99 results about "Grid size" patented technology

The invention discloses a seismic oscillation generation method based on a DFEM model, and the method comprises the steps: obtaining multi-source data in a target simulation region, and obtaining fusion stratum wave velocity structure data; determining the minimum grid size of the DFEM model according to the fused stratum wave velocity structure data and a preset simulation frequency upper limit, and dividing grids and determining nodes according to the minimum grid size; constructing a seismic propagation related physical constraint set; the physical constraint is embedded into a primary training process of a DFEM model, a Green function of a fracture surface sub-source in a target simulation area is obtained, convolution operation is carried out on the Green function, expanded seismic oscillation samples under different scenes are generated, and the expanded seismic oscillation samples and full-physical simulation seismic oscillation samples form a data set; performing secondary training on the DFEM model based on the data set to obtain a seismic motion prediction model; and generating diversified vibration samples based on the seismic motion prediction model. The problems that traditional pure physical simulation seismic oscillation simulation is high in cost, long in time and the like are solved.

The invention belongs to the technical field of computational electromagnetics, and discloses a numerical calculation method for simulating electromagnetic wave propagation characteristics in time-varying plasma, which is a three-dimensional Newton-HIE-FDTD method for efficiently simulating propagation of electromagnetic waves in time-varying plasma based on a hybrid explicit-implicit finite difference time domain method and Newton's second law of motion. The method inherits the advantages of the Newton-ADE-FDTD method, the time-varying electron density is accurately represented through the time derivative, and the abundant dynamic characteristics of the time-varying plasma can be accurately captured. On the basis, the method also fuses the advantages of an HIE-FDTD method, so that the time step length of the algorithm is only restricted by the sizes of grids in two directions, and compared with other simulation methods based on time-varying plasma, the method provided by the invention is more excellent in calculation efficiency and is more suitable for large-scale popularization and application. The method is especially suitable for analysis and simulation of electromagnetic wave propagation characteristics in time-varying plasma.

The invention provides an intelligent grid size field prediction method, which comprises the steps of inputting geometric data, material parameters and boundary conditions of a to-be-processed CAE model, automatically extracting an input feature set, inputting the input feature set into a trained hybrid model, and outputting an initial grid size field; and performing post-processing on the initial grid size field, including performing smoothing processing by adopting Gaussian filtering to ensure that the size difference of adjacent patches does not exceed 20%, executing constraint verification to ensure that the grid size is within a preset range, and performing multi-physical field adaptation to take the minimum value of the size required by each physical field. And generating a CAE (Computer Aided Engineering) grid based on a post-processing grid size field driving grid generation algorithm, feeding back the grid quality in real time in a grid generation process, and if the grid distortion rate exceeds 5%, predicting and adjusting the size again. According to the method, the grid generation efficiency is remarkably improved, the manual intervention cost is reduced, the simulation precision and stability are ensured, and the method is suitable for complex engineering analysis scenes in the industries of aerospace, automobiles and the like.

The invention provides a tunnel hidden defect simulation detection system, and relates to the technical field of tunnel detection. The method comprises a lining structure, a hidden defect simulation assembly, a radar assembly and a signal processing assembly. The lining structure comprises reinforcing meshes with different mesh sizes and internal defect simulation components; the reinforcing meshes with different mesh sizes are used for simulating the reinforcing meshes under different conditions, and the internal defect simulation component is used for simulating a lining structure under different internal defects; the hidden defect simulation assembly comprises a frame, a hidden defect simulation component and surrounding rock; the radar assembly is used for transmitting and receiving electromagnetic waves in a preset frequency range. The signal processing assembly is used for processing radar echo signals received by the radar, determining radar signal characteristics under the conditions of internal defects of different lining structures and tunnel hidden defects according to the radar echo signals, and constructing a hidden defect simulation detection database. According to the invention, tunnel simulation detection under different working conditions can be realized.

