98 results about "Grid file" patented technology

The invention relates to the technical field of computational fluid mechanics data post-processing, and particularly discloses an OpenFOAM unsteady state simulation result-oriented boundary surface physical quantity calculation method, which comprises the following steps of: setting a working root directory, reading a grid file and establishing an example grid; accessing a time control function, and reading simulation time information of each time folder; establishing a global blank file to store boundary surface physical quantity results, first line writing time and physical quantity variable names at all moments; sequentially reading field quantity data required by calculation in the time folder; appointing and searching the name of a concerned boundary surface, creating a scalar field magSf of the boundary surface, and calculating and storing the area of a grid surface element; defining and initializing physical quantities and intermediate quantities of boundary surfaces, calculating physical quantities and intermediate variables of surface elements of each grid, and traversing the grids; and writing a result from the second line of the global file according to a time sequence, and traversing all times. By the adoption of the method, key data at all moments can be accurately extracted, errors and complexity caused by manual processing are avoided, and the calculation efficiency is greatly improved.

The invention discloses a CFD calculation method and system based on a neural network and adaptive parameter optimization, and belongs to the technical field of computational fluid dynamics. Initializing a flow field by reading calculation parameters and a grid file; solving the N-S equation, recording solving parameters and outputting an intermediate flow field; inputting the intermediate flow field into a pre-trained physical constraint neural network, sequentially applying boundary condition hard constraint and soft constraint based on control equation residual error, and outputting a corrected flow field; based on the convergence dynamic characteristics and the solving parameters, outputting a parameter adjustment amount through a strategy network of reinforcement learning training, and dynamically optimizing the solving parameters; and taking the corrected flow field as an initial flow field of the next iteration step, updating solving parameters, and circularly executing until convergence. According to the method, the physical prior is embedded into the neural network, intelligent self-adaptive regulation and control of solving parameters are realized through reinforcement learning, and the prediction precision and convergence efficiency of complex flow simulation are remarkably improved.

The invention relates to the technical field of plasma physical simulation, in particular to an SOLPS simulation method suitable for a variable specific impulse magnetic plasma electric propulsion device. According to the technical scheme, the method comprises the following steps of parameter obtaining, wherein simulation parameters of the electric propulsion device are obtained; file generation: based on the simulation parameters, generating input files required by SOLPS simulation through an external program, including a device geometric file, a fluid grid file, a power source file and a particle source file; and SOLPS calculation: importing the input file into an SOLPS program, generating a calculation grid by the SOLPS program, and performing plasma simulation calculation. According to the method, the adaptability problem of application of the SOLPS program in the variable specific impulse magnetic plasma linear electric propulsion device is solved, end-to-end integration from parameter input to result visualization is achieved, energy deposition distribution can be accurately described, and the simulation accuracy and efficiency are remarkably improved.

The invention relates to the technical field of electromagnetic scattering characteristic analysis and modeling, in particular to a scattering center establishing and correcting method based on a geometric model and reference data. The method comprises the following steps: inputting a target geometric or grid file, and extracting geometric features of a plane, an edge and a curved surface to construct an initial scattering center model; inputting electromagnetic scattering reference data of the same target, solving a scattering center correction coefficient by adopting a pseudo-inverse or Tikhonov regularization method, and optimizing an initial model; and outputting an optimized scattering center model with angle and frequency expansibility. According to the method, the electromagnetic scattering characteristics of metal and coating type complex structure targets in single-station, double-station and full-polarization scenes can be uniformly represented, and the problems of insufficient model precision, incomplete types and high data dependence degree in the prior art are solved; the method achieves the excellent effects that the RCS root-mean-square error is smaller than 2dB and the high-resolution imaging structure similarity exceeds 90% in typical target modeling, and is suitable for the fields of target characteristic simulation and characteristic extraction and recognition.

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 provides a three-dimensional flow field simulation method and system based on a clean air conditioner. The method comprises the following steps: constructing a grid historical database of an electronic plant; according to the grid historical database, an AI pre-judgment model is trained, and the AI pre-judgment model is based on a random forest algorithm superposition space attention mechanism; obtaining dynamic scene features of the electronic plant, inputting the dynamic scene features into the trained AI pre-judgment model, and outputting high-risk area coordinates and partition grid parameters; then generating a three-layer multi-scale grid of a macroscopic layer, a mesoscopic layer and a microscopic layer, and coupling and transmitting data by adopting an overlapping grid technology to obtain a grid; the method comprises the following steps: performing independence verification on a grid, and outputting a final grid file, specifically, through AI learning and a multi-scale technology, realizing distribution of grid resources according to needs, not only solving the contradiction that the traditional grid is too dense to waste computing power and too sparse to be insufficient in precision, but also capturing the association of microscopic airflow and macroscopic airflow.

