33 results about "Radial basis function interpolation" patented technology

The invention discloses a three-dimensional geological model dynamic updating system and method based on multi-modal data fusion, and belongs to the technical field of geological engineering and information. According to the method, multi-source data of geological radar, earthquake, drilling, remote sensing and the like are integrated, and after unified formatting and quality optimization preprocessing, geological features of a stratum interface, a fault zone and the like are automatically extracted by using a deep learning network; multi-source feature data fusion is realized through space-time registration and attention; constructing a three-dimensional geologic model by adopting a TIN and Octree mixed structure based on a fusion result; dynamic updating of the model is realized through incremental detection and a local reconstruction mechanism, and the boundary of the model is optimized by adopting a radial basis function interpolation. According to the method, the problems of single data, updating lag and the like of a traditional method are solved, the modeling precision and efficiency are remarkably improved, and reliable support is provided for geological engineering decision making.

The invention provides a real estate surveying and mapping method and system based on block division, and the method comprises the steps: obtaining real estate data, constructing a global relationship network, dividing the global relationship network through a community discovery algorithm, obtaining adaptive blocks, obtaining point cloud data in the adaptive blocks, inputting the data into a three-dimensional deep learning model, and outputting a three-dimensional semantic structure. The method comprises the following steps: setting a specific influence factor, obtaining related data of the specific influence factor, generating a basic influence field in combination with a ray tracing engine, obtaining a residual fitting field through a radial basis function interpolation network, fitting the basic influence field and the residual fitting field, and obtaining an influence factor field; probabilistic digital twins are obtained through a three-dimensional semantic structure and an influence factor field, sampling simulation is performed on the probabilistic digital twins, a simulation result is obtained, surveying and mapping are performed based on the simulation result, and the accuracy and scientificity of real estate surveying and mapping are improved through a surveying and mapping method of adaptive division, semantic modeling and probabilistic verification.

The invention relates to the field of aero-engine complete machine full-three-dimensional numerical simulation, and discloses an aero-engine complete machine full-three-dimensional simulation initial field presetting method and system, and the method comprises the steps: obtaining initial flow field boundaries of different parts from the zero-dimensional level of a complete machine by solving inlet section parameters and outlet section parameters of each part; then obtaining an initial field of each blade row in a turbine part, which has the most critical influence on the convergence of an engine, through a quasi-three-dimensional layer S2, and realizing initial field decomposition from the part to the part; and finally, by adopting a radial basis function interpolation method, mapping the zero-dimensional data and the S2 quasi-three-dimensional parameters to each grid unit of the complete machine full-three-dimensional model of the aero-engine, and then smoothly splicing the initialized flow fields of all the components at the interface to form a continuous complete machine three-dimensional simulation initial field under the examination working condition. The convergence of a whole machine simulation example, the simulation convergence speed and the numerical stability are greatly improved, the simulation trial and error iteration is reduced, the pretreatment time consumption is reduced, and the simulation speed and efficiency are improved.

The invention relates to the technical field of data processing, and discloses a tooth three-dimensional model parameterization description method, which comprises the following steps: carrying out standardization processing on local point cloud data of teeth to obtain three-dimensional model data of the teeth; meshing the three-dimensional model data to obtain triangular mesh model data of the teeth; integrating a dental crown edge, an occlusal surface and a root boundary region in the triangular mesh model to obtain a key feature region of the tooth; according to curvature change characteristics in the key feature region, identifying anatomical mark points of the teeth, and removing noise points in the anatomical mark points to obtain a feature point set of the teeth; mapping the feature point set to a two-dimensional parameter space, generating a continuous parameterized surface through radial basis function interpolation, and performing geometric reconstruction on the parameterized surface to obtain a parameterized description model of the tooth; outputting the parameterized description model as parameterized description of the teeth; according to the method, the parameterized description efficiency of the tooth three-dimensional model can be improved.