The invention discloses a layout parameterization hierarchical parallel mesh generation method based on Net. The method comprises the following steps: inputting a layout design file, analyzing hierarchical structure identification ports, generating a port set P and creating an accessed port set V (initial V =); a graph G = (VG, EG) is constructed, VG comprises key vertexes or geometric centers of ports and conductor fragments, an electrically independent Net is generated through traversal of a breadth-first search algorithm or a depth-first search algorithm, and iteration is performed until V is completely equal to P; configuring independent subdivision parameters such as a grid size and a grid algorithm for each Net; net is used as an independent task, grids are divided through parallel computing frameworks such as multithreading, and a complete grid file for subsequent simulation is generated after merging. According to the method, Net automatic identification is realized through graph theory analysis; different Net precision requirements are adapted by differential subdivision parameters, so that waste of computing resources is avoided; through parallel processing, the time consumption of layout grid division is shortened to the time consumption of processing the maximum Net, and the efficiency and the flexibility of simulation pre-processing are remarkably improved.

The invention discloses an automatic radiation noise simulation method, device and equipment of acoustic finite element software and a storage medium, and relates to the technical field of noise simulation, and the method comprises the steps: obtaining a grid size and a convex hull grid distance according to a geometric model, a material and a frequency input by a user; performing mesh generation on the surface of the geometric model based on the mesh size to obtain a surface mesh; obtaining a convex hull grid based on the convex hull grid distance and the surface grid; generating a tetrahedral mesh in an area between the surface mesh and the convex hull mesh; based on the surface grid, the tetrahedral grid and the convex hull grid, acoustic radiation noise simulation is carried out, full-process autonomous generation from simulation input to grid calculation is realized, and the efficiency problem of grid division and boundary setting depending on artificial experience in the prior art is solved. The calculation precision is guaranteed, meanwhile, the pretreatment workload is reduced to the degree that only basic parameters need to be input, and the operation complexity of radiation noise simulation conducted by acoustic finite element software is reduced.

The invention provides a face recognition access control management method and system for a smart community. The method comprises the following steps: constructing a face illumination quality evaluation model to recognize an abnormal area, performing repair by adopting a multi-stage compensation mechanism, and constructing a face feature density field to recognize a sensitive area; dynamically calculating the grid size of each area of the face; extracting texture, shape and semantic features of various scales in the re-divided grids, and calculating a feature contribution value of each grid unit; and constructing a multi-modal input tensor, inputting the multi-modal input tensor to the multi-branch convolutional neural network for training, establishing a closed-loop updating mechanism based on data generated during operation of the access control system, and continuously optimizing the convolutional neural network and parameters of the previous steps. According to the method, the output quality is ensured through multi-dimensional verification, including feature point spatial distribution rationality inspection, density field continuity verification and sensitive area and facial anatomical structure consistency inspection, and the accuracy and reliability of an identification result are effectively guaranteed.

The invention relates to the field of integrated circuit manufacturing, in particular to an optical proximity correction method and device. Determining a target wafer grid image according to a preset grid size and the target wafer pattern; taking the target wafer pattern as a current mask pattern; inputting the current mask pattern into a pre-trained three-dimensional optical proximity correction model, and obtaining an emulational wafer grid image with the assistance of a grid size; calculating an edge height error corresponding to each edge section; judging whether the edge height error exceeds a preset adjustment threshold value or not; when the edge height error exceeds a preset adjustment threshold value, adjusting the position of each edge section in the corresponding normal direction according to the edge height error to obtain an updated current mask pattern; and the step 4 to the step 7 are cycled until the edge height error does not exceed the adjustment threshold value. According to the invention, the defects of photoresist height loss and the like are reduced, and the yield of finished products is improved.

