388 results about "Velocity measurement" patented technology

The invention discloses a pan-tilt-free dynamic compensation water flow velocity measurement system used in a vibration environment. The pan-tilt-free dynamic compensation water flow velocity measurement system comprises a multi-source sensor module, a dynamic motion compensation module, a self-adaptive Kalman filter bank and a data credibility evaluation module, the multi-source sensor module is used for collecting platform attitude information, water flow original speed and platform height. The dynamic motion compensation module comprises an attitude solution sub-module and an error calculation sub-module and is used for realizing flow velocity dynamic compensation under the condition of no holder structure; the adaptive Kalman filter bank comprises an angular velocity filter and a flow velocity filter, the angular velocity filter dynamically adjusts filtering parameters according to the angular motion intensity of the platform, and the flow velocity filter dynamically switches processing strategies according to the effectiveness of a water flow signal measured by the radar; and the data credibility evaluation module is used for carrying out stability judgment based on a sliding window variance-trend joint detection algorithm. According to the invention, attitude calculation and motion compensation are fused, and accurate measurement of the water flow velocity of the holder-free platform in a vibration environment is realized.

The invention discloses an intelligent control and detection system for precision coating uniformity, and relates to the technical field of non-contact thickness measurement, the system comprises a spectrum confocal chromatography detection module, a non-contact multi-wavelength full-breadth detection module, an optical flow field dynamic measurement module and the like, a data processing unit is combined with a model to generate an evaluation model, and the evaluation model is used for evaluating the coating uniformity. The system has the advantages that multi-layer coating structure data are obtained in a full-breadth mode through a linear array sensor of the spectrum confocal chromatography detection module, a slurry full-breadth flow velocity vector field is analyzed in combination with the optical flow field dynamic measurement module, and the flow velocity measurement accuracy is improved. And the data processing unit fuses the multi-modal data to generate an evaluation model, and the regulation and control strategy generation module outputs an instruction containing edge air pressure regulation, so that accurate control over coating uniformity is achieved, damage to a base material is avoided, material waste and manual debugging time consumption are reduced, and the production efficiency and the product yield are remarkably improved.

The invention relates to the technical field of underground engineering groove wall stability physical simulation, and discloses a model test device and method for stratum excavation and grouting reinforcement, and the model test device comprises a grooving construction module, a grouting support module and a dynamic monitoring module. The device adopts a pressing plate method to simulate a grooving excavation process, so that the device conforms to an actual excavation working condition from top to bottom; a servo motor drives a power lead screw to drive a model groove to move downwards, so that a free face is formed in a sand layer, and the actual excavation working condition is simulated; a water tank for storing fresh slurry is pressurized by using an air compressor, so that the slurry overflows from the hollow model groove section, and the permeation and invasion process of the slurry is simulated; and a water and soil pressure gauge and a matched acquisition device are arranged in the sand layer, and a soil displacement field is obtained by utilizing a particle image velocity measurement system, so that the visualization of the whole process of excavation-grouting-invasion is realized. It is ensured that simulation results are highly matched with actual working conditions, and accuracy and reliability are improved.

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 discloses a speed measurement method based on single-frame multiple exposure, and belongs to the field of hypersonic velocity field measurement. The implementation method comprises the following steps: recording equal time interval change of molecular marking in a flow field along with movement of the flow field through single-frame multi-time exposure imaging of an image enhancement camera, and realizing continuous and rapid acquisition of speed information within a short time after single-time marking. The morphological position after the time interval is determined according to the molecular marker, and the velocity field with spatial resolution in the flow field is extracted by mapping the marker before and after displacement, so that the velocity measurement precision is improved. Compared with other two-dimensional velocity field acquisition methods based on femtosecond laser molecular marker tracing velocity measurement, the method provided by the invention does not need a complex focusing lens combination, can obtain spatial positions of molecular markers at different moments only through isochronous continuous triggering exposure of a camera, thereby obtaining velocity flow field displacement information. And corresponding acceleration information can be further deduced according to the obtained velocity field. The method is especially suitable for hypersonic velocity field measurement.

