77 results about "Grid deformation" patented technology

The invention relates to a silicon carbide femtosecond laser processing process simulation and morphology evolution prediction method, a medium and electronic equipment, and the method specifically comprises the steps: constructing a silicon carbide model, and carrying out discretization processing to obtain a silicon carbide grid model; fluid heat transfer parameters and fluid flow parameters are calculated; constructing a femtosecond laser heat source model; introducing the femtosecond laser heat source model into the double-temperature model and correcting the femtosecond laser heat source model; based on fluid heat transfer parameters and fluid flow parameters, coupling the corrected dual-temperature model with a Navier-Stokes model, and constructing a multi-physical field model; an ablation threshold value is set, and when laser energy reaches or exceeds the ablation threshold value, the grid deforms; calculating the grid deformation speed of the silicon carbide phase explosion; and simulating the removal process of the material according to whether the grid is deformed or not and the deformation speed thereof. According to the method, the multi-physical field model is constructed, so that the process of femtosecond laser processing of silicon carbide can be simulated more accurately, the actual processing condition is reflected, and the prediction accuracy of the processing process is improved.

The invention discloses a human-computer interaction method based on expression recognition, an interactive intelligent toy and a robot. The man-machine interaction method comprises the following steps: preprocessing a user face image collected in real time, and determining a face effective area; preset key point information in the face effective area is extracted; determining facial features based on preset key point information, and analyzing the facial features based on the constructed classification model to obtain user expression information; determining an expression intensity level based on a preset expression library and the user expression information; if the expression intensity grade is smaller than a preset threshold value, triggering a first strategy to carry out multi-target grid deformation adjustment on the to-be-deformed target object; if the expression intensity grade is not smaller than the preset threshold value, a second strategy is triggered to conduct three-dimensional deformation adjustment on the target object to be deformed, and the appearance of the target object obtained after deformation adjustment is matched with the expression of the user. According to the method, the intelligent degree of the target body can be effectively improved, and intelligent, rich and personalized interaction experience is provided for a user.

The invention discloses a DTG printing method and system based on line scanning camera visual deformation and rigid body positioning, and relates to the technical field of digital textile printing. Dynamic images are collected in real time through a line scanning camera, and image coordinates are mapped to a printing equipment world coordinate system through a coordinate calibration module in combination with a calibration matrix; real-time error compensation is used for dynamically eliminating coordinate offset, and a dual-mode positioning module intelligently switches a positioning strategy; rigid body positioning realizes accurate positioning of non-deformation materials through template matching; deformation positioning performs adaptive compensation based on feature point extraction and grid deformation analysis, an image mapping module inversely corrects target pattern deformation according to a positioning result to generate a high-precision TIF image, the high-precision TIF image is converted into a printing instruction through an RIP processing module, and an integrated control module performs one-key triggering and dynamic parameter configuration and performs printing on a target pattern. The collection efficiency is optimized through light source synchronization and self-adaptive triggering, the system stability is improved in combination with a template database and an exception handling module, and high-quality printing of complex deformation materials is achieved.

The invention relates to the technical field of rock lumpiness identification, in particular to a rock lumpiness laser indicating device, which comprises L groups of laser projectors which are respectively arranged in different directions of a breaking hammer mechanical arm; the acquisition module is used for being matched with the laser projector to acquire grid deformation size data; and the central processing unit is used for obtaining the grid deformation size data and analyzing and processing the grid deformation size data to obtain a rock lumpiness index. According to the method, laser grid light is synchronously projected in multiple directions, deformation size data are acquired from different visual angles, and complementation of the visual angles in different directions can be realized, so that the problems of'dead angles' and information loss caused by mutual stacking and shielding among rocks are remarkably reduced, the coverage rate and reconstruction integrity of the whole point cloud are improved, and the reconstruction accuracy is improved. Through multi-view point cloud splicing and fusion, the obtained point cloud model is higher in integrity and richer in edge information, and subsequent fragmentation identification based on a machine learning model is facilitated.

