1938 results about "3D modeling" patented technology

The invention discloses a 3D printing path planning method based on electric arc additive anisotropy and a stress field, and the method comprises the steps: constructing a CAD three-dimensional model of a part, and obtaining the stress field of the part through finite element simulation; determining a slice plane; mapping the stress field to a slice plane to form a force flow line; according to the obtained force flow line, rotation transformation regeneration is carried out according to the anisotropy of the used electric arc additive, and a reference trajectory considering the anisotropy of the material is obtained; under the principle of alternate arc starting and extinguishing, the corresponding printing sequence in the layers and between the layers is further planned, and the reference trajectory lines are connected end to end to be planned into a continuous path; and generating a code file, and printing according to the printing sequence. The comprehensive mechanical property of a printed piece is improved.

The invention discloses a CAD automatic modeling method and system based on parameter driving. The method comprises the steps that model parameter information needing modeling is obtained; generating a CAD (Computer Aided Design) model on the basis of parameter analysis, geometric construction and surface recognition schemes; performing reverse reconstruction of the three-dimensional CAD model based on topology analysis, geometric feature extraction, pattern recognition and parameter relation inference; modeling, optimization and feedback evolution are carried out based on model analysis, feature learning and generation of parametric modeling rules; and according to the obtained data information, CAD automatic modeling based on parameter driving is completed. According to the method, CAD automatic modeling based on parameter driving is achieved, the reliability is higher, the accuracy is better, and the efficiency is higher.

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 relates to the technical field of road engineering safety monitoring, in particular to an expressway slope crack identification method based on unmanned aerial vehicle laser point cloud visualization, which comprises the following steps: multi-source data collaborative acquisition: an unmanned aerial vehicle carrying a laser radar scanner and a high-resolution optical camera flies along a multi-angle combined route, and the unmanned aerial vehicle carries a laser radar scanner and a high-resolution optical camera; synchronously acquiring side slope three-dimensional laser point cloud data and an orthoimage sequence; data fusion preprocessing: denoising and filtering the data to generate an exposed slope triangular mesh curved surface model, and mapping textures to generate a high-precision live-action three-dimensional model; performing multi-dimensional feature fusion recognition, extracting curvature and texture features, inputting the curvature and texture features into a pre-training classification model, judging and outputting a crack pixel-level position; and carrying out visual output, superposing crack information rendering and generating a quantitative report containing the length and width of the spatial position. The method is high in coverage precision and identification accuracy, and provides a reliable basis for slope safety assessment.

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 relates to a three-dimensional Mesh model hole repairing system and method considering curvature characteristics of a scene structure, and belongs to the technical field of three-dimensional modeling and graphic processing. Comprising the following steps: S1, identifying boundary holes in a three-dimensional Mesh model, and classifying the boundary holes according to form and location features; s2, constructing a hierarchical structure of the boundary holes based on a topological relation of the block grids; s3, repairing boundary holes layer by layer based on the hierarchical structure, wherein the boundary holes are converted into closed holes, and curved surfaces are fitted; and S4, smoothing the triangulation network of the repairing area and the adjacent boundary of the original model, so that the triangulation network is naturally transited. According to the method, each block grid serves as a basic repairing unit of the boundary holes, the hierarchical relation of the boundary holes is established, and the holes are repaired layer by layer from outside to inside, so that the hole repairing efficiency is improved, the applicability of the method is enhanced, and the repairing precision is ensured.

The invention relates to the technical field of marine surveying and mapping and submarine topography modeling, and discloses a submarine topography and landform construction method based on multi-source water depth data fusion, which comprises a multi-source data acquisition module, a data preprocessing module, a feature extraction module, a fusion algorithm matching module, a three-dimensional modeling module and an uncertainty evaluation module. A historical submarine topographic map is converted into grid data, namely, submarine topography is discretized into digital representation of regular grid units, water depths of other sources are converted into the grid data, the precision of the water depths of different sources is evaluated by adopting a superposition comparison method, and an error distribution model is established to reasonably correct and fuse the water depth data of various sources. The innovation of the method lies in that topographic feature parameters including the gradient, the curvature matrix and the bionic optimization algorithm are introduced, the defect that a single algorithm is preset in a traditional method is overcome, and the precision of coral reef and fault zone complex areas is improved.

