9 results about "Coordinate vector" patented technology

The invention discloses a universal grid coding method based on multidimensional dimensions, and relates to the technical field of dimension coding. The method comprises the following steps: establishing a dimension scale grid, and discretizing a dimension to be coded through the dimension scale grid to obtain a dimension level width; based on the dimension hierarchy width, calculating to obtain a dimension coordinate vector and a hierarchy maximum bit width; based on the hierarchical maximum bit width, performing binary conversion and zero padding operation on the dimensional coordinate vector to obtain a dimensional binary hierarchical sequence; the method comprises the following steps of: calculating Shannon entropy of a dimension to be coded to obtain a dimension priority weight, and performing dislocation coding on a dimension binary hierarchical sequence by adopting a Hilbert coding method based on recursive structure judgment based on the dimension priority weight to obtain a dimension sequence code; and performing secure confusion and enhanced optimization on the dimension sequence code by adopting a gray code transformation method based on chaotic mapping to obtain a dimension optimization code, thereby realizing grid coding of the dimension to be coded.

This invention discloses a method for constructing a digital twin for a water electrolysis hydrogen production system, relating to the field of digital twin technology. The method includes: collecting multi-source operational data from the water electrolysis hydrogen production system, extracting all sampling points, constructing proximity relationships between all sampling points to form a proximity connection graph; traversing the proximity connection graph, organizing the shortest path distances between all pairs of sampling points to form a high-dimensional spatial distance matrix, using multi-dimensional scaling transformation to map the sampling points to a low-dimensional space, establishing a correspondence between the low-dimensional coordinate vectors and the high-dimensional original data, forming a digital twin state representation model; based on the state representation model, constructing a probabilistic graphical model containing three types of nodes: components, sensors, and state variables; setting initial node confidence and information transmission rules, iterating until the confidence stabilizes; performing corrections based on node state deviations; and iterating in real-time according to the correction cycle to achieve real-time synchronization between the digital twin and the water electrolysis hydrogen production system.

The invention is suitable for the technical field of slip surface inversion, and provides a slip surface geometric inversion method coupling InSAR deformation data and numerical simulation, and the method comprises the steps: obtaining SAR image data, DEM data and drilling data of a landslide region; constructing a two-dimensional geologic model of the landslide area in three-dimensional simulation software based on the DEM data and the drilling data; optimizing the z coordinate vector by using a particle swarm optimization algorithm to obtain an optimal z coordinate vector which has a minimum fitness function and meets a preset spatial constraint; and constructing a sliding surface curve based on the optimal z coordinate vector. According to the invention, the efficiency and objectivity of sliding surface inversion can be improved.

This invention relates to a method and system for calculating the angle and grid coordinates of a large-size chip array. The method includes: obtaining the connection relationship between adjacent lines based on the pixel coordinates of each chip, and performing main direction identification and cyclic angle calculation using a histogram to obtain the cyclic angle and average distance of the chip array; constructing two coordinate vectors of the chip array based on the cyclic angle and average distance, and obtaining the array angle of the chip array based on the proximity of the coordinate vectors to 90 degrees; constructing preliminary grid coordinates for each chip based on the coordinate direction vectors, and performing block processing on the chip array; converting the local grid coordinates of all chips into chip array grid coordinates based on the local grid coordinates of the chips within the chip block, combined with the coordinate offset relationship between the chip block and the reference block. This invention can stably and noise-resistantly calculate the chip array angle, and effectively avoids coordinate drift of large-size wafers through block processing, achieving accurate chip grid coordinate positioning.

