428 results about "Hexahedron" patented technology

The invention discloses a riverway three-dimensional water flow numerical simulation method, and relates to the technical field of intelligent water conservancy simulation, and the method comprises the steps: generating a longitudinal long and narrow hexahedral mesh of a main riverway in a C gradient direction through employing a mucous network growth algorithm, and outputting a hexahedral mesh with a shear layer identifier; turbulence viscosity coefficient distribution is dynamically initialized through a DDPG reinforcement learning model, and turbulence parameters are output; inputting the hexahedral mesh with the shear layer identifier and turbulence parameters into a coupling solver, performing parallel numerical solution, and outputting transient flow field data; a lambda 2 criterion is adopted to identify a vortex core area and calculate a vorticity modulus, a transverse circulation is defined, an on-way distribution cloud picture is generated, an immersive VR scene is constructed through a Unity 3D engine, and a three-dimensional visual water flow simulation scene with a physical feature label is output. Through fusion of lambda2 criterion vortex identification and a Unity 3D visualization technology, a complete solution with both calculation precision and engineering practicability is provided for river flow simulation.

The invention provides a finite element analysis method for a competition-level site cross-country motorcycle frame, and belongs to the technical field of crossing of computer-aided engineering and vehicle structure design. The method comprises the following steps: performing parametric modeling on a frame main bearing structure based on CATIA software, and simplifying non-functional characteristics; importing the model into ANSYS Workbench, generating a high-precision finite element model by adopting a grid division strategy of mixing tetrahedron and hexahedron units, and considering the calculation efficiency and precision; defining material characteristics; a limit load working condition is simulated through statics analysis, a displacement cloud picture and a stress cloud picture are combined to be compared with the yield strength of a material, and topological optimization is conducted on a weak area; meanwhile, the inherent frequency of the frame is extracted through modal analysis, and the resonance risk is avoided. According to the method, statics analysis and modal analysis are carried out on the frame through cross-platform co-simulation, the structural reliability is evaluated, and the method is suitable for efficient development and performance optimization of competition-level cross-country motorcycle frames.

The invention discloses a semiconductor physical model analysis method and system with strong initial value robustness. The method comprises the following steps of: subdividing a semiconductor physical model structure by adopting a hexahedron, calculating boundary conditions by utilizing semiconductor doping concentration based on subdivision grids, dividing regions through the boundary conditions, and calculating different initial values; substituting the initial value distribution into the normalized current continuity equation, current density equation and Poisson equation to generate a group of remainders; a current continuity equation, a current density equation and a Poisson equation are stably solved by introducing a variable parameter which is added before a remainder and gradually changes from 1 to 0, and a steady-state solution of a semiconductor physical model under a specific voltage bias condition is obtained. The method aims at effectively solving the problems that a traditional initial value solving method is difficult to converge and easy to diverge in a strong nonlinear semiconductor physical model.

The invention discloses a complex medium controllable source electromagnetic multi-parameter three-dimensional inversion method and system, and the method comprises the steps: carrying out the three-dimensional space discretization of an exploration region, and carrying out the multi-time iteration inversion of a discrete exploration region through initializing a multi-parameter geologic model based on a multi-parameter inversion target function, and obtaining a multi-parameter three-dimensional inversion result; wherein the multi-parameter inversion objective function comprises a data fitting constraint, a model constraint and a cross gradient constraint, and the multi-parameter model comprises resistivity, magnetic conductivity, a charging rate, a frequency correlation coefficient and a time constant; and a hexahedral mesh discrete calculation region is adopted in inversion, and a finite element linear equation set is obtained through a vector finite element method, so that multi-parameter three-dimensional forward modeling calculation is realized. According to the method, the induced polarization effect and the magnetic conductivity influence are considered at the same time, multi-parameter three-dimensional inversion is achieved, the application precision and reliability of the controllable source electromagnetic method under the complex geological condition are remarkably improved, and rich geophysical basis is provided.

