155 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 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 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 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 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 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.

The invention relates to the technical field of laser radar meteorological detection, and discloses a single wind measurement laser radar three-dimensional wind field inversion method based on deep learning, and the method comprises the following steps: S1, obtaining original power spectrum data obtained by scanning and detecting an atmospheric wind field through a single Doppler wind measurement laser radar; s2, preprocessing the original power spectrum data, and extracting observation characteristic parameters at least comprising a radial wind speed, a signal-to-noise ratio and a spectrum width; s3, the observation characteristic parameters are input into a pre-trained deep learning wind field inversion model, and the deep learning wind field inversion model takes the observation characteristic parameters as input and outputs three-dimensional wind vectors of three-dimensional space grid points with the position where the laser radar is located as an original point. The three-dimensional wind vector is directly inverted from the radial observation data of the single laser radar through the deep learning model, cooperation of multiple devices is not needed, and the system cost and deployment complexity are remarkably reduced.

The present disclosure can be applied to the technical field of LIDAR. Provided are a method and apparatus for correcting a wind speed error of a multi-sea-state variable-integration wind LIDAR. The method for correcting a wind speed error of a multi-sea-state variable-integration wind LIDAR comprises: acquiring attitude data of a wind LIDAR and a signal-to-noise ratio of an echo signal; minimizing a relative error value between simulation information of a degree-of-freedom coordinate value and measurement information of the degree-of-freedom coordinate value to obtain correction information of the degree-of-freedom coordinate value; on the basis of the signal-to-noise ratio and a buoy amplitude, determining a target pulse accumulation count from a pulse accumulation count lookup table; on the basis of the target pulse accumulation count, accumulating an initial pulse power spectrum to obtain a target pulse power spectrum; on the basis of a center frequency corresponding to the maximum power density in the target pulse power spectrum and the correction information of the degree-of-freedom coordinate value, obtaining a corrected radial wind speed; and performing inversion on the basis of the corrected radial wind speed to obtain a target wind speed vector.

The application provides a wind field measurement method and system based on a wave glider laser wind radar, comprising: measuring a wind field radial velocity based on a laser wind radar carried on a wave glider platform, measuring attitude data by an IMU, and measuring speed data by a GPS; obtaining an installation external parameter of an optical axis of the laser wind radar relative to a ship body of the wave glider platform through installation calibration; fusing and solving the attitude data measured by the IMU and the speed data measured by the GPS to obtain attitude angles and motion parameters of the wave glider platform; performing attitude compensation on the wind field radial velocity according to the attitude angles and the installation external parameter to obtain a real measurement direction, and performing motion compensation on the wind field radial velocity in the real measurement direction according to the motion parameters; performing vector inversion and height mapping on the wind field radial velocity after the motion compensation to obtain a wind profile. The application realizes high-precision measurement of an air wind field above a sea surface to a height of 2 km.

The present invention provides a dual-path controlled injection locking method for a satellite-borne high-energy, single-frequency laser. The dual-path controlled injection system includes an injection locking controller, a seed laser, an oscillator, an oscillator power supply, an RTP phase modulator, a piezoelectric ceramic (PZT), a photodetector, a Q-switch driver, an amplifier, an amplifier power supply, and a Q-switch. This novel dual-path controlled injection locking technology utilizes an RTP phase modulator for rapid cavity length scanning, supplemented by a PZT for slow cavity length scanning. This solves the problem of poor energy stability in satellite-borne, high-energy, compact, single-frequency lasers, improving energy stability by an order of magnitude and achieving high-energy, single-frequency pulsed laser output on the order of 100 millijoules with an output better than 0.5%. The high-stability, high-energy, single-frequency laser output achieved by this invention can be used in satellite-borne wind measurement lidars and satellite-borne hyperspectral lidars.

