794 results about "Wind measurement" patented technology

The present invention is directed to a radio-acoustic sounding system for providing wind measurements at altitudes of 100 meters or less. Wind measurements are obtained by transmitting a pulse of audio frequency energy through one or more volumes corresponding to the coverage area of one or more radio frequency transceivers. The frequency of the audio pulse is selected to have a wavelength that is one-half the wavelength of the electromagnetic energy transmitted by the antenna or antennas. By monitoring a return radio frequency signal at selected times following the transmission of the audio pulse, wind data is obtained at selected altitudes. Wind speed and direction can be obtained by observing the Doppler frequency shift of return radio frequency signals, or by observing the amplitude of the return radio frequency signals. In accordance with an embodiment of the present invention, precipitation measurements may be made by transmitting a radio frequency signal at the same radio frequency as is used in connection with wind measurements, and observing return radio frequency signals.

The invention provides an ultra-short term wind power station generated power forecasting system, which belongs to the technical field of automatic scheduling of wind power plants. The system comprises a real-time wind measurement data server, a numerical weather prediction server, a wind power station real-time operation server, an ultra-short term forecasting processing server and data acquiring equipment, wherein the numerical weather prediction server is used for acquiring weather prediction data of a near-earth layer at the position of a wind power station; the real-time wind measurementdata server is used for acquiring wind speed data, wind direction data, temperature data, air pressure data and humidity data at the position of a wind measurement tower; the wind power station real-time operation data server is used for acquiring the total generated power data of the wind power station; and the ultra-short term forecasting processing server is used for forecasting the total generated power data of the wind power station at the next moment. The system solves the technical problems that future generated power variation tendency cannot be tracked and multi-step forecasting accuracy is relatively low in the prior art.

A buoyant platform apparatus, such as a buoy, is described that comprises a laser radar (lidar) wind speed measurement device. The lidar is arranged to make wind velocity measurements at one or more remote probe volumes of known position relative to said platform. The wind speed measurement apparatus may further comprise motion sensing means that, in use, monitor motion of the platform allowing wind speed at an absolute position in space to be measured. Wind velocity data may also be compensated for platform movement.

The invention discloses a water level-flow speed-flow rate monitoring integrated device, a water level-flow speed-flow rate monitoring system and a water level-flow speed-flow rate monitoring method. The device comprises a radar water level measuring module, a radar flow speed measuring module, a wind speed measuring module and a flow rate calculating module, wherein the radar water level measuring module, the radar flow speed measuring module and the wind speed measuring module are connected with the flow rate calculating module respectively; the radar water level measuring module is used for measuring the real-time water level data of a river course / channel in a non-contact form; the radar flow speed measuring module is used for measuring the real-time surface flow speed data of the river course / channel in the non-contact form; the wind speed measuring module is used for measuring real-time wind speed data to correct a flow speed of a water surface; the flow rate calculating module is used for calculating to obtain the size of the flow rate of a controlled section of the river course / channel at a current moment by combining with an input relevant parameter of the controlled section of the river course / channel according to the water level data, the flow speed data and the wind speed data. The device can be used for monitoring the water level and the flow speed of the river course / channel in real time, and moreover, can be used for realizing monitoring the flow rate in real time.

The invention provides a wind resource computation method, which comprises the following steps of analyzing original wind measurement data, and establishing a model required by CFD (computational fluid dynamics) computation on the basis of a full-height atmosphere boundary; computing wind speed and turbulent flow distribution under each wind direction condition by virtue of a CFD resolver; computing a wind resource distribution condition according to the wind speed and turbulent flow distribution under each wind direction condition, wind measurement mast coordinates, machine position coordinates, fan power data and wind condition data, and determining a position where a wind turbine generator is suitable to be mounted in a wind power plant. The method can also be used for analyzing wind resources of the wind power plant where the wind turbine generator is arranged.

An electro-optic system, e.g., mounted to a weapon, measures down range winds and a range-to-target for compensating the ballistic hit point. The system may include an optical light source, collimated to generate a laser spot on the target. The system may include a wind measurement receiver that captures laser light scattered from the target. The captured light may be modulated by atmospheric scintillation eddies, producing optical patterns which change in time and move with the crosswind. These patterns may be analyzed by a processor using covariance techniques to determine path-integrated crosswinds and associated errors. Ranging is done by measuring the time of flight of the laser pulse to the target collecting the scattered signal from the target. Compensated ballistic hit point, measurement errors and other data may be displayed on a micro-display digital eyepiece, overlaid on the real-time image of the target.

