102results about "CAD network environment" patented technology

Automated circuit design is provided. The method comprises mapping a number of inputs to a number of desired outputs and receiving a number of specified constraints. A number of component specifications are determined for circuit components necessary to achieve the desired outputs from the inputs within the specified constraints. A number of circuit components are chosen based on the component specifications to optimize achievement of the desired outputs from the inputs within the specified constraints, the chosen circuit components are arranged in a number of circuits based the component specifications to optimize achievement of the desired outputs.

The application discloses a kind of four-dimensional evaluation and repair method of river connectivity based on dynamic ecological resistance network, it is related to river ecology, aquatic organism protection and ecological water conservancy technical field, will structure dimension (obstacle physical characteristics), efficiency dimension (fishway etc. Facility efficiency), time dimension (seasonal hydrology and phenology change) and space dimension (distance attenuation and slope resistance) system integration in unified framework, realized the dynamic evaluation of multidimensional fusion. Through repair scenario simulation, the promotion effect of overall connectivity index by different repair measures (such as removal, reconstruction, new building) is quantified, and the priority list of repair measures can be generated by comprehensive cost-benefit analysis, to realize the closed loop from evaluation to optimization decision.

A method for developing a design of an electronic circuit in Electronic Design Automation (EDA) environments is disclosed. The method comprises receiving data regarding an event related to a specific

The application discloses an OTR tire pattern heat dissipation hole parameter design and heat dissipation strengthening method, and belongs to the tire structure design field.The method firstly establishes a tire parameterized model containing a heat dissipation hole, determines the length, width, depth and inclination angle of the heat dissipation hole as key design variables; subsequently, sample points are generated in the design space by using Latin hypercube sampling, and the average convective heat transfer coefficient corresponding to each sample is calculated through numerical simulation; then, a radial basis function proxy model with the design variables as input and the heat transfer coefficient as response is constructed, and the accuracy thereof is verified; thereafter, the design variables are globally optimized by using an adaptive simulated annealing algorithm with the maximization of the average convective heat transfer coefficient as the target, and the optimal structure parameters are obtained; finally, the optimization scheme is modeled and numerically verified.The application significantly improves the heat dissipation efficiency of the OTR tire through multi-parameter collaborative optimization, has the advantages of short design cycle, strong optimization ability and good versatility, and is helpful to prolong the tire life.

The application discloses a CAD drawing collaborative design and version control method, and relates to the technical field of computer aided design, which comprises the following steps: collecting CAD drawing data, sending an upload CAD drawing request to a server, uploading the CAD drawing to the server, and generating CAD drawing version data; according to the CAD drawing version data, initiating a download CAD drawing request to the server, verifying according to identity information and authority, and generating verified download drawings when the verification is passed; according to the merged CAD drawing, recording the incremental change part of the CAD drawing, intelligently compressing and storing the drawing version, and generating an incremental version file; and analyzing the differences between each version based on the incremental version file, and generating a version change report. The application improves the design efficiency and drawing consistency, ensures the compatibility and accuracy between versions, and further improves the design quality and team cooperation efficiency.

The application provides a high-performance water-based acrylic emulsion formula screening method, comprising the following steps: constructing a multi-source heterogeneous iterable database and differentiating storage; extracting key features from the database and performing cross-scale feature conversion and screening to obtain important key features; taking the important key features as input and the target performance as output, establishing a machine learning model and optimizing; using the optimized model to perform high-throughput virtual screening on virtual formula and process combinations, screening out candidate formulas with synergistic optimization of flame retardancy, hardness and adhesion, preparing water-based acrylic emulsion samples, obtaining the flame retardancy, hardness and adhesion data of the samples, completing verification and analysis; according to the verification data, further updating the database and model based on an active learning strategy, and performing explainability analysis of the machine learning model to guide subsequent experiments; repeating the above steps until the target high-performance water-based acrylic emulsion formula is obtained.