The invention relates to the technical field of photoelectric display, and provides an area array chromaticity data multi-point correction method based on a two-dimensional Gaussian basis RBF interpolation method, and the method comprises the steps: obtaining a first chromaticity data array of a measured surface and second chromaticity data of M correction points in the measured surface; constructing a two-dimensional Gaussian radial basis function interpolation model sharing a group of shape parameters based on the positions of the correction points; solving a weight parameter of each Gaussian basis function according to the first chrominance data array and the second chrominance data at the correction point; and performing point-by-point correction on the first chrominance data array by using the solved model. According to the method, fitting precision and smoothness of chromaticity space nonlinear change are effectively balanced through adaptive shape parameters, the chromaticity relation consistency is kept by adopting a multi-channel coupling correction mode, and correction precision and efficiency are effectively improved.

A kind of open pit model dynamic updating method based on real-time positioning of excavator and SDF belongs to the technical field of digital mine. The initial pit triangular mesh model is voxelized to generate a three-dimensional symbolic distance field based on the definition of vertical coordinate symbol. The three-dimensional positioning data of the center of rotation of the excavator is collected in real time through the GNSS-RTK positioning module, and the working state is judged based on the preset time window and displacement threshold. When the excavator switches from displacement state to digging state, a spherical mining influence domain is constructed with the current positioning data as the center of the sphere and the maximum digging radius as the radius, and the voxel symbol distance field value in the domain is set to 0. A control point set is constructed by boundary constraint points and background constraint points, and global symbol distance field smoothing reconstruction is realized by using radial basis function interpolation. The zero value isosurface is extracted by moving cube algorithm to generate the updated pit model. The present application realizes high-frequency model updating synchronized with operation, has low deployment cost and strong robustness, and solves the problems of model updating lag and visualization penetration.

The invention provides a numerical simulation method for fluid-structure interaction vibration of wind tunnel airflow and a tunnel wall structure, and belongs to the technical field of wind tunnels. Geometric parameters of a wind tunnel section are obtained, a multi-layer grid sequence is established, an implicit Runge-Kutta format and an explicit Newmak method are adopted to solve a flow field and a structure field respectively, and the wind tunnel airflow and tunnel wall structure fluid-structure interaction vibration is obtained. Mesh deformation is realized by using tightly-supported radial basis function interpolation, a volume conservation constraint is introduced, an interface projection matrix is constructed based on a virtual work equivalence principle to transmit interface data, a force balance and displacement coordination constraint is introduced, and coupling iteration convergence is accelerated through an inverse Broyden formula. A density gradient shock wave sensor is adopted to drive grid adaptive encryption and a mixed indicator function to control turbulence model switching, and the technical problems that wind tunnel section airflow and wall surface structure fluid-structure interaction vibration numerical simulation calculation is low in efficiency and insufficient in precision are solved.

The invention relates to the technical field of curved surface deformation design, and discloses a parameterized channel curved surface deformation method and device based on radial basis function interpolation, and the method comprises the steps: creating an initial structure model of a target blade curved surface, and determining an initial channel curved surface; arranging a plurality of control points on the initial channel curved surface according to a preset point scattering rule, and interpolating by using a radial basis function to obtain a parameterized channel curved surface; on the basis of parameterized channel curved surface computational fluid mechanics, iterative optimization is carried out on the displacement of each control point by taking a computational fluid mechanics result as an optimization target, and the optimal displacement of each control point is obtained; and according to the optimal displacement of each control point, calculating the optimal displacement of each deformation point by using a radial basis function interpolation so as to carry out deformation. The displacement relation between each deformation point and each control point is determined by using radial basis function interpolation, the curved surface parameters are quantified, far and near curved surface deformation can be controlled according to different degrees of displacement of different control points, the deformation precision is improved, and the deformation reaches the optimal performance point.

