11results about How to "Improve Simulation Confidence" patented technology

The invention discloses an airborne equipment ground verification method based on situation construction, and belongs to the field of semi-physical simulation testing. The method comprises the following steps: generating situation information of a carrier aircraft and a friend aircraft according to a target motion track; calculating atmospheric transmission characteristics between the target and the airborne equipment in combination with the situation information; based on the influence of the atmospheric transmission characteristics on the target, correcting the actually collected target intrinsic radiation parameter to obtain the target radiation brightness received by the airborne photoelectric equipment; infrared characteristics of the sky background are calculated; quantification and display of infrared radiation; and carrying out semi-physical simulation verification based on the situation data and the infrared scene. According to the method, outfield actual measurement data are fully utilized, situation information is constructed from an airborne equipment use scene, target radiation characteristic collection, motion characteristic modeling and a semi-physical simulation test are organically combined, and a controllable and repeatable ground verification means is provided for airborne equipment on the premise that the simulation confidence is effectively improved.

The invention discloses a circuit breaker operating mechanism load simulation device and a test method. The load simulation device comprises an eccentric wheel, a motor, an output sliding block, a force sensor, a displacement sensor and a bottom plate. An adjusting sliding block is arranged on the surface of the eccentric wheel in the radius direction of the eccentric wheel and can move in the radius direction of the eccentric wheel. The output shaft is connected with an eccentric shaft of the eccentric wheel and drives the eccentric wheel to rotate; a connecting rod is rotationally connected between the output sliding block and the adjusting sliding block, and the eccentric wheel rotates to drive the output sliding block to reciprocate; the force sensor is connected with the output sliding block and transmits force to a load part; the displacement sensor is used for detecting the displacement of the output sliding block; the eccentric wheel, the motor and the displacement sensor are arranged on the top of the bottom plate. The load simulation device is high in flexibility and can simulate a real mechanical load.

The present invention provides a lightweight communication satellite simulation system based on signals and information, comprising: a receiving module, an onboard information processing module, a transmitting module and a satellite orbit attitude calculation module; the receiving module receives measurement and control instructions, signaling or services sent by an external channel, calculates the characteristics of the signal, and judges the on-off state of a link according to the characteristics of the signal; judges whether the signal can be received by the onboard information processing module according to the on-off state of the link; after receiving the relevant signal, the onboard information processing module processes the signal, simulates the network access process, the link establishment process, the beam pointing adjustment process and the service information routing process, and sends the relevant measurement and control response information, signaling and service information to the transmitting module; the transmitting module generates signal characteristics according to the positional relationship between the transmitter and the receiver, and packages the signal and information content and sends them to the receiver.

The invention discloses a method and a system for establishing a steering torque simulation model of a steering wheel. The method comprises the steps that transfer functions of all key parameters are obtained, and the key parameters comprise power-assisted steering, suspension system friction force, suspension system damping force, steering system friction force and steering system damping force; a whole vehicle model and simulation working conditions are established in Carsim, and all key parameters are set as external input in the whole vehicle model; based on the transfer function of each key parameter and the whole vehicle model, establishing an initial joint simulation model in Simlink; and optimizing the initial joint simulation model, and determining a final optimization result of the initial joint simulation model as a steering wheel steering torque simulation model until a steering wheel steering torque result in simulation operation under a simulation working condition meets a set requirement. Through Carsim and Simulink joint simulation, the problem of frictional force and damping force modeling of a suspension system and a steering system is solved, and the steering torque simulation confidence is improved.

The application discloses an automatic driving scene generation method and device and a vehicle, and relates to the technical field of automatic driving scene generation, and in particular to a method for generating a scene by using a world model, a long-tail safe scene, risk attribution analysis, counterfactual reasoning, and multi-objective comprehensive scoring and iterative re-determination screening.

The application discloses a kind of MVR crystallization separator internal flow field numerical simulation regulation and system, it is related to model simulation regulation and control field, the present application is verified by carrying out grid and time step double, and on this basis, carry out multiphase flow simulation regulation and control analysis, respectively for gas-liquid, solid-liquid, gas-liquid solid three different operating conditions are simulated in all directions, can comprehensively cover the complex phase change and material flow state in the actual operation process of device, the operating law of device under different phase state coupling is completely mined.For the defects of one-sidedness of single condition simulation analysis, the whole technical means can accurately locate the potential problems existing in the operation of the device, such as uneven flow, insufficient crystallization efficiency, poor operating condition adaptability, etc., to provide comprehensive and accurate data support for the operating condition optimization, parameter regulation, performance upgrade and stable and efficient operation of MVR crystallization device, effectively improve the crystallization production efficiency and operation stability of the device, reduce equipment energy consumption and failure probability.

