246 results about "Simulation modelling" patented technology

The invention relates to the field of distributed combat simulation,and provides a battle simulation training system and method of attack drone formation. According to physical nodes,the battle simulation training system is divided into a drone and launch platform simulation node,a drone formation command node,a ground plan control node,a neighbour equipment simulation node,an enemy troop simulation node,a tactical communication simulation node,a situation display node,a train control node and a data record analyze node; according to battle simulation modeling,an environment simulation model,amodel system which comprises a simulation entity model and a military conceptual model is established. The battle simulation training system has good supporting effects on tactical cooperative training,operational plan deduction and equipment improvement and optimization of the attack drone formation.

The invention provides a simulation modeling method for equivalent simulation of a doubly-fed wind-power generator set. A frequency converter of the doubly-fed wind-power generator set is simulated by controlled source. The simulation modeling method includes the following steps of (1), building a model of a circuit of the doubly-fed wind-power generator set; (2) building an equivalent model of the doubly-fed wind-power generator set; (3) building a grid-integration testing system of the doubly-fed wind-power generator set; and (4) setting up a testing system for multiple wind-power generator sets, wherein in the step (2), the equivalent model of the doubly-fed wind-power generator set is built on the basis of characteristics of a controlled voltage source of an alternating-current side and a controlled current source of a direct-current side of the frequency converter of the doubly-fed wind-power generator set. By the aid of the simulation modeling method, transient-state characteristics of the doubly-fed wind-power generator set can be simulated accurately, and different characteristics and mutual affection among multiple wind-power generator sets can be computed. High-frequency on and off of fully-controlled devices cannot be taken into consideration, and simulation efficiency is improved greatly. The more the wind-power generator sets are simulated, the more evidently the efficiency is improved, simulation step-length can be increased on the premise of guaranteeing accuracy, and simulation efficiency is improved greatly.

The invention relates to a system for integrating, controlling and simulating signals used in multi-agent region intersection, performs the simulation modeling of the integrated control strategy facing the region intersection by utilizing the multi-agent (Multi-agent) technology, and establishes an intelligent controlling and simulating system suitable for the traffic of the urban area controlled by the compound traffic flow. The system adopts a multi-layer architecture, each layer of architecture represents different agents, so that the control strategy embodies the traffic fluctuation situation in a real-time manner, the intelligent control is truly achieved, a qualitative and quantitative comprehensive evaluation index system, an evaluation model and an evaluation method for controlling the traffic of the urban area are established, the traffic signal control and the traffic inductive coordination treatment are adopted, and the integration of the intelligence traffic control and the induction is realized.

The invention provides an on-line monitoring method and device for the energy efficiency of a central air conditioning system. The on-line monitoring method for the energy efficiency of the central air conditioning system comprises the steps that according to electric data of the central air conditioning system, the energy consumption condition of the central air conditioning system is acquired based on an energy consumption model of the central air conditioning system; and the energy efficiency condition of the central air conditioning system is calculated based on the energy consumption condition of the central air conditioning system. According to the on-line monitoring method and device, by means of data processing of the historical operation parameters of the central air conditioning system, simulation modeling is carried out on the energy consumption of the central air conditioning system, then the correlation between the electric data acquired by an intelligent electricity meter and the central air conditioning system is analyzed, the real-time energy consumption of the central air conditioning system and all parts can be obtained by obtaining the electric data in real time, and then the energy efficiency conditions of the central air conditioning system and all the parts can be analyzed; and the problem that required parameters for existing on-line recognition of the energy efficiency of the central air conditioning system are complex can be solved.

The invention relates to a digital twin model correction method based on a deep neural network, and the method comprises the steps: S1, arranging a sensor, and obtaining the data collected by the sensor; s2, constructing a physical data space based on the data collected by the sensor; s3, constructing a virtual data space through simulation modeling based on the data collected by the sensor as a boundary condition; s4, comparing the virtual data space with the physical data space, judging whether the error exceeds a threshold value or not, if so, performing error learning correction by utilizing a deep neural network and executing the step S5, and otherwise, executing the step S5; and S5, extracting feature data of the physical data space and the virtual data space to correct the digital twin model. Compared with the prior art, the method has the advantages of high model consistency of the virtual space and the physical space and the like.