The invention discloses a mixed hexahedron magnetic data inversion method based on random weighting, and belongs to the field of magnetic signal processing, and the method comprises the steps: carrying out the space division of an underground inversion region through employing a structure and non-structure combined mixed hexahedron grid, and discretizing an underground space into N hexahedron units; generating projection geometries with different size parameters and spatial positions through random assignment, embedding the projection geometries into the subdivided grid model, repeating N times to construct N independent N * 1-dimensional model column vectors, and then performing random sequential splicing to obtain an N * N-dimensional random weighting matrix; constructing an inversion objective function based on the random weighting matrix, and solving to obtain weighting domain magnetization intensity; and in combination with a random weighting matrix and a solving result, obtaining spatial distribution of three-dimensional magnetization intensity, and realizing construction of an inversion image. According to the invention, rapid and fine inversion of the geophysical magnetic data under the rugged topography is realized, and the inversion precision and reliability of the magnetic survey data under the complex topographic condition are improved.

The invention provides a projection transformation method for hexahedral panoramic data to spherical panoramic data, and the method achieves the seamless splicing of panoramic images of six surfaces of a cube and the mapping of the panoramic images to a spherical coordinate system through the determination of a direction vector, the normalization of the vector, the conversion of spherical coordinates, the projection to an equidistant histogram, and an illumination and color correction algorithm. The problems of splicing gaps, deformation, texture distortion and the like in a traditional method are solved. The method is not only widely applied to the fields of virtual reality, augmented reality, panoramic video production and the like, but also greatly expands the application scenes, including but not limited to panoramic roaming, streetscape roaming experience, integrated use of specific roaming plug-ins, seamless embedding on a map platform and the like, and has wide application prospects. Therefore, the display effect of the panoramic data and the immersive experience of the user are remarkably improved.

The invention discloses a scene preprocessing method for fire simulation, and relates to the technical field of building fire simulation, and the method comprises the steps: calculating a three-dimensional thermal weight through employing a fire propagation dynamics model, and generating a fire dangerous region thermal diagram; through a tensor field generation algorithm, fire behavior main diffusion direction and each axial anisotropic parameter are extracted, and fire behavior grid parameters are generated; through a hybrid grid generator, performing hexahedron dominant grid construction and increasing the grid density of a fire behavior dangerous area to obtain a fire behavior optimization hybrid grid; performing Reynolds number verification and boundary layer matching on the fire behavior optimization hybrid grid through a fire behavior feature adaptive algorithm, and performing iterative correction to generate a fire simulation correction grid; according to the invention, through the hybrid grid generator, the self-adaptive distribution of the grid density of the fire hazard area and the smooth connection of the transition area are realized, so that the grid distribution of the fire hazard area is accurately matched with the fire spreading characteristics.

The invention discloses a soft tissue constitutive parameter calibration method in a soft tissue-skeleton bird body model for bird strike simulation, and the method comprises the construction of a soft tissue-skeleton bird body finite element model and finite element reverse analysis based on flat bird strike. Dividing wing bones, leg bones and head and neck parts in the bones of the bird body into hexahedral unit grids, dividing wishbones, pecking bones, fossil protrusions and ribs into shell units, and dividing soft tissues into SPH particles; further obtaining bone elastic-plastic constitutive parameters through a static compression test, and endowing the bone units with the bone elastic-plastic constitutive parameters; an objective function is set as a mean square error between a flat plate center point pressure-time curve obtained by a real bird body impact flat plate test and corresponding curve data calculated by soft tissue-skeleton bird body impact flat plate finite element simulation, and soft tissue constitutive model parameters are inversely calibrated by adopting a genetic algorithm; and model and material parameter support is provided for bird strike simulation of a high-fidelity aircraft structure.

The invention provides an earth crust spectrum unit optimization modeling method suitable for strong seismic wave field simulation under complex topographic conditions, and relates to the field of seismic engineering, and the method comprises the steps: determining topographic parameters of a research area; according to wave velocity structure parameters of a research area, determining a mesh refinement multiple, and obtaining a minimum distance from a wave velocity contour surface to the bottom; determining the position of a refinement conversion layer of the earth crust spectrum unit; determining the total number of three-way units before mesh refinement according to the position of the earth crust spectrum unit refinement conversion layer; carrying out mesh generation in the whole domain by adopting hexahedron units; according to the layer number of the earth crust spectrum units at the upper part of the conversion layer, carrying out superficial earth crust model refinement processing; and calculating grid quality, counting the number of the earth crust spectrum units to obtain an expected value of the earth crust spectrum units, and comparing the expected value with the estimated value. According to the method, the quality problem of the spectrum unit during modeling of the earth crust structure in regions with complex topographic conditions such as alpine and canyon can be solved, meanwhile, the calculation freedom degree is reduced to the minimum, and stable and low-cost seismic oscillation simulation based on the spectrum element method is achieved.

