10 results about "Equidistant grid" patented technology

The invention discloses a clustering analysis method for battery data mining, which comprises the following steps of: when two-dimensional or multi-dimensional battery data is processed, gridding a battery data space, setting equidistant grid points, setting a radius sequence, and calculating the number of data points in a specified radius of each grid point; the grid points with the number of the data points larger than a threshold value are selected as effective grid points, the threshold value is set on the basis of the expected data aggregation degree, data within the specified radius of the effective grid points serve as credible data points, and therefore classified screening of the battery data is achieved; meanwhile, calculating a mean value of the credible data points and obtaining a characteristic curve of the battery; according to the method, the effective part can be quickly screened from the numerous data, and the characteristic curve of the battery can be accurately extracted.

The invention relates to the technical field of bridge crack identification, and discloses a bridge crack detection method based on deep learning, which comprises the following steps of: presetting equal-interval grid paths along a bridge pavement, acquiring an original image of the bridge pavement of each grid, carrying out filtering and enhancement processing, carrying out pixel-level crack labeling, and carrying out depth learning on the original image of the bridge pavement; generating a binary label graph and a bridge pavement image after filtering and enhancement processing; an improved U-Net model is constructed; taking the bridge pavement image as the input of an improved U-Net model, taking the binary label graph as the output, training the improved U-Net model, optimizing the trained improved U-Net model by adopting a mixed loss function, and generating a trained improved U-Net model; an original image of a to-be-detected bridge pavement is obtained, after filtering and enhancement processing, the trained improved U-Net model is input for crack detection, and a crack recognition result is obtained; according to the invention, rapid, accurate and automatic detection of bridge pavement cracks is realized, and reliable technical support is provided for infrastructure maintenance.

The invention belongs to the technical field of rock mass mechanics, and relates to a deep underground rock mass complex fracture field rapid refined inversion method comprising the following steps: collecting a rock image, carrying out binary conversion on the rock image, and calculating the fractal dimension of a binary image; marking central point coordinates of each fracture in the binary image, inputting the central point coordinates into a kernel density estimation model, generating a kernel density estimation curve, and calculating an optimal bandwidth value; calculating the kernel density value of the central point of each fracture by using the optimal bandwidth value, dispersing the to-be-researched region into equidistant grids, endowing each grid with a vertex weight according to the kernel density value, sampling data points in the to-be-researched region, and taking the data points as the central points of the fractures; and calculating the physical characteristics of the fractures, combining the fractal dimension, obtaining the number of inversion fractures, sampling the distribution rule of the physical characteristics, obtaining a statistical probability value, and distributing the physical characteristics to the central point of each inversion fracture according to the statistical probability value and the number of the inversion fractures for the inversion of the fracture field.

The invention relates to the technical field of earthquake monitoring and early warning, in particular to an active fault earthquake risk dynamic assessment early warning method and system, and the method comprises the steps: constructing and optimizing an active fault earthquake detection system according to the historical information of an active fault monitoring region; establishing a three-dimensional equidistant grid model of the active fault, and screening information acquisition points in the active fault seismic detection system according to the acquisition point error analysis model to determine a target monitoring point of the system; performing information monitoring on the active fault through the detection system and the target monitoring point to obtain active fault earthquake monitoring data; and predicting the relative displacement condition of the active fault based on the monitoring data and the three-dimensional equidistant grid model, and realizing the evaluation and early warning of the active fault earthquake by combining the relative displacement condition and the active fault earthquake monitoring data. The active fault can be monitored in real time, the motion condition of the active fault can be analyzed, evaluation and early warning of active fault earthquakes are achieved, and the occurrence possibility and the influence range of the earthquakes are accurately predicted.

This invention discloses a spatial grid generation method based on geometric constraints, specifically including: acquiring spatial range data of the target area and performing latitude and longitude analysis to generate a reference grid set; constructing a Cartesian coordinate system and converting latitude and longitude into a spatial coordinate set; performing recursive quadrilateral partitioning based on preset side lengths to generate a multi-level equidistant grid cell set; establishing a hierarchical mapping using GeoSOT level 15 grids to form a fused grid structure; establishing an encoding structure to generate a grid encoding sequence; establishing geographic entity mapping relationships to generate a grid set; and performing distance calculation, area calculation, and intersection / merge operations based on the grid set to generate topological relationship results. This invention achieves equidistant partitioning and fused encoding calculation of spatial grids, significantly reducing the complexity of spatial distance and area calculations while improving computational accuracy and processing stability.

