190 results about "Grid based" patented technology

The application discloses a multi-point focusing fitting microscopic imaging plane leveling method, system and device, which is used for high-precision automatic leveling of an imaging plane. The method comprises the following steps: establishing a two-dimensional sampling grid based on a measured plane, and determining grid node coordinates; establishing a space coordinate system, and calling calibration data to obtain a calibration image plane; continuously collecting an image sequence covering the two-dimensional sampling grid; dividing the image sequence according to the grid node coordinates to obtain a grid image sequence; calculating the definition of the grid image sequence by using a no-reference definition evaluation method to obtain a definition sequence; establishing an index relationship between the grid node coordinates and the maximum definition in the corresponding definition sequence to obtain a definition point set; performing plane fitting based on the definition point set to obtain a global focal plane model; calculating parallel parameters of the global focal plane relative to the calibration image plane according to the global focal plane model; and adjusting the posture of a placement platform of the measured plane through the parallel parameters.

This invention discloses a short-term intelligent numerical weather prediction method and system based on environmental perception, belonging to the field of meteorological management technology. The system includes a data acquisition and fusion module, an intelligent zoning and feature mining module, a short-term forecasting and risk assessment module, and a visualization and focusing module. The data acquisition and fusion module collects and fuses environmental data from meteorological radar and weather stations, as well as GIS maps. The intelligent zoning and feature mining module divides the data into grids based on the GIS map, analyzes the rainfall synergy between grids based on historical environmental data to construct analysis groups, and selects and constructs an impact set for each analysis group. The short-term forecasting and risk assessment module fits near-term precipitation intensity relationships and short-term precipitation intensity relationships based on the impact sets of each analysis group. The visualization and focusing module calculates and outputs the near-term and short-term predicted precipitation intensities for each analysis group based on the relationships, identifies key areas of concern using topographic and hydrological models, and enhances visualization.

The application provides a multi-probe array obstacle positioning method and device. The method comprises: in the case that multiple ultrasonic probes enter a transmitting mode of transmitting ultrasonic waves in turn and the multiple ultrasonic probes all enter a receiving mode of receiving ultrasonic waves, generating multi-dimensional time data corresponding to each transceiver pair; the transceiver pair comprises a pair of ultrasonic probes in the transmitting mode and an ultrasonic probe in the receiving mode; performing grid processing on the front area of the ultrasonic probe to obtain multiple grid points; determining a voting value corresponding to each grid point based on the multi-dimensional time data by using a spatial voting algorithm; and in the case that the voting value corresponding to the grid point is greater than a first threshold, determining positioning information of an obstacle based on the grid point. In this way, in a multi-obstacle scene, the positioning information of the obstacle can be confirmed by the voting values of the multiple grid points corresponding to the multiple grids in the front area of the ultrasonic probe, so that the purpose of accurate positioning and judgment in a multi-obstacle scene can be achieved.

The application provides a soil erosion risk early warning method and device based on dust data, which comprises the following steps: performing grid processing and screening on a region to be analyzed to obtain an effective grid region; obtaining NDVI data and soil moisture data of the effective grid region; determining a slope length factor and a slope factor of each effective grid region; determining net dust data in the region to be analyzed by eliminating the influence of wind direction; determining a dust emission value of each effective grid region based on the NDVI data, the soil moisture data and the net dust data; calculating the NDVI data, the soil moisture data, the slope length factor, the slope factor and the dust emission value by using a neural network algorithm to determine a soil erosion intensity prediction value; combining the soil erosion intensity prediction value to determine a soil erosion value of each effective grid region; determining a soil erosion risk grid based on the current soil erosion value and historical soil erosion data, and performing risk early warning on the soil erosion risk grid.

This invention provides a real-time path generation method and system for robot corner turns, which ensures safety from objects approaching from the opposite side of a corner by generating a path that makes a large turn around a corner while taking real-time obstacle information into consideration. [Solution] A method for generating a real-time path for a robot to turn corners involves generating a cost map of the robot's surroundings based on a grid map and information on obstacles detected by the sensor unit, generating the shortest possible avoidance path from the robot's current position to the destination while avoiding obstacles, detecting an obstruction area at the robot's current position which is an area not detected by the sensor unit to detect the corner entry point, generating a turning area securing path based on the shortest avoidance path, determining weight values ​​for the shortest avoidance path and the turning area securing path, generating an interpolated path based on the shortest avoidance path, the turning area securing path, and the weight values, and generating the final path based on the shortest avoidance path and the interpolated path.

