83 results about "Reference grid" patented technology

The invention relates to the technical field of industrial nondestructive testing, in particular to a paper drum defect full-inspection method based on machine vision, which comprises the following steps: step 1, constructing a curved surface self-adaptive optical environment: arranging annular low-angle strip-shaped light source arrays along the circumferential direction of a paper drum at equal intervals, and forming a dynamically adjusted set acute angle between the emergent direction of each light source and the surface normal of the paper drum, the acute angle is reduced along with the increase of the diameter of the paper barrel, and near-infrared coaxial diffused light sources are arranged at the two axial ends of the paper barrel; step 2, motion compensation three-dimensional reconstruction; 3, multi-modal defect hierarchical decision making: expanding the three-dimensional point cloud into a two-dimensional image along the circumferential direction, and constructing a dynamic reference grid with the grid cell size adaptively adjusted along with the pattern complexity on the two-dimensional image; cooperatively extracting geometric structure features, surface texture features and gluing seam features; and outputting defect classification through a three-level decision tree. By means of the method, efficient and accurate paper barrel full inspection can be achieved, and the automation level of a production line and the paper barrel quality control capacity are effectively improved.

The invention discloses a frozen soil roadbed hot melt settlement laser scanning measurement method and system, and relates to the technical field of measurement, the method comprises the following steps: obtaining gridding surface data, and obtaining an elevation data sequence of each grid point; acquiring an elevation change index of each grid point according to the elevation data sequence of each grid point; acquiring a plurality of grid points adjacent to the ith grid point and taking the plurality of grid points as a plurality of reference grid points of the ith grid point, acquiring each relative difference quantity of the ith grid point, and acquiring a correction proportion of the ith grid point according to the plurality of relative difference quantities of the ith grid point; and obtaining target elevation data of each grid point according to the correction proportion of each grid point and the measured elevation data at the current moment, and forming a measurement result including the gridding surface data according to the target elevation data of each grid point. The method has the advantages of identifying abnormal values, dynamically correcting measurement and improving data reliability.

The invention discloses a Chinese character structure and geometric space interactive writing method, which relates to the technical field of interactive writing methods, and comprises the following steps: carrying out geometric classification processing on Chinese characters by adopting a structural analysis method to obtain a Chinese character type set comprising a left-right structure, an up-down structure and a surrounding structure; carrying out geometric rule definition processing on the obtained Chinese character type set to obtain a geometric constraint rule base containing component proportion, gravity center alignment and stroke topological relation; performing structured storage processing on the obtained geometric constraint rule base by adopting a database construction method to obtain a dynamically-called Chinese character writing template database; the writing process of the user is monitored in real time, and a writing feature data set containing stroke coordinates, writing speed and pressure data is obtained; performing matching processing on the obtained writing feature data by adopting a dynamic grid generation method to obtain a self-adaptive reference grid corresponding to the currently written Chinese character; and carrying out deviation detection processing on the obtained self-adaptive reference grid by adopting a computer vision method.

The invention discloses an industrial art material detection method based on multi-modal deep learning, particularly relates to the field of material analysis, and is used for solving the problems that cross-modal data alignment of curved surface utensils in highlight and multi-layer coating scenes is difficult, and material boundaries are easy to drift along with shooting batches and visual directions. The method comprises the following steps of: positioning a hyperspectral line scanning fragment; constructing a local reference grid to realize initial pairing; generating pixel-level residual image quantization dislocation; estimating luminosity mapping to form consistent bimodal data pairs after eliminating a high-reflectivity region; iteratively supplementing anchor points or adjusting grid rigidity, generating a stable material graph, updating an index table and a consistency record, ensuring cross-batch reusability and traceability, and improving the material detection precision.

The invention discloses a stainless steel stator blade composite repairing method based on model reconstruction, which is characterized by comprising the following steps of: acquiring a blade profile section and parameters of a stainless steel stator blade; blade profile size data of a new blade are collected, and a point cloud model is established; acquiring an optimal point cloud model based on the data of the point cloud model, and establishing a blade reference grid model as a blade modification standard model; adopting UG software to reconstruct the blade modification standard model; detecting an old blade of which the blade profile contour is within the baseline deviation range of the reference model according to the reconstructed blade modification standard model for repairing; and blade corrosion pit repairing and chord length repairing are conducted on the old blade based on the blade modification standard model, and blade modification and X-ray detection are conducted after repairing is completed. According to the method, the size precision of the established blade modification standard model is within 0.02 mm; the repairing area can effectively avoid the problem of secondary corrosion, and the service life of the blade is prolonged.

