872results about How to "Improve modeling efficiency" patented technology

The invention discloses a near infrared spectrum nondestructive testing method and a near infrared spectrum nondestructive testing device for material component content. The method comprises the following steps of: collecting calibration set samples by using a spectrometer, pretreating a spectrum, selecting an optimal calibration sample set through sample optimization and establishing a nonlinear calibration model by using the optimal calibration sample set, collecting spectrum samples with unknown component content by using the spectrometer, pretreating the spectrum in a mode which is the same as that of pretreating the calibration set samples, and detecting the component content of the unknown sample through the established nonlinear calibration model. The method and the device can effectively solve the problems of complex calibration model, slow training speed and difficult hardware implementation in the conventional near infrared nondestructive testing method for the material component content and obviously improve the accuracy and stability of a nondestructive testing result of the material component content.

The invention discloses a cloud computing system reliability modeling method considering a common cause fault, and belongs to the technical field of network reliability. The method comprises the steps of determining a state combination of a similar single server of a cloud computing system and performing simplification; calculating an existence probability of the simplified state combination of the similar single server by adopting a fault tree method; determining state combinations of similar servers of the cloud computing system, performing simplification, and calculating an existence probability of each state combination; enumerating state combinations of different servers of the cloud computing system, and calculating an existence probability of each state combination; and according to the state space of the cloud computing system, calculating the system reliability according to a given demand. According to the method, a common cause fault of all virtual machines running in the servers, caused by server faults, is considered, the state space modeling is adopted, and the state space is simplified, so that the problem of state space explosion during system scale increment is solved and the modeling efficiency is improved.

The invention relates to a three-dimensional dwelling size modeling method based a two-dimensional dwelling size diagram, which comprises the following steps: (1) constructing a database consisting of two-dimensional dwelling size diagram modeling elements and three-dimensional dwelling size diagram modeling elements; (2) selecting the two-dimensional dwelling size diagram in the form of an imageformat and performing vectorization on the two-dimensional dwelling size diagram on the basis of the database consisting of the two-dimensional dwelling size diagram modeling elements and the three-dimensional dwelling size diagram modeling elements; and (3) automatically constructing the three-dimensional diagram on the basis of the vectorized two-dimensional dwelling size diagram. The inventionprovides a three-dimensional dwelling size modeling method based on a two-dimensional dwelling size diagram, which has the advantages of low modeling difficulty and high efficiency.

The invention discloses a high-fineness urban three-dimensional modeling method and relates to the field of three-dimensional digital urban construction, airborne LIDAR (light detection and ranging) is adopted for acquiring original aerial survey data result, and an urban high-precision digital elevation model, a digital orthophoto map and a building three-dimensional body frame model are manufactured on the basis, thereby forming a foundation framework of an urban three-dimensional scene; then a vehicle-mounted movable laser scanning device is used for acquiring vehicle-mounted movable laser scanning original data result, and a high-fineness model of all types of opuscules and ground objects of an urban is acquired by performing the ground object high-fineness three-dimensional modeling under the mode of fusing vehicle-mounted point cloud after precision optimization with a photo according to a ground object parameter model base under the three-dimensional modeling environment; and the foundation framework of the urban three-dimensional scene and the high-fineness model of all the types of the opuscules and the ground objects of the urban are integrated, thereby acquiring a high-fineness three-dimensional virtual urban scene of the urban. With the adoption of the method, production efficiency is improved, project cost is reduced, development cycle is shortened, modeling fineness is improved, and actual application needs can be met.

The invention discloses a user loss prediction method and system, and relates to the technical field of networks. The method comprises the following steps of acquiring basic information indexes and behavior information indexes of users from a server; selecting part of the users from the users acquired in a statistics period to serve as sampled users, and selecting target indexes and M indexes of the sampled users; building a potential lost user identification model through a decision tree algorithm according to the target indexes and the M indexes of the sampled users; and taking values of the M indexes acquired after the statistics period as input variables of the potential lost user identification model, obtaining a loss probability of the users corresponding to the M indexes, and if the loss probability is greater than a set threshold, judging that the users are potential lost users. According to the method and the system, through the potential lost user identification model built based on the selected basic information indexes and behavior information indexes of the users, the model solidification is simple and convenient, the modeling efficiency is high, and the potential lost users can be accurately identified.

