22 results about "Wind model" patented technology

The invention discloses a floating fan numerical simulation method based on a cross-scale typhoon modeling algorithm, and aims to solve the problems that a typhoon unsteady-state wind field cannot be accurately simulated and the influence of the typhoon unsteady-state wind field on the coupling dynamic response of a floating fan cannot be accurately simulated in the prior art. The method comprises the following steps: firstly, dividing the whole typhoon process into a plurality of typical stages according to meteorological characteristics; for each stage, calculating a time-varying average wind field by adopting a parameterized mesoscale typhoon model, and embedding a three-dimensional turbulence component generated based on a microscale turbulence model to generate a high-fidelity stage wind field file; integrating the wind fields of all stages into a complete and continuous unsteady typhoon wind field input file by using a splicing algorithm; and finally, inputting the wind field file into a pneumatic-hydrodynamic-servo-elastic coupling simulation platform OpenFAST, and carrying out full-coupling dynamic response analysis on the floating fan. According to the method, the prediction precision of the load and motion response of the floating fan system under the extreme typhoon working condition is improved, and a reliable method is provided for typhoon resistance design and safety evaluation of the floating fan.

The invention provides a tunnel portal area piston wind three-dimensional wind field analysis method based on a laser radar, and belongs to the technical field of tunnel portal wind field observation, and the method comprises the following steps: obtaining the radial wind speed data of a tunnel portal area through the laser radar; acquiring a parameter information group of passing vehicles at the tunnel portal; based on the radial wind speed data of the tunnel portal and the parameter information group of the passing vehicle, piston wind three-dimensional wind field inversion processing is carried out on the tunnel portal area, and three-dimensional wind field velocity vector distribution of the tunnel portal area is generated; and outputting three-dimensional wind field velocity vector distribution. Radial wind speed data acquired by a laser radar and piston wind parameter information groups such as the speed, the position and the blocking ratio of vehicles passing through a tunnel portal are subjected to combined modeling, and a calibratable space distribution piston wind model is introduced, so that high-precision inversion of a three-dimensional wind field in a tunnel portal area is realized; the problem that the piston wind three-dimensional structure cannot be quantitatively analyzed in the prior art is solved, and the accuracy of tunnel portal wind field analysis is improved.

The invention relates to the technical field of aerospace wind tunnel test models, and provides a blowing model pressure measuring device and a machining method.The blowing model pressure measuring device comprises a model body, a pressure measuring steel sleeve and a pressure measuring pipe, the model body is provided with a first stepped hole, and the large-diameter section of the first stepped hole is close to the pressure measuring end of the model body; the pressure measuring steel sleeve is installed on the large-diameter section of the first stepped hole in a matched mode, the pressure measuring pipe penetrates out of the small-diameter section of the first stepped hole, the pressure measuring steel sleeve is provided with a second stepped hole, the small-diameter section of the second stepped hole is close to the pressure measuring end of the model body, and the small-diameter section of the second stepped hole is communicated with the pressure measuring position of the model body. The first stepped hole is formed in the model body, the pressure measuring steel sleeve is assembled on the large-diameter section, and the pressure measuring pipe penetrates through the small-diameter section, so that extrusion is avoided; a second stepped hole is formed in the pressure measuring steel sleeve, pressure is applied to a small-diameter section, the pressure measuring pipe is welded to a large-diameter section, and a positioning step is formed through the aperture difference, so that coaxial butt joint is ensured, resistance is reduced, and assembling efficiency and structural strength are improved.

The invention relates to the field of aerodynamics of wind turbine generators, and provides an axial and radial load measuring and calculating method and system based on a 2MW fan. The method comprises the following steps of: performing modeling analysis on key parts of a blade, a hub and a tower drum of a 2MW wind turbine generator, sorting wind speed data collected in a wind field to obtain wind speed distribution, wind speed height, wind speed extreme value and wind speed amplitude indexes related to a time domain, and classifying according to normal wind conditions, extreme gust, extreme coherent gust, extreme wind shear and hurricane; the method comprises the following steps: acquiring hub load data, establishing corresponding wind model data in Bladed, loading the corresponding wind model data into a fan model to obtain hub load data, acquiring spindle bearing load data according to a hub-spindle bearing load transfer coefficient, processing the data, comparing the processed data with theoretical calculation data, and feeding back the data to realize the measurement and calculation task of axial and radial loads of the fan.