The present application provides a kind of multi-sensor fusion positioning uncertainty expression method, device and electronic equipment, the method includes: based on the measurement result of the multiple sensors corresponding to target object, the probability density function of the pose of target object itself is constructed, the probability density function is converted into the weighted particle set expression of Monte Carlo positioning;The position distribution of different weighted particles is determined based on the weighted particle set expression, a selection box is determined to cover the weighted particles of the preset proportion based on the selection box, and the selection box is divided into multiple equidistant grids;Based on the position information of each weighted particle, the weighted particle is put into the multiple equidistant grids;The weight sum of all weighted particles in each equidistant grid is counted, and based on the weight sum, the probability that the target object is in the corresponding equidistant grid is determined.The present application can solve the technical problem that it is difficult to obtain the positioning uncertainty of multi-sensor fusion in the prior art in dynamic scene.

The invention provides a map data processing method and device, equipment, a storage medium and a program product, and particularly relates to the technical field of map processing. The method comprises the steps of dividing map data after operation according to map element types, a preset updating period and an equal-interval grid size to obtain a plurality of mapsheet data; a multi-dimensional label is distributed to each piece of mapsheet data, the multi-dimensional label at least comprises a version label, a data precision label and a service attribute label, the version label is used for identifying the version time of the mapsheet data, the data precision label is used for identifying the data precision grade of the mapsheet data, and the service attribute label is used for identifying the service application scene of the mapsheet data; and writing the mapsheet data and the multi-dimensional label into the corresponding distributable file to form a mapsheet finished product file which can be requested by the user. The method is used for achieving the effects of improving the updating efficiency and freshness of the electronic map data and meeting the requirement of a high-real-time scene.

The invention relates to a three-dimensional volume data generation method and system based on angular deformation and secondary peak constraint. The three-dimensional volume data generation method comprises the following steps: constructing a three-dimensional equidistant grid and calculating a radial distance and a spherical coordinate angle of grid points; designing a controllable random coefficient, acquiring an angular deformation factor based on a Legendre polynomial, and acquiring a coordinate point of the original coordinate point after angular deformation by combining the original radius; constructing a main peak point, designing a secondary peak point center constraint to generate a secondary peak point, calculating intensity contribution and accumulating the intensity contribution to a total intensity field; carrying out NaN value replacement and total intensity field normalization; carrying out volume data storage and metadata file output; shared variables are pre-calculated through outer-layer control circulation, inner-layer samples generate circulation sampling, variable parameters are updated, and the volume data generation efficiency is improved; the system supports a parallel generation mode and GPU acceleration. According to the method, the problems that in traditional volume data synthesis, secondary peak merging and angular asymmetric expression are limited, and controllability and reproducibility are poor are solved.

The invention discloses a near-field acoustical holography optimization method based on a compressed sensing equivalent source. The near-field acoustical holography optimization method comprises the following steps of 1) performing equivalent processing on a space sound field; step 2), selecting the position and size of a holographic measurement surface in a potential sound source near field, performing equidistant grid division on the holographic surface, and determining a sampling strategy; 3) selecting a certain number of measurement points on the holographic measurement surface in a random manner, constructing a near-field acoustic holographic model based on the compressed sensing equivalent source, and solving an initial sparse solution of the source intensity of the equivalent source by using L1 regularization according to the sound pressure at the measurement points randomly selected in the holographic surface; according to the method, the sparsity of an equivalent source intensity solution can be further improved, the influence of a pseudo source is effectively restrained, the convergence speed of iterative calculation can be increased, and the calculation efficiency is improved.

This application relates to the field of unmanned surface vessel (USV) technology and provides an autonomous cruising method for USVs. The method includes: dividing a preset water area into a grid matrix and acquiring environmental data within the preset water area, the environmental data including water area data and obstacle data; setting the attribute information of the grid corresponding to the water area data as water area grids, setting the attribute information of the grid corresponding to the obstacle data as obstacle grids, and setting the attribute information of the water area grids adjacent to the obstacle grids as equidistant grids; traversing all grids within the preset water area and generating a grid trajectory unit set using the equidistant grids; acquiring a situation matrix centered on the USV's location at each moment, generating a cruising trajectory based on the situation matrix, and cruising according to the cruising trajectory. This scheme utilizes a grid trajectory unit set to achieve obstacle avoidance for various obstacles, thereby contributing to the autonomous cruising of the USV.