35results about How to "High simulation accuracy" patented technology

The invention discloses a water quality prediction method based on multi-source data, and constructs a water quality prediction model based on a long short-term memory network (LSTM) and a graph neural network (GNN) of multi-source data (surface water monitoring data, meteorological data, hydrological data and pollution source on-line monitoring data), so that short-term real-time on-line prediction of surface water quality factors can be realized. According to the method, on the basis of multi-source data such as section water quality monitoring data, historical meteorological data, forecast meteorological data, hydrological monitoring data, pollution source online monitoring data and upstream and downstream relations, multiple main water quality influence factors such as water quality, meteorology, hydrology, pollution sources and upstream and downstream section water quality are comprehensively considered; the LSTM or the graph neural network is adopted to establish a water quality prediction model, and the comprehensive influence of various influence factors and the time-space relationship on the water quality is simulated, so that the simulation result is more accurate and reliable.

The invention discloses a frequency modulation response analysis-oriented wind power plant improved single-machine equivalence method and system, and belongs to the technical field of power system new energy station modeling. The method aims at solving the problem that a system frequency response characteristic analysis result is distorted when new energy participates in frequency modulation due to the fact that a traditional wind power plant equivalent modeling method oriented to frequency modulation response analysis in current practical engineering cannot adapt to a frequency modulation response analysis scene. According to the method, wind turbine generators in a wind power plant electromagnetic transient model are divided into two groups according to whether the wind turbine generators participate in frequency modulation or not by taking an active output threshold Tp as a grouping point in a steady state, and the frequency modulation power of an equivalent machine is corrected; calculating an improved virtual inertia coefficient and a droop coefficient of the equivalent machine through the corrected frequency modulation power; in addition, the equivalent machine adopts overspeed load shedding control to realize load shedding operation, and cooperates with virtual inertia control and droop control to participate in system frequency modulation. The method is used for single-machine equivalence of the wind power plant.

The invention discloses an urban rainfall flood process simulation method combining road equivalent drainage and a trunk pipe network, and the method comprises the steps: obtaining the basic data of a research region, building a two-dimensional hydrodynamic model and a one-dimensional pipe network model based on the obtained data, and carrying out the Thiessen polygon partitioning of the research region, establishing a coupling relationship among the rainwater nodes, the earth surface grids and the Thiessen polygon partitions; calculating the rainfall and infiltration process of the research area to judge whether the rainwater node overflows or not, if overflow occurs, performing overflow calculation, if not, discharging the road rainwater in the Thiessen polygon partition corresponding to the rainwater node into the rainwater node, and performing data updating according to the calculation result until the set operation time is reached, and then performing data updating according to the calculation result. And outputting a rainfall flood simulation result of the research area. According to the method, the flood process calculation of the region lacking the urban fine pipe network data is realized, and the simulation precision and the simulation calculation efficiency of the pipe network drainage process of the region lacking the urban fine pipe network data are improved.

The invention discloses space-time process simulation of concrete sulfate erosion concentration based on an NAS-PINN-GPR algorithm. The space-time process simulation comprises the following steps: determining a control equation of a sulfate erosion process and collecting sample data; optimizing the PINN structure by using a neural architecture search (NAS) technology; setting a loss function of the PINN according to the control equation, the sample set, the boundary condition and the initial value condition; according to the loss function, training the optimized PINN structure based on the sample set, and simulating the time-space process of the concrete sulfate erosion concentration by using the trained PINN structure to obtain sulfate ion concentration point prediction; the trained PINN structure generates sufficient prediction data as training data of a Gaussian process regression (GPR) algorithm, and a trained GPR model is utilized to simulate and predict an uncertainty probability interval of the concrete sulfate erosion concentration. According to the method, the PINN algorithm and the GPR algorithm are combined, reliable interval estimation is provided on the basis of obtaining high-precision sulfate ion concentration point estimation, and the prediction capability of the model is improved.

The invention discloses a photoetching simulation model construction method, device and equipment, a medium and a program product, and relates to the technical field of semiconductors. The method comprises the steps that multiple photoetching simulation parameters are obtained, the multiple photoetching simulation parameters at least comprise the key size between a first test pattern and a second test pattern in a photoetching simulation mask, and the second test pattern is an adjacent pattern of the first test pattern; determining a target diffusion coefficient of a target photochemical reaction substance in the exposed photoresist based on the plurality of photoetching simulation parameters; based on the target diffusion coefficient, a target reaction diffusion model of the target photochemical reaction substance in the post-baking process of photoetching simulation is constructed, and the target reaction diffusion model is used for simulating the reaction diffusion process of the target photochemical reaction substance in the post-baking process. According to the embodiment of the invention, the photoetching simulation model in the photoetching simulation post-baking process can be accurately constructed, so that the simulation accuracy of a strict photoetching simulation system in the post-baking process can be effectively improved.

