266 results about "Grid size" patented technology

The invention discloses a high-precision DEM construction method based on a point cloud model. The method comprises the following steps: step 1, performing grid division on urban point cloud data, dynamically adjusting the grid size and the neighborhood range based on a weighted gradient value, and calculating the weighted gradient value through the height difference and the distance between the lowest points of a central grid and a neighborhood grid; 2, clustering the urban point clouds by using DBSCAN (Density Based Spatial Clustering of Applications with Noise) and combining the features of color, intensity and texture of the point clouds; 3, taking the extracted ground feature line as a constraint during point cloud filtering, and determining the boundary of a ground point and a non-ground point; step 4, based on the ground feature line constraint in the step 3, executing multi-scale adaptive filtering, and removing non-ground points; 5, taking the extracted ground feature line as a constraint during point cloud filtering, and determining the boundary of a ground point and a non-ground point; and step 6, aiming at different partitions, respectively using a nearest neighbor interpolation up-sampling algorithm to construct a TIN (Triangulated Irregular Network) method to construct an urban high-precision DEM (Digital Elevation Model).

A method, apparatus, non-transitory computer readable medium, and system for media processing includes obtaining a variation parameter and a number of variations, identifying a first variation input and a second variation input for the variation parameter, and obtaining a first media content item and a second media content item based on the first variation input and the second variation input, respectively. The first media content item and the second media content item vary from each other with respect to the variation parameter. The method, apparatus, non-transitory computer readable medium, and system for media processing further includes displaying the first media content item and the second media content item in a grid comprising a grid size based on the number of variations.

The invention relates to the technical field of computational simulation, in particular to a fluid mechanics calculation method and system based on CFD simulation optimization. The method comprises the following steps: acquiring a flow field CFD original simulation model corresponding to fluid mechanics; generating a fluid mechanics flow field key grid area by setting the size of a flow field calculation domain grid and performing calculation domain grid division and flow field key area identification; the method comprises the following steps of: obtaining a grid length-width ratio and torsion resistance corresponding to each grid subunit in the grid, and carrying out grid constraint updating to generate a fluid mechanics flow field updating grid region; a corresponding Reynolds number and a turbulence scale are obtained through the fluid mechanics flow field updating grid area, turbulence model dynamic selection modeling is carried out, and a flow field grid area dynamic turbulence model is generated; and carrying out finite volume division and error simulation correction optimization on the dynamic turbulence model of the flow field grid region to obtain a corrected fluid mechanics flow field quantity calculation result. According to the method, collaborative improvement of fluid mechanics calculation precision and efficiency can be realized.

The present application provides a method for extracting feature points, a method for reconstructing an image, and a device. The method for extracting feature points includes: determining the actual grid size based on the size of an input image and the expected number of feature points n; dividing the input image into grids based on the actual grid size to obtain n grids, where n is an integer greater than 1; extracting feature points from each of the n grids based on an initial threshold to obtain g feature points for the grid; when g is greater than K, determining K feature points with the highest response values ​​among the g feature points as feature points of the grid, where K is the number of feature points to be extracted for each grid. The technical solution of the present application can obtain uniformly distributed high-quality feature points.

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 belongs to the technical field of three-dimensional electromagnetic field numerical solution, and particularly provides a curved surface adaptive fitting method based on anisotropic grids, which comprises the following steps: firstly, establishing a geometric structure of a coaxial transmission line to be calculated, setting simulation frequency, excitation and boundary conditions, and establishing an electromagnetic simulation model; then identifying a curved surface on the model, applying an anisotropic grid on the curved surface, reducing the size of a tangential grid so as to improve a grid curved surface fitting effect, and subdividing a computational domain; carrying out finite element electromagnetic simulation solution and posterior error estimation to obtain a unit mark needing to be encrypted and an encryption size; twice encryption is carried out in the self-adaptive grid encryption stage, simulation calculation is carried out again after twice encryption is completed, and the process is repeated until the solution meets the precision requirement. In conclusion, according to the method, through two-step encryption, the anisotropy of the grids on the curved surface is not damaged in the self-adaptive encryption process, and good solving precision and calculation efficiency are both considered.

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 discloses a candidate position screening method and device for positioning a target, equipment and a product. The method comprises the following steps: acquiring receiving signals of two pieces of receiving equipment at the same moment and the same duration; establishing a parameter group sequence, wherein a parameter group comprises slice duration and grid size; and traversing the parameter group sequence from the first parameter group of the parameter group sequence based on the target area of the initial screening candidate position until the final candidate position is determined. According to the method, multiple rounds of candidate position screening can be carried out on the target area of the initial screening candidate position, the final positioning precision of the target is guaranteed, meanwhile, the calculated amount of target positioning is greatly reduced, and the positioning speed of the target is effectively improved.

