15 results about "Closed loop simulation" patented technology

A computer-implemented method and system are disclosed for simulation-based testing and benchmarking of an agentic artificial intelligence (AI) system. The method comprises binding a simulation agent to one or more tool-access interfaces of the agentic AI system to replace external tools, intercepting requests emitted through the interfaces, and generating protocol-compliant responses using synthetic data and a simulated environment. The simulation agent executes healthy and fault-inserted task runs within the synthetic environment and generates a performance vector comprising task-completion rate, accuracy, efficiency, resilience, and fault-recovery metrics. The system is configured for maintaining a simulation registry, orchestrating resource allocation using reinforcement-learning policies, and applying an autonomous feedback pipeline for continuous refinement. In some embodiments, the simulation agent operates in a stealth observation mode to train surrogate tool models, enabling privacy-compliant, closed-loop simulation.

The invention discloses a closed-loop simulation evaluation method and system for a backlight diffusion model, and relates to the technical field of display systems, and the method comprises the steps: carrying out the calculation based on an initial linear image, and obtaining a partition backlight value; fitting screen front backlight and reference screen front backlight are determined based on the partition backlight values; determining a fitting liquid crystal value based on the fitting screen front backlight and the initial linear image; determining a reference liquid crystal value based on the reference screen front backlight and the initial linear image; multiplying the fitting liquid crystal value and the reference liquid crystal value by the reference screen front backlight to correspondingly obtain a fitting linear image and a reference linear image; respectively converting the fitting linear image and the reference linear image into sRGB formats, and correspondingly obtaining a fitting sRGB image and a reference sRGB image; comparing the fitting sRGB image with the reference sRGB image to obtain a perception difference; and evaluating the image quality of the fitted sRGB image. According to the method, the performance of generating the fast approximation model for fitting the sRGB image can be fully evaluated.

This utility model discloses a novel shaftless pump-driven river algae experimental device, relating to the field of aquatic ecological simulation and early warning prediction technology. It includes an experimental water tank, a propulsion pump, and vortex-generating impellers. The experimental water tank has a ring-shaped structure, with a filling space at the bottom for filling with substrate and a water passage at the top. The propulsion pump is installed inside the experimental water tank to circulate the water within the passage. Multiple vortex-generating impellers are installed inside the experimental water tank to generate vortices in the water within the passage. This device can effectively simulate the hydrodynamics and aquatic environment of a real river in a closed loop, and is compatible with river ecological physics simulations based on water level differences. It offers advantages such as realistic simulation environment, minimal bubble turbulence, low background noise, and long-term algal survival friendliness, making it particularly suitable for experimental research on algae simulation, regulation, and early warning prediction.

The present application relates to the field of new energy power system simulation technology, in particular to a real-time simulation test modeling method and system for a new energy station, comprising: receiving steady-state parameters and dynamic instructions, constructing a multi-time scale device model library and determining a disturbance scene. The detailed electromagnetic transient model and the simplified electromechanical transient model are mapped through interface variables, a bidirectional data interaction channel is established, and mixed scale closed loop simulation is carried out on a real-time simulation platform. The output data of the two types of models are synchronously collected, the device level transient response characteristics and the station level dynamic response characteristics are respectively extracted, and a dynamic response panoramic atlas is generated by fusion. The atlas is matched with the similarity of the historical typical response mode, and a model confidence evaluation report is output. The method realizes real-time bidirectional interaction between models of different time scales, and provides automatic and panoramic intelligent evaluation capability of simulation results.

The application discloses a kind of based on multidisciplinary linkage electric vehicle virtual simulation system and test method, wherein the method comprises: constructing multidisciplinary joint simulation environment;The closed loop simulation of the automatic driving algorithm to be measured is executed;Vehicle dynamics response simulation;Vehicle subsystem simulation and feedback;Scene construction and test execution;Test result output and evaluation.The application integrates multidisciplinary commercial simulation software, constructs the multidisciplinary joint simulation platform of scene generation, sensor simulation, vehicle control system and electromechanical system, to realize key test scene construction, multi-class sensor data simulation, core control module modeling and high-fidelity simulation of key components such as battery, motor and thermal management, to provide complete solution for the research and development of electric vehicle and intelligent driving technology, meet the comprehensive demand of multidisciplinary fine simulation for new energy vehicles and intelligent driving system.

