1642 results about "Wind direction" patented technology

The invention discloses a power transmission line icing real-time monitoring method and system based on multi-parameter fusion, and relates to the field of data processing, and the method comprises the steps: receiving conductor physical parameters at the same moment, and simulating an icing track of a target power transmission line section in combination with current environment data; determining a windward side of the icing track based on the current wind direction, and simulating a windward icing layer of the icing track by taking the windward side as a starting surface, taking the current wind speed as a reference wind speed and adopting an icing layer simulation strategy; based on the topographic data of the target power transmission line section, determining a high-risk icing area in the icing track, and determining icing layer data of the high-risk icing area; determining an icing galloping area in the icing track based on the vibration parameter and the strain parameter; and fitting the windward icing layer, the high-risk icing area and the icing galloping area with the icing track, and optimizing the fitted icing track according to the icing layer data to generate a visual interface. According to the invention, the accuracy of icing monitoring of the power transmission line can be effectively improved.

The invention relates to the technical field of stress detection, in particular to an absolute stress detection method and system for a concrete bridge, and the method comprises the following steps: obtaining stress data of a bridge girder, a support, a box girder and a main tower, collecting wind speed and wind direction sensor data, calculating a wind load gradient value, and extracting wind load primary and secondary influence regions and a transmission buffer region. And generating a wind load area stress data set. According to the method, through environmental factors and stress data, the influence of wind load on structure stress is identified, data comprehensiveness is ensured, through wind load gradient change rate calculation and stress sudden change area extraction, the structure weak point identification capability is improved, the stress fluctuation trend is quantified through time sequence analysis, and the cumulative change rate is deduced, so that fatigue damage prediction is more accurate; abnormal point identification is combined with deviation ratio analysis, measurement data is corrected, analysis reliability is improved, fatigue damage information is extracted based on stress attenuation features, local fatigue evaluation is optimized, a damaged area is accurately locked, and the accuracy of structural health monitoring is improved.

The invention discloses an intelligent precise farmland irrigation direction control system based on the Internet of Things, and relates to the technical field related to intelligent irrigation. Comprising a data acquisition module, a data processing and analyzing module, a data labeling and classifying unit, a three-dimensional coordinate model building module, a nozzle angle adjusting device, a nozzle water quantity adjusting unit and a control instruction execution unit. According to the invention, the distance between the nearest nozzle and the water-requiring position is calculated, so that irrigation water can reach the water-requiring area more efficiently, the distance is accurately calculated to ensure that water can be quickly and accurately conveyed to the required area, water loss and energy waste caused by long-distance water conveying are avoided, the water spraying direction is adjusted in combination with the wind direction and the wind speed, and the water spraying efficiency is improved. The device can effectively cope with the influence of natural wind on irrigation, and by monitoring wind direction and wind speed information in real time and combining the wind direction and wind speed information with water spraying parameters of the spray head, the system accurately calculates horizontal and vertical angle adjustment values of the spray head, so that sprayed water flow can accurately reach a water needing position.

The invention discloses an energy-saving control method based on a building group spatial form, which relates to the technical field of energy-saving control, and comprises the following steps: constructing an airflow track analysis region based on a region with hot pressure difference direction change in a spatial pressure covering sensing matrix, and collecting continuous wind direction and wind speed data; judging whether the airflow direction is abnormal or not according to the change of the flow direction consistency entropy; performing spatial coincidence processing on the spatial pressure shielding sensing matrix and the airflow direction abnormal region, and generating an air outlet ventilation and heat extraction efficiency evaluation index based on the heat conduction rate in the coincidence region and the stability of an airflow output path; and on the basis of the ventilation and heat removal efficiency evaluation index of the exhaust outlet, an exhaust response condition matrix containing a space pressure shielding parameter, an airflow disturbance level and a heat retention level is constructed, and a ventilation control judgment sequence is generated. According to the method, the problem of air exhaust failure under pressure shielding interference is solved, ventilation efficiency accurate judgment and energy-saving regulation and control optimization are achieved, and the ventilation stability and the energy utilization efficiency of the building group are guaranteed.

