60 results about "Particle trajectory" patented technology

The invention discloses an oil mist particle trajectory control method and system in oil mist separation, and relates to the technical field of intelligent control, and the method comprises the steps: collecting the three-dimensional position and velocity vector of oil mist particles in real time, and carrying out the three-dimensional modeling of an oil mist trajectory; taking the deviation between the actually measured track and the ideal track as a training sample, inputting the training sample into a multi-layer perceptron, and outputting a current error vector and a compensation increment; constructing a multi-target evaluation function based on the compensated position target and the safe energy consumption factor; optimizing the control parameters by adopting a gray wolf optimization algorithm with improved congestion degree; and issuing the optimized parameters to an execution system to automatically adjust corresponding values. By means of the method, high-precision online control over oil mist particle movement is achieved; the separation efficiency and the energy consumption are effectively balanced; the system has self-adaptive closed-loop capacity, parameters can be quickly adjusted when working conditions change, and separation stability and equipment safety are guaranteed; manual intervention is reduced through automatic execution, and operation reliability and production efficiency are improved.

The invention discloses an urban particulate matter migration path identification method based on data fusion of a dynamic diffusion model and multi-source sensing. According to the method, firstly, multi-source pollution related data of a fixed monitoring station, a mobile monitoring device, a meteorological observation node and a traffic sensing system are collected, and standardized input is constructed after time synchronization, coordinate mapping and exception handling. And then establishing a hybrid dynamic diffusion model fusing a two-dimensional Gaussian plume model and a Lagrange particle tracking mechanism, and realizing assimilation of monitoring data and model output in combination with an improved particle filtering algorithm to obtain a correction concentration field. Based on concentration gradient analysis and particle trajectory superposition, a pollution migration path is extracted, then indexes such as a migration intensity index (MII), a path stability factor (PSF) and path average correlation are calculated, and recognition and sorting of a migration direction, a pollution source position and path stability are achieved. Meanwhile, an alpha dynamic weight factor is introduced, adaptive weighting is realized between the Gaussian model and the LPDM model, and the path strength and consistency are considered. Experimental results show that the method is superior to a traditional method in average absolute deviation (MAD) and hot spot overlap ratio (IoU) indexes, diffusion and migration rules of particulate matters under complex urban conditions can be more accurately revealed, and the method has important environmental governance and emergency management application value.

The invention relates to the technical field of trajectory measurement, discloses an underwater riprap particle motion trajectory measurement device and method, and aims to realize high-precision response tracking of stress and motion trajectory of riprap particles around a foundation under dynamic water scouring based on an underwater positioning unit sensing array and a high-frequency sampling particle motion and attitude detection technology. The technical problem that the motion characteristics of a single riprap particle cannot be observed in previous riprap protection research is solved. Through combined measurement of acceleration and angular velocity data collected by the inertial measurement unit and absolute position measured by the radio frequency unit, the three-dimensional motion condition, track and attitude process of a unit space as well as two-dimensional displacement images of a riprap surface and a vertical flow section are accurately reconstructed; and a centimeter-level-precision visual data support and a low-cost research means are provided for foundation scouring and coastal slope protection and riprap protection research, so that the engineering cost is saved.

The invention provides an agricultural pest diagnosis and early warning method and system based on an intelligent algorithm. The system comprises a spore collection and detection module, a credibility evaluation module, a wind field inversion and source region identification module, a incubation period modeling module, a risk judgment module, a control decision and scheduling module and an output interface module. The spore collection and detection module obtains a spore living body load value in real time through an air sampling and quantitative PCR detection technology; the credible evaluation module realizes pathogen effective trigger state recognition through multi-dimensional threshold judgment; the wind field inversion and source region identification module determines an upstream source region and a propagation path by using a particle trajectory inversion and clustering algorithm; the incubation period modeling module is used for calculating an incubation period and deducing a potential disease time window based on the environmental parameters and an Arrhenius model; quantitative modeling and intelligent early warning of the whole disease and pest propagation process are achieved, the timeliness and accuracy of prevention and control can be improved, and the prevention and control cost is reduced.

