622 results about "Modeling software" patented technology

The invention discloses a fracture structure multi-scale modeling method based on multi-source data fusion, and belongs to the field of geological modeling, and the method comprises the following steps: S1, collecting and preprocessing multi-source data; s13, aligning the data, and integrating the data from different sources together; s2, three-dimensional geologic modeling: S21, generating an initial three-dimensional grid by using geologic modeling software to obtain an initial three-dimensional geologic body model; s22, dynamically adjusting the density of the initial three-dimensional grid by using a self-adaptive grid division technology; s23, using a machine learning algorithm to identify and classify faults; s3, expanding the three-dimensional geologic body model macroscopically and microcosmically; and S4, performing dynamic simulation and prediction by using the three-dimensional geologic body model. By adopting the fracture structure multi-scale modeling method based on multi-source data fusion, the accuracy and reliability of the fracture structure model are improved by integrating multiple data sources and multi-scale analysis.

The invention provides a virtual-real fusion method for digital twinning operation of a cell drug factory in combination with the Internet of Things, which comprises the following steps: constructing geometric models of a culture medium storage tank and a bioreactor through three-dimensional modeling software, mapping and associating historical process parameters of a culture medium supply system and temperature, pH value and dissolved oxygen concentration monitored in real time with the geometric models, and obtaining a virtual-real fusion model of the culture medium storage tank and the bioreactor; constructing a digital twinborn model of the reactor; analyzing historical production data through a machine learning algorithm, extracting a quantitative relationship among key parameters of a cell metabolism rate, a glucose concentration in a culture medium, a pH value and a reactor temperature, establishing a cell growth prediction model, and predicting a growth trend and a metabolism demand of cells in a target time period; a virtual-real mapping mechanism of a culture medium supply system is integrated with an intelligent manufacturing execution system, so that the culture medium supply process and the whole pharmaceutical production process are subjected to collaborative optimization control, and the working procedures of the culture medium production process are automatically dispatched according to a production plan and cell growth requirements.

The systems and methods disclosed herein enable the dynamic selection of one or more AI models to generate an output in response to an input. The system receives, from a computing device, an output generation request including an input for the generation of an output using one or more models from a plurality of models. The system generates expected values for a set of output attributes of the output generation request. For each particular model in the plurality of models, the system determines the capabilities of the particular model, and dynamically select a subset of models from the plurality of models. The system dynamically selects a subset of available system resources to process the input included in the output generation request. The system generates the output by processing the input included in the output generation request using the selected subset of available system resources.

The invention relates to the technical field of material simulation models, and particularly discloses a finite element analysis and thermal expansion mismatch effect-based comprehensive simulation model construction method, which comprises the following steps of performing geometric model construction on a target material; constructing a geometric model: adopting modeling software to create the geometric model of the target material, and obtaining a thermal mismatch target area interface; parameter data of a target material are obtained for assignment, and then a target material grid is preprocessed; performing boundary condition constraint on the geometric model of the target material, and applying a temperature load; establishing a thermal stress corresponding mechanism for the geometric model of the target material, calculating to obtain thermal stress values of the unit grids, and converting the thermal stress value on each unit grid into a cloud picture in a color manner based on the thermal stress values of the unit grids to obtain a thermal expansion mismatch effect comprehensive simulation model; the quantitative analysis capability of the thermal stress difference of multiple materials is realized; potential stress concentration areas caused by thermal expansion mismatch can be identified.

The invention provides a rapid karst cave modeling method and system based on multi-source data, and the method comprises the steps: collecting multi-source data including geological exploration data, remote sensing data and unmanned aerial vehicle aerial photography data, and carrying out the preprocessing of the multi-source data; fusing the preprocessed data by adopting a weighted fusion or principal component analysis method; extracting shape features, size features and position features from the fused data; the extracted karst cave features are converted into point cloud data or grid data, and a karst cave model is constructed through three-dimensional modeling software; performing vertex editing and patch adjustment on the initial model, and correcting the model form in combination with expert experience; and comparing the constructed karst cave model with actual geological data, and if an error exceeds a preset threshold value, iteratively adjusting model parameters until a precision requirement is met. According to the method, efficient extraction, accurate modeling and dynamic optimization of the karst cave geological information can be realized.