The invention discloses a wind power generation abnormal data analysis method and system, and relates to the technical field of data analysis, and the method comprises the following steps: constructing a wind direction change rate enhanced perception model, analyzing the potential omen of wind direction abrupt change based on an ultra-short time scale wind direction change trend curve and a wind speed fluctuation coupling index collected at multiple measurement points, and determining the wind direction abrupt change. Generating a risk early warning label of wind wheel pointing deviation; and based on the risk early warning label, executing a high-frequency yaw disturbance prediction mechanism, and predicting an inflow angle continuous offset window caused by yaw response lag by using a nonlinear time sequence evolution trend and a short-term wind direction reversal probability curve. The wind direction sudden change early warning is realized through multi-measuring-point wind direction enhanced perception and wind speed coupling analysis, the response precision is improved and the energy consumption is reduced in combination with predictive yaw compensation and torque balance, the yaw parameters are dynamically optimized by using adaptive closed loop and reinforcement learning, the inflow angle is kept stable for a long time, and the power generation efficiency and the structural safety are improved.

The invention discloses a mobile intelligent control spraying and dust-settling system, and particularly relates to the technical field of compensation or utilization of an external environment of a spraying and dust-settling spraying vehicle under a wind field disturbance condition, which comprises a plurality of wind speed and wind direction sensing nodes mounted on a lifting rod in the advancing process of the spraying and dust-settling spraying vehicle, acquiring a plurality of local wind field parameters in different heights and directions, and constructing a wind speed gradient data set based on the local wind field parameters; and performing normalization and disturbance feature extraction processing on the wind speed gradient data set to generate a wind disturbance time sequence and a spatial disturbance distribution map. By constructing a time-space coupling control mechanism fusing wind disturbance feature extraction, trend prediction and path calibration, advanced sensing of non-steady-state wind field disturbance and dynamic correction of spray response parameters are achieved, and therefore the problems of sensing-control coupling lag and spray offset errors are solved.

The invention relates to the technical field of environment modeling, in particular to a carbon accounting method and system based on artificial intelligence, and the method comprises the following steps: obtaining a carbon emission source rate, a wind direction and airflow intensity, setting a time step length, calculating the spatial distribution of a carbon diffusion trajectory, and calling an airflow influence range to calculate a diffusion path of carbon molecules. According to the method, through multi-source data fusion and dynamic calculation, a carbon emission diffusion path is accurately simulated, the joint calculation of the wind direction, the airflow intensity and the emission rate ensures the accuracy of diffusion trend depiction, the extraction of carbon concentration data is combined with the dominant emission direction, the data pertinence is enhanced, a missing region is filled through gradient difference calculation, and the accuracy of the carbon emission diffusion path is improved. Data integrity is improved, a diffusion path is optimized through error calculation and threshold judgment, the emission rate and airflow intensity are dynamically adjusted, the carbon concentration trend prediction precision is improved, space correlation factors are combined with a region adjustment mechanism, the accounting range is adjusted in a self-adaptive mode, errors are prevented from being divided, and time sequence calculation of carbon emission is optimized.

The invention provides a single-point mooring floating type fan platform capable of actively yawing, and belongs to the technical field of offshore wind power. The problem that the aerodynamic efficiency of an impeller is reduced due to the fact that a fan platform needs to bear multiple coupling effects of ocean currents and waves and the fan platform deviates from the best windward direction due to the hydrodynamic force coupling effect when an included angle is formed between the ocean current direction and the wind direction under the action of the complex ocean environment is solved. The system comprises a wind turbine generator, a mast type tower, a platform foundation, a single-point mooring device and a flow guide device, the edge of the platform foundation is connected with the single-point mooring device and can rotate by 360 degrees around the single-point mooring device. The flow guiding device is installed at the edge position of the platform foundation and arranged opposite to the single-point mooring device, the horizontal section of the flow guiding device is in a symmetrical streamline shape, and the flow guiding device is provided with a driving device which drives the flow guiding device to rotate in the horizontal direction and adjusts the acting force of ocean current on the fan platform. The power generation device is mainly used for improving the power generation efficiency of the mast type tower offshore wind turbine platform.

