46 results about "Simulation modelling" patented technology

The present application belongs to the technical field of power transmission line structure health monitoring, and discloses a power transmission line tower group structure mechanics response and multi-source remote sensing parameter fusion analysis method based on graph neural network. The method aims at the problems of existing finite element simulation modeling complexity, incomplete sensor monitoring, lack of physical mapping of multi-source remote sensing data and tower mechanics response, acquires and pre-processes tower structure parameters and multi-source remote sensing data, and constructs a tower group graph data model; taking span as a unit, combining conductor mechanics equation to calculate load and unbalanced tension, building a graph neural network model integrated with tower axial force and bending moment bearing capacity physical regularization constraint; after training by historical working condition data, inputting new remote sensing and meteorological data to reconstruct tower group mechanics response field, generating risk early warning according to safety threshold. The present application realizes deep fusion of mechanics mechanism and remote sensing data, quickly and accurately reconstructs tower group mechanics response field, and outputs the results conforming to the structure mechanics balance law, thereby providing technical support for power transmission line health monitoring.

This application relates to the field of dynamic modeling technology, specifically to a multiphysics coupling modeling method for a dual-stator synchronous generator. The method includes: simulating and modeling the multiphysics of the dual-stator synchronous generator and discretizing the mesh; analyzing the magnetic pull force, simulated temperature, and simulated stress per unit area for each discretized element; determining the distribution differences of magnetic pull force, simulated temperature, and simulated stress among the elements to obtain the spatial distribution deviation and multiphysics difference of each element, thereby obtaining the distribution anomaly degree of each element; calculating the synergistic influence degree of each element to obtain the anomaly significance of each element; constructing four-dimensional feature points for each element using the anomaly significance, magnetic pull force per unit area, simulated temperature, and simulated stress; and obtaining characteristic outlier elements in the finite element physical model based on these features, thereby achieving structural optimization of the dual-stator synchronous generator. This application can improve modeling accuracy and optimize the structure of the dual-stator synchronous generator.

The application provides a hydraulic system three-dimensional model simulation modeling method and device, and relates to the three-dimensional modeling field. The method comprises the following steps: constructing a three-dimensional geometric topology based on the spatial position relationship and connection relationship between each hydraulic component in the ship hydraulic system; constructing a multi-domain parameterized model based on the three-dimensional geometric topology of the physical attribute parameterization, and establishing a multi-physical field coupling equation group through the multi-domain parameterized model; solving the multi-physical field coupling equation group through a finite element solving framework and a multi-body dynamics joint solving framework to output the corresponding time sequence simulation result of the ship hydraulic system, and iteratively correcting the spatial position relationship and connection relationship in the three-dimensional geometric topology; and constructing the corresponding three-dimensional model simulation model of the ship hydraulic system through the corrected three-dimensional geometric topology. The application solves the problem that the simulation result of the traditional hydraulic system modeling method in the complex cabin section structure of the ship is greatly deviated from the actual running state.

The present application relates to the field of ocean engineering and simulation modeling technology, especially to a kind of underwater vehicle digital twin synchronization method and system based on predictive compensation, the method comprises the original attitude data of underwater vehicle is acquired, dead zone threshold is dynamically adjusted based on the motion energy of vehicle, and the original attitude data is preprocessed according to dead zone threshold, the received data packet is mapped to the original position by time and space sliding window cache pool according to generation time stamp, and standard state frame is generated after missing data is filled;Standard state frame is pushed to digital twin visualization terminal;Visual terminal carries out predictive compensation rendering, completes digital twin synchronization, including combining hydrodynamic damping model and weighted fusion algorithm, drive virtual model smooth motion, linear prediction interpolation driving algorithm is used in digital twin visualization terminal in the present application, ensure the continuous motion trajectory of underwater vehicle virtual model, significantly improve the reality and operability of shore-based monitoring.

