147 results about "Environmental Wind" patented technology

The invention discloses an air pollution intelligent early warning method and system based on machine learning, and the method comprises the steps: obtaining the multi-source data of environment, wind direction, geography, traffic, emission, population and the like, carrying out the multi-scale decomposition of the environment data, extracting the short-term fluctuation and long-term trend, and achieving the time series prediction in combination with a historical mode; constructing a regional association graph by using a graph convolutional network, identifying cross-regional diffusion features, and fusing wind direction and space information to determine a high-risk region and a potential diffusion path; carrying out weighted calculation in combination with traffic and emission data to obtain a comprehensive risk score, and completing region division and early warning level determination; and finally, generating a regional visual early warning report. According to the invention, pollution trend accurate prediction and diffusion path identification can be realized.

The invention relates to the technical field of power construction, discloses a multi-system coupling control crossing frame erection collaborative operation method and system, and aims to improve the stability and collaborative efficiency of an erection process. The method comprises the following steps: establishing a three-dimensional digital model of a spanning structure body, synchronously accessing a plurality of sensor acquisition systems, and acquiring space coordinates of key nodes of the spanning structure body, environmental wind load and operation state information of construction equipment in real time; dynamically generating an anti-overturning constraint condition based on space coordinates and wind load information, and generating a cooperative scheduling strategy in combination with an equipment state; and constructing a space pose matching model to output deviation correction parameters. The stability of the frame body is evaluated through the dynamic analysis model, a load early warning index is generated, and an equipment action instruction is generated through the path optimization model. And adjusting the operation priority according to the early warning index, and synchronously sending the updated priority and the action instruction to the terminal to realize multi-system closed-loop control.

The invention relates to the field of digital twin driving, and discloses an electric actuator energy consumption optimization method and system based on digital twin driving, and the method comprises the steps: collecting the current, torque, rotating speed, temperature, vibration and environment wind speed data of an electric actuator in real time, carrying out the online recognition of the thermal-friction coupling parameters of the actuator through a multi-scale sliding window method, and carrying out the online recognition of the thermal-friction coupling parameters of the actuator; the operation state of the actuator is dynamically updated in combination with the load damping change and the long-term health condition; the load evolution trajectory of the actuator is extracted, transient fluctuation and long-term degradation trend analysis are combined, and the energy consumption deviation and the performance bottleneck existing in the operation process of the actuator are recognized; according to the method, related actuator components and mutual influences thereof are comprehensively analyzed, parameters, feature weights and updating frequencies of the digital twin model are dynamically adjusted, and a real-time energy consumption optimization control strategy is generated. The method has the advantage that the real-time response capability and the long-term self-adaptive precision are improved.

The invention relates to the technical field of hoisting load unmanned aerial vehicles, in particular to a hoisting load unmanned aerial vehicle load distribution algorithm, which comprises the following steps: acquiring attitude data, load position coordinates and quality of an unmanned aerial vehicle body in real time, and detecting environment wind field distribution; constructing a dynamic graph structure including the unmanned aerial vehicle attitude data, the load position coordinates and quality and the environmental wind field nodes; calculating a current total gravity center deviation, a physical residual error and a compensation weight matrix of each execution mechanism; generating a compensation instruction by using a space-time fusion prediction network, inputting historical wind field data and a current node state, and predicting a load offset in a future time window through a space-time fusion neural network; calculating a target displacement of a balancing weight and a flexible tentacle joint angle sequence; the balancing weight is controlled to move to the target displacement along the linear guide rail, and the flexible tentacle joint is driven to reach the target angle; incremental compensation is carried out based on the adjusted total gravity center position; vibration energy at a main resonant frequency is suppressed.

According to a wind-driven bubble generating device. The device requires no external power supply and is driven only by environmental wind. By setting a user-interactive linear regulating mechanism, the core advantage of accurately controlling air inlet volume and bubble output volume based on wind power is realized, significantly enhancing energy efficiency ratio and user experience. The movement of the device adopts a quickly detachable and assemblable modular design, which simplifies cleaning, replacement and maintenance, greatly prolonging the service life of products and ensuring hygiene. Various mounting and fixing methods allow the device to be flexibly adapted to various wind-energy-utilizing places including inflatable castles and tents, greatly expanding its application scenarios. The device has the advantages of reasonable overall structural design, good sealing performance, liquid and air leakage prevention, simple and intuitive operation, safety and reliability, and has a huge market application prospect.

