136 results about "Wind shear" patented technology

The invention discloses a numerical simulation prediction method and system for typhoon binocular wall structure reconstruction judgment and maintenance duration after terrain interference and a medium, and relates to the technical field of typhoon fine structure evolution description and numerical simulation. According to the method, the binocular wall typhoon is identified through multi-source data fusion, a high-resolution numerical simulation system is constructed, and a typhoon structure is divided into four quadrants for differential diagnosis according to the wind shear direction based on vertical wind shear phase limit analysis. And the distribution characteristics of the rapid vortex silking area are captured by calculating vortex silking time parameters. And establishing a ditch sinking airflow detection mechanism, and quantitatively evaluating the contribution of radial advection, tangential advection, vertical advection and friction force items to tangential wind evolution by using tangential wind income and expenditure diagnostic analysis. And calculating an energy growth rate, and predicting a double-eye wall maintaining time length. According to the method, the outer eye wall re-formation judgment is output, the outer eye wall radius zone, the maintenance duration interval and the uncertainty are predicted, and the method is suitable for real-time business and research.

The invention provides a pilot manipulation quality real-time analysis method and system in a wind shear environment, and relates to the technical field of aviation flight, and the method comprises the steps: firstly capturing flight manipulation and environment interaction data including flight state feedback data and pilot manipulation execution data; secondly, establishing a response association link set of the manipulation action and the environment change, taking the wind shear environment change as a trigger node, taking pilot manipulation execution as a response node, and taking flight state feedback as an association node; tracing the matching relation between the time sequence track of the control action and the environment change, and outputting a time sequence matching relation set; analyzing the adaptability dynamic change of the manipulation action based on the time sequence fit relationship set evolution, and outputting an adaptability dynamic change result; and finally, generating a manipulation adjustment guide based on the dynamic change result of the adaptability, assisting a pilot in optimizing manipulation actions in real time, and improving the flight safety and manipulation quality.

The invention discloses a wind profile fitting method suitable for time sequence prediction of a complex mountain wind field, and the method comprises the steps: obtaining topographic data and meteorological data, determining a wind shear coefficient of a target region, and constructing a wind profile fitting model; target area real-time topographic data and target area real-time meteorological data are obtained, the wind profile fitting model receives the target area real-time topographic data and the target area real-time meteorological data, and a wind profile set is generated; and for the target area, dynamically adjusting the wind profile parameters in real time, and generating a wind field time sequence prediction result. According to the method, complex mountain landforms, meteorological factors and space-time change characteristics of a wind field are considered, accurate fitting of wind profiles of different terrain sub-regions is realized on the basis of a terrain and meteorological data set, and wind profile fitting better fits the actual situation; on one hand, terrain and meteorological data are updated in real time, on the other hand, a dynamic self-adaptive updating mechanism is established for wind field time sequence prediction, and calculation input reasonability is guaranteed.

The invention discloses a laser radar-assisted wind power generation wind shear modeling method, and relates to the technical field of wind shear modeling, and the method comprises the steps: collecting the wind speed measurement data of a laser radar at a plurality of heights in a target fan region, and constructing a measurement volume integral operator matrix; constructing a unit induction field correction model based on large eddy simulation in combination with a gradient boosting tree; coupling the measurement volume integral operator with the unit induction field correction model, and obtaining a high-precision wind speed vertical section and a corresponding wind shear parameter through inversion; on the basis of the high-precision wind speed vertical section and the corresponding wind shear parameters, physical constraints are fused, a wind shear model is generated, and uncertainty evaluation is carried out; according to the wind shear modeling method, the problems that the measurement error of the laser radar is difficult to correct, the wind shear modeling lacks the physical constraint and the result credibility cannot be quantified are solved by constructing the volume measurement integral operator and the unit induction field correction model for coupling inversion and fusing the physical constraint and the Bayesian uncertainty evaluation method.

