14results about How to "High simulation accuracy" patented technology

The invention discloses a face key point detection network training method, a face key point detection method and a medium, and belongs to the technical field of face key point detection, and the method comprises the steps: obtaining a face image data set; in the face image data set, each sample is a face image marked with key point coordinates; for each sample in the face image data set, key points in the sample are divided into boundary endpoints and boundary internal points, and coordinates of the key points are converted to a heat map coordinate system; under the heat map coordinate system, generating a true value heat map for each boundary endpoint by adopting isotropic Gaussian distribution, generating a true value heat map for each boundary internal point by adopting anisotropic Gaussian distribution, and forming a training data set by the face image and the true value heat map of each key point in the face image; and training a face key point detection network used for predicting a heat map of each key point in the face image by using the training data set to obtain a trained face key point detection network. According to the invention, the detection precision of the face key points can be effectively improved.

The application discloses a novel power system dynamic simulation method and system based on an improved inverter model, relates to the technical field of novel power system stability analysis, and comprises the following steps: acquiring power system topology information, a control type of an inverter installed in the power system and an installation node, and constructing a node admittance matrix of an alternating current side system; according to the control type of the inverter, adding an adaptive bus model to the installation node of the inverter, and constructing an inverter state space model containing complete control links; performing power flow calculation on the alternating current side system by adopting a Newton-Raphson polar coordinate method, and taking the power flow calculation result as an initial value of electromechanical transient simulation calculation; respectively setting time domain simulation calculation methods of the alternating current side system electromechanical transient and the inverter side model, unifying simulation time and a step length, performing cyclic iteration solving of the alternating current side system and the inverter side model based on the initial value, and outputting a high-precision dynamic simulation calculation result of key parameters of the inverter until the simulation time ends.

The application discloses a kind of civil engineering seismic test equipment, it is related to seismic test equipment technical field.The present application includes test table, the bottom of test table is fixedly installed with driving motor, the output end of driving motor is fixedly installed with first gear through test table, both sides of first gear are engaged with second gear, the top of two second gears is fixedly installed with incomplete gear, incomplete gear is engaged with rack, rack is slidingly connected on test table, rack top is fixedly installed with positioning plate frame, positioning plate frame is fixedly installed with hollow column in the inside.The present application drives gear set by driving motor, makes rack horizontal multidirectional reciprocating motion, drives positioning plate frame to let installation platform generate multidirectional motion trend.Simultaneously, the vibration motor under installation platform is started, and its vibration direction is random or preset, and is superimposed with installation platform motion, so that test device is stimulated by complex vibration, is closer to earthquake actuality, improves simulation accuracy, and is beneficial to the research of civil engineering structure performance.

This application provides a BSIM-IMG noise model optimization method and apparatus, applied in the field of device parameter extraction and modeling technology. It includes: adding channel back interface parameters and carrier distribution parameters of an FDSOI MOSFET device. The channel back interface parameters include NOIA2, NOIB2, NOIC2, and interface trap parameters, while the carrier distribution parameters include the peak value of the carrier distribution. The BSIM-IMG noise model is then optimized based on these parameters to obtain an optimized BSIM-IMG noise model. Thus, the back-gate voltage affects the channel back interface parameters and carrier distribution parameters, which in turn affect the magnitude of the 1 / f noise. Optimizing the BSIM-IMG noise model based on these parameters, i.e., introducing the influence of the back-gate voltage on the noise of the channel back interface and carrier distribution, and fully considering the impact of the back-gate voltage on the 1 / f noise, improves the simulation accuracy of the optimized BSIM-IMG noise model, accurately reflecting the influence of the back-gate voltage on the noise.

