375 results about "Simulation algorithm" patented technology

The technology described herein provides methods and systems for powertrain optimization and improved fuel economy including multiple displacement engine modeling and control optimization, automotive powertrain matching for fuel economy, cycle-based automotive shift and lock-up scheduling for fuel economy, and engine performance requirements based on vehicle attributes and drive cycle characteristics. Also provided is a reverse tractive road load demand simulation algorithm used to propagate a reverse tractive road load demand and a corresponding component torque and speed, derived from a vehicle speed trace, in a reverse direction through a powertrain system. Also provided is a dynamic optimization algorithm. The dynamic programming algorithm is applied to a matrix of fuel flow rates to find the optimal control path that maximizes the powertrain efficiency over a cycle.

A method for predicating surface roughness and surface topography simulation of a car milling compound machining comprises the following six steps: step one, a modeling of a unified cutter position coordinate model of a whole cutter and an inserted blade cutter; step two, a modeling of the geometrical movement trace of a milling cutter cutting edge; step three, a consideration of influences of the vibration of the cutters to a workpiece surface morphology; step four, a microscopic surface morphology representation method; step five, a car milling compound machining basic structure function; step six, a simulation algorithm example and an orthogonal test method. The method combines the geometrical simulation and the physical simulation together, static and dynamic deformations which are produced when cutters cut under stress are fully considered, models for general car milling compound machining method of any angle are theoretically built, and a surface method of the roughness calculation of the car milling compound machining is deduced. The method for predicating surface roughness and surface topography simulation of the car milling compound machining has good practical values and broad application prospects in the technical field of machinery manufacturing processing.

The present invention is directed to a traffic simulation algorithm for an asynchronous transfer mode communications (ATM) network. The algorithm recognizes that packets in ATM networks can have interarrival times that are lognormally distributed or lognormally and normally distributed. Lognormal and, in some cases, normal random number generators are used to generate packet interarrival times of a synthetic traffic stream.

Voltage and current of an electrosurgical output signal which is conducted by a transformer are accurately simulated by executing a simulation algorithm to compensate for inherent distortion in the values of the current and voltage induced between primary and secondary windings of the transformer. The simulation algorithm is executed in response to voltage and current signals from a primary winding of the transformer, which may be a power output transformer or part of an electrosurgical output signal sensor.

The technology described herein provides methods and systems for powertrain optimization and improved fuel economy including multiple displacement engine modeling and control optimization, automotive powertrain matching for fuel economy, cycle-based automotive shift and lock-up scheduling for fuel economy, and engine performance requirements based on vehicle attributes and drive cycle characteristics. Also provided is a reverse tractive road load demand simulation algorithm used to propagate a reverse tractive road load demand and a corresponding component torque and speed, derived from a vehicle speed trace, in a reverse direction through a powertrain system. Also provided is a dynamic optimization algorithm. The dynamic programming algorithm is applied to a matrix of fuel flow rates to find the optimal control path that maximizes the powertrain efficiency over a cycle.

Techniques for determining certain parameters of semiconductor specimens using X-ray spectroscopy are described. The invention can be used to determine parameters such as composition, dimensions, and density of semiconductor specimens. Specifically, an X-ray spectrum simulation algorithm is used to iteratively generate a theoretical X-ray spectrum for a semiconductor specimen having certain parameters. The iterative generation of theoretical X-ray spectrums continues until one of the theoretical X-ray spectrum closely matches the actual X-ray spectrum measured off of the specimen. In an alternative embodiment, this technique of generating theoretical X-ray spectrums can be used in combination with a pre-existing library of X-ray spectral signatures for semiconductor specimens having various parameters.

The invention discloses an integrated support system and method for management and control of a power distribution network. A data layer comprises a data access processing unit for integrating and standardizing the collected data associated with the distribution network according to the common information model to form the pattern data, the historical data and the document data, and store respectively in the relational database, a sequential database and a distribution database. A service layer comprises a digital simulation model, a distribution terminal detection model and a distribution automation master station system test model called by an application layer, and the service layer realizes data interaction of all distribution models and assessing control of distribution equipment by equipment detection and matching and object accessing middleware / distributed file accessing middleware. The application layer comprises a distribution network operation analysis unit, a distribution network terminal detection unit and a distribution automation main station system detection unit, wherein the distribution network operation analysis unit calls a digital simulation model and uses a distribution network digital simulation algorithm to analyze the current network running states by combining with the distribution network related information in the data layer.