The present invention discloses a parking system path planning method on the basis of an improved ant colony algorithm. The method comprises: creating an AGV operation environment model through adoption of a link visible graph; planning the initial path of the AGV from an origin to a terminal point based on a Dijkstra algorithm; performing optimization improvement of the ant colony algorithm through introduce of a node random selection mechanism and a maximin ant system and changing of a sociohormone update mode; and selecting the improved ant colony algorithm to optimize the initial path, and completing the parking system path planning method. The parking system path planning method on the basis of an improved ant colony algorithm is able to allow an AGV to effectively avoid a barrier and then find out an optimal path through fusion of an ant colony algorithm; and moreover, a mixed algorithm shows up a high global searching ability and a good convergence, so that the path search efficiency is improved, the search path length is shortened, the search path quality is improved, the parking land occupation area is small, and the purposes of large number of effective parking and the intelligence are achieved.

The invention discloses an efficient super-resolution method based on a deep back projection network. The method comprises the following steps: (1) obtaining a total training set and a test set; (2) preprocessing the total training set to complete data enhancement; (3) scaling the images in the total training set at different scales; and (4) image super-resolution reconstruction is realized basedon the convolutional neural network, and the convolutional neural network totally comprises 27 convolutional layers and specifically comprises three parts of feature extraction, error back projectionand image reconstruction. The combination of the group convolution and the 1 * 1 convolution is used for replacing the traditional convolution to redesign the iteration submodule, and the strategy caneffectively reduce the model parameter quantity and improve the model efficiency; Each iteration sub-module comprises an error feedback mechanism, so that error correction can be carried out in time;in addition, a channel weighting module is introduced, so that the model efficiency can be further improved.

The invention relates to a micro-milling-force modeling method based on a tool abrasion effect and belongs to the field of precision and efficient machining of micro-parts. The method comprises the steps that the influence of tool tooth top trochoid motion trail, radial run-out of tooth tops, elastic recovery of machined surfaces and other factors is comprehensively considered to obtain a micro-milling-force prediction model which is not based on tool abrasion; then, the tool abrasion situation in the micro-milling process is obtained based on a finite element method, and the positive pressure and tangential friction force produced due to the fact that tool abrasion causes that the rear tool surface extrudes a workpiece are calculated based on a simulation result; finally, models of the two forces are superposed to obtain the micro-milling-force modeling method based on tool abrasion. The micro-milling-force modeling method achieves accurate micro-milling-force prediction through one model, improves the model robustness, is wide in application range and improves the micro-milling machining quality and efficiency of the micro-parts.

The invention provides a three-dimensional real scene collection and modeling method and apparatus, and a readable storage medium. A laser scanning part of a three-dimensional real scene collection apparatus is used for collecting a laser point cloud of a target in real time; a panoramic shooting part is used for collecting a real panoramic image of the target; and point cloud data and panoramic image data are synchronously uploaded to a three-dimensional real scene modeling system for performing storage and processing. The laser point cloud is subjected to homonymy point matching calculationto build an overall three-dimensional model; the panoramic image is subjected to splicing integration processing; a processed three-dimensional model and the panoramic image are subjected to fusion processing to finish three-dimensional real scene modeling; and a three-dimensional real scene model is pushed to a three-dimensional real scene application system for performing application of variousthree-dimensional real scenes through the three-dimensional real scene modeling system. Therefore, the collection and modeling processing speed is greatly increased; in emergency, the data timelinesscan be ensured; the modeling efficiency is improved; and the modeling cycle is shortened.