The invention discloses a simulation experiment method and system for different damp positions of an oil-immersed bushing capacitor core. According to the method, firstly, measuring points are arranged along the surface of a damped capacitor core, the moisture concentration is measured, a discrete data set of the moisture content is obtained, then a radial basis function interpolation method is adopted, the measured moisture data is further expanded, dense data points on a three-dimensional regular grid in the bushing capacitor core are obtained, and the moisture content of the bushing capacitor core is calculated. Flux and divergence thereof are calculated according to a moisture diffusion rule, and space coordinates of the damp position are determined through threshold screening and weighted calculation. Accurate positioning of the damp invasion position of the oil-immersed bushing capacitor core is realized, and the reliability of insulation state evaluation and fault early warning is improved.

This application relates to the field of game and animation production technology, and in particular to a method for modifying the appearance of animated characters, an electronic device, and a storage medium. This application first identifies the target driving bone from the skeletons of the target character model and adds a modification control component to the target driving bone; it then identifies the target modification controlled object associated with the target driving bone from a pre-set candidate control list; it captures bone pose transformation commands through the modification control component and determines the initial pose data, target pose data, and process pose data of the target character model based on the bone pose transformation commands, and then performs pose distance analysis to obtain a pose distance matrix; it performs radial basis function interpolation calculation based on the pose distance matrix to determine the corresponding modification weights for the process pose data; and finally, it performs character modification on the target modification controlled object to obtain the target animation of the modified character model. This method improves visual expressiveness while ensuring animation production efficiency.

The invention discloses a bucket wheel machine thermotechnical measuring point digital twin modeling and fault visual presentation method, and relates to the technical field of bucket wheel machines. The technical problems that in a traditional bucket wheel machine unattended system, due to the fact that a fault early warning function depends on a simple threshold value rule, a shallow diagnosis layer, a black box and response lag are caused are solved, electrical parameters are deeply analyzed to obtain a global state coefficient, then the three-dimensional laser scanning and radial basis function interpolation technology is utilized, and the fault early warning function is obtained. Reconstructing the temperature data of the limited measuring points into a continuous and high-fidelity three-dimensional temperature field so as to generate a visual thermal image evolution sequence; and finally, time sequence analysis is carried out based on the thermal image evolution sequence, sensitivity adjustment is carried out with the assistance of a global coefficient so as to output a temperature anomaly index, a composite type three-dimensional model is constructed according to the temperature anomaly index, the digital twin technology is successfully promoted to the engineering application level, and the intelligent level of bucket wheel machine state monitoring and fault early warning is improved.

A pneumatic humanoid dexterous hand collaborative planning and robust control method based on digital twinning belongs to the technical field of robot dexterous hand control and pneumatic driving, and comprises the following steps: establishing a digital twinning model and realizing virtual-real bidirectional mapping; constructing a task target and a constraint set, and obtaining a gesture and a capture intention; generating an initial reference trajectory by adopting a multi-quadratic radial basis function interpolation, and performing constraint optimization by taking the initial reference trajectory as a priori and combining full multiple targeting differential dynamic programming and an augmented Lagrange method to obtain a five-finger collaborative trajectory meeting joint boundary and task constraints; establishing a finger Lagrange dynamics and tendon rope transmission model; designing a nonlinear extended state observer to estimate coupling online; and constructing self-adaptive backstepping super-torsion sliding mode control and introducing disturbance compensation to realize high-precision robust tracking. According to the method, the planning feasibility is improved through assistance of the twin environment, and the precision and robustness of the dexterous hand in the grabbing process are remarkably enhanced.

The invention discloses an aircraft structure damage identification method, system and device and a computer medium, and relates to the technical field of aircrafts, and the method comprises the steps: obtaining a target model of a to-be-identified structure in an aircraft; generating a target stiffness distribution information field of the target model based on radial basis function interpolation; changing a coefficient of a radial basis function node in the target rigidity distribution information field to simulate damage, and generating strain variations before and after the change of the radial basis function node as reference strain variations; acquiring the actually measured strain variation of the to-be-identified structure; determining a target radial basis function node according to the similarity between the actually measured strain variation and the reference strain variation; determining the damage position of the to-be-identified structure based on the position corresponding to the target radial basis function node; and determining the damage degree of the to-be-identified structure based on the identified damage position. Damage identification is carried out through the radial basis function interpolation and the strain variation, the accuracy of damage identification is improved, and the method is low in cost and easy to popularize.