The invention provides a downscaling bridge wind temperature coupling numerical simulation method considering a real terrain, and belongs to the technical field of bridge structure design. Comprising the steps of determining a calculation area of a mesoscale model according to a bridge geographic position, and adopting multi-layer grid nesting to improve calculation precision; obtaining terrain static data and initial meteorological field data, and configuring a physical scheme; establishing a geometric model of the small-scale model through three-dimensional modeling software; according to a small-scale model, calculating a domain inlet surface form, and performing fitting block division and extraction point planning; extracting inlet wind speed and temperature data by adopting a Cressman interpolation method through the mesoscale model, and fitting by adopting a least square method to obtain a small-scale model inlet surface wind speed and temperature function; according to the material characteristics of the bridge structure, loading a geometric model and an inlet surface wind speed and temperature function, establishing a small-scale model by using a CFD method, and solving environmental wind, a temperature field and structural response; the simulation authenticity is improved, and the redundancy of simulation work is reduced.

The present application is about an arm exoskeleton, an upper body exoskeleton and a teleoperation system, and relates to the field of robots. The arm exoskeleton includes a shoulder exoskeleton, an elbow exoskeleton and a wrist exoskeleton; the shoulder exoskeleton, the elbow exoskeleton and the wrist exoskeleton are connected in sequence. When the arm exoskeleton performs active movement according to control instructions, or performs passive movement following the user's arm movement, the shoulder motor group simulates the movement guided by the human shoulder joint, the elbow motor group simulates the movement guided by the human elbow joint, and the wrist joint group simulates the movement guided by the human wrist joint. When the user wears the arm exoskeleton to exercise, the motor group and the skeleton are combined and set corresponding to the shoulder joint, elbow joint and wrist joint of the user's arm, so that the arm exoskeleton simulates the human body movement more realistically during the movement process, and improves the simulation accuracy of the human body movement state.

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

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

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

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

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

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

The invention relates to the technical field of stratum fault displacement simulation, in particular to a stratum fault displacement simulation device for a tendency fault. The invention provides the stratum fault displacement simulation device for the inclined fault, which can press down the geologic model, ensure the flatness of the geologic model and uniform pressure distribution and improve the simulation accuracy. A stratum fault displacement simulation device of an inclined fault comprises a base, an ore storage mechanism and the like, and the ore storage mechanism capable of storing a geologic model is arranged on the base. By starting a tail cylinder, a lifting hook moves downwards to be separated from a sliding plate, a first spring rebounds, the sliding plate is driven to move downwards, a rotation limiting plate is reset to a horizontal state until the sliding plate and the rotation limiting plate are pressed downwards on the surface of a geologic model, the geologic model can be pressed downwards, flatness of the geologic model and uniform pressure distribution are ensured, and the working efficiency of the geologic model is improved. And the simulation accuracy is improved.

The application discloses a kind of thermal power unit machine furnace electricity nonlinear coupling stability boundary identification method and system, belong to electric power system low-frequency oscillation analysis technical field.The application first builds the single-machine infinite simulation model integrated with the full-link nonlinear characteristics of machine furnace electricity, supports the continuous adjustment of system short-circuit ratio;Draw the interval of five kinds of core parameters, such as speed regulation, excitation, PSS, unit inertia coefficient, short-circuit ratio, generate multi-parameter traversal sample;Set power step change condition to carry out batch simulation, automatically judge the unit operating state based on the oscillation amplitude decay rate;Finally, fit the oscillation boundary of multi-dimensional parameter space, divide stable, critical and unstable area.The application can accurately obtain the oscillation operating boundary of thermal power unit under multi-parameter coupling, with high identification precision and strong automation, can provide quantitative basis for thermal power unit parameter setting and power grid operation mode optimization.

The present invention relates to a die-casting process simulation method based on cloud computing, which belongs to the technical field of die-casting process, and comprises the following steps: step one: according to the die-casting process, the die-casting process parameters are input into the simulation software to construct an equation for simulating molten metal filling; step two: the simulation software simulates the process of metal filling according to the equation, generates a result of filling rate changing with time, and uploads it to a cloud platform; step three: the cloud platform calculates the difference between the generated result and the actual filling process, judges whether the difference is greater than a threshold value, and when the judgment result is yes, calculates a critical solid phase fraction correction value, and executes step four, and when the judgment result is no, outputs the critical solid phase fraction; step four: the cloud platform sends the critical solid phase fraction correction value to the simulation software, and the simulation software corrects it according to the critical solid phase fraction, and then generates a new result of filling rate changing with time according to the corrected equation for simulating molten metal filling, and uploads it to the cloud platform, and returns to step three.