An adaptive air intake control system and method for cooling towers, coupled with airflow diversion for energy saving, belongs to the field of adaptive control system technology. The system includes an information acquisition unit, an execution unit, and an adaptive control unit. The information acquisition unit collects environmental wind parameters and key operating parameters in real time. The execution unit includes multiple independent fan blade groups with circumferential partitioning and vertical layering for precise execution of commands. The adaptive control unit executes operational decisions, selecting the dominant operating mode from airflow diversion energy saving, anti-freezing energy saving, and anti-drip energy saving modes; it then identifies and outputs wind condition characteristics and thermal anomaly indicators through key parameter status identification, and generates control commands based on the adaptive control strategy and command generation. The system forms a closed loop, capable of adaptively adjusting the identification model and control strategy based on feedback. A corresponding control method is also disclosed, enabling intelligent and precise control of air intake in cooling towers under complex environments, improving cooling efficiency and energy saving while ensuring anti-freezing safety.

The application discloses a comprehensive linkage alarm system for fire hazards and structure instability of timber buildings, and relates to the technical field of timber safety monitoring, which comprises the following modules: a multi-dimensional heterogeneous signal acquisition module for collecting data and constructing real-time state monitoring data sets; a structure spectrum benchmark modeling module for constructing a thermal-rigidity attenuation theoretical model; a thermal-frequency correlation analysis module for generating a thermal-frequency deviation degree index; a structure state determination module for identifying timber pyrolysis states and structure instability risks; a cascade response module for executing corresponding fixed-point spraying control, evacuation path planning and alarm output; and a self-adaptive feedback correction module for warehousing data and correcting thermal aging parameters. The application establishes a correlation model of thermal and rigidity by fusing thermal imaging and vibration data, effectively eliminates environmental wind load noise, realizes accurate identification of internal hazards of timber buildings, and improves the accuracy of building monitoring and the efficiency of emergency response.

The present application provides a kind of snow drifting device applied to environmental wind tunnel, belong to the technical field of wind tunnel test equipment research.The purpose is to solve the problem of poor uniformity, low particle size control precision, easy to block, space size restriction in prior art.In the present application, mist droplet generation section, mixing section and snow treatment section are connected in sequence to form a wind tunnel;fan array, cooler and two-phase nozzle are installed in mist droplet generation section from bottom to top, mist droplet inlet and water inlet are communicated with two-phase nozzle through mist droplet water inlet pipe branch and mist droplet air inlet pipe branch respectively;screening snow grid is provided at the connection of mixing section and snow treatment section, snow sweeping mechanism is installed above screening snow grid, brush driving motor output is connected with driving shaft through reducer, and brush is provided on driving shaft;snow bearing net and movement mechanism are installed below screening snow grid.The present application solves the problem of poor uniformity, low particle size control precision, easy to block, space size restriction in prior art.

The invention relates to the technical field of automobile testing, in particular to a method for testing long braking attenuation of an automobile by using an environmental wind tunnel. Comprising the following steps: installing a chassis dynamometer in an environment wind tunnel, and installing data acquisition equipment on a tested vehicle; setting a tested vehicle in the environment wind tunnel, setting environment parameters in the environment wind tunnel as target working condition parameters, and setting a chassis dynamometer as downhill working condition parameters; after the environment state and the dynamometer are stable, the vehicle is controlled to run continuously within the speed precision range required by the speed spectrum through continuous braking, or when the vehicle is controlled to run continuously to a set emergency deceleration point, emergency braking operation is executed, and experimental data are collected synchronously until a preset test ending condition is met; and after filtering and noise reduction, abnormal value elimination and altitude-slope conversion processing are carried out on the acquired experimental data, the performance attenuation law and the emergency efficiency of the braking system are analyzed. According to the technical scheme, the test precision of the long-braking attenuation of the automobile can be improved, and the test cost is reduced.

The invention belongs to the field of automobile testing, and relates to a calibration method for automobile winter heating by using an environmental wind tunnel, which comprises the following steps: S1, collecting an original dynamic road spectrum, and processing to generate a standard dynamic road spectrum for low-temperature calibration of the environmental wind tunnel; s2, operating the environment wind tunnel based on the standard dynamic road spectrum, acquiring an actual environment control value of the environment wind tunnel in real time, and judging whether the environment wind tunnel meets the winter heating calibration requirement or not according to a preset inspection rule; s3, an air conditioner heating system calibration test is executed in the environment wind tunnel according to a preset winter steady-state working condition matrix, and an initial heating control parameter table is generated; and S4, on the basis of test data corresponding to the initial heating control parameter table, constructing a system dynamic model, optimizing a strategy network in the system dynamic model through imitation learning and course reinforcement learning, and generating a complete heating control parameter table through optimized strategy distillation. The problems of poor comparability and repeatability of calibration data and insufficient calibration precision are solved.