The invention discloses a self-adaptive air pressure regulation and control system of quartz sand unpowered powder selecting equipment, and relates to the technical field of automatic control. According to the method, wind pressure and airflow disturbance signals are collected, a high-resolution map is generated through Hampel filtering and noise reduction, features are extracted through the convolutional neural network, key influence areas are identified, the problem of unstable wind pressure caused by airflow disturbance in a mountainous area is solved, and the particle separation precision is improved; a natural potential energy distribution matrix is constructed based on building floor height difference, velocity field reconstruction and airflow channel optimization are driven, technological parameters are adjusted in combination with a gradient descent algorithm, precise utilization of natural potential energy is achieved, energy consumption is reduced, uneven efficiency is improved, airflow distribution is simulated through a fluid dynamic model, and sedimentation behaviors are analyzed and predicted through particle trajectory. A support vector machine is used for classifying tracks and generating regulation and control instructions, PID control is used for stabilizing air pressure to form a closed loop, the problems that fine powder is mixed with coarse powder, coarse particles are left and the like are avoided, the equipment blockage risk is reduced, and the product purity stability is improved.

The invention relates to the technical field of micro-fluidic chips, and discloses a multi-fluid effect synergistic three-dimensional single-row focusing micro-fluidic chip and a method for single-line focusing of polystyrene microspheres by using the micro-fluidic chip, the micro-fluidic chip comprises a sample liquid inlet, one end of the sample liquid inlet is provided with an inertia focusing link, and the other end of the sample liquid inlet is provided with an inertia focusing link; a tapered flow guide cone structure is arranged between the inertial focusing link and the sample liquid inlet and is used for inhibiting the initial dispersion and diffusion trend of particles at the sample liquid inlet; the bionic gradient height structure is positioned at one end, far away from the tapered flow guide cone structure, of the inertial focusing link and is used for focusing and compressing the particles in the vertical direction; a sheath fluid focusing area is arranged at one end, far away from the inertial focusing link, of the bionic gradient height structure, and a sheath fluid inlet and a chip mixed liquid outlet are sequentially formed in one end, far away from the bionic gradient height structure, of the sheath fluid focusing area. According to the invention, efficient three-dimensional centered arrangement is realized, dynamic convergence of a particle trajectory from a dispersion state to a central single beam is realized, and a digital focusing regulation capability is realized.

The invention relates to the technical field of marine environment simulation and risk assessment, in particular to a calculation method for simulating a blockage particle trajectory. The calculation method for simulating the particle trajectory of the blockages comprises the steps that a wave flow coupling model is constructed according to a grid file, and the grid file is constructed through a surface water simulation system; in a particle tracking module of the wave-flow coupling model, adjusting particle parameters of blockage particles according to the dynamic characteristics of the blockage; operating the particle tracking module to obtain simulated trajectory data of the blockage particles after particle parameter adjustment; and according to the simulated trajectory data, counting the number and probability of the blockage particles entering the predetermined range of the nuclear power station water intake so as to predict the blockage risk of the nuclear power station water intake. According to the calculation method, the drifting trajectory of the blockage object can be accurately simulated, the risk that the water intake is blocked is predicted, and a reliable quantitative basis is provided for water intake safety early warning and protection decision making of the nuclear power station.

The invention provides a particle track tracing and on-line imaging method in a chaotic flow field, which adopts a system comprising a stirring system consisting of a stirring paddle, a transparent stirring reaction kettle and a transparent solution, and a light source and a camera arranged around the transparent stirring reaction kettle, adding fluorescent particles into the transparent solution in the transparent stirring reaction kettle to serve as observed particles in a flow field; the fluorescent particles are small resin particles containing fluorescent powder. And starting a driving device of the stirring paddle to stir the transparent solution. And turning on a light source to irradiate the stirring system to be placed under a dark condition. Turning off the light source, and shooting the transparent stirring reaction kettle by using a camera; during shooting, the exposure time of the camera is prolonged, and the motion trail of the observed particles in the flow field is obtained.

