75 results about "Unstructured mesh" patented technology

The embodiment of the invention relates to the technical field of data modeling analysis, and discloses a tunnel rock stratum large deformation analysis method and system based on three-dimensional modeling, and the method comprises the steps: collecting initial three-dimensional point cloud data through three-dimensional laser scanning; constructing an initial three-dimensional geologic model containing spatial morphological characteristics and a rock stratum interface geometric topological relation through space coordinate matching and curved surface reconstruction; finite element unstructured mesh generation is carried out on the model, and a rock stratum mechanical analysis model is established in combination with physical and mechanical parameters; inputting construction parameters and process information, activating unit nodes in sequence, and solving a force balance equation to simulate stress distribution; identifying a potential deformation area through iterative calculation, and adjusting boundary conditions to predict a deformation trend; the three-dimensional space distribution cloud atlas, the time evolution curve and the position marks are fused to generate multi-view deformation early warning information, the accuracy and the visualization degree of tunnel rock stratum deformation analysis are improved, and support is provided for construction safety.

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

The invention discloses a magnetotelluric sounding measurement method for multidirectional aggregation observation, and the method comprises the steps: building a novel device layout: designing a reasonable measurement point layout scheme according to geological features and electromagnetic response distribution; processing data and establishing an unstructured grid: acquiring an electromagnetic field component, completing data acquisition, and inputting the processed electromagnetic field data into an unstructured grid model; impedance tensor calculation: on the basis of the unstructured grid, performing impedance calculation by utilizing multi-component electromagnetic field data and combining an interpolation idea, and constructing an extended impedance tensor of an electromagnetic field component to obtain an impedance value component; and three-dimensional inversion and visualization: performing three-dimensional inversion through a vector finite element method to obtain an inversion result. According to the method, richer observation data are provided for deep geologic structure inversion.

The invention discloses a coastal disaster forecasting method and system. The method comprises the following steps: acquiring data of a target near-shore area, and carrying out data preprocessing and unstructured grid division; generating an open sea drive-near-shore response sample library by using the coupling numerical model; extracting the dominant lag step number of each open-sea factor for each node near the shore through mutual information analysis, performing time rearrangement on key factors, splicing with static geographic features, and constructing a structured input tensor; training a graph attention space-time fusion model taking the unstructured grid as a graph structure; in real-time forecasting, an implicit state assimilation mechanism based on observation errors is introduced, and the model state is dynamically corrected to achieve self-adaptive rolling forecasting. According to the invention, high-precision and high-efficiency near-shore disaster real-time early warning is realized.

The invention discloses an aircraft grid generation method and device based on conformal mapping and topological segmentation, equipment and a storage medium, and relates to the technical field of computational fluid mechanics, and the method comprises the steps: generating a surface unstructured grid according to an aircraft model, carrying out the conformal mapping to a parameter domain plane grid through Ricci flow, and calculating the compression ratio of the surface unstructured grid; if the compression ratio is smaller than a first threshold value, extracting a contour line corresponding to a second threshold value; positioning a triangular grid corresponding to the isoline discrete points in the parameter domain plane grid by using a spatial partitioning algorithm, inserting the discrete points into the grid according to the relationship between the vertex distance and the edge distance, forming a closed internal boundary through a one-dimensional boundary recovery operation, and determining a corresponding region; the area is inversely mapped back to the three-dimensional surface, the surface grid is updated, the mapping and judging steps are repeated until the compression ratio meets the requirement, and the parameter domain plane grid is set as a target aircraft grid, so that the efficiency of generating the aircraft grid is improved.

The invention discloses an aero-engine complete machine full-three-dimensional performance simulation method and device and a storage medium. The method comprises the steps that firstly, a complete machine full-three-dimensional geometric model of all main watershed components from an inlet to an outlet of the aero-engine is constructed under a unified coordinate system and processed, and a single-channel model is formed through periodic simplification; grid division is carried out by adopting a hybrid grid strategy, structured grids are divided for the rotating part, and unstructured grids are divided for the complex structure; secondly, in a single universal CFD solver, specific turbulence and combustion models are configured, a Stage interface is adopted to carry out data transmission between components, high-precision numerical simulation is executed, and solving is carried out based on a strict convergence criterion; and finally, extracting performance parameters from a simulation result for evaluation. According to the method, the integral high-precision simulation of the whole machine in a single solver environment is realized, the problem of low parameter transmission precision among parts in a traditional method is effectively solved, and the engineering-level simulation precision can be achieved.