This invention discloses a method for analyzing the tension characteristics of a wave-shaped riser, comprising: determining the structural parameters of the wave-shaped riser system and the marine environmental parameters; constructing a three-dimensional model of the wave-shaped riser system, discretizing the riser into multiple reduced beam elements using the absolute nodal coordinate method, obtaining the nodal coordinate vectors of the reduced beam elements, and deriving the mass matrix of the reduced beam elements; calculating the element strain energy corresponding to axial strain and bending strain, and obtaining the generalized elastic force of the elements; calculating the distributed load and concentrated force acting on the riser, and converting them into generalized external forces of the system, obtaining the generalized external force vector of the system; assembling the mass matrix, generalized external force vector, and nodal coordinate vector of each element to form the overall system dynamic equation; solving the system dynamic equation to obtain the absolute nodal coordinate vector of the riser at different times, and then calculating the tension along the entire length of the riser. This invention can accurately predict the tension distribution of the riser in complex marine environments.

The invention discloses a window state recognition method based on corner prompt and image feature interaction, and relates to the technical field of demand analysis, and the method comprises the steps: inputting a whole frame of RGB image into a main coding network, carrying out the feature coding of the input image, and outputting a global shared feature map Fglobal; performing angular point prompting and position coding processing, performing normalization processing on the angular point coordinates to form an angular point coordinate vector, and inputting the angular point coordinate vector into a position coding network; according to the invention, a multi-layer perceptron and a corner space representation feature generated by sine and cosine position coding are combined, and deep interaction of a global feature and a corner prompt feature is realized through a lightweight feature transformation module and a trans-attention fusion module, so that the system can complete efficient feature enhancement and discriminant modeling under the condition of low calculation amount; the reasoning capability and the deployment efficiency of the model are remarkably improved, and the method is suitable for embedded terminals and intelligent monitoring scenes.

This application provides a joint calibration method, joint calibration device, and joint calibration system. The method includes: acquiring multiple first coordinate vectors and multiple second coordinate vectors when the robot's motion trajectory is a straight line; acquiring the coordinates of each trajectory point of the camera trajectory and the coordinates of each trajectory point of the first radar trajectory when the robot's motion trajectory is a circular arc; fitting the first coordinate vectors and second coordinate vectors using a least squares algorithm to obtain a target rotation matrix; transforming the coordinates of each trajectory point of the first radar trajectory to the camera coordinate system based on the target rotation matrix to obtain the coordinates of multiple transformed trajectory points, which form the second radar trajectory; and calculating the vector between the center of the circle corresponding to the camera trajectory and the center of the circle corresponding to the second radar trajectory to obtain the target translation vector. This method solves the problem in the prior art where the camera and radar often do not share a common field of view, causing the target-based calibration method to fail.

This application provides a method for structural deformation and load analysis, wherein the load includes resultant force and resultant moment of cross sections. The method includes: performing modal analysis on a finite element model constructed based on a target structure to extract strain modes, displacement modes, nodal force modes, and nodal moment modes; determining the structural deformation of the target structure based on the displacement modes and modal coordinate vectors by superimposing multiple displacement modes; determining the resultant force of the target structure based on the resultant force modes and modal coordinate vectors, wherein the resultant force modes are obtained by summing the nodal force modes corresponding to all nodes on the target cross section; and determining the resultant moment of the target structure based on the resultant moment modes and modal coordinate vectors, wherein the resultant moment modes are obtained based on the moment reference points, nodal coordinates, cross section normal vector directions, nodal moment modes, and nodal force modes corresponding to all nodes on the target cross section.

This invention relates to a method and system for assisting in the identification of knee alignment anomalies considering anatomical constraints. The method includes: acquiring the original aspect ratio of a raw medical image; adaptively filling the raw medical image based on a comparison between the original aspect ratio and a target aspect ratio; using the filled image as input to a depth coordinate regression model to obtain normalized coordinate vectors of key feature points based on global anatomical constraints; converting the normalized coordinate vectors into physical coordinates in the original coordinate system; calculating the angle between the femoral mechanical axis vector and the tibial mechanical axis vector, and calculating the vertical distance from the center point of the knee joint to the total mechanical axis of the lower limb; and generating knee alignment anomaly identification prompts. Compared with existing technologies, this invention has advantages such as accurate geometric measurements, strong robustness, high clinical deployment efficiency, and reliable identification results.