392 results about "Mesh node" patented technology

The invention relates to the field of three-dimensional scene rendering, in particular to a three-dimensional scene data generation method, an analysis method, rendering equipment and a computer storage medium. According to the method, LOD (Level of Detail) grading processing is performed on three-dimensional scene data, foreground data in the three-dimensional scene data is divided into a plurality of LOD layers, each LOD layer is divided into a plurality of grid nodes, and each grid node is independently stored, so that the data can be loaded as required. Meanwhile, different compression modes are adopted for different data, the GPU can directly analyze and read the compressed data, decompression in a memory is not needed, occupation of the memory and video memory bandwidth is greatly reduced, and rendering efficiency is improved.

The invention relates to a valve health degree monitoring and maintaining method and system based on an electric actuator, and belongs to the technical field of mechanical control and automation. The method comprises the steps that valve maintenance data of the electric actuator are obtained, a position-pressure bimodal grid is constructed based on the valve maintenance data, pressure testing is conducted on a valve, torque-opening curves in the opening and closing processes are analyzed, and valve health degree data are obtained; an electric execution monitoring model is constructed, a valve torque curve is obtained, maintenance information labels are added to grid nodes according to the valve maintenance information through a labeling binding method, and a valve health maintenance scheme is generated; for the pressure test, identifying switching time delay, hysteresis and leakage data in a valve torque profile and an operation log through a curve feature extraction method to obtain a valve scheme optimization strategy; and executing the maintenance scheme optimized by the valve scheme optimization strategy, and automatically outputting the updated valve health maintenance scheme based on a recursive execution feedback method.

The invention belongs to the technical field of engineering simulation data processing, and particularly discloses a finite element grid graph structure construction method and system, a terminal and a medium. Comprising the following steps: analyzing original full-amount grid data exported by finite element simulation, segmenting unstructured grid data into a grid vertex coordinate set and a grid unit mark number set, and constructing a graph edge topological structure corresponding to a grid based on a unit mark number relationship; on the basis, loading physical field data and adopting a tolerance-based coordinate matching algorithm to realize accurate mapping of physical field labels and material attributes with grid nodes; and generating standardized finite element grid graph data which can be directly used for graph neural network processing. By means of the method, high-consistency and high-physical-reliability conversion from the finite element simulation data to the graph structure data is achieved, and the physical field modeling and simulation acceleration capacity based on graph learning is improved.

The invention discloses a petroleum pipeline service life prediction system based on a 3D technology, and relates to the technical field of pipeline service life detection, and the system comprises a contour reconstruction module S11 which is used for obtaining the surface three-dimensional point cloud image data of a petroleum pipeline housing in an actual operation environment, and carrying out the surface contour reconstruction processing based on the three-dimensional point cloud image data, extracting space geometric structure data containing a local deformation defect area; the force-heat coupling analysis module S12 is used for constructing a finite element analysis grid according to the space geometric structure data and loading operation condition data into corresponding grid nodes to generate a force-heat coupling stress field, and the operation condition data comprises a periodic internal working pressure value, along-line temperature field data and an axial disturbance stress tensor; the feature extraction module S13 is used for calculating an equivalent stress distribution value of a defect area node based on a force-heat coupling stress field; according to the invention, accurate quantification of fatigue damage evolution of the defect area is realized.

The invention belongs to the technical field of control detection, and particularly relates to a laser cutting machine cutting control method and system.The laser cutting machine cutting control method comprises the following steps that S1, frequency sweeping excitation is applied to a plurality of preset grid node positions of a laser cutting machine workbench, and vibration response data of a cutting head is collected; a dominant pole and a zero point of a vibration transfer function of each grid node are identified and extracted, spatial distribution is fitted by using a non-uniform rational B-spline surface, and a spatial model of continuous mapping between a cutting head position and a vibration transfer function parameter is established; s2, decomposing a to-be-processed path into a plurality of path infinitesimal segments, and calculating a preliminary feed-forward compensation instruction of each path infinitesimal segment based on a space model and a zero-phase error tracking control algorithm; according to the invention, the contour error caused by structural vibration and non-linear factors is reduced, the processing precision and the cutting surface quality of the laser cutting machine in a full working range are improved, and the forming effect of a complex contour at a high speed is improved.

