120results about "Full-field flow measurement" patented technology

The invention is suitable for the technical field of hydrographic survey, and provides a river and channel water flow velocity measurement method based on video recognition and CFD simulation, and the method comprises the steps: S1, completing data collection and constructing a data set, S2, building a three-dimensional water flow model of a target river or channel, S3, generating a vertical flow velocity distribution model, S4, carrying out the image preprocessing of an obtained video stream, and S5, carrying out the calculation of a vertical flow velocity distribution model. S5, performing target detection on the preprocessed image and calculating an area of the flow velocity, S6, performing optical flow calculation on the extracted specific area and calculating the surface velocity, S7, establishing a distribution relationship between the surface velocity and the vertical velocity, and S8, calculating the real flow velocity of the river channel according to the surface velocity and the vertical velocity distribution. According to the method, the relation between the cross section vertical flow velocity obtained through simulation and the surface flow velocity obtained through calculation of the optical flow method is established, the real flow velocity is finally obtained, multi-source fusion of data is achieved, and the calculation accuracy and the flow velocity measurement precision are remarkably improved.

Described here are systems and methods that utilize visual imagery and an optical flow-based computer vision algorithm to measure river velocity in streams or other flowing bodies of water. The systems and methods described in the present disclosure overcome the barriers of conventional flow measurement techniques by providing a fast, non-intrusive, remote method to measure peak flows.

A flow field prediction device includes: an analysis result acquisition unit that acquires an analysis result based on a first computation method of analyzing at least an influence between buildings with respect to a flow field in which a city block including a plurality of buildings is set as a target region; and a prediction processing unit that inputs a new analysis result acquired by the analysis result acquisition unit to a learning model trained using teaching data that includes an analysis result based on a second computation method that is more accurate than the first computation method, as correct answer data for input data including at least the analysis result based on the first computation method, and outputs an output from the learning model as a prediction result of the flow field.

The invention discloses a hydrological flow and speed measurement method, which relates to the technical field of hydrological measurement and comprises the following steps: selecting a dynamic anchor point in a target speed measurement area, and carrying out anchor point hovering on an unmanned aerial vehicle according to the dynamic anchor point; the unmanned aerial vehicle collects surrounding images of the unmanned aerial vehicle to obtain obstacle data, and a motion route is generated in real time; the unmanned aerial vehicle performs video acquisition on the target velocity measurement area to generate a three-waveband water surface video, and analyzes the three-waveband water surface video to generate an initial velocity distribution diagram; the unmanned aerial vehicle collects riverbed data and water surface fluctuation data of the target flow measurement area, and according to the riverbed data, a riverbed terrain is obtained, and water depth data and a section average flow velocity are obtained; and constructing a three-dimensional water flow model, collecting a movement track of the buoy group and gyroscope data, correcting the three-dimensional water flow model, and outputting a hydrological flow and velocity measurement result. The method has the effects of improving the measurement precision of flow measurement and speed measurement and improving the flexibility and universality when facing a complex water area.

The invention belongs to the technical field of high-temperature flow field velocity testing, and discloses a PIV (particle image velocimetry) endoscopic protection device for measuring a high-temperature airflow velocity field, which is suitable for measuring three-dimensional velocity field distribution in a turbine channel, between stages and at an inlet and an outlet of a turbine in a high-temperature and high-speed airflow environment. The device is characterized by comprising a shell, an inner wall, a sapphire glass tube, a partition plate, a light guide window, a water inlet channel, a water outlet channel, an optical element, a mounting seat and a cavity. The shell, the inner wall and the sapphire glass tube are coaxially sleeved and respectively form two-stage interlayers; the space between the shell and the inner wall is divided into an n-shaped water inlet channel and an n-shaped water outlet channel through a partition plate, circulating flowing of cooling water is achieved, and an endoscope optical assembly and a sapphire glass tube are efficiently cooled. Light guide windows are formed in the side wall of the shell from top to bottom in an equal-diameter and equal-interval mode, and an optical element capable of moving up and down in the glass tube in the axial direction is combined, so that the narrow measurement section in the turbine can be accurately measured; according to the structure, the temperature near the sapphire glass tube can be controlled below 500K under the extreme condition that the external environment temperature is up to 2000K, high temperature is effectively isolated, thermal stress concentration is relieved, and stable signal transmission and imaging measurement are ensured. Compared with the prior art, the endoscope probe can accurately reach a measurement area which is difficult to cover by a traditional light source, and efficient and stable measurement of a high-temperature, complex and narrow space flow field is achieved.

