119 results about "Wind run" patented technology

By changing the operating modes of weather observation sensors, including weather radar, according to the weather phenomenon being predicted, weather phenomena can be predicted with higher accuracy than before. [Solution] The weather forecasting device 3 is a variable-mode weather observation sensor that observes precipitation data and wind direction and wind speed data in an observation range, which is a spatial range to be observed. It includes a weather forecasting unit 5 that receives weather observation data, including precipitation data and wind direction and wind speed data, observed by a weather observation sensor including a weather radar 1 that is positioned so that the observation range encompasses a predetermined weather forecast area, and predicts the weather in the weather forecast area for a predetermined future forecast time range and outputs weather forecast data including precipitation; a sensor data storage unit 4 that stores the installation position, observation range and observation accuracy of each weather observation sensor; and a sensor control unit 6 that receives weather forecast data and controls the weather observation sensor, including changing the operating mode of the variable-mode weather observation sensor.

The application discloses a high-rotation flying body flight parameter multi-field synchronous measurement and fusion method and system, the method utilizes a meteorological balloon to detect atmospheric parameters such as air pressure, temperature, humidity and wind direction and wind speed under current atmospheric conditions, arranges an unmanned aerial vehicle array networking as a relay node of a communication link, forms a data transmission link of a measuring device and a ground computing center, and performs positioning and monitoring on a flying body landing point. Under a unified space-time reference, target field distributed measurement and in-situ measurement data are subjected to "real-time + after-the-fact" information fusion, and the estimation precision of the whole trajectory flight parameters of the high-rotation flying body is improved. The method overcomes the limitations of conventional target field testing devices and testing means, and has the advantages of high time resolution, high spatial resolution, high signal signal-to-noise ratio, high information availability and high system integration.

This invention relates to the field of atmospheric monitoring technology, and more particularly to a carbon dioxide collection device for atmospheric monitoring, comprising: a support tube; a fixed bracket, conical in shape and fixed to the top of the support tube; a housing, fixed to the upper surface of the fixed bracket, for accommodating a filter assembly and forming a sampling airflow channel; a wind-adaptive air intake assembly, rotatably connected to the upper end of the housing, for automatically turning the air inlet to the leeward side; an air extraction power assembly, installed inside the fixed bracket, for forming a directional airflow inside the device; and a negative pressure storage tank, installed on the bottom plate of the support tube. This invention uses a vertical wing to drive the air intake square tube to automatically turn the air inlet to the leeward side, effectively avoiding direct wind and sand; the windbreak frame, driven by wind force, moves a limiting block to lock the fixing ring, stably locking the air intake square tube; this double windproof design avoids wind and sand intrusion, prevents airflow swaying, and ensures stable and reliable sampling.

This invention relates to the field of unmanned aerial vehicle (UAV) flight control technology, and discloses a method for adaptive adjustment control of UAV flight attitude. Addressing the problems of unstable flight and untimely or inaccurate attitude adjustment of UAVs in complex weather conditions and variable terrain, this method deploys multiple types of sensors on the UAV to collect flight data in real time, including information such as air pressure, wind speed and direction, and attitude angles, and transmits the data to a central processing unit (CPU). The CPU analyzes and processes the data based on a preset algorithm model. When it detects a deviation in flight attitude from a set value, it automatically adjusts the UAV's rotor speed, wing angle, and other actuators to achieve rapid adaptive adjustment of flight attitude. This method effectively improves the flight stability and reliability of UAVs in complex environments and can be widely applied in fields such as aerial surveying, material delivery, and environmental monitoring, ensuring efficient and safe operation of UAVs.

This application provides a wireless ad hoc network transmission method and system for VOCs monitoring data from oil storage tanks, relating to the field of wireless transmission technology. The method includes: deploying monitoring nodes in the tank area to collect VOCs monitoring data and meteorological data, and deploying relay nodes to collect wind speed and direction data; correcting the VOCs monitoring data based on the meteorological data to generate a data packet to be transmitted, and simultaneously generating link state parameters based on the wind speed and direction data; then determining the stability parameters of the wireless link based on the link state parameters and constructing a dynamic network topology; selecting a first transmission path for the data packet to be transmitted; and finally updating the stability parameters when the number of consecutive wind direction data changes exceeds a preset threshold, selecting a second transmission path, and switching the data packet to be transmitted to the second transmission path, thus completing the wireless ad hoc network transmission of VOCs monitoring data. This application improves the continuity and reliability of data transmission under complex meteorological conditions.

