21 results about "Equidistant grid" patented technology

The invention provides a slope excavation engineering quantity calculation system and method based on point cloud, and the method comprises the steps: reading the slope geological data of hydropower engineering to construct an initial three-dimensional model, and collecting the multi-stage point cloud data through a three-dimensional laser scanner; performing equidistant gridding on the point clouds of the model region according to an X / Y axis, calculating the spatial similarity and color similarity of the point clouds in grids, and dividing sub-data sets according to threshold values; fitting an excavation surface through a Delaunay triangulation network, calculating an XY plane projection area, and calculating an average Z-direction distance from a subset to the surface of the initial model; the node weight of the triangulation network is corrected by fusing rock stratum interface parameters, finally, the excavation engineering amount is dynamically output through summation of the product of the projection area of each subset and the average distance, and when the deviation of adjacent stages exceeds 10%, cross validation is conducted in combination with a profile method. According to the method, the precision and the real-time performance of slope excavation engineering quantity calculation can be improved, and automatic integration of lithologic characteristics and mechanical attributes is realized.

The invention relates to the technical field of forest stand canopy density measurement, and provides a forest stand canopy density measurement device, which comprises a main body assembly, wherein the main body assembly comprises an aluminum alloy frame, an acrylic plate and an equidistant grid; the acrylic plate is inserted into the aluminum alloy frame, and the equidistant grids are drawn on one surface of the acrylic plate; the using assembly comprises a guide groove, a toothed plate, a rotating gear, a mounting frame, a toothed block and a movable groove; the guide grooves are formed in the two ends of the bottom of the aluminum alloy frame. By arranging the using assembly and through auxiliary cooperation between a guide groove and a toothed plate, when the toothed plate slides into a movable groove through the guide groove, a mounting frame can be drawn out from the interior of the movable groove, meanwhile, a pedal is treaded downwards, and an inserting rod can be inserted into soil, so that an aluminum alloy frame is positioned and used; and a worker can be assisted to position and use the measuring device, so that the measuring device is prevented from shaking to influence measured data in the use process.

The application provides a kind of based on ClickHouse column database's massive star table data fast merging method and system, through reducing the complexity of spherical distance calculation and using equidistant grid division index establishment method, the merging process of multi-band star table data is accelerated;The application is aimed at the application scene of astronomical cross identification and star table merging and the data processing demand of CSST high performance, low delay, research uses column database to complete the storage, retrieval and identification process of massive star table data, has good use value, has wide application scene in astronomical data processing field, also provides a new idea and direction for astronomical data processing.

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 discloses a regional non-rigid grid coding method based on dimension separation, relates to the technical field of grid coding, and aims to develop research on an equidistant grid subdivision coding model oriented to a region in a city scene on the basis of the equidistant grid subdivision coding model. The regional non-rigid grid coding method based on dimension separation is provided, the cell coding method of an existing rigid tree-shaped grid is improved, and the uniqueness of administrative division identification is greatly improved. Aiming at the real situation that global administrative division data is diversified, the structure needs to be more elastic, unique identification of prefecture-level city administrative division data can be achieved through one code under a global grid unified framework, the code has spatial attributes, and range calculation and spatial relation operation can be rapidly achieved through operation of the code.

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 relates to a lidar system for detecting the surroundings, in order to transmit and / or receive light beams, comprising a waveguide array consisting of a plurality of radiating waveguides, preferably of the same type and arranged in parallel, each waveguide having a plurality of coupling points or radiating waveguide surfaces, the waveguide surface has a plurality of, in particular strip-shaped coupling structures, preferably coupling points or coupling structures for the radiation are located in an approximately equidistant grid, and the radiation direction is caused to oscillate in a first spatial direction by a change in the frequency and / or the effective refractive index of the wave in the radiation waveguide or in the radiation waveguide surface, the radiating waveguide array or the radiating waveguide surfaces are fed from the output end of the planar lens via the connecting waveguides or the connecting waveguide surfaces, and the radiating direction is rotated in a second spatial direction, preferably perpendicular to the first spatial direction, by means of a change in the frequency and / or the effective refractive index of the waves in the connecting waveguides or the connecting waveguide surfaces. The planar lens has a plurality of input ends which implement different radiation directions in a second spatial direction and which are coupled to the transmit-receive channels running in parallel, so that the radiation waveguide array or the radiation waveguide surface can be used for simultaneous detection of different radiation directions, preferably one of the two spatial directions is horizontal, and preferably one of the two spatial directions is horizontal. The other is vertical, preferably an arrangement comprising an array of radiating waveguides or radiating waveguide faces and connecting waveguides or connecting waveguide faces together with planar lenses is implemented on a photonic chip.