The invention discloses a channel flow velocity measurement error compensation method based on multi-source fusion, and the method comprises the following steps: S1, synchronously collecting flow velocity, position, attitude and environment data, including ADCP radial flow velocity, GNSS position / speed and IMU attitude angular velocity, through a multi-source sensor, aligning multi-source data based on a time synchronization mechanism, and achieving microsecond time synchronization based on PPS time service; according to the method, RTK high-precision positioning and ADCP bottom tracking data are integrated, the water surface elevation and the water bottom distance are inversed in real time, and the actual water depth and the riverbed erosion and deposition rate are dynamically calculated; edge calculation, motion compensation and external compass correction technologies are fused, the flow velocity and flow direction measurement precision is improved, and platform motion and attitude interference is eliminated; multi-source data local fusion processing and real-time generation of a flow velocity thermodynamic diagram and a water level change curve are realized, remote transmission and visualization are supported, and comprehensive and accurate hydrological data support is provided for maritime affair intelligent supervision, navigation safety early warning and digital channel construction.

The invention discloses a one-dimensional and two-dimensional simultaneous diagnosis shock wave velocity measurement system, and relates to the technical field of shock wave velocity diagnosis. The system comprises a targeting light receiving unit, a one-dimensional line imaging unit and a two-dimensional velocity field unit which are arranged on the same light path, the target shooting light receiving unit comprises a light receiving module and a target spot; the one-dimensional line imaging unit comprises a probe light injection module, a light splitting module, a first beam splitter, a first reflector, an interference module and a one-dimensional continuous velocity field measurement module; the two-dimensional velocity field unit comprises a two-dimensional dynamic velocity field diagnosis module; the two-dimensional dynamic velocity field diagnosis module comprises an integration branch and a compression coding branch. According to the system provided by the invention, in the process of performing one-dimensional and two-dimensional shock wave velocity field diagnosis, one-dimensional shock wave velocity evolution and two-dimensional velocity field non-uniformity evolution data can be simultaneously obtained in a single-shot experiment, the overall structure is compact, and a foundation is laid for shock wave velocity multi-dimensional diagnosis.

The invention discloses an acoustic Doppler flow velocity measurement method and system, and the method comprises the steps: generating an emission parameter combination adaptive to a current hydrological environment according to the depth characteristics and precision requirements of a target water area; original echo signals are collected based on the emission parameter combination, and a three-dimensional flow velocity vector of temperature compensation is output; inputting the three-dimensional flow velocity vector into the dynamic segmentation network to generate a layered flow velocity distribution model; calling a layered flow velocity distribution model, fusing fluxgate compass azimuth data to carry out flow direction compensation, triggering a deviation correction algorithm when equipment inclination exceeds a limit, and outputting absolute flow velocity distribution of pose calibration; and according to absolute flow velocity distribution and echo intensity dynamic range constraint, calculating an error interval of each depth unit, and outputting a final flow velocity profile with confidence identification. According to the embodiment of the invention, the environmental adaptability and data reliability of flow velocity measurement can be improved.

The invention provides a real-time calibration method and system for an inertial measurement unit, and a terminal, and the method comprises the steps: carrying out the first correction of an acceleration measurement value and an angular velocity measurement value which are output by a to-be-calibrated inertial measurement unit and are obtained in real time based on a temperature error compensation data table, and carrying out the second correction through employing a multi-sensor fusion filtering algorithm; on one hand, a temperature variable is introduced to carry out a multi-temperature zero offset test and a multi-temperature multi-axis rotation excitation test, a temperature error compensation data table is established, and the influence of temperature on the performance of the to-be-calibrated inertial measurement unit is fully considered; on the other hand, a multi-sensor fusion filtering algorithm is adopted, interference of vibration noise can be suppressed, the attitude calculation precision of the to-be-calibrated inertial measurement unit is improved, and therefore the calibration precision of the to-be-calibrated inertial measurement unit is guaranteed; the technical problems that an existing inertial measurement unit calibration method is low in calibration precision and poor in real-time performance are solved.