This invention discloses a modeling method for a new energy power plant simulator, relating to the field of power system simulation technology. Specifically, it includes the following steps: S1, developing and debugging a digital encapsulation model using ADPSS software on both the Windows and Linux platforms; S2, based on the established digital encapsulation model, connecting the new energy controller hardware to the simulator equipment within a simulation environment, and conducting relevant simulation modeling work; S3, obtaining the primary circuit topology and parameters of the new energy unit or SVG, and establishing a primary circuit model based on the primary circuit topology and parameters using the ADPSS simulation platform. The new energy power plant simulator modeling method provided by this invention only requires modeling, simulation, and debugging on one ADPSS simulation platform. Theoretically, all other platforms can be directly accessed by the platform user using the ADPSS-tested control encapsulation model, without requiring participation in model development, greatly reducing workload and complexity.

This invention discloses a defect control method for the RTM process of GIS plate-type insulating tie rods, belonging to the field of insulating tie rod design technology. The method includes constructing a simulation model of the GIS plate-type insulating tie rod RTM process; setting the physical field of the simulation model and performing mesh generation and control; simulating the flow process of the resin mixture in the RTM process based on the simulation model to obtain flow behavior data; obtaining the pressure field distribution characteristics and temperature field distribution characteristics of the resin mixture during the flow process; and analyzing the defect areas and their causes based on the flow behavior data, pressure field distribution characteristics, and temperature field distribution characteristics, and formulating process optimization methods. This invention provides theoretical support and simulation tools for the precise design, intelligent manufacturing, and defect control of plate-type tie rods, improving the consistency and engineering reliability of products; it also has methodological promotion value in the simulation modeling and multi-physics collaborative analysis of GIS-specific composite material insulating components.

The application provides a hybrid vehicle energy management method and system based on energy flow test and working condition adaptive parameter optimization, and belongs to the technical field of hybrid vehicle energy management. The method comprises the following steps: building a power assembly energy flow test platform, and completing a DOE experiment based on a Sobol sequence; collecting multi-scene data of an actual vehicle, extracting typical working conditions through PCA principal component analysis and K-means clustering, and combining a Markov chain to generate random cyclic working conditions; constructing a multi-domain coupled energy flow simulation model and verifying the model; performing strategy optimization on the typical working conditions based on GWO, and combining an online working condition recognition mechanism to construct an adaptive energy management strategy; the system comprises an energy flow test module, a working condition generation module, a simulation modeling module, a strategy optimization module and a vehicle controller module. The application realizes the collaborative optimization of fuel consumption, electricity consumption and battery life, and significantly improves the energy efficiency and reliability of HEV hybrid vehicles under complex working conditions and environments.

This invention discloses a method and device for measuring the flow rate of a condensate feedwater system oriented towards edge computing. The method includes the following steps: Step S1, extracting pump operating parameters under multiple typical operating conditions from a historical database of an industrial internet platform; Step S2, performing simulation modeling of the condensate feedwater system, and constructing a nonlinear mapping relationship between the pipe resistance coefficient and flow rate by combining the pipe geometry, fluid properties, and pump mechanical characteristics, thus obtaining the pipe resistance equation; Step S3, simultaneously solving the pipe resistance equation and the centrifugal pump head-flow characteristic equation using the Newton-Raphson iterative method to obtain the theoretically calculated flow rate value; Step S4, comparing the theoretically calculated flow rate value with the real-time measured flow rate value, and dynamically adjusting the model parameters to ensure that the model error is less than a set threshold. This invention achieves high accuracy in measuring the flow rate of the condensate feedwater system.

This invention belongs to the field of simulation modeling technology, and particularly relates to a power equipment fault simulation analysis modeling system. It includes at least an interaction layer, a logic processing layer, and a data management layer. The interaction layer includes model editing interaction components, simulation interaction components, and interaction control components. The logic processing layer includes modeling processing components, simulation parameter editing components, and import / export components. The data management layer includes a power equipment model database and a power equipment fault database. This application is intended for power equipment simulation teaching, fault analysis, and other purposes, meeting the application needs of teaching, experimentation, verification analysis, and other fields. Its main purpose is to provide a solution based on current simulation platforms that better achieves compatibility with various 3D simulation modeling software and simulation analysis data platforms, simplifies the power equipment fault simulation system, and enables better application in teaching analysis.