The invention relates to a method for predicting the post-buckling of a reinforced wallboard based on finite element analysis, which comprises the following steps: firstly, carrying out simulation modeling on a reinforced wallboard shear test piece, and carrying out linear buckling analysis to obtain a reinforced wallboard shear characteristic value buckling mode; Before nonlinear buckling analysis is carried out, a first-order buckling mode vector of the stiffened wallboard is normalized and multiplied by a defect base vector to obtain a defect offset vector, forced node displacement is applied through an SPCD model data card, and defects of an assessment area are introduced into a perfect stiffened wallboard structure in a form of updating unit node coordinates; The large deflection andthe plastic effect of the post-buckling of the reinforced wallboard are considered, post-buckling calculation is carried out on the structure, the bearing capacity of the reinforced wallboard is predicted through a load-displacement curve of a load application point in the process from stress deformation to post-buckling damage of the structure, and the accuracy and engineering feasibility of themethod are verified through a test result; By means of the method, physical tests are reduced, and great significance is achieved for reducing the test cost and risk.

The invention discloses a simulation device and a simulation method for soft start of a motor. According to the invention, a power supply module provides a working power source for a simulation device; a thyristor trigger module simulates a feature of a thyristor; a load module obtains a functional equation of a torque and a load according to speed-torque curve fitting; and a synchronization voltage collection module generates a synchronization signal that is utilized as a reference of a phase-shift control trigger pulse. A phase-shift control module emits a phase-shift control trigger pulse and an open degree of the thyristor is changed by controlling a size of a trigger angle, so that adjustment on an input voltage of the motor is realized; besides, a starting control module receives a detection signal that is from a signal detection module; soft start control is carried out on the motor by controlling the phase-shift control module; and the signal detection module carries out current limiting control by detecting the size of currents of a motor module. The apparatus and the method provided in the invention are suitable for application to simulation of a soft start process of low voltage and high voltage motors; the modeling process is simple and visual; and during the simulation process, a system dynamic changing situation is observed at all times by changing parameters, so that a simulation result has high precision.

The invention is directed to a simulation and modelling approach, which comprises two parts. The first part comprises a generic mathematical model used to simulate or model a system and elements of the system interacting with a predetermined environment. The second part comprises at least one user defined data file that contains not only predetermined parameters (scalars values and / or tables with fixed independent variables) for use by the first part, but which also contains executable mathematical equations and respective data relating to an element of the system. These user-defined algorithmic expressions add to and complement the generic mathematical model so as to produce, when operating together numerical output that simulates or models the behaviour of the one or more elements of the system in a predetermined environment. Typically computer programs interact with the invention to provide a visualisation tools for the numerical output provided. The generic mathematical model can be changed to suit other environments and other elements (classes of objects) interacting with that environment

The invention discloses a mine gas concentration trend warning system based on a 3D simulation platform. Based on the analysis and summarization of actual data in mine monitoring, an interval-valued fuzzy set evaluation analysis model and a gas emission trend prediction model based on the index of attitude are established by conducting stratification analysis and vertical and horizontal analysis on sample data collected in different durations such as the gas density and emission amount of underground monitoring points, the underground gas density is predicted 5-10 minutes earlier, and level warning of the mine gas threat situation is achieved; automatic underground simulation modeling is achieved by developing a 3D engine and an automatic modeling system for mine stereoscopic models, and the display result is more visual and convenient through 3D visualization of the underground coal mine environment. The mine gas concentration trend warning system is combined with a ventilation system and an extraction system in coal mining industry automation and can achieve visual monitoring and management of underground gas and carbon monoxide conditions, and real-time monitoring of the site of underground work, automatic alarming of abnormal conditions and ultralimit alarming of gas and the like are achieved.