The invention discloses an ultra-short term wind power forecasting method based on a time series method. The forecasting method comprises the following steps: 1. gathering wind measurement data of an anemometer tower adjacent to a wind power station; 2. processing data: carrying out smoothing and stabilizing treatments on the wind speed recorded by the anemometer tower; 3. carrying out wind speedprediction modeling by utilizing the time series method, respectively modeling the wind speed data subjected to the smoothing and stabilizing treatments in the step 2 according to a forecasting time resolution, and establishing 16 prediction models, and figuring out the forecast wind speed within 0-4 hours; and 4. calculating the ultra-short term wind power: calculating the prediction models which are used for forecasting the wind speed input wind power to obtain a wind power prediction result within the forecast validity. By utilizing the method provided by the invention, the wind power output within 0-4 hours of the wind power station can be forecast in a rolling mode, reasonable data support can be provided for electric network frequency modulation and the maintenance of the stable operation of the electric network, so that a dispatching department can adopt solutions in advance for various mutational situations caused by haste changes of the wind power during the electric network operation by the dispatching department.

An electro-optic system, e.g., mounted to a weapon, measures down range winds and a range-to-target for compensating the ballistic hit point. The system may include an optical light source, collimated to generate a laser spot on the target. The system may include a wind measurement receiver that captures laser light scattered from the target. The captured light may be modulated by atmospheric scintillation eddies, producing optical patterns which change in time and move with the crosswind. These patterns may be analyzed by a processor using covariance techniques in either the time-domain or the frequency-domain to determine path-integrated crosswinds and associated errors. Ranging is done by measuring the time of flight of the laser pulse to the target collecting the scattered signal from the target. Compensated ballistic hit point, measurement errors and other data may be displayed on a micro-display digital eyepiece, or projected onto the direct view optics (DVO) of a riflescope so as to be overlaid in real-time on the optical image of the target.

A method and system for improving power production efficiency on a wind farm having of a plurality of spatially distributed wind turbines is provided. The method includes receiving a wind measurement that includes a wind direction impinging on a turbine (20), determining a misalignment of the wind turbine with respect to the wind direction, and activating a wake steering control for the wind turbine (20) to implement the misalignment of the wind turbine (20) with the wind direction such that the misalignment is adapted to steer a wake of the wind turbine away from a neighboring wind turbine (30). A wind turbine arrangement including a nacelle, a yaw controller, and a yaw drive is also provided.

An electro-optic system, e.g., mounted to a weapon, measures down range winds and a range-to-target for compensating the ballistic hit point. The system may include an optical light source, collimated to generate a laser spot on the target. The system may include a wind measurement receiver that captures laser light scattered from the target. The captured light may be modulated by atmospheric scintillation eddies, producing optical patterns which change in time and move with the crosswind. These patterns may be analyzed by a processor using covariance techniques in either the time-domain or the frequency-domain to determine path-integrated crosswinds and associated errors. Ranging is done by measuring the time of flight of the laser pulse to the target collecting the scattered signal from the target. Compensated ballistic hit point, measurement errors and other data may be displayed on a micro-display digital eyepiece, or projected onto the direct view optics (DVO) of a riflescope so as to be overlaid in real-time on the optical image of the target.

A system for obtaining emission flux of a gas plume, emanating from a source, includes an airborne differential absorption lidar (DIAL) system for determining multiple concentration path length (CPL) values along a flight path; and an airborne wind measuring system (WMS) for determining a wind vector at the aircraft altitude. Also included is a processor for receiving the multiple CPL values determined by the DIAL system and the wind vector determined by the WMS. The processor uses the CPL values to compute either (a) an area-integrated concentration (AIC) value or (b) an average concentration value over a cross-plume extent, defined along the length dimension of the flight path. The processor also scales the wind vector to the near ground altitude level of the gas plume to obtain a scaled wind vector. The emission flux is obtained by multiplying either the AIC value or the average concentration value with a component of the scaled wind vector. The component of the scaled wind vector is defined by a vector perpendicular to the length dimension of the flight path.