The invention discloses a bridge structure monitoring method based on multi-source data and digital twinning and a related device, and relates to the technical field of bridge engineering.The method comprises the steps that an initial finite element model of a target bridge is constructed based on a design drawing and structural parameters of the target bridge, and the initial finite element model of the target bridge is constructed based on the initial finite element model and preset load conditions; calculating to obtain simulation mechanical response data of each grid node of the target bridge; based on the simulation mechanical response data and the obtained actually measured mechanical response data of each grid node of the target bridge, obtaining a corrected finite element model; inputting the obtained traffic load data passing through the target bridge into a digital twinborn calculation model constructed based on the corrected influence line data for numerical calculation to obtain an overall structure response cloud picture and a structure response-time curve of the key monitoring point, and fusing the overall structure response cloud picture and the structure response-time curve with the obtained three-dimensional visualization model to obtain a three-dimensional visualization model; and obtaining the structural state of the target bridge. According to the invention, accurate monitoring and real-time state evaluation of the bridge structure are realized.

The invention discloses a curved surface porous structure modeling simulation method and system for finite element analysis, and belongs to the technical field of mechanical engineering simulation, and the method mainly comprises the steps: carrying out the initial grid division of a target curved surface part, and obtaining a grid node set covering a curved surface; according to a preset hole center coordinate, three closest grid nodes are automatically searched in the grid node set, a local reference plane is established, and the hole axis direction is determined; generating an offset sketch plane in the normal direction of the reference plane, projecting the hole center to the sketch plane, drawing a circular sketch, and executing a stretching and cutting command to form a hole; and circularly executing the operation to realize automatic generation of multiple holes on the curved surface. And finally, the porous structure is subjected to grid division again, so that subsequent operation is facilitated. According to the method, the modeling process is combined with parameterization analysis and an automatic process, the efficiency and stability of porous modeling of the complex curved surface structure are remarkably improved, and a basis is provided for finite element pretreatment of the complex curved surface structure.

The invention belongs to the technical field of aircraft strength design, and particularly relates to an aircraft structure strain field reconstruction method and device based on a deep learning neural network, and the method comprises the steps: S1, carrying out the dimension reduction mapping of irregularly distributed three-dimensional grid nodes of a finite element model, and obtaining regular two-dimensional grid nodes; s2, obtaining calculation results of each two-dimensional grid node under a plurality of working conditions based on finite element simulation, and constructing a training set; s3, training the U-NET deep convolutional network through the training set to obtain a strain field proxy model; and S4, based on the strain field agent model, processing an input image with a small number of measurement point position measurement results to obtain an output image containing an aircraft structure strain field. According to the invention, the strain field of the whole aircraft can be reconstructed through displacement data of a small number of points measured by the static test of the whole aircraft.

The invention relates to an ocean platform pipeline wiring method and system based on an ant colony optimization algorithm, and a medium, and belongs to the technical field of intelligent optimization algorithms. Comprising the following steps: S11, environment modeling: discretizing a three-dimensional space of an ocean platform into a grid model, marking an obstacle region and a feasible region, and calculating a grid node energy value; s12, parameter initialization: constructing a heuristic information matrix based on pipeline inlet and outlet coordinates and equipment parameters, and determining a node transition probability by the matrix through a direction probability allocation strategy and a distance sensitive function; s13, path optimization: generating candidate paths through dynamic smooth search, local pheromone adaptive adjustment and collaborative ecological niche search, and updating pheromones; and S14, constraint verification and result output: verifying whether the path meets the engineering constraint or not, and outputting the three-dimensional coordinate, length and bend number of the optimal pipeline path after iterative optimization. According to the method, efficient, safe and economical wiring of the offshore platform pipeline is achieved.

The embodiment of the invention discloses a method and device for generating a dam surface settlement cloud picture based on a self-adaptive interpolation model. A specific embodiment of the method comprises the steps of performing feature extraction on multi-dimensional monitoring point data of a preset dam structure to generate a dam body scene portrait; according to the dam body scene portrait, generating an optimal interpolation algorithm; optimizing the optimal interpolation algorithm to generate an optimized interpolation algorithm; generating a non-oscillation cloud picture according to dam body physical attributes of a preset dam structure and an optimization interpolation algorithm; performing preset-size grid block division on the non-oscillation cloud picture to generate a cloud picture grid node set; performing parallel processing on each cloud picture grid node in the cloud picture grid node set to generate an accelerated interpolation result; and performing incremental updating on the accelerated interpolation result to generate an updated interpolation result. According to the implementation mode, the accuracy, efficiency and engineering applicability of dam settlement interpolation are improved.

