528 results about "Particle flow" patented technology

The invention relates to the technical field of energy efficiency management, in particular to a water conservancy sensing system based on edge computing. The system comprises the following modules: a riverway edge sensing module, a water conservancy characteristic analysis module, a sediment migration simulation module and a deposition scouring early warning module. Constructing a river channel water conservancy sensing network; performing real-time water conservancy monitoring data acquisition according to the river channel water conservancy sensing network to obtain river channel water conservancy sensing data; performing three-dimensional flow field model processing on the river channel water conservancy sensing data to obtain a three-dimensional sediment flow field network model; carrying out particle flow field simulation on the three-dimensional sediment flow field network model to generate sediment migration space-time distribution data; and according to the sediment migration space-time distribution data, carrying out siltation and scour area identification, and uploading the siltation and scour area data to a cloud platform through an edge computing node to carry out abnormal event alarm so as to obtain river section monitoring data. According to the invention, real-time, accurate and intelligent monitoring and early warning of the sediment deposition and scouring process of the river channel are realized.

The invention provides a smoothed particle fluid dynamics simulation wave impact structure boundary force processing method, which comprises the following steps: S1, initializing the speed, density and position of particles by establishing a numerical model; s2, dividing fluid particles and boundary particles; s3, calculating and correcting the density and speed variation of the particles according to the hydrodynamic equation and the boundary rejection effect; s4, calculating the pressure and the speed of boundary particles through a Schelerd interpolation method, and reflecting the interaction between the fluid and the solid; s5, based on the pressure and the position of the boundary particles, calculating the pressure intensity, obtaining the stress and the torque of the structure, and updating the degree of freedom; and S6, updating the particle state and entering the solution of the next time step. According to the method, when the influence of the boundary force is determined, the influence of the relative speed of fluid particles and wall surface particles is considered, meanwhile, the maximum speed in a flow field is approximately replaced by the artificial sound velocity, and the purposes of accurately simulating the interaction process of the ocean wave-ocean engineering structure and ensuring the stability of numerical simulation calculation are achieved.

The invention discloses an accelerator parameter optimization allocation method based on digital twinning, which relates to the technical field of accelerators, and comprises the following steps: installing at least one beam position detector with a strip-shaped structure along a linear accelerator, and measuring the orbit change of a particle beam along the accelerator; describing the motion state of the particles in a two-dimensional phase space by adopting a two-dimensional vector; analyzing an element off-axis of the linear accelerator and a beam off-axis caused by a stray magnetic field; calculating the amplitude and phase change caused by the cavity coupler on the transverse plane; judging whether the position of the output particle flow exceeds a preset threshold range or not; using a one-to-one correction method to optimize the syndrome to reduce the beam off-axis at the beam position detector with the maximum beam off-axis change; sequentially optimizing all correctors at the upstream by using an overall orbit correction method; the particle beams coming out of the accelerating tube are transmitted along a direction close to the central axis. The orbit of the beam in the accelerator is strictly controlled by optimizing the parameters of the corrector in the accelerator.

The invention discloses a radiator micro-channel structure integrity detection method based on acoustic measurement, and relates to the technical field of information, the method couples acoustic propagation measurement with density inversion and particle transport observation, firstly screens a key observation object according to density gradient change, and then constructs a hydrodynamic equilibrium graph by using auxiliary particle flow, and finally obtains the structural integrity of the radiator micro-channel. And channel-by-channel difference is carried out with reflection measurement of standard acquired data, so that defects are indicated by three domains of energy, time and space together. According to the closed-loop link, the sensitivity to tiny blockage, slight deformation and early crosstalk is remarkably improved, the false alarm rate that single measurement is easily influenced by noise and working condition fluctuation is reduced, fine positioning of channel-level abnormal positions and ranges is achieved, and the closed-loop link is suitable for high-resolution detection of dense micro-channel arrays without disassembly or destructive operation.

The invention relates to the field of multiphase flow numerical simulation, and discloses a multi-scale particle flow calculation method which comprises the following steps: acquiring position coordinates, speed and volume of particles in a current time step; positioning a grid where the particles are located by combining grid distribution in Fluent software, and obtaining a volume value of the grid to calculate a grid particle size ratio at the current moment; calculating grid porosity and background flow field information by adopting different methods according to whether the grid particle size ratio is greater than 3; the porosity, the background flow field information, the particle speed and the particle volume are substituted into a drag force model for calculation, and drag force borne by the particles is obtained; inputting the drag force into EDEM software to iteratively calculate the motion of the particles to obtain the motion state of the particles in the next time step; and adding the negative value of the drag force into a momentum equation of Fluent software in a source item form to iteratively calculate the motion of the fluid to obtain the speed and pressure information of all grids in the next time step. And accurate numerical simulation of the multi-scale particles is realized.

