188 results about "Wind lidar" patented technology

The invention discloses a low-altitude three-dimensional wind field inversion method and system based on a single wind measurement laser radar, relates to the technical field of radar detection, and solves the technical problems that a traditional wind measurement laser radar cannot directly obtain a velocity vector, data missing of a key area is caused by a blocking effect, and detection nodes are not uniform. The method specifically comprises the following steps: S1, executing a multi-elevation-angle body scanning detection mode and a wind profile detection mode by using a wind measurement laser radar, and obtaining radial wind speed data of a target area; s2, quality control is carried out on the radial wind speed, isolated abnormal points are eliminated, and isolated data missing points are filled; s3, carrying out blocking correction on a single scanning surface by using a smooth spline interpolation method; s4, after the radial wind speed is corrected based on the wind profile, an initial background three-dimensional wind field is obtained; and high-precision wind field inversion of a wind field in a three-dimensional space can be realized by using the radial wind speed of multi-layer body scanning of a single wind measurement laser radar.

The invention provides a three-dimensional wind field inversion method of a coherent wind lidar, and relates to the technical field of lidar wind measurement, and the method comprises the steps: building a mathematical model of a coherent wind lidar receiving echo signal, and determining an optimal target detection distance; under the optimal target detection distance, emitting a modulated laser detection signal to a target wind field, and processing echo signals which are received by a laser radar and are mixed at different frequencies to obtain an echo signal light field distribution condition; calculating the radial velocity of the wind in the wind field of the target based on the light field distribution condition of the echo signal; the elevation angle of the laser radar is fixed, the four orientations are scanned, radial wind speeds corresponding to the four orientations are obtained, the atmospheric three-dimensional wind field is inverted, and real-time atmospheric wind field three-dimensional detection with high temporal-spatial resolution and high wind measurement precision can be realized.

The invention belongs to the technical field of laser radars, and particularly relates to a Rayleigh wind measurement laser radar frequency discrimination method and system. The frequency discrimination method comprises the following steps: emitting dual-frequency laser to the atmosphere in a time-sharing manner, and receiving an atmosphere echo signal after interaction between the dual-frequency laser and atmospheric molecules; introducing the atmospheric echo signal into an energy detection channel and a Fabry-Perot interferometer channel through a spectroscope; acquiring the signal intensity of the dual-frequency laser passing through the energy detection channel and the signal intensity of the dual-frequency laser passing through a Brillouin-Perot interferometer channel; and the Doppler frequency shift amount is obtained through the signal intensity of the dual-frequency laser after passing through the energy detector channel and the Fabry-Perot interferometer channel. The method has the advantages of being high in implementation performance, capable of reducing cost and complexity and high in optical stability.

The invention relates to a wind measurement laser radar and a wind measurement method. The laser radar comprises a first light source, a beam splitter, a mixed light annular module, an adjusting module, a processing module and a detection module, and by adopting the laser radar, through cooperative use of the mixed light annular module and the adjusting module, two times of frequency modulation, two times of pulse modulation and two times of power amplification can be performed on signal light of a to-be-detected target; and a hybrid optical annular module design is adopted, so that the number of passive optical devices is reduced, the integration level of the laser radar can be improved, and the additional insertion loss is small.

The invention discloses a light-weight wind measurement laser radar system based on an unmanned aerial vehicle platform. The light-weight wind measurement laser radar system comprises a servo scanning unit, a radar measurement unit and a system hanging frame, the radar measurement unit adopts a lightweight main body frame, and adopts various lightweight materials in structural design; the internal space of the radar measurement unit is divided into a plurality of different subareas, the plurality of different subareas are arranged in a stacked mode, and the aspects of hardware scheme, composition, stacking mode and the like are redesigned. Hardware and a structure are deeply fused, so that the system has obvious advantages in size and weight, miniaturization and light weight are realized, and the weight index of the radar system reaches a 5-7kg level. Wherein the servo scanning unit further comprises a two-degree-of-freedom scanning servo device which enables the system to realize three-dimensional scanning in a large range, various scanning modes such as PPI, VAD and RHI are realized, and the tail end direction of the servo scanning unit is adjusted according to the current attitude information of the unmanned aerial vehicle platform while scanning is performed; and the influence caused by the attitude change of the unmanned aerial vehicle platform is compensated.