This invention provides a method and system for real-time decision simulation of vehicle-pile-road network based on feasible set derivation. The method uses a pre-constructed multi-model fusion architecture to perform parallel load data prediction based on the spatiotemporal feature set of the acquired vehicle-pile-road network system. Based on the load data prediction results, a fused load prediction result containing confidence intervals is output through a dynamic weighted fusion strategy. Then, based on the fused load prediction results, a feasible decision set for each electric vehicle is constructed by comprehensively considering multi-dimensional factors. Based on this feasible decision set, under the premise of satisfying the distribution network safety constraints, a production simulation strategy containing the openable capacity of transformer substations and vehicle access instructions is obtained using a pre-constructed openable capacity assessment model. This solves the problems of large load fluctuations, complex time-series characteristics, inaccurate transformer substation capacity assessment, and difficulty in effectively fusing multi-model prediction results caused by large-scale electric vehicle access to the distribution network.

In various examples, override-based data change propagation for distributed collaborative content creation platforms is provided. An override layer may be generated that comprises a representation of a sequence of override primitives that may be applied against a baseline universal scene description (USD) scene definition layer to render an updated / current version of the scene. A digital content creation application may record edits as modifications (overrides) to scene definition primitives are applied. A CCA may propagate the edits to other CCAs at other client nodes subscribed to the CCCP by sending a new layer message to the server of the CCCP, instructing the server to add the override layer to the scene graph of a root USD file. Other CCAs subscribed to the root USD file receive a message from the server that indicates that the new override layer has been added, and may selectively apply propagated override primitives.

A method for manufacturing a connector is described, including providing manufacturing data for an insulating body (2) and generating an insulating body having a contact cavity (23) from a material of the insulating body based on the manufacturing data of the insulating body.

This invention discloses a method and system for analyzing train operation status, including: A1. Multimodal data collaborative sampling based on immune sensing cell units; A2. Construction and updating of dynamic causal graphs for closed-loop systems; A3. Generation and optimization of diagnostic models based on federated optimization; and A4. Early warning of minor faults based on digital twin stress fields. Train status analysis transforms from a discrete, passive, and retrospective auxiliary maintenance tool into a continuous, proactive, and a priori autonomous health management system. It can not only detect faults earlier and more accurately, but also interpret faults, predict their development, and intelligently optimize its own monitoring strategies.

A system may include: an input unit providing a data structure storing a computer simulation model package; a first processing unit to store: a binary file or source code comprising a computer simulation model of the technical system; and a text file assigned to the model; a computing unit to derive a first checksum of the binary file or the source code; a second processing unit to store the first checksum in the text file; a generator to generate an instantiation function for verifying the model, run each time the model is instantiated and including: deriving a second checksum from the binary file or source code stored in the package; comparing the second checksum with the first; and generating a comparison result; a third processing unit to store the instantiation function in the data structure as part of the package; and an output to provide the package.

This invention discloses a machine learning-based method and system for predicting groundwater level changes, relating to the field of hydrogeology. The method includes: standardizing multi-source time-series data to obtain a standardized multivariate time-series data matrix; constructing a supervised learning sample set; inputting the groundwater level sequence from the supervised learning sample set into a physically-guided variational mode decomposition network; decomposing the groundwater level sequence into K intrinsic mode component sequences and a residual term sequence using a loss function with physical-driven consistency constraints; for each of the K intrinsic mode component sequences, dynamically assembling a differentiable simulator from a library of differentiable simplified physical simulators, and co-training these simulators with the goal of approximating each intrinsic mode component sequence and reconstructing the original water level sequence as a whole, resulting in K fully trained assembled differentiable simulators. This invention generates reliable, visualized prediction results through multi-simulator collaborative extrapolation and uncertainty quantification.

The application discloses a parameterized graph automatic correction system based on constraint satisfaction analysis and belongs to the technical field of parameterized graph processing. The system comprises the following modules: an input and semantic analysis module, a parameter and object model module, a constraint modeling and constraint library module, a constraint satisfaction analysis module, a conflict positioning and responsibility attribution module, an automatic correction strategy module, a solving and optimization module, a verification and rollback module, an interaction and visual feedback module, and a log and learning module. The system can automatically correct constraint violations without manual adjustment of the user, solve the problem of low efficiency caused by traditional manual operation, adapt to complex scenes, and improve accuracy. The system supports multiple types of constraints such as collinearity, perpendicularity and equal length, can realize high-precision correction of complex geometric figures through quantitative satisfaction analysis and accurate conflict positioning, and avoids the limitation of rough correction of single constraints.