The invention relates to the technical field of marine environment simulation and risk assessment, in particular to a calculation method for simulating a blockage particle trajectory. The calculation method for simulating the particle trajectory of the blockages comprises the steps that a wave flow coupling model is constructed according to a grid file, and the grid file is constructed through a surface water simulation system; in a particle tracking module of the wave-flow coupling model, adjusting particle parameters of blockage particles according to the dynamic characteristics of the blockage; operating the particle tracking module to obtain simulated trajectory data of the blockage particles after particle parameter adjustment; and according to the simulated trajectory data, counting the number and probability of the blockage particles entering the predetermined range of the nuclear power station water intake so as to predict the blockage risk of the nuclear power station water intake. According to the calculation method, the drifting trajectory of the blockage object can be accurately simulated, the risk that the water intake is blocked is predicted, and a reliable quantitative basis is provided for water intake safety early warning and protection decision making of the nuclear power station.

The invention discloses a flow-induced noise integration method, device and equipment based on a finite element method and a storage medium, and relates to the technical field of noise integration, and the method comprises the steps: obtaining an aerodynamic noise source based on a sound source type and a time domain flow field file; transmitting an aerodynamic noise source from the fluid grid to the acoustic grid based on the acoustic grid file and a data mapping algorithm to obtain a time domain sound source; converting the time domain sound source into a frequency domain sound source based on a time-frequency conversion strategy; and constructing a numerical model based on the frequency domain sound source, and solving the numerical model to obtain a sound propagation result. The problems that in a traditional mixing method, due to the fact that a plurality of independent modules exchange large-scale intermediate data through a file system, the process is split, reading and writing are time-consuming, and user operation is tedious are solved, integrated solving of aerodynamic noise simulation from sound source extraction to sound field calculation is achieved, user operation steps are simplified, and user experience is improved. Therefore, on the premise that the calculation precision is guaranteed, the overall execution efficiency and the automation level of the simulation process are remarkably improved.

The application provides a kind of ultra-low orbit satellite whole process coupling thermal simulation method and system.The method comprises: constructing whole process coupling thermal simulation system;In control layer, the geometric grid file and orbit attitude parameter file of satellite are imported by input setting interface, and simulation time and task flow time sequence are set;The control layer passes the imported parameters to the calculation layer, and starts time iteration calculation;In the calculation layer, three calculation modules are coupled, and the calculation results are transmitted to the data layer for integration;The data layer transmits the integrated data file to the output display interface to show the simulation results in the form of numerical value, curve or cloud picture.The ultra-low orbit satellite whole process coupling thermal simulation method proposed by the application constructs an integrated thermal simulation system that integrates multiple core calculation modules, while supporting numerical, curve, cloud picture and other forms of visual output, which facilitates designers to intuitively and comprehensively evaluate the satellite thermal management effect.

The application discloses an automatic verification and evaluation method and system for simulation effect of an air quality model, and comprises the following steps: determining meteorological stations and air quality stations in a simulation area range based on the simulation area range, and obtaining corresponding formatted monitoring data; selecting the nearest grid point in a grid file corresponding to the monitoring stations based on the longitude and latitude of each station, batch extracting simulation values in the corresponding grid, and obtaining formatted simulation data; matching and merging the monitoring data and the simulation data, and obtaining a corresponding merged file; calculating the merged file, and obtaining statistical index results of different parameters of each station; and performing statistical analysis, time series analysis and spatial distribution analysis on the statistical index results. The application can realize rapid extraction, analysis and comparison of simulation results, improve the verification efficiency, reduce the need for human interference and subjective judgment, provide reliable quantitative analysis, and improve the objectivity and repeatability of the verification.

