264results about "Design optimisation/simulation" patented technology

A system and method of exposing debugging information in a graphical modeling and execution environment is disclosed. The present invention allows a user to view debugging information in the same window as the graphical view of the model being executed. Debugging data is associated with relevant components of the model displayed in the graphical view. A separate execution list view shows the methods called during the execution of the block diagram in the current time step up until the current point in execution. User-set breakpoints and conditional breakpoints may be set in both the model view and the execution list view. Values may be obtained for all of the displayed methods. The debugging tool may be implemented by using it in conjunction with a graphical modeling and execution environment, such as a block diagram environment or state diagram environment.

The invention belongs to numerical simulation of discharge of a Tokamak device in the field of magnetic confinement controlled nuclear fusion, and relates to a simulation method for controlling a newclassic tearing mode through resonance magnetic disturbance in Tokamak. According to the current data in the Tokamak upper coil assembly, the Biot-Savart law is used for solving an induced magnetic field; integrating is performed to obtain an expression of a polar magnetic flux corresponding to the induced magnetic field according to approximation of a large ring diameter ratio; a Fourier transform pseudo-spectrum method is utilized to transform magnetic flux into components of different moduli to obtain three-dimensional distribution of the components in a tokamak median form, the three-dimensional distribution is coupled into a magnetofluid equation, and the Crank-Nicosolson method is utilized to solve the evolution of the magnetic field with the resonance magnetic disturbance along with time, so that the influence of the magnetic field on the new classical tearing mode is studied. The method can simulate the physical processes of new classic mode locking, inhibition, field penetration and the like of the tearing mode, is high in calculation efficiency and relatively good in numerical stability, and is an efficient numerical method capable of accurately simulating an experiment.

The invention discloses a crowd behavior simulation method and a crowd behavior simulation system guided by a safety evacuation mark. The method comprises the following steps of: creating a three-dimensional building model of a scene to be simulated; determining the quantity and the position of the exit corresponding to the scene to be simulated in the three-dimensional building model; marking thelocation of safety evacuation signs corresponding to the scene to be simulated in the three-dimensional building model; according to the number of exits, the location of exits and the location of safety evacuation signs, the road markers in the three-dimensional building model being set in advance, and then PRM algorithm being used to generate all the available evacuation paths, and the paths inthe planning direction of safety exit being marked as one-way paths, paths beyond the planning direction of the safe exit being marked as one-way paths to the outbound exit; importing characteristic data of initializing evacuation crowd; a Dijkstra algorithm being used to find the shortest escape path from the one-way path for the evacuated individuals; in the process of crowd evacuation, an RVO obstacle avoidance strategy being used to simulate crowd evacuation.

The invention is suitable for the technical field of ice shape prediction, and provides a deep belief network-based airfoil profile icing ice shape prediction method and device. The method comprises the following steps: constructing and training a Fourier coefficient deep belief network model and an upper and lower limit deep belief network model in advance; performing data normalization on the icing condition to be predicted to obtain a normalized icing condition; inputting the normalized icing condition into the Fourier coefficient depth confidence network model and the upper and lower limitdepth confidence network model; substituting ai, bi, xiu and xil into an ice-shaped curve Fourier series expansion formula to obtain a wing-shaped icing ice-shaped curve; the Fourier coefficient deepbelief network model and the upper and lower limit deep belief network model are composed of a plurality of restricted Boltzmann machines and a BP neural network layer. According to the method, the network training time is greatly reduced, the network prediction precision is improved, and the technical problems that gradient disappearance and local minimization are likely to happen to a pure BP neural network are solved.

The invention discloses a fault diagnosis method and system for a large phase modifier. The diagnosis method comprises the steps of obtaining the temperature, vibration, noise and electric parameter information of a diagnosed large phase modifier and forming an input vector; inputting the input vector into a trained machine learning classification model, and obtaining the fault state of the diagnosed large phase modifier, wherein the machine learning classification model comprises a mapping relation between the input vector and the fault state after being trained, and the system comprises thesystem corresponding to the method. The problems that the large phase modifier is large in size and complex in structure and comprises multiple parts are solved, the temperature, vibration, noise, electric parameters and the like can be synthesized to diagnose and analyze the equipment information of the phase modifier, the method and system have the advantage that the diagnosing structure is accurate and comprehensive, and faults of the large phase modifier can be found in time so that corresponding measures can be adopted.