The invention relates to the technical field of enterprise resource management, in particular to a mobile observation project full-process collaborative management method, which comprises the following steps: acquiring multi-dimensional observation data and an elevation model of a to-be-observed area, and accessing an inventory node to construct a digital instance library; constructing a collaborative constraint graph based on the data, calculating a grid node operation deployment resistance index and an accessibility factor, and generating an admission control matrix; traversing the instance library to obtain an efficiency portrait, and calling an element matching model to evaluate a matching index and generate a circulation work order; receiving a stress accumulation log in the logistics process, executing stress recovery evaluation to generate an inventory freezing time window, and dynamically updating a task scheduling time axis; and executing project compliance auditing and evaluating a business consistency index, generating a performance qualification voucher, and incorporating the nodes updated to be in the in-service state into a resource allocation scheduling queue. According to the invention, through dynamic cooperation of the multi-dimensional environment constraint and the equipment stress, the whole-process accurate management of assets is realized.

The invention discloses an induction heating path optimization method suitable for a heterogeneous noise elimination structure, and particularly relates to the field of induction heating path optimization of the heterogeneous noise elimination structure, and the method comprises the steps: building a grid coordinate in a target region, collecting the heat conductivity coefficient, the specific heat capacity, the thermal resistance value and the induction coil gap value of each grid node in the grid coordinate, generating a thermal response model; and performing heat conduction calculation on the thermal response model and a preset heating power curve, calculating a temperature rise value of each grid node in a fixed preset heating time, marking the grid nodes of which the temperature rise values reach or exceed a safe temperature threshold and the adjacent grid nodes as heat concentration areas, and generating risk area data after gathering the heat concentration areas. A risk assessment and dynamic reordering mechanism based on local thermal characteristic difference is introduced in a heating path planning process, so that advanced identification and real-time avoidance of a heat concentration area are realized.

This invention provides a method and system for monitoring surrounding rock deformation in underground coal mines based on three-dimensional point clouds, relating to the field of coal mine safety monitoring. The invention includes the following steps: installing a reference target in the monitoring area and collecting point cloud data; preprocessing the point cloud data, performing coarse registration using the reference target and fine registration using the iterative nearest point algorithm, and generating a triangular mesh model using the Poisson surface reconstruction algorithm; parameterizing the triangular mesh model of the monitoring area into a two-dimensional analysis mesh, calculating the three-dimensional displacement vector of each node, and establishing a displacement field matrix; calculating the displacement gradient tensor based on the displacement vector, deriving the Green-Lagrange strain tensor, and obtaining the full-field strain distribution; recording the strain value of each mesh node, and determining whether an instability warning is triggered based on the relationship between the strain value and the warning threshold; this method can achieve high-precision monitoring of surrounding rock deformation in underground coal mines.

The invention discloses an intelligent well site comprehensive management system based on digital twinning and AI analysis, and belongs to the technical field of digital twinning. Uniformly representing the multi-physical field data as a tensor data structure including a space dimension, a time dimension and a physical quantity dimension; performing data fusion on the tensor data structure and the three-dimensional geometric model of the well site, and establishing a spatial association relationship of multi-physical field data at grid nodes; establishing physical field control equations based on the fused data, and correlating the equations through a coupling operator to form a multi-physical field coupling equation; solving the coupling equation to obtain a numerical solution of each physical field distribution; generating a control instruction sequence for adjusting the operation parameters of the well site equipment according to the numerical solution; according to the invention, accurate sensing and intelligent regulation and control of the operation state of the well site equipment are realized, and the intelligent level of well site management is obviously improved.

The invention discloses a surface material point embedding method for a multi-body contact problem, and belongs to the technical field of computational mechanics and numerical simulation. The method comprises the following steps: 1, performing discretization and parameter setting on a physical model of a multi-body contact system; 2, calculating a contact force; 3, transmitting the physical quantity of the material points of the contact body to background grid nodes to obtain node mass, momentum and force; 4, updating the grids; 5, updating the speed, the displacement, the stress and the density of the material point; 6, resetting the physical quantity of the background grid; seventhly, repeating the first step, the fourth step, the fifth step and the sixth step, sequentially updating the physical quantities of the material points of other contact bodies and the positions and the speeds of the slave nodes, and distributing background grid node memories of the areas where the corresponding contact bodies are located; and 8, after all contact bodies are updated, updating the current time to obtain a dynamic simulation result. According to the method, the boundary of the object can be accurately represented, complicated problems such as impact and multi-body contact can be effectively simulated, and meanwhile, the method has good stability and relatively low memory consumption.