The invention relates to the technical field of petroleum and natural gas exploration and development, and provides a well layer data splitting method. Comprising the steps of 1, obtaining a standard well name; 2, generating. Vol and. Ev files of a well without testing and testing data; 3, generating a virtual well name for the well with the testing and testing data, and generating. Trj,. Vol and. Ev files of the virtual well; 4, generating. Net and. Lyr data files, adding. INIT and. GRID files, and making a. SCH file; 5, adding the. SCH file into a model file, performing operation by applying Eclipse software, and updating the model; 6, performing result post-processing on the. RSM obtained after model calculation to obtain final layer well group index data; according to the method, the potential area is quantitatively found, the potential well layer can be given, the analysis efficiency is improved, and the scheme implementation effect is improved.

The invention provides a dam internal structural surface automatic identification method and device, and relates to the technical field of hydraulic engineering structure analysis and computational mechanics, and the method comprises the steps: reading a dam finite element grid, and defining boundary control parameters of a target structural surface position; the method comprises the following steps of: identifying a connecting surface simultaneously containing a first type of boundary nodes and a second type of boundary nodes in a model, and performing iterative expansion on the connecting surface by utilizing a topology propagation algorithm to form a continuous connecting surface set; positioning all unit surfaces formed by the first type of boundary nodes based on the set, and integrating the unit surfaces to obtain a target structural surface; and finally, outputting a multi-format grid file through coordinate transformation. According to the method and the device provided by the invention, the node boundary type is defined, the topology propagation algorithm is utilized to automatically identify and iteratively expand the connecting surface, the identification precision is improved, the processing efficiency is improved, the efficient and full-automatic identification of the internal structural surface of the dam is realized, and a core technical support is provided for structural analysis.

The invention discloses a dynamic grid local re-subdivision method based on an initial model and a grid, and belongs to the technical field of dynamic grids. The method comprises the following steps: reading an initial model file, and setting the initial displacement of a moving area to be 0; subtraction operation is carried out on the re-subdivision area and the moving area in the model; copying geometric data of the re-subdivision area and deleting the geometry of the original re-subdivision area; mesh generation is carried out on the whole preprocessed model, and an initial mesh file containing a complete computational domain is generated; reading the initial model file, an initial grid file generated in the first time step and the movement amount of the current time step; performing class operation; repairing the model; carrying out initial grid processing; carrying out local re-subdivision and boundary calibration on the grid; and generating a new grid file. According to the method, the calculation overhead is reduced, the simulation efficiency is improved, the grid parameter mapping efficiency is improved, the geometric gap or penetration risk is eliminated, and the core problems of low efficiency and geometric integrity damage in the prior art are solved.

The application provides a space-time grid file system, comprising: a grid configuration table corresponding to a file configuration table, the grid configuration table comprising a hierarchical level of a dissected grid and a grid code, the hierarchical level of the dissected grid and the grid code indexing disk sector positions where data associated with each grid is stored, and the data being accessed by querying the disk sector where the data is located in the grid configuration table through the grid code. By setting the grid configuration table corresponding to the file configuration table, the disk data is directly indexed, and the database retrieval is not needed for the file system access, so that the purpose of reducing the system burden and improving the query efficiency is achieved.

The invention discloses a method for fusing OpenFOAM unsteady state simulation result boundary surface Euler field domain data, which comprises the following steps of: firstly, setting a current OpenFOAM working root directory, reading a grid file and creating an example grid; creating global blank file storage boundary surface Euler field domain data; writing a variable name in the first line of the global blank file; specifying and searching names of concerned boundary surfaces, and sequentially reading Euler field domain data of a plurality of boundary surfaces in the time folder; and sequentially writing each boundary surface Euler field domain data corresponding to the variable name into the global blank file according to the boundary surface grid number, and after data reading, fusion and output are completed, printing information on a screen and prompting that the operation is completed until the operation of the program is finished. According to the method for fusing the OpenFOAM unsteady state simulation result boundary surface Euler field domain data, boundary surface physical parameter spatio-temporal evolution data can be efficiently obtained, the processing efficiency is remarkably improved, and a one-stop solution is provided for post-processing of the OpenFOAM unsteady state simulation boundary surface data.