The invention discloses a nanosecond particle velocity measurement method based on orthogonal line polarization beam splitting, and belongs to the technical field of particle image velocity measurement. The method comprises the following steps: providing two linear polarization state orthogonal double-pulse lasers, and respectively outputting S polarization pulse light beams and P polarization pulse light beams; the four pulse light beams are combined through the double-path laser beam combining mirror set and output to the sheet light mirror set, and a plane illumination jet flow field with the thickness smaller than or equal to 1 mm is formed; scattered light is separated according to a polarization state by using a polarization beam-splitting cubic prism, and particle images under S polarization and P polarization are respectively captured by two double-exposure cameras which are orthogonally arranged; five kinds of time sequence control are triggered through a multi-channel synchronous controller; processing the view field deviation of the two cameras by adopting a block polynomial alignment method; and calculating a particle velocity field based on a particle tracking velocity measurement algorithm. According to the invention, the polarization debugging error is reduced, the homogeneity error after beam combination is obviously reduced, the coincidence degree of the four beams of planar light is improved, and a high-precision universal alignment scheme is provided for the multi-camera PTV technology.

The invention provides a river flow velocity intelligent monitoring method and system based on multi-scale optical tracking velocity measurement. A plurality of detectors with different characteristics are organically combined, and dynamic grid density adjustment based on flow velocity gradient is realized through adaptive grid adjustment; establishing a multi-dimensional track quality evaluation system through intelligent track evaluation; the real-time performance optimization realizes the performance optimization of multi-thread parallel processing, integrates an intelligent grid optical flow detection and dynamic density adjustment mechanism, and optimizes the detection precision and performance in real time according to the flow velocity gradient and the flow field complexity; a multi-track quality evaluation system is utilized, tracks are screened and fused from three dimensions of motion consistency, physical constraint and time stability, and the accuracy and reliability of data are remarkably improved. The method overcomes the problems that a traditional speed measurement method is complex in operation, limited in environment, insufficient in precision and the like, supports real-time processing, can be widely applied to the fields of water conservancy projects, environment monitoring, flood prevention early warning, scientific research and education and the like, and has remarkable advancement and practical value.

The invention relates to an experimental device and method for researching liquid drop dynamics and evaporation characteristics. The experimental device comprises a liquid drop generation system, a metal flat plate control system, a height adjusting system and a data acquisition system, the liquid drop generation system is used for generating liquid drops impacting the metal flat plate; the metal flat plate system is used for adjusting the inclination angle of a metal flat plate to heat the metal flat plate; the height adjusting system is used for adjusting the height from the liquid drop generating system to the metal flat plate, so that the liquid drops impact the metal flat plate at different speeds; the data acquisition system comprises a high-speed camera, an infrared camera, a particle image velocity measurement device, a light source and a computer, and is used for measuring the morphological change, velocity field and temperature field of liquid drops in the process of impacting the metal flat plate; the invention further provides an experimental method. According to the invention, the morphological evolution process of the liquid drops can be measured, and the dynamics and evaporation characteristics of the liquid drops when impacting metal plates with different inclination angles and surface types can be studied.

The invention discloses a space-time image velocity measurement method and system based on multi-direction Gabor filtering, and the method comprises the steps: carrying out the filtering processing of a space-time image through Gabor filters in multiple directions, so as to enhance the texture features in multiple directions, carrying out the image quality evaluation of a Gabor filtering image in each direction, and obtaining the velocity measurement of the space-time image. The filtering direction with the best textural feature enhancement effect is screened out; a clustering point set with the highest comprehensive evaluation score is screened out through a two-layer evaluation screening mode of clustering quality evaluation and line segment quality evaluation, straight line fitting is carried out based on the clustering point set, an optimal flow velocity line can be obtained, and the river surface flow velocity is obtained through calculation; according to the method, a three-layer evaluation system composed of filtering direction evaluation, clustering quality evaluation and line segment quality evaluation is combined, a high-quality, correct and effective flow velocity line can be accurately extracted from a space-time image, and the accuracy and robustness of a flow velocity measurement result are greatly improved.