The invention relates to the technical field of plasma surface particle flow detection, and discloses a plasma surface particle flow detection probe, which comprises a base, the base is provided with a first mounting hole penetrating from the top surface to the bottom surface, the base is internally provided with a first cooling cavity, the first cooling cavity is used for introducing a cooling medium, and the first cooling cavity is communicated with the first mounting hole; the insulating sleeve is inserted into the first mounting hole; the probe column is inserted into the insulating sleeve, one end of the probe column is provided with a probe head used for being in contact with plasma, and the probe column is connected with a wire. According to the plasma surface particle flow detection probe provided by the invention, heat flow deposited in the probe can be quickly removed, the service life is prolonged, and detection can be carried out for a longer time.

The invention discloses an optical fiber soil body coupling performance simulation method based on discrete elements, which comprises the following steps: step 1, determining size parameters of a test box, the diameter of an optical fiber, the minimum radius and the maximum radius of soil particles, and macromechanical parameters of a test soil body, the size parameters of the test box including length, width and height, and the diameter of the optical fiber; the macromechanical parameters of the test soil body comprise density, cohesion and friction angle; 2, simulating through a two-dimensional particle flow direct shear test to obtain material mesoscopic parameters of the test soil body; 3, generating a three-dimensional drawing discrete element model; and 4, pulling the optical fiber, and observing the force-displacement of the optical fiber in the drawing process, the deformation information of the sample soil body and the cementing failure state of the test soil body. According to the optical fiber soil coupling performance simulation method based on the discrete elements, the problem that an existing continuous medium analysis method is not suitable for discontinuous media is solved.

The invention discloses a method, a device, equipment and a medium for simulating migration of a proppant, and relates to the technical field of analogue simulation. Simulation is carried out through fluid dynamics and a discrete element analysis model, specifically, fluid parameters are obtained, a calculation model is constructed, and constraints are set; parameters are input for fluid and particle stress analysis, and particle displacement and grid updating are calculated; contact is judged through the particle collision sequence, boundary force is calculated, and the particle motion state is updated; and cyclically feeding back the flow field parameters to particle stress analysis until the number of iterations is met so as to obtain the void ratio, the flow velocity, the position and the momentum of the particles. According to the invention, the motion among particles can be captured and accurately calculated in a high-concentration particle flow or particle dominated collision system.

The invention belongs to the technical field of mechanical part surface finishing machining, and aims to solve the problem that traditional barreling finishing machining is difficult to meet the requirements for high precision and uniformity of a large wind power gear ring. The vertical local forced excitation polishing and grinding method for the large wind power gear ring comprises the following steps that a to-be-polished and ground section of the to-be-polished and ground large gear ring is placed in a polishing and grinding container filled with a machining medium; and a vibration excitation element in the machining medium is driven to perform combined motion of radial intermittent feeding motion, axial intermittent feeding motion and reciprocating linear motion, and is matched with circumferential intermittent rotary motion of the large gear ring, so that a locally forced particle flow field is formed in the machining medium, and gear surface finishing machining is performed on the large gear ring to be polished and ground. According to the large gear ring polishing and grinding device, intense exciting force can be applied to a certain specific tooth surface part of a large gear ring in a targeted mode, local polishing and grinding are conducted in a centralized mode, consistent polishing and grinding of different parts of the tooth surface of the large gear ring can be achieved in an all-around mode at a time, and the surface roughness of the large gear ring can be reduced.

The invention relates to a deep stratum well hole and cave mining system and method, the system comprises a traffic well hole system, the traffic well hole system is provided with at least one well hole smaller than 1 m, an internal channel formed by the well hole is communicated with a cave formed by excavation, and the internal channel formed by the well hole is configured to be a flow-back channel and / or an injection channel; the well hole and cave mining device is provided with a crushing assembly and / or a cleaning and transporting assembly, the crushing assembly is used for carrying out form-controllable mining on the ore on the cave rock wall surface, and the cleaning and transporting assembly is used for cleaning ore particles in the cave or transporting the ore particles to the flowback channel; and the particle flow lifting system is used for lifting the extracted ore particles out of the well through the flow-back channel. The technical problems that when caves of deep stratums are mined, the supporting effect is poor, and the ore particle clearing and transporting efficiency is low are solved, and large-scale and high-efficiency mining operation can be conducted on the deep stratums or non-hard stratums.

