73 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 agricultural production and unmanned aerial vehicle control, and provides an agricultural unmanned aerial vehicle material spreading performance detection system and an operation method thereof, and the system comprises an unmanned aerial vehicle platform which is used for controlling the motion and attitude of an unmanned aerial vehicle; the sampling platform is used for detecting the material spreading performance of the unmanned aerial vehicle according to the motion and attitude of the unmanned aerial vehicle to obtain material spreading performance parameters; the material spreading performance parameters comprise particle distribution uniformity, particle targeting force, particle groove entering angle, particle mass and microenvironment characteristic parameters of the spread material; and the control platform is used for collecting, analyzing and displaying the material spreading performance parameters in real time based on the operation of detection process control, dynamic wind field modeling and particle trajectory calculation, and generating a chart and an analysis report so as to evaluate the spreading performance of the agricultural unmanned aerial vehicle. According to the system, intelligent control over the operation process is achieved, and the material spreading performance detection efficiency and accuracy of the agricultural unmanned aerial vehicle are improved.

The invention provides a dynamic particle adaptive drawing method and system based on an autonomous controllable GPU. Optical fiber sensing arrays are deployed in a monitoring area in a distributed mode, and multi-frequency-band vibration waveform data of the dynamic particle flow under strong electromagnetic interference are collected. And in combination with a particle fluid mechanics constraint rule, generating an inter-node association topology of the dynamic particle knowledge graph. And through a federated learning framework, a plurality of GPU computing nodes cooperatively update the knowledge graph, and particle rendering resolutions are dynamically distributed according to the real-time variation of the topology. And finally, based on the vibration waveform data fluctuation interval fed back in real time, generating a GPU drawing control instruction, and triggering a GPU computing node to adaptively adjust the rendering granularity of the particle trajectory according to the priority of the energy transfer path. According to the technical scheme provided by the invention, efficient and accurate drawing of the dynamic particle flow in a strong electromagnetic interference environment can be realized, and the visualization effect of the particle flow in the mechanical cavity is improved.

The invention relates to the technical field of real-time monitoring, in particular to a real-time monitoring method and system for a particle medicine processing process, and the method comprises the following steps: setting a fixed time interval based on photoacoustic signal data in the particle medicine processing process, capturing photoacoustic signals of a particle medicine under the conditions of thermotropic photoacoustic excitation and pressure-induced photoacoustic excitation, and determining the photoacoustic signals of the particle medicine according to the photoacoustic signals; and recording the amplitude of the photoacoustic signal to obtain a photoacoustic signal feature data set. According to the method, continuous monitoring of the particle medicine forming process is achieved through photoacoustic signal capturing at a fixed time interval, and thermal-induced and pressure-induced photoacoustic excitation is combined, so that the signal collection coverage degree is improved, the photoacoustic holographic image contrast ratio is adjusted, the trace component recognition precision is improved, the peak offset rate is analyzed, and noise baseline fluctuation is compared; abnormal time points are accurately screened, the accuracy of interface change detection is improved, particle trajectory data are obtained in combination with high-frame-rate imaging, flow field disturbance distribution is analyzed, accurate control over the machining process is achieved, and stable particle quality is ensured.

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 relates to a method and device for calculating internal deformation of a gravel soil slope body through tracer particle tracks. The method comprises the following steps that tracer particles are pre-buried at preset observation points in a gravel soil slope rainfall instability model; determining the positions of leading-out points corresponding to the X axis, the Y axis and the Z axis of the tracer particles in the gravel soil slope rainfall instability model, and respectively recording the distance from the tracer particles to each leading-out point; enabling the gravel soil landslide model to generate seepage, and recording the change of the distance between each extraction point and the tracer particles generating displacement at fixed time intervals; and processing the recorded data through a data processing program, and solving the position of the tracer particle at each data recording time point according to a tracer particle position formula. According to the method, the extremely small tracer particles are put into the slope body of the gravel soil slope rainfall instability model, the accurate displacement in the slope body is obtained under the condition of almost zero influence, and the method has the advantages of simplicity, real-time performance, reliability and economical efficiency.

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 discloses a lunar mineral sorting device and method based on electron beam charging, and belongs to the field of lunar in-situ resource utilization. The sorting device comprises a lunar soil hopper, a lunar soil particle track guiding module, an electron beam module and a mineral collecting module. The lunar soil particles are guided out by the lunar soil hopper, the electron beam module emits electron beams to the lunar soil particles to charge the lunar soil particles, so that the lunar soil particles of different mineral types carry different electric charges, and the lunar soil particle track guiding module guides the lunar soil particles into different areas of the mineral collecting module according to the difference of the electric charges carried by the lunar soil particles to realize separation; the lunar soil particles are electrified by using electron beams, a large number of electrons directly act on the lunar soil particles, the quantity of electric charges obtained by the lunar soil particles is large, and the subsequent mineral separation process is easier to realize; the electron beam scanning area is large, the scanning frequency is high, the lunar soil treatment capacity is large, and large-scale application is facilitated.