The invention provides a multi-view image reconstruction method and device based on three-dimensional Gaussian sputtering characterization, and the method comprises the steps: collecting and obtaining a multi-view image of a to-be-reconstructed target object, the multi-view image being a shot image of the target object at multiple views, and each image having corresponding pose information; according to the multi-view image and the pose information, through single-view rendering, Loss calculation, gradient return and model densification, training a three-dimensional Gaussian sputtering model to obtain a final Gaussian primitive; and labeling each part of the final Gaussian primitive, reconstructing the final Gaussian primitive into a grid body model by adopting a rendering mode corresponding to the labeling, and generating a rendering depth image and an RGB image. According to the method, the better grid model can be obtained by collecting the multi-view depth rendering result, the model is further adjusted through the three-dimensional modeling software subsequently, the industrial three-dimensional reconstruction process can be fused more conveniently, the reconstruction operation period is shortened, and the reconstruction quality is improved.

The invention discloses a steel reinforced concrete member full-period management method based on industrial big data. The method comprises the steps that a member model is established through BIM modeling software, an easily-buckling area is screened in combination with finite element buckling analysis, a buckling monitoring point is arranged on the surface of an analysis plate body, and a plate body monitoring point is arranged on the splicing edge; extracting model coordinate data to generate processing parameters, and guiding plate cutting and monitoring point position marking; actual coordinates of all monitoring point positions in the profile steel component are obtained through laser scanning and compared with model coordinates, and reworking is triggered if errors exceed the limit; constructing a neural network model, inputting various parameters related to analysis of plate body buckling to obtain a predicted buckling monitoring point out-of-plane displacement value, and judging compliance; according to the method, the problems of low efficiency, error accumulation and lack of full-period closed-loop management of a traditional method are solved, the machining precision and the structural safety of the steel reinforced concrete member are remarkably improved, and the hardware cost and the detection time consumption are reduced.

The invention provides a fault diagnosis method and system for a spindle box of a high-speed gear milling machine based on fault mechanism simulation and data fusion. The method mainly comprises the following steps: S1, calculating a tooth profile wear curve of a gear based on an Archard wear principle; s2, three-dimensional modeling software is used for building system models in different wear states, and simulation data sets under different wear degrees are obtained with the help of dynamics simulation software; s3, establishing a data acquisition system to obtain an experimental vibration data set under the actual working condition of the spindle box; s4, constructing a spindle box fault diagnosis model by using the analogue simulation data set obtained in the step S2; and S5, performing fault diagnosis on the experimental vibration data set obtained in the step S3 by using the spindle box fault diagnosis model constructed in the step S4, and identifying the health condition of the spindle box system. Important data support is provided for a main axle box fault diagnosis and health management system, and the diagnosis accuracy and reliability are improved.

The invention provides a heat exchanger design method based on a mixed TPMS structure, and relates to the technical field of heat exchange, and the method comprises the following steps: 1, combining a sigmoid function to realize smooth transition of two original typical TPMS structure curved surfaces so as to construct a flexible mixed TPMS lattice structure mathematical expression; 2, lattice units are output in three-dimensional modeling software according to the obtained flexible mixed TPMS lattice structure mathematical expression; thirdly, periodic arrays of the target lattice units in a space coordinate system are achieved according to the structural requirements of a heat exchanger shell, independence of a hot flow basin and a cold flow basin is achieved by sealing opposite fluid areas at a hot fluid inlet and a cold fluid outlet respectively, and finally a flexible mixed heat exchange core structure is obtained and filled into the heat exchange shell to obtain the heat exchanger; and 4, flow and heat transfer characteristic analysis is carried out on the TPMS heat exchanger with different flexible mixing so as to obtain the optimal design. And by adopting the flexible TPMS structural design, the heat exchange area can be increased under the condition that the size is kept unchanged, so that the heat exchange performance is improved.