The invention provides a finite element mesh automatic generation method and system based on multi-geometric-form block mapping. The generation method comprises the steps that a key area, a transition area and a non-key area of a target geometric model are determined; automatically segmenting the target geometric model by using a block partitioning mode; wherein a hexahedron block is constructed in the key area, a multi-geometric-form block is constructed in the transition area, and a block in any form is constructed in the non-key area; after the step 2, mapping the hexahedron block to generate a hexahedron mesh, generating the hexahedron mesh by using the multi-geometric-form block according to a pre-mapping rule, and filling the block in any form by using a target algorithm; and performing quality adjustment on the grid file obtained in the step 3, and outputting a hybrid grid file. By adopting the prediction method and introducing a multi-geometric-form partitioning mode, a user can perform hybrid partitioning on a specified key area to realize automatic generation of the block, so that the success rate of block partitioning is ensured, and the iterative calculation amount of automatically generating the block is reduced.

The utility model relates to an experimental device for detecting learning memory of insects. The experimental device comprises a smell conveying device and a conditional training device. The smell conveying device comprises an air pump which is connected through a hose and located outside the box body, and an air filter, an air humidifier / flowmeter, a smell source chamber and a smell release pipe which are sequentially connected through the air pump through hoses, the conditioned training device is composed of an isolation chamber and an insect body fixator, the isolation chamber is of a hexahedron structure, the right face of the isolation chamber is provided with an opening, and the opening face is provided with an air outlet; the odor releasing pipe penetrates through the left side face of the isolation chamber and forms an included angle of 15-45 degrees with the bottom face of the isolation chamber, the left side, the front side, the rear side and the upper face of the isolation chamber are composed of light transparent thin plates, the bottom face is wrapped with a film, a micro-hole is formed in the center of the film on the bottom face, the insect body fixing device is located below the micro-hole of the isolation chamber, and an exhaust fan is arranged on the right side wall of the box body. The device is reasonable in structure, and can evaluate whether insects can establish the combined learning and memory ability of conditional odor stimulation and volatile compound or non-volatile food intake.

The invention relates to a method, a device and equipment for estimating the bulk cargo loading and unloading dust release amount of a port environment and a medium, and the method comprises the steps: dividing the port environment through employing a hexahedral grid with a non-uniform volume according to the distance of a bulk cargo loading and unloading interval and a bulk cargo particle value; determining wind erosion information of each hexahedral mesh under single disturbance according to historical wind power information through estimation of a dynamic wind erosion release factor, and determining static wind erosion dust capacity of each hexahedral mesh under single disturbance according to the bulk cargo particle value and the wind erosion information of the bulk cargo; determining a dust loading and unloading coefficient according to the dust release amount and the loading and unloading mode of the bulk cargo particle value during dynamic operation through an attention mechanism; according to the dust release amount, the bulk cargo dust loading and unloading coefficient and the static wind erosion dust amount of each hexahedral mesh under single disturbance, the dynamic dust emission amount is determined; and determining an estimation result of the bulk cargo loading and unloading dust release amount according to the static wind erosion dust amount, the dynamic dust emission amount and the duration of the bulk cargo in the single loading and unloading process.