The invention relates to a downhole working condition diagnosis method for a sucker rod pumping well based on valve working points. The method comprises: acquiring K+1 sucker rod pumping unit ground dynamometer cards, the first K dynamometer cards being corresponding to N kinds of working conditions, and the last one being a dynamometer card of a to-be-diagnosed working condition; performing normalization processing on the dynamometer card; using a gravity center division method to divide the normalized dynamometer cards into an upper left region, an upper right region, a lower right region, and a lower left region; extracting four working points of valve and seven geometric characteristics of the ground dynamometer cards; using the seven geometric characteristics of the sucker rod pumping well ground dynamometer cards as input, establishing a continuous hidden Markov working condition diagnosis model, describing mapping relations of working points and dynamometer card characteristics and downhole working conditions of the sucker rod pumping well, to realize working condition diagnosis. The method can comprehensively and accurately show characteristics of various downhole working conditions, and a working condition real-time diagnosis model is established by using the characteristics, so that production safety and high efficiency of sucker rod pumping well are improved.

The invention discloses an aero-engine turbine blade reliability evaluation method based on fracture mechanics. The method comprises the following steps: S1, establishing a simplified model of a bladesection by taking a turbine blade as a research object, calculating a stress intensity factor of the turbine blade containing an initial I-type crack at a blade root by applying a finite element method, substituting the stress intensity factor into a shape factor calculation formula, and determining a shape factor parameter; S2, establishing a turbine blade reliability model based on the generalized stress intensity interference model; and S3, establishing a probability density function of load and fracture toughness, establishing a probability life model and a reliability model for the bladein combination with a Paris formula, and solving the model to obtain the change condition of the reliability of the turbine blade along with the life. According to the method, initial defects existing in the blade are considered, on the basis of the initial defects, the crack propagation life of the I-shaped cracks on the surface of the blade under the cyclic load is established, and life prediction and reliability evaluation of the blade can be more accurate.

The invention discloses an online damage early-warning method of a modular expansion joint of a cable-supported bridge. An overall finite-element model of a beam end is established; a mathematical relevance model of main-beam mid-span deflection and support-beam strain and a mathematical relevance model of a vehicle load and center-beam strain are established according to the finite-element model;a vertical deflection sensor is arranged in a main beam span of the bridge to obtain a daily maximum value of main-beam vertical-deflection, and daily total weight of the vehicle load is obtained byvehicle load information collected by toll stations; and daily support-beam strain and daily center-beam strain are calculated on the basis of the relevance models and the actually measured main-beammid-span deflection and vehicle load, and thus damage early-warning and analysis of a support beam and a center beam of the modular expansion joint are carried out online. According to the method, theproblem of real-time analysis and early-warning of damage between the support beam and the center beam of the expansion joint of the bridge is solved, and protection of the bridge damage and improvement of safety are facilitated.

The invention provides a partitioned simulation method for a nuclear power unit condenser. The method comprises the steps of (1), partitioning simulation objects, wherein the simulation objects comprise general condensers and shared condensers, and partitioning comprises uniform partitioning and non-uniform partitioning; (2), inputting structure sizes, physical properties, boundary parameters and calculation initial values of the condensers; (3), carrying out thermal-transfer calculation on one-to-one correspondence partitions at a shell side and a pipe side; (4), carrying out thermal parameter calculation; and (5), outputting a simulation result. Compared with an actual device, the simulation model established by the method has the advantages that the output data under steady state and transient state condition can satisfy a device simulation precision demand, and the operation characteristic research can be carried out through utilization of the simulation method.