A method for maximizing the benefits of Fault Circuit Indicators on an electrical feeder has two steps. In the first step a data set for the feeder is obtained based on historical data. In the second step, the number of FCIs and their location is calculated based on the data set obtained in the first step. The number of FCIs and their location is determined utilizing a simulation algorithm that ensures each FCI is used efficiently and provides actionable information to the utility's crew.

The invention discloses an optimal capacity estimation method for energy storage in the field of frequency modulation of a power system. The method comprises the steps of building an energy storage output power module, and determining adjustable capacity of energy storage according to the energy storage output power module; building an output power model of a conventional machine set, and determining adjustable capacity of the conventional machine set according to the output power model of the conventional machine set; building frequency modulation dispatching strategy model, and adjusting capacity of energy storage or the conventional machine set according to frequency modulation capacity required by the power system and the adjustable capacity of energy storage or the adjustable capacityof the conventional machine set; building a frequency modulation compensation rule module, and determining compensation amount of energy storage or the conventional machine set according to the frequency modulation compensation rule model; setting a capacity ratio of energy storage; building a frequency modulation time sequence simulation model, building a simulation algorithm input database, andperforming frequency modulation time sequence simulation according to the capacity ratio of energy storage; and calculating total frequency modulation compensation fee of all conventional machine sets and energy storage within a typical frequency modulation day according to data within a certain time.

The invention discloses a robot route planning method, a storage medium and equipment. The method comprises steps as follows: a robot working environment map is constructed with a honeycomb grid method, and an environment map model is established; optimal route searching of robot walking routes is performed, and the optimal route is planned; smoothing is performed on fold line routes of a robot. The environment map is divided with the honeycomb grid method, and the problems about too big corners, effectiveness and safety in conventional grid methods are solved; the honeycomb method and a treegrowth simulation algorithm with plants as research objects are combined, advantages of all parts are well played, and the robot route planning problem is researched in a new way.

The invention discloses a virtual impedance voltage converter-based control method of a virtual synchronous motor. Output voltage and current of a voltage converter is controlled to have the characteristic of a synchronous motor through electric and mechanical main parts of the virtual synchronous motor, wherein the electric part comprises a novel virtual impedance simulation algorithm, a conventional converter current inner ring and a modulation strategy and the mechanical part comprises a power calculating module, a rotor mechanical equation and a virtual damping module. The virtual impedance voltage converter-based control method of the virtual synchronous motor can be used for simulating winding impedance without introducing a differential term of current output by the converter, so that the influence on impedance simulation by an extra low pass filter is overcome, and the current inner ring control of a parallel converter is not sacrificed, and therefore, alternating current is controlled, and the converter has the capacity of preventing current fluctuation, overcurrent and even impact without quick current inner ring control. A silent pole motor and a non-salient pole motor can be simultaneously simulated.

The invention involves the emulation technology of embedded real-time system, aiming to provide an analysis method for schedulability of the real-time system based on model. The method includes the following steps: (a) Establish the system model; (2) take a systematic model as input to separate the tasks; (3) design data structures for simulation; (4) execute simulation algorithm on the directed graph and get the outcome sequence; (5) output simulation results. The invention conducts detailed simulation of the task order. It has good predictability, reliability and usability. It saves the software development time, eliminates the disadvantages of the previous schedulability analysis method which only gives a more general, rather ambiguous results of the adverse aspects. The invention makes scheduling be more of feasibility and visualization. And it has detailed output and friendly interface.

The invention provides an urban building group earthquake damage high-realism display method, and belongs to the technical field of earthquake damage simulation and prediction. The urban building group earthquake damage high-realism display method includes the steps: utilizing a multi-freedom structure model to perform non-linear time-procedure analysis of the urban large building group under theeffect of earthquake, and obtaining the earthquake response data (including the level of earthquake damage, displacement, speed, and the like) of each floor of the building; on the above basis, implementing dynamic visualization of building displacement in a three-dimensional graphic engine, based on refined earthquake damage data; and finally, designing a simulation algorithm integrating a physical engine, a graphic engine and time-procedure analysis to represent the physical process, with sense of reality, of collapse of the building. The urban building group earthquake damage high-realism display method takes a real medium-sized city in China as a calculating example to apply, and can display the overall process of urban building group earthquake damage, with sense of reality. The urbanbuilding group earthquake damage high-realism display method provides a good visualization technology for urban virtual earthquake emergency manoeuvre.

