274 results about "Three dimensional geometry" patented technology

The invention provides an inner flanging welding method of a water tank inner container and the water tank inner container, and relates to the technical field of welding manufacturing, and the inner flanging welding method comprises the following steps: obtaining three-dimensional point cloud data of an inner flanging interface of the water tank inner container in real time, and registering the point cloud data with a preset three-dimensional geometric model; based on an improved RRT algorithm, in combination with geometric features represented by the registered three-dimensional point cloud data, an initial motion track of a welding gun is planned; welding is conducted on the basis of the initial motion trail, and the weld width, the fusion depth feature and the defect feature are extracted from a molten pool image obtained in the welding process; correcting welding parameters of a welding gun in real time based on the weld width and fusion depth characteristics; and when the defect characteristics do not meet the preset conditions, path re-planning is triggered, a real-time movement track and synchronously-adjusted welding parameters are generated based on the currently-corrected welding parameters and the defect characteristics, and a welding gun is controlled to execute compensation welding. And the welding quality is improved.

The invention discloses an intelligent monitoring, operation and maintenance platform and method for a soil covering tank based on digital twinning, and belongs to the technical field of digital twinning. A digital twinborn platform is used as a core, a physical geometry simulation module, an algorithm prediction module, a sensing communication module and a virtual visualization module are integrated, and the functional modules perform data interaction and cooperative work through the digital twinborn platform. Firstly, a physical geometric simulation module establishes a three-dimensional geometric model based on the actual structure of the soil covering tank and obtains multi-working-condition mechanical response data; secondly, collaborative prediction of external load distribution, structural response characteristics and fatigue damage is achieved through an algorithm prediction module; thirdly, the sensing communication module collects and processes sensor data in real time, and the model is driven to be dynamically updated; and finally, the virtual visualization module dynamically presents the multi-physical field state and damage evolution trend of the soil covering tank through a multi-source data fusion rendering technology. According to the invention, the comprehensive monitoring capability and failure early warning precision of the earthing tank are obviously improved, predictive maintenance decision is supported, and the operation and maintenance cost is reduced.

The present invention discloses a method and apparatus for simulating thermal stress of a casting mold during a service process, and a storage medium. The method comprises: importing a pre-built three-dimensional geometric model of the casting mold, processing the geometric model, and then performing grid division to obtain a casting simulation finite element physical model; assigning material parameters, interface parameters, process parameters, and boundary conditions to the finite element physical model to obtain a casting simulation finite element calculation model; performing casting process simulation calculations to obtain casting simulation results such as mold temperature field and stress field, and exporting result data; interpolating a temperature-stress correction factor; multiplying all correction factor data under the same node numbers with mold stress data to obtain final thermal stress distribution data of the mold during the service process.

The invention discloses a surface mine digital safety production management method and device and a medium, and relates to the technical field of intelligent mines, and the method comprises the steps: collecting rock mass physical and mechanical parameters of a gold mine mining area and three-dimensional geometric morphology data of a blasting working face, and taking the parameters as physical constraint conditions to construct a digital twinborn body; a preset target blasting scheme is called to be input into the element reinforcement learning agent, multi-round simulation deduction is carried out through a blasting scheme evaluation strategy, and a simulation deduction result is generated; when the peak particle vibration velocity in the simulation deduction result exceeds a preset peak particle vibration velocity threshold value, generating a parameter adjustment suggestion; and the parameter adjustment suggestion is fed back to the element reinforcement learning agent for iterative optimization until the peak particle vibration velocity does not exceed a preset peak particle vibration velocity threshold, and a blasting scheme is generated. Through autonomous exploration of the meta-reinforcement learning agent in the blasting parameter space, the blasting scheme evaluation strategy with adaptability and reliability can be efficiently generated.

The invention discloses an electric arc additive manufacturing temperature field and stress field real-time reconstruction method, which comprises the following steps of: 1, constructing a sequential coupling finite element model in which heat conduction analysis and thermoelastic-plastic mechanical analysis are combined on the basis of process parameters of an electric arc additive manufacturing process and three-dimensional geometry of parts, generating a multi-physical field coupling data set among heat flux density, temperature and stress; step 2, constructing and training a neural network model based on a multi-physics field coupling data set, and realizing mapping from heat flux density to temperature and stress; 3, dynamically optimizing heat source model parameters in combination with real-time monitoring data and process parameters in the electric arc additive manufacturing process; and 4, based on the optimized heat source model parameters and the trained neural network model, real-time reconstruction of a temperature field and a stress field in the electric arc additive manufacturing process is achieved. According to the invention, the requirements of rapid sensing and intelligent regulation and control of temperature and stress states on an additive manufacturing site are met.