The invention relates to the technical field of floating type wind turbine generator operation, and discloses an evaluation method and device for coupling response characteristics of offshore wind regimes and floating type draught fans, and the method comprises the steps: obtaining sea area meteorological observation data corresponding to a target floating type draught fan, and calculating offshore wind regime data based on the sea area meteorological observation data corresponding to the target floating type draught fan; wherein the offshore wind regime data comprises a sea level roughness coefficient and a vertical wind shear coefficient, obtaining a target floating fan equipment parameter, constructing a floating fan simulation model based on the target floating fan equipment parameter, and finally performing coupling response characteristic evaluation by using the floating fan simulation model based on the offshore wind regime data. And obtaining an evaluation value of the coupling response characteristics of the offshore wind regime and the floating fan. According to the method, the response characteristics of the floating fan under the influence of the offshore wind condition are effectively evaluated, and a data basis is provided for ensuring the safe operation of the floating fan.

The invention relates to the technical field of path planning, in particular to a low-altitude airspace aircraft flight path planning system which comprises a task analysis module, an airspace modeling module, a path generation module, a feasibility verification module and a path output module. According to the method, sight distance flight rule grade judgment is introduced in airspace boundary extraction to eliminate airspace sections which do not meet the minimum sight distance reference requirement, a connection diagram is constructed, combined calculation of the wind shear angle and the building projection density is executed, and through quantitative analysis of the ratio of the path section height to the wind pressure change gradient, the wind shear angle and the building projection density are calculated. The method comprises the following steps: performing intensity risk labeling on a path in an unstable airflow area to realize path continuity and stability discrimination, constructing a continuous instruction point group based on a stable fragment sequence in a path combination stage, and setting speed and steering adjustment thresholds, so as to enhance the adaptability and execution robustness of a path execution sequence to flight control; and the air route feasibility and the risk avoidance capability in a complex low-altitude environment are improved.

The invention provides a non-linear flight control method and system for an anti-wind disturbance unmanned aerial vehicle. The method comprises the following steps: acquiring wind field disturbance characteristics in real time by using a preset meteorological radar; inputting the wind field disturbance characteristics into a preset aerodynamic disturbance prediction model to generate an aerodynamic torque fluctuation prediction value; preset dynamic filtering processing is applied to the amplitude characteristic of the aerodynamic torque fluctuation predicted value so as to generate a control instruction correction signal; and the control instruction correction signal is coupled with a preset nonlinear control law of an unmanned aerial vehicle flight control system, so that unmanned aerial vehicle attitude offset caused by wind disturbance is inhibited in real time, and unmanned aerial vehicle nonlinear flight control is carried out. According to the method, the composite defect of hysteresis and filtering mismatch of traditional linear control in a strong wind sudden change scene is overcome, stable attitude control of the unmanned aerial vehicle in low-altitude wind shear and gust sudden attack is realized, the anti-interference response speed of the unmanned aerial vehicle is remarkably improved, and the out-of-control risk of the unmanned aerial vehicle is greatly reduced.

The invention discloses a low-altitude aircraft route real-time meteorological risk early warning method and system, and belongs to the technical field of flight risk identification. The method is used for solving the technical problem that the missing report rate of sudden weather phenomena such as wind shear and micro downburst in an existing scheme is high. The three-dimensional wind shear and turbulence intensity is identified through bimodal cooperation, and the limitation of traditional single-parameter identification is broken through; through independent modeling of normal rigidity and tangential damping, the risk characteristics of vertical airflow and horizontal wind shear are decoupled, so that the risk identification precision can be effectively improved; a height self-adaptive threshold value can effectively reduce the false alarm rate of a low-altitude complex terrain scene; according to the nonlinear attenuation control, through a tanh function, a dynamic response that the larger the risk overshoot is, the stronger the control force is is, and the risk energy propagation depth can be effectively reduced; by using the amplification effect of fractional differential on weak disturbance, the detection rate of risk abrupt change can be effectively improved, and missing report of sudden risks is avoided.