The invention relates to the technical field of coast and offshore engineering model tests, in particular to a water tank PIV particle sowing device. Wherein a flow channel is arranged in the water tank, the support is arranged in the water tank in a sliding mode, the first baffles are evenly arranged at intervals, one ends of the first baffles are rotationally connected to the support, the other ends of the first baffles abut against the bottom of the water tank, and the throwing pipes correspond to the first baffles one to one. A plurality of outlets are formed in the first baffle at intervals in the vertical direction, the throwing pipe communicates with the outlets and is used for throwing tracer particles, and the flow velocity measuring mechanism is arranged on the downstream of the rectifying mechanism. By arranging the first baffles and adjusting the angles of the first baffles, water flow can be smooth, and the stability of the water flow is improved; the throwing pipe is communicated with the vertically distributed outlets, so that the particles can be uniformly diffused in the water body along the vertical direction, and the uniformity and the concentration stability of the particles after throwing are improved.

The invention discloses a landslide particle flow and live-action three-dimensional geographical environment analysis method and device, a medium and a product, and relates to the field of geological landslide simulation, and the method comprises the steps: determining a sliding body and a sliding bed region based on digital elevation model data before and after a landslide; establishing a three-dimensional landslide model by adopting a three-dimensional particle flow discrete element PFC3D based on the digital elevation model data before and after the landslide and the sliding mass and sliding bed areas; performing landslide particle motion simulation based on the three-dimensional landslide model; acquiring remote sensing images before and after the landslide; constructing a three-dimensional terrain scene based on a live-action three-dimensional technology according to the remote sensing data and the digital elevation model data of the corresponding period; obtaining and updating particle data according to the landslide particle motion simulation result; performing fusion rendering on the particle data and the three-dimensional terrain scene to obtain a simulation result of superposition of landslide simulation and the three-dimensional scene; the complete process of landslide occurrence can be visually displayed, and damage analysis can be accurately carried out on the landslide.

The invention discloses an operation state evaluation method and system for the deep peak regulation process of a fluidized bed unit, and relates to the technical field of fluidized beds, and the method comprises the steps: collecting the combustion condition data of the deep peak regulation process of the fluidized bed unit; generating a particle flow velocity vector diagram, and identifying and marking different flow modes and paths in the particle flow velocity vector diagram; generating a non-uniform index of the whole flow field through particle flow velocity and particle concentration distribution of each flow mode area in the flow field; generating a bed temperature distribution diagram, recognizing a high temperature-flow mode region by combining with the particle flow velocity vector diagram, and calculating a coking risk index of the high temperature-flow mode region; and calculating a coking risk index of the whole flow field, comparing the coking risk index of the whole flow field with a risk threshold value, and when the coking risk index of the whole flow field is greater than or equal to the risk threshold value, giving out an early warning, identifying potential risks, and avoiding serious problems such as coking.

The invention relates to the field of multiphase numerical simulation, and discloses a large-scale particle flow numerical calculation method based on multi-ball filling, and the method comprises the steps: obtaining a fluid domain grid size, a fluid density and a large particle radius; calculating the radius of the small filling ball according to the size of the fluid domain grid; based on golden angle spiral distribution and minimum distance coverage judgment, determining the number and the positions of small filling balls, and generating a large particle model of multi-ball filling; obtaining the background flow field speed of the large particles and the filling small balls in the current time step, and calculating the background flow field speed and drag force of the large particles; updating through iterative calculation to obtain the speed and the position of the large particles and the small filling balls in the next time step; and adding drag force as a source item into a momentum equation to solve fluid motion, and obtaining a fluid computational domain grid speed in the next time step. Accurate numerical simulation of large-scale particles is realized.

