1305 results about "Dimensional modeling" patented technology

The invention relates to the technical field of tooth modeling, and discloses a three-dimensional tooth modeling system based on computer vision, computer equipment and a readable storage medium. According to the method, mirror reflection, diffuse reflection and subsurface scattering components in an original image are separated, mirror reflection intensity is normalized in combination with a dynamic truncation algorithm, pixel saturation is eliminated, groove and nest textures are reserved, a complete point cloud is obtained based on a two-dimensional texture image and cubic spline repair, and a multi-exposure point cloud sequence is obtained through bimodal calibration. The method comprises the following steps: solving the problem of data dislocation, carrying out weight assignment and data fusion on three-dimensional points in a plurality of exposure point cloud sequences to obtain three-dimensional fusion feature data, combining layered optical modeling and photon tracking compensation deviation, fusing clinical constraints, finally dynamically adjusting parameters, feeding back and optimizing, and outputting a micron-sized precision model. The modeling defect caused by difficulty in effectively coordinating feature contribution degrees under different exposure conditions is overcome, and high-precision modeling is realized.

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

The invention discloses a complex terrain three-dimensional modeling and earthwork volume calculation method based on a multi-source fusion point cloud, belongs to the technical field of surveying and mapping and engineering surveying, and mainly solves the problems of low terrain modeling precision and insufficient earthwork calculation efficiency in a complex scene. The method comprises the following steps: constructing a ground-air integrated multi-source sensing network to synchronously acquire laser point cloud, multi-view images and positioning data; adopting PointNet + +-based initial registration and multi-scale ICP fine registration fusion to generate a unified point cloud; combining semantic segmentation and penetration probability filtering to accurately extract a digital elevation model; constructing a similar triangular prism voxel model by using a constrained Delaunay triangulation network; and finally, the earth volume is rapidly calculated by adopting a GPU parallel voxel cutting and filling algorithm, so that high-precision terrain modeling and rapid engineering quantity calculation are realized, and the method can be efficiently and reliably applied to large-scale projects such as roads and mines.

The invention discloses a live-action three-dimensional dynamic change modeling method based on digital twinning. The method comprises the following steps: collecting multi-source data; carrying out space registration and time synchronization processing, and outputting a fusion data set; carrying out three-dimensional modeling, optimizing model parameters, and generating a live-action three-dimensional model; virtual-real mapping is carried out, and generated virtual space data and state parameters thereof are stored; performing differential analysis to generate a change detection result data set; performing dynamic change modeling to generate an updated virtual model; executing geometric accuracy optimization and semantic consistency check, and outputting an optimized virtual model; bidirectional data flow association and dynamic updating are executed, and the live-action three-dimensional dynamic change modeling process is completed. The real scene dynamic updating is realized by adopting the improved Gaussian sputtering modeling, and the method has the advantages of high precision, strong real-time performance and virtual-real synchronization.

The invention provides a spatial intelligent three-dimensional modeling method based on a two-dimensional structure design sketch image, and the method comprises the steps: carrying out the preprocessing of an input two-dimensional structure design sketch image, and obtaining a preprocessed design sketch image, extracting two-dimensional structure design features from the preprocessed design sketch image, and encoding the two-dimensional structure design features to generate structured tensor representation; deducing space components, function partitions and constraint logic based on structured tensor representation to construct a sketch semantic graph, nodes of the sketch semantic graph representing physical structure units, and edges of the sketch semantic graph representing connection relations and stress constraints among the physical structure units; determining a node embedding vector corresponding to each node in the sketch semantic graph so as to perform three-dimensional space coding on the node embedding vector to obtain a node potential vector, and generating a geometric reasoning sequence during three-dimensional structure geometric reasoning according to a mechanical logic definition on the basis of edges in the sketch semantic graph, and performing three-dimensional structure geometric reasoning based on the node potential vectors and the geometric reasoning sequence to generate a three-dimensional structure model.