Disclosed in the present application are a method, system and apparatus for temporarily replacing a faulty wind LiDAR. The system comprises: a detection module, used for analyzing output data of a radar, judging, on the basis of the analysis result, whether a LiDAR has had a fault, and if a fault has occurred, outputting logic 0, otherwise, outputting logic 1; a data prediction module, used for predicting five types of meteorological information the wind speed, wind direction, temperature, atmospheric pressure and humidity of wind farm on the basis of historical data and meteorological source data; and a data switching module, used for switching a data source from a simulation system data source to a wind LiDAR apparatus data source when the output logic changes from 0 to 1, switching the data source from the wind LiDAR apparatus data source to the simulation system data source when the logic value changes from 1 to 0, and maintaining an original state when the logic value remains unchanged. The present application can temporarily replace faulty wind LiDARs, thereby reducing the negative effects of wind LiDAR faults on assessment of wind farm output.

The invention relates to a floating platform-based wind measurement laser radar wind field inversion optimization method, system and device, and a medium, and the method comprises the steps: carrying out the PPI scanning through a laser radar, and obtaining the radial wind speed before correction; correcting the radial velocity component caused by the floating platform in the radial wind speed before correction for the first time; acquiring the real wind speed and wind direction at the preset position by using the mobile wind meter, and calculating the first radial wind speed corresponding to the azimuth angle of the mobile wind meter before laser radar correction according to the real wind speed and the real wind direction; performing RHI scanning at a preset position, and processing according to an RHI scanning result to obtain a second radial wind speed; based on the first radial wind speed and the second radial wind speed, carrying out second correction on the radial wind speed after the first correction; and based on the second correction result, performing inversion optimization on the sea surface wind field by adopting a VAP algorithm to obtain wind speed and wind direction data. The method can be widely applied to the technical field of remote sensing marine environment monitoring.

The invention relates to a space coupling wind measurement laser radar real-time processing method. The method comprises the following steps of performing quality inspection and data preprocessing on acquired power spectrum data; carrying out radial speed extraction on the power spectrums of the plurality of beam directions and the plurality of range gates; constructing a space coupling constraint based on the space continuity of the atmospheric wind field and the geometric law of vector projection; solving a global objective function containing a data fitting item and a spatial constraint item through a joint optimization algorithm to obtain optimal wind field estimation; and outputting the three-dimensional wind field and performing quality evaluation. According to the method, the coupling relationship between different spatial position measurement values is established by using spatial redundant information obtained by multi-beam scanning of the wind measurement laser radar, the wind field inversion precision is improved through a global optimization method, the abnormal value suppression capability is enhanced, and the spatial continuity of an inversion result is ensured.

The invention relates to the technical field of laser radar wind field inversion, in particular to a coherent Doppler anemometry laser radar-based three-dimensional wind field inversion method, which comprises the following steps of: acquiring original power spectrum data of an anemometry laser radar to be inversed in each direction, and sequentially performing interpolation processing on the original power spectrum data in each direction to obtain an inversion result; obtaining power spectrum data after interpolation in each direction; calculating to obtain a cumulative power spectrum function; and optimizing the obtained vector three-dimensional wind field by using the cumulative power spectrum function so as to calculate the maximum function value of the cumulative power spectrum function, and the three-dimensional wind field corresponding to the maximum function value is the optimal three-dimensional wind field. According to the method, all the power spectrum data after azimuth interpolation are directly processed as a whole, random noise is averaged by using an accumulation process, a real signal is highlighted, and stable and accurate three-dimensional wind field inversion can be realized even when the signal-to-noise ratio is extremely low.