The invention relates to the field of virtual digital simulation, in particular to a vivid model modeling and rendering method and system in an analog digital environment. The method comprises the following steps: dividing a plurality of objects to be simulated into a first simulation object and a second simulation object by adopting a first classification rule; according to the first classification rule, the objects needing pneumatic calculation are divided into first simulation objects, and the other objects are divided into second simulation objects; querying model data; creating a three-dimensional model of the first simulation object according to the first model data or the second model data; and rendering the three-dimensional model. The invention provides a classification and grading precision differentiation simulation and rendering strategy which can meet the overall requirement of a user for observation on the basis of improving the efficiency.

The invention belongs to the technical field of load tracking simulation, and aims to solve the problem of huge workload faced by manual simulation of multi-time-step continuous load tracking. The invention discloses a load tracking automatic simulation method based on a Mode-C control and operation mode. The reactivity and axial power deviation of a reactor core in the boron-free load tracking process are automatically controlled. According to the method, the automation of theoretical simulation of boron-free load tracking can be realized, the workload of manual simulation is reduced, the simulation accuracy is improved, the simulation efficiency is remarkably improved, automatic optimization of initial rod position and target axial power deviation setting can be realized, and the reasonability of simulation calculation is improved.

The invention provides a simulation modeling method and device, and the method comprises the steps: carrying out the parameter matching of a pre-obtained rigidity relation corresponding to a vehicle bushing in multiple directions, generating an equivalent model of the vehicle bushing, and enabling the rigidity relation to be used for representing the corresponding relation between the displacement and force of the vehicle bushing; based on the equivalent model and a preset finite element construction rule, a first finite element model of the vehicle bushing is constructed, and the first finite element model is a one-dimensional finite element model; based on a pre-obtained solid structure of the vehicle thrust rod, a second finite element model of the vehicle thrust rod is constructed, the second finite element model is a three-dimensional finite element model, and the vehicle lining is arranged on the vehicle thrust rod; statics simulation analysis is conducted on the first finite element model and the second finite element model, an analysis report is obtained, and the analysis report comprises simulation results of the vehicle thrust rod under different working conditions. According to the embodiment of the invention, the accuracy of bushing simulation analysis can be improved.

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

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

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

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

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

The invention provides a sodium-water reaction accident simulation method and system for a sodium-cooled fast reactor, and the method comprises the steps: constructing a sodium-water reaction model which comprises a tiny sodium-water reaction model and a large sodium-water reaction model; a sodium-water reaction simulation instruction is obtained, a target sodium-water reaction model is determined based on a reaction type identifier in the sodium-water reaction simulation instruction, and the target sodium-water reaction model is the small sodium-water reaction model or the large sodium-water reaction model; simulating a sodium-water reaction accident based on the target sodium-water reaction model to obtain a sodium-water reaction simulation result; and inputting the sodium-water reaction simulation result into a full-reactor simulation model to obtain a full-reactor accident response result. According to the invention, the accuracy of the sodium-water reaction simulation result and the whole reactor accident response result is improved.

The present invention relates to the field of viscoplastic material stress strain and failure damage simulation, and in particular discloses a phase field fracture simulation method, device, equipment and computer-readable storage medium for viscoplastic materials, which receives initial deformation field data and material loading history data of the tested viscoplastic material; loads the initial deformation field step by step according to the material loading history data to obtain the final field cumulative deformation energy density field data; wherein, after each load step calculation is completed, the corresponding stress strain field and phase field are generated, and after the corresponding cumulative strain energy density field is determined by the stress strain field, the phase field is corrected according to the cumulative strain energy density field to obtain the fracture phase field; and the next load step is calculated according to the material loading history data, the stress strain field and the fracture phase field. The present invention is closer to the actual situation of viscoplastic materials bearing loads and improves simulation accuracy.

The invention relates to a modeling method of a photoresist development rate model and a related product. The modeling method comprises the following steps: calculating a graph density map in a preset sampling window in a preset calculation range according to a mask image in the preset calculation range of an obtained mask plate graph; calculating according to the graph density map to obtain a development rate adjustment model; and adjusting the obtained basic photoresist development rate model by using the development rate adjustment model to obtain an adjusted photoresist development rate model. According to the modeling method, the developing load in the developing process can be reflected, and the simulation accuracy of the photoresist developing rate model is improved.

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

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

The utility model relates to the field of simulation devices, in particular to an indoor air flow simulation device. The utility model provides an indoor air flow simulation device which can more visually observe the indoor air flow condition and is convenient for improving the indoor air flow simulation accuracy. An indoor air flow simulation device comprises a mounting frame, connecting sleeves and screwing pieces, the connecting sleeves are connected to the left side and the right side of the mounting frame, and the screwing pieces are connected to the connecting sleeves in a threaded mode. According to the utility model, when indoor air flows, the ribbons float along with the indoor air, and then gas is introduced into the shunting pipe on the connecting seat through the butt joint nozzle, so that the gas is sprayed out from the spray head to form smoke, and the smoke flows along with the air, thereby achieving the purpose that the indoor air flowing condition can be observed more intuitively; and the indoor air flow simulation accuracy can be improved.