The embodiment of the invention discloses a robust extraction method for three-dimensional geometric features of a precast beam based on point cloud edge topology recombination. According to the technical scheme provided by the embodiment of the invention, the three-dimensional point cloud data of the precast beam is subjected to the surface domain separation to obtain the surface domain separation result, the plane fitting is performed according to the surface domain separation result to obtain the fitting plane, and the three-dimensional point cloud data is projected to the fitting plane to obtain the two-dimensional projection point cloud data; edge point detection is performed on the two-dimensional projection point cloud data to obtain a precast beam edge point set, ordered recombination is performed on the precast beam edge point set to obtain an ordered edge point sequence, and feature corner point extraction is performed according to the ordered edge point sequence to obtain precast beam corner points, so that the precast beam corner point extraction efficiency, accuracy and robustness are improved; the precast beam feature extraction efficiency can be improved, and the precast beam feature extraction precision can be effectively improved.

The invention discloses a physical attribute inversion and three-dimensional reconstruction method based on Gaussian splashing and micro-rendering, and belongs to the technical field of computer vision, and the method comprises the steps: generating a sparse point cloud based on a multi-view image to initialize a Gaussian ball; determining a Gaussian pivot point based on a Gaussian ball, constructing a self-adaptive tetrahedral mesh in combination with gradient optimization, extracting an explicit surface from the self-adaptive tetrahedral mesh, and sampling to obtain geometric information; predicting the physical attribute of each sampling point through an implicit texture network, and providing ambient light through an HDR ambient light map; geometric information, physical attributes and ambient light are used as input, a differentiable PBR renderer is adopted to generate a physical rendering image, multi-term loss function reverse optimization is constructed, and collaborative optimization and inversion of three-dimensional geometry and surface physical attributes are realized. According to the method, the problems of texture dislocation, thin-wall structure disappearance and high rendering calculation cost under dynamic topology are effectively solved, and a digital model with fine geometry and a realistic material can be efficiently recovered from a multi-view image.

The invention provides a metal stamping die rapid forming method with a self-adaptive compensation difference value. The metal stamping die rapid forming method with the self-adaptive compensation difference value comprises the steps that a, a three-dimensional geometric model of a die to be compensated is obtained, and the actual geometric shape of the die is obtained through scanning equipment, b, meshing processing is conducted on the obtained three-dimensional geometric model, a grid data model is generated, and c, the compensation difference value is calculated based on the grid data model, and d, a compensation algorithm is optimized through multiple iterations, a self-adaptive compensation strategy is formed, and the calculation burden is reduced. According to the metal stamping die rapid forming method for the self-adaptive compensation difference value, the self-adaptive compensation difference value algorithm is adopted, the three-dimensional geometric model is processed through gridding, the compensation difference value is calculated based on the algorithm, and the complex shape of the die can be efficiently processed.

The invention discloses a rigidity determination method, device and equipment of a transmission shell assembly and a medium, and belongs to the technical field of computer-aided engineering.The method comprises the steps that on the basis of a three-dimensional geometric model of the transmission shell assembly, the rigidity of the transmission shell assembly is determined according to the analysis requirement of the transmission shell assembly; establishing a shell assembly finite element model corresponding to the transmission shell assembly; configuring the finite element model of the shell assembly to obtain a finite element calculation file; analyzing the finite element calculation file through a target solver selected by a demand side to obtain a rigidity analysis result of the transmission shell assembly; and determining whether the rigidity of the transmission shell assembly is qualified or not according to a rigidity analysis result. According to the method, physical tests are not needed, the research and development period of the transmission shell assembly is shortened, the material cost in the optimization design process of the transmission shell assembly is reduced, the reliability of the transmission shell assembly is guaranteed, and therefore the overall performance and reliability of a transmission are improved.