The invention provides a tree wind-induced response evaluation and analysis method, and relates to the technical field of disaster prevention and reduction engineering, and the method comprises the steps: carrying out the construction of a geometric model for a target tree; on the basis of the geometric model, CFD analog simulation is carried out, and wind pressure time history data and crown load data of CFD grid points of the branches under different wind field conditions are obtained; finite element mesh generation is carried out on the geometric model, a finite element model is constructed, and mesh unit types in the model comprise hexahedron units, tetrahedron units and wedge-shaped units; the branch wind pressure time history data and the crown load data are mapped to the surface of a finite element model, structural finite element analysis is carried out, and cloud chart data of stress and displacement of the target tree changing along with time under different wind field conditions are obtained; and carrying out wind-induced response analysis and wind resistance evaluation on the target tree based on the cloud picture data and the wind-induced damage criterion of the tree. According to the technical scheme, a scientific basis can be provided for understanding the response behavior of the target tree under the strong wind condition.

The invention discloses a hexahedral mesh intelligent simplification method with guaranteed analysis precision, and belongs to the technical field of hexahedral mesh simplification, and the method comprises the following steps: 1, carrying out the feature extraction of layers and columns of a hexahedral mesh, including geometric features, topological features, quality features and physical features; step 2, carrying out validity check on the layers and the columns; 3, predicting the deletion probability of a deletable layer / column based on the constructed simplified neural network HSimNet; and step 4, executing layer / column deletion operation. According to the method, physical characteristics of layers and columns are introduced into hexahedral mesh simplification for the first time, model simplification is associated with physical problems, geometric characteristics are introduced into hexahedral mesh simplification, and layer and column structures causing geometric ineffectiveness of the mesh are pre-judged, so that geometric effectiveness of the simplified mesh is guaranteed; topological features and quality features are introduced into hexahedral mesh simplification, so that the overall quality of the simplified mesh is ensured.

The invention relates to the technical field of electromagnetic simulation, in particular to a W-band antenna pointing angle simulation analysis method, which comprises the following steps: acquiring the size of a W-band antenna and the form of a radiation unit, extracting main lobe curvature and feed matching characteristics, identifying a main lobe edge interference path, and adjusting a reflection phase to form a dynamic reflectivity boundary. Dividing tetrahedron and hexahedron grids to evaluate polarization consistency, optimizing a field intensity relationship between a main lobe and a side lobe, screening an angle interval, and obtaining a directional angle correction parameter. According to the invention, the specific size and form of the antenna are acquired, the curvature distribution of the main lobe coverage area and the matching relation with the feed structure are deeply analyzed, and the reflection intensity difference between the main lobe path and the side lobe path is monitored, so that the pointing precision and the coverage efficiency of the antenna are effectively improved; according to the antenna design, the performance is ensured, the specific area can be optimized, and the predictability and the stability of the antenna performance are remarkably improved.

The invention discloses a magnetic method data physical property inversion method and system based on a deep learning terrain disturbance layer, and relates to the technical field of geophysical exploration, and the method comprises the steps: building a magnetic anomaly data set, generating an underground three-dimensional magnetic anomaly model through a mixed hexahedron model and a terrain disturbance function, and obtaining corresponding magnetic anomaly data through forward modeling, each group of magnetic anomaly data corresponds to different terrain parameter combinations; constructing a deep learning inversion network model based on UNet; and training the deep learning inversion network model based on the magnetic anomaly data, taking the trained training set parameters as the weight of the deep learning inversion network, verifying the effect by using the verification set after the training is finished, and predicting the effect according to the test set. According to the method, a traditional same-dimensional random projection inversion method is combined with a deep learning network structure, and dynamic transformation of terrain parameters is realized by using a terrain disturbance layer, so that the network keeps high inversion precision and stability under different terrain fluctuation conditions.

Disclosed in the present invention are a dynamic visualization method, system and device for a three-dimensional geological model, and a storage medium. The method comprises: performing voxelization processing on a geological body model, so as to obtain cell position attribute information corresponding to the geological body model; determining whether the cell position attribute information meets a preset model position condition; if the cell position attribute information meets the preset model position condition, obtaining cell value attribute information on the basis of sample point data and by means of a three-dimensional interpolation algorithm, and obtaining a regular hexahedral grid model on the basis of layer number information, a cell index number, the cell position attribute information and the cell value attribute information; performing triangular-face intersection on the geological body model and the regular hexahedral grid model, so as to obtain a corner-point grid model; and performing dynamic visualization on the basis of the regular hexahedral grid model and the corner-point grid model. In the present invention, the regular hexahedral grid model and the corner-point grid model are obtained by means of a voxelization algorithm, the three-dimensional interpolation algorithm, and an intersection algorithm for a geological body and a regular hexahedron, thereby realizing a dynamic visualization function of a three-dimensional geological model.