The invention discloses an enhanced electromagnetic track finite element simulation method, device and system and a storage medium, and the method comprises the steps: S1, generating an electromagnetic force through an electromagnetic module when a projectile is located at an initial position and current is introduced; wherein the performance of the rail is enhanced through circular flow of current in the enhanced rail; simulation of the contact resistance is realized through a weak contribution form of the contact resistance; s2, through a mechanical module, the armature is installed in a track through interference assembly, and electromagnetic force enables the armature to obtain acceleration and speed; wherein the armature moves to generate displacement so as to cause grid deformation; and S3, the electromagnetic module realizes control of armature displacement through moving the grid. By adopting the technical scheme of the invention, a contact layer does not need to be established, so that the calculation complexity is greatly reduced; and meanwhile, the enhancement effect of the parallel enhanced track can be quantitatively evaluated.

The invention discloses an offshore floating body FSI forecasting method and system based on bidirectional coupling of FVM and MBD. The method comprises the steps that a numerical pool model containing a floating body and surrounding fluid is established in a CFD solver; establishing a floating body structure finite element model in the MBD solver; constructing a bidirectional coupling mapping relation between a fluid grid and a structural grid based on a preCICE open source library to realize real-time transmission of data; calculating a floating body surface fluid load time calendar value through a CFD solver, and transmitting the floating body surface fluid load time calendar value to the structure model; the MBD solver calculates structural dynamic response and feeds back a deformation time calendar value to a fluid domain; fluid grid deformation is dynamically updated based on a Laplace solver; iteratively executing a load transfer-structure response-grid updating process until the pressure and displacement residual error meet a convergence condition; and outputting a coupling forecast result of the fluid load and the structural deformation. High-precision two-way coupling is achieved through the open source coupling library, and the accuracy of floating body structure dynamic response forecasting in the complex wave environment is remarkably improved.

The data-driven non-intrusive shape-topology collaborative optimization method and system disclosed by the present invention relate to the field of structural optimization. First, the present invention uses mesh deformation technology to perform parametric modeling on the structure, and uses shape equations to constrain the displacements of the structure control points, ensuring the regular and smooth shape of the structure after mesh deformation; secondly, the present invention uses a variety of solvers to perform topology optimization on models of different shapes to obtain multi-source topology optimization response data; finally, the present invention establishes a non-intrusive surrogate model between the shape design variables and the topology optimization response data, and obtains a shape-topology collaborative optimization scheme based on the non-intrusive surrogate model. The present invention takes into account the interaction between shape optimization and topology optimization, helps to expand the design space, has higher optimization efficiency and optimization ability compared with other shape-topology optimization methods, and does not require complex sensitivity formula derivation, facilitating its application to practical engineering.

The present invention relates to the field of aeroengine blade disk modeling, and specifically discloses a high-fidelity finite element model automatic modeling method for blade disk structure, including obtaining the point cloud data of the whole blade disk measured by an optical scanner; extracting the point cloud data of the blade, and distinguishing the point cloud data set of each blade by using a blade recognition algorithm; step 3, using a multi-feature clustering analysis algorithm to perform feature classification on each blade point cloud data, and respectively obtain the subdivided data sets of the blade top, pressure surface, and suction surface; step 4, using a mesh deformation algorithm to move the corresponding nodes in the standard finite element model to fit the classified subdivided data set, and using a radial basis kernel function to maintain the unit shape and mapping, and obtain a geometric detuned finite element model matching the measured whole blade disk. The method can quickly convert the subdivided scanning data into a high-fidelity finite element model, while ensuring high robustness and accuracy.