This invention discloses a charging station information processing method, display method, device, system, and storage medium. The method includes: acquiring an initial map containing charging station information; generating a polygonal grid for the initial map, wherein each polygonal grid contains charging station information for at least one charging station; filtering the charging station information in the polygonal grid based on the correlation between preset point positions and the positions of charging stations in the polygonal grid to generate display data for each polygonal grid; and sending the display data to a vehicle-mounted system for generating a charging station display layer when the vehicle-mounted system displays the map. The technical solution of this invention minimizes data loading and reduces the performance consumption of the vehicle-mounted system while ensuring a good user experience.

This invention discloses a method for predicting electromagnetic radiation from cables. First, a one-dimensional conductor model of the target cable is established in a three-dimensional simulation space, and its axial direction is divided into multiple segments. Current data for each segment is solved using the finite-difference time-domain method. Then, the three-dimensional simulation space is discretized using a Yee grid, and virtual observation points corresponding to actual observation points are determined. Standard electric field and standard magnetic field update equations are established on the Yee grid based on Maxwell's equations. A field-circuit co-simulation process is established, and in each time step iteration, the current data is equivalently coupled to the standard electric field and standard magnetic field update equations to achieve synchronous updates of transmission line current and spatial electromagnetic field. Finally, this process is executed until a preset termination condition is met, and the time-domain electromagnetic field response at the virtual observation points is extracted as the time-domain electromagnetic radiation prediction result. The advantages are high prediction accuracy and high prediction efficiency.

The application provides a soil erosion prediction method, and belongs to the technical field of soil erosion. The method comprises the following steps: obtaining a target data set corresponding to each grid, obtaining a rainfall erosion force factor, a soil erosion factor, a slope length and slope gradient factor, a vegetation coverage factor and a water and soil conservation factor of each grid based on the target data set; calculating the soil erosion amount of each grid by using a RUSLE model based on the above factors; correcting the soil erosion amount of each grid in two adjacent grids based on the geological features and environmental features between the two adjacent grids to obtain the corrected soil erosion amount of each grid; obtaining the predicted soil erosion amount of each grid based on the corrected soil erosion amount of each grid and the soil erosion amount in each period in history; and obtaining the predicted soil erosion amount of a target region based on the predicted soil erosion amount of each grid. The application can improve the prediction accuracy of the soil erosion amount in the target region.

This invention discloses a method, apparatus, device, and medium for detecting fine cracks on the surface of a catalyst support. The method includes: acquiring an image of the surface of a catalyst support; the image of the surface of the catalyst support includes multiple test grids; performing region detection on each test grid within the image of the surface of the catalyst support according to a preset target detection area to obtain at least one target test grid corresponding to the image of the surface of the catalyst support; determining the grid wall region corresponding to each target test grid based on the coordinates of the center pixel of each target test grid and the target detection area; determining the pixel evaluation value corresponding to each grid pixel in the corresponding grid wall region based on the grayscale value of each grid pixel in each grid wall region; and detecting fine cracks in the target test grid corresponding to the corresponding grid wall region based on the pixel evaluation value corresponding to each grid pixel in each grid wall region. This invention enables the detection of fine cracks on the surface of a catalyst support.

This invention provides a method and system for rapid on-board extraction of overlapping regions based on nested grids. The method includes obtaining the boundary conditions of a base map based on a base map, and acquiring the intersection points of the base map and the probe orbit; determining the nadir point trajectory based on the acquired satellite probe orbit range; calculating the intersection points of the nadir point trajectory and the base map; comparing the two intersection points to obtain the periodic number of the extracted overlapping region; based on the base map boundary conditions, determining whether each satellite probe point is located within the extracted overlapping region within the periodic number range; if so, selecting the base map pixel position of the corresponding satellite probe point in an equal latitude and longitude grid according to the proximity principle. This invention achieves rapid extraction of overlapping regions in nested networks based on equal-viewpoint grids and equal latitude and longitude grids, filling the technical gap of existing methods that use the distance between two points for point-by-point matching within the probe range, which cannot improve matching accuracy and suffers from computational redundancy and low on-board data processing efficiency.