Nitric-oxide ionization induced flow tagging and imaging (NiiFTI) is described. In one embodiment a method for characterizing a flow of a gas containing an agent includes ionizing the agent by a source of pulsed light emitting at a frequency overlapping a resonant transition frequency of the agent. In response to ionizing of the agent, a fluorescence of the gas is generated. The method also includes capturing at least one time-delayed image of the flow of the gas, where the capturing is time-delayed with respect to a pulse of the source of pulsed light. The method includes determining at least one property of the flow of the gas by analyzing the at least one time-delayed image of the flow.

The invention discloses a flexible piezoelectric cilia sensor array for detecting flow velocity, flow direction and air pressure, which belongs to the field of bionic airflow sensing and comprises an air bag cilia sensor array, a piezoelectric film sensor array, a signal processing module, an airflow signal output end, a comprehensive signal output end and a wire. The air bag cilium sensor array is composed of air flow sensing units and comprises a base, a supporting piece, a film air bag, an annular electrode and piezoelectric cilia. The piezoelectric film sensor array comprises a common ground layer, a sensing layer, a positive electrode layer and an isolation protection layer from top to bottom; and the signal processing module comprises a comprehensive signal receiving end, an airflow signal receiving end and an external equipment connecting end. The air bag cilium sensor array and the piezoelectric film sensor array sense air flow and air pressure signals in real time and input the signals into the signal processing module, electric signals output by the connecting end of external equipment are analyzed, and multi-dimensional, real-time and high-sensitivity detection of the flow speed, the flow direction and the air pressure is achieved.

The invention relates to the technical field of flow field measurement, in particular to an ocean flow field measurement method and device, and provides the following scheme: the method comprises the following steps: collecting ocean environment parameters through a vertical sensor, determining an overlook angle of an inclination sensor based on an optimization algorithm, and generating a virtual Doppler measurement array through micro-amplitude scanning; inputting to a chaotic oscillator network to identify a Lyapunov exponent maximum direction, and determining a horizontal included angle of a second inclination sensor; furthermore, a frequency shift signal is collected, and the flow velocity and the flow direction are calculated by combining adjusting parameters, so that high-precision and high-adaptability flow field measurement is realized; the method has a dynamic response capability, and is suitable for direction structure identification and real-time flow direction calculation under complex sea conditions.

A wind estimation apparatus includes an acquisition unit and an estimation unit. The acquisition unit acquires a target image of a target region. The estimation unit estimates at least one of a direction and strength of wind in the target region by using the target image.

The invention belongs to the technical field of synthetic aperture radars, and particularly relates to a relative atmospheric wind speed measurement method based on time delay D-I nSAR. The method specifically comprises the steps of 1, obtaining differential interferograms of all distributed SAR satellites, and performing multi-view and phase filtering on the differential interferograms of all the satellites; 2, carrying out thresholding processing on the obtained image, converting the image into a binary image, and identifying water vapor group feature points; calculating an initial wind speed v0 by using the center displacement vectors of the feature points of the two adjacent images; and step 3, performing coordinate system conversion and coordinate axis length conversion on the obtained initial wind speed to obtain a two-dimensional relative wind speed of an atmospheric water vapor dense height layer of a plane parallel to the ground between two moments of satellite heavy orbit observation.

This invention discloses a multi-scale time-frequency analysis method and system for ocean current meter signal processing, relating to the field of marine information processing. The method includes: S1: acquiring raw data and performing physical benchmark correction to obtain three-dimensional current velocity data and basic mass labels; S2: extracting first and second features from the three-dimensional current velocity data through spatiotemporal decoupling; S3: fusing and separating the three-dimensional current velocity data based on the first and second features to obtain an optimized set of flow field parameters, and generating the uncertainty of each parameter by combining the basic mass labels and error source information; S4: performing comprehensive quality assessment and grading based on the first and second features and the uncertainty, outputting a data product with mass labels and uncertainty information. By extracting spatiotemporal dual-dimensional features and using them to guide signal fusion and quality assessment, highly robust processing of ocean current data and end-to-end quality traceability are achieved, significantly improving the reliability of the data product.

A gas monitoring method includes: acquiring a plurality of velocity vectors obtained by performing optical flow estimation processing on a plurality of pieces of image data obtained by imaging at a plurality of times with an imaging device mounted on a UAV; acquiring a downwash velocity u of the UAV based on at least one variable indicating a flight state of the UAV; and extracting a gas velocity vector having a magnitude within a range determined based on the downwash velocity u from the plurality of velocity vectors.