This invention discloses a method, system, and storage medium for geochemical data interpolation under multiple constraints. The method includes: acquiring geochemical element sampling information within a study area and constructing a radial basis function (RBF) interpolation model; adding tangent constraints, gradient constraints, and range constraints to the RBF interpolation model based on geological information to construct a multi-constraint RBF interpolation model; transforming the multi-constraint RBF interpolation model into a quadratic objective function with tangent and gradient constraints as equality constraints and range constraints as inequality constraints; and solving the quadratic objective function using an iterative interpolation method to obtain the geochemical data interpolation results within the study area. This invention applies a generalized radial basis interpolation method, providing a universal framework for adding different types of constraints through linear functionals. It can calculate interpolation results that better conform to geological laws and expert understanding, and has significant application value for geochemical mapping based on this method.

The invention discloses a dynamic regulation and control method for the water cooling strength of a molten iron trough based on infrared temperature field reconstruction, and belongs to the field of metallurgical equipment cooling control. According to the method, multi-source data are collected and preprocessed through multi-dimensional measuring point layout, a global temperature field is reconstructed by adopting a radial basis function interpolation fusion algorithm, and the residual ledge thickness and the erosion rate are calculated in combination with a heat conduction law and an erosion correction model; linkage regulation and control of water cooling parameters are realized according to a multi-dimensional threshold system, and the temperature field uniformity is guaranteed through graded alarm early warning risks and a closed-loop optimization algorithm; and storing full-process data, generating a dynamic maintenance plan based on an attenuation prediction model, and performing parameter adaptive calibration to optimize the precision. A traditional high-risk detection mode is abandoned, the water-cooling regulation and control accuracy and the equipment operation stability are improved, the service life of the lining body is prolonged, the energy consumption and the maintenance cost are reduced, and safety, accuracy and intelligentization of molten iron runner operation management are achieved.

The application relates to the technical field of magnetic field detection, in particular to a magnetic shielding cavity residual magnetic field strength measuring device and method, which comprises a probe tube, a detection system, a stabilizing system and a data processing terminal, the probe tube can be telescoped and rotated, the detection system is fixedly installed on the probe tube, the stabilizing system is arranged outside the probe tube and is used for offsetting the gravity moment of the probe tube and feeding back the tilting state of the probe tube in real time, and the data processing terminal realizes data interpolation and residual magnetic field cloud map generation in the magnetic shielding device. In the method, the carbon fiber probe tube is inserted through a magnetic shielding cavity cover plate, a support frame is adjusted and locked, then the probe tube is telescopically adjusted stage by stage, the probe tube is rotated after each telescopic adjustment, magnetic field data of each point is recorded, spatial coordinates of each measuring point are calculated by combining a probe tube scale and a rotation angle, a three-dimensional residual magnetic field cloud map is generated by using a radial basis function interpolation method, the cloud map distribution is analyzed, a shielding weak area is located, and structure optimization is guided.

The application discloses a kind of 3D printing topological optimization method and system based on RBF mapping and genetic algorithm, method includes the following steps: angle initialization is carried out to each individual using mixed strategy, and density initialization is carried out to synchronous constraint density interval;Each individual is mapped based on three-dimensional radial basis function, and low-dimensional global control point is mapped into local angle field, density field;Local optimization is carried out using finite element analysis and sensitivity filtering, and angle and density are updated jointly;Global optimization is carried out based on genetic algorithm and local feedback;After population recombination, iteration is carried out until meeting the target function convergence judgment and the maximum iteration number limit, and iteration ends, and the optimal solution is output.The significant effect is: combined with genetic algorithm (GA) and radial basis function (RBF) interpolation model, anisotropy is considered using transverse isotropic model, compared with existing method, calculation time is significantly reduced, and optimization effect is significantly improved.