The application relates to the technical field of marine environment monitoring, and discloses a marine environment multi-parameter monitoring buoy, which comprises a base, a CTD sensor arranged at the underwater position of the base and internally integrated with a wave sensor; a support, a wind direction and speed sensor, an air pressure sensor and an air temperature and humidity sensor being mounted at the top of the support; a photovoltaic panel angle adjusting module; a photovoltaic panel frame; a cleaning assembly; and a self-adaptive angle adjusting module. The longitudinal rotating scraper is separated from seawater after rotating, so that the long-term immersion of the scraper in seawater is avoided, the corrosion of the scraper is accelerated, meanwhile, the biological organisms such as barnacles in the seawater cannot be attached and grown on the surface of the scraper, and the service life of the scraper is prolonged. The space posture of the mounting disc is adjusted through the cooperation of the telescopic adjustment, the corresponding push rod is driven to independently extend and retract, the mounting disc always keeps a dynamic horizontal state when the buoy swings with waves, and the requirements of the meteorological observation specification on the wind direction and speed measurement accuracy are met.

The application relates to a sub-threshold icing dance early warning method based on a physical information manifold space migration, and relates to the technical field of power transmission line icing dance supervision. The application is aimed at solving the problems of poor real-time performance and inability to identify early icing dance of the existing icing dance early warning. The application comprises the following steps: acquiring equivalent icing thickness by using the temperature mean value, the wind speed mean value, the relative humidity mean value, the wind direction mean value, the precipitation intensity mean value, the liquid water content mean value and the water droplet median volume diameter in a preset time period of a to-be-predicted site; performing fast Fourier transform (FFT) on the time sequence of the meteorological data to obtain a main frequency; forming a feature vector by combining the equivalent icing thickness, the temperature mean value, the wind speed mean value and the main frequency; calling a trained student model, wherein the input of the trained student model is the feature vector, and the output is an icing dance risk probability; and performing icing dance risk early warning according to the icing dance risk probability. The application supervises and early warns the icing dance of the power transmission line.

The application discloses a wind power generation site selection method based on ancient storm deposition background and relates to the field of power generation site selection, which comprises the following steps: setting a unified space reference, forming an input data set, performing wind source basin assimilation fusion, generating modern wind field three types of grids, and configuring a modern wind field deposition response calibration reference domain. Long-term wind direction and wind speed prior are established by using storm deposition records and direction evidence, annual uncertainty caused by only relying on short-term wind measurement is reduced, hard constraint filtering is formed by using soft sediment deformation risk coding and boundary stability marking, a penalty term is introduced into scoring, ground investigation and construction stage risks are reduced, candidate area output synchronously gives evidence chain index and uncertainty level, short-term wind measurement review, ground investigation review and deviation backwriting self-calibration iteration are performed, and finally, site selection achievement package containing superimposed graph and evidence chain list is solidified, so that site selection decision transparency and landing efficiency are improved.

This invention relates to the field of power system fault quantification technology, and discloses a method, system, equipment, and medium for quantifying distribution network line faults under typhoon weather. It calculates the wind-induced fault rate of distribution network lines by constructing a wind field correction model that incorporates micro-topography correction factors and wind direction-line angle correction factors. With the goal of minimizing power outage losses in the distribution network, a coupled influence model of transmission network faults on the distribution network line fault rate is constructed and solved to obtain the optimal load shedding amount for each load node in the distribution network and its corresponding operational constraint boundary. Under this boundary, the random process of load shedding allocation and load transfer of faulty lines within the distribution network is simulated using a double Monte Carlo sampling method, and the probability of line cascading faults caused by transmission-distribution coupling is calculated based on the simulation results. The combined time-varying fault rate and type of distribution network lines are determined by integrating the two fault rates, achieving accurate quantification of distribution network line faults under the influence of transmission-distribution coupling.