This application discloses a particle trajectory reconstruction method, apparatus, device, and medium based on flow-sensing implicit neural representation, relating to the field of computer technology. The method includes: constructing a spatiotemporal position embedding network based on Eulerian flow field information of the flow field surrounding an aircraft, utilizing a multilayer perceptron and implicit neural representation model to capture the spatiotemporal distribution and motion patterns of particles in the flow field around the aircraft; constructing a multi-scale residual learning module using Taylor expansion to balance trajectory learning at different time scales; constructing an initial particle trajectory reconstruction model using the spatiotemporal position embedding network and the multi-scale residual learning module; training the initial particle trajectory reconstruction model using target constraints; generating a target motion trajectory using the obtained target particle trajectory reconstruction model and based on the position information and integration time of the target particle in the flow field; where the integration time is the length of the target particle's motion time in the flow field. This improves the efficiency of particle trajectory reconstruction in complex flow fields.

The present invention relates to a particle trajectory velocity measurement method based on multi-plane calibration and line-of-sight constraints, comprising the following steps: performing multi-plane calibration to obtain a camera calibration function relationship; calculating the three-dimensional line of sight corresponding to the image pixel coordinates of each camera-captured image; acquiring a particle image, calculating the three-dimensional line of sight corresponding to the particle pixel coordinates in the particle image, and performing particle matching and triangulation reconstruction on each particle in parallel to obtain the particle's preliminary three-dimensional spatial position; performing nearest neighbor matching on the preliminary three-dimensional spatial position of each particle in parallel, and performing line of sight interpolation and line of sight dithering to generate the particle's precise three-dimensional spatial position; constructing a four-dimensional particle trajectory based on the precise three-dimensional spatial position of each particle; calculating the particle's velocity vector and acceleration vector, and obtaining a three-dimensional flow field through interpolation. Compared with the prior art, the present invention can compensate for refractive interfaces, improve measurement accuracy, and enhance the computational efficiency of 4D PTV technology based on parallel processing.

The invention relates to the technical field of industrial dust removal equipment design and fluid simulation, and discloses a macroscopic numerical simulation and verification method for dust deposition uniformity of a metal filter bag deduster, which comprises the following steps: constructing a deduster full-size model loaded with a porous jumping medium boundary; establishing an Euler-Lagrange gas-solid coupling model to calculate a flow field and a particle trajectory; designing a diversion structure orthogonal experiment based on the flow field characteristics, and obtaining operation resistance and deposition mass data under different parameter combinations; establishing an evaluation system comprising a flow distribution coefficient and a deposition uniformity index, and screening an optimal structure; a physical experiment platform is constructed for powder coating and segmented scraping weighing, and the reliability of the method is verified by comparing relative errors of experiments and simulation data. According to the method, through macroscopic equivalent modeling and quantitative evaluation, the deposition behavior in the metal filter bag dust collector is accurately predicted, the problem of uneven load of the filter bag is effectively solved, and a reliable basis is provided for structural optimization.

The invention discloses a method for optimizing a lead-bismuth venturi flow meter with ferroferric oxide particle deposition intervened by a magnetic field. The method comprises the following optimization steps: constructing a parameterized three-dimensional geometric model of the venturi flow meter; performing grid division on the model in computational fluid dynamics (CFD) software, and setting a multiphase flow model and a discrete phase model; compiling UDF for dynamically applying a virtual magnetic field in the flow field area of the tapered fillet section in the CFD solving process; the UDF is loaded, the virtual magnetic field serves as a source item to be coupled to a control equation of the fluid and the particle phase, and the influence of the virtual magnetic field on the particle motion trail is simulated; obtaining and analyzing the motion trail of the particles and the particle deposition amount of the fillet transition structure; based on an analysis result, adjusting the next one or more optimization variables and iteratively executing the steps until the particle deposition amount meets a preset requirement; according to the method, a virtual magnetic field which can be flexibly regulated and controlled is introduced by embedding a user-defined function, and an efficient simulation tool and a theoretical basis are provided for collaborative optimization of a flowmeter structure and a deposition suppression strategy.