The invention discloses a robot loading and stacking method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the steps that loading space information, target object information and placement attitude information of a target object are obtained, the loading space information is used for describing information of a three-dimensional space formed by combining one or more hexahedrons, and the target object information is used for describing information of a cube with a length value, a width value and a height value; based on a knapsack algorithm and a multi-target optimization algorithm, according to the loading space information, the target object information and the placement attitude information of the target object, generating a target object arrangement scheme; and according to the target object arrangement scheme, the movement track and the operation posture of the robot from the feeding point to the placing point are planned, and a loading and stacking scheme is obtained.

The invention discloses a shale reservoir fracturing casing deformation calculation method, and relates to the technical field of shale oil and gas development. The method comprises the following steps: fusing microseism, logging, rock core and drilling and logging data, and constructing a fracture network-geomechanics coupling model; calculating a direction cosine matrix according to the fracture three-dimensional stress and the inclination angle, evaluating an activation risk, and screening out high-risk fractures; the triangular mesh boundary element solves the slippage as a displacement boundary, and an eight-node hexahedron elastic-plastic casing mesh is utilized to iteratively calculate a casing variable and draw a cloud picture; and a micro-seismic data real-time iteration model is newly added along with construction, and the perforation cluster distance, the fracturing scale, the displacement and the well spacing are dynamically optimized. According to the method, a large amount of on-site microseismic data is fully utilized, reservoir fracture fine description and slippage risk analysis are achieved, shaft multi-point casing variable prediction is completed, and key technical support is provided for deep shale gas development fracturing scheme decision and risk avoidance.

The invention discloses an industrial-grade printed circuit board heat exchanger design optimization method based on structured grid division and an artificial neural network, and the method comprises the steps: S1, carrying out the modeling of a heat exchanger based on a structured grid division method, and segmenting an end socket of the heat exchanger into a plurality of hexahedron structures, a flow channel of the heat exchanger is built into an agent flow channel model in the axial direction; s2, key parameters of a heat exchanger runner are extracted through a proxy runner model, and flowing and pressure drop characteristics of fluid in the runner are calculated; S3, based on the computational fluid mechanics simulation technology, a velocity field, a pressure field and flow distribution of the fluid in a heat exchanger end socket are obtained; s4, dividing control bodies for the heat exchanger based on a finite volume method, establishing a heat exchange amount and efficiency calculation program of the heat exchanger, and obtaining the efficiency of the heat exchanger; and S5, an artificial neural network training model is introduced, a multi-objective optimization algorithm is applied, the thermal hydraulic performance of the heat exchanger is optimized, a Pareto leading edge is generated, and multiple design selections are provided for designers to refer to.

The invention discloses an aerated building block geometric dimension intelligent detection method based on three-dimensional point cloud reconstruction, and the method comprises the steps: collecting and processing multi-view point cloud data, and generating a complete point cloud data set covering six surfaces; executing self-reference calibration based on hexahedron features, and generating a standardized point cloud data set; inputting the multi-modal input into an improved SegFormer model, extracting geometric features and calculating a variance; executing weighted segmentation and topological optimization based on the geometric features, and outputting geometric parameter data; calculating the geometric dimension of the aerated building block, and combining the spatial covariance to generate a precision calibration result; and fusing variance information to establish a space-time coupling judgment mechanism, and outputting a detection report and a detection result. According to the method, through fusion of improved SegFormer dynamic geometric semantic modeling, geometric entropy driving topology correction and a space-time coupling tolerance judgment mechanism, high-precision three-dimensional point cloud reconstruction and intelligent geometric dimension detection of the complex surface of the aerated building block are realized.