The application discloses a kind of wind field wind blade integrated monitoring method based on millimeter wave radar array, comprising: by the observation data obtained by millimeter wave radar array on the top of cabin is carried out distance and doppler processing, generate point cloud observation result, and construct echo energy time sequence in wind blade area, determine wind blade sweep period by peak value detection.Construct time slot control sequence, wind blade occupation period is used for point cloud reconstruction, unobstructed period is used for wind measurement.In wind blade point cloud reconstruction time slot, reconstruct wind blade point cloud by multi-channel signal synthesis, threshold detection and angle estimation etc., and extract blade state parameter;In wind measurement time slot, by multi-view radial velocity observation, establish wind speed vector inversion model, and obtain wind speed and wind direction by using weighted fusion method.Wind blade state parameter and wind field parameter are fused and output under unified coordinate system and time axis.The method does not need additional wind measurement equipment, realizes the integration, continuity and high reliable monitoring of wind field and wind blade.

The application discloses a kind of power line and adjacent structure clearance distance prediction method based on dynamic mechanical model, it is related to electric power overhead line safety assessment technical field.The prior art lacks the clearance distance prior prediction means that can comprehensively consider the coupling influence of multiple factors.The present application comprises: obtaining the basic data containing measured sag;Reverse calculation power line stress under the measurement day working condition;Solve the power line stress under the working condition to be solved using the state equation;Establish three-dimensional dynamic curve model considering the influence of sag and wind deviation;Discrete the curve into dot matrix and calculate the minimum Euclidean distance between the sensitive point, obtain the clearance distance under the working condition to be solved.The present application can determine the minimum clearance distance in the whole life cycle by traversing the list of typical meteorological working conditions and wind direction angle.The present application can realize accurate prediction of any future working condition only once on-site measurement, effectively eliminate design and construction deviation, and provide reliable prior decision basis for power line safety assessment.

This invention belongs to the technical field of offshore wind turbine generators. It proposes a floating wind turbine generator and its control method based on adaptive wind capture in response to ocean waves. A flexible adaptive adjustment mechanism is installed in the nacelle assembly and the tower. The flexible adaptive adjustment mechanism includes a hydraulic station and multiple support components connected to the hydraulic station via hydraulic pipelines. The two ends of each support component are connected to the nacelle assembly and the tower, respectively, and the multiple support components are located at different positions between the nacelle assembly and the tower. By supplying different pressures to the multiple support components, the horizontal angle of the nacelle assembly relative to the tower is adjusted, ensuring that the wind turbine assembly is perpendicular to the wind direction and guaranteeing power generation efficiency. Furthermore, the flexible adjustment method of pressure control can buffer the impact of large wave amplitude and frequency in extreme environments, ensuring control flexibility and structural stability.

The present application relates to the field of wind power generator, specifically relates to a kind of wind power generator with wind direction monitoring adaptive function, including stand, the stand top is provided with fan shell, the fan shell one side is provided with wind wheel, and generator set is installed in the fan shell inside, the fan shell both sides are symmetrically connected with the guiding wing of rotation.The present application realizes real-time wind direction monitoring by wind vane and touch control switch, can start yaw adjustment momentarily, completely get rid of the dependence on non-real-time data of remote weather station, eliminate the communication and calculation delay of traditional yaw system;While electric push rod synchronous drive locking mechanism unlocking and guiding wing swing, utilize the aerodynamic thrust to drive fan steering, ensure that wind wheel is always best windward, improve wind energy capture efficiency.In addition, electric control magnet and magnetic block cooperation can adjust magnetic force, normal working condition filters turbulent flow and prevents false triggering, when extremely strong wind, strong magnetic locking prevents equipment out of control, effectively protect unit and improve operating stability.

The application relates to a detection device capable of moving autonomously according to a wind direction, and belongs to the technical field of gas detection. The detection device comprises a gas detector, a meteorological monitoring bin used for detecting meteorological information of a monitoring area and sending the meteorological information, a track arranged in the monitoring area, a moving mechanism in communication connection with the meteorological monitoring bin and used for receiving the meteorological information and driving the gas detector to move along the track according to the meteorological information, and a power bin used for outputting a low-voltage direct-current power supply and electrically connected with the gas detector, the meteorological monitoring bin and the moving mechanism and used for supplying power to the gas detector, the moving mechanism and the meteorological monitoring bin. The application has the beneficial effect that a point type or linear detector can timely and actively and effectively detect gas leakage.