The invention relates to the technical field of marine environment numerical simulation, in particular to a near-shore typhoon wave refined simulation method based on terrain adaptive grids and parameter dynamic correction, and the method comprises the steps: obtaining basic data and simulation parameters of a target sea area, constructing a computational domain and an initial grid, and constructing a target sea area; the initial grid is an unstructured grid fused with multiple physical constraint factors; performing optimization processing on the initial grid based on a numerical stability criterion to obtain a final calculation grid meeting a calculation convergence requirement; establishing a bidirectional coupling model, and applying the final computational grid to the bidirectional coupling model; carrying out localization iteration calibration on key physical parameters of the bidirectional coupling model to obtain an optimal parameter set; and carrying out typhoon wave process simulation calculation and constructing a typhoon wave feature database by utilizing the final calculation grid and the optimal parameter set, and realizing high-precision simulation and prediction of the typhoon wave process by constructing an adaptive optimization grid, a bidirectional coupling model and a parameter localization calibration mechanism.

This invention discloses a method, system, and medium for data mapping between a solid geometric model and an unstructured mesh, relating to the field of nuclear reactor core coupling programming technology. By converting the CSG geometric entity into a coupling intermediate mesh (unstructured mesh), and using the coupling intermediate mesh as an intermediary between the CSG geometric entity and other professional unstructured meshes, high-precision coupled data transmission and coupled calculation between the CSG geometric entity and other professional unstructured meshes can be achieved through mesh mapping and other methods, based on the geometric correspondence between the CSG geometric entity and the coupling intermediate mesh.

The application provides a structure grid-based unstructured grid division method and an electronic device. The method determines a calculation domain range of a combustion detonation simulation task, performs surface grid division on a geometric model to obtain a geometric surface representation grid, generates a structure grid according to the geometric surface representation grid and the calculation domain range, performs simulation calculation on the structure grid, determines a grid encryption parameter according to a simulation calculation result of the structure grid, generates an unstructured grid through the grid encryption parameter, the calculation domain range and the geometric surface representation grid, realizes the structure grid-based unstructured grid division, can replace a trial-and-error iterative optimization or a complex dynamic self-adaptive process of the unstructured grid, improves the generation efficiency of the unstructured grid and guarantees the generation quality of the unstructured grid, balances the calculation efficiency while meeting the high-precision requirement, and is suitable for a large-scale parallel environment.

The invention discloses a complex mountain wind power plant wake flow simulation method and system based on computational fluid mechanics, and relates to the technical field of computational fluid mechanics and engineering.The complex mountain wind power plant wake flow simulation method comprises the steps that a wind power plant reference frame model is built based on digital elevation model data of the complex mountain terrain where a target wind power plant is located and basic parameters of wind power facilities; then constructing a three-dimensional unstructured grid computational domain of the target wind power plant; taking a three-dimensional unstructured grid computational domain as a basic environment, generating an inlet turbulence condition, and setting a wind turbine actuating line model by utilizing computational fluid mechanics simulation software based on wind power facility basic parameters; solving the wind turbine actuating line model to obtain a simulation data set; and verifying the simulation data set based on the actual observation information, and carrying out quantitative analysis simulation on the wake flow development condition of the target wind power plant based on the verified simulation data set. According to the invention, the technical problems of high data acquisition requirements and low flexibility and stability of traditional numerical simulation are solved.

The application discloses a kind of urban flood simulation methods based on unstructured grid coupling SWMM and FVCOM model, adopt inspection well simplified method to characterize the exchange process of surface water flow and underground pipe network water flow, unstructured grid FVCOM is main program, SWMM is called by its subprogram.First, by using SWMM model and unstructured grid FVCOM model given basic data, the model of underground pipe network water flow and surface water flow is established respectively;Establish the topological relationship of SWMM pipe network node and FVCOM grid space;At the time step that needs to be coupled, obtain the head of pipe network water flow and surface water head of inspection well node pipe network, and calculate the exchange flow, according to the updated head and flow, simulate surface water and pipe network water flow respectively;Time progression, finally complete the whole urban flood simulation process.The application can accurately simulate the coupling effect of urban pipe network water flow and surface water flow, realize the simulation of urban flood with tortuous coastline or complex building profile.

