optimal layout that maximizes annual power generation. This invention can effectively reduce wake loss and significantly improve the power generation efficiency of offshore wind farms.

This application relates to the field of computer-aided design technology, specifically to a method and apparatus for extracting CAD coordinate table data. The method includes: determining a set of header text and a set of non-header text in CAD surveying data, wherein the CAD surveying data includes a boundary point coordinate table; determining the header tilt angle and header column boundaries based on the header text set; eliminating abnormal text from the non-header text set based on the header tilt angle to determine a candidate text set; determining the row and column numbers corresponding to each candidate text in the candidate text set; and generating target structured data based on the candidate text set and the row and column numbers corresponding to each candidate text. The CAD coordinate table data extraction method provided in this application significantly improves the data conversion efficiency from CAD to target structured data and remains stable and reliable even when processing complex drawings containing noise and tilt.

This application discloses a vehicle body topology iteration method, apparatus, electronic device, and storage medium, relating to the field of vehicle design technology. The method includes: within a designable space, fabricating an inner wall shell and an outer wall shell based on the original surface of the vehicle body and the spatial boundary, respectively, and creating a partition between them to form a topological space filled with a plate-shell structure; then performing topology optimization analysis on the plate-shell topological space to obtain the topological result of material distribution; finally, iteratively evaluating and adjusting the topological result according to preset evaluation dimensions until a qualified topological result is obtained. This application can solve the problems in related technologies such as large differences between solid topology and thin-walled beam structures of the vehicle body, poor engineering conversion ability, and the lack of a systematic iteration mechanism leading to unreasonable material distribution and unclear engineering paths in the topology results. It can improve the matching degree between the topology results and the vehicle body engineering structure, enhance engineering practicality, and achieve a positive systematic optimal solution design for vehicle body performance.

This invention discloses a method for joint evaluation and optimization of buckling and bending of arbitrary quadrilateral laminates based on physical information neural networks, relating to the field of composite material structure design technology. The method, for arbitrary quadrilateral laminates, first constructs a method based on classical laminate theory... USA The stiffness matrix explicitly reflects the influence of ply parameters, and a physical domain is transformed to a reference domain through a bitriangular affine mapping to establish a physical information neural network mechanical model. The model is trained with the goal of minimizing the total potential energy or Rayleigh quotient, solving for the buckling factor and layer-by-layer strain limits, and adapting to four typical boundary conditions through a boundary embedding function. Subsequently, using ply angle and thickness as variables, optimization is performed using a genetic algorithm, with the goal of minimizing mass, and the buckling factor and strain limits as constraints. The final output is the optimal ply scheme that satisfies specific boundary conditions. This invention can optimize ply angle and thickness while satisfying buckling stability and strain strength constraints.

This invention relates to the field of permanent magnet synchronous motor (PMSM) design technology, and discloses a method and device for integrated collaborative optimization design of the rotor magnetic circuit of a PMSM. The method includes: collecting time-series data of multi-source vibration and electromagnetic load under heavy-load conditions of forklift operation, and constructing a dynamic excitation phase space mesh for the rotor interface; performing multi-field coupled response simulation based on the mesh to drive a parameterized rotor model, generating a structural eddy current coupled simplex complex; constructing a combined constraint and sub-mode gain model for robust magnetic circuit optimization based on the complex, generating a geometrically reinforced candidate solution set; performing multi-objective collaborative convergence and three-dimensional model generation under the constraints of the candidate solution set, and outputting an anti-disturbance optimized rotor structure. This invention solves the problem that existing technologies cannot cope with dynamic multi-field positive feedback under complex forklift operating conditions, leading to decreased efficiency and low reliability of the motor during continuous operation, thus enabling the motor to adapt to forklift operation requirements.

The present application belongs to the technical field of photonic device design, and specifically relates to a micro-ring resonator reverse design optimization method based on deep learning. The present application comprises: obtaining different micro-ring resonator structure parameters and corresponding free spectral range and quality factor, and processing and dividing the data set; building a cascade neural network model, wherein the reverse network takes the target performance index as the input to predict the structure parameter, the forward network inputs the structure parameter and outputs the performance index, and is used to constrain and correct the reverse prediction result; after training, the test set is evaluated to measure the reverse effect by the average absolute percentage error index, the weight in the loss function is changed, and multiple rounds of training are performed to determine the optimal weight configuration and final model of the reverse design. The present application has the advantages of high calculation efficiency, excellent design precision and strong physical realizability, can reduce the dependence on large-scale simulation and multiple iteration optimization, effectively shorten the device design cycle, and has high application value.