The invention provides a broadband beam forming acoustic Doppler velocity measurement system and method based on time delay control, which can transmit and receive broadband signals and solve the problem that the measurement precision of the existing acoustic Doppler velocity measurement system is influenced by bandwidth. The velocity measurement system comprises a transducer module, a beam forming module and a conversion module, the transducer module comprises a planar transducer array and an impedance matching module connected with the planar transducer array; the transducer module is in signal connection with the beam forming module through the conversion module, and the beam forming module is used for performing time delay compensation and weighting processing on a received signal; and the conversion module is used for converting the echo signal acquired by the transducer module into a digital signal and inputting the digital signal into the beam forming module, or converting a to-be-transmitted signal received from the beam forming module into an analog signal and transmitting the analog signal through the transducer module.

The invention discloses a simulation lunar dust excitation speed measurement system and method under a vacuum plume action condition, and relates to the technical field of aerospace engineering, and the system comprises a vacuum chamber and thruster system, an image collection assembly, a synchronous control collection system, a pulse laser light path, a high-speed spotlight, and a simulation lunar surface. In the invention, two optical systems of particle image velocity measurement and particle tracking velocity measurement are integrated in the same experiment, and the 532nm optical filter and the light trapping sheet are configured to realize compatibility of optical requirements, so that the problems that lunar dust particles with different scales and velocities cannot be measured synchronously and the optical systems interfere with each other in the prior art are solved; according to the method, velocity field data of micron-sized high-speed small particles and millimeter-sized low-speed large particles can be synchronously obtained and directly correspond to each other, the measurement integrity and reliability are improved in combination with simulation environment and synchronous control, and accurate data support is provided for spacecraft lunar dust prevention design.

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 application discloses an indoor water tank sediment starting speed measurement system and method, and aims at solving the technical problem of sensor disturbance to a flow field and influence on data accuracy in the prior art measurement method.The technical scheme core is that the non-contact measurement characteristics of the PIV technology are applied to the whole process from flow field construction to data acquisition.The device is mainly composed of an imaging unit, a laser illumination unit, a movable sliding frame, a water flow adjusting unit and a buffer plate.Optical measurement is performed through the imaging unit and the laser illumination unit, and physical sensors do not need to be arranged in the flow field, so that the interference of the measuring instrument on the water flow structure and the sediment starting process is fundamentally avoided.The integrated movable sliding frame integrates the sediment laying, particle throwing and measurement functions, and is convenient for quickly positioning a test area;in combination with the buffer plate and the water inlet and drainage adjusting unit, a gradually changing flow field from weak to strong can be accurately and stably simulated.

The invention discloses a background schlieren method flow field flow velocity measurement method based on pseudo-schlieren images. The method comprises the following steps: constructing a background schlieren experiment measurement system; obtaining a speckle plate image sequence without a flow field background; obtaining a background distortion image sequence; obtaining a pseudo schlieren image sequence; and obtaining the final flow velocity of the flow field to be measured. The method has the advantages that a background plate distortion image sequence under the action of a flow field is collected through a high-speed camera, and pseudo-schlieren transformation processing is carried out through an improved mixed gradient operator and a multi-scale feature fusion technology; and a flow velocity field is solved in combination with a PIV-optical flow fusion algorithm, and real-time processing is realized through GPU parallel computing. The method breaks through the limitation that the traditional PIV technology depends on tracer particles, has the advantages of non-contact, full-field measurement, high temporal-spatial resolution and the like, and is particularly suitable for compressible flow field and turbulent flow field measurement. Experiments show that the method can realize high-resolution and high-frame-rate image processing, the uncertainty of flow velocity measurement is less than 3.2%, and a new technical means is provided for complex flow field diagnosis.