The invention discloses an unstructured grid adaptive sub-mesoscale hybrid parameterization method and system, and the method comprises the steps: calculating a sea surface horizontal density gradient defined on an edge in a sea model of an unstructured grid, correcting the sea surface horizontal density gradient according to an effective resolution ratio and a frontal surface scale, and carrying out the calculation of the submesoscale hybrid parameterization of the submesoscale hybrid parameterization of the submesoscale hybrid parameterization of the submesoscale hybrid parameterization of the unstructured grid. Calculating a sea surface horizontal buoyancy gradient; calculating the sea surface level Ekman buoyancy flux according to the sea surface level buoyancy gradient and the sea surface wind stress; and if the sea surface level Ekman buoyancy flux is a negative number, further calculating a mixing coefficient in the boundary layer. According to the method, the influence of the symmetrical unstable process on boundary layer mixing can be effectively introduced into the global unstructured grid ocean mode, and the simulation effect of the depth of the mixing layer under coarse resolution is remarkably improved.

The invention relates to the technical field of biomolecule electrostatic characteristic prediction, and discloses a partial differential equation solving method based on a finite volume element method. According to the method, an unstructured grid matched with a biomolecular interface is constructed, a solution of a Poisson-Boltzmann equation (PBE) is separated into an analytical solution G, a linear interface problem solution psi and a nonlinear interface problem solution by adopting a decomposition technology, and a non-homogeneous flux condition at the interface is processed by utilizing a controlled volume decomposition technology; linear and nonlinear problems are solved through a finite volume element method, and final electrostatic potential distribution and solvation free energy are obtained through assembling. The method solves the problems of insufficient precision and low efficiency when a traditional numerical method is used for processing a complex interface non-homogeneous flux condition, has second-order L2 convergence and first-order H1 convergence, and can be efficiently applied to the biophysical research fields such as protein solvation free energy prediction and the like.

The embodiment of the invention provides a hydrogen fuel flow simulation CFD post-processing method, device, equipment and medium, and relates to the technical field of numerical simulation, and the method is realized through the following steps: executing hydrogen fuel flow CFD simulation based on an aero-engine, and generating unstructured grid data; converting the unstructured grid data into a plurality of simulation result files, sorting grid geometric information and numerical value distribution data in the simulation result files, generating a time snapshot matrix, calculating an adjoint matrix S through the time snapshot matrix, and then obtaining a mode corresponding to each feature vector of the hydrogen fuel flow field; and through a mode corresponding to each feature vector of the hydrogen fuel flow field, calculating to obtain a magnification gi and a mode coefficient amplitude ba, and carrying out dynamic reconstruction and prediction on the hydrogen fuel flow field through a mode superposition method. According to the scheme, the flow field state at any moment can be reconstructed and predicted through a modal superposition method, and the post-processing efficiency is improved.

The application relates to a flow field simulation analysis method and device of a wind smoke system and electronic equipment, wherein the method comprises the following steps: generating a three-dimensional structure model of the wind smoke system by using structure parameters and operation condition data of a fault equipment of a power plant, performing grid division, and determining a structured grid area and an unstructured grid area; loading corresponding customized boundary conditions, simulating a coal powder motion trajectory by using a preset gas-solid two-phase flow model, combining a preset turbulence model to capture flow field fluctuation characteristics, and solving a multi-physical field; extracting at least one flow field key parameter of the wind smoke system to establish a fault diagnosis index system, combining an orthogonal test design to optimize structure parameters, and outputting a flow field reconstruction scheme of the wind smoke system. Therefore, the problems of insufficient pertinence, low precision and poor engineering practicability caused by neglecting individualized structure parameters of power plant equipment, insufficient consideration of gas-solid two-phase flow coupling effects and only relying on experience formula to deduce fault reasons in the related art are solved.