The present disclosure provides a particle special effect rendering method for simulating extreme working conditions in a virtual engine, comprising: obtaining fire scene parameters, and constructing a decoupled particle system architecture in the virtual engine according to the fire scene parameters to generate a particle initialization result. Determine the fire source area particle quota through the particle initialization result, and generate fire particles based on the fire source area particle quota to construct different types of initial particle states. Based on the different types of initial particle states, the dynamics trajectory of the fire particles is calculated, and the first particle state after updating the particle trajectory is determined according to the dynamics trajectory. Determine the interaction behavior between the fire particles and the scene material through the first particle state, and generate the second particle state after updating the particle behavior according to the interaction behavior. According to the second particle state, the particle rendering is carried out to generate a dynamic light and shadow fusion result, and a fire particle special effect frame is drawn according to the dynamic light and shadow fusion result, realizing the real-time rendering of the particle reality.

The invention provides a micro-plastic adsorption performance medical mask quality detection system based on artificial intelligence, relates to the field of quality detection, and improves the accuracy and efficiency of medical mask micro-plastic adsorption performance detection. The method comprises the following steps: firstly, extracting fiber pore distribution features, fiber directional arrangement features and fiber surface roughness features from a mask microscopic image by adopting a trained deep neural network; thirdly, constructing a virtual filter material structure model based on the extracted morphological characteristics, injecting simulated micro-plastic particles with different particle sizes, calculating the capture rate and the passing rate of the particles by adopting a particle trajectory tracking algorithm, and predicting the comprehensive micro-plastic adsorption efficiency; and finally, setting a dynamic efficiency threshold value according to an application scene to carry out quality judgment, and automatically identifying a morphological defect type when detecting that the performance is unqualified. Through combination of deep learning and a virtual simulation technology, the intelligent level and the defect diagnosis capability of medical mask micro-plastic adsorption performance detection are remarkably improved.

The invention discloses a Kerr black hole equatorial plane particle trajectory rapid prediction method and system. The method comprises the steps of S1, data construction and screening; s2, carrying out sequence standardization and pretreatment; s3, constructing a trajectory prediction model; s4, training a mixed physical constraint loss function; and S5, performing rapid reasoning and trajectory reconstruction. According to the method, complex Kerr space-time three-dimensional motion is simplified into two-dimensional motion of the equatorial plane, end-to-end mapping from an initial condition to a complete trajectory is realized by using deep learning, a time-consuming process of solving a geodesic equation is replaced by single forward propagation of a neural network, and the calculation efficiency is far higher than that of a traditional numerical integration method. According to the method, the robustness of the geometrical morphology of the track is ensured through the chamfering distance loss, and geometrical characteristics such as recent point precession angles can be accurately predicted; the common noise jitter of the neural network is eliminated by the smoothness loss, and the physical rationality of the trajectory is ensured.

The invention provides a particle effect rendering method for simulating an extreme working condition in a virtual engine, and the method comprises the steps: obtaining a fire scene parameter, and constructing a decoupling type particle system architecture in the virtual engine according to the fire scene parameter, so as to generate a particle initialization result. And determining the particle quota of the fire source region through the particle initialization result, and generating fire particles based on the particle quota of the fire source region to construct different types of initial particle states. And based on the different types of initial particle states, calculating a dynamic trajectory of the fire particles, and determining a first particle state after the particle trajectory is updated according to the dynamic trajectory. And determining an interaction behavior between the fire particles and the scene material through the first particle state, and generating a second particle state after the particle behavior is updated according to the interaction behavior. And performing particle rendering according to the second particle state to generate a dynamic light and shadow fusion result, and drawing a fire particle special effect frame according to the dynamic light and shadow fusion result to realize particle authenticity and real-time rendering.