The present invention relates to a method, a system and a computer program for determining the flow of a tracer in a measurement space, said method comprising the following steps: a) injecting a tracer into the measurement space at a first injection region using a tracer seeding device configured to inject the tracer into an adjustable injection region within the measurement space; b) recording the measurement space with two or more event cameras, each event camera comprising a plurality of sensors configured to generate output data each time a change in light intensity is sensed by the sensor of the event camera, the output data including information about the location of the sensor that sensed the change in light intensity and the time of the change in light intensity; c) determining, from the event camera data, with a processor, trajectories in measurement space for at least some of the injected tracers, wherein each trajectory includes information about the time-resolved three-dimensional position of at least the tracer, and the determination of the trajectories is facilitated in real time; d) adjusting the implantation area to at least a second implantation area while performing steps b) and c).

A wind flow sensing system for determining turbulence of wind flow at different elevation sets above terrain is provided. The wind flow sensing system includes an input interface configured to receive, for a set of time steps, a set of measurements of radial velocity at a site line point above terrain for each elevation, and a processor configured to estimate a velocity field for each elevation based on data assimilation of the velocity field, estimate an unbiased horizontal velocity at each elevation for each time step, determine a mean of the unbiased horizontal velocity for a time period including the set of time steps, and determine turbulence based on the unbiased horizontal velocity for each time step and the mean of the unbiased horizontal velocity.

The present application relates to the field of data analysis technology, and in particular provides a three-dimensional true wind measurement data analysis method and system based on cloud computing, and proposes a technical idea that combines a mobile small-scale dynamic compensation three-dimensional true wind measurement technology with the data processing capabilities of cloud computing. By introducing advanced dynamic compensation true wind measurement technology, high-precision, real-time measurement of wind speed and direction is achieved. At the same time, with the help of the powerful data processing capabilities of the cloud computing platform, the collected three-dimensional true wind data is efficiently processed, stored and analyzed, thereby providing users with real-time wind speed and direction information. In addition, in response to the shortcomings of traditional technologies in data processing and analysis, it is further proposed to deeply explore the correlation between data by determining the correlation characteristics of wind condition changes and the correlation characteristics of monitoring elements. This not only improves the efficiency and accuracy of data processing, but also enables real-time monitoring and prediction of wind condition changes, thereby meeting the modern complex and changeable wind condition monitoring needs.

The present invention relates to a sailing boat comprising an aerodynamic profile and a system for determining the characteristics of the incident air flow on its leading edge. In order to be able to precisely determine the position of the stagnation point at different regions along the leading edge of the aerodynamic profile, a system comprises: rows (S1 to S5) of pressure sensors (16) distributed on either side of the leading edge (14) and virtually forming a pattern (M1 to M5) spaced apart from each other in the form of a simple broken line; and a computer (20) connected to the pressure sensors (16). The computer (20) determines the corresponding stagnation point position along each of the patterns (M1 to M5), the stagnation point position being defined by the abscissa of the curve (a1 to a5) and by the height (z1 to z5) evaluated based on the corresponding height data from the pressure sensors (16) in the corresponding rows (S1 to S5), for which the pressure P*, interpolated based on the pressure measurements provided by the pressure sensors (16) in the corresponding rows (S1 to S5), is at a maximum.

The invention belongs to the field of marine environment monitoring, and particularly relates to a method for synchronously measuring the drifting speed of floating objects on the sea surface and the flow speed of ocean currents on the peripheral surface layer, which comprises the following steps: manufacturing a drifting buoy, and enabling the drifting buoy to vertically float on the sea surface and be completely submerged in water through a steel bar counterweight; releasing the drifting buoy to a target position through the unmanned aerial vehicle; tracking and shooting drifting buoys and sea surface floating objects, and acquiring and storing image data containing positions of the drifting buoys and the sea surface floating objects; converting the relative positions of the pixels of the image data acquired by the unmanned aerial vehicle into latitude and longitude coordinates, and generating a TIFF file; after the unmanned aerial vehicle image of the TIFF file is subjected to geometric correction, the corrected TIFF file is transmitted to QGIS software, the drifting buoy position and the sea surface floating object position are marked, and the imaging moment is synchronously recorded; and calculating the sea surface floater drift speed and the peripheral surface ocean current flow velocity based on the position change at the adjacent moments. According to the scheme, the sea surface flow velocity of the near area of the sea surface floating object can be accurately measured, and the depth of the measured surface flow velocity is determined.