The invention discloses a commodity receiving method and system based on digital twinning, belongs to the technical field of industrial internet and supply chain management, and aims to solve the technical problems of non-transparent information, tedious process, low efficiency, difficult inventory management and lack of effective monitoring in traditional commodity receiving. According to the technical scheme, data collection and twinborn modeling are carried out, specifically, digital and intelligent management of commodity receiving is achieved by building real-time mapping of a physical warehouse and a virtual twinborn body, multi-source data of material information, inventory data and position information of the physical warehouse are collected through Internet of Things equipment, and after cleaning processing is carried out, the real-time mapping of the physical warehouse and the virtual twinborn body is carried out; a three-dimensional modeling technology is adopted to construct a virtual twinborn body, and the consistency of the virtual twinborn body and a physical warehouse is ensured through a dynamic updating mechanism; real-time data processing and synchronization; intelligent receiving is realized; inventory monitoring and prediction; and performing user management and authority control.

The invention discloses a three-dimensional modeling method and system, and relates to the technical field of intelligent perception and three-dimensional reconstruction, and the method comprises the steps: taking BIM as a priori, sampling a geometric entity as a visibility evaluation point cloud, and constructing a graph structure environment state under the constraints of a field of view, distance measurement, an incident angle, overlapping and other sensors; on the basis, a deep reinforcement learning agent which is pre-trained by a synthetic scene and subjected to domain randomization migration is introduced, stations and scanning parameters are selected online according to an observation-decision-execution-update closed loop, visibility and coverage are re-estimated after each step of scanning, and self-adaptive correction is carried out on an unexecuted sequence in combination with online optimization; compared with an off-line global optimization method, the method has the advantages that a search space is effectively compressed through candidate station pre-generation and visibility gating, and continuous and adjustable balance is formed among coverage, point cloud quality and operation time by multi-target awards; for engineering constraints such as temporary shielding, site reachability, registration overlapping degree and the like, the strategy can be dynamically replanned in an execution period.

The invention relates to the technical field of gift packaging three-dimensional modeling, and discloses a construction method of a gift box packaging design three-dimensional model. The method comprises the following steps: collecting natural language description, a freehand sketch image and a physical material attribute parameter; analyzing a natural language to construct a design intention map, and analyzing a sketch to generate a geometric feature code; performing knowledge alignment fusion on the two to form enhanced design semantic representation; generating an initial three-dimensional design framework by using a generative design algorithm; material parameters are integrated, compatibility simulation test is carried out, parameter self-adaptive adjustment circulation is started according to a feasibility evaluation report, and component parameters are dynamically optimized; and rendering and outputting a final model. Through deep fusion of multi-modal design information and preposed dynamic optimization of physical attributes, the accuracy of design intention expression and the producibility of a three-dimensional model are improved, and automation and intelligentization of a design process are realized.

The invention relates to the technical field of industrial internet of things operation and maintenance, and particularly provides a remote maintenance auxiliary method integrating video monitoring and three-dimensional modeling. The method comprises the following steps: acquiring engineering graphic data and point cloud scanning data of maintenance equipment, and collecting video stream data of a maintenance equipment site; the video stream data is used for describing the operation state of maintenance equipment; the video stream data comprises a plurality of video frames; matching the point cloud scanning data with the engineering graphic data, and constructing a watertight three-dimensional grid model according to a matching result; mapping texture features of the maintenance equipment in a target video frame to the surface of the watertight three-dimensional grid model to obtain a target three-dimensional model; and receiving a first maintenance instruction marked in the target three-dimensional model by a remote expert, and sending the first maintenance instruction to a video picture of a client of an on-site maintainer. According to the technical scheme provided by the invention, the time consumption for positioning the overhaul part can be reduced.