The utility model provides a kind of construction site dust monitoring device, it is related to dust monitoring technical field, direction adjusting assembly is installed on support frame, direction adjusting assembly includes shell and rotary drive part, dust monitor is set multiple groups on direction adjusting assembly, rotary drive part drives each dust monitor to rotate synchronously with respective axis center.The utility model is set through the setting of direction adjusting assembly and dust monitor, for windy weather, the direction of wind direction sensor's pointing mark is rotated with wind, when wind direction sensor changes, direction adjusting assembly can drive dust monitor to rotate, so that shell is aligned with the direction of wind, when dust monitor is unified with the direction of wind, the monitoring sample in shell can be similar to the sample collected by traditional mode, can reduce the error condition of monitoring data caused by wind direction and shell angle not unified, sampling loss, improve the accuracy of construction site dust monitoring result for windy weather.

The present application relates to the technical field of vehicle-mounted hydrogen system safety, and discloses a hydrogen leakage detection and positioning method and system for a fuel cell vehicle-mounted hydrogen system, which comprises establishing a preset candidate leakage source set, collecting concentration data of each hydrogen-sensitive sensor and wind field data of a wind speed and direction acquisition unit, forming a measured response vector at the same sampling time, calculating a predicted response vector of the candidate leakage source at each hydrogen-sensitive sensor, performing matching operation on the predicted response vector and the measured response vector, screening out a target candidate leakage source with a matching degree satisfying a preset condition, determining a target leakage position based on stability or convergence conditions of cumulative results, reading hydrogen-sensitive coating state information arranged at the target leakage position, and obtaining a final leakage position and corresponding alarm information. The present application can guide operation and maintenance personnel to quickly locate and handle the leakage point by accurately identifying the leakage source and generating alarm information, thereby reducing manual investigation time and operation and maintenance cost.

The application relates to a kind of distributed ultrasonic wind field detection methods based on multi-unmanned aerial vehicle cooperation, belong to low-altitude meteorological detection field, method includes: multi-source high-precision space-time datum acquisition;Each unmanned aerial vehicle node is launched by its ultrasonic transducer array and executes the composite modulation emission and echo demodulation of detection signal to obtain accurate sound wave round trip propagation time;Link length is weighted and fused calibration, and the spatial direction vector under non-orthogonal topology is reconstructed;Kinematics projection elimination and rotor flow field distortion compensation are carried out to extract pure aerodynamic wind field information;By constructing non-orthogonal observation matrix, the horizontal wind field component of the to-be-measured meteorological airspace is solved;Original solving vector is subjected to time domain filtering processing, and stable wind direction and wind speed information is output.The application eliminates the influence of carrier motion and mechanical vibration on acoustic measurement and adapts flexible detection topology, so that high-precision, multi-point correlation real-time stable monitoring of low-altitude area wind field is realized.

The present disclosure relates generally to visual-electronic wind indicator technology (“ViEWIT”) wind flag systems and methods for target shooting comprising one or more ViEWIT wind flags and a base unit that receives sensor data from a ViEWIT wind flag and displays data based on the received data. Additionally, the present disclosure relates to a system wherein multiple ViEWIT wind flags can communicate with each other to form a mesh network, or alternatively, act as repeaters for ViEWIT wind flags located farther away from a shooter.

A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations. The operations include defining, via a plurality of ultrasonic sensors, a plurality of detection zones, capturing, via the plurality of ultrasonic sensors, wind data from one or more of the plurality of detection zones, and determining, via a wind monitoring application, a wind direction and a wind magnitude based on the wind data. The operations also include receiving, at the wind monitoring application, weather data, executing, via the wind monitoring application, a fusion function on the wind data, the weather data, and vehicle dynamics to define fused wind data, executing, based on the fused wind data, a crosswind assist function of the wind monitoring application, and executing, via the wind monitoring application, lateral controls of the crosswind assist function.

The application provides a power prediction method based on probability space transformation and neural network fusion, comprising the following steps: S1, constructing a one-dimensional probability analyzer; S2, probability space mapping and transformation; S3, feature fusion mechanism; S4, inputting the fused feature representation into multiple series probability transformation modules to form a multi-layer stacking structure, and performing layer-by-layer feature extraction combined with a residual connection mechanism; S5, outputting the final power prediction result through a fully connected regression network; S6, model training and evaluation: performing end-to-end training on the overall model, adopting the model with the minimum error in the verification set as the optimal training model, and testing the accuracy of the model prediction in the test set. The method can effectively cope with the non-Gaussian and multi-peak distribution problems of meteorological variables such as wind speed and wind direction, has strong adaptability to complex atmospheric environment, significantly improves the accuracy and stability of wind power prediction, and has good engineering application prospect.

