502 results about "Wind measurement" patented technology

The invention relates to the technical field of new energy power generation prediction, in particular to a new energy power prediction method fusing typhoon meteorological information and a micrometeorological prediction result, which comprises the following steps: collecting multi-source observations such as a satellite scatterometer, a radar wind profile and laser wind measurement, and unifying coordinates; constructing a mesoscale wind field by adopting four-dimensional variational assimilation, inferring a micrometeorological field by utilizing a spectrum embedding diffusion network, and generating a multi-scale meteorological field by frequency domain phase consistency fusion; probabilistic wind speed is sampled in the countercurrent model meeting the condition of mass and momentum conservation, an energy conservation graph neural network is input, the wake effect is coupled, and a unit power quantile value is obtained; the power probability is sent to a risk weighting model, the weight is adjusted in real time according to the peak load, the reserve capacity and the climbing rate risk, a dispatching power curve and uncertainty are output, and grid-connected power errors are used for periodically updating the weight and the parameters of the last layer of the reversible model. According to the invention, the safety acceptance margin of the power grid to new energy is obviously improved.

The invention relates to the technical field of wind power generation, and discloses a cross-scale wind power plant wind resource evaluation method based on a numerical mode, comprising the following steps: step 1, acquiring multi-source observation data of a target area; step 2, screening a WRF optimal configuration scheme adaptive to the regional terrain; step 3, through a WRF power downscaling method, generating annual scale wind resource data as initial wind resource data; 4, performing partition correction on the initial wind resource data to obtain wind measurement data; step 5, constructing a WRF-WFP model coupling the WRF mode and the wind power plant parameterized model; step 6, optimizing WRF lower boundary conditions; 7, simulating the atmospheric flow of the target area, and quantifying the wake flow evolution characteristics of the wind power plant; 8, constructing a wake flow analysis model; and step 9, formulating a collaborative productivity plan of the wind power plant group. The power generation capacity of the wind power plant to be developed can be accurately predicted, and a reliable basis is provided for scientific decision-making of resource distribution development and planning of the million-kilowatt wind power plant.

The invention discloses a radar detection blind area wind field fine reconstruction method based on anemograph collaborative networking, and the method comprises the specific steps: firstly, separating wind speed measurement deviation caused by vibration displacement in real time, eliminating vibration interference, carrying out the automatic diagnosis and restoration of data based on machine learning, and optimizing the integrity of wind speed data and the measurement continuity; secondly, an ultrasonic anemograph array optimization arrangement method oriented to global wind field sensing is established, time-space consistency calibration of multi-sensor data is achieved, and the precision and reliability of wind speed measurement are improved; and finally, carrying out data-physical fusion bridge flow field high-resolution intelligent reconstruction, and improving the data integrity of a complex flow field area. The reconstruction method effectively cooperates with the wind measurement laser radar and the anemograph, the advantages of high-frequency single-point measurement and wide-area space scanning of the wind measurement laser radar and the anemograph can be exerted, high-precision reconstruction of the global flow field of the bridge is expected to be achieved, and reliable support is provided for guaranteeing wind resistance safety of a large-span bridge.

The invention discloses a multi-source data fusion wind power plant micro-siting dynamic evaluation method, relates to the technical field of wind power plant siting, and solves the problem that a mainstream method still depends on single anemometer tower data or static GIS analysis during wind power plant siting in the prior art. The method comprises the following steps: firstly, acquiring wind measurement data of multiple sources, unifying the wind measurement data of different sampling frequencies into a set time window, and realizing spatial scale alignment through an interpolation method; then obtaining a wind energy score according to the annual average wind speed and the main wind direction frequency, obtaining a suitability score according to the distance to the residential area or the main road, obtaining an environmental impact factor according to the noise and the ecological protection area, and constructing a target function based on the wind energy score, the suitability score and the environmental impact factor; and finally, combining a genetic algorithm and a real-time optimization model of a wake flow interference model, and dynamically adjusting the evaluation tendency according to the evaluation score of the fan layout inversion site, so that the evaluation result is more comprehensive, scientific and reasonable.