The invention discloses a non-uniform hexahedral mesh generation method based on a region density distribution rule, and relates to the technical field of software development technologies, and the method comprises the following steps: S1, for a solving target, carrying out mesh generation by adopting triangular surface elements, and dividing regions according to different region densities to obtain the maximum and minimum mesh sizes corresponding to each region; s2, after the step S1 is executed, grid lines are sequentially generated in the Cartesian coordinate system according to the x dimension, the y dimension and the z dimension, optimization is started from the area with the minimum maximum grid size, and the maximum grid size is obtained; the method has the advantages that the conversion from a triangular surface element grid to a non-uniform hexahedral grid is realized through modules for identifying and calculating the density distribution of a triangular surface element region, generating three-dimensional grid lines of a Cartesian coordinate system, reconstructing a ray intersecting hexahedral grid, outputting the grid and the like; the problems of mesh generation and geometric target modeling of a finite difference time domain (FDTD) method are solved.

The invention discloses an emotion map generation method and device, a medium and a product, and relates to the field of data processing. According to the method, the key emotion problem in the community green space design can be accurately identified and solved through the influence relationship of the visual features on the emotion determined by the cognitive psychological experiment. Moreover, after a trained machine learning model is adopted to obtain emotion prediction values of different shooting angles of each shooting position, the emotion prediction values are averaged to obtain a comprehensive emotion value of each shooting position. And mapping the comprehensive emotion values to a projection coordinate system by adopting ArcMap software, constructing a fishing net model with a set grid size, averaging the comprehensive emotion values of all positions in the grids in the fishing net model, giving the average value as a grid emotion value to the corresponding grids, and adjusting the color attributes of the grids to obtain the fishing net. Therefore, an emotion map capable of accurately explaining emotion experience reasons and guiding green space design can be generated.

The invention discloses a method for constructing an overground and underground integrated geological dynamic grid structure, and belongs to the field of geological data grid structure construction.The method comprises the steps that geological space data are collected; presetting a grid size, and dividing the geological space data based on the grid size to obtain an initial grid model; clustering the geological spatial data by using a DBSCAN clustering algorithm, and removing noise data points to obtain a plurality of clustering regions; dynamically adjusting the grid size in each clustering region in the initial grid model based on the data point density of each clustering region to obtain a primary refined grid model; on the basis of gradient refinement of a clustering region junction in the primary refinement grid model, a secondary refinement grid model is obtained; and correcting data values of data points in a ground and underground transition zone in the secondary refined grid model by using convolution operation to obtain a final ground and underground integrated grid model. The problem that a traditional grid structure cannot adapt to spatial data distribution of different areas is solved.

The embodiment of the invention discloses a method and a device for generating geometric self-adaptive unstructured grids by using a deep learning method, relates to an unstructured grid automatic generation technology in the field of data analysis, and can generate geometric self-adaptive unstructured grids which are reasonably graded by using the deep learning method. And the analysis efficiency of the flow field in the computational fluid mechanics is improved. The method comprises the following steps: constructing a partial differential equation by utilizing a geometric shape, and calculating the equation to form a training sample database; constructing a deep learning network model by using the geometric shape and the equation numerical solution, and training the deep learning network model; generating a grid size distribution function by using the trained deep learning model and the new geometric shape of the to-be-divided domain, and further constructing a non-structural computational grid; carrying out DG solving on flow field distribution by using the non-structural computational grid; and performing post-processing on scalar, vector and tensor numerical solutions on the unstructured grid by utilizing the flow field distribution on the unstructured grid, and then performing flow field distribution visualization.

The invention relates to the field of unmanned aerial vehicle aerial survey, and particularly discloses a regional geology and landform processing method based on unmanned aerial vehicle aerial survey, and the method comprises the following steps: S1, carrying out the preliminary division of the geology and landform of a to-be-measured region through intelligent region planning, and forming a plurality of basic grids; s2, intelligently and dynamically adjusting the size of the grid; S2, performing terrain complexity evaluation: performing terrain complexity evaluation on each position in the to-be-detected region by using a terrain complexity evaluation function; s22, dynamically adjusting the size of the grid; through intelligent area planning and dynamic grid adjustment, the method can reasonably allocate aerial survey resources according to actual conditions, and in a complex or key area, grid division is finer so as to ensure high density and precision of data; and in a flat or secondary area, the grids are relatively sparse so as to improve the overall efficiency of aerial survey, and the dynamic adjustment mode avoids unnecessary repeated shooting and resource waste.