This invention relates to the field of ecological environment assessment and spatial simulation technology, and discloses a method for grassland degradation ecological risk assessment based on a multi-agent model. The method includes a spatial risk assessment module that acquires multi-source basic data and divides it into discrete grid cells, calculating a landscape ecological risk index to generate spatial distribution results; a driving mechanism identification module that extracts driving factors to construct an improved regression tree model and outputs nonlinear response rules; and a multi-agent dynamic simulation module that constructs grassland environmental entities based on grid cells, injects risk indices and response rules, generates herder behavior entities, and inputs management policy parameters. Iterative calculations are performed using these two types of entities to simulate the dynamic process of herder relocation and resource consumption. After the iteration reaches the target year, the grid landscape attributes are reclassified according to the remaining grass cover, and the data is re-input into the assessment module for aggregation calculations, outputting a spatial distribution map to complete the evolution assessment. This invention can intuitively test the intervention effect of management policies on grassland degradation.

The application provides a kind of model segmentation method and equipment based on grid object, including: model processing and reconstruction, patch identification and surface classification, region generation and processing and output formatting, through efficient patch identification and classification algorithm, can accurately identify the surface information of complex workpiece, provide high-quality input data for subsequent industrial quality inspection.This identification method optimizes the generation of shooting points, makes the quality inspection process more efficient, improves the accuracy of workpiece detection.The grid object of the application greatly reduces the data volume through reasonable patch segmentation and simplification processing, improves the processing efficiency and computing performance.The grid object supports multiple common formats and is suitable for various industrial quality inspection systems, with stronger compatibility and expansion capability.

This invention discloses a reservoir numerical simulation model optimization method based on gas injection PVT experimental data, belonging to the field of oil and gas exploration and development technology. The method includes: collecting multi-source gas injection PVT experimental data to construct a full-pressure domain experimental dataset; establishing an initial reservoir numerical simulation model and embedding a state equation and multiphase flow module; constructing an objective function including bubble point, volume, density, and interfacial tension errors; using an improved non-dominated sorting genetic algorithm to jointly invert the state equation parameters, binary interaction coefficients, component partition boundaries, and relative permeability endpoints; introducing a dynamic feedback correction mechanism to adaptively recorrect local parameters based on grid scale deviation; and finally outputting a high-fidelity model for predicting gas injection development schemes. This invention achieves dual assurance of thermodynamic consistency and flow realism, significantly improving the model's generalization ability, prediction stability, and accuracy in reconstructing microscopic displacement mechanisms.

The application discloses a scene state determination method and system, electronic equipment and a storage medium, and belongs to the technical field of computer simulation. The scene state determination method comprises the following steps: acquiring scene parameters of a scene to be simulated, generating a corresponding particle grid based on the scene parameters; determining initial particle information of the particle grid, generating a feature map of the initial particle information by using a convolution auto-encoder model; inputting the feature map of the initial particle information into a fully convolutional neural network model to obtain current particle information; and determining a scene state of the scene to be simulated at a current time according to the current particle information. The application can reduce the calculation amount of the particle information generation process and improve the calculation efficiency of the electronic equipment.

This invention discloses an intelligent optimization method and system for the back drilling process of PCB boards, belonging to the field of circuit board processing technology. The invention acquires point cloud data by scanning the pad board, constructs a surface height field function using thin-plate spline interpolation, and judges the flatness of the pad board based on the grid node height values. If it is unqualified, it is replaced. A predicted thickness distribution model of the PCB board is obtained by superimposing a board surface thickness variation function fitted based on historical production data and a continuous residual distribution function generated by Kriging interpolation. This model obtains the predicted thickness at the back-drilled through-hole, thus obtaining the height coordinates of the PCB board top surface. The difference between the initial vertical height of the drill bit and the height coordinates of the PCB board top surface at the required back-drilled through-hole is used as the drill bit's downward distance when back-drilling the required through-hole. This invention effectively realizes the automatic quantitative detection of the pad board flatness, improves detection accuracy, accurately analyzes the board thickness at the back-drilling location, effectively obtains the drill bit's downward distance, and improves the quality of back drilling.

