206results about How to "Fast modeling" patented technology

The invention relates to a pore network model (PNM)-based bionic bone scaffold constructing method. The method comprises the following steps of: acquiring a cross section image of microscopic three-dimensional micropore structural information and three-dimensional space position density information of a human bone by a micro computed tomography (Micro-CT) technology; performing threshold value processing to acquire binarized image data; extracting a spongy bone part, and measuring by using Mimics software to acquire porosity, penetration rate, aperture and the like; programming PNM bone scaffold parameters according to a PNM principle by using the acquired bone overall dimension data and internal size data; acquiring a generating program of the bone scaffold by using a programming tool C++ and OPENGRIP language programming; generating a three-dimensional model of the PNM bionic bone scaffold by using a Unigraphics (UG) secondary development platform; and finally leading the PNM bionic bone scaffold into the Mimics software to verify the parameters, such as the aperture, the penetration rate and the like of the PNM bionic bone scaffold. The bone scaffold well imitates a natural bone, and has high performance similar to that of the natural bone; and a good porous structure and the high penetration rate are favorable for differentiation and flowing of bone derived cells.

The invention discloses an NRIET fog forecasting method based on machine learning. The method comprises steps that historical and forecast data for model training and operational forecasting in and around the forecast area is collected; the collected data is analyzed and processed to be a sample set for training a machine learning model; for problems, an xgboost model algorithm based on a decisiontree is selected, key influence factors generated by the airport fog are screened, and a relationship model between the fog and the influence factors is established; a training set and a verificationset are trained; according to the parameter adjusting sequence, model parameters are repeatedly adjusted till a forecasting model with optimal performance is acquired; an integrated learning method is utilized, and intersect verification and iteration training are carried out for the model to further improve model forecasting performance; observed real-time data is inputted to the forecasting model to acquire the fog forecasting result.

The invention belongs to the field of image processing methods, and discloses a three-dimensional roof reconstruction method based on LiDAR data and ortho images. The method comprises the following steps of: (1) LiDAR point roof facets segmentation based on a triangular cluster; (2) roof ridge extraction based on LiDAR data nad ortho images; (3) three-dimensional roof model reconstruction. In the method, for meeting the requirement on accurate reconstruction of the three-dimensional roof model, the LiDAR data and the high-resolution images are integrated, the complementary advantages of the elevation characteristic of the LiDAR data and the high-resolution characteristic of the images are comprehensively used, 'roof facets segmentation, ridge extracton and three-dimensional roof model reconstruction' is taken as a principal line, a LiDAR point roof facets segmentation algorithm based on the triangular cluster and a roof ridge extraction algorithm based on the LiDAR data and the ortho images are realized, and a new method for three-dimensional roof model reconstruction is formed. Tests show that the method of the invention has high automation degree, higher accuracy and integrity and high location precision in modeling, and meets the needs of actual application.

An acoustic modeling system and an acoustic modeling method use beam tracing techniques that accelerate computation of significant acoustic reverberation paths in a distributed virtual environment. The acoustic modeling system and method perform a priority-driven beam tracing to construct a beam tree data structure representing “early” reverberation paths between avatar locations by performing a best-first traversal of a cell adjacency graph that represents the virtual environment. To further accelerate reverberation path computations, the acoustic modeling system and method according to one embodiment perform a bi-directional beam tracing algorithm that combines sets of beams traced from pairs of avatar locations to efficiently find viable acoustic reverberation paths.

The invention discloses a three-dimensional modeling method of an object based on a depth sensor, comprising the following steps: S1, a data acquisition step of reading data from the depth sensor to obtain three-dimensional point cloud data; S2, a preprocessing step of separating the point cloud of the object from the whole scene, removing abnormal points, extracting the boundary of the point cloud of the object, and obtaining the point cloud of the object under each visual angle; S3, a point cloud registration step of registering an object point cloud under an adjacent perspective to obtain aconversion matrix between the object point clouds under the adjacent perspective; S4, a global alignment step of fusing the point clouds under each visual angle into the global point clouds by usinga conversion matrix to obtain a three-dimensional point cloud model; S5, meshing and texture mapping step, converting the three-dimensional point cloud model into a mesh model, and then mapping the color information to the surface of the mesh model to obtain a three-dimensional texture model. On the basis of guaranteeing the modeling accuracy, the method improves the modeling speed, and has high use and popularization value.