According to one aspect of the present disclosure, a method of mesh-deformation prediction is provided. The method may include generating a set of global features based on mesh information associated with a mesh of an avatar head. The mesh information may include a plurality of first vertex positions of the mesh corresponding to the avatar head being in a neutral pose. The method may include generating a set of mesh deformations for another pose of the avatar head based on the mesh information, the set of global features, and a pose vector associated with the another pose. The set of mesh deformations may be associated with a plurality of second vertex positions of the mesh corresponding to the avatar head in the another pose. The method may include performing a skinning process to generate a plurality of joints and joint weights based on the set of mesh deformations.

The present application belongs to the technical field of image processing, and specifically relates to a three-dimensional face model automatic generation method, which is characterized by the following specific steps: data loading processing, user model generation based on computer vision, user model grid re-topology, model grid local shape optimization, model grid fusion splicing, and output result model. The grid generation method ensures 2D mapping accuracy according to face key points; the grid deformation and smoothing method makes the user model and the standard face model closer in 3D space under the premise of reasonable deformation, so that the mapping is more accurate; the re-topology model grid local shape optimization utilizes original grid information to correct the grid deformity and improve the quality of the model. The model grid fusion splicing adopts the grid deformation and grid smoothing method, so that the output result meets the design requirements, guarantees the integrity and high quality of the model, and reduces the post-processing work.

The invention belongs to the field of structure optimization design, and discloses a coordinate space mapping-based geometric reconstruction method for topological optimization characteristics of a curved surface blade structure. On the basis of a topological optimization result of a three-dimensional curved surface blade structure of an engine, topological optimization geometric reconstruction is carried out on internal ribs, deformation from a three-dimensional grid to a two-dimensional grid is realized firstly, and a three-dimensional node grid is mapped to a rectangular flat plate according to a certain proportion through grid deformation according to a three-dimensional density optimization result. Secondly, processing a density result of the surface of the flat plate to obtain a plane density image, capturing key geometric features according to an image morphological processing and skeleton extraction technology, and obtaining skeleton point coordinates of corresponding parts; and mapping the extracted pixel skeleton points back to grid nodes in an actual two-dimensional model, mapping back to grid nodes of an original three-dimensional blade according to the two-dimensional grid nodes, reconstructing the model in CAD software according to the three-dimensional grid nodes, and completing geometric reconstruction of topological optimization of the three-dimensional curved surface structure in combination with an original cavity structure.

The present invention belongs to the field of aerospace technology, and relates to a numerical simulation method for bidirectional fluid-solid coupling of unmanned aerial vehicle recovery, comprising the following steps: dividing a simulation object into different calculation areas to obtain an external flow field calculation domain and a solid calculation domain; meshing the solid calculation domain to obtain a solid calculation grid; meshing the external flow field calculation domain to construct an overlapping grid after interpolation; calculating the overlapping grid after interpolation to obtain flow field data; calculating the solid calculation grid to obtain solid deformation data; outputting the coupling result of the flow field data and the solid deformation data by means of fluid-solid bidirectional coupling; taking the unmanned aerial vehicle recovery time T0 as a judgment condition, if the fluid-solid coupling simulation time T<T0, the external flow field calculation domain grid performs grid torsion deformation and local grid regeneration according to the grid deformation threshold, and the solid geometry domain grid performs grid reconstruction; if T≥T0, the calculation result is output, and different applicable material properties of the simulation object are changed.

The invention discloses a quantitative prediction method for progressive wear of hydraulic mechanical system components based on a dynamic grid technology. The quantitative prediction method comprises the following steps: constructing a three-dimensional geometric model of fluid machinery; cFD numerical calculation is carried out on the basis of the three-dimensional geometric model of the fluid machine under specified boundary conditions, and an internal steady-state initial field of the fluid machine is obtained; based on the steady-state initial field in the fluid machinery, injecting sediment particles, and introducing a wear model to obtain a transient sand-containing stable flow field; on the basis of the transient sand-containing steady-state flow field, the abrasion depth is calculated according to the wall surface damage rate; calculating the difference value between the wear depth at the current moment and the wear depth at the previous moment, and obtaining the grid deformation at the current time; and according to the grid deformation at the current time, decomposition is carried out in the particle impact speed direction, the effect of changing the wall surface morphology is achieved, and the abrasion depth, the wall surface morphology change and the transient flow field change at the total time are obtained. The prediction precision of the mechanical wear depth of the fluid is improved.