The invention provides a civil aircraft safety perception method and system based on virtual flight, and relates to the technical field of aircraft safety perception. A dynamic and hierarchical three-dimensional wind shear field model is constructed through space-time alignment and fusion of multi-source meteorological data; deep coupling of wind disturbance and aircraft dynamic response is realized based on a small disturbance theory and a flight dynamics model; continuous and dynamic quantification of risks is realized by combining and analyzing flight parameters and a safety threshold value dynamically adjusted based on wind disturbance intensity and utilizing multi-parameter risk level weighted integration; according to the method, the risk coefficient is coupled with the three-dimensional terrain and the virtual flight trajectory, hierarchical color mapping is adopted to carry out visual space visualization, and a complete closed loop from environment modeling to risk early warning is formed, so that the identification accuracy and timeliness of the flight risk in the wind shear environment are greatly improved, and the scientificity and practicability of security situation awareness are enhanced.

The invention relates to a wind power plant unit operation optimization method and system based on artificial intelligence, and the method comprises the following steps: S1, data collection and processing: collecting the output power data, vibration data, temperature data, rotating speed data, yaw angle data and blade root strain data of each unit, meanwhile, acquiring upwind speed, wind direction, wind shear and turbulence intensity by using a laser radar at the top of a cabin, and performing time synchronization and preliminary noise filtering on the data; according to the invention, unit output power data, vibration data, temperature data, rotating speed data, yaw angle data and blade root strain data are continuously acquired through a data acquisition module, upwind speed, wind direction, wind shear and turbulence intensity are acquired by a laser radar at the top of a cabin, and time synchronization and preliminary noise filtering processing are combined to obtain a wind speed and a wind direction; discrete noisy points generated by wind speed pulsation, equipment jitter and environment interference can be effectively eliminated, so that the acquired data is more stable and reliable.

The invention relates to a wind shear factor calculation method based on one-dimensional wind speed measurement, and the method comprises the following specific wind speed estimation steps after preprocessing: 1, obtaining the distribution of the radial speed of meteorological echoes scanned by all horizontal azimuth angles of a radar along with the distance through a frequency domain analysis algorithm; 2, according to the radial wind speed distribution, the horizontal plane coordinates of the center position of wind shear are obtained; 3, calculating the distance from each effective range gate on the expected flight path of the airplane to the wind shear center; and 4, calculating the vertical wind speed on the expected flight path of the airplane by using a corrected vertical wind speed calculation method based on the axial symmetry non-rotation field approximation of the wind shear wind field and the non-fluid static pressure model of the near-surface wind field. The nonlinear wind speed model estimation of the vertical wind speed of the central area of the wind shear wind field is provided, the calculation amount of the calculation model is small, the method does not depend on preset parameters, and compared with a traditional method, errors are small.

The invention relates to the technical field of low-altitude meteorological science and aviation safety, in particular to a low-altitude turbulence prediction method based on multi-source observation data. The method is realized based on multi-source data, and specifically comprises the steps of data acquisition and preprocessing, unification of observation data of different data sources to a target height layer and realization of space-time matching, calculation of turbulent kinetic energy by physical characteristic quantity, wind shear, turbulence intensity weighted calculation, design of a height weight function of exponential attenuation, and calculation of turbulence intensity through weighted combination. Therefore, turbulence intensity distribution in a two-dimensional vertical plane is obtained. Through systematic multi-source data fusion, characteristic quantity extraction based on a physical mechanism, intelligent weight design and reliability evaluation, high-precision two-dimensional and three-dimensional low-altitude turbulence prediction is realized, and powerful technical support is provided for low-altitude flight safety. Meanwhile, the adaptability scheme of the single-source data ensures the practicability of the method under different equipment configuration conditions, and the method has a wide application prospect.