The present disclosure provides a method for automatic modeling of an architecture based on an architectural drawing, comprising steps of: reading parameter information of the architectural drawing, identifying a category to which any architectural object belongs by acquiring line segments constituting the architectural object and coordinate data of endpoints of the line segments; generating a binary file or a preset number of binary files based on the coordinate data and elevation data of the endpoints of all the line segments of architectural objects belonging to the same category for all storeys of the architectural drawing; optimizing the binary file or the binary files corresponding to the architectural objects belonging to the same category for all the storeys of the architectural drawing; and generating a three-dimensional model of the architecture. The modeling precision and modeling efficiency of the architecture can be improved by adopting the technical solution of the present disclosure.

A modeling apparatus includes a box holding mechanism, a box, a supply mechanism, and an elevation mechanism. The box includes a main body and a stage movably provided to the main body. The box is capable of accommodating powder and detachably provided to the box holding mechanism. The supply mechanism is configured to selectively supply liquid that bonds the powder together to a modeling enabled area inside the box. The elevation mechanism is configured to cause the stage to ascend and descend in the main body relative to the main body.

The invention discloses a modeling method of a finite element model for an overhead power transmission tower-line coupling system and belongs to the technical field of ice resistance assessment for an overhead power transmission line. The modeling method comprises the following steps: utilizing a computer to firstly establish a finite element model library of the overhead power transmission tower, a guide line and a ground wire through a program, then building a finite element model basic structure of the power transmission tower-line coupling system, and using a geometric nonlinear finite element form finding analytic method to build an accurate finite element model of the overhead power transmission tower-line coupling system under the self-gravity action, so as to realize quick and efficient establishment of the finite element model for the overhead power transmission tower-line coupling system. The method has the advantages of simplicity, strong operability, less modeling workload, high efficiency, accuracy, reality and reliability in the model, high precision, strong applicability and the like. The modeling method can be widely applied to establishment of the finite element model for the overhead power transmission tower-line coupling system, in particular to establishment of the large-area multi-line overhead power transmission tower-line coupling system, and provides accurate and reliable basis for assessment of the ice resistance.

The invention belongs to the field of business intelligence, and particularly relates to industry data-oriented index setting definition, management, storage and application of providing data analysis and support. The invention discloses an index-system-model-based agile business intelligence data construction method. An index calculation model and data storage function construction method for different industries and service fields is realized by using index data capable of distinguishing data characteristics as a center through dynamic extraction of the index data, index system configuration and attribute definition. The method comprises the following steps of: performing index system extraction by using a minimum granularity information unit as an index extraction principle, and then performing index attribute definition and setting. By the index-system-model-based agile business intelligence data construction method, the application of a business intelligence platform can be prevented from being constrained by specific industry and service, a basic data model for data analysis and application is quickly and effectively constructed, the construction problem of an on-line analytical processing (OLAP) model is solved, and a foundation is laid for efficiently constructing various data analysis and application models with high quality.

The invention discloses a regional distributed photovoltaic output prediction method based on a satellite cloud picture, and the method comprises the steps: 1, carrying out the dividing of a regional distributed photovoltaic system according to a grid; 2, carrying out the data recording; 3, carrying out the processing of historical data; 4, carrying out the correction of the power data of a power clear sky model; 5, carrying out the calculation of a cloud index; 6, carrying out the normalization processing of different time lag scale data of output power of each grid, corrected clear sky model power, sun spatial-temporal model data, air quality data, weather forecast information and satellite cloud picture cloud index operator data, and building an Elman neural network model through a random training method; 7, inputting the latest calculated input variable parameters into the above models, and enabling the prediction data of each grid to be superposed to serve as the regional photovoltaic output prediction data. The method is higher in prediction precision, and is higher in efficiency.

The invention relates to a process for casting a wear-resistant hammer head, in particular to a process for casting the wear-resistant hammer head by compounding two kinds of metal liquid. A method for synchronously smelting and pouring the two kinds of metal liquid, and molding by using a stripping plate molding machine is adopted. The process comprises the following steps of: manufacturing a mold, a core box, a sand core and the stripping plate molding machine, molding, smelting, pouring, opening the box for cleaning, and performing heat treatment. The hammer head cast by the process has the characteristics of high toughness, strength and wear resistance, the conditions of cracking and falling-off of a hammer handle and the hammer head can be avoided, and wear resistance is high; the stripping plate molding machine is convenient and easy to use, a casting mold is standard, production efficiency is high, and production cost is low; meanwhile, multiple purposes can be achieved, and hammer heads of multiple specifications can be provided for users.