The application discloses a lithium ion battery internal short circuit fault simulation method, comprising the following steps: S1, establishing a lithium ion battery single particle lumped parameter estimation model, and estimating the dynamics and transfer attribute parameters of a lithium ion battery to be simulated by using a control equation; S2, constructing an electrochemical-thermal coupling 3D model and setting a control equation thereof; S3, substituting the dynamics and transfer attribute parameters of the simulated lithium ion battery into the constructed electrochemical-thermal coupling 3D model, simulating the electrothermal behavior of the lithium ion battery under different fault types based on the control equation, and realizing internal short circuit fault simulation. The application solves the defects of the existing fault simulation scheme in simulation accuracy, calculation rapidity and application universality, establishes an internal short circuit fault electrochemical-thermal coupling 3D model, and provides simulation data basis for an internal short circuit fault detection method.

The present application relates to the technical field of simulation sandbox, and particularly relates to a simulation sandbox data base construction method and device, wherein the method constructs compatible domain object models in the localization BIM forward design stage; according to unstructured drawings, localization BIM models and other data types, SHP data, geometric feature data and structured topology data are extracted or generated; simulation element data is obtained through field-level direct mapping, SHP data is converted twice and coordinates are unified, and then geometric feature completion, line segment merging and topology reconstruction are performed, object construction and labeling are completed based on the simulation element data, and simulation sandbox data base is obtained. The present application solves the problems of low construction efficiency, poor compatibility and insufficient geometric accuracy, realizes standardized data processing and efficient construction, can be directly loaded into a simulation sandbox, is suitable for airport and other scenes, and improves simulation accuracy and reliability.

In the transformer inter-turn short circuit fault tracing method, storage medium and computer device provided in the application, an actual port current waveform when the transformer occurs an inter-turn short circuit fault is obtained; a plurality of estimated short circuit reasons of the transformer sent by a transformer user are received; a transformer finite element model is constructed, the transformer finite element model comprising a winding, the winding comprising a short circuit part and a non-short circuit part; for each estimated short circuit reason, the short circuit part and the non-short circuit part of the winding in the transformer finite element model are modeled in sections according to the estimated short circuit reason, the transformer finite element model after the modeling in sections is used to simulate the estimated short circuit reason, and a simulation port current waveform of each estimated short circuit reason is obtained; a cross-correlation coefficient of the actual port current waveform and the simulation port current waveform of each estimated short circuit reason is calculated, and an inter-turn short circuit fault reason of the transformer is determined according to each cross-correlation coefficient. In this way, the artificial detection cost can be reduced and the finite element model simulation time can be reduced.

The invention belongs to the technical field of oil and gas field development, and provides a model library construction method based on digital twin injection-production engineering. Comprising the steps of integrating an injection-production engineering physical entity model, reconstructing a physical three-dimensional model of a physical entity, defining attributes of the physical three-dimensional model, embedding a formula algorithm, developing an interface, realizing data interaction and visual modeling, and displaying a production state. Boundary conditions are defined based on the physical three-dimensional model, simulation software is imported to form a simulation model, the accuracy of the simulation model is verified through comparison with actual data, and an interface is constructed for a user to operate and test the injection-production process; packaging to form a directly called engineering application component, a feature engineering component and a tool component supporting knowledge reuse; and integrating a plurality of injection-production engineering optimization algorithms by utilizing an algorithm interface, and constructing a water injection optimization and oil production quantity dynamic regulation and control model in combination with empirical rules and optimal practices of an injection-production process. According to the invention, an injection-production engineering digital twinborn model library which can realize efficient modeling, accurate simulation and optimization and a flexible and extensible system is established.

The invention discloses a dynamic process chain simulation method and system for coal mine tunneling operation, and relates to the technical field of intelligent simulation, and the method comprises the steps: setting a plurality of knowledge semantic fusion rules; dividing the dynamic process chain to obtain a plurality of dynamic process components; extracting a plurality of groups of simulation data source sets corresponding to the plurality of dynamic process components, and analyzing a plurality of groups of simulation related feature vector sets; predicting a plurality of simulation error indexes corresponding to each dynamic process component according to the plurality of groups of simulation related feature vector sets, and outputting a plurality of matched knowledge semantic fusion rules corresponding to the plurality of dynamic process components; and performing simulation knowledge semantic fusion on the plurality of groups of simulation data source sets according to the plurality of matched knowledge semantic fusion rules to obtain a plurality of simulation fusion data sets, and determining a process chain simulation model of the dynamic process chain. The technical problem of low dynamic process chain simulation precision in the prior art is solved, and the technical effect of improving the dynamic process chain simulation accuracy is achieved.