The invention provides a power collection system topology optimization method and device based on a variable weight minimum spanning tree, and relates to the technical field of offshore wind power topology optimization. The method comprises the following steps: grouping a plurality of fans based on the angle difference among the plurality of fans according to the position information of the offshore booster station to obtain a plurality of fan sets; a Delaunay triangulation method is adopted to construct a reference grid connecting line of each fan set; and based on the reference grid connection line of each fan set, generating the optimal topology of the to-be-processed offshore current collection system based on a variable weight minimum spanning tree algorithm. According to the method, the grouping clustering method, the Delaunay triangulation method and the variable weight minimum spanning tree algorithm are combined, and the topology design of the offshore wind plant current collection system is efficiently, economically and rapidly achieved. According to the invention, topological connection and cable specification type selection can be optimized synchronously, and a global optimal solution is sought between the cable path length and the type cost difference caused by the change of the current-carrying capacity, so that the fine control of the overall cost of the current collection system is realized.

The invention discloses an intelligent land use monitoring system and method based on natural resources, and relates to the technical field of intelligent land use monitoring. The system comprises a multi-source data integration module, a risk source identification module, a risk quantification and early warning module and a dynamic monitoring and slow release module. The multi-source data integration module constructs a space-time reference grid, collects four types of data and establishes a four-dimensional incidence matrix through grid ID anchoring; the risk source identification module generates a violation inducement characteristic spectrum based on the matrix and determines a risk source type; the risk quantification and early warning module calculates an initial risk value and a diffusion probability, and generates a dynamic early warning map and a monitoring priority sequence; and the dynamic monitoring and slow-release module updates data and risk parameters in real time and outputs a slow-release prompt, so that accurate pre-judgment and dynamic supervision of land use risks are realized.

In some implementations, a method of facilitating pointing of a mobile device at a satellite of a satellite constellation for satellite-based data communication, may comprise obtaining, at a first time point, historical orbital data indicative of orbital movement of a plurality of satellites of a satellite constellation over a period of time. The method may also comprise assigning a reference orbital dataset of the plurality orbital datasets determined at a reference time point to corresponding control boxes of a reference grid covering the satellite constellation, wherein each control box of the reference grid corresponds to a satellite of the satellite constellation. The method may also comprise mapping the plurality orbital datasets to the reference grid for an orbital model based on the assignment of the reference orbital dataset.

A method detects a spatial arrangement of a physical object by assigning an attribute to a selection of uniquely identifiable global grid elements of a reference grid network. The method includes providing a global reference grid network with a geographical reference point defined vector-object-independently and global grid elements, which are adjacent to one another without overlap and are uniquely identifiable within the global reference grid network and are georeferenced with regard to a provided reference coordinate system, providing a vector object with at least one vertex, to which a geographical coordinate of the geographical reference coordinate system is assigned, determining and selecting those global grid elements that overlap with the vector object, and assigning an object attribute linked with the vector object or a further attribute to the grid elements selected and storing the selected grid elements with assigned attributes.

The invention belongs to the technical field of building tools, and discloses a grating type wall brick laser pay-off device which comprises a supporting mechanism, an adjusting mechanism is installed on the supporting mechanism, an optical mechanism is installed on the adjusting mechanism, and the supporting mechanism is used for providing stable support for the whole device and can adjust the height of the optical mechanism. The adjusting mechanism is used for achieving horizontal calibration, vertical calibration and distance calibration with a to-be-constructed wall face on the optical mechanism, and the optical mechanism is used for conducting projection on the to-be-constructed wall face to form clear and straight wall brick laying reference grid lines with the uniform distance. Through the coaxial optical design of the laser, the five-time Galileo beam expanding lens, the DOE grating and the plano-convex lens and the multi-dimensional accurate calibration of the adjusting mechanism, it is ensured that wall tiles, floor tiles and suspended ceilings are accurately crossed and jointed, internal and external corners are straight, and the pain point that traditional paying-off precision is insufficient is solved.