The invention discloses a two-stage parameter calibration method for highway traffic safety simulation analysis. The method comprises the steps of 10) acquiring real-time traffic flow data, road design data and weather data of a highway; 20) building a real-time accident risk prediction model and a VISSIM simulation model; 30) performing first-stage parameter calibration: calibrating parameters remarkably influencing a simulated vehicle speed change; 40) performing second-stage parameter calibration: calibrating parameters remarkably influencing a simulated real-time accident risk value; and 50) if the speed and real-time accident risk of the VISSIM simulation model reach simulation precision, indicating that the calibration is finished, otherwise, calibrating excluded parameters in the two calibration steps to improve the simulation precision. According to the two-stage parameter calibration method for the VISSIM simulation model, provided by the invention, the accident risk value is further simulated on the basis of reproducing temporal and spatial variation of traffic flow, so that the VISSIM simulation can be enabled to directly evaluate a traffic accident risk.

The invention discloses a wind turbine aerodynamic-designing method considering static and dynamic influence of designed tip speed ratio on a wind wheel. The method uses a wind turbine closed loop performance index-average wind energy capture efficiency as a target function, the originally designed tip speed ratio, chord length and torsional angle separation optimizing process is improved into united optimization, so that wind-turbine aerodynamic design originally ignoring Maximum Power Point Tracking (MPPT) control dynamic can consider the shortcomings of tracking performance, and accordingly the static aerodynamic performance and tracking dynamic process of a wind turbine are coordinated. The method can effectively improve the wind energy capture efficiency of a variable-speed fan at turbulent-flow wind speed.

A method for multi-objective optimization of powertrain mount system is disclosed. The method comprises the following steps of: establishing a dynamic model of a powertrain mounting system; The vibration differential equation of the system is established based on the basis; By solving the vibration differential equation, the energy of the system is decoupled, and the frequency response characteristic functions of the center of mass displacement and the rotation angle of the system and the dynamic reaction force of the suspension are obtained. Taking mounting stiffness and mounting angle as optimal design variables, Taking the natural frequency and other variables as constraints, establishing A multi-objective function model with the objective of maximizing the energy decoupling rate in thevertical direction and the crankshaft direction, minimizing the center of mass displacement and rotation angle of the system when the center of mass of the system is loaded with a unit torque load, and minimizing the center of mass displacement and rotation angle of the system when the center of mass of the system is loaded with a unit displacement load. The invention considers the influence of the displacement load on the NVH performance of the whole vehicle, and increases the mounting angle as an optimization variable, so that a better optimization scheme can be obtained.

Aiming at the problem that single interception equipment of a current anti-unmanned aerial vehicle system cannot effectively suppress unmanned aerial vehicles in temporary task allocation, the invention discloses an anti-unmanned aerial vehicle task allocation method based on reinforcement learning. The method comprises the following steps: initializing an improved DQN algorithm which refers to predicting a Q value by adopting a state at the current moment relative to a DQN algorithm; completing the training and optimization of the intelligent agent through an improved DQN algorithm, and storing the network parameters after the training of the intelligent agent is completed; inputting the unmanned aerial vehicle state information S into a reinforcement learning module, and outputting a suboptimal solution X, namely an initial allocation strategy, through reinforcement learning; optimizing the suboptimal solution generated by reinforcement learning through an evolutionary algorithm to generate an optimal solution of target allocation; and decoding the optimal solution to obtain an anti-unmanned aerial vehicle task allocation scheme. According to the method, the agent interception performance trained through the improved DQN algorithm is more accurate, and the task allocation is more efficient and applicable.

A visual curve fitting method for mathematically modeling the thermal response of an item based upon the generic thermal response equation T₂=T₁+(T_env.−T₁)×F. Using a spreadsheet application with a graphical user interface (GUI), a graph is displayed with a set of generic thermal response curves and a set of actual thermal response data curves. By manipulating a series of slide bars displayed on the GUI, values are selected and input into the generic equation in order to change the shape and position of the generic curve set. Manipulating the slide bars in combination until the generic curve set overlays the actual curve set results in a set of equations (thermal model) that accurately characterizes the thermal behavior of the item under a reasonable range of temperature changes.

