19results about How to "Simplify the modeling process" patented technology

A converter station AC filter group circuit breaker abnormal arcing modeling analysis method comprises the following steps: firstly, carrying out time mark alignment, amplitude calibration and filtering de-noising on wave recording signals such as AC bus voltage and filter branch current to obtain high-quality input data; then, combining a primary wiring diagram, enabling an alternating current system to be equivalent to an ideal power supply and series impedance, enabling circuit breaker arcing to be equivalent to arc resistance changing along with time, and constructing an equivalent circuit model comprising the power supply, the impedance, a capacitor, an electric reactor and dynamic arc resistance; establishing a state space equation according to a voltage and current constraint relation, and performing time domain solution by adopting a two-step two-order or three-order diagonal implicit Runge-Kutta method to obtain voltage and current responses of the whole process of the fault; on this basis, the arc resistance change is inversed according to the ratio of arc voltage to current, the current zero passage is identified through the resistance symbol change at adjacent moments, and the zero passage section is smoothed; and finally, the inversion result is verified again by means of the simplified equivalent model.

The invention provides a high-reliability power supply mode selection method for a power distribution network. The method comprises the following steps: establishing a quantitative evaluation index system comprising a grid structure, an equipment level, technical application and management capability dimensions; for each power supply wiring mode, an improved success flow method is adopted to calculate a reliability quantitative index of the power supply wiring mode according to a topological structure, a grid structure and equipment level parameters of the power supply wiring mode; meanwhile, based on the index system, the economic quantitative index of the power supply wiring mode is calculated by adopting a full life cycle cost method; extracting a forward index and a reverse index based on the reliability quantitative index and the economical efficiency quantitative index; constructing an improved CCR model of a data envelope analysis method, and taking the reverse index as input and the forward index as output to obtain a quantitative efficiency index; and calculating a comprehensive recommendation coefficient according to the quantitative efficiency index, and taking the power supply wiring mode with the highest comprehensive recommendation coefficient as an optimal power supply wiring mode. According to the method provided by the invention, the reliability and economy are integrated, and the optimal power supply mode is quantitatively recommended.

A method for generating typical watershed hydro-wind-solar hybrid scenarios based on an improved C-vine Copula model is proposed. First, based on long-term multi-energy complementarity requirements, multi-year runoff data from a power station and power output data from wind and solar power stations within the watershed are selected, outliers are removed, and missing values ​​are filled, completing data preprocessing. Next, runoff and wind / solar output are set as random variables, and nonparametric kernel density estimation is used to obtain the marginal distribution functions of each variable. Then, the improved C-vine Copula model is used to accurately characterize the spatiotemporal correlation between water, wind, and solar resources, deriving the joint probability distribution. Then, Latin hypercube sampling is used to collect uniformly random samples stratified, and K-means clustering is used to generate typical scenarios. Finally, the effectiveness of the scenarios is evaluated from the perspectives of temporal and spatial correlation and randomness. This technology can effectively address the randomness and complexity of water, wind, and solar resources, generating realistic typical scenarios, providing valuable reference for the planning and scheduling of watershed hydro-wind-solar hybrid systems.

This invention discloses a parametric design method for server racks, comprising: decomposing parameters based on an existing standard rack model to obtain the parameters required for building the rack model; dividing the required parameters into three groups: a total dimension parameter group, a dependent variable parameter group, and a default value parameter group; the total dimension parameter group and the server dimension parameters together form the independent variable parameter group; mapping and associating the dependent variable parameter group with the independent variable parameter group to obtain the calculation relationship between the dependent variable parameter group and the independent variable parameter group; and generating a three-dimensional model of the rack using software based on the parameter values ​​of the obtained default value parameter group, total dimension parameter group, and dependent variable parameter group. This invention simplifies the rack modeling process, saves manpower, and improves work efficiency.