The invention discloses a zoom self-calibration method for the focal length of a coherent wind lidar telescope. The zoom self-calibration method comprises the following steps: (1) performing quick and continuous zoom on a lidar to acquire echoes; (2) carrying out normalization processing on the echo signal curve; (3) determining the distance corresponding to the maximum value of the normalized signal; (4) determining a real telescope focal length according to the signal maximum value position; (5) fitting to obtain a telescope zooming calibration curve; according to the invention, the relation curve between the focal length of the laser radar telescope and the displacement of the focusing mechanism can be rapidly calibrated, rapid setting and effective recording of the real focal length are ensured, and the measurement precision and stability of a laser radar system are improved.

The invention relates to a wind measurement laser radar system, which comprises a first light source assembly for emitting first signal light and a second light source for emitting multimode pump laser, the acousto-optic device is used for performing pulse and frequency shift modulation on the first signal light to obtain second signal light; the first optical fiber is a double-cladding erbium-ytterbium co-doped optical fiber and is used for amplifying the second signal light to obtain third signal light; the polarization reflection device filters amplified spontaneous emission light in the third signal light to obtain fourth signal light; the first optical fiber further amplifies the fourth signal light again to obtain fifth signal light; the acousto-optic device performs pulse and frequency shift modulation on the fifth signal light again to obtain sixth signal light; the time division switching device controls the deflection module to deflect the sixth signal light, so that the sixth signal light is split by the beam splitting module at different time to obtain seventh signal light, the seventh signal light is emitted through different ports, the power of the two-way amplifier can be further improved, and the detection distance of the wind measurement radar is increased.

The invention relates to the technical field of airborne wind power measurement, and discloses an airborne wind measurement laser radar method and system. The method comprises the following steps: generating a scanning time sequence identifier and a path correction mark structure through scanning beat synchronization and stray light shielding processing; executing time-frequency demodulation and quality gating based on the back scattering signal to generate an observation wind speed initial value sequence; performing time alignment and motion compensation in combination with inertial navigation data, and generating a wind speed vector grid fragment through spatial interpolation and scanning geometric mapping; and finally, generating a configuration updating instruction structure through coordinate alignment and grid splicing. According to the invention, the precision and the anti-interference capability of wind field measurement in an airborne environment are effectively improved, and the data reliability and the system stability under a complex meteorological condition are remarkably enhanced through multi-source data fusion and a self-adaptive compensation mechanism.

The invention belongs to the technical field of wind measurement laser radars, and particularly relates to a wind measurement laser radar with a self-cleaning function, which comprises a machine body, heat dissipation openings are formed in the two sides of the machine body, a glass window is formed in the top of the machine body, a fixing frame is connected to the top of the machine body, and a mounting cover is connected to one end of the fixing frame. A motor is mounted in the mounting cover, the output end of the motor is connected with a first lead screw, the first lead screw is driven by the motor to rotate in a reciprocating mode, a first connecting block in threaded connection with the outer wall of the first lead screw can move along a sliding groove under the action of a sliding block, and a silica gel scraping strip and a spray head can be driven to move together; meanwhile, a suction pump is started to pump water in a water tank to a water spraying pipe, a spray head sprays water to the surface of the glass window, and a silica gel scraping strip is matched to scrape the surface of the glass window in a reciprocating mode, so that self-cleaning of the surface of the glass window can be achieved, and dust is prevented from affecting infrared laser beam penetration of the laser radar.

The invention relates to the technical field of wind lidar measurement, and discloses a wind lidar data quality control method comprising the following steps: collecting wind lidar echo signals in a period of time, the wind lidar echo signals comprising atmospheric reflection signals and noise signals; carrying out average power spectrum estimation processing on the original echo signal; gaussian filtering processing is carried out on the average power spectrum so as to suppress obvious and burst noise and interference signals, and a calculation result is used for replacing an original power spectrum numerical value; the filtered power spectrum is obtained, a least square method mathematical optimization method is adopted, model parameters of optimal fitting given power spectrum data points are searched, a prediction model adopts a low-order polynomial, and whole range gate sequence data are selected for prediction fitting. Through power spectrum estimation and noise frequency domain statistical characteristic analysis, the signal and the noise can be distinguished more accurately, so that the influence of the noise on a measurement result is effectively reduced.