The invention relates to the technical field of multi-unmanned-aerial-vehicle cooperative operation and three-dimensional modeling, in particular to a multi-unmanned-aerial-vehicle cooperative three-dimensional rapid modeling method for a highway accident scene, and the method comprises the steps: generating a three-dimensional grid map of an accident area through the scanning of a millimeter-wave radar by a main control unmanned aerial vehicle; subareas are divided according to a load balancing strategy and are distributed to slave unmanned aerial vehicles, the slave unmanned aerial vehicles traverse grids along a snake-shaped track, laser radar point clouds and five-view-angle images are synchronously collected, data are bound through double time stamps and space coordinates, the point clouds are preprocessed through edge computing nodes, and the point clouds are stored in a database; the master control unmanned aerial vehicle evaluates quality based on density standard deviation and overlapping matching degree and instructs to reacquire, performs high-precision Poisson reconstruction on an accident core area, performs voxelization processing on a peripheral area, maps image textures, optimizes vehicle deformation details, simplifies a model and retains key element precision, and finally performs data processing. License plate coordinates, a scattered object thermodynamic diagram and an emergency lane occupation state are automatically marked, a visual model is generated, and rapid and accurate restoration of an accident scene is realized.

The invention discloses an agricultural scene three-dimensional reconstruction method based on multi-modal sensor fusion, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: acquiring multi-modal data of a target scene based on a tracked robot, wherein the multi-modal data comprises image data acquired by a binocular camera, point cloud data acquired by a laser radar, time sequence inertial data acquired by an inertial measurement unit and position data acquired by a Beidou positioning system; extracting different modal data features in the multi-modal data, and carrying out heterogeneous fusion on the different modal data features to obtain multi-modal data fusion features; and agricultural scene three-dimensional reconstruction is carried out by using a three-dimensional dynamic construction method based on space-time-semantic joint embedding. According to the invention, the environment scene modeling precision of the agricultural robot under the interference of muddy, raised dust and vibration can be improved.

The invention relates to the technical field of three-dimensional modeling, in particular to a dynamic modeling method for a geological structure three-dimensional model. The method comprises the steps that multi-source data are acquired and preprocessed, a voxel semantic fusion algorithm based on variational optimization is introduced, after semantic information is extracted from the preprocessed multi-source data, the preprocessed multi-source data are mapped to a target three-dimensional space grid, and an optimal semantic fusion vector is obtained; based on the optimal semantic fusion vector, generating a standard voxel data pool, and constructing a geological structure three-dimensional model; monitoring data change, calculating the position of a newly added data point, combining the standard voxel data pool to obtain a space updating area, and modeling the space updating area to realize model updating; and after the modeling of the space updating region is completed, optimizing the boundary continuity. The problems that multi-source geological data cannot be directly used for structure construction and semantic fusion of a three-dimensional model, dynamic response to newly-added data is lacked, and geometric discontinuity and structural logic discontinuity exist at the boundary are solved.

The invention belongs to the technical field of energy consumption optimization, and particularly relates to a digital twin building energy consumption dynamic optimization system, which comprises a modeling module for acquiring physical, structural and equipment layout parameters of a building, and constructing a target building three-dimensional region segmentation model containing geometric transmission constraints by combining three-dimensional modeling and a grid segmentation algorithm; the control mapping module is used for collecting data such as regional people flow density and equipment energy consumption, and constructing multi-level association control mapping including people flow-rate first association mapping, rate-energy consumption second association mapping and comfort level score-based second association feedback mapping through an association analysis algorithm; the analogue simulation module constructs a generator and a discriminator through association mapping, performs synchronous confrontation simulation in combination with a three-dimensional region segmentation model, and solves an optimal energy consumption rate; and the feedback adjustment module compares actual operation with feedback data, corrects mapping parameters and optimizes algorithm weights, realizes building energy consumption dynamic optimization, and ensures that the overall energy consumption and comfort level score meet preset thresholds.