Whenever a resource being modeled is accessed, an indication about the access is stored in a number of memory locations of a corresponding number of applications that are interested in monitoring the resource. The memory locations (also called “monitoring memory locations”) are individually identified for each application when allocating a location in main memory. At this time, a pointer to the monitoring memory location is supplied to the application and also added to a group of pointers of locations to be updated when accessing the resource. In addition, in certain embodiments, a bit is allocated within a bitmap for each monitoring memory location for any given application. Such a bit is set at the time of updating the corresponding monitoring memory location and cleared when the application reads the monitoring memory location. Just checking the bitmap as a whole can inform an application if there is any change in any monitoring memory locations of that application. Moreover, the application may use individual bits of the bitmap to identify (and cycle through) only those monitoring memory locations that have changed. Update of monitoring memory locations may be implemented via overloading of operators that access each resource.

The invention discloses a transformation method of input data of simulation software of a power system, which can transform an input data file with PSASP (Power System Analysis Software Package) program format into the file with PSS / E (Power System Simulator / Engineering) program format, so as to solve the problems that the PSS / E software simulation research of the power system is difficult to build a model and has large modeling capacity. The method comprises the steps of after transforming data type of bus data, load data, parallel capacitance reactor data, generator data, alternating-current line data, two-winding transformer data and three-winding transformer data with PSASP program formats, writing the data into a load flow calculation input data source file with PSS / E program format according to the bus number order; after transforming data type of the generator and regulator data with PSASP program format, writing the data into a dynamic analysis input data file with PSS / E program forma according to the PSS / E self-defined model format. The method not only enables the PSS / E software simulation modeling of the power system in our country to be possible, but also provides a quick path for preparing PSS / E simulation modeling base data for a major power grid, thus, a great amount of data input working is saved.

The invention relates to a real-time simulation modeling method for a variable geometric split axle type combustion gas turbine. The combustion gas turbine suitable for the method has the structure characteristics of adjustable compressor guide vane and split form and is composed of a fuel gas generator and a power turbine. The method comprises the following steps: selecting a sample point; acquiring a training sample point; utilizing the acquired sample point to train a RBF neural network; utilizing a part modeling method to establish a power turbine calculating module; connecting the module with the RBF neural network, wherein the RBF neural network is responsible for outputting the related parameters of the fuel gas generator and the power turbine calculating module is responsible for outputting the related parameters, such as, power, thereby acquiring a real-time simulation model of the combustion gas turbine. According to the modeling method for a real-time simulation model provided by the invention, the condition of angle variation of an entry guide vane of the air compressor is considered, the model is reasonably simplified, the advantages of the RBF neural network and the module method are combined with each other, the high instantaneity and high precision of the model are guaranteed while the sample size is greatly reduced.

The invention discloses a logistic center cargo delivery routing problem eM-Plant simulation method. The logistic center cargo delivery routing problem eM-Plant simulation method specifically comprises the steps of firstly certainly knowing a logistic center operation pattern, and specifically performing analysis by taking certain logistic enterprises as objects and taking cargos to be delivered within a range of 10 thousand square kilometers as research objects; defining and analyzing vehicle routing problems with time windows, and mainly making researches on a single distribution center, multiple clients, different demands, time and places, different cargo quantities and different vehicle models; modeling the vehicle routing problems with the time windows, and performing modeling and classification and analysis of constraint conditions by adopting operational research and the like; performing simulation modeling analysis oriented to specific objects and performing modeling analysis in considerations of various factors such as required cargo delivery places and time to the objects, traffic conditions and weather; modeling by using eM-Plant. The simulation model is divided into four parts, including a user interface, an information flow layer, a visualized logistic layer and a simulation data analysis layer.

The invention relates to problems of computer simulation and modeling as well as integrated manufacturing in the aircraft control system design field, in particular to a realizing method for integrating PDM and Matlab, which essentially solves the problems that PDM can not be integrated with Matlab during a process of distributed collaborative design for an aircraft control system. The method takes SmarTeam PDM system as an example, by virtue of API function of PDM and an Matlab interface, and makes use of self-equipped tooling integrated modules of the PDM, so as to realize the integration of PDM and Matlab, effectively improve data information interaction, sharing and integration during the process of distributed collaborative design for the aircraft control system, and facilitate users to manage and manipulate the control model. The method has the advantages of simple structure, good scalability and convenient transplantation, and can effectively improve the efficiency of the aircraft control system design.