The present application provides a turbulence intensity calculation method, model training method, device, equipment, and medium, relating to the field of wind power generation. The turbulence intensity calculation method includes: obtaining measured geographic data and measured wind resource data from a remote sensing wind sensing device; inputting the measured geographic data and measured wind resource data into a pre-established wind speed standard deviation conversion model to obtain the target wind speed standard deviation of the wind tower; and calculating the turbulence intensity at the location of the remote sensing wind sensing device based on the target wind speed standard deviation of the wind tower. Utilizing the technical solution of the present application can improve the accuracy of executing business operations using turbulence intensity obtained from a remote sensing wind sensing device.

The application discloses a marine shipborne wind measuring device and a wind measuring method, which comprises a left fixing plate arranged on the left edge of the upper surface of the deck of a ship body, a right fixing plate arranged on the right edge of the upper surface of the deck of the ship body, two connecting mechanisms arranged on the left fixing plate and the right fixing plate respectively, a left vertical rod limiting sleeve and a right vertical rod limiting sleeve connected with the two connecting mechanisms respectively, a left square vertical rod and a right square vertical rod in sliding connection with the left vertical rod limiting sleeve and the right vertical rod limiting sleeve respectively, and a left counterweight and a right counterweight arranged at the lower ends of the left square vertical rod and the right square vertical rod respectively. The application has the characteristics of effectively reducing the influence of the space movement of the ship body on the wind measuring device, high measuring accuracy and good measuring stability.

The invention discloses a wind power evolution analysis device for complex terrains, which comprises a wind power monitoring shell, a displacement power shell and a connecting steel cable, and has the beneficial effects that the device adopts a point-to-point displacement structure, the structure is erected at two ends of a to-be-measured and analyzed area, and meanwhile, the structure is connected with the connecting steel cable; the device is further provided with a wind power measuring and calculating structure, by means of the unique design, the device can freely move in a target interval, and the wind speed in the area can be flexibly and accurately monitored and deeply analyzed. In the monitoring process, the device can collect a large amount of wind speed related data, comprehensive carding and deep mining are carried out on the data through a big data integration technology, and on the basis, full and systematic analysis can be carried out on wind power evolution in an interval.

A gas monitoring method includes: acquiring a plurality of velocity vectors obtained by performing optical flow estimation processing on a plurality of pieces of image data obtained by imaging at a plurality of times with an imaging device mounted on a UAV; acquiring a downwash velocity u of the UAV based on at least one variable indicating a flight state of the UAV; and extracting a gas velocity vector having a magnitude within a range determined based on the downwash velocity u from the plurality of velocity vectors.

A wind flow sensing system is provided for determining wind flow at a set of different elevations above a terrain. The wind flow sensing system includes: an input interface configured to receive a set of measurements of radial velocity at in-situ line points above the terrain for each elevation; and a processor configured to estimate the velocity field for each elevation based on data assimilation of the velocity field above an approximation of the shape of the terrain using a set of one or more convex shapes to fit the measurements of the radial velocity, and to estimate the horizontal velocity at each elevation as the horizontal projection of the corresponding radial velocity corrected by the corresponding horizontal derivative of the vertical velocity of the estimated velocity field. The wind flow sensing system further includes an output interface configured to render the estimated horizontal velocity at each elevation.

The invention provides an urban wind speed monitoring and assimilation method and system based on tree swing features. The system comprises an image acquisition module, an image processing and feature extraction module, a model training and storage module, a wind speed inversion module, a data assimilation module and a data storage and visualization module. Comprising the following steps: deploying a camera in a target area; collecting a tree image sequence by using a camera; extracting swing characteristic parameters of different tree species based on the tree image sequence; constructing swing-wind speed mapping models of different tree species based on the swing characteristic parameters of different tree species and tree attributes; inverting urban wind speed distribution based on the swing-wind speed mapping model; and assimilating the wind speed distribution into an urban wind field mode. The method has the advantages that urban-scale refined wind speed monitoring is achieved through existing camera resources, the spatial-temporal resolution of wind speed data is improved, and powerful support is provided for urban meteorological service, disaster prevention and reduction and the like.

The invention relates to a method for testing the function of a system (1). According to the invention, real models (7, 8) of details of a virtual 3D model (39) of the system are created, the spatial position and orientation of said real models being captured by a 3D measuring device (11) during the function testing, wherein said determined orientations and positions can be used to manipulate virtual objects (3, 4) in the 3D model (39) in order to display a visual impression (20) in a virtual reality of handling or manipulating the real models (7, 8).