The invention discloses a signal processing method and device for a wind measurement laser radar, and the method comprises the steps: carrying out the windowing interception of an original laser echo signal, and obtaining an intercepted signal; performing dual-tree complex wavelet decomposition transformation on the intercepted signal to obtain each level of approximation wavelet and each level of detail wavelet; performing correlation operation and soft threshold filtering on each level of detail wavelet to obtain a corrected detail wavelet; combining the highest-level approximation wavelet with the corrected detail wavelet to obtain a preliminary noise reduction signal; performing Bayesian maximum posteriori estimation filtering on the preliminary noise reduction signal to obtain a final noise reduction signal; performing dual-tree complex wavelet inverse transformation on the final noise reduction signal to obtain a noise reduction time domain signal; performing fast Fourier transform on the denoised time domain signal to obtain a frequency domain signal; and performing frequency spectrum correction on the frequency domain signal, and then extracting to obtain Doppler frequency. According to the invention, noise filtering of the signals of the wind measurement laser radar is realized, and the Doppler frequency extraction accuracy is improved.

The invention discloses a wind field measurement method, device and equipment and a storage medium, which are applied to the field of wind field measurement, wind field measurement is performed in a target area based on an unmanned aerial vehicle carrying a wind field measurement sensor to obtain first wind field data, and the first wind field data is corrected based on the three-dimensional speed of the unmanned aerial vehicle; performing wind field measurement in the target area based on the vertical wind measurement laser radar to obtain second wind field data, and deleting unmanned aerial vehicle turbulence interference data in the second wind field data; combining the second wind field data with the first wind field data in the non-radar blind area to obtain non-radar blind area wind field data; and determining the first wind field data in the radar blind area as radar blind area wind field data, and determining a target wind field of the target area based on the non-radar blind area wind field data and the radar blind area wind field data. The vertical wind measurement laser radar and the unmanned aerial vehicle system carrying the wind field measurement sensor are used for combined observation, combined analysis and calculation are carried out on data of the vertical wind measurement laser radar and the unmanned aerial vehicle system, and measurement accuracy is improved.

The invention relates to a near-ground different-angle wind field laser wind measurement radar antenna and a wind measurement laser radar, and relates to the technical field of laser wind measurement, and the near-ground different-angle wind field laser wind measurement radar antenna comprises an optical lens, a channel seat, a flange adjusting assembly and an optical fiber connector. An objective lens group composed of a plurality of lenses is arranged in the optical lens, one end of the channel seat is connected with the optical lens, a flange seat mounting plate is arranged at the other end of the channel seat, the flange adjusting assembly comprises a middle flange assembly and a plurality of peripheral flange assemblies, and the middle flange assembly is arranged in the middle of the flange seat mounting plate. An optical fiber connector is arranged at the end part of the middle flange assembly to form a middle view field channel; the multiple peripheral flange assemblies are arranged at different positions of the lower portion of the flange base mounting plate in a scattered mode, the end of each peripheral flange assembly is provided with an optical fiber connector, multiple peripheral view field channels are formed, and the measurement effect of the near-ground wind field can be improved.

The invention discloses a cabin type laser radar wind field detection method and system based on multi-beam expansion. The cabin type laser radar wind field detection method and system are low in cost, high in sampling density, small in fitting error and high in measurement precision. The method comprises the following steps: transmitting a plurality of groups of uniformly distributed radial detection wave beams through a cabin type wind measurement laser radar, and carrying out omnibearing scanning on a target wind field; collecting radial wind speed observation data of each group of beams, performing nonlinear fitting processing on the observation data based on a cosine fitting model, and determining a mapping relation between fitting parameters and azimuth angles; the real wind speed and wind direction of the target wind field are calculated through the fitting model; the system comprises a transmitting module (1), a receiving module (2), a fitting calculation module (3) and an output module (4). The method is applied to the technical field of wind measurement laser radars.