The invention provides an indoor building three-dimensional modeling method based on point cloud data. The method comprises the steps of firstly, obtaining and preprocessing the three-dimensional point cloud data; then carrying out the point cloud plane clustering to extract plane patches, calculating the neighborhoods of the plane patches according to a point set contained in the plane patches and used for plane semantic classification, merging processing, plane boundary capturing and topological information generation, and finally outputting a closed three-dimensional patch model which is composed of three-dimensional plane polygons and contains semantic and topological information of the indoor building. According to the invention, the problems such as the measurement errors existing inpoint cloud data, the density distribution unevenness, the data is incomplete due to indoor object shielding and the lack of semantic information, are overcome, a working process for automatically and quickly establishing the three-dimensional surface patch model of the indoor building by utilizing the three-dimensional point cloud is provided, the three-dimensional point cloud data of differentsources can be processed, a new method is provided for automatic and quick modeling of the indoor building, and a rich data basis is established for the indoor three-dimensional model in the fields ofmeasurement, building decoration, property management and the like.

The invention provides a side slope point cloud curved surface reconstruction and deformation information extracting method, which belongs to the field of deformation monitoring. The side slope point cloud curved surface reconstruction and deformation information extracting method adopts an improved RBF algorithm, carries out curved surface modeling on side slope point cloud data subjected to point cloud preprocessing, and improves the RBF algorithm modeling efficiency and precision. For the side slope point cloud information extraction problem, the feasibility of combining Cyclone with CAD for extracting DEM and two methods which are respectively a contouring method and a three-dimensional quality inspection software method are proposed, deformation data extracted by adopting the three-dimensional quality inspection software method is compared with the traditional deformation monitoring data, and the correctness of the method is verified.

The invention discloses an I-V (Current-voltage) model parameter extraction method based on a gallium nitride high electronic mobility crystal valve. The method comprises the following steps of according to the physical meaning of the parameters of an I-V model, blocking the model parameters, decreasing the complicated degree of the I-V model, fitting transfer characteristic curves of actually-measuring pulse I-V and static I-V, extracting the model parameters of the corresponding block. Compared with the traditional parameter extraction method, the method disclosed by the invention has the advantages that the parameter extraction of the I-V model can be quickly and accurately completed, and the modeling efficiency of devices is greatly improved.

The present invention discloses a method for extracting efficient small-signal equivalent circuit model parameters based on a gallium nitride high-electron-mobility transistor (GaN HEMT) and belongs to the field of power devices. The method, for error accumulation problems in conventional parameter extraction methods, based on a GaN HEMT 20-element small-signal model, provides an iterative algorithm, which is implemented in Matlab by programming. In an iterative process, the algorithm uses a more accurate element value than a previous element value each time for calculation, thereby leading a result to tend to an optimal solution. Compared with the conventional parameter extraction methods, the method can accurately fit S-parameters of a GaN HEMT device under full bias by running a Matlab program once, thereby obtaining all parameters of an equivalent circuit model, greatly reducing human labor in a parameter extraction process, and greatly improving the efficiency of device modeling.

The present invention relates to a high-accuracy automatic 3D modeling method for complex buildings, comprising the steps of: transforming the complex building to a complex polygon by using the topological structure of polygons firstly, transforming complex polygons to a set of triangles which are seamlessly spliced by programming an algorithm and accomplishing high-accuracy automatic 3D modeling of buildings.

The invention relates to a fertilizer distributing amount error compensation control system for an aperture rotate speed bivariate seeding fertilizer distributor in the technical field of agricultural production, comprising a fertilizer distributing real time control module, a fertilizer distributing compensation control system, and an off-line control parameter generation module, wherein an optimum control parameter index table generated by the off-line control parameter generation module is connected with a compensation control module in a GPRS communication manner, and is downloaded to the fertilizer distributing compensation control system through a GPRS communication module; and fertilizer distributing control parameters generated by the fertilizer distributing compensation control system are downloaded to the fertilizer distributing real time control module through serial ports for controlling fertilizer distribution in real time. The invention can achieve precise error compensation control of the aperture rotate speed double adjustment variate seedling fertilizer distributor base on the optimum control parameter index table.