The invention relates to a finite element simulation grid-based reversible deformation design method and system for an investment casting. According to the method, a coordinate ID matching algorithm is utilized, a mapping relation is established between displacement data in an analyzed grid node displacement data file and corresponding nodes in an initial grid file, and an intermediate grid file containing casting deformation data is generated; by using a data mapping algorithm, reversely assigning the intermediate grid file to the initial grid file, and reconstructing to obtain a corrected grid file containing a reversible deformation feature; and finally, converting the corrected grid file into a three-dimensional geometric model as a reversible deformation design model for investment casting mold manufacturing. Compared with the prior art, the method has the advantages of simple process, high design precision and the like.

The application discloses a kind of based on autonomous grid multi-solver automation simulation method, comprising: reading and analyzing simulation configuration file, obtains target solver type, physical model, working condition, boundary mapping rule and solving control parameter;Read the initial grid file generated autonomously, determine compatibility requirements according to target solver type, format adaptation or version conversion is carried out to initial grid file, and adapted grid file is generated;Based on target solver type, corresponding script template file is called, and parameterized filling is carried out in combination with the foregoing each parameter and grid information, to generate control script;Corresponding solver execution program is called, adapted grid file is loaded and control script is executed to start calculation, and result file containing convergence state information is obtained;Result file is analyzed and processed, key physical quantity data is extracted and engineering evaluation index is calculated, and structured simulation result data is output.

The application discloses a method for calculating volume integral of field quantity in OpenFOAM unsteady simulation result, which comprises the following steps: firstly, setting the current working root directory of OpenFOAM, reading the grid file discretely stored by OpenFOAM and creating the grid of the example; secondly, accessing the time control function and reading the time information; thirdly, creating the global blank file under the working root directory and storing the calculation result of the volume integral; fourthly, writing the time variable name and the variable name corresponding to the volume integral of the physical quantity to be calculated by the program in the first line of the global blank file; fifthly, reading the field quantity data required for calculating the volume integral of the physical quantity in sequence; sixthly, defining and calculating the physical quantity and the intermediate physical quantity concerned by using the regular expression; seventhly, defining the region concerned, calculating the product of the physical quantity concerned and the corresponding grid volume; and eighthly, writing the calculation result in the time sequence and completing the result output by traversing all the time points. The application can automatically process the multi-time point data in batches, greatly reduces the manual operation cost and realizes the efficient acquisition of the time evolution law of the volume integral of the field quantity.

The invention discloses a terrain generation and import system and method based on geographic raster data. The system comprises a raster format data analysis module used for extracting an elevation matrix and size parameters of TIFF format digital elevation model data; the three-dimensional grid generation module is used for generating a regular triangular grid based on the elevation matrix; the file standard format export module is used for serializing the grid data into an OBJ format and generating a matched MTL material file; and the dynamic import module is used for analyzing an OBJ file through an Assimp library and creating interactive terrain assets in an unreal engine 5. The problems of low efficiency, precision loss, lack of real-time performance and complex operation in traditional topographic data processing are solved, and real-time visualization of topographic data is realized by automatically analyzing TIFF format DEM data, converting the TIFF format DEM data into an OBJ format three-dimensional model and dynamically importing the OBJ format three-dimensional model in an unreal engine 5. The system improves the automation degree and application efficiency of terrain processing, and is suitable for the fields of geographic information systems, game development, virtual simulation and the like.

The invention belongs to the technical field of rock mechanics and geological engineering, and aims to solve the problems of insufficient precision, low preparation efficiency and high cost of natural joint morphology simulation at present. The preparation method of the rock standard component for the natural joint test comprises the following steps: collecting a to-be-tested rock block, and cutting to obtain a rock test block for later use; constructing point cloud data based on a wavelet basis function and a random phase; generating specification grid points from points in the point cloud data, and calculating a height value corresponding to each grid point to obtain a grid file; checking whether the simulated natural rough joint surface has statistical characteristics of natural joint fluctuation morphology or not based on normal distribution; and importing the grid file into a rock carving machine to generate a carving path, and carrying out rough carving and fine carving to obtain the rock standard part for the test. According to the invention, the multi-scale roughness characteristic and anisotropy of the natural joint can be efficiently and accurately simulated, and a high-quality standardized test piece is provided for a rock mechanical test.