The invention relates to a photoelectric integrated double-frequency laser for coherent wind measurement, which comprises a first light source module, a second light source module, a first coupler module, a second coupler module, a third coupler module, a first beam splitter module, a second beam splitter module, a third beam splitter module and a first balanced photoelectric detector module, a second balance photoelectric detector module, a modulator module, an optical phase-locked loop module and a transceiver. Based on the silicon-based optoelectronic chip technology and the photoelectric hybrid packaging technology on the structural level, the coupler, the beam splitter and the photoelectric detector are integrated on the silicon optical chip, and the silicon optical chip, the DFB chip, the coupling optical path, the electrical module and the like are packaged together by utilizing the photoelectric hybrid packaging technology, so that high-density integration is realized; a heterodyne digital optical phase-locked loop technology is applied to a system level, so that a specific frequency difference exists between output signal light and reference light, and pulse light with a high extinction ratio is generated in a modulator cascading mode. Compared with a conventional single-light-source system scheme, the heterodyne Doppler wind measurement laser radar system can greatly improve the integration level, reduce the power consumption and the cost, and is beneficial to mass production, and compared with a homodyne detection mode, heterodyne detection is higher in measurement speed, simpler in scheme and better in stability. The system has extremely high expansibility, and can be applied to systems of optical fiber sensing, laser remote sensing and cold atomic clocks through operations of replacing a transmitting-receiving device, modifying a control program and the like.

The invention relates to the technical field of wind energy resource assessment, and discloses a wind resource assessment method based on a millimeter wave wind finding radar. The method comprises the steps of collecting wind field data of a target area through a millimeter wave wind measurement radar and performing preprocessing to generate a standardized data set; inputting the data into a prediction model to obtain a wind energy distribution characteristic graph; generating a parameter set by adopting threshold segmentation based on the feature map, and dynamically constructing an evaluation function for simulation evaluation; synchronously collecting actual wind energy data, and calculating a deviation matrix between the actual wind energy data and a predicted value to quantify an evaluation error; performing parameter correction on the prediction model by using the error to obtain an optimized model; and finally, regenerating a feature map by adopting the optimization model and completing resource evaluation. According to the method, through online model correction and dynamic evaluation function construction, closed-loop optimization and data driving in the evaluation process are realized, and the accuracy of an evaluation result and the adaptability to a specific site are improved.

The invention discloses a wind field super-resolution method and system based on a virtual wind lidar, and belongs to the technical field of radar simulation, and the method comprises the steps: simulating a three-dimensional transient turbulent flow wind field according to a computational fluid mechanics model, and obtaining a three-dimensional wake flow wind field containing the influence of airflow around a building; a radial projection visual angle of the simulated wind measurement laser radar converts a wind field slice with a preset height into a corresponding radial speed field, and simulated scanning wind field data and random sampling wind field data are generated through a simulated structured radar scanning process and random sampling according to a preset radial distance resolution and a scanning stepping angle. And based on the random sampling wind field data and the radial velocity field, constructing training data to train a modern generation type denoising model, and inputting the simulated scanning wind field data into the trained modern generation type denoising model to obtain a reconstructed radial wind field. According to the invention, the problems of pulse crosstalk, spectrum broadening, prolonged signal accumulation time and poor system stability caused in practice in the prior art are solved.

The invention discloses a turbulence correction and verification method based on a wind lidar. The method comprises the following steps: S1, constructing grid data of a test area based on DEM data with 30m resolution and a vegetation coverage map with 30m resolution of the test area; s2, on the basis of the grid data of the test area, fluid simulation parameters, simulation reference wind speed and reconstructed wind speed of the test area are obtained through fluid simulation calculation, so that a wind speed correction coefficient is obtained; parameters of fluid simulation comprise a turbulence model, an inlet inflow broad line and roughness; s3, real-time wind speed and real-time wind direction are obtained based on the test area foundation wind measurement laser radar, and real-time turbulence is obtained through calculation; compared with the prior art, the virtual anemometer tower is constructed on the basis of a plurality of three-dimensional laser anemometer radars, point location measurement of a traditional anemometer tower is replaced by point location measurement of the virtual anemometer tower, and a convenient, real-time and reliable data source is provided for turbulence correction and verification of the foundation anemometer laser radars. And the accuracy of actual measurement of turbulence based on the ground-based anemometry laser radar is improved.