The invention discloses a photographing-based 3D modeling system and method , and an automatic 3D modeling device and method. The photographing-based 3D modeling method comprises the following steps:S1) fixing a mobile device and a camera on the same photographing bracket; S2) acquiring a plurality of images for positioning of the camera or the mobile equipment in the process of moving the bracket, and acquiring the position and orientation of each shooting point to form a route map using a unified coordinate system; S3) performing 3D modeling on the mobile device or the remote server based on the 3D modeling image of each shooting point; and S4) uniformly placing the 3D model of each shooting point in the same three-dimensional coordinate system according to the position and orientationobtained in the step S2, and splicing the joint parts of the 3D models of the plurality of shooting points to form an overall 3D model containing the plurality of shooting points. According to the photographing-based 3D modeling method, various shooting devices can be supported, and the relative position of each shooting point and the lens orientation of the camera can be automatically and accurately recorded, and a 3D model and a 2D planar graph which can roam inside can be automatically generated.

The invention relates to a simulation platform system and method of a hydraulic operating mechanism for an ultra-high-voltage circuit breaker. An energy storage system, a control valve system, a hydraulic cylinder and buffering system and a pipeline system are adopted in the method. The energy storage system comprises an initial parameter calculating module, an energy accumulator building module and a charging device submodule. The control valve system comprises an electromagnetic pilot operated valve, an amplifying valve and a main valve submodule. The hydraulic cylinder and buffering system comprises a differential type hydraulic cylinder and a cylinder buffering parameterized model submodule. A pipeline subsystem comprises an on-way pressure loss model and a local pressure loss model submodule. By means of theoretical modeling and parameter determining, the four systems are introduced into a simulation model building and calculating system, and the calculation result is output through a result output system. The simulation platform system and method can carry out computer analog simulation and accurate evaluation on the comprehensive characteristics of the hydraulic operating mechanism for the ultra-high-voltage circuit breaker, the product design period is shortened, the test cost is reduced, and the blindness of a test is avoided.

The invention discloses a method for performing modeling on a substation based on point cloud data. The method comprises the steps that (1) the substation is divided into a plurality of areas; (2) the point cloud data of entities in each area is collected through multiple times of scanning; (3) the point cloud data of the entities in each area is spliced; (4) de-noising processing is performed on the point cloud data; (5) the de-noised point cloud data is diluted; (6) the point cloud data of the entities in each area is divided; (7) classified reconstruction is performed on the divided point cloud data to generate models corresponding to the divided point cloud data; and (8) the models corresponding to the divided point cloud data are spliced to obtain a complete substation model. Through the method, modeling can be performed on the substation with high quality, high precision, high efficiency and normalization to realize three-dimensional reconstruction of the substation, and a good basis is provided for three-dimensional visual and intelligent supervision of the substation.

The invention relates to a helical-gear precise modeling method involving tooth alignment errors. The helical-gear precise modeling method comprises the following steps that (1) a tooth profile equation of a cutter is obtained according to the structure of the rack cutter; (2) according to the forms of the errors and a motion law, a cutter tooth surface equation involving helical line inclination and shape errors is obtained through coordinate transformation; (3) according to the error cutter tooth surface equation and a gear meshing law, a meshing equation is obtained; (4) according to the meshing equation and the error cutter tooth surface equation, a tooth surface equation involving helical line inclination errors and shape errors is obtained; (5) tooth surface discrete points are obtained and processed so that the tooth surface discrete points can be directly read into finite element software, and a helical gear finite element model is built. According to the helical-gear precise modeling method, the helical gear tooth surface equation involving the tooth alignment errors is directly derived according to an error cutter equation, hybrid programming is conducted through mathematical software and the finite element software, the helical gear finite element model involving the tooth alignment errors is built in a parameterized mode, modeling efficiency and precision are improved, and the workload of calculation and analysis is reduced.

