11 results about "Potential field" patented technology

The invention relates to the technical field of cable detection, in particular to a method and system for detecting the thickness of an insulating layer of a cross-linked insulated cable. The method comprises the following steps: acquiring a cable cross section image, performing region segmentation to identify three topological connected domains, and extracting inner and outer boundaries; establishing a physical field model and applying a first type of boundary conditions; solving a Laplacian equation in the insulating layer region to generate a convergent scalar potential field; performing differential operation on the scalar potential field to obtain a gradient vector field, and searching gradient modulus length extreme points on the virtual equipotential line to mark thinnest and thickest feature points; and taking the thinnest feature point and the thickest feature point as starting points, respectively executing streamline tracking along positive and negative gradient directions, and calculating the sum of path lengths so as to respectively obtain the minimum thickness of the insulating layer and the maximum thickness of the insulating layer. Noise is eliminated by solving the Laplacian equation, rapid positioning is performed by using the gradient modulus length extreme value, and the detection precision is remarkably improved.

The invention belongs to the field of gravity exploration, and particularly relates to a method for acquiring gravity anomaly blank area data based on potential field characteristics, which comprises the following steps: acquiring gravity and topographic data of an exploration area and a neighborhood, and generating standard grid data and identifying a blank area through preprocessing and gridding; multiple interpolation algorithms are combined for parallel calculation, cross validation quantitative evaluation is carried out, and an optimal model is selected to obtain a reliable Bouguer gravity abnormal value of the blank area; mathematical analysis and filtering smoothing processing are carried out on the interpolation result, noise is eliminated, and a Bouguer gravity abnormal value conforming to the physical continuity and smoothness of the gravity field is obtained; and superposing the processed Bouguer gravity anomaly with a terrain gravity effect to obtain a complete space gravity anomaly field. Through systematic processing of existing Bouguer gravity anomaly and topographic data, filling and balancing of gravity anomaly values in areas with complex terrains and sparse data are successfully realized by using technical means of interpolation, analysis, smoothing, reduction and the like.

According to the method, a surface gravity wave and inner interface wave velocity potential field is analyzed into a product form of a vertical characteristic item and a horizontal diffraction field, and dimensionality reduction solution of a three-dimensional wave problem is realized; a vertical characteristic function orthogonal system meeting free liquid level, seabed boundary and interface coupling conditions is constructed, horizontal diffraction potential is decomposed into an incident field, a local column and an adjacent column scattering effect, and a Bessel function addition theorem is applied to construct a closed linear equation set of a multi-column interference field; establishing an extended dispersion equation containing density spring layer parameters, and revealing a modulation rule of layered strength on complex wave propagation characteristics; and finally, through tensor product coupling of a vertical mode and a horizontal diffraction field, constructing a full-three-dimensional diffraction velocity potential analytical solution, synthesizing a cross-layer pressure field integral by adopting a domain decomposition technology, and establishing a multi-column array generalized wave excitation force forecasting model. According to the method, efficient analytical calculation of the wave load of the multi-column system in the layered fluid is innovatively achieved.

The invention provides a path planning method and device for an intelligent machine, electronic equipment and a storage medium, and the method comprises the steps: initializing the current position of the intelligent machine, a final target point and the position information of an obstacle in an environment, and building a rectangular plane coordinate system for path calculation; generating an initial path from the current position to the final target point by adopting a global path planning algorithm, and dividing the initial path into a plurality of sub-path sections; constructing a virtual potential field model containing a gravitational potential field and a repulsive potential field; in the autonomous navigation process of the intelligent machine, the obstacle state in the environment where the intelligent machine is located is dynamically sensed, the comprehensive guiding amount acting on the intelligent machine is calculated in real time based on the virtual potential field model, a motion control instruction is generated according to the comprehensive guiding amount, and the intelligent machine is driven to deviate from the original path to avoid the obstacle. And a target track is generated until the intelligent machine reaches the final target point. The problem that the target is not reachable is solved, it is ensured that the target point can stably reach, and the quality and reliability of path planning are remarkably improved.

The application discloses a kind of based on random projection's physical property parameter inversion method of potential field data, comprising the following steps: S1: measured potential field data is obtained, according to survey area and depth range is profiled in underground space, sensitivity matrix in inversion is calculated based on potential field data forward theory, and then the forward calculation relationship of full space is established;S2: random projection matrix is designed, and sensitivity matrix is projected to multiple low-dimensional subspace, and the subspace forward calculation relationship is established;S3: based on the regularization equation of subspace forward calculation relationship, and the physical property parameter in subspace is solved using conjugate gradient algorithm;S4: the final physical property parameter inversion result is obtained by the weighted average calculation of multiple physical property parameters in subspace.The physical property parameter inversion method of potential field data based on random projection has higher depth resolution and inversion reliability, and improves the practicability of physical property inversion method in actual data processing.

