870results about How to "Improve modeling efficiency" patented technology

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 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 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.

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 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 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 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 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.