The invention discloses a risk monitoring and control method for offshore construction, and particularly relates to the technical field of collision control for offshore construction, and the method comprises the steps: obtaining the real-time position, the navigational speed, the course, the tonnage, the wind speed, the wind direction, the wave height, the wave direction, the flow speed, the ship type, the ship historical track and the ship behavior mode of a ship, and carrying out the preprocessing; and inputting the processed multi-source data into the constructed ship trajectory prediction model, outputting a plurality of possible trajectories and trajectory probabilities of a future time window, and then calculating a collision probability and a dynamic safety distance, thereby improving the degree of closeness between the collision probability and a real collision probability, improving the accuracy of collision probability analysis, and improving the accuracy of ship trajectory prediction. The safety boundary of the ship and the construction area is quantified in real time, the failure of a fixed threshold value in a complex environment is avoided, a dynamic judgment reference is provided for risk level classification, the risk identification precision is improved, a response instruction is matched more accurately, and the collision harm is further reduced.

The invention relates to the technical field of environment monitoring, in particular to an environment monitoring method and system based on multi-source data, and the method comprises the steps: dividing a to-be-monitored region into a plurality of environment monitoring regions, and determining the pore dynamic parameters of the environment monitoring regions to screen pore-enriched regions; constructing a feature vector set according to the pointing similarity of the plurality of wind direction characterization vectors, judging whether an interactive influence region exists, extracting wind power parameters of each feature vector in the feature vector set, and determining a region range of the interactive influence region, and obtaining a water-soil ecological coupling value of the interactive influence area to determine whether to send out an early warning prompt of environment abnormity of the interactive influence area, thereby dynamically adjusting the monitoring key point according to the specific condition of the soil quality in the area in combination with the actual environment influence factor. And the capturing accuracy of the collapse phenomenon in the monitoring area and the reliability of environment monitoring are improved.

The invention discloses a wind vibration actual measurement analysis method for a large-span steel structure roof, and belongs to the field of steel structure engineering monitoring, and the actual measurement analysis method comprises the following specific steps: I, based on the geometric and dynamic characteristics of a large-span steel structure roof structure, optimizing the arrangement of each sensor, and constructing a multi-modal heterogeneous sensing network; iI, acquiring wind speed and wind direction time sequence data according to the multi-mode heterogeneous sensing network, establishing a reconstruction model of a non-stationary wind field, and predicting time-varying distribution of wind pressure on the surface of the structure; according to the method, high-fidelity dynamic reconstruction of the wind field is realized, the authenticity of wind load input is improved, the data quality and information diversity are improved, the prediction precision and timeliness of the wind pressure field are improved, and the scientificity and the monitoring effect of an overall layout strategy are enhanced; according to the method, the accuracy of long-term performance evaluation can be improved, environment coupling simulation of structural response is achieved, the dynamic adaptive capacity of analysis is enhanced, the structural rigidity evolution rule is depicted finely, and the robustness and local recognition capacity of the model under uncertain data are enhanced.