The invention discloses a contour feature-preserving grid deformation system and method for virtual fitting. The method comprises the following steps: creating a human body model database; training a clothing category classification and key point detection model and a clothing segmentation model; after the contour line of the garment is extracted, subdividing a garment area by a triangular mesh, and performing differential deformation through similarity transformation and garment mesh; constructing a linear least square sparse system about a clothing contour line to solve a new contour line; performing a mold penetrating test on the closed contour point; iteratively executing sparse system solution and model-penetrating test of the contour-preserving features until the model-penetrating test is passed, and executing clothing mesh deformation by taking the contour line as a position constraint; and decomposing the clothing picture into the foreground and the background according to the clothing segmentation result, and performing hierarchical fusion with the human body model to complete virtual fitting, thereby solving the problem of contour distortion caused by severe deformation of the clothing picture in the virtual fitting application based on image processing, reducing the use cost of the user, and providing economical, convenient, real and natural fitting experience for the user.

The present disclosure provides a local aerodynamic heat optimization method and device based on discrete adjoint. The method includes: drawing a structural grid of the local component under the oncoming flow condition according to the initial shape of the local component to be optimized and the oncoming flow condition; obtaining a control box required for grid deformation of the structural grid, the interior of the control box contains grid boundary points to be optimized, and the grid boundary points form the physical surface of the local component; optimizing and updating the control box to obtain the optimized coordinates of the control box; optimizing the initial shape according to the optimized coordinates and the oncoming flow condition to obtain the target shape of the local component. In this embodiment, the shape of the local component can be optimized with the aerodynamic heat environment as the objective function, and a large heat reduction benefit can be obtained at the cost of a small shape deformation without affecting the overall aerodynamic performance of the aircraft.

The present application relates to the field of virtual reality graphics processing, and discloses a virtual reality processing method for simulating a psychological situation, comprising: acquiring a line-of-sight focus data and calling a target grid model; calculating a deformation coefficient according to a spatial distance, completing low-pass filtering in combination with a historical frame smoothing weight to calculate a grid deformation transformation matrix; multiplying the matrix by a grid vertex coordinate to output a deformed grid vertex coordinate, and simultaneously enlarging each axis radius of an axis-aligned bounding box by 1.5 to 2.0 according to an expansion coefficient and updating a scene tree search node; extracting an absolute value of the matrix determinant as a deformation rate and passing it to a fragment shader to control a diffuse reflection field, and completing grid color rendering, wherein the present application converges grid morphological distortion in a grid transformation stage, uses in-situ transformation to eliminate topology reconstruction and bus retransmission, eliminates bus bandwidth saturation hazards, eliminates visual cone body rejection defects in cooperation with dynamic expansion of a bounding box, and guarantees a view refresh rate and spatial realism.

Embodiments of the present disclosure relate to an image processing method, device, equipment and medium, wherein the method comprises: acquiring a plurality of groups of image pairs with different grid resolutions; according to the order of the grid resolutions from small to large, sequentially calculating the grid vertex positions of the corresponding second images according to the corresponding second images and the associated reference images of each group of image pairs in the plurality of groups of image pairs, and sequentially passing the grid vertex positions of the previous grid resolution to the next layer until the target grid deformation image of the image pair corresponding to the maximum grid resolution is acquired, and calculating the grid flow according to the target grid deformation image and the first image, so as to align the original reference image and the first image according to the grid flow. Thus, the grid vertex positions of the previous pair of images are passed from coarse to fine according to the order of the grid resolutions from small to large to control the grid shape deformation, and the grid flow is determined according to the deformed grid, thereby improving the acquisition efficiency and robustness of the grid flow and improving the image alignment effect.

