6 results about "SpaceWire" patented technology

This invention provides a method and system for transmission line inspection and analysis based on digital twins. The method involves: using a digital twin object identifier as the core, uniformly solidifying the transmission line structure and constructing an initial static line structure model; based on continuously collecting multi-source sensing data and forming a time-series operational observation set, constructing a multi-physics coupled evolution model that simultaneously characterizes icing and melting, thermal equilibrium response, and mechanical evolution; identifying hidden risks by jointly discriminating the state evolution trajectory of key state variables and their historical reference distribution; and conducting parameterized perturbations and multi-scenario simulations to assess operational reliability risks. Finally, the risk development trend is reflected back into the spatial line model, generating forward-looking inspection and analysis results. This invention can perform line inspections on transmission lines that are under long-term alternating thermo-mechanical coupling conditions of icing and melting.

This invention discloses a power system frequency prediction method based on coupled state recursive constraints and deep Koopman modeling. The steps include: acquiring simulated frequency data and performing data preprocessing to obtain local fast-changing frequency deviation signals; constructing phase space trajectory vectors through time-delay embedding processing; building a deep Koopman model; using an encoder to elevate the phase space trajectory vectors to the observable space; performing linear state evolution of the frequency state vectors in the observable space using a linear Koopman operator matrix; and projecting the observable space states back to the original state space using a decoder to output predicted values ​​of the local fast-changing frequency deviation data; constructing the total loss; acquiring frequency trajectory data output by grid-following and grid-connected equipment; and training the deep Koopman model; and obtaining the frequency prediction results based on the trained deep Koopman model. This invention can replace full-order electromagnetic transient simulation for rapid analysis in large-scale scenarios, improving computational efficiency.

The present application belongs to the technical field of space-borne synthetic aperture radar, and particularly relates to a space-borne SAR scene matching curve imaging electromechanical collaborative wave control optimization method based on Bernstein polynomial. Aiming at the problem that the mechanical scanning angle and its angular velocity, angular acceleration and endpoint constraint are difficult to meet throughout the whole process, and are difficult to approach the ideal beam pointing under the constraint, the ideal beam pointing three-axis angle sequence and the mechanical scanning / electric scanning constraint are obtained, the mechanical scanning three-axis angle is parameterized by Bernstein basis function, the linear mapping of the angle and its first and second derivatives and Bernstein coefficients is established, and the above mechanical scanning constraint is uniformly converted into coefficient space linear equation / inequality constraint to form a convex feasible region, and the mechanical scanning sequence is solved by minimizing the fitting error in the 2-norm or infinite norm; then, the distance and azimuth electric scanning angle sequences are calculated according to the electromechanical geometric relationship, the control instructions generated are sent to the attitude and antenna control system, and are used for scene matching imaging beam scanning.

This disclosure discloses a method, apparatus, device, storage medium, and program product for drawing spatial lines, relating to the field of computer technology, and particularly to the field of intelligent transportation. The specific implementation scheme is as follows: based on the three-dimensional coordinates of the endpoints of the line to be drawn and the mesh partitioning information of the spherical space, the mesh encoding information of the endpoints is determined; based on the mesh encoding information of the endpoints, a spatial line including the endpoints is drawn in the spherical space. The technical solution of this disclosure improves the efficiency and quality of spatial line drawing.

The embodiment of the application provides a space line position calculation method, a movable robot and electronic equipment, which are applied to the field of information technology, can obtain at least two image frames; a first line segment corresponding to a target space line in a first frame of two target image frames is subjected to coordinate feature extraction; a first grid region matched with the first line segment is identified according to the coordinate feature of the first line segment; a second grid region in a second frame of the two target image frames corresponding to the position of the first grid region in the target image frame is identified; the coordinate features of each line segment in the second grid region are identified, and the coordinate feature of the first line segment is matched with the coordinate features of each line segment in the second grid region to obtain the coordinate feature of a second line segment matched; and the space position of the target space line is calculated according to the coordinate feature of the first line segment and the coordinate feature of the second line segment. Thus, the calculation amount of the matching process is reduced, and the matching efficiency is improved.

This application discloses a positioning information determination device, vehicle, method, and program product, relating to the field of positioning technology, for quickly, robustly, and with high precision determining positioning information. This application obtains each first line segment contained in an image and its planar line features, and obtains each second line segment contained in point cloud data and its spatial line features. Each second line segment is projected onto the image, and the second line segment equation parameters of each projected second line segment are determined. For each second line segment, based on the standard deviation between the second line segment equation parameters of the second line segment and the first line segment equation parameters of each first line segment, a first matching line segment is determined. Based on the spatial line features of the second line segment and the planar line features of the first matching line segment, first comprehensive feature information of the first matching line segment is determined. Positioning information is determined based on the first comprehensive feature information, enabling quick, robust, and high-precision positioning information determination.