The utility model discloses a parallel tail end multi-degree-of-freedom mechanical arm which comprises two groups of branch chains which are symmetrically arranged and fixed at two ends of a platform, each group of branch chains comprises a base, a first motor and a second motor are respectively arranged on two sides of the base, the first motor is connected with a first short connecting rod through a rocker arm, and the second motor is connected with a middle supporting piece. One end of the supporting piece is hung below the base through a support, the other end of the supporting piece is movably connected with the middle of the first long connecting rod, one end of the first long connecting rod is connected with the first short connecting rod, and the other end of the first long connecting rod is movably connected with the tail end platform. The other end of the second long connecting rod is movably connected with the tail end platform. According to the mechanical arm, the multi-degree-of-freedom parallel mechanical arm of the end effector can be achieved, and the problems that an existing parallel mechanical arm is complex in structure and high in control coupling degree, the degree of freedom of the end effector is limited, and installation and maintenance are difficult are solved.

The invention relates to the technical field of electrolytic copper foil production equipment, and discloses a tension roller tension calibration method and device and a crude foil engine, and the tension roller tension calibration method comprises the following steps: calibrating a torque-pressure conversion coefficient k; tension at the two ends of the tension roller is obtained, and the tension difference is calculated; according to the torque-pressure conversion coefficient k, the tension difference value is converted into the equivalent pressure difference needed by the two ends of the tension roller; according to the equivalent pressure difference, corresponding torque is applied to the two ends of the tension roller till the tension difference value is reduced to be within the threshold value, and balance tension calibration is achieved. By determining the torque-pressure conversion coefficient k, the torque of the driving assembly can be accurately converted into the pressure at the two ends of the tension roller, the corresponding pressure is applied to the two ends of the tension roller, and the tension difference value is reduced to be within the threshold value, so that the problem of imbalance of the two ends of the tension roller is accurately solved, copper foil wrinkling during equipment operation is avoided, and the product yield is increased; additional bending moment of the tension roller is eliminated, bearing abrasion is reduced, and the maintenance period is prolonged.

A method for evaluating common-cause failures of software in a digital instrumentation and control system of a nuclear power plant is disclosed. The instrumentation and control system includes at least two instrumentation and control platforms. The evaluation method includes the following steps: obtaining modeling input; calculating the probability of basic events used for modeling based on the modeling input; establishing a fault tree, which includes basic events; and using the fault tree and the probability of basic events to analyze the failure probability of the digital instrumentation and control system. For any instrumentation and control platform, the basic events include: inter-platform common-cause failure basic events, which are basic events of common-cause failures occurring between this instrumentation and control platform and other instrumentation and control platforms; and intra-platform common-cause failure basic events, which are basic events of common-cause failures occurring within this instrumentation and control platform. Inter-platform common-cause failure basic events and intra-platform common-cause failure basic events are mutually exclusive events.

The embodiment of the application provides a heterogeneous robot cooperation method, which is used for providing a modeling fast robot planning and control problem solution, comprising: training heterogeneous multiple groups of robots to cooperate by using a machine learning method, in the training process, the same group of robots share machine learning training parameters, and the same group of robots perform the same task; at least two robots in the heterogeneous multiple groups of robots satisfy: belonging to the same group of robots, and being heterogeneous robots with different performance parameters. Training the heterogeneous multiple groups of robots by using the machine learning method enables the heterogeneous multiple groups of robots to cooperate, compared with a solution of programming and modeling each group of robots one by one, the modeling process is simple, and a large amount of time is saved. Using the machine learning allows the existence of heterogeneity between different groups of robots performing different tasks, while allowing the existence of heterogeneity within the same group of robots performing the same task, so that the compatibility is better, and more complex tasks and environments can be coped with.

The application provides a non-load-bearing vehicle body frame torsional strength analysis method and system, which comprises the following steps: constructing a finite element model of a frame of a measured vehicle type based on a three-dimensional model of the vehicle type, performing simulation analysis on the finite element model, and obtaining unit torsional angle stress data of the frame; obtaining torsional angle combination spectrum data of a frame rear cross beam on a combined road surface according to a real vehicle road test; grouping parts of the frame according to material properties, matching the torsional angle combination spectrum data with the finite element model of the frame to simulate a frame fatigue test; and calculating fatigue damage values of each part of the frame according to the unit torsional angle stress data of the frame and the torsional angle combination spectrum data, until it is determined that any part fails according to the fatigue damage values. The application can preliminarily verify the torsional strength of the frame in the early stage of design and development, has high test accuracy, provides a reliable basis for frame development, shortens the test cycle and cost, and improves the research and development efficiency.