The invention discloses a boundary layer transition array plane dynamic evolution process determination method based on flight test data. The method comprises the following steps: (1), converting an original measurement result output by a sensor mounted on a surface measurement point of a hypersonic aircraft into heat flow or temperature information at the position of the surface measurement pointof the aircraft, and filtering abnormal measurement point information to obtain available heat flow or temperature information at the surface measurement point of the aircraft; (2), according to theheat flow or temperature information of the available aircraft surface measuring points, obtaining the transition moment of each measuring point; (3), for any moment, judging whether transition occursat each measuring point at the moment or not according to the obtained moment when transition occurs at each measuring point; (4), in a transition measurement time window, selecting a plurality of time points, and for each time point, obtaining a transition array plane image at the time; and (5), binding the transition array plane images at each moment obtained in the step (3) into an animation according to a flight time sequence, and obtaining a transition array plane dynamic evolution process, thereby obtaining a transition area on the surface of the aircraft at each moment.

The invention discloses an analysis method for improving water temperature of a laminated beam door, The method comprises respectively calculating the vertical water temperature elevation in front ofthe dam which is closest to the discharge water temperature when the laminated beam gate is not in operation and when the laminated beam gate is in operation, then calculating the difference of the discharge water temperature, and taking the difference as the water temperature improvement effect of the laminated beam gate. The technical scheme is adopted, in accordance with that prior art, the thought of the invention is clear, steps are single and clear, through mathematical analysis, A relationship is established between the discharge water temperature and the vertical water temperature infront of the dam, From the point of view of the correlation between the vertical water temperature variation in front of the dam and the representative water intake elevation, the analysis of the water temperature improvement effect of the laminated beam gate is realized, providing a new angle and new method for evaluating the laminated beam gate implementation effect. The analysis algorithm of the invention is based on the measured water temperature data, and the error of the calculation result is not lower than the error of the water temperature measurement, so the calculation precision is greatly improved compared with the calculation precision of the water temperature model.

The invention discloses a test method for testing a P-S-N curve of high-cycle fatigue of an aero-engine material by a small sample amount. The method comprises the steps that same probability distribution points of fatigue lives of same samples under different stress levels in respective parent distribution meet an expression of a formula (4) defined in the specification, and in the formula (4), nji is logarithmic life of the sample i under the jth stress level, mu j is a logarithmic life mean under the jth stress level, sigma j is a logarithmic life standard deviation under the jth stress level, and meanings are same when a subscript j is changed to k; the life sample points under the different stress levels have a one-to-one corresponding relationship; according to the corresponding relationship in the formula (4), the fatigue life on a stress level is equivalent to another stress level, so that sample information aggregation is realized; equivalent large samples are obtained througha small sample test; and according to equivalent large sample data, life distribution parameter statistics is performed. According to the method provided by the invention, based on a sample aggregation principle, fatigue life distribution can be obtained through a small amount of test data, and the relatively accurate P-S-N curve is obtained.

A verification operation supporting system which can automatically execute complicated verification operation is provided. This system is provided with an input device for an administrator for inputting test case common information common to all test cases and test case difference information different for every test case, a text editor for generating a template file containing basic information and, an input device for a verification person for inputting verification person individual information and test condition individual information, a parameter file automatic generating program for generating test case information file which describes the verification operation of each test case by adding individual information and to the basic information and in the template file, and a verification operation executing program for executing the verification operation in accordance with the test case information file while running a TOS and an HDL simulator.

The invention discloses an optimized design method of Gantry-type machine tool stiffness based on segmentation configuration. 3D model of Gantry-type machine is established. Parameter-driven of segmentation configuration modifies and adjust 3D parameter, then a series of 3D model as a structural template can be obtained. A sample library of Gantry-type machine tool can be formed by performance data from finite element analysis. According to the stiffness requirements of the machine tool processing, the initial plan of Gantry-type machine tool structure inputted by the design personnel is optimized based on the basic configuration and segmentation configuration. According the method, the stiffness of Gantry-type construction in early designing stage has been predicted, which provides a reference for designing high stiffness gantry-type structure and reduce the experiment cost of modification and trial production in the process of designing Gantry-type machine tool.

The invention relates to a fast virtual numerical value test method for the aerodynamic performance of a baffled combustor, and relates to the technical field of small turbine engine tests. Accordingto the method, the problem that an aerodynamic model of the combustor is needed in a virtual numerical value test is solved by building a fast, simple and applicable one-dimensional aerodynamic modelof the baffled combustor of a small turbine engine, then the fast virtual numerical value test method for the aerodynamic performance of the baffled combustor of the small turbine engine is formed, and the aim that tests for the aerodynamic performance of the combustor are quickly conducted on a computer platform to obtain the aerodynamic performance of the combustor is achieved. The method is high in computing speed, under the condition that the model is verified, real object tests of the baffled combustor can be partly replaced, the combustor testing cost is reduced, the development period is shortened, and the combustor development efficiency is improved.