The invention relates to an airborne laser three-dimensional scanner control method and system and a scanner, and relates to the technical field of scanners, and the method comprises the steps: collecting the environment detection information of a detection range; scanning movement parameters are obtained according to the detection range and the environment detection information; the environment wind speed is called from the environment detection information; obtaining scanning suspension power in combination with the environment wind speed, the scanning movement parameters and the scanning specification; comparing exceeding conditions of the scanning suspension power and the reference suspension power to calculate deviation suspension power; obtaining a escort number and an air curtain parameter based on the deviation suspension power, the scanning movement parameter and the scanning specification; and combining the scanning specification and the scanning movement parameter to obtain a scanning range, acquiring scanning information of the scanning range according to a scanner of the scanning unmanned aerial vehicle to refresh the air curtain parameter, and controlling the escort unmanned aerial vehicle with the escort number to cooperatively fly with the scanning unmanned aerial vehicle according to the air curtain parameter. The method has the effect of improving the scanning accuracy of the airborne laser three-dimensional scanner.

The invention provides a running test system, method and device based on artificial intelligence, and the system comprises a dynamic airflow sensing module, a sole biomechanics collection module, an electromyographic signal processing module, an AI cooperative calculation module, and a test result output module. The dynamic airflow sensing module is used for collecting environment wind speed, running relative speed and body posture angle and generating airflow related data, and the sole biomechanical collecting module is used for collecting sole peak pressure, contact time and contact angle and generating biomechanical data; the electromyographic signal processing module is used for collecting an electromyographic energy value and an electromyographic change rate and generating electromyographic data, and the AI cooperative calculation module is electrically connected with the dynamic airflow sensing module, the sole biomechanics collecting module and the electromyographic signal processing module. The running performance evaluation accuracy and the damage early warning timeliness can be improved.

The utility model relates to the technical field of energy storage devices, and discloses an energy storage device and an energy storage system.The energy storage device comprises a cabinet body, explosion venting plates and a smoke exhaust baffle, the cabinet body is provided with at least one energy bin, the explosion venting plates are arranged in the cabinet body, the explosion venting plates are arranged corresponding to the energy bins, the smoke exhaust baffle is arranged in the cabinet body, and the energy bins are arranged in the cabinet body. The smoke exhaust baffle is arranged in the energy bin and located on the peripheral side of the explosion venting plate, the smoke exhaust baffle is suitable for guiding substances discharged in the energy bin to be discharged in the discharging direction defined by the smoke exhaust baffle when the explosion venting plate is opened, and drainage holes are formed in the smoke exhaust baffle. According to the energy storage device, the smoke exhaust baffle is arranged, and the water drainage hole is formed in the bottom of the smoke exhaust baffle, so that on one hand, directional emission of high-pressure gas fire flow can be achieved, the influence of environmental wind on the high-pressure gas fire flow is reduced, the influence on surrounding energy storage devices is avoided, and potential safety hazards are reduced; the smoke exhaust baffle can be higher in stability and reliability and longer in service life.

The invention discloses an air-cooled heat exchange system adaptable to crosswind and a control method thereof.The system comprises an air-cooled heat exchanger, a differential pressure sensor, a fan and two temperature sensors, the fan is arranged on the outer side or the inner side of the air-cooled heat exchanger, and the fan can form a forward working mode or a reverse working mode; the pressure difference sensor detects the air pressure difference between the external environment air pressure outside the outer side of the air-cooled heat exchanger and the air pressure inside the air-cooled heat exchanger, the two temperature sensors detect the temperature of the inlet end and the outlet end of the air-cooled heat exchanger respectively, or one temperature sensor detects the temperature of the outlet end of the air-cooled heat exchanger, and the other temperature sensor detects the temperature inside the air-cooled heat exchanger. The differential pressure sensor, the air-cooled heat exchanger outlet end temperature sensor, the air-cooled heat exchanger inlet end temperature sensor and the fan are electrically connected with the control system. In the control method, the control system controls the fan to work according to the air pressure difference and the temperature difference of the two sensors. According to the invention, the system can run stably when encountering crosswind.