The present invention relates to the fields of high-speed train aerodynamics and train wind resistance braking, and specifically relates to a numerical solution method for the safety critical wind speed of high-speed train wind resistance braking under the action of random crosswind loads. Starting from the safety braking control of a high-speed train equipped with a wind resistance braking device during the high-speed operation stage in a random crosswind environment, a high-speed train model equipped with a wind resistance braking device that meets different operating conditions and operating test conditions is constructed, a random wind model and a wind speed correction strategy are established. Through the multi-body dynamics simulation calculation of high-speed train wind resistance braking under the action of random crosswind loads, according to the maximum overturning coefficient of the vehicle, and considering the safety operation margin of random crosswinds, a theoretical evaluation and numerical solution method for the safety critical wind speed of wind resistance braking are scientifically given, which can provide strong reference and technical support for the development and application of the wind resistance braking systems of wheel-rail trains and high-speed maglev trains with a speed of 400+ km / h.

The invention relates to a method for determining the mean wind speed in a vertical plane by means of a LiDAR sensor (2), comprising performing measurements (MES), constructing a measurement model (MOD M) and a wind model (MOD V), then determining the wind speed (v) using an adaptive Kalman filter (KAL), and determining the mean wind speed (RAWS) in the vertical plane under consideration.

The present invention provides a low-order equivalent method for train running air resistance based on sensitivity analysis method, which belongs to the field of train aerodynamic modeling and optimization technology. The method includes selecting all parameters to form an influencing parameter matrix and setting the range; based on Monte Carlo sampling and matrix column vectors, exchanging to obtain a parameter sample matrix; calculating the output value Y matrix; using the Sobol index method to perform global sensitivity analysis to obtain parameter importance ranking; and performing single parameter analysis; using the single parameter analysis results to reconstruct the tunnel piston wind model to obtain a simplified tunnel piston wind model, and substituting it into the train running air resistance formula to simplify and obtain a simplified tunnel air resistance model. Starting from the air resistance problem in train operation, the present invention studies how to achieve the downgraded equivalence of the air resistance model in complex scenarios to meet the needs of engineering applications and to achieve efficient calculation and optimization of train running air resistance.

The application relates to the field of wind field prediction, and discloses a low-altitude wind field prediction system and method based on a sea-land wind model, which comprises the following steps: obtaining wind field records along a coastal observation belt and taking the fine time dislocation formed between different devices as a synchronous reference; layer by layer, energy distribution in the wind field records which changes with height, temperature difference and humidity is split; the change clues of wind field element groups reflecting fluctuation, deflection and weak rotation trend are limitedly coded, the mutual pulling degree of disturbance in each period, the energy transfer direction and the mutation sensitivity are remolded into structured data segments; unstable interaction in local areas in the wind speed, wind direction and vertical temperature difference relationship is found by using a wind field expression body, and the disturbance transmission relationship between nodes in these areas is extracted; and micro-disturbance events are compared with the long-term deviation distribution of the overall observation records. The application has the advantages of improving the capturing and expression ability of micro-scale wind field disturbance.

Methods and apparatus for detecting and measuring gas flow are disclosed, in which lidar range information acquired during detection of a gas using a lidar sensor is used together with prevailing wind data to determine local wind data for a leak location. This local wind data, which can include one or more vector or 3D wind models, is used to determine flow rates.

The invention relates to a method for determining the wind speed in the plane (PR) of a rotor of a wind turbine (1) by measuring the rotational speed of the rotor, the angle of the blades and the power produced. The method according to the invention implements a dynamic wind turbine model, a dynamic wind model and an unscented Kalman filter.

The invention relates to a method. computer program and computer program product for the determining of a wind model of a vessel as well as to a wind model determining device and vessel comprising such a wind model determining device. The wind model determining device (10) obtains at least one present sensor measurement of a vessel (26B) when it is carrying a present visible cargo (40, 42), and determines at least a part of a wind model of the vessel (26B) based on the at least one present sensor measurement.