The application relates to the technical field of cultural heritage building scanning detection, and discloses a high-precision 3D scanner system and method based on AI technology fusion. The system comprises a data acquisition module, an AI data preprocessing module, a structural feature analysis module, a self-adaptive laser detection module and an AI simulation modeling and detection result fusion module. The method obtains cultural heritage building point cloud data through laser scanning, extracts structural feature parameters and determines morphological tendency categories after AI multi-stage noise reduction and segmentation processing, adaptively adjusts the laser incidence direction and the scanning path, combines AI three-dimensional reconstruction and texture optimization to generate a high-precision simulation model, and simultaneously completes structural defect detection and classification. The application clearly defines the dynamic setting, calibration method and feature sub-region adaptive division strategy of key parameters, solves the problem of insufficient precision caused by environmental interference and complex structure in cultural heritage building scanning, significantly improves the scanning detection precision and efficiency, and provides technical support for cultural heritage protection.

The invention relates to the technical field of digital twinning, and discloses a 3D chip design simulation modeling method and system based on the twinning technology, and the method comprises the steps: obtaining physical field simulation data, carrying out the feature fusion of thermal stress and thermoelectric coupling through solving a thermal expansion vector field, and obtaining a preliminary mapping relation; according to the preliminary mapping relation, nonlinear cumulative effect calculation of the dynamic power consumption density is carried out, and a final cumulative effect value is obtained; according to the final cumulative effect value, adjusting an interconnection material, and correcting an index set; according to the correction index set, deviation quantitative calculation is carried out through heat flow evolution path analysis, and a thermal resistance degradation deviation matrix is obtained; according to the thermal resistance degradation deviation matrix, Pareto front inflection point extraction is carried out, and balance configuration is obtained; according to the balance configuration, non-dominated declusters meeting a preset critical power consumption threshold value are screened out, and candidate declusters are obtained; and according to the candidate declusters, screening out the optimal configuration, and outputting a final optimization scheme. The method can reduce the abrupt change risk of the chip degradation rate.

The present application relates to the technical field of three-dimensional integrated circuit protection in aerospace radiation environment, and particularly relates to a method and system for simulating and modeling a microsystem interconnection module based on a through silicon via under proton irradiation. The method comprises: constructing a three-dimensional finite element model containing a through silicon via, a redistribution layer and a micro-bump, adjusting material parameters to extract scattering parameters, and establishing a correlation model between material characteristics and scattering parameters; constructing an equivalent RLC circuit in an ADS environment and establishing a corresponding relationship between the equivalent RLC circuit and the scattering parameters; combining a proton irradiation experiment to obtain scattering parameters under different radiation fluences, and further establishing a correlation model between the radiation fluence and the RLC circuit parameters. The present application combines simulation and experimental methods to achieve precise modeling between the radiation dose, the circuit parameters and the scattering characteristics, and provides support for the electrical performance prediction and protection design of three-dimensional microsystems in complex radiation environments.

This application provides a method and system for controlling an embodied intelligent robot based on a virtual-real fusion learning platform, belonging to the fields of mobile robot virtual-real fusion simulation, robot closed-loop control, and embodied intelligent training technology. The method includes: acquiring the target task type and target simulation scene, and calling the target simulation scene and loading a preset simulation model through the virtual-real fusion learning platform; collecting the actual posture data of the target robot in the real scene; acquiring the actual position data of the target robot in the real scene through an optical positioning module; driving the simulation model based on the actual posture data and actual position data to obtain the simulation pose data of the target robot in the target simulation scene; training a preset initial control model based on the target task type and simulation pose data to obtain a target control model; and controlling the target robot based on the target control model. This application can improve the accuracy of robot control.