A central difference scheme, on which a coupled level set projection method is based, is extended to quadrilateral grids on axi-symmetric coordinate systems. The level set projection method is incorporated into a finite-difference-based ink-jet simulation algorithm. The extension involves modification of the Navier-Stokes equations and the level set convection equation. Moreover, the velocity and level set correctors in axi-symmetric coordinate systems should be “recovered” to point values before being projected. Numerical differentiation and integration in the central difference scheme are done in the computational space. The inventive algorithm may be embodied in methods, apparatuses, and instruction sets carried on device-readable mediums.

The invention relates to a real-time cutting simulation method of a flexible object on the basis of finite element and time-variant modal analysis. The real-time cutting simulation method carries out researches and is implemented mainly by aiming at a real-time interactive soft tissue deformation and cutting simulation algorithm of a virtual surgery. The method comprises the following steps: carrying out voxelization and finite element physical modeling on a simulation domain of a model, carrying out subspace construction on the basis of priori modal analysis, carrying out cutting operation response, carrying out significance analysis and screening on a subspace base vector, and carrying out subspace time-variant effectiveness estimation. The method carries out parallel design on the simulation algorithm and achieves real-time interactive efficiency by virtue of the powerful calculation capability of GPU (Graphics Processing Unit).

The invention discloses a holographic virtual fitting system based on kinect. The holographic virtual fitting system comprises a projector, a holographic projection screen, a kinect somatosensory camera and a PC (Personal Computer), wherein the kinect somatosensory camera is arranged on the holographic projection screen for obtaining human body bone spatial data and rgb colorful image data in real time; the PC is provided with a virtual fitting program; the kinect somatosensory camera and the projector are both connected with the PC through interfaces; the virtual fitting program is used for reading the bone spatial data transmitted from the kinect somatosensory camera to realize user bone tracking; then, on the basis of a clothes simulation algorithm of a spring-particle model, a three-dimensional clothes model is simulated; finally, the three-dimensional clothes model is bound with user bones to generate a three-dimensional clothes fitting model which is used for embodying that clothes are fit on the user; and the projector is used for projecting a three-dimensional clothes fitting model constructed by the virtual fitting program in real time onto the holographic projection screen. The holographic virtual fitting system has the advantages of being favorable in stability and user experience and high in sense of reality.

The invention discloses a PIC (Peripheral Interface Controller) model-based accelerator simulation method implemented by using a GPU (Graphic Processing Unit) in parallel. The method comprises the following steps: copying initialization information from a host to the GPU for calculating nodes; determining a corresponding relationship of particle positions and grids according to the initialization information; according to the corresponding relationship of the particle positions and the grids, calculating charge density weights, on the grids, of all particles in each grid to obtain the charge density distribution of the grid; calculating the potential distribution of the grids according to the charge density distribution of the grids, and calculating the electric field distribution of the grids according to the potential distribution of the grids; calculating the motion change of each particle under the action of an electric field, and updating the motion state of each particle; replacing the initialization information by the updated motion state of each particle, and iteratively carrying out the steps until the motion states of the particles satisfy design requirements. According to the method, the technical problems of being low in operation speed of a simulation algorithm, high in cost and the like in the existing PIC model-based accelerator can be solved.

The invention discloses a ground state acquisition method and device of a quantum system, equipment and a storage medium, and relates to the technical field of quantum. The method comprises the following steps: preparing an initial state of a target quantum system; performing n steps of evolution and post-processing on the target quantum system, wherein the kth step of evolution comprises evolving the kth step of input quantum state to obtain a kth step of evolution final state, and the kth step of post-processing comprises removing the influence of auxiliary quantum bits used by the kth step of evolution from the kth step of evolution final state to obtain a kth step of output quantum state; and obtaining an nth-step of output quantum state obtained through the n-step of evolution and post-processing, and obtaining a ground state of the target quantum system. According to the quantum simulation algorithm based on the non-Hermite process, the ground state of a quantum system is simulated, the effect of virtual-real evolution is achieved through real-time unitary evolution related to the Hamiltonian of the system, ground state simulation is clearly and clearly achieved theoretically, the process can be directly achieved through a quantum circuit, and the operability of the scheme is improved.