A ground-based Doppler asymmetric spatial heterodyne anemometry interferometer for automatic detection belongs to the technical field of interference imaging, aims to solve the problems in the prior art, and is characterized in that a turntable scanning mirror is arranged at the top of a fixed frame; the front optical lens group, the temperature controller, the fringe imaging lens group, the interference module, the calibration system and the detector are arranged in the fixed frame; the upper computer is connected with the turntable scanning mirror and points to five directions of external east, south, west, north and zenith for wind field detection; pointing to an internal calibration system; light detected by the rotary table scanning mirror is reflected into the front optical lens group, the front optical lens group is located at the rear end of the rotary table scanning mirror and transmits light beams into the interference module, and the interference module is located between the front optical lens group and the fringe imaging lens group and arranged in the temperature controller; the temperature controller accurately regulates and controls the temperature of the interference module; interference fringes are formed through modulation of the interference module, and the interference fringes are imaged on the detector through the two coherent light beams through the fringe imaging lens group.

The application relates to a quality control method for wind data in L-band high-altitude meteorological detection, which comprises the following steps: acquiring wind data, wherein the wind data comprises time data, height data, elevation angle data, slant range data and azimuth angle data; performing quality inspection on the height data, marking the height data as abnormal or normal; repairing the height data marked as abnormal; dividing the elevation angle data, the slant range data and the azimuth angle data into several segments according to the height, respectively determining the quality inspection standards of the segment data; performing quality inspection on the elevation angle data, the slant range data and the azimuth angle data according to the quality inspection standards, marking the elevation angle data, the slant range data and the azimuth angle data as abnormal or normal; repairing the elevation angle data, the slant range data and the azimuth angle data marked as abnormal; and outputting the quality inspection result and the repair result of the wind data.

Grids representing predictions of wind vectors (or velocities) over a ground region are obtained from a model and downscaled to a greater level of resolution based on surface roughness metrics of the ground region. Observations of wind vectors over the ground region are determined from ground-based or airborne systems and assimilated into the grids. Subsequently, grids representing the assimilated wind vectors at an initial time, and the predictions of wind vectors at future times, are provided as inputs to a machine learning model, such as a gradient-boosted decision trees algorithm, along with the surface roughness metrics and other relevant features. A continuous representation of predicted wind vectors over the ground region generated based on outputs received from the model is utilized to make operational decisions regarding an aerial vehicle.

The invention discloses a wind resource assessment method and system based on an optimized energy mode factor. According to the method, data preprocessing, parameter estimation, model verification and final evaluation are integrated into a standardized and repeatable process, so that the consistency and reliability of evaluation results are ensured; an energy mode factor directly related to wind energy is introduced to serve as a core target, a trustworthy region broken line algorithm is adopted to optimize parameter solution for solving, and it is ensured that the finally obtained Weibull parameter can reflect the energy characteristics of wind most truly instead of just the statistical distribution form of the wind speed; due to the improvement of the Weibull parameter estimation precision, the average wind energy power density calculated on the basis of the distribution model is closer to a true value, scientific support can be provided for wind power plant site selection, fan type selection and wind energy potential evaluation, and fine development of wind power projects is promoted.

A method and a system for obtaining fluid flow directions of a tundish water model are provided, and the method includes the following steps: building the tundish water model with a preset similarity ratio with a tundish prototype; carrying out an ink diffusion experiment in the tundish water model, and shooting a video of an ink diffusion process; carrying out a binarization processing on the video of the ink diffusion process frame by frame to obtain binarized images; obtaining a time grayscale map based on grayscale values of the binarized images; obtaining a velocity vector map of the tundish water model based on grayscale gradients of the time grayscale map; and obtaining a moving direction of the ink based on the velocity vector map, and obtaining a flowing direction of fluid in the tundish water model based on the moving direction.

Aspects of this disclosure are directed to optical probes for collecting images of a region of interest for determining wall shear stress. The optical probe includes an imager with a line of sight and a light guide configured to steer light from a light source to the region of interest. The optical probe includes an objective configured to focus light reflected off of the region of interest to the line of sight of the imager. The optical probe can include a micro-lens array at the objective. The micro-lens array can focus light from the objective onto the imager. The imager can collect images from the light from the micro-lens array for determining wall shear stress at the region of interest.