This application discloses a signal distortion processing method, apparatus, device, and medium, relating to the field of server design technology. Applied to complex programmable logic devices (CPLs), the method includes: debouncing and filtering a real-time acquired external signal to filter out instantaneous stray interference signals with a duration less than a filtering time threshold; performing multiple judgment processing on the debounced signal to be judged to generate multiple judgment results, including: constructing a purely digital delay circuit within the CPL for delayed judgment; repeatedly superimposing the signal to be judged onto the conditional statements of a state machine with a preset number of samplings to force the state machine to identify level signals and perform level signal superposition judgment; performing edge recognition judgment on the signal based on the global clock or frequency-divided sub-clock of the CPL; and performing combinational logic operations on the multiple judgment results to output a target valid signal. The technical solution of this application can improve the overall reliability of the server.

This disclosure provides a method, apparatus, device, medium, and product for access verification in on-chip networks (NoCs), relating to integrated circuit design and verification and System-on-Chip (SoC) design technologies, particularly in the areas of NoC security verification, access control, and access control isolation verification. The specific implementation scheme is as follows: a routing access permission file is parsed to obtain access permission paths and self-test instances; the self-test instances are executed to obtain self-test results; the self-test results and the routing access permission file are compared and verified to obtain a verification result; if the verification result fails, the access permission paths in the routing access permission file are modified until the verification result passes; routing tests are performed in a UVM environment based on the modified access permission paths to obtain the access verification result. This technical solution can shorten the access verification cycle of on-chip networks.

This invention discloses a compact UAV flight control board core component layout and efficient connection method, belonging to the field of UAV flight control design technology. The layout scheme centers on the main control module, achieving a radial and compact arrangement of various functional modules on a flight control board body with an area not exceeding 50cm²: sensor modules surround the main control module with a spacing not exceeding 5mm, power management and communication modules are diagonally distributed at the edges, and interface expansion modules are dispersed in the remaining edge areas. Independent digital and analog ground copper foils are provided, using single-point grounding. The connection method utilizes surface mount technology for direct soldering of core chips. The power link employs a tree topology and array filtering, while the signal link optimizes impedance matching and wiring. Connection detection and thermal adhesive reinforcement ensure reliability. This invention significantly reduces the size and weight of the flight control board, effectively reduces signal interference and transmission loss, improves connection stability and flight control accuracy, and is suitable for the needs of miniaturized UAVs.

This invention relates to the field of architectural design technology, specifically to a microclimate prediction method, apparatus, device, and medium based on machine learning. The invention first sets design values ​​for the architectural design variables of a single building, and then applies a machine learning model to these design values ​​to predict the microclimate changes that the single building, designed based on these values, will bring to the surrounding environment. Because this invention is based on the design values ​​of a single building, it can predict the impact of a single building on the microclimate of its surrounding environment. Furthermore, using a machine learning model to predict microclimate does not require spending a significant amount of time building a building model; it can directly predict microclimate, thereby improving prediction efficiency.

This invention discloses a heat sink structure optimization design method based on a non-dominated sorting genetic algorithm, belonging to the field of heat sink optimization design technology. The method first determines the structural parameters to be optimized (heat sink length, width, height, fin thickness, fin spacing, substrate thickness) and the optimization objective function (maximum junction temperature of power devices, heat sink mass, heat sink entropy productivity). Then, Latin hypercube sampling is used to sample parameters and establish a geometric model. Sample data is constructed through thermal simulation, and a surrogate model is established using response surface methodology. Finally, multi-objective optimization is performed based on the non-dominated sorting genetic algorithm to obtain the Pareto optimal solution set, and the best solution is selected through comprehensive performance evaluation indicators. This invention effectively reduces heat sink mass and cost while ensuring heat dissipation performance, shortens the R&D cycle, and is applicable to the heat dissipation optimization design of power devices in power electronic systems.

