10 results about "Simulation integration" patented technology

The invention belongs to the technical field of material processing and manufacturing, and particularly relates to a multi-process complex loading process material deformation and performance unified prediction method and application thereof. Aiming at the technical defects of an existing material constitutive model in the aspects of cross-process applicability, multi-process historical effect characterization and formation-structure-performance whole-process unified evaluation, a unified internal variable system is constructed; by combining a multi-process unified constitutive theory, a multi-process composite loading path calibration method and a multi-data source collaborative parameter identification and simulation integration technology, unified prediction of deformation behaviors, structure evolution and post-forming performance of materials under different forming processes, different loading modes and complex historical paths is realized. Compared with the prior art, the method of the invention makes significant technical progress in the aspects of model versatility, prediction precision and engineering implementation convenience.

This invention presents a simulation integration method for external deployment of deep learning models based on the TorchScript and FMU interface, belonging to the field of vehicle dynamics simulation and artificial intelligence technology. The method includes the following steps: Step 1, converting the PyTorch model to a TorchScript model; Step 2, loading the TorchScript model encapsulation DLL using a C++ interface; Step 3, encapsulating the DLL into an FMU using the FMI standard; Step 4, the simulation software calls the FMU in real time for vehicle simulation. Under the FMI 2.0 standard interface framework, this invention deploys a Transformer-based tire longitudinal force sequence prediction model in FMU form to the whole vehicle simulation environment, ensuring stable and reliable predictions through training and deployment. The method described in this invention achieves efficient and stable direct integration between the PyTorch model and vehicle simulation software, avoiding compatibility issues that may occur when using ONNX as an intermediate conversion step. The model deployment steps are simpler, and the deployment difficulty is significantly reduced. The combination of TorchScript and C++ interfaces ensures the efficiency and stability of real-time model calls, effectively improving the overall efficiency and reliability of the simulation.

The application discloses an industrial system mechanism modeling simulation platform, a unified system modeling simulation code system is constructed based on a Python language, a system identification model function library is constructed based on AI technology, and a dynamic model of a complex industrial system or equipment is identified through industrial big data; a general system modeling simulation environment is provided, a linear dynamic system and an artificial intelligence nonlinear dynamic model are incorporated into a unified modeling simulation system, visual combination modeling and industrial system simulation are carried out, and identification modeling simulation integration is supported; and the application is used for industrial system identification modeling simulation technology required by industrial internet and industrial intelligent construction, and provides a reliable system model for design of a high-end controller.

The application provides a simulation integration method and system of FPGA communication module, comprising the following steps: step S1: converting IP source code of the FPGA communication module into FPGA simulation module code in C++ language; step S2: based on the FPGA simulation module code, performing interface adaptation on the system bus access part of the full-digital simulation system for accessing the FPGA communication module; step S3: introducing another module identical to the FPGA communication module as a symmetric module, and cross-connecting the symmetric module and the FPGA communication module in a transceiving interface; and step S4: on the communication data receiving side of the symmetric module, performing interface adaptation according to the bus access mode in the full-digital simulation system. The FPGA module simulation of the application is based on the source code of the FPGA, thereby improving the accuracy of the FPGA simulation behavior.

The invention discloses an intelligent graphical user interface development system and method based on a handle graph, and relates to the technical field of computer software development. According to the system, by constructing a hierarchical object management system, a dual-mode development engine, an intelligent callback and event processing mechanism, a multi-dimensional data interaction module and a simulation linkage module, the problems of disordered object management, low development efficiency, lagging interaction response, unsafe data transmission, insufficient integration with engineering tools and the like in traditional GUI development are solved. The system comprises an object level management module, a dual-mode development module, an attribute intelligent configuration module, a callback and event management module, a data interaction module and a simulation linkage module. According to the method, efficient, flexible and extensible GUI development is realized through hierarchical object construction, dual-mode development adaptation, dynamic attribute configuration, callback and event binding, data security transmission and simulation deep integration.