The invention discloses a composite material lightning stroke dynamic ablation simulation method based on ABAQUS. The method comprises the specific steps that S1, an anisotropic composite material three-dimensional model is established; s2, applying lightning stroke current and heat flow load, setting a variable initial value at normal temperature, and calculating the pyrolysis degree, potential and temperature field of each node; s3, giving a grid deformation displacement load in a static ablation depth direction, and driving the nodes to move to simulate deformation; and S4, constructing an information transfer matrix, mapping a temperature update grid, and taking the update grid as a next electrothermal analysis initial material domain. According to the ABAQUS-based composite material lightning stroke dynamic ablation simulation method provided by the invention, flowing of a dynamic grid between different layers of an anisotropic composite material laminated plate is realized, and parallel coupling calculation of composite material temperature rise and surface ablation depression is realized.

The application discloses a kind of based on dynamic mesh technology's hydraulic machinery system component progressive wear quantity quantification prediction method, comprising: constructing fluid machinery three-dimensional geometric model;CFD numerical calculation is carried out under specified boundary condition based on fluid machinery three-dimensional geometric model, obtains fluid machinery internal steady-state initial field;Based on fluid machinery internal steady-state initial field, inject silt particles, introduce wear model, obtain transient sand steady flow field;Based on transient sand steady flow field, according to wall surface damage rate, calculate wear depth;The difference of wear depth of current time and last time is calculated, and the grid deformation of current time is obtained;According to the grid deformation of current time, it is decomposed in particle impact velocity direction, reach the effect of wall surface topography change, obtain wear depth under total time, wall surface topography change, transient flow field change.The application improves the prediction precision of fluid machinery wear depth.

The invention discloses a three-dimensional net capture visualization method based on simulation data. The three-dimensional net capture visualization method is used for efficiently presenting the dynamic wrapping effect of a rope net capture target at a Web end. Comprising the following steps: S1, calculating AABB and OBB of a target to be captured, uniformly sampling on the surfaces of bounding boxes, emitting rays along an outer normal, colliding with the surfaces of the target to solve an offset distance, comparing average fitting distances of the two types of bounding boxes, and selecting an optimal bounding box; s2, the sampling density is determined according to the mesh size, the opposite face of the incoming direction is removed, sampling points are generated on the other five faces, the sampling points and the mesh body nodes are bound one to one according to the minimum space distance, redistribution is carried out if conflicts occur, and a mapping dictionary M is output; and S3, by taking the simulation position at the contact moment as a starting point, performing linear interpolation on the nodes in the M to a target position according to a fixed time window delta T, reading simulation data by other nodes, and submitting WebGL to drive grid deformation, thereby realizing vivid transition from free motion to target fitting, avoiding real-time recalculation at a browser end and improving rendering performance.

The invention discloses a hyperelastic material large strain visual measurement method based on surface grid deformation identification, which comprises the following steps: processing a hyperelastic material to be measured into a dumbbell-shaped sample, and constructing uniformly distributed regular grid lines on the surface of a scale distance section of the sample; stretching the sample at a preset stretching rate, and continuously collecting surface grid deformation images of the sample while stretching; identifying the position of each grid line in each frame of image; and according to the position change condition of the corresponding grid lines in the two adjacent frames of images, determining the strain condition of the hyperelastic material at each moment under the preset stretching rate. The invention aims to solve the problems that a traditional measurement method is inaccurate in measurement under the condition of large strain of the hyperelastic material, for example, speckles chapped and deformed in a random speckle sample laying method are difficult to recover, an extensometer cannot obtain local strain and results have uncontrollable factors, and a traditional DIC method is large in measurement error under large strain.