This invention discloses a fixture generation method and system based on parametric templates and intelligent reasoning, relating to the field of fixture design technology. The method includes: acquiring a digital model of the workpiece and machining process documents; extracting workpiece geometric features, datum, process, and toolpath information; constructing a typified constraint graph, using nodes and edges to represent various tooling constraint relationships, and encoding the cutting load spectrum as dynamic constraint conditions for the constraint edges; retrieving fixture template skeletons from a parametric template library; solving the constraints on the template skeletons, calling a reduced-order physical simulation model in real time to complete mechanical evaluation, and relying on feedback signals to guide the search direction; after the solution converges, instantiating the template skeleton based on feasible solutions, and outputting the fixture model and solution certificate. This invention improves solution efficiency and solution reliability through simulation-embedded closed-loop optimization, relies on parametric templates to ensure design reusability, and the dual-element output enables full-process traceability of the design, meeting the high precision and compliance requirements of high-end manufacturing tooling design.

The invention relates to a chip layout design method, which belongs to the technical field of semiconductor laser design, solves the technical problems of low efficiency and high possibility of errors in chip design, and comprises the steps of self-adaptive adjustment of design parameters, modular layout design, combination of automation and manual intervention and wiring strategy optimization. The method comprises the steps of multi-objective balance of power consumption, performance and area optimization, real-time integration of design rule check DRC and circuit consistency check LVS, design optimization aiming at an advanced process, and functional module expansion. The design method is used for chip layout design, especially layout design of advanced process nodes.

This invention relates to the field of radiator structure design technology, and provides a microchannel radiator design method based on embedded irregular materials and the obtained microchannel radiator, including: constructing a general mathematical description of the topology optimization problem; obtaining input conditions and dividing the topology optimization design domain; establishing the control equations of the topology optimization model, constructing a dual objective function, and performing sensitivity analysis of the multi-objective function with respect to design variables; solving the topology optimization model, and using filtering methods and projection techniques to obtain material distribution with clear fluid-structure boundaries; obtaining the two-dimensional flow channel configuration of the radiator, performing finite element analysis to obtain the temperature field and velocity field distribution, comprehensively evaluating the heat transfer performance, and determining the two-dimensional flow channel configuration; based on the two-dimensional flow channel configuration, constructing the corresponding three-dimensional model and performing finite element analysis to obtain the temperature field and velocity field distribution, evaluating the heat transfer performance using the PEC criterion, verifying the effectiveness of the method in three dimensions, and obtaining the final topology-optimized radiator configuration.

This invention discloses a digital design method for construction projects based on BIM and data collaboration, belonging to the field of digital design technology for construction projects. The method includes acquiring an initial design model set of the target construction project and a cross-disciplinary design parameter set containing constraints from multiple disciplines such as structure, MEP, and architecture. The initial design model set is then meshed in three dimensions to generate a structured design space containing geometric voxels and attribute metadata. Within this space, a parameter semantic association network is constructed, forming a parameter association network model representing parameter dependencies and conflicts. Based on this model, multi-disciplinary constraint consistency evolution calculations are performed to generate a collaborative design optimization space that satisfies all constraints. A computer-aided design optimization engine is used for global optimization to obtain the final collaborative design scheme, which is then fed back to the BIM design platform. This invention integrates geometric and attribute data, clarifies cross-disciplinary parameter relationships, and realizes multi-disciplinary digital collaborative design optimization of construction projects.

The application belongs to the technical field of transformer three-dimensional design, and discloses a transformer three-dimensional parameterized design method based on Autodesk Inventor, which is realized based on an iLogic programming platform embedded in Autodesk Inventor, and the design steps are as follows: step one, establishing a standard component template; step two, parameterized design; step three, three-dimensional model generation; step four, two-dimensional drawing generation; and step five, version management and updating. The sub-modules are set as the standard component template, and the parameterized mode is used, so that the designer only needs to input design data in the input interface of the parameterized standard component template during design, then calls the program to calculate, and the transformer three-dimensional model and two-dimensional drawing can be obtained, thereby greatly reducing the workload and shortening the design cycle, and more importantly, the algorithm of the parameterized standard component template eliminates the quality problems caused by human factors and controls the design quality at a high level.

This invention discloses a method for designing indoor gas pipeline routes, belonging to the field of pipeline design technology. The method includes acquiring a 3D model of the target building, dividing the wall surface into a mesh, and planning the pipeline route using an algorithm. Based on the acquired 3D model of the target building, the pipeline layout area is determined on the walls of the 3D model, and the pipeline route on the walls is automatically planned using a pipeline route algorithm. This achieves automated design of gas pipelines, improving design efficiency while ensuring design accuracy and reducing design costs.