The application provides a kind of agricultural disease and insect pest diagnosis early warning method and system based on intelligent algorithm, system includes: spore collection and detection module, credible evaluation module, wind field inversion and source area identification module, incubation period modeling module, risk determination module, prevention and control decision and scheduling module and output interface module.Said spore collection and detection module obtains spore living body load value in real time by air sampling and quantitative PCR detection technology;The credible evaluation module realizes the effective triggering state identification of pathogen by multidimensional threshold determination;Wind field inversion and source area identification module determines upstream source area and propagation path using particle trajectory inversion and clustering algorithm;Incubation period modeling module calculates incubation period based on environmental parameters and Arrhenius type model and deduces potential disease time window;The application realizes the quantitative modeling and intelligent early warning of the whole process of disease and insect pest transmission, can improve the timeliness and accuracy of prevention and control, and reduce the prevention and control cost.

The application discloses a kind of water pump flow field measurement method and velocity measuring particle based on inertial guidance, it is related to water pump flow field measurement technical field.The method comprises: assembling and calibrating the velocity measuring particle of built-in IMU, releasing at water pump entrance, so that it enters water pump interior and records acceleration data itself, recycles particle at water pump in outlet, reads IMU data in particle, reconstructs particle motion track by zero offset calibration, attitude solution, gravity elimination, integral positioning, zero speed correction and other steps, reconstructs global velocity field using the trajectory of multiple particles by RBF interpolation, and then calculates flow, traces streamline and generates velocity nephogram.The application does not need to reconstruct the structure of water pump, is not limited by flow pattern and pipeline transparency, can simultaneously output high-precision flow and full flow field visualization result, provides a kind of new technical means for water pump operation monitoring and optimization design.

The present disclosure relates to a particle trajectory simulation method and electronic device, and relates to the technical field of pollutant trajectory simulation. The method includes: determining the rebound position of the particle after colliding with the shoreline when the particle's first trajectory intersects the shoreline; obtaining the target position reached by the particle after moving along the shoreline based on the rebound position; and obtaining a corrected second trajectory of the particle based on the particle's starting position and the target position; the starting position is the starting point of the first trajectory. Using the particle trajectory simulation method proposed in the present disclosure, a more accurate particle trajectory can be obtained.

The application provides a trajectory tracking model training method and a hydrous particle trajectory tracking method. The method comprises: obtaining training data, the training data comprising simulation information of at least one hydrous particle in at least one preset time period, the simulation information comprising at least three-dimensional environmental wind information of an environment in which the at least one hydrous particle is located in the at least one preset time period and a terminal falling speed of the at least one hydrous particle in the at least one preset time period; and training an initial trajectory tracking model based on the training data to obtain the trajectory tracking model, the trajectory tracking model being used to calculate motion trajectory information of the hydrous particle according to the simulation information of the hydrous particle. The method of the application can solve the problem of how to track the trajectory of a hydrous particle group, thereby improving the comprehensiveness and accuracy of gas phase observation.

This embodiment discloses an image processing method, apparatus, electronic device, and computer storage medium. The method includes: acquiring a video stream with particle effects acquired by an image acquisition device; extracting the background of a first target frame image and the background of a second target frame image; extracting feature points in the background of the first target frame image and feature points in the background of the second target frame image; determining motion information of the image acquisition device between the acquisition time of the first target frame image and the acquisition time of the second target frame image based on the positional relationship between the matching feature points in the background of the first target frame image and the background of the second target frame image; and determining the particle trajectory between the first target frame image and the second target frame image based on the motion information.