The invention discloses a wind power plant unit load reduction optimization method and system based on cabin type laser radar real-time wind measurement, and relates to the technical field of wind power generation. Constructing a load estimation model; performing real-time detection on a blade root bending moment predicted value sequence and a tower bottom vibration acceleration predicted value sequence, constructing a multi-objective optimization function including blade root bending moment, tower bottom vibration acceleration and power generation power, and setting a dynamic weight coefficient of the multi-objective optimization function according to three-dimensional wind field prediction sequence data; obtaining an optimal control variable through a multi-objective genetic algorithm based on the multi-objective optimization function; and according to the optimal control variable and vertical wind shearing in the three-dimensional area, differential adjustment is conducted on the pitch angle of each blade, and a personalized variable pitch angle sequence of each blade is obtained. According to the method, by establishing the optimization objective function fusing the load and the power, multi-variable collaborative optimization is achieved, and the safety and the economical efficiency of wind power plant unit operation are remarkably improved.

The invention discloses a radar wind measurement method and system based on terrain matching, relates to the technical field of radar control, and solves the problem of insufficient radar wind measurement precision under complex terrain conditions in the prior art. The method comprises the following steps: firstly, collecting time-space synchronous multi-source data and preprocessing the multi-source data, wherein the multi-source data at least comprises data of a laser radar, an unmanned aerial vehicle and a sensor network; then constructing a three-dimensional vortex adaptive function and combining smooth partitioning, performing grid division and setting an overlapping buffer region with a certain width between different regions; and finally, calculating a terrain complexity index, and when the terrain complexity index obtained through real-time calculation exceeds a threshold value, adjusting parameters of the radar. The radar wind measurement data error is effectively compensated, the accuracy of the wind measurement data and the generalization ability of the model are improved, the pertinence and efficiency of radar scanning are improved, more accurate wind field information is obtained, and compared with a traditional fixed scanning mode, the wind measurement precision is obviously improved.

The invention relates to the technical field of three-dimensional real-time wind speed measurement, and discloses a large-span roof three-dimensional ultrasonic anemometer and a measurement method thereof, and the method comprises the steps: building a three-dimensional coordinate system through laser ranging, and analyzing and compensating installation errors; an initial calibration coefficient is generated through a self-inspection and optimization algorithm, and the initial calibration coefficient is compared and analyzed with a standard instrument for initial calibration; ultrasonic pulse emission is controlled, full-path scanning and redundancy measurement of all axes are completed, signal quality is improved through multi-modal signal processing detection, and abnormal values are eliminated through weighted median values; the sound velocity is corrected based on real-time temperature data, the influence of humidity and air pressure on the sound velocity is adjusted through a nonlinear regression model, and a Reynolds stress correction term is introduced to compensate for sound wave path bending in an eddy current field; a three-dimensional turbulence intensity distribution diagram is constructed by fusing ultrasonic and LiDAR data, meteorological parameters are calculated, an extreme weather event is early warned by using a machine learning model, a visual three-dimensional wind speed field is provided through a cloud platform, and a potential risk area is identified.

The invention discloses a laser radar-assisted wind power generation wind shear modeling method, and relates to the technical field of wind shear modeling, and the method comprises the steps: collecting the wind speed measurement data of a laser radar at a plurality of heights in a target fan region, and constructing a measurement volume integral operator matrix; constructing a unit induction field correction model based on large eddy simulation in combination with a gradient boosting tree; coupling the measurement volume integral operator with the unit induction field correction model, and obtaining a high-precision wind speed vertical section and a corresponding wind shear parameter through inversion; on the basis of the high-precision wind speed vertical section and the corresponding wind shear parameters, physical constraints are fused, a wind shear model is generated, and uncertainty evaluation is carried out; according to the wind shear modeling method, the problems that the measurement error of the laser radar is difficult to correct, the wind shear modeling lacks the physical constraint and the result credibility cannot be quantified are solved by constructing the volume measurement integral operator and the unit induction field correction model for coupling inversion and fusing the physical constraint and the Bayesian uncertainty evaluation method.