The invention provides a Modelica system simulation model parameter identification method based on CVM analysis, and relates to the technical field of system modeling simulation. The CVM analysis-based Modelica system simulation model parameter identification method comprises the following steps: step 1, modeling a speed regulation system mechanism model based on Modelica; 2, analyzing the sensitivity of the mechanism model parameters of the speed regulation system; and step 3, analyzing the parameter sensitivity of the speed regulation system based on the CVM. According to the method, the machine learning method based on data driving is applied to the field of modeling simulation of the complex equipment system, and the electric power system model is continuously verified by using the physical test data of the electric power system to ensure the accuracy of model parameters, so that the simulation confidence of the electric power system is improved; the method can solve the problem of uncertainty of speed regulation system parameters in a power system, improves the accuracy of the model, reduces the difference between the mechanism model and the actual speed regulation system operation state, and better reflects the system characteristics.

The invention belongs to the technical field of pilot bifurcation prediction, and discloses a pilot bifurcation prediction model construction method and application, and the method comprises the steps: obtaining multi-scale discharge data in a pilot discharge process; dividing the pilot development path into a series of space-time fragments along the axial movement direction of the pilot development path based on the multi-scale discharge data, and acquiring multi-dimensional physical characteristics of each space-time fragment, including pilot head injection charge quantity, pilot head background electric field intensity, pilot head deflection angle and voltage change rate, so as to construct a training sample set; training a neural network model by using the training sample set, fusing a physical rule as a trend constraint into training, and when the model converges, taking the model as a pilot bifurcation probability prediction model; according to the method, the limitation that a single threshold criterion depends on experience setting and cannot represent a multi-dimensional physical quantity coupling driving mechanism in traditional simulation can be overcome, and a bifurcation judgment mechanism giving consideration to physical certainty and randomness is provided for pilot discharge simulation.

The invention relates to a multi-satellite cooperative observation capability semi-physical simulation verification system and method, and the method comprises the steps: packaging software (such as multi-satellite on-satellite data fusion software, on-satellite task planning software, on-satellite network routing software and the like) related to the multi-satellite cooperative capability in N types of satellites needing simulation verification through a container technology; a digital prototype of each type of satellites is formed, the expansibility of the number of satellites in simulation can be improved, the cost of simulation verification can be remarkably reduced, and high simulation confidence is reserved; single machines, related to the multi-satellite cooperative capability, on various satellites are connected to a simulation system in the form of physical or digital single machines, and simulation verification is carried out on the multi-satellite cooperative capability under the unified scheduling and management of the simulation system. According to the method, the constellation scale supported by the simulation system for verification can be remarkably improved, and the expansibility of simulation is improved.

This invention provides a method for optimizing the loading of a digital twin model based on heterogeneous positioning data, characterized by comprising: S1) acquiring data; S2) converting the position information into planar coordinates; S3) loading an original 3D model corresponding to the target object type; S4) determining the current partition to which the model instance belongs and adjusting the display orientation of the model instance in the scene; S5) attaching at least one extended collision detection body to the corresponding model instance for at least one type of target object; S6) performing collision detection on the model instances in the digital twin scene; S7) in response to a detected collision, determining the model instance to be moved and applying a displacement to eliminate spatial overlap. This invention also provides a system for optimizing the loading of a digital twin model based on heterogeneous positioning data, comprising: a data acquisition module; a coordinate transformation module; a model generation module; an orientation correction module; a collision body extension module; a collision detection module; and a collision response module.

This invention provides a method for error propagation and control in full three-dimensional performance simulation of an aero-engine, relating to the field of aero-engine performance simulation technology. The method includes the following steps: decomposing the aero-engine into multiple core components along the airflow direction and establishing aerodynamic and thermodynamic coupling simulation models between these components; identifying and quantifying the simulation error sources of each component and defining the simulation error values ​​for each component; constructing an overall engine error propagation network, including sensitivity weights and coupling propagation coefficients; calculating the overall engine cumulative error based on the sensitivity weights and coupling propagation coefficients; and during the full three-dimensional simulation of the entire engine, collecting simulation data of the outlet airflow parameters of each component, comparing the simulation data with experimental data, and iteratively correcting the simulation models of each component and the overall engine cumulative error based on the comparison results. This invention improves the overall engine simulation accuracy, ultimately reducing the overall engine simulation error to within 2.5%, thus enhancing the engineering reliability of the simulation results.