The invention relates to the technical field of three-dimensional geologic modeling, tunnels and underground engineering, in particular to a complex stratum-oriented shield area rapid modeling method, device and equipment, which is driven by three-dimensional point set data containing horizon categories, constructs a modeling domain through data verification and calculation of a space bounding box, generates a geologic entity and a shield tunnel model, and improves the construction efficiency. Deducting a tunnel space to form a geologic modeling domain containing a cavern; a continuous grid size field is constructed based on the tunnel distance field and the stratum complexity, the partition width and the representative size are automatically determined, and self-adaptive zoning encryption is achieved; meanwhile, constructing a horizon self-adaptive judgment mechanism, and stably, continuously and automatically assigning horizon to the grid units through a joint decision; according to the method, the problems of boundary fuzziness and horizon misjudgment are avoided, the modeling precision and consistency of the complex stratum are improved, dynamic updating of the model is supported, the three-dimensional geologic model which can be directly used for construction analysis and parameter optimization can be output, and efficient and reliable technical support is provided for all links of shield construction.

The application discloses a kind of methods for measuring cooling tower water distribution system water distribution uniformity, it is related to detection technical field, including being set with one consistent and grid size according to filler water wave height selection test grid tube square matrix below water distribution system, each grid tube is equipped with electronic flow sensor through drain hose connection graduated cylinder below, through controller linkage valve and accurate timer realizes automatic synchronous start-stop sprinkling and data acquisition, and water volume data is wirelessly transmitted to data processing unit, the unit is based on formula calculation each point balance degree generates water distribution distribution thermodynamic diagram and diagnostic report including score, improvement suggestion, by the above scheme, water distribution uniformity this abstract concept is quantified, the measurement and multidimensional visual analysis of global synchronization, automatic accurate are realized, solve the defects that prior art lacks standardized detection means, difficult to locate problem and carry out effective comparison, provide reliable basis for cooling tower water distribution performance evaluation and optimization.

Methods and systems, including computer programs encoded on computer storage media, are provided. One example method includes: obtaining multiple pairs of sub-tensors based on first sub-tensors from a first tensor and second sub-tensors from a second tensor; determining a spatial grid size based on a size of samples, a size of the first feature dimension, a size of the second feature dimension, a size of a dimension of each first sub-tensor corresponding to the first feature dimension, and a size of a dimension of each second sub-tensor corresponding to the second feature dimension; determining whether the spatial grid size meets a threshold; and determining whether to partition the sample along the sequence length of the sample into a plurality of segments based on whether the spatial grid size meets the threshold, where each segment is assigned to one of a plurality of computing units of a processor for parallel processing.

The application discloses an extraterrestrial celestial body task area search path planning method based on an elevation map and belongs to the technical field of space robots. The method is as follows: the slope data in a task area is solved through the point set data of the elevation map, and the alternative passing position points of the rover are determined; the planning grid size is determined, and whether the grid is passable is determined according to the proportion of the number of passable points in the grid to the total number as a judgment standard; the exploration value of each grid is determined, and a weight value is assigned to the grid. The current grid is taken as a center point, the detectable nodes in a predetermined range around the current grid are marked as detected nodes, and the weight values of the detected nodes are reduced; the value of each grid in the passable range around the current grid is judged with the current grid as a center point, if there is a grid with a value not less than an end threshold, the grid with the maximum value is selected as a next path node, the above steps are repeated, and the extraterrestrial celestial body task area search path planning based on the elevation map is realized.

This invention relates to a BIM-based method and system for optimizing earthwork excavation calculation, belonging to the field of data processing technology. First, based on the building distribution and terrain height variations within a target area, the invention determines the area of ​​the initial sub-regions. Then, based on the planar curvature and terrain height fluctuations of any sub-region, it determines the degree of bias towards undulation and flatness, respectively. Considering the more relevant terrain parameters under these two types of terrain, it synthesizes the two terrain biases to obtain the characteristic value of the current sub-region regarding complex terrain. Then, based on the complex terrain characteristic values, all sub-regions are clustered. Based on the magnitude of the complex terrain characteristic values ​​within each cluster and the original size of the sub-region, the adaptive grid size for each sub-region is determined. Finally, the earthwork excavation volume is calculated using the adaptive grid. This invention can improve the accuracy of earthwork excavation calculation.