The present application relates to a heterogeneous photoelectric equipment positioning tracking network design method, in particular to a heterogeneous multi-agent positioning tracking network design method based on a niche grey wolf algorithm, which solves the technical problem that the existing multi-agent positioning tracking network station layout optimization method cannot be directly applied to the heterogeneous multi-agent positioning tracking network. The present application proposes a niche grey wolf algorithm, which adds a niche algorithm to the grey wolf algorithm, can maintain the diversity of the population, and significantly improves the global exploration ability of the grey wolf algorithm in the complex solution space; at the same time, the heterogeneous multi-agent positioning tracking network is modeled, and a theoretical framework of model-algorithm-scheme is constructed, the theoretical accuracy model and the optimization algorithm are combined, and the solution from the accuracy index to the deployment scheme is realized; in addition, the positioning accuracy model established based on the observation characteristics of different types of equipment quantifies the measurement performance of the heterogeneous multi-agent positioning tracking network.

The application discloses a kind of plateau salinization frozen soil area roadbed rapid construction and quality control method, it is related to plateau frozen soil roadbed construction monitoring field, the method is by in construction and filling initial stage, real-time acquisition soil temperature gradient, salt concentration and moisture content, calculates salt-temperature-water coupling paving thickness adjustment index, controls paving thickness;Through light intensity, surface temperature and heat flux monitoring, calculate thermal disturbance index, adjust albedo film coverage and acquisition frequency;Through shallow salt micro-period collection, calculate salt disturbance index, implement static extension or reduce paving thickness strategy;Through compaction degree, material temperature, vibration intensity and travel speed monitoring, calculate vibration disturbance index and compaction false standard correction coefficient, carry out vibration frequency, travel speed and supplementary pressure control.The application realizes the whole process of construction multi-factor real-time monitoring, intelligent evaluation and closed-loop control, improves roadbed filling quality and stability, reduces construction risk.

The present application relates to the field of new generation information technology, especially to a die cutting processing method for the flexible protective film of PC substrate of 5G signal, the method selects the raw material film as polyimide through step S1, the method also carries out composite marking through step S2, the method also carries out microwave-laser synergistic irradiation through step S3, the method also calculates the target cutting path instantaneously through step S4, the method also collects the target cutting data through step S5, the method also adapts to the micro non-uniformity of material and the change of tool state through step S6, the method also outputs the dielectric performance value through step S7, the method also judges the state of the profile arithmetic average deviation through step S8, and the method also creates a digital identity file for each target flexible protective film through step S9.

This invention proposes a method and apparatus for designing an equivalent model of ocean wave backgrounds. The method acquires simulated ocean wave echo data of different wave levels and performs data analysis and fitting to generate multiple sets of simulated ocean wave echo data for different scenarios. Each set of simulated ocean wave echo data is distributed, and a signal amplitude simulation device is used to simulate the reflection characteristics. Simultaneously, a detection device is controlled to collect multiple sets of ocean wave echo amplitude data. Then, through statistical analysis of the collected echo data, it is compared and evaluated with the corresponding simulation data to obtain the true wave height, corresponding wave level, echo amplitude, and statistical accuracy of the data matching between the simulation data and the echo data. This yields a realistic assessment and simulation of the target ocean wave level. The established echo model can realistically reflect the characteristics of actual ocean wave echoes, eliminating the shortcomings of previous models that could not be verified in real-world scenarios within simulation environments. This achieves an effective closed loop of real-time generation and real-time evaluation feedback.

The application discloses a device identification method and device, apparatus and storage medium, and belongs to the technical field of computers. The method comprises: obtaining device feature information of a to-be-identified device; performing feature embedding processing on the device feature information to generate overall feature information of the to-be-identified device; determining cross feature information of the to-be-identified device based on the overall feature information; and determining that the to-be-identified device is an Internet service device in the case that the overall feature information and the cross feature information meet a target condition. In the technical scheme of the application, high-dimensional discrete device features are embedded into low-dimensional dense overall features, the device features are more efficiently represented and the amount of calculation is reduced under the premise of ensuring the completeness of the feature information, then the cross features between the features in the overall features are determined, the feature information is fully mined, and then the type of the to-be-identified device is determined according to the overall features and the cross features, so that the efficiency of identifying the Internet service device is improved, and the identification accuracy is also improved.