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 present invention proposes a sputtering cleaning system and cleaning method for the inner wall of the ionization chamber of a radio frequency ion thruster. The system is composed of a gas distributor, a potential control line, a radio frequency coil, an ionization chamber, a screen grid, an acceleration grid, a positive DC voltage source, a radio frequency power supply, a negative DC voltage source and a conductive tape. The method includes: 1. The radio frequency ion thruster is started, and plasma is formed in the ionization chamber; 2. A positive voltage is applied to the screen grid, and ions are drawn out by the grid system, and the thruster enters a working state; 3. When the conductive film is thicker and the power input is weakened, the positive DC power supply is turned off, and no ions are drawn out of the thruster; 4. The negative DC power supply is turned on, and a negative voltage is slowly applied to the potential control line to increase the energy of ions hitting the inner wall of the ionization chamber; 5. The conductive film on the inner wall of the ionization chamber is bombarded by ions, and particles are sputtered out. The particles are neutral and are discharged from the ionization chamber under the action of the neutral particle flow, thereby achieving cleaning of the inner wall of the ionization chamber.

The invention relates to the technical field of high-pressure precise physical experiments, in particular to an irradiation sample table. A to-be-tested sample is placed on the sample table, and the second gland and the first gland are detachably connected to the sample table in sequence, so that the holes in the first gland and the second gland correspond to the to-be-tested sample. The size of the hole is smaller than the diameter of the to-be-detected sample, so that the radiation area is smaller than the diameter of the to-be-detected sample; moreover, the second gland is a ceramic gland and has good insulation performance, so that the situation that plasma directly bombards a sample table to generate an edge effect during irradiation, and adverse effects on judgment and separation of real particle flow density distribution borne by the surface of the to-be-detected sample are generated can be avoided. When samples of different sizes need to be replaced, only the first gland and the second gland which are provided with the open holes matched with the samples in size need to be replaced, operation is easy and fast, cost is low, and the experiment continuity and efficiency cannot be affected.

The invention is suitable for the field of rock-soil mechanics engineering, and provides a rock-soil mechanics characterization method based on particle flow discrete element numerical simulation and a controller, the method comprises the following steps: obtaining and analyzing a compressive stress-strain curve of rock-soil under different confining pressures on a macroscale by using a rock-soil triaxial compression test indoors, and calculating the compressive stress-strain curve of the rock-soil under different confining pressures; the method comprises the following steps: determining a nonlinear dynamic mapping relation of rock-soil elasticity modulus along with the change of spherical stress, and establishing a three-dimensional particle flow discrete element numerical model on a microscopic scale based on the nonlinear dynamic mapping relation; and performing secondary development on the numerical model on the basis of a PB contact model to obtain a VSPB contact model which actively becomes rigid according to the stress environment, optimizing values of contact parameters on the basis of the VSPB contact model, and determining a final compressive stress-strain curve of the rock soil by utilizing a triaxial numerical test. According to the method, the problem that the technical path has obvious non-strictness and uncertainty when the parameters calibrated based on the uniaxial compression test are directly applied to triaxial compression numerical simulation can be solved.

The invention belongs to a part surface treatment technology, and relates to a multi-runner blade inner cavity and air film hole abrasive particle flow polishing and grinding device and a using method. The device is composed of an upper hydraulic material grinding bin, a lower hydraulic material grinding bin and a blade workbench of abrasive particle flow equipment. The blade workbench can prevent pressure loss caused by abrasive leakage in abrasive flow polishing and grinding and meanwhile avoid flow offset caused by simultaneous entering of the abrasive at the communicating positions of inner cavity flow channels of a multi-flow-channel blade, so that all the flow channels of the blade have a good polishing and grinding effect. The defects that the inner cavity of the power turbine blade interferes with the air film hole wall structure, and the surface strengthening mode is unreachable are overcome, the grinding materials are made to move repeatedly in the inner cavity of the blade through repeated pressurization of the hydraulic cylinder, and the uniform strengthening effect is achieved at the inner cavity of the blade and the inner and outer hole openings of the air film hole. According to the method, only a small amount of grinding materials are consumed and are far less than vibration finishing grinding materials, the machining cost is lower, the dust amount is smaller, and noise is lower. According to the device, the inner cavity of the whole guide vane is strengthened within 20 min through abrasive flow, and the surface strengthening machining efficiency is high.

In one embodiment, an electronic system comprises a display device to display data and processing logic coupled to the display device. The processing logic is configured to determine a duty cycle of at least one sensor for sensing flow of a product or particle through a product or particle line of an agricultural implement and to determine an amount of product or particles flowing through a line of the agricultural implement based on the duty cycle of the at least one sensor.