The present invention belongs to the technical field of fire extinguishing devices, and relates to a method, a system, an electronic device and a storage medium for determining the flight parameters of a fire extinguishing bomb. The method for determining the flight parameters of a fire extinguishing bomb includes obtaining the target azimuth (α1, β1, h1) of a fire extinguishing task; determining the fire extinguishing task distance X according to the launch azimuth (α2, β2, h2) of a fire truck and the target azimuth (α1, β1, h1) of the fire extinguishing task; determining the particle ballistic equation of the fire extinguishing bomb based on the fire extinguishing task distance X and the coupling factors affecting the accuracy of the fire extinguishing bomb; determining the landing point of the flight trajectory of the initial scheme based on the particle ballistic equation of the fire extinguishing bomb; and determining the optimal input parameters of the flight trajectory of the fire extinguishing bomb based on the landing point of the flight trajectory of the initial scheme. The present invention takes into account the uncertainties of the fire extinguishing bomb system, state uncertainties, aerodynamic parameter uncertainties and fire extinguishing environment uncertainties, realizes the control of the flight trajectory of the fire extinguishing bomb, can accurately detonate the fire extinguishing bomb at the ignition point, thereby realizing accurate landing point fire extinguishing, improving the fire extinguishing accuracy, having strong practicability and being worthy of popularization.

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 invention belongs to the technical field of analysis and monitoring, and particularly relates to a simulation-based sodium aerosol detection equipment arrangement method, which is characterized in that based on hydrodynamic model selection and analogue simulation, multi-physical field analogue simulation is carried out aiming at the ventilation airflow velocity and direction of a to-be-monitored space environment and the flow direction of sodium aerosol; and determining the spatial change of the flow field in the environment and the particle diameter change and particle trajectory of the aerosol in the flow field. On the basis, the point location of the detection equipment in the space is arranged according to the analogue simulation result, a distributed strategy of the coverage area, range and leakage amount of the detection equipment is determined, the accuracy, timeliness and comprehensiveness of sodium leakage monitoring are improved, and safe operation of the sodium-cooled fast reactor is ensured.

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 invention discloses a calculation method for pollutant tracking particle coastwise streaming in a complex shoreline environment. The method comprises the following steps: firstly, on the basis of a hazardous chemical substance leakage model of a Lagrange particle tracing algorithm, introducing space judgment of a particle trajectory vector and a shoreline fragment vector; secondly, calculating a vector offset after the particles collide with the shoreline based on the particle prediction vector trajectory and the shoreline fragment vector; on the basis of the vector offset after the particles collide with the shoreline, continuously judging the particle trajectory and the shoreline fragment vector, and continuously calculating the vector offset of the particle trajectory until the particles do not collide with the shoreline; and finally, the final offset position after the particles collide with the shoreline is transmitted back to the hazardous chemical substance leakage model, and the model continues simulation prediction of the next time. According to the method, drifting and diffusion of dissolved-state or low-viscosity pollutant particles in the complex shoreline environment along the shore are achieved, and it can be avoided that a dangerous chemical leakage model forecasts false local high-concentration pollution groups in the complex shoreline environment.

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 present invention discloses a method and device for characterizing the inhomogeneity of a gel based on multi-field micro-rheology. The method includes: adding probe particles to a gel prepolymer solution, obtaining a sample after subjecting the gel prepolymer solution to gelation treatment; placing the sample on a micro-rheometer, and using a high-speed camera to capture videos of the thermal motion of particles in multiple fields of view under a fluorescence microscope; positioning the probe particles on the sample according to the videos of the thermal motion of the particles, connecting the probe particles to obtain a coordinate sequence of the particle trajectories in each field of view, and obtaining all the particle trajectory data after traversing the data of each field of view; calculating various observables based on the particle trajectory data to characterize the inhomogeneity of the gel. The present invention is based on multi-field micro-rheology technology, provides a new method for the research and characterization of inhomogeneity, and can accurately and completely characterize the change of gel inhomogeneity. The present invention can be widely applied to the field of micro-rheology characterization.

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 particle trajectory control device comprises a flow path device and a vibration device. The flow path device has a flow path in which a plurality of pillars are arranged. The vibration device is configured so as to be capable of applying vibration to the flow path device.