The application relates to the technical field of intelligent sensors, in particular to a high-temperature alloy defect intelligent detection system based on deep learning, which comprises the following steps: obtaining a CAD model of a blade to be detected, a linear attenuation coefficient and crystallization temperature field data, constructing a three-dimensional equivalent thickness matrix and a stress distribution probability field, utilizing a multi-agent reinforcement learning model to adaptively decide X-ray energy, detection gain and infrared excitation frequency, realizing deep adaptation of detection parameters and non-uniform attenuation characteristics of components, constructing a physical reference gray field based on the Beer-Lambert law, stripping a complex geometric structure background and extracting a defect sensitive area through residual operation, synchronously fusing an infrared temperature rise abnormal signal, and physically removing grain structure noise of a single crystal structure in combination with a pixel shift law under microbeam deflection, so that accurate and quantitative output of a defect type, three-dimensional coordinates and size is finally realized. Through multimodal fusion and adaptive decision, the application realizes accurate determination and quantification of defects of complex components.

The application relates to the electronic technical field and discloses a hand shape recovery method, an electronic device and a storage medium. The method comprises the following steps: acquiring continuous multiple frames of magnetic field observation data collected by a magnetic sensing unit arranged on a hand, and constructing a time sequence input segment in a time sequence based on the continuous multiple frames of magnetic field observation data; inputting the time sequence input segment into a neural network model to acquire a hand shape recovery result output by the neural network model, wherein the neural network model comprises a time sequence modeling module, a cross-finger collaborative modeling module and a posture decoding module, the time sequence modeling module is used for time sequence encoding processing based on the time sequence input segment, the cross-finger collaborative modeling module is used for cross-finger attention interaction processing based on time sequence feature data, and the posture decoding module is used for regression mapping processing based on collaborative feature data. Through the embodiment of the application, the precision and robustness of hand shape recovery can be improved.

The application discloses a kind of urban renewal project's street ventilation design management and control and multi-objective decision system, the present application relates to wisdom city planning and building environment digitization design technical field, including: data acquisition and twin construction module, for obtaining and fusing multiple-source city data, constructs and includes the digital twin of street three-dimensional form parameter and wind environment probability model;Ventilation efficiency measure and threshold management module.The urban renewal project's street ventilation design management and control and multi-objective decision system, support man-machine cooperation's parameterized scheme generation and multiple rounds, multi-objective optimization, it is changed into a kind of closed-loop intelligent decision-making mode based on quantitative analysis, automatic feedback iteration, from the planning mode of traditional experience judgment, each link disconnection, to effectively co-ordinate ventilation, sunshine, development intensity and so on multiple targets in scheme design initial stage, improve the scientificity and comprehensiveness of scheme, reduce environmental risk in later implementation.

The application discloses a method for intelligently modeling rock mechanics properties of a tight sandstone reservoir, comprising the following steps: obtaining three-dimensional seismic interpretation data, well logging data and rock mechanics experiment data; establishing a three-dimensional geological structure model of the tight sandstone reservoir which fuses a fault structure; calculating a quantitative fitting relationship between static rock mechanics parameters and a sand ratio; extracting a lithology factor data body from the three-dimensional seismic interpretation data, discriminating the lithology factor data body, generating a three-dimensional spatial distribution of sandstone and mudstone, and thus obtaining a three-dimensional sand ratio distribution model; and based on the three-dimensional sand ratio distribution model and the quantitative fitting relationship, calculating initial values of rock mechanics parameters of each grid unit, and assigning values to the three-dimensional geological structure model and correcting the fault, so as to obtain a final three-dimensional rock mechanics property model. The application realizes multi-source data fusion and quantitative modeling of fault disturbance, and solves the problems of insufficient description of reservoir heterogeneity, lack of physical basis of the model and low reliability of modeling of a fracture zone in the prior art.