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.

The invention discloses a regional equidistant grid coding method based on a GeoSOT network, relates to the technical field of grid coding, defines the structural composition of a grid in detail according to a grid coding rule, and designs coding methods of a G domain, a P domain, a T domain, a polar region identifier and a height domain respectively, so as to ensure that a grid coding system can be compatible with expression requirements of different spatial regions, and improve the coding efficiency. Efficient data storage, retrieval and cross-scale application are achieved, a foundation is laid for application and optimization of a subsequent equidistant grid system, and meanwhile theoretical support is provided for cross-regional and cross-scale spatial data organization and management.

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.

The invention relates to the technical field of material forming, and discloses a pull-out temperature field reconstruction method based on neural network mapping. According to the method, a mapping relation between drawing process parameters and three-dimensional temperature field distribution data is established, and the three-dimensional temperature field distribution data is obtained through shell area equal-interval grid division and unit center point temperature value extraction; determining a reference measuring point layout scheme based on the temperature gradient distribution and extracting a temperature value of the reference measuring point layout scheme; calculating a temperature difference value between a non-measuring point area and the reference measuring point, and constructing a measuring point coordinate-temperature difference value field sample pair; processing the sample pair by using a multi-layer perceptron model, inputting the sample pair as a joint vector of a measuring point coordinate and a temperature value, and outputting the sample pair as a predicted temperature difference field; superposing the prediction difference value field and the reference measurement point temperature value to obtain a complete three-dimensional temperature field; a two-dimensional heat distribution diagram is generated through geometric mapping, the vertical coordinate is the axial length, and the horizontal coordinate is the circumferential expansion angle. According to the invention, gradient features and key temperature information in a temperature field can be accurately captured.

The invention relates to a lidar system for detecting the surroundings, in order to transmit and / or receive light beams, a waveguide array is provided, which consists of a plurality or a plurality of radiative waveguides, preferably of the same type and parallel, each waveguide having a plurality of coupling points; or a wide radiation waveguide surface is provided, the waveguide surface has a plurality of, in particular strip-shaped coupling structures, preferably coupling points or coupling structures for radiation are located in an approximately equidistant grid, and the radiation direction is caused to oscillate in a first spatial direction by a change in the frequency and / or the effective refractive index of the wave in the radiation waveguide or the radiation waveguide surface, and wherein the radiation direction is caused to oscillate in a second spatial direction by a change in the frequency and / or the effective refractive index of the wave in the radiation waveguide surface. The radiating waveguide array or the radiating waveguide surface is fed from a feed waveguide having a plurality of coupling points, and the radiating direction is swung in a second spatial direction, preferably perpendicular to the first spatial direction, by a change in the frequency and / or the effective refractive index of the wave in the feed waveguide, preferably one of the two spatial directions is horizontal and the other is vertical, preferably, the waveguide array of the radiating waveguide or the radiating waveguide surface and the feed-in waveguide are realized on the photonic chip.

The invention relates to the technical field of medical information processing and data fusion, and discloses a multi-protocol fusion dynamic data processing method and system. Protocol data are uniformly collected and arranged in an ascending order, and abnormal points are removed by using statistical characteristics, so that the data reliability is guaranteed; generating an equidistant grid according to a public time interval and a minimum sampling interval, realizing high-precision resampling of each path of data through Lagrange interpolation, and unifying dimensions based on maximum amplitude normalization; a closed optimization model which takes the minimum mean square error as a target and has endpoint constraint is adopted, a global optimal fusion solution is obtained through a Lagrange multiplier method, and the global optimal fusion solution is automatically degraded into unconstrained average when necessary, so that the stability is ensured. And the fusion result is output according to a protocol format after being subjected to inverse normalization and interpolation remapping, so that the problems of asynchronous sampling, noise interference, dimension inconsistency and dynamic consistency are solved, and the accuracy and robustness of the fusion data and the platform application efficiency are 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.

A pressure vessel that comprises an ortho-grid and an iso-grid wherein a stress subjected to the pressure vessel is propagated into the iso-grid through the ortho-grid.

The invention discloses a multi-scale local equidistant grid coding method for a non-rigid grid region, and relates to the technical field of equidistant grid coding. The multi-scale local equidistant grid coding method is used for subdivision and coding of the non-rigid grid region; grid codes under different scales are sequenced on space and scale layers at the same time through integers with set digits, and the spatial relation between coding levels and grids is embodied through integer operation; meanwhile, the grids with different scales are uniformly coded by adopting integers with specific digits, a two-dimensional coding problem is converted into a one-dimensional coding index problem, and meanwhile, the space and scale characteristics are reserved, so that the coding efficiency and adaptability are improved.