The invention discloses an SAR sea surface flow velocity inversion method based on physical guidance and data driving fusion, and relates to the field of flow velocity inversion, and the method comprises the steps: carrying out the non-geophysical Doppler frequency shift correction of the Doppler frequency shift observed by a spaceborne synthetic aperture radar, and obtaining the geophysical Doppler frequency shift; predicting based on a wave-induced Doppler frequency shift model according to a radar incident angle, reanalyzed wind direction data, a sea surface 10-meter height wind speed inverted by an SAR (Synthetic Aperture Radar), a simulated wind wave parameter, a simulated surge parameter and a simulated maximum wave parameter to obtain a wave-induced Doppler frequency shift; the wave-induced Doppler frequency shift model is obtained based on physical guidance and data-driven modeling; doppler frequency shift generated by sea surface flow is determined according to the geophysical Doppler frequency shift and the wave-induced Doppler frequency shift; according to the method, the Doppler frequency shift generated based on the sea surface flow is converted to obtain the sea surface radial flow velocity, the wave-induced Doppler frequency shift is accurately removed, and reliable inversion of the sea surface flow velocity is realized.

A direct air capture (DAC) facility for capturing carbon dioxide (CO2) from atmospheric air is disposed on a plot of land having a prevailing wind direction and includes at least one contactor wall formed from a plurality of gas-sorbent contactors positioned side by side and a regeneration facility in communication with the plurality of gas-sorbent contactors The at least one contactor wall is disposed on the plot of land and extends along a wall axis parallel to the prevailing wind direction. Each gas-sorbent contactor of the plurality of gas-sorbent contactors includes a housing including a plurality of structural members; at least one air inlet and at least one air outlet;  a gas-sorbent interface; and at least one fan. The regeneration facility is configured to process the CO2-rich sorbent and to regenerate the CO2-rich sorbent to form a regenerated sorbent for the plurality of gas-sorbent contactors.

The invention discloses a photovoltaic support structural member strength analysis method and system based on a wind load, and relates to the technical field of photovoltaic equipment detection, the method improves the accuracy and economy of photovoltaic support wind resistance design through multi-modal data fusion and intelligent algorithm iteration, and improves the photovoltaic support structural member strength analysis efficiency. Firstly, wind speed / wind direction separation modeling based on machine learning breaks through the limitation of traditional static wind pressure calculation, and the extreme wind condition prediction accuracy is effectively improved; secondly, non-dominant dangerous working conditions such as a 52-degree inclination angle can be automatically positioned through linkage of a parameterized model and a global optimization algorithm, and the efficiency is obviously improved compared with manual trial calculation; and finally, a stress threshold dynamic early warning mechanism realizes conversion from passive checking calculation to active defense.

The invention relates to an offshore wind power plant micro-siting strategy based on an improved wake flow model, and the strategy comprises the steps: collecting, statistically analyzing the long-term wind speed and wind direction data of a target region, and constructing a corresponding probability density function model; based on a Jensen wake flow model and Gaussian distribution, an improved Jensen wake flow model and an improved Gaussian wake flow model are provided, a mathematical model of the wake flow effect of the wind turbine is established, the influence of wake flow on the output power of the wind turbine is quantified, and mutual interference between units is simulated; the wake flow modeling precision is improved, the turbulence intensity is introduced, the influence of the turbulence intensity is quantified, and a Reynolds average Navier-Stokes equation model is adopted to more accurately describe the wake flow effect between the wind turbine generators; and the probability density function model of the wind speed and the wind direction and the wake flow model are integrated, a wind turbine power curve is calculated, the total output power of the wind power plant is obtained, and the overall optimal wind turbine layout is obtained. The method can provide theoretical support and an optimization strategy for micro-siting of the wind power plant.

The invention provides a method for monitoring and controlling cable-stayed buckling construction of a concrete-filled steel tube arch bridge based on a digital twin system, and the method comprises the steps: collecting the monitoring data, such as wind speed and wind direction, arch rib stress displacement, tower bottom stress, tower deviation and cable force, through a sensor; establishing a concrete filled steel tube arch bridge construction digital twinning system based on a three-dimensional model, real-time monitoring, data analysis and a visual platform; time sequence data is decomposed into different frequency components through variational mode decomposition (VMD), a bridge construction stage prediction model is established through a long short-term memory network (LSTM), and real-time accurate prediction of the construction progress and state is achieved. And secondly, based on the prediction model and on-site real-time monitoring conditions, an intelligent load adjustment construction control method based on a digital twin system is provided, and high-precision control over automatic load adjustment of cable hoisting and real-time rectification of tower displacement is achieved. The problems that in a traditional monitoring and control method, early warning is not timely, the assembling precision is insufficient, and the arch axis shape control difficulty is large are solved.