The invention provides an urban intersection safety evaluation method based on an extreme value theory and microscopic simulation. According to the method, operating conditions of intersections in a peak period are collected through videos, recognition and data extraction are performed on an intersection conflict, simulation software VISSIM is adopted to perform traffic network simulation modelingand calibration, a conflict track file is extracted, and conflict data is screened; an extreme value model is adopted to perform modeling on the traffic conflict data, and accident risk rates of theintersections are calculated; specifically, a TCT method and an extreme value theory method (Strategy 3) are used to calculate risk degrees respectively, and a Pearson coefficient and a Spearman Rankcoefficient are compared; according to the Pearson coefficient, association calculation is directly performed on the number of actual accidents and safety risk indicators; and according to the Spearman Rank coefficient, safety ordering is performed on the intersections according to the risk indicators and the number of the actual accidents respectively, and the safety evaluation method most approximate to the safety reflected by the actual accidents is selected.

The invention provides a policy file based secondary electric power equipment simulation modeling method. The method comprises: collecting equipment information, configuring a policy file for secondary equipment by utilizing a policy compiling program E language, and storing the policy file in a secondary equipment policy library, wherein the policy file is used for describing controls, object types and control logic relationships of the secondary equipment. The method provided by the invention realizes establishment of a hierarchical secondary equipment simulation model in simulation software and greatly improves building efficiency of simulation development personnel to a secondary equipment refined simulation model.

The invention provides a simulation modeling and scheduling method for an urban drainage system. The method comprises the following steps: establishing a drainage network static database based on a geographic information system; carrying out grid region division and constructing an urban drainage system model; introducing an Adam algorithm into the urban drainage system model, repeatedly and iteratively optimizing the calculated value and the monitored value of the urban drainage system model, and correcting the error of the urban drainage system model; obtaining an urban ponding area distribution map and a ponding liquid level condition; constructing a robust optimization scheduling model which takes the minimum sum of the current economic scheduling cost and the adjustment cost under real-time operation as a target; and using a robust optimization scheduling model to obtain a value in the uncertain set to obtain a determined feasible solution, and combining the pump station scheduling index to obtain a final pump station scheduling plan. Precise scheduling of the pump station can be achieved, the error between the theoretical value and the actual measured value of the urban drainage model is corrected, and energy consumption is reduced.

The invention provides a communication network robustness assessment method based on a complex network and in combination with big data. A communication network is abstracted into the complex networkthrough building a communication network model; a data mining algorithm is used for processing fault data; simulation modeling is performed on the model, analysis data is loaded into a simulation platform, a forwarding capacity, a caching capacity and a forwarding load are set and adjusted, and a routing strategy is changed, and thus a truer, more reliable and more accurate simulation assessment result is acquired. The network model of a real world complex system is built based on a complex network technology, system performance such as robustness, security and reliability are assessed and anoptimization scheme is provided by using a random simulation technology and operation and maintenance big data of the system; a cascade spreading and diffusion problem after a fault occurs in the communication network is found, weak links, including fault equipment and a fault spreading path, affecting the security and reliability of the whole network are found, and the optimization scheme is further provided based on a network topological structure.

The invention discloses a three-dimensional reconstruction transformer substation implementation method based on a virtual simulation technology. According to the method, management is carried out based on millimeter-scale three-dimensional reconstruction of a multi-source modeling transformer substation and data association of a GIS three-dimensional model and equipment attributes; three-dimensional scanning is carried out on the whole transformer substation to obtain a whole structure; scanning details of GIS equipment to obtain a three-dimensional point cloud data structure and three-dimensional morphological characteristics of electrical equipment; image acquisition is made on the texture of the equipment; and finally, the structure and texture of the equipment are acquired in the difficult-to-scan area through panoramic images., which is used for structural recognition of a later-stage device.Simulation modeling is carried out by obtaining GIS equipment information, and information association is carried out on a system data interface and corresponding sensor data, so that visual display and operation can be carried out on the corresponding sensor information by selecting a model in the system, and equipment management work of places such as a transformer substation is greatly facilitated.