The invention provides a soft tissue cutting simulation method based on self-adaptive hexahedral mesh subdivision, which comprises the following steps of: S1, constructing a soft tissue model and a surgical instrument model by using three-dimensional modeling software; s2, performing collision detection on the soft tissue model and the surgical instrument model; s3, marking the initial collision position of the surgical instrument and the cutting model, and determining a cutting surface; s4, copying all hexahedrons and grid units intersected with the cutting surface, and redefining the connection relationship between the hexahedrons and the curved surface grids; according to the method, details of a complex cutting path can be caught more finely through self-adaptive hexahedron mesh subdivision, the sense of reality of cutting simulation is improved, in the cutting process, by copying or segmenting hexahedron units and updating quality and stiffness matrixes, it is ensured that the physical performance of the model is kept unchanged, unnecessary calculation overhead is reduced, and the method is suitable for large-scale popularization and application. And the simulation authenticity is improved.

The invention discloses a three-dimensional anisotropic grid generation method based on a streamline tracking topological structure, and relates to the field of numerical simulation of fluid mechanics, and the method comprises the steps: S1, carrying out the tetrahedral subdivision processing of a computational domain of an aircraft through employing a triangulation algorithm Delaunay, and achieving the isotropic grid subdivision of the computational domain; s2, using isotropic grid point information generated in the isotropic topological structure to construct a corresponding sign distance SDF resolving model so as to obtain a scalar field satisfying a Laplace equation; s3, calculating the gradient of the scalar field by adopting an SDF gradient solving method based on local least square fitting to obtain a corresponding gradient field; s4, performing streamline tracking in the gradient field to obtain a corresponding grid topological structure; and S5, constructing a structured hexahedral mesh covering the whole computational domain according to the mesh topological structure and the corresponding surface mesh. According to the method, theoretical unification and engineering feasibility of two-dimensional to three-dimensional grid structure mapping are realized.

This invention discloses a finite element design and analysis method for a novel structural piezoelectric composite material. The method includes the following steps: extracting the zero level set surface based on the spatial structural equation to create the geometric shapes of a 3D TPMS shell structure, including Schwarz P, Gyroid, Neovius, and Diamond structures; using Matlab to define the frame volume fraction of the geometric shapes and control the unit node information in the 3D TPMS shell structure model; generating the 3D TPMS shell structure model as an inp file, importing the inp file into Abaqus to generate hexahedral elements; using Rhino to smooth the surface of the hexahedral elements, exporting the STL file, and performing remeshing in Hypermesh to convert the hexahedral elements into tetrahedral elements; adding periodic boundary conditions to the tetrahedral element mesh and performing numerical simulation to obtain the TPMS shell structure composite material model. The novel TPMS shell structure piezoelectric composite material designed by this method significantly improves piezoelectric performance compared to existing piezoelectric composite materials.

The invention relates to the technical field of constructional engineering, in particular to a multi-layer box house of a modular integrated building and a construction method thereof, each layer of box house comprises at least one box house unit, and each box house unit comprises a prefabricated bottom plate, a prefabricated top plate, a prefabricated outer wall plate and a plurality of prefabricated side wall plates which are arranged in a hexahedron mode. In every two vertically adjacent box room units, the reinforcement cages in the two box room units are vertically and correspondingly arranged, and the lower-layer vertical ribs extend into the area where the bottoms of the upper-layer vertical ribs are located. The modular integrated building has the beneficial effects that a complex box house is divided into a plurality of prefabricated wallboards, the wallboards are rapidly connected through the embedded steel plates, welding of the embedded steel plates can replace steel bar lap joint of a post-pouring section, the use amount of lateral formworks in a mold for producing the box house is reduced, the modular integrated building can be more flexibly divided into single wallboard small components, and the construction efficiency is improved. The production difficulty of the complex position of the structure is greatly reduced, the multiple prefabricated side wall plates and the prefabricated outer wall plates do not need steel bar lap joint or post-cast strips, and the construction speed is higher.