This application discloses a method, apparatus, equipment, and medium for fusing atmospheric boundary layer wind speed data based on a hybrid-system wind-measuring lidar, relating to the field of computer technology. The method includes: simultaneously acquiring coherent wind measurement data and direct sounding wind data currently measured by the hybrid-system wind-measuring lidar during atmospheric boundary layer wind field observation; performing spatiotemporal registration and preprocessing on the coherent wind measurement data and direct sounding wind data; fusing atmospheric boundary layer wind speed data based on the preprocessed wind measurement data and a current preset fusion model to obtain the current fused target wind speed data; the preset fusion model is a model constructed based on a heterogeneous dual-branch deep neural network; and determining the target atmospheric boundary layer wind profile based on the hybrid-system wind-measuring lidar and the target wind speed data. This application can achieve high-precision wind profile fusion, improving the accuracy, precision, and environmental robustness of atmospheric boundary layer wind speed data fusion.

The invention provides a train operation environment monitoring method, a train and a storage medium, and is applied to the technical field of rail transit and the technical field of computers. The method comprises the following steps: controlling a coherent Doppler wind measurement laser radar to symmetrically emit laser beams in a train driving direction at a preset azimuth angle so as to obtain a laser echo signal of a preset distance area; beat frequency is carried out on the laser echo signal and the local oscillation light, photoelectric conversion is carried out, and a current signal is obtained; and monitoring the running environment of the train according to the current signal to obtain a monitoring result.

The present application provides a measurement method for a shipborne three-dimensional scanning wind lidar, including: obtaining the attitude information of the ship through a combined inertial navigation, where the attitude information includes the heading angle, the pitch angle, and the roll angle; determining the azimuth angle and the pitch angle of the laser beam of the shipborne three-dimensional scanning wind lidar in the geographic coordinate system according to the attitude information and a preset coordinate transformation model between the radar coordinate system and the geographic coordinate system; controlling the shipborne three-dimensional scanning wind lidar to emit a laser beam and receive the reflected echo signal according to the azimuth angle and the pitch angle; and obtaining the three-dimensional velocity component information of the wind field according to the reflected echo signal to obtain a three-dimensional wind field.

The application discloses a small three-dimensional wind measurement laser radar system with compact structure and good heat dissipation effect. The application comprises a swing rotating mechanism and a radar swing shell assembly installed on the swing rotating mechanism, wherein the radar swing shell assembly comprises a radar installation shell, a top cover, a bottom cover, a sealed front cover and a sealed rear cover are installed on the radar installation shell in sequence from top to bottom and from front to back, a ventilation cavity is formed between the top cover and the top of the radar installation shell, a plurality of air inlet holes are arranged at both ends of the top cover, a heat dissipation cooling cavity is arranged at the middle part of the radar installation shell, a plurality of cooling fans are arranged at the top of the heat dissipation cooling cavity and located in the middle part of the ventilation cavity, the bottom cover is provided with an air outlet hole in communication with the ventilation cavity, the inside of the radar installation shell is divided into a left cavity and a right cavity by the heat dissipation cooling cavity, and the radar heat dissipation components installed in the left cavity and the right cavity are attached to the two outer walls of the heat dissipation cooling cavity. The application is applied to the technical field of laser radars.

The invention relates to the technical field of laser radar wind field inversion, and provides a glide path high-resolution nonlinear three-dimensional wind field inversion method based on a wind measurement laser radar, and the method comprises the steps: obtaining and processing original actual measurement radial wind data, and obtaining effective actual measurement radial wind data; performing data interpolation processing to obtain medium-high resolution actually measured radial wind data; dividing a linear grid unit, and calculating a center node of the linear grid unit to obtain a three-dimensional wind speed initial value; calculating a global optimal gradient field of grid nodes in the three-dimensional fan-shaped cube of the glide path, and solving to obtain a nonlinear optimized three-dimensional wind field by using the three-dimensional wind speed initial value and the global optimal gradient field; and carrying out cyclic interpolation and optimization on the nonlinear optimized three-dimensional wind field to obtain a glide path high-resolution nonlinear three-dimensional wind field. According to the method, the spatial resolution and the physical fitting degree of wind field inversion are remarkably improved, the coverage range, the data refresh rate and the actual application reliability can be considered, and accurate high-resolution reconstruction of a complex wind field in a dynamic environment is achieved.