The invention discloses a valve processing and manufacturing method based on digital twinning, which comprises the following steps: S1, constructing a valve digital twinning model, creating a valve geometric model by using three-dimensional modeling software, and endowing the valve geometric model with physical attributes and material characteristics through finite element analysis software, carrying out design optimization through fluid mechanics simulation and stress analysis; s2, establishing a processing technology digital twin model, performing digital modeling on the device, integrating processing technology parameters, and simulating a material processing process; s3, the machining process is monitored in real time, multiple types of sensors are deployed on machining equipment, and operation data of the machining equipment are collected in real time; s4, dynamic simulation and comparative analysis are conducted, specifically, the digital twin model dynamically simulates the actual machining process according to real-time collected data, and a simulation result and design requirements are compared and analyzed; and S5, feedback control optimization: when the processing deviation exceeds a preset threshold value, automatically generating a process parameter adjustment scheme and feeding back the process parameter adjustment scheme to a processing equipment control system.

A computer system for building, simulating, and / or validating a predictive model. The computer system programmed to (i) analyze one or more predictive pricing sub-models to detect one or more issues; (ii) execute a GPT model on the one or more predictive pricing sub-models, the GPT model trained to identify differences between predicted pricing and actual pricing for certain predefined events; (iii) compare the one or more issues to one or more outputs of the GPT model; (iv) in response to the comparison, generate a new model software template including one or more code changes to the one or more predictive pricing sub-models based upon the comparison; (v) generate a simulation environment based upon a plurality of data; (vi) execute the new model software template in the simulation environment; and / or (vii) update the new model software template based upon one or more outputs of the execution.

The invention relates to the technical field of equipment operation optimization, in particular to an electric power equipment operation optimization method and system based on digital twinning. The method comprises the following steps: acquiring operation data of physical power equipment through a sensor; building a digital twinborn model of the power equipment by utilizing modeling software Simulink based on the operation data; establishing bidirectional data streams from the physical power equipment to the digital twinborn model and from the digital twinborn model to the physical power equipment, and performing data synchronization; performing state estimation on the synchronized digital twin model by using a particle filtering algorithm, and introducing a physical degradation model of equipment aging in the state estimation process; and based on the estimated state, optimizing the operation condition of the equipment through a particle swarm optimization algorithm. According to the design of the invention, the digital twinborn model synchronized with the physical power equipment is constructed, and the particle filter algorithm is utilized to carry out accurate state estimation, so that the operation state of the power equipment can be monitored in real time.

The invention provides a garden landscape design method and system based on digital twinning. The garden landscape design method based on digital twinning comprises the following steps: extracting a geographic position area planar graph of a to-be-designed garden landscape; constructing a digital twinborn model of the landscape architecture through three-dimensional modeling software in combination with a digital twinborn platform; setting an overall structure of the garden landscape according to the geographic position area plan, and obtaining an overall design scheme of the garden landscape; and according to the overall design scheme of the landscape architecture, setting nodes and landmark images of the landscape architecture, and generating a node and landmark image setting scheme. According to the scheme, various factors including terrain, vegetation, water, light, human activities and the like can be comprehensively considered. Through comprehensive analysis and planning based on a digital twinborn model, an outdoor environment meeting various requirements and limitations can be created; according to the scheme, the spatial layout can be optimized, the optimal utilization of the site area is ensured, and functional requirements are met.

The invention relates to the technical field of model design, in particular to an integrated design method and system for a three-dimensional simulation model of a natural gas burning gun. The method comprises the following steps: collecting geometric parameters and operation parameters of a natural gas burning gun to obtain initial equipment parameter information; performing laser micro-texture treatment on the inner surface of a combustion chamber of the natural gas combustion gun to generate periodic micro-groove array data; constructing a three-dimensional initial model of the natural gas burning gun through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; and acquiring natural gas fuel characteristic data, inputting the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and performing multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result. Through three-dimensional modeling, combustion simulation and dynamic optimization adjustment, the problems of low efficiency, large optimization difficulty, lack of real-time feedback and the like in traditional design are solved, and the design precision and combustion performance of the natural gas combustion gun are remarkably improved.