The invention relates to a topological decoupling-based complex component crystal plasticity finite element cross-scale modeling method, which comprises the following steps of: firstly, carrying out macroscopic finite element grid division on a geometric model of a component to be analyzed to export an isolated grid file, and then establishing an RVE voxel grid based on microstructure source data of a material of the component to be analyzed; calculating the geometric centroid coordinate of each unit after macroscopic finite element grid division, and judging the attribution crystal grain ID of each geometric centroid coordinate in the RVE voxel grid through a centroid mapping algorithm to generate a unit set mapping file; then calculating a rotation matrix for each crystal grain ID based on crystal orientation distribution data, combining the rotation matrix with crystal plasticity constitutive model parameters to generate a physical attribute library file, and finally performing semantic analysis and recombination on an isolated grid file to generate a CPFE cross-scale simulation model. According to the method, macroscopic finite elements and microscopic voxel grids are decoupled, the problem that complex geometric expression precision and microstructure fidelity are difficult to consider at the same time is solved, and CPFE cross-scale accurate modeling of complex components is achieved.

The invention relates to a simulation method for the influence of a radiation environment on the signal transmission characteristics of a microsystem device, and the method comprises the following steps: S1, constructing a three-dimensional model of the microsystem device, and splitting the three-dimensional model into independent grid files according to the types of materials; s2, setting a particle type, energy and an incident region in Geant4, simulating particle bombardment, and outputting single-particle energy deposition data, energy deposition distribution and linear energy transfer (LET) data; s3, establishing a material damage model in MATLAB, and calculating the post-radiation conductivity sigma (t) and relative dielectric constant epsilon r based on particle and substance action mechanism analysis; and S4, updating the material parameters calculated in the step S3 to a device model in the HFSS, simulating a signal transmission characteristic curve in a radiation environment, and analyzing an influence mechanism of radiation on signal transmission. The electrical performance of the micro-system device can be accurately evaluated in different radiation environments, a scientific basis is provided for design and optimization of the micro-system device in a high-radiation environment, and the anti-radiation capability and reliability of the device are effectively improved.

The application relates to an electromagnetic simulation grid generation method and device and an electronic device, wherein the electromagnetic simulation grid generation method comprises the following steps: cutting a GDSII layout file according to a process technology file to generate a two-dimensional layout file; stretching the two-dimensional layout file according to the process technology file to generate a three-dimensional geometric model, and establishing a mapping relationship between a two-dimensional graph and a three-dimensional entity; wherein the two-dimensional graph contains a graphic label added for a target object; determining a target three-dimensional entity corresponding to the graphic label of the target object according to a netlist file in combination with the mapping relationship, and creating a port surface at an endpoint of the target three-dimensional entity; constructing an air box surrounding the three-dimensional geometric model; adding an electromagnetic grid to a region represented by each three-dimensional entity, the port surface and an air domain of the air box of the three-dimensional geometric model to generate an electromagnetic simulation grid file, so as to solve the problem of too much manual intervention in the conversion process from a GDSII layout to a simulation grid.

The invention discloses a batch CFD data analysis method and device and a storage medium, and belongs to the technical field of computer-aided engineering. According to the method, based on a preset standardized naming rule, standardized naming is conducted on model components and boundary conditions of a geometric model, and the geometric model obtained after standardized naming is exported as a grid file capable of being recognized by a CFD solver; obtaining a CFD solving macro command template containing replaceable variables, dynamically modifying template variables according to the grid file and naming of the grid file, generating a special macro command, performing batch calculation, and exporting a result file according to a set format; and automatically reading all result files, summarizing and analyzing the data according to a naming analysis model and working condition information, and automatically generating a visual chart and an analysis report. According to the method, through standardized naming and scripted control, unattended operation automation of the whole process from the geometric model to the analysis report is achieved, and CFD simulation efficiency and traceability are remarkably improved.

The present application belongs to the technical field of rock mechanics and geological engineering, and aims to solve the problems of insufficient simulation accuracy, low preparation efficiency and high cost of natural joint topography. A preparation method of rock standard parts for natural joint test is provided, which comprises the following steps: collecting rock blocks to be tested, cutting to obtain rock test blocks for standby; constructing point cloud data based on wavelet basis function and random phase; generating standard grid points in the point cloud data, calculating the height value corresponding to each grid point, and obtaining a grid file; testing whether the simulated natural rough joint surface has the statistical characteristics of natural joint fluctuation topography based on normal distribution test; importing the grid file into a rock carving machine to generate a carving path, performing rough carving and fine carving, and obtaining a rock standard part for test. The present application can efficiently and accurately simulate the multi-scale roughness and anisotropy of natural joints, and provide high-quality standardized test pieces for rock mechanics tests.