This invention relates to the field of computer-aided design technology, and more particularly to a method and system for constructing wind dams for concentrated wind energy capture. The method includes the following steps: acquiring multi-source wind field data; processing the multi-source wind field data to obtain wind field structure data; generating a guiding structure from the wind field structure data to obtain wind dam geometric structure data; performing fluid-structure interaction (FSI) simulation based on the wind field structure data and the wind dam geometric structure data to obtain FSI data; and performing multi-constraint dynamic optimization on the FSI data to obtain construction control strategy data. This invention achieves proactive guidance and efficient matching of the wind dam structure to airflow convergence behavior, improving the efficiency of concentrated wind energy capture and the reliability of structural design. By using a surrogate model and multi-constraint dynamic optimization, the highly complex simulation process is transformed into a rapidly reasoning-based decision-making process, effectively reducing computational costs.

This invention provides an artificial intelligence-based method and system for photonic integrated chip layout design, belonging to the field of photonic integrated chip design technology. First, it extracts requirement elements from multiple dimensions to generate a multi-domain requirement element set. Based on this set and real-time process parameters, a dynamic constraint generation mechanism is constructed to generate a dynamic constraint set. A hierarchical collaborative optimization artificial intelligence model is invoked to perform hierarchical collaborative optimization of the initial layout scheme in conjunction with the constraint set, generating an intermediate layout scheme. This intermediate scheme is then verified through cross-domain coupling control to obtain the verification results. Based on the verification results, iterative feedback is provided. If the requirements are met, the final layout design scheme is output; otherwise, it is re-optimized until the requirements are met. This invention can comprehensively consider multi-domain requirements, adapt to process changes, and improve the accuracy, reliability, and performance indicators of layout design.

This invention discloses a design method and system for high-frequency transformers, belonging to the field of high-frequency transformer optimization design technology. The method includes: acquiring design parameter data of the high-frequency transformer to be optimized, a dataset of historical transformer design parameters, and a dataset of historical transformer actual performance indicators; acquiring a convolutional neural multilayer perceptron deep learning model based on the above data to obtain an initial particle population and predicted particle fitness; if there is a particle fitness greater than a preset historical particle fitness, updating the initial particle population, obtaining a first particle population, and then acquiring the optimization design parameter data of the high-frequency transformer to be optimized; acquiring the simulation experimental deviation value of the simulation data and experimental data based on it, and if it is less than or equal to a preset threshold, completing the design of the high-frequency transformer. The high-frequency transformer design method provided by this invention can achieve high-precision and high-efficiency optimization of high-frequency transformer design parameters.

This invention discloses a method for determining the loosening load of the bearing arch in mega-span tunnels based on plastic zone parameters, relating to the field of geotechnical engineering and underground engineering support design technology. The method includes the following steps: inputting tunnel and support parameters; obtaining the height of the plastic zone at the arch crown through numerical simulation; calculating the equivalent thickness of the bearing arch formed by the system anchors; determining the equivalent loosening load height; calculating the vertical loosening pressure; determining the lateral pressure coefficient based on the surrounding rock strength index; calculating the non-uniformly distributed horizontal loosening pressure; and cyclically outputting the verified load through load displacement verification. This invention directly incorporates the plastic zone development state into the load calculation and establishes a self-correction mechanism, achieving refined and dynamic determination of the loosening load, thus improving the safety and economy of mega-span tunnel support design.

This invention discloses a modular customization method for an intelligent agent in mine water, heating, and electrical engineering design, relating to the field of computer-aided design technology. The method includes: collecting basic mine engineering data; performing professional merging, service object association, and regional mapping on the basic data to form engineering benchmark data; having the main control agent jointly search a knowledge base, a specification base, and a historical drawing database; and organizing the joint search results to form a set of candidate scheme fragments. The main control agent then performs compatibility checks, priority screening, and sequential arrangement of equipment access relationships, pipeline connectivity relationships, and supply and distribution relationships within the candidate scheme fragment set based on process service paths, spatial layout boundaries, and professional interface sequences, forming a configuration sequence and parameter constraint table. This invention, by forming a configuration sequence and parameter constraint table, achieves the orderly organization of the front-end schemes in mine water, heating, and electrical drawings and computer-aided design constraints, thereby improving the coherence and accuracy of subsequent drawing generation.