The invention provides a GPU-based parallel tetrahedral mesh optimization method, system and device and a medium, and relates to the technical field of numerical simulation. Comprising the steps of generating a triangular mesh covering a surface for a three-dimensional geometric model; generating an initial tetrahedral mesh based on the triangular mesh; performing a round of point smoothing operation on each tetrahedron by using a plurality of GPU threads; carrying out iterative circulation of the combination optimization operation, and simultaneously carrying out a round of point smoothing, edge deletion and multi-surface deletion operation on a plurality of initial tetrahedrons by utilizing a plurality of GPU threads; and when the edge deletion operation and the multi-surface deletion operation cannot further improve the grid quality, simultaneously performing a round of edge contraction and edge segmentation operation on the plurality of initial tetrahedrons by utilizing the plurality of GPU threads. According to the method, the large-scale grid with reliable quality is quickly generated based on the low-quality input grid, and the grid optimization rate is improved, so that the requirement of large-scale unstructured grid optimization in a three-dimensional space is met.

The invention provides a bridge finite element model conversion method and system based on multi-algorithm matching, and the method comprises the steps: S1, based on a bridge BIM model, extracting a member number, the three-dimensional geometric information of a member and a mechanical-related hooking attribute, and calculating a section mechanical attribute; the component numbers serve as main keys, the three-dimensional geometric information, the hanging attributes related to mechanics and the section mechanical attributes are associated, and structural data are obtained; s2, through a component conversion algorithm, performing conversion based on the structured data to obtain a finite element component; and S3, connecting the finite element components to generate a complete bridge finite element model, and adding load information. Through the method disclosed by the invention, efficient and stable conversion between the BIM model and the finite element skeleton model can be realized, and meanwhile, the multiplexing efficiency of the BIM model data is improved.

The invention provides a vacuum glue filling control method and system based on machine learning, and relates to the technical field of intelligent control, and the method comprises the steps: defining the geometric shape, material attributes, boundary conditions and initial conditions of a finite element model to simulate a real glue filling environment, and the physical characteristics comprise the rheological property and thermal conductivity of glue; the glue filling process under different glue filling speeds, glue temperatures and vacuum degrees is simulated through the three-dimensional geometric model of the glue filling equipment, so that simulation results are obtained, and the simulation results comprise glue flowing behaviors, temperature distribution and stress distribution; training the simulation result to construct a prediction model for predicting the glue pouring result; real-time parameters in the glue filling process are obtained, wherein the real-time parameters comprise the real-time glue filling speed, the glue temperature, the vacuum degree and the glue filling time; according to the method, the flowing and filling conditions of the glue can be accurately predicted and controlled in the glue filling process, so that the glue filling precision and consistency are improved.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

The invention relates to the technical field of solder ball array optimization, in particular to a low-warpage solder ball array optimization method and system in FC-BGA packaging of a glass substrate, and the method comprises the steps: determining the glass substrate and a plurality of solder balls, designing a preliminary array layout, creating a three-dimensional geometric model, carrying out the thermal loading simulation of the three-dimensional geometric model, and obtaining a plurality of thermal stress distribution nephograms; and executing the following operations on each thermal stress distribution cloud picture in the plurality of thermal stress distribution cloud pictures: obtaining a maximum thermal stress region from the thermal stress distribution cloud picture, obtaining a region position and a maximum thermal stress value according to the maximum thermal stress region, obtaining an optimal array layout, summarizing the optimal array layout, and obtaining the thermal stress distribution cloud picture. A plurality of thermal stress distribution cloud pictures are obtained, a plurality of optimal array layouts corresponding to the thermal stress distribution cloud pictures are obtained, the optimal array layout is obtained, the voidage of the welding spots is calculated based on the optimal array layout, and optimization of the low-warpage welding ball array in FC-BGA packaging of the glass substrate is completed based on the voidage of the welding spots. According to the invention, the optimization precision and efficiency of the solder ball layout can be improved.

The invention provides a real-time binocular RGB-D camera image splicing method based on three-dimensional geometric properties, and efficient splicing of depth images is realized by accurately estimating a spatial relative relationship between cameras. Firstly, a binocular RGB-D camera is used for shooting a target plane to obtain multiple groups of data; then, extracting a target plane in the point cloud, and calculating a rotation matrix and a translation vector between cameras to obtain a spatial transformation matrix; thirdly, mapping a right camera depth map to a left camera plane through calculation mapping to realize depth value unification; and finally, through feature extraction and geometric correspondence establishment, optimizing splicing fusion parameters, and completing RGB-D image splicing. The method does not need a calibration plate, adapts to different illumination conditions, and has a wide application prospect.