The invention relates to the field of wind power generation control, and particularly discloses a cooperative control analysis system and method of a distributed wind power generation system. The artificial intelligence technology based on the deep learning field is used for calculating wind intensity values of a plurality of preset time points in a preset time period of the wind power plant, wind frequency values of the plurality of preset time points in the preset time period and wind frequency values of the plurality of preset time points in the preset time period. And performing feature extraction and coding on the wind speed values at the plurality of preset time points in the preset time period and the wind direction values at the plurality of preset time points in the preset time period to obtain a classification result of the type of the wind driven generator which is suitable for running. Therefore, wind energy can be effectively utilized by intelligently selecting the type of the wind driven generator which runs properly, and the stability and reliability of power generation of the wind power plant are improved.

The invention discloses a wind power cluster regulation and control method, system and device based on distributed calculation and a medium, and belongs to the technical field of wind power cluster regulation and control, and the method comprises the steps: obtaining the historical wind speed and wind direction data of each wind driven generator in a wind power cluster; calculating a wind condition correlation coefficient between any two wind driven generators; constructing a graph model of a wind power cluster; based on the clustering number, clustering wind power generators in the wind power cluster to obtain a plurality of wind power groups; on the basis of a wind power set, an optimization objective function is constructed in combination with resource constraint conditions of the distributed computing nodes, and a distribution strategy of the distributed computing nodes is determined through an optimization algorithm; and operation regulation and control of the wind power cluster are realized. According to the method, the wind regime correlation coefficient is introduced to construct the graph model, the wind regime correlation degree between the wind driven generators can be accurately reflected, and the physical reasonability of clustering division is improved. The clustering number is determined through graph feature similarity matching, and the problem that parameter setting depends on experience in a traditional clustering method is avoided.

The invention discloses a bridge vortex vibration early warning method and system based on vortex field monitoring. The system comprises a wind field acquisition subsystem, a vorticity calculation and prediction subsystem and a vortex field analysis and early warning subsystem. The wind field acquisition subsystem is used for monitoring wind speeds and wind directions of different space points around the main beam in real time. And the vorticity calculation and prediction subsystem calculates the wind speed and wind direction space point data acquired by the wind field acquisition subsystem in real time to obtain the vorticity value around the main beam, and predicts the vorticity value at the future moment. And the vortex field analysis and early warning subsystem performs frequency domain analysis on a vorticity time history, monitors and predicts vortex intensity and vortex shedding frequency in real time, and gives an early warning before vortex vibration possibly occurs. The system can give an alarm in real time according to a vortex vibration mechanism and can play a role in early warning in advance.

The invention discloses a wind generating set anti-inclination hoisting device which comprises a hoisting frame used for hoisting a generating set and a hoisting seat connected with a hoisting hook, balancing weights are slidably connected to the periphery of the hoisting frame, and the periphery of the hoisting frame is connected with the hoisting seat through a telescopic device; an inclination sensing device and a plurality of wind direction sensing devices are arranged on the hanging bracket; the inclination sensing device detects inclination of the hanging bracket and triggers the corresponding driving device to enable the balancing weight to move in the opposite direction. Each wind direction sensing device responds to wind in a preset direction range and triggers the corresponding telescopic device to stretch out and draw back so as to counteract hanging bracket inclination caused by the wind in the direction. The device can prevent inclination caused by self weight or wind power of the wind turbine generator.