This invention relates to the technical field of wind power prediction, specifically a wind power prediction method based on a directed graph of multiple meteorological propagation chains. The method includes: S1, acquiring the location coordinates of the wind farm and marine meteorological information maps, and constructing a grid node feature matrix; S2, constructing directed graphs of wind direction propagation chains, wind speed propagation chains, and wave direction propagation chains; S3, extracting the adjacency matrix, extracting the feature vectors of the central nodes, and constructing a fused directed graph of multiple meteorological propagation chains; S4, splicing the input features, constructing a graph neural network, inputting the input features into the graph neural network, and outputting the predicted wind farm power value. This invention also discloses a wind power prediction system based on a directed graph of multiple meteorological propagation chains, including a data acquisition and rasterization module, a propagation chain directed graph construction module, a multi-meteorological propagation chain directed graph fusion module, and a graph neural network prediction module. This invention accurately captures the spatial propagation patterns of meteorological elements, enhancing the reliability of the prediction results.

The application is suitable for the technical field of power system analysis, and provides a wind farm wake effect calculation method, device, terminal equipment and computer program product for power system analysis, wherein the method comprises: obtaining geographical position information of a wind farm, parameter information of each wind turbine in the wind farm, and wind speed information and wind direction information of natural wind; determining a first wind speed loss caused by the wake effect of a single upstream wind turbine based on the geographical position information, the parameter information and the wind speed information; determining a second wind speed loss in a wind direction coordinate system based on the first wind speed loss and the wind direction information; and determining downstream wind speed of each wind turbine under the wake effect of all upstream wind turbines considering the influence of all target factors based on the second wind speed loss; the target factors include height factor, terrain factor, wind direction factor, multi-wind turbine superposition factor and wind flow time lag factor. The application embodiment can effectively improve the accuracy of wind farm wake effect calculation.

This utility model relates to the field of snow blowing technology and discloses a variable vent cross-section snow blowing device, including a fan, a motor, a distributor, upper and lower hydraulic cylinders, a steering hydraulic cylinder, an adjusting screw, a left air duct, a right air duct, a vent flap, a vent adjusting plate, a wind direction adjusting plate, bearings, a connecting seat, a rotating shaft, and a sealing block. The fan and the distributor are fixedly connected by bolts, and the fan is driven by the motor. The distributor's interior adopts a "human"-shaped distribution device, with the left and right air ducts installed on the left and right sides of the distributor, respectively. The left and right air ducts are adjusted up and down by the upper and lower hydraulic cylinders. The vent flaps are installed on the left and right sides of the left and right air ducts, respectively. This utility model achieves functions such as left and right snow blowing adjustment, wind speed and volume adjustment, and vent up and down adjustment by adjusting the vent wind direction, vent height above the ground, and vent cross-sectional area. It can achieve high flow rate or high velocity blowing operations, significantly improving snow removal efficiency and removal rate, and can meet various different operating conditions.

The application discloses a global average sea clutter near real-time estimation method, system, device and storage medium, including the following steps: obtaining multi-source satellite-borne radar historical backscattering coefficient data, and performing time and space matching and binning on the ERA5 wind field; an average sea clutter estimation model is established according to a geophysical model function fitting; the satellite-borne microwave scatterometer wind field is corrected in deviation and fused with a numerical weather prediction wind field, so that a high-coverage, continuous near real-time global sea surface wind field is obtained; the relative azimuth is calculated in combination with radar observation parameters and fused wind direction, and global average sea clutter data is obtained by using the model; the application improves the precision and application range of sea clutter estimation under the condition of medium and small incident angles, provides a high-quality input wind field through a multi-source wind field fusion technology, realizes rapid, stable and near real-time estimation of global average sea clutter, has high timeliness and business feasibility, and can meet the needs of near real-time sea clutter monitoring and ocean remote sensing application.