The present application relates to a kind of cluster collaborative control method based on continuous mean shift theory, belong to involve multi-agent distributed collaborative control field, including three parts: desired configuration figure input and contour fitting, target shape physical parameter determination, distributed configuration control algorithm design based on continuous mean shift theory.The present application adopts Bezier curve to express desired shape, has strong representation ability to complex non-convex shape, target shape data storage is less, reduces memory requirement, and continuous control law can avoid the oscillation possibly caused by grid-based discrete control law.The present application uses distributed computing mode, and multi-agent system can enter desired shape area according to local perception information and actively explore unknown shape area, effectively reduce the requirement to agent communication ability, increase engineering feasibility, have strong robustness and scale expandability.The present application has strong adaptive capacity, and does not need global label and initial position configuration.

The application provides a kind of polymeric regulation and control method for port micro-grid carbon emission reduction accounting and related equipment, target port micro-grid is analyzed, and the mathematical model of each flexible electrical resource is constructed;Determine the logistics operation process arrangement of target port micro-grid based on the mathematical model of each flexible electrical resource, establish the logistics whole-process scheduling model according to the logistics operation process arrangement;According to the logistics whole-process scheduling model, photovoltaic power generation law and energy storage configuration, minimize the target port micro-grid power operation cost and total carbon emission as the goal, construct optimization function and constraint condition, solve the optimization function based on constraint condition, obtain the flexible electrical resource aggregation control result for accounting the total carbon emission of target port micro-grid;Solve the problem that traditional port micro-grid freight flow is difficult to coordinate and dispatch with electrical resource, promote the reasonable allocation of port power resource, while reducing the carbon emission of port micro-grid.

This invention relates to the field of power grid coordinated control technology, and particularly to a method, system, and medium for assessing the load potential of electric vehicles through a coordinated approach between the main grid, distribution network, and microgrid. The method includes: acquiring power grid topology information, charging behavior data, user travel data, and power grid operation data; forming grid cells from the distribution network; constructing a coordinated architecture of the main grid layer, distribution network layer, and microgrid layer based on the grid cells; generating user behavior profiles based on the charging behavior data and user travel data; predicting the charging load of each grid cell based on the user behavior profiles and power grid operation data; aggregating the adjustable power of the electric vehicle group, constructing a generalized energy storage equivalent model, and determining the regulation potential boundary; generating a guidance strategy and outputting charging load adjustment instructions, and continuously correcting the electric vehicle charging load and regulation potential boundary. This invention effectively solves the problems of inaccurate electric vehicle load prediction and distorted regulation potential assessment, which make it difficult to support refined power grid control.

The application relates to a power topology graph dataset generation method and device of a power system, computer equipment and a computer readable storage medium. The method comprises the following steps: taking a target transformer substation as a main network public node based on the intersection relationship between a main network primary equipment topology structure and a regional boundary; screening out a target plant station which realizes electrical communication with the main network public node through a closed electrical path from a regional power grid based on the switch equipment state corresponding to the main network public node and the bus operation mode; taking a target geographical area covered by the target plant station as a service domain, constructing a local power service view of the main network public node based on the power grid collaborative service relationship of different regional power grids and the plant station collaborative service relationship of different service domains in the same regional power grid; and fusing the local power service view based on the electrical connection path relationship of the main network public node to obtain a power topology graph dataset. The method can accurately screen plant station data participating in cross-regional power interaction.

The invention relates to a risk aggregation method based on improved conditional value-at-risk in an off-road scene, belongs to the technical field of vehicle control, and solves the problem that off-road environment traffic risks are difficult to accurately and reliably assess due to the fact that risk indexes are isolated analysis or simple fusion and uncertainty of data is not fully considered in the prior art. Comprising the following steps: establishing a conversion relation among a planning coordinate system, a vehicle body coordinate system and a sensor coordinate system by taking a world coordinate system as a reference; acquiring current pose information of the vehicle and current point cloud data of the sensor in real time; performing horizontal processing on the current point cloud data to obtain horizontal point cloud data, and constructing a 2.5 D grid elevation map by adopting a sparse Gaussian process regression method; obtaining the cost of each traffic risk index of each grid based on a 2.5 D grid elevation map; and converting the cost of each traffic risk index to a planning coordinate system, and generating a current comprehensive traffic risk map by adopting an improved conditional value-at-risk method.