The invention discloses a Doppler differential interferometer imaging position drift monitoring method, which solves the problem of inaccurate wind speed measurement result caused by drift of an interferometer image surface due to temperature change and the like. According to the method, periodic grooves are etched in the grating diffraction surface of the interferometer, namely, groove patterns serve as scales, the drift distance of the interferometer to be monitored is calculated, Doppler differential interferometer image surface drift caused by temperature changes can be effectively monitored, then the drift monitoring result is used for correcting the imaging position drift of the interferometer, and the drift distance of the interferometer to be monitored is calculated. Therefore, the accuracy of Doppler phase measurement is improved, the wind measurement accuracy of the interferometer is improved, and sub-pixel monitoring of the imaging position drift of the interferometer is realized.

The invention discloses an acousto-optic radar wind measurement data correction system based on adaptive noise suppression, and relates to the technical field of data correction. Environmental parameters and acousto-optic radar system parameters are combined through a dynamic adjustment module to dynamically adjust a signal-to-noise ratio threshold; the echo signal quality analysis module inputs the frequency spectrum characteristic data and the dynamically adjusted signal-to-noise ratio threshold value into an echo quality model and judges whether the current echo signal is valid or not, if yes, interpolation is carried out by adopting a spatial smooth interpolation method, if yes, the dominant frequency of the echo signal is extracted, Doppler frequency shift is calculated, and according to the detection angle and the laying direction, the Doppler frequency shift is calculated; and calculating a radial wind speed, inverting a three-dimensional wind speed vector and carrying out physical consistency correction. According to the correction system, the dynamic adjustment module is introduced, real-time environment parameters and system operation parameters are combined, and a signal-to-noise ratio threshold value required by judgment is dynamically adjusted, so that a judgment basis can be intelligently self-adapted along with a measurement environment, and the accuracy and robustness of echo signal quality judgment are remarkably improved.

The invention discloses a yaw wind error compensation method and system based on wind measurement data, and relates to the technical field of wind power generation equipment control, and the method comprises the steps: setting a wind measurement point position, and collecting an original wind field data set; calculating an incoming flow and a cabin wind direction angle according to the original wind field data set; performing deviation calculation to obtain a yaw wind error angle; triggering a dual-channel compensation module, accumulating errors, constructing an error queue, and performing batch compensation to obtain a compensation result; yawing control parameters are called, the cabin attitude is analyzed according to the compensation result, the yawing control parameters are updated, and self-adaptive compensation of yawing to the wind error is achieved. The technical problems that in the operation process of the wind driven generator, due to wake flow, terrain, turbulent flow and other environmental factors and equipment loss, a traditional yaw system cannot accurately detect the wind direction and compensate the wind alignment error, the power generation efficiency is low, and the potential safety hazard of equipment is large are solved, and the purposes of accurately improving the wind alignment precision of a wind wheel and improving the power generation efficiency are achieved. The power generation efficiency is obviously improved; and the equipment operation safety is enhanced.

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 embodiment of the invention discloses a flow field and temperature field prediction method and device of an autoclave, equipment and a medium. The prediction method comprises the following steps: performing wind speed measurement on at least two transverse sections of the autoclave through a wind speed detection device arranged in the autoclave to obtain a wind speed measurement result of each transverse section; determining a wind speed distribution function of the autoclave according to the wind speed measurement result of the first cross section; according to the model simulation file of the autoclave and the wind speed distribution function, under preset flow field parameters of the autoclave, performing steady-state calculation on the autoclave to obtain a flow field distribution result of the autoclave; comparing the wind speed measurement result of the second cross section with the flow field distribution result; and when the wind speed comparison result meets the flow field prediction precision, taking the preset flow field parameter and the wind speed distribution function as the flow field prediction result of the autoclave. Wind speed distribution is detected through the wind speed detection device, so that preset flow field parameters are adjusted, and accurate simulation of wind speed distribution in the autoclave can be realized.