The invention relates to the technical field of metal cutting, discloses metal plate laser cutting equipment with a laser head collision early warning function, and aims to solve the problem that the collision risk of an existing cutting head and a convex part of a thin plate is high. Through the displacement component, the laser cutter, the positioning assembly and the central control unit, a metal sheet to be machined is placed on the workbench, then the laser cutter is used for cutting the metal sheet to be machined, in the whole operation process, pictures on the workbench can be shot through the industrial camera, and the working efficiency is improved. The real-time image is displayed on the controller through the real-time image display module, an image model is established through the 3D modeling module, a worker can observe more visually, when an irregular thin plate is encountered, setting is conducted through the height compensation module at the moment, the position of a tool bit of the laser cutter is always at the same height with the thin plate, and the machining precision is improved. Once the set equal height changes, the collision alarm module gives an early warning, and the overall safety performance is improved.

The invention discloses a PICC virtuality and reality combined simulation training system and method, solves the problems that puncture simulation training is not real enough and students cannot perform intensive training aiming at a puncture technology due to the fact that an existing venipuncture simulation platform lacks necessary puncture force feedback, and belongs to the technical field of virtual training. The system is composed of a personal information management module, a simulation training terminal, a virtual model management module and a man-machine interaction module, and student operation information is collected in real time based on a multi-dimensional sensor; the virtual model management module reconstructs real anatomical structures such as blood vessels and skin of a human body through a high-precision 3D modeling technology, a physical engine is matched to provide a vivid puncture hand feeling, students can experience a scene very close to real operation, and the simulation training terminal can simulate the real operation through a force feedback technology in a virtual scene. The trainee can feel the touch similar to that of real puncture, so that the understanding of the trainee on the puncture process and the control of the trainee on the puncture strength and angle are improved.

The invention discloses an AI-based building design scene automatic intelligent generation method and system, and relates to the technical field of building design, accurate basic data is provided for subsequent design by constructing a building related data set H, then a three-dimensional space model of an ancient building is generated by using 3D modeling and image recognition technologies, and the three-dimensional space model of the ancient building is obtained. According to the method, the to-be-repaired model area is marked, the recognition accuracy of the to-be-repaired model area is improved, in material suitability analysis, the building repair material is selected according to the material suitability score CL, the material compatibility and the repair effect are ensured, a first ancient building repair design scheme is obtained according to the AI model, meanwhile, finite element analysis is conducted, and the recognition accuracy of the to-be-repaired model area is improved. According to the method, it is ensured that the repaired historic building can bear loads and keep stability, finally, through target function optimization and simulation, an optimal historic building repair design scheme is output, a repair plan is executed, high efficiency and accuracy of the historic building repair process are ensured, and the repair quality of the historic building is improved.

The invention provides an unmanned aerial vehicle autonomous obstacle avoidance and dynamic path planning method and system based on multi-modal perception and hybrid intelligent decision. Environmental parameters such as wind speed, illuminance, temperature and humidity and image quality indexes are collected in real time through an airborne weather station, an IMU and a visual sensor, a flight parameter-image quality coupling model is established, and multi-target optimization is achieved through support vector regression (SVR) and particle swarm optimization (PSO). And designing a dynamic strategy optimization module based on Q-learning, and designing a reward function in combination with image quality, obstacle avoidance safety and energy consumption. An obstacle three-dimensional model is constructed in real time through ORB-SLAM3, a dynamic danger coefficient is calculated, and an obstacle avoidance track is generated by adopting an improved APF-RRT * algorithm. And the online cooperative control module optimizes the control quantity by using a BFGS algorithm so as to ensure the flight stability and the task efficiency. The method realizes high-precision obstacle avoidance and path planning of the unmanned aerial vehicle in a complex environment, has the characteristics of high robustness and wide adaptability, and is suitable for practical application scenes such as routing inspection, surveying and mapping and the like.