The invention relates to the field of virtual reality (VR) and medical image processing, in particular to an acupuncture copper human visual frame selection system combined with 3D digital human body modeling. The main components of the scheme comprise 3D modeling software, a multi-level 3D acupuncture copper human model (including skin, meridians and collaterals, acupuncture points and skeleton layers), a J2000 coordinate system, an interactive interface, an infrared thermal imager, a six-axis force sensor, an AI clustering algorithm, a force steering algorithm, a decision tree algorithm, an ICP algorithm, a v-mode l technology, a BERT model and the like, and the components work cooperatively to construct a high-precision 3D model and calibrate coordinates. A frame selection instruction is received through multi-modal interaction, temperature and force data are collected to generate a dynamic matrix, label arrangement and rule generation are carried out, multi-source data are integrated and exported, real-time binding and intelligent recommendation of acupuncture points and models are achieved, a complete acupuncture point visual frame selection system is formed, and the acupuncture point positioning accuracy and the operation intelligent level are improved.

The invention discloses a digital human 3D face reconstruction method, computer equipment and a readable storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a plurality of different expression models under an ARKit framework, and creating a basic 3D head model based on 3D modeling software; fitting each expression model by using the basic 3D head model to determine multiple groups of expression parameters and shape parameters, and creating a target 3D head model based on the multiple groups of expression parameters and shape parameters and the basic 3D head model; and performing 3D face reconstruction on the face image based on the target 3D head model. According to the method, the 3D face reconstructed based on the face image can be richer in shape and expression expression and is close to a real person.

The invention discloses a 3D printing self-adaptive wing design method based on generative artificial intelligence, and relates to the crossing field of 3D printing and artificial intelligence. In order to solve the technical problems of complex manufacturing, low reliability and large weight of a traditional process in the prior art, the technical scheme provided by the invention comprises the following steps: pre-training a large language model to obtain a trained basic model; receiving self-adaptive wing structure design parameters input by a user and generating a design scheme script; calling three-dimensional modeling software, automatically establishing a wing three-dimensional model based on the design scheme script, and outputting a model file; calling simulation analysis software, performing wing performance simulation analysis based on the model file, and outputting analysis result data; and calling the basic model to carry out design scheme evaluation and iterative optimization based on the analysis result data until an optimized model file meeting the design requirement is generated. The method can be applied to intelligent design and automatic manufacturing of self-adaptive wing structures of aerospace crafts.

The invention discloses a three-dimensional conversion method for a two-dimensional geological profile map, and the method comprises the steps: S100, data obtaining and preprocessing: obtaining an original geological profile map, carrying out the format conversion of the original geological profile map, eliminating overlapped line segments and micro short line segments, and maintaining the topological consistency; s200, conversion parameter calculation is conducted, specifically, drilling coordinates are obtained, and a conversion script is compiled based on the real geodetic coordinates, the two-dimensional profile map coordinates and the azimuth angle; and S300, conversion execution: reading the map subjected to format conversion in the S100 into three-dimensional modeling software, and executing the script language compiled in the S200 to obtain a three-dimensional geological profile map. According to the method, the whole file is converted, the conversion from the two-dimensional geological prospecting line section to the three-dimensional geological section map can be rapidly and integrally completed through the existing software technology and simple script codes so as to be used for three-dimensional geological modeling, a large amount of manpower and material resources can be effectively saved, and the production efficiency can be improved.

The invention belongs to the technical field of coal bed gas mining, and particularly discloses a multi-coal-bed mining optimization control method based on crossheading position stability, and the method comprises the steps: comprehensively obtaining parameters such as coal bed spacing, thickness, inclination angle, roof and floor lithology and fault distribution, and generating an accurate three-dimensional geologic model through three-dimensional modeling software; and the condition of incomplete geological analysis of a traditional method is changed. And on the aspect of crossheading arrangement, empirical operation is replaced with finite element analysis, the anchor rod distance and the support density are accurately determined, and safety and economical efficiency are improved. The mining sequence planning is changed from dependence on a fixed rule to establishment of an identification model combined with a genetic algorithm, and dynamic optimization is realized. The mining height, the mining width and the advancing speed are flexibly regulated and controlled according to the mapping relation table in the mining process, and real-time dynamic adjustment is achieved. Meanwhile, the early warning mechanism calculates scores based on crossheading stress data, is more accurate and sensitive, and has higher pertinence and effectiveness.