The invention relates to a centrifugal compressor PIV speed measurement and analysis method, device and equipment and a medium. The method comprises the following steps: acquiring flow field optical measurement data of the centrifugal compressor through a particle image velocity measurement technology; inputting optical measurement data of the flow field into a deep learning model, and extracting dynamic characteristics of the flow field through a characteristic extraction layer of the deep learning model; reconstructing the dynamic characteristics of the flow field into a three-dimensional flow field velocity vector field by using a velocity vector reconstruction layer in the deep learning model; and generating a velocity measurement analysis result based on the three-dimensional flow field velocity vector field. By adopting the method, the multi-scale dynamic characteristics in the complex three-dimensional rotating flow field of the centrifugal compressor can be effectively captured, high-precision three-dimensional velocity vector reconstruction is realized, and the spatial resolution and robustness of flow field measurement are improved.

The invention discloses a transfer alignment method and transfer alignment equipment based on a Lie group left invariant error model, and belongs to the field of inertial navigation systems. The method comprises the following steps: firstly, establishing a left invariant error state model between a master inertial navigation system and a slave inertial navigation system based on the Lie group theory; secondly, constructing an attitude and speed error differential equation considering the lever arm effect and the installation error angle influence at the same time, then selecting attitude and speed measurement defined under the Lie group, and establishing a corresponding measurement equation; and finally, designing an unscented Kalman filter according to the nonlinear state equation and the measurement equation, and carrying out joint estimation on parameters such as a misalignment angle, a speed error, a lever arm vector, an installation error angle and inertial navigation zero offset. The transfer alignment method provided by the invention not only fully considers the actual lever arm error between the main inertial navigation system and the sub inertial navigation system, improves the integrity of system error modeling, but also adopts the local navigation coordinate system as the reference coordinate system, is closer to the actual engineering requirements, and has good universality and engineering application prospects.

A radar apparatus, mounted to a vehicle, includes: a transmitting unit that transmits a transmission signal at a set repetition cycle; and a receiving unit that receives a reflection signal reflected by at least one object. The radar apparatus calculates a velocity residual of each of at least one target object, which is a difference between a velocity prediction value and a velocity measurement value. Based on a magnitude of variation in the velocity residual in time series of each of at least one target object, the radar apparatus calculates an evaluation value of each of at least one target object, which corresponds to a probability of each of at least one target object being a folding ghost. Based on the evaluation value of each of at least one target object, the radar apparatus determines whether each of at least one target object is a folding ghost.

The invention relates to the technical field of particle image velocity measurement, solves the technical problems that a traditional method cannot realize effective tracking of particles under the condition of dense particles and is relatively poor in robustness, and particularly relates to a flow field velocity measurement method for dense particle tracking. The method comprises the following steps: acquiring an image sequence with tracer particles in a flow field by using a high-speed camera, and preprocessing particle images in the image sequence to reduce the influence of noise on particle detection; particles in the particle image are segmented by using an adaptive multi-order threshold segmentation method to obtain a connected domain, and sub-pixel center coordinates of the particles in the connected domain are calculated to generate a deformed image. According to the method, not only can the condition of sparse particles be processed, but also the condition of dense particles can be processed, the adaptability is relatively high, meanwhile, the conditions of large-scale change and sudden appearance and disappearance of the particles between adjacent frames can be effectively handled, and the robustness is relatively high.