The invention discloses a system performance simulation verification method based on information data analysis, and relates to the technical field of system performance testing and simulation. The system performance simulation verification method based on information data analysis comprises the six steps of information data collection, preprocessing, simulation model construction, model calibration, performance simulation verification and result analysis, the real-time collection and historical data are combined, a high-precision simulation model is constructed, performance verification is carried out in various load scenes, and the system performance simulation verification efficiency is improved. And finally generating a verification report containing performance bottleneck diagnosis and optimization suggestions. According to the system performance simulation verification method based on information data analysis, the accuracy and comprehensiveness of system performance simulation can be effectively improved, the actual test cost is reduced, and a scientific basis is provided for system optimization.

The invention provides a sequential circuit hybrid fault simulation method, which is used for simulating a sequential circuit fault coverage rate by injecting a fault point into a sequential circuit, and comprises the following steps: S1, obtaining a to-be-simulated circuit netlist, identifying a strong connection component in the to-be-simulated circuit netlist, and marking the strong connection component meeting a preset small-scale strong connection loop constraint condition; s2, performing simulation of multiple periods on the marked circuit netlist to be simulated, and executing in each simulation period: S21, performing code compilation on the marked strong communication components so as to fuse each marked strong communication component into a compilation node, performing compilation type simulation on each compilation node until the state converges, and performing simulation on the compilation node until the state converges; the topology is updated, and the output of each compiling node is used as an event to be transmitted to other areas in the circuit netlist; and S22, taking other areas except the compiling node as event driving nodes, simulating residual circuits in an event scheduling mode, and updating the state of the circuits.

The application relates to the technical field of new energy resource simulation, and discloses a wind resource dynamic downscaling method based on a global stretching grid mode, which introduces grid stretching transformation in an initial global mode framework adopting an original cubic spherical uniform grid, realizes gradual grid encryption of spatial resolution in an arbitrary target region while keeping smoothness and physical consistency in a numerical calculation process, and realizes seamless transition from large-scale driving data to a local high-precision wind resource field while retaining large-scale meteorological information. Meanwhile, the short-time strong gust and extreme wind speed event simulation capability is improved by embedding a theoretical gust wind speed calculation module in the global stretching grid mode. Further, the target global stretching grid mode is used for downscaling processing of wind resources of a target region to be downscaled, so that seamless transition from large scale to a local high-precision wind resource field is realized.

This application provides a method and apparatus for constructing and simulating a MOSFET current simulation model, which is used to simulate multi-gate finger MOSFETs. The method for constructing the MOSFET simulation model includes: acquiring drain current measurements of multiple test MOSFETs with different gate finger values ​​under a test voltage; calculating the intrinsic current of each test MOSFET under the test voltage based on the test voltage and drain current measurements; adjusting the target simulation parameters in the MOSFET simulation model based on the intrinsic current; and obtaining the intrinsic simulation model of the target MOSFET when the error between the simulated intrinsic current output by the MOSFET simulation model and the intrinsic current falls within a specified error range under the test voltage. This application improves the accuracy of the MOSFET simulation model in simulating the current of multi-gate finger MOSFETs.

The application discloses an aircraft simulation flight guiding calculation method, and specifically comprises the following steps: initializing an FGCS system according to performance parameters of an aircraft and a flight plan; receiving and executing instruction information of a control unit; obtaining and executing instruction information of different stages issued by the control unit according to different stages of the aircraft; updating a time driving frame; obtaining a time difference deltaTime between two frames through time frame driving, and then calculating and outputting effective flight parameters to guide the aircraft to fly according to a current flight state of the aircraft; stopping; and clearing a cache of the FGCS system and logging off. The application provides a feasible scheme for simulating aircraft flight by providing the aircraft simulation flight guiding calculation method.