The application discloses a kind of wave-current coupling scour simulation test methods in supergravity field, it is related to the cross field of geotechnical engineering and ocean engineering.This method synchronously collects multi-source observation signals under supergravity environment, constructs phase synchronous observation sequence with wave phase as index.Using low-dimensional filtering-inversion integrated method based on wave phase harmonic expansion, combined with adaptive basis function and scour starting physical constraint, high-precision inversion bed surface shear stress field.Through calculating the sensitivity of shear stress to wave-current phase difference and constructing nonlinear controllable domain, carry out shear stress controllability analysis.Based on this, adopt double-layer control strategy, outer layer planning target phase trajectory, inner layer combined with bed surface evolution state switch linear or nonlinear compensation control structure, generate control command of driving wave-making and flow-making mechanism.The application solves the problem that existing technology cannot simulate the dynamic change of wave-current phase and lacks real-time feedback of shear stress field, realizes the accurate closed-loop simulation of wave-current coupling scour.

The invention discloses an electric vehicle virtual simulation system based on multidisciplinary linkage and a test method. The method comprises the following steps: constructing a multidisciplinary joint simulation environment; executing closed-loop simulation of the to-be-tested automatic driving algorithm; vehicle dynamics response simulation; vehicle subsystem simulation and feedback; scene construction and test execution; and outputting and evaluating a test result. By integrating multidisciplinary commercial simulation software, a multidisciplinary joint simulation platform for scene generation, sensor simulation, a vehicle control system and an electromechanical system is constructed, so that key test scene construction, multi-class sensor data simulation, core control module modeling and high-fidelity simulation of key components such as a battery, a motor and thermal management are realized; a complete solution is provided for research and development of electric vehicles and intelligent driving technologies, and the comprehensive requirements of new energy vehicles and intelligent driving systems for multidisciplinary refined simulation are met.

The invention relates to the technical field of intelligent charging, and discloses a charging pile test simulation system which can input self-defined test operation content or / and test data content in real time based on an interaction unit, such as fault injection operation or / and fault recovery operation and real-time charging content concerned by a user. The test depth and the abnormal coverage capability are enhanced; a BMS data generating and sending module constructed based on the model unit can dynamically generate BMS demand data according to a pre-constructed virtual battery model in combination with a charging request instruction, closed-loop simulation interaction of the whole charging process is achieved, it can be ensured that a rechargeable battery maintains dynamic characteristics in the charging simulation process, and the charging simulation efficiency is improved. Meanwhile, good fault injection and recovery capabilities are achieved, the technical problems of weak simulation capability, single function, complex operation and the like in the current charging pile test are effectively solved, powerful tool support is provided for the charging pile test, and the urgent test requirements of charging pile equipment can be met.

The present application relates to the technical field of power equipment detection, and particularly relates to a flexible configuration signal protection substation automatic point-to-point test method and system, which constructs a digital twin closed loop simulation system and a standard information dictionary library; according to a signal mapping relationship in the standard information dictionary library, a standardized signal point defined in a minimum test item in a general test template library is associated with an actual equipment address in a mapping table, a standard signal point parameter in the general test template library is replaced with a specific communication address and an access path, the minimum test item after the parameter replacement is combined into an executable test sequence, and an executable test scheme for a specific project is output; actual response is compared with expected results, automatic point-to-point test is completed, and therefore rapid adaptation and full-automatic closed loop test of various signal protection substations are realized, debugging efficiency and data accuracy are significantly improved, and human intervention risk is reduced.

The application relates to the technical field of intelligent charging and discloses a charging pile test simulation system, which can input real-time test operation contents or / and test data contents, such as fault injection operations or / and fault recovery operations and real-time charging contents concerned by users, based on an interactive unit, so that the test depth and abnormal coverage capability are enhanced; a BMS data generation and sending module constructed based on a model unit can dynamically generate BMS demand data according to a pre-constructed virtual battery model in combination with a charging request instruction, so that not only is a closed-loop simulation interaction of the whole charging process realized, but also the dynamic characteristics of a charging battery can be maintained in the charging simulation process, the charging pile test provides strong tool support, and the simulation capability is weak, the function is single, and the operation is complex.