The invention discloses a welding process aided design system based on digital twinning. The system comprises an entity layer, a communication layer, an information layer and a service layer which areconnected in sequence and carry out data communication, the entity layer acquires field real-time data and transmits the field real-time data to the information layer and the service layer in sequence through the communication layer; wherein the service layer generates welding process data according to manually input parameters and generates control decision data according to acquired field real-time data, and the service layer sends the generated welding process data and the control decision data to the entity layer through the information layer and the communication layer in sequence; the information layer stores and provides models and data for simulation modeling. The invention further discloses a design method of the welding process aided design system based on digital twinning.

The invention relates to a simulation modeling method of an intelligent vehicle road navigation environment model, which comprises the following steps: establishing an intelligent vehicle road navigation simulation environment; setting virtual vehicle radar, traffic lights, road conditions including ramps, corners and speed limit points in the simulation environment; according to the scene controlstrategy, establishing the simulation model of intelligent vehicle road navigation environment. According to the invention, the multi-source information of the intelligent vehicle can be uniformly constructed in a simulation environment model, the workload and the cost of establishing the driving environment model are reduced, high simulation authenticity is exhibited, and the simulation of the large-scale and complex road traffic environment can be easily established.

ACA based-MLFMA-accelerated fast simulation modeling method for domain decomposition non-conformal mesh comprises the following steps: S1, according to the structure and material characteristics of the target, the target is divided into regions, and discretizing then the mesh on each different region, and separately dividing the mesh between adjacent regions to form non-conformal mesh; S2, separating the mesh between adjacent regions to form non-conformal mesh; S2, selecting appropriate basis function to simulate local electromagnetic current, and using integral equation operator to form matrix equation; S3, using ACA-MFLMA algorithm compresses the matrix equation and iterates quickly to accelerate the solution of the matrix equation, obtains the position induction coefficients of the local electromagnetic current, and then obtains the distribution of the induced electromagnetic current on the target. S4, taking the induced electromagnetic current as the secondary radiation source, theelectromagnetic field distribution in the near region and the scattering characteristics of the far field are calculated, and the electromagnetic field response characteristics of the target are analyzed. The advantages of the method are that it makes full use of the advantages of ACA and MLFMA, and greatly improves the capability of solving the engineering electromagnetic field characteristics.

A method and system for modeling an integrated circuit. The method includes converting a representation of the integrated circuit into design shapes of design levels of a design of the integrated circuit; adding control shapes to the design, the control shapes not defining any physical part of the integrated circuit; extracting layout-dependent stress parameters of the devices from the design levels of the design based on the control shapes and the design shapes; converting the layout-dependent stress parameters to stress parameters using a stress algorithm; generating stressed device parameters from the stress parameters using a compact model; and simulating performance of the integrated circuit using the stressed device parameters in a simulation model of the integrated circuit design.

The invention provides a ship sample expansion method in an infrared image based on a style generative adversarial network. The method mainly solves the problems that in the prior art, the authenticity of generated infrared images is poor due to complex simulation modeling, the collection difficulty of visible light-infrared image photoelectric conversion training samples is large, and the numberof training sets is small, so that the expanded infrared images are lack of diversity. The method comprises the following steps: (1) selecting real-shot infrared images to form the training sets; (2)constructing a generator network; (3) constructing a discriminator network; (4) constructing a style generative adversarial network; (5) training a discriminator network; (6) training a generator network; (7) training a style generative adversarial network; and (8) outputting an infrared image sample by using the trained generator network to complete the expansion of the infrared image sample. According to the method, a large number of infrared ship samples can be generated, and the sense of reality and diversity of expanded samples are effectively improved.

Provided are an apparatus and method for modeling and analyzing a network simulation for a salable simulation framework (SSF)-based network simulation package. A system logic set is generated and a network simulation modeling suitable for a predetermined network application is formed according to the system logic set. The network simulation modeling is transmitted to a predetermined network simulation package that performs simulation. Statistical information is generated based on the result according to the system logic set. Complicated network simulation modeling errors can be minimized, and remodeling of the network simulation modeling can be reduced.