This invention belongs to the field of power transmission line structural health monitoring technology, and discloses a method for fusing and analyzing the structural mechanical response of power transmission line tower groups with multi-source remote sensing parameters based on graph neural networks. This method addresses the problems of complex finite element simulation modeling, incomplete sensor monitoring, and lack of physical mapping between multi-source remote sensing data and tower mechanical response in existing methods. It acquires and preprocesses tower structural parameters and multi-source remote sensing data to construct a graph data model of the tower group; calculates loads and unbalanced tensions using span as a unit and combining conductor mechanics equations, and builds a graph neural network model incorporating physical regularization constraints of tower axial force, bending moment, and bearing capacity; trains on historical operating data, inputs new remote sensing and meteorological data to reconstruct the mechanical response field of the tower group, and generates risk warnings based on safety thresholds. This invention achieves deep fusion of mechanical mechanisms and remote sensing data, rapidly and accurately reconstructs the mechanical response field of the tower group, and outputs data conforming to structural mechanical equilibrium laws, providing technical support for power transmission line health monitoring.

The application relates to the technical field of bridge construction, in particular to a stress analysis method for erecting a construction bridge by using a narrow-width precast beam with a slope curve, which comprises the following steps: a beam-erecting machine beam structure model is established according to structural material parameters, wherein the structural material parameters include highway beam-erecting machine parameters, bridge structure parameters and I-beam prestressed steel strand parameters; various types of checking loads acting on the beam-erecting machine and the precast I-beam are calculated and determined based on the structural model, wherein the checking loads include self-weight, beam-erecting machine load, wind load and steel strand prestressed load; the stress conditions of the bridge are analyzed based on different working conditions; the eligibility of the beam-erecting machine beam process is determined according to the bridge deformation displacement results and the bridge concrete stress results; and the construction optimization strategy is determined according to the direction of the maximum displacement of the bridge deformation. The safety and stability of the beam structure are ensured through simulation modeling and theoretical analysis.

The application relates to the technical field of bridge engineering structure test, and discloses a self-anchored suspension bridge scale model mechanical simulation and structure monitoring system, which comprises a physical test bed end, a computer-aided simulation end, and simulation modeling modules, tension solution modules, loading simulation modules, monitoring and evaluation modules and damage identification modules arranged in the system. The equivalent model is constructed through the simulation end and the physical assembly is guided, the nonlinear iteration is used to output the bridge tension control coordinate matrix to guide the entity main cable erection and the cable tension, the limit state safety evaluation is carried out by comparing the measured data with the theoretical benchmark data after the load state is established, the structural defects are introduced into the entity model to extract the measured modal parameters, and the element stiffness matrix of the simulation model is corrected in reverse. The application realizes the data interaction and closed-loop correction of computer simulation and physical test, and effectively improves the stress control precision of the complex bridge in the bridge state and the structural damage identification accuracy.

This invention proposes an integrated simulation modeling method for digital twin models of wing structures, belonging to the field of structural modeling and simulation. It includes: constructing a tree-like integrated simulation framework for the wing, encapsulating multi-level simulation models of the wing, online integrated simulation of the wing structure, structural performance prediction and evaluation, and updating the integrated simulation model. This invention expands upon the construction of a multi-level wing model, building a tree-like integrated simulation framework based on the multi-level structural characteristics of the wing. Then, based on the open standard functional prototype interface (FMI), the multi-level wing model is unified into functional prototype unit (FMU) models. Subsequently, the FMUs are integrated in the system simulation software to establish an online integrated simulation model of the wing structure, while simultaneously predicting the mechanical response of key structural components in real time. This invention can improve the modeling efficiency of the system simulation model.

1. The name of the design product: power system simulation modeling parameter touch operation platform. 2. The use of the design product: for power system laboratory simulation modeling training, realizing visual touch adjustment, real-time input and modification of various power grid model parameters, and synchronous linkage simulation system to complete parameter configuration and model debugging. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention discloses a bushing operation status control system based on digital twins, relating to the fields of bushing operation program control and intelligent operation and maintenance technology. It includes a module for multi-source operation data acquisition and program interaction throughout the bushing's entire lifecycle, a module for full-size digital twin program simulation modeling of the bushing, a module for quantitative evaluation and anomaly identification of the bushing operation status program, a module for predicting and analyzing the evolution trend of bushing operation risks, a module for generating multi-objective adaptive optimization program control strategies, and a module for digital twin program simulation verification and control strategy pre-optimization. This invention achieves real-time perception and evaluation of the bushing's operation status across all dimensions, completes the pre-verification of control strategies through digital twin simulation, adapts the adaptive optimization control strategies to changes in operating conditions, and enables continuous model iteration through closed-loop feedback throughout the entire process, effectively improving the accuracy of bushing management and control, extending service life, and reducing operation and maintenance costs.