This invention discloses a method for accurate detection and protection control of islanding effect in photovoltaic inverters, relating to the field of photovoltaic inverter islanding effect detection technology. The method includes the following steps: acquiring relevant threshold parameters of the photovoltaic inverter; collecting voltage data in real time at the grid-connected end of the photovoltaic inverter to obtain grid-connected voltage data; performing voltage anomaly analysis and processing the anomaly data to obtain reference grid-connected voltage data; performing fluctuation deviation analysis and prediction based on the reference grid-connected voltage data, and setting dynamic thresholds to obtain dynamic threshold data; detecting the islanding effect of the photovoltaic inverter based on the dynamic threshold data, and performing corresponding protection control. This invention addresses the problem that existing photovoltaic inverter islanding effect detection technologies, when using over- and under-voltage detection, cannot predict short-term voltage changes based on grid voltage variations, and simultaneously dynamically adjust over-voltage and under-voltage thresholds.

The invention provides an image processing method and device, a vehicle and a storage medium, and relates to the technical field of head-up display. The method comprises the steps of obtaining a to-be-displayed image; determining an anti-distortion reference grid corresponding to the windshield; wherein the anti-distortion reference grid is generated according to the reference image and a distortion image corresponding to the windshield, and the distortion image is formed by projecting the reference image onto the windshield; the windshield is glass with curvature, the distortion parameters of the distorted images corresponding to the glass with different curvatures are different, and the distortion parameters are used for representing the distortion degree generated when the images are projected to the glass with curvature; performing sampling processing on the to-be-displayed image based on the anti-distortion reference grid to obtain an anti-distortion image of the to-be-displayed image; and projecting the anti-distortion image of the to-be-displayed image to a windshield to obtain a target display image. According to the method, the distortionless target display image can be displayed on the windshield, and customized correction of image distortion is realized.

The application relates to a facial expression recognition-based method and system for evaluating anxiety of children in dental treatment. The method comprises the following steps: acquiring a three-dimensional facial point cloud sequence, a two-dimensional micro-expression texture image sequence and a bone conduction audio signal sequence in the process of dental treatment of children; performing point cloud cleaning and three-dimensional reference grid reconstruction on the three-dimensional facial point cloud sequence to obtain a geometric base grid sequence, and performing texture mapping to obtain a texture-mapped three-dimensional face grid sequence; extracting an acoustic feature sequence, a facial action unit intensity sequence and a facial micro-motion intensity sequence; normalizing the data before treatment as a calibration baseline to obtain a relative action unit intensity sequence and a relative micro-motion intensity sequence; performing multi-modal fusion to obtain a continuous emotional disturbance index; grading to obtain a dynamic Frankel behavior scale result, calculating an individualized fear survey score, and fusing to obtain a dental treatment anxiety index of children. The method can realize dynamic evaluation of dental treatment anxiety of children and improve the accuracy of anxiety evaluation.

This invention provides a pallet picking method, apparatus, and electronic device. The method includes determining a first detection result corresponding to a target pallet, the first detection result being determined based on the number of first laser points falling into each reference grid in a reference grid map; determining a second detection result corresponding to the target pallet, the second detection result being determined based on the number of second laser points falling into each reference grid in the reference grid map; and determining whether to continue picking up the target pallet according to the socket boundary recognition result based on the first detection result and the second detection result. This solution can automatically detect whether there are abnormalities in the pallet and its goods, such as pallet and goods positional shifts caused by forklifts hitting the goods, or pallet abnormalities caused by ground hole collapse, effectively avoiding pallet positional shifts or goods hitting caused by inaccurate positioning, low picking accuracy, or other situations, thus increasing the safety of pallet picking.

The application relates to the technical field of aero-engine blade repair, and particularly discloses a variable cross-section blade remanufacturing repair model acquisition method and a blade detection tool, which comprises the following steps: S1, collecting point cloud data of different variable cross-section blade new parts, and establishing a variable cross-section blade point cloud model; S2, acquiring a reference grid model in a weighted average manner according to the point cloud model in S1; and S3, reconstructing the reference grid model in S2 to obtain a variable cross-section blade remanufacturing repair model. The method can improve the precision of the variable cross-section blade remanufacturing repair model, and a blade detection tool can be designed and manufactured based on the obtained remanufacturing repair model, so that the blade type and size data of the variable cross-section blade can be detected during the repair process, the blade repair quality is improved, and the repaired blade can meet the aerodynamic requirements of the engine blade type.