The invention provides a mainboard assembly stress simulation modeling method, electronic equipment and a program product, which can be used in the technical field of simulation modeling. The method comprises the steps of selecting a target component of a mainboard three-dimensional model in response to a component selection operation of a user; wherein the target component comprises a mainboard, a chip and a bonding pad silk-screen line; chip soldering tin is determined based on the bonding pad silk-screen lines, grid division is carried out on the chip soldering tin, and chip soldering tin grids are obtained; performing grid division on the mainboard to obtain a mainboard grid; determining a chip main body of the chip based on the soldering tin thickness of the chip soldering tin, and performing grid division on the chip main body to obtain a chip grid; and based on the constraint relationship among the target components, establishing a binding connection relationship among the grids of the target components, and obtaining a stress simulation model. According to the method, the accuracy and modeling efficiency of stress simulation modeling of the mainboard assembly are remarkably improved.

This invention relates to the field of aero-engine technology and discloses a Simpack-based method for analyzing the misalignment vibration of aero-engine blades with bosses. While ensuring analytical accuracy, it improves computational efficiency by simplifying the modeling process and establishes a clear mapping relationship between parameters and responses, thus providing reliable technical support for vibration control of aero-engine bladed disk systems. The method includes the following steps: establishing finite element modal analysis models of all boss blades and disks, and performing free modal calculations; using Simpack modal condensation to establish blade-disk reduced flexible body models of all boss blades and disks, and then assembling them to form a complete blade-disk coupled dynamic analysis model of the aero-engine; subsequently, simulating the frictional vibration reduction effect between boss blades by establishing pre-compressed spring damping units or custom nonlinear spring units between the bosses of adjacent boss blades; and simulating the interference fit relationship between bosses by using the spring pre-compression amount.

This invention discloses a method, apparatus, and medium for simulating a static var generator (SVA). The method includes: constructing a constant voltage control model, a constant reactive power control model, a fault ride-through control model, a grid disconnection protection model, and a mode switching control model; constructing a SVA simulation model based on these models; and outputting reactive current to the grid equipment according to the specified voltage or reactive power control target and input control parameters, based on the SVA simulation model, wherein the grid equipment operates stably based on the reactive current.

A parametric modeling method for turbine components includes: Step S01: Importing turbine model parameters or creating new model parameters; Step S02: Obtaining the underlying formatted data of the turbine casing, seat ring, movable guide vanes, runner, and draft tube to be modeled; Step S03: Importing the formatted data of the corresponding components obtained in S0 and S02 into the corresponding modeling tabs; Step S04: Inputting the corresponding parameters according to the different component modeling tab interfaces, and then executing the corresponding component model generation command. The program uses encapsulated embedded logic to process the imported formatted data and, combined with the component feature parameters input in Step S03, generates the modeled component entity. The embedded logic includes one or a combination of the following technical solutions: creating arc surfaces by traversing arrays, generating spline curves from arrays, multi-section lofting, traversing array evaluation, scaling ratio linear interpolation, approximate conformal transformation mapping, circular array, sweeping, stretching, rotation, and vector movement.

The invention belongs to the technical field of high-frequency transformer simulation, and discloses a high-frequency transformer electric field, magnetic field, temperature field and force field analysis method and simulation device. Comprising the steps of obtaining a high-frequency transformer electromagnetic structure and establishing a three-dimensional high-frequency transformer prototype model; segmenting the three-dimensional high-frequency transformer prototype model into basic units and determining information of each basic unit; performing calculation based on the basic unit information to obtain static field and magnetic field finite element calculation results of the high-frequency transformer; calculating to obtain a temperature-fluid field and force field finite element calculation result of the high-frequency transformer; and setting boundary conditions of a temperature field and a force field based on finite element calculation results of the temperature-fluid field and the force field of the high-frequency transformer, and carrying out iterative solution on the electromagnetic-thermal-fluid-force field by using a solver to obtain distribution of an electric field, a magnetic field, the temperature field and the force field of the whole high-frequency transformer. Reference is provided for calculation of the electric field, the magnetic field, the temperature field and the force field of the high-frequency transformer.

