159results about "Full-field flow measurement" patented technology

The invention discloses a water area surface flow velocity area monitoring method based on intelligent visual analysis, and relates to the technical field of intelligent visual analysis. According to the specific implementation scheme, continuous image collection is conducted on a target water area, dynamic images flowing on the surface of the water area are obtained, and image preprocessing is conducted on video frames of the dynamic images; directly comparing global feature similarities through feature extraction, feature matching and optical flow optimization by using an optical flow estimation algorithm of a convolutional neural network, and outputting optical flow field data of the water area surface flow velocity; after the optical flow field data are obtained, pixel displacement information of optical flow estimation is converted into a flow velocity field on an actual physical unit, and meanwhile regional distribution of the flow velocity on the surface of the water body is analyzed. According to the invention, the optical flow estimation algorithm of the convolutional neural network is utilized to directly compare global feature similarities and output water area surface flow velocity data.

A computer-implemented method for downscaling an ocean surface wind (OSW). The method comprises: obtaining an input image with a set of wind data, constructing an OSW downscaling model based on a TransUNet architecture; using the OSW downscaling model to generate an output image with a set of resulting wind data according to the input image, and before the OSW downscaling model is used to generate the output image, training the OSW downscaling model according to a plurality of sets of training samples, wherein the OSW downscaling model is trained by optimizing model parameters of the OSW downscaling model in a sense of minimizing a loss function for improving resolution.

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.

The invention belongs to the technical field of ocean observation, and particularly relates to a GNSS buoy wind speed inversion method and system based on a physical information neural network, by introducing the physical information neural network, a physical equation and a neural network are effectively combined, the precision and efficiency of wind speed inversion are optimized, the generalization ability of a model is improved, and the wind speed inversion accuracy is improved. Therefore, a more accurate, rapid and widely applicable wind speed inversion solution is realized.

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 particle fluid index on-line measurement method in a material drum type disassembling and crushing process, which comprises the following steps of: acquiring an image of the disassembling and crushing process on line without shutdown in an operation process of drum type disassembling and crushing equipment by installing a camera; a particle area image is extracted in the step S2, the particle area image is divided into a plurality of particle area units in the step S3, and the contour data of the particle area units are obtained; the method comprises the following steps: extracting particle region images of two continuous frames of images in the disassembling and crushing process in the step S2, obtaining a dense displacement vector field by using a pyramid structure Siamese network model in the step S5, and then performing calculation. The particle size distribution data of the rotating drum of the rotating drum type disassembling and crushing equipment at the shooting moment of the disassembling and crushing process images and the particle flow velocity field of the rotating drum of the rotating drum type disassembling and crushing equipment at the shooting moment of two continuous frames of disassembling and crushing process images are obtained through online calculation, and the method has the advantages of being high in precision and speed.

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 discloses a method for estimating the bedload sediment transport rate in an open channel based on surface velocity. By exploring the correlation between the surface velocity of the water flow and the movement of bedload sediment, the underwater bedload sediment transport rate is evaluated through surface flow field information. The present invention analyzes and obtains a reliable correlation between the surface velocity of the open channel and the profile distribution of the bedload sediment velocity from test data and numerical calculation results. Based on these correlations, the bedload sediment transport rate in the open channel can be effectively estimated using surface velocity information and water depth information. In actual engineering, surface velocity information is easier to obtain than bedload sediment movement, and has higher measurement accuracy. The surface velocity information can be obtained by obtaining images from drones or other devices, and then surface velocity data can be obtained through image processing. The technology is mature and has high measurement efficiency. Therefore, the method for estimating the bedload sediment transport rate in an open channel based on surface velocity disclosed by the present invention has the advantages of high universality, high accuracy, high efficiency, and low cost.

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.

Apparatus and associated methods relate to determining health of an electrical heater of an air data probe based on a comparison between a calculated expected value and a measured value of an electrical property of the electrical heater. The expected value of the electrical property is calculated based in part on the electrical power provided to the electrical heater and further based in part on the aircraft flight parameters and / or environmental conditions. Such aircraft flight parameters and / or environmental conditions can include at least one of: electric power source status, airspeed, air pressure, altitude, air temperature, humidity, liquid water content, ice water content, droplet / particle size distribution, angle of attack, and angle of sideslip. These aircraft flight parameters and / or environmental conditions are received via an aircraft interface.

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 an underwater anti-turbulent-flow device and an underwater operation method and device. The underwater anti-turbulent-flow device comprises an operation robot module; the auxiliary robot module is connected with the operation robot module; the Doppler velocity measurement module is connected with the auxiliary robot module and is used for acquiring the water velocity; and the flow blocking module is connected with the auxiliary robot module and is used for carrying out underwater anti-turbulence treatment according to the water flow speed. The flow blocking module comprises a propeller used for stirring water flow; the motor assembly is connected with the propeller and used for driving the propeller to rotate; the check ring is connected with the motor assembly and used for blocking water flow; the supporting rod is connected with the check ring; and the bracket is connected with the supporting rod. According to the underwater anti-turbulence device, the operation precision is improved, the endurance time is prolonged, and the energy consumption is reduced. The method can be widely applied to the technical field of underwater engineering.

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.

The invention discloses a non-disturbance back-purge device for a wind speed sampling pipeline, comprising an air duct (1), a back-up pipe (2), a dynamic pressure pressure-inducing pipeline (4) with a dynamic pressure pipe servo two-way ball valve (6), a static pressure pressure-inducing pipeline (3) with a static pressure pipe servo two-way ball valve (12), and a pressure transmitter (8). The dynamic pressure pressure-inducing pipeline (4) is connected to a purge air source distributor (22) through a back-purge dynamic pipe (37) with a dynamic pressure air source pulse generator (35) and a dynamic pressure first-level isolation electromagnetic valve (31), and the static pressure pressure-inducing pipeline (3) is connected to a purge air source distributor (22) through a back-purge static pipe (38) with a static pressure air source pulse generator (34) and a static pressure first-level isolation electromagnetic valve (32). The valves and the air source pulse generator are connected to a PLC control unit (25) through a line and are controlled by the PLC control unit (25). The invention can close and seal the sampling pipeline to prevent the back-purge airflow from interfering with the wind speed measuring device.

The invention provides an underwater vehicle flow field estimation method based on a distributed consensus algorithm. The method is suitable for an underwater environment which cannot be covered by GPS signals. The method does not need to directly measure the environmental flow velocity, and assumes that the aircraft can measure the relative position of a neighbor and the absolute position during floating. By converting these measurements into constraints of relative and absolute motion integral errors, the flow field estimation problem is converted into a non-linear inverse problem, and the set of non-linear equations is solved in a distributed manner. And each aircraft shares local flow field estimation with neighbors and updates an estimation value based on local constraints, so that efficient estimation of the flow field is realized. According to the method, effective work can still be kept when the communication network of the aircraft changes.

The embodiment of the invention discloses a gas diffusion translation calculation method and device, computer equipment and a storage medium. The method comprises the following steps: setting gas diffusion related parameters of each standard puff; initializing an observation space, an observation duration and an observation time point, and calculating a downwind direction and a crosswind direction; calculating a concentration matrix sequence of the standard puff of each ship at each time point within the observation duration to obtain a concentration matrix corresponding to each ship; and calculating a puff group concentration matrix of a plurality of ships at a specified observation point in the observation space according to the concentration matrix by adopting a standard puff multi-translation multiplexing mode. By implementing the method provided by the embodiment of the invention, the algorithm complexity during multi-ship continuous emission calculation can be greatly simplified, the repeated calculation amount is reduced, the memory space occupation is reduced, and the calculation time consumption is reduced.