The invention discloses an automatic ship driving control method and system based on artificial intelligence, and relates to the technical field of ship control, and the driving control steps are as follows: S1, obtaining a current two-dimensional coordinate position of a ship based on a satellite map, and obtaining wind direction data of the current two-dimensional coordinate position in a ship route based on a weather bureau, obtaining a ship route state construction data set; and S2, establishing a ship running model, predicting position and attitude changes of the ship in a future route in combination with real-time wind direction data, calculating a ship displacement control quantity in advance through a control algorithm, and counteracting offset generated by wind direction factors. According to the invention, the ship can timely and accurately return to a correct route, the navigation accuracy of the ship in a complex environment is greatly improved, fine adjustment of ship navigation parameters is realized, unnecessary energy waste is avoided, deviation from a target route is avoided, and the risks of collision and stranding are increased.

According to the complex mountain fan arrangement optimization method, the positions of fans in an array are adjusted one by one towards one side, the purpose of increasing the angle with the prevailing wind direction is achieved, the wake flow influence is reduced, the generating capacity is calculated and compared, and therefore the optimal fan position is determined. Through the optimization method, the position of the fan can be dynamically adjusted according to the actual situation, the wake flow influence and the shielding effect are reduced, and the generating capacity is improved. According to the method, the wind resource evaluation software micro-siting result and the wake flow adjustment strategy are combined, fan arrangement can be effectively optimized in the complex mountain environment, and the wind energy utilization efficiency is improved.

The invention provides a wind power plant wind power resource evaluation method and system, relates to the technical field of wind power resource evaluation, and aims to realize higher-reliability and more comprehensive wind power resource evaluation. The method comprises the following steps: performing wind power data acquisition at a plurality of time points in the detection time of a wind power plant, obtaining a wind power initial data set; preprocessing the wind power initial data set; performing data analysis on the wind power initial data set to obtain a wind power characteristic data set which comprises regional wind speed probability distribution, regional wind direction probability distribution and wind energy density distribution at a plurality of time points; and performing wind power resource quality evaluation based on the wind power characteristic data set. The method has the advantage that the resource evaluation of the wind power of the wind power plant is more efficient, comprehensive and accurate.

The invention discloses a control method and device of a wind driven generator, a terminal and a storage medium, particularly relates to the technical field of operation control of the wind driven generator, and is used for solving the problem that a supporting structure bears violent asymmetric loads due to dynamic response differences of wind and wave load directions in a marine environment in an existing control method. Wind direction and wave direction data are synchronously obtained in real time, the wind direction change rate is calculated, supporting structure vibration signals are analyzed to recognize wave excitation dominant frequency components, and when it is detected that wave excitation energy suddenly changes and the wind direction change rate exceeds the limit, the wind wave direction difference is analyzed; meanwhile, a wave spectrum energy concentration frequency band is determined by analyzing the tower top movement track, the load asymmetry risk level is evaluated by combining the direction difference and the wave energy concentration frequency band, finally, the yaw speed and the variable pitch speed are adjusted in a self-adaptive mode according to the risk level, and accurate recognition and early warning of the wind wave load direction mismatching working condition are achieved. And the operation reliability of the wind driven generator in extreme weather is improved.

The invention discloses a wind power plant power dynamic optimization method and system based on spectral clustering partition, and the method comprises the steps: building a long-time scale wind power plant power maximization steady-state optimization problem based on an engineering wake flow model according to the average wind speed and wind direction, and solving an optimal yaw angle; calculating a wake flow coupling relation of the wind power plant in the current wind direction according to the optimal yaw angle to construct a wake flow diagram; clustering the wake flow diagram based on a spectral clustering method, and dividing the wind power plant into a plurality of sub-regions; and constructing a short-time scale wind power plant power dynamic optimization problem with optimization targets including maximum wind power plant total power and minimum wind turbine generator thrust fluctuation for different subareas, and solving the short-time scale wind power plant power dynamic optimization problem to obtain the optimal control quantity of each generator. The wind power plant maximum power output optimization method aims at overcoming the defects of a traditional static optimization strategy in a dynamic environment, and the overall generating capacity of the wind power plant is dynamically improved.