The invention relates to an iron tower foundation safety analysis method considering the dry-wet cycle effect. The method comprises the following steps that 1, a soil body strength degradation constitutive model is established; 2, determining iron tower foundation structure parameters and soil body parameters; 3, establishing an iron tower foundation-soil body three-dimensional geometric model by utilizing three-dimensional modeling software and rock-soil finite element simulation software; 4, applying a load transmitted to the iron tower foundation by the power transmission iron tower in the iron tower foundation-soil body three-dimensional geometric model, defining initial parameters, and establishing a rainwater seepage and dry-wet cycle coupling effect analysis model; 5, analyzing and predicting the cycle index when the safety coefficient of the iron tower foundation is reduced to a threshold value from the two aspects of tower foundation ultimate bearing performance and iron tower foundation-soil body interaction on the basis of a rainwater seepage and dry-wet cycle coupling effect analysis model; according to the method, an efficient and accurate numerical analysis means can be provided for safety assessment of the power transmission tower foundation in the collapsible loess area.

The invention provides a reamer cutting process optimization numerical simulation method, system and device and a storage medium, and belongs to the technical field of reamer simulation, the method comprises the following steps: analyzing the influence of reamer working performance parameters on reamer cutting performance simulation parameters, and then optimizing the reamer cutting performance simulation parameters; based on the main body geometric parameters, the modeling software is controlled by running the first script to conduct three-dimensional modeling, and a reamer geometric model is obtained; and inputting the reamer geometric model into numerical analysis software, simultaneously receiving cutting characteristics and cutting condition information input by a user, and then operating a second script to control the numerical analysis software to carry out finite element numerical modeling to obtain a reamer cutting numerical model. According to the method, automatic modeling of the reamer geometric model and the reamer cutting numerical model can be achieved, the reamer geometric model and the reamer cutting numerical model are subjected to integrated packaging, the treatment process can be simplified, the treatment capacity can be reduced, and the working efficiency can be improved.

The invention relates to the technical field of compressed air energy storage, in particular to a surrounding rock stability simulation method and system for a compressed air energy storage reservoir transformed by waste roadway grouting, and the method comprises the following steps: determining initial geomechanical conditions, and determining geological strength index values of a damaged area, a damaged area and a disturbed area around a compressed air energy storage chamber; simulating software is called, a waste roadway surrounding rock three-dimensional entity model containing the random fractures is constructed by utilizing the material attributes of the different partitions, grouting diffusion range simulation is conducted on the obtained entity model, and an obtained simulation result is imported into three-dimensional modeling software; obtaining a gas storage model containing grid lines and importing the gas storage model into a three-dimensional numerical analysis program; calling a grouting reinforcement fractured rock creep damage model under circulating pressure-storage-gas discharge disturbance, and embedding the model into a three-dimensional numerical analysis program; based on a three-dimensional numerical analysis program, under the influence of different factors, numerical simulation analysis is carried out on the evolution law of a surrounding rock stress field and a deformation field during the service period of the compressed air storage reformed by the abandoned roadway after grouting reinforcement.

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 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 discloses a wire harness layout optimization method based on three-dimensional simulation, relates to the technical field of wire harness layout optimization, and solves the technical problem that layout is unreasonable due to the fact that interference between wire harness layouts is not considered by comprehensively considering various factors. Whether space interference exists in a preliminarily planned route is judged based on a model and an electrical schematic diagram, if interference exists, interference areas and reasons are analyzed and obtained, the number of reasons is judged, single or multiple types of reason signals are generated, optimization information is generated according to the single reason signals and the obtained information, and whether reason interaction exists or not is judged according to the multiple types of reason signals; if yes, generating optimization information, if not, generating a path analysis signal, analyzing the path analysis signal, obtaining all planned paths, calculating the planning priority value of each path, generating optimization information by taking the maximum planning priority value as a standard, properly solving the problem through system analysis, and reducing design change and cost increase.

The invention discloses a building information model automatic construction method and system and a storage medium. Multi-source data are collected and preprocessed to form input data in a unified format; respectively extracting two-dimensional and three-dimensional features by using a multi-branch architecture of a convolutional neural network, and comprehensively outputting feature information of the building component in a feature fusion layer; and calling a modeling software interface to convert an identification result into corresponding components, and sequentially assembling the corresponding components into a complete building information model. In order to ensure the accuracy of the model, the method introduces a repairing mechanism based on geometric constraint to adjust gaps and overlapping between components, meanwhile, the volume error rate and the position deviation of the model are verified through statistical analysis, if the volume error rate and the position deviation exceed threshold values, error data are fed back to a network to be retrained, and closed-loop optimization of the model construction process is achieved. And the automatic feature extraction capability of deep learning is combined with a BIM software modeling mechanism, so that the modeling efficiency and precision in a complex scene can be remarkably improved.