A method for rapidly solving transient dynamics of a crack-containing bearing structure of a bogie belongs to the technical field of bogie structure dynamic analysis, and comprises the following steps: acquiring a three-dimensional geometric model of the bearing structure, the geometric dimension of a crack and the position coordinate dimension of the crack; dividing the finite element model of the bearing structure, and carrying out grid division processing on the crack surface; selecting a main degree-of-freedom node of the finite element model on the surface of the bearing structure and the crack surface; performing substructure analysis on the finite element model of the bearing structure; obtaining a mass matrix, a damping matrix and a stiffness matrix of the finite element model of the bearing structure after the degree of freedom is reduced; carrying out constraint simulation on a crack surface node by adopting a one-way nonlinear rigidity unit; processing constraint boundary conditions; processing the excitation load; and solving a dynamic second-order differential equation set, and judging whether the crack surface is in contact or not. According to the method, the opening and closing effects of the crack can be considered, the transient dynamic response of the crack-containing bearing structure under the action of the external load is obtained, and the solving precision and efficiency are both considered.

The invention relates to the technical field of three-dimensional modeling, particularly provides a three-dimensional geometric model conversion method, a controller and a storage medium, and aims to solve the problem of how to improve the model conversion efficiency of a three-dimensional geometric model. In order to achieve the purpose, the method comprises the steps that an original model file, containing model data in an active format, of the three-dimensional geometric model is obtained, a target application scene suitable for the three-dimensional geometric model obtained after model conversion is obtained, data mapping and data optimization are conducted on the original model file on the basis of the target application scene, and the three-dimensional geometric model is obtained. And obtaining a target model file containing the model data in the target format. According to the method, the target application scene of the three-dimensional geometric model is obtained in advance, invalid data and incomplete data in the original model file can be filtered, the model data in multiple source formats are converted into the model data adaptive to the target application scene, the data mapping and data optimization speed is increased, and the data mapping efficiency is improved. And the model conversion efficiency and the scene application degree of the three-dimensional geometric model are improved.

The present disclosure provides a machine learning-based method for measuring bending stiffness of a fabric, comprising: obtaining an image of a fabric to be tested placed on a three-dimensional geometric object; and determining the bending stiffness of the fabric to be tested by inputting the image of the fabric to be tested into a trained deep neural network.

The invention discloses a method for quantitatively designing the rigidity of a wing tooling flag, which comprises the following steps of: 1, establishing a three-dimensional geometric model of the tooling flag, and simplifying the three-dimensional geometric model to obtain a simplified model of the wing tooling flag; 2, mechanical boundary conditions are set for the simplified model of the wing tooling flag; step 3, establishing a constraint equation according to the simplified model of the wing tooling flag and the position of a load action point in the model; 4, applying a concentrated load to a load acting point based on the tool flag simplification model, and solving a displacement field result of the wing tool flag simplification model under the concentrated load; 5, carrying out grid division on the tool flag simplified model and carrying out data post-processing on grid units, namely obtaining a displacement matrix and total mass of the wing tool flag simplified model by adopting the displacement field result obtained in the step 4 and the grid units divided by the wing tool flag simplified model; and step 6, calculating an optimal tooling flag design scheme meeting the rigidity index requirement by combining structural parameters in the simplified model of the wing tooling flag and adopting the calculation mode in the step 5. According to the technical scheme, the optimal parameter scheme is selected in the design according to the calculation result, the weight of the tool flag is reduced on the premise that the rigidity of the tool flag is guaranteed, structural deformation caused by insufficient rigidity of the tool flag is avoided, the proposed rigidity quantitative design method can provide a theoretical basis for optimization design, and the method is suitable for popularization and application. The method is a rapid and effective design method.

The invention belongs to the technical field related to casting, and discloses a rapid tracking and predicting method and system for involved bubble movement in the casting and mold filling process. The method comprises the following steps: (1) carrying out grid division on a three-dimensional geometric model for casting and mold filling; (2) calculating the filling rate, the speed and the pressure intensity of each grid in a casting mold filling cavity at the moment i in the mold filling process; identifying bubbles in the cavity and grids contained in each bubble; and (3) repeating the step (2) until updating of the filling rates, the filling speeds and the pressure intensities of the grids in the bubbles at all moments is completed, so that tracking and prediction of bubble movement in the casting and mold filling process are realized. By means of the method, tracking and calculation of involved bubbles in the mold filling process are achieved, and the solving accuracy of casting numerical simulation software is enhanced.