The invention provides a high-precision three-dimensional ultrasonic wind speed measurement method and device, the method is applied to an ultrasonic transducer array, a plurality of transducers in the transducer array are arranged according to a non-orthogonal structure to form a plurality of acoustic measurement paths, and the specific steps are as follows: acquiring ultrasonic signals collected on the plurality of acoustic measurement paths; for each acoustic measurement path, determining a downwind and upwind propagation time difference of ultrasonic waves on the path based on cross-correlation operation and sine wave fitting; and calculating a three-dimensional wind speed vector based on the geometrical relationship of each acoustic measurement path and the corresponding propagation time difference, thereby achieving the technical effects of remarkably improving the anti-interference capability, greatly improving the measurement precision, remarkably improving the calculation speed, optimizing the spatial symmetry, enhancing the environmental adaptability and improving the measurement robustness.

The invention discloses a wind measurement radar attitude angle depolarization estimation and correction method, which comprises the following steps: acquiring original wind field data acquired by a wind measurement radar, including a horizontal wind speed, a horizontal wind direction and a vertical wind speed; performing quality control on the original wind field data, removing invalid samples and screening effective wind speed data; constructing an error model based on the ratio of the vertical wind speed to the horizontal wind speed, and establishing a mapping relation between the ratio and the horizontal wind direction; estimating the attitude deflection angle of the radar by adopting a robust fitting method, including data density weighting and robust fitting processing, so as to improve the estimation stability and the anti-interference capability; based on the estimated attitude deflection angle, performing coordinate transformation on a radar beam direction, correcting a wind field inversion result, and outputting corrected three-dimensional wind speed data; the wind speed measurement precision is improved.

The utility model provides a wind direction and wind speed measuring device and a steel structure tower device. The wind direction and wind speed measuring device comprises a sampling main body, the sampling main body comprises a plurality of air inlets and at least two air channels, the plurality of air inlets are correspondingly communicated with the at least two air channels, openings of the plurality of air inlets face at least two different directions, and the at least two air channels are mutually independent and extend in different directions; the first temperature detection assemblies are arranged in the air ducts and used for collecting temperature information of at least two different positions in the extending direction of the air ducts. The second temperature detection assembly is arranged inside or outside the air duct and used for collecting environment temperature information. The humidity detection assembly is arranged inside or outside the air duct and used for collecting environment humidity information. The controller is used for calculating wind power data according to the temperature information and the humidity information, and the wind power data comprises wind direction and wind speed. The 360-degree omni-directional wind speed and wind direction measuring device is beneficial to measuring 360-degree omni-directional wind speed and wind direction, wide in measuring range, high in reliability, easy to maintain and high in measuring precision.

The invention discloses a device and a method for measuring the velocity field of an autoclave through hot-pressing wind speed. The device comprises a thermosensitive probe, a Wheatstone bridge, a lock-in amplifier, an NI multi-channel data acquisition card and a computer, the thermosensitive probe is used for instantaneously detecting the temperature of a placement point position and generating resistance fluctuation based on sensing temperature change; the Wheatstone bridge is formed by connecting a fixed resistor, a variable resistor and a thermosensitive probe, and is used for forming a series circuit with the lock-in amplifier; the lock-in amplifier is used for supplying power to the Wheatstone bridge and providing co-frequency voltage at the same time, so that resistance data of a thermosensitive probe in the Wheatstone bridge is converted into voltage data to be output; the NI multi-channel data acquisition card is used for acquiring in-phase component voltage signals output by the lock-in amplifier; the computer is used for processing the voltage data to obtain the average speed and the pulsation speed of the measurement point. According to the invention, the problems of limited precision, insufficient sensitivity and poor adaptability to the internal environment of the autoclave in the conventional gas speed measurement method are solved.