This invention relates to a prediction-based robotic arm path planning method, apparatus, electronic device, and medium. The method involves real-time acquisition of hand position data and storage in a raw dataset, which also includes the current position data of the robotic arm, target position data, and actual obstacle position data. Based on the raw dataset, an Informer model is trained to obtain model weights and output predicted hand position data. The predicted hand position is used as a virtual obstacle, and a predicted repulsive potential field is obtained based on the predicted hand position data. Based on the predicted repulsive potential field, the repulsive potential field of the actual obstacle, and the gravitational potential field of the target position, the current resultant force is calculated to optimize the robotic arm's trajectory, control the robotic arm's movement, and perform sorting. The target position is the endpoint of the robotic arm's movement. Compared with existing technologies, this invention has advantages such as higher prediction accuracy, faster calculation speed, and higher human-machine collaboration efficiency.

The present disclosure provides a three-dimensional speed obstacle avoidance method and device for a UAV. The method comprises constructing an inertial coordinate system, a body coordinate system, a spherical protection region and a tangent point circular region according to position information of the UAV and position and speed information of an obstacle; generating a potential field model according to a center of a preset repulsive potential field and the spherical protection region, and generating a radial speed based on the potential field model in a case where a modulus of a position vector of the position information of the obstacle meets a preset condition; obtaining a point set according to a vertex coordinate of a preset collision cone and a first rotation matrix; determining a second rotation matrix according to position information of a target point and a rotation angle, and processing the vertex coordinate, the tangent point circular region and the point set to obtain a boundary point set; determining a speed amount of the UAV towards the target point according to the boundary point set and a discretized first parameter variable; and generating a target speed component of the UAV flying towards the target point while avoiding the obstacle according to a third rotation matrix, the speed amount and the radial speed.

The invention belongs to the technical field of geophysical exploration, and provides a boundary identification and fracture feature determination method, device, equipment and medium, and the method comprises the steps: obtaining the analysis signal vertical guide number of a gravity and magnetic anomalous body; a tilt angle technology and a Laplacian equation are used for analyzing a vertical guide number of the analytic signal, and a boundary position is determined by calculating a difference perpendicular to a signal gradient direction; identifying the position and shape features of the gravity and magnetic anomalous body boundary to obtain fracture features; calculating analytic signals and curvatures of a gravity and magnetic anomaly field and an upward extension field of the gravity and magnetic anomaly body, and quantitatively extracting the top surface depth and the structure index of the boundary of the gravity and magnetic anomaly body to obtain the property of the fracture feature; according to the method, the Laplacian equation is introduced to deeply analyze the vertical guide number of the analysis signal, and only the first-order vertical guide number of the potential field needs to be calculated, so that the influence of high-frequency noise is reduced to a certain extent, and a basis is provided for subsequently determining the boundary position of the gravity and magnetic anomalous body.

The application relates to the technical field of cable detection, in particular to a method and system for detecting the thickness of the insulation layer of a cross-linked insulation cable. The method comprises the following steps: obtaining a cable cross-section image and performing region segmentation to identify three topologically connected domains and extract inner and outer boundaries; establishing a physical field model and applying a first type of boundary condition; solving a Laplace equation in the insulation layer region to generate a convergent scalar potential field; performing differential operation on the scalar potential field to obtain a gradient vector field, searching for gradient modulus extreme points on virtual equipotential lines to mark the thinnest and thickest feature points; taking the thinnest feature point and the thickest feature point as starting points, respectively performing streamline tracing along positive and negative gradient directions, and calculating the sum of path lengths to obtain the minimum thickness of the insulation layer and the maximum thickness of the insulation layer respectively. The application eliminates noise by solving the Laplace equation, quickly locates by using the gradient modulus extreme value, and significantly improves the detection accuracy.

The invention belongs to the technical field of artificial intelligence and computer vision, and particularly discloses a track refining method based on a learnable potential energy field and physical dynamics, and the method comprises the steps: obtaining observation features and a rough track; on the basis of a physical LNN refining module, a PhysicsLNNCell simulating physical dynamics is used for refining the rough trajectory; and finally refining the track. According to the method, physical PhysicsLNNCell inspired by physical dynamics (Euler-Lagrange equation) is adopted to replace a standard RNN or a black box LNN, and a trajectory refining process is simulated in an interpretable manner; a refinement process is modeled as a physical system jointly driven by an internal correction force (from a learnable potential energy field) and an external traction force (from a rough trajectory), and model interpretability is provided while high precision is achieved.