The invention relates to the technical field of 3D image rendering, in particular to a commodity three-dimensional model real-time rendering system for an e-commerce platform, and the system comprises a model geometric weight generation module which carries out voxelization processing on an input commodity three-dimensional model, retrieves the geometric curvature change rate of each voxel, the position relative to a model contour and a preset region identifier, and generates a model geometric weight; calculating voxel structure saliency measurement, and establishing a geometric importance weight map. According to the method, the input commodity three-dimensional model is subjected to voxelization processing, the geometric curvature change rate of the surface of the model and the position relation of the geometric curvature change rate relative to the contour of the model are obtained, the significance measurement index is constructed by integrating the region identification, and the importance degrees of different regions are distinguished; therefore, rendering resources can be concentrated in a more critical visual feature area of the commodity model, the detail expression effect is improved, meanwhile, the resource overhead of unnecessary areas is reduced, and the resource utilization efficiency is improved.

The invention discloses an equipment disassembly sequence automatic generation and verification method based on a physical engine, which belongs to the technical field of equipment disassembly, and realizes component physical attribute and dynamic connection constraint loading by acquiring an equipment three-dimensional model and initializing a physical engine simulation environment. And in the physical engine simulation environment, iteratively evaluating the feasibility of the disassembly operation, accurately capturing physical behaviors such as gravity and collision, and identifying disassembly obstruction and preset operation to generate candidate operation. A path search algorithm is utilized to intelligently explore and generate a creative disassembly sequence, and the limitation of traditional artificial experience and a static method is overcome. Through a multi-dimensional nonlinear total cost function, factors such as the number of disassembly steps, collision risks, tool replacement and accessibility and the like are comprehensively quantified, and an optimal solution considering efficiency, safety and operation convenience is verified and selected.

The invention relates to the technical field of water network intelligent management and control, and discloses a water network management and control multi-source space digital intelligent fusion base construction and decision optimization method, which comprises the following steps: cooperatively obtaining multi-source space data; format conversion, coordinate system unification and systematic semantic annotation are carried out through a data preprocessing platform, and a normalized spatial data set is formed; constructing a data fusion model, quantitatively evaluating the quality of a data source by adopting a fuzzy comprehensive evaluation method so as to determine a fusion weight, and performing weighted fusion by adopting a specific algorithm aiming at different data types such as vectors, grids and three-dimensional models so as to generate a unified spatial data model; and finally, a decision optimization system performs decision scheme generation and iterative optimization based on the model in combination with a hydrodynamic model and a genetic optimization algorithm. By establishing a standardized data processing and targeted weighted fusion process, the problems that multi-source heterogeneous data is difficult to integrate and the fusion precision is not high are effectively solved, and a reliable data base is constructed.

The invention provides a visualization method, device, system and equipment for report data and a medium, and the method comprises the steps: obtaining a plurality of pieces of business data, and constructing a corresponding business report by employing each piece of business data and a preset report template; acquiring real-time demand information of a user, determining a plurality of service three-dimensional models based on the real-time demand information, constructing a service digital model by using the plurality of service three-dimensional models, and adding the plurality of service reports to the service digital model to obtain a service display model; and respectively obtaining a static characteristic parameter and a dynamic characteristic parameter from the real-time demand information, rendering the service display model by using the static characteristic parameter to obtain a rendering model, and calling a preset Voyager model to perform visualization processing on the rendering model based on the initial coordinate and the initial angle of the dynamic characteristic parameter. According to the method and the device, the business data in different formats can be unified, so that the situations of visualization errors and data visualization deviation are avoided, and the model is constructed and visualized on the basis of user requirements, so that the display effect is improved.

The invention discloses an unmanned aerial vehicle routing inspection area path planning method, system and device based on mountain photovoltaic and a medium, and belongs to the technical field of photovoltaic power station routing inspection. The geographical environment and layout information of a photovoltaic power station area are obtained, and a photovoltaic area routing inspection route map is generated through AI three-dimensional modeling; constructing an inspection task based on the route map; according to the position of the hangar and the position of the inspection area, generating an optimized inspection path by using a path planning algorithm; one-key start and stop operation is realized through a vehicle-mounted unmanned aerial vehicle hangar, unmanned aerial vehicle autonomous inspection is executed, and visible light image data and infrared thermal imaging data are acquired; and performing defect identification and positioning on the monitoring data through a dual-light fusion automatic identification algorithm to generate a defect detection report. The problems that the mountain photovoltaic power station is low in inspection efficiency, the path is not optimized and the identification accuracy is low are solved, the inspection efficiency and accuracy are remarkably improved, the labor cost and the safety risk are reduced, and a powerful tool is provided for fine management and fault prevention of the photovoltaic power station.