The invention relates to a Lucas-Kanade optical flow distortion detection method based on feature extraction. The method comprises the following steps: when a transparent part to be detected is not placed, putting a grid plate in front, and shooting the grid plate by using a camera to obtain an undistorted grid image; carrying out downsampling on the reference grid and the distortion grid at the same time, then extracting feature angular points from the reference grid and the distortion grid respectively, and carrying out deformation field calculation corresponding to the points; and mapping a calculation result to an original image layer, and carrying out secondary optical flow calculation to obtain an accurate deformation field so as to calculate optical flow distortion. The measurement method is simple, easy to operate and high in measurement speed, and solves the problems that the measurement speed is low and the measurement precision is poor when the optical distortion of the heterogeneous composite transparent part is measured.

Disclosed are systems and methods for a computerized framework that provides novel mechanisms for determining the automatic placement of a reference grid and an anatomical reference frame (ARF) of a bone. The disclosed framework is operational for the enablement of computerized mechanisms that, based on a three-dimensional (3D) model of a distal femur, can determine, provide and / or display the anatomically correct positions of femoral tunnels and / or other forms of surgical landmarks surgeons rely on for anterior cruciate ligament (ACL) procedures. The disclosed framework is also operational for the enablement of computerized mechanisms that, based on a three-dimensional (3D) model of a proximal tibia, can determine, provide and / or display the anatomically correct positions of tibial tunnels and / or other forms of surgical landmarks surgeons rely on for ACL procedures.

The embodiment of the invention relates to the field of data processing, and provides a power grid frequency control method of a small hydroelectric generating set and a related device, and the method comprises the steps: obtaining the current frequency of the small hydroelectric generating set, and obtaining a reference network access frequency interval of a small hydroelectric generating set microgrid where the small hydroelectric generating set is located; if the current frequency is not in the reference network access frequency interval, acquiring current water inflow and environment water quantity information of the small hydropower generating set; determining a reference frequency adjustment parameter according to the frequency offset between the current frequency and the reference network access frequency interval and the operation state information of the micro-grid of the small hydroelectric generating set; frequency adjustment correction parameters are determined according to the current water inflow and the environment water quantity information; performing correction processing on the reference frequency adjustment parameter by adopting the frequency adjustment correction parameter to obtain a target frequency adjustment parameter; and performing frequency adjustment on the small hydroelectric generating set by using the target frequency adjustment parameter, thereby improving the accuracy of determining the frequency adjustment parameter.

This application provides a method and apparatus for low-altitude digital management based on urban spatiotemporal grids. It innovatively establishes a unified urban spatiotemporal reference grid system, achieving precise airspace division through multi-layered grid units. A spatiotemporal grid data assignment model is designed, utilizing deep neural networks and spatiotemporal convolutional layers to process multi-source heterogeneous data, and employing an attention mechanism to achieve intelligent mapping of grid features. An airspace situational awareness model is constructed based on graph neural networks, combining a message passing mechanism to capture the spatiotemporal dependencies between grid units, enabling accurate prediction and hierarchical control of airspace status. This method effectively addresses the shortcomings of traditional technologies in airspace division, data processing, and situational awareness, significantly improving the accuracy and practicality of urban low-altitude digital management.

The method comprises: determining a current coupling degree between each grid-forming converter and a reference grid-forming converter under each fault; fitting an unbalanced power model of each grid-forming converter according to coupling degree data and unbalanced power data of each grid-forming converter at each moment in a target period; determining a target unbalanced power of each grid-forming converter at a next moment according to the unbalanced power model of each grid-forming converter, a current unbalanced power and the current coupling degree; or determining the target unbalanced power of each grid-forming converter at the next moment according to the unbalanced power model of each grid-forming converter, the current unbalanced power and an interactive coupling degree. The method can quickly determine a virtual rotor angle of each grid-forming converter.