The invention discloses a modeling system of a proton exchange membrane fuel cell (PEMFC) and an intelligent predictive control method thereof. The modeling system at least comprises an input-output nonlinear function structuring and implementing module and an intelligent predicative control module, wherein the input-output nonlinear function structuring and implementing module is used for structuring an input-output nonlinear function relationship and identifying the function by using a least square support vector machine method; and the intelligent predicative control module is used for carrying out nonlinear rolling optimization on a predicated target function by using a particle swarm optimization algorithm to acquire the optimal controlled quantity so as to realize the intelligent predicative control over the PEMFC. According to the invention, by means of establishing an output power characteristic model of a PEMFC stack by using input-output data, a complex reaction mechanism inside the PEMFC stack is avoided, and the modeling speed and the modeling precision are high.

The invention discloses an underground cavity analysis method considering nonlinear softening and dilation characteristics of surrounding rock. According to the method, a hyperbolic softening model based on the characteristics of the Hoek-Brown criterion is established according to the characteristic that the strength parameter of the surrounding rock of a tunnel is weakened with the increasing of the strain of a plastic zone, the model is based on the characteristics of a resultant stress-strain curve of the surrounding rock, and reflects the nonlinear characteristics of the surrounding rock through example verification, the model is applied to analysis for the surrounding rock subjected to strain softening in underground construction, and a new method for an underground cavity analysis is established by considering the nonlinear softening and non-associated flow characteristics as well as a nonlinear failure criterion of a rock mass; the solutions of the stress of the underground cavity, the deformation of the cavity and the radius of the plastic zone are obtained; according to the method disclosed by the invention, the dilation characteristics of the surrounding rock are considered according to a non-associated flow criterion, and with regard to the deformations of the surrounding rock under different plastic models, application example results indicate that the strain dilation of a rock-soil material with dilation and strain softening is considered to be safe.

The invention discloses an unmanned aerial vehicle-based real-time three-dimensional reconstruction method. The method comprises the following steps of: 1, acquiring scene data, obtaining depth data through a depth sensor according to the acquired scene data, and obtaining a depth map; 2, carrying out noise preprocessing on the depth map obtained in the step 1, wherein the noise preprocessing comprises a morphological operation and a filtering operation; 3, carrying out acceleration processing on the noise preprocessed depth map, wherein the acceleration processing comprises carrying out uniform sampling on two-dimensional points in the noise preprocessed depth map; 4, converting the depth map accelerated in the step 3 into a point cloud; 5, modeling the point cloud obtained in the step 4;and 6, carrying out noise re-processing on the modeled point cloud obtained in the step 5, so as to realize three-dimensional reconstruction. According to the method, real-time three-dimensional reconstruction can be carried out on scenes, so that possibility is provided for subsequent intelligent processing of unmanned aerial vehicles and application of the unmanned aerial vehicles can be propelled.

The invention relates to a method for building road assembly type bridge disease and reinforcement models by utilizing Dynamo. The method comprises the following steps: dismantling a road assembly type bridge structure according to functions; defining geometrical features of essential features of each type of component as parameters, and building correspoding Revit-family file database, wherein family files are named as structural types and features of the family files; building a bridge structure database; compiling Dynamo program code for building the bridge model; building a bridge diseasefamily library based on Revit; building a bridge disease information database; compiling Dynamo program code for building the disease model; building a bridge reinforcement component family library based on Revit; building a bridge reinforcement information database; compiling the Dynamo program code for building the reinforcement model. According to the method disclosed by the invention, by combining the structure characteristics of the road prefabricated assembly type bridge, a corresponding quick parameterized modeling method is built, the modeling process of the bridge model is simplified,and the modeling efficiency is improved.