The invention discloses a high-speed rendering method and system for a three-dimensional large-scale dynamic net rack of a one-graph of a power grid. The method comprises the following steps: generating three-dimensional model parameters of a power transmission line according to tower account data; dynamically scheduling rendering of the three-dimensional model of the power transmission line according to the visible area range; slicing the power transformation multi-source heterogeneous three-dimensional data; optimizing a three-dimensional rendering pipeline of the power grid graph; and three-dimensional net rack high-speed rendering is carried out through visual cone removal, LOD and instantiation rendering technologies. According to the invention, based on the machine account data of the power transmission line, accurate rendering of the three-dimensional line on one graph of the power grid is realized through parametric modeling; for a multi-source heterogeneous transformer substation model, three-dimensional slices in a unified format are formed through a scene division technology, and support of a power grid graph on a three-dimensional slice rendering pipeline is expanded; in order to improve the rendering performance, dynamic rendering scheduling is carried out on the three-dimensional net rack in the viewport, repeated drawing of a large number of same devices is avoided, the performance overhead is reduced, and the performance bottleneck of loading the large-scale three-dimensional net rack is effectively solved.

The invention relates to the technical field of environment perception and three-dimensional modeling, and discloses an unmanned aerial vehicle flight security early warning method and system for a complex environment, and the method comprises the steps: collecting the environment data of a complex flight scene, and enabling the environment data to comprise a dynamic obstacle, a static topographic feature and a meteorological condition; generating an environment three-dimensional semantic map of the flight complex scene; constructing an initial global path of the flight unmanned aerial vehicle corresponding to the flight complex scene; establishing a dynamic threat identification model of the flight scene of the unmanned aerial vehicle to identify a sudden threat factor of the flying unmanned aerial vehicle, and analyzing a factor potential movement track of the sudden threat factor; calculating a risk coefficient of the sudden threat factor to the flying unmanned aerial vehicle; and generating a smooth obstacle avoidance trajectory of the flying unmanned aerial vehicle to execute security early warning of the flying unmanned aerial vehicle. The safety of autonomous flight of the unmanned aerial vehicle in a complex environment can be improved.

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 a multi-modal interaction-oriented automatic operation backtracking and digital person continuous talking control method and system, and the system comprises an operation snapshot module which records operation nodes through a semantic anchor point marking technology, such as an interface XPath page number and a PPT page number; the interruption detection module is used for capturing a user interruption instruction in real time; the progress prediction engine dynamically adjusts a follow-up demonstration path based on a program; and the continuous talk controller is used for coordinating RPA operation execution, digital human rendering and voice synthesis through a three-level priority thread pool. The problems of inaccurate operation flow backtracking and multi-modal thread conflict after demonstration interruption are solved, the breakpoint continuous talk error is obviously lower than that of a traditional scheme, and the method is suitable for PPT demonstration, cockpit explanation, business system training, course explanation and 3D modeling guidance scenes.

The invention relates to the technical field of computer vision and three-dimensional modeling, and discloses a 3DGS (three-dimensional ground structure) equipment monomer method based on dynamic segmentation of an SAM2 large model, which comprises the following steps of: calling a visual large model to segment a multi-view two-dimensional image to obtain a component contour mask bearing semantic information; the method comprises the following steps of: establishing a mask of a three-dimensional point cloud, establishing space mapping of the mask and the three-dimensional point cloud, executing structure segmentation on the point cloud under double dimensions of fusing geometry and semantics, and further generating a three-dimensional monomer model for each separated equipment component. The segmentation processing of the three-dimensional point cloud is no longer limited to fuzzy geometric inference, but is carried out under clear semantic affiliation, so that the accuracy and robustness of monomer separation in the component dense adjacent region are improved.