The invention relates to a building space truss construction method and system, a storage medium and electronic equipment, and the building space truss construction method belongs to the technical field of building manufacturing, and comprises the steps: obtaining an upper chord curved surface and a lower chord curved surface, determined by taking a roof curved surface as a reference surface, of a target building; taking the column grid size, the upper chord grid size and the lower chord grid size as input data of a parameterized model, and performing grid structure division on the upper chord curved surface and the lower chord curved surface in the parameterized model to obtain an upper chord, a lower chord and column node group vectors corresponding to the upper chord and the lower chord; performing crossover operation on the column node group vectors corresponding to the upper chord member and the lower chord member to obtain a net rack web member; the space truss of the target building is constructed on the basis of the upper chord member, the lower chord member and the truss web member, the whole process can be automatically carried out through a parameterized model and a corresponding software system, manual construction is not needed, and therefore material waste caused by manual construction is reduced, and the structural performance of the constructed truss is improved.

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 provides an unequal-precision point cloud data fusion method, and the method comprises the steps: enabling the point cloud data of different sources to have internal consistency after the preprocessing of unequal precision; benchmark conversion is carried out on point cloud data of different sources, so that the point cloud data have a unified plane and elevation system; setting a certain grid size according to the overall range of the point cloud data, and performing gridding on all the data; for each piece of grid data, finding out a grid corresponding to the grid data in different source point cloud data, finding out a plane distance of each point in the grid in the corresponding grid, and calculating an average value of height differences among the points as a system error of the different source point cloud data at the grid; weighing is carried out according to different source point cloud data precision, and a grid area data system error is calculated through a weighted average method.

The invention discloses a free grid layout conversion system and method based on a WEB end and a storage medium, and relates to the technical field of grid layout optimizing.The free grid layout conversion system comprises a user interface module, a layout analysis module, a grid self-adaption module, a response type design module, a grid optimization module and a data storage module, the modules are in electric signal connection; and the user interface module is used for providing an interactive interface and supporting real-time preview, so that a user can check the layout adjustment effect in real time. According to the method, the grid size and layout are dynamically adjusted, so that the flexibility and adaptability of the webpage layout are improved, the grid layout adaptive to different equipment and screen sizes can be automatically generated according to the input parameters and rules of the user, the webpage content can be ensured to keep good readability and layout effect in various environments, and the user experience is improved. The user experience is further improved, and the workload of customizing layouts for different devices is reduced.

The invention discloses a flexible reconfigurable three-dimensional space modeling and robot path planning method. The method comprises the following steps: 1) determining an adaptive grid size according to a minimum projection area of a minimum obstacle; 2) initializing a three-dimensional grid model and an obstacle recording matrix, and marking obstacle distribution in the matrix; and 3) dynamically expanding the collision detection range by combining the radius of the mechanical arm. And 4) initializing a starting point and a target point, carrying out coordinate normalization, and converting the starting point and the target point into grid indexes. 5) initializing a core data structure of the Dijkstra algorithm, wherein the core data structure comprises a priority queue, a distance dictionary, an access set and the like; and 6) traversing 26 neighborhood nodes and dynamically updating the path cost by adopting a node with the minimum heap maintenance path cost, and when a target point is accessed, backtracking a precursor node and outputting a shortest path sequence. By means of the method, efficient and accurate three-dimensional path searching is achieved, and the method is widely applied to the fields of robot path planning, intelligent navigation, three-dimensional map searching and the like.

The invention discloses a space-borne laser radar matching verification method based on spatial variability and a flow field. The method comprises the following steps: calculating the spatial variability of water color remote sensing data of each month by adopting a multi-scale grid; traversing the grid points, and searching the maximum grid size of which the spatial variability is smaller than a threshold value; calculating a space matching window and setting a time matching window according to the size of the maximum grid; measuring time and position according to the in-situ data, searching satellite-borne laser radar data by adopting a maximum space matching window and a set time matching window, and correcting the position of the in-situ data hour by hour according to the corresponding ocean current speed; searching a corresponding space matching window according to the corrected position, and matching the space matching window with satellite-borne laser radar data; and performing quality control on the matched spaceborne data to form a spaceborne laser radar-in-situ data matching pair. According to the method, the matching of the satellite-borne data and the in-situ data can be realized, and the reasonability of space matching window selection is improved.

The invention discloses a dynamic extension neighborhood operation path planning method for a satellite navigation land leveler. The method comprises the following steps: S1, delimiting the size of a grid; s2, selecting a working starting point; s3, generating a neighborhood near the current grid, and planning a neighborhood matrix; s4, judging whether the current neighborhood covers the farmland earthwork grid diagram or not, if so, turning to step S8, and otherwise, turning to step S5; s5, judging whether grids meeting non-overload and non-no-load conditions exist in the current neighborhood or not, if the grids meeting the judgment conditions exist in the neighborhood matrix, sequentially storing the grids into an array for temporary storage, otherwise, expanding the range of the searched grids, and returning to the step S3; s6, selecting the next working grid with the minimum turning angle theta; s7, updating the data; and S8, judging whether all the grids are leveled or not, if all the grids are leveled, completing global path planning, and otherwise, returning to the step S3. According to the invention, the invalid working time is shortened, the turning frequency and angle are reduced, and the leveling operation efficiency is improved.