The present application relates to the technical field of metrology, and particularly relates to a high-precision grating encoding contact displacement measurement sensor calibration method. A workpiece surface is divided according to a preset grid size, a plurality of surface roughnesses of a plurality of grid regions are obtained according to workpiece surface image recognition, and a plurality of surface radii of the plurality of grid regions are obtained. The plurality of grid regions are clustered to obtain a plurality of same kind grid region sets. A measurement contact force is predicted, height measurement error analysis is performed according to a plurality of predicted contact forces, and a plurality of predicted height measurement errors are output. A high-precision grating encoding contact displacement measurement sensor is used to measure the height of the plurality of grid regions on the workpiece surface, the height measurement values of the plurality of regions are mapped and compensated, and a workpiece height measurement result is output. The height measurement precision and stability of the high-precision grating encoding contact displacement measurement sensor for a complex surface workpiece are improved.

The invention discloses a satellite-borne SAR (Synthetic Aperture Radar) self-focusing method and system for a long-time integral bunching mode, a computer and a storage medium, and the method comprises the steps: screening a strong scattering target region in a manner of taking the maximum contrast or maximum power as a target according to the size of a divided grid; a minimum entropy distance alignment algorithm based on a partial frequency spectrum is used to realize distance migration error estimation of a partial region, a mode of combining hamp filtering and polynomial fitting is used to realize full-scene distance migration error estimation, and a minimum entropy phase correction algorithm is used to realize phase error estimation of a partial region. All-scene phase error estimation is realized by combining a Savitzky-Golay filter and a polynomial fitting mode, and unified compensation processing is performed on an original all-scene image by applying all-scene range migration errors and a phase error estimation result, so that all-scene fine focusing is realized. According to the invention, large-scene full-image fine focusing under the condition of over 15 seconds of ultra-long synthetic aperture time can be realized.

This invention discloses an automatic routing optimization method and apparatus for chips, relating to the field of integrated circuit layout design technology. In this method, the chip is divided into multiple differential grids; the connectivity of the edges and / or diagonals of each differential grid is determined to generate connectivity relationships; candidate paths from the routing start point to the routing end point are determined based on the connectable edges and / or diagonals; differential grids associated with the candidate paths are retained while unrelated differential grids are deleted; the grid size is reduced within the retained area and the filtering is repeated until a preset threshold is met, at which point a pathfinding algorithm is executed to obtain the routing path. This method can reduce the automatic routing search area and improve the routing efficiency of large-scale complex chips.

The application relates to a path planning method based on an adaptive grid and an improved A*-DWA fusion algorithm, and belongs to the field of robots, and comprises the following steps: an environment model based on adaptive grid size is constructed, the adaptive grid length is determined based on the size and quantity of obstacles, and the grid size and the optimal grid length are calculated; the A* algorithm is improved according to known obstacle information, global path planning is completed, and a path with few nodes and high smoothness is obtained; the global path planning nodes obtained by combining unknown obstacle information in the environment model and the improved A* algorithm are selected as temporary target points in the improved DWA algorithm in sequence after the starting point; the improved DWA algorithm continuously travels from the starting point to the temporary target points, the temporary target points are updated after reaching the temporary target points, and the end point is reached. The application can realize global optimal path planning, successfully avoid random obstacles and complete dynamic path planning in a complex environment.