The invention relates to the technical field of reactor safety analysis, and provides a pressurized water reactor pressure vessel lower chamber flow distribution analysis method. The method comprises the following steps: establishing a fluid domain three-dimensional geometric model; performing unstructured grid division on the fluid domain three-dimensional geometric model to generate a three-dimensional calculation grid; selecting a turbulence model; setting inlet boundary conditions and physical property parameters of the coolant; the reactor core area is equivalent to a porous medium area, and flow resistance parameters of the porous medium area are set; based on the three-dimensional calculation grid, adopting a selected turbulence model, loading flow resistance parameters of a porous medium area and inlet boundary conditions and physical property parameters of a coolant, and carrying out three-dimensional flow simulation to obtain coolant flow distribution at the section of a reactor core inlet; and evaluating the flow distribution uniformity of the reactor core inlet according to a preset flow distribution evaluation criterion. The method is used for simulating three-dimensional flow of a coolant in a lower cavity of a reactor pressure vessel, acquiring a flow field structure and flow distribution data of the coolant, and performing quantitative evaluation.

The application discloses a kind of unstructured grid flow field prediction method and system based on ordered state space model, comprising: the geometric physical feature extraction of input unstructured grid;Massive node features are aggregated and reduced to a small number of macroscopic physical perception slices by learnable physical slicing mechanism;Innovatively introduce the spatial weighting center ordering mechanism based on flow field principal axis, convert unordered slices into ordered sequence strictly conforming to fluid evolution direction;Global feature interaction and evolution are carried out on ordered sequence using bidirectional selective state space model with linear complexity;Finally, the evolved features are restored to the original grid and the prediction result is output.The application reduces the computing cost significantly while achieving high-precision prediction by explicitly modeling the directionality and causality of fluid evolution, and is suitable for rapid flow field analysis and optimization design in the field of vehicle aerodynamics.

The invention discloses a method for analyzing interaction behaviors of wire-wound fuel rods after irradiation deformation. The method comprises the following steps: defining a material constitutive structure based on an ABAQUS explicit material subprogram to obtain rod bundle irradiation deformation characteristics; using SOLIDWORKS to reconstruct the geometric structure of the deformed rod cluster; the influence of contact behaviors on grid division quality is eliminated by adjusting the rod bundle distance and the rod-winding wire distance, grid division is carried out by adopting an unstructured grid and boundary layer optimization strategy, and a transient turbulence pulsating pressure field is captured by a wall surface self-adaptive local vortex-viscous model based on large vortex simulation; explicitly defining a rod bundle and a winding wire contact pair; the fluid time-varying pressure load is mapped to the solid surface to execute transient dynamic calculation, and vibration displacement response and contact force time history data are synchronously output; the vibration dominant frequency is identified through fast Fourier transform, and the resonance risk is positioned in combination with the inherent frequency of the structure. According to the invention, co-simulation of irradiation deformation of the wire-wound fuel rod bundle and wire-wound rod bundle solid coupling response can be realized.

The stratum heat insulation barrier simulation method based on the projection type embedded discrete fracture model comprises the steps that a physical model of a well drilling area is constructed, the physical model is divided into a matrix grid and a barrier grid according to preset grid parameters, and the barrier grid is arranged in the matrix grid in an embedded mode; determining projection information of the barrier grid in the matrix grid according to different grid connection relations between the barrier grid and the matrix grid; determining geometric factors and geometric heat conductivity coefficients of the barrier grids according to the projection information; and inputting the geometric factor and the geometric heat conductivity coefficient into a preset model to obtain a heat transfer simulation result of the barrier grid. According to the scheme provided by the invention, mass transfer or heat transfer of the matrix grid and the barrier grid is accurately captured according to the geometric position and shape, so that a more accurate simulation result is provided, meanwhile, division of an unstructured grid is avoided, the complexity of equation discretization is reduced, and the calculation efficiency is greatly enhanced.

A quantitative prediction method for changes in spatiotemporal distribution of vole populations includes: determining a habitat of voles based on an activity range of the voles; dividing the habitat of voles into an unstructured grid with triangular units as basis; constructing a quality evaluation model for the habitat of voles, a migration model for vole subpopulations, a size change model for the vole populations, and an energy storage change model of the voles; performing coupled computation on the quality evaluation model for the habitat of voles, the migration model for the vole subpopulations, the size change model for the vole populations, and the energy storage change model of the voles to obtain computation results; and predicting the changes in the spatiotemporal distribution of the vole populations based on the computation results.