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 a terrain model construction-oriented airborne LiDAR point cloud rapid extraction method, and relates to the technical field of airborne LiDAR point cloud data processing.The extraction method comprises the specific steps of S100, multi-scale grid point cloud preliminary screening: setting a small grid size and a large grid size. According to the method, the original ground point cloud is subjected to double gridding thinning, the data volume of the point cloud is effectively reduced, rich topographic feature information is provided for subsequent global topographic model construction, and compared with a traditional single gridding thinning method, the point cloud data of a region with severe topographic relief can be more accurately reserved by the method, and the method has the advantages of being high in robustness, high in robustness and the like. Meanwhile, point cloud boundary points and severe topographic relief areas are extracted through large-grid-size point cloud extraction and serve as seed points for subsequent construction of the global topographic model, and the construction efficiency and precision of the topographic model are further 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 textile defect detection, in particular to a textile defect detection method based on image processing, which comprises the following steps: acquiring a preprocessed fabric graph in history, and marking a defect type for the fabric graph; for any fabric graph, calculating a period by using an autocorrelation function so as to determine a grid size; dividing fabric diagrams of different defect types in history according to grid sizes, extracting grids at defect positions as defect grids, and obtaining a spectrogram of the defect grids; and dividing the real-time fabric diagram obtained in real time according to the grid size to obtain real-time grids, obtaining a spectrogram of each real-time grid, and respectively calculating a frequency spectrum difference between the spectrogram of any real-time grid and the spectrogram of any defect grid to complete defect detection. According to the technical scheme, the precision of the defect detection result of the textile can be improved.

The invention discloses a flexible reconfigurable robot path planning method for three-dimensional space dynamic obstacle avoidance. The flexible reconfigurable robot path planning method comprises the following steps: 1) determining a self-adaptive grid size according to a minimum projection area of a minimum obstacle; 2) initializing a three-dimensional grid model and an obstacle recording matrix, and marking obstacle distribution in the matrix; and 3) dynamically expanding the collision detection range by combining the radius of the mechanical arm. And 4) initializing a starting point and a target point, carrying out coordinate normalization, and converting the starting point and the target point into grid indexes. And 5) pre-calculating a Dijkstra initial path to obtain a global optimal reference path. And 6) monitoring an emergent obstacle in real time, if the emergent obstacle appears, triggering a local path re-planning mechanism, performing local path correction in an affected area by applying an A * algorithm, and quickly calculating a new feasible path. And skipping to step 7). And if not, advancing according to the global optimal reference path. And 7) splicing the path obtained by the A * algorithm with the original path, advancing according to the path, and returning to the step 6) if obstacles still exist.

The invention relates to the technical field of book recommendation, and discloses a personalized recommendation method and system for library books, and the method comprises the steps: obtaining book RFID tag circulation data and user behavior data in a book borrowing process of a user; performing grid division on the library according to a preset grid size, analyzing the interest degree of a user for books in each grid region, and constructing a book interest thermodynamic diagram; according to the book interest thermodynamic diagram, hot spot areas with interest degree values larger than a preset interest degree threshold value are extracted, recommended books are screened out from the hot spot areas through a preset book recommendation model, and a first recommended book set is obtained; based on the borrowing condition of the user for the first recommended book set, optimizing the recommended books through a preset recommendation optimization model to obtain a second recommended book set; the method can adapt to the dynamic change of the interest of the user in the book recommendation process, improves the accuracy and timeliness of book recommendation, and achieves the personalized recommendation of the user.

The invention provides a game scene editing method and device, equipment and a storage medium, and relates to the technical field of games. The method comprises the following steps: displaying a game editing interface on a graphical user interface, wherein the game editing interface comprises a to-be-edited game scene; determining a first scene component; a plurality of first grids are generated in the game scene to be edited according to the first component size of the first scene component or according to the first component size of the first scene component and a preset grid multiple, the first grids are configured with first grid sizes, and the first grid sizes correspond to the first component sizes; responding to a moving instruction for the first scene component, and controlling the first scene component to move in the to-be-edited game scene; determining a first target grid from the plurality of first grids according to the position information of the first scene component; and adsorbing the first scene component to the first target grid. According to the method, the creation freedom degree and the game experience feeling of players can be improved.