The invention discloses a high-precision particle image velocity measurement method based on a self-adaptive regulation and control mechanism, and relates to the field of particle image velocity measurement, and the method specifically comprises the steps: 1, carrying out the preprocessing of an original image sequence through collecting a particle image, taking a key index as a feedback quantity, dynamically adjusting a collection parameter, and screening an effective frame; step 2, delay embedding is carried out on the pixel gray scale time sequence of the standardized effective frame to construct a matrix, a low-rank subspace is determined, coarse displacement is projected to the subspace to obtain an initial displacement field, a joint cost function is constructed to optimize the displacement field and window parameters, and the optimized displacement field is determined; and step 3, performing phase-space reconstruction on the optimized displacement time sequence to obtain a matrix, building VAE training, optimizing by taking reconstruction loss, KL divergence and total correlation as loss functions, screening a main mode, and outputting a final result. Through phase-space reconstruction and a variational auto-encoder mode unmixing method, main vibration and background disturbance as well as artifacts and random noise are distinguished; and the related peak quality is substantially improved.

The ultrasonic flow measurement method and device provided by the present disclosure include: installing a plurality of ultrasonic velocity measurement probes on the flow measurement cross-section of the flow measurement tank, each ultrasonic velocity measurement probe being used to measure the water flow velocity of a plurality of velocity measurement points in the ultrasonic wave propagation direction, the ultrasonic wave propagation directions of each ultrasonic velocity measurement probe being parallel to each other, coplanar, and obliquely intersecting with the water flow direction, and the velocity measurement points being evenly distributed on the entire flow measurement cross-section; when the flow measurement tank is full-flow, according to the number of velocity measurement points on the flow measurement cross-section, the measured water flow velocity along the ultrasonic wave propagation direction at each velocity measurement point, and the cross-sectional area of the flow passing through perpendicular to the water flow direction around the corresponding velocity measurement point, the flow rate measured by the flow measurement tank is obtained. The ultrasonic flow measurement method and device provided by the present disclosure can achieve accurate measurement of the flow rate under the conditions of full-flow, stable and smooth flow regime in the flow measurement tank.

An annulus monitoring-based kick / loss monitoring system, comprising: an annulus monitoring assembly (107), configured to monitor annulus monitoring information at a fixed depth within a drilling annulus, wherein the annulus monitoring information comprises an annulus fluid velocity measurement value and / or fluid composition information of an annulus fluid; and a controller (101), coupled with the annulus monitoring assembly and configured to: receive the annulus monitoring information and mud logging data; determine drilling conditions associated with kick / loss monitoring; select a corresponding kick / loss monitoring model on the basis of the drilling conditions; determine a theoretical annulus fluid velocity value at a specified depth on the basis of the kick / loss monitoring model; determine whether the annulus fluid velocity measurement value falls within a predetermined range of the theoretical annulus fluid velocity value; and in response to the annulus fluid velocity measurement value deviating beyond the predetermined range of the theoretical annulus fluid velocity value, determine the presence of a kick or loss.

The invention relates to the technical field of fluid mechanics measurement, solves the technical problems of obvious out-of-plane velocity error and poor adaptability to complex flow scenes when a linear displacement model is adopted to invert a three-dimensional velocity field in a traditional method, and particularly relates to an out-of-plane velocity measurement method for particle image velocity measurement. Comprising the following steps: constructing a nonlinear displacement model containing a second-order Hessian item based on a displacement relationship between an image plane and an object space; establishing a residual function and an optimization objective function; performing iterative optimization solution on the residual function by taking the optimization objective function as an objective to obtain object space displacement; and calculating a three-dimensional velocity field according to the object space displacement. According to the method, the non-linear displacement model containing the second-order Hessian item is constructed, the coupling effect of out-of-plane displacement and image distortion is accurately described, and in a scene with high out-of-plane speed or facing a strong shearing and vortex flow field, the stability of errors can be ensured, so that the calculation precision of the out-of-plane speed is remarkably improved.