A super-resolution ultrasonic blood flow imaging method fusing particle trajectory prediction and motion compensation comprises the following steps: injecting a microbubble contrast agent into a living body to obtain a microbubble distribution image; arranging all the microbubble distribution images according to a time sequence, and obtaining a blood flow distribution diagram through a particle trajectory prediction method; further eliminating a wrong track through speed difference constraint; and eliminating the influence of the micro motion of the background organization on the track result through a dynamic compensation method. The method has the advantages that the imaging resolution is obviously improved, and the movement interference of tissues and organs can be effectively reduced. According to the method, historical data and velocity vector information of the microbubbles are combined, the future positions of the microbubbles are predicted by using a Kalman filter, and matched microbubbles are searched nearby the future positions, so that the trajectory matching accuracy is improved, and the imaging resolution is improved. Meanwhile, cross-correlation search based on dynamic programming is adopted, wrong trajectories caused by tissue movement are extracted and eliminated, the definition of the microvascular morphology is further optimized, the signal-to-noise ratio of the image is remarkably improved, and the method is suitable for imaging of moving organs.

The present application provides a kind of viscoelastic microfluidic nanoparticle sorting modeling method and system, including straight channel section particle trajectory prediction model and amplification section particle trajectory analysis method, the internal connection between sample liquid flow, sheath liquid flow and sheath liquid polyethylene oxide concentration and the inertial lift force, elastic force, viscous drag and virtual mass force that nanoparticle suffers is constructed by mathematical model, the motion law of nanoparticle in straight channel section is revealed based on kinetic equation, the lateral displacement of nanoparticle when reaching the end position of straight channel section is solved, the lateral equilibrium position of nanoparticle at the end of straight channel section is combined with the flow field simulation result in amplification section, and the motion trajectory of particle in amplification section can be obtained, and then the mechanism of viscoelastic microfluidic nanoparticle sorting is comprehensively revealed.

The present invention discloses a method for calculating the coastal flow of pollutant tracking particles in a complex shoreline environment. First, based on the hazardous chemical leakage model of the Lagrangian particle tracing algorithm, the present invention introduces the spatial judgment of the particle trajectory vector and the shoreline segment vector; secondly, based on the particle prediction vector trajectory and the shoreline segment vector, the vector offset of the particle after colliding with the shoreline is calculated; then, based on the vector offset after the particle collides with the shoreline, the spatial judgment of the particle trajectory and the shoreline segment vector is continued to be judged, and the vector offset of the particle trajectory is continuously calculated until the particle no longer collides with the shoreline; finally, the final offset position of the particle after colliding with the shoreline is transmitted back to the hazardous chemical leakage model, and the model continues the simulation prediction at the next time. The present invention realizes the drift and diffusion of dissolved or low-viscosity pollutant particles along the shoreline in a complex shoreline environment, which can avoid the hazardous chemical leakage model from predicting false local high-concentration pollution clusters in a complex shoreline environment.

The invention discloses a spatial flow field display method and system based on a three-dimensional engine particle system, and belongs to the field of spatial flow field display, and the method comprises the steps: obtaining original flow field data from a turboshaft engine test bed, carrying out the preprocessing and standardization, constructing a database capable of being efficiently read by a three-dimensional engine, and carrying out the three-dimensional scene construction stage, polygonal simplification and topological optimization are carried out on a physical model in a flow field, it is ensured that an engine can keep high-performance operation while the visual effect is ensured, a set of space coordinate-particle trajectory-particle dynamic binding mapping mechanism is established, and the dynamic binding of particles is realized. The abstract flow field data can accurately drive the motion trail of each particle in the particle system, and accurate correspondence between the data and the visual effect is achieved. According to the method, the script is updated through the frame, the particle system can respond to data changes in the database in real time, the motion state is dynamically adjusted, the instantaneous characteristics of the flow field are vividly displayed, and a powerful and convenient interactive tool is provided for flow field analysis.