The invention discloses a pollution emission monitoring and early warning method based on physical prior and information value driving, and relates to the technical field of environment monitoring and pollution control, and the method comprises the following steps: collecting production side certificate data, executing time alignment and self-calibration drift removal, and constructing a standardized multi-source database; judging whether a heat island effect occurs or not, and if yes, collecting volume heat capacity, solar irradiance and heat island intensity data of a single building; according to the method, the heat island effect is introduced to judge and generate a new time-space diagram network, real-time heat island intensity changes caused by building materials and solar irradiation can be dynamically captured, and building wind field and plume data are accurately corrected. The problem that a conventional method cannot adapt to irregular fluctuation of vertical wind shear caused by the real-time heat island effect is solved, the pollution plume low-altitude compression phenomenon caused by the heat island effect is effectively corrected, and the monitoring direction is always aligned with the real diffusion path of pollutants.

The present application relates to a kind of unmanned aerial vehicle control method considering weather risk, including the following steps: real-time acquisition unmanned aerial vehicle flight environment data, synchronous receipt cloud layer evolution map and ground radar's wind shear early warning signal, process to obtain multimodal meteorological data;Predict the storm intensity distribution in future 2-5 minutes track area, and generate three-dimensional threat level grid map;For conventional meteorological risk, build threat level-avoidance strategy mapping table, judge threat level, and call corresponding avoidance strategy, guide unmanned aerial vehicle to execute corresponding avoidance action;When encountering extreme situation, activate anti-interference navigation mode, enhance flight stability by rotating speed-pitch angle collaborative control, trigger emergency protocol of alternate landing;After completing avoidance action, re-plan flight path in combination with space-time constraint, reasonably adjust flight speed.The present application also relates to a kind of unmanned aerial vehicle control system considering weather risk.The present application can improve the flight safety and stability of unmanned aerial vehicle under complex weather conditions.

The invention relates to the technical field of aviation safety and weather prediction, in particular to an aircraft bumping prediction method, system and equipment based on decoupling type physical constraint. Aligning pre-collected multi-time-sequence weather forecast data and airplane EDR data on the same space-time grid, and converting the data into probabilistic features including a mean value and a standard deviation; for sparse airplane EDR data, introducing an atmospheric physical model correction term based on a wind shear and turbulence energy dissipation rate relationship for filling, and obtaining a probabilistic input tensor; inputting the probabilistic input tensor into a pre-constructed and trained self-correlation attention model fused with physical constraints; and extracting a contribution degree matrix from the attention weight of the trained model, quantifying the contribution ratio of each forecast time point to a prediction result, and outputting a probabilistic prediction result of the airplane bumping and the corresponding contribution degree matrix as a final prediction result. A reliable basis is provided for flight decision making, and the accuracy and robustness of airplane bumping prediction are improved.

The invention discloses a low-altitude wind environment meteorological service monitoring and evaluation method and system based on an unmanned aerial vehicle cluster. The method comprises the following steps: constructing a non-uniform three-dimensional monitoring grid, and controlling an unmanned aerial vehicle cluster to collect basic meteorological data according to a three-dimensional cruise formation; calculating flow field turbulence and a wind shear index in real time based on a sliding time window, triggering locking of an abnormal core area of the flow field when the index exceeds a limit, and controlling a cluster to be switched to a multi-layer spiral envelope formation to perform encryption sampling on the abnormal core area; meanwhile, collaborative obstacle avoidance and data correction based on dynamic wake flow perception are executed, a dynamic wake flow interference cone model is constructed, whether a rear unmanned aerial vehicle is disturbed or not is judged, and accordingly a fine adjustment displacement instruction is generated or a wake flow attenuation model is called to carry out vector denoising compensation on the actually measured wind speed; and finally, constructing a low-altitude dynamic wind field model based on the corrected data. According to the invention, the problem of data distortion caused by low monitoring precision of the low-altitude wind field and aerodynamic interference in the cluster in a complex terrain is solved.