The invention discloses an IEC (International Electrotechnical Commission) 61968-based power distribution network model interoperation and functional verification method. The method comprises the following steps of: a) modeling for the power distribution network IEC61968 standard through the primary equipment and the secondary equipment; b) implementing a communication function with a power distribution network main station through the transmission protocol of the 5-104 parts of the standards of power industry of the People's Republic of China; c) simulating the reporting abnormal conditions of the secondary equipment information; d) simulating the simulation run of the power distribution network, wherein an FTU (Feeder Terminal Unit) performs protection simulation, a switch performs reclosing simulation, a simulation pool finishes typical load curve edition and running management, and a simulation algorithm is responsible for overall running schedule of the power distribution network model, and analogue simulation of actual running state of the power distribution network; e) simulating fault and exception test scenes; f) testing terminal access capacity. The method provided by the invention is used for simulating the power distribution network in practical applications so as to improve the construction efficiency of the power distribution network and reduce the investment cost.

The invention provides an optimization modeling method for coupling of production and energy of continuous enterprises. The method comprises the following steps: establishing a CEECOM unit model X; setting an information parameter of a CEECOM production dispatch velocity model psi to generate a CEECOM system model; determining the material type and listing a constraint equation according to the Petri network topology structure of the CEECOM system model; and running a simulation algorithm to calculate energy consumption and generate a corresponding curve. The method adopts a color expansion blending Petri network method, and gives consideration to energy flow, material flow and information flow. The modeling method of the invention has strict theoretical foundation, is concise, convenient and easy, and is suitable for practical use. The method realizes reoccurrence of energy consumption process of enterprise production by acquiring data from a DCS or database. Safety pre-warning is provided regarding unsafe information parameter of energy consumption equipment (unit) in enterprise production energy consuming activities, and the control model implements corresponding processing if a corresponding measurement cannot be obtained within the safety pre-warning time. The method can be jointed with an ERP so as to realize dynamic simulation in the enterprise production energy consuming process.

The invention discloses a flexible job shop scheduling system based on a Petri network and an improved genetic algorithm. The flexible job shop scheduling system is a system for minimizing completion time and power consumption according to peak-valley electricity price and indirect energy consumption, and comprises a job time selection module and a machine task assigning module, wherein the job time selection module is used for obtaining a migration activation time sequence FS and a migration processing sequence TS' by establishing an energy time Petri network model and a time selection simulation algorithm TSSA; the machine task assigning module is used for simulating by combination of improved genetic algorithm and the Petri network, finding out an optimal migration processing sequence TS, and obtaining a satisfactory solution of flexible job shop scheduling TI-FJSP. By adopting the flexible job shop scheduling system disclosed by the invention, making and implementation of a production plan can be effectively optimized, and a production mode with the lowest cost is provided for a company according to the peak-valley electricity price, so that the production cost of the company can be lowered, the utilization rate of energy can be increased, energy allocation can be optimized, resources can be saved, the environment can be protected, the economic benefits of the company can be optimized, and the industrial competitiveness of the company can be improved.

The invention provides a building indoor path finding element visual saliency evaluation system and method based on virtual reality and eye movement tracking, and the system comprises a virtual reality generation module which establishes a building indoor three-dimensional virtual model based on investigation data; The display and control module is used for displaying a preset environment scene and realizing man-machine interaction; The data acquisition and recording module is used for capturing various tested index data in real time by using eye movement tracking equipment; And the data processing and analyzing module is used for calling the building design influence factor parameter set and the eye movement data to construct a building indoor path-finding element visual saliency prediction model so as to realize visual saliency evaluation on related environment elements. According to the method, the accuracy of user path-finding navigation decision prediction can be improved, the visual saliency parameters are reasonably introduced, the building indoor evacuation simulation algorithm model is optimized, and more effective suggestions are provided for building performance design.

The invention provides a concurrent numerical simulation method and system based on GPU (Graphic Processing Unit) and CPU cooperative computing, which comprises a concurrent module selection unit and a concurrent granularity determination unit, wherein the concurrent module selection unit is used for selecting a function module suitable for carrying out concurrent operation from al function modules of a numerical simulation algorithm and promoting a CPU to execute residual function modules; and the concurrent granularity determination unit is used for determining an optimal concurrent granularity, adapting to a GPU, of each function module selected by the concurrent module selection module unit, and transplanting the function module with the determined optimal concurrent granularity to the GPU so that the GPU carries out data concurrent operation treatment by using the transplanted function module.