The present invention discloses a method and system for determining dynamic hyperuniformity. The method comprises: S1, using high-speed video to capture the trajectory of tracer particles in a reactor, and obtaining the two-dimensional image coordinates of the tracer particle trajectory based on a visual tracking algorithm; S2, extracting two sets of two-dimensional image coordinates of the same tracer particle trajectory obtained by two high-speed cameras, performing three-dimensional reconstruction on the two sets of two-dimensional image coordinates, and then performing coordinate normalization processing; S3, using the tracer particle trajectory and the normalized three-dimensional coordinates to determine the mixing uniformity of the mixing system using a dynamic hyperuniformity method. The present invention helps improve the uniformity of the mixing process of the mixing system in industrial production, enhance the mixing effect and mass transfer efficiency of the reactor, optimize the production process, reduce production costs, and improve product quality.

This invention discloses a rapid prediction method for insulator surface flashover voltage considering microscopic surface collisions, achieving a balance between computational efficiency and microscopic physical accuracy. The method innovatively maps the macroscopic roughness of the insulator to the collision restitution coefficient (characterizing kinetic energy dissipation), local electric field enhancement factor (characterizing microscopic distortion), and diffuse reflection distribution model of microscopic particles. Under electric field driving, particle trajectories are iteratively calculated, and velocity reduction and local field strength correction are performed based on the aforementioned dual competition mechanism when particles collide with the interface. Finally, the effective ionization coefficient is integrated in the time domain with velocity weight along the microscopic trajectory, and the flashover voltage is iteratively output by comparing it with the streamer critical criterion. This method, by introducing a particle tracking mechanism, maps macroscopic surface roughness to microscopic collision restitution coefficients and diffuse reflection distribution, and proposes a time-domain integration model, achieving efficient and accurate prediction of flashover voltage.

Dry development models of a dry development process predict patterning outcomes for EUV resist patterning. A static threshold model identifies a threshold value of cross-linked states in an EUV resist that represents a completion point for a dry development process based on experimental data. The static threshold model determines a location in the EUV resist that meets the threshold value. A transient particle tracing model provides a semi-empirical kinetic Monte Carlo framework to predict patterning metrics for a dry development process. A developer particle is identified with a certain particle trajectory, and a photoresist unit is identified that the developer particle interacts with. The reaction probability for removing the photoresist unit is based on a dry development mechanism and rate determined from experimental data. The EUV resist profile is updated and the transient particle tracing model monitors EUV resist profile and roughness changes over time.

The present invention relates to a particle trajectory tracking method based on a Retina algorithm and FPGA hardware acceleration. The method comprises the following steps: obtaining sample information by detecting with a detector and inputting the sample information into an FPGA, dividing a two-dimensional space into various spatial units according to a set granularity, and constructing a retinal cell calculation array on the FPGA using the spatial units as cell units in a retina algorithm; sequentially calculating similarity weights between various coordinate position information of particles and various cell units, and summing the similarity weights to obtain a similarity weight value for the cell unit; finding the cell unit with the maximum similarity weight value and its corresponding reconstruction parameter based on comparison using a comparator module; and outputting the reconstructed particle trajectory to a PC or other terminal via a firmware algorithm result output transmission module. The method can realize fast and real-time trajectory tracking and parameter reconstruction of the coordinate position information data of a linear particle trajectory.

The invention discloses a tracer particle adaptive clustering algorithm based on an event camera and a velocity measurement system, and belongs to the field of experimental fluid mechanics flow field velocity measurement. According to the algorithm, continuous laser is used for irradiating flow field tracer particles, and an event camera is used for collecting asynchronous event flows generated by particle movement to obtain event point clouds; particle trajectory reconstruction and velocity field estimation are realized through the steps of statistical filtering, preliminary clustering and velocity fitting, displacement correction, secondary clustering, iterative convergence, velocity field fitting and the like. Microsecond-level time resolution of the event camera is fully utilized, high-frequency laser is replaced by continuous laser, cost is reduced, boundary layer measurement interference is avoided, the problems of time resolution waste and high cost in the prior art are solved, and the method is suitable for experimental fluid mechanics flow field particle tracking speed measurement scenes.