This invention belongs to the field of electromagnetic device design technology, and relates to a method and apparatus for inverse design of electromagnetic devices based on bijective differentiable projection and neural networks. The method includes: determining the structural variables to be designed in the electromagnetic device and their inequality constraints; constructing a convex feasible region space composed of the inequality constraints; establishing a bijective mapping function from a hypercube domain to the convex feasible region space; establishing a neural network for generating the structural variables of the electromagnetic device; concatenating the bijective mapping function in the output layer of the neural network to form a neural network with a bijective differentiable projection layer and training it; inputting the target electromagnetic parameters into the trained neural network with the bijective differentiable projection layer to generate structural variables that satisfy the inequality constraints, thereby realizing the inverse design of the electromagnetic device. This invention accurately projects the output of the neural network into a preset convex feasible region, achieving rapid inverse design of electromagnetic devices that satisfy complex constraints.

The invention relates to the technical field of building curtain wall design, in particular to a parameterized finite element simulation calculation method of a point-supported glass curtain wall for improving design efficiency and a storage medium, and the method comprises the following steps: defining an input parameter set, and setting the input parameter set as a global variable; obtaining a segmentation geometric model; unit and material characteristics are given to the segmentation geometric model; performing grid division on the segmented geometric model to generate a finite element grid, so that corresponding finite element nodes exist at the positions of the geometric key points; finite element nodes are recognized, displacement constraint is applied, and meanwhile evenly-distributed pressure loads are applied; mechanical response data are obtained, and when any variable is changed, modeling calculation is repeated based on the changed parameters; and extracting stress distribution, deformation and support counterforce data from a finite element solution calculation result. According to the invention, parameterized automatic simulation is realized, and stress concentration is accurately captured; the utilization of computing resources is optimized while the large deformation behavior of the brittle glass material is accurately simulated, and the design efficiency and the structural safety are improved.

This invention discloses an automatic routing optimization method and apparatus for chips, relating to the field of integrated circuit layout design technology. In this method, the chip is divided into multiple differential grids; the connectivity of the edges and / or diagonals of each differential grid is determined to generate connectivity relationships; candidate paths from the routing start point to the routing end point are determined based on the connectable edges and / or diagonals; differential grids associated with the candidate paths are retained while unrelated differential grids are deleted; the grid size is reduced within the retained area and the filtering is repeated until a preset threshold is met, at which point a pathfinding algorithm is executed to obtain the routing path. This method can reduce the automatic routing search area and improve the routing efficiency of large-scale complex chips.

This invention discloses a deep learning-based product structure parameterized design optimization method and system, relating to the field of computer-aided design technology. The key technical solutions include the following steps: collecting multi-source heterogeneous data on product structure design, including parameter design documents, simulation data, process execution records, and failure case reports; generating a parameter full-process influence correlation map based on the multi-source heterogeneous data; performing feature judgment on the parameter full-process influence correlation map to obtain a set of key constraint parameters; and generating an optimization target system based on the priority ranking and interactive constraint relationships of the key constraint parameter set. This optimization target system includes structural parameter targets in the design phase, structural manufacturing targets in the process phase, and structural stability targets in the usage phase. The effect is to avoid the problems of insufficient production adaptability and poor usage stability caused by focusing only on a single stage target, improving the parameter coordination throughout the product lifecycle, and shortening the product development iteration cycle.

This invention proposes a simulation method for fluid injection and structural optimization in pressure storage vessels based on Fluent, belonging to the field of fluid simulation and pressure storage vessel design technology. By constructing a system simulation behavior model and applying the ant colony algorithm for path planning, it can accurately simulate the dynamic characteristics during the injection process. Furthermore, it uses code generation technology to automatically generate simulation configuration file code to support the execution of simulation simulations. This method aims to help engineers quickly generate optimal path solutions based on system requirements and constraints, improve the efficiency of simulation configuration file construction, and ensure data consistency and seamless integration between design and simulation.

This invention belongs to the field of power engineering design technology, specifically relating to a method and system for generating and optimizing transmission line schemes based on multi-agent collaboration. The method includes: constructing a collaborative system composed of a specification understanding agent, a spatial exploration agent, and a structure generation agent. The specification understanding agent parses specifications and geographic data, outputs semantically tagged enhanced geospatial data, and generates a dynamic compliance energy field. The spatial exploration agent, guided in real-time by this energy field, explores paths, and its fitness function integrates performance indicators and compliance energy path integrals. The structure generation agent generates tower structure schemes based on paths, loads, and specification constraints. After simulation verification, performance data is fed back to the agents to drive closed-loop optimization. This invention achieves deep real-time collaboration between compliance judgment and optimization search, improving design efficiency and scheme quality.