The invention provides a flood discharge atomization protection method, and relates to the technical field of water conservancy and hydropower engineering, and the method comprises the steps: obtaining wind speed and wind direction data through a meteorological station; based on the acquired data, analyzing the influence of an environmental wind field on flood discharge atomization rainfall, determining atomization rainfall distribution, during analysis, decomposing the wind field into X-Y direction wind speed variables according to an extreme wind speed value and the most unfavorable local wind direction, and superposing the X-Y direction wind speed variables with a water tongue wind field in a windless state to complete wind field calculation; on the basis of atomization rainfall distribution, areas are divided according to atomization rainfall intensity, corresponding protection measures are taken according to the areas, and the protection measures comprise arrangement of flood discharge and energy dissipation buildings. By the adoption of the scheme, the flood discharge atomization protection effect is improved.

This invention relates to the field of windproof safety technology, and particularly to a nitrogen-buffered and hydraulically clamped rail-coordinated windproof system for ship unloaders. The system includes: a data acquisition module for acquiring real-time operating status data and ambient wind speed data of the ship unloader; a data analysis module for determining the real-time braking status of the ship unloader based on the real-time operating status data and ambient wind speed data; a windproof module including an independent hydraulic rail clamp installed at the operator's cab of the ship unloader, an electric intelligent self-locking cable device installed on the traveling mechanism of the ship unloader, and a nitrogen-buffered stop device installed below the operator's cab; and a control module for determining the control method of the ship unloader based on its real-time braking status. This invention improves the overall windproof capability of the ship unloader in high-wind environments through a three-level coordinated control system of nitrogen-buffered passive energy absorption, hydraulically clamped rail active braking, and electric cable rapid anchoring.

This invention discloses an intelligent planning method and system for aircraft transportation missions based on real-time power prediction. The method includes: constructing a full-physics power model that couples the dynamic characteristics of the inertial measurement unit, the environmental wind field vector, and battery characteristics, and completing offline calibration; during mission execution, using an extended Kalman filter to jointly estimate the load mass and wind field vector in real time, and dynamically solving for the optimal cruise speed that minimizes energy consumption per unit distance; predicting the aircraft's remaining support distance based on the real-time calculated state and "energy bucket" model; and automatically triggering a hierarchical closed-loop strategy—prioritizing waypoint elimination, replanning the route, or immediate return—when energy is insufficient by continuously monitoring and comparing with mission requirements. This invention achieves accurate endurance prediction and autonomous mission adjustment under load changes and wind field disturbances, significantly improving the safety, adaptability, and completion efficiency of aircraft in multi-point transportation missions such as express delivery.

The embodiment of the invention relates to the technical field of fan operation, in particular to a fan group classification control method and device of a direct air cooling power station. The method comprises the steps of obtaining a sensitivity vector of each fan based on a simulation operation parameter of each fan at a preset environment wind speed; based on the sensitivity vector, performing classification processing on the fan group to obtain a preset number of target classifications; on the basis of different influence degrees of the environmental wind on each target classification, the operation frequencies of all the fans in each target classification are adjusted, so that the operation frequencies of all the fans in each target classification are consistent, and the target classifications are in a decreasing rule according to the sequence of the influence degrees of the environmental wind from high to low; and the fan group in the air cooling power station is subjected to classified control. According to the technical scheme, the fan groups can be controlled in a classified mode according to different influence degrees of environmental wind on the fans, the influence of the environmental wind on the fans is reduced, the system adapts to complex terrain conditions, and the power generation efficiency is improved.

The invention discloses a wind turbine generator yaw control method, device and equipment and a medium, is applied to a wind turbine generator yaw system and relates to the field of automation, and the method comprises the steps that whether load reduction yaw is triggered or not is determined according to the running state of a wind turbine generator and environmental wind power data, if yes, a current target time node is recorded, and a corresponding load reduction preparation mark is set; determining whether a preset load shedding yaw condition is met or not based on the operation state of the wind turbine generator, the environmental wind power data, the target time node and the load shedding preparation mark, and setting the current load shedding yaw mark as a first mark or a second mark according to the met condition; if the mark is the first mark, directly executing the load reduction yaw operation, and if the mark is the second mark, adjusting the current rotating speed of the engine, and executing the load reduction yaw operation after the rotating speed is smaller than a preset rotating speed threshold value; and if the load shedding yaw operation is completed, setting the current load shedding yaw mark as a second mark. Therefore, yaw control can be carried out through an intelligent load reduction yaw control means.