The invention discloses a wind shear dynamic risk assessment and grading alarm method, and aims to solve the problems that a wind shear detection method is easily influenced by turbulent flow and topographic factors, multi-dimensional information and environmental factors are not fully utilized, so that the false alarm rate is high, the missing report risk is high, the environmental adaptability is poor, and an effective dynamic assessment mechanism is lacked. And real-time reliability evaluation and optimization cannot be carried out on a detection result, so that the flight safety of the airplane is low. According to the method, the comprehensive risk index and multiple performances of the multi-dimensional features are evaluated according to the multi-dimensional features of the aircraft, the comprehensive reliability index is calculated according to the evaluation result, the comprehensive risk index and the comprehensive reliability index are updated according to the historical detection rate and the false alarm rate, the detection threshold value is updated according to the reference threshold value and the updated comprehensive reliability index, and the reliability of the aircraft is improved. And performing risk degree grading according to the updated comprehensive risk degree index and the detection threshold value, performing reliability grading according to the updated comprehensive reliability index, and generating grading alarm information and comprehensive decision suggestions according to the two results.

The present disclosure provides a wind turbine group and a clearance protection method of the wind turbine group. The clearance protection method comprises: determining a first wind speed at a first position of an impeller of the wind turbine group and a second wind speed at a second position of the impeller based on measured wind speed data; determining a first cumulative amount of the first wind speed within a preset time period before reaching the impeller and determining a second cumulative amount of the second wind speed within the preset time period; determining a wind shear in a specific direction between the first position and the second position based on the first cumulative amount and the second cumulative amount; and performing clearance protection based on the wind shear. The clearance protection method of the wind turbine group and the wind turbine group according to the present disclosure solve the problem that the existing clearance protection scheme cannot effectively control the blade clearance in time due to hysteresis, and can take clearance protection in advance, so that the clearance protection control is more timely and effective.

The application discloses an airborne radar downburst optimized detection method and belongs to the technical field of radar signal processing. An airborne Doppler radar is used to emit a radar waveform to a possible wind shear dangerous area in front of a route, and wind speed estimation in a transmission direction is obtained by analyzing radar echo IQ data. The application sets a pitch angle of radar scanning according to a take-off or landing stage of an airplane. After receiving the IQ signal, frequency domain correction is performed, data is preprocessed according to spectrum width information, and a wild value area is eliminated. After the preprocessing is completed, a frequency domain clutter suppression algorithm is used to suppress a ground clutter area near zero frequency, and then wind shear wind speed estimation is performed. The application proposes a novel vertical wind speed estimation model, establishes a connection between a downburst core area range and a vertical wind speed gradient, forms a detection and sensing capability for a three-dimensional area of the downburst, and proposes an airplane scanning strategy for optimizing the model.

The invention discloses a typhoon disaster assessment method, device and equipment and a storage medium, and relates to the field of typhoon disaster assessment, and the method comprises the steps: analyzing a historical typhoon path data set, determining a historical typhoon record of a target region, and determining a historical typhoon center position according to satellite data and meteorological reanalysis data; determining historical polar coordinate data of the historical typhoon based on the historical typhoon center position, and extracting a typhoon structure according to the historical polar coordinate data; the typhoon structure comprises typhoon eyes, typhoon eye walls and a peripheral wind field. Utilizing a preset power law formula to fit the historical wind speed data to determine a historical wind shear index set of the typhoon eye, the typhoon eye wall and the peripheral wind field, and establishing a target wind shear index model based on the historical wind shear index set; and determining historical wind field data in combination with a preset typhoon wind field determination model and the target wind shear index model, and inputting the historical wind field data into a preset typhoon disaster assessment model to obtain a typhoon disaster assessment result. And the typhoon disaster assessment requirement of an unconventional height layer is met.

The invention provides an experimental simulation system of an equivalent wind shear wind field. According to the system, pulse light signals emitted by a wind measurement laser radar are simulated through different delay optical fibers to reach atmospheric stratification at different positions, then delayed pulse light is emitted to different positions of the side face of a rotating disc rotating at a constant speed, and echo signals obtain Doppler frequency shifts of different sizes due to different radial speeds; based on this, the change of wind speed in wind shear is simulated. A required equivalent wind shear wind field can be customized by adjusting the length of the delay optical fiber, the diameter of the turntable and the incident position of light on the side surface of the turntable. The system is simple in structure and low in cost, and can provide an equivalent wind shear wind field with accurate and controllable wind speed and abundant changes.