The present invention concerns motion-stabilised LIDAR (100), MS-LIDAR, for measurement of wind speed, comprising: a stabiliser unit (25) having a having a probe end (30) for attachment to a laser radar, LIDAR (10), and a base end (40) for attachment to a buoyant platform (80), which stabiliser unit (25) is configured for at least partial isolation of motions of the base end (40) from the probe end (30); a LIDAR (10), attached in fixed relation to the probe end (40); a motion detector in fixed relation to the probe end (30); which MS-LIDAR (100) is arranged to make wind speed measurements at one or more remote probe volumes.

The invention discloses a coherent wind measurement laser radar system with adjustable range resolution. In one aspect, the system employs a polarization circular beam splitter 3, locks vertical polarized light in a circular device, and repeatedly passes through AOM to allow emitted laser to generate n upsilon M frequency shift, thereby adjusting laser frequency shift; in another aspect, the system employs EOM 5 to cooperate with the polarization circular beam splitter 3, converts the polarization state of the laser in the circular device reaching preset offset into parallel vibration from vertical polarization, and converts continuous wave laser into pulse width adjustable pulsed light, thereby realizing the adjustment of the range resolution of a coherent wind measurement laser radar. The scheme not only improves the applicability of the coherent wind measurement laser radar on different resolution requirement occasions and under different weather, but also improves the data measurement reliability of the coherent wind measurement laser radar.

The invention discloses an environment meteorological monitoring system for an electric power iron tower based on Internet of things. The system comprises a data acquisition module, a monitoring main unit, a power module, a data transmission module, a client and a server, and is characterized in that the data acquisition module comprises a displacement sensor, an inclination sensor, a torque sensor, an icing detector, a data acquisition instrument, a small observatory and a camera; the small observatory comprises a temperature and humidity measuring module, a wind speed measuring module and a wind direction measuring module; a third generation (3G) and second generation (2G) transmission combined mode is adopted by the data transmission module; and the power module comprises a solar power generation module, a wind power generation module and a storage battery. Based on the idea of an Internet of things technology, the physical state of the iron tower is acquired by the sensors, maintenance personnel timely find the potential safety hazard of the iron tower conveniently, and the fine, preventive and intelligent maintenance of the iron tower is realized; and meanwhile, wind-solar complementary power generation is adopted, so that the stability of the system is ensured.

The invention discloses a three-wavelength real-time scaling laser radar device, which comprises a receiving system, a computer and an emitting system, wherein the receiving system consists of a telescope, a beam splitter, a wave filter and two photoelectric detectors; the computer is connected with the two photoelectric detectors through a data acquiring system; the emitting system is used for emitting laser beams to the atmospheric air and comprises a light switch for selecting a seed laser a, a seed laser b and a seed laser c and injecting laser light into a pulse laser; the pulse laser is used for emitting laser light to the atmospheric air through a beam expanding lens and a reflecting mirror; or the emitting system comprises an acousto-optic frequency shifter for changing the emergent light of the seed laser and injecting the emergent light into the pulse laser through a beam combiner; the pulse laser is used for emitting laser light to the atmospheric air through the beam expanding lens and the reflecting mirror; and the light switch and the acousto-optic frequency shifter are controlled by the computer. Due to the adoption of the laser radar device, sensitivity needed by wind measurement and the measuring information of two wind measuring wavelengths can be provided in real time, wind measuring performance is improved, and accurate movable measurement is realized.

The invention discloses a multi-model multi-feature fusion method for predicting the wind speed along a high-speed railway, and the method comprises the following steps: 1, installing five auxiliary wind measurement stations nearby a wind measurement station; 2, carrying out the processing of original wind speed data through an interactive multi-model Kalman filtering method; 3, carrying out the wavelet processing of the filtered data, and building a prediction submodel for the low-frequency data after wavelet processing; 4, inputting target wind measurement station multistep-ahead prediction values and weather forecast target wind station prediction values obtained by a space-target wind measurement multistep-ahead prediction model, a self-target wind measurement station multistep-ahead prediction model and a weather-target wind measurement station multistep-ahead prediction model into a Bayes combined model, and obtaining the final target wind measurement station prediction value. The method can avoid the data interruption caused by a single wind measurement station hardware fault, and also can provide longer emergency processing time for the safety of the high-speed railway in a severe wind environment.