The application discloses a kind of remote tail control shell aerodynamic characteristic analysis method and device. Among them, the method includes: the physical modeling of the shell body of shell is carried out, and the shell model is obtained;The shell model is divided into unstructured grid and boundary conditions are set;Based on the grid and the set boundary conditions, the shell model is analyzed, and the variation law of the aerodynamic characteristics of the shell model with flight Mach number and angle of attack is obtained.The application solves the technical problem that the control difficulty caused by high rotation speed of high-rotation shell.

The application discloses a coastal channel maintenance decision-making method and system based on a siltation mathematical model. The method comprises the following steps: constructing a channel full-life-cycle database; coupling a tidal current, a wave and a sediment model by using an unstructured grid and an MCT coupler to establish a channel siltation mathematical model; correcting siltation parameters, optimizing the mathematical model and predicting future siltation by using an LSTM time series prediction model, and constructing a siltation risk atlas; generating early warning information according to the atlas, determining dredging engineering quantity and formulating a dredging scheme. The application realizes accurate prediction of channel siltation and quantitative decision-making of a maintenance scheme, and improves the scientificity and economy of channel maintenance.

This invention discloses a simulation calculation method for the impact of river sand mining on navigation flow conditions, including: collecting and integrating basic geographic information and hydrological data of the sand mining area to construct a digital elevation model and hydrological database covering the entire area; based on the integrated data and Cartesian coordinate system, using an unstructured grid to partition the sand mining area to obtain a grid file of the sand mining area; given the initial conditions, boundary conditions, and dynamic boundary technology of the model, establishing a two-dimensional planar hydrodynamic model based on two-dimensional continuity equations and two-dimensional momentum equations through data collection and preprocessing; conducting model verification and calibration experiments based on existing historical measured data; and designing two sets of working conditions before and after sand mining according to the sand mining scheme and navigation engineering design scheme, obtaining prediction results based on the simulated values ​​of the hydrodynamic model.

This invention relates to a method and system for rapid prediction of 3D flow fields of aircraft based on graph encoder networks, belonging to the interdisciplinary field of computational fluid dynamics and deep learning. This invention extracts unstructured meshes into point cloud data, defines the features and weights of graph nodes and edges, and constructs a graph structure using the K-nearest neighbor algorithm. It designs a fusion network containing a graph encoder and decoder, introducing normalization, pooling aggregators, and DropEdge techniques to deconstruct flow field information and avoid overfitting. Through redundant channel identification, model pruning, and hierarchical point-by-point decoder design, it achieves network lightweighting, ensuring prediction accuracy while improving computational efficiency, adapting to practical engineering needs. This invention also provides a system for implementing the above method, including electronic devices and computer-readable storage media, which can be deployed on conventional computing platforms to achieve rapid prediction of 3D flow fields of aircraft.

The application discloses a coupling algorithm for studying the influence of microplastics on fish based on an unstructured grid, and aims to deeply understand the influence of microplastics on the ecology of fish in the ocean. The method combines a Lagrangian advection model and a diffusion equation to simulate the transmission and diffusion process of microplastic particles, calculates the spatial position of each particle and tracks the trajectory of each particle by introducing real ocean current data. The GMRES method is used to solve the large-scale sparse linear system generated in the simulation process to ensure the efficiency and stability of the calculation. The Crank-Nicolson method is also used for time stepping to improve the numerical stability. The Lagrangian advection and diffusion processes are coupled by staggered time steps to truly reflect the spatial distribution of microplastics. Considering the specific behavior of the fish population, the density change rate is determined by the inherent motion, diffusion and microplastic concentration gradient, so as to evaluate the potential influence of microplastics on the marine fish ecology.

The invention discloses an embankment seepage stress coupling stability assessment method and related equipment, and the method comprises the steps: building a stage geometric model based on scouring parameters, and reconstructing the stage geometric model based on embankment-foundation geometric information to obtain an unstructured grid; performing outer boundary identification on the unstructured grid to generate a seepage boundary condition; solving the seepage equation based on seepage boundary conditions to obtain a pore water pressure field; the pore water pressure field is coupled and introduced into the stress field for solving to obtain a stress field solving result; reducing the shear strength parameter by adopting a strength reduction method, judging instability, and determining a safety coefficient; and executing multi-stage flushing automatic iteration, and outputting an evaluation result of the change of the safety coefficient along with the flushing stage. The method can truly and accurately reflect the influence of riverbed scouring and seepage coupling on the embankment stability, rapidly forms a quantitative evaluation result of the evolution of the safety coefficient along with scouring, and can be widely applied to the technical fields of water conservancy projects and geotechnical engineering.