The optical modeling method and the optical modeling device use a planar drawing mask capable of changing the mask image, and move the planar drawing mask in a parallel state on the surface of the photocurable resin composition, while simultaneously according to the light to be formed. The cross-sectional shape pattern of the cured resin layer is synchronized with the movement of the planar drawing mask, and the mask image of the planar drawing mask is changed, and light is irradiated on the surface of the photocurable resin composition through the planar drawing mask. , forming a photocured resin layer having a predetermined cross-sectional shape pattern.

The invention relates to a method for constructing a porosity-controlled bionic scaffold, which comprises the following steps of: scanning the entire natural bone by using Micro-CT technology, extracting spongy bone data and reconstructing a porous structure model of a spongy bone; measuring the porosity of the spongy bone model by using Mimics; then constructing a unit body with a proper porous structure according to the porosity; processing the unit body by using an image to obtain a three-dimensional porous structure model; and finally, performing Boolean intersection operation on the three-dimensional porous structure model and a damaged bone model so as to construct a porous structure model of the bionic scaffold, which is matched with the damaged part. In the method, the porosity corresponding to the natural bone can be obtained in the process of reconstructing and measuring, the characteristics of the natural bone can be better simulated in construction, and cell adhesion, crawling and bone replacement are more convenient. The bone scaffold constructed by the method has the same outline as real bone, which better contributes to implantation of the scaffold. A parameterized construction method can adjust different porosity characteristics of different natural bones and makes scaffold construction convenient. A construction method for obtaining the unit body by processing a unit body image solves the problem of porosity communication in a microstructure.

The invention discloses a horizontal sand-ejecting and parting clay-bonded sand automatic moulding machine. The upper sand box and lower sand box are both provided with a vertically-installed horizontally-ejecting type sand-ejecting cylinder. The damage to the moulding machine during the overturning process of the moulding sand box is avoided. The upper sand box and the lower sand box are both provided with a hydraulic servo high-frequency vibration oil cylinder. The upper sand box sand-ejecting cylinder and the lower sand box sand-ejecting cylinder are both designed to be a middle-hinged swing mechanism. The sand ejecting opening of the sand-ejecting cylinder and the corresponding sand inlet in the sand box can be precisely, stably, and reliably combined or separated by controlling the swing cylinders of the upper sand box and the lower sand box.

The invention discloses a geological interface three-dimensional morphological analysis method based on TIN (triangulated irregular network), which comprises the following steps: based on the use of a three-dimensional TIN model to simulate the geological interface, using the principles of space geometry and computer graphics to calculate general geometrical morphology parameters (gradient, angle and the like) and distance fields of the geological interface; using space interpolation and trend residual analysis technology to extract the morphology trend and fluctuation of the geological interface in a grading way; and finally applying a geological interface three-dimensional morphological analysis result to the simulation of ore-controlled geological factor fields and the concealed ore body forecasting. The method can precisely and efficiently analyze and extract all morphology parameters of the geological interface and expresses ore-controlled geological factors quantificationally and has significance in concealed ore body three-dimensional quantitative forecasting.

The embodiment of the invention discloses a 3D (Three-Dimensional) human body modeling method and device based on multiple pictures. The method comprises the following steps that: obtaining N pieces of pictures, independently identifying the human body key point of each picture, comparing the angle and the distance of a human body in N pieces of pictures to calculate the structure vertexes of theobtained N pieces of pictures, and obtaining the space coordinate of the human body key point; after the space coordinate of a bone point in a pre-established standard human body model is matched withthe space coordinate of the human body key point, generating a basic human body model; after the map textures of N pieces of pictures are obtained, generating a fused map, and carrying out fusion onthe fused map and a basic map in the pre-established standard human body model to generate a basic map; and according to the basic human body model and the basic map, generating a 3D human body model.The model generated by the embodiment of the invention is high in reduction similarity, the obtained human body information is more accurate, the generated texture and structure modeling can be moreaccurate, and modeling speed is high.

The invention relates to a deep learning digital handwriting identification method based on an ARM (Advanced RISC Machines) platform, and belongs to the field of image recognition. The method comprises the following specific steps that: constructing a softmax deep learning neural network model; utilizing an MNIST training set to train the model; transplanting the deep learning model to the ARM platform; preprocessing a handwriting digital photo shot by a camera; and identifying and outputting a result. By use of the method, TensorFlow is used for carrying out deep learning, so that the methodhas the advantages of being simple in development, high in modeling speed and high in identification accuracy, and in addition, the ARM embedded platform has the advantages of low cost, good stability, high instantaneity and the like.