The invention discloses a dynamic grid encoding and decoding method and device, an encoder, a decoder and a system, and relates to the field of multimedia. The method comprises the steps that a grid obtained by filtering a reconstructed grid of an encoded grid is used as a reference grid, and due to the fact that the reference grid obtained by filtering the reconstructed grid is closer to the encoded grid, the error between the reconstructed grid and the encoded grid corresponding to the reconstructed grid is reduced; the reference grid obtained by filtering the reconstructed grid is utilized to predict the dynamic grid, the prediction result is more accurate, the dynamic grid to be coded is coded according to the prediction result to obtain the code stream, the grid can be represented by using as little data as possible, and thus the code rate is reduced. The grid obtained by filtering the reconstructed grid of the decoded grid is used as the reference grid, and the reference grid obtained by filtering the reconstructed grid is used for decoding and reconstructing the dynamic grid, so that the obtained reconstructed grid is more accurate.

The invention discloses a real-time people flow density monitoring and dynamic early warning method based on multi-source data fusion, and relates to the technical field of monitoring and early warning. The method comprises the following steps: constructing a digital grid map, carrying out space-time alignment on multi-source data, and dynamically calculating vision and signal confidence according to the physical coverage state of a sensor in each grid, so as to distinguish a calibration reference grid and a grid to be calibrated; and the density estimation value of the signal dominant grid is dynamically corrected by using a reference conversion coefficient calculated in real time in the reference grid, early warning is triggered by calculating the residual bearing capacity pressure difference between the abnormal high-density grid and the peripheral grid, and a dredging instruction pointing to the high-residual bearing capacity grid is automatically generated. Through dynamic calibration transmission and pressure difference diversion based on gridding data confidence, the effects of sensing people flow density with high precision and generating an intelligent dredging instruction in a shielding environment are realized, and the problems of insufficient monitoring precision and disjunction of early warning and dredging in a complex environment in the prior art are solved.

This application discloses a decoding method, an aircraft, and a storage medium, which can improve the decoding accuracy of images containing beacons when the beacon is occluded by shadows. The decoding method includes: acquiring an image containing the beacon and dividing the image into M*N grids; acquiring the average pixel value of the pixels contained in each of the M*N grids; designating any grid in the image as a first reference grid; determining the decoding result of the first decoding grid based on the decoding result of the first reference grid and the relative magnitude of the average pixel values ​​of the first decoding grid adjacent to the first reference grid in the target direction; using the first decoding grid as a second reference grid; determining the decoding result of the second decoding grid based on the decoding result of the second reference grid and the relative magnitude of the average pixel values ​​of the second decoding grid adjacent to the second reference grid in the target direction; and obtaining the decoding results of each grid in the image.

The application discloses a kind of spaceborne laser radar pointing and ranging random error estimation method, device, equipment and storage medium, belong to spaceborne laser radar technical field.The method includes: according to the longitude, latitude and elevation of the multiple laser radar observation data obtained, determine the first coordinate information sequence, second coordinate information sequence and reference height sequence of reference grid data;Reference grid data is unified with multiple laser radar observation data vertical datum;According to the elevation, reference height sequence, first coordinate information sequence and second coordinate information sequence, and using random error statistical characteristic solution model, determine the statistical characteristics of plane and elevation random error;The statistical characteristics of plane and elevation random error, space measurement and positioning data are input into pointing and ranging random error estimation model, to obtain the statistical characteristics of pointing and ranging random error.The precision of the technical scheme provided by the application can be improved for pointing and ranging random error estimation.

The application discloses a three-dimensional model alarm position determination method and device applied to a tobacco packaging equipment. The method comprises the following steps: based on a three-dimensional model of the tobacco packaging equipment, a three-dimensional display scene is constructed and model display parameters are configured; a plurality of unpositioned alarm marker points are pre-generated, and each alarm marker point is bound with the equipment alarm information in a preset storage library in one-to-one mapping; a reference grid of each alarm marker point is constructed in the three-dimensional display scene, and the space position of the reference grid in the X, Y and Z three-axis directions is adjusted through an interface control component; a click operation of a user on the reference grid is received, the two-dimensional coordinates of the click position are acquired, a space ray starting from a viewpoint is generated based on a ray casting method, and the intersection point coordinates of the space ray and the reference grid are calculated, and the intersection point coordinates are determined as the three-dimensional space position of the corresponding alarm marker point. The technical scheme provided by the embodiment of the application can effectively improve the intuitiveness and efficiency of equipment fault positioning.