This disclosure discloses a third-order compact reconstruction method based on the finite volume method on an unstructured mesh, comprising: constructing an unstructured mesh; reading the coordinates of the mesh nodes and the connection relationships between mesh elements in the unstructured mesh; calculating the integral average value of the reconstruction basis functions within the mesh elements based on the mesh node coordinates; calculating the average flow field according to the finite volume method; calculating the reconstruction relationship weighting coefficients based on the density distribution in the flow field; constructing a first-order derivative and second-order derivative relationship matrix based on the weighting coefficients, the integral average value of the reconstruction basis functions, the connection relationships between mesh elements, and the average flow field; constructing a system of equations to solve for the second-order derivative terms of the reconstruction polynomial, obtaining the second-order derivative terms of the reconstruction polynomial, substituting the second-order derivative terms of the reconstruction polynomial into the first-order derivative and second-order derivative relationship matrix, obtaining the first-order derivative terms of the reconstruction polynomial, and completing the reconstruction.

The invention relates to the technical field of computational fluid mechanics post-processing visualization, and particularly discloses a VTK-based post-processing visualization method, which comprises the following steps: obtaining a to-be-visualized file, the file type of the to-be-visualized file at least comprising a VTK format and a dat format; reading a suffix name of the to-be-visualized file to determine a file type of the to-be-visualized file; according to the file type of the to-be-visualized file, calling a reader corresponding to the file type to carry out file data processing, and obtaining data information of the to-be-visualized file; constructing a VTK data structure according to the data information of the to-be-visualized file, wherein the VTK data structure at least comprises a polygonal data set, structured grid data and unstructured grid data; and performing visualization processing on the VTK data structure according to the file type of the to-be-visualized file. The VTK-based post-processing visualization method provided by the invention can be suitable for post-processing visualization of a VTK format and a dat format at the same time.

The invention provides a flood disaster inundation area space prediction method in combination with landform, and belongs to the technical field of flood disaster prediction.The flood disaster inundation area space prediction method comprises the steps that topographic feature extraction is conducted by obtaining digital elevation model data, permeability parameter partitions are divided, and an initial parameter distribution function is established; a Bayesian inversion algorithm is combined with historical flood data to calibrate parameters, a Gaussian random field theory is utilized to generate a small-scale permeability coefficient spatial variation field, a river channel and beach overtopping geometric model is established and discretized into an unstructured grid, a shallow water equation set is solved through a Riemann solver, and a deep learning model is adopted to calculate the infiltration amount and the runoff. The roughness coefficient is dynamically updated in combination with vegetation bending deformation, the water depth distribution is obtained through parallel calculation of a graphics processor and an implicit time integral format, the submerged area is finally judged, and the technical problem that the prediction precision of the flood submerged area is limited due to insufficient permeability parameter spatial heterogeneity description is solved.

The embodiment of the present application relates to the technical field of data modeling analysis, and discloses a tunnel rock stratum large deformation analysis method and system based on three-dimensional modeling, which comprises the following steps: collecting initial three-dimensional point cloud data through three-dimensional laser scanning, constructing an initial three-dimensional geological model containing spatial form characteristics and rock stratum interface geometric topological relationship through space coordinate matching and surface reconstruction; performing finite element unstructured grid division on the model, and establishing a rock stratum mechanics analysis model in combination with physical mechanics parameters; inputting construction parameters and process information, sequentially activating unit nodes and solving force balance equations to simulate stress distribution; identifying potential deformation areas through iterative calculation, adjusting boundary conditions to predict deformation trend; and generating multi-view deformation early warning information by fusing three-dimensional space distribution cloud maps, time evolution curves and position labels, so that the accuracy and visualization degree of tunnel rock stratum deformation analysis are improved, and support is provided for construction safety.