The invention discloses a multi-tool collaborative three-dimensional geological modeling method and system for multi-source data, and relates to the field of three-dimensional geological modeling in geological survey and exploration. The method comprises the steps that data sources of geology needing modeling are collected, the data sources are analyzed, and a modeling object of the current geological area is obtained; the data format of the data sources is converted into the data format capable of being read by modeling software; the modeling software is selected according to the current modeling object, the modeling software builds three-dimensional geological models according to the data sources corresponding to the current modeling object; the model data files of all the three-dimensional geological models are converted into VTK data capable of being read by an open resource freeware VTK system; all the three-dimensional geological models are integrated and displayed in the VTK system. According to the multi-tool collaborative three-dimensional geological modeling method and system for the multi-source data, the modeling precision and speed are high, working efficiency is high, a user can check all the three-dimensional geological models in the VTK system, and the user can use the multi-tool collaborative three-dimensional geological modeling method and system conveniently.

The invention relates to a virtual exhibition hall construction method and system based on holographic technology, and a storage medium. The method comprises: obtaining the entity data information ofeach entity in a target exhibition hall, obtaining a plurality of three-dimensional models according to the entity data information, and distributing corresponding three-dimensional graph display instructions and corresponding positioning instructions for the three-dimensional models; analyzing a holographic instruction sent by a user, and respectively calling the corresponding three-dimensional display instruction and the corresponding positioning instruction according to an analysis result; and performing projection display on the corresponding three-dimensional model according to the three-dimensional display instruction and the positioning instruction. The holographic technology is applied to personalized construction and display of the virtual exhibition hall, the defect that a traditional exhibition hall wastes manpower, material resources, financial resources and time is overcome, the user experience is high, intelligence is better achieved, interactivity is enhanced, a high-price touch screen is reduced, and the construction cost is saved.

The invention provides a method and a system for constructing a simulation model for electromagnetic interference prediction. The method comprises the following steps: acquiring a motor static common-mode port network scattering parameter characteristic curve based on the bandwidth of a test system, and converting the motor static common-mode port network scattering parameter characteristic curveinto a port impedance parameter characteristic curve; performing rational fitting on a function relationship corresponding to the port impedance parameter characteristic curve based on a vector fitting method to obtain a vector fitting function; the vector fitting function being equivalent to a plurality of sub-circuits according to a set rule, and connecting the sub-circuits to obtain a circuit which is a simulation model for electromagnetic interference prediction; wherein the common mode port network scattering parameters comprise amplitude and phase angle. The simulation modeling method provided by the invention has the advantages of high modeling speed, high precision and easiness in convergence. The simulation modeling method provided by the invention has the advantages of high modeling speed, high precision and easiness in convergence.

The invention discloses a tailing pond model test simulation system. The tailing pond model test simulation system comprises a water supply system, a terrain simulation system, a measuring system and a water and sand recovery system. The water supply system is communicated with the upstream of the terrain simulation system through a water conveying pipeline. The downstream of the terrain simulation system is communicated with the water and sand recovery system through a mortar channel. The water and sand recovery system is provided with a sand filter device and a water return port. The measuring system is used for measuring parameters of dam-break debris flow in the terrain simulation system. The terrain simulation system comprises a terrain simulation support. A rib mesh layer, a felt layer and a waterproof layer are installed at the top end of the terrain simulation support in sequence from bottom to top. The terrain simulation support comprises a plurality of adjustable supporting bases. The lower portions of every two adjacent adjustable supporting bases are connected through a cross beam. The rib mesh is installed at the top ends of the adjustable supporting bases. The tailing pond model test simulation system solves the problems that the terrain manufacturing process is complex and water and sand are difficult to recover during tests, the model test efficiency is improved, and the test system can be recycled.