The application discloses a method and a program product for automatically generating a three-dimensional geological finite element model, which determines a horizontal reference surface based on the maximum height difference of the ground surface, determines a first grid size and a second grid size based on a shear wave velocity, and then comprehensively determines the number of ground surface part grids and divides hexahedral units; according to the first grid size, equally divides a base part into horizontal slices with the same height, and determines the grid size of the horizontal slices in combination with a corrected minimum shear wave velocity; according to the grid size and thickness requirement, combines adjacent horizontal slices to obtain a final rock layer division scheme, and then comprehensively determines the number of rock layer grids and divides the rock layer into hexahedral units; and according to the three-dimensional center coordinates of each hexahedral unit, compares the three-dimensional center coordinates with an original geological model, and sets the stratum category of the hexahedral unit. The application greatly reduces the modeling time and cost of a three-dimensional non-uniform field finite element model of a complex terrain, has high grid quality, and is beneficial to the application of the three-dimensional geological model in the simulation and analysis of earthquake disasters.

The invention discloses a multi-scale PTD filtering algorithm based on terrain compensation. The method is realized by the following steps: extracting the last echo point cloud of a laser radar, and preliminarily removing gross error points by using statistical outlier filtering; constructing a multi-scale grid structure according to a proportional attenuation coefficient, adjusting a screening principle of original seed points, combining a TIN filtering method, progressively selecting the seed points layer by layer, and inhibiting non-ground point interference and edge information loss by adopting a self-adaptive boundary expansion strategy; constructing a TIN by combining the seed points and the extension points, and performing TIN filtering on potential seed points in the next layer of smaller grid size; marking the non-ground points after TIN filtering as unclassified points, performing secondary filtering based on terrain specificity, and iteratively approaching a real ground; according to the method, the problems of excessive smoothness and topographic feature loss in discontinuous terrain edges, abrupt slopes and mountaintop areas of a traditional PTD algorithm are solved.

The invention discloses a silicon bridge interconnection core particle thermal sensing layout method based on reinforcement learning. The method comprises the following steps: S1, receiving a configuration file containing a core particle set, a size, an identifier and a silicon bridge connection relation network; s2, constructing a reinforcement learning environment, setting the size of a substrate and the size of a grid, and generating a fixed placement sequence of core particles based on a connection relationship; s3, determining legal candidate positions in sequence, sampling a preset area of the substrate in an empty layout, taking an intersection of candidate positions of adjacent core particles in a non-empty layout, and filtering illegal positions; s4, the intelligent agent selects an action containing a placement coordinate and a rotation state from the legal action set for execution; s5, calculating a dual-stage reward, guiding a legal layout, and optimizing thermal performance, area and bus length; s6, neural network parameters are updated based on a reinforcement learning algorithm; and S7, circulating the steps S3-S6 until the termination condition is met, and outputting the optimal layout meeting the core constraint. According to the method, the exploration space is effectively reduced, the solving efficiency is improved, and the cooperation of the silicon bridge interconnection reliability and multi-objective optimization is realized.

The invention provides a simulation research method for wear resistance of a nano-diamond ceramic coating. The invention aims to solve the problem that the existing wear simulation depends on a user subprogram, needs to empirically zoom coefficients and causes unreliable results due to grid-physical mismatch. According to the method, on the basis of Abaqus software, a high-fidelity contact-wear coupling model is constructed, the size of a local grid is determined in combination with the Hertz contact theory, and multi-cycle automatic control is achieved through a native * STEP CYCLING instruction; meanwhile, differentiated wear parameters are defined for the two contact faces respectively, and a termination criterion based on the accumulated wear depth is introduced. By means of the technical scheme, high-precision, efficient and stable abrasion evolution simulation of the nano-diamond ceramic coating can be achieved without external programming.