The invention provides a flow field velocity measurement device and velocity measurement method for a rotor channel of turbomachinery, and relates to the technical field of fluid mechanics, the flow field velocity measurement device comprises a laser suitable for generating first line laser; a tracer particle flow field is formed in the cartridge receiver, and a rotatable rotor is arranged in the tracer particle flow field; the transparent window is arranged on the window of the casing; the sheet light source forming assembly is suitable for reflecting the first line laser to the interior of the cartridge receiver and forming a plurality of sheet light sources capable of moving in the radial direction of the rotor; the camera assembly is suitable for shooting tracer particles in the tracer particle flow field through the transparent window based on a plurality of sheet light sources at different radial positions to obtain multiple frames of particle images corresponding to different radial positions; and the processor is suitable for obtaining the flow field speed of the rotor channel based on the multi-frame particle image.

The invention provides a pumped storage power station seepage optimization method and system based on water level fluctuation data. The method comprises the following steps: firstly, based on a satellite geographic map and water depth data, constructing an upper reservoir three-dimensional structure model; then arranging water body particles in the model, and forming seepage holes according to the permeability coefficient to form a seepage field simulation model; then, through seepage simulation at different water levels, water particle flow characteristics of the surface edge of the reservoir are extracted; further comparing the simulation characteristics with the actual water flow characteristics, evaluating the credibility of the model according to the goodness of fit, and optimizing the model if the credibility does not reach the standard; and finally, performing seepage early warning analysis by using the optimization model. Through precise three-dimensional modeling, dynamic seepage simulation and feature matching verification, the accuracy of seepage prediction is improved, and a scientific basis is provided for safe operation of a power station.

The invention discloses a numerical simulation method, device and equipment for ice rock collapse starting and a medium, relates to the technical field of fluid motion simulation, and provides an FDEM-SPH coupling framework. Through a CIE unit in the FDEM method, crack propagation and fracture processes in rock masses are accurately simulated, and after the CIE unit is completely fractured, the FDEM method simultaneously simulates various contact forms between two separated finite units, so that mutual movement and interaction between fractured rock masses can be accurately described; ice and snow melting and movement in the ice-water phase change process are simulated through the smoothed particle flow SPH, and meanwhile, the interaction between ice-water phase change and rock mass fracture movement can be quantified by calculating the contact force between virtual particles in the smoothed particle flow SPH and the surface of a finite element in the finite discrete element method FDEM; the interaction reflects the erosion and impact of the ice-water phase change on the rock mass in the whole process and the actual physical condition in the ice rock collapse starting process, so that the ice rock collapse change more fitting the real condition is described.

The invention discloses a pneumatic conveying system straight pipe auxiliary air inlet adding analysis method and device, and belongs to the technical field of pneumatic conveying, and the method comprises the following steps: simulating particle flow in a pulverized coal conveying pipe through simulation software in combination with an Ergun resistance model, and obtaining basic data; determining a pulverized coal initial deposition point according to the data, adding a first auxiliary air inlet, then adjusting the air inlet speed at a fixed included angle, changing the air inlet angle at a fixed speed, and recording the backward moving range of the initial deposition point; then single-dimension experiments are carried out to research the influence of all parameters on pressure drop, response surface optimization analysis is applied to construct a power consumption coefficient formula and optimize experiment results, and finally an auxiliary air inlet adding scheme is obtained through rounding processing. By optimizing auxiliary air inlet parameters, pulverized coal deposition can be reduced, pressure drop and power consumption of a conveying pipe are reduced, the performance of a pneumatic conveying system is improved, and the method has important application value in the pneumatic conveying fields of thermal power plants, mining industry and the like.

The invention relates to the technical field of fluid dynamics, in particular to a lattice-Boltzmann method-based thin particle flow two-way coupling modeling method, which comprises the following steps of: performing field domain discretization by selecting spatial resolution, performing collision migration and viscosity coefficient setting, establishing a time step sequence and a fluid initial speed, determining a speed disturbance parameter, and establishing a two-way coupling model; calculating particle volume fraction and density distribution to obtain a speed distribution function set. According to the method, the spatial resolution is selected for field domain discretization, so that flow field division is more refined, the motion resolution of particles in different regions is enhanced, and the numerical error of the particles in a local region is reduced. And through collision migration and viscosity coefficient setting, it is ensured that the particles are evenly stressed in different flowing states, and the stability of the particle motion trail is improved. A time step sequence and a fluid initial speed are established, so that the time advancing process of particle movement is kept consistent, and speed deviation caused by mismatching of time steps is reduced.