The invention discloses an aircraft wake flow identification method, system and device based on a wind lidar and a storage medium, and belongs to the technical field of radar detection. The method comprises the following steps: acquiring low-resolution laser radar detection data; calculating the central position of an aircraft trailing vortex pair according to the low-resolution laser radar detection data, and dividing the low-resolution laser radar detection data based on the central position of the aircraft trailing vortex pair to obtain an input region; and inputting the input region into a pre-trained aircraft wake flow super-resolution model to obtain a high-resolution reconstructed aircraft wake flow field. According to the invention, the problems of fuzzy wake flow structure, large vortex core position deviation and underestimation of vortex circulation caused by insufficient range resolution of a wind measurement laser radar in the prior art are solved, and the detection precision and parameter identification capability of the laser radar on aircraft wake flow are effectively improved.

The invention relates to the technical field of wind shear early warning, and provides a wind shear early warning method based on an airport wind lidar, which comprises the following steps of: 1, acquiring high-resolution three-dimensional wind field detection data based on high-resolution multi-mode continuous observation of the airport wind lidar; 2, performing data quality control on the three-dimensional wind field detected by the wind measurement laser radar based on a K-field frequency method; 3, performing wind shear identification inversion on the quality control data; 4, according to different influences of different wind shear sizes on flight control of the aircraft, performing early warning classification of different degrees on the wind shear of the horizontal wind; step 5, using divergence and a logistic regression model to optimize a wind shear value, and reducing a false alarm rate; and step 6, based on the airplane report of the airport, selecting a wind shear process, and checking and evaluating a wind shear early warning result. According to the invention, wind shear early warning can be well carried out.

The invention provides a three-dimensional scanning wind measurement laser radar system for an offshore rocket platform, which comprises a three-dimensional scanning laser radar, a shipborne attitude compensation module, a data processing module and a protective cover, and is characterized in that the three-dimensional scanning laser radar is used for emitting laser pulses and receiving original detection signals which are scattered by aerosol and penetrate through the protective cover; correcting the direction of the scanning head according to the attitude compensation signal, and outputting scanning track correction data; the shipborne attitude compensation module monitors the attitude change of the platform and generates a compensation signal to counteract the shaking influence; after the data processing module preprocesses the original signal, atmosphere three-dimensional wind field data is calculated in combination with scanning track correction data; the protective cover isolates tail flame heat radiation, strong light and seawater erosion and is used for guaranteeing detection stability; based on an offshore rocket platform scene, platform shaking is offset through shipborne attitude compensation, tail flame and seawater interference is isolated through a protective cover, the atmospheric three-dimensional wind field is calculated in combination with data processing, and the high-precision wind measurement requirement in the marine environment can be effectively met.

A Rayleigh Doppler temperature measurement and wind measurement LiDAR, comprising a laser emitter (100), a frequency calibration device (200), and a laser receiver (300). The laser emitter (100) comprises a seed light generating device (110), a pulsed laser (120), and a laser emission coupling unit (130); the seed light generating device (110) is used for generating first seed light and second seed light under the control of a control voltage signal, wherein the first seed light comprises sub-seed light of three different frequencies in a time sequence; the pulsed laser (120) outputs first pulsed laser light when the first seed light is injected into the pulsed laser (120); the laser emission coupling unit (130) is used for generating emission laser light emitted to the atmospheric environment and second pulsed laser light on the basis of the first pulsed laser light; the frequency calibration device (200) is used for outputting the control voltage signal and a voltage level signal on the basis of second seed light and the second pulsed laser light; and the laser receiver (300) is used for measuring both the wind speed and temperature in the atmospheric environment on the basis of a backscattered echo signal and the voltage level signal.