The invention discloses an accurate prediction method and system for horizontal displacement of a concrete faced rockfill dam. The accurate prediction method comprises: obtaining and preprocessing historical measured data of the concrete faced rockfill dam to be measured; classifying environmental factors influencing the horizontal displacement of the concrete faced rockfill dam, and selecting aninput variable of a multiple linear regression model according to the correlation between each influence factor and the horizontal displacement; establishing a concrete faced rockfill dam horizontal displacement prediction multiple linear regression model considering rockfill material delay response and cyclic loading and unloading deformation characteristics, and obtaining a preliminary prediction value of horizontal displacement; and establishing a statistical optimization neural network model and carrying out optimization training, and taking a dependent variable of the multiple linear regression model and the preliminary prediction value as inputs of the statistical optimization neural network model to obtain a horizontal displacement prediction value of the concrete faced rockfill dam. The horizontal displacement of the concrete faced rockfill dam can be accurately predicted, and safe operation of the dam and accessory structures of the dam is guaranteed.

The invention relates to the technical field of intelligent power grids and discloses a safety testing system and method for an intelligent substation. The system comprises an intelligent substation real-time simulation subsystem, an intelligent substation secondary equipment simulation subsystem and an intelligent substation communication simulation subsystem which are in communication connection two by two; an intelligent substation simulation model operates in the intelligent substation; a secondary equipment simulation model operates in the intelligent substation secondary equipment simulation subsystem; an intelligent substation communication protocol operates in the intelligent substation communication simulation subsystem. According to the safety testing system and method, information physical characteristics of the intelligent substation can be fused, the attack and defense safety problem of the intelligent substation can be analyzed through simulation, and development of the information safety technique of the intelligent substation is facilitated.

The invention discloses a method for optimizing fuel cell performance based on frequency and a secant angle. The method comprises the steps that in the working condition of the optimal temperature and humidity at which the total internal resistance Rstack of a PEMFC is minimal, the internal resistance of each galvanic pile segment at the moment is measured, and the ideal high-frequency corner frequency f<optimal> and ideal secant angle alpha<optimal> of different electric current densities are acquired correspondingly; with the f<optimal> and the alpha<optimal> as optimization indexes, focusing on the galvanic piles in any working condition, it is only necessary to emit two frequency signals of the highest frequency (20 KHz) and the ideal corner frequency f<optimal> to monitor the current alpha angle, and through uninterrupted adjustment of relevant control variables, the current alpha angle is changed and tends toward the optimal angle alpha<optimal>, so that the galvanic piles are adjusted to the optimal working state. According to the method, improvement is conducted on traditional EIS methods, and the total internal resistance Rstack is quickly calculated by means of a simultaneous equation solution method; not only is optimization of the galvanic pile output performance of the PEMFC achieved from the internal resistance angle, but also the defects that by means of the traditional EIS methods, the hysteresis is large and real-time detection cannot be conducted are overcome, and operation is simpler and the optimization performance is better compared with traditional methods.

The invention discloses a virtual model-based paddy rice plant distance optimization method. The method comprises the following steps that 1) based on an existing functional structure model of singlepaddy rice, a light radiation model is built according to a nested radiosity algorithm and a reverse Monte Carlo ray tracing algorithm by utilizing a GroIMP platform, a transmission process of light rays, shielded by different mediums, in a scene is simulated, and an illumination interception quantity of a canopy of a single plant in a colony is calculated, thereby building a paddy rice colony growth model with a certain physiological function; and 2) a genetic algorithm-based plant distance optimization method comprises the following steps of (2.1) performing genetic coding; (2.2) performingpopulation initialization; and (2.3) performing genetic operation to obtain relatively high-yield plant distance and line spacing suitable for paddy rice. The optimum or suboptimum of the plant distance is achieved on the premise of taking the yield as an optimization standard; and the problem of long time of a field test is solved.