The invention provides a method and system for intelligently generating a three-dimensional pipeline through a two-dimensional CAD pipeline drawing and a storage medium, aims at achieving automatic generation from the two-dimensional drawing to a three-dimensional pipeline model containing complete engineering information, and relates to the technical field of conversion of the two-dimensional drawing into a three-dimensional drawing. Comprising the following steps: respectively identifying graph entities representing pipe sections and various pipeline elements from the two-dimensional CAD pipeline drawing; s2, assigning attributes to each graphic entity identified in the step S1, and generating a structured engineering data object; s2, constructing a topological network diagram for describing the logic connection relationship among the entities of the pipeline system by adopting a graph theory algorithm, and obtaining the connection relationship among the graphic entities identified in the step S1; based on the calculated initial elevation of each node and the path optimization result, calculating three-dimensional space coordinates of all nodes in the topological network graph established in the step S3; and generating a three-dimensional pipeline model. According to the method, the accuracy of the three-dimensional model is ensured, and the design efficiency is improved.

The invention discloses a multi-stage text-to-three-dimensional model generation method, and particularly relates to the technical field of artificial intelligence, comprising three stages of initialization, optimization and clone segmentation; the method comprises the following steps: firstly, generating an image and depth through a multi-view diffusion model, and guiding to construct an initial three-dimensional Gaussian point cloud; secondly, multi-step diffusion inversion is executed under micro rendering, and the point cloud is optimized in combination with consistency loss and structure regularization; and finally, according to a significance score and a detail hierarchy mechanism, in combination with curvature and principal direction information, executing local clone splitting, and improving structural detail expression and density regulation and control capabilities. The method has the advantages of high semantic fidelity, high structural consistency and the like, and is suitable for scenes of text-driven three-dimensional modeling, virtual reality, point cloud reconstruction and the like.

The invention provides a 3D modeling-assisted garment pattern making method and system, and relates to the field of garment design, and the method comprises the steps: building a fabric database according to the fabric data on the current market, and obtaining an initial 3D garment model of a garment; fitting simulation is conducted on the obtained initial 3D garment model on the human body model, parameters of the initial 3D garment model are adjusted according to the simulation result and the fabric data, and an optimal 3D garment model is obtained; splitting the optimal 3D garment model to obtain a corresponding cut-part model and a sewing sequence; cloth is cut according to the cut-part model, solid cut-parts are obtained, the solid cut-parts are sewn according to the sewing sequence, manufacturing and adjusting of the clothes are completed, the pattern is confirmed, and therefore pattern making of the clothes is completed. According to the 3D modeling assisted clothing pattern making method and system, high precision, high efficiency and low cost of clothing pattern making are achieved, and meanwhile the design freedom degree and the wearing comfort degree are improved.

The invention discloses a three-dimensional reconstruction method and device based on an intelligent agent, a storage medium and electronic equipment. Relates to the technical field of artificial intelligence, and comprises the following steps: obtaining three views of a target object to be subjected to three-dimensional reconstruction, and constructing a target cue word according to the three views of the target object, the target cue word being used for indicating a target agent to generate a structure node set for describing the target object based on the target cue word; obtaining a structure node set based on the target cue word through the target agent; and performing three-dimensional reconstruction based on the structure node set through the target intelligent agent to obtain a three-dimensional model corresponding to the target object. Through the method and the device, the problem of relatively low efficiency of three-dimensional reconstruction caused by making a 3D model in 3D modeling software through a manual method based on data such as photos, language description and design drawings of a real scene in related technologies is solved.

The invention relates to the technical field of image processing, in particular to a three-dimensional GIM model dynamic updating method for capital construction, and the method comprises the steps: building a three-dimensional GIM model through extracting sample image information of different construction links of various types of target object construction; the risk feature characterization parameters of all construction links of all types of target object construction can be calculated by determining feature highlighting factors of all construction links of all types of target object construction, and the purpose is to quantify the feature highlighting conditions of the construction links corresponding to all types of target object construction; risk characteristic parameters corresponding to the construction links are calculated to represent the conditions, and construction link data information with high data representation can be preferentially extracted for analysis when a three-dimensional GIM model is constructed subsequently corresponding to the type of target objects; therefore, the dynamic updating operation efficiency of the three-dimensional GIM model is improved on the premise of ensuring the accuracy of the dynamic updating of the three-dimensional GIM model.