This invention discloses a method and system for evaluating DNA storage sequencing depth based on channel simulation, addressing the problems of inaccurate predictions and limited guidance in existing uniform distribution models. The method includes: when sequencing data is available, fitting real data to obtain log-normal distribution parameters μ and σ; when sequencing data is unavailable, obtaining μ and σ through simulation modeling based on experimental parameters; and combining these parameters to calculate the decoding ratio of the coding strand in the noiseless channel and the sequencing depth boundary in the noisy channel. The system includes input, storage channel modeling, sequencing depth calculation, and output modules. The model of this invention closely reflects reality, provides accurate predictions, reduces DNA storage and retrieval costs, improves the success rate of single-sequencing decoding, and is easy to use, facilitating the practical application of the technology.

The application provides a kind of optical fiber laser and electrolytic multi-physics field coupling simulation modeling method, device, equipment and storage medium, it relates to laser processing and electrochemical processing composite manufacturing technical field.The method comprises: establishing axisymmetric geometric model;Construct a multi-physics field coupling model, including flow field model, gas generation model, heat transfer model, electric field model, ion diffusion model and material removal model;Set simulation parameters and boundary conditions;Solve the multi-physics field coupling model using finite element simulation software to obtain the potential, current density, temperature, conductivity, ion diffusion coefficient, gas volume fraction and flow field distribution in the processing process.The application realizes the simulation modeling of the simulation of the optical fiber laser and electrolytic composite processing process, and can be used for analyzing the material dissolution characteristics and obtaining the physical quantities difficult to measure by experimental instruments in the processing.

The application discloses a Geant4 Monte Carlo energy spectrum detection simulation modeling method based on front-end and back-end separation architecture, which can flexibly simulate the response of a detector to various shapes, materials and radioactive sources, and calibrate the efficiency of the detector without standard sources. The method comprises the following steps: S1, writing an interface of a Geant4 part according to requirements, and adding a self-defined macro instruction; S2, building a server communicating with the Geant4; S3, processing recorded simulation result information by Root software, and widening an output energy spectrum; S4, building a front end of a simulation system; S5, providing various methods for calibrating the efficiency of the simulation result, and saving the calibration result; S6, designing a self-defined model conversion interface; S7, deploying a database; and S8, deploying all back-end containers and database containers through Docker. The method can save time and cost, and greatly broaden the use range of the detector.

This invention provides a simulation modeling method, apparatus, computer device, and medium for a fuel filling / discharging control panel. The method includes the following steps: constructing an operation display UI component; generating core input data; receiving the core input data and performing power-on self-test and cyclic self-test to generate a self-test fault flag and a switch status signal; identifying and recording fault types based on the self-test fault flag to generate fault record data and a controlled shutdown command; receiving the core input data, fault record data, and fuel information from a fuel measurement and management computer to generate display information; receiving the switch status signal, the controlled shutdown command, preset fuel quantity information, and internal circuit data to generate a bus output signal and sending the bus output signal to the fuel measurement and management computer and the refueling solenoid valve. Because this solution modifies parameters and verifies them in real time within a simulation environment, it shortens the development cycle.