The invention discloses a cementing displacement numerical simulation method based on a dynamic isolation plug model, and relates to the technical field of petroleum and natural gas engineering, and the method comprises the following steps: using three-dimensional modeling software, establishing a wellbore model and a representative casing and annulus model, carrying out grid division, generating a grid file, and inputting the grid file into a computational fluid mechanics solver; in a computational fluid mechanics solver, starting a transient solver and a plurality of models; defining parameters and density of each fluid phase through a custom function, setting an injection sequence of each fluid phase, and setting boundary conditions of a computational domain; establishing an isolation plug thin grid model, and adding the isolation plug thin grid model into a computational domain; compiling a user-defined function, defining rigid body motion of the isolation plug, and updating the position of the isolation plug in a computational domain and surrounding grids; and step-by-step time advancing is carried out on the well cementation process, a pressure field, a speed field, phase distribution and an isolation plug movement track evolving along with time are output, and the dynamic change rule of well cementation replacement efficiency and the isolation effect is obtained.

The application discloses a mask-guided image mosaic line generation method and device, computer equipment and a storage medium. The method comprises the following steps: generating a mask image file and an initial mosaic line grid file; calculating the position of the image range of an image to be mosaicked in the mask image file; generating a mark image file of each image to be mosaicked; according to the mask intersection of any two intersecting images to be mosaicked, splitting the images and updating the mosaic line grid file; assigning a pixel value to each pixel in the mosaic line grid file until the traversal of all intersecting images is completed; and performing vectorization on the mosaic line grid file to generate a mosaic line vector file. The application improves the generation efficiency and accuracy of the image mosaic line.

The application discloses a structured grid radiation simulation method based on optical path ordering, and belongs to the field of radiation transmission simulation. The method reads and analyzes a structured grid file, constructs a structured data set, discretizes a solid angle, calculates the projection value of the geometric center of all units on the unit vector of each discrete direction, sorts the units according to the projection value, and obtains the unit calculation sequence along the actual propagation path of the light. The radiation transfer equation in each unit is solved according to the sequence, the calculation result of the upstream unit is transmitted to the downstream unit through the connecting surface as the incident boundary condition, and the global input radiation is converged through iterative calculation. The application ensures that the calculation sequence is consistent with the real propagation path of the radiation energy by optical path physical ordering, eliminates the non-physical reverse radiation transmission, improves the calculation accuracy and convergence, and can directly process general engineering grid data, thereby being convenient for integrated application.

The application discloses a digital core micro-pore area voxel grid coarsening method based on multiple convolution calculation, which comprises the following steps: 1, importing an original three-dimensional scanning image; 2, for the macro-pore area voxel, using a watershed algorithm in image processing to segment the macro-pore area, and extracting a pore network based on a segmentation matrix; 3, performing multiple convolution calculation on the micro-pore area voxel data, and performing coarsening marking on the micro-pore area voxel mapped by the convolution value meeting the coarsening condition; 4, generating grid cell information and connection relationship of the micro-pore area after coarsening by using the micro-pore area matrix marked by coarsening and the macro-pore area segmentation matrix; and 5, combining the pore network of the macro-pore area with the grid cell of the micro-pore area to generate a calculation grid file of a digital core hybrid model. The technical effect of the application is that the number of calculation grids of the micro-pore area is reduced under the premise of ensuring the accuracy of simulation results, and the calculation efficiency is significantly improved.

The invention discloses a three-dimensional grid vertex coloring method, device and equipment based on an implicit representation and separated reflection color network. The method comprises the steps of collecting a multi-view data set of an object to be colored, estimating a camera pose through a multi-level view structure recovery method, and determining a standard sampling cubic domain and a grid file; training a NeuS framework to obtain a model containing a geometric branch network and a separated reflection color network; grid vertex coordinates and triangular surface indexes are extracted through a geometric branch network, a color network processes the vertex coordinates to obtain an RGB vertex set, and after gravity center interpolation smooth coloring is conducted, a color three-dimensional grid with explicit vertex colors is generated and written into a file; coloring is completed based on the file. According to the method, UV expansion and illumination modeling are not needed, accurate coloring is achieved through the separated color network, the color grid rendering efficiency is high, compatibility is high, and the problems of texture dislocation and the like can be effectively avoided.