The invention discloses a load determination method, device and equipment for a high-slope wind turbine generator and a medium, and relates to the technical field of wind turbine generators, and the method comprises the steps: determining the wind measurement data of a target wind power plant under a high-slope terrain, constructing a terrain physical model based on the terrain information of a high slope, and obtaining a target terrain grid based on the terrain physical model; in each sector of the target wind power plant, determining a first sector influenced by the high slope terrain and a second sector not influenced by the high slope terrain; respectively simulating the first sector and the second sector based on the target terrain grid, and determining wind regime parameters in the target wind power plant by using an obtained target simulation result; based on the wind regime parameters, a corresponding first turbulent wind field model and a corresponding second turbulent wind field model are constructed for the first sector and the second sector respectively, and the target load of the wind turbine generator is determined through the first turbulent wind field model and the second turbulent wind field model. Therefore, the calculation efficiency and accuracy of the wind turbine generator load under the complex terrain can be improved.

The invention relates to a wind speed measurement system and method based on a homologous isomorphic light wave wind finding radar, and the system comprises a photo-generated millimeter wave signal source module which employs a first laser and a second laser to carry out beat frequency to generate photo-generated millimeter waves, obtains a local oscillator signal based on the photo-generated millimeter waves, and obtains local oscillator light based on the second laser; the millimeter-wave radar wind measurement transceiving module is used for radiating photo-generated millimeter waves to a target space, receiving echo signals, mixing the echo signals with local oscillation signals and outputting intermediate-frequency signals; the laser radar wind measurement receiving and transmitting module is used for transmitting second laser to a target space, receiving echo light and performing coherent beam combination on the echo light and local oscillation light of the second laser to output an electric signal; the signal processing module receives the intermediate-frequency signals and the electric signals and calculates the comprehensive wind speed based on the intermediate-frequency signals and the electric signals. Compared with the prior art, the invention provides a simplified and more flexible homologous laser-millimeter wave signal generation method, and more accurate and reliable wind measurement can be realized.

The invention provides a laser radar attitude compensation wind measurement method and system, and relates to the technical field of laser radar wind measurement, and the method comprises the steps: obtaining the six-degree-of-freedom motion data of a carrier; driving the two-axis stabilized platform to compensate based on the three-axis rotation angle so as to stabilize the direction of the laser beam, and scanning to obtain initial radial wind speed data; then synchronizing the translation speed with the wind speed data by using a linear fitting algorithm to obtain a synchronous data set; a laser radar scanning mode is determined, and a corresponding attitude compensation strategy is selected according to the mode; inputting the synchronous data set and the strategy into a pre-training machine learning model to generate a compensation parameter, and processing the initial data through Kalman filtering based on the parameter to obtain target radial wind speed data; and finally, performing wind field inversion calculation based on the target data to generate a wind field measurement result. According to the invention, the wind field measurement precision of the laser radar on the motion platform under the complex sea condition is improved.

The invention provides a multilayer laser wind finding radar data processing method and system, and relates to the technical field of radar data processing. The method comprises the following steps: acquiring echo signals of each height layer, synchronously acquiring meteorological parameters of visibility, humidity and rainfall intensity, judging weather types according to meteorological conditions, and setting corresponding SNR reference thresholds; dividing a near-surface layer, a middle layer and a high-altitude layer based on the SNR statistical characteristics of the height layer, and implementing threshold difference adjustment; performing threshold dynamic smoothing according to the meteorological change rate; judging the data validity based on the smoothed threshold sequence, and performing graded repair on discrete missing points, continuous missing segments and large-range missing regions; and finally, calculating the confidence coefficient through the SNR threshold value factor and the repair algorithm factor, and outputting a wind field profile with a reliability identifier. And the data utilization rate, the restoration precision and the result credibility under the complex meteorological condition are remarkably improved.