The invention discloses a multi-target dynamic scheduling method for a wind storage hydrothermal power system based on multi-source complementation, and the method comprises the following steps: 1, building a multi-target dynamic economical scheduling model: 1.1, building four optimization targets: take the minimum thermal power coal consumption, the minimum thermal power output adjustment volume, the maximum thermal power generation and the minimum load fluctuation after the thermal power is inputted to a power grid; 1.2, determining the constraint conditions of the four optimization targets; 2, carrying out the weighting and conversion of the four optimization targets, and obtaining a target function F of the multi-target dynamic economical scheduling model; 3, combining with the target function F, and solving the multi-target dynamic economical scheduling model through employing the improved plant growth simulation algorithm. According to the invention, the method gives full consideration to the economical performance and stability of thermal power operation, the utilization rate of the wind power and hydropower and the adjustment effect of a pumped storage power station, and guarantees the economical performance and stability of operation of the thermal power generating unit while promoting the consumption of the wind power.

The invention discloses a time domain self-correlation Nakagami-m fading complex channel simulation method, which comprises the steps of: firstly, carrying out independent simulation on envelope distribution, so that a probability density function and a cumulative distribution function of envelopes are consistent with theoretical values; secondly, carrying out independent simulation on phase distribution, so that statistical indexes of a probability density function and a cumulative distribution function of phases are consistent with theoretical values; then ranking an envelope sequence and a phase sequence, so that a self-correlation function and a power spectral density are consistent with theoretical values; and finally, superposing the ranked envelope sequence and phase sequence to obtain a time domain self-correlation Nakagami-m fading complex channel random sequence satisfying all simulation performance evaluation statistics. The time domain self-correlation Nakagami-m fading complex channel simulation method realizes good self-correlation characteristic fading simulation and fast fading simulation of a time domain self-correlation Nakagami-m fading complex channel, has good extensibility, and brings convenience for subsequent adoption of a more efficient module simulation algorithm.

The invention discloses a virtual-real fusion man-machine collaborative simulation method. The virtual-real fusion man-machine collaborative simulation method comprises the following steps: calculating a three-dimensional pose sequence of a human body, arms and hands and corresponding force application information according to three-dimensional pose information of the human body and a return result of a data glove; and combining the three-dimensional pose sequence of the human body, the arms and the hands, the corresponding force application information and a virtual robot model motion simulation result, obtaining position interaction information and force interaction information between a virtual robot and the human body three-dimensional posture sequence through detection on the basis ofa collision detection algorithm and a physical simulation algorithm, and carrying out simulation analysis on a man-machine cooperation process. The virtual-real fusion man-machine collaborative simulation method has the advantages that verification and experiments for various control algorithms in man-machine cooperation research can be carried out, and interaction, collision, force, action coordination and other content between people and the robot are experimented; the method is closer to a real scene, can truly reflect the human motion, avoids building of a complex model, guarantees the safety of the human body, enables a person to truly feel a cooperation process, and is more accurate in simulation.

The invention relates to a full-condition wind turbine simulator comprising an upper computer monitor system for the wind turbine simulator, a characteristic simulating control system for a full-condition wind turbine and an electromechanical servo system for the wind turbine simulator. The upper computer monitor system for the wind turbine simulator sets operating parameters; the characteristic simulating control system for the full-condition wind turbine reads required data in each control cycle, operates simulation algorithms, and outputs torque commands to the drag converter of the electromechanical servo system for the wind turbine simulator; the drag converter controls a drag motor to output torques, and the operating characteristics of the wind turbine are simulated. The full-condition wind turbine simulator provided by the invention can simulate the dynamic and static characteristics of the full-condition operation of the wind turbine in a laboratory without wind field environment, and the full-condition wind turbine simulator is suitable for developing and researching wind power technique.

The invention relates to a numerical simulation algorithm for the engineering properties of coarse-grained soil by using DDA (Discontinuous Deformation Analysis). The numerical simulation algorithm comprises the following steps of: randomly generating polygons, carrying out grain release according to intrusion judgment, generating polygonal grains meeting the requirements on a certain graduation in predetermined release areas according the laboratory test requirements of the coarse-grained soil, generating a loosely-distributed granular system, and generating an actually-close stacked body through stacking simulation, wherein the positions of the grains are random, the number of sides and the length of side are also random, and the grains are not intersected with one another; and by referring to the laboratory triaxial test, adding a flexible material to two sides of a test sample and dispersing the test sample into a block body, adding rigid plates to the top and the bottom of the test sample, rigid blocks are placed at two sides of a top loading plate in order to ensure the vertical action of an axial pressure, and applying the DDA to carry out numerical simulation on the mechanical test of the coarse-grained soil after respectively applying test loads, i.e. a confining pressure sigma3 and an axial pressure sigma1, to the two sides and the top of the test sample.