This application discloses a parametric simulation modeling method and device suitable for flow field optimization of thin-walled cylindrical components, relating to the field of numerical simulation technology. The method includes: generating a meshed simulation model comprising a furnace body and components located within the furnace body, wherein the furnace body includes tuyeres; obtaining initial values ​​of the tuyeres' geometric parameters; performing a flow field solving operation: based on the tuyeres' geometric parameters and a preset simulation time and time step, solving for the flow field distribution of the target model using a solver; after performing the flow field solving operation, if the solved flow field distribution of the target model does not meet the target requirements, obtaining adjustment values ​​for the tuyeres' geometric parameters, and returning to perform the flow field solving operation and subsequent steps until the solved flow field distribution of the target model meets the target requirements. This application can reduce the computational load and cost of simulation modeling for flow field optimization in vacuum high-pressure gas quenching processes of thin-walled cylindrical components, and improve optimization efficiency.

The application discloses a kind of multilevel collaborative prototyping design method, system and readable storage medium of aircraft energy management strategy, belong to avionics electrical design field.The method includes S1 offline simulation modeling and preliminary verification, and establishes and verifies the initial simulation model including multiple systems and energy management strategy;S2 model segmentation and real-time closed-loop verification, the initial model is segmented into controlled object model and control strategy model, and is deployed to different real-time simulation target mechanism to build the first closed-loop verification environment for testing and cross-level result comparison;S3 strategy optimization and hardware-in-the-loop verification, the optimized strategy code is deployed as prototype controller, and the second closed-loop verification environment is built for final verification with real or high-fidelity simulation physical aircraft system.The application realizes the efficient and reliable iteration of control strategy from virtual design to physical integration through hierarchical progressive verification process connected by data link, significantly reduces physical verification risk and cost, shortens development cycle and improves confidence.

The application discloses a simulation modeling analysis system for multiple working conditions of a DC equipment in a converter station, and relates to the technical field of power simulation.The system comprises a fault scanning module, a model construction module and the like.The fault scanning module is used for performing short-circuit and grounding fault scanning in an AC / DC system electromechanical transient baseline project, and deploying a dynamic phasor traveling wave interface corridor on a boundary interconnection channel of a target object set to output a target object set configuration package.The model construction module is used for constructing a steady-state equivalent parameter model and a transient-state equivalent parameter model according to the target object set configuration package in an electromagnetic transient simulation project, and assembling the steady-state equivalent parameter model and the transient-state equivalent parameter model into a unified electromagnetic transient simulation project.The application can reduce the modeling range and configuration complexity of multiple working condition joint calculation by performing short-circuit and grounding fault scanning in the AC / DC system electromechanical transient baseline project through the fault scanning module and forming a target object set and a boundary interconnection marking table.

The application discloses a simulation modeling method and system based on a large model driver, which comprises the following steps: S1, analyzing natural language requirements and completing the analysis, and outputting dialogue state information; S2, calculating a vector through all-MiniLM-L6-v2 and recalling field knowledge supplement information by using a knowledge graph; S3, processing by using an improved Llama-3 model, constructing a graph neural topology injection layer to extract topology features, fusing the topology features to a hidden layer through a cross-modal gating mechanism, generating fragments in sequence and integrating the fragments into a structured intermediate result; S4, selecting corresponding rule templates and code templates; S5, mapping and filling the intermediate result to the templates, and outputting scene data files and executable simulation model codes; and S6, repeating the above steps based on modification requirements to locally regenerate and map and fill. The application realizes accurate understanding of interactive logic and code specification generation, and has the advantages of low error rate and iteration stability.

This invention discloses a batch task progress collaborative management system and method for OTA upgrades, relating to the field of internet technology. The system includes: a status reporting and acquisition module for acquiring upgrade task status and multimodal resource status information periodically reported by terminals; an upgrade decision component construction module for establishing an upgrade decision component including a parallel evaluation channel and a discrimination layer based on simulation modeling; an upgrade decision generation module for generating an upgrade decision scheme by combining multimodal resource status information and the upgrade decision component; and a collaborative upgrade control execution module for applying the upgrade decision scheme and executing collaborative upgrade control based on a resource collaborative scheduling strategy. This invention solves the technical problems of low upgrade efficiency and poor reliability caused by single, fixed strategies and concurrent resource contention during large-scale terminal upgrades, improving upgrade success rate, efficiency, and stability.