The invention discloses a live-action three-dimensional modeling error dynamic compensation method based on multi-source heterogeneous sensor fusion in the field of computer vision and surveying and mapping engineering. The method comprises the following steps: step S101, multi-source data acquisition: synchronously acquiring laser radar point cloud data, RGB-D camera depth images and unmanned aerial vehicle image data; step S102, space-time alignment: carrying out space-time alignment on the multi-sensor data by using an improved joint calibration algorithm, and constructing a unified coordinate system; and step S103, feature extraction and matching: extracting feature points of the data of each sensor, and performing feature matching through a multi-scale descriptor. According to the method, dynamic error compensation and multi-source data deep fusion are carried out, the bottlenecks of a traditional modeling method in precision, adaptability and efficiency are broken through, a high-precision and extensible three-dimensional modeling solution is provided for the fields of intelligent transportation, industrial quality inspection, forestry investigation and the like, and remarkable economic benefits and social benefits are achieved.

The invention discloses a method for optimizing the texture quality of a generative 3D model based on a texture expansion graph, and relates to the field of computer vision. Rendering the 3D model to obtain a multi-modal image set under multiple view angles; obtaining a training data set and training a multi-view generation model; generating an RGB image set by using a multi-view generation model; high-quality RGB images under the six visual angles are back-projected to the surface of the 3D model, colors of 3D points are mapped to a UV space through UV mapping, and a multi-visual-angle texture map and a mask map of the UV space under the six visual angles are obtained; fusing the multi-view texture maps to obtain a rough texture map; and optimizing the rough texture map through the image restoration model to obtain a high-quality complete texture expansion image. Through the multi-view generation model and the UV space image restoration technology, the texture quality of the generation type 3D model is optimized, and the problems of artifacts and distortion caused by the fact that the image content is inconsistent with the three-dimensional model geometry when high-quality multi-views are generated based on images are effectively solved.

The invention discloses a cultural relic exhibition hall AI intelligent shooting system based on binocular vision, and relates to the technical field of cultural relic digitization and interaction, and the system comprises a binocular vision image collection module which is used for shooting and storing a multi-view high-definition image of a cultural relic; the AI image splicing fusion module preprocesses the image and generates a panorama; the cultural relic three-dimensional reconstruction module constructs a three-dimensional model with fine textures; real-time fusion of the intelligent shooting module fusion model and a visitor image is carried out to generate an interactive picture; the interactive output and management module provides related functions and manages data; by integrating binocular vision image acquisition, AI image splicing and fusion, cultural relic three-dimensional reconstruction and real-time fusion intelligent shooting technology modules, intelligent upgrading of cultural relic display and visitor interaction is achieved, the system adopts a binocular camera shooting mechanism triggered by multiple strategies, timing and induction triggering modes are combined, and the intelligent upgrading of cultural relic display and visitor interaction is achieved. The method can flexibly adapt to the demands of different exhibition scenes, guarantees the high efficiency of cultural relic image collection, and avoids the waste of resources.

The invention provides a precision machining and 3D printing mixed manufacturing execution system, and relates to the technical field of data processing, and the system is used for dividing a three-dimensional model into a configuration area and a finishing area, generating a layer-by-layer closed contour path, obtaining configuration path data, extracting a boundary segment close to the finishing area, and obtaining a configuration path data set; calculating a space projection vector on a finishing target surface to obtain primary finishing path data; calculating a boundary torsion value; superposing interference offset in a historical sample path to a primary finishing path; calculating an interference amplitude index; the fitting path data and the configuration path data are subjected to path connection and unified processing according to the manufacturing sequence, and a mixed execution path instruction is obtained. Precise machining and 3D printing are integrated, and path overlapping, empty cutting or unnecessary machining is avoided.