The invention provides a grid deformation and particle deposition layer and wall surface transient thermal coupling temperature prediction method. In the modern industrial field, high-efficiency operation and precise maintenance of high-temperature heat flow equipment are crucial. The traditional simulation method neglects the existence of a sedimentary layer or simplifies the sedimentary layer, so that the prediction of the heat transfer characteristics of the thermal boundary has deviation. Through the user-defined function UDF, the deformation of the deposition layer is dynamically predicted, the heat conductivity coefficient of the deposition layer is synchronously updated and assigned, the deposition layer and the solid wall surface are coupled, and then the influence of the particulate matter deposition layer on the heat exchange characteristic of the high-temperature heat flow equipment is predicted. The prediction accuracy of thermal boundary change caused by particle deposition in high-temperature heat flow equipment is improved, and the problem of prediction deviation in traditional simulation is solved. According to the method, the influence of the particulate matter deposition layer on the heat exchange characteristics of the high-temperature heat flow equipment can be accurately predicted, and the method has certain guiding significance on design, operation and maintenance of the high-temperature heat flow equipment through which the particulate matter flows.

The present invention discloses a radial basis function mesh deformation method based on virtual nodes and an airfoil design method. Currently, generating a high-quality deformed mesh by a mesh deformation method is still an open problem. The present invention first obtains the distribution of internal virtual nodes based on the internal normal of the moving boundary point; then reduces the number of internal virtual nodes to obtain a small number of uniformly distributed internal virtual nodes; then obtains the displacement of each internal virtual point by interpolation of K adjacent boundary nodes; finally, uses the internal virtual nodes and the original boundary nodes to construct the linear equilibrium equation of the object surface, solves the coefficient matrix, and thus interpolates and calculates the displacement of the internal nodes to obtain the deformed mesh. The present invention effectively improves the quality of the deformed mesh and the degree of mesh deformation, and realizes the rapid generation of high-quality mesh units for the deformation of the aircraft airfoil section. This greatly reduces the time and computing power required for aircraft airfoil optimization.

Aspects and features of the present disclosure relate to providing injective three-dimensional (3D) deformations based on two-dimensional (2D) mesh deformations. For example, a method involves defining at least one 2D mesh deformation based on a designated position of an object represented by an input neural radiance field (NeRF). The method also involves applying the 2D mesh deformation(s) to a 3D piecewise-linear map that operates over a plane and preserves a normal direction to produce prismatic maps. The method further involves composing a 3D deformation for the object from layers defined by the prismatic maps, and parameterizing the 3D piecewise-linear map. The method additionally involves storing or rendering, using the 3D piecewise-linear map, a deformed NeRF injectively representing the object in the designated position. Aspects also include computer systems, apparatus, and computer programs configured to perform the method.

A fast airfoil grid deformation method based on principal component analysis, which selects n different airfoils and generates corresponding flow field grids; extracts the grid point coordinates of each airfoil flow field grid, writes the mapping relationship between each grid cell and the grid coordinate points into matrix E, and writes the grid point coordinates into matrix P; uses the principal component analysis method to calculate the principal component coefficient matrix C, the principal component score matrix S, the interpretation degree vector e and the coordinate mean vector μ of matrix P; calculates the principal component dimension m; calculates the first m-dimensional principal component score vector Sm of the initial airfoil grid point coordinate vector N to generate a new principal component score vector Sm'; obtains the deformed airfoil grid coordinate vector Nt; writes the vector Nt and matrix E into a grid file according to a specific grid file format, and regenerates a new airfoil grid to realize airfoil grid deformation. In this method, the amount of calculation involved in grid deformation is very small, so it has very high computational efficiency and reduces the time consumption of grid deformation.