A system for producing electrical power based on wind energy is capable of predicting its power output. The system includes a set of wind turbine units, a first plurality of sensors each adapted to sense at least one wind characteristic at some of the wind turbine units, and a second plurality of sensors remotely located. At least one wind characteristic is estimated at the wind turbines not having one of the first plurality of sensors based on sensing by the first plurality of sensors and an estimate of changes in wind characteristic at wind turbine units caused by presence of other wind turbine units. The magnitude of electrical power production by the set of wind turbine units at at least one predefined point in time in the future is predicted based on the estimated wind characteristics and sensed wind characteristics.

The present disclosure describes structures, methods, and functionality for measuring a wind profile with networked anemometers. One method includes receiving real-time wind measurement data from each of one or more anemometer sensor platforms (ASPs) in a network, receiving atmospheric data, and calculating, using the received real-time wind measurement data and the received atmospheric data, at least one of real-time wind measurements, a wind profile, an average wind speed, or a weapon aiming offset.

The invention provides a wind power plant addressing system based on a development map. A data collection module, a visualized electronic map platform, an application layer module and the wind power plant addressing system are included; the data collection module collects basic data, stores the basic data in a classified way and integrates the basic data; related information is integrated and displayed in the visualized electronic map platform in the dimensions of time, region and development trend, a wind measurement analysis model is established according to data integrated by the data collection module, space-time characteristic data, resource complementary characteristic data and resource fluctuation characteristic data of wind measurement data are analyzed, and a wind power plant is pre-addressed; the application layer module quantifies wind energy resource condition and construction condition data of the wind power plant to be established after analysis, establishes an initial quantification standard of the wind power plant, and provides an initial addressing result for the visualized electronic map platform; and the wind power plant addressing system optimizes the initial quantification standard, and determines a final wind power plant addressing scheme according to expected development capacity. The invention also discloses a corresponding wind power plant addressing method.

The invention discloses a wind generator set engine room transfer function subregional fitting method. The method comprises the steps of 1, determining a target set, and collecting running data of a wind measurement mast and the target set within the same time; 2, determining the hub height H of the target set and calculating average wind speed data of the wind measurement mast at the height H; 3, utilizing IEC standards and the average wind speed data calculated in the step 2 as the basis, and removing abnormal running data in the step 1; 4, calculating a transfer function of an engine room of the target set, and correcting the transfer function, wherein the step 4 comprises the substep 4-1 of conducting fitting on a low wind speed area and a high speed wind speed area which are obtained by using the rated wind speed value as the limit and the substep 4-2 of calculating a fitting function order of the low wind speed area and a fitting function order of the high wind speed area respectively. By correcting the wind speed of the engine room, the wind speed of free flow at the center of a wind generator set wind wheel is obtained, and a power curve of the performance of the set can be more objectively reflected.

The invention discloses an ultrasonic three-dimensional wind measuring method and a three-dimensional ultrasonic anemometer. An ultrasonic three-dimensional wind measurement method, respectively setting three pairs of ultrasonic probes, that is, a first pair of horizontal probes and a second pair of horizontal probes parallel to the horizontal plane, and a pair of vertical probes perpendicular to the horizontal plane; The probe receives the propagation time of the ultrasonic waves sent by the other party; according to the measured propagation time and the distance between the two probes facing each other in three pairs, the three-dimensional wind speed and direction of the natural wind can be obtained. The invention can accurately calculate the three-dimensional wind speed and direction, has no moving mechanical parts, and has a heating device, does not require frequent maintenance, and is applicable to all-weather wind speed and wind direction measurement under severe environmental conditions.