This invention discloses a laser scanning measurement method and system for thermal thawing settlement of frozen soil subgrade, belonging to the field of measurement technology. The method includes: acquiring gridded surface data and acquiring elevation data sequences for each grid point; acquiring elevation change indices for each grid point based on the elevation data sequences; acquiring multiple grid points adjacent to the i-th grid point and using them as multiple reference grid points for the i-th grid point, acquiring relative differences for each i-th grid point, and acquiring correction ratios for the i-th grid point based on the relative differences; acquiring target elevation data for each grid point based on the correction ratios and the measured elevation data at the current moment, and forming a measurement result including gridded surface data based on the target elevation data of each grid point. This invention has the advantages of identifying outliers, dynamically correcting measurements, and improving data reliability.

The invention relates to the technical field of flow field numerical simulation analysis, in particular to a flow field numerical simulation analysis method and system for a flash evaporation angle type flow regulating valve. The method comprises the following steps: acquiring basin initial data of historical simulation and the flowing speed and direction of fluid in a historical simulation process; dividing the historical simulation into scene categories based on the similar condition of the initial watershed data, and obtaining reference historical simulation according to the flow velocity and direction in the scene categories; on the basis of occurrence conditions of corresponding grid division strategies in different scene categories, simulating the reference history, and obtaining an optimal grid division strategy; and obtaining a reference grid division parameter based on the boundary condition of the reference historical simulation corresponding to the optimal grid division strategy and the grid division parameter, and further determining the grid division of the geometric model of the flash angle type flow regulating valve in the current simulation. According to the method, the optimal grid division strategy and the reference grid division parameters are obtained, so that the accuracy and robustness of numerical simulation of the flash evaporation flow field are effectively improved.

The application discloses a construction method of a generalized honeycomb power distribution network topology structure model, and particularly relates to the fields of power distribution network topology modeling and fault self-healing control technology, and is used for solving the problem of difficult convergence of power supply path reconstruction range caused by unbalanced topology model granularity, disconnection between operation constraints and topology in the fault self-healing process of a complex power distribution network, and insufficient calculation efficiency and decision traceability. A honeycomb unit satisfying homologous feeding, voltage level, protection partition and spatial adjacent constraints is constructed based on a honeycomb reference grid in a power distribution area, and a multi-layer topology structure covering a combination of a transformer substation and a feeder, the honeycomb unit and specific equipment and line sections is formed, the topology updating range under a fault scene is limited by a topology state anchor point and its influence domain, and candidate power supply paths are screened in an operation constraint field, so that the technical effects of converging the calculation range, improving the response speed and constraint satisfaction in the process of power distribution network fault isolation and power supply path reconstruction are achieved.

The invention relates to the technical field of batteries, and discloses an automatic cell grid division method, system and device and a medium, and the method comprises the steps: obtaining the azimuth vector of a reference cell and the azimuth vector of a target cell; wherein the azimuth vector is used for representing the position and the direction of the battery cell, and the azimuth vector is generated based on coordinate information of a preset number of specified geometric surfaces in a geometric entity of the battery cell; based on a space mapping relation between the azimuth vector of the reference cell and the azimuth vector of the target cell, copying and assembling a reference grid model of the reference cell into a geometric entity of the target cell so as to generate a target grid model of the target cell, the technical problem of how to realize the automatic modeling of the finite element grid of the battery cell is solved, and the technical effect of improving the simulation efficiency is achieved.

The present invention relates to the technical field of autonomous driving. Disclosed are a road region detection method and apparatus, and an electronic device. The method comprises: using LiDAR provided on a vehicle to acquire original point cloud data of a region to be subjected to identification, and performing grid cell division on the original point cloud data, so as to obtain first-type grid cells and second-type grid cells, wherein each first-type grid cell comprises at least one piece of original point cloud data, and none of the second-type grid cells comprises any original point cloud data; using a preset road detection model to determine a road type of each first-type grid cell on the basis of the original point cloud data in the first-type grid cell, wherein the road type comprises a road region and a road boundary; and selecting reference grid cells from among the first-type grid cells, and using the road type of each reference grid cell and a sensing range parameter of the LiDAR to determine a road type of each second-type grid cell. Thus, the accuracy of road region detection is improved.