This invention discloses a method for 3D environmental feature extraction and electromagnetic propagation path modeling based on neural networks, belonging to the field of channel modeling technology. The method includes: S1: acquiring wireless channel data of the target scene and corresponding 3D spatial point cloud environmental data; S2: obtaining a physical environment feature dataset for neural network training; S3: constructing a 3D environmental feature extraction model to generate implicit environmental feature representations reflecting the relationship between environmental spatial distribution and material properties; S4: constructing an electromagnetic propagation direction prediction model and a power prediction model to predict the step-by-step evolution of the electromagnetic propagation path and output electromagnetic propagation path-level characteristics. This invention solves the problems of complex and inefficient existing modeling processes, difficulty in directly utilizing measured point cloud data, and difficulty in efficiently generating multipath propagation paths. This invention improves modeling efficiency and reduces labor costs, enabling direct modeling of point cloud geometry and material properties while reducing the computational complexity of multipath path inference.

The invention discloses a stopper bracket and mounting part simulation method, device and equipment and a medium. The acting force of different gears in the opening and closing process of a vehicle door is converted into the target acting force at the mounting point of the stopper bracket; establishing a simplified finite element simulation model only comprising a local body-in-white and a limiter bracket based on the body-in-white data, carrying out working condition boundary constraint, and subsequently applying the target acting force to a preset position of the limiter bracket along the angle direction of a corresponding gear to generate a simulation calculation result file; inputting a simulation calculation result file into fatigue analysis software, establishing a targeted fatigue damage analysis process, and setting a reasonable cycle condition and cycle times, so that the fatigue durability simulation of the limiter bracket and the mounting part can be completed only on the basis of basic body-in-white data and design parameters in the initial stage of the research and development stage; the problems that an existing simulation process is tedious, the modeling period is long, and rapid simulation cannot be carried out in the initial stage of research and development due to dependence on complete data are effectively avoided.

This application discloses an electromagnetic environment simulation modeling method, apparatus, device, medium, and product, relating to the field of simulation modeling. The method includes: obtaining simulation modeling requirements; extracting target waveform data from a standardized waveform database based on the simulation modeling requirements, wherein the standardized waveform database includes waveform data of various electromagnetic environment waveforms; determining a target description file based on the target waveform data and simulation setting parameters, wherein the simulation setting parameters are included in the simulation modeling requirements; and determining an executable file based on the target description file and simulation modeling requirements, wherein the executable file is used to instruct target simulation software to generate an electromagnetic environment model. This application solves the technical problems of inconsistent modeling methods and cumbersome modeling processes in existing electromagnetic environment simulation modeling methods.

The invention discloses a simplified analysis method for pile-soil interaction of a large-diameter single-pile foundation, which belongs to the technical field of offshore wind power and comprises the following steps: S1, acquiring soil mechanics of a seabed foundation in a target area and pile body parameters of the large-diameter single-pile foundation; s2, calculating a soil stress-strain curve at the reference depth; s3, the rigidity type of the large-diameter single-pile foundation is judged according to the pile-soil relative rigidity; s4, for the rigid or semi-rigid single pile foundation, determining the position of a base rotation point and the corresponding effective action length of the base; s5, on the basis of the stress-strain curve and the soil body strength parameters at the rotating points, calculating the ultimate resistance bending moment at the rotating points; s6, performing scaling processing on the stress-strain curve, and constructing a substrate rotation nonlinear spring model at a rotation point; and S7, coupling the base rotation nonlinear spring model with the pile side soil counter-force model to realize the prediction of the horizontal bearing capacity of the large-diameter single pile foundation. The prediction precision of the horizontal bearing capacity of the single pile can be improved.

The invention discloses a papermaking process carbon footprint prediction method based on two-stage machine learning, and belongs to the technical field of industrial environmental protection and machine learning crossing. Aiming at the problems that the conventional life cycle evaluation is difficult to process multivariable nonlinear coupling of the papermaking process, the prediction precision is insufficient and the interpretability is weak, the method comprises the following steps of: constructing a feature data set covering a full life cycle link and preprocessing the feature data set; training by adopting a random forest algorithm to obtain an initial prediction model and outputting a prediction result; calculating a prediction residual error; training an XGBoost model based on the residual error and the original features to construct a residual error prediction model; and superposing prediction results of the two models to obtain a final carbon footprint prediction value. According to the method, the prediction precision and the model interpretability of the high emission interval are remarkably improved, and the method is suitable for carbon emission accounting and process optimization in the papermaking industry.