The invention discloses a wine jar interior three-dimensional measurement device and a wine jar interior three-dimensional modeling method, and relates to the technical field of three-dimensional modeling, the wine jar interior three-dimensional measurement device comprises a fixed cover, a movement mechanism and a three-dimensional information acquisition mechanism, the fixed cover is used for being fixed at a wine jar opening; the movement mechanism is movably connected to the fixed cover; the three-dimensional information acquisition mechanism comprises a conical laser, a first connecting column and a first camera which are connected in sequence, the first camera is connected to the movement mechanism, and the conical laser is located at the position away from the movement mechanism; the movement mechanism is used for driving the conical laser and the first camera to move along the axial direction of the wine jar; the conical laser is used for emitting conical laser to the inner wall of the wine jar, and the first camera is used for collecting a laser image of the laser projected on the inner wall of the wine jar; according to the technical scheme provided by the invention, the modeling efficiency can be improved while the modeling cost is reduced.

The invention discloses a photovoltaic module construction quality identification method based on computer vision and three-dimensional modeling. The method comprises the following steps: S1, collecting an original image sequence of a photovoltaic construction site and carrying out image preprocessing; s2, outputting a semantic tag graph and a two-dimensional space boundary graph through an improved BiSeNet network; s3, using a mask constraint SIFT algorithm to extract cross-view key point features, generating a dense three-dimensional point cloud according to multi-view stereo reconstruction, and outputting a structure three-dimensional geometric model; s4, mapping the semantic tag graph and the two-dimensional space boundary to the structure three-dimensional geometric model to obtain a semantic three-dimensional model; s5, performing spatial registration on the semantic three-dimensional model and the reference model, and calculating spatial error parameters of the photovoltaic module; s6, performing compliance discrimination on the spatial error parameters, and outputting a quality discrimination result; and S7, generating a construction quality evaluation report. According to the invention, automatic identification and accurate evaluation of the photovoltaic construction quality are realized, and the detection efficiency and the discrimination accuracy are improved.

The invention discloses a remote sensing image three-dimensional reconstruction method based on semantic information, and relates to the technical field of remote sensing image three-dimensional modeling, and the method comprises the steps: carrying out the processing of a remote sensing image covering a target region, obtaining point cloud data, and carrying out the semantic segmentation based on a semantic segmentation model, and determining a semantic category label; dividing voxel units based on a three-dimensional sparse point cloud distribution condition, and constructing to obtain an initial anchor point; the distribution density of the initial anchor points is adjusted in combination with the semantic category labels, and the adjusted initial anchor points are obtained; iteratively training the three-dimensional Gaussian splash model for multiple times to update the anchor points to obtain scene anchor points; and obtaining a three-dimensional reconstruction model of the target area based on scene anchor point rendering. According to the method, semantic information is introduced and a 3DGS three-dimensional modeling technology is fused, so that the densification quality of anchor points and the geometric boundary definition of the model are effectively improved, the modeling efficiency can be improved, and the structural rationality and semantic interpretation of a three-dimensional reconstruction result can be enhanced.

The invention relates to the technical field of electronic shopping, in particular to a garment matching customization management system and method.The method comprises the steps that firstly, the body size, personal characteristics, social attributes, historical behaviors and target dressing occasion data of a user are collected, and real-time interaction feedback is fused to generate a dynamic multi-dimensional user portrait vector; inputting the design parameters into a pre-trained personalized matching generation model to generate a personalized matching scheme containing the design parameters; a virtual fitting effect picture is rendered through three-dimensional modeling, and a user is supported to adjust in real time and confirm a final scheme; and finally, analyzing the scheme to generate a customization demand list, distinguishing finished product items from customization items, intelligently matching a target supplier based on a supplier capability matrix, and issuing a purchase order or a customization production task list. And the system realizes full-process automation. According to the invention, matching precision and user experience are improved, supply and demand cooperation efficiency is optimized, personalized and standardized demands are adapted, and accurate, personalized and comfortable experience is provided for online clothes purchasing of the user.