This invention belongs to the field of semiconductor defect detection technology, and relates to a method for global interpretation of wafer microstructure defects based on intelligent sensing. The method includes the following steps: acquiring a grayscale image of the wafer surface; dividing the grayscale image into multiple minimum grids and extracting the grayscale variance and mean of each minimum grid; calculating the merging similarity between adjacent minimum grids based on their grayscale variance and mean; adaptively determining a merging threshold based on the merging similarity; using the merging threshold to merge adjacent minimum grids layer by layer to obtain multiple region blocks, and recording the merging level of each region block. This invention solves the technical problems of over-enhancement in dense areas and insufficient enhancement in sparse areas caused by traditional global uniform enhancement, achieving adaptive local enhancement to match different pattern density regions of the wafer, significantly improving the detection accuracy of micro-defects while eliminating false defects.

This invention relates to the field of solar cell technology, specifically disclosing a solar cell and its metallization method, a cell module, and a photovoltaic system. The cell includes: a cell body; fine grid lines disposed on the cell body, with a plurality of fine grid lines arranged along a first direction and extending along a second direction; a main grid, including a main grid base metal layer and a main grid noble metal base layer; the main grid base metal layer is disposed on the side of the fine grid lines facing away from the cell body, extending along the first direction, with a plurality of main grid base metal layers arranged along the second direction, and the main grid base metal layer includes a plurality of overlapping portions, which are stacked with the fine grid lines of the same polarity and electrically connected; the main grid noble metal base layer is at least partially disposed at the overlapping portion and the layer of the fine grid lines, and in the thickness direction of the cell body, the main grid noble metal base layer is disposed between the overlapping portion and the cell body. This invention can significantly reduce production costs while effectively improving the problems of cell conversion efficiency degradation and reduced lifespan caused by base metals, enabling the manufactured cell module to have low production costs, high conversion efficiency, and long service life.

This invention provides an automatic generation method for full prismatic meshes based on elastic energy optimization, belonging to the field of computer-aided engineering and numerical simulation mesh generation technology. This method constructs a coarse geometric proxy and combines it with a regularized elastic energy model for layered parallel elastic relaxation. Furthermore, it effectively restores the thickness of prisms in narrow regions using global collision resolution and local scaffold relaxation techniques, and employs a multi-layer anisotropic prismatic mesh generation algorithm based on Hermite interpolation to control layer thickness evolution and orthogonality. This invention effectively overcomes the challenges of self-intersection and element flipping in prismatic meshes caused by complex grooves, slits, and other geometric features, mathematically guaranteeing the global injectivity and geometric validity of the prismatic mesh. It also decouples global energy optimization into a parallel local energy minimization problem, significantly reducing computational complexity to an acceptable range for engineering applications, ultimately achieving efficient, robust, and fully automated generation of full prismatic boundary layer meshes for complex industrial shapes.

The application provides a data processing method and device, equipment and a computer readable storage medium. The method comprises: obtaining three-dimensional grid data to be processed, performing dimension reduction processing on the three-dimensional grid data to obtain two-dimensional grid data; constructing a sub-grid hierarchical structure based on the two-dimensional grid data, wherein each hierarchical sub-grid structure comprises at least one sub-grid; performing triangular grouping on the two-dimensional grid data based on each sub-grid to obtain a triangular grouping set corresponding to each sub-grid; storing each sub-grid and the triangular grouping set corresponding to each sub-grid in layers according to the sub-grid hierarchy; determining a cross-sectional ring of each sub-grid based on vertex information and triangular information, and rendering the cross section of each sub-grid in advance based on the cross-sectional ring of each sub-grid. Through the application, the rendering efficiency can be improved.