The self-adjusting abrasive flow clamp is suitable for machining a tee joint through the abrasive flow technology and is characterized in that the self-adjusting abrasive flow clamp comprises a base, a baffle ring, a surrounding cylinder, a first arc-shaped bent pipe, a second arc-shaped bent pipe and a third arc-shaped bent pipe, opening structures are arranged at the two ends of the surrounding cylinder, a mounting hole is formed in the baffle ring, and an arc-shaped protrusion is arranged on the top face of the base; when abrasive particles enter through the third arc-shaped bent pipe, the abrasive materials flow out only through the first arc-shaped bent pipe; when the grinding materials are input through the groove, the grinding materials enter the tee joint through the second arc-shaped bent pipe and are output through the top end of the third arc-shaped bent pipe, the tee joint grinding efficiency is improved, and time consumption is reduced.

The invention relates to the technical field of heat storage and energy conservation, and provides a moving bed high-temperature particle flow and heat transfer characteristic simulation and prediction method and system based on deep learning and electronic equipment. The method comprises the steps that high-temperature particle flow characteristic numerical simulation is conducted, and a three-dimensional moving bed high-temperature particle flow numerical model is established; simulating association of a bed structure, particle properties and particle accumulation and flow pattern rules, and establishing a particle distribution regulation and control strategy; performing numerical simulation on heat transfer characteristics of high-temperature particles, establishing association between particle flow characteristics and a temperature field, simulating a gas-solid two-phase composite heat transfer process of the particles, and establishing a temperature field control strategy; intelligent prediction of particle distribution and a temperature field is carried out, intelligent prediction of particle distribution and the temperature field at a specific moment is realized based on deep learning, and a regulation strategy based on numerical simulation is optimized. The particle flow and heat exchange characteristics of the moving bed are clarified, a theoretical support and a technical solution are provided for improving the waste heat recovery efficiency of the blast furnace slag, and the energy utilization rate can be increased.

The invention relates to a dynamic water body generation method and system based on 3D Gaussian spatter, and belongs to the field of image processing.The method comprises the steps that firstly, a three-dimensional water body model is generated through 3D spatter according to water body pictures of multiple views; 2, determining an internal filling area through an intersection point concept, and carrying out particle filling on the interior of the three-dimensional water body model to obtain a dynamic three-dimensional water body model; and step 3, solving a partial differential equation for describing fluid motion through a smoothed particle hydrodynamic method, physically integrating the three-dimensional water body model, reconstructing a dynamic model and obtaining a water body flow effect. According to the invention, the dynamic three-dimensional water body can be generated according to the two-dimensional water body pictures at different angles; through combination of 3D Gaussian and smoothed particle fluid dynamics, a water body is endowed with a physical attribute, and a water body model is endowed with a physical motion attribute.

The invention provides a mixed modeling method for the pumping and printing process of 3D printing concrete. According to the method, intelligent aggregate is introduced, real-time monitoring and data collection of particle motion behaviors in the 3D concrete pumping and printing process are achieved, and comparative analysis is conducted on collected multi-dimensional dynamic data of particle speed, acceleration and collision frequency and discrete element-computational fluid mechanics (DEM-CFD) coupling simulation results; therefore, efficient inversion and accurate calibration of input parameters of the DEM-CFD coupling simulation model are achieved, and compared with unobservability and uncertainty of the particle flow state in the traditional concrete pumping process, the method can achieve transparency in the particle movement process; the parameter inversion method provided by the invention is based on fitting optimization of actually measured particle motion data and a numerical simulation result, so that manual intervention and experimental overhead are remarkably reduced.

The invention relates to a training method and device of a particle flow field reconstruction model and a particle flow field reconstruction method and device. The initial particle flow field reconstruction model comprises a pulse coding module, a cost volume fusion coding module and a particle flow field reconstruction module. The method comprises the following steps: acquiring sample pulse image data; performing feature extraction processing on the sample pulse image data collected in the different time windows to obtain a plurality of pulse feature maps corresponding to the different time windows, determining a local cost volume based on the corresponding pulse feature maps in the different time windows, and determining a total cost volume based on the pulse feature maps in all the time windows; fusing the local cost volume and the total cost volume to obtain a multi-time-step cost volume memory; and performing reconstruction processing on the multi-time-step volume memory to obtain a reconstructed particle flow field, and training the initial particle flow field reconstruction model to obtain a particle flow field reconstruction model. By adopting the method, the flow field reconstruction precision can be improved.