The invention discloses a three-dimensional modeling and visualization method for a low airspace. The method is mainly used for solving the problem that the existing unmanned aerial vehicle-oriented low-airspace scene visualization technology is relatively deficient. Starting from two-dimensional basic data required for establishing a low-airspace model, a data preprocessing method is given, thenprogrammed batch modeling is performed based on various models of a low-airspace scene, and meanwhile, the model is refined through an image-based method to obtain a refined low-airspace three-dimensional model. According to the established low-airspace three-dimensional model, low-airspace three-dimensional visualization of the Web side is realized through ArcGIS server construction. The method has the advantages that the three-dimensional model is established on the basis of a computer program and an image combination mode, the advantages of the two technologies are integrated, the modelingspeed is high, refined modeling can be conducted on complex buildings, the three-dimensional model is established for the low airspace, and the method can be applied to various navigation airplanes and unmanned aerial vehicles.

The invention relates to a method for establishing a complex geologic model quickly and belongs to the technical field of geologic modeling for exploration and development of oil and gas. The method is characterized by including the following steps that firstly, a three-dimensional database of grid points in a work area is established; secondly, initial normal vectors of the grid points are calculated; thirdly, corrected normal vectors of the grid points are calculated; fourthly, the grid points are chosen; fifthly, grid data, with the vertexes deleted, of a complex geologic body in the work area are subject to triangulation to generate a Delaunay triangulation network, and the geologic model is drawn. According to the method, operational data are reduced by deleting part vertexes under the condition that precision is not affected, and the simplified complex geologic model is drawn through the Delaunay triangulation network triangulation method; in this way, the problem of low modeling speed caused by massive data is solved, a grid model with large data is greatly simplified, and the purpose of increasing the modeling speed is achieved. The method has the advantages that the modeling speed is obviously increased, and the high-fidelity geologic model can be obtained.

The invention relates to the technical field of building construction. The invention particularly relates to a BIM method for automatically generating longitudinal bars and side structural steel barson the lower portion of a beam. The method mainly comprises the steps of establishing a beam structure model through a mainstream BIM software platform Revit in a BIM technology implementation process; intelligently calculating various parameters of the lower longitudinal bars and the side structural steel bars of the beam through visual programming, and finally generating multiple steps such as constructing rebars of lower longitudinal ribs and side ribs of beams, wherein the steps meet the design picture set in the national building standard entitled " drawing rules for an overall representation method of concrete structure construction maps and details of construction". Information, a core factor of BIM technology, is integrated from concrete engineering to steel engineering connection.Therefore, a most fundamental and important step in the application process of BIM technology. The invention quickly builds the steel bar model in BIM model to form structural information of steel bars and guide construction. The invention can be widely applied in the steel bar modeling process of the floor frame beam, greatly improving the modeling speed of the steel bar and enhancing the application effect of the BIM technology.

The invention provides a point cloud-based target object three-dimensional computer modeling method, a point cloud-based three-dimensional target recognition method and a part sorting system. The modeling method comprises the steps of obtaining point cloud data of a target object; adaptively extracting sample points in a preset number range, and selecting an effective sample point combination as amodel point pair according to the relative position relationship of the sample points; and calculating enhanced feature descriptors of the model point pairs, calculating hash values of the model point pairs according to the feature descriptors, and generating a point cloud model of the target object according to the hash values of all the model point pairs. The method can be used for calculationequipment to automatically generate digital model representation of the object according to the three-dimensional target data, and a novel three-dimensional object industrial digital model which is easy and quick to model, is not limited by the form of the target object and is convenient to identify and compare is formed.

The invention relates to a construction method and system of a pipeline three-dimensional model, and a medium. The method comprises the following steps: obtaining an initial point cloud data sequenceof the inner wall of a target pipeline, carrying out the denoising and pipeline center correction of the initial point cloud data sequence, and obtaining a target point cloud data sequence; and performing three-dimensional network construction according to the target point cloud data sequence by adopting a preset gridding reconstruction method to obtain a target pipeline three-dimensional model. Various corrections can be carried out on the directly collected initial point cloud data sequence of the inner wall of the pipeline, the defects in original data are overcome, the accurate three-dimensional model of the pipeline is reconstructed according to the corrected target point cloud data sequence, three-dimensional visualization of the pipeline is achieved, the accuracy is high, the modeling efficiency is higher, and the cost is lower.