The invention discloses a wind measurement radar data correction method based on high-precision topographic data. According to the technical scheme, the wind measurement radar data correction method is characterized by comprising the steps of 1, data preprocessing; 2, modeling a high-precision terrain generation model; step 3, performing CFD pre-simulation and terrain correction coefficient matrix; 4, modeling a data correction model; and establishing a data correction model by using a space-time convolutional neural network coupled LSTM mixed structure, learning terrain-wind field nonlinear mapping, and outputting a corrected three-dimensional wind field. 5, correcting the data in real time; and inputting real-time wind measurement radar data into the data correction model, optimizing the radar data through online matching of the terrain correction coefficient matrix under the current wind direction and wind speed, and outputting a correction result. The method is mainly used for solving the problems of high wind speed measurement error and low data analysis efficiency in a dynamic environment.

The invention discloses a wind turbine group wake flow control method based on radar wind measurement, and the method comprises the following steps: S1, radar wind measurement: installing laser wind measurement radars on cabins of an upstream wind turbine generator and a downstream wind turbine generator, and enabling the laser wind measurement radars to collect wind direction data in real time; and S2, multi-machine radar data fusion and whole wind flow field reconstruction are carried out, radar wind measurement data of upstream and downstream wind turbine generators are synchronously collected, a three-dimensional wind flow field of a wind direction area of the wind power plant is reconstructed, and the three-dimensional wind flow field outputs whole-field unified wind field indexes as wake flow model input data. The method has the advantage of being good in control effect, and solves the problems that when wake flow of an existing wind turbine group is controlled, self-adaptive adjustment is inconvenient to carry out on upstream and downstream wind turbine units according to radar wind measurement data, so that upstream and downstream fans are lack of cooperation, the wake flow control efficiency is affected, and the power generation benefits of the upstream and downstream fan groups are reduced.

The invention relates to a wind shear factor calculation method based on one-dimensional wind speed measurement, and the method comprises the following specific wind speed estimation steps after preprocessing: 1, obtaining the distribution of the radial speed of meteorological echoes scanned by all horizontal azimuth angles of a radar along with the distance through a frequency domain analysis algorithm; 2, according to the radial wind speed distribution, the horizontal plane coordinates of the center position of wind shear are obtained; 3, calculating the distance from each effective range gate on the expected flight path of the airplane to the wind shear center; and 4, calculating the vertical wind speed on the expected flight path of the airplane by using a corrected vertical wind speed calculation method based on the axial symmetry non-rotation field approximation of the wind shear wind field and the non-fluid static pressure model of the near-surface wind field. The nonlinear wind speed model estimation of the vertical wind speed of the central area of the wind shear wind field is provided, the calculation amount of the calculation model is small, the method does not depend on preset parameters, and compared with a traditional method, errors are small.

The invention discloses a wind field detection method, device and equipment based on wind measurement data fusion and a medium, and relates to the technical field of wind measurement, and the method comprises the steps: carrying out the quality control of initial coherent wind measurement data and initial direct wind measurement data, and obtaining target coherent wind measurement data and target direct wind measurement data which meet preset quality requirements; performing space-time consistency matching on the target coherent wind measurement data and the target direct wind measurement data to obtain a target matching result, and splicing the target direct wind measurement data to the target coherent wind measurement data according to the target matching result to obtain spliced wind measurement data; performing data fusion on data in a to-be-fused height range in the spliced wind measurement data by using a real-time fitting prediction method to obtain fused wind measurement data, and determining a target wind field detection result by using the fused wind measurement data; the to-be-fused height range is a height range determined based on the maximum value and the minimum value of the height corresponding to the target coherent wind measurement data in the fusion time sliding window; therefore, the accuracy of wind measurement data can be improved.