Various implementations include a low-drag smart tether system for measuring fluid speed and direction. The system includes a sleeve, a pressure sensor, and a tether. The sleeve has a longitudinal axis and an airfoil shaped cross-section as viewed in a plane perpendicular to the longitudinal axis. The sleeve has a leading edge. The sleeve defines a tether opening extending parallel to the longitudinal axis. The pressure sensor is disposed along a surface of the sleeve. The pressure sensor is configured to measure the pressure exerted on the pressure sensor by air moving over the surface of the sleeve. The tether extends through the tether opening defined by the sleeve. The tether has a tether longitudinal axis. The tether opening is positioned such that fluid flowing around the sleeve causes the sleeve to rotate about the tether longitudinal axis.

The invention discloses a PT symmetrical hot-pressing resistance MEMS wind speed and wind direction sensor. The sensor comprises four groups of PT symmetrical MEMS resonators which are orthogonally distributed and have hot-pressing resistance feedback; the PT symmetrical MEMS resonator comprises two cantilever beam resonators with completely same structures, a coupling spring beam connected with the two resonators, and a constant current source connected with one resonator, each cantilever resonator comprises two anchor areas, a wide beam connected with the anchor areas, a narrow beam with a piezoresistive effect, a warped thin plate structure and external electrodes located on the two sides of the thin plate structure. Wind speed and wind direction signals are converted into rigidity change of the resonator array through mechanical action by means of a warped thin plate structure, and the rigidity change enables the PT symmetrical MEMS system to deviate from an EP point, so that system frequency splitting is caused. As the frequency splitting quantity of the PT symmetric system is in direct proportion to the square root of the disturbance quantity, the wind speed and direction sensor can detect tiny wind speed signals, and has the advantages of very high sensitivity, simple process, high integration level and the like.

The invention discloses an automatic cruise system for a cleaning robot of a power insulator of a transformer substation, and relates to the technical field of intelligent operation and maintenance of the transformer substation, the automatic cruise system comprises a data extraction module, a processing module, a decision module and an execution module, and solves the technical problems of excessive shutdown when a wind field approaches danger and discontinuous operation when the wind field is safe. The decision-making module sets safety indexes according to the weights of the wind speed and the wind direction, divides the wind speed into four risk intervals, divides the wind direction into three grades, calculates the total safety score of the wind field through weighted summation, corresponds to three operation grades of safety, yellow early warning and red early warning, generates differential instructions according to different grades, and sends the differential instructions to the wind field. And real-time path updating during early warning level switching is supported, and safe operation under the dynamic change of the wind field is realized.

The invention provides a control method and device for a variable pitch system of an offshore wind turbine generator, and relates to the technical field of offshore power generation. The method comprises the following steps: acquiring real-time related data corresponding to an offshore wind turbine generator, wherein the real-time related data at least comprises wind speed data, wind direction data and pitch angle data; processing the real-time related data to obtain a control instruction of a variable pitch system of the offshore wind turbine generator; the control instruction is sent to a driving unit corresponding to the variable pitch system; and blade variable-pitch control is executed on the variable-pitch system based on the driving unit. According to the method, the pitch angle is adjusted by collecting data in real time and combining with the control algorithm, so that the fan can keep optimal power output when running at different wind speeds and wind directions, and the power generation efficiency of the fan is improved; the precise control of the variable pitch system can effectively avoid the overload or overspeed of the fan.

The invention relates to a radar synthetic wind speed resolving method, device and equipment and a storage medium, and is applied to the field of radar speed measurement, the radar synthetic wind speed resolving method comprises the steps that radar sight wind speed and the rotation angle of a radar are acquired, and the rotation angle is the angle of a radar roll angle; performing radar beam azimuth calculation according to the rotation angle to obtain a radar beam vector; and performing synthetic wind speed calculation according to the radar sight wind speed and the radar beam vector, and generating scalar wind speed and wind direction. The method has the technical effect that the calculation accuracy of the synthetic wind speed is improved.