The application discloses a landfill methane emission estimation method based on satellite remote sensing observation and wind field information, belongs to the technical field of remote sensing atmospheric environment monitoring and greenhouse gas emission inversion, and comprises the following steps: acquiring TROPOMI satellite XCH4 column concentration data and performing quality control; performing vector rotation on a satellite observation field by using ERA5 wind direction data; performing area weighted resampling and synthesis on the rotated data to obtain annual average methane column concentration distribution; determining a seed point at the center of a research region, generating a methane plume mask by using a region growing algorithm, and calculating a methane enhancement value; calculating a tuning wind speed by using ERA5 wind speed data, constructing a transverse integration strip along a wind direction, and calculating a strip emission contribution; and obtaining a methane emission estimation result through abnormal value screening and average calculation. By using the method, landfill methane emission sources can be effectively identified, and estimation stability can be improved, thereby providing data support for greenhouse gas emission monitoring and inventory evaluation.

The application discloses a kind of real-time wind speed and direction sensing method using adaptive beamforming, belong to wind field sensing technical field, the sensing method specific steps are as follows:Ⅰ, initialization adaptive beamforming array, auxiliary environment sensing sensor and computing unit, and the point cloud data of monitoring area is collected in real time, constructs environment semantic map;Ⅱ, based on environment semantic map, generate initial beam weight and pointing strategy, based on the generation result, real-time adjustment each array element weight optimizes echo signal quality;The application significantly improves spatial integrity and time continuity, can actively avoid shelter and interference, key coverage key area, converge faster, higher stability, reduce the influence of abnormal data on overall wind field estimation, significantly improve reliability in complex scene, improve sensing efficiency and effective coverage rate.

The present application relates to the technical field of power prediction, and discloses a mountainous wind power prediction method and device based on terrain physical constraints. The method comprises the following steps: firstly, a terrain physical characteristic field is constructed by fusing terrain data, meteorological data and wind turbine operation data; secondly, complex physical mechanisms such as mountain obstruction, canyon acceleration, flow around and terrain shear are quantified into the model, so as to make up for the defects of the traditional statistical method, such as lack of terrain physical constraints and poor generalization; thirdly, the wind turbine is taken as a node, and the target physical correlation structure is generated by combining the dominant wind direction, the slope direction parameter of the position of the wind turbine, the terrain flow pipe function and the pressure gradient coefficient, so as to depict the spatial influence relationship of the wind turbine under the irregular distribution of the mountainous wind farm and to fuse the space-time correlation information of the wind turbine; finally, the wind power prediction is carried out based on the physically reasonable topological structure, so that the model has the rigor of the physical mechanism and the high efficiency of the data driving at the same time, and the problem that the existing technology cannot balance the prediction accuracy, the calculation efficiency and the engineering practicability is effectively solved.

This invention discloses a dual-sided synchronous spraying system for a guide trough, relating to the field of dust control technology in fully mechanized coal mining faces. It includes a guide trough body and an mounting plate; a sensing mechanism installed on one side of the top of the mounting plate; the sensing mechanism includes a storage box, a sealed door, two partition plates, multiple dust concentration sensors, multiple wind speed and direction monitors, and an intelligent control box. This invention achieves real-time monitoring and dynamic response to underground dust concentration and airflow conditions through the coordinated operation of the dust concentration sensors, wind speed and direction monitors, intelligent control box, electromagnetic control valve, and water pressure regulating valve. When the dust concentration exceeds the standard, the intelligent control box can drive the water pressure regulating valve to increase the spray intensity and the electromagnetic control valve to quickly open the spray branch. When the dust concentration reaches the standard, it controls the electromagnetic control valve to close and the water pressure regulating valve to revert, solving the problem of existing spray devices having a fixed and singular mode and being unable to adaptively adjust, thus avoiding the ineffective consumption of water and electricity.

This invention discloses a heterogeneous two-order wind power prediction method and system considering physical constraints, belonging to the field of wind power prediction and microgrid energy management technology. The method includes: acquiring and preprocessing raw data; constructing input features including wind speed, wind direction encoding, temperature, humidity, and historical power; dividing the data into training, validation, and test sets; training an XGBoost multi-step direct master prediction model using Bayesian optimization; training an LSTM model based on the prediction residuals and outputting residual prediction values; superimposing the master prediction values ​​and residual prediction values ​​to obtain a two-order prediction result; applying power boundary and ramp rate constraints, and outputting the final prediction result. This invention, by constructing a heterogeneous two-order prediction architecture of XGBoost and LSTM combined with physical constraints, improves prediction accuracy while adapting to small sample scenarios, thus enhancing the engineering usability of the prediction results.

1. Name of the product in this design: Weather Monitoring Instrument. 2. Purpose of this design: To measure data such as wind force, wind direction, and atmospheric pressure changes. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.