The application protects a wind profile fitting method suitable for complex mountainous wind field time series prediction, including the steps of obtaining terrain data and meteorological data, determining the target area wind shear coefficient, and constructing a wind profile fitting model; obtaining real-time terrain data of the target area and real-time meteorological data of the target area, the wind profile fitting model receiving the real-time terrain data of the target area and the real-time meteorological data of the target area, and generating a wind profile set; for the target area, the wind profile parameters are dynamically adjusted in real time to generate a wind field time series prediction result. The application considers the complex mountainous topography, meteorological factors and the spatio-temporal variation characteristics of the wind field, realizes accurate fitting of the wind profile of different topographic sub-regions based on the terrain and meteorological data set, makes the wind profile fitting more in line with the actual situation, on the one hand, updates the terrain and meteorological data in real time, on the other hand, establishes a dynamic self-adaptive updating mechanism for wind field time series prediction, and ensures the rationality of the calculation input.

The invention discloses a typhoon prediction method based on a support vector machine, and belongs to the technical field of typhoon prediction, and the method comprises the steps: S1, data collection and preprocessing: collecting historical typhoon data, including a typhoon generation position, time and intensity grade, and meteorological parameters of a corresponding region; s2, feature selection and construction: selecting absolute vorticity, relative humidity, relative vertical velocity, sea surface temperature and vertical wind shear meteorological parameters as feature variables of typhoon generation prediction; s3, model training: generating a training sample set by using the processed typhoon; and S4, model application and updating: preprocessing meteorological data collected in real time, and extracting corresponding characteristic variables. Through the optimized support vector machine model and carefully selected characteristic variables, high-precision prediction of typhoon generation, path and strength is realized, the accuracy and reliability of typhoon prediction are obviously improved, and a small sample learning method is adopted to adapt to prediction requirements of different types of typhoons in different regions.

This invention belongs to the interdisciplinary field of numerical meteorology and computational fluid dynamics, and discloses a mesoscale-microscale atmospheric coupling simulation method and related apparatus. The mesoscale-microscale atmospheric coupling simulation method includes: acquiring initial field, lateral boundary conditions, and terrain data; based on the initial field, lateral boundary conditions, and terrain data, performing time integration of the microscale meteorological model within a preset time period to obtain the microscale simulation results for all main time steps; and performing spatiotemporal matching and fusion of the microscale simulation results of all main time steps with the background field data of the mesoscale meteorological model to obtain the mesoscale-microscale atmospheric coupling simulation results. The technical solution disclosed in this invention solves the problem of computational collapse in existing atmospheric coupling simulations due to steep terrain or strong wind shear, and can improve the robustness and success rate of simulation operation while ensuring the physical realism of the simulation.

The invention relates to the technical field of airborne meteorological radars, and discloses an airborne radar moving clutter suppression method and device based on mask filtering, which combine frequency domain and image domain signal processing methods, utilize an image segmentation technology to process a distance Doppler graph, combine inverted S-shaped curve characteristics of wind shear, and suppress the moving clutter of the airborne radar. A connected domain of wind shear is extracted from the distance Doppler map and used for constructing a mask filter binary mask, finally, the mask filter binary mask is used for filtering distance-Doppler domain data, non-meteorological targets such as motion clutters are filtered out, the distance Doppler map for suppressing ground clutters is obtained, and the method is simple, effective, low in calculation amount and high in reliability. The method is easy to implement, can effectively suppress motion clutters of expressways and the like near an airport runway, and reduces the probability of wind shear alarm missing of an airborne wind shear radar caused by the motion clutters of the expressways and the like.