This invention discloses a method for encoding structured light patterns, a structured light projection module, and a three-dimensional measurement system, belonging to the field of optical measurement. Addressing the problem of fixed and inaccurate structured light encoding units in existing methods, this invention provides a method for encoding structured light patterns. The method divides the structured light pattern into multiple types of grid units, forming a grid encoding group with a predetermined number of consecutively arranged grid units. The grid encoding group is encoded based on the type of each grid unit, ensuring that each grid encoding group has a unique and non-repeating code. The code of the grid encoding group maps to its spatial position within the structured light pattern. Decoding includes acquiring the structured light pattern, determining the type of each grid unit, and matching the grid encoding group with the encoding set to obtain its position. This invention achieves flexible, high-density, and highly occlusion-resistant absolute position encoding by uniquely and non-repeating grid encoding groups composed of multiple consecutive grid units, making it suitable for high-precision three-dimensional measurement.

This utility model discloses a three-phase grid voltage detection circuit, comprising: a switching module, a control module, three phase voltage sampling modules, and two comparison modules. The phase voltage sampling modules sample the phase voltages of the three-phase AC power of the tested grid and convert them into DC voltages. The comparison modules output a first-level signal through their comparison output terminals when the DC voltage is greater than a first voltage, and output a second-level signal through their comparison output terminals when the DC voltage is less than the first voltage. The switching modules turn off in response to the first-level signal to input the DC voltage to the control module, and turn on in response to the second-level signal to input the ground voltage to the control module. The control modules determine whether the three-phase AC power of the tested grid is under-voltage or over-voltage based on the DC voltage, and determine whether a phase is missing in the three-phase AC power of the tested grid based on the ground voltage. This utility model's three-phase grid voltage detection circuit has a simple structure and low cost.

This invention provides a green and low-carbon intelligent planning method and system for Arctic shipping routes. The method includes: constructing a gridded environmental model of the Arctic sea area; establishing a mapping relationship between ship navigation resistance and propulsion power based on a semi-empirical ice resistance formula to construct an ice resistance-power-carbon emission coupled model, and determining the carbon emissions per unit distance; constructing a multi-objective reward function, including a carbon emission penalty term based on the estimated carbon emissions and a time penalty term based on navigation time; and performing path training and strategy optimization based on the gridded environmental model and the multi-objective reward function to output the optimal route that satisfies the multi-objective constraints. This invention, by constructing an ice resistance-power-carbon emission coupled model and introducing an equivalent turning time mechanism, achieves synergistic optimization of navigation efficiency and carbon emission control in complex ice-covered environments, improving the engineering feasibility and green and low-carbon level of planned routes, and is suitable for intelligent decision-making in Arctic mixed ice and water navigation scenarios.

The embodiment of the present specification discloses an antenna parameter adjustment method and device, which can meet the experience perception demand of users for various service scenarios to the greatest extent without increasing resources. The method comprises the following steps: obtaining user network related data, cell engineering parameters and corresponding service scenarios in a grid of a region to be analyzed; determining steady-state users in the grid and network performance index data of the steady-state users in the grid based on the user network related data in the grid; determining a problem grid of the region to be analyzed based on the network performance index data of the steady-state users in each grid of the region to be analyzed in the corresponding grid; and adjusting cell base station antenna parameters of the problem grid based on the cell engineering parameters and the corresponding service scenarios of the problem grid.

A broadband adaptive mesh generation method and system are disclosed. The method includes: acquiring and initializing simulation scene parameters, simulation model information, and a mesh model; discretizing the broadband frequency range into multiple frequency points; for each frequency point, solving the Maxwell equations in the frequency domain based on the mesh model to obtain the scattering parameters of the simulation model at each frequency point; calculating the error index of each mesh cell at each frequency point, and calculating the encryption index based on each error index; determining whether the mesh cell needs encryption based on the encryption index, and adding a mark to each mesh cell that needs encryption at each frequency point; encryption of the marked mesh cells; resolving the Maxwell equations and scattering parameters using the encrypted mesh; determining whether the scattering parameters have converged based on the calculated convergence error; if the scattering parameters have not converged, iteratively executing the solution until the encryption process is completed until the scattering parameters converge, and outputting the current encrypted mesh as the final broadband adaptive mesh.