The present application provides a method for processing three-dimensional (3D) model texture, a device, and a storage medium. The method comprises: in response to a selection operation on a target 3D geometric model to be displayed in an original 3D geometric model, determining a target parametric mesh corresponding to the target 3D geometric model, the target parametric mesh comprising the surface elements in the target 3D geometric model and original texture coordinates corresponding to vertices of the surface elements; determining an axis-aligned polygon surrounding the target parametric mesh, and segment the axis-aligned polygon to obtain a plurality of rectangular positional regions; determining, from within an original texture image, a plurality of rectangular texture image regions corresponding to the plurality of rectangular positional regions; recombining the plurality of rectangular texture image regions and obtaining a recombined texture image; and displaying the target 3D geometric model on the basis of the recombined texture image to output a target 3D model. By constructing an axis-aligned polygon to approximate a texture region which must be referenced, the introduction of redundant texture information is reduced.

The invention discloses a design method of a three-dimensional gradient minimum curved surface sandwich structure and the sandwich structure, and belongs to the field of minimum curved surface sandwich structure design, and the design method comprises the following steps: S1, constructing a three-dimensional density distribution characteristic model; s2, constructing a modeling equation of the three-dimensional geometric model of the Gyandroid minimal curved surface structure; s3, obtaining a modeling equation of the three-dimensional gradient minimum curved surface structure; s4, obtaining a three-dimensional model of the three-dimensional gradient minimal curved surface structure through modeling software; s5, preparing a three-dimensional gradient minimum curved surface structure through an additive manufacturing technology; s6, obtaining a three-dimensional gradient minimum curved surface gradient sandwich structure; and S7, performing performance evaluation. By the adoption of the design method of the three-dimensional gradient minimum curved surface sandwich structure and the sandwich structure, the minimum curved surface with the dimension relative density being in gradient change in three directions is designed, the energy absorption performance of the structure is effectively improved, and meanwhile more effective protection on a target is achieved.

Disclosed in the present invention is a matrix transformation-based improved design method for a diffuser. Firstly, inlet and outlet position information of a diffuser is extracted, and then a double-coefficient adjustable polynomial is used to design a central line of the diffuser between the centroid of an inlet section and the centroid of an outlet section, and a change rule of the area of each section of the diffuser along the central line. In the aspect of transition of the shapes of an inlet and an outlet of the diffuser, once the inlet section and the outlet section have been mapped to a ξ-η space, a plurality of transition shapes between the inlet section and the outlet section are obtained by using a matrix transformation-based improved algorithm. The shapes of the inlet and the outlet, and each transition shape jointly form the shape of each local section of the diffuser along the central line. On the basis of the shapes of the sections, the change rule of the sectional area, and the change rule of the central line, the final three-dimensional geometry of the diffuser can be constructed under an o-xyz three-dimensional coordinate system, and the three-dimensional geometric modeling of the diffuser can be flexibly and controllably designed.

A method for predicting the occurrence of surface defects on sheet metal components configured for production in a forming process, the method comprising the following steps: A1 Creating a virtual graphical representation of a sheet metal component that can be produced in a forming process with a defined three-dimensional geometry (G1,...,G N ) and defined component properties (E1,...,E N ); A2 Execution of a computer program comprising an algorithm that checks the virtual graphical representation and / or a virtual state of the sheet metal component and determines whether deviations of the surface of the sheet metal component from the defined three-dimensional geometry (G1,...,G N ) given surface are to be expected or not, if the sheet metal component is subjected to a specific, predefined forming process (P1,...,P N); wherein the algorithm is generated by a method comprising machine learning, wherein the machine learning is performed by means of input data which is available as output from a plurality of finite element simulation steps with which the production of various individual sheet metal components each having different three-dimensional geometries (G1,...,G N ) and / or different defined component properties (E1,...,E N ) in a specific forming process (P1,...,P N ) can be at least partially simulated.

One embodiment of the present invention sets forth a technique for generating a geometry for a shape. The technique includes inputting, into a machine learning model, (i) a noise sample and (ii) one or more conditioning inputs. The technique also includes generating, via execution of the machine learning model based on the noise sample and the one or more conditioning inputs, a two-dimensional (2D) position map associated with the shape. The technique further includes generating a three-dimensional (3D) geometry for the shape based on the 2D position map.