The invention belongs to the technical field of a strength analysis method of a lattice structure, discloses an efficient finite element modeling and analysis integrated method for static analysis of the lattice structure, and establishes an efficient and high-precision finite element modeling and analysis integrated method for the lattice structure. Aiming at the limitations that in traditional finite element analysis, high-quality hexahedron mesh generation is difficult and units need to ensure welt processing, the method adopts structured meshes to quickly divide the meshes, improves a self-adaptive integral strategy in a traditional finite cell element method, and further improves simulation efficiency. Meanwhile, a penalty function method is adopted to weakly apply displacement boundary conditions. In addition, in post-processing, a result calculated by a finite cell method is mapped to a smoother visual model. Through example comparison, it is verified that the method can perform strength check domain analysis on the complex lattice structure in a stable and efficient mode, and a feasible scheme is provided for efficient analysis of a large-scale complex engineering structure.

The invention relates to the technical field of three-dimensional visualization, in particular to a geological exploration three-dimensional visualization analysis system which comprises a spatial discretization construction module, an interface geometric feature extraction module, an attenuation factor calculation module, an internal stress field inversion module and a voxel lighting effect mapping module. According to the method, by constructing a voxelization space system and combining projection coordinates of a top plate and a bottom plate of the stratum, the geometric bending degree and local thickness variation characteristics of the stratum interface are accurately quantified, and a mapping relation between a spatial form and an internal stress field is established by utilizing geometric conduction factors; the method can invert tectonic stress distribution from stratum extrusion deformation and thickness reduction trends, effectively identify a hidden stress concentration area in a geologic body, dynamically adjust optical attributes of regular hexahedron units according to stress intensity, convert abstract mechanical characteristics into visual three-dimensional images, realize spanning from pure geometric display to internal physical mechanism analysis, and improve the analysis accuracy of the geologic body. And the identification precision and the early warning capability of the geological disaster source are obviously improved.

The invention discloses a modeling method and an analysis method of a geologic body finite element model containing a fault three-dimensional fine structure, and relates to the field of earth science. According to the method, the three-dimensional fault model is properly smoothed, so that the three-dimensional geometrical characteristics of the fault are reserved, and subsequent grid division is facilitated. And meanwhile, during grid division, even if a relatively complex geometric form is adopted, hexahedron units are still adopted, so that more accurate computational simulation is facilitated, and finally, a geologic body finite element model containing a fault three-dimensional fine structure is obtained. According to the invention, flexible adjustment can be carried out according to different geological backgrounds and scientific problems, including but not limited to addition of corresponding material media, friction coefficients, physical equations, fault contact and other parameters, and geologic bodies and faults in a research area can be simulated more accurately and finely. Meanwhile, the geologic body finite element model mesh created by the method can reach million level, and more refined research, simulation and processing work are facilitated.

The invention discloses a method for establishing a concrete in-situ mesoscopic finite element model based on a CT (Computed Tomography) scanning technology, which is applied to the technical field of mesoscopic simulation of a concrete structure. The method comprises the following steps: firstly, performing XCT scanning on a steel fiber ultra-high performance concrete test piece to obtain a two-dimensional sequence image of an internal structure of the steel fiber ultra-high performance concrete test piece; then, image processing is carried out through Avizo software, and three-dimensional space distribution information of a base body, steel fibers and pores is segmented and extracted; on the basis of the three-dimensional information, a Python program is utilized to generate a finite element mesh, an eight-node hexahedron unit is adopted in a model, and the established model can accurately reflect real mesoscopic characteristics such as fiber orientation, distribution and pore defects.

The invention provides a light-weight panorama generation method and device based on AIGC. The method comprises the steps that an initial instruction input by a user is received, and a 360-degree panorama is generated; the 360-degree panoramic image is split into six face images of a hexahedron structure; extracting visual elements of each surface in the hexahedral graph, generating corresponding natural language descriptions, and splicing the natural language descriptions into a complete description of a panorama scene; calculating the semantic similarity between the initial instruction of the user and the complete description of the panorama scene; identifying important elements of the six face images of the hexahedron structure and positions of the important elements in the images, and generating anchor point data containing labels and coordinates; constructing a CSS3D cube structure and loading images of all surfaces; adding an interactive component in the corresponding image area according to the anchor point data; and binding a preset or self-defined interaction event for the interactive component. According to the invention, rapid and low-cost generation of the panorama is realized, and efficient display and diversified interaction are achieved in the VR interaction scene, so that the user experience is remarkably improved.