The invention provides a dam safety monitoring data analysis method and device based on space-time gradient. Constructing a space-time fusion coordinate system, discretizing a three-dimensional space coordinate of the dam into finite element grid nodes, and mapping each node to a normalized parameter space through cubic spline interpolation to form a space parameter; the method comprises the following steps: dynamically expanding monitoring data on a time axis, generating time-frequency joint representation by adopting a sliding time window and wavelet transform, and forming a high-dimensional space-time curved surface with a time-space double-continuous axis; a first-order space-time gradient field and a second-order curvature tensor are calculated based on the space-time curved surface, a finite element balance equation is combined as a regularization item, and mathematical modeling and dynamic recognition of an abnormal propagation path are achieved; and according to the characteristics of the gradient field and the curvature tensor, constructing a space-time attention mechanism, automatically focusing a high-risk area and generating a graded early warning signal. According to the invention, the abnormity identification precision and early warning timeliness can be effectively improved, the false alarm rate is reduced, and the system expansibility is enhanced.

The application discloses a greenhouse environment control method based on adaptive control vector parameterization, comprising the following steps: constructing a nonlinear optimal control problem of a type of greenhouse environment dynamic constraint optimization based on constraint conditions in a greenhouse environment, and converting the problem into a nonlinear programming NLP problem of a type of limited dimension parameters; based on a control vector parameterization method, solving the NLP problem by fusing engineering constraint rules and a penalty function method aiming at different constraint conditions on fixed time grid nodes of a "coarse grid"; adaptively subdividing the fixed time nodes of the "coarse grid", and constructing new "refined" time grid nodes; based on the new "refined" time grid nodes, re-solving the NLP problem until a termination condition is met to stop the solving, so that the best solution result of the NLP problem is obtained. The application solves the problem of low calculation efficiency in the solving process of the control vector parameterization method for the dynamic optimal control problem in the prior art.

The invention relates to the technical field of water monitoring and detection, in particular to a simulation system and an early warning method for multi-point dam break flood. The simulation system comprises a data collection module, a data processing module, a model construction module and a simulation calculation module, and the simulation calculation module is used for completing calculation of multi-point dam break flood in the flood dynamic coupling model and outputting a simulation result. Different reference data are unified to the same projection coordinate system through a coordinate conversion algorithm, and terrain splicing dislocation is avoided; the model construction module firstly generates an unstructured grid based on accurate topographic data, and grid nodes are overlapped with actual topographic feature points through a grid boundary optimization algorithm; extracting a grid where a potential overflow point is located, and writing the grid into a parameter file as a dynamic boundary condition; finally integrating geometry, boundaries, parameters and source files to construct a coupling model; the problem that an existing simulation system cannot truly reflect nonlinear phenomena such as turbulence and vortex in the flood routing process is solved.

The invention relates to the technical field of building structure safety monitoring, in particular to a stress deformation monitoring method and system for a rib truss floor support plate. The method comprises the following steps: establishing a digital twinborn model, mapping sensor data to grid nodes on a plate surface, calculating a local curvature, and ensuring data reliability through temperature compensation and confidence interval verification; an abnormal sensitivity index ASI is constructed based on multi-modal data, strain, displacement, frequency and curvature deviation are fused and dynamically weighted, and an abnormal area is positioned in combination with spatial clustering; the ASI evolution trend is analyzed through sliding window regression, slope and intercept parameters are extracted, and a health evolution index HEI is generated to achieve four-level health grading early warning; and establishing an abnormal dynamic model to simulate a local abnormal propagation path, predicting the residual life and the health risk index, and guiding a maintenance decision. According to the invention, monitoring-early warning-decision closed-loop management is realized.

The invention provides a mine geological disaster early warning method and system based on digital twinning and electronic equipment, and relates to the technical field of geological disaster monitoring and early warning. The method comprises the following steps: constructing a digital twinborn model corresponding to a target mine based on multi-dimensional geological data and rock physical and mechanical parameters; collecting multi-source heterogeneous monitoring data of the target mine in real time, and mapping the multi-source heterogeneous monitoring data to corresponding grid nodes of the digital twinborn body based on the spatial coordinate relationship so as to update state attributes of the digital twinborn model in real time; according to the rock mass physical and mechanical parameters of the grid nodes and the updated state attributes, a slope stability coefficient is calculated through a rock and soil mechanical model; calculating a displacement predicted value based on historical time sequence characteristics of the multi-source heterogeneous monitoring data by using a data driving model; and carrying out fusion calculation on the slope stability coefficient and the displacement prediction value to obtain a comprehensive early warning index, and when the comprehensive early warning index meets a preset geological disaster alarm condition, rendering a risk area in the digital twinborn body.