The invention relates to the technical field of annular piece forging, and discloses a batch design method and device for the blank size of boss-section ring forgings, and the method comprises the steps: building a first three-dimensional geometric model of the ring forgings and a second three-dimensional geometric model of annular blanks with the same volume as the ring forgings according to the design structure of the ring forgings, based on the first three-dimensional geometric model and the second three-dimensional geometric model, a three-dimensional finite element model of the ring forging formed by rolling the blank is established; obtaining the wall thickness of the boss and the section filling rate of the ring forge piece when the wall thicknesses of different blank pieces are rolled to the design size of the ring forge piece; constructing a section filling rate analysis function based on the wall thickness of the blank piece and the wall thickness of the boss of the ring forging piece; workblank wall thicknesses corresponding to the wall thicknesses of the bosses of the different ring forgings are calculated; according to the design height of the ring forge piece and the workblank piece wall thickness obtained through calculation, the workblank piece inner diameter corresponding to the same workblank size can be obtained, the workblank size can be efficiently and accurately determined, the section shape and size precision of the ring forge piece are guaranteed, and the period is shortened.

The invention relates to a digital manufacturing and construction method for a special-shaped stone veneer in a large venue, and aims to solve the problems of low machining precision, high mounting difficulty, low construction efficiency and the like of special-shaped stone in construction of an outer vertical face and an inner veneer of a building. The method comprises the following steps: firstly, measuring a building special-shaped structure by using a three-dimensional scanner or a BIM (Building Information Modeling) technology to generate a three-dimensional geometric model; based on the model, combining the material characteristics of the stone, and optimizing the geometric shape and size of the stone through a typesetting algorithm; then the optimized data are imported into five-axis CNC numerical control equipment for precise cutting; pre-assembly is conducted after cutting, errors are detected through laser scanning equipment, and adjustment is conducted till the precision requirement is met; and finally, a laser positioning system and a mechanical sensor are combined, a manual construction team manually installs the stone, and it is ensured that the installation precision meets the design requirement. According to the method, the machining and mounting precision of the special-shaped stone is effectively improved, the construction efficiency is improved, and the structural safety and the attractive effect of a building are guaranteed.

The invention discloses a viscoelastic boundary verification method, device and equipment based on isoparametric elements and a medium, and the method comprises the steps: building a three-dimensional geometric model of a target structure according to geometric dimensions and material attributes, discretizing the three-dimensional geometric model into initial three-dimensional subunits, and then building an initial finite element mesh model; after identifying a target boundary surface to be applied with an artificial viscoelastic boundary, assigning boundary parameters to obtain each three-dimensional subunit and form a finite element model; all the three-dimensional subunits are mapped to a standard unit through equal-parameter coordinate transformation, an equivalent stiffness coefficient matrix and an equivalent damping coefficient matrix are obtained through calculation and then stacked and assembled, and an overall stiffness matrix and an overall damping matrix are formed; and calculating displacement response data based on the overall stiffness matrix and the overall damping matrix. According to the embodiment of the invention, by introducing the isoparametric coordinate transformation, the irregular boundary form can be directly processed without introducing an additional boundary unit, and the calculation requirement of an actual complex engineering model is met.

The invention discloses a cooperative target and environment electromagnetic coupling strength evaluation method. The method specifically comprises the following steps: step 1, establishing a target three-dimensional geometric model; 2, establishing a background model of an actual scene, and constructing a composite model of the actual scene and a target; 3, verifying and repairing the composite model established in the step 2, and performing mesh generation on the verified and repaired composite model; step 4, using a bounce ray algorithm to calculate electromagnetic scattering characteristic data of a specified bounce order of the composite model subjected to mesh generation, and obtaining scattering capability data of a target to incident electromagnetic waves; 5, associating the scattering capability data obtained in the step 4 with the number of bounces; and step 6, obtaining a coupling strength evaluation result according to the correlation structure in the step 5. According to the method, the problems that the solving difficulty of coupling scattering of the composite model is high and the efficiency is influenced due to the uncertainty and randomness of an actual rough surface background in the prior art are solved.

A well wall stability prediction and optimization system based on real-time monitoring data relates to the technical field of oil drilling and comprises the following steps: acquiring real-time multi-source sensing data of a target well wall, marking an acquisition moment and setting an acquisition period; constructing a three-dimensional geometric model of the well wall and a stratum geometric model; setting a transition area, and performing grid division on the three-dimensional geometric model, the stratum geometric model and the transition area; acquiring scene features of each tetrahedral mesh in the three-dimensional geometric model and the stratum geometric model; performing real-time monitoring on the scene features of each tetrahedral mesh; and carrying out stability evaluation on each tetrahedral mesh, and carrying out mesh density refinement operation or prediction operation based on an evaluation result. According to the method, the accuracy and reliability of well wall stability prediction and optimization are improved, and the efficiency and safety of drilling engineering are improved.