Methods and systems for detecting and measuring gas flow are disclosed in which lidar distance information, acquired during the detection of gas using a lidar sensor, is used together with local wind data to determine a rate of flow for the detected gas. The local wind data, which may comprise one or more vectors or a 3D wind model, may be determined based on prevailing wind data and the lidar distance information, and can use computational fluid dynamics (CFD) models to determine the wind velocity through 3D structures identified using the lidar sensor. The detection of gas flow using the disclosed technology may be particularly useful for the remote detection and quantification of leaks from natural gas (methane) wells and pipelines to locate, quantify and map fugitive emissions.

The application discloses a wind turbine aeroelastic response analysis method based on measured wind conditions and joint simulation, and belongs to the technical field of wind power generation. The method comprises the following steps: obtaining measured wind conditions and fitting modeling of wind load; constructing a high-fidelity coupling model; constructing a measured wind load aeroelastic model; and performing parameterized analysis and application. The method realizes deep integration of regional measured wind conditions, a high-precision rigid-flexible coupling structure model and an aerodynamic load calculation model through joint simulation technology, overcomes the limitations of traditional methods using a simplified wind model and a rigid assumption, and greatly improves the accuracy and engineering practical value of aeroelastic response simulation of a large wind turbine in a complex real wind field.

This invention discloses a high-precision typhoon field reconstruction method based on the fusion of physical constraints and data-driven approaches. It uses SHAP values ​​to filter key driving elements from multi-source data, constructs a machine learning model to adaptively invert key structural and shape parameters of empirical typhoon models, generates a physical background wind field, and inputs it into a physically constrained deep learning network to learn the residual components between the background wind field and the true satellite observation values. Finally, the residuals are superimposed to achieve wind field reconstruction. This invention explicitly models the typhoon rotation structure using the WMConv module and employs a hierarchical physical constraint loss function, solving the problems of difficult parameter acquisition in empirical models, large structural biases, and weak physical consistency in purely data-driven methods. It achieves a balance between high precision, high efficiency, and good physical interpretability.

According to the energy storage configuration and economic operation optimization method for the wind-thermal storage system, under the condition that the energy storage capacity is reasonably configured, the output of a thermal power generating unit and a wind power generating unit is arranged, and the optimal economic operation of a power system is achieved. According to the method, an energy storage configuration and system economic operation double-layer optimization model is established. Based on a double-layer optimization model theory, an upper-layer model establishes an energy storage capacity configuration model on the basis of time granularity division to determine the energy storage capacity and the charging and discharging power limit, and a lower-layer model establishes an energy storage capacity configuration model on the basis of a reasonable wind curtailment model and a net load curve adaptive segmentation model solution to determine the energy storage capacity and the charging and discharging power limit. An optimal scheduling model considering peak regulation cost and carbon transaction is established, and an improved PSO algorithm and an NSGA-II algorithm are utilized to solve an upper layer model and a lower layer model.

The application discloses a kind of numerical simulation method of floating wind turbine based on cross-scale typhoon modeling algorithm, to solve the problem that prior art cannot accurately simulate typhoon unsteady wind field and its influence on floating wind turbine coupled dynamic response.This method first divides the whole process of typhoon according to its meteorological characteristics into multiple typical stages;For each stage, a parameterized mesoscale typhoon model is used to calculate the time-varying average wind field, and a three-dimensional turbulence component generated based on a microscale turbulence model is embedded to generate a high-fidelity stage wind field file;Use splicing algorithm to integrate each stage wind field into a complete and continuous unsteady typhoon wind field input file;Finally, the wind field file is input into the aerodynamic-hydrodynamic-servo-elastic coupling simulation platform OpenFAST to analyze the full coupling dynamic response of floating wind turbine.The application improves the prediction accuracy of floating wind turbine system load and motion response under typhoon extreme conditions, and provides a reliable method for typhoon-resistant design and safety evaluation of floating wind turbine.

The application discloses a trajectory tracking method and system of a three-degree-of-freedom vehicle model based on strong wind action, and a vehicle dynamics model including three degrees of freedom of longitudinal, lateral and yaw is established according to vehicle parameters. A tire model is established according to tire structure and parameters. In a vehicle coordinate system, a resultant force of the action of strong wind on the vehicle is decomposed into x, y and z direction components to establish a strong wind model. The influence of vertical load, roll moment and pitch moment is represented by the change of tire cornering stiffness to obtain a tire model of front and rear wheel cornering stiffness change. The influence of the tire model of front and rear wheel cornering stiffness change and the strong wind model is added to the three-degree-of-freedom vehicle dynamics model to obtain a three-degree-of-freedom vehicle dynamics model under the action of strong wind; and a trajectory tracking controller of the vehicle is further established to realize trajectory tracking of the vehicle. The application has high trajectory tracking accuracy and fast tracking timeliness.