The invention discloses a hierarchical collaborative anchoring prevention and control method for a hidden down-dip rock slope, and relates to the technical field of hierarchical collaborative anchoring prevention and control for the hidden down-dip rock slope, and the method comprises the following steps: obtaining geological survey data of a target slope, and generating a slope digital model composed of a plurality of grid nodes; and performing strength reduction on the slope digital model, simulating a process of evolving the target slope from a steady state to an unsteady state, obtaining data of each grid node in the simulation process, calculating a shear strain value of each grid node, and generating initial slope stress field data. According to the method, the dynamic evolution path of the shear band is accurately tracked through strength reduction simulation and space-time sequence reconstruction, and shear evolution characteristics can be accurately identified, so that dislocation of a reinforcement position and an actual disaster-causing region is effectively avoided, reinforcement failure caused by shear failure of a side slope is effectively avoided, and the prevention and control effect is effectively improved.

The invention belongs to the related technical field of subtractive manufacturing, and discloses a material removal simulation and workpiece deformation prediction method based on an extended finite element simulation model and application. The method comprises the following steps: carrying out finite element mesh division on a three-dimensional model of a blank, and carrying out mesh encryption treatment on the periphery of a preset virtual crack surface, so as to obtain a plurality of mesh units; loading residual stress in the three-dimensional model of the blank, and calculating a total load vector; calculating a global stiffness matrix; solving an overall displacement free vector; and obtaining a displacement free vector of each unit according to the total displacement free vector, and applying the displacement free vector of each unit to a grid node of each unit so as to obtain coordinates of the node after deformation, thereby realizing deformation prediction. According to the invention, the problems of low calculation efficiency and poor calculation precision in deformation simulation prediction are solved.

The present disclosure relates to methods and apparatus that registers a plurality of mesh node devices to operate as part of a wireless mesh network after a user device scans encoded information that is unique to each mesh node of a plurality of different mesh nodes. After codes associated with different respective mesh nodes are scanned by a user device, that user device may communicate with these different mesh nodes via a low power communication interface and the user device may send registration information to a registration computer via a secure communication channel. Apparatus consistent with the present disclosure may also receive a validation code from the registration computer via a communication channel that is different from the secure communication channel and these apparatus may then send the validation code to the registration computer via the secure communication channel when the user device is validated by the registration computer.

The invention relates to a multi-disaster coupling tough power grid dynamic defense method and a storage medium, and the method comprises the steps: a multi-disaster coupling analysis module receives disaster data and power grid data in real time, carries out the grid processing, obtains a disaster coupling value H of each grid, and carries out the risk grade division of each grid; the dynamic toughness evaluation module calculates the node vulnerability index of each grid according to the disaster coupling value H of each grid and the real-time data of the power grid; the collaborative recovery decision module formulates an optimal recovery strategy for the execution terminal by adopting a mixed integer linear programming model MILP according to the vulnerability index of each grid node, the equipment importance grading information and the fault influence range information; and the execution terminal executes the instruction according to the optimal recovery strategy and feeds back the executed state data in real time. Compared with the prior art, the method provided by the invention solves the three major problems of vulnerability identification lagging, low recovery resource scheduling efficiency and difficulty in cross-department collaboration of the oversize urban power grid under composite extreme disasters.

A vehicle infrared radiation simulation method based on temperature field mapping comprises the following steps: S1, performing thermal influence analysis on an original vehicle model to generate a simplified vehicle model; s2, grid division is carried out on the simplified vehicle model, and a temperature field of the simplified vehicle model is solved by adopting a numerical analysis method; s3, respectively extracting node coordinates of the original vehicle model and the simplified vehicle model, respectively calculating geometric centers of the original vehicle model and the simplified vehicle model, and realizing spatial registration of the original vehicle model and the simplified vehicle model through translation transformation; s4, mapping the temperature value of the simplified vehicle model to a corresponding grid node of the original vehicle model by adopting a KNN algorithm based on a KD tree and combining an inverse distance weighted interpolation algorithm; and S5, on the basis of the mapped original vehicle model temperature field data, in combination with the material emissivity and the environmental radiation parameters, calculating the infrared radiation characteristics through a ray tracing method. According to the method, the calculation efficiency can be remarkably improved while the simulation precision is ensured, and the advantages are obvious.