The invention discloses a virtual space multi-person interaction synchronous control method oriented to an end-cloud collaborative architecture. The invention relates to a computer graphics and three-dimensional modeling technology, and discloses a cross-format lightweight and geometric consistency maintenance method based on a three-dimensional model. Through format-independent geometric representation and a self-adaptive lightweight strategy, efficient compression and precision maintenance of three-dimensional model cross-format conversion are realized. The method specifically comprises the following steps: performing format analysis and geometric feature extraction on an input model, and establishing a unified internal representation; adaptively selecting a multi-level LOD lightweight strategy based on the complexity of the model; the accuracy of key information is ensured through geometric feature keeping and topology consistency detection; the geometric consistency is dynamically maintained by combining error monitoring and an iterative correction mechanism; and generating a target format lightweight model and carrying out quality verification. According to the method, adaptive precision control, multi-level consistency maintenance and format irrelevant processing are combined, the model size and conversion errors are effectively reduced, and cross-platform compatibility and geometric fidelity are improved. The method can be widely applied to the fields of industrial design, game development, virtual reality and the like.

The invention relates to the technical field of temperature control, in particular to an electric control cabinet temperature control method based on simulation, and the method comprises the steps: obtaining the basic data of a target electric control cabinet; constructing a target three-dimensional model associated with a core component temperature tolerance threshold and a parameter stable temperature interval based on the basic data; fusing the target three-dimensional model and historical temperature information to generate a temperature monitoring area; dynamic temperature monitoring is realized based on a monitoring area, and adaptive temperature control adjustment is executed in combination with an association relationship between temperature rise and component parameters. According to the invention, through deep fusion of three-dimensional modeling, historical temperature analysis and component characteristics, precision of temperature monitoring and self-adaption of temperature control adjustment are realized, it is effectively guaranteed that core components operate in a safe temperature interval, temperature control reliability and operation stability of the electric control cabinet are significantly improved, and energy consumption and operation and maintenance cost are reduced.

The invention relates to the technical field of three-dimensional digital modeling, in particular to an automatic real-time three-dimensional digital modeling method and system for a dike. The method comprises the following steps: collecting first image data of a dike area, and setting a three-dimensional coordinate system of the dike area; evaluating a plane median error and an elevation median error of the first image data, and obtaining field acquisition precision based on the plane median error and the elevation median error; adjusting shooting parameters of the unmanned aerial vehicle according to the field acquisition precision, and acting the adjusted shooting parameters of the unmanned aerial vehicle on the unmanned aerial vehicle; acquiring second image data of the dike area through the adjusted unmanned aerial vehicle; executing spatial triangulation calculation on the second image data, and generating aerial triangulation calculation result data; and performing three-dimensional model reconstruction based on the aerial triangulation result data to obtain a dike three-dimensional digital model. According to the method, the frequency and the precision of obtaining the geometric information of the dike can be improved, and high-resolution and dynamically-updated three-dimensional modeling is realized.

The invention discloses a road drawing intelligent analysis and three-dimensional modeling method and system, and the method comprises the steps: obtaining drawing data, carrying out the content recognition of the obtained drawing data, carrying out the data screening and extraction based on the recognized data, carrying out the data cleaning and correction, converting the data into structured data, and carrying out the secondary correction. And finally, constructing a three-dimensional model according to the corrected data. According to the scheme, information extraction in the road drawing is carried out by using various different classification or recognition models before modeling, targeted design is carried out for table data and image data, data cleaning and correction are carried out after data extraction, and the data extraction efficiency is improved. According to the scheme, multi-dimensional road parameter information in the road drawing can be rapidly and accurately extracted, a solid foundation is laid for subsequent three-dimensional modeling, the modeling precision in a complex drawing scene is remarkably improved, and the problem that a traditional method depends on a low-efficiency mode of manual copying, trial calculation and repeated correction is effectively solved.