The invention relates to the field of fire simulation, and discloses a high-rise or super high-rise building facade three-dimensional fire simulation system under the action of environmental wind and a control method. The building main body comprises a plurality of cavities, the inner side of each cavity is provided with an indoor heat preservation layer and a fire source simulation device, the front face of each cavity is provided with a window, the side faces of each row of cavities are provided with observation windows, and the front face of the building main body is further provided with an outer vertical face; movable side walls are arranged on the two sides of each cavity; the front face of each cavity is provided with a telescopic cornice and an outer wall heat preservation layer. A multi-fan active control wind tunnel device; and the data acquisition system comprises a temperature measurement unit, a heat flow measurement unit, a radiation measurement unit and a camera shooting unit. According to the invention, a fire occurrence scene of an actual high-rise or super high-rise building facade can be comprehensively simulated, and building fire spreading experiment research under various scenes of vertical three-dimensional fire of the high-rise building facade from inside to outside and from outside to inside is facilitated.

The application relates to the technical field of generators, and discloses a high-efficiency piston generator with heat dissipation, which comprises a power generation body mechanism, both sides of the power generation body mechanism are provided with air collecting and guiding mechanisms, and one side of the air collecting and guiding mechanism is provided with an air inlet guiding mechanism. The high-efficiency piston generator with heat dissipation is provided with the power generation body mechanism, the air collecting and guiding mechanism, the air inlet guiding mechanism, a water mist spraying cooling mechanism and a water seepage collecting mechanism, can adopt active spraying cooling technology during use, can uniformly spray micron water mist to the surface of a power generation unit through the water mist spraying mechanism, can form directional airflow by combining the air inlet guiding structure to accelerate the evaporation of liquid drops, can efficiently take away heat, and compared with a traditional passive heat dissipation mode, the scheme can significantly improve the heat dissipation efficiency and reduce the dependence on environmental wind speed.

The invention relates to the technical field of tricycles, in particular to a windproof control system of a tricycle. The tricycle windproof control system comprises the controller, the wind speed sensor and the speed limiting module, the wind speed sensor and the speed limiting module are in communication connection with the controller, the high-precision wind speed sensor is used for collecting the environment wind speed in real time, and the controller automatically judges the wind power level and the vehicle rollover risk; and when risks exist, the controller carries out speed limiting control on a vehicle power part through the speed limiting module, and the upper limit of the vehicle speed is dynamically adjusted. According to the scheme, automatic monitoring, risk pre-judgment and active speed limiting of the driving safety of the tricycle in the strong wind environment are achieved, the driving stability and the rollover resistance of the tricycle are effectively improved, and the system is simple in structure, rapid in response, high in reliability and high in practicability.

The invention relates to the technical field of engineering monitoring in a frozen soil region, and particularly discloses a remote monitoring and diagnosis system for a working state of a hot rod in a frozen soil region based on edge calculation, which comprises the following steps of: constructing a thermodynamic state matrix with a space-time correlation characteristic by deploying a multi-source sensor to synchronously collect temperature, pressure and environment wind speed data of a key part of the hot rod; a feature extraction method combining multi-scale decomposition and physical constraint is adopted to generate nonlinear dynamic response features capable of distinguishing environmental interference and real faults; a multi-dimensional diagnosis vector is constructed based on phase-space reconstruction and trajectory analysis, and comprehensive health degree parameters are generated through feature level fusion in combination with real-time environment parameters; a health state classification model with a fuzzy boundary is established, and four-level health level judgment considering the duration effect is achieved; through correlation analysis of environment disturbance and state evolution, an edge-cloud collaborative adaptive optimization mechanism is constructed.

The application relates to the technical field of wind power generation equipment, in particular to a fan blade and a wind driven generator. The fan blade of the application adopts a symmetrical airfoil design and has obvious aerodynamic performance advantages. The symmetrical airfoil makes the fan blade maintain relatively uniform airflow distribution in the rotating process regardless of the angle, thereby reducing turbulence and resistance and improving wind energy conversion efficiency. In addition, the head and tail design of the symmetrical airfoil makes the fan blade more balanced under stress, enhances the structural stability and service life of the fan blade. Through real-time optimization of the airfoil by a curve equation, the current environmental wind power conditions can be further matched, so that the fan can maintain the best operating state under different wind speeds.