This invention relates to the field of intelligent driving technology, and provides a method, system, and computer for generating virtual fatigue driving samples. The method includes: assigning several facial key point labels and several posture angle labels to training images; training a key recognition model based on a facial recognition algorithm; constructing several 3D mesh head models based on several facial features; acquiring several experimental fatigue images and inputting them into the key recognition model to obtain a set of fatigue key point coordinates and a set of posture angles; forming several fatigue 3D mesh head models using radial basis function interpolation; generating several virtual fatigue images based on the several fatigue 3D mesh head models, and then generating several virtual fatigue videos based on the several virtual fatigue images. This method generates a large number of virtual fatigue videos with good individual differences, which is beneficial for accurately and comprehensively testing the accuracy of fatigue driving detection products.

This invention provides a method, system, device, medium, and product for modeling sound velocity profiles in the air-sea interaction layer, comprising the following steps: Step S1: Acquire temperature and salinity field data of the target sea area; Step S2: Based on the temperature and salinity field data, construct a covariance matrix and perform intrinsic mode decoupling, extracting the first few modes as the spatially dominant modes; Step S3: Perform cubic B-spline interpolation and fitting on the vertical weight coefficients of the spatially dominant modes, and use radial basis function interpolation to perform spatial mode continuity processing, obtaining a spatial distribution model of the temperature and salinity field data; Step S4: After applying constraints to the vertical distribution of the spatial distribution model at the air-sea boundary, substitute it into the empirical formula for sound velocity to complete the sound velocity profile modeling. This method overcomes the limitations of the traditional quasi-static one-dimensional sound field assumption, constructing a sound velocity profile model of the air-sea interaction layer that integrates horizontal distance and vertical depth.

This invention discloses a digital twin modeling and fault visualization method for thermal measurement points of bucket wheel excavators, relating to the field of bucket wheel excavator technology. It solves the technical problems of shallow diagnosis, black box effect, and delayed response caused by the reliance on simple threshold rules in traditional unattended bucket wheel excavator systems. This invention performs in-depth analysis of electrical parameters to obtain global state coefficients, and then uses three-dimensional laser scanning and radial basis function interpolation technology to reconstruct a continuous, high-fidelity three-dimensional temperature field from the temperature data of limited measurement points to generate an intuitive thermal image evolution sequence. Finally, it performs time-series analysis based on the thermal image evolution sequence, and uses global coefficients to adjust sensitivity to output a temperature anomaly index. A composite three-dimensional model is constructed based on the temperature anomaly index, successfully advancing digital twin technology to the engineering application level and improving the intelligence level of bucket wheel excavator condition monitoring and fault early warning.

The application discloses a high-precision DEM modeling method for a faulted terrain area considering spatial heterogeneity, and in view of the problem that the existing interpolation algorithm has low interpolation accuracy at discontinuous terrain features such as fault lines, a multi-element radial basis function interpolation method considering spatial heterogeneity is provided. Compared with the traditional interpolation algorithm, the application provides a multi-element radial basis kernel function coupling three kinds of terrain feature information of distance, height difference and normal vector, which weakens the influence of sampling points on the opposite side of the interpolation point on the interpolation result, and thus has strong maintaining ability for fold faulted terrains such as ridges and valleys, and jump faulted terrains such as cliffs and terraces. In addition, the application also provides specific experiments, and the experiments show that compared with the interpolation method constrained by the structure tensor and several classical interpolation methods, the average total error of the application method is the smallest, the interpolation performance is the best, and the faulted terrain features can be well maintained, thereby proving the effectiveness of the application method.

The present application relates to the technical field of boiler temperature measurement, and discloses a boiler furnace temperature field measurement system based on multi-sensor fusion. The temperature acquisition module of the system is arranged with multiple groups of infrared temperature measurement sensors and thermocouple sensors in the preset spatial grid of the boiler furnace to synchronously acquire real-time temperature data of each spatial grid; the data fusion module performs time alignment and spatial registration on the collected data to generate a time-space synchronous original temperature data set; the noise suppression module performs multi-scale decomposition on the original data set based on wavelet transform, extracts high-frequency noise components and adaptively filters them to output a temperature data sequence after noise reduction; the temperature field reconstruction module reconstructs a three-dimensional temperature field distribution model of the furnace according to the temperature data sequence after noise reduction through a radial basis function interpolation algorithm; and the dynamic compensation module calculates a heat conduction lag compensation amount of the temperature field distribution model according to the flue gas flow speed in the furnace and the working condition parameters of the burner to generate a compensated dynamic temperature field model.