The invention relates to the technical field of twin models, in particular to a subway station flood prevention simulation method and system based on a three-dimensional model. According to the method, local important evaluation indexes are obtained through placename approximate analysis and concavity-convexity analysis of structures of point cloud data in a neighborhood space, and structural important evaluation indexes of single point cloud data are determined by combining and analyzing density distribution complexity in the neighborhood space; clustering the point cloud data and dividing the point cloud data into different regions; analyzing depth distribution of all the point cloud data in the regions; combining structural importance evaluation, determining an attention rate of each region, performing differential modeling and semantic processing to obtain a semantic three-dimensional model; and combining a hydrodynamic model to obtain a digital twinborn model. According to the method, differentiated three-dimensional modeling is carried out by evaluating the importance of each point cloud data in subway station flood prevention simulation, and flood prevention analysis is carried out more comprehensively and accurately by combining a digital twin model with a hydrodynamic model, so that the protection capability of subway flood prevention is improved.

The invention discloses a gas extraction dynamic regulation and control system and method based on three-dimensional modeling, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: constructing an underground multi-source sensor network, and collecting underground gas extraction multi-modal data flow; the method comprises the following steps: acquiring an underground gas historical extraction data set, performing dynamic early warning analysis in combination with an underground gas extraction multi-modal data flow, and establishing a gas emission abnormity early warning model and an extraction system failure early warning model; self-adaptive fusion modeling is carried out, and a three-dimensional model of the extraction drilling system is generated; and the gas emission abnormity early warning model and the extraction system failure early warning model are mapped to the extraction drilling system three-dimensional model for extraction regulation and control analysis to determine target gas extraction control parameters, and extraction closed-loop regulation and control are carried out. The technical problem of monitoring and regulation response lag caused by gas extraction data islanding in the prior art is solved, and the technical effects of real-time sensing, intelligent early warning and accurate regulation in the gas extraction process are achieved.

The invention provides a cavity thin-wall part printing method and system, a storage medium and equipment, and the method comprises the step of adopting a cavity part regional printing processing method with different forming parameters. A thin-wall cavity part of a part is independently split into an integral part through three-dimensional modeling software, a main body structure part and a thin-wall cavity structure part are split into a plurality of parts, and different filling printing parameters are adopted for machining the parts of different structure parts. By means of the printing method, heat accumulation can be effectively shared, distribution of residual stress is reduced, finally, the size structure precision of the thin-wall part is effectively guaranteed, and the printing success rate of the complex cavity part is increased.

The invention relates to the technical field of computer vision, and particularly provides a tunnel video stream three-dimensional modeling system based on binocular stereo matching and SLAM (Simultaneous Localization and Mapping), which comprises a multi-modal image acquisition unit, a binocular infrared camera and an RGB (Red, Green and Blue) camera are configured to synchronously acquire an infrared image pair, an RGB image pair and inertial measurement unit data of a tunnel environment, the multi-source data is uploaded to the cloud processing platform in real time through the wireless transmission module; based on a dynamic switching mechanism of environmental perception, performing adaptive fusion pose estimation of a feature point method and a direct method on input multi-modal image data; the stereo matching and dense reconstruction unit is used for calculating a disparity map by adopting an improved self-adaptive window stereo matching algorithm, generating a three-dimensional point cloud in combination with the pose information output by the pose estimation unit, and constructing a global consistency point cloud model of the tunnel scene through a time sequence point cloud registration and splicing algorithm; and a multi-algorithm target detection and semantic fusion unit. The method can meet the requirements of precision and robustness of tunnel reconstruction.

The invention discloses an electric arc fuse wire additive manufacturing method for a complex metal component with a protruding part, which comprises the following steps of: 1, three-dimensional modeling optimization: analyzing a three-dimensional model of the complex metal component; through local treatment, right-angle or oblique angle treatment and protruding part bottom supporting treatment, it is guaranteed that arc fuse wire additive manufacturing can be achieved; the optimized three-dimensional model is subjected to slicing treatment, and an electric arc fuse wire additive manufacturing path is obtained and optimized; and thirdly, the complex metal component with the protruding part is obtained through electric arc fuse wire additive manufacturing. According to the method, through three-dimensional modeling optimization, combined path optimization and additive manufacturing process parameter real-time adjustment, one-time additive manufacturing forming of the complex metal component with the protruding part is achieved, the continuity of the additive manufacturing process is guaranteed, the consistency of the overall performance of the complex metal component is improved, and the manufacturing method is simple in process, controllable and suitable for large-scale production. The method is suitable for the field of electric arc fuse wire additive manufacturing.