The invention relates to the technical field of radar guidance simulation, and discloses a laboratory seeker closed-loop analog simulation verification system. According to the system, an original echo set and relative motion state parameters of a detection signal emitted by a seeker after the detection signal is received by a target simulation subsystem are synchronously acquired through a signal acquisition module; the dynamic scene resolving module performs time-frequency analysis on original echoes to extract signal components, and generates a dynamic scene description matrix in combination with calculated motion parameters. And the path planning module takes the matrix characteristics as guidance, performs path optimization in a predefined signal propagation constraint space, and determines a signal delay adjustment path. And the signal reconstruction module carries out modulation and delay processing on the original echo, generates a reconstructed echo and injects the reconstructed echo into the seeker. According to the scheme, the signal propagation effect in a complex dynamic scene can be simulated vividly, and the authenticity and environmental adaptability of a laboratory simulation test are improved.

The invention relates to the technical field of power system operation optimization, in particular to a new energy power distribution strategy decision optimization management method based on deep learning, which comprises the following steps: acquiring historical supply and consumption data through a power data acquisition network, and performing multi-dimensional data alignment and time sequence coupling analysis to generate joint data. And analyzing the data to determine an optimal input window and a prediction step length of the supply and consumption prediction model, and further executing prediction in parallel to obtain a future supply and consumption prediction set. And carrying out multi-round strategy simulation and evaluation on the prediction sets by utilizing a strategy decision optimization network, and screening out a strategy with the highest internal evaluation score as a target power distribution strategy. According to the method, the prediction precision is improved by enhancing the data time sequence relevance, and the dynamic adaptability and decision robustness of an allocation strategy are enhanced through a closed-loop simulation optimization mechanism.

A system-on-a-chip (SoCIL) for closed loop simulation of a control system includes a system-on-a-chip (SoC) field programmable gate array (FPGA) board. The SoC FPGA board comprises a target controller, and the target controller is an electronic control unit (ECU). The target controller comprises one or more target controller soft processors. The SoC FPGA comprises a real-time computer, and the real-time computer is a general-purpose computer. The real-time computer includes one or more real-time soft processors. The SoC FPGA includes one or more high frequency simulation modules including clock speeds having frequencies in the megahertz range and one or more high frequency physical device models. One or more target controller soft processors of the target controller, one or more real-time soft processors of the real-time computer, and one or more high-frequency physical device models of the one or more high-frequency simulation modules are in electronic communication with one another via an on-chip communication bus protocol.

A digital closed-loop simulator for satellite attitude orbit control system test and its construction method. It belongs to the field of aerospace technology. The existing two physical simulation test methods are optimized and improved. Only the AOCS software function is tested, and there is no need to access the real attitude control unit. This method is convenient for rapid iteration and upgrading of AOCS software version, improves the satellite development efficiency, reduces the production cycle, and is conducive to the serialization and mass production of satellites. In addition, during the on-orbit operation of the satellite, the single machine (flywheel, magnetometer, etc.) may fail, and this system can also be used to verify the processing of the AOCS software for the single machine failure mode.

The invention discloses a tripping circuit simulation method and system based on a transformer substation secondary circuit model. The method comprises the steps that standardized modeling is executed, and a digital model is output; analyzing the model and establishing mapping of a physical-to-electrical connection relation and element definition; performing electrical quantity initialization setting on the element; automatically tracking from a protection tripping outlet to a circuit breaker tripping coil, and restoring a complete physical path; performing loop electrical calculation based on the path; a protection action is preset, and a relay is triggered through threshold comparison; according to relay-contact mapping, driving an associated loop to recalculate, and judging that a trip coil is electrified; primary equipment opening and secondary node state feedback are linked through primary and secondary system attribute binding; and finally, loop current return-to-zero and relay reset are realized, and full-chain closed-loop simulation of'protection action coil excitation switch opening state feedback 'is completed. The loop correctness can be effectively verified, and the operation and maintenance safety and efficiency are remarkably improved.