The invention relates to the technical field of wind driven generator transmission systems, in particular to a wind driven generator gear meshing force determination method and device and a storage medium, and the method comprises the steps: building a finite element model of a target gear and a complete machine dynamic model of a wind driven generator comprising the target gear; defining and generating a turbulent wind model based on actually measured wind speed time sequence data, importing the turbulent wind model into multi-body dynamics software, calculating to obtain a load on the blade in combination with aerodynamic airfoil parameters of each section of the fan blade, and driving the whole machine dynamics model to move to obtain a position and load information corresponding to a target gear hinge point; and inputting the position and load information obtained by the complete machine dynamic model into the finite element model of the target gear, and calculating to obtain the meshing force of the target gear. According to the method, the gear meshing stress can be calculated in real time under the time-varying boundary condition in the operation process, and a more scientific basis is provided for reliable design and operation maintenance of the wind generating set.

The present invention relates to the technical field of blowing model, and discloses a rudder blade mounting structure for a blowing model, which includes a model fuselage, a rudder blade, a variable angle piece and an adjusting piece. The fuselage and the rudder blade are basically mounted and matched through respectively provided shaft holes and rudder shafts. A receiving groove is arranged inside the fuselage, so that the variable angle piece can be positioned and matched with a matching groove on the positioning shaft of the rudder blade through the receiving groove, thereby fixing the rudder blade and controlling its angle. An adjusting piece is also designed behind the variable angle piece, and the adjusting piece can control the variable angle piece through a thread provided on the fuselage, including pressing the variable angle piece to fix and position the rudder blade, and removing the variable angle piece for disassembly or replacement. The invention has a novel structure and reliable installation, can greatly improve the replacement efficiency of the rudder blade, meet the requirements of the blowing model for changing states, and has the characteristics of high structural precision, large variable angle, and simple and easy installation operation, such as the model fuselage.

This application belongs to the field of computer technology. It provides a method, apparatus, electronic device, and storage medium for displaying wind-blowing animation effects. The method includes: receiving a wind-blowing animation effect display instruction, wherein the instruction includes a target animation mode; obtaining a target animation simulation configuration file according to the target animation mode; and controlling a wind model to simulate and display wind-blowing animation effects according to the target animation simulation configuration file. Based on the above method, by using a computer program to execute the animation simulation configuration file to control the wind model used to display wind-blowing animation effects, the display of wind-blowing animation effects can be achieved. This improves the fluidity and dynamism of 3D wind and solves technical problems such as overly regular wind shaping, poor fluidity and dynamism, and rigid wind effects.

Methods and systems for detecting and measuring gas flow are disclosed in which lidar distance information, acquired during the detection of gas using a lidar sensor, is used together with local wind data to determine a rate of flow for the detected gas. The local wind data, which may comprise one or more vectors or a 3D wind model, may be determined based on prevailing wind data and the lidar distance information, and can use computational fluid dynamics (CFD) models to determine the wind velocity through 3D structures identified using the lidar sensor. The detection of gas flow using the disclosed technology may be particularly useful for the remote detection and quantification of leaks from natural gas (methane) wells and pipelines to locate, quantify and map fugitive emissions.

A service determines a Hot Dry Windy (HDW) index for a vicinity around a utility component by inputting atmospheric conditions and weather conditions in the vicinity into a HDW model and receiving the HDW index as output from the HDW model. The service determines an Energy Release Component (ERC) percentile by inputting fuel loading and combustibility characteristics into an ERC model and receiving, as output from the ERC model, the ERC percentile. The service aggregates the HDW index and the ERC percentile into a modified HDW (mHDW) metric, inputs forecasted fire characteristics for the vicinity and the HDW index into a machine learning model, and receives as output from the machine learning model a likelihood of a fire growing to a threshold size. The service displays fire risk metric for the vicinity based on the likelihood of the fire growing to the threshold size.