This invention belongs to the field of automotive parts manufacturing, specifically involving a simulation system, method, equipment, and medium for evaluating the impact of materials on wheels. Based on a target wheel test bench, a corresponding simulation model is established; several sets of material properties, yield strength and tensile strength, are input to generate SN curves; corresponding stress criteria are generated based on the SN curves; the corresponding weight is obtained, optimization results are obtained, and the optimization results are evaluated. This invention converts the wheel bending fatigue life into equivalent fatigue strength through SN curves, and uses high-order mesh deformation technology to quickly and efficiently evaluate the impact of yield strength and tensile strength on wheel weight. It provides a scientific and accurate simulation prediction method for evaluating the impact of material properties on wheel weight, with broad application prospects and market value. This addresses the problem of difficulty in quickly and accurately evaluating the quantitative impact of new materials on wheel weight under bending fatigue conditions.

The present invention relates to a spherical grid hoisting construction control method and system based on overall positioning, which relates to the field of hoisting control. The method pre-collects a welding parameter array to perform welding deformation analysis, utilizes a hoisting equipment array to hoist according to preset parameters and performs overall positioning monitoring at a specific time, analyzes grid deformation in combination with welding deformation parameters, and then optimizes hoisting parameters to achieve precise hoisting of the spherical grid. The method solves the technical problems of difficult installation, difficult precision assurance, high safety risks of high-altitude operations, and long construction period in the hoisting construction of the spherical grid, thereby achieving the technical effects of improving hoisting precision, shortening construction period, reducing safety risks, and ensuring structural stability.

The invention discloses a moving femtosecond laser processing morphology prediction method considering light spot evolution, and particularly relates to the field of femtosecond laser processing. Comprising the following steps: establishing a three-dimensional geometric model of a to-be-processed material, and performing mesh generation on the three-dimensional geometric model to obtain a mesh model; establishing a dual-temperature model; determining laser intensity; determining a laser source item according to the laser intensity, and inputting the laser source item into the double-temperature model to obtain lattice temperature and electron temperature; when the lattice temperature is greater than or equal to the sublimation temperature, determining a grid deformation speed, removing a material of the grid model according to the grid deformation speed to obtain a deformed grid model, and obtaining an ablation depth; in the next pulse, the radius of the light spot is updated; and the lattice temperature, the electron temperature and the ablation depth are updated until the lattice temperature and the electron temperature are balanced, and the final ablation depth is obtained. Based on the method, the prediction accuracy can be improved.

This invention relates to the fields of remote sensing and geographic information engineering technology, and particularly to a land use change identification method driven by multi-source spatial data. The method includes: acquiring multi-source spatial data covering a target area and performing standardized preprocessing to generate a priori land use map as the data assimilation background field; constructing a land use abundance change process model based on material conservation, and obtaining a spatial discrete framework through adaptive grid deformation; establishing a multi-source differentiable observation operator, and solving the core parameters through four-dimensional variational assimilation with land use conversion constraints to complete land use change identification and rolling dynamic monitoring. In this invention, land use change is modeled as a continuous physical process, overcoming the limitations of traditional discrete-time hard classification and comparison methods. This effectively improves the temporal coherence of change identification and the consistency of multi-source data fusion, meeting the needs of high-precision long-term land use dynamic monitoring, and providing stable and reliable data support for natural resource surveys, monitoring, and land spatial management.

The present invention discloses a crane monitoring method, computer equipment, and storage medium based on digital twins, which relate to the field of crane technology. The method includes: constructing a crane arm grid model; inputting real-time dynamic data into a pre-trained RBF proxy model to output real-time coarse grid deformation data and real-time coarse grid stress data of coarse grid nodes; coloring the crane arm grid model according to the real-time coarse grid deformation data or the real-time coarse grid stress data to generate a crane arm model with a cloud effect; processing a pre-constructed crane arm proportional three-dimensional model according to real-time component relationships to generate a prototype model without a cloud effect; and constructing a stress-strain digital twin model of the crane arm based on the crane arm model and the prototype model. By adopting the present invention, the changes in the crane's geometric shape and stress-strain state during operation can be accurately understood, ensuring the safe operation of the crane and reducing safety hazards during construction.