The invention relates to the technical field of ultrasonic wind measurement, in particular to a high-precision wind measurement system and method based on double-frequency ultrasonic waves, and the method comprises the steps: deploying an orthogonal double-frequency ultrasonic transducer array in a horizontal plane, capturing an echo timestamp, and solving the wind speed through the dynamic changes corresponding to the high and low frequency characteristics; according to the forward and reverse wind round-trip time difference of the double-frequency ultrasonic waves on the X axis and the Y axis, the real-time temperature obtained through temperature compensation is combined, the wind speed components of the high-frequency ultrasonic waves and the low-frequency ultrasonic waves are calculated according to a forward and reverse wind formula, the X-axis final wind speed component and the Y-axis final wind speed component are obtained through weighted averaging, the wind direction angle is calculated according to an arc tangent function, and wind speed and direction results are output after quadrant correction; the wind speed and direction data obtained through calculation are preprocessed, and finally the processed data are stored in an internal storage. Double-frequency ultrasonic waves are adopted, high frequency is used for capturing rapid wind speed changes, low frequency is used for long-distance propagation to reduce environmental noise influences, the wind speed is solved in combination with a sound velocity formula, temperature compensation and a propagation equation, and high-precision measurement can be achieved.

The invention relates to a multi-beam switching antenna applied to a wind finding radar and a working method of the multi-beam switching antenna. The antenna comprises a connecting device, a feed device and a lens device, the connecting device is a subminiature push-in connector, the input end of the connecting device is connected with the wind finding radar, and the output end of the connecting device is connected with the feed device; the feed device comprises a GCPW-SIW conversion structure and a feed source antenna. Wherein the feed source antennas are sixteen antipodal Vivaldi antennas and are used for radiating spherical waves to the lens device; the lens device is a metasurface lens, and the feed device and the lens device are arranged in an offset-focus mode. Therefore, phase compensation is carried out on spherical waves radiated by a feed device located at the focus of the lens, and the spherical waves are converted into plane waves of the emergent surface of the lens. Compared with the prior art, the method has the advantages that the actual application requirement of a wind measurement radar system is met, and accurate wind field measurement and data acquisition are achieved.

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.

The invention discloses a continuous wave laser radar device for multilayer resolution wind measurement and a method thereof. Wind field information of different distances or height layers is distinguished through a variable-focus optical system driven by a micromotor. The device comprises a laser emitting unit, an optical zoom system, a receiving and detecting unit and a signal processing and control unit. The laser emission unit generates continuous wave laser; the variable-focus system is composed of a fixed lens and a movable lens, and a micromotor drives the lenses to move to change the focusing position. The receiving unit adopts a coaxial light path and converts echo signals into electric signals; the signal processing unit analyzes Doppler frequency shift to obtain wind speed and wind direction; the control unit automatically switches the layering distance according to the'lens position-detection distance 'mapping. During measurement, the device completes laser focusing and signal acquisition layer by layer, and can realize multidirectional detection in cooperation with a scanning mechanism. The device is compact in structure, low in cost, high in layering precision, high in automation, suitable for wind power site selection and capable of meeting the efficient detection requirement of a multilayer wind field.

According to the probe module, the mining ultrasonic anemograph and the wind speed measurement method, the precision and the reliability of mine wind speed monitoring are remarkably improved through a multi-parameter fusion technology. Three pairs of probe modules are adopted for three-dimensional coverage, and weighted average and Pauta criterion turbulence treatment are combined, so that the average wind speed error of the large-section roadway is greatly reduced. The sound velocity correction model integrating the temperature and humidity, the gas concentration and the dust concentration is high in sound velocity correction precision and small in wind speed measurement error, and the limitation of single parameter compensation is broken through. Based on the average section wind speed and the manual correction coefficient, the total wind gas discharge amount calculation error is small, the actual requirement is met by combining the extraction amount data and the total gas emission amount calculation precision, and real-time and reliable data support is provided for ventilation system regulation and control and gas disaster early warning. In conclusion, the mine ventilation safety monitoring system realizes the technical span from single-point measurement to multi-parameter fusion, and the automation level and the reliability of mine ventilation safety monitoring are remarkably improved.