The present disclosure relates to a method and system for optimizing aerodynamic characteristics of a flow equalization air ring structure in a medium-speed coal mill based on Fluent simulation. The method comprises establishing and optimizing a model of the flow equalization air ring structure, meshing the model using Ansys ICEM, importing meshes, arranging an MRF rotating region on a dynamic ring structure, selecting an energy equation model, setting a DPM and a boundary condition, and adopting a modified mixture gas model based on empirical formulas for boundary conditions at an inlet and outlet, initializing computation information of a mesh node, setting a solver and performing iterative solving, after a computation result converges, performing post-processing on the computation result, storing the computation result, modifying structural parameters, and repeating the above steps to obtain a plurality of simulation results to obtain parameters of an optimal flow equalization air ring structure.

The invention discloses a landfill well group optimization layout method based on permeability coefficient field inversion, relates to the field of well group optimization layout, and aims to utilize a finite element forward model to couple observation water level data and perform dimension reduction processing on grid nodes through characteristic decomposition. The technical core is that a bimodal distribution nonlinear mapping mechanism is introduced, and a low-dimensional parameter vector obtained by inversion is reconstructed into a high-resolution permeability coefficient field with clear space information of a fracture domain and a matrix domain. And according to the physical field distribution, a potential poor wetting area is positioned by identifying the position of a preferential flow channel and a hydraulic response blind area caused by the preferential flow channel. And based on the spatial relationship between the geometric centroids of the blind areas and the heterogeneous flow field, performing targeted correction and encryption on the initial well group coordinates. In this way, the technical problem that in the prior art, precise well spacing cannot be conducted according to the complex structure in the landfill is effectively solved.

The invention relates to the technical field of railway operation and maintenance, in particular to a railway operation and maintenance-oriented digital base establishment method, which comprises the following steps of: acquiring a railway operation and maintenance log, and constructing an operation and maintenance topological graph consisting of multiple grid nodes; guiding the operation state of each grid node in the operation and maintenance topological graph, determining a connection path of each grid node when the alarm event occurs, and determining an association rule corresponding to each connection path; deriving a range boundary corresponding to the alarm event based on an association rule of each connection path, and dividing the operation and maintenance topological graph into a plurality of target sub-graphs based on the range boundary; based on the multi-dimensional data of the target sub-graphs, determining an execution strategy of each target sub-graph, and mapping the response time and the state updating time of each grid node in the target sub-graphs during strategy execution into an alarm processing strategy of each grid node; generating a disposal flow in a railway operation and maintenance scene according to the alarm processing strategy according to the development track of the alarm event; and the railway maintenance efficiency and the processing precision are improved.

The invention discloses an explosive shock wave intelligent mixed numerical simulation method, device and equipment, and relates to the field of numerical simulation, and the method comprises the steps: determining a computational domain range, grid node information and simulation termination time of an explosive shock wave simulation problem, and constructing a tetrahedral grid; initializing a physical flow field based on a computational domain range, and constructing a flow field analysis model based on the tetrahedral mesh; using a mean total variation bounded discontinuous detection method to identify a discontinuous region and a smooth region in a computational domain range; for the discontinuous region, reconstructing physical parameters in the flow field analytical model by adopting a non-structural multi-resolution weighted essential oscillation-free reconstruction method, and for the smooth region, reconstructing physical parameters in the flow field analytical model by adopting a linear windward reconstruction method; and performing spatial discretization on the physical flow field based on the flow field analysis model, then performing time discretization, and obtaining a numerical simulation result until the calculation time exceeds the simulation termination time. According to the invention, optimal balance of precision and efficiency is realized.

The invention discloses a dynamic sound field partition control method based on Kalman filtering, and belongs to the technical field of vehicle-mounted audio and signal processing, and the method comprises the steps: dividing a space in a vehicle into a plurality of grid nodes, measuring a transfer function from a loudspeaker array to each node, and pre-calculating a corresponding filter coefficient when each node is used as a bright region, establishing a database; the method comprises the following steps: acquiring an ear image of a passenger in real time through a sensor, calculating an observation position, and processing the observation position by adopting a Kalman filtering model to obtain an optimal estimation position; and determining the grid node according to the optimal estimation position, calling a corresponding filter coefficient from the database to process the audio signal, and generating a driving signal to control the sound field. According to the method, complex calculation is offline, and accurate prediction and estimation are carried out in combination with Kalman filtering, so that the problems of inaccurate and unstable sound field control caused by sensor noise and operation delay in the prior art are effectively solved, and high-precision and high-real-time dynamic sound field partition control is realized.