The invention relates to a three-dimensional geological modeling method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring geological exploration data of a to-be-modeled area; wherein the geological exploration data comprises at least one of three-dimensional coordinates, geological layering and lithologic parameters; clustering the geological exploration data based on an adaptive clustering rule to obtain a hierarchical point set; based on the clustered layering point set, combining with improved radial basis function interpolation to generate a geological layering curved surface; and sequentially performing closed connection on the adjacent upper and lower geological layering curved surfaces through Boolean operation to generate a three-dimensional geological model. Therefore, the curved surface fitting precision under the complex geological condition can be optimized in a targeted manner through the improved radial basis function interpolation, so that the generated geological layering curved surface is closer to the actual geological interface form; moreover, adjacent curved surfaces are closed through Boolean operation, the problem of gaps or overlapping caused by unclosed interfaces is solved, and the three-dimensional entity can truly reflect the spatial continuity and integrity of the geologic body.

The invention provides an expression base generation and hybrid driving method and system based on topological consistency and sparse constraint. The method comprises the following steps: constructing a source template of an ARKit standard expression semantic hybrid shape; based on sparse key point guidance, wrapping the source template to the surface of the cartoon role three-dimensional model by using a non-rigid registration technology to realize topology consistency reconstruction; on the basis of a deformation migration technology, constructing an energy function containing key point constraint terms, solving and generating a whole set of expression bases of the target role, and performing set correction on a specific region in combination with radial basis function interpolation; a mixed shape coefficient of an input video is obtained through a visual capture module, and after time sequence smoothing processing, a final driving coefficient is obtained to drive a virtual character. According to the method, the problems of high difficulty and long time consumption of constructing a cartoon role expression base in a traditional method are effectively solved, low-cost and high-efficiency cartoon image real-time driving is realized, and the method is suitable for virtual live broadcast and meta-universe interaction scenes.

The invention relates to the technical field of game and animation production, in particular to an animation character modification method, electronic equipment and a storage medium. The method comprises the following steps: firstly, determining a target driving skeleton from each role skeleton of a target role model, and adding a shaping control component for the target driving skeleton; determining a target modification controlled object associated with the target driving skeleton from a preset candidate control list; capturing a skeleton attitude transformation instruction through a shaping control assembly, determining initial attitude data, target attitude data and process attitude data of the target role model based on the skeleton attitude transformation instruction, and then performing attitude distance analysis to obtain an attitude distance matrix; performing radial basis function interpolation calculation according to the attitude distance matrix, and determining a corresponding modification weight for the process attitude data; and further performing role modification on the target modification controlled object to obtain a role model target animation after role modification. According to the method, the visual expressive force is improved while the animation production efficiency is guaranteed.

This invention discloses a method, device, electronic equipment, and storage medium for monitoring the temperature of electromagnetic transformers. The method includes: S1, initialization and multimodal calibration; S2, collaborative sampling and preprocessing; S3, three-dimensional temperature field reconstruction and digital twin prediction, projecting spatiotemporally registered multimodal temperature samples onto the device's observation grid, generating temperature volume data and local confidence levels using distance- and confidence-based weighted interpolation or radial basis function interpolation, and simultaneously constructing a heat-flow-electric coupling digital twin model and outputting short-term thermal field predictions and prior uncertainties for 10-30 minutes; S4, data assimilation, hotspot diagnosis, and forward-looking early warning. This invention achieves a closed loop consisting of multimodal sensing, three-dimensional reconstruction, digital twin, and data assimilation, enabling high-confidence estimation of the global temperature field under conditions of incomplete measurements, and improving early warning lead time and robustness through adaptive encrypted sampling based on uncertainty feedback.