The invention relates to the technical field of laser radar wind measurement, and discloses a lightweight coherent wind measurement laser radar system, which comprises a telescope system, a rotary loading main body shell, a scanning servo system, a laser emission module, a signal processing module, an environment monitoring module and a multi-mode communication module. Polarization control strategies are set according to different scanning directions, and the consistency standard of laser echo signal quality is guaranteed; meanwhile, whether the optical transmission distortion phenomenon exists in the scanning process or not can be recognized in real time by monitoring the spectral characteristics of the light source and the offset state of the preset reference in real time, the accuracy of Doppler frequency shift calculation is guaranteed, and the system error of wind field inversion is further reduced; whether an optical scanning axis deviates from a theoretical pointing reference or not is judged in real time by resolving a spatial deviation value of a radar body rotation attitude and a standard scanning track; therefore, the system can avoid the detection omission of the key atmospheric structure.

The invention discloses a Doppler laser radar blind area compensation method based on a side backward light scintillation principle, and belongs to the technical field of large airflow field detection. According to the method, a wind field in a dead zone range of the Doppler wind measurement laser radar is taken as a detection object, the laser light intensity on a detection path is obtained through a Sammer imaging principle, and detection distance information is obtained through a geometrical relationship between pixels and laser light. According to a Taylor freezing condition, when the time required by the development of a group of aerosols is greater than the time required by the aerosols to pass through the two laser beams, determining that the aerosols are 'frozen'. When the distance between the two detection points is small enough, the two received signals have high similarity, and the time is hysteretic due to the distance between the detection points. The wind speed information is acquired by using the change of the brightness fluctuation of the adjacent pixels on the measurement path along with time, the dead zone of the Doppler wind measurement laser radar is compensated, and the wind speed measurement precision is improved. The method also has the advantages of low cost, high convenience and high temporal-spatial resolution.

The invention provides a dynamic yaw error compensation method and system based on a cabin type wind lidar. The method comprises the following steps: firstly, acquiring three-dimensional wind field data at a preset distance in front of a wind turbine, simultaneously acquiring operation state parameters of the wind turbine, then extracting unstable transverse component and longitudinal velocity gradient distribution in an incoming wind flow direction, and then calculating a real-time yaw error amount caused by dynamic change of a wind field; and converting the real-time yaw error amount into a feed-forward compensation control signal by combining the dynamic response characteristic of the yaw system of the wind turbine, finally inputting the feed-forward compensation control signal into a main controller of the wind turbine, and adjusting an angle set value of the yaw system so as to complete yaw error compensation of the laser radar. According to the technical scheme, the alignment precision, the wind energy capturing efficiency and the operation stability of the wind generating set under the complex changing wind condition are improved, and high-precision and high-reliability compensation of the dynamic yaw error is achieved.

The invention discloses a two-dimensional wind field inversion method and system based on a wind lidar and image processing, and belongs to the technical field of radar simulation, and the method comprises the steps: obtaining smoothed radial wind speed data, and carrying out the inversion of a two-dimensional wind field through a speed-azimuth angle processing method; constructing a two-dimensional wind speed distortion criterion according to the radial wind speeds observed by two adjacent azimuth angles of the current observation azimuth angle, correcting the radial wind speed of the current observation azimuth angle, and extracting a corrected wind field structure component of a distortion area according to the corrected two-dimensional wind speed; subtracting the structure component of the radial wind field from the smoothed radial wind speed data to obtain the texture component of the radial wind field; converting the texture component of the radial wind field into the texture component of a two-dimensional wind field; and adding the texture component of the two-dimensional wind field and the corrected wind field structure component of the distortion area to obtain reconstructed wind field data. According to the method, the problem of high probability of overestimation or underestimation in the inversion process in the prior art is solved.