The invention relates to a mountain three-dimensional geologic body modeling method and a comprehensive geological information demonstration system.The method includes the steps that firstly, multivariate data in a mountain area are searched for; secondly, a point model of a three-dimensional geological model is obtained according to precision; thirdly, a facial model and a body model are built, a triangular prism model can be changed to be a pyramid model, an irregular tetrahedron model and a planar model, and quite high adaptivity is achieved; finally, comprehensive three-dimensional demonstration is conducted in combination with the comprehensive geological information of a researched area and the built three-dimensional geological model.The mountain three-dimensional geologic body modeling method and the comprehensive geological information demonstration system are high in modeling speed, high in rendering speed and suitable for geological three-dimensional modeling; separate display of the three-dimensional geological model and the comprehensive geological information.The method and system can be applied to mining area modeling and regional geological modeling; multiple types of geophysical data modeling including seismic exploration and the like are supported, and the method and system can be applied to geological and earth physics experiment teaching and practice and can also be applied to comparison experiment research of multiple types of geophysical methods.

The invention provides a functional modeling-based more-electric aircraft power system modeling method and a model thereof, which comprises a variable-speed and variable-frequency (VSVF) generator module, a bus bar connection circuit breaker module, a bus bar control unit module, an electric energy conversion device module, a circuit module and a load module. According to the technical scheme of the invention, the invention focuses on a functional modeling method without analyzing the actual specific structure of each component. Therefore, the method has the advantages of fast modeling speed, simple model, high precision and the like. The method is applicable to the comprehensive modeling process of a VSVF power system for multiple electric aircrafts. In this way, the operation state of the VSVF power system for multiple electric aircrafts can be effectively reflected and the failure analysis is enabled.

The automatic modeling method of the business service model comprises the steps of constructing a model, training the model, evaluating the model and applying the model, and performing continuous dataexploration and model optimization in the process of training the model and the application model; Constructing a model: carrying out data cleaning, data mining, data conversion and data writing by uploading a training set, automatically and quickly matching an algorithm model, and providing multi-dimension assessment model quality; Training a model: training the model through the test set by using a machine learning technology; And model application: applying the model to a real business scene to verify the model, and outputting a visual chart report according to business requirements afterthe model is evaluated and optimized through a test set. The invention provides a big data technology automatic modeling method covering a data mining program module, a machine learning module and anartificial intelligence program module for the whole industry.

The invention discloses a radar radiation source individual identification system based on a radar pulse sequence. The radar radiation source individual identification system comprises a radar individual pulse sequence database, a data preprocessing module, a different individual weight calculation module, a weighted extreme gradient lifting radar individual modeling module, a radar individual identification module and a radar individual identification final result calculation module. According to the invention, individual identification of the radar radiation source is realized based on the radar pulse sequence. In the radar radiation source individual identification system based on the radar pulse sequence, an original pulse sequence is used as input, wavelet decomposition is performed on the original radar pulse sequence, so that multi-scale input can be obtained. More distinguishable subtle features are mined, a weighted ensemble learning algorithm is adopted to establish a radar radiation source individual recognition model, the problem that the number of radar individual samples in a database is unbalanced can be solved, and meanwhile the method has the advantages of being high in feature extraction capacity, high in accuracy, high in modeling speed and the like.

The invention discloses a numerical processing method for deformation in a pipeline, and belongs to the field of pipeline deformation detection engineering. The problem that the pipeline deformation and pipeline three-dimensional model reconstruction is analyzed according to the detection data is solved. According to the three-dimensional detection data of the deformation in the pipeline, a plurality of discrete data point columns of a plurality of cross section perpendicular to the axis of the pipeline is established, and an additional point is arranged at the end of the discrete data point column, so that the processed discrete data point columns can form a closed curve. A cubic spline function of each section is obtained according to the processed discrete data point columns of each section and solved to obtain a one-dimensional closed curve fitting of the section of the pipeline and the ovality of the section of the pipeline. The discrete data point column sets of each section forma pipeline three-dimensional point cloud data set, and a three-dimensional model of the pipeline is established. The numerical value processing method can be used for establishing a three-dimensionalmodel of a pipeline.