The invention discloses an unmanned aerial vehicle high-rise outer wall self-adaptive cleaning method, and belongs to the technical field of industrial automation and intelligent process control. The method comprises the steps that basic cleaning parameters are preset according to an outer wall material, and an initial path is planned; in the cleaning process, the distance between the unmanned aerial vehicle and the wall surface and environment wind speed data are synchronously collected and transmitted to the intelligent control module; the intelligent control module adaptively adjusts the injection pressure and the rotating speed of the soft brush through a multi-parameter coupling model based on the material type, the real-time spacing and the wind speed data; meanwhile, the flight speed and the safety distance are adjusted according to the wind speed, a buffer supporting arm is instructed to stretch and retract according to the distance deviation, flight control fine adjustment is matched to maintain a constant operation distance, and the stretching amount of a soft brush is adjusted in a linkage mode to cope with concave-convex wall faces; and the unmanned aerial vehicle returns after cleaning is completed. The high-rise outer wall self-adaptive cleaning device can achieve safe and accurate self-adaptive cleaning of the high-rise outer wall, improves the operation stability and the cleaning effect, and is suitable for high-altitude cleaning scenes of various outer wall materials such as glass, stone and metal.

The application discloses an unmanned sailboat regional position keeping method and system, and determines whether the unmanned sailboat is in a regional position keeping range according to real-time position and regional position keeping information of the unmanned sailboat. Whether the regional position keeping range is in a forbidden area of the unmanned sailboat is determined according to the real-time position, the regional position keeping information and an environmental wind direction. If the regional position keeping range is in the forbidden area of the unmanned sailboat, the unmanned sailboat sails into the regional position keeping range in a zigzag mode. If the regional position keeping range is not in the forbidden area of the unmanned sailboat, the unmanned sailboat calculates an expected heading angle by using an integral LOS algorithm, and adjusts a posture of a sail according to a difference between the expected heading angle and a heading angle, so that the unmanned sailboat is always in the regional position keeping range. The application effectively solves a position error of the unmanned sailboat caused by factors such as ocean current when the unmanned sailboat performs a specific regional task, and ensures stable sailing and reliability of the unmanned sailboat when performing the specific regional task at sea.

The dust falling device for water conservancy construction comprises a base, a spraying barrel, an air supply system and a water supply system and further comprises a spraying power adjusting mechanism. The spraying power adjusting mechanism comprises a pressurization driving source and a wind collecting hopper, the pressurization driving source and the wind collecting hopper are connected with the water supply system and used for adjusting spraying power at a barrel opening of the spraying barrel, when field wind power is increased, the field wind power enters the pressurization driving source through the wind collecting hopper, the water pressure of a pipeline in the water supply system is increased, and then the spraying power is enhanced; the spraying power adjusting mechanism further comprises an anemograph, and the anemograph is connected with the air supply system and used for adjusting airflow in the spraying barrel, so that the larger the field wind power is, the larger the airflow generated in the spraying barrel is. The spraying power and the spraying direction of the fog gun machine are adjusted in real time according to changes of the wind direction and the wind speed of water conservancy construction site environment wind, and the problems that when the wind force and the wind speed of site wind change, the spraying range is prone to being reduced, and the dust falling effect is greatly reduced are solved.

This application relates to the field of wind power generation control technology, specifically to a wind farm collaborative control method based on three-dimensional flow field reconstruction. The method includes: acquiring the turbine location coordinates, nacelle azimuth angle, operating status data, and environmental wind field data of wind turbines within the wind farm; establishing a wind farm spatial coordinate model and reconstructing three-dimensional dynamic flow field information; determining the flow field influence relationship and flow field influence propagation time between wind turbines based on the three-dimensional dynamic flow field information; predicting the future wind field state of downstream affected turbines based on the flow field influence relationship and the three-dimensional dynamic flow field information, and identifying the target wind turbines; generating a yaw correction for the target wind turbines as a collaborative control variable and performing predictive cyclic collaborative control. This application can improve the accuracy of wind farm wake influence identification and improve the overall energy capture effect of the wind farm.

The present disclosure provides an environmental wind speed testing device, which is suitable for being assembled on a rail train and comprises a wind measuring unit arranged on the rail train, the wind measuring unit being suitable for obtaining an environmental wind parameter of an environmental wind passing through the rail train; a first database, which obtains aerodynamic load data of the rail train according to the environmental wind parameter and a real-time vehicle speed of the rail train; a second database, which obtains dynamic data of the rail train according to the aerodynamic load data and the real-time vehicle speed; and a warning unit, which judges a running state of the rail train according to the dynamic data and outputs prompt information in response to the running state; wherein the environmental wind parameter at least includes a wind direction and a wind speed of the environmental wind.