The invention relates to a numerical control modeling flower-carving machine for vertical type art pottery. The numerical control modeling flower-carving machine is characterized by comprising a computer, a controller and a main machine, wherein the controller is arranged between the computer and the main machine; the main machine comprises a machine base, a workpiece mounting device, an X-axis working system, a Y-axis working system and a Z-axis working system, the workpiece mounting device and the Y-axis working system are arranged on the machine base, the X-axis working system is arranged on the Y-axis working system, and the Z-axis working system is arranged on the X-axis working system; and a spindle motor is further arranged on the Z-axis working system, and a carving knife is arranged at one end of the spindle motor and linked with the spindle motor. The numerical control modeling flower-carving machine for the vertical type art pottery can improve the modeling efficiency of the art pottery and the labor production efficiency, and simultaneously, pottery shape varieties of the art pottery are further enriched.

The invention provides a simulation apparatus by which a problem upon designing can be found in the designing stage on the upstream without imposing an unnecessary working time to a designer. The simulation apparatus includes a working means model information storage section for storing information regarding working means models related to standard part models for working the standard part models, a working means model information extraction section for referring to the working means model information storage section based on information regarding a standard part model arranged in a design model to extract information regarding a working means model to be used to work the standard part model arranged in the design model, and a working simulation execution section for executing a simulation of the working for the standard part model with the working means model based on design information of the design model and the extracted information regarding the working means model, and checks the workability of working for a subject designed in a virtual three-dimensional space on a computer.

The invention discloses a shield tunnel segment information visualization modeling method. The method comprises the steps of S1, establishing a segment ring in a graphic platform according to lining ring parameters and tunnel design axis information; S2, calculating the assembly point position and segment type of each circle of segment according to the horizontal curve element and vertical curve element of a shield tunnel circuit with the minimum value of deviation between a tunnel center line and a circuit center line as standard; S3, placing the segment ring element established in S1 at a corresponding assembly point position according to the shield tunnel segment assembly point and segment type data. Through assembly of the whole segment ring, segment positioning is simplified, background action procedures are simplified, positioning precision is improved, a modeled segment and an actual segment are assembled in the same way, the condition of a tunnel can be checked any time conveniently in the later stage, and modeling efficiency is improved.

The invention discloses a three-dimensional stratum modeling method based on regular grids and corner-point grid technology. Firstly, according to elevation data for a stratum top / bottom interface in borehole data, regular grids for a stratum top / bottom interface in a certain research region is generated through interpolation algorithm, stratum thickness data in the borehole data are used for interpolation, stratum thickness regular grids for the region are generated, and the grid number is kept to be consistent; then, according to boundary coordinates and stratum pitching-out line data for the research region, a boundary file is built, and grids outside the boundary in the boundary file are removed; then, according to fault data, fault binding is carried out on stratum top / bottom interface regular grids; and finally, on the basis of the two kinds of regular grids, the corner-point grid technology is used for realizing three-dimensional stratum modeling.

The invention discloses a high-speed train large system coupling dynamic simulation platform which adopts a distributed simulation system based on C / S (client / server) mode and comprises a foreground human-computer interaction interface portion and a background distributed based core calculating portion. The background based core calculating module comprises a task scheduling module, a coupling control module, an executor agent module, a vehicular dynamic calculation module, a line dynamic calculation module, a bow net dynamic calculation module, a tractive power supply calculation module and an air dynamic calculation module, and the foreground human-computer interaction interface portion comprises a main control module, a pre-processing module, a calculating resource management module, a calculation monitoring module, a post-processing module and a system management module. The high-speed train large system coupling dynamic simulation platform is supportive of multiple working conditions for simultaneous high speed train large system coupling dynamic simulation, capable of monitoring calculation process in real time, good in expansibility and supportive of heterogeneous exclusive-operation system, and provides a good platform for coupling simulation and operation simulation of a high speed train and a line, a contact network and a power supply system and coupling relation study and performance evaluation of the high speed train and other subsystems.