The invention relates to the field of intelligent processing, in particular to a monitoring method based on a digital twinning model and point collision machine equipment applying the same, the monitoring method is applied to the processing process of the point collision machine equipment, and the monitoring method comprises the following steps: a, simulation modeling is carried out on the point collision machine equipment; b, collision point machine equipment is dynamically realized; c, the point collision machine model is integrated with point collision machine equipment; d. System integration design is carried out. The invention provides a monitoring method based on a digital twin model and point collision machine equipment applying the same. The monitoring method aims at a digital twinning model of point collision machine equipment. The virtual-real synchronization technology is utilized to ensure the synchronous operation of the simulation point collision machine equipment and thereal point collision machine equipment, the method is used for simulation operation and test before the point collision process and real-time monitoring and synchronous test and synchronous optimization in the point collision process, timely optimization and adjustment are carried out according to monitored data, and the rejection rate is reduced.

An aspect of handling a plurality of simulated models includes receiving from a first simulation model a stream of source data and determining data processing compatibility between the the simulation model and a second-simulation model by i) obtaining metadata relating to the first-simulation models from a memory and ii) obtaining metadata relating to the second simulation model from the memory. An aspect also includes generating a transformation component using a schema mapping tool for providing compatibility between the first and second simulation models upon a determination that the compatibility does not exist between the two models. The—transformation component is generated—using the metadata relating to the first and second simulation models. The method also includes generating a—stream of target data by the second simulation model via the transformation component. The second simulation model uses the stream of source data as input.

The invention provides a multi-objective optimization method for vibration reduction of an air conditioner pipeline structure, a computer readable storage medium and a terminal. The multi-objective optimization method includes the steps that the system receives manually input pipeline parameters and recognizes the parameters as design parameter input; a simulation model is established according todesign parameters, and a large amount of experimental data is obtained through simulation; and the system determines a plurality of target outputs and constraint conditions to establish an approximate mathematical model, performs precision and sensitivity analysis on the obtained mathematical model, and performs optimization through an optimization algorithm to obtain optimal design parameters. According to the multi-objective optimization method, pipeline parameters are used as design parameters to be input into simulation modeling; on the basis of guaranteeing the analysis precision, multi-objective optimization analysis is carried out, and a pipeline system meeting the vibration standard is obtained, and the problems of strain exceeding the standard, breakage and the like in the pipeline operation and transportation process are solved; and the product development efficiency, namely the reliability, is improved, and then lightweight optimization in the aspects of weight reduction, damping block reduction and the like is carried out.

The invention provides a wind power field real-time simulation modelling system and method. The simulation modelling system comprises a simulation subsystem and a wind field control system; the simulation subsystem is electrically connected virtual synchronous generators in the wind field control system and used for constructing a wind power field model and a power grid model and simulating the running state information of the wind power field model and the power grid model; various virtual synchronous generators are used for outputting a regulation instruction for the wind power field according to the real-time acquired running state information of the wind power field model and the power grid model; the simulation subsystem is further used for corresponding regulating the running state of the wind power field model after receiving the regulating instruction. In the system and method provided by the invention, the actual control equipment is directly added into system to test, the full testing can be performed by simulating the actual working condition, the fan development period can be shortened, the testing risk is reduced, the fault rate is reduced, and the development cost issaved.

A computer simulation method is provided for modeling the behavioral expression of one or more agents in an environment to be simulated, then running a simulation of the modeled agent(s) against real-world information as input data reflecting changing conditions of the environment being simulated, and obtaining an output based on the modeled agent(s) response(s). The simulation method models the underlying cultural, social, and behavioral characteristics on which agent behaviors and actions are based, rather than modeling fixed rules for the agent's actions. The input data driving the simulation are constituted by real-world information reflecting the changing conditions of the environment being simulated, rather than an artificial set of predefined initial conditions which do not change over time. As a result, the simulation output of the modeled agent's responses to the input information can indicate more accurately how that type of participant in the simulated environment might respond under real-world conditions. Simulations can be run on global networks for agent types of different cultures, societies, and behaviors, with global sources of information. Simulation environments can include problems and situations in a wide range of human activity. Robust new visual tools are provided for discerning patterns and trends in the simulation data, including waveform charts, star charts, grid charts, and pole chart series.