The invention discloses a non-coherent radio interference suppression method of a wind profile radar, belonging to the signal processing and detection technical field. The method comprises the following steps: an interpulse pseudo random sequence and an intrapulse pseudo random sequence are generated at a transmitting end; coding processing is completed; then, modulation transmitting is completed and both pseudo random sequences are stored in a received signal processor; finally, receiving is completed at a receiving end and two times of decoding processing of the received signal is completed; thus, the processing procedure of the method is completed. The primary decoding operation of the received signal of a wind profile radar processed by the method is carried out through the interpulse pseudo random sequence synchronical to a transmitting modulation pulse, thereby restoring coherent wind measurement signal and converting non-coherent radio interference into white noise so as to reach the effect of reducing the power spectrum of radio interference signal; then, according to an intrapulse pseudo random codebook sequence, secondary decoding operation is carried out to reach the effect of increasing the power of wind signal; moreover, the interference suppression effect of the method is about (10log L)dB and the power of wind signal is increased about (20log P)dB.

The invention discloses a direct-drive permanent magnet synchronization wind turbine generator grid combination and a power-conditioning approach. The approach comprises the following steps: (1) a wind speed measuring instrument measures the wind speed and transmits the wind speed signal to a microprocessor. The microprocessor realizes maximum wind energy capture to the control of a three-phase full bridge inverter output power and a power grid voltage phase power angle Delta; wherein, the power angle Delta is of the included angle of an output voltage ul of the inverter and a net measure voltage us; (2) the permanent magnet synchronization wind turbine generator is driven by the wind turbine to generate electricity, and the current is converted through a three-phase rectifier circuit and then enters into a three-phase full bridge inverter as a DC bus through a filter circuit; (3) the DC bus voltage is combined with a step-up transformer in grid through a filter reactor under the control of the microprocessor. The invention has the advantages of the better realization of the wind energy track, high stability, miniaturization, convenient maintenance and easy to improve the performance etc. control effects, thus the whole system is simpler in control and lower in cost.

The invention discloses a wind measurement network layout method based on wind power plant layout in a large-scale wind power base. The method includes primarily distributing a point of a wind measurement network, wherein the distributed point serves as a weather forecasting point; building a weather forecasting model; obtaining forecasting values according to the built weather forecasting model and obtaining the wind speed and the wind direction of the forecasting point according to the built weather forecasting model; optimizing the wind speed and the wind direction of the forecasting point by reference to practical geography and topography conditions of the forecasting point on the basis of atmospheric boundary layer dynamics and boundary layer meteorological theories, and obtaining precise predicted values of the wind speed and the wind direction of the forecasting point; carrying out contrastive analysis on wind measurement data of multiple forecasting points with similar atmosphere environment and similar geography, simplifying multiple pre-built wind power base places with remarkable upstream and downstream effects and strong correlation, and therefore finishing wind measurement network layout. Therefore, the aim of providing anemometer tower distributing points for wind energy resource measurement in the large-scale wind power based on low cost conditions is effectively achieved.

A computer-implemented method for determining a site for a wind turbine within a confined geographical target region on the basis of an estimate of a maintenance parameter comprises determining a wind climate at the target region, the wind climate including e.g. average wind speed, pre-dominant wind directions, or turbulence intensities. A function expressing the maintenance parameter of the wind turbine as a function of the flow characteristics is defined, and the function is applied to the geographical position to compute an estimated value of the maintenance parameter at that position. Meteorological measurements may be used to obtain the flow characteristics. Wind measurements performed at one location may be numerically extrapolated by numerical methods, e.g. by CFD, to other locations. The maintenance parameter may be expressed as a maintenance risk, number of component replacements, or as a maintenance cost per energy unit. Three-dimensional visualization of wind turbines, e.g. in GoogleEarth™ is further provided by the invention.

The invention relates to a method for giving a wire damage alarm when lead wire is coated by ice, which performs calculation and judgment on disconnection, vertical overload of a tower and longitudinal unbalanced tension of the lead wire. The method is implemented by the following work procedures: a, calculating design load and actual load according to tower design, actual vertical span, the design load and ice thickness measurement data; b, at the same time, calculating wire tension and unbalanced tension according to the ice thickness measurement data and wind measurement data; and c, sending early-warning information when any of the design load and the actual load calculation, the wire tension calculation and the unbalanced tension calculation is overloaded. When an icing on-line monitoring device monitors the icing condition of a power supply wire, the method performs calculation and analysis according to the monitored data to judge whether the wire icing condition threatens the safety operation, and send warning signals in time.