6results about How to "Fast modeling" patented technology

The present invention relates to a method and device for modeling sedimentary phases based on a generative adversarial network with a single training image. The method constructs a sedimentary phase simulation model with a multi-level generative adversarial network of a pyramid structure, obtains a single real sedimentary phase training image, and generates a multi-scale hierarchical training image based on the training image to train each level of the generative adversarial network. During the training process, the error between the output image of the generator in each layer of the network and the preset condition is judged, and the output image is corrected when the error threshold is exceeded. Finally, the sedimentary phase simulation model with complete training is used to simulate the sedimentary phase based on the given river channel training image and sedimentary phase generation conditions. The present invention reduces the acquisition cost of training data, has a fast modeling speed and high efficiency, and can perform random modeling of sedimentary phases and simulate the uncertainty of sedimentary phases on the premise of meeting given conditions.

The application discloses a tokamak discharge modeling system based on a bidirectional long short-term memory neural network, which is composed of multiple modules, and the modules are low-coupling functional units.The modules at least include a data transfer module, a Batch data access input module, a training self-defined parameter module, a bidirectional long short-term memory neural network modeling module and a data visualization module.The whole system architecture is mainly divided into two paths, namely data training and data modeling.Using the visualization technology, the tokamak discharge experiment personnel can refer to the discharge modeling results and visualize the model training process.The application can one-key type in the experiment proposal stage to model the whole process of the tokamak discharge curve in advance, so that the experiment personnel and the proposal design personnel can check the validity and rationality of the proposal.The application can also be used for assisting data discovery after the experiment.

The present invention relates to the technical field of engineering monitoring, and in particular to a method and device for detecting internal defects of a pipeline by stereoscopic visual imaging. The method comprises the following steps: obtaining a depth image of the interior of a pipeline to be detected; determining an initial frame image in the depth image, and selecting a key frame image located after a time series of the initial frame image according to a preset angle condition and / or mileage condition; constructing a three-dimensional model of the interior of the pipeline to be detected; extracting point cloud data from all the depth images, performing cylinder fitting and segmentation processing on all the point cloud data, and determining a cylinder segment of a non-cylindrical surface according to a preset cylinder determination threshold; bringing the position information and image information of the defect target into the three-dimensional model for reconstruction to obtain a three-dimensional model with defect information. The method can quickly construct an internal model of a pipeline with defect information.

The application belongs to the technical field of power secondary equipment modeling, and discloses a power secondary equipment visual modeling and configuration system and method based on external electrical signal labeling, equipment and medium, to solve the problems of large manual workload, poor configuration consistency, missing function model and non-uniform engineering model in traditional processes. The system comprises: a geometric modeling module for establishing a geometric model; a PLP construction module for organizing physical terminals Pin, ports Port and logic layers L to form physical logic ports PLP; an external electrical signal import module for receiving external signals and labeling to Port; a semantic binding module for binding electrical signal semantics to PLP; a Function organization module for combining multiple PLPs to form a function object Function; and a model export module for exporting a structured file. The application realizes the standardization and semanticization of equipment modeling, and improves the design efficiency and data consistency.

This invention discloses a method for constructing a structured light dataset based on a digital twin model of a fringe projection system. A digital twin model of the system is constructed in computer graphics software based on the hardware and calibration parameters of a real fringe projection system. Then, a node tree is used to simulate the surface properties of the object under test and the system's ambient light source is set. The parameters are adjusted to diversify the target surface properties and ambient light. Fringe images are then imported, and automated projection and data acquisition of the digital twin model are achieved through programming. Finally, fringe images and corresponding depth images that meet the user's quantity requirements are generated, completing the construction of the structured light dataset. This invention solves the problems of complex fringe projection data acquisition processes, high dataset production costs, and limited data samples in real-world scenarios, achieving rapid and high-precision construction of fringe projection system datasets.

This invention relates to a dual-scale finite element analysis method and system for steel-concrete composite bridges, belonging to the field of civil engineering technology. The method includes the following steps: S1, establishing the length division of large-scale (macro-element) and small-scale (fine-element) regions in the steel-concrete composite bridge model, clarifying the focus of local stress analysis; S2, establishing components in both large and small scale regions and selecting element types for each component, simplifying the dual-scale model; S3, defining the material constitutive models of both large and small scale components to achieve consistency in material scale between macro-element and fine-element models; S4, assembling the spatial positions of each component and connecting the large and small scale regions to achieve consistency in deformation between the macro and fine models; S5, defining the internal contacts of each component and completing mesh generation; S6, applying actual loads and arranging actual boundary conditions to perform dual-scale finite element analysis. The technical solution of this invention has advantages such as high accuracy, high computational efficiency, and fast modeling speed.