The invention discloses a data feature and physical mechanism fused wind power generation recurrence period wind speed gridding evaluation method and system and a medium, and the method comprises the steps: firstly carrying out the spectrum analysis of a gridding historical wind speed sequence, then carrying out the high-frequency compensation, constructing an annual maximum wind speed sequence, and calculating the recurrence period wind speed at the position of a gridding point through the combination of extreme value I-type distribution; performing homogeneity test and correction on the annual maximum wind speed sequence observed by the reference station by using a method of combining RHtests and metadata, and calculating the return period wind speed at the position of the reference station by combining extreme value I-type distribution; completing (reference) station-(wind measurement) tower correction and multi-height layer extrapolation based on a wind shear index according to a strong wind sample; and on the kilometer-level grid, grid points and station tower information are fused through an assimilation framework, and a multi-height-layer return period wind speed grid point data set is generated. According to the method, the precision and the space coverage capability of the return period wind speed evaluation under the complex terrain condition are improved, and a basis is provided for wind power plant site selection, unit type selection and wind resistance design.

The invention relates to a local surface layer wind field fusion and nowcasting method, and belongs to the technical field of meteorological wind field fusion and forecasting. According to the method, the wind shear index calculated by a 90-meter anemometer tower is utilized to fill up a wind profile at the height of 90 meters above a surrounding automatic station, Barnes step-by-step corrected wind field fusion is carried out in combination with WRF-LES large eddy simulation, a convolutional neural network model is established between a large eddy simulation data set and a fused wind field data set, model parameters are obtained, and the wind field fusion is realized. And the parameters are used in WRF-LES real-time forecast to obtain proximity correction forecast of the near-earth wind field. According to the method, the local anemometer tower and encrypted automatic station data are fully applied, WRF-LES modeling is integrated, the method can be used for forecasting a local wind field, and the corresponding algorithm and process are suitable for wind field forecasting of wind power, low-altitude economy and the like.

The application relates to a wide-range wind shear generation system, a parameter determination method and a parameter control method, and belongs to the technical field of wind field simulation. The system comprises a wind field generation device, a wind direction adjusting device and a wind field simulation cabin which are sequentially arranged. The wind field generation device comprises a plurality of fans, the fan is connected with a control module, and the control module is connected with an upper computer. A plurality of wind speed sensors which are located in the wind field simulation cabin and flow to the same fixed section and are connected with the control module are arranged in the wind field simulation cabin. The wind direction adjusting device comprises a mounting frame, a plurality of staggered horizontal rods and vertical rods are rotationally connected in the mounting frame, driving pieces which drive the horizontal rods and the vertical rods to rotate and are connected with the control module are arranged on the mounting frame, each horizontal rod and vertical rod is fixedly connected with a baffle, and the edges of two adjacent baffles are attached to each other when all the baffles are located in the same plane. The application has the effects of comprehensively understanding the performance and safety characteristics of an aircraft in a complex and changeable low-altitude wind environment and providing safety guarantee.

The embodiment of the invention provides a method and device for determining the strength of a fan foundation structure, equipment, a medium and a product. Comprising the following steps: collecting type information, position information and quantity information of equipment according to area information of a to-be-determined fan; acquiring the wind resource data corresponding to the plurality of first preset heights of the to-be-determined fan in the preset acquisition time period; performing data correction processing on the wind resource data, performing division processing on the corrected wind resource data according to a wind direction based on a preset quadrant number, and determining wind resource data at a representative height in a representative year; adopting the wind shear index to calculate wind speed data and wind power density data corresponding to a plurality of second preset heights according to the wind resource data of the representative height in the representative year; the maximum wind speed of 50 years is determined; and determining the basic structure strength of the to-be-determined fan according to the 50-year maximum wind speed. According to the method, the fan is accurately optimized, and the performance of the fan is improved.

A system includes: a balloon module; a sail module; a ballast module; and a bridle assembly. The balloon module includes an inflatable element containing a volume of lifting gas. The sail module defining a first edge and a second edge and including: a control surface extending between the first edge and the second edge; payload sensors; and a motorized spool arranged proximal the second edge of the sail module. The ballast module: is arranged below the sail module; and includes a container containing a ballast material. The bridle assembly includes: a set of fixed sail cables coupling the balloon module to the first edge of the sail module; and a sail control cable wound about the motorized spool and coupling the balloon module to the second edge of the sail module.