The embodiment of the invention provides an adaptive surface grid generation method and system based on a grid method, and the method comprises the steps: carrying out the traversing of a volume grid unit, carrying out the recursive subdivision of the volume grid unit meeting a preset condition, and obtaining a subdivided volume grid unit; traversing surface units of the subdivided volume grid units, and marking the volume grid units on two opposite sides of the surface units belonging to the interior of the geometric model as boundary surface units; constructing the grid nodes on the boundary surface units into a to-be-projected point set; calculating and recording projection coordinates of the grid nodes in the to-be-projected point set to the nearest or associated geometric model surface; assembling the boundary surface units into a discrete surface grid, and performing preliminary fitting on the discrete surface grid based on the projection coordinates to obtain an initial surface grid; arranging the surfaces of the geometric model in a descending order according to the area to determine the processing sequence of the geometric surfaces; and according to the processing sequence, performing grid fitting operation on each geometric surface in sequence to obtain a fitting surface grid. By executing recursive subdivision, automatic adaptation of the grid size is achieved, tiny features can be automatically captured and encrypted, and the surface grid can be generated for any complex three-dimensional model in a robust mode. A boundary-driven geometric fitting algorithm is adopted to guide a generated surface grid to be precisely attached to a target geometric model, and it is guaranteed that key curved surfaces and sharp features are kept in a high-fidelity mode after discretization.

A virtual reality level simulation method based on material point method and gridding surface reconstruction belongs to the cross field of computer graphics, physical simulation and virtual reality technology. The steps are as follows: S1, storing the material point position coordinates according to the material point material number, and obtaining the bounding box boundary of the material point by traversing the coordinates; S2, defining and selecting the grid size and boundary extension distance for reconstructing the surface, and generating the grid; S3, selecting a Gaussian function to calculate the contribution of each material point to the overall material point density field, and obtaining the parameters; S4, calculating the contribution of each material point to the overall material point density field, and accumulating to obtain the overall material point density field; S5, obtaining the isosurface of the overall material point density field, and exporting it as a general three-dimensional model of a rendering engine to obtain a simulation visual effect. The method can solve the problems that the prior art cannot process ten million material points, the reconstruction parameter selection is difficult, and the connection with a high-end rendering engine is not smooth, and realizes a virtual reality level simulation visual effect.

The application belongs to the technical field of computational electromagnetics, and discloses a numerical calculation method for simulating electromagnetic wave propagation characteristics in time-varying plasma, which is a three-dimensional Newton-HIE-FDTD method for efficiently simulating electromagnetic wave propagation in time-varying plasma based on a mixed explicit-implicit finite-difference time-domain method and Newton's second law of motion. The method inherits the advantages of the Newton-ADE-FDTD method, accurately represents the time-varying electron density through the time derivative, and can accurately capture the rich dynamic characteristics of the time-varying plasma. On this basis, the method also integrates the advantages of the HIE-FDTD method, so that the time step of the algorithm is only restricted by the grid size in two directions. Compared with other simulation methods based on time-varying plasma, the method is more efficient in calculation, and is particularly suitable for the analysis and simulation of electromagnetic wave propagation characteristics in time-varying plasma.

An apparatus comprising an interface and a processor. The processor may be configured to determine a grid size for a compression operation in response to a source bit-depth and a compressed bit-depth, divide the image frames into grids in response to the grid size, analyze the pixel data for each of the grids to determine a gain and an offset for the grids, process the grids in response to the gain and the offset, calculate a value at the compressed bit-depth for each of the pixel data, store compression parameters in an image header, and generate a compressed image frame comprising the image header and the values for the pixel data at the compressed bit-depth. The compression parameters may comprise a table of the gain and offset for each of the grids. The compression operation may convert the pixel data from the source bit-depth to the compressed bit-depth.

The invention discloses a thin-wall circular tube structure surface rolling finite element modeling method, which belongs to the technical field of structural physics field simulation, and comprises the following steps: model construction: constructing two groups of solid geometric models of a thin-wall circular tube and a rolling disc, the model of the thin-wall circular tube comprising a clamping section, a free section and an imaginary block 1; the model of the rolling disc comprises a disc body and an imaginary block 2; setting material parameters and contact parameters; aiming at the disc body and the free section, dividing grids by adopting a hexahedron; adaptive grid division is adopted for the hypothetical block 1, the hypothetical block 2 and the clamping section; for the contact pair, the grid size of the disc body contact surface is larger than that of the free section contact surface; setting three groups of load steps, wherein each group of load steps comprises at least one load substep; the first group of simulation rolling discs are fed, the second group of simulation thin-wall round pipes rotate and are rolled, and the third group of simulation rolling discs are withdrawn; and carrying out calculation solution based on the finite element model established in the steps to obtain the stress of the free section. Through the modeling method provided by the invention, the influence characteristics of the rolling process parameters on the stress state of the rolled thin-walled circular tube can be quantitatively analyzed in a parameterized manner, so as to support the research on the rolling process.