The invention discloses a bridge crack real-time identification system based on unmanned aerial vehicle inspection, which comprises an image data acquisition module, a three-dimensional modeling obstacle avoidance module, an image quality evaluation module, a bridge image fusion module and a crack identification prediction module, the three-dimensional modeling obstacle avoidance module obtains an unmanned aerial vehicle obstacle avoidance inspection path, the image quality evaluation module evaluates bridge crack image quality, the bridge image fusion module generates a bridge multi-stage fusion image, and the crack identification and prediction module performs real-time identification and evolution prediction on bridge cracks to obtain a bridge crack expansion thermodynamic diagram. According to the invention, full-process dynamic monitoring is carried out through communication cooperation, path planning, quality evaluation and crack prediction among the modules, the intelligence and automation level is improved, automation from image acquisition and processing to identification and prediction is realized, and the engineering practicability is relatively high.

The invention discloses an underwater scene three-dimensional reconstruction system and method based on 3D Gaussian sputtering, and belongs to the technical field of computer vision and three-dimensional reconstruction. The invention provides a feature extraction and enhancement method based on an AWDesc descriptor and a lightweight FeatureBooster network, and supports detection and description of key points of a fuzzy and weak texture area in a multi-view underwater image. According to the method, the self-enhancement and cross-enhancement strategies are combined, the discriminability and context consistency of descriptors are improved, and the mutual nearest neighbor and RANSAC algorithm are utilized to construct stable feature matching pairs, so that the mismatching rate is effectively reduced, and the accuracy of camera attitude estimation and sparse point cloud construction is improved. According to the method, the image enhancement network based on the cross Transform and the mixed contrast learning mechanism is adopted, and the ubiquitous problems of color distortion, fuzzy degradation and insufficient contrast of underwater images are effectively relieved. According to the method, a covariance correction mechanism and an underwater perception loss function are introduced into a 3D Gaussian sputtering three-dimensional modeling framework, and adaptive adjustment of Gaussian kernel scale, density and structural directivity is realized.

The invention discloses a radar point cloud-based train body modeling method and device and a related medium, and the method comprises the steps: obtaining an original point cloud frame sequence, and carrying out the parameter synchronous mapping of the original point cloud frame sequence, and obtaining a standardized point cloud sequence; performing data preprocessing on the standardized point cloud sequence to obtain a preprocessed point cloud sequence; performing time sequence registration and continuous modeling by using the preprocessed point cloud sequence to generate continuous vehicle body characterization; performing semantic segmentation and region extraction on the continuous vehicle body representation to obtain a door region set; extracting morphological characteristics of the vehicle body based on the door area set to obtain a structured parameter set with a door area state label; and performing formatting packaging on the structured parameter set, and outputting vehicle body modeling parameters. According to the method, three-dimensional modeling is carried out on the train, and the feature state is extracted, so that train state identification can be stably completed under different illumination and shielding conditions without depending on external identification and imaging conditions, and the positioning accuracy is improved.

The invention discloses a cultural relic restoration decision-making method and system based on computer three-dimensional modeling, and relates to the technical field of cultural relic restoration, and the method comprises the following steps: building a unified time baseline, generating a phase reference field, introducing a double-frequency comb interference structure to reconstruct a humidity refraction field, locking a zero-phase anchor point, and forming an initial constraint condition of a scanning path; under an initial constraint condition, an airflow phase gradient is obtained by adopting a Schlenn pilot frequency chromatography method, a nonlinear diffraction nucleus is calculated, and a refraction residual spectrum is output for modeling correction. According to the method, humidity disturbance is recognized through interference measurement and chromatography, real-time compensation is achieved in combination with phase sheath and humidity control, the crack and material characteristics are fused through neural field modeling, the solidification process is played back in combination with a mineralization mechanism, and the three-dimensional modeling precision and the restoration decision scientificity are improved.