The invention relates to the technical field of silicon carbide boat support manufacturing, and particularly discloses a silicon carbide boat support and a manufacturing method thereof.The manufacturing method comprises the following steps that S1, the boat support is designed through three-dimensional modeling software; s2, uniformly mixing the silicon carbide powder with various particle sizes; s3, slurry preparation: stirring and mixing the powder and a curing agent to obtain slurry; s4, the three-dimensional model slices of the boat support are printed and formed through a 3D printing device, and glue is smeared between every two layers of slices; s5, performing hot air drying on the blank in a drying oven; s6, in a vacuum sintering furnace, the blank is subjected to vacuum sintering and glue discharging; s7, the blank is subjected to polishing, machining, sand blasting, purification, ultrasonic cleaning and drying process treatment; compared with traditional injection molding, the silicon carbide boat support is manufactured through 3D printing, mold production and manufacturing can be omitted, and the production cost is reduced; and various forming parameters are visualized, so that the forming difficulty is reduced, and the yield of the silicon carbide boat support is improved.

The invention discloses a pervious concrete microstructure and water permeability prediction method based on artificial intelligence, and belongs to the technical field of pervious concrete performance prediction.The pervious concrete microstructure and water permeability prediction method comprises the steps that S1, a characteristic coarse aggregate particle three-dimensional geometric model data set library is established; s2, establishing an aggregate three-dimensional close packing model in the pervious concrete structure; s3, re-importing the aggregate three-dimensional close packing model into the image modeling software MIMICS, and reversely generating a two-dimensional cross-sectional image which is a coarse aggregate image; s4, constructing a pervious concrete microstructure prediction model by adopting an artificial intelligence method; s5, inputting the coarse aggregate image into the pervious concrete microstructure prediction model built in the step S4 to obtain a pervious concrete prediction image and porosity information; s6, establishing a connected pore model required by permeation to realize the prediction of the water permeability performance; according to the artificial intelligence-based pervious concrete microstructure and water permeability prediction method provided by the invention, refined prediction of the water permeability coefficient of the pervious concrete is realized.

The invention relates to the technical field of three-dimensional modeling, and discloses a hybrid modeling method, device and equipment, and the method comprises the steps: constructing a three-dimensional model for any part of a target structure in modeling software, the three-dimensional model being a grid model or a curved surface model; fusing the three-dimensional models of all the components under geometric constraints to obtain a first mixed model; flattening the first mixed model in a two-dimensional plane to obtain a two-dimensional coordinate; superposing image textures on the two-dimensional coordinates and performing data compression to obtain texture coordinates; mapping the texture coordinates to a three-dimensional space to obtain a second mixed model; and individually setting the second hybrid model, and exporting a third hybrid model of the target structure through rendering. According to the method, a systematic mixed modeling process is formed by integrating the steps of geometric modeling, seamless fusion, flattening, texture superposition, rendering and the like, the working efficiency is improved, it is ensured that the finally output model has high precision and high visual effect, and meanwhile consumption of storage and computing resources is reduced.

The invention provides a mountain complex landform road line selection generation method and system, and relates to the technical field of geographic information technology and intelligent traffic, and the method comprises the steps: collecting landform data of a mountain park, and obtaining a DEM through a GIS technology; setting parameters of modeling software according to the topographic data and the DEM, and creating a road component library according to software parameters; according to the road component library, road line selection schemes are coded, the road line selection schemes are converted into particle position vector forms, and the position of each particle represents a possible road line selection scheme; and determining the scale of the particle swarm, randomly initializing the position vector and the velocity vector of each particle, and setting key parameters in a particle swarm optimization algorithm to construct a road model. According to the method, the road line selection scheme of the mountain complex landform is rapidly generated and visually displayed and analyzed, and scientific and effective support is provided for road planning and design.