The invention provides a geological reservoir fracture modeling grid cell determination method based on oscillator dynamic energy optimization and high-order interaction, and relates to the field of geology. According to the method, a dynamic energy optimization framework of an Ising machine is introduced into geomechanical modeling through fusion of amplitude dynamics and a high-order interaction model, the defects that in a traditional method, the physical significance of an energy function is fuzzy, and grid size effect correction is insufficient are overcome, and based on the real-value energy function of a complex oscillator variable and gradient descent, the dynamic energy optimization framework of the Ising machine is introduced into geomechanical modeling. Global convergence of mechanical parameters of the fracture network is realized, and the problem of local extremum of a traditional phase model is avoided; the fracture rigidity parameter is converted into a third-order polynomial energy item, and nonlinear characteristics of normal / shear deformation of the fracture surface are accurately described; a three-cycle method and a dynamic energy threshold value are combined, the grid size is synchronously optimized in the position-scale-azimuth dimension, the characterization error of fracture surface density and mechanical parameter anisotropy is reduced, and a standard grid format compatible with commercial software can be directly output.

The invention provides a polygon approaching detection method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring vertex coordinates and edges of a plurality of polygons in a target image; determining a bounding box occupied by the whole plurality of polygons according to the respective vertex coordinates of the plurality of polygons in the target image; dividing the bounding box into a plurality of grids according to a preset grid size; performing parallel rasterization processing on each edge of the plurality of polygons to obtain a target grid through which each edge of the plurality of polygons passes; and traversing the target grids passed by the edges of the plurality of polygons in parallel to determine whether the target grids passed by the edges of each polygon or adjacent grids corresponding to the target grids are passed by the edges of other polygons, and if the target grids or adjacent grids are passed by the edges of other polygons, judging that the polygons are close to other polygons. Therefore, the approaching detection efficiency can be improved, dynamic scene changes can be adapted, and the real-time response capability of the system is improved.

The present application relates to the field of finite element pre-processing software, and discloses a dummy mechanism automatic adjustment method and system based on finite element pre-processing software, which comprises the following steps: obtaining full-field physical field distribution data of a target dummy model based on a preset simulation working condition, calculating stress gradient data of a grid unit, extracting a grid area with a numerical value greater than a preset threshold value in the stress gradient data, and performing encryption processing of local grid size reduction and node increase on the grid unit in the grid area; and outputting the processed target dummy model. The system focuses on solving the problems of complicated operation, non-uniform parameter configuration, and grid division depending on experience in the existing software during dummy mechanism modeling, and realizes efficient cooperation of dummy model posture adjustment, contact relationship definition, boundary condition setting, and grid quality optimization through the construction of a parameterized, automated, and intelligent adjustment framework.

The invention provides an electronic map grid determination method and a control system. The method comprises the following steps: acquiring respective precision values of a plurality of sensors related to displacement in the intelligent trolley and a plurality of random position deviation values of a plurality of error sources; and determining the range of the grid size of the driving electronic map based on the plurality of random position deviation values of the plurality of error sources and the precision values of the plurality of sensors. According to the method, the total fluctuation range of the error value is constrained in the grid size, and redundancy is reserved to cope with error increase caused by environment change and prevent the error range from overflowing the grid, so that the complexity of data processing can be simplified, and the data processing efficiency and reliability can be improved.