The invention relates to the technical field of fluid dynamics experimental measurement, and discloses a water tank experimental device and method for muddy current transportation of micro-plastics, the device comprises a water tank device main body, an optical measurement subsystem and an ultrasonic Doppler flow velocity measurement system, an ultrasonic emission path and an optical measurement window are overlapped in space, and the optical measurement subsystem and the ultrasonic Doppler flow velocity measurement system are arranged in the water tank device main body. The method comprises the following steps: performing first fluorescence labeling and second fluorescence labeling on the micro-plastic particles and the sediment particles; synchronously acquiring optical data and acoustic data in the cross window; respectively establishing a concentration correction function and a flow velocity correction function by taking acoustic backscattering intensity data and flow velocity data as references in the cross window; applying the correction function to the whole optical window to obtain a globally corrected concentration field and a globally corrected flow velocity field; and distinguishing and quantifying the micro-plastics and the sediments based on the corrected data. Through the cross correction principle, the problem of signal distortion of optical measurement in high-turbidity fluid is solved.

The invention discloses a multiphase flow bubble tracking and speed measuring and calculating method based on improved YOLO11, and belongs to the technical field of multiphase flow bubble detection and tracking, and the method comprises the steps: obtaining a multiphase flow bubble image data set; dividing the multiphase flow bubble image data set into a training set and a verification set; yOLO11 is improved to obtain an improved YOLO11 network model, and a multiphase flow bubble segmentation model based on the improved YOLO11 is obtained; inputting the training set into the model for training to obtain an optimal segmentation model; and carrying out performance evaluation on the model by utilizing a verification set, and inputting the model into a multiphase flow bubble identification and speed measurement and calculation system based on a graphical user interface after the precision requirement is met, so as to carry out bubble segmentation, tracking and speed measurement and calculation on an actual image. According to the method, under the condition that the model parameter quantity and the calculation quantity are greatly reduced, the bubble segmentation effect with high operation precision and high speed can be achieved, and equipment deployment and application are more convenient.

The invention discloses a seal beard-imitated flow field measuring device and a seal beard-imitated flow field measuring method, and belongs to the technical field of flow field detection.The seal beard-imitated flow field measuring device comprises a base, a cross beam, a piezoresistive strain gauge, a seal beard imitated part and a guide wing, four beam bodies of the cross beam are respectively provided with the piezoresistive strain gauges, the seal beard bionic part forms a cylinder extending in the axial direction, the section of the seal beard bionic part is oval, the size of the seal beard bionic part changes periodically in the axial direction, the guide wing is installed on the seal beard bionic part, and the seal beard bionic part is connected with the guide wing. The bottom end of the seal beard bionic part is installed at the center position of the cross beam in an axial rotation mode and is perpendicular to the plane where the cross beam is located. Through the innovative design of simulating seal beards, the accuracy, the reliability and the adaptability of flow velocity measurement are remarkably improved, and the flow velocity sensor has the advantages of being outstanding in performance in low-speed water flow and complex water flow environments, small in size, light in weight, easy to integrate and the like.

The invention relates to the technical field of pipeline flow velocity measurement, and provides a non-contact pipeline fluid flow velocity measurement method based on a neural network model, and the method comprises the steps: collecting signal data sets at different pipeline flow velocities through a piezoelectric film sensor; performing two-dimensional Fourier transform on the signal data set, and converting the signal into a two-dimensional energy spectrogram of a frequency-wavenumber domain; the two-dimensional energy spectrogram predicts the flow velocity of the fluid through a two-dimensional neural network model. The collected signals are subjected to two-dimensional Fourier transform and converted into the two-dimensional energy spectrogram of the frequency-wavenumber domain, the signal processing capacity is effectively improved, more accurate and meaningful input data are provided for the two-dimensional neural network model, the two-dimensional neural network model is adopted for flow velocity prediction, the two-dimensional energy spectrogram serves as input, and the flow velocity prediction accuracy is improved. And features are automatically extracted and the flow velocity is predicted through a deep learning technology. According to the method, a traditional signal algorithm for processing the workpiece problem in the complex turbulence environment through the flow speed is overcome, and the measurement precision and robustness are improved.