This application relates to the field of simulation integration technology, specifically to a data processing system for co-simulation. The system includes an interaction module, a script parsing module, and a function adaptation module. The interaction module receives function instructions and source scripts. The script parsing module converts the source script into a lexical sequence; determines the type information corresponding to dynamic type variables in variable nodes; determines the parameter type characteristics of function call nodes based on a bidirectional mapping table; determines the intermediate code corresponding to the functional modules and sends the intermediate code to the algorithm platform. The function adaptation module generates adaptation rules for function instructions; adapts and transforms the input parameters to obtain adaptation parameters; constructs a scheduling strategy; and sends the function instructions, adaptation parameters, and scheduling strategy to the algorithm platform. This application solves the technical problem of low data interaction efficiency between algorithm platforms and general simulation platforms in related technologies.

This application relates to the field of network technology, and in particular to a digital simulation integration system, method, and apparatus for satellite communication networks. The system includes a simulation soft bus, an integrated information gateway, model software allocation, and simulation operation management. The simulation soft bus is a logical bus built on Ethernet, used to provide publish / subscribe data distribution services for simulation members. The integrated information gateway is used to convert the format of information exchange between satellite communication system simulation information and various professional simulation systems. The model software allocation is used to configure the software and call interfaces of the model systems to be integrated, realizing the integration and interaction of the software systems to be integrated. The simulation operation management is used to monitor, manage, and control simulation members and the simulation operation process. Applying this system can improve the simulation application capabilities and simulation operation efficiency of satellite communication networks, meeting the increasingly complex digital simulation needs of satellite communication networks.

The invention relates to a fatigue simulation analysis method considering a heat affected zone of a welding seam. The method comprises the following steps: S1, preparing a fatigue pattern and carrying out a fatigue test; s2, processing test data: fitting the data according to the fatigue test data; s3, creating a fatigue material card; s4, performing finite element simulation; and S5, verifying and optimizing. Through systematic experimental design, accurate data processing and complete simulation integration, accurate prediction of the fatigue life of the welding structure can be realized.

The invention relates to the technical field of ship digital twinning, and discloses a dynamic modeling and simulation system based on ship digital twinning. A navigation intention recognition module of the system obtains ship navigation state data, analyzes a navigation intention and divides corresponding classification feature regions; the twin mapping module obtains a dynamic topological graph and constructs a mapping relation between the dynamic topological graph and the classification feature region; the simulation integration module extracts key integration features and calculates a matching degree to generate a twin integration scheme; the dynamic portrait generation module analyzes a node data updating state and adjusts a mapping relation based on a scheme time distribution characteristic; and the navigation management module identifies a navigation target and a sequence according to the adjusted mapping relation, and generates a navigation management strategy library. The system can realize accurate modeling and simulation of the ship navigation state, improves the pertinence and adaptability of navigation management, and is suitable for ship navigation management scenes.

This invention relates to the field of thermal measurement simulation technology, specifically a digital twin-based thermal measurement simulation system. The system includes a spectral data construction module, an energy level parameter conversion module, a temperature region reference generation module, a disturbance data correction module, and a simulation integration module. By constructing a multi-layered data structure encompassing spectral peak intensity distribution, energy level ratio structure, and a bidirectional mapping relationship between spectral point response and thermal disturbance, continuous dynamic simulation of the thermal field evolution of aerospace engines under different operating conditions can be achieved. By combining spectral response behavior with thermal disturbance data for difference extraction and logical feedback, a correctable, integrateable, and iterative thermal measurement simulation process is effectively constructed. This significantly improves the real-time performance and accuracy of thermal field change simulation, ensuring high-precision prediction of engine thermal characteristic evolution and responsiveness to dynamic thermal control strategies under extreme environmental conditions. This provides complete thermal measurement simulation support for aerospace engines under complex thermal field conditions.