The present application belongs to the field of artificial intelligence and rail transit intelligent operation and maintenance technology, and specifically relates to a subway intelligent maintenance system for collaborative optimization of braking energy consumption, aiming to solve the problems of low braking energy recovery efficiency, equipment perception lag and passive maintenance strategy. The system realizes the determination of regenerative braking energy absorbability and the quantitative evaluation of component health state by constructing a whole-network train dynamic topology and energy-health coupling analysis engine. Combined with a four-quadrant decision matrix, the system generates a hierarchical maintenance instruction and uses a rolling time domain optimization algorithm to coordinate train group operation time to improve energy matching degree. The system integrates a self-adaptive learning hub to continuously calibrate model parameters. The system realizes the collaborative optimization of braking energy efficiency improvement and key component life extension, and reduces the measured resistance energy consumption by more than 28% and the sudden failure rate by 41%.

The application relates to a power dispatching data network fault positioning method and system based on a sparse self-encoder, which comprises the following steps: constructing a hierarchical mesh topology model of a power dispatching data network; simulating a single-device fault scene based on the hierarchical mesh topology model to generate a fault training data set; training an SAE fault positioning model with sparse constraints by using the fault training data set; collecting real-time device state data and real-time link state data of the power dispatching data network to be measured, and preprocessing the real-time device state data and the real-time link state data to obtain a real-time fault data set; inputting the real-time fault data set into the trained SAE fault positioning model to obtain a fault device identifier and a confidence degree, and obtaining the position of a fault point in the power dispatching data network. Compared with the prior art, the application solves the technical problems of poor adaptability and high false alarm rate of a traditional fault positioning method, and provides reliable technical support for rapid disposal of a power dispatching data network fault.

The application provides a multi-person operation conflict detection method and device, a storage medium and an electronic device, and relates to the field of computer-aided design. The electronic device receives a synchronization request sent by a client; the synchronization request comprises version information of a local model and modification information of the local model; if the versions of the local model and a cloud model are inconsistent, it is determined whether the modification information causes multiple modification conflicts for the same target component; if yes, the conflict degree of the implicit conflicts between the multiple modifications is evaluated. In this way, when it is detected that the versions of the local model and the cloud model are inconsistent, the formal comparison does not stop, but further analysis is performed on whether the modification information causes multiple modification conflicts for the same target component, and the conflict degree of the implicit conflicts therebetween is evaluated, so that effective detection of cross-dimension association implicit conflicts is realized.

The application provides a multi-field comprehensive system simulation construction method and system, and relates to the technical field of simulation model establishment, and comprises the following steps: creating a model archive, wherein the model archive is used for storing model information and simulation configuration information; creating and editing a function model and a simulation model, wherein the function model comprises a modeling analysis module and a simulation execution module; configuring a simulation environment, decoupling and grouping the simulation model, wherein the decoupled objects comprise a system, a device and a bus node; and assembling the bus node into a joint group, and distributing the configuration information of the simulation model and the simulation environment into distributed nodes. The application has the advantages of improving the reliability and consistency of system comprehensive simulation integration.

Systems, apparatuses, and methods are provided enabling real-time collaboration with a graphical rendering program. A server computer executes a graphical rendering program that determines an application state that defines a visual object. Rendering data is generated for one or more views of the visual object based on the application state. The rendering data is transmitted to client computer devices connected to the server such that the client computer devices can display the views of the visual object. As the application state defining the visual object is determined on the server computer, displays of the visual object on all client computer devices can be updated in real-time.

The application discloses an intelligent simulation method, device and equipment for offshore wind power simulation operation and a medium. The method comprises the following steps: receiving a natural language instruction corresponding to offshore wind power simulation operation, analyzing the natural language instruction based on an analyst intelligent agent, and generating a standardized task instruction conforming to a model context protocol (MCP); connecting the MCP server through a tool calling intelligent agent, calling offshore wind power simulation operation tools encapsulated in the MCP server based on the standardized task instruction, and executing simulation operation to obtain simulation original results; analyzing the simulation original results through a result analysis intelligent agent to obtain simulation analysis results, and adjusting the standardized task instruction based on the simulation analysis results and re-executing the simulation operation to obtain target simulation results in the case that the simulation analysis results are not up to standard. The technical scheme can realize natural language driven full-process automatic simulation, improve simulation efficiency and result reliability, and support multi-tool standardized collaborative calling.