This invention discloses a three-dimensional visualization system for soil heavy metal pollution distribution based on vertical enhancement interpolation and isosurface rendering. The spatial interpolation module uses a vertical enhancement factor to scale the vertical coordinates of the original sampling points to obtain transformed three-dimensional coordinates. Based on the transformed three-dimensional coordinates and pollutant concentration data, spatial statistical features are calculated. Based on the stability of these spatial statistical features, either Kriging interpolation or radial basis function interpolation is selected to interpolate the spatial statistical features to obtain a three-dimensional concentration field. The isosurface generation module adaptively determines the density of isosurface levels based on the gradient magnitude of pollutant concentration in the three-dimensional concentration field, and then uses a moving cube algorithm to obtain isosurfaces at different concentration levels. The rendering module assigns transparency values ​​and performs illumination rendering on the isosurfaces at different concentration levels to obtain a three-dimensional image of soil heavy metal pollution distribution. This system provides higher accuracy in three-dimensional characterization of soil heavy metals.

The invention relates to the technical field of low-altitude flight navigation and environmental perception, and discloses a low-altitude flight route true height reference surface determination method based on an aviation obstruction beacon, which comprises the following steps: cooperatively acquiring static and dynamic characteristics of the obstruction beacon through an unmanned aerial vehicle and a ground photosensitive array, and synchronizing the pose and timestamp of a multi-source sensor to generate an original data set; a structured feature matrix is constructed through processing, and the features are optimized through dimensionality reduction; introducing radial basis function interpolation and combining with robust estimation to construct a dynamic true height reference surface; updating the model through a weighted fusion mechanism according to terminal stability and spatial distribution; building a multi-layer air route based on the model, generating a path through reinforcement learning, and combining model prediction control to guarantee flight path consistency; and synchronizing the model and the path, and constructing an incremental learning mechanism for continuous optimization by using flight feedback. Through multi-source data fusion and dynamic modeling, high-precision real-time elevation measurement is realized, and the adaptability and safety of low-altitude flight route planning are improved.

This invention discloses a multi-level partitioning constraint method and apparatus for general mesh deformation problems, relating to the field of mesh deformation technology in numerical computation. The method includes: reading mesh data; partitioning the object surface mesh into multiple levels; constructing a local radial basis function interpolation system within each partition using a greedy algorithm; using the difference between the previous level deformation result and the target deformation result as the deformation target to progressively correct the positions of the object surface and volume mesh nodes; calculating the global deformation using radial basis functions in the first level, and limiting the local deformation range using dual-constraint radial basis functions in non-first levels; accelerating the calculation of dynamic and static boundary distances using distance search based on K-dimensional tree pre-screening; and outputting the deformed mesh. This invention avoids the high cost of direct global solution through multi-level partitioning and hierarchical point selection strategies, significantly reducing the computational cost of constructing a radial basis function interpolation system in large-scale 3D mesh deformation while maintaining mesh quality and deformation accuracy, effectively improving the efficiency of deformation calculation.

The invention discloses a cubic press intelligent regulation and control method and system based on a temperature and pressure digital twinborn model, and the method comprises the steps: building a temperature and pressure finite element coupling model of a critical component of a cubic press based on the structural characteristics of the critical component of the cubic press, obtaining the temperature and stress distribution under different loads, and calculating the temperature and stress distribution of the critical component of the cubic press; constructing an original training data set; reducing the order of the grid, and generating an order-reduced point cloud sample data set in combination with a K-nearest neighbor algorithm and a radial basis function interpolation; training a random forest regression model by using the data set, constructing a finite element simulation regression agent model of the cubic press structure, and establishing a mapping relationship between the structural performance of the cubic press and the control parameters; through real-time monitoring of a thermocouple and an electrical sensor, heating power is adjusted through PID closed-loop control, and stable control of the internal temperature of the synthesis cavity is achieved; according to the method, closed-loop control over the temperature of the synthetic cavity of the cubic press is achieved by constructing the finite element simulation agent model based on the reduced-order grid and the random forest regression.